[R] Value Labels: SPSS Dataset to R

[Jim Lemon]

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 to get the numeric values in the
same order as the original.

Jim

On Sat, Feb 8, 2020 at 7:32 AM Yawo Kokuvi <yawo1964 using gmail.com> wrote:
>
> 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           marital        sex      race    paeduc    speduc
>    <dbl>         <dbl+lbl>  <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl>
>  1     1 3 [DIVORCED]      1 [MALE]   1 [WHITE]        NA        NA
>  2     2 1 [MARRIED]       1 [MALE]   1 [WHITE]        NA        NA
>  3     3 3 [DIVORCED]      1 [MALE]   1 [WHITE]         4        NA
>  4     4 4 [SEPARATED]     1 [MALE]   1 [WHITE]        16        NA
>  5     5 3 [DIVORCED]      1 [MALE]   1 [WHITE]        18        NA
>  6     6 1 [MARRIED]       2 [FEMALE] 1 [WHITE]        14        20
>  7     7 1 [MARRIED]       2 [FEMALE] 2 [BLACK]        NA        12
>  8     8 1 [MARRIED]       2 [FEMALE] 1 [WHITE]        NA        12
>  9     9 3 [DIVORCED]      2 [FEMALE] 1 [WHITE]        11        NA
> 10    10 1 [MARRIED]       2 [FEMALE] 1 [WHITE]        16        12
> 11    11 5 [NEVER MARRIED] 2 [FEMALE] 2 [BLACK]        NA        NA
> 12    12 3 [DIVORCED]      2 [FEMALE] 2 [BLACK]        NA        NA
> 13    13 3 [DIVORCED]      2 [FEMALE] 2 [BLACK]        16        NA
>
> -----------------------------------------------------
>
> and below is my script/command file.
>
> *#1: Load library and import SPSS dataset*
> library(haven)
> Scratch <- read_sav("~/Desktop/Scratch.sav")
>
> *#2: save the dataset with a name*
> save(ScratchImport, file="Scratch.Rdata")
>
> *#3: install & load necessary packages for descriptive statistics*
> install.packages ("freqdist")
> library (freqdist)
>
> install.packages ("sjlabelled")
> library (sjlabelled)
>
> install.packages ("labelled")
> library (labelled)
>
> install.packages ("surveytoolbox")
> library (surveytoolbox)
>
> *#4: Check the value labels of gender and marital status*
> Scratch$sex %>% attr('labels')
> Scratch$marital %>% attr('labels')
>
> *#5:  Frequency Distribution and BarChart for Categorical/Ordinal Level
> Variables such as Gender - SEX*
> freqdist(Scratch$sex)
> barplot(table(Scratch$marital))
>
> -----------------------------------------------------
>
> As you can see from above, I use the <haven> package to import the data
> from SPSS.  Apparently, the haven function keeps the value labels, as the
> attribute options in section #4 of my script shows.
> The problem is that when I run frequency distribution for any of the
> categorical variables like sex or marital status, only the numbers (1, 2,)
> are displayed in the output.  The labels (male, female) for example are not.
>
> Is there any way to force these to be shown in the output?  Is there a
> global property that I have to set so that these value labels are reliably
> displayed with every output?  I read I can declare them as factors using
> the <as_factor()>, but once I do so, how do I invoke them in my commands so
> that the value labels show...
>
> Sorry about all the noobs questions, but Ihopefully, I am able to get this
> working.
>
> Thanks in advance.
>
>
> Thanks - cY
>
>
> On Fri, Feb 7, 2020 at 1:14 PM <cpolwart using chemo.org.uk> wrote:
>
> > I've never used it, but there is a labels function in haven...
> >
> > On 7 Feb 2020 17:05, Bert Gunter <bgunter.4567 using gmail.com> wrote:
> >
> > 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 through an R
> > tutorial or two to learn about factors, which may be part of the issue
> > here. R *generally* obtains whatever "label" info it needs from the object
> > being tabled -- see ?tabulate, ?table etc. -- if that's what you're doing.
> >
> > 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 8:28 AM Yawo Kokuvi <yawo1964 using gmail.com> wrote:
> >
> > > 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 other output.
> > >
> > > I am confused.
> > >
> > > 1. Is there a global setting that I can use to force all categorical
> > > variables to display labels?
> > >
> > > 2. Or, are these labels to be set for each function or package?
> > >
> > > 3. How can I request the value labels for each function I run?
> > >
> > > Thanks in advance for your help..
> > >
> > > Best, Yawo
> > >
> > >         [[alternative HTML version deleted]]
> > >
> > > ______________________________________________
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> > > and provide commented, minimal, self-contained, reproducible code.
> > >
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help using 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 using 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.