All,
Happy World Cup and Wimbledon. This morning finds me with the first
of my many daily questions.
I am running a ks.test on residuals obtained from a regression model.
I use this code:
> ks.test(Year5.lm$residuals,pnorm)
and obtain this output
One-sample Kolmogorov-Smirnov test
data: Year5.lm$residuals
D = 0.7196, p-value < 2.2e-16
alternative hypothesis: two.sided
Warning message:
cannot compute correct p-values with ties in: ks.test(Year5.lm$residuals, pnorm)
I am wondering if anybody can tell me what this error message means.
Also, could anybody clarify how I could have a regression model with a
high Rsquared, rouglhy .67, but with nonnormal residuals? Does this
take away from the validity of my model?
jdr
______________________________________________
[email protected] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
