处理适用和唯一的NA值 [英] Handling NA values in apply and unique
问题描述
我有一个114行16列的数据帧,其中的行是独立的,各列是它们的名称或不适用.例如,前3行如下所示:
I have a 114 row by 16 column data frame where the rows are individuals, and the columns are either their names or NA. For example, the first 3 rows looks like this:
name name.1 name.2 name.3 name.4 name.5 name.6 name.7 name.8 name.9 name.10 name.11 name.12 name.13 name.14 name.15
1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> Aanestad <NA> Aanestad <NA> Aanestad <NA>
2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> Ackerman <NA> Ackerman <NA> Ackerman <NA> Ackerman <NA>
3 <NA> <NA> <NA> <NA> <NA> <NA> Alarcon <NA> Alarcon <NA> Alarcon <NA> Alarcon <NA> <NA> <NA>
我想为所有唯一名称生成一个列表(如果每行有多个唯一名称)或向量(如果每行只有一个唯一名称),长度为114.
I want to generate a list (if multiple unique names per row) or vector (if only one unique name per row) of all the unique names, with length 114.
当我尝试apply(x,1,unique)
时,我得到一个2xNcol数组,其中有时第一行单元格为NA,有时第二行单元格为NA.
When I try apply(x,1,unique)
I get a 2xNcol array where sometimes the first row cell is NA and sometimes the second row cell is NA.
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
[1,] NA NA NA NA "Alquist" NA "Ayala" NA NA
[2,] "Aanestad" "Ackerman" "Alarcon" "Alpert" NA "Ashburn" NA "Baca" "Battin"
当我想要的只是:
Aanestad
Ackerman
Alarcon
...
在忽略NA的同时,我似乎无法弄清楚如何应用unique(). na.rm,na.omit等似乎不起作用.我觉得我想念一些真正简单的东西...
I can't seem to figure out how to apply unique() while ignoring NA. na.rm, na.omit etc don't seem to work. I feel like I'm missing something real simple ...
谢谢!
推荐答案
unique
似乎没有na.rm
参数,但是您可以在调用它之前自己删除缺失的值:
unique
does not appear to have an na.rm
argument, but you can remove the missing values yourself before calling it:
A <- matrix(c(NA,"A","A",
"B", NA, NA,
NA, NA, "C"), nr=3, byrow=TRUE)
apply(A, 1, function(x)unique(x[!is.na(x)]))
给予
[1] "A" "B" "C"
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