Displaying 20 results from an estimated 1000 matches similar to: "Non parametric, repeated-measures, factorial ANOVA"
2010 Sep 22
2
Modelo de Brunner-Langer para medidas repetidas..?
Alguien conoce este un test no paramétrico que se llama de
Brunner-Langer model para dependent data, también conocido como modelo
longitudinal?
Intuyo que es como un Friedman pero que admite algún efecto fijo.
Graccie mile.
--
Antonio Maurandi López
Universidad de Murcia
Edif. CAID. Campus de Espinardo.
30100 Murcia
@. amaurandi en um.es
T. 868 88 7315 F. 868 88 7302
www.um.es/sai
2003 Dec 10
0
factorial experiments and repeated measures
Dear All,
I'm new to the list and relatively new to R (but not so to S-Plus) and I?ve
been asked to help study some experimental data.
In a factorial experiment (5 factors at 2 levels) the response-variable was
measured at various times (0, 2, 5, 7, ..., 30 days after start). There's just
one run for each factor combination! I intend to use the nlme library of
Pinheiro and Bates in a
2009 Nov 08
0
Repeated measures on a factorial unbalanced in a blocks with split-plot design
Dear all,
I am trying to analyze data from an experiment like this:
Factors:
Hormone - Levels: SH, CH (S = without; C=with; H=Hormone)
Time - Levels: 19/08/09, 04/09/09, 18/09/09, 08/10/09, 20/10/09 (DD/MM/YY)
Nutrition - Levels: Completa, Sem (without)
Macronutrition - Levels: Ca, K, Mg, P, Sem (without)
Time is the measures day. It reflect the days after germination.
Blocks : 4
plants per
2012 Dec 06
1
Fitting a multinomial model to a multi-way factorial design with repeated measures: help on package and syntax
Dear all,
I studied in tank prey fish behavior. Using the design described below
(and R code), I want to test the effects of both habitat and predator
(and interaction) on prey fish's vertical distribution, which was
recorded (with repeated measures) as a categorical variable.
I found that package mlogit might fit to my need but I don't know how to
specify my complex design in the
2003 Feb 14
2
factorial function
Sorry for the stupid question, but is there the factorial function in
R? I tried to find it using help.search('factorial') but got nothing
appropriate.
Many thanks,
-Serge
2003 Jun 15
0
Summary: Factorial function in R
Thanks to Martin, Marc, Dennis, Rashid and Bill for comment.
The short answer is there is no factorial function within the base
package, so use the result that gamm(x + 1) = x!. This what the
factorial() function in the package gregmisc does:
factorial <- function (x) gamma(1 + x)
Bill V. also writes:
"Your best move is usually to use the lgamma() function (for log gamma)
and do
2008 Sep 28
5
birthday problem (factorial limit)
Hi,
I tried to calculate the formula for the birthday problem
(the probability that at least two people out of a group of n people
share the same birthday)
But the factorial-function allows me only to calculate factorials up
to 170.
So is there a way to push that limit?
to solve this formula:
(factorial(365) / factorial((365-23))) / (365^23)
(n=23)
2017 Nov 29
1
2^3 confounded factorial experiment
The following R commands were written:
>help.search("factorial")
>data(npk)
>npk
>coef(npk.aov)
In the output of coef command, please explain me the interpretation of coefficients of block1 to block 6 in this 2^3 confounded factorial experiment.
Thanks.
[[alternative HTML version deleted]]
2007 Sep 16
1
Factorial, L-moments, and overflows
Hi everyone,
In the package POT, there is a function that computes the L-moments of a given sample (samlmu). However, to compute those L-moments, one needs to obtain the total number of combinations between two numbers, which, by the way, requires the use of a factorial. See, for example, Hosking (1990 , p. 113).
How does the function "samlmu" in the package POT avoids overflows?
I
2010 Aug 03
1
Help on Full Factorial Design
Hi Everyone,
I found the doe.base package and the FrF2 package to do nice experimental
planning and I'm very happy about this tool I was looking for such a long
time.
