Hi Jim,
Thank you for your quick reply. It is a great procedure.
The response options in my data.frame are (fortunately) similar in all
columns.
It would be nice if I could use your procedure in all columns at once
instead of each column.
My data.frame contains 48 columns, each with long column names.
This means that I need to put each (long) column name after "$:
dataname$"very long name".
So, is ther a way to do this procedure for all columns?
Roberto
Op do 1 nov. 2018 om 10:50 schreef Jim Lemon <drjimle...@gmail.com>:
> Hi Roberto,
> What I suggested is a brute force method of translating response
> options into ordinal numbers. Fortunately for me, the Barratt
> Impulsivity Scale has relatively short and constant response options.
> As I programmed the test myself, I already had the questions in plain
> text, so I simply added the "as.numeric(factor(" and "levels=..."
> commands to the forward and reversed response options to create the
> whole transformation code. With a bit of cut-and-paste work, it didn't
> take that long. Because the BIS-11 is used quite a bit where I am
> working. it was worth the trouble.
>
> Jim
>
> On Thu, Nov 1, 2018 at 8:38 PM P. Roberto Bakker
> <robertobak...@gmail.com> wrote:
> >
> > Hi Jim,
> >
> > Thank you.
> > An additional question: as I have many columns to change in numeric, and
> the columns are long sentences, what is an efficient way to do this?
> > I checked in StackOverflow but could not find the right answer
> > Best Roberto
> >
> >
> > Op do 1 nov. 2018 om 00:25 schreef Jim Lemon <drjimle...@gmail.com>:
> >>
> >> Hi Roberto,
> >> Here is a snippet of code that translates the text responses of the
> >> BIS-11 into numeric values. Note the reversal of the order in the
> >> second item:
> >>
> >> BIS$Q1<-as.numeric(factor(BIS$Q1,
> >> levels=c("Almost","Often","Occasionally","Rarely/Never")))
> >> BIS$Q2<-as.numeric(factor(BIS$Q2,
> >> levels=c("Rarely/Never","Occasionally","Often","Almost")))
> >> ...
> >>
> >> Jim
> >> On Thu, Nov 1, 2018 at 8:57 AM P. Roberto Bakker
> >> <robertobak...@gmail.com> wrote:
> >> >
> >> > Hi Rich,
> >> >
> >> > Thank you for your answer.
> >> > The sentences are strings (likert scale: 'the situation is highly
> >> > applicable to me' etc - in Dutch), or column labels; it may be
> confusing as
> >> > it is in Dutch. Below I show you part of the dataframe with my
> annotation
> >> > added (string/column lable) to give you an idea.
> >> > I need to change the likert strings into numeric (1:5). And this is a
> >> > challenge somehow.
> >> > With dplyr, plyr it did not work.
> >> > After I have the numeric version then I can stack them as suggested by
> >> > David.
> >> >
>
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