On Jun 1, 2017, at 8:57 AM, William Dunlap via R-help <
r-help at r-project.org> wrote:
Check for leading or trailing spaces in the strings in your data.
dput(dataset) would show them.
This function would strip any leading or trailing spaces from a column:
trim <-
function (s)
{
s <- as.character(s)
s <- sub(pattern = "^[[:blank:]]+", replacement = "", x = s)
s <- sub(pattern = "[[:blank:]]+$", replacement = "", x = s)
s
}
You could restrict it to non-mumeric columns with:
my_dfrm[ !sapply(my_dfrm, is.numeric) ] <- lapply( my_dfrm[
!sapply(my_dfrm, is.numeric) ], trim)
It would have the side-effect, (desirable in my opinion but opinions do
vary on this matter), of converting any factor columns to character-class.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Thu, Jun 1, 2017 at 8:49 AM, Ulrik Stervbo <ulrik.stervbo at gmail.com>
wrote:
Hi Tara,
It seems that you categorise and count for each category. Could it be
the method you use puts everything that doesn't match the predefined
categories in Other?
I'm only guessing because without a minimal reproducible example it's
difficult to do anything else.
Best wishes
Ulrik
Rui Barradas <ruipbarradas at sapo.pt> schrieb am Do., 1. Juni 2017,
Hello,
In order for us to help we need to know how you've imported your data.
What was the file type? What instructions have you used to import it?
Did you use base R or a package?
Give us a minimal but complete code example that can reproduce your
situation.
Hope this helps,
Rui Barradas
Em 01-06-2017 11:02, Tara Adcock escreveu:
Hi,
I have a question regarding data importing into R.
When I import my data into R and review the summary, some of my
explanatory variables are being reported as if instead of being one
variable, they are two with the same name. See below for an example;
Behav person Behav dog Position
**combination : 38 combination : 4** Bank :372
**combination : 7 combination : 4** **Island :119**
fast :123 fast : 15 **Island : 11**
slow :445 slow : 95 Land : 3
stat :111 stat : 14 Water :230
Also, all of the distances I have imported are showing up in the
along with a line entitled "other". However, I haven't used any other
distances?
Distance Distance.dog
2-10m :184 <50m : 35
<50m :156 2-10m : 27
10-20m :156 20-30m : 23
20-30m : 91 30-40m : 16
40-50m : 57 10-20m : 13
**(Other): 82 (Other): 18**
I have checked my data sheet over and over again and I think
standardised the data, but the issue keeps arising. I'm assuming I need
clean the data set but as a nearly complete novice in R I am not
how to do this. Any help at all with this would be much appreciated.
Kind Regards,
Tara Adcock.
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