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Hi All, I have recently created an Rcmdr plugin package and it passed all the checks and was uploaded to CRAN. I then downloaded it from CRAN and tried running it from my local R program and received this error...

Hi, I am wanting to simulate data where a percentage of the data has multiple duplicated id variables (with unique values of another factor variable for the dupicated id variables). Im having trouble figuring out an efficent way to do...

Hi All, I am interested in aggregating a data frame based on 2 categories--mean effect size (r) for each 'id's' 'mod1'. The 'with' function works well when aggregating on one category (e.g., based on 'id' below) but...

Hi All, I am interested in creating a function that will take x number of lm objects and automate the comparison of each model (using anova). Here is a simple example (the actual function will involve more than what Im...

You just need to specify in the arguments whether it's sei or vi, eg, # vi res <- rma(measure="SMD", yi, vi=vi, data=re, method="FE", digits=2) #sei res <- rma(measure="SMD", yi, sei=sei, data=re, method...

Perfect! Thank you, Dimitris. AC On Mon, Feb 15, 2010 at 1:45 PM, Dimitris Rizopoulos <d.rizopoulos at erasmusmc.nl> wrote: > try this: > > MRfit <- function (...) { > ? ?models <- list(...) >> ? ?do.call(anova, models) >> } >> >> >> I hope it helps. >> >> Best, >> Dimitris >> >> >> AC Del...

Hi Emily, Technically, yes, you have accounted for dependent effect sizes (ES) and could use this aggregate ES in further analyses. However, I think it depends on the actual outcomes and if it makes sense to aggregate. For example, 3...

Perfect! Thanks Jim. Do you know how I could then reduce the data even further? Specifically, reducing it to 1 id per row? In this dataset, id 1 would have one row eliminated. Assume the data is much larger and...

OK, this is great, Jim. Last question: How about if I want the 1 copy of each id to be selected randomly versus taking the first one? Thank you, AC > On Sat, Feb 20, 2010 at 8:37 PM, jim...