Displaying 3 results from an estimated 3 matches for "mhb1".
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mh1
2010 Oct 13
1
(no subject)
...<- 5
taus <- c(0.480:0.520)
h <- c(1:20/1000)
alpha1 <- c(1:82)
aeven1 <- alpha[2 * 1:41]
aodd1 <- alpha[-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, nr...
2010 Oct 13
4
loop
...8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50,52,54,56,58,60,62,64,66,68,70,72,74,76,78,80,82)
cevenl <- c(2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40)
#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, nr...
2010 Oct 15
0
nomianl response model
...,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50,52,
54,56,58,60,62,64,66,68,70,72,74,76,78,80,82)
cevenl <- c(2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40)
#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, nr...