ggcorrplot 0.1.4

Minor changes

• New argument as.is added. A logical passed to melt.array. If TRUE, dimnames
  will be left as strings instead of being converted using type.convert
  (@fdetsch, #24).

• Gets rid of NOTE in CRAN daily checks about lazy data.

• Adds visual regression testing infrastructure using vdiffr.

• Removes warnings stemming from the latest version of ggplot2.

Bug fixes

• The option hc.method is now taken into account (#mitchelfruin, #29)

• The option show.diag now works for full matrix (@arbet003 , #31)

ggcorrplot 0.1.3

New features

• Support an object of class cor_mat as returned by the function cor_mat() [rstatix package]

Minor changes

Merging with pull request 16 (@IndrajeetPatil, #16), which addresses the following issues:

1. In all README and roxygen examples, the argument outline.color was written as outline.col, which created warnings in RStudio scripts about the partial matching of arguments. Fixed that.
2. Styled the code in tidyverse style guide (both in R script and README file).
3. Added spelling tests to make sure no spelling error fall through the cracks.
4. Bumped up the package version to highlight that this is the development version. Added a few more badges to README to convey the same thing.
5. The digits argument (introduced in #12) wasn't working properly (IndrajeetPatil/ggstatsplot#93). This is now fixed. Also added an example to show that this works.

ggcorrplot 0.1.2

Minor changes

• New argument digits added to ggcorrplot() (@IndrajeetPatil, #12.
• New argument ggtheme added to ggcorrplot() (@IndrajeetPatil, #11.

Bug fixes

• Bug fix for label argument inside ggplot2::geom_text (@alekrutkowski, #1)
• Now ggcorrplot() when both reshape and reshape2 packages are loaded (#4)

ggcorrplot v0.1.1

Description

The ggcorrplot package can be used to visualize easily a correlation matrix using ggplot2. It provides solution for reordering the correlation matrix and displays the significance level on the correlogram. It includes also a function for computing a matrix of correlation p-values.

New features

• ggcorrplot(): visualize a correlation matrix
• cor_pmat(): compute a correlation matrix p-values