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...dom numbers then. And if it's implemented as in L'Ecuyer, then one probably wants to adjust the vignette to reflect this. Other minor suggestions to improve the vignette (if that's what's also done in R; I couldn't easily figure that out from ./src/main/RNG.c): 1) when defining u_n, I would write u_n = z_n / (2^32-208) [as it is immediately clear then that one divides by the modulus of the first linear congruential generator + 1] 2) The case z_n=0 is not provided (for a reason?). If z_n=0, L'Ecuyer suggests to set u_n to "(2^32-209)/(2^32-208)". Cheers, Marius...

...get following error message Error in optim(par = c(4.5, 0.16), fn = function (p) : function cannot be evaluated at initial parameters Can someone tell me what I'm doing wrong? I used estimate starting values which were predicted with the nls function RogersI_N <- nls(FR~attackR2_N+u_N*N0,start=list(attackR2_N=1,u_N=4),control=list(maxiter=10000)) For some other models, I do the exact same thing and it works well, so I don't understand why this one doesn't work........................ Kind regards, Met vriendelijke groeten, Joachim Don't waste paper! Think about t...

...it's implemented as in L'Ecuyer, then one probably wants > to adjust the vignette to reflect this. > > Other minor suggestions to improve the vignette (if that's what's also > done in R; I couldn't easily figure that out from ./src/main/RNG.c): > 1) when defining u_n, I would write u_n = z_n / (2^32-208) [as it is > immediately clear then that one divides by the modulus of the first > linear congruential generator + 1] > 2) The case z_n=0 is not provided (for a reason?). If z_n=0, L'Ecuyer > suggests to set u_n to "(2^32-209)/(2^32-208)&quo...

The compositional data xi=(x_i1,x_i2,...,x_in), for each fixed i , xij>0, and sum(xij)=1; I want to compare the mean( u_i) of several groups i.e. H0: u_1=u_2=...=u_N or H0: u_11=u_21=...=u_N1 Are there any ANOVA tpye tools to do this work in R? Thanks, WEN S Q [[alternative HTML version deleted]]

The compositional data xi=(x_i1, x_i2,..., x_in), for each fixed i , xij>0, and sum(xij)=1; I want to compare the mean( u_i) of several groups i.e. H0: u_1=u_2=...=u_N or Hj0: u_1j=u_2j=...=u_Nj Are there any ANOVA tpye tools to do this work in R? Thanks, WEN S Q [[alternative HTML version deleted]]