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Changelog

Source: NEWS.md

rempsyc 0.1.8

  • ✨Incoming✨

rempsyc 0.1.7.5

  • nice_table() loses its nice_table class because of a name collision with the printing method of the afex package for nice_table objects (produced with afex::nice, #26)

rempsyc 0.1.7.4

  • plot_means_over_time():
    • Now supports more than 5 groups (but shapes are not consistent after that)
    • Gains the groups.order argument, like nice_scatter(), to organize group factor levels in increasing or decreasing order.

rempsyc 0.1.7.3

  • plot_means_over_time():
    • error bar colours changed from black to group colour to ease the visual distinction of a manual addition of vertical comparison significance bars.
    • New arguments to include significance bars and stars: significance_bars_x, significance_stars, significance_stars_x, significance_stars_y

rempsyc 0.1.7.2

rempsyc 0.1.7.1

rempsyc 0.1.7

CRAN release: 2023-10-09

  • CRAN resubmission

rempsyc 0.1.6.2

  • nice_table:
    • now converts sigma to its unicode counterpart (“3C3”)
    • “z” and “Z” are now formatted to two digits instead of zero digits to comply with the Wald Z statistics in SEM (with lavaan and lavaanExtra)
    • now supports conversion of “CI_lower_B” and “CI_upper_B” columns to “95% CI (b*)“.
    • nice_t_test: argument warning becomes verbose to align with other packages.

rempsyc 0.1.6.1

  • Breaking news: APA 7th edition actually advises against using beta to represent standardized coefficients, but suggests instead to use a lowercase italic b followed by an asterisk: b*. rempsyc will follow this APA recommendation going forward.

rempsyc 0.1.6

CRAN release: 2023-09-13

  • CRAN submission

rempsyc 0.1.5.2

  • nice_varplot: removed redundant legend

rempsyc 0.1.5.1

  • nice_slopes and nice_mod:
    • Corrected bug when the data argument contained character variables when checking whether variables were standardized.

rempsyc 0.1.5

CRAN release: 2023-08-19

  • CRAN submission

rempsyc 0.1.4.1

  • nice_table:
    • Now automatically attempts to convert objects (e.g., emmGrid) to a dataframe so save users some headache.
    • Now automatically converts column name “t.ratio” to “t”.
  • get_dep_version: various improvements, now more robust

rempsyc 0.1.4

CRAN release: 2023-07-20

  • CRAN submission

rempsyc 0.1.3.5

  • nice_table: fix bug when providing a table of more than one report::report object made from Wilcoxon tests.

rempsyc 0.1.3.4

  • nice_lm_contrasts and nice_contrasts: Code simplified and now supports more than 3 groups, through easystats’ modelbased package.

rempsyc 0.1.3.3

  • nice_assumptions: p values from shapiro.test() are defined only for vectors of length between 3 and 5000 and was thus throwing an error in these cases. nice_assumptions now checks for the sample size and returns NA for samples outside this range (#17, @sjewo).

rempsyc 0.1.3.2

  • New functions:
    • install_if_not_installed: will only install specified packages if they are not installed.
    • get_dep_version: checks the required version of a specific package dependency by looking at the specified package’s DESCRIPTION file directly.
  • best_duplicate: now supports the keep.rows argument, to add a column containing the original rows.
  • overlap_circle: now support two other scoring methods: “percentage” (1 to 100), and “direct” (must provide the three values from circle 1, overlapping area, and circle 2).

rempsyc 0.1.3.1

  • Added tests for all functions
  • Accordingly, updated code to stop using deprecated functions from other packages (dplyr and ggplot2).

rempsyc 0.1.3

CRAN release: 2023-06-20

  • CRAN resubmission

rempsyc 0.1.2.5

  • Fixed bug with check_installed where required package version were not being specified correctly.
  • A way to install all dependencies at once are now provided in the README file.
  • Contribution Guidelines are now available.

rempsyc 0.1.2.4

  • nice_scatter: groups.order now also allows automatic grouping based on value for the response variable (one of the desired levels, “increasing”, “decreasing”, or “string.length”), for consistency with nice_violin.
  • nice_violin: order.groups argument renames to groups.order for consistency with nice_scatter.

