[R] Vectorize a series of Matrix Multiplications

Can I have some help in vectorizing a series of matrix multiplications? Toy Example mat_size=2; num_matrices=3; num_users=2 ToyArray=array(1,dim=c(mat_size,   mat_size, num_matrices, num_users)) /* So I open an 4-dim array to store 3  2 X 2 matrrices  for 2 users.  For each user I want to multip

[R] Matrix Mulitplication: A*B*C*D...?

Is there a R package or function that will multiple an arbitrary number of matrices supplied to it, preferably optimizing the sequence R_function(matA, matB, matC,  matD,)    return matA %*%  matB %*%  matC %matD %    and optimizing wether it is better to do A(BC) or (AB)C ? Thanks, Shi

Re: [R] nls and rbinom function: step factor 0.000488281 reduced below 'minFactor' of 0.000976562

nction: step factor 0.000488281 reduced below 'minFactor' of 0.000976562 On Jan 3, 2012, at 05:25 , G Vishwanath wrote: > I  am trying to learn nls using a simple simulation. I assumed that the > binomial prob varies linearly as 0.2 + 0.3*x in  x {0,1}, > and the objective is to

[R] nls and rbinom function: step factor 0.000488281 reduced below 'minFactor' of 0.000976562

I  am trying to learn nls using a simple simulation. I assumed that the binomial prob varies linearly as 0.2 + 0.3*x in  x {0,1}, and the objective is to recover the known parameters a=0.2, b=0.3 ..data frame d has 1000 rows... d$x<-runif(0,1)               d$y<-rbinom(1000,1,0.2+0.3*d$x)  tab