STAT 321 Lecture Notes - Empirical Distribution Function, Mosaic Plot, Euclidean Vector
Document Summary
Command help() example() c(), scan() seq() rep() data() View() str() read. csv(), read. table() library(), require() dim() length() ls() rm() names() hist() histogram() stem() table() xtabs() mosaicplot() cut() mean(), median() by() summary() var(), sd() sum() quantile() barplot() barchart() boxplot() bwplot() View some examples on the use of a command. Enter data manually to a vector in r. Load into a data. frame an existing data le. List all values of a variable with frequencies. Groups values of a variable into larger bins. Identify center of distribution apply function to a column split by factors. Find the position of a quantile in a dataset. Command plot() xyplot() lm() anova() predict() nls() residuals() sample() replicate() cumsum() ecdf() dbinom(), etc. dpois(), etc. pnorm(), etc. qt(), etc. pchisq(), etc. binom. test() prop. test() chisq. test() fisher. test() t. test() qqnorm(), qqline() addmargins() prop. table() par() power. t. test() anova() Analysis of variance (can use on results of lm()) Examples of usage help() help(mean) example() require(lattice) example(histogram) c(), rep() seq()
