NEWS.md
BUG FIXES
ggwithinstats
caption, displayed by default, was incorrect. This has been fixed. This stemmed from a line of code which should have been paired = TRUE
, but was instead paired = FALSE
.MAJOR CHANGES
MINOR CHANGES
ggcoefstats
defaults to bf.message = TRUE
to be consistent with the rest of the functions in the package.ggcoefstats
supports the following class of objects: epi.2by2
, negbin
, emmGrid
, lmrob
, glmrob
, glmmPQL
, data.table
.bf_ttest
is introduced as a general function. The previously exported bf_one_sample_ttest
and bf_two_sample_ttest
become its aliases.bf_meta_message
syntax changes to adapt to updates made to metaBMA
package (thanks to #259).BREAKING CHANGES
axis.text.x.margin.t
, axis.text.x.margin.r
, axis.text.x.margin.b
, axis.text.x.margin.l
for ggcorrmat
have been removed. The margins can be adjusted using ggplot2::margin()
.gghistostats
no longer allows data
argument to be NULL
. This is to make this function’s syntax consistent with rest of the functions in this package (none of which allow data
to be NULL
). This also removes confusion that arose for some users when data
couldn’t be NULL
for its grouped_
cousin (grouped_gghistostats
).outlier_df
function is no longer exported since it was always meant to be an internal function and was accidently exported during initial release and was retained for a while for backward compatibility.BREAKING CHANGES
subtitle_friedman_nonparametric
) and between-subjects (subtitle_kw_nonparametric
), a single function subtitle_anova_nonparametric
handles both of these designs with the paired
argument determining which test is run.type = "bf"
) will only return BF value and the scale used. Previously, this was a mix of parametric statistics and BF, which was confusing and often times misleading since these two types of analyses relied on different tests.bf.message
has been changed from FALSE
to TRUE
. This is to make the Bayes Factor analysis more visible to the user.MAJOR CHANGES
ggscatterstats
returns only plot (without any statistical details) when the specified model is not linear (i.e., either when method
argument is not "lm"
or when formula
is not y ~ x
).NEW FEATURES
ggwithinstats
(and its grouped_
variant) are introduced as a counterpart to ggbetweenstats
to handle repeated measures designs.subtitle_anova_nonparametric
now returns confidence intervals for Kendall’s W.return
argument that can be used to return either "plot"
, "subtitle"
, or "caption"
. This makes it unnecessary to remember which subtitle function is to be used where. As a result, in the next release, all subtitle making functions will not be exported and are encouraged not be used either by other developers or by users.subtitle_anova_robust
and subtitle_anova_parametric
gain a new argument paired
to support repeated measures designs.ggcoefstats
can support following new model objects: drc
, mlm
.ggcoefstats
gains bf.message
argument to display a caption containing results from Bayesian random-effects meta-analysis. It therefore gains a new dependency: metaBMA
.ggpiestats
and ggcatstats
will now display Cramer’s V as effect size for one-sample proportion tests.stat.title
argument (NULL
by default) that can be used to prefix the subtitle with a string of interest. This is possibly useful for specifying the details of the statistical test.MINOR CHANGES
pairwise_p()
function no longer outputs conf.low
and conf.high
columns when parametric post hoc tests are run. This is because these values were accurate only when no p-value adjustment was carried out.cor_test_ci
, ggscatterstats
instead used SpearmanRho
function from DescTools
package. This was done to reduce number of custom internal functions used to compute CIs for various effect sizes. ggstatsplot
therefore gains DescTools
as a dependency.sampling.plan
argument default for ggbarstats
function has been changed from "indepMulti"
to "jointMulti"
to be consistent with its sister function ggpiestats
.NEW FEATURES
ggcoefstats
can support following new model objects: rjags
.VR_dilemma
dataset for toying around with within-subjects design.subtitle_t_onesample
supports both Cohen’s d and Hedge’s g as effect sizes and also produces their confidence intervals. Additionally, non-central variants of these effect sizes are also supported. Thus, gghistostats
and its grouped_
variant gets two new arguments: effsize.type
