Type: Package
Title: Subset and Flag Data Frames with Times by the Use of Periods
Version: 0.9.1
Date: 2024-04-29
Maintainer: Toshihiro Umehara <toshi@niceume.com>
Description: Data frames with time information are subset and flagged with period information. Data frames with times are dealt as timeDF objects and periods are represented as periodDF objects.
Suggests: RUnit
Imports: Rcpp (≥ 0.11.0), methods
LinkingTo: Rcpp
License: GPL (≥ 3)
URL: https://github.com/niceume/timeDF
BugReports: https://github.com/niceume/timeDF
NeedsCompilation: yes
Packaged: 2024-04-29 01:46:00 UTC; toshihiro
Author: Toshihiro Umehara [aut, cre]
Repository: CRAN
Date/Publication: 2024-04-29 02:40:03 UTC

Subset and Flag Data Frames with Times by the Use of Periods

Description

Data frames with time information are subset and flagged with period information. Data frames with times are dealt as timeDF objects and periods are represented as periodDF objects.

Details

Package timeDF provides functionality to deal with times with the use of periods. With period information, data frames with time information are subset and flagged.

Author(s)

Toshihiro Umehara [aut, cre] Maintainer: Toshihiro Umehara <toshi@niceume.com>

See Also

timeDF-class periodDF-class as.timeDF as.periodDF vec_to_periodDF extract_with_periodDF flag_with_periodDF

Examples

library(timeDF)
time_df = data.frame(
    time = c("2023-01-01 12:00:00",
             "2023-01-21 12:00:00",
             "2023-02-10 12:00:00",
             "2023-03-02 12:00:00",
             "2023-03-22 12:00:00",
             "2023-04-11 12:00:00"
    ),
    value = c(123, 144, 150, 100, 130, 145)
)

timeDF = as.timeDF(time_df)

period_df = data.frame(
    start = c("2023-01-01",
              "2023-03-01"),
    end = c("2023-01-31",
            "2023-03-31")
)
periodDF = as.periodDF(period_df, "date")

extract_with_periodDF(timeDF, periodDF, "both")

Function to adjust starts and ends for periods in periodDF object

Description

adjust_periodDF function

Usage

adjust_periodDF(periodDF, adjStart, adjEnd, units)

Arguments

periodDF

S3 periodDF class

adjStart

values to be added for starts.

adjEnd

values to be added for ends.

units

units for values of adjStart and adjEnd

Details

adjust_periodDF function adjust starts and ends for periods in periodDF objects.

Value

periodDF object

See Also

periodDF-class timeDF-package

Examples

period_time = data.frame(
     start = c("2023-12-01 03:00:00",
               "2023-12-01 20:00:00",
               "2023-12-02 05:00:00",
               "2023-12-03 21:00:00"),
     end = c("2023-12-01 04:00:00",
             "2023-12-01 21:00:00",
             "2023-12-02 06:00:00",
             "2023-12-03 22:00:00")
)
periodTime = as.periodDF(period_time, "time")
adjust_periodDF(periodTime, -1, 3, units="hours")

period_date = data.frame(
    start = c("2023-01-01",
              "2023-02-01",
              "2023-03-01",
              "2023-04-01"),
    end = c("2023-01-14",
            "2023-02-14",
            "2023-03-14",
            "2023-04-14"),
    label = c("One", "Two", "Three", "Four")
)
periodDate = as.periodDF(period_date, "date")
adjust_periodDF(periodDate, -1, 1, units="days")

period_time_in_a_day = data.frame(
    start = c("04:00",
              "11:00",
              "17:00"),
    end = c("11:00",
            "17:00",
            "24:00"),
    label = c("morning",
              "afternoon",
              "evening")
)
periodTimeInDay = as.periodDF(period_time_in_a_day, "time_in_a_day", label_var = "label")
adjust_periodDF( periodTimeInDay, 1, 1, "hours")

Convert timeDF object to a plain dataframe

Description

Convert timeDF object to a plain dataframe.

