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explorer() to generate an HTML or PDF exploratory
data analysis report for an entire data frame, including summaries of
all continuous, date and categorical variables, missing data, and
duplicates.dist_date() for summarising and visualising date
variables, optionally stratified by a grouping variable.tab() with a Stata-style formatted console
output. Now supports row percentages, column percentages, or counts only
(show argument), optional row/column totals, configurable
decimal places, and chi-squared and Fisher’s exact hypothesis tests by
default.dist_sum() now returns n_outliers (IQR
method), shapiro_p (Shapiro-Wilk p-value), and
normal (logical) for both ungrouped and grouped
summaries.dist_sum() now automatically uses the t-distribution
for confidence intervals when n < 30, and the Z-distribution for n
>= 30.tab() now runs both chi-squared and Fisher’s exact
tests by default (test = "both").tab() now prints a note when observations are excluded
due to missing values.tab() and tab1() now raise informative
errors when the wrong number of variables is supplied.explorer() now prompts interactively to exclude
identifier columns (id, ids, pid, pids) from summaries.explorer() now includes a correlation heatmap section
when two or more numeric variables are present.dup(): fixed inverted label positions in the stacked
bar chart.dist_sum(): fixed incorrect test dispatch (ANOVA vs
t-test) when the grouping variable contains missing values.explorer(): fixed id_var scope in
generated Rmd; fixed CLI progress bar token names.explorer(): correctly recovers the data frame name when
called via the %>% pipe.dist_sum(), tab1(),
and dup().These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.