Chart(), X() and XY(): New
parameter font_size with a default value of 1, consistently
scales main_size, lab_size, and
axis_size and legend text wear appropriate so that all
consistently adapt for larger or smaller plot sizes.
Chart(): Parameter rotate_x parameter
extended to the Plotly visualizations, which appear in the RStudio
Viewer window.
Chart(): Consistent with the other charts,
type set to dot now varies the hue of the
dots, though fill can be used to set to a single color, as
with the other charts.
Chart(): For type="dot", a numerical
y supplied as raw data now requires a stat,
consistent with the other chart types and with the documented behavior
of y; the chart no longer defaults silently to the mean.
Unaffected are counts when y is omitted, and a
pre-aggregated summary table in which each level of x
already pairs with a single value of y that is plotted
directly without a stat.
style(): Parameters main_cex,
lab_cex, and axis_cex renamed to
main_size, lab_size, and
axis_size, with an appropriate warning message if the old
names are used.
style(): Specify the title size on the interactive
plotly charts with the parameter main_style, with a default
value of 1.
showPalettes(): Updated. The old hcl option
changed to sequential but now just with sequential
palettes. Now, the hues palette is its own option, showing
the qualitative scale of different hues across many combinations of
chroma and luminance.
tsExtract(): Existing function made external,
user-available because XY() will no longer perform this
task automatically, as it now requires a y variable.
ttest() and X(): New parameter
full_curve that by default is TRUE for the
Plotly (Viewer window) and Base R (Plots
window) density curves. If set to FALSE then the density
curves are truncated at the range of the data.
ttest() and X(): The resulting Plotly
density curves have been enhanced.
X(): For
type="freq_poly", theby=parameter is now operative, along with new parameterarea_fillwith default value of“off”forby=`.
X(): New parameter contour_legend with
default value of FALSE to suppress the legend of a contour
plot.
X() and XY(): Can now call
fill=getColors(...) to customize the fill colors and not
explicitly specify n= for the number of generated
colors.
XY(): Default value of , the number of contour curves,
increases from 10 to 20.
XY(): In the declaration of the function, its signature,
y is now required. The only reason why it was not before is
that a time series class ts could be submitted as
x, and then the x (time) and y
variables extracted. Now, the user does their own extraction with the
new external function tsExtract().
XY(): For the scatterplot and a by=
stratification, the default is now to vary both color and shape for the
default hues palette to optimize for perceived color
issues.
Chart(): Local parameter theme now working
again.
Chart(), X(), XY(), and
style(): Setting a local theme no longer
alters the persistent quiet, brief,
suggest, or notes options; these change only
when explicitly specified. Previously a local theme could
inadvertently set quiet to TRUE, suppressing
later output.
Chart(): Chart labels now respond to setting
lab_cex and axis_cex with the
style() function.
getColors(): Now properly balances l
(luminosity) and c (chroma) when one is set as a range
given by a vector of two values, beginning and ending value.
interact(): Save button now works for the
three input interactive visualizations.
style(): "lightbronze" style now works.
XY(): y-axis title (label) now plotted more
consistently.
XY(): Parameter main now works to set the
title.
Many more miscellaneous bug fixes and much internal refactoring, including making axis labels and the plot title consistent across the visualization functions.
Chart(): For type="dot", parameter
facet now implemented.
XY(): The new argument for type is
"hexbin" for a hexbin plot from the package of the same
name.
Chart(): Numerous issues, such as: + bar chart scaling
now works properly for aggregation over a y variable +
icicle chart title is now centered over the chart + bar chart title now
displayed as the argument for main + bar chart labels now
correctly display on the plotly bar chart bars (though a refresh of the
viewer window may be needed).
Regression(): No regular output to the console bug
fixed.
X(): Setting type to freq_poly
now only produces a frequency polygon in the Plots window,
not also the histogram. The interactive Plotly version still renders in
the Viewer window.
Chart(), X(), XY(): If
accessing variables in the global environment instead of the data frame,
now specify data=NULL.
Chart(): For hierarchical charts - sunburst, treemap,
and icicle - when rendered with a sequential scale, with any theme other
than the default such as with style("gray") or setting
fill="grays", the dominance of each plotted slice or
rectangle is scaled according to the value of the corresponding
numerical entry.
Chart(): For type="dot", data no longer
need be pre-aggregated.
XY(): Time series forecasting added to the plotly
interactive visualization that appears in the RStudio
Viewer window.
XY(): Old parameter name size changed to
the more descriptive pt_size, also to be consistent with
Chart().
Major bug evaluation was done across the lessR
functions.
Chart(): If there is a stat transformation
of the y variable, then the label on each bar defaults to
"input", that is, as it exists in the data without further
transformation.
Logit(): Added parameters pt_size and
transparency to customize plotted points for the combined
sigmoid/scatterplot, and xlab and ylab for the
axes labels.
XY(): When forecasting from ts_ahead
parameter, dependent packages are no longer attached, no longer
cluttering the output with distracting messages.
XY(): When forecasting from ts_ahead
parameter, more robust inference of the time unit by which the data are
organized, particularly with missing data.
Chart(): Numerous low-level errors corrected.
Chart(): If quiet is set to
TRUE, suggestions are no longer displayed, and the
frequency table is also not displayed.
Chart(): Fixed rendering issues for Plotly interactive
visualizations when knitting from R Markdown and Quarto. Multiple
interactive charts now render correctly in sequence. (Do need to p <-
Chart(…), followed by p to print.)
Chart(): Weighted mean now correctly computed in place
of the unweighted mean when calculating deviations to plot instead of
the original data.
X(): Fixed rendering issues for the histogram when
knitting from R Markdown and Quarto.
XY(): Forecasting legend no longer sometimes is placed
too high vertically, sometimes even outside the plotting region.
XY(): If forecasting from a time series, the only plot
is to the RStudio Plots window as the forecast does not apply yet to the
interactive plot in the Viewer window.
XY(): When a by variable is present for
forecasting, date misalignment could occur. Now fixed.
Chart(), X(), XY(): If all
numerical axis values are less than 10,000, then by default do not
insert a comma, such as years as integers instead of dates, display 2025
instead of 2,025. If any axis value is larger than 1 billion, use
scientific notation.
Chart(): For computing a statistic of a numerical
variable from which to construct a hierarchical chart – pie and
sunburst, treemap, and icicle – now the statistic weighted by sample
size is displayed, such as the weighted mean according to the sample
size of each group, instead of just the unweighted average of the
available group means.
Chart(): For a hierarchical chart – pie and
sunburst, treemap, and icicle – now the hover over each cell or slice
indicates the corresponding sample size for any statistic other than the
count.
Chart(): For a Cleveland dot plot, set
type="dot" and specify the categorical \(x\)-variable with unique values and specify
a continuous variable for \(y\). The
reserved keyword row_names is available for the argument to
\(x\).
Chart(), X(), and XY(): If
quiet is TRUE, the citation to Plotly is not
displayed.
Chart(): For data aggregated by the function, the hover
title does not list the statistic type twice, and the hover value is
reported to two more decimal digits than the data to account for the
computation of the mean, etc.
style(): Works more consistently.
X(): For
type="vbs", point size now responds to parameterpt_size`.
X(): For type="freq_poly", parameter
stat now works.
XY(): Parameter ts_area_fill is now
working.
XY(): When there is missing data for a time series, now
properly plotted as missing, that is, blank space, with the
corresponding dates showing.
XY(): For an interactive plotly time series: +
size=0 for the point size now works. + Hover now has an
x-value variable name and shows the corresponding numeric value as a
number instead a formatted as a date. + digits_d now works
XY(): For a time series plot, misleading suggestions
removed.
XY(): For a time series plot from an R time series
object, the \(y\)-axis label is now
correct.
XY(): For the interactive time series plot, the
size variable for the size of points beyond the default of
zero now active.
XY(): For the paired dot plot (not yet moved to
Chart() where it belongs under the recent reorganization),
the unique character values such as row names are now properly aligned
with the plotted points, and sorted properly.
XY(): Allow for a bubble chart when \(x\) and \(y\) are both categorical.
XY(): Allow for forecasts in the interactive plotly
display (RStudio Viewer), not only to the static (RStudio
Plots) display.
Chart(), X(), and XY(): For
the plotly charts, allow for specifying the font sizes of different
displays.
Logit(): Add parameters xlab and
ylab. Add parameter size for the plotted
points.
Chart(): New general function for visualizing one or
two categorical variables in which each level or joint level corresponds
to a numerical value. Supports the standard bar chart plus interactive
Plotly visualizations according to the type parameter:
.
Chart(): Parameter type determines the
visualization form. Values include "bar",
"pie", "radar", "treemap", and
"icicle". "sunburst" is also available, but
pie charts with a by variable automatically operate as
sunburst charts.
