R中具有不同级别的李克特分组 [英] Likert grouping with different levels in R

问题描述

我想使用Likert软件包，并按变量分组并绘制结果.问题是我要可视化的变体的级别不同.有办法解决吗?

I would like to use the Likert package and also to group by variable and plot the result. The problem is that I have different levels in the variabels I want to visualise. Is there a way around this ?

一个简单的例子来说明我的问题:

A simple example to illustrate my problem:

library(reshape)
library(likert)

foo <- data.frame(car = rep(c("Toyota", "BMW", "Ford"), times = 10),
                  satisfaction = c(1,3,4,7,7,6,2,3,5,5,5,2,4,1,7),
                  quality = c(1,1,3,5,4,3,6,4,3,6,6,1,7,2,7),
                  loyalty = c(1,1,3,5,4,3,9,4,3,10,6,1,7,2,8) )

foo[1:4] <- lapply(foo[1:4], as.factor)

likt <- likert(foo[,c(2:4)], grouping = foo$car)
plot(likt)

错误消息:

Error in likert(foo[, c(2:4)], grouping = foo$car) : 
  All items (columns) must have the same number of levels

推荐答案

与第一个答案相同，但现在作为组的函数.

Same as first answer, but now as a function of group.

foo[2:4] <- lapply(foo[2:4], factor, levels=1:10)
likt <- likert(foo[,c(2:4)], grouping = foo$car)
plot(likt)

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