[R] Post Details for Two ASA Awards

Please post to R-help: Hi all - I wanted to share a message putting TWO upcoming awards on your radar. These are jointly sponsored by the Graphics and Computing sections of the American Statistical Association (ASA): The student Paper Award. Full details here:

[R] post tweets with media attachment - and with retirement of rtweet

All - I run an automated script that pulls in some market data, makes some charts, and posts them to twitter. A couple of them per day, and then once per month there's a little flurry around the CPI report. For a while rtweet() worked great. Then v2 happened and Oauth2.0. The package broke,

[R] Post-hoc pairwise Fisher’s exact tests

Dear All: Re: Post-hoc pairwise Fisher’s exact tests with confidence Intervals I am trying to conduct a Post-hoc pairwise comparison for comparing the proportions of the ones in the 7 groups using the fisher exact test. I have a data with 7 variables, data = (0,1). Event = 1. *Q1.* Is

[R] post new question

Hi, I am interested in running sensitivity analysis (variance-based). But instead of running Monte Carlo simulations in R, I already have my sample data in two tables. So how do I run Sobol on my own data then? Does that mean that the model = null? And then to use tell()? I cannot find any

Re: [R] Post Hoc for Homogeneity of variance

> Thomas Subia Could you please explain the difference between: > any differences in variance between factors. and > variance differences between factors ? *** This email and any attachments are confidential. Any

Re: [R] Post Hoc for Homogeneity of variance

1. Wrong list. This list is about R programming, not statistical questions (though they do sometimes intersect). stats.stackexchange.com might be a better place for you to post your question. 2. Try a search on "post hoc test of variances" at rseek.org. You might find something relevant. 3. What

[R] Post Hoc for Homogeneity of variance

Colleagues, When using Levene's test, I can identify if there are any differences in variance between factors. This is straight forward Is there a way to do a post hoc test to identify variance differences between factors? This is not so straight forward. All the best Thomas Subia

Re: [R] Post for R

.@yahoo.com>; r-help mailing list <r-help@r-project.org> Subject: Re: [R] Post for R Hi Carrie, You may have a problem with this if some subsets are empty: L3<-lapply(split(df,cut(df$max,seq(0,1,by=0.01))), split,cut(df$submax,seq(0,0.2,by=0.02))) Jim On Thu, Jun 1, 2017 at 12

Re: [R] Post for R

Hi Carrie, You may have a problem with this if some subsets are empty: L3<-lapply(split(df,cut(df$max,seq(0,1,by=0.01))), split,cut(df$submax,seq(0,0.2,by=0.02))) Jim On Thu, Jun 1, 2017 at 12:48 PM, carrie wang via R-help wrote: > > Hello, > I want to split the

Re: [R] Post for R

Carrie, I would suggest a few things before posting your code here: - Put a dput(df) - Format it properly, as it stands it won't compile, because you're missing newlines/semicolons between, e.g. Z <- list()*; *G <- list(); for (i in length(L1)){ Z=data.frame(L1[i])*;* G <-

[R] Post for R

Hello,  I want to split the dataframe into 1000 groups based on two column values(max value and second max value). First, I made two lists L1 and L2.  L1 is the list divided into 100 groups based on the range of max value and L2 is divided into 10 groups based on the second max values. Now I

Re: [R] Post hoc comparisons for interaction effects linear mixed effects models (lm4)

Dear Katherina, Multcomp can't handle interactions automatically. You need to create the contrasts manually. Best regards, Thierry Op 25-mrt.-2017 08:13 schreef "Katharina Voigt" : > Hi, > I want to obtain post hoc comparisons for a model with a three-way >

[R] Post hoc comparisons for interaction effects linear mixed effects models (lm4)

Hi, I want to obtain post hoc comparisons for a model with a three-way interaction (FullModel5 <- lmer(CIVADmc ~ 1 + Factor1 * Factor2 * Factor3 + (1|ID) + (1 | Item), data=Exp3_WTP_diffi). I tried: "summary(glht(FullModel4, linfct = mcp(Factor1*Factor2*Factor3 = "Tukey")), test =

