On Apr 28, 2010, at 5:14 AM, arnaud Gaboury wrote:
Dear group,
Here is my data.frame :
avprix <-
structure(list(DESCRIPTION = c("CORN Jul/10", "CORN May/10",
"ROBUSTA COFFEE (10) Jul/10", "SOYBEANS Jul/10", "SPCL HIGH GRADE
ZINC USD
Jul/10",
"STANDARD LEAD USD Jul/10"), prix = c(-1.5, -1082, 11084, 1983.5,
-2464, -118), quantity = c(0, -3, 8, 2, -1, 0)), .Names =
c("DESCRIPTION",
"prix", "quantity"), row.names = c(NA, -6L), class = "data.frame")
avprix
DESCRIPTION prix quantity
1 CORN Jul/10 -1.5 0
2 CORN May/10 -1082.0 -3
3 ROBUSTA COFFEE (10) Jul/10 11084.0 8
4 SOYBEANS Jul/10 1983.5 2
5 SPCL HIGH GRADE ZINC USD Jul/10 -2464.0 -1
6 STANDARD LEAD USD Jul/10 -118.0 0
I need to remove the date (i.e. Jul/10 in this example) for each
element of
the DESCRIPTION column that contains the USD symbol. I am trying to
do this
using regular expressions, but must admit I am going nowhere.
My elements in the DESCRIPTION column and the dates can change every
day.
This searches for the pattern USD and then replaces any three
characters , forward-slash, any two characters:
> sub("USD+.*(.../..)", "", avprix$DESCRIPTION)
[1] "CORN Jul/10" "CORN May/10" "ROBUSTA
COFFEE (10) Jul/10"
[4] "SOYBEANS Jul/10" "SPCL HIGH GRADE ZINC "
"STANDARD LEAD "
This tightens up the matching by requiring that that the characters
after the slash be digits:
> sub("USD+.*(.../\\d{2})", "", avprix$DESCRIPTION)
[1] "CORN Jul/10" "CORN May/10" "ROBUSTA
COFFEE (10) Jul/10"
[4] "SOYBEANS Jul/10" "SPCL HIGH GRADE ZINC "
"STANDARD LEAD "
-- David.
>
TY for any help.
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David Winsemius, MD
West Hartford, CT
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