, effsize.noncentral
.ggpiestats
used to display odds ratio as effect size for paired designs (McNemar test). But this was only working when the analysis was a 2 x 2 contingency table. It now instead displays Cohen’s G as effect size, which generalizes to any kind of design.MINOR CHANGES
outlier_df
to add a column specifying outlier status of any given data point is now exported.ggstatsplot
previously relied on an internal function chisq_v_ci
to compute confidence intervals for Cramer’s V using bootstrapping but it was pretty slow. It now instead relies on rcompanion
package to compute confidence intervals for V. ggstatsplot
, therefore, gains a new dependency.subtitle_mann_nonparametric
and subtitle_t_onesample
now computes effect size r and its confidence intervals as $Z/\sqrt{N}$ (with the help of rcompanion
package), instead of using Spearman correlation.BREAKING CHANGES
subtitle_t_onesample
no longer has data
as the optional argument. This was done to be consistent with other subtitle helper functions.NEW FEATURES
ggbarstats
(and its grouped_
variant) introduced for making bar charts (thanks to #78).ggcoefstats
also displays a caption with model summary when meta-analysis is required.gghistostats
and its grouped_
variant has a new argument normal.curve
to superpose a normal distribution curve on top of the histogram (#138).ggcoefstats
can support following new regression model objects: brmsfit
, gam
, Gam
, gamlss
, mcmc
, mjoint
, stanreg
.gg
/ggplot
class to ggplot
class objects.effsize
to compute Cohen’s d and Hedge’s g, ggstatsplot
now relies on a new (#159) internal function effect_t_parametric
to compute them. This removes effsize
from dependencies.ggbarstats
and ggpiestats
gain results.subtitle
which can be set to FALSE
if statistical analysis is not required, in which case subtitle
argument can be used to provide alternative subtitle.MAJOR CHANGES
ggbetweenstats
now defaults to using noncentral-t distribution for computing Cohen’s d and Hedge’s g. To get variants with central-t distribution, use effsize.noncentral = FALSE
.MINOR CHANGES
grouped_
functions had argument title.prefix
that defaulted to "Group"
. It now instead defaults to NULL
, in which case the prefix will variable name for grouping.var
argument.subtitle_template
function can now work with parameter = NULL
.ggbetweenstats
, details contained in the subtitle for non-parametric test are modified. It now uses Spearman’s rho-based effect size estimates. This removes coin
from dependencies.ggbetweenstats
and its grouped_
variant gain a new argument axes.range.restrict
(which defaults to FALSE
). This restricts y
-axes limits to minimum and maximum of y
variable. This is what these functions were doing by default in the past versions, which created issues for additional ggplot components using the ggplot.component
argument.prior.width
with r_{Cauchy}
.ggcoefstats
passes dots (...
) to augment
method from broom
.BUG FIXES
bf_extractor
no longer provides option to extract information about posterior distribution because these details were incorrect. The posterior = TRUE
details were not used anywhere in the package so nothing about the results changes.ggcorrmat
didn’t output pair names when output == "ci"
was used. This is fixed.NEW FEATURES
ggcoefstats
gains meta.analytic.effect
that can be used to carry out meta-analysis on regression estimates. This especially useful when a dataframe with regression estimates and standard error is available from prior analyses. The subtitle
is prepared with the new function subtitle_meta_ggcoefstats
which is also exported.ggbetweenstats
, ggscatterstats
, gghistostats
, and ggdotplotstats
(and their grouped_
variants) all gain a new ggplot.component
argument. This argument will primarily be helpful to change the individual plots in a grouped_
plot.ggcoefstats
can support following new regression model objects: polr
, survreg
, cch
, Arima
, biglm
, glmmTMB
, coxph
, ridgelm
, aareg
, plm
, nlrq
, ivreg
, ergm
, btergm
, garch
, gmm
, lmodel2
, svyolr
, confusionMatrix
, multinom
, nlmerMod
, svyglm
, MCMCglmm
, lm.beta
, speedlm
, fitdistr
, mle2
, orcutt
, glmmadmb
.BUG FIXES
ggcoefstats
didn’t work when statistic
argument was set to NULL
. This was not expected behavior. This has been fixed. Now, if statistic
is not specified, only the dot-and-whiskers will be shown without any labels.subtitle_t_parametric
