fwf2csv {descr} | R Documentation |
Convert fixed width formated file into a tab separated one.
fwf2csv(fwffile, csvfile, names, begin, end, verbose = getOption("verbose"))
fwffile |
The fixed width format file. |
csvfile |
The csv file to be created. The fields will be separated by tab characters and there will be no quotes around strings. |
names |
A character vector with column names. |
begin |
A numeric vector with the begin offset of values in the fixed width format file. |
end |
A numeric vector with the end offset of values in the fixed width format file. |
verbose |
Logical: if |
The return value is NULL, but cvsfile
is created if the function is
successful. The file is a text table with fields separated by tabular
characters without quotes around the strings.
This function is useful if you have a very big fixed width formated file to read and read.fwf would be too slow. The function that does the real job is very fast because it is written in C, and the use of RAM is minimum.
NULL.
Jakson A. Aquino jalvesaq@gmail.com
For an efficient way of reading a csv file, see the function fread() from data.table package.
## Not run: tab <- rbind(c("state", 1, 2), c("municp", 3, 5), c("house", 6, 8), c("cond", 9, 9), c("sex", 10, 10), c("age", 11, 12), c("income", 13, 16)) fwf2csv("example.txt", "example.csv", names = tab[, 1], begin = as.numeric(tab[, 2]), end = as.numeric(tab[, 3])) df <- read.table("example.csv", header = TRUE, sep = "\t", quote = "") ## End(Not run)