我试图根据列值的相似性来查找/丢弃行,并使用以下示例代码:
vec1 <- c("B","D","E","NA")
vec2 <- c("B","D","E","NA")
vec3 <- c("B","C","E","NA")
vec4 <- c("B","D","E","NA")
vec5 <- c("B","NA","E","E")
vec6 <- c("B","NA","NA","NA")
mat1 <- cbind(vec1,vec2,vec3,vec4,vec5,vec6)
mat1
vec1 vec2 vec3 vec4 vec5 vec6
[1,] "B" "B" "B" "B" "B" "B"
[2,] "D" "D" "C" "D" "NA" "NA"
[3,] "E" "E" "E" "E" "E" "NA"
[4,] "NA" "NA" "NA" "NA" "E" "NA"
rows = apply(mat1, 1, function(i) length(unique(i)) > 1 )
mat2 <- mat1[rows, ]
vec1 vec2 vec3 vec4 vec5 vec6
[1,] "D" "D" "C" "D" "NA" "NA"
[2,] "E" "E" "E" "E" "E" "NA
[3,] "NA" "NA" "NA" "NA" "E" "NA"
如何更改上面的代码才能实现此目的?在unique
的帮助文件中,它表明存在incomparables
参数,是否已实现,是否可以使用?我不一定希望删除NA
只是忽略它们。
答案 0 :(得分:3)
来自上面的评论
rows = apply(mat1, 1, function(i) length(unique(i[!(i=="NA")]))>1)
答案 1 :(得分:1)
您需要为is.na
正确输入它们才能正常工作。目前它们是字符串,NA
已被归类为我们可以指定NA_character_
是安全的。
另外,我建议summary
以下是一些可以获取所需信息的表格。
length(unique(...))
基本上是table
> mat1[is.na(mat1)]
# character(0) ## not good
> mat1[mat1 == "NA"] <- NA_character_
> mat1[is.na(mat1)] ## notice the difference...
# [1] NA NA NA NA NA NA NA NA
> summary(mat1)
vec1 vec2 vec3 vec4 vec5 vec6
B :1 B :1 B :1 B :1 B :1 B :1
D :1 D :1 C :1 D :1 E :2 NA's:3
E :1 E :1 E :1 E :1 NA's:1
NA's:1 NA's:1 NA's:1 NA's:1
> apply(mat1, 2, function(x) length(table(x)))
vec1 vec2 vec3 vec4 vec5 vec6
3 3 3 3 2 1
> as.table(t(mat1))
A B C D
vec1 B D E
vec2 B D E
vec3 B C E
vec4 B D E
vec5 B E E
vec6 B