was producing incorrect sample size information when paired = TRUE
and the data contained NA
s. This has been fixed.MAJOR CHANGES
ggscatterstats
and its grouped_
variant accept both character and bare exressions as input to arguments label.var
and labe.expression
(#110).ggscatterstats
, by default, showed jittered data points (because it relied on position_jitter
defaults). This could be visually inaccurate and, therefore, ggscatterstats
now displays points without any jitter. The user can introduce jitter if they wish to using point.width.jitter
and point.height.jitter
arguments. For similar reasons, for ggbetweenstats
and its grouped_
variant, point.jitter.height
default has been changed from 0.1
to 0
(no vertical jitter, i.e.).MINOR CHANGES
stats::kruskal.test
. As a result, PMCMRplus
removed from dependencies.ggcoefstats
gains a caption
argument. If caption.summary
is set to TRUE
, the specified caption will be added on top of the caption.summary
.BUG FIXES
ggcoefstats
was showing wrong confidence intervals for merMod
class objects due to a bug in the broom.mixed
package (https://github.com/bbolker/broom.mixed/issues/30#issuecomment-428385005). This was fixed in broom.mixed
and so ggcoefstats
should no longer have any issues.specify_decimal_p
has been modified because it produced incorrect results when k < 3
and p.value = TRUE
(e.g., 0.002
was printed as < 0.001
).ggpiestats
produced incorrect results if some levels of the factor had been filtered out prior to using this function. It now drops unused levels and produces correct results.gghistostats
wasn’t filtering out NA
s properly. This has been fixed.MAJOR CHANGES
ggdotplotstats
for creating a dot plot/chart for labelled numeric data.conf.level
argument to control confidence level for effect size measures.k
argument for all functions has been changed from 3
to 2
.ggbetweenstats
subtitles have been renamed to remove _ggbetween_
from their names as this was becoming confusing for the user. Some of these functions work both with the between- and within-subjects designs, so having _ggbetween_
in their names made users suspect if they could use these functions for within-subjects designs.ggstatsplot
now depends on R 3.5.0
. This is because some of its dependencies require 3.5.0 to work (e.g., broom.mixed
).theme_
functions are now exported (theme_pie()
, theme_corrmat()
).ggbetweenstats
now supports multiple pairwise comparison tests (parametric, nonparametric, and robust variants). It gains a new dependency ggsignif
.ggbetweenstats
now supports eta-squared and omega-squared effect sizes for anova models. This function gains a new argument partial
.groupedstats
package to avoid repeating the same code in two packages: specify_decimal_p
, signif_column
, lm_effsize_ci
, and set_cwd
. Therefore, groupedstats
is now added as a dependency.gghistostats
can now show both counts and proportions information on the same plot when bar.measure
argument is set to "mix"
.ggcoefstats
works with tidy dataframes.untable
has been deprecated in light of tidyr::uncount
, which does exactly what untable
was doing. The author wasn’t aware of this function when untable
was written.CRAN
to reduce the size of the package. They are now available on the package website: https://indrajeetpatil.github.io/ggstatsplot/articles/.subtitle_t_robust
function can now handle dependent samples and gains paired
argument.ggstatsplot
: %>%
, %<>%
, %$%
.MINOR CHANGES
ggscatterstats
, ggpiestats
, and their grouped_
variant support bayes factor tests and gain new arguments relevant to this test.ggbetweenstats
supports bayes factor tests for anova designs.ggpiestats
(and its grouped_
version) gain slice.label
argument that decides what information needs to be displayed as a label on the slices of the pie chart: "percentage"
(which has been the default thus far), "counts"
, or "both"
.ggcorrmat
can work with cor.vars = NULL
. In such case, all numeric variables from the provided dataframe will be used for computing the correlation matrix.stable
to maturing
.palette_message()
).ggscatterstats
and gghistostats
with the argument results.subtitle
), so ggbetweenstats
also gains two new arguments to do this: results.subtitle
and subtitle
.iris_long
.MAJOR CHANGES
subtitle
, the current default for ggstatsplot
).ggcorrmat
gains p.adjust.method