Re: [R] Post: R-help : help with loops

You made it. Next time set your email program to send plain text instead of HTML format to avoid us receiving a corrupted version of what you sent. (This is a plain text mailing list. ) You don't need looping, you need ?merge and ?ifelse. Df1 <- merge( Df1, Df2, all.x = TRUE, by = c ( "Date",

[R] Post: R-help : help with loops

Hello. Im trying to post the following message in R-Help. I think I must send it via email to do so, so here it is: Hello, I need help with some code. Basically, I have experiments results which I need to process. I have 2 dataframes with 3 columns Df1 <- data.frame (Date,

[R] post a message - R help. Surivival analysis and goodness of fit

Hello there, I have registered for both through nabble and R-help-request with this email. I want to post the following question: I want to implement a Hosmer Lemeshow Goodness of Fit test to my survival analysis. In R we can use the hoslem.test() function. The x values are our observations,

Re: [R] post a message - R help. Surivival analysis and goodness of fit

> On Nov 5, 2015, at 6:34 AM, Luke Gaylor wrote: > > Hello there, > > I have registered for both through nabble and R-help-request with this email. > > I want to post the following question: > > I want to implement a Hosmer Lemeshow Goodness of Fit test to my

[R] Post hoc ANCOVA

My name is Thalita, and I am a Phd student from Brasil. I am trying to do a post hoc of ANCOVA to compare three slopes with Tukey test. I am using: #percentagem: dependent variable #tratamento: factor #tempo: covariate #ANCOVA ancova(percentagem~tratamento*tempo, data=data)

[R] Post-hoc test on split-plot design

Hi Richard, Thank you very much for your cooperation. I installed the packages HH and run the following model: Bud.aov-aov(terms(Budburst~CO2*SoilTemp*Photoperiod+Greenhouse/(SoilTemp*Photoperiod),keep.order=TRUE),data=data) summary(Bud.aov) Df

Re: [R] Post-hoc tests on Split-plot design

Hi Richard, Thank you very much for your cooperation. I installed the packages HH and run the following model: Bud.aov-aov(terms(Budburst~CO2*SoilTemp*Photoperiod+Greenhouse/(SoilTemp*Photoperiod),keep.order=TRUE),data=data) summary(Bud.aov) Df

Re: [R] Post-hoc tests on Split-plot design

Yes, it is possible with the mmc function in the HH package. install.packages(HH) ## if you don't have it yet. library(HH) ?MMC Look at the maiz example, the long last example in ?MMC. When you are ready for followup questions, reply to this message to R-help (not directly to me and not to

[R] Post-hoc tests on Split-plot design

Dear R-help, can you please post the following message to the r-nabble forum. Thanks! - Dear R users, I have been attempting to carry out post-hoc tests on a

[R] Post hoc comparissons

Hi Folks, I have been using the TukeyHSD to conduct post hoc comparisons. The challenge is I have two interacting factors, one of which has 6 levels (cover types), and the other 2 (study areas).As a result interpreting the post hoc comparisons is difficult when you get a list of every

Re: [R] Post hoc comparissons

] On Behalf Of Reid, Doug (MNR) Sent: Tuesday, July 29, 2014 2:57 PM To: r-help@r-project.org Subject: [R] Post hoc comparissons Hi Folks, I have been using the TukeyHSD to conduct post hoc comparisons. The challenge is I have two interacting factors, one of which has 6 levels (cover types

[R] Post-hoc tests on linear mixed model give mixed results.

Dear all, I am quite new to R so apologies if I fail to ask properly. I have done a test comparing bat species richness in five habitats as assessed by three methods. I used a linear mixed model in lme4 and got habitat, method and the interaction between the two as significant, with the random

Re: [R] Post-hoc tests on linear mixed model give mixed results.

