hello all,
I wonder if anyone could give me a hint on which statistical technique
I should use and how to carry it out in R in my case. Thanks in
advance.
My data is composed of two columns, the same numerical variable
(continuous) from actual measurement and model prediction. My
objective is to
statisticians may disagree with this, however.
Dan Bebber
Department of Plant Sciences
University of Oxford
Message: 12
Date: Sun, 07 May 2006 14:25:44 -0700
From: Spencer Graves [EMAIL PROTECTED]
Subject: Re: [R] How to test for significance of random effects?
To: Jon Olav Vik [EMAIL
errors is broken.
Real statisticians may disagree with this, however.
Dan Bebber
Department of Plant Sciences
University of Oxford
Message: 12
Date: Sun, 07 May 2006 14:25:44 -0700
From: Spencer Graves [EMAIL PROTECTED]
Subject: Re: [R] How to test for significance of random
.
Dan Bebber
Department of Plant Sciences
University of Oxford
Message: 12
Date: Sun, 07 May 2006 14:25:44 -0700
From: Spencer Graves [EMAIL PROTECTED]
Subject: Re: [R] How to test for significance of random effects?
To: Jon Olav Vik [EMAIL PROTECTED]
Cc: r-help@stat.math.ethz.ch
Message-ID
1. Ignoring the complication of logistic regression, the
anova(lme1,lm1) provides the answer you seek. See sect. 2.4 in
Pinheiro and Bates for more detail on the approximations involved and
how that answer can be refined using monte carlo.
2. With logistic regression,
Dear list members,
I'm interested in showing that within-group statistical dependence is
negligible, so I can use ordinary linear models without including random
effects. However, I can find no mention of testing a model with vs.
without random effects in either Venable Ripley (2002) or
Subject
RE: [R] how to test robustness of correlation
check out cov.rob() in MASS (among others, I'm sure). The procedure is far
more sophisticated than outlier removal or resampling (??). References
are
given in the docs.
-- Bert Gunter
Genentech Non-Clinical Statistics
South San Francisco
Below
Hi, Berton:
thanks for getting back to me.
I played around cor.rob(). Yes, I can get a robust
correlation coefficient matrix based on mcd or mve outlier
detection methods.
I have two further questions:
1) How do I get a p value of the robust r?
A p-value for
One more thing ...
I played around cor.rob(). Yes, I can get a robust correlation
coefficient matrix based on mcd or mve outlier detection methods.
I have two further questions:
You might call it semantics, but I prefer resistant estimation to outlier
detection methods. I recognize
The cor function can do spearman correlation using
method = spearman .
On 1/25/06, [EMAIL PROTECTED] [EMAIL PROTECTED] wrote:
Hi, there:
As you all know, correlation is not a very robust procedure. Sometimes
correlation could be driven by a few outliers. There are a few ways to
improve the
learning
process. - George E. P. Box
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Gabor
Grothendieck
Sent: Thursday, January 26, 2006 9:05 AM
To: [EMAIL PROTECTED]
Cc: r-help@stat.math.ethz.ch
Subject: Re: [R] how to test robustness
Hi, there:
As you all know, correlation is not a very robust procedure. Sometimes
correlation could be driven by a few outliers. There are a few ways to
improve the robustness of correlation (pearson correlation), either by
outlier removal procedure, or resampling technique.
I am wondering
the scientific learning
process. - George E. P. Box
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of
[EMAIL PROTECTED]
Sent: Wednesday, January 25, 2006 12:37 PM
To: r-help@stat.math.ethz.ch
Subject: [R] how to test robustness of correlation
Hi
I just did RSiteSearch(poisson time series). The second and third
of 75 hits seemed relevant to your question. (e.g.,
http://finzi.psych.upenn.edu/R/Rhelp02a/archive/58054.html) Some of the
other responses did not seem relevant, but I didn't look at all of them.
This response
Hi, R-Help,
I am a newbie.
what I concern most recently is the analysis of the time series,
But there are a lot of package in my eyes.
All I want to try is as follow:
How to test whether a time series fit the Poisson or other process in R?
Thank you very much in advance.
[EMAIL PROTECTED]
Hello Gunter,
2005/10/19, Berton Gunter [EMAIL PROTECTED]:
To be pedantic (I'm feeling cranky today):
One can never test whether the data follow [data is plural] a Poisson
distribution -- only whether there is sufficient evidence to cast that
assumption into doubt. Perhaps a better shorthand
Dear All,
I am wonderng how to test whether the data follows poisson distribution.
Thank you so much!
[[alternative HTML version deleted]]
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PLEASE do read
Hi,
2005/10/19, Wensui Liu [EMAIL PROTECTED]:
Dear All,
I am wonderng how to test whether the data follows poisson distribution.
Thank you so much!
Did you notice the PDF on distribution tests using R by Vito Ricci,
its found at CRAN in the docs contrib section, called FITTING
, October 19, 2005 10:00 AM
To: r-help@stat.math.ethz.ch
Subject: Re: [R] how to test poisson distribution
Hi,
2005/10/19, Wensui Liu [EMAIL PROTECTED]:
Dear All,
I am wonderng how to test whether the data follows poisson
distribution.
Thank you so much!
Did you notice the PDF
19, 2005 10:00 AM
To: r-help@stat.math.ethz.ch
Subject: Re: [R] how to test poisson distribution
Hi,
2005/10/19, Wensui Liu [EMAIL PROTECTED]:
Dear All,
I am wonderng how to test whether the data follows poisson
distribution.
