R中具有加权数据的频率表 [英] Frequency tables with weighted data in R

问题描述

我需要按年龄和婚姻状况计算出个人的频率，因此通常我会使用:

I need to calculate the frequency of individuals by age and marital status so normally I'd use:

    table(age, marital_status)

但是，数据采样后每个人的权重都不同.如何将其纳入频率表?

However each individual has a different weight after the sampling of the data. How do I incorporate this into my frequency table?

推荐答案

您可以使用软件包survey中的函数svytable，也可以使用rgrs中的wtd.table.

You can use function svytable from package survey, or wtd.table from rgrs.

rgrs现在称为questionr:

df <- data.frame(var = c("A", "A", "B", "B"), wt = c(30, 10, 20, 40))

library(questionr)
wtd.table(x = df$var, weights = df$wt)
#  A  B 
# 40 60

使用dplyr也是可能的:

library(dplyr)
count(x = df, var, wt = wt)
# # A tibble: 2 x 2
#        var     n
#     <fctr> <dbl>
#   1      A    40
#   2      B    60

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