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Generate Summary Table for Supplied Response and Grouping Variables

Source: R/summary_table.R
summary_table.Rd

Calculates mean, standard deviation, sample size, and standard error of a given response variable within user-defined grouping variables. This is meant as a convenience instead of doing dplyr::group_by followed by dplyr::summarize iteratively themselves.

Usage

summary_table(
  data = NULL,
  groups = NULL,
  response = NULL,
  drop_na = FALSE,
  round_digits = 2
)

Arguments

data

(dataframe or dataframe-like) object with column names that match the values passed to the groups and response arguments

groups

(character) vector of column names to group by

response

(character) name of the column name to calculate summary statistics for (the column must be numeric)

drop_na

(logical) whether to drop NAs in grouping variables. Defaults to FALSE

round_digits

(numeric) number of digits to which mean, standard deviation, and standard error should be rounded

Value

(dataframe) summary table containing the mean, standard deviation, sample size, and standard error of the supplied response variable