The sumvar package
The sumvar package quickly explores continuous and categorical
variables.
sumvar aims to bring the ease and simplicity of the
“sum” and “tab” functions from stata, to R.
- dist_sum() is for exploring a continuous variable.
Can stratify by a grouping variable, for example:
df %>% dist_sum (var, group).
- dist_date() is for dates, use the same way as
dist_sum().
- tab1() is to explore a single categorical variable,
for example:
df %>% tab1(var)
- tab() is for a twoway table from two categorical
variables, for example:
df %>% tab(var1, var2).
- dup() explores duplicates and missing values,
across a single variable, or a whole database
Both dist_sum() and tab() include
options for performing frequentist hypothesis tests, have a look at the
help files.
All functions are tidyverse/dplyr-friendly and accept the
%>% pipe from a tibble or data frame, outputting results
as a tibble. You can save and further manipulate outputs,
e.g. summary <- df %>% dist_sum(var)