Re: [R] structural equation models in R

Hi Thanoon, Not sure how we can help when you ask such a vague, broad question. But in any case, I would recommend using the package "lavaan" in R. Look it up: http://lavaan.ugent.be/ Patrick 2014-04-06 6:26 GMT-06:00 thanoon younis : > hi > i need your help to know how can i analysis structural

Re: [R] Multilevel Modelling

Have you tried running it using lmer() in lme4 instead, see if that helps? Patrick 2014-03-27 6:21 GMT-06:00 Laura Thomas : > Hi All, > > I am using R for the purpose of multilevel modelling for the first time. I am > trying to examine individuals interpersonal changes in the dependent variable

Re: [R] Problems using lmer {lme4}

Hi Andrea, I'm not exactly sure what you're trying to do, but you've included a random effect for a "site" coefficient that's not even in your list of fixed effects... you're basically allowing the coefficient for site to vary across routes, but you're never including the coefficient in the first

Re: [R] How can I extract part of the data with a selection criterion?

Hi, Try ab[a==3,] You're selecting only rows for which a==3 (before the comma), and all columns (empty condition for column index, after the comma) Patrick 2013/5/9 jpm miao : > Hi, > >As an example, how can I get the data such that field a of ab, ab["a"], > equals 3? I expect the answer to

Re: [R] Regarding Modeling - Please! QUICK HELP

Hi Andrew, I don't know the dataset at all (and you seem to assume that your readers will), but anyway: it looks like you're trying to do an intercept-only model. If that's the case, try: > logmod11 <- lmer(log(Reaction) ~ 1 + (1|Subject),REML=FALSE) 1 is the intercept, and anything in parenthes

Re: [R] Assigning a variable value based on multiple columns

Hi Jason, I think that the easiest for you would be to keep your current elseif statements as is, but change your NA into something else (e.g., -999, or anything else). To do this in one line, you can use the package "gdata". In this code, I assume that your data are stored in the variable "datas

Re: [R] creating dummy variables

Hello Shyam, if your data is stored in variable "dataset", for example, the following code will create the desired dummy-coded variables and attach them to the dataset: ## #init vars SWHE=BARL <- vector(length=nrow(dataset)) SWHE[]=BARL[] <- 0 #initialize dummy-coded vars wi