Displaying 20 results from an estimated 8000 matches similar to: "R 1.80 version"
2002 Aug 24
3
link my own C library using Rcmd SHLIB
Hi All,
I have already used gcc to creat a library, for example, it is called
"test.a", which includes many
c objects.
How to link my main "a.c" function to this library when I used Rcmd SHLIB
to complier my main c program?
I tried "Rcmd SHLIB a.c test.a". It does not work this way. Does anyone
have idea about this?
Thanks,
Xiaoping
2002 Aug 22
1
LAPACK in R
2009 Jul 21
1
problem with heatmap.2 in package gplots generating non-finite breaks
I have written a wrapper for heatmap.2 called
heatmap.w.row.and.col.clust which auto-generates breaks using
breaks<-round((c(seq(from=(-20 * stddev), to=(20 * stddev))))/20,
digits = 2) #(stddev in this case = 2.5)
This has always worked well in the past but now I am getting an error
that non-finite breaks are being generated. Drilling down, it seems
that my wrapper is generating finite
2008 Nov 21
2
Growth rate determination using ANCOVA
I'm a programmer in a biology lab who is starting to use R to automate
some of our statistical analysis of growth rate determination. But I'm
running into some problems as I re-code.
1) Hypotheses concerning Slope similarity/difference:
I'm using R's anova(lm()) methods to analyse a model which looks
like this:
growth.metric ~ time * test.tube
I understand that
2006 Oct 24
0
New version of `multcomp' on CRAN
Dear useRs,
`multcomp' version 0.991-1 will be shortly available from
CRAN near you. Nearly all functionality contained in the
package has been re-implemented from scratch.
The focus of the package has been extended to general linear
hypotheses in arbitrary parametric models and the most important
function to check out is `glht()'. Multiple comparison of
means procedures (for example
2006 Oct 24
0
New version of `multcomp' on CRAN
Dear useRs,
`multcomp' version 0.991-1 will be shortly available from
CRAN near you. Nearly all functionality contained in the
package has been re-implemented from scratch.
The focus of the package has been extended to general linear
hypotheses in arbitrary parametric models and the most important
function to check out is `glht()'. Multiple comparison of
means procedures (for example
2007 Jun 25
3
Bug in getVarCov.gls method (PR#9752)
Hello,
I am using R2.5 under Windows.
Looks like the following statement
vars <- (obj$sigma^2)*vw
in getVarCov.gls method (nlme package) needs to be replaced with:
vars <- (obj$sigma*vw)^2
With best regards
Andrzej Galecki
Douglas Bates wrote:
>I'm not sure when the getVarCov.gls method was written or by whom. To
>tell the truth I'm not really sure what
2011 Mar 01
1
glht() used with coxph()
Hi, I am experimenting with using glht() from multcomp package together with
coxph(), and glad to find that glht() can work on coph object, for example:
> (fit<-coxph(Surv(stop, status>0)~treatment,bladder1))
coxph(formula = Surv(stop, status > 0) ~ treatment, data = bladder1)
coef exp(coef) se(coef) z p
treatmentpyridoxine -0.063 0.939 0.161
2007 Jun 16
1
linear hypothesis test in gls model
Dear all,
For analysis of a longitudinal data set with fixed measurement in time I built a gls model (nlme). For testing hypotheses in this model I used the linear.hypothesis function from the car package. A check with the results obtained in SAS proc MIXED with a repeated statement revealed an inconsistency in the results. The problem can be that the linear.hypothesis function (1) only gives the
2018 Mar 22
1
adjusted values
Hi all,
I am fitting a linear mixed model with lme4 in R. The model has a single
factor (des_days) with 4 levels (-1,1,14,48), and I am using random
intercept and slopes.
Fixed effects: data ~ des_days
Value Std.Error DF t-value p-value
(Intercept) 0.8274313 0.007937938 962 104.23757 0.0000
des_days1 -0.0026322 0.007443294 962 -0.35363 0.7237
des_days14 -0.0011319
2012 Feb 19
1
Basic Model Setup Question from a Beginner
Hello all! I would like to start off by saying that I am still really new to
the vast world of R so please excuse my very limited vocabulary in the
program.
