create a list of the named or unnamed arguments

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Unformatted text preview: put arguments; data.frame(v=1:4,ch=c("a","B","c","d"),n=10); load() load the datasets written with save shorter vectors are recycled to the length of the longest data(x) loads specified data sets list(...) create a list of the named or unnamed arguments; library(x) load add-on packages list(a=c(1,2),b="hi",c=3i); read.table(file) reads a file in table format and creates a data array(x,dim=) array with data x; specify dimensions like frame from it; the default separator sep="" is any whitespace; use dim=c(3,4,2); elements of x recycle if x is not long enough header=TRUE to read the first line as a header of column names; use matrix(x,nrow=,ncol=) matrix; elements of x recycle as.is=TRUE to prevent character vectors from being converted to facfactor(x,levels=) encodes a vector x as a factor tors; use comment.char="" to prevent "#" from being interpreted as gl(n,k,length=n*k,labels=1:n) generate levels (factors) by speca comment; use skip=n to skip n lines before reading data; see the ifying the pattern of their levels; k is the number of levels, and n is help for options on row naming, NA treatment, and others the number of replications read.csv("filename",header=TRUE) id. but with defaults set for expand.grid() a data frame from all combinations of the supplied vecreading comma-delimited files tors or factors read.delim("filename",header=TRUE) id. but with defaults set rbind(...) combine arguments by rows for matrices, data frames, and for reading tab-delimited files others ￿ read.fwf(file,widths,header=FALSE,sep="",as.is=FALSE) cbind(...) id. by columns read a table of f ixed width f ormatted data into a ’data.frame’; widths Slicing and extracting data is an integer vector, giving the widths of the fixed-width fields save(file,...) saves the specified objects (...) in the XDR platform- Indexing vectors independent binary format x[n] nth element save.image(file) saves all objects x[-n] all but the nth element cat(..., file="", sep=" ") prints the arguments after coercing to x[1:n] first n elements character; sep is the character separator between arguments x[-(1:n)] elements from n+1 to the end print(a, ...) prints its arguments; generic, meaning it can have differ- x[c(1,4,2)] specific elements ent methods for different objects x["name"] element named "name" format(x,...) format an R object for pretty printing x[x > 3] all elements greater than 3 write.table(x,file="",row.names=TRUE,col.names=TRUE, x[x > 3 & x < 5] all elements between 3 and 5 sep=" ") prints x after converting to a data frame; if quote is TRUE, x[x %in% c("a","and","the")] elements in the given set Variable conversion as.array(x), as.data.frame(x), as.numeric(x), as.logical(x), as.complex(x), as.character(x), ... convert type; for a complete list, use methods(...
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This document was uploaded on 04/10/2014.

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