ggstatsplot 0.9.0

NEW FEATURES

• The pairwise_comparisons() function for carrying out one-way pairwise
  comparisons has now moved in {ggstatsplot} from {pairwiseComparisons}
  package.

BREAKING CHANGES

• A number of effect size estimates and their confidence intervals have
  changed due to respective changes made in {effectsize} package version
  0.5 release. For full details of these changes, see:
  https://easystats.github.io/effectsize/news/index.html

• For the same reason, the effect size for one-way contingency table has
  changed from Cramer's V to Pearson's C.

MAJOR CHANGES

• For plotting marginal distributions in ggscatterstats, {ggstatsplot} now
  relies on ggside package instead of ggExtra. This was done to remove a
  glaring inconsistency in the API. All functions in {ggstatsplot} produced
  ggplot objects and could be further modified with ggplot2 functions,
  except ggscatterstats, which led to a lot of confusion among users (e.g.
  #28). This change gets rid of this inconsistency. But it comes at a cost:
  there is no more marginal.type argument that lets you change the type of
  marginal distribution graphic and histogram is the only possible option.
  Note that this is not a breaking change. Your past code will continue to
  work but it will now always produce a histogram instead of other marginal
  graphic you might have chosen.

• Minimum needed R version is now 4.0.

MINOR CHANGES

• Online vignette about combine_plots has been removed. In case you want to
  create a grid of plots, it is highly recommended that you use patchwork
  package directly and not this wrapper around it which is mostly useful with
  {ggstatsplot} plots.

• ggscatterstats labeling arguments accept only unquoted inputs now, and not
  quoted or string inputs. Allowing this was a bad design choice in the past
  since most functions in {ggstatsplot}, inspired by tidyverse, expect
  unquoted (x) - and not quoted ("x") - arguments. So this function was
  the odd one out.

• Gets rid of ipmisc dependency.

• Removes movies_wide dataset, which was virtually identical to
  movies_long dataset and was not used anywhere in the package. Also removes
  the unused VR_dilemma dataset.