The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

sumvar

The sumvar package quickly explores continuous, date and categorical variables. sumvar brings the ease and simplicity of the sum and tab commands from Stata to R.

Installation

Install from CRAN:

install.packages("sumvar")

Or install the development version from GitHub:

# install.packages("pak")
pak::pak("alstockdale/sumvar")

Functions

• dist_sum() — explore a continuous variable; stratify by a grouping variable with df %>% dist_sum(var, group).
• dist_date() — summarise date variables; usage is the same as dist_sum().
• tab1() — frequency table for a single categorical variable: df %>% tab1(var).
• tab() — two-way cross-tabulation: df %>% tab(var1, var2).
• dup() — explore duplicates and missing values across a single variable or an entire data frame.
• explorer() — generate an HTML or PDF exploratory data analysis report for a whole data frame.

Both dist_sum() and tab() include options for frequentist hypothesis tests. See the function help pages for details.

All functions accept the %>% pipe from a tibble or data frame and return results as a tibble, so outputs can be saved and further manipulated:

summary <- df %>% dist_sum(var)

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.