n_cell {etable}

Frequency Cell FUN

Description

For calculation of relative or absolute frequencies.

Usage

   n_cell(x, y, z, w, cell_ids, row_ids, col_ids, vnames, vars, n_min,
          digits=0, digits2=1, type="n")

Arguments

x

The x variable (can be just 1:N if without missings values)

y

NOT USED

z

NOT USED

w

Weights for x variable. Only if calculating weigted frequences.

cell_ids

Index vector for selecting values in cell.

row_ids

Index vector for selecting values in row.

col_ids

Index vector for selecting values in col.

vnames

NOT USED

vars

NOT USED

n_min

NOT USED

digits

Integer indicating the number of decimal places (N)

digits2

Integer indicating the number of decimal places (percentages)

type

Type of frequencies, one of following.

• n, number in cell.

• pct, overall percentages.

• pctn, overall percentages and n.

• rowpct, percentages of rows.

• colpct, percentages of cols.

• rowpctn, percentages of rows and n.

• colpctn, percentages of cols and n.

• all, overall, row, col percentages.

Details

The function calculate frequencies for cell. If x has no missing values the frequencies are independent of x. Missing values in x will be removed from calculation.

Author(s)

Andreas schulz <[e-mail]>

Examples

sex     <- factor(rbinom(1000, 1, 0.4),  labels=c('Men', 'Women'))
decades <- rbinom(1000, 3, 0.5)
decades <- factor(decades, labels=c('[35,45)','[45,55)','[55,65)','[65,75)'))
d<-data.frame(sex, decades)

tabular.ade(x_var='sex',  rows=c('sex',     'ALL'), rnames=c('Gender'),
                          cols=c('decades', 'ALL'), cnames=c('Age decades'),
            data=d, FUN=n_cell, , type="all")