etable (version 1.3.1)

eventpct_cell: Factor level frequencies cell function

Description

Calculates frequencies or proportions of a certain level of factor x.

Usage

eventpct_cell(x, y, z, w, cell_ids, row_ids, col_ids, vnames, vars, n_min,
      digits=1, digits2=0, event=2, type=1)

Arguments

x

The factor x for calculations

y

NOT USED

z

NOT USED

w

Weights for x factor, only if calculating weighted frequencies.

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 decimal places (for percentages)

digits2

Integer indicating the number of decimal places (N, needed if N is not integer because of weighting)

event

The Number of factor level to calculate frequencies. from 1 to nlevels(x)

type

Type of representation, one of following.

• 1, pct (n)

• 2, n (pct)

• 3, pct

• 4, n

• 5, pct (n/N)

Examples

# NOT RUN {
sex     <- factor(rbinom(1000, 1, 0.4), labels=c('Men', 'Women'))
event   <- factor(rbinom(1000, 1, 0.1), labels=c('no',  'yes'))
decades <- rbinom(1000, 3, 0.5)
decades <- factor(decades, labels=c('[35,45)','[45,55)','[55,65)','[65,75)'))
d<-data.frame(sex, decades, event)

tabular.ade(x_vars=c('event'), xname=c('Event'),
   rows=c('sex','ALL'), rnames=c('Gender'),
   cols=c('decades', 'ALL'),   cnames=c('Age decades'),
   data=d, FUN=eventpct_cell)


# }