Wrong list! This does not concern R programming. Post on the r-sig-mixed-models list instead in **PLAIN TEXT** rather than html. Cheers, Bert Bert Gunter Genentech Nonclinical Biostatistics (650) 467-7374 Data is not information. Information is not knowledge. And knowledge is certainly not

Re: [R] Post-hoc tests on linear mixed model give mixed results.

Thanks Bert, Will post on r-sig-mixed-models list. Can't help it being in html though as i sent the query via -email. Cheers Claire Date: Thu, 22 May 2014 09:29:44 -0700 Subject: Re: [R] Post-hoc tests on linear mixed model give mixed results. From: gunter.ber...@gene.com To: c.word

Re: [R] Post-hoc tests on linear mixed model give mixed results.

On 23/05/14 06:59, Claire wrote: Thanks Bert, Will post on r-sig-mixed-models list. Can't help it being in html though as i sent the query via -email. Huh? What do you mean by -email? Do you really mean email (without the minus sign)? We *all* send our queries via email. This *is* email.

[R] post hoc test to a significant Kruskal-Wallis test package asbio function pairw.kw()

Dear all, I am trying to apply a post hoc test to a significant Kruskal-Wallis test. I eventually found the function ‘pairw.kw()’ of the package “asbio”. This function has the following syntax: pairw.kw(y, x, conf) Arguments y The response variable. A vector of quantitative responses.

Re: [R] post hoc test to a significant Kruskal-Wallis test package asbio function pairw.kw()

Hi, Try: pairw.kw(y,factor(x),conf=.95) A.K. On Monday, October 21, 2013 7:10 PM, luigi marongiu marongiu.lu...@gmail.com wrote: Dear all, I am trying to apply a post hoc test to a significant Kruskal-Wallis test. I eventually found the function ‘pairw.kw()’ of the package “asbio”. This

Re: [R] post hoc test to a significant Kruskal-Wallis test package asbio function pairw.kw()

Luigi, agricolae has a nice function for this with the post hoc test as part of the output. AKK On 10/21/2013 11:12 PM, arun wrote: Hi, Try: pairw.kw(y,factor(x),conf=.95) A.K. On Monday, October 21, 2013 7:10 PM, luigi marongiu marongiu.lu...@gmail.com wrote: Dear all, I am trying

[R] post-hoc test for aovp() function

Hello. I am using the aovp() function from the library lmPerm with one factor (group: 3 levels) controlling for 2 covariates. I now want to conduct a post-hoc test using the same model. Unfortunately, I did not find an appropriate test which works with 2 covariates. I would be grateful for any

Re: [R] Post hoc power analysis for mixed-effects models

Hi David, Thank you very much for your reply. I do understand your point. I was requested to do power analyses for null findings by reviewers. I think simulations would be an alternative choice given the validity of post hoc power analysis is questionable. The package, pamm does simulation.

Re: [R] Post hoc power analysis for mixed-effects models

On Jun 4, 2013, at 4:46 PM, Kota Hattori wrote: Dear all, I have been searching ways to run power analysis for mixed-effects models. However, I have not been successful in the research. Today I would like to ask your help. As long as I see from my search, Martin Julien wrote a package

Re: [R] Post hoc power analysis for mixed-effects models

Kota Hattori kota.hattori at canterbury.ac.nz writes: Dear all, I have been searching ways to run power analysis for mixed-effects models. However, I have not been successful in the research. Today I would like to ask your help. As long as I see from my search, Martin Julien wrote a package

[R] Post hoc power analysis for mixed-effects models

Dear all, I have been searching ways to run power analysis for mixed-effects models. However, I have not been successful in the research. Today I would like to ask your help. As long as I see from my search, Martin Julien wrote a package called pamm for the power analysis. One of the

[R] Post-fit survival curve for shared frailty model

Hi, I have fitted a shared frailty model using coxph in the survival package with 'center' as random effect. Now I'm trying to obtain the conditional survival curve for a new test case that comes from one of the specified centers in the model. The data set on which the model is fitted contains