But I still try to find out how to add center points to a full factorial
design. The FrF2-package has a center point option but is just supporting
fractional designs?
Is there a possibility to have center points within the
2009 Jan 31
1
interaction plot in R for factorial experiment
hi,
i did a 2^4 factorial experiment, and i got the following result:
Effect t p (computer)
p -484.52494328125 -5.64590926071629 <0.0001
d -450.67095078125 -5.25142684568607 <0.0001
pd 438.80508046875 5.11316022388923 0.0001
t 351.87216640625 4.1001776078805 0.0008
pt -341.05023984375 -3.97407550262202 0.0011
dt -311.27784109375
2003 Jun 13
1
Factorial function in R?
Is there a native factorial function in R [my searches have been
fruitless], or do I need to use gamma() function?
*********************************************************************
Dr Peter Caley
CSIRO Entomology
GPO Box 1700, Canberra,
ACT 2601
Email: peter.caley@csiro.au
Ph: +61 (0)2 6246 4076 Fax: +61 (0)2 6246 4000
*********************************************************************
2008 Nov 07
2
2^2 factorial design question
Dear R Gurus:
How do you put together a 2^2 (or even 2^k) factorial problem, please?
Since you have 2 levels for A and B, do you put in "A+" and "A-" as
factors, please?
Thanks,
Edna Bell
2000 Jul 06
1
factorial(), modulus()
Dear R friends,
I was wondering if there were factorial and modulus functions out there
that I've somehow overlooked?
-P.
--
Peter L. Hurd, Ph.D.
phurd at uts.cc.utexas.edu
http://www.zo.utexas.edu/research/phurd fax 512.471-3878
Section of Integrative Biology, University of Texas, Austin TX 78712 USA
2003 Sep 20
1
factorial design
Hello all,
I´m trying to study a factorial design, but I can´t understand why did Df, Sum Sq and Mean Sq of residuals alter when I Split the interaction? I think that Split the interaction must not alter the residuals. Am I doing something wrong?
Could anyone help me?
My data and functions I tried are:
Y<-c(196,213,183,
192,253,199,
251,331,276,
2008 Nov 04
1
[OT] factorial design
Dear R Gurus:
I vaguely remember reading that if interaction was present in a
factorial design, then the main effect results were suspect.
However, I was reading a text which now uses the tests for main
effects even if interaction is present.
Which is correct, please?
Thanks,
Edna Bell
2009 Dec 30
0
factorial analysis influenced by data skewness
Hello
I run a factorial analysis on 20 variables describing the behaviour of
insects on 9 different resistant plants. I then biologically interpreted
each of the 5 factors obtained, with respect to the variables with the
highest loading value for each factor. And I run a GLM on each factor with
plant as independent variable. Eventually, I inferred the resistance
mechanism by comparing (through
2010 Feb 26
1
factorial block design with missing data
Hello!
I have read somewhere (somehow, I can't seem to find it again, it's been a couple of months) that when analyzing factorial block design, the position where you put the block factor is important, even more when there are missing values.
I understand that when using anova.lm, the order is sequential, so that if I want to check for a treatment effect, I should put my blocking factor
2005 Nov 04
1
Plotting Factorial GLMs
Hello all,
I'm attempting to plot the functions from a generalized linear model
while iterating over multiple levels of a factor in the model. In
other words, I have a data set
Block, Treatment.Level, Response.Level
So, the glm and code to plot should be
logit.reg<-glm(formula = Response.Level ~ Treatment.Level + Block,
family=quasibinomial(link="logit")))
plot(
2010 Jun 09
0
non-parametric repeated measures anova using Proportional Odds Model - examples?!
Hello dear R-help mailing list,
I wish to perform a non-parametric repeated measures anova.
If what I read online is true, this could be achieved using a mixed Ordinal
Regression model (a.k.a: Proportional Odds Model).
I found two packages that seems relevant, but couldn't find any vignette on
the subject:
http://cran.r-project.org/web/packages/repolr/