Hi Alison,

let me also direct you to the following materials for learning Gretl +
Hansl:

- Here is a page where you find many resources:
https://github.com/gretl-project/material-on-gretl

- Here you find some further examples on how to handle data, create
plots and do basic statistics:
https://github.com/gretl-project/material-on-gretl/wiki

- Here you find a first cheat sheet:
https://github.com/gretl-project/gretl_cheatsheet/blob/master/datahandling.pdf

- Here you find a Wiki:
https://gretlwiki.econ.univpm.it/index.php/Main_Page

- User's Guide:
https://gretl.sourceforge.net/gretl-help/gretl-guide.pdf

- The command and function references which you can find online:
https://gretl.sourceforge.net/gretl-help/cmdref.html
https://gretl.sourceforge.net/gretl-help/funcref.html


Best
Artur

Am 30.01.24 um 15:57 schrieb Alison Loddick:
> Hi,
>
> Thank you all.  I’ve got it working.  I have learnt a lot today.  I had
> to learn that the open command needed “ “ around my file location path
> as it wasn’t in the Gretl folder and when using # I need to leave a
> space.  But it works.  I’ve just got to decide whether I can teach it to
> my students!
>
> My initial error was because I was using the green arrow to run the
> programme, which is what SPSS has and not the two cogs! I feel quite silly.
>
> Thank you very much
>
> Alison
>
> *From:*Riccardo (Jack) Lucchetti <p002264@staff.univpm.it>
> *Sent:* Tuesday, January 30, 2024 2:03 PM
> *To:* gretl-users@gretlml.univpm.it
> *Subject:* [EXTERNAL] [Gretl-users] Re: First time user of Hansl and
> creating a matrix of Spearmans correlation
>
> **** CAUTION - EXTERNAL EMAIL. Think before replying, opening
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>
> On 30/01/2024 14:19, Artur T. wrote:
> > Hi Alison,
> >
> > there are some errors with the syntax:
>
> [...]
>
> Here's a slight variation on Artur's script, that doesn't give you
> tstats and pvalues, but what you get is more similar to a "traditional"
> correlation matrix:
>
> <hansl>
> function matrix spearman_matrix(list variables)
> n = nelem(variables)
> strings names = varnames(variables)
> matrix SC = I(n)
>
> loop i = 1..n
> loop j = 1..i-1
> # Calculate Spearman correlation and p-value
> scalar rij = npcorr(variables[j], variables[i], spearman)[1]
> SC[i,j] = rij
> SC[j,i] = rij
> endloop
> endloop
>
> # Set row and column names
> rnameset(SC, names)
> cnameset(SC, names)
>
> return SC
> end function
> </hansl>
>
>
> -------------------------------------------------------
> Riccardo (Jack) Lucchetti
> Dipartimento di Scienze Economiche e Sociali (DiSES)
>
> Università Politecnica delle Marche
> (formerly known as Università di Ancona)
>
> r.lucchetti@univpm.it <mailto:r.lucchetti@univpm.it>
> http://www2.econ.univpm.it/servizi/hpp/lucchetti
> <http://www2.econ.univpm.it/servizi/hpp/lucchetti>
> -------------------------------------------------------
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