File:DataOutliers.png
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Original file (1,020 × 1,096 pixels, file size: 172 KB, MIME type: image/png)
Summary
puree <- read.csv("https://gist.githubusercontent.com/arraytools/47d3a46ae1f9a9cd47db350ae2bd2338/raw/b5cccc8e566ff3bef81b1b371e8bfa174c98ef38/dataOutliers.csv", header = FALSE)
plot(puree[,1], puree[, 2], xlim=c(0,1), ylim=c(0,1), xlab="X", ylab="Y")
abline(0,1, lty=2)
abline(lm(V2 ~ V1, data = puree))
# robust regression
require(MASS)
summary(rlm(V2 ~ V1, data = puree))
abline(rr.huber <- rlm(V2 ~ V1, data = puree), col = "blue")
# almost overlapped with lm()
# quantile regression
library(quantreg)
abline(rq(V2 ~ V1, data=puree, tau = 0.5), col = "red")
# even worse
# theilsen
library(RobustLinearReg)
abline(theil_sen_regression(V2 ~ V1, data=puree), col = "cyan")
# loess
lines(lowess(puree$V1, puree$V2), col='green')
legend(0, 1, c("lm", "rlm", "quantile", "theilsen", "lowess"),
col = c("black", "blue", "red", "cyan", "green"), lty=1, lwd=2)
File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 14:27, 7 March 2024 | | 1,020 × 1,096 (172 KB) | Brb (talk | contribs) | {{Pre}} puree <- read.csv("https://gist.githubusercontent.com/arraytools/47d3a46ae1f9a9cd47db350ae2bd2338/raw/b5cccc8e566ff3bef81b1b371e8bfa174c98ef38/dataOutliers.csv", header = FALSE) plot(puree[,1], puree[, 2], xlim=c(0,1), ylim=c(0,1), xlab="X", ylab="Y") abline(0,1, lty=2) abline(lm(V2 ~ V1, data = puree)) # robust regression require(MASS) summary(rlm(V2 ~ V1, data = puree)) abline(rr.huber <- rlm(V2 ~ V1, data = puree), col = "blue") # almost overlapped with lm() # quantile regressio... |
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