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Searched refs:Nsim (Results 1 – 11 of 11) sorted by relevance

/dports/science/R-cran-Epi/Epi/inst/doc/
H A DsimLexis.R218 Nsim <- 5000 globalVar
222 N = Nsim ) )
240 N = Nsim ) )
266 N = Nsim ) )
/dports/science/R-cran-Epi/Epi/vignettes/
H A DsimLexis.R218 Nsim <- 5000 globalVar
222 N = Nsim ) )
240 N = Nsim ) )
266 N = Nsim ) )
H A DsimLexis.rnw571 Nsim <- 5000
575 N = Nsim ) )
578 the simulated follow-up of \Sexpr{2*Nsim} persons (\Sexpr{Nsim}
579 identical men and \Sexpr{Nsim} identical women) according to the rates
605 N = Nsim ) )
649 N = Nsim ) )
H A DsL.tex829 > Nsim <- 5000
833 + N = Nsim ) )
890 + N = Nsim ) )
973 + N = Nsim ) )
H A DsimLexis.tex829 > Nsim <- 5000
833 + N = Nsim ) )
890 + N = Nsim ) )
973 + N = Nsim ) )
/dports/biology/emboss/EMBOSS-6.6.0/nucleus/
H A Dembcom.c54 ajint Nsim, ajint Nwin, ajint Nword);
493 ajint Nsim, ajint Nwin, ajint Nword) in comCalcMedValue() argument
508 for(i=0;i<Nsim;i++) in comCalcMedValue()
513 MedUj[j].Ujwin[k] = sum[k]/(float)(Nsim); in comCalcMedValue()
521 for(i=0;i<Nsim;i++) in comCalcMedValue()
528 var[k] = var[k]/(float)(Nsim); in comCalcMedValue()
/dports/math/R-cran-spdep/spdep/inst/doc/
H A DCO69.R209 Nsim <- function(d, mle) { function
218 boot(x, statistic=MoranI.boot, R=nsim, sim="parametric", ran.gen=Nsim,
H A DCO69.Rmd472 Nsim <- function(d, mle) {
481 boot(x, statistic=MoranI.boot, R=nsim, sim="parametric", ran.gen=Nsim,
491 [`i`]{}, and a function [`Nsim`]{} to generate random samples from the
/dports/science/mcstas-comps/mcstas-comps-2.5-src/contrib/
H A DISIS_moderator.comp59 OUTPUT PARAMETERS (p_in,Tnpts,scaleSize,angleArea,Nsim,Ncount,TS,rtE0,rtE1,rtmodX,rtmodY,TargetStat…
822 double Nsim; /* Total number of neutrons to be simulated */
862 Nsim=(double)mcget_ncount();
1114 p=w_focus*Ival*CurrentWeight/Nsim;
H A DViewModISIS.comp133 double Nsim; /* Total number of neutrons to be simulated */
1048 Nsim=mcget_ncount(); // Number of points requested.
1116 p=beamcurrent*angleArea*Ival/Nsim;
/dports/math/R-cran-spdep/spdep/vignettes/
H A DCO69.Rmd472 Nsim <- function(d, mle) {
481 boot(x, statistic=MoranI.boot, R=nsim, sim="parametric", ran.gen=Nsim,
491 [`i`]{}, and a function [`Nsim`]{} to generate random samples from the