rempsyc 0.1.2.3

  • nice_scatter:
    • fix bug whereas the group legend was lost even when using has.legend = TRUE.
    • has.legend now defaults to TRUE when using the group argument.
    • New argument method, with choices "lm" (default) or "loess".

rempsyc 0.1.2.2

  • nice_violin:
    • For argument obs, there are two new choices: "dotplot" (same as obs = TRUE for backward compatibility) and "jitter", useful when there are a lot of observations.
    • Add new argument order.groups, to order the group factor levels based on value of the “response” variable, or on the string lengths for the group names (factor levels). Defaults to “none” to avoid changing previous behaviour.
    • Add new argument xlabels.angle, to tilt the labels of the x-axis (useful when working with long string names).

rempsyc 0.1.2.1

  • nice_table: Correct beta rounding.

rempsyc 0.1.2

CRAN release: 2023-05-20

  • CRAN resubmission
  • nice_table: Readd leading zero for beta.

rempsyc 0.1.1.9

  • nice_table:
    • Now capitalize fit indices for a better integration with package {lavaanExtra}.
    • Simplification of internal coding and column formatting, e.g., columns names close equivalents, such as "pvalue" and "p.value", are now automatically converted to "p" (similar for others such as "chisq" to "chi2", conf.low and CI_low to CI_lower, etc.), for proper formatting.

rempsyc 0.1.1.8

  • nice_table: It was requested that the leading zero be omitted for beta values (since it rarely goes beyond 1), so that is now the case (although note that in some edge cases it can go beyond 1, but that may indicate other problems with the model, such as high multicollinearity).

rempsyc 0.1.1.7

  • format_r: will now convert NA values to “” instead of “NA”; this is useful when using the col.format.r argument in nice_table for correlation matrices.
  • nice_table: CFI, TLI, RMSEA, and SRMR now omit the leading zero as they usually cannot be greater than one.

rempsyc 0.1.1.6

  • Fix bug when checking column names (all functions).
  • Fix bug in nice_violin to accept NULL group argument again (similar to problem corrected in version 0.1.1.4). Also changed the order of argument, with response second, and group third, since group becomes optional (as consistent with other similar functions).
  • Fix a bug in citation("rempsyc").

rempsyc 0.1.1.5

  • nice_lm and nice_lm_slopes: better error messages if the wrong object type is provided.

rempsyc 0.1.1.4

  • Fix a newly introduced bug whereas nice_normality, nice_density, and nice_qq would not work without a group argument.

rempsyc 0.1.1.3

  • nice_table and format_p: Now support the logical stars argument to add significance stars (defaults to TRUE for nice_table but FALSE for format_p).

rempsyc 0.1.1.2

  • nice_table: It was pointed out that, in order to align with APA rules regarding tables, the first column should not be centered, but left-aligned. This has been corrected.
  • nice_lm and nice_lm_slopes: Now attempt to automatically detect whether the variables were standardized, and if so, sets b.label = "B" automatically.
  • nice_lm, nice_lm_slopes, nice_mod and nice_slopes: argument b.label becomes deprecated in favour of the new standardize argument, which defaults to FALSE for the first two (as this is most likely the desired result) and TRUE for the last two (because models are probably already specified as desired, so we do not want to refit them unless required).

rempsyc 0.1.1.1

  • Now produces clearer error messages when specifying columns that don’t exist, across all functions.
  • sr2 function is now removed.

rempsyc 0.1.1

CRAN release: 2023-02-06

  • CRAN resubmission!

rempsyc 0.1.0.9

  • nice_assumptions: now supports list objects, and does not print the interpretation message anymore since it is available from the documentation.
  • nice_var: now supports list objects.

rempsyc 0.1.0.8

  • nice_violin and nice_contrasts: Now correctly handle missing values.
  • New function! nice_lm_contrasts, to handle more complex contrast models involving e.g., interactions between variables (similar to nice_contrasts).

