I have a data file, 'precip_projected.csv,' that starts like this:
name,easting,northing,elev,sampdate,prcp
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-01,0.59
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-02,0.08
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-03,0.1
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-04,0
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-05,0
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-06,0.02
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-07,0.05
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-08,0.1
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-09,0
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-10,0.02
There are a bunch of NAs in the data file.
The command to read it produces an error:
rainfall <- read.csv('../data/precipitation/precip_projected.csv', header = T,
sep = ',', as.is = T)
Error in `$<-.data.frame`(`*tmp*`, date, value = numeric(0)) :
replacement has 0 rows, data has 113569
Is the error generated by finding a date that looks like the number zero
or by a prcp value of zero?
BTW, I get the same error if I specify stringsAsFactors = F.
TIA,
Rich
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