##
##
library(unpakathon)
cut.prop <- 0.01 #this is the proportion of observations to clip from
#both the top and bottom of the distribution
phenos <- unique(phenolong$variable)
#phenos <- phenos[!(phenos%in%"germinants.41d")]
outlierlst <- lapply(phenos,function(x)
{
print(x)
df <- findOutlier(phenolong,x,cut.prop)
print(dim(df))
df
})
#sapply(outlierlst,dim)
tmp <- lapply(outlierlst,function(x){
if (dim(x)[1]>0)
{
write.csv(file=paste0(x$variable[1],"-outliers.csv"),row.names=F,x)
}
})
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