ggobi/ggally: v2.0.0

• vig_ggally("ggally_plots") - ggally_*(): List of available high-level plots
• vig_ggally("ggally_stats") - stat_*(): Additional statistics for ggplot2
• vig_ggally("ggbivariate") - ggbivariate(): Plot an outcome with several potential explanatory variables
• vig_ggally("ggtable") - ggtable(): Cross-tabulated tables
• To view all vignettes for GGally, call GGally::vig_ggally()

ggbivariate() (@larmarange, #324)

• Display an outcome using several potential explanatory variables
• vig_ggally("ggbivariate")

ggtable() (@larmarange, #351)

• Cross-tabulated tables of discrete variables
• vig_ggally("ggtable")

add_to_ggmatrix() (#362)

• Add ggplot2 objects to ggmatrix objects at selected locations
• Locations can be rows, columns, matrices, or other shorthand values.

ggally_autopoint(), ggally_autopointDiag() (@larmarange, #325)

• Make scatterplots compatible with both continuous and categorical variables using ggforce::geom_autopoint().

ggally_colbar(), ggally_rowbar() (@larmarange, #324)

• Plot column or row percentage using bar plots.

ggally_count(), ggally_countDiag() (@larmarange, #321)

• Plot the number of observations by using rectangles with proportional areas.

ggally_cross() (@larmarange, #326)

• Plot the number of observations by using square points with proportional areas.

ggally_crosstable() (@larmarange, #351)

• Display a cross-tabulated table.

ggally_statistic() (#327)

• A generalized version of ggally_cor()
• Use this method to create functions similar to ggally_cor() that return any text value given and x and y vector of data

ggally_summarise_by() (@larmarange, #325)

• Display summary statistics of a continuous variable for each value of a discrete variable.

ggally_table() (@larmarange, #326)

• Plot the number of observations as a table.

ggally_trends() (@larmarange, #333)

• Plot trends using line plots.

signif_stars() (@larmarange, #327)

• Return the appropriate number of significance stars as a character vector for the provided numeric input values.

stat_cross() (@larmarange, #326)

• Computes statistics of a 2-dimensional matrix using broom::augment.htest.

stat_prop() (@larmarange, #324)

• Compute proportions according to custom denominator.

stat_weighted_mean() (@larmarange, #333)

• Compute the mean of y aesthetic for each unique value of x, taking into account weight aesthetic if provided.

ggally_cor() (#327)

• New implementation using ggally_statistic()
• Will now hide the grid by default and add a border (displayGrid = FALSE)
• Added the ability to display significance stars (stars = TRUE)
• Alignment has been fixed so both short and long names should be displayed within view. alignPercent now corresponds to the center of the text.
• Added the ability to separate the arguments sent to the title and the groups (title_args and group_args)
• Digits now represents the total number of digits after the decimal place.
• To use the old version, change your ggally_cor() function calls to ggally_cor_v1_5().
• Previously deprecated parameters have been removed

Website

• Updated to use pkgdown (#335)

ggpairs() (#331)

• New proportion argument to control relative size of sub-plots
• option proportion = "auto" for automatic guess based on the number of levels for discrete variables

ggduo() (#331)

• New xProportion and yProportion arguments to control relative size of sub-plots
• Set option xProportion = "auto" and yProportion = "auto" for automatic guess based on the number of levels for discrete variables

ggscatmat()

• lowertriangle() now preallocates it's memory usage for a 2-5x speed improvement. (@vlepori, #328)
• Fixed facet'ing error where the factor order was not preserved. This error caused the facets to be alphabetically sorted, cause plots to appear in unexpected locations. (#355)