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Boxplots are a nice way to compare the three sample sets of the Shoot-out 2012 data files.
There is a category variable (Set) in the data frame with the labels (Cal = Training Set, Test = Test Set and Val = Validation Set).
# IMPORTING THE SAMPLE SETS #
shootout2012.raw<-read.csv(“Shootout2012_R.csv”,header=TRUE)
# ORGANIZING THE DATA-FRAME #
NIT<-shootout2012.raw[,4:375]
Active<-shootout2012.raw[,3]
Set<-shootout2012.raw[,2]
shootout2012<-data.frame(Set=I(Set),Active=I(Active),
+ NIT=I(NIT))
names(shootout2012)
# “Set” “Active” “NIT”
attach(shootout2012)
boxplot(Active ~ Set,main=”Shootout 2012″,xlab=”Sample Sets”,
+ col=”grey”)
aggregate(Active ~ Set, summary, data=shootout2012)
Set Active.Min. Active.1st Qu. Active.Median Active.Mean
1 Cal 4.740 6.680 8.390 7.550
2 Test 5.120 7.050 7.950 7.386
3 Val 4.610 7.240 8.000 7.520
Active.3rd Qu. Active.Max.
1 8.750 9.790
2 8.142 8.480
3 8.135 8.580Previous posts in this blog about the Shoot-out 2012 data.
See also Label “Shootout 2012)”
Sample Sets” plots (Shootout-2012)
Shootout 2012: Test & Val Sets proyections
Working with Shootout – 2012 in R (001)
Shootout 2012 files
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