[R] Value Labels: SPSS Dataset to R

Yawo Kokuvi y@wo1964 @end|ng |rom gm@||@com
Fri Feb 7 23:24:41 CET 2020 

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 4:58 PM Jim Lemon <drjimlemon using gmail.com> wrote:

> 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]]
> > > >
> > > > ______________________________________________
> > > > 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.
> > >
> > >
> > >
> >
> >         [[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.
>

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