On 19/10/2016 4:54 PM, Rich Shepard wrote:
   The file, daily_records.dat, contains these data:

"station","date","amount"
"0.3E",2014-01-01,
"0.3E",2014-01-02,
"0.3E",2014-01-03,0.01
"0.3E",2014-01-04,0.00
"0.3E",2014-01-05,0.00
"0.3E",2014-01-06,0.00
"0.3E",2014-01-07,0.10
"0.3E",2014-01-08,0.22
"0.3E",2014-01-09,0.49

   Using read.table("daily_records.dat", header = TRUE, sep = ",", quote =
"\"\"") the data are assigned to a data.frame named 'rain.'

   I expect the structure to show station and date as factors with amount as
numeric, but they're all factors:

str(rain)
'data.frame':   341 obs. of  3 variables:
  $ station: Factor w/ 6 levels "0.3E","0.6W",..: 1 1 ...
  $ date   : Factor w/ 62 levels "2013-12-01","2013-12-02",..: 32 33 34 ...
  $ amount : Factor w/ 48 levels "","0.00","0.01",..: 1 1 3 2 ...

   Why is amount taken as a factor rather than numeric? I do not recall
having numbers read as factors before this.

I don't get that from those 9 observations, so there's likely something else going on further down in the file.

Try which(is.na(as.numeric(as.character(rain$station)))) to find out which lines are causing problems for that column, and similarly for rain$amount.

Duncan Murdoch



   I expect to need to convert dates using as.Date() but not to convert
numbers.

TIA,

Rich

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