similar to: Error occurring in "emmeans" package for the two data sets I used. Please help.

On 07/01/18 02:19, Akhilesh Singh wrote: > I am a Professor of Statistics at Indira Gandhi Krishi Vishwavidyalaya, > Raipur, India. While teaching in class about analysis of variance using R, > I was doing a one-way analysis for the two data-sets given below in the > R-class. I got a typical error in "emmeans" package, please help: > > Data-set-1: > --------------

Thanks for your kind reply. Problem is solved. However, it's "confidence interval / treatment comparison plot" is not taking main title. And the fonts of axes labels can not be changed using 'cex' parameter. I will appreciate if you could help in this matter too. Dr. A. K. Singh On 09-Jan-2018 8:18 PM, "Sal Mangiafico" <salvatore.s.mangiafico at gmail.com>

DeaR ComRades, This is a quote from a News article in Science's 11-February issue, about competitions to model data: "For Chris Raimondi, a search-engine expert based in Baltimore, Maryland, and winner of the HIV-treatment competition, the Kaggle contest motivated him to hone his skills in a newly learned computer language called R, which he used to encode the winning data model.

I have two questions I would appreciate assistance with: (1) I believe "by" is the command used to split a file. In the following example, "mydat" is the dataframe , "group" the variable I want to split the analysis by & "WK1FREQ,WK2FREQ" the variables attach(mydat) by (GROUP) cor.test (WK1FREQ,WK2FREQ) I have also tried: (by (GROUP) cor.test

DeaR ComRades, This is a quote from a News article in Science's 11-February issue, about competitions to model data: "For Chris Raimondi, a search-engine expert based in Baltimore, Maryland, and winner of the HIV-treatment competition, the Kaggle contest motivated him to hone his skills in a newly learned computer language called R, which he used to encode the winning data model.

First of all thank you for the responses. I appreciate the suggestions i have received thus far. Just to reiterate I am trying to analyze a data set that has been collected from a hierarchical sampling design. The model should be a mixed model nested ANOVA. The purpose of my study is to analyze the variability at each spatial scale in my design (random factors, variance components), and say

Hi there, Quick question about the output from the sem() function in the library of the same name. If I am getting probabilities >0.05 for some of my estimates of path coefficients, I'm assuming the interpretation here is that the coefficient is not significantly different from zero, correct? In that case, might it make sense that I should disregard path coefficients between

I'm trying to read some web tables directly into R. These are both genome sequencing projects (eukaryotes and metagenomes) from NCBI and look very similar; however, only the first one works. http://www.ncbi.nlm.nih.gov/genomes/leuks.cgi http://www.ncbi.nlm.nih.gov/genomes/lenvs.cgi I added ?dump=selected to the end of the url string to get a tab- delimited file (which is what happens

Hello everybody, In am trying to analyse a BACI experiment and I really want to do it with R (which I find really exciting). So, before moving on I though it would be a good idea to repeat some known experiments which are quite similar to my own. I tried to reproduce 2 published examples but without much success. The first one in particular is a published dataset analysed with SAS by

Dear R-Devel, I seem to no longer be able to access the bug-reporting system, so am doing this by e-mail. My report concerns models where variables are explicitly referenced (or is it "dereferenced"?), such as: cars.lm <- lm(mtcars[[1]] ~ factor(mtcars$cyl) + mtcars[["disp"]]) I have found that it is not possible to predict such models with new data. For example:

Greetings! I have one quick question: How do you do a Tukey test on an ANCOVA? Thanks for any tips! -Paul

Dear all, I am a new member to the list - and to the analysis that I am attempting. I have the following case A group of us have been monitoring (over a period of a few years) a number of paired plots that were flooded and / or burnt. The plots are located in two topographical settings, some were burnt, some were flooded, some were burnt & flooded and some were not affected at all. At

I read through the editorial. This is the one of the most mega-ultra-super-biased articles I've ever read. e.g. The authors encourage Baysian methods, and literally encourage subjective approaches. However, there's only one reference to robust methods and one reference to nonparametric methods, both of which are labelled as purely exploratory methods, which I regard as extremely

On Sat, 1 Jan 2000, Brian Fundakowski Feldman wrote: > http://www.FreeBSD.org/~green/openssh.SHA-1.patch > MD5 (public_html/openssh.SHA-1.patch) = e21a896f59474a31ab3b9103acf44c35 > > P.S.: I realize other people may have proposed something very similar. > Indeed, markus's proposal may be something like this. However, > since it's impossible to work with anyone who

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Hello, I have been trying to get an ANOVA table for a linear model containing a single nested factor, two fixed factors and a covariate: carbonmean<-lm(C.Mean~ Mean.richness + Diversity + Zoop + Diversity/Phyto + Zoop*Diversity/Phyto) where, *Mean.richness* is a covariate*, Zoop* is a categorical variable (the species), *Diversity* is a categorical variable (Low or High), and

In reading the documentation I havn't found anything that covers the use of winbindd when authenticating against one domain (lets call it 'A') while also allowing users from a domain trusted by A (lets call it 'B'). My linux box is a member server in domain A which is a new domain we are working on transitioning to. We are not renaming because 2k server doesn't have that

Hello, I have been trying to get an ANOVA table for a linear model containing a single nested factor, two fixed factors and a covariate: carbonmean<-lm(C.Mean~ Mean.richness + Diversity + Zoop + Diversity/Phyto + Zoop*Diversity/Phyto) where, Mean.richness is a covariate, Zoop is a categorical variable (the species), Diversity is a categorical variable (Low or High), and Phyto (community

flight 17325 linux-linus real [real] http://www.chiark.greenend.org.uk/~xensrcts/logs/17325/ Regressions :-( Tests which did not succeed and are blocking, including tests which could not be run: test-amd64-amd64-xl 9 guest-start fail REGR. vs. 12557 test-amd64-i386-xl-credit2 15 guest-stop fail REGR. vs. 12557 test-amd64-i386-xl 15 guest-stop

flight 17454 linux-linus real [real] http://www.chiark.greenend.org.uk/~xensrcts/logs/17454/ Regressions :-( Tests which did not succeed and are blocking, including tests which could not be run: test-amd64-i386-pair 17 guest-migrate/src_host/dst_host fail REGR. vs. 12557 Regressions which are regarded as allowable (not blocking): test-amd64-i386-qemut-rhel6hvm-amd 7 redhat-install fail