Hi everyone,
I would like to identify the case by groups that is just bigger that
avg plus sd. For example, using species as group and petal.wid as my
variable in the iris data.
What's the better way to doit? creating a function?
So,the question is to identify the single element of each species that is just
larger than a cut-off point (i.e. larger than mean + sd)
I made this, but I can not make a relation to to orginal data for identifiying
the cases.If you have some lights please share it.
data(iris)
library(plyr)
petal.wid.avg <-ddply(iris,.(Species),function(df)
return(c(petal.wid.avg=mean(df$Petal.Width),petal.wid.sd=sd(df$Petal.Width)))
)
petal.wid.avg$avgsd <-petal.wid.avg$petal.wid.avg +petal.wid.avg$petal.wid.sd
petal.wid.avg
Thanks in advance:
José
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