argument which allows p-values for correlations to be corrected for multiple comparisons.ggscatterstats
gains label.var
and label.expression
arguments to attach labels to points.gghistostats
now defaults to not showing (redundant) color gradient (fill.gradient = FALSE
) and shows both "count"
and "proportion"
data. It also gains a new argument bar.fill
that can be used to fill bars with a uniform color.ggbetweenstats
, ggcoefstats
, ggcorrmat
, ggscatterstats
, and ggpiestats
now support all palettes contained in the paletteer
package. This helps avoid situations where people had large number of groups (> 12) and there were not enough colors in any of the RColorBrewer
palettes.ggbetweenstats
gains bf.message
argument to display bayes factors in favor of the null (currently works only for parametric t-test).gghistostats
function no longer has line.labeller.y
argument; this position is automatically determined now.BREAKING CHANGES
legend.title.margin
function has been deprecated since ggplot2 3.0.0
has improved on the margin issues from previous versions. All functions that wrapped around this function now lose the relevant arguments (legend.title.margin
, t.margin
, b.margin
).ggstatsplot.theme
has been changed to ggstatsplot.layer
for ggcorrmat
function to be consistent across functions.conf.level
and conf.type
arguments for ggbetweenstats
have been deprecated. No other function in the package allowed changing confidence interval or their type for effect size estimation. These arguments were relevant only for robust
tests anyway.ggocorrmat
argument type
has been changed to matrix.type
because for all other functions type
argument specifies the type of the test, while for this function it specified the display of the visualization matrix. This will make the syntax more consistent across functions.ggscatterstats
gains new arguments to specify aesthetics for geom point (point.color
, point.size
, point.alpha
). To be consistent with this naming schema, the width.jitter
and height.jitter
arguments have been renamed to point.width.jitter
and point.height.jitter
, resp.MINOR CHANGES
gghistostats
: To be compatible with JASP
, natural logarithm of Bayes Factors is displayed, and not base 10 logarithm.ggscatterstats
gains method
and formula
arguments to modify smoothing functions.ggcorrmat
can now show robust
correlation coefficients in the matrix plot.gghistostats
, binwidth
value, if not specified, is computed with (max-min)/sqrt(n)
. This is basically to get rid of the warnings ggplot2 produces. Thanks to Chuck Powell’s PR (#43).ggcoefstats
gains a new argument partial
and can display eta-squared and omega-squared effect sizes for anovas, in addition to the prior partial variants of these effect sizes.ggpiestats
gains perc.k
argument to show desired number of decimal places in percentage labels.BUG FIXES
grouped_ggpiestats
wasn’t working when only main
variable was provided with counts
data. Fixed that.MAJOR CHANGES
theme_mprl
is now called theme_ggstatsplot
. The theme_mprl
function will still be around and will not be deprecated, so feel free to use either or both of them since they are identical.ggcoefstats
no longer has arguments effects
and ran_params
because only fixed effects are shown for mixed-effects models.ggpiestats
can now handle within-subjects designs (McNemar test results will be displayed).BUG FIXES
ggbetweenstats
was producing wrong axes labels when sample.size.label
was set to TRUE
and user had reordered factor levels before using this function. The new version fixes this.ggcoefstats
wasn’t producing partial omega-squared for aovlist
objects. Fixed that with new version of sjstats
.MINOR CHANGES
gghistostats
has a new argument to remove color fill gradient.ggbetweenstats
takes new argument mean.ci
to show confidence intervals for the mean values.lmer
models, p-values are now computed using sjstats::p_value
. This removes lmerTest
package from dependencies.sjstats
no longer suggests apaTables
package to compute confidence intervals for partial eta- and omega-squared. Therefore, apaTables
and MBESS
are removed from dependencies.ggscatterstats
supports densigram
with the development version of ggExtra
. It additionally gains few extra arguments to change aesthetics of marginals (alpha, size, etc.).MAJOR CHANGES
ggcoefstats
for displaying model coefficients.ggtheme
argument that can be used to change the default theme, which has now been changed from theme_grey()