rempsyc 0.1.0.7

  • nice_table:
    • footnote argument is renamed to simply note since this is what it is called in APA table language.
    • Fixed a bug whereas the note/footnote added an extra empty invisible row at the end.
    • Reduced cyclomatic complexity internally (swapped if statements for functions) dramatically (from 85 to 2).
  • nice_contrasts
    • Default effect size changed to regular Cohen’s d, and the robust Cohen’s d (and other effects) can now be specified with the effect.type argument.

rempsyc 0.1.0.6

  • Following easystats’s policy of minimal reliance on external dependencies, we attempt to once again change a few more packages from hard to soft dependencies: flextable, effectsize, performance, insight, and methods. So we are left only with the basic blocks for coding: dplyr and rlang. For flextable, this is a breaking change for saving tables, since we now need to specify flextable::save_as_docx. However, this change makes sense because (1) we used flextable for only one function, (2) some users rely on rempsyc for plots and don’t use tables, (3) this is consistent with how we are saving ggplot2 plots already, and (4) it also gives credit to the flextable package, as this is the powerhouse that produces the tables under the hood.
  • nice_violin now provides more informative error messages if the response or group variables are misspelled.

rempsyc 0.1.0.5

  • nice_lm, nice_mod, nice_lm_slopes, and nice_slopes now use “two.sided” as alternative for the sr2 effect size confidence interval, to facilitate interpretation and in accordance with current norms in psychology.

rempsyc 0.1.0.4

  • Since easystats added a new function to calculate the sr2, effectsize::r2_semipartial, rempsyc now relies on that function. First, it has the advantage of also providing a confidence interval for the sr2. Second, it also fixes a bug when using factors in lm models that was introduced when switching from car::Anova to manual calculation via the formula interface.
  • Accordingly, rempsyc::sr2 becomes deprecated and will be removed completely in the next major version, please use effectsize::r2_semipartial.
  • nice_mod and nice_lm_slopes now use nice_lm internally to reduce code redundancy and shorten the code base (and nice_slopes uses nice_lm_slopes internally).
  • To align with other package dependencies, rempsyc now requires R >= 3.6
  • nice_reverse loses its warning parameter, as the warning seems unnecessary (and annoying to some), given all relevant information is available from the documentation.

rempsyc 0.1.0.3

  • nice_table now only keeps the first occurrence of repeated (duplicated) dependent variables, and merges (and centers). Only works for a column called “Dependent Variables”. For columns named “Predictor” and “Term”, now also converts colons “:” to the multiplication symbol, “×”.
  • outliers_plot changes name to plot_outliers, to be consistent with the verb naming approach.

rempsyc 0.1.0.2

  • nice_varplot and nice_var: Now ignores missing values when calculating variance.

rempsyc 0.1.0.1

  • New function to visualize outliers: outliers_plot, which generates a violin scatter plot (dot plot) and adds lines for +/- 3 MAD (or SD, based on selected method). Importantly, supports plotting by group.
  • nice_violin: at some point in time, it supported a single group (or no group), but this feature was lost at some point. It is now back.

rempsyc 0.1.0

CRAN release: 2022-11-01

  • CRAN resubmission!

rempsyc 0.0.9.9

  • nice_contrasts: corrects a bug whereas the effect sizes appeared in the wrong order.

rempsyc 0.0.9.8

  • nice_violin gets some love after receiving its first citation (Jensen & Westergaard, 2022; https://doi.org/10.1111/lang.12525; yeah!!). It now defaults to not using bootstrapping per default, so it now needs to be requested explicitly. The bootstrapping method (BCa) is now specified in the documentation, and it is also clarified that the bootstrapping only applies to the confidence interval (not e.g., the mean). Underlying code is also simplified. Finally, a bug is fixed whereas the function used bootstrapping even when boot was set to FALSE.

rempsyc 0.0.9.7

  • We move ggplot2 from a hard (imported) dependency to a soft (suggested) one, since many people seem to be using nice_table over the plotting features. And given the recent isoband CRAN dependency events.

rempsyc 0.0.9.6

  • We get rid of car_Anova and lmsupport_modeleffectsizes and now compute the sr2 ourselves! With the help of our friends insight and performance.

