tabs: Weighted Crossresult

In questionr: Functions to Make Surveys Processing Easier

Weighted Crossresult

Description

Generate table with multiple weighted crossresult (full sample is first column). kable(), which is found in library(knitr), is recommended for use with RMarkdown.

Usage

tabs(
  df,
  x,
  y,
  type = "percent",
  percent = FALSE,
  weight = NULL,
  normwt = FALSE,
  na.rm = TRUE,
  na.show = FALSE,
  exclude = NULL,
  digits = 1
)

Arguments

df	A data.frame that contains x and (optionally) y and weight.
x	variable name (found in df). tabs(my.data, x = 'q1').
y	one (or more) variable names. tabs(my.data, x = 'q1', y = c('sex', 'job')).
type	'percent' (default ranges 0-100), 'proportion', or 'counts' (type of table returned).
percent	if TRUE, add a percent sign after the values when printing
weight	variable name for weight (found in df).
normwt	if TRUE, normalize weights so that the total weighted count is the same as the unweighted one
na.rm	if TRUE, remove NA values before computation
na.show	if TRUE, show NA count in table output
exclude	values to remove from x and y. To exclude NA, use na.rm argument.
digits	Number of digits to display; ?format.proptab for formatting details.

Details

tabs calls wtd.table on 'x' and, as applicable, each variable named by 'y'.

Author(s)

Pete Mohanty

Examples

data(hdv2003) 
tabs(hdv2003, x = "relig", y = c("qualif", "trav.imp"), weight = "poids")
result <- tabs(hdv2003, x = "relig", y = c("qualif", "trav.imp"), type = "counts")
format(result, digits = 3)
# library(knitr)
# xt <- tabs(hdv2003, x = "relig", y = c("qualif", "trav.imp"), weight = "poids")
# kable(format(xt))                        # to use with RMarkdown...

questionr documentation built on Feb. 16, 2023, 10:14 p.m.