missChk: missChk

In qreport: Statistical Reporting with 'Quarto'

missChk

Description

Produce a Report Section Detailing Missing Values in a Dataset

Usage

missChk(
  data,
  use = NULL,
  exclude = NULL,
  type = c("report", "seq"),
  maxpat = 15,
  maxcomb = 25,
  excl1pat = TRUE,
  sortpatterns = TRUE,
  prednmiss = FALSE,
  omitpred = NULL,
  baselabel = NULL,
  ...
)

Arguments

data	data frame or table to analyze
use	a formula or character vector specifying which variables to consider if not all those in data
exclude	a formula or character vector specifying which variables to exclude from consideration
type	specify 'seq' to return a summary of sequential exclusions rather than produce a report
maxpat	maximum number of missing data patterns allowed when counting occurrences of all combinations of variables' NAs
maxcomb	maximum number of combinations for which to produce a combination dot plot
excl1pat	set to FALSE to not list distinct combinatons that only occur for one observation
sortpatterns	set to FALSE to not sort patterns in decreasing frequency of missingness
prednmiss	set to TRUE to use ordinal regression to predict the number of missing variables on an observation from the values of all the non-missing variables
omitpred	a formula or character vector specifying a list of predictors not to use when predicting number of missing variables
baselabel	base label for Quarto tabs made with maketabs()
...	passed to combplotp()

Details

Quantifies frequencies of missing observations on a variable and missing variables on an observaton and produces variables tables and (depending on the number of NAs) multiple graphic displays in Quarto tabs. The results are best understood by referring to this.

Value

nothing; outputs Quarto/RMarkdown text and tabs for a full report section

Author(s)

Frank Harrell

Examples

## Not run: 
missChk(mydata)

## End(Not run)

qreport documentation built on May 29, 2024, 3:51 a.m.