nobody? please
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Mario Garrido Escudero
PhD student
Dpto. de Biología Animal, Ecología, Parasitología, Edafología y Qca. Agrícola
Universidad de Salamanca
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Sent fr
Hi R users,
Iwant to run a model, but want to know previously if my data present
homoscedascity:
the model is something like this:
glm(ax~a*b*c*d)
I´ve found four different ways to test for homoscedascity, but i want to
know which is correct:
1.- > fligner.test(glm(x~a*b*c*d))
2.- > fligner
Hello,
I´m starting with my PhD and I have to stop because i got a little knowledge
in R and statistics.
I´ve got a model of this kind:
binary response variable: prevalence of infection (0/1)
3 categorical independent variables: sex, month and name of the area
I was trying with a full model li
Thanks very much both.
I´m starting playing with it, i was a little afaid because it was part of my
job, but now i've found it very funny.
Josh, I've got just data for 3 representatives months, and it's not a priori
rejectable that could be differences in the ratio of changes along the
months bet
Thanks for the advice, I will use next years. Till know i´ve just got data
for 3 independent months and one of the months it´s the joining for all the
summer because of the small sample size, so, I suppose, I can't use it in
the way you say.
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Mario Garrido Escudero
PhD student
Dpto. de Biolo
Hi,
I'm working with R in windows and I wonder if there is any command (of the
kind CTRL+ ) to transfer the commands I've worked with (like: >
model<-glm(prevalencia~edadysexo*mes*zona,binomial)) to a script
automatically, without the results I received from R after execute them.
Another question,
Thanks very much
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Mario Garrido Escudero
PhD student
Dpto. de Biología Animal, Ecología, Parasitología, Edafología y Qca.
Agrícola
Universidad de Salamanca
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Sent from t
Hi, somebody can help me. Idon't understand very well the manual of the this
package, I suppose I must enter "wdtxtStart", before I start working, but is
supposed that this command should open Word, but nothing happens.
I use Rgui, not Rcmdr.
Thanks
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Mario Garrido Escudero
PhD student
Dpto.
R2wd is working but i received an alarm:
> wdtxtStart()
Error en R2wd::wdGet() : tentativa de aplicar una no-función
The translation is "attempt to apply a no-function"
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Mario Garrido Escudero
PhD student
Dpto. de Biología Animal, Ecología, Parasitología, Edafología y Qca.
Agrícola
Univ
Here´s my problem,
i have developed the function kurtosis (using R-book as a guide) with this
commands:
kurtosis<-function(x) {
m4<-sum((x-mean(x))^4)/length(x)
s4<-var(x)^2
m4/s4 - 3 }
Then create the object fem, which is the difference between the count of a
trait in the left side of the body mi
That's it.
thanks very much, I save hours if work qith your reply
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Mario Garrido Escudero
PhD student
Dpto. de Biología Animal, Ecología, Parasitología, Edafología y Qca. Agrícola
Universidad de Salamanca
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Hi,
I'm trying to make a model in order to know wich factors got´s influence in
the intensity of a infection, but just in the individuals who's got this
infection. In my data I've got a variable called "prevalence" with 2 levels:
1.- Infected individual
0.- Non infected
So what i'm trying to do i
Hi,
I´ve got this model
> model<-glm(prevalence~agesex+agesex:month,binomial)
and the output of anova is like that
> anova(model,test="Chisq")
Df Deviance Resid. Df Resid. Dev P(>|Chi|)
NULL524 206.97
agesex
Thanks,
I´ve found the differencies with a posteriori tests.
I don't put the term month because it is not significant.
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Mario Garrido Escudero
PhD student
Dpto. de Biología Animal, Ecología, Parasitología, Edafología y Qca. Agrícola
Universidad de Salamanca
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Hi,
i´ve read all that i could about the post-hoc test for kruskall-Wallis, now
i know that i need to run Duncan test, but i´m not able to find in any
package or script. I s anybody knows where can i find it?
Thanks
-
Mario Garrido Escudero
PhD student
Dpto. de Biología Animal, Ecología, Paras
Hi R-users,
I need to run Filliben correlation test, but I'm not able to find this
function in any package.
Perhaps it isn't in a package, but sometimes anybody have program this
function or create a routine to estimate it.
I found it in google and I hope what I found it's in this page,
http://gene
Thanks very much, but...the OP, what's that?
Sorry
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Mario Garrido Escudero
PhD student
Dpto. de Biología Animal, Ecología, Parasitología, Edafología y Qca. Agrícola
Universidad de Salamanca
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Thanks very much,
I got, it runs perfect.
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Mario Garrido Escudero
PhD student
Dpto. de Biología Animal, Ecología, Parasitología, Edafología y Qca. Agrícola
Universidad de Salamanca
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I've read something about this problem, but I don't know how can i avoid this
problem.
Why the order of the factors give different results? I suppose it's because
the order of the factors, i've just changed "lcc" from the first position to
the last in the model, and the significance change complete
Ok, thanks,
I've been reading these days about what you tell me, but i don't understand
properly.
How could I know, with this tests, which variables are significant? I know
my dependent variable depends on the lcc and on the edadysexo. but only one
per test seems to be significant.
Thanks again
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Hi,
I´m trying to move to ubuntu at all, but I don´t like R in Ubuntu because it
runs in the terminal, so i can´t access directly to some options R gots in
Windows.
Is there any R can i install in ubuntu which runs in hos own prompt or
terminal??
Thanks
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Mario Garrido Escudero
PhD student
Dpt
Thanks very much again,
I´m reading some papers and articles about this issue and I think i´m
starting to understand the problem.
And thanks for the link to Professor Fox about the non-sequential Anova.
I'll be back with more doubts. I'm sure of that.
