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nice_t_test: add temporary workaround for paired
t-tests failing (#28)nice_table() gains a new argument: spacing
(defaults to double space = 2, but can be set to 1 for single
spacing)nice_lm() fix a bug with nice_lm() which
doesn’t work with lm models containing a single term (#27)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)plot_means_over_time():
groups.order argument, like
nice_scatter(), to organize group factor levels in
increasing or decreasing order.plot_means_over_time():
significance_bars_x, significance_stars,
significance_stars_x,
significance_stars_ygrouped_bar_chart(), to plot categorical
data options over several groups.plot_means_over_time(), to plot group
(intervention) data over time (1, 2, 3).nice_table:
lavaan
and lavaanExtra)nice_t_test: argument warning becomes
verbose to align with other packages.rempsyc will follow this APA recommendation going
forward.nice_varplot: removed redundant legendnice_slopes and nice_mod:
data argument contained
character variables when checking whether variables were
standardized.nice_table:
emmGrid) to a dataframe so save users some headache.get_dep_version: various improvements, now more
robustnice_table: fix bug when providing a table of more than
one report::report object made from Wilcoxon tests.nice_lm_contrasts and nice_contrasts: Code
simplified and now supports more than 3 groups, through easystats’
modelbased package.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).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).dplyr and ggplot2).check_installed where required package
version were not being specified correctly.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.nice_scatter:
has.legend = TRUE.has.legend now defaults to TRUE when using
the group argument.method, with choices "lm"
(default) or "loess".nice_violin:
obs, there are two new choices:
"dotplot" (same as obs = TRUE for backward
compatibility) and "jitter", useful when there are a lot of
observations.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.xlabels.angle, to tilt the labels of
the x-axis (useful when working with long string names).nice_table: Correct beta rounding.nice_table: Readd leading zero for beta.nice_table:
"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.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).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.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).citation("rempsyc").nice_lm and nice_lm_slopes: better error
messages if the wrong object type is provided.nice_normality,
nice_density, and nice_qq would not work
without a group argument.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).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).sr2 function is now removed.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.nice_violin and nice_contrasts: Now
correctly handle missing values.nice_lm_contrasts, to handle more complex
contrast models involving e.g., interactions between variables (similar
to nice_contrasts).nice_table:
footnote argument is renamed to simply
note since this is what it is called in APA table
language.note/footnote
added an extra empty invisible row at the end.if
statements for functions) dramatically (from 85 to 2).nice_contrasts
effect.type argument.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.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.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.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).rempsyc now
requires R >= 3.6nice_reverse loses its warning parameter,
as the warning seems unnecessary (and annoying to some), given all
relevant information is available from the documentation.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.nice_varplot and nice_var: Now ignores
missing values when calculating variance.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.nice_contrasts: corrects a bug whereas the effect sizes
appeared in the wrong order.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.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.car_Anova and
lmsupport_modeleffectsizes and now compute the sr2
ourselves! With the help of our friends insight and
performance.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.nice_table: automatic formatting (of p-values,
confidence intervals, etc.) now supports more than two levels of headers
(with the separate.header argument).openxlsx2 is on CRAN,
cormatrix_excel2 replaces cormatrix_excel (and
rempsyc package does not rely on an external GitHub
dependency anymore, yeah!).nice_table: Multilevel headings, with the
separate.header argument, now supports automatic formatting
(of p-values, confidence intervals, etc.).nice_table:
col.format.ci, to format confidence
intervals (accepts lists of lower and upper thresholds)find_mad and nice_assumptions: fixed
printing methodnice_var: now returns a dataframe instead of a
tibblevalue/return fields describing the function’s
output.cormatrix_excel and cormatrix_excel2: now
require an explicit file name, as per CRAN policies.extract_duplicates, to extract all
duplicates (including first one) for closer inspectionbest_duplicate, to keep only the best
