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Dear Professors,

I am trying to design an experiment where one attribute is the degree of self-sufficiency achievable when installing solar panels (5 h, 10 h, 24 h, or 0 h), and I want to code this as a categorical variable.

However, I get the following error message

"Error: An attribute has the wrong number of levels for dummy or effects coding. 'strg' "

after running a code containing the following line of code within an orthogonal design:

"b3.dummy * strg[0, 1, 2, 3]"

Is this because I have an orthogonal design or that I have no priors?

What am I doing wrong? Should I rather code this as a continuous variable?

Thank you in advance and best regards,
Gabrielle Söderberg

The error arises because the number of priors is not consistent with the number of attribute levels. The following will work:

b3.dummy[0|0|0] * strg[0, 1, 2, 3]

Michiel