Usage

## S3 method for class 'timeDF'
as.data.frame(x,row.names=NULL,optional=FALSE,format =
"%Y-%m-%d %H:%M:%S",...)

Arguments

x

timeDF object

row.names

same as as.data.frame in base

optional

same as as.data.frame in base

format

character element that describes how times in timeDF are converted to chracters. If "as_is" is specified, time objects are not preserved without converting to characters.

...

Further arguments passed to or from other methods

Details

Convert timeDF object to a plain dataframe.

Value

dataframe

See Also

timeDF-class timeDF-package

Examples


as.data.frame(timeDF)

Function to construct periodDF object from dataframe

Description

as.periodDF function interpret dataframe and convert it into periodDF class object.

Usage

as.periodDF(df, period_type, format = "auto", start_var =
"start", end_var = "end", label_var = NULL)

Arguments

df

dataframe that holds columns for starts and ends of periods which are defined by start_var and end_var arguments. Column for labels is optional.

period_type

character element that defines what kind of periods are specified. "time", "date" or "time_in_a_day" is available.

format

character element that defines the formats of starts and end columns. If "auto" is specified, format that corresponds to period_type is automatically selected. If "as_is" is specified, columns for start and end are used as they are without conversion. In this case, column objects need to be compatible with objects that period_type requires. Time requires POSIXlt or POSIXct with UTC timezone, date requires Date, and time_in_a_day requires numeric values from 0 to 24 * 60 * 60.

start_var

character element that specifies the column name for starts.

end_var

character element that specifies the column name for ends.

label_var

character element that specifies the column name for labels.

Details

as.periodDF function constructs periodDF object from dataframe. Types of periodDF are described in periodDF-class.

Value

periodDF object

See Also

periodDF-class timeDF-package

Examples

period_time = data.frame(
     start = c("2023-12-01 01:00:00",
               "2023-12-01 02:00:00",
               "2023-12-01 03:00:00",
               "2023-12-02 04:00:00"),
     end = c("2023-12-01 02:00:00",
             "2023-12-01 03:00:00",
             "2023-12-01 04:00:00",
             "2023-12-02 05:00:00")
)
as.periodDF(period_time, "time")

period_date = data.frame(
    start = c("2023-01-01",
              "2023-02-01",
              "2023-03-01"),
    end = c("2023-01-14",
            "2023-02-14",
            "2023-03-14"),
    label = c("Jan", "Feb", "Mar")
)
as.periodDF(period_date, "date")

period_time_in_a_day = data.frame(
    start = c("04:00",
              "11:00",
              "17:00"),
    end = c("11:00",
            "17:00",
            "24:00"),
    label = c("morning",
              "afternoon",
              "evening")
)
as.periodDF( period_time_in_a_day,
             "time_in_a_day",
              label_var = "label")

Function to construct timeDF object from dataframe

Description

as.timeDF function converts dataframe into timeDF class object

Usage

as.timeDF(df, time_var = "time", format = "%Y-%m-%d %H:%M:%S")

Arguments

df

dataframe that holds a column for time as character.

time_var

character element that specifies column name for time in the dataframe.

format

character element that specifies a format for times. If "as_is" is specified, column for start is used as it is without conversion. In this case, column needs to be POSIXlt with UTC timezone.

Details

as.timeDF function constructs timeDF object from dataframe.

Value

timeDF object

See Also

timeDF-class timeDF-package

Examples

time_df = data.frame(
    time = c("2023-12-01 01:00:00",
             "2023-12-01 02:00:00",
             "2023-12-01 03:00:00",
             "2023-12-01 04:00:00"),
    value = c(123,
              144,
              150,
              100)
)
as.timeDF(time_df)

Function to condense periods in periodDF object

Description

condense_periodDF function

Usage

condense_periodDF(periodDF, open = TRUE, useData = "start")

Arguments

periodDF

S3 periodDF class

open

If this is set TRUE, periods are dealt as open intervals. If FALSE is set, periods are dealt as closed intervals.

useData

"start" or "end" is specified. This decides how columns other than start and end are combined. If "start" is specified, data of a period that contains start timing is used for the combined period. If "end" is specified, data of end period is used.

