ggstatsplot 0.1.2.9000 Unreleased

MAJOR CHANGES

  • To avoid excessive arguments to function, most arguments relevant for ggrepel in ggcoefstats function have been removed. The users can instead provide all such arguments in a list to stats.labels.args argument.

BUG FIXES

  • ggbetweenstats and ggwithinstats no longer produce incorrect label if the dataframe already contains a variable named n (#317) or variables with pattern mean (#322).
  • ggbetweenstats and ggwithinstats mean labels respect k argument (#331).

MINOR

  • ggcoefstats now uses parameters::p_value instead of sjstats::p_value, as requested by the maintainer of that package. This might lead to differences in p-values for lmer models.
  • More models supported in ggcoefstats: bracl, brglm2, glmc, nlreg, slm, wbgee.
  • ggcoefstats gains only.significant argument to only display display stats labels for significant effects. This can be helpful when a large number of regression coefficients are to be displayed in a single plot.

ggstatsplot 0.1.2 2019-09-17

MINOR

  • Minor code refactoring that gets rid of the following dependencies: magrittr, ellipsis, purrrlyr.

MAJOR

  • The p-value label now specifies whether the p-value displayed in ggbetweenstats and ggwithinstats pairwise comparisons were adjusted or not for multiple comparisons.

ggstatsplot 0.1.1 2019-08-30

ANNOUNCEMENTS

ggstatsplot is undergoing conscious uncoupling whereby all the statistical processing functions that make stats subtitles are being moved to a new package called statsExpressions. This new package will act as a backend that handles all things statistical processing. This will not affect the end users of ggstatsplot unless you have been using the helper functions.

Additionally, multiple pairwise comparison tests are being moved to an independent package called pairwiseComparisons.

This uncoupling is designed to achieve two things:

  • Make the code base of more manageable size in ggstatsplot, which will make package development a bit easier.

  • Make the workflow more customizable since now you can prepare your own plots and then use statsExpressions to display results in the plot rather than relying on ggstatsplot default plots which are heavily opinionated and not appealing to everyone.

BREAKING CHANGES

  • All helper functions subtitle_* and bf_* have been moved to the new statsExpressions package.
  • To be consistent with all the other subtitle_ and bf_ functions, subtitle_contingency_tab and bf_contingency_tab now use the arguments x and y instead of main and condition.

MAJOR CHANGES

  • Major refactoring to reduce the codesize and to rely fully on rlang.
  • There was confusion about what did the red point in ggbetweenstats and ggbetweenstats plots represents. Now the label also contains $\mu$ to highlight that what is being displayed is a mean value.
  • To be consistent with the rest of the functions, ggpiestats and ggbarstats now uses the following aliases for arguments: x for main and y for condition. This change is backward-compatible and should not pose any problems for scripts that used main and condition arguments in these functions.
  • Most subtitle expressions now report details about the design. In case of between-subjects design, this will be $n_{obs}$, while in case of repeated measures design, this will be $n_{pairs}$.
  • pairwise.annotation now defaults to "p.value" rather than "asterisk" for ggbetweenstats and ggwithinstats (and their grouped_ variants) functions. This was done because the asterisk conventions are not consistent across various scientific disciplines.

MINOR CHANGES

  • New dataset included: bugs_long, for repeated measures designs with NAs present in the data.
  • ggstatsplot now uses rcompanion to compute Spearman’s rho and Kendall’s W. Therefore, DescTools is removed from dependencies.
  • ggcoefstats supports following objects: bglmerMod, blmerMod, lme, mclogit, mmclogit, tobit, wblm.
  • ggcoefstats now respects conf.int. It internally always defaulted to conf.int = TRUE in broom::tidy irrespective of what was specified by the user.
  • It was painfully confusing for a lot of users what exactly the asterisks in each facet of ggpiestats signified. So instead now ggpiestats displays more detailed results from a goodness of fit (gof) test. No such change is made for ggbarstats because there is no space to include more details above the bar.
  • Removed conf.method and conf.type arguments for ggcoefstats. Also, p.kr argument removed because ggcoefstats will begin to rely on parameters instead of sjstats package to compute p-values for some regression models.

ggstatsplot 0.0.12 2019-07-12

BUG FIXES

  • Bayes Factor in 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

  • The effect size measure for Kruskal-Wallis test has been changed from the more obscure H-based eta-squared statistic to more common and interpretable epsilon-squared.