X(): New general function for visualizing the
distribution of a continuous variable, optionally grouped by a
categorical variable. Implements the standard histogram plus additional
distribution displays according to the new type
parameter.
XY(): New general function for visualizing the joint
distribution of two continuous variables or one continuous and one
categorical variable, with optional subgrouping. Incorporates the
standard scatterplot as the default plus additional visualizations
selected via the new type parameter.
BarChart() and PieChart(): These
established lessR functions now serve as aliases to the
unified Chart() function, preserving existing user scripts
while providing access to the expanded visualization framework.
Chart(), X(), and XY():
New parameter use_plotly generates an interactive Plotly
visualization in the RStudio Viewer window (sometimes in addition to the
static plot in the Plots window). A core subset of Plotly features is
supported, including grouping via by, optional fit lines
(fit), confidence ellipses, bubble plots with a size variable, and full
color customization.
savePlotly(): New function for saving the most recent Plotly visualization to an HTML file. Complements the RStudio Export interface and works for any Plotly visualization created during the session.
Flows(): New function for visualizing quantities flowing across two- or three-node structures as an interactive Plotly Sankey diagram. This name reflects the broader “data views” perspective adopted throughout lessR.
PieChart(): When used through the unified Chart()
functionality, now supports the by parameter to generate
grouped pie charts in interactive Plotly mode where results appear in
the Viewer window.
X(): For univariate density estimation, the
type="density" naming conflict with the new
type parameter is resolved. The density form is now
selected with kind="general" or also values of “normal” or
“both”.
XY(): For bubble plots, default level of
transparency now set at 0.7 to better detect bubble
overlap.
XY(): Default size of plotted points made a little
larger.
facet1 and facet2 parameters: Now
become facet as a scalar or as a two variable
vector.
style(): When applying a color theme, default point
transparency, 0.1, is now correctly retained.
PieChart(): Parameter label_colors now
works.
Plot(): For type="contour", fit line now
works.
Plot(): For facet (lattice) scatterplots, fit line now
works.
Regression(): ANCOVA Rsq_Press was not being computed.
Now it is.
Plot(): Time series forecasting from
ts_ahead set to a value larger than zero is now upgraded to
fable functions ETS() for exponential
smoothing forecasting and TSLM() time series linear
regression forecasting along with other functions from the
fpp3 ecosystem as documented at https://otexts.com/fpp3.
ts_source defaults to
"fable" but can assume the value of "classic"
for standard HoltWinters() exponential smoothing or linear
regression with seasonality first removed and then added back in.ts_trend, ts_seasons, and
ts_error redefined to accept values of "A" for
additive effect, "M" for multiplicative effect for
ETS(), and "N" for no effect, as well as
"Ad" and
"Md" forETS(). Enter?Plot` to view the manual
for the details.sort_by(): Deprecated function removed, replaced by
order_by to avoid name conflict with Base R which recently
took over that name.
order_by(): Allow to process the alternative data
frames called tibbles from the tidyverse.
PieChart(): Add a blank line after the title of the
pie chart to provide more separation from the title and the chart
itself.
Plot(): Changed parameter names so that all
parameter names applicable to time series analysis begin with
ts_.
ts_stack instead of stack.ts_area_fill instead of area_fill.ts_area_split instead of area_split.ts_n_x_tics instead of n_date_tics.Plot(): For the time series unit parameter,
ts_unit, submitted value is now checked to make sure it is
valid, for example, "days" instead of
"daily".
Plot(): For the time series unit parameter,
ts_fitted, now the y data value is also
displayed along with the x-date value, and the fitted
value, and the level.
Plot(): For a forecast from a time series plot, with
parameter ts_ahead, plotted forecast colors follow the
style theme, with a default of red for the default colors
theme.
Plot(): For a forecast from a time series plot, with
parameter ts_ahead, more vertical spacing between the
legend elements: data, model fit, and forecast.
Plot(): For a time series analysis with a
by variable, the data are now sorted by that variable
implicitly instead of requiring sorting before the analysis.
Plot(): For trellis (faceted) plots, if a date
variable, now the name of the date variable is displayed because
converting it to NULL, as with the previous procedure, just
leaves a blank space without compressing the space.
STL(): Saving the output visualization to a PDF file
is now possible with new parameters pdf_file,
width, and height.
STL(): Output object data frame now includes the
data as well as the trend, seasonal, and error components.
STL(): Output object data frame now includes the
formatted dates according to their unit, e.g., “2020 Q1” instead of
2020-01-01 for quarterly data.
When writing a data frame to a data file, if the file specification includes a path name, the result displayed at the console now correctly reflects that specification.
interact("BarChart"): Selecting a numeric variable
from which to compute statistics such as the mean as the y
variable for the bar chart now works after previous change to
BarChart() parameters.
interact("Histogram"): Density plots now work again
after previous change to Histogram() parameters.
Plot(): Parameter n_axis_y_skip now
works for time series trellis or faceted plots.
Plot(): For the now classic time series
forecasting with the regression, if seasonality is specified without
trend, the fitted and forecasted values are now properly adjusted for
the overall level of the time series.
train_test(): Data frames now can be processed with
any valid name, not just d.
Density(): Old, deprecated function deleted. Use
Histogram() with stat set to
"density".
Histogram(): Parameter stat_x changed
to stat.
Histogram(): Parameter density dropped
and is now a value of parameter stat. Specify
stat="density" in place of
density=TRUE.
Histogram(): When stat is
density, the density curve is plotted from the first value
of the estimated density until the last value without extending the
\(x\)-axis further.
Histogram(): When stat is
density, the line_width parameter
added.
Histogram(): When stat is
density, parameter x.pt changed to
x_pt.
Plot(): For bubble plots, where the
size of the plotted points varies according to the values
of a specified variable, legend is now displayed.
Plot(): Two new parameters for Trellis (facet)
plots: n_axis_x_skip and n_axis_y_skip.
Trellis or facet plots are based on functions from the lattice package
where the axis tick labels are prone to overlapping and becoming
unreadable, nor does lattice automatically delete overlapping labels.
The default value of 0 directs to include all the axis tick labels. A
value of 1 indicate to skip every other label. A value of 2 indicates to
skip every second label, and so forth.
Plot(): For Trellis (facet) plots, any combination
of variables for parameters by, facet, and
facet2, result in the corresponding pivot or summary table
displayed at the R console. If the output is saved into an R object, the
name of the pivot table is out_ pivot for later reference.
Also, the pivot tables for the levels of each source separately are also
provided, named out_by, out_facet1, and
out_facet2 if present in the analysis.
Plot(): For the generated pivot table from Trellis
(facet) plots, the new parameter n_min_pivot specifies the
minimum sample size for a group for the corresponding row to be
displayed. The default value is zero for all rows to be
displayed.
Plot(): For Trellis (facet) plots with a
by variable plotting points with multiple colors in the
same box, the box color now is automatically modified with
transparency.
Plot(): Parameters fill,
color, and shape can now be named vectors.
That is, specify the categorical value from the by variable
that is assigned to the specific visual aesthetic. For example, for
by=Gender, `fill=c(M=“plum”, W=“green”).
Plot(): New parameter contour_points.
If TRUE, then plot the points in the scatterplot, the data
from which the contour curves are estimated.
Plot(): Parameter name vbs_size changed
to vbs_ratio to be more descriptive of its
meaning.
Plot(): For type="smooth", the
parameter name smooth_exp is changed to
smooth_power to more accurately described the underlying
transformation.
Plot(): For type="smooth", the smoothed
scatterplot now starts with a darker center.
Plot(): For two-variable Cleveland dot plot of
differences, the legend is now written in the right margin.
Plot(): For Trellis (facet) plots, when there is a
by variable, the outliers are now displayed in their
regular color for the by variable. Otherwise, displayed
them and red obscures their group.
Plot(): For box plots, unless grayscale, to provide
more emphasis fences are now drawn in darkred instead of
gray with a line width of 2 instead of 1.
Histogram(): When density is
TRUE, type is "normal" and
theme is gray, then the normal curve is now
filled with a transparent light gray instead of not having to fill
color.
Plot(): For Trellis (facet) plots, when there is a
by variable, the outliers now plot with a fill
color.
Plot(): For Trellis (facet) plots, when there is a
by variable, the legend title and legend text now respond
appropriately to adjustments to style() parameter
axis_cex.
Plot(): For box plots, including embedded in VBS
plots and Trellis (facet) plots, outlier labels now work when
out_cut is specified was a value greater than zero. Only
outlier points are labeled.
Plot(): For VBS plots as a single panel (not Trellis
or facet), statistical output at the console is now restored.
Plot(): For Trellis (facet) plots that are not VBS
plots with a by variable, the legend title and text now are
the correct sizes.
Plot(): For Trellis (facet) plots or VBS plots, that
is, use of the lattice package functions, saving PDFs now happens
directly instead of first needing the application to close.