Details

condense_periodDF function condenses periods in a periodDF object. If periods are overlapped, they are condensed into one period. When periods share the same timing with their start and end, whether they are combined into one period or are dealt separately depends on an argument of open.

Value

periodDF object

See Also

periodDF-class timeDF-package

Examples

period_time = data.frame(
     start = c("2023-12-01 01:00:00",
               "2023-12-01 02:00:00",
               "2023-12-01 03:00:00",
               "2023-12-02 04:00:00"),
     end = c("2023-12-01 02:00:00",
             "2023-12-01 03:00:00",
             "2023-12-01 04:00:00",
             "2023-12-02 05:00:00")
)
periodTime = as.periodDF(period_time, "time")
condense_periodDF(periodTime, open = TRUE)
condense_periodDF(periodTime, open = FALSE)

period_date = data.frame(
    start = c("2023-01-01",
              "2023-01-14",
              "2023-02-14",
              "2023-03-14"),
    end = c("2023-01-31",
            "2023-02-14",
            "2023-03-14",
            "2023-04-14"),
    label = c("One", "Two", "Three", "Four")
)
periodDate = as.periodDF(period_date, "date")
condense_periodDF(periodDate, open=TRUE)
condense_periodDF(periodDate, open=FALSE)

period_time_in_a_day = data.frame(
    start = c("04:00",
              "11:00",
              "17:00"),
    end = c("11:00",
            "17:00",
            "24:00"),
    label = c("morning",
              "afternoon",
              "evening")
)
periodTimeInDay = as.periodDF(period_time_in_a_day, "time_in_a_day", label_var = "label")
condense_periodDF( periodTimeInDay, open = TRUE)
condense_periodDF( periodTimeInDay, open = FALSE)

Function to convert type of periodDF object

Description

convert_periodDF function

Usage

convert_periodDF(periodDF, period_type, base_date = NULL)

Arguments

periodDF

S3 periodDF class

period_type

period_type to be conveted to

base_date

only used when converting time_in_a_day into time type

Details

convert_periodDF function converts period types of periodDF object. Conversions from "date" to "time", "time" to "date", "time" to "time_in_a_day" and "time_in_a_day" to "time" are supported.

Value

periodDF object

See Also

periodDF-class timeDF-package

Examples

period_date = data.frame(
    start = c("2023-01-01",
              "2023-02-01",
              "2023-03-01",
              "2023-04-01"),
    end = c("2023-01-14",
            "2023-02-14",
            "2023-03-14",
            "2023-04-14"),
    label = c("One", "Two", "Three", "Four")
)
periodDate = as.periodDF(period_date, "date")
convert_periodDF(periodDate, "time")

period_time = data.frame(
     start = c("2023-12-01 03:00:00",
               "2023-12-01 20:00:00",
               "2023-12-02 05:00:00",
               "2023-12-03 21:00:00"),
     end = c("2023-12-01 04:00:00",
             "2023-12-01 21:00:00",
             "2023-12-02 06:00:00",
             "2023-12-03 22:00:00")
)
periodTime = as.periodDF(period_time, "time")
convert_periodDF(periodTime, "date")

period_time_in_a_day = data.frame(
    start = c("04:00",
              "11:00",
              "17:00"),
    end = c("11:00",
            "17:00",
            "24:00"),
    label = c("morning",
              "afternoon",
              "evening")
)
periodTimeInDay = as.periodDF(period_time_in_a_day, "time_in_a_day", label_var = "label")
convert_periodDF( periodTimeInDay, "time", base_date = "2023-12-01")

Extract time records from timeDF object within periods of periodDF object

Description

Extract time records from timeDF object that are included within periods of periodDF object. periodDF object has one of some timescales, and how this function extracts time records depends on the timescale. Also, when the time is on either end of a time period, whether the time record is extracted or not depends on the include argument. "both" means including both sides, "right" means including only the right side, "left" means including only the left side, and "none" does not include any sides.

