View source: R/helper.functions.r
wtd.quantile | R Documentation |
Takes in variable and calculates desired quantile values, works with sampling weights. Makes use of the wtd.quantile function from the Hmisc package. See wtd.stats
documentation for details.
wtd.quantile(x, w = NULL, data, q = c(5, 10, 25, 50, 75, 90, 95),
digits = 3, ...)
x |
A variable (must be numeric), should be in dataset$var form unless dataset specified in optional data argument. |
w |
(Optional) Sampling weights of variable, must be numeric; should be in dataset$weightvar form unless dataset specified in optional data argument. |
data |
(Optional) Name of dataset that contains x (and w) variable. |
q |
(Optional) The quantiles you want calculated as a number or vector of numbers. Input as percentages. For median only, q=50. For quartiles, q=c(25, 50, 75). |
digits |
(Optional) Number of decimal places reported in result (defaults to 3). |
... |
(Optional) Additional arguments passed to Hmisc::wtd.quantile function. |
Returns quantile values of a variable, a vector of numeric values.
library(RCPA3)
wtd.quantile(x=nes$ft.police, q=c(25, 50, 75), w=nes$wt)
wtd.quantile(x=nes$ft.police, q=c(25, 50, 75))
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.