Displaying 11 results from an estimated 11 matches for "derosario".
2013 Jul 15
2
suppress startup messages from default packages
Hi all,
several packages print messages during loading. How do I avoid to see
them when the packages are in the defaultPackages?
Here is an example.
With this in ~/.Rprofile
,----[ ~/.Rprofile ]
| old <- getOption("defaultPackages")
| options(defaultPackages = c(old, "filehash"))
| rm(old)
`----
I get as last line when starting R:
,----
| filehash: Simple key-value
2011 Sep 29
1
F and Wald chi-square tests in mixed-effects models
I have a doubt about the calculation of tests for fixed effects in
mixed-effects models.
I have read that, except in well-balanced designs, the F statistic that
is usually calculated for ANOVA tables may be far from being distributed
as an exact F distribution, and that's the reason why the anova method
on "mer" objects (calculated by lmer) do not calculate the denominator
df nor a
2012 Mar 12
1
Faceted bar plot shows wrong counts (ggplot2)
I have encountered a problem with faceted bar plots. I have tried to
create something like the example explained in the ggplot2 book (see pp.
126-128):
library(ggplot2)
mpg4 <- subset(mpg, manufacturer %in%
c("audi", "volkswagen", "jeep"))
mpg4$manufacturer <- as.character(mpg4$manufacturer)
mpg4$model <- as.character(mpg4$model)
base <-
2011 Sep 24
1
help
.../chippeakanno-package-getAllPeakSequence-problem-tp3830284p3836422.html
> Sent from the R help mailing list archive at Nabble.com.
>
>
>
> ------------------------------
>
> Message: 2
> Date: Fri, 23 Sep 2011 13:07:57 +0200
> From: "Helios de Rosario"<helios.derosario at ibv.upv.es>
> To:<jcbouette at gmail.com>
> Cc: r-help at r-project.org
> Subject: Re: [R] How make a x,y dataset from a formula based entry
> Message-ID:<4E7C84AD0200000C0000A9F8 at mailhost.biomec.upv.es>
> Content-Type: text/plain; charset=UTF-8
>
> To sepa...
2012 Dec 30
0
ANOVA repeated measures and post-hoc
A (late) update to this question:
On Fri Aug 17 07:33:29, Henrik Singmann wrote:
> Hi Diego,
>
> I am struggeling with this question also for some time and there does
> not seem to be an easy and general solution to this problem. At least
I
> haven't found one.
> However, if you have just one repeated-measures factor, use the
solution
> describe by me here:
2015 Feb 16
0
Release of phia 0.2-0
Dear R users,
I want to announce an update of the package "phia", version 0.2-0, now
on CRAN:
<http://cran.r-project.org/web/packages/phia/>
"phia" (Post-Hoc Interaction Analysis) is aimed at the analysis of the
expected values and other terms of in linear, generalized, and mixed
linear models, on the basis of multiple comparisons of factor contrasts,
and is specially
2015 Feb 16
0
Release of phia 0.2-0
Dear R users,
I want to announce an update of the package "phia", version 0.2-0, now
on CRAN:
<http://cran.r-project.org/web/packages/phia/>
"phia" (Post-Hoc Interaction Analysis) is aimed at the analysis of the
expected values and other terms of in linear, generalized, and mixed
linear models, on the basis of multiple comparisons of factor contrasts,
and is specially
2011 Oct 26
2
Error in summary.mlm: formula not subsettable
When I fit a multivariate linear model, and the formula is defined
outside the call to lm(), the method summary.mlm() fails.
This works well:
> y <- matrix(rnorm(20),nrow=10)
> x <- matrix(rnorm(10))
> mod1 <- lm(y~x)
> summary(mod1)
...
But this does not:
> f <- y~x
> mod2 <- lm(f)
> summary(mod2)
Error en object$call$formula[[2L]] <- object$terms[[2L]]
2012 Mar 27
1
read.octave fails with data from Octave > 3.2.X
Hi,
I'm afraid that the function read.octave from package "foreign" has
some problems with the ASCII data format exported by new versions of
Octave (later than 3.2.X). It fails even for a simple case as:
[Octave code:]
octave:1> x=1;
octave:2> save -ascii testdata.mat x
[Now in R:]
> octavedata <- read.octave('testdata.mat')
Mensajes de aviso perdidos
In
2012 Jun 12
1
Two-way linear model with interaction but without one main effect
Hi,
I know that the type of model described in the subject line violates
the principle of marginality and it is rare in practice, but there may
be some circumstances where it has sense. Let's take this imaginary
example (not homework, just a silly made-up case for illustrating the
rare situation):
I'm measuring the energy absorption of sports footwear in jumping. I
have three models (S1,
2011 Sep 22
1
Wrapper of linearHypothesis (car) for post-hoc of repeated measures ANOVA
For some time I have been looking for a convenient way of performing
post-hoc analysis to Repeated Measures ANOVA, that would be acceptable
if sphericity is violated (i.e. leaving aside post-hoc to lme models).
The best solution I found was John Fox's proposal to similar requests
in R-help:
http://tolstoy.newcastle.edu.au/R/e2/help/07/09/26518.html