On Mar 19, 2010, at 3:03 PM, Peter Keller wrote:
I have a number of space separated files of weather data, with some
equivalent column names, and differing number of fields in each
file. Some
of the files have 40 or more vars, but I only want a subset of the
fields.
I can use colClasses with read.table to drop some of the fields, but
only if
I know where those columns are in the first place, and they're not
always in
the same place. So I would like to be able to drop all unwanted
columns on
import, by name.
In addition, most fields have a Q (quality) field next to them,
and I need
to read of those as well, each Q next to its relevant field, such as
Temp, and rename to e.g., Temp.Q.
Those will probably get changed to Q.1, Q.2, etc by check.names()
Some example data:
Date HrMn I Type Dir Q I Spd Q Visby Q I Q Temp Q Dewpt Q Slp Q Pr
Amt I Q
19450101 0900 4 SAO 315 1 N 1.0 1 024000 1 N 1 -37.0 1 -45.9 1
1031.8 1 99
999.9 9 9
19450101 1000 4 SAO 315 1 N 1.0 1 024000 1 N 1 -35.9 1 -43.1 1
1032.2 1 99
999.9 9 9
19450101 1100 4 SAO 360 1 N 1.0 1 024000 1 N 1 -35.9 1 -43.1 1
1032.5 1 99
999.9 9 9
19450101 1200 4 SAO 315 1 N 1.0 1 024000 1 N 1 -36.4 1 -50.9 1
1032.9 1 99
999.9 9 9
19450101 1300 4 SAO 360 1 N 1.0 1 024000 1 N 1 -36.4 1 -43.1 1
1032.9 1 99
999.9 9 9
19450101 1400 4 SAO 315 1 N 1.0 1 016000 1 N 1 -36.4 1 -42.0 1
1032.5 1 99
999.9 9 9
19450101 1500 4 SAO 180 1 N 1.0 1 016000 1 N 1 -36.4 1 -45.3 1
1032.5 1 99
999.9 9 9
19450101 1600 4 SAO 360 1 N 1.0 1 024000 1 N 1 -37.5 1 -45.9 1
1032.9 1 99
999.9 9 9
So if I want to extract Date, HrMn, Temp, and the Q following Temp:
tmp1-read.table(ex.dat, sep= , strip.white=TRUE,
colClasses=c(character,character,
rep(NULL,11),numeric,factor,rep(NULL,8)),na.strings=999.9,
header=T)
But having to alter colClasses for every file, the fields of which may
change when next year's data is retrieved, is no fun. And is there
a way to
specify na.strings per column?
There might be if you wanted to write an as.Method for a new data
type. There was a recent answer to an r-help currency conversion
question that illustrated this approach.
--
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Sent from the R help mailing list archive at Nabble.com.
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David Winsemius, MD
West Hartford, CT
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