ds_summary_stats()
can handle both data.frame
and numeric vector as input.This is a patch release to fix CRAN notification about vdiffr package and remove deprecated functions related to visualization of statistical distributions.
The following functions are defunct. Please use the vistributions package for visualizing distributions.
dist_binom_plot()
dist_binom_prob()
dist_binom_perc()
dist_chisquare_plot()
dist_chisquare_perc()
dist_chisquare_prob()
dist_normal_plot()
dist_normal_perc()
dist_normal_prob()
dist_f_plot()
dist_f_perc()
dist_f_prob()
dist_t_plot()
dist_t_perc()
dist_t_prob()
This is a patch release to fix CRAN errors.
ds_tiy_stats()
will detect continuous variables in the data set and return
summary statistics for all of them. (#68)ds_auto_summary_stats()
will detect all continuous variables in the data
set and return summary statistics and frequency tables for all of them.
(#69)ds_plot_*()
family of functions will detect continuous and categorical
variables in the data set and generate appropriate plots. (#70)ds_launch_shiny_app()
will check if suggested packages are available and
offer to install the missing packages. (#76)ds_measures_*()
family of functions now accept multiple arguments. (#78)ds_auto_freq_table()
and ds_auto_cross_table()
allow users to specify a
subset of variables. (#83)ds_freq_table()
now works for both continuous and categorical data. (#90)All the dist_*
functions related to visualizing probability distributions have
been soft deprecated and will be removed in the next release. Please use the
vistributions package going forward.
The shiny app has been soft-deprecated and will be removed in the next release. Please use the xplorerr package going forward.
The following functions have been soft-deprecated and will be removed in the next release:
ds_freq_cont()
ds_oway_tables()
ds_tway_tables()
ds_freq_cont()
should return a tibble
(#34)The following now return tibbles to facilitate further analysis:
ds_twoway_table()
ds_freq_table()
ds_freq_cont()
ds_group_summary()
New to descriptr are the following which generate summary statistics:
ds_measures_location()
ds_measures_variation()
ds_measures_symmetry()
ds_percentiles()
ds_extreme_obs()
descriptr:::print_screen()
fails if a variable has more than one class
(#26)ds_summary_stats()
does not show missing values
(#30)A big thanks to @GegznaV and @adam_medcalf who contributed code, opened issues and provided valuable feedback.
We have completely revamped the API. All the functions now
take a data.frame
or tibble
as the first argument followed
by the variable names. The variable names need not be surrounded
by single/double quotes anymore. Please view the guide for
more details.
This is a minor release containing bug fixes.
group_summary()
; maximum and minimum were reversednorm_plot()
was non-reactive to changes in standard deviation (#1).