Usage

extract_with_periodDF(timeDF, periodDF, include, modStart = 0, modEnd = 0,
units = NULL, outputAsBool = FALSE)

Arguments

timeDF

timeDF object

periodDF

periodDF object

include

character element that specifies whether each end of periods is included or not

modStart

values to be added for starts of periods.

modEnd

values to be added for ends of periods.

units

units for values of modStart and modEnd

outputAsBool

boolean value; if this is TRUE, the return value is a boolean vector or boolean vectors that represent(s) records to be extracted

Value

If periodDF does not have labels, timeDF object or a boolean object is returned. If periodDF has labels, a list of timeDF objects with keys of label names or a list of boolean vectors with label name keys is retruned.

See Also

timeDF-class periodDF-class timeDF-package

Examples

time_df = data.frame(
    time = c("2023-01-01 12:00:00",
             "2023-01-21 12:00:00",
             "2023-02-10 12:00:00",
             "2023-03-02 12:00:00",
             "2023-03-22 12:00:00",
             "2023-04-11 12:00:00"
    ),
    value = c(123, 144, 150, 100, 130, 145)
)
timeDF = as.timeDF(time_df)

period_df = data.frame(
    start = c("2023-01-01",
              "2023-02-01",
              "2023-03-01"),
    end = c("2023-01-31",
            "2023-02-28",
            "2023-03-31"),
    label = c("Jan", "Feb", "Mar")
)
periodDF = as.periodDF(period_df, "date", label_var = "label")

extract_with_periodDF(timeDF, periodDF, "both")

Flag time records from timeDF object within periods of periodDF object

Description

Flag time records of timeDF object that are included within periods of periodDF object. Which time records are flagged follows the same rule as extract_with_periodDF function.

Usage

flag_with_periodDF(timeDF, periodDF, flag_var, include, modStart = 0,
modEnd = 0, units = NULL)

Arguments

timeDF

timeDF object

periodDF

periodDF object

flag_var

character element that specifies the column name to which flaggs are added

include

character element that specifies whether each end of periods is included or not

modStart

values to be added for starts of periods.

modEnd

values to be added for ends of periods.

units

units for values of modStart and modEnd

Value

timeDF object flagged with labels

See Also

timeDF-class periodDF-class timeDF-package

Examples

time_df = data.frame(
    time = c("2023-01-01 12:00:00",
             "2023-01-21 12:00:00",
             "2023-02-10 12:00:00",
             "2023-03-02 12:00:00",
             "2023-03-22 12:00:00",
             "2023-04-11 12:00:00"
    ),
    value = c(123, 144, 150, 100, 130, 145)
)
timeDF = as.timeDF(time_df)

period_df = data.frame(
    start = c("2023-01-01",
              "2023-02-01",
              "2023-03-01"),
    end = c("2023-01-31",
            "2023-02-28",
            "2023-03-31"),
    label = c("Jan", "Feb", "Mar")
)
periodDF = as.periodDF(period_df, "date", label_var = "label")

flag_with_periodDF(timeDF, periodDF, "month_label", "both")

converts a list of timeDF objects into a timeDF object

Description

listTimeDF_to_timeDF function combines timeDF objects in the original list. Each timeDF name in the original list is assigned to a column specified by name_var argument.

Usage

listTimeDF_to_timeDF(listTimeDF, name_var = "name")

Arguments

listTimeDF

a list of timeDF objects

name_var

column name holding names from the original list

Value

timeDF object

See Also

timeDF-class

Examples

  
    listTimeDF = extract_with_periodDF(
                     time_df,
                     period_df,
                     include="both")
    listTimeDF_to_timeDF(listTimeDF)

periodDF S3 class

Description

periodDF object stores definitions of periods.

Details

periodDF object stores definitions of periods and the periods can be defined in one of some timescales, "time", "date" or "time_in_a_day". If "time" is specified, each period means period between two timepoints. If "date" is specified, each period represents period between two dates. If "time_in_a_day" is used, each period means period between two timepoints in a day. periodDF object is used with functions in timeDF-package, and those functions behave diffrently based on the timescale.

See Also

as.periodDF vec_to_periodDF timeDF-package

Function to obtain period type of periodDF object

Description

period_type function returns the period type of periodDF object.