Plot(): Contour plots now available. Older logical
parameter smooth for smoothed scatterplots now replaced
with parameter type, now can set to "smooth"
or "contour". Fit line and ellipse are also
available.
Plot(): Two new parameters:
contour_n specifies the number of levels or contours
for a specific contour plot. The default value is 10.contour_nbins: Specifies the number of bins constructed
for the and variables from which to form the 2D grid of estimated
densities.BarChart(), Histogram(),
Plot(): New parameters for formatting axis values, which
can be combined.
axis_fmt: default is K, which rounds
100000 to 100K, also can specify , for standard USA format
of numbers or . for the format used in many other parts of
the world.axis_x_pre: specify a prefix to add to each displayed
number on the x-axis, such as $.axis_y_pre: specify a prefix to add to each displayed
number on the y-axis, such as $.BarChart(), Histogram(),
Plot(): Parameter filter now works, in
addition to the existing logical selection, by specifying a vector of
integers that correspond to the row numbers of the input data frame to
be retained.
BarChart(): New parameter fill_scaled
by default sets the luminous (lightness) of each bar along a sequential
scale scaled according to the value of numerical y. Larger
values of y lead to darker colors. Only applies if
noby variable. Or, specify the color of the sequential
scale with parameter fill set to a single R color name, or
a divergent scale with parameter fill set to two R color
names.
BarChart(): New parameter fill_chroma
sets the saturation level of fill colors for parameter
fill_scaled. Default is full saturation 100. Values closer
to 0 lose saturation to he come closer to grayscale.
Correlation(): Parameter show_n dropped
and replaced with parameter show, which has a different
meaning. For a data frame, the default value is cor to
compute correlations. The other possible value is missing
to compute the missing data matrix for pair wise deletion or general
information for the other forms of deletion. No longer extract the
correlation matrix or the missing matrix from the output as a list
value, e.g., R <- mycor$R.
Correlation(): To be consistent with other lessR
functions, logical parameter pdf changed to
pdf_file, where the name of the PDF file is
specified.
corPrint(): New function to display a correlation
matrix in readable, compact form. Drop the 0. characters of
each correlation coefficient. For example, display 0.42 as 42. Parameter
min_value specifies the minimal magnitude for which to
display a correlation.
corReorder(): Do not write the output correlation
matrix to the console if new parameter quiet is
TRUE.
reshape_long(): New parameter shape
that when set to square transforms a symmetric, square
matrix such as a correlation or covariance matrix into a long-form data
frame.
reshape_wide(): No longer use quotes around the
variable names.
reshape_wide(): Change parameter name
group to the more descriptive widen, the
categorical variable for which the levels are displayed as
columns.
Histogram(): When a density rug in specified with
parameter rug, the tick marks that define the rug are now
longer with the entire density curved moved upwards to
accommodate.
pivot(): All categorical variables to define groups
over which to aggregate now should be specified as part of parameter
by. For example:
pivot(d, table, by=Dept).
pivot(): Parameter table_long now
defaults to TRUE.
Plot(): Parameters scale_x and
scale_y can now be specified with just two values, the
respective minimum and maximum values of the corresponding axis. If the
third value, the number of intervals on the axis, is not specified, the
default value is accepted.
Plot(): Parameter sort_yx renamed
sort, though the old name still works.
ttest(): Parameter pt_size added to
specify the size of plotted points for the dependent-groups t-test of
paired differences Cleveland dot plot.
BarChart(), Histogram(),
Plot(): Setting x as row_names
now works with parameter filter.
Histogram(): Vertical grid lines restored to the
histogram plot.
Plot(): Violin plot fill color now appropriately
reflects the underlying style from style().
Plot(): For facet plots with a by
variable, the legend text now scales according to the size of the text
of the axis values.
Plot(): add="labels" now working to use
row names by default to label the points in a scatter plot.
Plot(): Run chart, indicated by .Index
for the x-variable, now properly responds to the
color parameter set for the line color and point
border.
Plot(): ID parameter now working
correctly to identify the variable from which to label plotted
points.
ttest(): Visualization for the resulting density
plots now responsive to changes in axis and labels text per
style() function.
BarChart(): Parameter legend_abbrev
changed from default of no abbreviation to 10 characters for each line
of the legend.
BarChart(): The size of the legend title font is now
10% larger than the font for the legend items.
BarChart(): Parameter legend_abbrev
changed from default of no abbreviation to 10 characters for each line
of the legend.
BarChart(), PieChart(): Parameter
labels_decimal standardized across the two charting
functions, now defaults to 0 if only integer labels are to be displayed
or percentages, 0 if input values are to be displayed, and 2 for
proportions.
Read(): Added the .prn format for
“print”, a space-delimited text file, with each data value separated
from adjacent data values by one or more spaces.
Read(): Default missing value parameter
missing, which applies to text files, changed from
"" to a blank space, " " for .csv
and .tsv files and NA for .prn
files.
Read(): Reading data files in feather
or parquet format now returns an R data frame instead of a
tibble.
Plot(): For facet plots of a time series, the label
for the x-axis is deliberately not displayed, consistent with the
non-facet time series plots. The label is not needed with the
descriptive access labels provided, such as
Aug 2024.
Plot(): Scale the bubble size according to the power
of 0.55 by default for BPFM, bubble plot frequency matrix, which yields
a bubble plot of counts for one to the specified number of categorical
variables.
Plot(): For a BPFM, and a bit more space between the
axis-value labels and each axis.
Plot(): When plotting two x-variables
for individual rows of the data table, the differences between the
corresponding values row-by-row are now displayed.
Plot(): Parameter lab_adjust for
overwriting the default position of an axis label is now named the more
descriptive label_adjust.
Write(): Added parameters:
missing added to specify missing data value, with
default a blank space for .csv and .tsv files
and NA for .prn files.dec added to specify the character for the decimal
point, defaults to a period.sep added to define the character that separates
adjacent data values, which defaults to the character consistent with
the corresponding file type.quote added to specify if character data values should
be quoted. Extending the Base R function write.table(), the
default value is if_needed so that character strings that
consist of a single word with no spaces, tabs, and related are not
quoted because the quotes are not needed, simplifying the output
file.readNames parameter added to
write_ods internal call for ODS files.Write(): Added formats:
.prn “print” or space-delimited text file.tsv tab delimited text files..txt the new default, permits the user to specify the
sep parameter (as well as dec) to provide a
more flexible write format, which respectively default to "
and ".", that is, standard North American csv
format.Write(): Required to specify either the file type or
the format. The following two statements are equivalent:
Write(d, "GoodData.xlsx") and
Write(d, "GoodData", format="Excel").
Write(d, "GoodData") defaults to GoodData.csv
and Write(d) defaults to d.csv.
Write(): For consistency with Read(),
parameter rowNames change to
row_names.
Write(): Row names are now preserved for
.feather, parquet, and .sav files
where otherwise these formats loose the row names when the data file is
written. The strategy is to move the real names into a variable in the
first column named RowName. Also, when read back into R
with Read(), if the first column has that name, then it is
shifted into the row names.
Plot(): A minor issue, but when plotting a line
chart for multiple levels of a categorical variable, the legend
displayed the levels as points instead of lines. Now lines are
displayed.
Plot(): With a by variable, the
shape specification shape="vary" to
automatically vary the shape of the point for each group did not display
the additional shapes in the legend. Now all shapes are properly
displayed.
Plot(): For some two-dimensional scatter plots with
a fit line, the axes did not accommodate the full fit line. Now they are
expanded to do so.
Plot(): When plotting a BPFM, bubble plot frequency
matrix, which yields a bubble plot of counts for one to the specified
number of categorical variables, the text plotted in each bubble could
not be changed in size. Now the labels_size properly
provides that control.
Plot(): When the x-axis variable was
sorted with equal intervals between adjacent points, sometimes neither
points nor connecting line segments plotted by default, so needed to
manually set the size parameter for the size of the plotted
points or line_width for the width of the plot line
segments. Now fixed.
BarChart(), Histogram(),
Plot() for facet plots: Axis tick lengths are now smaller,
to match the lengths for non-facet Plot()
visualizations.
Plot(): Parameter lwd renamed
line_width. Parameter ts_PIlevel renamed
ts_PI.
PieChart(): Parameter lwd renamed
line_width. Parameter lty renamed
line_type.
Plot(): To jitter either axis coordinate, set to a
specific value of jitter_x and/or jitter_y or
have the value set by Plot(), indicated by setting the
corresponding jitter parameter to NULL. Applying jitter to
both the x-axis and y-axis was by design
occurring by default for all analyses, probably too aggressive. Now, the
default values for a scatterplot of continuous variables is 0. For
discrete variables or a VBS plot (violin-box-scatter plot), different
formulas provide default jitter values greater than 0, easily overridden
by providing specific values.
