View source: R/big.read.table.R
big.read.table | R Documentation |
Read in chunks from a large file with row/column filtering to obtain a reasonable-sized data.frame.
big.read.table( file, nrows = 1e+05, sep = ",", header = TRUE, row.names = NULL, cols = NULL, rowfilter = NULL, as.is = TRUE, estimate = FALSE )
file |
the name of the file, obviously |
nrows |
the chunk size; consider reducing this if there are lots of columns |
sep |
by default we expect a CSV file |
header |
is |
row.names |
I really dislike row names |
cols |
for filtering column by name or number (supporting negative indexing) |
rowfilter |
a function that is assumed to take a chunk as a data frame and return a smaller data frame (with fewer rows), separately from the column filtering. |
as.is |
|
estimate |
do a preliminary estimation of the work to be done, and then have a chance to bail out if it looks like a bad idea |
This is very much 'in development' and could be buggy. I put it here as I used some example in one of my courses, but then I needed to update the package to keep CRAN happy. So here it is. Buyer Beware. - Jay
data(CO2) write.csv(CO2, "CO2.csv", row.names=FALSE) x <- big.read.table("CO2.csv", nrows=10) unlink("CO2.csv") head(x)
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