[R] Filtering out bad data points

From: Robert A'gata <rhelpacc_at_gmail.com>
Date: Mon, 09 May 2011 20:57:00 -0400


I always have a question about how to do this best in R. I have a data frame and a set of criteria to filter points out. My procedure is to always locate indices of those points, check if index vector length is greater than 0 or not and then remove them. Meaning

dftest <- data.frame(x=rnorm(100),y=rnorm(100)); qtile <- quantile(dftest$x,probs=c(0.05,0.95)); badIdx <- which((dftest$x < qtile[1]) | (dftest$x > qtile[2])); if (length(badIdx) > 0) {

    dftest <- dftest[-idx,];

My question is that is there a more streamlined way to achieve this? Thank you.



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https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Tue 10 May 2011 - 01:02:44 GMT

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