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..._list)) #make a dict of all AB's and assign status green as deafault for status list_AB_remarks <- setNames(as.list(rep("Geen opmerkingen", length(AB_list))), names(AB_list)) #make a dict of all AB's and assign "Geen" as default for remarks #Try empty list list_AB_dosering <- setNames(as.list(rep("Geen informatie", length(AB_list))), names(AB_list)) # make named list of all AB's and assign "Geen informatie", will be replaced with actual information in algorithm list_AB_duur <- setNames(as.list(rep("Geen informatie", length(AB...

OK - I've been doing some work on getting a forest plot or two together for a sub-group analaysis. Thats the crucial thing - because its a sub-group analysis rather than a meta-analsysis and all the forest (meta) and forestplot (rmeta) instructions assume you are doing a meta-analysis. I found rmeta didn't play nicely for me so I'm using the meta package with forest. Here's some

Dear Rxperts, Running the following code: ======================================================= twlo=10; twhi=20; wt=154; vd=0.5; cl=0.046; tau=6; t=3; F=1; wtkg <- wt/2.2 # convert lbs to kg vd.pt <- wtkg * vd # compute weight-based vd (L) cl.pt <- wtkg * cl # compute CL (L/hr) k <- cl.pt/vd.pt # compute k (hr^-1) cave <-

Dear Colleagues, Our group is also working on implementing the use of R for pharmacokinetic compartmental analysis. Perhaps I have missed something, but > fit <- nls(noisy ~ lsoda(xstart, time, one.compartment.model, c(K1=0.5, k2=0.5)), + data=C1.lsoda, + start=list(K1=0.3, k2=0.7), + trace=T + ) Error in eval(as.name(varName), data) : Object