rempsyc 0.1.x
- Incoming!
rempsyc 0.1.1.3
-
nice_tableandformat_p: Now support the logicalstarsargument to add significance stars (defaults toTRUEfornice_tablebutFALSEforformat_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_lmandnice_lm_slopes: Now attempt to automatically detect whether the variables were standardized, and if so, setsb.label = "B"automatically. -
nice_lm,nice_lm_slopes,nice_modandnice_slopes: argumentb.labelbecomes deprecated in favour of the newstandardizeargument, which defaults toFALSEfor the first two (as this is most likely the desired result) andTRUEfor 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
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_violinandnice_contrasts: Now correctly handle missing values. - New function!
nice_lm_contrasts, to handle more complex contrast models involving e.g., interactions between variables (similar tonice_contrasts).
rempsyc 0.1.0.7
-
nice_table:-
footnoteargument is renamed to simplynotesince this is what it is called in APA table language. - Fixed a bug whereas the
note/footnoteadded an extra empty invisible row at the end. - Reduced cyclomatic complexity internally (swapped
ifstatements 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.typeargument.
- Default effect size changed to regular Cohen’s d, and the robust Cohen’s d (and other effects) can now be specified with the
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, andmethods. So we are left only with the basic blocks for coding:dplyrandrlang. Forflextable, this is a breaking change for saving tables, since we now need to specifyflextable::save_as_docx. However, this change makes sense because (1) we usedflextablefor only one function, (2) some users rely onrempsycfor plots and don’t use tables, (3) this is consistent with how we are savingggplot2plots already, and (4) it also gives credit to theflextablepackage, as this is the powerhouse that produces the tables under the hood. -
nice_violinnow 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, andnice_slopesnow 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
easystatsadded a new function to calculate the sr2,effectsize::r2_semipartial,rempsycnow 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 inlmmodels that was introduced when switching fromcar::Anovato manual calculation via the formula interface. - Accordingly,
rempsyc::sr2becomes deprecated and will be removed completely in the next major version, please useeffectsize::r2_semipartial. -
nice_modandnice_lm_slopesnow usenice_lminternally to reduce code redundancy and shorten the code base (andnice_slopesusesnice_lm_slopesinternally). - To align with other package dependencies,
rempsycnow requiresR >= 3.6 -
nice_reverseloses itswarningparameter, as the warning seems unnecessary (and annoying to some), given all relevant information is available from the documentation.
rempsyc 0.1.0.3
-
nice_tablenow 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_plotchanges name toplot_outliers, to be consistent with the verb naming approach.
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_violingets 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 whenbootwas set toFALSE.
rempsyc 0.0.9.7
- We move
ggplot2from a hard (imported) dependency to a soft (suggested) one, since many people seem to be usingnice_tableover the plotting features. And given the recentisobandCRAN dependency events.
rempsyc 0.0.9.6
- We get rid of
car_Anovaandlmsupport_modeleffectsizesand now compute the sr2 ourselves! With the help of our friendsinsightandperformance.
rempsyc 0.0.9.5
-
rempsycgets lighter, as we get rid of the rather largecarpackage dependency (by incorporating the single function we were using,Anova), and move other packages (boot,lmtest,ggrepel,ggsignif, andqqplotr) 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 theseparate.headerargument).
rempsyc 0.0.9.3
- Now that
openxlsx2is on CRAN,cormatrix_excel2replacescormatrix_excel(andrempsycpackage does not rely on an external GitHub dependency anymore, yeah!).
rempsyc 0.0.9
CRAN release: 2022-09-26
- CRAN resubmission!
rempsyc 0.0.7
- First CRAN submission!
- This requires bumping the package version to 2 decimals only.
rempsyc 0.0.6.5
-
nice_normality:breaks.autoargument now usesna.rm = TRUEto support missing values
rempsyc 0.0.6.4
-
nice_normality:breaks.autoargument added to allow control of the density plot in this aspect.
