# read .csv data file
myData = read.table("data_2x20.csv", header=TRUE)
# same, but defining explicitly the separator as tabulator: "\t", text is framed by double-quotes "sample01" and all lines must have same number of columns
myData = read.table("data_2x20.csv", header=TRUE, sep="\t", row.names=1, quote="", fill=FALSE)
# same, but using read.csv
myData = read.csv("mydata_text_file.csv", header=TRUE, sep="\t", row.names=1 )
# download and read .csv data from a web address
myData = read.table( url("http://www.nlpca.org/data_2x20.csv") , header=TRUE)
→ working with "data-frame" table
write.csv()
# ‘write.csv’ is a simple wrapper of write.table
# ‘write.csv’ always uses "." for the decimal point and a comma for the separator
write.csv(myData, file='myData.csv', quote = FALSE)
write.table()
# to define separator, decimal, and other output settings
write.table(myData, file = 'myData.tsv', append = FALSE, quote = FALSE, sep = "\t", eol = "\n", na = "missing", dec = ".", row.names = TRUE, col.names = NA, qmethod = "double")
writeLines()
# write strings to text file, line by line
mytext = c('A1','A2','A3')
fid <- file('output_file.txt')
writeLines( mytext , fid)
close(fid)
A1
A2
A3
http://www.r-tutor.com/r-introduction/data-frame/data-import
https://stat.ethz.ch/R-manual/R-devel/library/utils/html/read.table.html
https://stat.ethz.ch/R-manual/R-devel/library/utils/html/write.table.html