Hi all,
I would like to run a function with several nested conditions, which are
completely factorial.
The input data (x1) has two different sample sizes, so:
x1 <- dat1
x1 <- dat2
Then a can have 3 different values:
a <- 0.15
a <- 0.35
a <- 0.50
Then b can have 2 different values:
b <- data.matrix (c(0.5,0.5,0.5))
b <- data.matrix (c(0.2,0.4,0.6))
Then d can have 5 different values:
d <- c (0.17,0.17,0.17)
d <- c (0.25,0.25,0.25)
d <- c (1,1,1)
d <- c (4,4,4)
d <- c (6,6,6)
In total that means that I have 60 conditions.
I think it would be very inefficient to specify every condition
separately.
So I would like to have a nested loop where every parameter is one
nesting.
But I don't know how to specify this exactly.
I started with the function in the loop below, where x1, a, b and d can
have multiple values and e, f, and g have only one value which is the
same of every condition:
e <- matrix(1, 3, 5, byrow = T)
f <- data.matrix(c(0.33,0.33,0.34))
g1 <- c(1, 2, 3, 4, 5)
g2 <- c(9, 8, 7, 6, 5)
g3 <- c(2, 4, 6, 8, 10)
g <- matrix(c(g1, g2, g3), 3,5, byrow = T)
n_it <- 60
for (j in 1:n_it){
output <- function(x1=x1, a=a, b=b, d=d, e=e, f=f, g=g)
}
Can anyone help me with this?
Thanks in advance,
Iris
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