Plot(): For non-linear values of parameter
fit, now provide the MSE of the model fit to the original,
non-linear data. Can compare this MSE to that of the linear model by
running another analysis, setting fit to
"lm".
Plot(): New parameter fit_new to
provide values of the x-variable from which to compute
(predict) values of the y-variable for linear and
non-linear forms specified by the fit parameter, except for
"loess".
Plot(): As with origin_y from the
previous lessR version, the default value of
origin_x favors 0 if there is not too much resulting blank
space in the corresponding visualization. Or, manually specify the
desired parameter value.
Plot(): For Trellis (facet) plots, axis values in
the even hundred thousands are now expressed in K notation,
such as 100K instead of 100000, a feature previously added to non-facet
plots.
Regression(): The criteria for plotting points as
bubbles for a single predictor model was deemed too encompassing. The
new criteria are to plot as bubbles by default only when the single
predictive variable and the target variable have less than or equal to
12 unique values. Boolean parameter bubble_plot added to
override default for displaying the scatterplot of the one predictor
variable with the target variable as a bubble plot.
Regression(): Parameter size added to
override default for the size of plotted points.
Histogram(): Axis labels were written too far from the
corresponding tick marks.
Plot(): A one-variable categorical variable coded as a
factor can now be plotted as a bubble plot. If the categorical variable
is numerical, add a value of the radius parameter to force
as a bubble plot instead of a VBS plot.
style(): Transparency now properly recognized with
add_fill colors with specified transparency from
add_trans parameter.
style(): Default fill for a superimposed rectangle on a
visualization with style(add="rect") changed to light gray
with light transparency to allow content within the rectangle to be
viewed, "#D9D9D920".
Plot(): New parameter ts_method to specify
the estimation method for generating a forecast. The default is
"es" for exponential smoothing, the only available previous
method. Can now also implement "lm" for least squares
linear regression model with seasonality, which de-seasonalizes the data
and then adds seasonality back to the estimated regression line.Plot(): To generalize parameter names for multiple
estimation methods, all parameters that began with time_
and es_ now begin with ts_. For example,
time_unit is now ts_unit, and
es_seasons becomes ts_seasons.
Plot(): New parameter value days7 for
ts_unit. All other time units are based on the 365 or 366
day year, the interval over which seasons are assessed. Seasonality for
days is not generally meaningful assessed over the entire
year but can be for days of the week. The time unit of
days7 assesses seasonality of days over the 7-day week,
such as, for example, more sales on Monday than on Sunday.
Plot(): New parameter origin_y to set
the minimum value of the y axis, though the data will not
be truncated if the value is larger than the smallest y
value, instead triggering an error. This parameter compliments existing
parameters origin_x, and also scale_y, which
sets the minimum, maximum, and interval for scaling the y
axis. Its value is set to 0 by default in relevant situations.
Plot(): New parameter ts_NA to specify
treatment of missing values for the y-variable. By default,
y missing values, those with value NA, do not
plot, leaving a blank space. Or, specify a value such as 0 to replace
the NA to plot that y-value for the
corresponding date on the x-axis.
STL(): Output data structure provided that consists
of four variables: date according to the named date variable and the
extracted trend, season, and error components. Example: s <- STL(Qtr,
Sales) outputs to the data frame s.
pivot(): When computing a cross-tab table, if the
first variable was a factor the analysis would crash. Now
fixed.
Plot(): When plotting a time series, x-axis tic
lengths and the margin for value labels is refined.
Plot(): Refined the extraction of the date variable
and the y variable from a time series used in internal
processing, such as identifying leap years to provide more generally
accurate dates.
Plot(): When plotting a time series with multiple
y values, the y-axis label now properly
displays.
Plot(): When plotting a stacked time series, the
vertical legend now displays with the proper colors and in the same
order as the display of the stacked variables.
Plot(): If plotting daily data with a time unit of
"weeks", then dates are plotted as individual dates by days
instead of months.
Plot(): If plotting a y categorical
variable and an x continuous variable, the number of
decimal digits for the displayed statistics is now based on the decimal
digits inherent in the continuous variable instead of set at 1.
Plot(): For a time series exponential smoothing
forecast, now display SSE and MSE fit indices, the linear trend and
seasonal coefficients, and the obtained smoothing parameter
values.
Plot(): Improved conversion of character string
numeric dates to R type Date.
Plot(): Read dates entered as character strings
formatted as:
Plot(): Forecasting output now written to an output
list object such as p <- Plot(...) with names out_frcst,
out_fitted, out_coefs, and out_params. This output is accessible for
showing just part of the output, such as p$out_frcst when
writing R Markdown documents from the results.
STL(): Set parameter show_range to
TRUE to show the range of each component. Before
TRUE was the default.
STL(): Parameter quiet added to
suppress text output and parameter do_plot added to
suppress the visualization.
Plot(): Exponential smoothing of multiplicative
models now working, indicated by
es_type="multiplicative".
Plot(): Can set style(suggest=FALSE)
for a time series plot.
Plot(): If missing data for a run chart, a proper
error message is now displayed if attempting to show the runs, for which
missing data does not work.
Plot(): Turn off the plot with
do_plot=FALSE, leaving only text output, now
works.
Plot(): If plotting a run chart with multiple
y variables, adjacent points are now connected with line
segments for each of the y variables. Example:
Plot(.Index, c(y1,y2,y3)).
Plot(): Exponential smoothing forecasting
implemented with accompanying visualization. New parameters include
time_ahead for the number of time_units to
forecast into the future, and time_format to provide a
specific format for the date variable if not detected correctly by
default. Control aspects of the exponential smoothing estimation and
prediction algorithms with parameters es_level (alpha),
es_trend (beta), es_seasons (gamma),
es_type for additive or multiplicative seasonality, and
es_PIlevel for the level of the prediction
intervals.
Plot(): Character string versions of a date as in a
variety of forms as digits, such as “08/18/2024”, are now by default
converted to variable type of Date. However, this
conversion is inherently ambiguous, so the time_format
parameter is provided as a means to provide the precise format if
needed, including other formats such as “August 18, 2024”. Also, a
sequence of four-digit integers within the usual range of dates will
also convert automatically to a variable of type `Dates.
STL(): A wrapper for Base R stl() that
provides additional information and utility:
Date as the x-variable and the time series
values as the y-variable instead of an R time series.Date.BarChart(), Histogram(),
Plot(): If the x- or y- axis
values in the resulting plots all end in 000, then the 000 is replaced
with a K, such as 120000 plotted as an axis value of
120K.
LineChart(): Deprecated for years, now removed as
its functionality has been incorporated into Plot() and
extended with the x-variable of type
Date.
Plot(): Parameter run dropped. Instead,
to maintain the position of the variable of interest to be plotted, as
the y-variable, indicate a run chart by specifying
.Index as the x-variable, that is, the first
variable listed. That name, beginning with a period, .,
indicates data values for the variable Will be created
automatically.
Plot(): Increase the default size of the dot in the
Cleveland dot plot and related.
Plot(): When parameter time_unit is
explicitly set, proper dates are now displayed on the x-axis when there
is a by variable.
Plot(): Suggestions are working. To turn off:
style(suggest=FALSE).
BarChart(), Histogram(),
Plot(): Parameter names by1 and, where
applicable, by2, deprecated, replaced with more descriptive
new names facet1 and facet2.
Plot(): Using functions from the xts package, when
plotting a time series dates are now formatted according to their
natural unit. For example, when plotting by years, just years are listed
without the month and the day.
Plot(): When plotting a times series and requesting
a level of time aggregation with the time_unit parameter
that is more detailed than the available data, the analysis
appropriately terminates with an error message. For example, if the time
series data is monthly and an aggregation of weeks is
requested, no analysis is done.
Plot(): For plotting time series data, new parameter
n_date_ticks added to override the default number of ticks
on the x axis, the date axis.
Plot(): For Trellis (facet or lattice) plots of bar
charts and histograms, each panel is labeled with the proper size of
text in the corresponding panel strip.vignettes: These extensive examples are moved to the
web to save space as the installed lessR was exceeding the accepted
maximum limit. The web address is given from
library(lessR).
BarChart(): When doing a composite plot, if calling
fill=getColors(...) for a divergent palette, such as for
one bar for all items on an attitude survey, no longer need to
explicitly add n= for the number of levels.
getColors(): Added three pre-defined palettes from
the colorpace package: rainbow_hcl,
terrain_hcl, and heat_hcl, e.g.,
getColors("rainbow_hcl").
getColors(): Adjusted the margins to better fit the
plot window when the color wheel or rectangle is displayed.
getColors(): Default Tableau qualitative palette
added as a name to recognize and translate to the colors, also for
visualization functions, such as fill="Tableau".
Plot(): New parameter time_unit for
when the x-variable is a Date variable and a time series is
plotted with automatic aggregation of the time unit according to the
specified value, such as "years" plotted from daily
dates.