Re: [R] Post-fit survival curve for shared frailty model

On May 31, 2013, at 6:01 AM, Ulf Sandvik wrote: Hi, I have fitted a shared frailty model using coxph in the survival package with 'center' as random effect. Now I'm trying to obtain the conditional survival curve for a new test case that comes from one of the specified centers in the

[R] Post hoc test for GLM with poisson distribution

Hi R-people, I performed controlled experiments to evaluated the seeds germination of two palms under four levels of water treatments. I conducted a generalized linear model (GLM) with a Poisson distribution to verify whether there were significant differences in the number of seed germination

Re: [R] Post hoc test for GLM with poisson distribution

On May 14, 2013, at 21:04 , Bel Braz wrote: Hi R-people, I performed controlled experiments to evaluated the seeds germination of two palms under four levels of water treatments. I conducted a generalized linear model (GLM) with a Poisson distribution to verify whether there were

[R] post hoc comparisons on random effects

Dear all, is it possible to run a post hoc comparison using the glht function on random factors from a mixed model? For example, in the model lie(Yield~1+Meadow, random=1|Site/Area/Quadrate). thank you, Vasillis Papathanasiou, Marine SciencesPalaion Fokon 35-37Thessaloniki,

[R] post hoc comparisons of the interaction of factors

Hi everyone, I'm running the following analysis for two meadows and two periods. I need to get the post hoc comparisons for the combination of the two factors (meadowA*PeriodA, meadowA*PeriodB, meadowB*PeriodB, meadowB*PeriodA). I use the function glht glht(model, linfct=mcp(Meadow=Tukey) in

[R] Post-hoc test for a zero inflated continuous data set with a tweedie distribution

Post-hoc test for a zero inflated continuous data set with a tweedie distribution? I have a zero inflated continuous data set of aphid feeding duration on 10+ species of plant. I have fitted a glm model with a tweedie distribution and used anova() function to show that there is significance

Re: [R] Post hoc tests in gam (mgcv)

David, How would you interpret the results of a post hoc test for sexcolor when you have an interaction term with sexcolor in your model? Perhaps it would be helpful to plot doy vs. predicted tle with confidence intervals for each of the four levels of sexcolor at a fixed tl (e.g., the mean).

[R] Post hoc tests in gam (mgcv)

Hi. I'm analysing some fish biological traits with a gam in mgcv. After several tries, I got this model log(tle) = sexcolor + s(doy, bs = cc, by = sexcolor) +log(tl) sexcolor is a factor with 4 levels doy is day of year, which is modeled as a smoother tl is total length of the fish The summary

[R] Post Hoc tests for ANOVA

Hi, I was trying to figure out how to do post-hoc tests for Two Way ANOVAs and found the following 2 approaches: a. Do pairwise t-tests (bonferroni corrected) if one finds significance with the ANOVA. Link- http://rtutorialseries.blogspot.com/2011/01/r-tutorial-series-two-way-anova-with.html

Re: [R] Post Hoc tests for ANOVA

Please look at the ?mmc example for two-way ANOVA in library(HH). If you don't already have HH you can get it with install.packages(HH) library(HH) ?mmc mmc uses the glht function in the multcomp package for its calculations and then draws the MMC graph. Rich On 10/19/12, Amartya

Re: [R] Post Hoc tests for ANOVA

Amartya: This is probably more of a statistics question than an R question. I would go with the Tukey HSD, were I you as that is its intention. Is there anyone in your organization (school, company, etc) that does statistical consulting? I have had wonderful experience working with the

Re: [R] Post by non-member to a members-only list

On 16-Sep-2012 05:22:47 David Winsemius wrote: On Sep 15, 2012, at 7:17 PM, mcg wrote: Dear moderator; I'm on the R-Mailing list with the same (giepe...@gmail.com) email address, still I get the Post by non-member... message. Am I not a member than? It appears you are currently