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, andbins = 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 0.0.5.7
-
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 ofcormatrix_excelrelying on theopenxlsx2package and that allows incorporating significance stars along the correlation matrix, as well as a second sheet containing the matrix of p-values. Experimental untilopenxlsx2reaches CRAN.
rempsyc 0.0.5.5
- Fixed
nice_randomizeas 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 fromlayout = "fixed"tolayout = "autofit"now thatflextablefixed 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
-
nice_table: added new argument,separate.header, a logical (and simplified) form of theflextable::separate_headerargument.
rempsyc 0.0.5.1
- New package site, hooray!
-
cormatrix_excel:- Changed default method of base
corfunction from “na.or.complete” to the most liberal one to match SPSS: “pairwise.complete.obs”. - Added a
useargument to specify which one to use in case a user wants a different option.
- Changed default method of base
-
nice_table:- Automatized integration with the
reportpackage so we don’t have to specify the e.g.report = "lm"argument manually. - Added optional arguments for table title and footnote.
- Automatized integration with the
- Many functions (based on
goodpracticepackage recommendations):- Changed
sapplyforlapplysincesapplyis not recommended and usingvapplywith list outputs was too complicated. - Shortened line codes to < 80 characters.
- Replaced 1:length(…) or 1:nrow(…) by seq_along(…).
- Changed
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_densityandnice_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 argumentborder.sizeto 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 ingeom_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_dto format d values as e.g.,0.30instead of0.3e.g., on violin plots.
rempsyc 0.0.4
-
nice_densityandnice_normality: added thehistogramoption to add an histogram to the density plot.
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_contrastsfor planned contrasts (multiple group pairwise comparisons)
rempsyc 0.0.3.4
- Added
ggplot2::waiverto reexports - Added table of content to readme
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
-
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 thetitleargument -
nice_table: added N as italic in header
rempsyc 0.0.2.8
-
nice_table- integration with
broompackage: moved columns Method and Alternative to beginning for consistency with treatment of thereportpackage. - Fixed appropriate decimals display for degrees of freedom with actual decimals (e.g., for Welch t-test).
- integration with
-
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 packageeffsizetoeffectsizefor effect size because the Cohen’s d value for paired samples wasn’t consistent with other packages.
rempsyc 0.0.2.6
- Integration with
reportpackage: combined CI_low and CI_high for methodt.test(just like for methodlm) - Added an optional
shortargument to get a more concise table output from thereportpackage integration
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_testinforming users about the Welch t-test being used per default (through base Rt.test’s default) and how to change it. Also added option to turn off this warning.
rempsyc 0.0.2.2
- new function:
nice_lmto format any existinglmmodel object in a proper format fornice_table, including sr2 - new function:
nice_lm_slopesto format simple slopes for any existinglmmodel object in a proper format fornice_table, including sr2 -
nice_modandnice_slopes:- Added model number when more then one model.
- Also added an optional
mod.id = TRUEargument, 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
- 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.mdfile to track changes to the package. - Improved
reportpackage integration withnice_table
rempsyc 0.0.1.8
- Moved some packages to suggest with
rlang::check_installed. Make the package lighter. - Added compatibility of
nice_tablewith thereportpackage
rempsyc 0.0.1.6
- Added compatibility of
nice_tablewith 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_scatterandnice_varplot. - Integrated
format_pinternally in the other functions -
nice_scatterandnice_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
varplotfunction
rempsyc 0.0.1.5
- Added criteria argument to
nice_varto specify the desired threshold. Also moved data argument first for pipe compatibility. - Significant overhaul to functions, such as changes of argument names order.
rempsyc 0.0.1.3
- 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 0.0.1.1
- added new function:
nice_reverse()
rempsyc 0.0.1
- integrated
rcompanion::groupwiseMeaninternally with documentation - removed
lmSupport_modelEffectSizesfrom exports to use as internal function only - removed
crayonpackage dependency
