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...s to avoid the for loop? My second question is, is R the right choice for such simulations? It would be great when R can also give me a confidence interval(?) and also try to fit a curve through the result and give me the rule of correspondence(?) [4]. Do you have pointers for those? I glanced at simFrame [5] and read `?simulate` but could not understand it right away and think that this might be overkill. Do you have any suggestions? Thanks, Paul ? AMD Athlon(tm) X2 Dual Core Processor BE-2350, 2,1 GHz [1] http://www-stat.stanford.edu/~amir/preprints/irw.ps [2] http://arxiv.org/abs/0911.54...

...pROC (1.3.1), qpcR (1.3-1), qpcR (1.3-0), qtl (1.18-7), qualityTools (1.01), R.utils (1.5.0), r4ss (1.10), rAverage (0.3-3), rbounds (0.5), RcmdrPlugin.HH (1.1-26), robCompositions (1.4.3), RPMG (2.0-0), RSEIS (2.4-4), rTOFsPRO (1.2), Runiversal (1.0.1), rwm (1.52), sdcMicro (2.6.5), sem (0.9-21), simFrame (0.3.2), simFrame (0.3.3), simFrame (0.3.1), spdep (0.5-19), spikeslab (1.1.1), TGUICore (0.9.12), TGUITeaching (0.9.12), tm (0.5-4), traitr (0.10), TraMineR (1.6-1), TSAgg (0.2-0), vegan (1.17-4), VIM (1.4.1), wq (0.2-5) This email provided as a service for the R community by http://crantastic...

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...8), sapa (1.0-3), scaleboot (0.3-3), sciplot (1.0-7), scout (1.0.2), scrime (1.2.0), sdcTable (0.0.12), SDMTools (1.1), seacarb (2.3.4), seas (0.3-9), seewave (1.5.8), segclust (0.76), segmented (0.2-7.1), SEL (1.0-2), sem (0.9-20), sendplot (3.8.6), seqinr (2.0-9), seriation (1.0-2), sets (1.0-6), simFrame (0.2), simone (1.0-0), simPopulation (0.1.2), SIS (0.5), SiZer (0.1-2), skmeans (0.1-5), slam (0.1-13), sm (2.2-4.1), smacof (1.0-1), smoothSurv (0.7), sn (0.4-15), sna (2.1-0), snowfall (1.84), snowFT (1.2-0), som (0.3-5), someKfwer (1.1), sos (1.3-0), sp (0.9-65), spam (0.22-0), sparcl (1.0.1),...