Usage

period_type(periodDF)

Arguments

periodDF

periodDF object

Details

period_type function returns the period type of periodDF object.

Value

string

See Also

periodDF-class

Examples

period_time = data.frame(
     start = c("2023-12-01 01:00:00",
               "2023-12-01 02:00:00",
               "2023-12-01 03:00:00",
               "2023-12-02 04:00:00"),
     end = c("2023-12-01 02:00:00",
             "2023-12-01 03:00:00",
             "2023-12-01 04:00:00",
             "2023-12-02 05:00:00")
)
periodTime = as.periodDF(period_time, "time")
period_type(periodTime)

period_date = data.frame(
    start = c("2023-01-01",
              "2023-01-14",
              "2023-02-14",
              "2023-03-14"),
    end = c("2023-01-31",
            "2023-02-14",
            "2023-03-14",
            "2023-04-14"),
    label = c("One", "Two", "Three", "Four")
)
periodDate = as.periodDF(period_date, "date",
label_var = "label")
period_type(periodDate)

period_time_in_a_day = data.frame(
    start = c("04:00",
              "11:00",
              "17:00"),
    end = c("11:00",
            "17:00",
            "24:00"),
    label = c("morning",
              "afternoon",
              "evening")
)
periodTimeInDay = as.periodDF(period_time_in_a_day,
"time_in_a_day", label_var = "label")
period_type(periodTimeInDay)

Function to select columns in timeDF object

Description

select_timeDF function

Usage

select_timeDF(timeDF, colnames)

Arguments

timeDF

timeDF object

colnames

column names to be selected, chracter vector

Details

select_timeDF function returns a new timeDF object with columns specified and the column holding time information.

Value

timeDF object

See Also

timeDF-class

Examples

time_df = data.frame(
    time = c("2023-12-01 01:00:00",
             "2023-12-01 05:00:00",
             "2023-12-01 09:00:00",
             "2023-12-01 13:00:00",
             "2023-12-01 17:00:00",
             "2023-12-01 21:00:00"),
    value = c(123,
              144,
              150,
              100,
              200,
              180),
    phase = c("A",
              "A",
              "B",
              "B",
              "C",
              "C")
)
timeDF = as.timeDF(time_df)
select_timeDF(timeDF, c("phase"))

Function to sort periods in periodDF object

Description

sort_periodDF function

Usage

sort_periodDF(periodDF, by="start")

Arguments

periodDF

S3 periodDF class

by

"start" or "end" is set. Periods are sorted by start_var or end_var in periodDF.

Details

sort_periodDF function sort periods in a periodDF object.

Value

periodDF object

See Also

periodDF-class timeDF-package

Examples

period_time = data.frame(
     start = c("2023-12-01 01:00:00",
               "2023-12-01 02:00:00",
               "2023-12-01 03:00:00",
               "2023-12-02 04:00:00"),
     end = c("2023-12-01 02:00:00",
             "2023-12-01 03:00:00",
             "2023-12-01 04:00:00",
             "2023-12-02 05:00:00")
)
periodTime = as.periodDF(period_time, "time")
sort_periodDF(periodTime)

period_date = data.frame(
    start = c("2023-01-01",
              "2023-01-14",
              "2023-02-14",
              "2023-03-14"),
    end = c("2023-01-31",
            "2023-02-14",
            "2023-03-14",
            "2023-04-14"),
    label = c("One", "Two", "Three", "Four")
)
periodDate = as.periodDF(period_date, "date")
sort_periodDF(periodDate)

period_time_in_a_day = data.frame(
    start = c("04:00",
              "11:00",
              "17:00"),
    end = c("11:00",
            "17:00",
            "24:00"),
    label = c("morning",
              "afternoon",
              "evening")
)
periodTimeInDay = as.periodDF(period_time_in_a_day, "time_in_a_day", label_var = "label")
sort_periodDF(periodTimeInDay)

Function to sort records in timeDF object

Description

sort_timeDF function

Usage

sort_timeDF(timeDF, decreasing=FALSE)

Arguments

timeDF

timeDF object

decreasing

boolean value to specify whether the sorting is conducted in decreasing order or not.

