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 summary 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 to clean the data set but as a nearly complete novice in R I am not certain how to do this. Any help at all with this would be much appreciated. Thanks so much.
Kind Regards,
Tara Adcock.
Data import R: some explanatory variables not showing up correctly in summary
9 messages · Tara Adcock, Rui Barradas, Ulrik Stervbo +4 more
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 summary 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 to clean the data set but as a nearly complete novice in R I am not certain how to do this. Any help at all with this would be much appreciated. Thanks so much.
Kind Regards,
Tara Adcock.
[[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Hi Tara, It seems that you categorise and count for each category. Could it be that 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, 17:30:
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 summary
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 to clean the data set but as a nearly complete novice in R I am not certain how to do this. Any help at all with this would be much appreciated. Thanks so much.
Kind Regards,
Tara Adcock.
[[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Check for leading or trailing spaces in the strings in your data. dput(dataset) would show them. 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 that 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, 17:30:
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
summary
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
to
clean the data set but as a nearly complete novice in R I am not certain how to do this. Any help at all with this would be much appreciated.
Thanks
so much.
Kind Regards,
Tara Adcock.
[[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/ posting-guide.html and provide commented, minimal, self-contained, reproducible code.
It looks like your printouts are based on the R summary() function? The function lists the number of cases in the 5 largest categories when the variable is coded as a function. Then it indicates how many other categories are present. This is described on the manual page for function summary(). In the first case the duplicates probably represent cases in your source data (a spreadsheet?), where you have inadvertently put a space at the end of the label, e.g. "combination", and "combination ". The answers to both questions are easy to find with the levels() function: levels(yourdataframe$Position) This will list all of the factor levels in variable Position for you. If there are extras spaces and you were using read.csv() to import the data, use the strip.white=TRUE argument to delete leading and trailing spaces. This is also documented on the manual page for function read.csv(). One of the problems with spreadsheets is that these extra spaces are not readily apparent. ------------------------------------- David L Carlson Department of Anthropology Texas A&M University College Station, TX 77840-4352 -----Original Message----- From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Ulrik Stervbo Sent: Thursday, June 1, 2017 10:50 AM To: Rui Barradas <ruipbarradas at sapo.pt>; Tara Adcock <taraadcock1 at hotmail.com>; r-help at r-project.org Subject: Re: [R] Data import R: some explanatory variables not showing up correctly in summary Hi Tara, It seems that you categorise and count for each category. Could it be that 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, 17:30:
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 summary
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 to clean the data set but as a nearly complete novice in R I am not certain how to do this. Any help at all with this would be much appreciated. Thanks so much.
Kind Regards,
Tara Adcock.
[[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
It looks like your printouts are based on the R summary() function? The function lists the number of cases in the 5 largest categories when the variable is coded as a FACTOR. David C -----Original Message----- From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of David L Carlson Sent: Thursday, June 1, 2017 11:07 AM To: Ulrik Stervbo <ulrik.stervbo at gmail.com>; Rui Barradas <ruipbarradas at sapo.pt>; Tara Adcock <taraadcock1 at hotmail.com>; r-help at r-project.org Cc: William Dunlap via R-help <r-help at r-project.org> Subject: Re: [R] Data import R: some explanatory variables not showing up correctly in summary It looks like your printouts are based on the R summary() function? The function lists the number of cases in the 5 largest categories when the variable is coded as a function. Then it indicates how many other categories are present. This is described on the manual page for function summary(). In the first case the duplicates probably represent cases in your source data (a spreadsheet?), where you have inadvertently put a space at the end of the label, e.g. "combination", and "combination ". The answers to both questions are easy to find with the levels() function: levels(yourdataframe$Position) This will list all of the factor levels in variable Position for you. If there are extras spaces and you were using read.csv() to import the data, use the strip.white=TRUE argument to delete leading and trailing spaces. This is also documented on the manual page for function read.csv(). One of the problems with spreadsheets is that these extra spaces are not readily apparent. ------------------------------------- David L Carlson Department of Anthropology Texas A&M University College Station, TX 77840-4352 -----Original Message----- From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Ulrik Stervbo Sent: Thursday, June 1, 2017 10:50 AM To: Rui Barradas <ruipbarradas at sapo.pt>; Tara Adcock <taraadcock1 at hotmail.com>; r-help at r-project.org Subject: Re: [R] Data import R: some explanatory variables not showing up correctly in summary Hi Tara, It seems that you categorise and count for each category. Could it be that 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, 17:30:
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 summary
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 to clean the data set but as a nearly complete novice in R I am not certain how to do this. Any help at all with this would be much appreciated. Thanks so much.
Kind Regards,
Tara Adcock.
[[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
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 that 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, 17:30:
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
summary
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
to
clean the data set but as a nearly complete novice in R I am not certain how to do this. Any help at all with this would be much appreciated.
Thanks
so much.
Kind Regards,
Tara Adcock.
[[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/ posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
David Winsemius Alameda, CA, USA
On Thu, 1 Jun 2017, Rui Barradas wrote:
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
Absolutely. It would also help to see what the unique values of each column *really* are. To that end run and report the results of this: lapply(your.data.frame, function(x) unique(as.character(x))) I'll bet you have both "combination" and "combination " as values or something similar where two different strings look to your eye to be the same when printed by summary(). HTH, Chuck
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 summary
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 to clean the
data set but as a nearly complete novice in R I am not certain how to do
this. Any help at all with this would be much appreciated. Thanks so much.
Kind Regards,
Tara Adcock.
[[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Charles C. Berry Dept of Family Medicine & Public Health cberry at ucsd edu UC San Diego / La Jolla, CA 92093-0901 http://biostat.ucsd.edu/ccberry.htm
Re-importing the data with read.table's strip.white=TRUE argument may be an easier way to deal with the problem (if the problem is leading or trailing whitespace). Bill Dunlap TIBCO Software wdunlap tibco.com On Thu, Jun 1, 2017 at 9:17 AM, David Winsemius <dwinsemius at comcast.net> wrote:
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
that
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,
17:30:
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
summary
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
to
clean the data set but as a nearly complete novice in R I am not
certain
how to do this. Any help at all with this would be much appreciated.
Thanks
so much.
Kind Regards,
Tara Adcock.
[[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/ posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/
posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
David Winsemius Alameda, CA, USA