missingAnalysis: A missingAnalysis Function

In mdapack: Medical Data Analysis Pack

Description

'missingAnalysis' function reveals the variables with missing values, the number of missing values for each variable, and in what combinations It also produces a plot for visualizing pattern of missing values and returns a data frame showing correlation between pairs of variables that has missing values It also returns a data frame with complete cases

Usage

missingAnalysis(
  dat,
  plot = FALSE,
  miss_pattern = FALSE,
  complete_dat = FALSE,
  miss_cor_pattern = FALSE
)

Arguments

dat	Data in data frame format.
plot	A plot of the missing data pattern.
miss_pattern	A data frame with missing data pattern for each variable.
complete_dat	A data frame with complete cases.
miss_cor_pattern	Correlation between variables with missing values.

Value

Returns a complete data frame, a tabulation of missing data pattern and missing data plot for combination of variables

Author(s)

Henry Nanji

Examples

library(VIM)
data(sleep)
missingAnalysis(sleep, complete_dat  = TRUE)

mdapack documentation built on July 1, 2020, 10:30 p.m.