similar to: Use of Factors

On 5/3/07, Erik de Castro Lopo <mle+la@mega-nerd.com> wrote: > Peter Grayson wrote: > > Personally I think universal binaries are a bad idea. They have obviously served some purpose, but I tend to agree that the concept does not seem to scale well once outside the Apple microcosm. > For one of my projects, libsndfile, endian issues is not the only > think that breaks in

Peter Grayson wrote: > Can you elaborate on what kind of CPU vagaries come into play besides > endianess? One issue I found was the cpu behaviour when converting from float/double to int32 when the source float is outside the range of values that can be represented by the int32. For instance: float int32_ppc in32_x86 2147483649.0 2147483647 -2147483648

> One issue I found was the cpu behaviour when converting from > float/double to int32 when the source float is outside the range > of values that can be represented by the int32. > > For instance: > > float int32_ppc in32_x86 > 2147483649.0 2147483647 -2147483648 > 2147483648.0 2147483647 -2147483648 > 2147483647.0

On Tue, 7 May 2019 17:06:24 +1200 Tim Beale <timbeale at catalyst.net.nz> wrote: > Apologies, this bug fell through the cracks and the fix never got > backported to 4.10. I've uploaded the backport to the bug now, it just > needs a review signoff. > > To recap, it was introduced as a side-effect of switching to Python 3. > The old code never worked as intended on

Dear all, I'm quite new in R and especially with linear mixed effects models and I'm not completely sure to read the lmer table in the right way. for example: head(march.f) fam subjID Cond Code reg total first second log.total log.second cat 3 f 30 an fDan1 3 1.2304688 0.6679688 0.56250000 0.20739519 0.44628710 f

Dear all, I'm quite new in R and I have a problem with the function which. When I use it to select a subset of a dataframe it works well but somewhere R takes trace of the past dataframe and this creates problems with following operations. For example: sentences <- read.xls("frasi.tot.march.3.xls", header=TRUE) head(sentences) fam subjID Cond Code reg total first

Dear All, I met problems when doing contrast and now really need some help in the model below: Fit=gam(y~treat+SEQUENCE+PERIOD+SEX+s(x),data=dat, random=list(SUBJID=~1),correlation=corAR1(form=~1|SUBJID)) And error message keeps coming out when I want to compare the differences between treatments: Diff=contrast(Fit, list(treat=treatment[-placebo.pos]),list(treat="Placebo"),

Hi, I have a multilevel situation where subjects are nested within clinics, and each subject has multiple measurements. For simplicity, suppose there 4 clinics, 3 subjects per clinic, and each subject has 3 repeated measures. Outcome is continuous. I am trying to implement this model with lmer function in lme4 library.

This is very possibly not a question on R. I was under the impression that the argument that gives rise to Fisher's LSD method in ANOVA works in other situations with three-way comparisons too, given that formal logic works the same ("if the omnibus test rejects, only two of the three groups may be equal, and therefore only one hypothesis can be rejected falsely"). However, when I