rempsyc 0.0.9.5

  • rempsyc gets lighter, as we get rid of the rather large car package dependency (by incorporating the single function we were using, Anova), and move other packages (boot, lmtest, ggrepel, ggsignif, and qqplotr) from required to suggested packages.

rempsyc 0.0.9.4

  • nice_table: automatic formatting (of p-values, confidence intervals, etc.) now supports more than two levels of headers (with the separate.header argument).

rempsyc 0.0.9.3

  • Now that openxlsx2 is on CRAN, cormatrix_excel2 replaces cormatrix_excel (and rempsyc package does not rely on an external GitHub dependency anymore, yeah!).

rempsyc 0.0.9.2

  • nice_table: Multilevel headings, with the separate.header argument, now supports automatic formatting (of p-values, confidence intervals, etc.).

rempsyc 0.0.9.1

  • nice_table:
    • fixed sr2 incorrectly showing leading zero.
    • new argument: col.format.ci, to format confidence intervals (accepts lists of lower and upper thresholds)
  • find_mad and nice_assumptions: fixed printing method

rempsyc 0.0.9

CRAN release: 2022-09-26

  • CRAN resubmission!

rempsyc 0.0.8.2

  • nice_var: now returns a dataframe instead of a tibble
  • Updated docs: all functions now have value/return fields describing the function’s output.
  • cormatrix_excel and cormatrix_excel2: now require an explicit file name, as per CRAN policies.

rempsyc 0.0.8.1

  • New function: extract_duplicates, to extract all duplicates (including first one) for closer inspection
  • New function: best_duplicate, to keep only the best duplicate based on the number of missing values
  • nice_na: all_na output column now also counts non-numeric variables

rempsyc 0.0.8

  • CRAN resubmission!

rempsyc 0.0.7

  • First CRAN submission!
  • This requires bumping the package version to 2 decimals only.

rempsyc 0.0.6.6

  • Preparing for CRAN submission.

rempsyc 0.0.6.5

  • nice_normality: breaks.auto argument now uses na.rm = TRUE to support missing values

rempsyc 0.0.6.4

  • nice_normality: breaks.auto argument added to allow control of the density plot in this aspect.

rempsyc 0.0.6.3

  • nice_density: Switch back to not using the Sturges method per default.
  • nice_table: Internal change to stay compatible with new flextable version

rempsyc 0.0.6.2

  • nice_density: Now uses na.rm = TRUE internally to support data with missing values.

rempsyc 0.0.6.1

  • find_mad: New argument mad.scores to return robust zscore (MAD) scores instead of raw scores (now default to TRUE).

rempsyc 0.0.6

  • nice_density: Now uses the Sturges method to define the optimal number of bins automatically. Also adds two new arguments: breaks.auto = TRUE, if one does not want to use the Sturges method, and bins = 30, to define bins manually, if needed.

rempsyc 0.0.5.9

  • cormatrix_excel2: Added a third (sixth) colour for one star significances (* = p < .05), and add an argument for printing the correlation matrix to the console too (or not), print.mat.

rempsyc 0.0.5.8

  • nice_table: Added chi2 automatic formatting (+ chi2.df formatting)

rempsyc 0.0.5.7

  • nice_na: integrated a feature request to include the number of rows that were all NAs.

rempsyc 0.0.5.6

  • New function: cormatrix_excel2: a new version of cormatrix_excel relying on the openxlsx2 package and that allows incorporating significance stars along the correlation matrix, as well as a second sheet containing the matrix of p-values. Experimental until openxlsx2 reaches CRAN.

rempsyc 0.0.5.5

  • Fixed nice_randomize as it had been outputting the wrong output format for within-subject designs when moving from plyr to dplyr (+ updated runsheet tutorial).
  • nice_table: changed back from layout = "fixed" to layout = "autofit" now that flextable fixed the unnecessary line breaks for confidence intervals

rempsyc 0.0.5.4

  • cormatrix_excel: corrected values for small, medium, large correlations (from 0.0-0.3: small; 0.3-0.6: medium; 0.6-1.0: large to 0.0-0.2: small; 0.2-0.4: medium; 0.4-1.0: large).