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

  • The vestigial arguments 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.

ggstatsplot 0.0.11 2019-06-14

BREAKING CHANGES

  • Instead of having two separate functions that dealt with repeated measures (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.
  • All functions that supported Bayes Factor analysis (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.
  • The default for 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

  • New functions ggwithinstats (and its grouped_ variant) are introduced as a counterpart to ggbetweenstats to handle repeated measures designs.
  • For repeated measures ANOVA, subtitle_anova_nonparametric now returns confidence intervals for Kendall’s W.
  • All functions get 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.
  • Both 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.
  • All functions gain 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.
  • Instead of using the internal function 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.
  • The sampling.plan argument default for ggbarstats function has been changed from "indepMulti" to "jointMulti" to be consistent with its sister function ggpiestats.

ggstatsplot 0.0.10 2019-03-17

NEW FEATURES

  • ggcoefstats can support following new model objects: rjags.
  • New 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

  • The internal function 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.

ggstatsplot 0.0.9 2019-02-18

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

  • New function 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.
  • New function to convert plots which are not of gg/ggplot class to ggplot class objects.
  • Instead of using 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.
  • To be consistent with other functions in this package, both 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

  • All 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.
  • To accommodate non-parametric tests, subtitle_template function can now work with parameter = NULL.
  • For 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.
  • All bayes factor related subtitle and captions replace prior.width with r_{Cauchy}.
  • ggcoefstats passes dots (...) to augment method from broom.

BUG FIXES

  • The helper function 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.

ggstatsplot 0.0.8 2019-01-07

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 NAs. 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).
  • To be consistent with rest of the functions in the package, both Pearson’s r, Spearman’s rho, and robust percentage bend correlations also display information about statistic associated with these tests.
  • 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

  • Confidence interval for Kendall’s W is now computed using 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.

ggstatsplot 0.0.7 2018-12-08

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 NAs properly. This has been fixed.

MAJOR CHANGES

  • New function ggdotplotstats for creating a dot plot/chart for labelled numeric data.
  • All primary functions gain conf.level argument to control confidence level for effect size measures.
  • As per APA guidelines, all results show results with two decimal places. That is, the default value for k argument for all functions has been changed from 3 to 2.
  • All helper functions for the 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).
  • All 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.
  • Following functions are now reexported from the 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.
  • The helper function 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.
  • All vignettes have been removed from 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.
  • A number of tidyverse operators are now reexported by ggstatsplot: %>%, %<>%, %$%.

MINOR CHANGES

  • ggscatterstats, ggpiestats, and their grouped_ variant support bayes factor tests and gain new arguments relevant to this test.
  • Effect size and their confidence intervals now available for Kruskal-Wallis test.
  • Minor stylistic changes to how symbols for partial-eta-/omega-squared were being displayed in subtitles.
  • 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.
  • Given the constant changes to the default behavior of functions, the lifecycle badge has been changed from stable to maturing.
  • When the number of colors needed by a function exceeds the number of colors contained in a given palette, informative message is displayed to the user (with the new internal function palette_message()).
  • Several users had requested an easier way to turn off subtitles with results from tests (which was already implemented in ggscatterstats and gghistostats with the argument results.subtitle), so ggbetweenstats also gains two new arguments to do this: results.subtitle and subtitle.
  • New dataset added: iris_long.
  • More tests added and the code coverage has now jumped to over 75%.
  • To avoid code repetition, there is a now a function that produces a generic message any time confidence intervals for effect size estimate are computed using bootstrapping.

