miss_cell: Missing values cell function

In etable: Easy Table

Description

Counting the number of missing values in each cell.

Usage

miss_cell(x, y, z, w, cell_ids, row_ids, col_ids, vnames, vars, n_min,
          pct = FALSE, digits = 0, prefix='', suffix='')

Arguments

x	The x variable
y	NOT USED
z	NOT USED
w	NOT USED (The number of missing will not be weighted!).
cell_ids	Index vector for selecting values in cell.
row_ids	NOT USED
col_ids	NOT USED
vnames	NOT USED
vars	NOT USED
n_min	NOT USED
pct	Logical asking whatever to draw absolute or relative frequency of missing values.
digits	Integer indicating the number of decimal places.
prefix	Free text added in each cell bevor results.
suffix	Free text added in each cell after results.

Author(s)

Andreas Schulz <[e-mail]>

Examples

sex     <- factor(rbinom(1000, 1, 0.4),  labels=c('Men', 'Women'))
height  <- rnorm(1000, mean=1.66, sd=0.1)
height[which(sex=='Men')]<-height[which(sex=='Men')]+0.1
weight  <- rnorm(1000, mean=70, sd=5)
decades <- rbinom(1000, 3, 0.5)
decades <- factor(decades, labels=c('[35,45)','[45,55)','[55,65)','[65,75)'))
d<-data.frame(sex, decades, height, weight)
d$height[round(runif(250,1,1000))]<- NA
d$weight[round(runif(25 ,1,1000))]<- NA

tabular.ade(x_vars=c('height', 'weight'), xname=c('Height [m]','Weight [kg]'),
        cols=c('sex','decades','ALL'), cnames=c('Gender', 'Age decades'),
        data=d, FUN=miss_cell, prefix='Miss:')

etable documentation built on May 22, 2021, 5:07 p.m.