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)