I would use the "names" or "colnames" functions to change them to Q1,
Q2, ... as I did.
Jim
On Thu, Nov 1, 2018 at 9:01 PM P. Roberto Bakker
<robertobak...@gmail.com> wrote:
>
> 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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