You really should have pointed out that you cross-posted this question [1] so
we wouldn't repeat things. You were already pointed at the task view on this
subject there. Be sure to look for vignettes in the relevant packages.
I cannot point you to domain-specific examples, though I came across some in
the brief search I did that lead me to your redundant question, so you probably
ought to clarify what you have looked at and why it wasn't helpful.
You mention specifying possible values... I will point out that many people
turn off the automatic conversion to factor when reading categorical data,
instead converting those columns to factors explicitly using the factor
function:
dta$cat1 <- factor( dta$cat1, levels=c( "democrat", "republican",
"libertarian", "independent", "other" ) )
There is also a package that focuses on factors ("forcats") that may have
functions in it useful to your work.
I would put actual questions in a separate data frame with the question numbers
and use the merge function if/when needed... but this is not my usual working
area... some dedicated packages might put that info into attributes.
[1] https://stats.stackexchange.com/questions/313220/doing-survey-analysis-in-r
--
Sent from my phone. Please excuse my brevity.
On November 11, 2017 11:56:50 AM PST, Kevin Taylor <kevin...@gmail.com> wrote:
>I am taking a behavioral stats graduate class and the instructor is
>using
>SPSS. I'm trying to follow along in R.
>
>Recently in class we started working with scales and survey data,
>computing
>Cronbach's Alpha, reversing values for reverse coded items, etc.
>
>Also, SPSS has some built in functionality for entering the meta-data
>for
>your survey, e.g. the possible values for items, the text of the
>question,
>etc.
>
>I haven't been able to find any survey guidance for R other than how to
>run
>the actual calculations (Cronbach's, reversing values).
>
>Are there tutorials, books, or other primers, that would guide a newbie
>step by step through using R for working with survey data? It would be
>helpful to see how others are doing these things. (Not just how to run
>the
>mathematical operations but how to work with and manage the data.)
>Possibly
>this would be in conjunction with some packages such as Likert or
>Scales.
>
>TIA.
>
>--Kevin
>
> [[alternative HTML version deleted]]
>
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