转置数据上的 PCA [英] PCA on transposed data

问题描述

我正在使用 R 进行一些 PCA 分析.一切正常，直到我想到我应该处理我的数据集的转置.然而，当我尝试对转置数据集进行 PCA 时，我无法解决它！

I am using R to do some PCA analysis. Everything was working fine until it occurred to me that I should be dealing with the transpose of my data set. However when I tried to do PCA on the transposed data set I could not get it to work out!

> sum(is.na(data_t))
[1] 1367
> dim(data_t)
[1]  599 9505
> data_t[1:4,1:4]
                             2'-PDE    7A5      A1BG     A2M
TCGA.A1.A0SD.01A.11R.A115.07  0.0153750 2.4105 0.9493333 0.24200
TCGA.A1.A0SE.01A.11R.A084.07  0.4669375 0.3635 0.2798333 1.03850
TCGA.A1.A0SH.01A.11R.A084.07 -0.0295625 1.8550 0.7486667 1.16050
TCGA.A1.A0SJ.01A.11R.A084.07  0.7919375 1.4080 0.7500000 1.67775

> pca2<-princomp(~.,data=data_t, na.action=na.omit)
 Error in `[.data.frame`(mf, , x) : undefined columns selected

> pca2<-princomp(data_t, na.action=na.omit)
 Error in princomp.default(data_t, na.action = na.omit) : 
  'princomp' can only be used with more units than variables

事实证明，如果变量多于单位，则不能使用 princomp.但是您可以使用 prcomp(参见 R - 'princomp' 只能用于比变量更多的单位)，但我仍然遇到错误！

Turns out that you cannot use princomp if you have more variables than units. But you can use prcomp (see R - 'princomp' can only be used with more units than variables) but I still get errors with that!

> pca2<-prcomp(data_t,na.action=na.omit)
 Error in svd(x, nu = 0) : infinite or missing values in 'x'

> pca2<-prcomp(~ ., data=data_t, na.action=na.omit, scale=TRUE)
 Error in `[.data.frame`(mf, , x) : undefined columns selected

推荐答案

我遇到了同样的问题.对我来说，当我为我的 data.frame 分配列名(非数字)时，它起作用了.例如，当 colnames(mydf) 是 (1,2,3,4,5) 时，我得到这个错误:

I had the same problem. For me, it worked when I assigned column names (other than numeric) to my data.frame. For example, when colnames(mydf) was (1,2,3,4,5), I got this error:

Error in [.data.frame(mf, , x) : undefined columns selected

我所做的是:

colnames(mydf) <- paste("var", 1:5, sep="")

然后运行princomp函数:

mypca <- princom(~. , data=myrdf, cor=F, na.action=na.exclude)

并且没有问题.

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