Dear All, Hello!
I have some questoins in R programming as follows:
Question 1- How to take the integral of this function with respect to y, such
that x would appear in the output after taking integral.
f(x,y)=(0.1766*exp(-exp(y+lnx))*-exp(y+lnx))/(1-exp(-exp(y+lnx))) y in
(-6.907,-1.246)
It is doable in maple but not in R. At least I could not find the way.
p.s: result from maple is:
g(x)=dilog*exp(0.001000755564*x)+0.5*ln(exp(0.001000755564*x))^2-dilog*(exp(0.2876531111*x))-0.5*ln(exp(0.2876531111*x))^2
Where dilog=integral(log(t)/(1-t)) for t in (1,x)
Question 2- Then I want to optimize (maximize) the answer of the above integral
for x. Assum x in (0,100)
The answer should be something between 26 and 27.
What I did is: got answer of integral(f(x,y)) from maple which is g(x), and
then applied it in R. The code is as follows:
##In the case n=1
library(stats)
require(graphics)
integrand=function(t){(log(t))/(1-t)}
#dilog=integrate(integrand, lower=1, upper=x)
fr <- function(x){(integrate(integrand, lower=1,
upper=x)$value)*(exp(0.001000755564*x))+0.5*log(exp(0.001000755564*x))^2-(integrate(integrand,
lower=1, upper=x)$value)*(exp(0.2876531111*x))-0.5*log(exp(0.2876531111*x))^2}
optim(20, fr, NULL, method = "BFGS")
Question 2-1-Default by optim is to minimize a function, how I can use it to
maximization?
Question 2-2- The above code faced with errors, and did not work. What I guess
is there is something wrong with taking integral. The output of integrate
function in R is some sort of thing. I had to somehow tell it, just take the
value and forget about the others. But I guess it is still something wrong with
it. I also tried maxNR, but is didn't work either.
Question 2-3- Thoes above are the easiest case of my problem. Assume the case
that I have summation of f(x1,y)+f(x2,y)+...+f(x12,y)
The article have done it by E04JAF-NAG Fortran Library Routine Document. But I
want to do it in R.
Thanx all.
Cheers,
Maryam
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