to theme_bw()
.MASS::rlm
, but percentage bend correlation, as implemented in WRS2::pbcor
. This was done to be consistent across different functions. ggcorrmat
also uses percentage bend correlation as the robust correlation measure. This also means that ggstatsplot
no longer imports MASS
and sfsmisc
.data
argument is no longer NULL
for all functions, except gghistostats
. In other words, the user must provide a dataframe from which variables or formulas should be selected.12
to 11
.MINOR CHANGES
nortest
from imports.ggpiestats
can now handle dataframes withggbetweenstats
and ggpiestats
now display sample sizes for each level of the groping factor by default. This behavior can be turned off by setting sample.size.label
to FALSE
.Titanic_full
, movies_wide
, movies_long
.boot::boot
. Therefore, the package no longer imports DescTools
.legend.title.margin
arguments for gghistostats
and ggcorrmat
now default to FALSE
, since ggplot2 3.0.0
has better legend title margins.ggpiestats
now sorts the summary dataframes not by percentages but by the levels of main
variable. This was done to have the same legends across different levels of a grouping variable in grouped_ggpiestats
.ggpiestats
no longer shows titles for the tests run (these were “Proportion test” and “Chi-Square test”). From the pie charts, it should be obvious to the user or reader what test was run.gghistostats
also allows running robust version of one-sample test now (One-sample percentile bootstrap).NEW FEATURES
ggbetweenstats
function can now show notched box plots. Two new arguments notch
and notchwidth
control its behavior. The defaults are still standard box plots.outlier.label
argument was of character
type.gghistostats
supports proportion
and density
as a value measure for bar heights to show proportions and density. New argument bar.measure
controls this behavior.grouped_
variants of functions ggcorrmat
, ggscatterstats
, ggbetweenstats
, and ggpiestats
introduced to create multiple plots for different levels of a grouping variable.MAJOR CHANGES
ggstatsplot
use the spelling color
, rather than colour
in some functions, while color
in others.binwidth.adjust
from gghistostats
function. This argument was relevant for the first avatar of this function, but is no longer playing any role.lab_col
and lab_size
in ggcorrmat
have been changed to lab.col
and lab.size
, respectively.MINOR CHANGES
ggstatsplot.theme
function to control if ggstatsplot::theme_mprl
is to be overlaid on top of the selected ggtheme (ggplot2 theme, i.e.).gghistostats
to allow user to change colorbar gradient. Defaults are colorblind friendly.gghistostats
and ggcorrmat
have a new argument legend.title.margin
to control margin adjustment between the title and the colorbar.line.labeller
in gghistostats
function.BUG FIXES
centrality.para
argument for ggscatterstats
was not working properly. Choosing "median"
didn’t show median, but the mean. This is fixed now.NEW FEATURES
gghistostats
and two new arguments to also display a vertical line for test.value
argument.gghistostats
.grouped_gghistostats
to facilitate applying gghistostats
for multiple levels of a grouping factor.ggbetweenstats
has a new argument outlier.coef
to adjust threshold used to detect outliers. Removed bug from the same function when outlier.label
argument is of factor/character type.MAJOR CHANGES
signif_column
and grouped_proptest
are now deprecated. They were exported in the first release by mistake.gghistostats
no longer displays both density and count since the density information was redundant. The density.plot
argument has also been deprecated.ggscatterstats
argument intercept
has now been changed to centrality.para
. This was due to possible confusion about interpretation of these lines; they show central tendency measures and not intercept for the linear model. Thus the change.effsize.type = "biased"
effect size for ggbetweenstats
in case of ANOVA is partial omega-squared, and not omega-squared. Additionally, both partial eta- and omega-squared are not computed using bootstrapping with (default) 100 bootstrap samples.MINOR CHANGES
README
document.broom
package. RVAideMemoire
package is thus removed from dependencies.ggbetweenstats
function are now computed using sjstats
package, which allows bootstrapping. apaTables
and userfriendlyscience
packages are thus removed from dependencies.