df_summary: Summarises all variables in a dataframe

In neale-eldash/neale: FUNCTIONS I HAVE DEVELOPED FOR PERSONAL USE

Description

This function calculates the following statistics for all variables in the dataframe:

• var: Variable name

• name: Variable label

• class: Variable class

• n.na: Number of NA's

• n.nan: Number of NaN's

• n.distinct: Number of distinct values

• n.labels: Number of labels

• labels: All labels concatenated and separated by ';'

• labels.1 thru labels.n: each label is displayed separatly in a variable

Usage

df_summary(df, drop = FALSE)

Arguments

df	The dataframe to be summarised.
drop	If droplevels(df) should be run before summarizing the dataframe. This can make the orginal dataframe and the one analyzied differ. We recomend you run droplevels(df) before calling this function if needed.

Value

A (dataframe) with the description of all variables.

Examples

summary <- df_summary(df)

neale-eldash/neale documentation built on May 23, 2019, 1:29 p.m.