如果cloumn的值离群,则删除矩阵行 [英] Removing matrix rows if values of a cloumn are outliers
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问题描述
@ aL3xa在这里但这是一个向量.
There is a really cool and easy function by @aL3xa here but that is for a vector.
我有一个矩阵,并且说第2列是一个我想剔除异常值和相关行的变量.我要使用一个软件包异常算法,但它们似乎也适用于向量.有什么建议吗?
I have a matrix, and say column 2, is a variable that I want to chop off outliers and the associated row. There is a package outliers that I would like to use its algorithms, but they seem to be for a vector too. Any suggestions?
谢谢
推荐答案
从您链接的问题中获取一些代码:
Taking from some of the code from the question you linked:
# @aL3xa's function
remove_outliers <- function(x, na.rm = TRUE, ...) {
qnt <- quantile(x, probs=c(.25, .75), na.rm = na.rm, ...)
H <- 1.5 * IQR(x, na.rm = na.rm)
y <- x
y[x < (qnt[1] - H)] <- NA
y[x > (qnt[2] + H)] <- NA
y
}
set.seed(1)
x <- as.data.frame(matrix(rnorm(10000),ncol=100)) # 100 x 100 data frame
y <- remove_outliers(x[,2]) # look for outliers in columns 2
newx<-cbind(x,y)
newx2<-x[!is.na(x$y),]
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