duplicate based on the number of missing valuesall_na output column now also counts
non-numeric variablesnice_normality: breaks.auto argument now
uses na.rm = TRUE to support missing valuesnice_normality: breaks.auto argument added
to allow control of the density plot in this aspect.nice_density: Switch back to not using the Sturges
method per default.nice_table: Internal change to stay compatible with new
flextable versionnice_density: Now uses na.rm = TRUE
internally to support data with missing values.find_mad: New argument mad.scores to
return robust zscore (MAD) scores instead of raw scores (now default to
TRUE).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.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.nice_table: Added chi2 automatic
formatting (+ chi2.df formatting)nice_na: integrated a feature request to include the
number of rows that were all NAs.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.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 intervalscormatrix_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).devtools::spell_check()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!)nice_table: added new argument,
separate.header, a logical (and simplified) form of the
flextable::separate_header argument.cormatrix_excel:
cor function from
“na.or.complete” to the most liberal one to match SPSS:
“pairwise.complete.obs”.use argument to specify which one to use in
case a user wants a different option.nice_table:
report package so we
don’t have to specify the e.g. report = "lm" argument
manually.goodpractice package
recommendations):
sapply for lapply since
sapply is not recommended and using vapply
with list outputs was too complicated.nice_na: added scales argument to specify specific
scalesnice_NA; nicely reports NA values
according to existing guidelines. This function reports both absolute
and percentage values of specified column lists.nice_density and nice_normality: added the
possibility to provide no group argument so as to have a plot of all
data.nice_violin: made default contour lines thicker, but
also added argument border.size to allow
customization.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.format_d to format d values as e.g.,
0.30 instead of 0.3 e.g., on violin
plots.nice_violin: Added the ability to add the Cohen’s d to
the plotfind_mad: improved reporting of ID and row numbernice_table: changed default table width (again)nice_table: changed default table widthfind_mad: corrected a bug whereas having a dataframe
with no outliers in certain situations generated an errornice_density and nice_normality: added the
histogram option to add an histogram to the density
plot.nice_table: greatly improved underlying code: more
clarity (dplyr) and less repetition (with added internal functions)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.nice_contrasts for planned contrasts
(multiple group pairwise comparisons)nice_t_test: Fixed mu value for one-sample
t-testggplot2::waiver to reexportsfind_mad: Now only prints individual variables that do
have outliers. However, it now lists all variables checked at the top to
avoid possible confusion.nice_t_test: Added support for one-sample t-test.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.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).nice_normality: improved implementation of the
title argumentnice_table: added N as italic in headernice_table
broom package: moved columns Method
and Alternative to beginning for consistency with treatment of the
report package.nice_t_test: Added optional Bonferroni correction
argument (and other corrections if possible). Other corrections to be
implemented in the future.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.report package: combined CI_low and
CI_high for method t.test (just like for method
lm)short argument to get a more concise
table output from the report package integrationnice_slopes.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.nice_lm to format any existing
lm model object in a proper format for
nice_table, including sr2nice_lm_slopes to format simple slopes
for any existing lm model object in a proper format for
nice_table, including sr2nice_mod and nice_slopes:
mod.id = TRUE argument, to
display the model number, when there is more than one model.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.NEWS.md file to track changes to the
package.report package integration with
nice_tablerlang::check_installed. Make the package lighter.nice_table with the
report packagenice_table: changed argument name
dataframe for data for consistency.nice_table with the broom
packagenice_randomize: sorted ‘within’ group by id (as it
should have always been)nice_scatter and
nice_varplot.format_p internally in the other
functionsnice_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.varplot functionnice_var to specify the
desired threshold. Also moved data argument first for pipe
compatibility.nice_normalityformat_valuescormatrix_excelgeom_smooth() using formula 'y ~ x'" warning in nice_scatter()
errornice_t_testnice_tableplyrnice_reverse()rcompanion::groupwiseMean internally with
documentationlmSupport_modelEffectSizes from exports to use
as internal function onlycrayon package dependencyThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.