Clayton -
From your explanation, it sounds like you want to create
a new file removing the "Location" variable, and all the
variables that have the string "Ambient" or "Name" in their names.
Suppose that your data frame is called mydata, and you wish to
create a reduced csv file called "mydata.csv"
write.csv(mydata[,grep('Location|Ambient|Name',names(mydata),invert=TRUE)],
file='mydata.csv')
should do what you want, but without a more concrete example, it's
just a guess.
- Phil Spector
Statistical Computing Facility
Department of Statistics
UC Berkeley
spec...@stat.berkeley.edu
On Tue, 15 Feb 2011, Clayton Dorrity wrote:
I need help.
I have very big .csv files with many unnecessary columns. From the original
.csv files I would like to create a new .csv file with just the columns I
need.
For example:
The original column heading are: Date, Time, Location, Sensor Name, Sensor
Serial, Ambient Temp, IR Temp, Sensor Name.1, Sensor Serial.1, Ambient
Temp.1, IR Temp.1, Sensor Name.2, Sensor Serial.2, Ambient
Temp.2,..........Sensor Name.45
I would like to create a new .csv file with only Date, Time, Sensor Serial,
IR Temp, Sensor Serial.1, IR Temp.1, Sensor Serial.2, IR Temp.2,.....Sensor
Serial.45, IR Temp.45, etc
Any help on this matter would be greatly appreciated.
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