Import of tabular data
Import of a tab-delimited tabular file
myDF <- read.delim("myData.xls", sep="\t")
Import of Excel file. Note: working with tab- or comma-delimited files is more flexible and preferred.
library(gdata)
myDF <- read.xls"myData.xls")
Import of Google Sheets. The following example imports a sample Google Sheet from here.
Detailed instructions for interacting from R with Google Sheets with the required googlesheets package are here.
library("googlesheets"); library("dplyr"); library(knitr)
gs_auth() # Creates authorizaton token (.httr-oauth) in current directory if not present
sheetid <-"1U-32UcwZP1k3saKeaH1mbvEAOfZRdNHNkWK2GI1rpPM"
gap <- gs_key(sheetid)
mysheet <- gs_read(gap, skip=4)
myDF <- as.data.frame(mysheet)
myDF
Export of tabular data
write.table(myDF, file="myfile.xls", sep="\t", quote=FALSE, col.names=NA)
Line-wise import
myDF <- readLines("myData.txt")
Line-wise export
writeLines(month.name, "myData.txt")
Copy and paste into R
On Windows/Linux systems
read.delim("clipboard")
On Mac OS X systems
read.delim(pipe("pbpaste"))
Copy and paste from R
On Windows/Linux systems
write.table(iris, "clipboard", sep="\t", col.names=NA, quote=F)
On Mac OS X systems
zz <- pipe('pbcopy', 'w')
write.table(iris, zz, sep="\t", col.names=NA, quote=F)
close(zz)
Homework 3A
Homework 3A: Object Subsetting Routines and Import/Export
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