Plot(): New parameter time_agg for when
the x-variable is a Date variable and a time series is
plotted with automatic aggregation to specify the type of aggregation
with "sum" the default.
Plot(): Pearson correlation analysis no longer
displayed if the x-variable is a date, that is, if a time series is
plotted.
all visualizations: Grid lines not affected in some
plots that would add some unintended transparency to the
visualizations.
PieChart(): User now warned that the
values family of parameters is changed to
labels, though the old reference still will work.
Read(): If quiet=TRUE, automatically
modified variable names to legal R names are not reported.
all visualizations: Default colors softened a bit
with default transparency level moved from 0 to
0.10.
ANOVA(), BarChart(),
Histogram(), PieChart(), pivot(),
Plot(), Regression(), ttest():
Parameter rows, for subsetting data, deprecated, now named
filter to be more consistent with other systems, although
rows parameter removed entirely for ANOVA(),
pivot(),
Regression(), andttest()to avoid needing therowsparameter as part of the function definition in addition tofilter`.
BarChart(), Histogram(),
PieChart(), Plot(): Parameter
filter (formerly rows), now reports the number
of rows of data before and after the filtering along with the logical
statement that defines the filter.
BarChart(): Default family of values
parameters now called labels, such as
labels_color, to be more consistent with other
systems.
BarChart(): values_digits now
labels_decimals though old value still works.
BarChart(): Default labels (formerly
values) that are labeled on each bar now set at
input except when aggregating counts, where it remains at
%.
BarChart(): When labels is set to
input, default decimal digits is now 2, which can be
customized with labels_digits.
BarChart(): Default labels (formerly
values) that are labeled on each bar now set at
input except when aggregating counts, where it remains at
%.
Plot(): Parameter area_fill on time
series plots now extends down to the level of the y-variable specified
with scale_y instead of the minimum value of y.
Plot(): Binning large data sets now results in
larger bubbles.
dataStockPrice: Data table updated with stock prices
through May 2024, and trading volume added as the fourth
variable.
BarChart(): For an unstacked or grouped bar chart,
beside=TRUE, if there is missing data for the
by variable, the color distribution across the bars is now
consistent across levels and with the legend.
BarChart(): For two categorical variables,
x and by, evaluation if input data is a
summary (pivot) table of a prior aggregation is now correctly
computed.
interact(): User-written functions are able to again
use BarChart(), Histogram(),
PieChart(), and Plot().
pivot(): Output variable names now consistently
labeled: variable_stat, e.g., Salary_mean.
Plot(): Shapes now properly plot with a
by parameter stratifying according to the specified
categorical variable.
Plot(): by1 parameter for Trellis
(facet) plot with fit line specified now properly does not
display text output when quiet=TRUE.
reshape_wide(): After the transformation, all other
variables except those specified as the group, response, or ID are
deleted as their values are not evenly distributed over the new wide
format variables.
pivot(): Fixed a bug on the output. The results were
correct but not formatted correctly.BarChart(): Parameter stat_x added to
specify how to plot the y-axis if there is no
y variable specified, with default value of
counts and option proportion or
%. These values are separated from the stat
parameter which now exclusively pertains to the transformation of a
specified y numerical variable.
BarChart(), Histogram(),
Plot(): Parameters lab_adj,
margin_adj, and legend_adj renamed for clarity
to lab_adjust, margin_adjust, and
legend_adjust.
pivot(): When pivot table is of counts, using
function table, the values of n and
na are now listed last in the resulting pivot
table.
Plot(): shape parameter default for
multiple groups according to parameter by returns to
"circle" with the new shape value
"vary" if desired to retain a sequence of default shapes
across the different groups.
Plot(): fit parameter now set only to
the values that it can analyze such as lm, so no longer can
be set to TRUE or FALSE.
Read() and Write(): Support the modern,
fast, and efficient data file formats from the arrow
package, feather and parquet.
details(): Shows the proportion of all missing data
values in addition to the total, and displays each row of data with
missing data, also obtained with Read() when
brief=FALSE.
details(): miss_zero parameter
removed.
rename(): Parameter to can now specify
a vector of names to change, with the corresponding from
vector of new names.
BarChart(): If a numerical y variable is specified
for analysis of the original,raw data, then if a value of the
stat parameter is not specified its value now defaults to
"mean".
Plot(): If a time series is plotted from a x-axis
variable that is not of type Date, then, setting
segments=TRUE connects the points (which can vanish if
size=0), but the line width parameter lwd was
previously not responsive in this context.
Logit(), Regression(): For categorical predictor
variables, the conversion to indicator variables now happens before the
analysis. All analyses are now only of numeric variables so that the
correlation matrix, scatterplot matrix, tolerance, and best subset
analyses are now conducted for categorical predictor variables.
Logit(), Regression(): Redundant predictor variables
that lead to a singularity is now detected and noted instead of the
function crashing.
Logit(): For sigmoid function plot for a single
predictor model, right-hand margin adjusted to better display labels of
the target variable of varying lengths.
Regression(): For the model fit section, the
displayed standard deviation of the response variable is now computed
from the same data from which the model was estimated, which can differ
depending on missing data.
BarChart(): Missing data is now permitted for the
numerical or y variable.
pivot(): Aggregated variables are named the original
name of the aggregated variable concatenated with an underscore and the
name of the operation.
Plot(): For plots of two or more variables, the
right-margin legend is displayed with a smaller font size and centered
more effectively.
prob_norm(): Function terminates if value of
lo is greater than hi instead of returning a
meaningless result.
getColors(): Default for parameter
output is TRUE only for a direct call from the
console. If embedded in a function call such as for the
fill parameter, or even if directly called in R Markdown,
then set output=TRUE to view the calculated.
palette
BarChart(): Parameter theme now
works.
getColors(): Now can be called directly in R
Markdown documents though specify output=TRUE for output to
be displayed.
pivot(): Parameter out_names now works
if the assigned name for a single variable analysis contains the name of
the variable analyzed from the input data frame.
Plot(): For stacked time series plots, default for
size of points is now 0.
Plot(): For lattice plots, if there is only a single
point to plot in a panel, just the point is plotted instead of also
attempting to plot a violin and a box plot, which necessarily
fails.
Plot(): Variable and axis value labels increased in size
for R Markdown and R by itself analyses.
ANOVA(), BarChart(),
Histogram(), Plot(),
Regression(), ttest(): A tibble that is not in
the user workspace, instead in a package, is now properly converted to a
standard R data frame upon which the internal function’s code depends,
which also permits more flexibility in the packaging of data in general
to these functions, such as with the pipe operator.
ANOVA(): Overall p-value now available for the
one-way ANOVA as the statistic in an output object, called
p_value, such as output object a$p_value in
a <- ANOVA( ... ).
getColors(): To address color blindness, the
Okabe-Ito color palette was added, and available as a
fill parameter in Plot() and
BarChart().
interact(): To address color blindness, the
viridis and Okabe-Ito were added as
qualitative palettes, such as for the bars of a bar chart.
sort_by(): New name for the Sort()
function, now deprecated, to maintain consistency of lower-case
functions being utility functions.
Plot(): For Trellis plots, indicated with
by1 and by2 parameters, assessment of
replications of unique values is done only if 1000 or fewer unique
values to save both space and compute time for information that is not
of such value anyhow.
Plot(): For a run chart, parameter
run=TRUE, the successive points in the plot are now by
default joined with line segments, which can be stopped by setting
parameter segments=FALSE.
Plot(): Parameters lab_cex and
axis_cex for size of value labels and axis labels, scaled
smaller for visualizations in R run alone, without RStudio.
Plot(): To address color blindness, when there is a
by grouping, default is now to not only vary the fill color
but also the shape of the plotted points.
Regression(): Parameter mod for
moderation analysis in a two-predictor model added.
ttest(): Parameter quiet added to turn
off text display at the console if set to TRUE.
order_by(): Old function name was
sort_by(). However, Base R now has a function with that
name, so to avoid confusion, the lessR function was renamed
to order_by().
ANOVA(): One-way ANOVA with parameter
graphics=FALSE now works.
BarChart(), Plot(): Qualitative color
palette hues was the default for the default color theme,
colors, but now also works explicitly when specified as the
value for the fill parameter.
BarChart(): Now works for color
parameter specified as a vector.
interact(): Interactive analyses resets label and
axis plot sizes to larger, now set back when saving the pdf and also
when re-plotting.
PieChart(): Suggestions for alternative analyses had
wrong lowercase expression piechart() instead of
PieChart().
Plot(): With a linear fit line, b0 and b1 now
reflect the specified number of digits according to parameter
digits_d.
Plot(): For plotting a continuous and a categorical
variable scatterplot, when listing the continuous variable first, the
name of the categorical variable is now listed in the title of the text
output.
