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dst
2012 Sep 05
2
using sqldf's read.csv.sql to read a file with "NA" for missing
...nge into NA;
and it returns characters if there are NA's in the initial rows.
(0 is a possible value so I can't filter out the 0's.)
field.types <- list(V1='char', V2='char', V3='real', V4='int', V5='real', V6='int', V7='real')
dtst <- read.csv.sql("./tmp.csv", header=FALSE, field.types=field.types, nrows=-1)
str(dtst)
'data.frame': 32 obs. of 7 variables:
$ V1: chr "2012-07-01" "2012-07-01" "2012-07-01" "2012-07-01" ...
$ V2: chr "15:50:00" "1...