Details

sort_timeDF function sorts records in timeDF object.

Value

timeDF object

See Also

timeDF-class

Examples


sort_timeDF(timeDF)

Function to split timeDF into a list by regular intervals

Description

split_timeDF_by_intervals splits timeDF into a list of timeDF objects by regular intervals. Intervals can be spcified by numeric value and its unit. For example, if the interval is specified as two days, timeDF object is split by two day interval. The start time for this interval is decided by the minimum time and the interval unit in the original timeDF. If there are no records present for some intervals, their corresponding results are timeDF objects with zero rows.

Usage

split_timeDF_by_intervals(timeDF,byN,byUnits,
                          modStart=0,modEnd=0,modUnits = "auto")

Arguments

timeDF

timeDF object

byN

interval value, numeric

byUnits

interval unit, "days", "hours" or "mins"

modStart

values to be added for starts of intervals

modEnd

values to be added for ends of intervals

modUnits

units for values of modStart and modEnd

Value

list of timeDF objects

See Also

timeDF-class

Examples

time_df = data.frame(
    time = c("2023-01-01 08:00:00",
             "2023-01-01 12:00:00",
             "2023-01-01 16:00:00",
             "2023-01-02 08:00:00",
             "2023-02-02 10:00:00",
             "2023-03-03 11:00:00",
             "2023-03-03 16:00:00",
             "2023-03-05 12:00:00"
    ),
    value = c(123, 144, 150, 100,
              130, 145, 180, 100)
)
timeDF = as.timeDF(time_df)

split_timeDF_by_intervals(timeDF, 1, "days")

Summarize periodDF S3 object

Description

summary function for periodDF S3 object.

Usage

## S3 method for class 'periodDF'
summary(object,...)

Arguments

object

S3 periodDF class

...

Further arguments passed to or from other methods.

Details

summary function for periodDF S3 object. This enables users to obtain the summary of periods.

Value

List that have properties of periodDF object.

See Also

periodDF-class

Examples


summary(periodDF)

Summarize timeDF S3 object

Description

summary function for timeDF S3 object.

Usage

## S3 method for class 'timeDF'
summary(object,...)

Arguments

object

S3 timeDF class

...

Further arguments passed to or from other methods.

Details

summary function for timeDF S3 object. This enables users to obtain the summary of periods.

Value

List that have properties of timeDF object.

See Also

timeDF-class

Examples


summary(timeDF)

timeDF S3 class

Description

timeDF object stores definitions of periods.

Details

timeDF object stores records with time information. The column to hold time information can be specified as "time_var" attribute.

See Also

as.timeDF timeDF-package

time vector and column name for times of timeDF

Description

Functions to obtain time vector and column name for times of timeDF

Usage

time_vec(timeDF)

time_var(timeDF)

Arguments

timeDF

timeDF object

Details

time_vec function returns times in timeDF object.

time_var function returns the column name for times in timeDF object, i.e. returns the value of time_var attribute.

Value

For time_vec, a vector of time objects

For time_var, a string of the column name for tiems

See Also

timeDF-class

Examples


time_vec(timeDF)
time_var(timeDF)

Checks whether the object is a list of timeDF objects

Description

Checks whether the object is list of timeDF objects

Usage

validate_listTimeDF(listTimeDF, noerror=FALSE)

Arguments

listTimeDF

is expected to be a list of timeDF objects

noerror

boolean value determins whether the function raises an error or returns FALSE when the object is not a valid timeDF object.

Details

validate_listTimeDF function checks whether the object is a list of timeDF objects. If noerror is FALSE and the object is not a list of timeDF objects, this function raises an error. If noerror is TRUE, this function returns FALSE when the object is not a list of timeDF objects.

