wtd.table | R Documentation |
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 )
x |
a vector |
y |
another optional vector for a two-way frequency table. Must be the same length as |
weights |
vector of weights, must be the same length as |
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. |
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'.
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
wtd.table
, table
, and the survey
package.
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)
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