[R] Post by non-member to a members-only list

Dear moderator; I'm on the R-Mailing list with the same (giepe...@gmail.com) email address, still I get the Post by non-member... message. Am I not a member than? Cheers, Michael __ R-help@r-project.org mailing list

Re: [R] Post by non-member to a members-only list

On Sep 15, 2012, at 7:17 PM, mcg wrote: Dear moderator; I'm on the R-Mailing list with the same (giepe...@gmail.com) email address, still I get the Post by non-member... message. Am I not a member than? It appears you are currently subscribed as one 6813 Non-digested Members. -- David

Re: [R] Post stratification weights in survey package in R

On Sun, May 13, 2012 at 7:10 PM, Ruijie breakaw...@gmail.com wrote: Hi all, I have data collected from a survey administered on a subset of the population. I also have the population proportions of variables such as gender, race and housing type. I would like to combine the weights from each

[R] Post stratification weights in survey package in R

Hi all, I have data collected from a survey administered on a subset of the population. I also have the population proportions of variables such as gender, race and housing type. I would like to combine the weights from each separate cross tab (of gender, race and housing type) such that the

[R] Post hoc test for lm() or glm() ?

Hi R-helpers, TukeyHSD() works for models fitted with aov(), but could anyone point me to a function that performs a similar post hoc test for models fitted with lm() or glm()? Thanks in advance, Mark __ R-help@r-project.org mailing list

Re: [R] Post hoc test for lm() or glm() ?

The R multcomp package provides one general approach to multiplicity correction. For general contrasts in lm and glm, the rms package's ols and Glm functions make this even easier to use. Frank Mark Na wrote Hi R-helpers, TukeyHSD() works for models fitted with aov(), but could anyone

Re: [R] Post hoc test for lm() or glm() ?

The glht function in the multcomp package is what you are looking for. There are additional examples in the ?MMC help file in the HH package. Rich On Thu, Feb 2, 2012 at 3:42 PM, Mark Na mtb...@gmail.com wrote: Hi R-helpers, TukeyHSD() works for models fitted with aov(), but could anyone

Re: [R] Post hoc test for lm() or glm() ?

Thank you Richard and Frank for your very quick and helpful replies. Cheers, Mark On Thu, Feb 2, 2012 at 2:58 PM, Frank Harrell f.harr...@vanderbilt.edu wrote: The R multcomp package provides one general approach to multiplicity correction.  For general contrasts in lm and glm, the rms

[R] Post-hoc test on ANCOVA

Dear R-helpers, I have an ANCOVA with a significant effect of the factor, which has three levels. I wish to determine which of the levels are different from each other but, because my model was fitted with lm(), I cannot use TukeyHSD. For some reason, I get different results (no significant

Re: [R] Post-hoc test on ANCOVA

On Feb 1, 2012, at 4:34 PM, Mark Na wrote: Dear R-helpers, I have an ANCOVA with a significant effect of the factor, which has three levels. I wish to determine which of the levels are different from each other but, because my model was fitted with lm(), I cannot use TukeyHSD. For some

Re: [R] post the message

On 24.11.2011 04:34, M Subbiah wrote: When I fit a logistic regression with 5 predictors (all of them are coded) i get the standard error almost zero for the estimated coeffts. I request the members to offer comments / suggestions / diagnostics? [[alternative HTML version deleted]]

[R] post the message

When I fit a logistic regression with 5 predictors (all of them are coded) i get the standard error almost zero for the estimated coeffts. I request the members to offer  comments / suggestions / diagnostics? [[alternative HTML version deleted]]

[R] post hoc testing of glmer in lme4

I have a mixed model with a binomial response, four factor variables and one random factor. m1=glmer(nbhf.hour~Season+Diel+Tidal.phase+Tidal.cycle+(1|POD.ID),family=binomial,data =bl1,control=list(msVerbose=TRUE)) I have really need to try and find a post hoc test for this model and finding the

