similar to: Type I and Type III SS in anova

I am running a two-way anova with Type III sums of squares and would like to be able to understand what the different SS mean when I use different contrasts, e.g. treatment contrasts vs helmert contrasts. I have read John Fox's "An R and S-Plus Companion to Applied Regression" approach -p. 140- suggesting that treatment contrasts do not usually result in meaningful results with Type

I am running a binomial glm with response variable the no of mites of two species y->cbind(mitea,miteb) against two continuous variables (temperature and predatory mites) - see below. My model shows overdispersion as the residual deviance is 48.81 on 5 degrees of freedom. If I use quasibinomial to account for overdispersion the dispersion parameter estimate is 2501139, which seems

I am running an lme model with the main effects of four fixed variables (3 continuous and one categorical – see below) and one random variable. The data describe the densities of a mite species – awsm – in relation to four variables: adh31 (temperature related), apsm (another plant feeding mite) awpm (a predatory mite), and orien (sampling location within plant – north or south). I have read

I am analyzing a dataset on the effects of six pesticides on population growth rate of a predatory mite. The response variable is the population growth rate of the mite (ranges from negative to positive) and the exploratory variable is a categorical variable (treatment). The experiment was blocked in time (3 blocks / replicates per block) and it is unbalanced - at least 1 replicate per block. I am

Full_Name: Menelaos Stavrinides Version: 1.3. 1 OS: Windows 98 Submission from: (NULL) (193.129.76.90) When model simplification is used in glm (binomial errors) and anova is used two compare two competitive models one can use either an "F" or a "Chi" test. R always performs an F test (Although when test="Chi" the test is labeled as Chi, there isn't any

I am analyzing a dataset on the effects of six pesticides on population growth rate of a predatory mite. The response variable is the population growth rate of the mite expressed as ln(Nfinal/Nstarting) of the mite, where N final the population of the mite at the end of the experiment and N starting the population of the mite at the beginning of the experiment. Each of the six treatments was ran

_______________________________________________________________________________________ Hi, When I create multiple graphs subsequent graphs overwrite previous graphs. How do I keep all my graphs in the current workspace (but not all on the same page) so I can scroll through them? thanks, Rohini Rohini Mulford Senior Research Analyst Technical Research Research &

Hi everybody! To use some functions, I have to transform my dataset into a list, where each element contains one group, and I have to prepare a list for each variable I have (altogether I have 15 variables, and many entries per factor level) Here is some part of my dataset: SPECSHOR BONE Asfc Smc epLsar cotau tx 454.390369 29.261638 0.001136 cotau tx 117.445711

Hi. I was looking for help on how to use Tukey multiple comparison on Type III SS because I read on Quick R that it is using Type I SS by default. I am wondering if the use of glht helps. Thanks for help. Vera

Dear all: I m a newer on R.? I have some problem when I use?anova function.? I use anova function to get Type I SS results, but I also need to get Type III SS results.? However, in my code, there is some different between the result of Type I SS and Type III SS.? I don?t know why the ?seqe? factor disappeared in the result of Type III SS.? How can I do?? Here is my example and result.

Hi. Someone currently reported a ''ss == NULL'' panic in space_map.c/space_map_add() on FreeBSD''s version of ZFS. I found that this problem was previously reported on Solaris and is already fixed. I verified it and FreeBSD''s version have this fix in place...

I've got an array of times in H:MM:SS PM/AM format, e.g. "5:27:15 PM" (no leading zero), and I would like to convert them over to 24 HR syntax, e.g. HH:MM:SS. If it matters, the times are from the Central Time zone. Is there a command to convert the time to a 24HR format? I tried the following: ptime("5:27:15 PM", "%H:%M:%S") [1] "2009-11-04

I am trying to run an ANOVA on my soil respiration data, but I keep getting residual sum of squares and mean square of zero. As I understand it that would mean that the model terms explain all of the variation in the response variable. That should be virtually impossible, should it not? Where do I begin troubleshooting such a problem? -- View this message in context:

plugin/switcher.c:1290: if (ss->grabIndex || (ss->zooming && ss->translate > 0.001f)) that line you have added 2006-06-06 and this made my compiz extremely slow. I am changing it back to `if (ss->grabIndex || ss->zooming)' after every cvs update and it makes compiz working propely. FreeBSD 6.1, ATI Mobility Radeon M7 LW [Mobility Raden 7500], driver "radeon"

Sound works i get 130 fps alls good except for the microphone. Pulseaudio is killed and everything else is done as suppose to. Im using a usb headset and when I checked the win alsa driver i saw for the wave in the there was AD198x Analog and usb Audio. So i though that AD198X Analog could be the problem here is there anyway i can remove it? My mixer device is HDA intel. I'm running ubuntu

Hello everyone, My name is Matteo and i'm new in this list! I've used NUT for several years with no problems, but now one of my UPS has been replaced during a technical intervention with a new model "Inform Sinus SS 230". Obviously I already saw on the official NUT website that the model is not supported, but I was wondering if there are some compatible drivers or maybe someone

Sorry if this is a duplicated message. On Tue, 12 Jul 2016, Barbieri, Matteo wrote: > ... a new model "Inform Sinus SS 230". Obviously I already saw on the > official NUT website that the model is not supported, but I was wondering if > there are some compatible drivers or maybe someone who are currently working > on that model... Hi, Since the Inform Sinus SS 210 is

Hi ALL, I am trying to compute adjusted SS & estimated component variance in GLM with un-balanced data using R. Can anyone advise me? Thanks in advance. Best Regards, WeiQiang Li [[alternative HTML version deleted]]

Hello, I use lme4 package. library(lme4) fit=lmer(y ~ time+dye+trt+trt:time + (1|rep), data=dataset, na.action='na.omit') anova(fit) The anova gives sequential F-tests and sequential SS. My question is: how I can get partial F-tests and partial SS? For lm (not lmer) anova(lm(y~x+z)) we can use anova(fit, ssType=3) but it is not work for lmer. Natalia.

Hi In mixed-model with lme() How can I obtain Type II SS or Type III SS for fixed effect? Thanks Julien