Getting Started with R

Some Commands

Misc

data     <- read.table(filename,header=TRUE)           # Read tab or space delimited file with a header
csv_data <- read.table(filename,header=TRUE,sep=',')   # Read csv files with a header

v1       <- c(1,2,3,4,5,6,7)                           # Create a vector from these values
v2       <- c(1:10)                                    # Create a vector from 1 to 10
v3       <- c(v1,v2)                                   # Concatenate the vectors

matrix1  <- cbind(v1,v2)                               # Column bind into a 2 x n matrix

ls                                                     # List objects

Mean, SD, etc.

> sapply(h, length)
WList_Len 
     4599 
> sapply(h, mean)
WList_Len 
  15.6845 
> sapply(h, sd)
WList_Len 
 15.74873 
> 

Some Links

• http://www.statmethods.net/interface/workspace.html
• http://www.rstudio.com/ide/docs/using/history

• https://www.zoology.ubc.ca/~schluter/R/calculate/
• http://www.r-tutor.com/elementary-statistics/numerical-measures/mean
• http://stat.ethz.ch/R-manual/R-patched/library/stats/html/median.html
• http://www.cyclismo.org/tutorial/R/index.html
• http://answers.oreilly.com/topic/2597-how-to-compute-basic-statistics-with-r/
• http://grokbase.com/g/r/r-help

Personality Project

• http://www.personality-project.org/r/r.commands.html
• http://www.personality-project.org/r/r.guide.html
• http://personality-project.org/r/r.short.html
• http://www.personality-project.org/r/psych/HowTo/

Command History

files <- list.files(pattern="*.csv")
files

data <- lapply(files, read.table, sep=",", header=T)
data

stuff <- as.data.frame(do.call(rbind, data))
stuff

dim(stuff)


print(dframe)
print(stuff)

mean(stuff)
sd(stuff)

sapply(stuff, length)
sapply(stuff, mean)
sapply(stuff, sd)

getwd()
ls()
ls
options()
history()
history(max.show=Inf)