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**Subject Mathematics Statistics-R Programming**

Check the file: Questions.pdf

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# 4 numerical variables have one or two outliers: X31_60cm, totalrock, leafdebris, seedling

# X11_30cm has 3 outliers.

# qqplot of log + 1 transformation

par(mfrow=c(3,3))

for (i in 1:9) {

title <- paste("Log + 1 transformed",names(james.numerical[i]))

log.james.numerical <- log(james.numerical[,i]+1)

qqnorm(log.james.numerical , main=title, xlab="", ylab="")

qqline(log.james.numerical , col=2)

}...

# X11_30cm has 3 outliers.

# qqplot of log + 1 transformation

par(mfrow=c(3,3))

for (i in 1:9) {

title <- paste("Log + 1 transformed",names(james.numerical[i]))

log.james.numerical <- log(james.numerical[,i]+1)

qqnorm(log.james.numerical , main=title, xlab="", ylab="")

qqline(log.james.numerical , col=2)

}...

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