Thank you so much!
Did you notice
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PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Dear Group Members,
Forgive me if I am a little bit out of subject. I am looking for a good
way to test the homogeneity of two variance-covariance matrices using R,
prior to a Hotelling T² test. You’ll probably tell me that it is better
to use a robust version of T², but I have no precise
Thank you all for the reply.
Regards,
Jin
-Original Message-
From: Prof Brian Ripley [mailto:[EMAIL PROTECTED]
Sent: Wednesday, 3 August 2005 5:20 P
To: Simon Blomberg
Cc: Li, Jin (CSE, Atherton); r-help@stat.math.ethz.ch
Subject: Re: [R] how to test this
On Wed, 3 Aug 2005, Simon
This is two tests: Whether the slope != 1 and whether the intercept != 0.
To do this, include an offset in your model:
fit - lm(y ~ x + offset(x), data=dat)
HTH,
Simon.
At 03:44 PM 3/08/2005, [EMAIL PROTECTED] wrote:
Dear there,
I am wondering how to test whether a simple linear regression
On Wed, 3 Aug 2005, Simon Blomberg wrote:
This is two tests: Whether the slope != 1 and whether the intercept != 0.
Neither model given has an intercept
To do this, include an offset in your model:
fit - lm(y ~ x + offset(x), data=dat)
but no intercept, so use
summary(lm(y ~ 0 + x +
Dear there,
I am wondering how to test whether a simple linear regression model
(e.g. y=1.05x) is significantly different from a 1 to 1 line (i.e. y=x).
Thanks.
Regards,
Jin
[[alternative HTML version deleted]]
__
R-help@stat.math.ethz.ch
Hi,
I want to test the equalness of several coefficients of a gamma frailty model
using R. In SAS, a TEST statement can be used for a cox model.How to do it in
R?
Thanks a lot!
Guanghui
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R-help@stat.math.ethz.ch mailing list
when using the two-group discriminant analysis,we need to test for equality
of covariance Matrices in lda.as whenm we formed our estimate of the
within-group covariance matrix by pooling across groups,we implicitly assumed
that the covariance structure was the same across groups.so it seems
Hi,
After running an experiment in economics involving 3 treatment variables
(Complete, High and Ksup), 32 Groups of subject (4 groups for each of the 8
treatment combinations) and 12 Periods, I've estimated the following model in
which all coefficients are significant:
y -
I wanted to test if there exists already a name (which is
incidentally a substring of another name) in a dataframe.
I did e.g.:
data(swiss)
names(swiss)
[1] FertilityAgriculture Examination Education
[5] Catholic Infant.Mortality
! is.null(swiss$EduX)
[1]
Fischer [EMAIL PROTECTED]
To: [EMAIL PROTECTED]
Sent: Tuesday, December 07, 2004 9:47 AM
Subject: [R] how to test the existence of a name in a dataframe
I wanted to test if there exists already a name (which is
incidentally a substring of another name) in a dataframe.
I did e.g.:
data(swiss)
names
Hi all,
suppose I've got a vector y with some data (from a repeated measure
design) observed given the conditions in f1 and f2. I've got a model
with two unknown fix constants a and b which tries to predict y with
respect to the values in f1 and f2. Here is an exsample
# data
y - c(runif(10,
That's the linear model lm(y ~ I(1/f1) + f2), so yes, yes and
fuller answers can be found in most of the books and guides mentioned in
R's FAQ.
Note that how `good' the fit is will have to be relative, unless you
really can assume a uniform error with range 1, when you could do a
Sven Garbade [EMAIL PROTECTED] writes:
Hi all,
suppose I've got a vector y with some data (from a repeated measure
design) observed given the conditions in f1 and f2. I've got a model
with two unknown fix constants a and b which tries to predict y with
respect to the values in f1 and f2.
PM
To: Gijsbert Stoet; [EMAIL PROTECTED]
Cc:
Subject: Re: [R] how to test whether two slopes are sign. different?
Not really r-specific:
Z = (b1 - b2) / SQRT ( SEb1^2 + SEb2^2)
---Original Message
-Original Message-
From: Brett Magill [mailto:[EMAIL PROTECTED]
Sent: Sun 7/20/2003 7:12 PM
To: Gijsbert Stoet; [EMAIL PROTECTED]
Cc:
Subject: Re: [R] how to test whether two slopes are sign. different?
Not really r-specific
Alexandria, Virginia 22314
703.647.1628
http://www.edperform.net
-Original Message-
From: Gijsbert Stoet [mailto:[EMAIL PROTECTED]
Sent: Sunday, July 20, 2003 10:51 PM
To: [EMAIL PROTECTED]
Subject: [R] how to test whether two slopes are sign. different?
Hi,
suppose I do want to test
Hi,
suppose I do want to test whether the slopes (e.g. determined with
lsfit) of two different population are significantly different, how do
I test this (in R). Say for example, I found out what the slope
between age and number of books read per year is for two different
populations of
Not really r-specific:
Z = (b1 - b2) / SQRT ( SEb1^2 + SEb2^2)
---Original Message---
From: Gijsbert Stoet [EMAIL PROTECTED]
Sent: 07/20/03 09:51 PM
To: [EMAIL PROTECTED]
Subject: [R] how to test whether two slopes are sign. different?
Hi,
suppose I do want to test whether
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