Hi there,
I want to do a nonparametric covariance analysis and I have tried to use the
package "sm" function "sm.ancova" but it didn't work for me because I have more
then one covariates (I have 18 covariates and 3 factors).
I want to analyse for one factor (who has 13 levels) where the differences for
my response are, using the explanatory (covariates). (The other two factors
are:
Temperature and force needed).
I mean, I want to create groups for the levels of the factor, where within each
group no significant difference exist.
My residuals haven't normal distribution and aren't homoscedastic. I have tried
already the boxcox transformation and glm procedures, but whitout success. So I
am looking for these methos for nonparametrics analysis of covariance.
Thanks for any help.
--
Daniela Rodrigues Recchia
Master Student of Statistics - Technische Universität Dortmund.
"Like dreams, statistics are a form of wish fulfillment."
Jean Baudrillard.
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