创建具有不同行尺寸的表 [英] Creating table with different row dimensions
本文介绍了创建具有不同行尺寸的表的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
假设我有一个这样的表:
Let's say I got a table like this:
data <- c(1,2,3,6,5,6,9,"LC","LC","HC","HC","LC","HC","ALL")
attr(data,"dim") <- c(7,2)
data
[,1] [,2]
[1,] "1" "LC"
[2,] "2" "LC"
[3,] "3" "HC"
[4,] "6" "HC"
[5,] "5" "LC"
[6,] "6" "HC"
[7,] "9" "ALL"
现在我想操纵数据,使其看起来像这样:
Now I want to manipulate the data so it looks like this:
[,"LC"] [,"HC"] [,"ALL"]
[1,] "1" "3" "9"
[2,] "2" "6"
[3,] "5" "6"
在 R 中是否可以执行此操作?我应该尝试另一种访问我的数据的方法吗?
Is there a way to do this in R or is it just impossible and should I try another way of getting access to my data?
推荐答案
使用可以非常接近分割
。这将返回带有所需值的列表,然后可以使用 lapply
或任何其他列表操作函数:
You can get very close by using split
. This returns a list with the values you wanted and you can then use lapply
or any other list manipulation function:
split(data[, 1], data[, 2])
$ALL
[1] "9"
$HC
[1] "3" "6" "6"
$LC
[1] "1" "2" "5"
如果必须具有矩阵格式的输出,则建议您使用NA填充简短向量:
If you must have the output in matrix format, then I suggest you pad the short vectors with NA:
x <- split(data[, 1], data[, 2])
n <- max(sapply(x, length))
pad_with_na <- function(x, n, padding=NA){
c(x, rep(padding, n-length(x)))
}
sapply(x, pad_with_na, n)
结果如下:
ALL HC LC
[1,] "9" "3" "1"
[2,] NA "6" "2"
[3,] NA "6" "5"
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