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 dimensionsvis_expect()
for visualising where certain values of expectations occur in the datavis_expect
show_perc
arg to vis_expect
to show the percentage of expectations that are TRUE. #73vis_cor
to visualise correlations in a dataframevis_guess()
for displaying the likely type for each cell in a dataframevis_expect
to make it easy to look at certain appearances of numbers in your data.vis_cor
to use argument na_action
not use_op
.vis_miss_ly
- thanks to Stuart Leepaper.md
for JOSSctb
.Fix bug reported in #75
where vis_dat(diamonds)
errored seq_len(nrow(x))
inside internal
function vis_gather_
, used to calculate the row numbers. Using
mutate(rows = dplyr::row_number())
solved the issue.
Fix bug reported in #72
where vis_miss
errored when one column was given to it. This was an issue
with using limits
inside 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_cor
didn't gather variables for plotting appropriately - now fixedName | Size | |
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ropensci/visdat-0.5.0.zip
md5:4c0d94ce5c38df142269de689ec1f49f |
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