rempsyc 0.0.5.3

  • Corrected spelling of all code with devtools::spell_check()
  • Restyled all code according to the tidyverse guidelines with styler::style_pkg()
  • nice_table: greatly improved APA title feature thanks to @Buedenbender (and shout-out to his package datscience and function flex_table1 on which this improvement was based!)

rempsyc 0.0.5.2

rempsyc 0.0.5.1

  • New package site, hooray!
  • cormatrix_excel:
    • Changed default method of base cor function from “na.or.complete” to the most liberal one to match SPSS: “pairwise.complete.obs”.
    • Added a use argument to specify which one to use in case a user wants a different option.
  • nice_table:
    • Automatized integration with the report package so we don’t have to specify the e.g. report = "lm" argument manually.
    • Added optional arguments for table title and footnote.
  • Many functions (based on goodpractice package recommendations):
    • Changed sapply for lapply since sapply is not recommended and using vapply with list outputs was too complicated.
    • Shortened line codes to < 80 characters.
    • Replaced 1:length(…) or 1:nrow(…) by seq_along(…).

rempsyc 0.0.5

  • nice_na: added scales argument to specify specific scales

rempsyc 0.0.4.9

  • New function: nice_NA; nicely reports NA values according to existing guidelines. This function reports both absolute and percentage values of specified column lists.

rempsyc 0.0.4.8

  • nice_density and nice_normality: added the possibility to provide no group argument so as to have a plot of all data.

rempsyc 0.0.4.7

  • nice_violin: made default contour lines thicker, but also added argument border.size to allow customization.

rempsyc 0.0.4.6

  • nice_violin: Corrected a bug whereas the Cohen’s d wasn’t added to the plot if manual annotation (as opposed to automatic) comparisons were made. Also, the default test used in geom_signif::geom_signif() was the Wilcox test. It has been changed to the t-test to avoid confusion when results mismatch. Finally, the contour lines were made thicker since at high resolution they appeared too thin.
  • New function: format_d to format d values as e.g., 0.30 instead of 0.3 e.g., on violin plots.

rempsyc 0.0.4.5

  • nice_violin: Added the ability to add the Cohen’s d to the plot

rempsyc 0.0.4.4

  • find_mad: improved reporting of ID and row number

rempsyc 0.0.4.3

  • nice_table: changed default table width (again)

rempsyc 0.0.4.2

  • nice_table: changed default table width

rempsyc 0.0.4.1

  • find_mad: corrected a bug whereas having a dataframe with no outliers in certain situations generated an error

rempsyc 0.0.4

  • nice_density and nice_normality: added the histogram option to add an histogram to the density plot.

rempsyc 0.0.3.9

  • Created an internal ggplot2 APA “theme” to avoid code redundancy across plots

rempsyc 0.0.3.8

  • nice_table: greatly improved underlying code: more clarity (dplyr) and less repetition (with added internal functions)

rempsyc 0.0.3.7

  • nice_violin: reverted theme to original default (alpha = 1 and black border) from modified theme some time ago (alpha = .70, white border). Users wishing to keep the original style can simply specify these options in their script.

rempsyc 0.0.3.6

  • New function: nice_contrasts for planned contrasts (multiple group pairwise comparisons)

rempsyc 0.0.3.5

  • nice_t_test: Fixed mu value for one-sample t-test

rempsyc 0.0.3.4

rempsyc 0.0.3.3

  • find_mad: Now only prints individual variables that do have outliers. However, it now lists all variables checked at the top to avoid possible confusion.
  • Also reformatted arguments vertically instead of horizontally within functions for clarity (doesn’t affect users or documentation proper).

rempsyc 0.0.3.2

  • nice_t_test: Added support for one-sample t-test.

rempsyc 0.0.3.1

  • new functions for the median absolute deviation (MAD): find_mad to find outliers based on the MAD, scale_mad to scale (standardize) data based on the MAD, and winsorize_mad to winsorize (bring outliers in +/3 SD) based on the MAD.

rempsyc 0.0.3

  • nice_table: brought a correction to the automatic 95% CI so that when numbers are rounded to 0, the zeros still show (e.g., 0.20 instead of 0.2).

