Displaying 20 results from an estimated 5000 matches similar to: "Row mean scores differ"
2008 Apr 10
1
Row mean scores differ association
Suppose that we have o 2-D contingency table where the row variable is nominal and the column one is ordinal. In SAS it is possible to compute the statistic named as row mean scores differ. How can we programmed it in R?
(See also Aggresti (2002), Categorical Data Analysis, p. 302)
With regards
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2009 Jun 10
1
Analisys in Multidimensional contingency tables
Dear R-list,
Hi everyone, Im trying to make an analysis of multidimensional contingency
tables using R. I' working with the Agresti example where you have the
data from 3 categories. The thing is how can I do the analisys using the
G2 statistics. Somebody can send me an Idea?
I attach the program where you can find the data.
Best Regards,
> prob1<-
2009 Feb 27
1
Ordinal Mantel-Haenszel type inference
Hello,
I am searching for an R-Package that does an exentsion of the Mantel-Haenszel test for ordinal data as described in Liu and Agresti (1996) "A Mantel-Haenszel type inference for cummulative odds ratios". in Biometrics. I see packages such as Epi that perform it for binary data and derives a varaince for it using the Robbins and Breslow variance method. As well as another pacakge
2011 Aug 16
1
Repeated measures cummulative logit mixed model
Dear R help gurus,
I have the following problem and I would be delighted if you could help me.
>From a large (1500) cohort of patients we have been taking some measurements
(ECG measurements, but its not important). The measurements are ordinal in 4
grades (Grade I-IV, grade IV being the most severe form). Every patients has
been measured several times (usually once per year). The
2009 Oct 28
1
hierarchical partitioning in generalized linear mixed models
dear colleagues,
I want to use hierarchical partitioning methods to evaluate variance
contributions of differente predictors within a generalized linear
mixed model framework. I don't know if this is possible, because I can
not found anything about this issue. My error is poisson and I, at
least, a random factor in the designed analysis.
I acknowledge any idea about how deal with
2005 Nov 10
2
Help to multinomial analyses
Dear Sirs,
Could you please be so kind as to send us some information on residuals in
multinomial logistic models? Is it possible to use R software?
We thank you in advance.
Sincerely yours
Luciana Alves,MSc
Beatriz Leimann, MD
--
Luciana Correia Alves
Doutoranda em Sa??de P??blica
ENSP - Fiocruz
2009 Jul 30
1
Logistic regression and R
Hello everybody :-)
I have some data that I want to model with a logistic regression, most
of the independent variables are numeric and the only dependent is
categorical, I was thinking that I could apply a logistic regression
using glm but I wanted to deepen my knowledge of this so I tried to do
some reading and found the "iris" dataset, now I would like to ask two
things, first
2009 Apr 24
1
ordinal logistic regression for longitudinal data set
Hi,
Can one tell me which procedure will fit an ordinal logistic regression
model for longitudinal data set.
To be precise, I have both dichotomous and polytomous items. Also, I
would like to specify different covariance structures (unstructured, ar1
etc) for trial runs.
Thanks
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2010 Jun 22
1
Bayesian Code for contingency tables
Hello,
Is there anywhere I can find some Bayesian Code for 2 by 2 tables or even
the non-central hypergeometric distribution in R? Packages would be helpful
but the actual coding in R is much better.
Thanks,
Thanks Jim
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2008 Feb 04
1
Association Measures
Does anybody know if there is an implementation of Goodman-Kruskal lambda measures of association in R?
Also, how we can analyze ordered contingency tables and compute the relative measures of associations in R?
Thank in advance
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2010 Feb 05
2
glm models with more than one response
Hi everyone,
I am trying to construct a glm and am running into a couple of questions.
The data set I am using consists of 6 categories for the response and 6
independent predictors representing nutrient concentrations at sample point
locations. Ultimately I'd like to use the probabilities for each response
category in a simulation model such that these probabilities are used to
define a
2007 May 08
3
ordered logistic regression with random effects. Howto?
I'd like to estimate an ordinal logistic regression with a random
effect for a grouping variable. I do not find a pre-packaged
algorithm for this. I've found methods glmmML (package: glmmML) and
lmer (package: lme4) both work fine with dichotomous dependent
variables. I'd like a model similar to polr (package: MASS) or lrm
(package: Design) that allows random effects.
I was
2007 Jul 19
3
Can I test if there are statistical significance between different rows in R*C table?
Dear friends,
My R*C table is as follow:
better
good
bad
Goup1
16
71
37
Group2
0
4
61
Group3
1
6
57
Can I test if there are statistical significant between Group1 and
Group2, Group2 and Group3, Group1 and Group2, taking into the multiple
comparisons?
The table can be set up using the following program:
a<-matrix(data=c(16,71,37,0,4,61,1,6,57),nrow=3,byrow=TRUE)
Thanks
2000 Mar 01
1
Contingency tables as data frames
{again a message that was sent to owner-r-help (which is me, currently)
why on earth ???!??!?
reply to R-help or the original sender Brett Presnell; }
I'm teaching a categorical data analysis course this term, and a minor
"problem" has resurfaced that I have often thought about before. This
applies equally to Splus I suppose, but my undergrads aren't using
Splus.
It
2008 Mar 02
5
discrete variable
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Nom : non disponible
Url : https://stat.ethz.ch/pipermail/r-help/attachments/20080302/86a07850/attachment.pl
2012 Mar 13
1
Visualising multiple response contingency tables
Dear R Help Community,
I have a question and an answer (based on reading this forum and online
research), but I though I should share both since probably there's a much
better way to go about my solution. My question is specifically about how
to best visualise multiple response contingency tables. What I mean by
'multiple response' is that the total number of responses per row of a
2009 Oct 20
1
2x2 Contingency table with much sampling zeroes
Hi,
I'm analyzing experimental results where two different events ("T1"
and "T2") can occur or not during an experiment. I made my experiments
with one factor ("Substrate") with two levels ("Sand" and "Clay").
I would like to know wether or not "Substrate" affects the occurrence
probability of the two events. Moreover, for each
2002 Oct 09
1
Help with
Hello All:
I hope I can get someone interested in this problem:
Agresti in "Analysis of Categorical Data," p. 289, applies a "row and column
effects model" to analyze a two-dimensional cross-classification of ordinal
data.
He got his results in either SAS or GLIM. Is there a way to replicate his
results with R?
He claims the RC model fits well with G^2(RC) = 3.57 with df =
2005 Jun 24
1
comparing strength of association instead of strength of evidence?
Hi,
I asked this question before, which was hidden in a bunch of
questions. I repharse it here and hope I can get some help this time:
I have 2 contingency tables which have the same group variable Y. I
want to compare the strength of association between X1/Y and X2/Y. I
am not sure if comparing p-values IS the way even though the
probability of seeing such "weird" observation under H0
2011 Mar 16
1
Standardized Pearson residuals (and score tests)
Hi Peter and others,
If it helps, I wrote a small function glm.scoretest() for the statmod
package on CRAN to compute score tests from glm fits. The score test for
adding a covariate, or any set of covariates, can be extracted very neatly
from the standard glm output, although you probably already know that.
Regards
Gordon
---------------------------------------------
Professor Gordon K