I have collected data from monkey videos and would like to setup some
model(s) in R that can help with my hypotheses. I am having trouble figuring
out which statistical tests/models to use for my two hypotheses.
#1: Comparing the presence
2010 Feb 10
1
heplot3d / rgl : example causes R GUI to crash
[Env: Tested under Win Xp, R 2.9.2 and R 2.10.1; sessionInfo() at end]
I've run into a problem with the heplot3d() function in my heplots
package which causes the R GUI to crash
('R for Windows GUI encountered a problem and needs to close...'). I
think the problem comes from an
rgl call, but, I can't get a traceback or other information because my R
session crashes. I've
2001 Jun 08
1
binom.test appropriate?
Hi there,
as part of a 2 x 2 contingency table analysis I would like to estimate
conditional probabilities (success rates) in a Bernoulli
experiment. In particular I want to test a null hypothesis p <= p0
versus the alternative hypothesis p > p0.
As far as I understand the subject, there are UMPU tests for these
types of hypotheses.
Now I know about R's "binom.test" but the
2001 Jun 09
1
AW: binom.test appropriate?
No,
since I'd like to test
null: p <= p0
alternative: p > p0.
and my understanding is that binom.test tests
null: p = p0 (can only be a "simple" null hypothesis
according to help(binom.test))
alternative: p > p0 (or p < p0 or p != p0).
Thanks, Mirko.
> -----Urspr?ngliche Nachricht-----
> Von: Douglas Bates [mailto:bates at stat.wisc.edu]
>
2012 Nov 07
1
A warning message in glht
Dear all,
I was wondering if you could give me any suggestions/help on the following
issue. So I carried out the analysis of my data using generalized linear
model (glm). After that, to check for multiple comparisons, I applied the
glht function from the multcomp package in R. The output, however, gave me a
warning (please see below). So my question is whether this warning is smth
that I should
2017 Oct 10
2
Power test binominal GLM model
Dear All
I have run the following GLM binominal model on a dataset composed by the
following variables:
TRAN_DURING_CAMP_FLG enviados bono_recibido
0 1 benchmark
0 1 benchmark
0 1 benchmark
0 1 benchmark
0 1 benchmark
0 1
2009 Mar 14
1
dispcrepancy between aov F test and tukey contrasts results with mixed effects model
Hello,
I have some conflicting output from an aov summary and tukey contrasts
with a mixed effects model I was hoping someone could clarify. I am
comparing the abundance of a species across three willow stand types.
Since I have 2 or 3 sites within a habitat I have included site as a
random effect in the lme model. My confusion is that the F test given by
aov(model) indicates there is no
2009 Apr 23
3
Interpreting the results of Friedman test
Hello,
I have problems interpreting the results of a Friedman test. It seems
to me that the p-value resulting from a Friedman test and with it the
"significance" has to be interpreted in another way than the p-value
resulting from e.g. ANOVA?
Let me describe the problem with some detail: I'm testing a lot of
different hypotheses in my observer study and only for some the
premises
2008 Mar 14
0
multiple comparisons
Hello again R help.
This is a simple question perhaps(laughing as I type) with a simple answer.
Is the multcomp package appropriate for using with a lme built under
the nlme package.
I know i can get it to work (i.e report p-values for a tukey test) but
i am not unsure if this is appropriate for a linear mixed effects
model.
Below is the code i used
lmm1 <- lme(asinh(density_recruit) ~
2012 Nov 19
0
glht function in multcomp gives unexpected p=1 for all comparisons
Hi, I have data with binomial response variable (survival) and 2 categorical independent variables (site and treatment) (see below).? I have run a binomial GLM and found that both IVs and the interaction are significant.? Now I want to do a post-hoc test for all pairwise comparisons to see which treatment groups differ.? I tried the glht function in the multcomp package, but I get surprising