Displaying 2 results from an estimated 2 matches for "0.3517".
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0.351
2004 Sep 30
1
polr (MASS) and lrm (Design) differences in tests of statistical signifcance
Greetings:
I'm running R-1.9.1 on Fedora Core 2 Linux.
I tested a proportional odds logistic regression with MASS's polr and
Design's lrm. Parameter estimates between the 2 are consistent, but the
standard errors are quite different, and the conclusions from the t and
Wald tests are dramatically different. I cranked the "abstol" argument
up quite a bit in the polr
2005 Dec 26
4
lme X lmer results
Hi,
this is not a new doubt, but is a doubt that I cant find a good response.
Look this output:
> m.lme <- lme(Yvar~Xvar,random=~1|Plot1/Plot2/Plot3)
> anova(m.lme)
numDF denDF F-value p-value
(Intercept) 1 860 210.2457 <.0001
Xvar 1 2 1.2352 0.3821
> summary(m.lme)
Linear mixed-effects model fit by REML
Data: NULL
AIC BIC