lsr 1.0.0

Bug fixes

• correlate(): when a pair of variables had too few complete observations for cor.test() to run, the entire call would abort. The affected cell is now left as NA and the remaining pairs are computed normally.

• correlate(), goodnessOfFitTest(), associationTest(): the internal options(warn = 2) used to intercept warnings was not guarded with on.exit(), so an unexpected error could leave the session’s global warn level permanently elevated. All three functions now use on.exit() to guarantee restoration.

• cramersV(): Yates’ continuity correction was applied by default for 2×2 tables (inherited from chisq.test()), causing V to be less than 1 even for perfectly associated tables. Cramér’s V is now always computed from the Pearson chi-squared (no continuity correction), giving results on the correct 0-to-1 scale.

• goodnessOfFitTest(), associationTest(): when a factor variable had unused levels, the extra levels were silently included in the test with zero observed cases, changing degrees of freedom and p-values without any indication. Both functions now issue an informative warning when unused levels are detected, with a suggestion to call droplevels().

• modeOf(), maxFreq(): all-NA or zero-length input produced a cryptic base-R "no non-missing arguments to max" warning and returned empty output. Both functions now issue an informative warning and return NA.

• wideToLong(): when no column names contained the separator string, the error came from deep inside stats::reshape() with no hint that the cause was a naming-convention mismatch. The function now checks for this condition early and stops with a plain-English message.

• importList(): passing an unnamed or partially-named list produced a cryptic "'names' must be a character vector" error from base R. The function now checks for missing names before proceeding and stops with an informative message. Passing an empty list now also produces a message rather than silently doing nothing.

Bug fixes

• correlate(): when fewer than 2 numeric variables were present in the input, the function could iterate incorrectly due to 1:(n-1) evaluating to c(1, 0) rather than an empty sequence. Fixed with seq_len(n-1).

• oneSampleTTest(): the conf.level argument was not forwarded to stats::t.test(), so $conf.int always contained the 95% interval regardless of what the user requested (#9).

• independentSamplesTTest(), pairedSamplesTTest(), associationTest(): passing a tibble as data caused spurious type-check failures. Fixed by coercing data to a plain data frame on entry (#2).

Dependencies

• tibble and withr added to Suggests (used in tests only).

lsr 0.5.2

• Updates maintainer email.
• Adds basic unit tests in preparation for refactoring.

lsr 0.5.1

• Uses correct maintainer information.
• Ports documentation to roxygen2 and adds pkgdown site.
• Minor internal changes to fix CRAN notes.

lsr 0.5

• Version number advanced to match next iteration of the book.
• maxFreq() and modeOf() argument checking is more permissive.
• correlate() allows the user to input two numeric vectors instead of data frames / matrices.

lsr 0.3.2

• Convenience functions goodnessOfFitTest(), associationTest() added.
• Fixed a couple of bugs in the t-test functions.
• pairedSamplesTTest() now supports long-form and wide-form data.

lsr 0.3.1

• cohensD() argument checking is more permissive.
• Convenience functions oneSampleTTest(), pairedSamplesTTest(), and independentSamplesTTest() added.

lsr 0.3

• bars() function added.
• correlate() function added.
• In general, there is a lot more checking of the user input.
• pooledSD moved to a sub-function of cohensD().
• Formula argument to cohensD() is now handled using model.frame().
• expandFactors() now returns a data frame rather than a matrix (and does so correctly for data frames with only one row).
• expandFactors() no longer drops cases with NA.
• Fixed bug in wideToLong() in which the reshape function tries to create non-unique row names.
• Fixed bug in quantileCut() when missing data are present.
• ciMean() now handles data frames and matrices.

lsr 0.2.4

• Fixed a bug in etaSquared() that prevented it from correctly determining marginal terms in Type II sum of squares, and another in which the residual sum of squares was being calculated incorrectly.
• Fixed a bug in wideToLong() that stopped it working if between-subject variables did not uniquely identify the cases.
• cohensD() now includes a formula argument in order to more closely mimic the syntax of t.test().

lsr 0.2.3

• Fixed a bug in which cramersV() was incorrectly calculated when used as a measure of effect size in a goodness of fit test.

lsr 0.2.2

• Fixed a bug with longToWide() and wideToLong() in which variable names were being treated as regular expressions.

lsr 0.2.1

• Warning statements in the help files are more explicit regarding (lack of) backwards compatibility for pre-1.0 versions of the package.
• xfun removed from package (duplicates existing functionality).

lsr 0.2

• New functions: rowCopy(), colCopy(), permuteLevels(), expandFactors(), xfun().
• etaSquared() now supports Type II and Type III sum of squares.
• Clean up of the repeated measures reshaping functions.

lsr 0.1.1

• who() now has expand = FALSE as the default.
• sortFrame() now correctly returns the original data frame when no sort terms are included.

lsr 0.1

• Initial release. Functions included: aad(), ciMean(), cohensD(), cramersV(), etaSquared(), importList(), longRM(), longToWide(), maxFreq(), modeOf(), posthocPairwiseT(), quantileCut(), rmAll(), sortFrame(), standardCoefs(), tFrame(), unlibrary(), who(), wideRM(), wideToLong(), wideToMV().