Software Open Access
Nicholas Tierney; Jennifer (Jenny) Bryan; Sean Hughes; Noam Ross; Mara Averick; Stuart Lee; Maëlle Salmon; Carson Sievert
vis_compare()for comparing two dataframes of the same dimensions
vis_expect()for visualising where certain values of expectations occur in the data
vis_expectto show the percentage of expectations that are TRUE. #73
vis_corto visualise correlations in a dataframe
vis_guess()for displaying the likely type for each cell in a dataframe
vis_expectto make it easy to look at certain appearances of numbers in your data.
vis_corto use argument
vis_miss_ly- thanks to Stuart Lee
Fix bug reported in #75
seq_len(nrow(x)) inside internal
vis_gather_, used to calculate the row numbers. Using
mutate(rows = dplyr::row_number()) solved the issue.
Fix bug reported in #72
vis_miss errored when one column was given to it. This was an issue
scale_x_discrete - which is used to order the
columns of the data. It is not necessary to order one column of data, so I
created an if-else to avoid this step and return the plot early.
Fix visdat x axis alignment when show_perc_col = FALSE - #82
fix visdat x axis alignment - issue 57
vis_cordidn't gather variables for plotting appropriately - now fixed