[R] post

Hello, I was trying to plot multiple graph using par(mfrow=c(3,2)). But this is giving me the following error: Error in axis(side = side, at = at, labels = labels, ...) : X11 font -adobe-helvetica-%s-%s-*-*-%d-*-*-*-*-*-*-*, face 1 at size 8 could not be loaded Could someone decode this

Re: [R] post

On 13.08.2011 06:52, bdeep...@ibab.ac.in wrote: Hello, I was trying to plot multiple graph using par(mfrow=c(3,2)). But this is giving me the following error: Error in axis(side = side, at = at, labels = labels, ...) : X11 font -adobe-helvetica-%s-%s-*-*-%d-*-*-*-*-*-*-*, face 1 at size 8

Re: [R] Post-hoc tests in MASS using glm.nb

: bill.venab...@csiro.au [mailto:bill.venab...@csiro.au] Sent: 17 May 2011 03:21 To: Bryony Tolhurst; r-help@r-project.org Subject: RE: [R] Post-hoc tests in MASS using glm.nb ?relevel Also, you might want to fit the models as follows Model1 - glm.nb(Cells ~ Cryogel*Day, data = myData) myData2

Re: [R] Post-hoc tests in MASS using glm.nb

Message- From: bill.venab...@csiro.au [mailto:bill.venab...@csiro.au] Sent: 17 May 2011 03:21 To: Bryony Tolhurst; r-help@r-project.org Subject: RE: [R] Post-hoc tests in MASS using glm.nb ?relevel Also, you might want to fit the models as follows Model1 - glm.nb(Cells ~ Cryogel

Re: [R] Post-hoc tests in MASS using glm.nb

On 2011-05-17 02:22, Timothy Bates wrote: Dear Bryony: the suggestion was not to change the name of the data object, but to explicitly tell glm.nb what dataset it should look in to find the variables you mention in the formula. so the salient difference is: m1- glm.nb(Cells ~ Cryogel*Day,

Re: [R] Post-hoc tests in MASS using glm.nb

Folks: Only if the user hasn't yet been introduced to the with() function, which is linked to on the ?attach page. Note also this sentence from the ?attach page:   attach can lead to confusion. I can't remember the last time I needed attach(). Peter Ehlers Yes. But perhaps it might

Re: [R] Post-hoc tests in MASS using glm.nb

... Bill Venables. -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Bert Gunter Sent: Wednesday, 18 May 2011 12:08 AM To: Peter Ehlers Cc: R list Subject: Re: [R] Post-hoc tests in MASS using glm.nb Folks: Only if the user hasn't yet

Re: [R] Post-hoc tests in MASS using glm.nb

on the individual functions. Bill Venables. -Original Message- From: Venables, Bill (CMIS, Dutton Park) Sent: Wednesday, 18 May 2011 9:07 AM To: 'Bert Gunter'; 'Peter Ehlers' Cc: 'R list' Subject: RE: [R] Post-hoc tests in MASS using glm.nb Amen to all of that, Bert. Nicely put

[R] Post-hoc tests in MASS using glm.nb

I am struggling to generate p values for comparisons of levels (post-hoc tests) in a glm with a negative binomial distribution I am trying to compare cell counts on different days as grown on different media (e.g. types of cryogel) so I have 2 explanatory variables (Day and Cryogel), which are

Re: [R] Post-hoc tests in MASS using glm.nb

Of bryony Sent: Tuesday, 17 May 2011 3:46 AM To: r-help@r-project.org Subject: [R] Post-hoc tests in MASS using glm.nb I am struggling to generate p values for comparisons of levels (post-hoc tests) in a glm with a negative binomial distribution I am trying to compare cell counts on different days

[R] post-hoc test (glht?) which takes treatment into account not just explanatory variable overall

Hi R helpers! I have used a glht as a post-hoc test on an lmer with: -2 treatments (A B) -1 categorical explanatory variable (song type) -1 response variable (latency to respond) I wanted to make comparisons between the categorical variables depending on treatment. At the moment the glht

Re: [R] post-hoc test (glht?) which takes treatment into account not just explanatory variable overall