Plot(): For a run chart with parameter
run=TRUE, parameter scale_x now properly
allows for a custom set of ticks for the Index on the
x-axis.
Histogram(), Plot(),
Correlation(), ttest(): Vastly speeded up for
data sets much over 500 data values, substantial improvement on large
data sets.Plot(): Parameters jitter_x and
jitter_y are reset for the scatterplot (not VBS plot) to
explicitly set the amount of jitter within the negative and positive
values of their assigned values, or, set to NULL to
activate the default value of the range of the variable divided by
50.
Plot(): Text output for Mahalanobis distance more
nicely formatted.
interact(): Reading of text files was not detecting
blank data values for variables of type character as
missing, which now it does.
interact(): Various revisions of the interface
styles and efficiency increases.
interact(): A Help option added for
each analysis, which, when clicked, displays a web page of explanation
of the analysis and listing and definition of each presented
parameter.
interact("BarChart"): Numerical y
variable and associated stat parameter added for analysis
of means and related statistics across the levels of the categorical
variable x.
interact("BarChart"): The summary table of each
category level paired with a number, to translate into bar height, can
now be read as the input data table.
`interact(“Plot”): ID lableing of outliers added.
pivot(): For a single variable to
process, the variable name no longer repeated for each column of the
output, one column per statistic computed.
BarChart(): When plotting a statistics for a
numerical variable, y, the plotted values are now displayed
at the console with sufficient width.
interact("ScatterPlot"): Parameter
enhance now works.
interact("ScatterPlot"): Choose parameter
enhance then parameter by now works.
interact("ScatterPlot"): Parameters by
and size now work together and properly written to the R
code file.
interact("Trellis"): Single VBS now plotted without
a by1 variable for Trellis plots per se.
Regression(): For parameter Rmd,
collinearity issue fixed.
ref_group for Logit(), new, more
explanatory name for ref, the level of the binary target
variable explicitly defined as the reference group instead of relying on
the default.
train_test() has new parameter
matrix_out which outputs the data structures as matrices
instead of as data frames.
Regression(): For automatically generating and
processing R markdown files, users can now 100% customize the output
directly by creating their own input files, just one or all eight of the
files.
Regression(): Added parameters
Rmd_custom to specify one or more custom input files and
Rmd_dir to specify a custom directory where the files are
stored.
Regression(): For output, vars
component added that is a vector of the variable names in the model
beginning with the response variable.
Regression(): Parameters res_rows and
pred_rows changed to the more descriptive
n_res_rows and n_pred_rows.
interact("Histogram"): The bandwidth
slider for the density option now re-adjusts if a new
variable is selected from the same data set.
interact("Plot"): Points now plotted
properly.
interact("Plot"): Fill color properly set if a
by variable is selected.
Plot(): Transparency (trans parameter) now works
when size as a variable and by are activated.
Plot(): for a fit function, mse now
properly computed.
recode(): Entire data frame now not written to the
console.
Regression(): Text enlarged for scatterplot
matrix.
Regression(): Number of allowable terms in the model
definition now greatly expanded.
Regression(): When generating a markdown file with
parameter Rmd, if reading a label file included with
lessR, the correct data file is now properly listed instead
of the label file.
interact(): lessR data analysis is now interactive,
with each interactive analysis now displayed for analyzing the user’s
own data, which also includes summary statistics as output with the
option to save the plot to a pdf file plus the corresponding R
code.BarChart(): Parameter do_plot added for
the option of computing summary statistics but not plotting.
Histogram(): Underlying algorithm more
efficient.
Histogram(..., density=TRUE): fill_gen
and color_gen revised to fill_general
andcolor_general, and fill_nrm and
color_nrm to fill_normal and
color_normal though the old names still accepted, as with
bandwidth in place of bw and
include_histogram in place of
dn.hist.
Histogram(): for density curve, provided values for
fill_general and fill_normal that are color
names now are converted to the same transparency level as their default
colors.
PieChart(): value labels now separated from the
category label so that size can be set independently.
pivot(): Long labels now abbreviated to stay within
column widths.
Plot(): For numbers < 10000, more decimal digits
for stat outcomes of fit parameter, such as MSE.
Plot(): With a by variable a named,
sequential color range such as “reds” can now be specified in addition
to the qualitative range of “hues”.
tt.brief() removed, long since replaced by
tt_brief().
loading lessR: Now lessR loads properly if another
previously loaded package had loaded shiny.
Histogram(): Returns in list structure, such as
h, saved output from
h <- Histogram(...).
Histogram(): When bin_start was < 0
the number of displayed digits for the mid point of each bin could be
excessive, now fixed.
Histogram(): spelling error of out_suggewt to
out_suggest fixed for output name.s
pivot(): When constructing a table (instead of a
dataframe), NA’s now properly displayed.
Plot(): Restored title that indicates scaling of
bubble plot.
Plot(): Transparency on bubble plots now
works.
Read2(): Now works properly.
BoxPlot(), Histogram(): Recent message
from outlier check from package robustbase
removed.
Logit(): Confusion matrix now displayed even if all
predictions are for a single outcome category.
pivot(): If not specified, output defaults to 3
decimal digits, otherwise displays the needed number of decimal digits
to avoid rounding to 0.000.
pivot(): For consistency, parameter
n_show_group changed to n_group_show.
Plot(): New parameter n_bins > 1
indicates to bin the numeric x-variable and plot the mean or median of
the numeric y-variable for each bin, with each point size dependent on
the corresponding bin sample size.
Plot(): More stats displayed regarding each panel
when doing a fit line.
Read(): Browsing for data file in RStudio, message
about hidden window removed.
pivot(): If na_remove is
FALSE, the missing data value for the aggregated statistic
was reported as 0 instead of NA.
Plot(): y-axis label now evaluated on all axis
values instead of only the maximum value, which, if 1.0, rounds to 1,
only a single digit.
Plot(): segments=TRUE now applies to
all scatter plots, not just with by=.
interact(): Each interactive display now shows the
underlying function call.
Plot(): If x is equally spaced, a line
chart not default if a fit line.
Plot(): Parameter sqrt deprecated for
quat.
Plot(): Parameter root deprecated for
power.
Plot(): fit_color parameter added to
set directly, not just with style() function.
Plot(): When curve fitting with fit
parameter, b0 and b1 given for the linearized
line from nonlinear functions.
Prop_test(): If the hypothesis test of a proportion
is one-sided, the alternative hypothesis is now
provided.
Histogram(): density=TRUE properly
generates console output.
Plot(): For fit parameter,
"reciprocal" option removed as better covered with
"exp" which also does exponential decay in place of
"reciprocal" if no by variable.
Plot(): fit_color now works for a
fit line.
Prop_test(): parameters such as
alternative properly passed to R functions
binom.test(), prop.test(), and
chisq.test().
ttest(): One-tailed alternatives less
and greater options work.
ANOVA(): One-way, scatterplot labels separated more
from plot
Histogram(): Summary stats headings adjusted to
better align with numerical values
Prop_test(): Parameter p0 changed to
pi for consistency with ttest(),
p0 still works
reshape_long(): Default name of
Response changed from "Value" to
"Response"
style(): Slightly lighten grayscale bars and points
from "gray35" to "gray42" and point
fill and color from "gray30" to
"gray42"
train_test(): New function to either create training
and testing data from a data frame with x and
y combined or separated
Plot(): a --run-donttest test example was
improperly configured, now worksPlot(): Plotting a vector for x or
y with fit now worksANOVA(): Interaction plot for 2-way factorial
reflects color theme
BarChart(): Appropriate error message if
by and by1 parameters both specified as only
one for one function call is allowed
BarChart(): Bar chart from a pivot table for two
vars now possible with NA column
data set: dataAnova_rbf data set for
randomized block factorial ANOVA added
data set: dataAnova_sp data set for
split-plot design ANOVA added
interact(): More colors added
interact(): Trellis plot has added
violin_fill and box_fill parameters
pivot(): by variables except for
Date variables by default now converted to factors, though
controlled with parameter: factors
reshape_long(): If needed, an ID variable is now
provided by default
reshape_long(): Generated ID variable
now has a prefix in front of the integer ID by default, can be changed
with the parameter: prefix
reshape_long(): sep parameter specifies
a separator between the prefix and the ID integer output data frame has
ID variable listed first
Transform(): Previously deprecated, its abbreviation
trans() now removed
details(): Now properly reports details of a
tibble version of a data frame
interact(): Histogram()
fill now set properly
Plot(): Panels in Trellis plots with no data now
properly display as blank with grid lines instead of showing an error
message
Plot(): Interaction plot with
segments=TRUE of a pivot table now has all
segments
Plot(): Can now plot one continuous variable with
violin/box/scatter plots with by, by1, and
by2 parameters
Plot(): Bubble plot transparency option now works
with parameter trans
Plot(): Bubble plot fill and
color now properly specified
ANOVA(): ANOVA 2-way factorial analysis provides
Type II sum of squares for unbalanced designs
ANOVA(): R-squared and related indices now reported
to three decimal digits
ANOVA(): Plotted point in interaction plot a little
smaller
ANOVA(): Scatterplot title removed for more room for
the plot, labels adjusted
ANOVA(): Scatterplot moved to the first plot
displayed
BarChart(): Right-margin legend for two variable
chart no longer defaults to abbreviations for title and values, use
legend_abbrev to specify
Histogram(): Bars slightly more gray and slightly
less blue
Plot(): For by and fit
parameters together, equation, MSE, and R2 given for each fit
line
Regression(): Analysis of covariance with one
categorical variable and one continuous variable displays the ….