Value

boolean

See Also

timeDF-class

Examples

time_df = as.timeDF(
    data.frame(
        time = c("2024-01-01 01:00:00",
                 "2024-02-02 02:00:00",
                 "2024-03-03 03:00:00",
                 "2024-04-04 04:00:00",
                 "2024-05-05 05:00:00"),
        value = c(123,
                  144,
                  150,
                  100,
                  180)
    ))
period_df = as.periodDF(
    data.frame(
        start = c(
            "2024-01-01",
            "2024-02-01",
            "2024-03-01",
            "2024-04-01",
            "2024-05-01"
        ),
        end = c(
            "2024-01-31",
            "2024-02-29",
            "2024-03-31",
            "2024-04-30",
            "2024-05-31"
        ),
        label = c(
            "Jan",
            "Feb",
            "Mar",
            "Apr",
            "May"
        )
    ),
    period_type = "date",
    label_var = "label"
)
listTimeDF = extract_with_periodDF(time_df,
                                   period_df,
                                   include="both")
validate_listTimeDF(listTimeDF, noerror=TRUE)

Checks whether the object is a valid sorted timeDF object

Description

Checks whether the object is a timeDF object sorted by its time information.

Usage

validate_sorted_timeDF(timeDF, noerror=FALSE)

Arguments

timeDF

timeDF object

noerror

boolean value determins whether the function raises an error or returns FALSE when the object is not a valid sorted timeDF object.

Details

validate_sorted_timeDF function checks whether the object is a timeDF object sorted by its time information. If noerror is FALSE and the object is not a valid sorted timeDF object, this function raises an error. If noerror is TRUE, this function returns FALSE when the object is not a valid sorted timeDF object.

Value

boolean

See Also

timeDF-class

Examples


validate_sorted_timeDF(timeDF)

Checks whether the object is a valid timeDF object

Description

Checks whether the object is a valid timeDF object.

Usage

validate_timeDF(timeDF, noerror=FALSE)

Arguments

timeDF

timeDF object

noerror

boolean value determins whether the function raises an error or returns FALSE when the object is not a valid timeDF object.

Details

validate_timeDF function checks whether the object is a valid timeDF object. If noerror is FALSE and the object is not a valid timeDF object, this function raises an error. If noerror is TRUE, this function returns FALSE when the object is not a valid timeDF object.

Value

boolean

See Also

timeDF-class

Examples


validate_timeDF(timeDF)

Function to construct periodDF object from vector

Description

vec_to_periodDF function takes a vector of timepoints or dates to start and each duration, and constructs periodDF class object.

Usage

vec_to_periodDF(vec, period_type, duration, units, format = "auto",
labels = NULL, pre_margin = 0)

Arguments

vec

vector that represents starts of periods. If pre_margin argument is specified, each period extends forward from the starts.

period_type

character element that defines what kind of periods are specified. "time", "date" or "time_in_a_day" is available.

duration

numeric values represent duration of each period.

units

character element represents unit of duration.

labels

labels that are used for each period.

format

character element that defines the formats of vec. If "auto" is specified, format that corresponds to period_type is automatically selected. If "as_is" is specified, the vector is used for starts of periods as it is without conversion. In this case, the vector needs to be compatible with objects that period_type requires. Time requires POSIXlt or POSIXct with UTC timezone, date requires Date, and time_in_a_day requires numeric values from 0 to 24 * 60 * 60.

pre_margin

numeric values; if values are set, each period extends forward from the starts specified in vec argument.

Details

vec_to_periodDF function takes a vector of timepoints or dates to start and each duration, and constructs periodDF class object. Types of periodDF are described in periodDF-class.

Value

periodDF object

See Also

periodDF-class timeDF-package

Examples

start_time = c("2023-12-01 01:00:00",
               "2023-12-02 02:00:00",
               "2023-12-03 03:00:00",
               "2023-12-04 04:00:00")
vec_to_periodDF(start_time, "time", 1, "hours")

start_date = c("2023-01-01",
               "2023-02-01",
               "2023-03-01")
vec_to_periodDF(start_date, "date", 14, "days",
                      labels = c("Jan", "Feb", "Mar"))

start_time_in_a_day = c("06:00",
                        "11:00",
                        "18:00")
vec_to_periodDF(start_time_in_a_day, "time_in_a_day",
                      4, "hours",
                      labels = c("morning", "afternoon", "evening"))