R:加权摘要

R: weighted summary

我有一项调查,人们根据受欢迎程度对动物进行分类。 例如:

"first","second","third"
"dog","cat","rabbit"
"cat","rabbit","dog"
"dog","cat","rabbit"
"dog","cat","rabbit"

我想要显示顺序的图表。 所以第一列的动物体重为 3,第二列为 2,第三列为 1。

当我这样做时:

data<-read.csv("animals.csv", header=T)

f = summary(data$first)
s = summary(data$second)
t = summary(data$third)

f 中是数组:

dog      cat 
  3        1

In s 是数组:

cat      rabbit
  3           1

In t 是数组:

dog      rabbit
  1           3

而我显然做不到:

graph = 3*f + 2*s + t

因为他们没有同一列。 存在一些功能如何做到这一点。如何对这三列进行加权组合?

最后我需要:

dog      cat     rabbit
 10        9          5

我是 R 的初学者,感谢您的帮助。

要获得加权数字,您可以这样做:

table(c(rep(data$first, 3), rep(data$second, 2), data$third))

#   cat    dog rabbit 
#    9     10      5

数据

data <- structure(list(first = c("dog", "cat", "dog", "dog"), second = c("cat", 
"rabbit", "cat", "cat"), third = c("rabbit", "dog", "rabbit", 
"rabbit")), .Names = c("first", "second", "third"), class = "data.frame", row.names = c(NA, 
-4L))

注意:如果数据是以字符为因子导入的,可以这样做:

table(c(rep(as.character(data$first), 3), rep(as.character(data$second), 2), as.character(data$third)))