mis_overview: Graphical Overview of Missing Values in Dataset

In mmaechler/miP: Multiple Imputation Plots

Description

Equal-sized barcharts of all variables. Green indicates observed values, red missing values.

Usage

mis_overview(ds, srt = 0, pos = -3, percent = FALSE, inc = FALSE)

Arguments

ds	data.frame.
srt	graphical parameter that adjusts the rotation of the variablenames.
pos	graphical parameter that adjusts the position of the count of missing values.
percent	defines whether or not to draw the absolute count of missing values or the percentage.
inc	defines whether or not to calculate the number of observations that are complete for all variables.

Details

Additionally, an absolute value or percentage of missing values is drawn inside of every barchart.

Value

Returns how many values are missing in total and how many observations are complete for all variables (very time consuming for big datasets).

Author(s)

Paul Brix

Examples

data(FLAS)
mis_overview(FLAS,srt=45)

mmaechler/miP documentation built on May 23, 2019, 5 a.m.