regression line and equation for each level of the categorical variable
superimposed over the scatterplot. Type II SS for the ANOVA table. test
of the interaction of the covariate with the grouping variable
Regression(): n_cat parameter added to
allow integer variables to be treated as categorical without declaring
as a formal R factor
Regression(): kfold parameter now
applies to models with categorical variables with dummy variables
created automatically
Regression(): Extra line of spacing between major
sections of output
Regression(): Grid lines added to
scatterplot
Regression(): title removed from scatterplot,
remains in text console output
Regression(): Parameter best_sub
provides the value "Cp" for Mallow’s "Cp"
statistic in addition to the default value "adjr2" for
adjusted R-squared
rename(): New utility function for renaming a
variable in the specified data frame
ANOVA(): Interaction plot for 2-way factorial
generalizes better beyond two levels brief output works more reliably
for 2-way factorial
Regression(): scale_response parameter
now works, applicable when new_scale is implemented,
FALSE by default but if TRUE then the response
variable y is also rescaled
ANOVA(): Better calculation of size of left-margin
for pairwise mean differences plot
Logit(): For a single predictor, for a given
probability classification threshold, the x-cutoff value
now provided
Logit(): For a single predictor, annotations added
to the sigmoid curve
Logit(): ref parameter for designating
the value of the response variable that is the reference group instead
of relying upon defaults
Logit(): Rows in the classification table reversed
to correspond to sigmoid curve plot
pivot(): For consistency with other na
parameters, show_group_na parameter changed to
na_show_group
Plot(): Boxplot median line width increased to 2 for
better visibility in the presence of an embedded scatterplot
Logit(): Bug fixed that occurred for 50% of the
analyses when the response variable has integer input values of 0,1
instead of a factor such as Man/Woman
Logit(): Fitted values now properly displayed when
X1_new, etc. specified
Logit(): Edge condition that crashed with very
little variance among fitted probabilities now fixed
Plot(): by1 parameter now works when
x is categorical
Regression(): Table of estimates now properly
displayed for indicator variables with large number of characters for
the variable names
BarChart(): digits_d parameter added
for text output to control number of decimal digits for two categorical
variable output
BarChart(): Default gray fill color for the bars
lightened slightly
data(): dataStockPrice updated to Jan
1, 2022 dataEmployee_lbl updated
dataWeightLoss data file added dataAnova_1way
data file added dataAnova_rb data file added
dataAnova_2way data file added
factors(): Now processes tidyverse
tibble version of a data frame
Help(): Deprecated, now removed, replaced by
vignettes
interact(): When prompting for valid names by
passing no arguments, no longer displays an error message
interact(): More colors added to choice of fill
colors for interactive displays
Logit(): For a single predictor variable, if the
response y is non-numeric, then the value set at 1 has the
highest mean, for a positive difference
Logit(): For a single predictor variable, logistic
curve better labeled
Nest(): If response variable is a character
variable, automatically converted to a factor to allow to
run without an error
Plot(): For Trellis plots, default changed to a
single column (n_col=1)
Read(): If specified a lessR data file
improperly, the list of valid data files is displayed
Read(): Read data files in the Open Document
Spreadsheet format, .ods
Read(): New parameter row_names for consistent
interface across the various file formats, for cs files R
row.names still works
Read(): Report of variables with all unique values
moved to brief report
Regression(): If x is a factor with two
levels, the regression line is plotted in the scatterplot
Regression(): Scatterplot can now have customized
axis labels size, set by style()
reshape_long(): New function that is a simple
wrapper for Base R reshape() with sensible parameter names
and sensible defaults, and allow for variable ranges of columns to
transfer from wide to long
reshape_wide(): New function that is a simple
wrapper for Base R reshape() with sensible parameter names
to convert a long-form data frame to a wide-form
Write(): Parameters – data and
to – switched to a more natural order with
data now the first parameter:
Write(data=, to=, ...)
Write(): Write data frames in the Open Document
Spreadsheet format, .ods, with
format="ODS"
Write(): Write data frames in the SPSS format,
.sav, with format="SPSS"
ANOVA(): Family-wise confidence level now reported
in output
BarChart(): Formatting so that columns do not run
together for some output with integers represented as integers instead
of double
BarChart(): Specifying one_plot=TRUE
and multiple variables now works
BarChart(): Custom ylab now works when
the stat parameter is activated
Histogram(): For density=TRUE,
quiet=TRUE now works
Logit(): If many variables, such as from created
dummy variables, columns of estimated coefficients now align
correctly
PieChart(): Text now responds to corresponding style
parameters: lab_cex, main_cex=1.5, and
values_size
Plot(): If a by or by1
variable, misleading warning message sort order deleted
ANOVA(), BarChart(),
Histogram(), pivot(), Plot(),
Regression(), ttest(): Informative error
message added if a subset with the rows parameter returns no rows to
subset
getColors(): Little more differentiation between
default sequential colors by lightening a bit more the lightest
color
Histogram(): Output objects n.bins and
n.miss updated to n_bins and n_miss
Histogram(): density=TRUE output
provides more summary statistics and suggestions
Plot(): When specifying a fit line with a by
categorical variable the sum of squared errors for each category are
better labeled
Plot(): For a by categorical variable,
no longer is the correlational analysis done for all the data, but the
SSE is reported for each group
Plot(): Pairwise correlation output takes up fewer
lines
Plot(): Variable labels for y-axis made
a little longer and still fit without breaking into an additional
line
Plot(): Some suggestions now change depending on
random “coin flip”
Plot(): Trellis plot default changed from
n_col=1 to n_row=1
Regression(): Standard deviation of response
variable added to fit information, other stats removed
Regression(): Parameter fit_line width
set at 1.5 if plotting w/o outlier line also and no standard error
region for original line
to(): Parameter same.size updated to
same_size, old value still works
BarChart(): For theme other than
"hues", fill colors the same by default unless
an ordered factor, then a sequential palette
Correlation(): Pairwise correlation analysis
properly returns lower and upper bounds of confidence interval about the
sample correlation coefficient
Correlation(): Pairwise correlation when called from
Correlation() function works
PieChart(): Default colors with default color theme,
"colors", now has qualitative color palette
"hues", the same as bar chart, for a non-ordinal
categorical variable
PieChart(): Inner circle that creates the hole now
with higher resolution so as to make a smoother circle
PieChart(): Better placement of the plot title if
there is one
ANOVA(): Randomized blocks fitted means
visualizations enhanced
ANOVA(): rb_points parameter
removed
Histogram(): For grayscale with a black background,
histogram bars have no transparency and are lighter
interact(): "PieChart" option added for
interactive, Shiny display
Logit(): Grid lines added to logit plot for a single
predictor transparency of 0.7 added to the points in the logit
plot
pivot(): If n=0 for an output row or
column, then converting to proportions returns 0’s instead of
NaN’s
pivot(): New parameter show_group_na
with default of TRUE that will list NA for
missing data of a grouping variable as a level on the output
PieChart(): Labels proper size outside of
RStudio
Plot(): plot_errors now plots the
connecting segments from each point to the fitted line with gray if
style("gray")
Plot(): Parameter size for size of
points now applies to a scatterplot matrix
Plot(): fill color for points and
bubbles lightened slightly for gray scale
Plot(): Trellis line plots increase slightly the
width of the lines
recode(): Transformed variables converted to be
consistent with their type ex: convert a character variable
to integer, but before was still
character
Regression(): For parameter new_scale,
new option is "centered"
Regression(): For all rescaling, now default is only
predictor numeric variables and only for numerical variables with more
than two values
Regression(): If rescaling, set new parameter
rescale_response to TRUE to also rescale the
response variable
Regression(): For model fit, standard deviation and
min and max of the target variable displayed along with the 95% range of
variation of the residuals, with values displayed with commas for large
numbers
Regression(): Fitted vs residuals plot more
efficiently sized and largest Cooks Distance value displayed as a
sub-title
Regression(): Summary stats of response variable
added to Basic Analysis
Sort(): Feedback includes names of sorted variables
in place of their index
ttest(): For one group t-test, density curve now has
dark gray border and value of smd added to the top text display over the
visualization
ANOVA(): Randomized blocks ANOVA displays correct
visualizations
BarChart(): Ordinal factors properly display as
color gradients, e.g., “blues”
PieChart(): theme other than default
now implemented
Plot(): For plotting a Trellis plot with a
by variable, all levels correctly plotted and legend
