Weighted one-way and two-way frequency tables.

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

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

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.

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

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

data(hdv2003)
wtd.table(hdv2003$sexe, weights=hdv2003$poids)
#>   Homme   Femme 
#> 5149382 5921844 
wtd.table(hdv2003$sexe, weights=hdv2003$poids, normwt=TRUE)
#>    Homme    Femme 
#>  930.228 1069.772 
table(hdv2003$sexe, hdv2003$hard.rock)
#>        
#>          Non  Oui
#>   Homme  892    7
#>   Femme 1094    7
wtd.table(hdv2003$sexe, hdv2003$hard.rock, weights=hdv2003$poids)
#>              Non        Oui
#> Homme 5109366.41   40016.02
#> Femme 5872596.42   49247.49