similar to: How to calculate Adjusted SS

Hi ALL I want to know how to calculate estimated Variance Components for unbalance ANOVA. Can anybody please provide me the formula? Thanks in advance! WeiQiang [[alternative HTML version deleted]]

Hello, I would like to know if R provides the similar function to produce the 4-in-1 graph ("Normal Plot of Residuals", "I Chart of Residuals", "Histogram of Residuals" & "Residuals vs Fits") as MiniTab. If do not have, could anyone please tell me how to produce above-mentioned individual chart? Your help is greatly appreciated.

Hi, RWeb web site is down past couple days, I am insterested in this project and want to try it for my projects. Deos anyone have this installation and user guide? Thanks! Best Regards, WeiQiang Li

Dear friends, I am trying to create a web application to produce some statistical result using R. In order to avoid high CPU usage of web server caused by R, I have to create an ASP.NET web service in another server to involve R. But I am facing the unauthorizedAccessException when I call the web service, even I have assigned access and launch permission to everyone using

Hello, I am a newbie in R project and trying to call prcomp(x) of R function using (D)COM server communicate with R in ASP, and encountering the error "Runtime error -2147221493(8004000b). Automation Error, Object is static, operation not allowed." Source code is shown as below: <% Set StatConn=Server.CreateObject("StatConnectorSrv.StatConnector")

Hi, I am facing the problem that I want to plot a histogram chart set freq to true and overlay with normal or weibull or exponential distribution curve. The sample code is shown as below: >samp<-c(-8.2262,-8.2262,-8.2262,-8.20209,-8.09294,-8.07321,-8.07321, -8.07321,-8.07175,-8.04948,-8.04948,-8.04948,-8.03848,-8.03848,

Hello, I am a newbie in R project and trying to call prcomp(x) of R function using (D)COM server communicate with R in ASP, and encountering the error "Runtime error -2147221493(8004000b). Automation Error, Object is static, operation not allowed." at line Result=StatConn.Evaluate("y<-prcomp(x)"). E ven I have added the line StatConn.EvaluateNoReturn("library

Dear friends, I am trying to produce Contour Plot with R, but there are some NA in my data matrix. After I ran the following R script, I got the error message:"no proper `z' matrix specified". Does anybody know how to plot contour chart with R for the non-strict matrix? Thank you in advance!!!

I thought the point of adjusting the R^2 for degrees of freedom is to allow comparisons about goodness of fit between similar models with different numbers of data points. Someone has suggested to me off-list that this might not be the case. Is an ADJUSTED R^2 for a four-parameter, five-point model reliably comparable to the adjusted R^2 of a four-parameter, 100-point model? If such values

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, this is not a new doubt, but is a doubt that I cant find a good response. Look this output: > m.lme <- lme(Yvar~Xvar,random=~1|Plot1/Plot2/Plot3) > anova(m.lme) numDF denDF F-value p-value (Intercept) 1 860 210.2457 <.0001 Xvar 1 2 1.2352 0.3821 > summary(m.lme) Linear mixed-effects model fit by REML Data: NULL AIC BIC

Hi, I have very simple balanced randomized block design where I total have 48 observations of a measure of weights of a product, the product was manufactured at 4 sites, so each site has 12 observations. I want to use lme() from nlme package to estimate the standard error of the product weight. So the data look like: MW site 1 54031 1 2 55286 1 3 54396 2 4 52327 2 5 55963

Hi I am performing an analysis of variance with two factors, each with two levels. I have differing numbers of observations in each of the four combinations, but all four combinations *are* present (2 of the factor combinations have 3 observations, 1 has 4 and 1 has 5) I have used both anova(aov(...)) and anova(lm(...)) in R and it gave the same result - as expected. I then plugged this into

R 2.8.1 Windows XP I am trying to analyze repeated measures data (the data are listed at the end of this Email message) and I need help to make sure that I have properly specified my model, and would like to know why lmer does not return a p value for Group, my fixed effect. My subjects are divided into two groups (variable GROUP), individual subjects are indicated by the variable SS, Value is

Hello, I am trying to find an R function to compute 'direct adjusted survival' with standard errors. A SAS-macro to do this is presented in Zhang X, Loberiza FR, Klein JP, Zhang MJ. A SAS macro for estimation of direct adjusted survival curves based on a stratified Cox regression model. Comput Methods Programs Biomed 2007;88:95-101. It appears that this method is not implemented in R.

Hello, I have been looking for functions for calculating the within-groups variance and between-groups variance, for the case where you have several numerical variables describing samples from a number of groups. I didn't find such functions in R, so wrote my own versions myself (see below). I can calculate the within- and between-groups variance for the Sepal.length variable (iris[1]) in

Hello R users I'm using MuMIn but for some reason I'm not getting the adjusted confidence interval and uncoditional SE whe I use model.avg(). I took into consideration the steps provided by Grueber et al (2011) Multimodel inference in ecology and evolution: challenges and solutions in JEB. I created a global model to see if malaria prevalence (binomial distribution) is related to any

Hi, I performed an experiment where I raised different families coming from two different source populations, where each family was split up into a different treatments. After the experiment I measured several traits on each individual. To test for an effect of either treatment or source as well as their interaction, I used a linear mixed effect model with family as random factor, i.e.

Hello, I’m trying to perform a REML analysis using the lmer() function (lme4 package). Well, it seems to work well, except that I’m not getting any p-value (see example below). Can someone tell me what I did wrong? Thanks for your help, Amélie > library(gdata) > dive <- read.xls("C:/Documents and Settings/Amelie/My Documents/Postdoc/CE 2005-2006/divebydive.xls",

Hi, I asked this on mixed model mailing list, but that list is not very active, so I'd like to try the general R mailing list. Sorry if anyone receives the double post. Hi, I have a dataset of animals receiving some eye treatments. There are 8 treatments, each animal's right and left eye was measured with some scores (ranging from 0 to 7) 4 times after treatment. So there are