NEWS.md
by
argument to plot_bar
.dummify
.logical
being parsed as symbol
in configure_report
.split_columns(..., binary_as_factor = TRUE)
.plot_prcomp
now drops columns with zero variance.update_columns
to transform any selected columns.configure_report
function to customize report content.geom_text
and geom_label
arguments.create_report
now displays full report directory after completion.plot_bar
.plot_missing
.geom_text
to geom_label
.create_report
.plot_bar
, plot_histogram
, plot_density
and plot_boxplot
.gridExtra::grid.arrange
with facets.dummify
now works on selected columns.plot_*
are now invisibly returned. As a result, extracted profile_missing
from plot_missing
for missing value profiles.plot_prcomp
now passed scale. = TRUE
to prcomp
by default.sampled_rows
argument to plot_scatterplot
.create_report
.create_report
failure due to zero complete rows.plot_str
when plotting data.frame with more than 100 columns.split_columns
.plot_prcomp
.plot_prcomp
.create_report
failure (specifically from plot_prcomp
) when y
is specified.create_report
and plot_prcomp
.create_report
can now be customized.plot_bar
now supports optional measures (in addition to categorical frequency) using argument with
.plot_missing
:
.ignoreCat
and .getAllMissing
to helper.group_category
.set_missing
..Deprecated
mode. List of name changes in alphabetical order:
BarDiscrete
-> plot_bar
CollapseCategory
-> group_category
CorrelationContinuous
-> plot_correlation(..., type = "continuous")
CorrelationDiscrete
-> plot_correlation(..., type = "discrete")
DensityContinuous
-> plot_density
DropVar
-> drop_columns
GenerateReport
-> create_report
HistogramContinuous
-> plot_histogram
PlotMissing
-> plot_missing
PlotStr
-> plot_str
SetNaTo
-> set_missing
SplitColType
-> split_columns
CorrelationContinuous
and CorrelationDiscrete
into one function, and added option to view correlation of all features at once.CorrelationDiscrete
now displays all factor levels instead of full rank matrix from model.matrix
.num_all_missing
in SplitColType
.CollapseCategory
.CollapseCategory
.CollapseCategory
, update = TRUE
will only work with input data as data.table
. However, it is still possible to view the frequency distribution with any input data class, as long as update = FALSE
.knitr::render
.GenerateReport
now handles data without discrete or continuous features.CollapseCategory
to collapse sparse categories for discrete features.