David: 1. Sounds like you want to test the **interaction** of song type and treatment. 2. Does glht work ( S3 vs S4 class issues) with lmer fits? 3. If it works, does glht give sensible results? (see Doug Bates's discussions on this issue). 4. Probably best to direct all such questions to the

[R] post-hoc comparisons in GAMs (mgcv) with parametric terms

Dear list, I´m wondering if there is something analogous to the TukeyHSD function that could be used for parametric terms in a GAM. I´m using the mgcv package to fit models that have some continuous predictors (modeled as smooth terms) and a single categorical predictor. I would like to do post

[R] Post hoc analysis for ANOVA with repeated measures

Dear all, how can I perform a post hoc analysis for ANOVA with repeated measures (in presence of a balanced design)? I am not able to find a good example over internet in R...is there among you someone so kind to give me an hint with a R example please? For example, the aov result of my

Re: [R] Post hoc analysis for ANOVA with repeated measures

My suggestion is that you take the weekend lull in readership to now read the Posting Guide which it appears you nave not yet done. Had you done so you should have encountered the advice about how to successfully attach data files. (None came through.) You would also have read the request

Re: [R] Post hoc analysis for ANOVA with repeated measures

Please read the maiz example in HH install.packages(HH) library(HH) ?MMC Read all the way to the end of the maiz example. On Sun, Jan 9, 2011 at 7:10 AM, Frodo Jedi frodo.j...@yahoo.com wrote: Dear all, how can I perform a post hoc analysis for ANOVA with repeated measures (in presence of a

[R] post-hoc test for ANCOVA method

Dear [R] Users, I have implemented a linear model with this syntax: model- lm (var_dependent ~ var_indipendent + factor + var_indipendent : factor, dataframe) anova (model) Response: var_dependent Df Sum Sq Mean Sq F value Pr(F)

[R] Post positive reviews

Google’s Huge Change and How it affects you. •Anyone can now post bad reviews and kill your rank. •We post good reviews and improve your rank. •We post good reviews to keep others from killing your rank. Google: Judge, Jury and Online Shopping Executioner Google rank is based on

[R] Post-processing of approximated irregular time series

Hi all, Issue: I merged two zoo objects (a regular and an irregular). After the merge I used the function 'na.approx' to have also values in the resolution of the regular time series. Problem: After approximation some rows at the beginning or at the end of the zoo objects disappear due to the

Re: [R] Post-processing of approximated irregular time series

On Mon, Nov 1, 2010 at 11:14 AM, Salim Alexander (salimale) salim...@students.zhaw.ch wrote: Hi all, Issue: I merged two zoo objects (a regular and an irregular). After the merge I used the function 'na.approx' to have also values in the resolution of the regular time series. Problem:

[R] Post-processing of approximated irregular time series

Hi all, Issue: I merged two zoo objects (a regular and an irregular). After the merge I used the function 'na.approx' to have also values in the resolution of the regular time series. Problem: After approximation some rows at the beginning or at the end of the zoo objects disappear due to

Re: [R] post

See if rowttests is any faster. library(genefilter) ?rowttests You have to install Bioconductor. I've used this on large datasets, but I haven't compared timings. On Mon, Sep 13, 2010 at 4:26 PM, Alexey Ush usha...@yahoo.com wrote: Hello, I have a question regarding how to speed up the

[R] post

Hello, I have a question regarding how to speed up the t.test on large dataset. For example, I have a table tab which looks like: a b c d e f g h 1 2 3 4 5 ... 10 dim(tab) is 10 x 100 I need to do the t.test for each row

Re: [R] post

Have a look at: Computing Thousands of Test Statistics Simultaneously in R by Holger Schwender and Tina Müller, in http://stat-computing.org/newsletter/issues/scgn-18-1.pdf Hadley On Mon, Sep 13, 2010 at 4:26 PM, Alexey Ush usha...@yahoo.com wrote: Hello, I have a question regarding how to

Re: [R] post hoc test for lme using glht ?

