Dear Yawo,
I would suggest that you learn to use R, rather than thrashing around
blindly and expecting or hoping to get others to do your work for you.
To get you started, the characteristics that you call "labels" are
stored as *attributes* of the columns of your tibble/data frame. E.g.
Thanks for all. Here is output from dput. I used a different dataset
containing categorical variables since the previous one is on a different
computer.
In the following dataset, my interest is in getting frequencies and
barplots for the two variables: Training and Dance, with value labels
displa
Yes. Most attachments are stripped by the server.
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Fri, Feb 7, 2020 at 5:34 PM John Kane wrote:
> Hi,
> Could y
Hi,
Could you upload some sample data in dput form? Something like
dput(head(Scratch, n=13)) will give us some real data to examine. Just copy
and paste the output of dput(head(Scratch, n=13))into the email. This is
the best way to ensure that R-help denizens are getting the data in the
exact form
Maybe it helps searching at https://rseek.org/ for "SPSS to R transition
value labels".
In particular
https://cran.r-project.org/web/packages/expss/vignettes/labels-support.html
seems useful, as well as
https://www.r-bloggers.com/migrating-from-spss-to-r-rstats/
best regards,
Heinz
Jim Lemon wro
Thanks Jim:
So one option is to go through the data, select all the categorical
variables I want and re-define them as factor variables ? As in the
following example for gender?
mydata$sex<- factor(mydata$sex, levels = c(1,2), labels = c("male",
"female"))
thanks - cY
On Fri, Feb 7, 2020 at 4:
Hi Yawo,
>From your recent post, you say you have coerced the variables to
factors. If so, perhaps:
as.character(x) is what you want.
If not, creating a new variable like this:
Scratch$new_race<-factor(as.character(Scratch$race),levels=c("WHITE","BLACK"))
may do it. Note the "levels" argument t
Thanks for all your assistance
Attached please is the Rdata scratch I have been using
-
> head(Scratch, n=13)
# A tibble: 13 x 6
ID maritalsex racepaeducspeduc
1 1 3 [DIVORCED] 1
Thanks, I'll check it out.
On Fri, Feb 7, 2020 at 1:08 PM Martin Morgan
wrote:
> Probably have more success asking on https://support.bioconductor.org.
>
> Martin Morgan
>
> On 2/7/20, 12:57 PM, "R-help on behalf of pooja sinha" <
> r-help-boun...@r-project.org on behalf of pjsinh...@gmail.com>
Probably have more success asking on https://support.bioconductor.org.
Martin Morgan
On 2/7/20, 12:57 PM, "R-help on behalf of pooja sinha"
wrote:
Hi All,
I have a file list consisting of Chromosome, Start , End & Methylation
Difference in the following format in excel:
Hi All,
I have a file list consisting of Chromosome, Start , End & Methylation
Difference in the following format in excel:
Chrom Start End Meth. Diff
chr1 38565900 38566000 -0.20276818
chr1 38870400 38870500 -0.342342342
chr1 39469400 39469500 -0.250260552
c
What does your data look like after importing? -- see ?head and ?str to
tell us. Show us the code that failed to provide "labels." See the posting
guide below for how to post questions that are likely to elicit helpful
responses.
I know nothing about the haven package, but see ?factor or go throug
Hello,
I am just transitioning from SPSS to R.
I used the haven library to import some of my spss data files to R.
However, when I run procedures such as frequencies or crosstabs, value
labels for categorical variables such as gender (1=male, 2=female) are not
shown. The same applies to many oth
Dear all,
I am using the spdep package to compute Local Moran Index.
My problem is that I am using 3D coordinates (x,y,z), and I would like to
compute the k-nearest neighbours (k=10) for each point in my 3D space. I have
already done this in 2D, by doing the following:
>neighs_k <- knn2nb(kn
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