Learn R Programming

questionr (version 0.7.8)

wtd.table: Weighted one-way and two-way frequency tables.

Description

Generate weighted frequency tables, both for one-way and two-way tables.

Usage

wtd.table(
  x,
  y = NULL,
  weights = NULL,
  digits = 3,
  normwt = FALSE,
  useNA = c("no", "ifany", "always"),
  na.rm = TRUE,
  na.show = FALSE,
  exclude = NULL
)

Value

If y is not provided, returns a weighted one-way frequency table of x. Otherwise, returns a weighted two-way frequency table of x and y

Arguments

x

a vector

y

another optional vector for a two-way frequency table. Must be the same length as x

weights

vector of weights, must be the same length as x

digits

Number of significant digits.

normwt

if TRUE, normalize weights so that the total weighted count is the same as the unweighted one

useNA

wether to include NA values in the table

na.rm

(deprecated) if TRUE, remove NA values before computation

na.show

(deprecated) if TRUE, show NA count in table output

exclude

values to remove from x and y. To exclude NA, use na.rm argument.

Details

If weights is not provided, an uniform weghting is used.

If some weights are missing (`NA`), they are converted to zero. In case of missing weights with `normwt=TRUE`, the observations with missing weights are still counted in the unweighted count. You have to filter them out before using this function if you don't want them to be taken into account when using `normwt`.

See Also

wtd.table, table, and the survey package.

Examples

Run this code
data(hdv2003)
wtd.table(hdv2003$sexe, weights=hdv2003$poids)
wtd.table(hdv2003$sexe, weights=hdv2003$poids, normwt=TRUE)
table(hdv2003$sexe, hdv2003$hard.rock)
wtd.table(hdv2003$sexe, hdv2003$hard.rock, weights=hdv2003$poids)

Run the code above in your browser using DataLab