Hi Paolo, here is an example on how to do the mapping: <hansl> set verbose off clear nulldata 50 set seed 1234 series y = ceil(randgen(u, 0, 3)) # sample series with 3 disctinct integer values strings label = defarray("a", "b", "c") # mapping: 1=a, 2=b, 3=c stringify(y, label) # do the mapping print y -o /* Output y 1 c 2 b 3 b 4 c 5 b */ </hansl> I guess you need to change the numbering of "y" and the string array "label", respectively. This may be done as follows: <hansl> # swap categorie 2 and 3 matrix my = {y} series y_reordered = replace(y, {2, 3}, {3,2}) stringify(y_reordered, label) print y y_reordered -o /* Output y y_reordered 1 c b 2 b c 3 b c 4 c b 5 b c */ </hansl> Artur Am 01.02.2023 11:02 schrieb Paolo Chirico: > Dears, > If I have a string variable with the following mapping: > 1 = 'middle' > 2 = 'low' > 3 = 'high' > there is a command to give the series a new, more logical mapping? Like > as: > 1 = 'low' > 2 = 'middle' > 3 = 'high' > I've simplified the example, but the concept is: changing the > numerical mapping of the entire series > > Paolo > _______________________________________________ > Gretl-users mailing list -- gretl-users(a)gretlml.univpm.it > To unsubscribe send an email to gretl-users-leave(a)gretlml.univpm.it > Website: > https://gretlml.univpm.it/postorius/lists/gretl-users.gretlml.univpm.it/

On Wed, Feb 1, 2023 at 9:03 AM Cottrell, Allin <cottrell(a)wfu.edu&gt; wrote: [...] While my previous answer works for the simplified case, it may be worth giving a more general, automated solution. Here's a function that does the job: <hansl> function void recode (series *y, series x, strings S) y = 0 matrix m = {y} strings S0 = x loop i=1..nelem(S) matrix sel = instrings(S0, S[i]) m[sel] = i endloop y = m stringify(y, S) end function </hansl> The idea is that you pass (1) a target series in pointer form, (2) the original string-valued series and (3) an array holding the string values of the original series, re-ordered as per the desired numerical coding. So in relation to my previous example you'd do: <caller> open strs.csv series y recode(&y, x, defarray("low", "middle", "high")) </caller> Allin

Am 02.02.2023 um 09:45 schrieb Paolo Chirico: Well, if you start out with series y and then have the recoded result in x, you can always copy x over into y, and then you have y recoded. cheers sven

Yes, you can always copy the new series over the old after the recoding Paolo Il giorno gio 2 feb 2023 alle 14:19 Cottrell, Allin <cottrell(a)wfu.edu&gt; ha scritto: