R-svd()函数-'x'中的无穷或缺失值 [英] R - svd() function - infinite or missing values in 'x'

问题描述

我一直在收到此错误.我确定矩阵中没有任何非数字条目.我还尝试过估算矩阵，没有用.

I am constantly getting this error. I am sure the matrix does not have any non-numeric entries. I also tried imputing the matrix, did not work.

任何人都知道错误可能是什么吗?

Anyone know what the error might be?

fileUrl <- "https://dl.dropboxusercontent.com/u/76668273/kdd.csv";
download.file(fileUrl,destfile="./kdd.csv",method="curl");
kddtrain <- read.csv("kdd.csv");
kddnumeric <- kddtrain[,sapply(kddtrain,is.numeric)];
kddmatrix <- as.matrix(kddnumeric);
svd1 <- svd(scale(kddmatrix));

推荐答案

您有由全零组成的列.在全零的列上使用scale会返回由NaN组成的列.要解决此问题，请删除全为零的列(svd不会显示任何有关其的新内容)，或者在使用scale后将NaN列替换为零.

You have columns composed of all zeroes. Using scale on a column of all zeroes returns a column composed of NaN. To solve this, remove columns where you have all zeroes (svd will not reveal anything new about them), or replace NaN columns with zero after using scale.

可复制的示例:

mat <- matrix(c(1,2,3,0,0,0,2,4,6,5,12,13),nrow = 3)
     # [,1] [,2] [,3] [,4]
# [1,]    1    0    2    5
# [2,]    2    0    4   12
# [3,]    3    0    6   13
scale(mat)
     # [,1] [,2] [,3]       [,4]
# [1,]   -1  NaN   -1 -1.1470787
# [2,]    0  NaN    0  0.4588315
# [3,]    1  NaN    1  0.6882472
# attr(,"scaled:center")
# [1]  2  0  4 10
# attr(,"scaled:scale")
# [1] 1.000000 0.000000 2.000000 4.358899
svd(mat) #fine
svd(scale(mat)) # not fine

这篇关于R-svd()函数-'x'中的无穷或缺失值的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！