correct
Plot(): If x or y is
categorical and the other continuous, if a by variable then
fill and color colors properly displayed at
end of display
Sort(): Internal coding simplified for improved
functionality and generality
ttest(): pdf_file now works for one
group t-test of the mean
interact(): New function for running one of the
following shiny apps for interactive visualizations: “BarChart1”,
“BarChart2”, “Histogram”, “ScatterPlot”, “Trellis”, e.g.,
interact(“BarChart1”)
pivot(): Read a tidyverse tibble in
addition to standard R data frames
pivot(): When naming variables, for variable
y, now y_mean instead of
y_mn
Plot(): For x=categorical and
y=continuous, or vice versa, no jitter added if there are
no duplications of y at each level of x, plus
more jitter added for larger sample size if jitter is needed
BarChart(): Sort now works properly with a
horizontal plot
pivot(): Now can have one variable to aggregate and
one aggregation variable named x
Regression(): Debugging code removed from the k-fold
cross-validation analysis
ANOVA(): Scatterplot for 1-way ANOVA now has grid
lines and jitter
ANOVA(): Scatterplot for 1-way ANOVA now has
jitter_x parameter added to customize the jitter
level
ANOVA(): Scatterplot for 1-way ANOVA now has means
plotted in a dark red instead of a dark gray
BarChart(): Tilde removed from each label if for a
by variable in the legend where it is
nonfunctional
pivot(): User defined functions accounted for and
named in the output
pivot(): When analysis of all data values, dropped
the Grand_Stat label
Plot(): Point color and fit line now a little darker
and complements of each other, plot_errors segments a
little darker as well
Plot(): For fit="reciprocal", fit line
present for all values of x, even if plot window does not
accommodate the full range, can adjust range with parameter
pad_y
Plot(): Parameter root added for
general root transformation beyond the value of 0.5 for the square
root
Plot(): Parameter fit_power added to
raise y to the designated power for the exp,
root, and reciprocal transformations
Plot(): Correlational analysis no longer displayed
for a non-linear fit line
Plot(): SSE displayed for corresponding
fit line (curve)
BarChart(): Two variable chart with parameters
x and by specified now correctly displays a
color range when the style is not the default theme
BarChart(): Base R text() function
misleadingly displays text at size 1 if a value of 0 is entered, lessR
functions that rely on the R text function now fixed by changing an
input value of 0 to 0.01
pivot(): Output variables now properly
named
Plot(): Trellis plots with by1 and
by2 parameters work in Shiny environment
BarChart(): If parameter sta not
specified, there is now no default if the parameter y
variable is specified without an indication of what statistic to
compute
BarChart(): Gentle termination with a message if
stats specifies a transform that results in missing data in
the computed summary table
BarChart(): For analysis of computing a summary
table with the parameter stat parameter, no longer display
the summary stats for the parameter x variable when a by
variable is present
getColors(): Default qualitative color palette
softened a bit by increasing luminance from 55 to 60
getColors(): By default, now does not generate
output when called from visualization parameters parameter
fill and parameter color for parameter
BarChart(), etc.
getColors(): Output parameter values changed to
parameter logical, parameter TRUE and
parameter FALSE
pivot(): New parameter parameter
table_long allows the table computation for a cross-tabs
table be output in long form
pivot(): Tabulate computation continues to work,
though no longer documented as it is supersede
BarChart(): Further adjustment to accommodate very
large legend labels for two variable plots
BarChart(): If the y values are input, the display
of the values will be properly turned off if the parameter
style option for values is set to parameter
"off"
Plot(): Default jitter for 1-D scatterplot works
again in VBS plots
Plot(): Parameter by works again for
VBS plots, multiple plots on same panel
Plot(): Parameter color now works in
conjunction with the by parameter
Plot(): Applied to a scatterplot of two continuous
variables: if color is set to "off" (or
"transparent"), a requested fit line still
displays means are now properly plotted for a scatterplot of a
continuous and categorical variable when jitter is applied to the
plotted points default outlier shape in gray scale changes to diamond as
documented
BarChart(): For a two categorical variable bar
chart, the legend labels are by default no longer
abbreviated, instead sufficient room is generated by the plot
BarChart(): New parameter legend_abbrev
allows for the specification of the maximum number of characters to
display for the legend labels
BarChart(): For a two categorical variable bar
chart, better default placement of the legend new parameter
legend_adj allows for horizontal adjustment of the
legend
BarChart(): First variable x is a
vector works again
Histogram(): Parameter pdf_file
works
Plot(): Parameter enhance=TRUE
correctly prints least-squares line when fill changed
BarChart(): When fill or color set with
getColors(), the value of n, the number of colors, is
provided according to the number of bars
BarChart(): When horiz is TRUE, order
of sort changed so that "-" starts at top
BarChart(): Space to separate the
x-axis label when several lines revised parameter
pdf to pdf_file
corProp(): Alias changed from prop to
cp, so prop for new function
Proportion()
Density(): Parameter pdf to
pdf_file
Histogram(): Parameter pdf to
pdf_file
kurtosis(): New function for computing kurtosis,
available for the pivot() function
pivot(): Choose any two of the following three
parameters: multiple compute functions, multiple values over which to
compute, and multiple grouping (by) variables
pivot(): No by variables imply to do
grand total(s) without an aggregation
pivot(): Choose any two of the following three
parameters: multiple compute functions, multiple variables, and multiple
by-variables.
pivot(): Sort parameter applies for a single
aggregated numerical variable and specifies the variable or column
number to sort
pivot(): For each non-decimal digit variable with
unique data values, display
pivot(): The variable name and the unique values to
better label the output when drilling down into levels of one or more
categorical variables
pivot(): Compute quantiles() function
provides a standard data frame
pivot(): Compute table() function
provides a cross-classification table for a discrete aggregated
variable
pivot(): Table frequencies can be converted to
proportions, and row and column proportions
pivot(): Parameter out_names parameter
to custom-name aggregated variables
pivot(): Parameter na_by renamed to
na_by_show to better communicate its meaning skew and
kurtosis added to the list of available descriptive statistics
pivot(): Parameter q_num specifies
number of intervals for quantiles
pivot(): Parameter rows subsets rows of
the data frame for analysis
pivot(): Parameter value changed to
parameter variable
pivot(): Parameters rows_by and
cols_by changed to by and
by_cols
Plot(): Scatterplot matrix does a loess fit if
fit=TRUE
Plot(): If multiple x or y
variables, text correlation analysis displayed for each
combination
Plot(): If a by variable, then text
correlation for each level not yet available, so not displayed
Plot(): Default for plotting a fit line with by
groups is to not plot the standard errors because the plot becomes
overcrowded
Plot(): Warning displayed if the date field or a
by/by1 field is not ordered
Plot(): Stacked time series chart of different
shades of same hue, such as "blues" now have each sub-plot
with a black border
Plot(): Trellis plot distinguishes
area_fill under a line from fill for a
point
Plot(): radius value for bubble plot
frequency matrix dependent on size of
Plot(): Largest frequency radius value
displayed for bubble plot frequency matrix
prob_norm(): Probability is returned as the value of
the function, not just printed
prob_tcut(): Cutoff is returned as the value of the
function, not just printed
Prop_test(): New function for the analysis of
proportions: test of homogeneity for one or more samples based on the
proportion of successes for a specific value of a variable, and for a
single sample, goodness-of-fit for a single categorical variable and
test of independence for two categorical variables
Prop_test(): prop is alias
recode(): Changed to lower case function
name
rescale(): Changed to lower case function
name
Regression(): Bubble plot form of a scatterplot for
integer variables with less than 10 unique values and a
single predictor variable
skew(): New function for computing skew, available
for the pivot() function
style(): slatered theme added
style(): ellipse_fill for default
"colors" theme now a pale brown instead of blue
BarChart(): With more than 30 categories, a message
to indicate how to retrieve now properly displays instead of
crashing
BarChart(): fill=(count) would fail for
a large number of levels
BarChart(): Stacked bars from multiple items now
works with variable labels
BarChart(): Stacked bars from multiple items now
works for binary responses
Extract(): Now works if name of data frame is a
function in another context
Extract(): Now works even if one variable name is
embedded in another name
Plot(): Forcing an evaluation of a scalar logical on
a vector fixed
Plot(): theme parameter works for most
common parameters
Plot(): Bubble plot frequency matrix text output
works with labels
Plot(): Bubble plot frequency matrix plot
x-axis works with binary response
Plot(): area_fill works
correctly
ttest(): For paired analysis, x-axis
properly labeled Difference
`