rempsyc 0.0.2.9

  • nice_normality: improved implementation of the title argument
  • nice_table: added N as italic in header

rempsyc 0.0.2.8

  • nice_table
    • integration with broom package: moved columns Method and Alternative to beginning for consistency with treatment of the report package.
    • Fixed appropriate decimals display for degrees of freedom with actual decimals (e.g., for Welch t-test).
  • nice_t_test: Added optional Bonferroni correction argument (and other corrections if possible). Other corrections to be implemented in the future.

rempsyc 0.0.2.7

  • nice_t_test: changed from package effsize to effectsize for effect size because the Cohen’s d value for paired samples wasn’t consistent with other packages.

rempsyc 0.0.2.6

  • Integration with report package: combined CI_low and CI_high for method t.test (just like for method lm)
  • Added an optional short argument to get a more concise table output from the report package integration

rempsyc 0.0.2.5

  • Fixed a slight model number mix-up in nice_slopes.

rempsyc 0.0.2.4

  • Added support for paired t-tests (only adaptation of Cohen’s d was necessary) and updated documentation to give multiple examples of t-test customization.

rempsyc 0.0.2.3

  • Added warning to nice_t_test informing users about the Welch t-test being used per default (through base R t.test’s default) and how to change it. Also added option to turn off this warning.

rempsyc 0.0.2.2

  • new function: nice_lm to format any existing lm model object in a proper format for nice_table, including sr2
  • new function: nice_lm_slopes to format simple slopes for any existing lm model object in a proper format for nice_table, including sr2
  • nice_mod and nice_slopes:
    • Added model number when more then one model.
    • Also added an optional mod.id = TRUE argument, to display the model number, when there is more than one model.
    • Also reordered default order of rows when there is a second moderator present as it makes more sense to group the same models completely together for different levels of the second moderator.
    • By combining the row names within the list object rather than in the combined dataframe, we also don’t have to worry about changing names, etc. anymore. Thus it is now cleaner and not missing with variable names.

rempsyc 0.0.2.1

  • nice_mod and nice_slopes: Added an argument b.label to rename b, e.g., to capital B if using standardized data for it to be converted to the Greek beta symbol automatically in the nice_table function.

rempsyc 0.0.2

  • nice_mod and nice_slopes: Corrected a bug whereas having column names with periods would cut off the variable names before the dots because of the automatic correction of the interaction term row names which contain periods as well.

rempsyc 0.0.1.9

  • Added a NEWS.md file to track changes to the package.
  • Improved report package integration with nice_table

rempsyc 0.0.1.8

  • Moved some packages to suggest with rlang::check_installed. Make the package lighter.
  • Added compatibility of nice_table with the report package

rempsyc 0.0.1.7

  • nice_table: changed argument name dataframe for data for consistency.

rempsyc 0.0.1.6

  • Added compatibility of nice_table with the broom package
  • nice_randomize: sorted ‘within’ group by id (as it should have always been)
  • Realized that trying to have tidy selection and not having to quote arguments creates problems for vectorization. So we are back to quoted arguments on nice_scatter and nice_varplot.
  • Integrated format_p internally in the other functions
  • nice_scatter and nice_varplot: now allow to directly provide the group argument without having to convert to factor manually. Also allow to remove line to just keep points.
  • Added jitter to varplot function

rempsyc 0.0.1.5

  • Added criteria argument to nice_var to specify the desired threshold. Also moved data argument first for pipe compatibility.
  • Significant overhaul to functions, such as changes of argument names order.

rempsyc 0.0.1.4

  • new function: nice_normality

rempsyc 0.0.1.3

  • added new function: format_values
  • Added new function: cormatrix_excel
  • Fixed the geom_smooth() using formula 'y ~ x'" warning in nice_scatter() error
  • removed row names from nice_t_test
  • added width argument to nice_table

rempsyc 0.0.1.2

  • removed dependency on plyr

rempsyc 0.0.1.1

rempsyc 0.0.1

  • integrated rcompanion::groupwiseMean internally with documentation
  • removed lmSupport_modelEffectSizes from exports to use as internal function only
  • removed crayon package dependency