r-tutorial
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r-tutorial [2011/10/12 23:57] liuyipei |
r-tutorial [2011/10/13 00:00] liuyipei |
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| ====Basics==== | ====Basics==== | ||
| - | * Borrowed | + | * Basics borrowed |
| < | < | ||
| # R is best used as an interactive environment for statistical analysis. | # R is best used as an interactive environment for statistical analysis. | ||
| Line 280: | Line 280: | ||
| load(file=" | load(file=" | ||
| ls() | ls() | ||
| - | | ||
| - | # source - read and execute from a text file containing an R script | + | </ |
| - | # 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[' | + | |
| - | ttest.result | + | |
| - | names(ttest.result) | + | |
| - | ttest.result$statistic | + | |
| - | ttest.result$p.value | + | |
| - | + | ||
| - | help(cor.test) | + | |
| - | cor.results <- cor.test(my.data[' | + | |
| - | + | ||
| - | help(chisq.test) | + | |
| - | chisq.results <- chisq.test(pheno.data$rides.bike, | + | |
| - | chisq.results <- chisq.test(table(pheno.data$rides.bike, | + | |
| - | + | ||
| - | help(prcomp) | + | |
| - | prcomp.results <- prcomp(my.data) | + | |
| - | my.data[is.na(my.data)] <- 0 | + | |
| - | prcomp.results <- prcomp(my.data) | + | |
| - | + | ||
| - | </ | + | |
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