Re: [R] Speed up code with for() loop

On 29.04.2011 22:20, hck wrote: Barth sent me a very good code and I modified it a bit. Have a look: Error-rnorm(1000, mean=0, sd=0.05) estimate-(log(1+0.10)+Error) DCF_korrigiert-(1/(exp(1/(exp(0.5*(-estimate)^2/(0.05^2))*sqrt(2*pi/(0.05^2

Re: [R] Speed up code with for() loop

Barth sent me a very good code and I modified it a bit. Have a look: Error-rnorm(1000, mean=0, sd=0.05) estimate-(log(1+0.10)+Error) DCF_korrigiert-(1/(exp(1/(exp(0.5*(-estimate)^2/(0.05^2))*sqrt(2*pi/(0.05^2 ))*(1-pnorm(0,((-estimate)/(0.05^2)),sqrt(1/(0.05^2))-1))

[R] Speed up code with for() loop

Hallo everybody, I'm wondering whether it might be possible to speed up the following code: Error-rnorm(1000, mean=0, sd=0.05) estimate-(log(1.1)-Error) DCF_korrigiert-(1/(exp(1/(exp(0.5*(-estimate)^2/(0.05^2))*sqrt(2*pi/(0.05^2))*(1-pnorm(0,((-estimate)/(0.05^2)),sqrt(1/(0.05^2))-1))

Re: [R] Speed up code with for() loop

Hans, You could parallelize it with the multicore package. The only other thing I can think of is to use calls to .Internal(). But be vigilant, as this might not be good advice. ?.Internal warns that only true R wizards should even consider using the function. First, an example with