On Nov 14, 2009, at 5:24 PM, frenchcr wrote:
I tried the following but it does the opposite of what i want:
new_data5 <- subset(new_data4, date_abandoned > "01010000")
I want to remove the rows with dates and leave just the rows without
a date.
This removes all the rows that dont have a date in the
date_abandoned column
...on a positive note, as i did this next...
dim(new_data5)
[1] 263 80
....i now know that i have 263 dates in that column :)
I want to remove the 263 rows with dates and leave just the rows
without a
date.
Con=me on frenchcr. Stop making us guess. Give us enough information
to work with. You asked for something which I construed as saying you
wanted dates greater than the the first day of the year 101. You did
not address this question.
What do you get with str(new_data4) and
summary(new_data4$date_abandoned) ? In order to know what sort of
comparison to use we need to know what the data looks like.
Even better if you offered the output from:
small <- head(new_data4, 20)
dump("small", 20),
--
David
David Winsemius wrote:
On Nov 14, 2009, at 1:21 PM, frenchcr wrote:
I want to go through a column in data called
Bad name for a data.frame. Fortunes, "dog" and all that.
date_abandoned....data["date_abandoned"]....and remove all the rows
that
have numbers greater than 1,010,000.
Are you doing archeology? Given what you say next I wondered what
range you were really asking for.
The dates are in the format 20091114 so i'm just going to treat them
as
numbers for clean up purposes.
I know that i use subset but not sure how to proceed from there.
subdata <- subset(data, date_abandoned > "01010000"()
The problem with > "1010000" is that your specified minimum point had
an insufficient number of "places" to be in YYYYMMDD format.
--
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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David Winsemius, MD
Heritage Laboratories
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.
