grouped_summary: Descriptive statistics for multiple variables for all...

Description Usage Arguments Value Examples

View source: R/grouped_summary.R

Description

Descriptive statistics for multiple variables for all grouping variable levels

Usage

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grouped_summary(
  data,
  grouping.vars,
  measures = NULL,
  measures.type = "numeric",
  topcount.long = FALSE,
  k = 2L,
  ...
)

Arguments

data

Dataframe from which variables need to be taken.

grouping.vars

A list of grouping variables. Please use unquoted arguments (i.e., use x and not "x").

measures

List variables for which summary needs to computed. If not specified, all variables of type specified in the argument measures.type will be used to calculate summaries. Don't explicitly set measures.type = NULL in function call, which will produce an error because the function will try to find a column in a dataframe named "NULL".

measures.type

A character indicating whether summary for numeric ("numeric") or factor/character ("factor") variables is expected (Default: measures.type = "numeric"). This function can't be used for both numeric and variables simultaneously.

topcount.long

If measures.type = factor, you can get the top counts in long format for plotting purposes. (Default: topcount.long = FALSE).

k

Number of digits after decimal point (should be an integer) (Default: k = 3).

...

Currently ignored.

Value

Dataframe with descriptive statistics for numeric variables (n, mean, sd, median, min, max).

Examples

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# for reproducibility
set.seed(123)

# another possibility
groupedstats::grouped_summary(
  data = iris,
  grouping.vars = Species,
  measures = Sepal.Length:Petal.Width,
  measures.type = "numeric"
)

# if no measures are chosen, all relevant columns will be summarized
groupedstats::grouped_summary(
  data = ggplot2::msleep,
  grouping.vars = vore,
  measures.type = "factor"
)

# for factors, you can also convert the dataframe to a long format with counts
groupedstats::grouped_summary(
  data = ggplot2::msleep,
  grouping.vars = c(vore),
  measures = c(genus:order),
  measures.type = "factor",
  topcount.long = TRUE
)

IndrajeetPatil/groupedstats documentation built on June 6, 2020, 9:57 a.m.