# NOT RUN {
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', 'ALL'), cnames=c('Age decades'),
data=d, FUN=quantile_cell, probs = 0.99)
# }
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