Hi Rosa,
you may take advantage of the extremevalues package.
https://cran.r-project.org/web/packages/extremevalues/extremevalues.pdf
An example:
set.seed(1023)
v3 <- c(rnorm(100, 0, 0.2), rnorm(5, 4, 0.1), rnorm(5, -4, 0.1))
v4 <- sample(v3, length(v3))
nam <- as.character(1:length(v4))
df <-
Hi Rosa,
Your data never seem to get through. Nevertheless, here is a suggestion:
rodat<-data.frame(id=1:20,age=sample(c("10-20","21-30","31-40"),20,TRUE),
weight=c(sample(40:70,18),110,120))
robp<-boxplot(weight~age,rodat)
rodat$id[which(rodat$weight %in% robp$out)]
Jim
On Mon, Sep 5, 2016 at
Dear all,
I have searched all over and didn“t found an answer :(
I need urgently to "extract" de identification of the weight outliers of
the participants of a study.
So, I have a data base with several variables:
id
weight
are 2 off them.
So, I've done a boxplot and found the weight have outli
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