Hello,
I am analyzing a data set that has possible covariates. It is also
multivariate. Are there any R function which can do analysis of covariance?
Thanks.
John Cardinale
[[alternative HTML version deleted]]
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R-help@stat.math.ethz.ch
On Jan 6, 2007, at 8:34 AM, John Cardinale wrote:
Are there any R function which can do analysis of covariance?
?lm
RSiteSearch('ancova')
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Professor Michael Kubovy
University of Virginia
Department of Psychology
USPS: P.O.Box 400400Charlottesville, VA
On 1/6/07, Michael Kubovy [EMAIL PROTECTED] wrote:
On Jan 6, 2007, at 8:34 AM, John Cardinale wrote:
Are there any R function which can do analysis of covariance?
?lm
RSiteSearch('ancova')
Given the question, you'll probably need to find how to do an ancova
with lm. Several documents in
Please look at the help file
?ancova
in the HH package.
Please get HH_1.17 which was up on CRAN yesterday. The source
file has propagated to the mirrors. As of a few minutes ago,
the Windows binary is on cran.at.r-project.org but not yet at the mirrors.
Be sure to have history recording on in
Dear R user:
I have a question about doing ANCOVA in S-plus or R.
I know that many users use lm to do the regression and check the ANCOVA. But
is there a way to get the traditional Table form of the ANCOVA test through
S-plus (like what we would get from SPSS or SAS)?
The
To get the ANCOVA table you need to look at the anova() function.
The variables T and L must be factors to get the multi-degree-of-freedom
anova tables you are looking for.
Order matters. You get the same residual, but the sequential sums of
squares differ.
bt.aov - aov(E ~ B + T)
[EMAIL PROTECTED] writes:
I'm trying to perform ANCOVAs in R 1.14, on a Mac OS X, but I can't figure out
?! There's no version 1.14 of R.
what I am doing wrong. Essentially, I'm testing whether a number of
quantitative dental measurements (the response variables in each ANCOVA) show
sexual
On Sat, 2006-05-20 at 08:36 +0200, Peter Dalgaard wrote:
[EMAIL PROTECTED] writes:
I'm trying to perform ANCOVAs in R 1.14, on a Mac OS X, but I can't figure
out
?! There's no version 1.14 of R.
Looking at the Mac page on CRAN, I suspect that this is the GUI version
number, rather than
I'm trying to perform ANCOVAs in R 1.14, on a Mac OS X, but I can't figure out
what I am doing wrong. Essentially, I'm testing whether a number of
quantitative dental measurements (the response variables in each ANCOVA) show
sexual dimorphism (the sexes are the groups) independently of the
I don't understand: I just ran the first example in the aov help
page, and it produced F ratios and p values.
If this does not answer your question, I suggest you read Pinheiro
and Bates (2000) Mixed-Effects Models in S and S-Plus (Springer) if you
haven't already and try
I would like to know if there is a way of directly calculating the
F-ratio of a random effect using the aov function. I have 2 factors
in my model, population which is random and length which is the
length of female fish within each population. The dependent variable is
diam which is the
What search terms did you use? Have you considered the multcomp
and multtest packages?
spencer graves
p.s. If you'd like more help from this list, I suggest you read the
posting guide! www.R-project.org/posting-guide.html. Anecdotal
evidence suggests that posts more closely
Hello,
Despite my search, I didn't find a post-hoc test for an ANCOVA.
I used the functions aov() and lm() to run the ANCOVA then I tried
TukeyHSD() but it didn't work (because of the covariable is a continuous
variable?).
Furthermore, I would like to plot the adjusted values (i.e. the values
Mon cher M. MENICACCI:
It looks to me like you ultimately want to use lmer in
library(lme4) [which also requires library(Matrix)]. For documentation,
I suggest you start with Doug Bates (2005) Fitting Linear Mixed Models
in R, R News, vol. 5/1: 27-30 (available from
Dear R-users,
We expect to develop statistic procedures and environnement for the
computational analysis of our experimental datas. To provide a proof of
concept, we plan to implement a test for a given experiment.
Its design split data into 10 groups (including a control one) with 2
mesures
]
Subject: [R] ANCOVA
Dear R-help list,
I am attempting to understand the proper formulation of
ANCOVA's in R. I would like to test both parallelism and
intercept equality for some data sets, so I have generated an
artificial data set to ease my understanding.
This is what I have done
Dear R-help list,
I am attempting to understand the proper formulation of ANCOVA's in R. I
would like to test both parallelism and intercept equality for some data
sets, so I have generated an artificial data set to ease my understanding.
This is what I have done
#Limits of random error added
Hello people
I am doing some thinking about how to analyse data on dimorphic animals
- where different individuals of the same species have rather different
morphology. An example of this is that some male beetles have large
horns and small wings, and rely on beating the other guys up to
This sounds like a good case for mixture regression, for which there's Fritz
Leisch's `flexmix' package. However, I don't think flexmix has facility for
testing whether the mixture has one vs. two components. Others on the list
surely would know more than I do.
HTH,
Andy
From: Rob Knell
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