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jaist
2013 Feb 28
1
help for an R automated procedures
...<-rep(19,19)
summary(sp1.loc1) #missing values present; abundance for sp1 at loc1
corrected
attach(sp1.loc1)
#Dealing with NAs:
install.packages("mice", dependencies = T) #ok (R at: home & work)
library(mice)
imp <- mice(sp1.loc1)
sp1.loc1 <- complete(imp)
summary(sp1.loc1) #jaust checking... No more Nas!
attach(sp1.loc1)
#Detecting univariate outliers
z.crit <- qnorm(0.9999)
subset(sp1.loc1, select = id, subset = abs(scale(v1)) > z.crit)
subset(sp1.loc1, select = id, subset = abs(scale(v2)) > z.crit)
morfo[47,6]
sort(v2[taxoc=="loc1"]) #the nearest ob...