Dear all,
I have just sent an email with my problem, but I think no one can see the red
part, beacuse it is black. So, i am writing again the codes:
rm(list=ls()) #remove almost everything in the memory
set.seed(180185)
nsim <- 10
mresultx <- matrix(-99, nrow=1000, ncol=nsim)
mresultb <- matrix(-99, nrow=1000, ncol=nsim)
N <- 200
I <- 5
taus <- c(0.480:0.520)
h <- c(1:20/1000)
alpha1 <- c(1:82)
aeven1 <- alpha1[2 * 1:41]
aodd1 <- alpha1[-2 * 1:41]
alpha2 <- c(1:40)
aeven2 <- alpha2[2 * 1:20]
#Create an object to hold results.
M <- matrix(0, ncol=82, nrow=nsim)
Mhb0 <- matrix(0, ncol=20, nrow=nsim)
Mhb1 <- matrix(0, ncol=20, nrow=nsim)
Mchb0 <- matrix(0, ncol=20, nrow=nsim)
Mchb1 <- matrix(0, ncol=20, nrow=nsim)
for (i in 1:nsim){
# make a matrix with 5 cols of N random uniform values
u <- replicate( 5, runif(N, 0, 1) )
# fit matrix u in another matrix of 1 column
mu <- matrix(u, nrow=1000, ncol=1)
# make auction-specific covariate
x <- runif(N, 0, 1)
mx <- matrix(rep(x,5), nrow=1000, ncol=1)
b0 <- matrix(rep(c(1),1000), nrow=1000, ncol=1)
#function for private cost
cost <- b0+b0*mx+mu
#bidding strategy
bid <- mx+((I+1)/I)+((I-1)/I)*mu
mresultb[,i] <- bid
mresultx[,i] <- mx
qf <- rq(formula = mresultb[,i] ~ mresultx[,i], tau= 480:520/1000)
# Storing result and does not overwrite prior values
M[i, ] <- coef(qf)
QI <- (1-0.5)/(I-1)
M50b0 <- M[,41]
M50b1 <- M[,42]
Mb0 <- matrix(M[,aodd1], nrow=nsim, ncol=20)
Mb1 <- matrix(M[,aeven1], nrow=nsim, ncol=20)
for (t in aeven2){
Mhb0[,t] <- M[,(41+t)]-M[,(41-t)]
Mhb1[,t] <- M[,(42+t)]-M[,(42-t)]
}
}
The problem is in the part:
for (t in aeven2){
Mhb0[,t] <- M[,(41+t)]-M[,(41-t)]
Mhb1[,t] <- M[,(42+t)]-M[,(42-t)]
}
Since I want the software to subtract from column (41+t) of matrix called M the
column (41-t), in such a way that the matrix Mhb0 will show me the result for
each t organized by columns.
Does anybody know what exactly I am doing wrong?
Thanks in advance!
Julia
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