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--- r-tutorial [2011/10/12 23:57]
liuyipei
+++ r-tutorial [2011/10/13 00:00]
liuyipei
@@ Line 280: / Line 280: @@
 load(file="my.image.RData")
 ls()
-# source - read and execute from a text file containing an R script
+</code>
-# Debugging - Two main options
-# Sprinkle cat(...) liberally throughout your code to monitor what is going on.
-# debug(), undebug() - Turn on/off step through debugging for a function
-# SIMPLE STATISTICS
+====Basics====
-# Some simple statistics - note that many functions that perform statistical tests
-# etc, in R return list objects.
-help(t.test)
-ttest.result <- t.test(my.data['Hairless',] ~ pheno.data$plays.tuba)
-ttest.result
-names(ttest.result)
-ttest.result$statistic
-ttest.result$p.value
-help(cor.test)
-cor.results <- cor.test(my.data['Hedgehog',], my.data['Shaggy',], method="spearman")
-help(chisq.test)
-chisq.results <- chisq.test(pheno.data$rides.bike, pheno.data$plays.tuba)
-chisq.results <- chisq.test(table(pheno.data$rides.bike, pheno.data$plays.tuba))
-help(prcomp)
-prcomp.results <- prcomp(my.data)
-my.data[is.na(my.data)] <- 0
-prcomp.results <- prcomp(my.data)
-</code>

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