ggobi/ggally: v2.0.0

New Vignettes 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() New functions 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. New ggplot2 plot statistics: 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. Major updates 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) Features and bug fixes: 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