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Mario Garrido Escudero
PhD student
Dpto
Thanks very much,
and...Which do you recommend?
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Mario Garrido Escudero
PhD student
Dpto. de Biología Animal, Ecología, Parasitología, Edafología y Qca. Agrícola
Universidad de Salamanca
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Thanks very much everybody.
I'm going to try all the options and tell you
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Mario Garrido Escudero
PhD student
Dpto. de Biología Animal, Ecología, Parasitología, Edafología y Qca. Agrícola
Universidad de Salamanca
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Hi,
I´ve got some problems with the labels of the x-axis
I,ve got two factors with two categories each: sex (males and females) and
area (central and peninsulae),
but because of the lenngth in the graphic just appeared two of the four
labels.
I thought the solution could be rotate it 45º degrees
Sorry for the late answer.
You both put me iin the correct way.
Problem is solved
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Mario Garrido Escudero
PhD student
Dpto. de Biología Animal, Ecología, Parasitología, Edafología y Qca. Agrícola
Universidad de Salamanca
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Hi,
I just get interesting results owith non-parametric kruskalmc, and i want to
get a graph similar to those obtained for tukey.
I know how to do it for tukey ("plot(TukeyHSD(model))").
Anibody knows how to get a graph for kruskalmc
Thanks
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Mario Garrido Escudero
PhD student
Dpto. de Biolo
I've made fligner test with the same data, changing the orders of the
variables, and this what i get
> fligner.test(rojos~edadysexo*zona*ano*estacion)
Fligner-Killeen test of homogeneity of variances
data: rojos by edadysexo by zona by ano by estacion
Fligner-Killeen:med chi-squared =
Yeah! it works, i know it because of the degrees of freedom. This is what i
get now
> g <- interaction(ano, edadysexo, zona, estacion)
> fligner.test(rojos ~ g)
Fligner-Killeen test of homogeneity of variances
data: rojos by g
Fligner-Killeen:med chi-squared = 249.7591, df = 87, p
I've run an ancova, edadysexo is a factor with 3 levels,and log(lcc) is the
covariate (continous variable)
I get this results
> ancova<-aov(log(peso)~edadysexo*log(lcc))
> summary(ancova)
Df Sum Sq Mean Sq F value Pr(>F)
edadysexo2 31.859 15.9294 803.9843 <2e-
I answer myself, perhaps it can be useful to anyone.
The problem is that I tried to run a psot hoc test before i get the minimal
model by deleting the interaction,
if I do it:
> ancova2<-aov(log(peso)~edadysexo+log(lcc))
> anova(ancova,ancova2)
Res.DfRSS Df Sum of Sq F Pr(>F)
150
Try to use "kruskalmc" in the package pgirmess
I give one of my results
> kruskal.test(rojos~mes)
Kruskal-Wallis chi-squared = 132.3091, df = 3, p-value < 2.2e-16
> kruskalmc(rojos~mes)
Multiple comparison test after Kruskal-Wallis
p.value: 0.05
Comparisons
obs.dif critical.dif
Thanks very much
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Mario Garrido Escudero
PhD student
Dpto. de Biología Animal, Ecología, Parasitología, Edafología y Qca. Agrícola
Universidad de Salamanca
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Sent from the R help
Hi,
i was working with this model
> mq<-glm(rojos~edadysexo*zona*estacion,quasipoisson)
and i get this minimal adequate model
> anova(mq5,test="F")
Df Deviance Resid. Df Resid. DevFPr(>F)
NULL518 64799
edadysex
i ran this model
> model2<-glm(rojos~ageandsex+sector+season+sector:season,quasipoisson)
> glht(model2,linfct=mcp(ageandsex="Tukey"))
General Linear Hypotheses
Multiple Comparisons of Means: Tukey Contrasts
Linear Hypotheses:
Estimate
M - H == 0 0.2898
SUB - H == 0
Nobody?
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Mario Garrido Escudero
PhD student
Dpto. de Biología Animal, Ecología, Parasitología, Edafología y Qca. Agrícola
Universidad de Salamanca
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Sent f
Hi,
I,ve a run a model like this
mcrm<-glm(catroj~month,binomial)
being catroj a binary response variable with two levels (infected and
non infected)
> anova(mcrm3,test="Chisq")
Df Deviance Resid. Df Resid. Dev P(>|Chi|)
NULL 520 149.81
mes 3
Thanks very much, Frank,
I will try, first I have to adjust your solution to my problem cause i have
just for months : april, may, june and july.
I will tell you!!
Thanks again
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Mario Garrido Escudero
PhD student
Dpto. de Biología Animal, Ecología, Parasitología, Edafología y Qca. Agrícola
Hi,
I've got this model and following Hothorn et al advices, I used glht for a
post hoc comparison
> modezqM<-glm(rojos~estacion*zona3,quasipoisson,subset=(edadysexo=="M"))
> anova(modezqM,test="F")
Df Deviance Resid. Df Resid.
Dev F
I try to fit a repeated measures model, in which:
FA: The difference in the number of scales between the left and right sides
for a given trait
trait: the each of the measured features are 6 for each individual
Condition: is the state of condition of each individual
Individual: Each of the specimen
When I try to adjust a mixed model with random effects I can make this order
without problem
> lm.FA<-lme(absFA~trait*condition,random=~1|individual)
But if I try to fit a model in which the response (absFA) is not the same in
all individuals at different levels of "trait" factor , but varies ran
hello,
Is there any function in R to transform a numerical continuos variable in a
ranked variable?
Thanks
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Mario Garrido Escudero
PhD student
Dpto. de Biología Animal, Ecología, Parasitología, Edafología y Qca. Agrícola
Universidad de Salamanca
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