ggstatsplot 0.0.6 2018-09-30

MAJOR CHANGES

  • The package now exports all functions used to create text expressions with results. This makes it easy for people to use these results in their own plots at any location they want (and not just in 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).
  • The argument ggstatsplot.theme has been changed to ggstatsplot.layer for ggcorrmat function to be consistent across functions.
  • For consistency, 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.
  • For 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.

ggstatsplot 0.0.5 2018-08-14

MAJOR CHANGES

  • For the sake of consistency, 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

  • Removed the trailing comma from the robust correlation analyses.
  • gghistostats has a new argument to remove color fill gradient.
  • ggbetweenstats takes new argument mean.ci to show confidence intervals for the mean values.
  • For 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.).

ggstatsplot 0.0.4 2018-07-05

MAJOR CHANGES

  • New function: ggcoefstats for displaying model coefficients.
  • All functions now have ggtheme argument that can be used to change the default theme, which has now been changed from theme_grey() to theme_bw().
  • The robust correlation is no longer 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.
  • The 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.
  • All subtitles containing results now also show sample size information (n). To adjust for the inflated length of the subtitle, the default subtitle text size has been changed from 12 to 11.

MINOR CHANGES

  • Switched back to Shapiro-Wilk test of normality to remove nortest from imports.
  • ggpiestats can now handle dataframes with
  • ggbetweenstats 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.
  • Three new datasets added: Titanic_full, movies_wide, movies_long.
  • Added confidence interval for effect size for robust ANOVA.
  • The 95% CI for Cramer’V computed using boot::boot. Therefore, the package no longer imports DescTools.
  • To be consistent across correlations covered, all correlations now show estimates for correlation coefficients, confidence intervals for the estimate, and p-values. Therefore, t-values and regression coefficients are no longer displayed for Pearson’s r.
  • The 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.
  • To remove cluttered display of results in the subtitle, 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).

ggstatsplot 0.0.3 2018-05-22

NEW FEATURES

  • The ggbetweenstats function can now show notched box plots. Two new arguments notch and notchwidth control its behavior. The defaults are still standard box plots.
  • Removed warnings that were appearing when outlier.label argument was of character type.
  • The default color palette used for all plots is colorblind friendly.
  • 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

  • To be internally consistent, all functions in ggstatsplot use the spelling color, rather than colour in some functions, while color in others.
  • Removed the redundant argument binwidth.adjust from gghistostats function. This argument was relevant for the first avatar of this function, but is no longer playing any role.
  • To be internally consistent, the argument lab_col and lab_size in ggcorrmat have been changed to lab.col and lab.size, respectively.

MINOR CHANGES

  • Added a new argument to ggstatsplot.theme function to control if ggstatsplot::theme_mprl is to be overlaid on top of the selected ggtheme (ggplot2 theme, i.e.).
  • Two new arguments added to gghistostats to allow user to change colorbar gradient. Defaults are colorblind friendly.
  • Both gghistostats and ggcorrmat have a new argument legend.title.margin to control margin adjustment between the title and the colorbar.
  • The vertical lines denoting test values and centrality parameters can be tagged with text labels with a new argument line.labeller in gghistostats function.

BUG FIXES

  • The centrality.para argument for ggscatterstats was not working properly. Choosing "median" didn’t show median, but the mean. This is fixed now.

ggstatsplot 0.0.2 2018-04-28

NEW FEATURES

  • Bayesian test added to gghistostats and two new arguments to also display a vertical line for test.value argument.
  • Vignette added for gghistostats.
  • Added new function 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

  • Functions signif_column and grouped_proptest are now deprecated. They were exported in the first release by mistake.
  • Function 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.
  • The default for 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

  • More examples added to the README document.
  • 95% confidence intervals for Spearman’s rho are now computed using broom package. RVAideMemoire package is thus removed from dependencies.
  • 95% confidence intervals for partial eta- and omega-squared for ggbetweenstats function are now computed using sjstats package, which allows bootstrapping. apaTables and userfriendlyscience packages are thus removed from dependencies.

ggstatsplot 0.0.1 2018-04-03

  • First release of the package.