# R Commands used in Stat/For/Hort 571

The table below shows what commands are described in the accompanying Web pages for Stat/For/Hort 571. This includes the R Software Introduction page and the R Appendices. They are organized by topic as much as possible. Documents are identified as I = Introduction, A = Appendix Overview, 2 = Appendix 2, etc.

For more information on individual commands, see the appropriate Appendix for usage, and refer to the help pages available from within R (see Getting Help with R). Commands below indicated as [local] are not a regular part of R, but can be created by you with a local call to the function command as shown in the corresponding document.

### Table of Commands

 Command Comment Document(s) Descriptive Statistics IQR inter-quartile range 2 length length of data 2,5,7,10,11 max maximum of data 5 mean mean of data I,6,7,12 median median of data 10,11 range range of data 2,7 sd SD of data I,2,6,7 stem stem-leaf diagram I,2 summary summary of object 2,14 var variance of data 2,5,6,7,10 Modify Data abs absolute value 6,10,11 diff difference of values 2 log10 log base 10 of values 2 sqrt square root of values 6,7,9,10 sum sum of values 6,7 Plots abline draw y=a+bx line 7,9 hist histogram I,2,5,9 lines draw lines on plot 5,7 par set plot parameters A plot plot a data object 7,9,11,14 qqnorm normal quantile-quantile plot 8 Probability Distributions dbinom binomial distribution 4 dchisq chi-square distribution 5 dpois Poisson distribution 4 pbinom binomial probability 4 pchisq chi-square probability 5,6 pnorm normal probability 4,6,9 pt T probability 6 rnorm draw normal samples 5,6,7,9 qchisq chi-square probability 5,7 qnorm normal quantiles 4,7,9 qt T quantiles 6 sample draw samples from distribution 5 Inference: Testing & C.I.s anova show anova table 11,14 chisq.test chi-square test 13 cor.test correlation test 15 kruskal.test non-parametric analysis of variance 11 levene.test [local] Levene's test of variance 10,11 lm fit a linear model 11,14 norm.interval [local] C.I. for mean with known variance 7 oneway.test one-way analysis of variance 11 pairwise.t.test All pairs T-tests of mean 11,12 predict predicted values 14 prop.test test of proportion 6,7,10 p.table [local] table p-values from pairwise tests 12 t.test T-test of mean 6,7,9,10 var.interval [local] C.I. for variance 7 wilcox.test non-parametric two-sample test 10 Read & Print Data cat catenate (print) an object 11 print print an object 11 read.table read data table from file I,11,12,14,15 Arrange Data apply apply command to matrix 5,6,7,9 c combine data together I,2,5,6,7,8,9,10,11,13,14 cbind bind columns of data 9,12 data.frame create data frame 8,11,12,14 dimnames dimension names of matrix 12 duplicated find duplicated values 10,11 factor create a factor 11 is.na is data missing (NA)? 12 lapply apply command to list 11 list create a list object 12 matrix create matrix of values 5,6,7,9,13 order show order of sort 12 rep repeat values 11 seq create sequence of values 5,9,11 sort sort data 10,11,12 rbind bind rows of data 12 split split up list 11 t transpose matrix 12 tapply apply command by factor levels 11,12 unsplit unsplit to list 11 Using R: Help, Quit, etc. for for looping command 7,11 function create a function 6,7,9,10,11,12 help help on command I help.search help on topic I help.start start HTML help I if if conditional command 10,11 source source commands from file A q quit I

Maintained by Brian Yandell (byandell@wisc.edu) thu 30 oct 2003.