Thanks, that seems to have cleared it up. (I did cut and paste from the console - I didn't think most of what I tried was very going to be very helpful and didn't want to drown people in spurious info. Sorry for the mistakes) -- View this message in context:

[R] post hoc test for lme using glht ?

Hi, I have a fairly simple repeated measures-type data set I've been attempting to analyze using the lme function in the nlme package. Repeated searches here and other places lead me to believe I have specified my model correctly. However, I am having trouble with post-hoc tests. From what

Re: [R] post hoc test for lme using glht ?

On Jul 21, 2010, at 6:36 PM, SNAFU1 wrote: Hi, I have a fairly simple repeated measures-type data set I've been attempting to analyze using the lme function in the nlme package. Repeated searches here and other places lead me to believe I have specified my model correctly. However, I

[R] Post-hoc tests for repeated measures in balanced experimental design

Hi, I am performing experiments in the field of visual perception where we often apply balanced designs. Within a group of normal subjects, we vary different stimulus conditions (like contrast, luminance, temporal frequency of stimulation) and derive some psychophysical or

Re: [R] Post-hoc tests for repeated measures in balanced experimental design

Dear Dennis, thank you for your fast response. Perhaps I should have described the experimental situation in more detail. This tells you that Subject is being treated as a random block factor, and that Conditions 1 and 2 are combinations of treatments applied to each subject. In other

Re: [R] post-hoc t-tests, for lme / lmer models

no one? any pointers would really be greatly appreciated! thanks, kay - Kay Cichini Postgraduate student Institute of Botany Univ. of Innsbruck -- View this message in context:

[R] post-hoc t-tests, for lme / lmer models

hello, i searched archives for post-hocs on mixed models and wondered why the method which intuitively came up to me as first, namely reordering the levels of the fixed factors and to examine the t-statistics (my model contains only categorical factors, one with 2 and one with 4 levels), does

Re: [R] Post-Hoc tests for Friedman Test?

Hello David, I wanted to thank you for pointing to this code for performing posthoc friedman test. I just used this example to create a function to perform this test (and also added some illustrative flexible plots to the mix), here:

[R] post-hoc after ancova

I have done ancova with categorical and continuous predictor variables. The categorical predictor variable shows significant effect on the dependent variable. I would like to do a post-hoc test to see which groups in the categorical variable differ. I have explored Tukey test in multcomp package.

[R] post

Dear all, I have the following problem which I cannot solve: data - numeric (100) for (i in 1:100){ p - runif(1,min=0,max=1) data[i] - rnorm(1,mean=2,sd=1) } ke - density(data,bw=sj,n=61) How can I now find the value of this density function for example ke(0), ke(2) etc. Maybe this is an

Re: [R] post

Anastasia wrote: Dear all, I have the following problem which I cannot solve: data - numeric (100) for (i in 1:100){ p - runif(1,min=0,max=1) data[i] - rnorm(1,mean=2,sd=1) } Er what is p doing in there. As far as I can see, you might as well do data - rnorm(200, 2, 1) ke -

[R] post-hoc test with kruskal.test()

Dear R users, I would like to know if there is a way in R to execute a post-hoc test (factor levels comparison, like Tukey for ANOVA) of a non-parametric analysis of variance with kruskal.test() function. I am comparing three different groups. The preliminary analysis using the

Re: [R] post-hoc test with kruskal.test()

Sent: Mittwoch, 14. Oktober 2009 09:17 To: r-help@r-project.org Subject: [R] post-hoc test with kruskal.test() Dear R users, I would like to know if there is a way in R to execute a post-hoc test (factor levels comparison, like Tukey for ANOVA) of a non-parametric analysis of variance

Re: [R] post-hoc test with kruskal.test()

There is a post hoc test along the lines of the Kruskal-Wallis test. It is implemented on the help page of oneway_test from package coin. The authors of the package, Hothorn, Hornik, van de Wiel, and Zeileis, cite Hollander and Wolfe (1999) for details and say it is called the

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