iqr_cell: Median IQR cell function.

In etable: Easy Table

Description

For calculate median and interquartile range. (weighting is possible)

Usage

          iqr_cell(x, y, z, w, cell_ids, row_ids, col_ids, vnames, vars, n_min,
          digits = 3, add_n=FALSE)

Arguments

x	The x variable for calculations
y	NOT USED
z	NOT USED
w	Weights for x variable.
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	Minimum n in the cell for useful calculation. Cells with n<n_min deliver no output.
digits	Integer indicating the number of significant digits.
add_n	Logical asking whether to draw N for each cell.

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)

tabular.ade(x_vars=c('height', 'weight'), xname=c('Height [m]','Weight [kg]'),
   rows=c('sex','ALL'), rnames=c('Gender'),
   cols=c('decades'),   cnames=c('Age decades'),
   data=d, FUN=iqr_cell, add_n=TRUE)

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