Hello,
You create a 3d array X and then index it as if it were 1d.
Correction:
TS <- EuStockMarkets
[...etc...]
for (t in T[1:(length(T)-n)]){
X[ , , t] <- cor(TS[t:(t+n), 1:ncol(TS)], use = "pairwise.complete.obs")
}
# Calculate correlation matrices
Also, 't' and 'T' are not good names, the first is R's matrix transpose
function and the second one is another name for TRUE.
Hope this helps,
Rui Barradas
Em 31-08-2012 17:24, Max Frisch escreveu:
Hello everyone,
a hopefully easy to solve problem from an R novice...
I try to calculate a number of correlation matrices that finally should be
combined in a three-dimensional array.
Here the my code with an R dataset as an example.
-----------------------------------
## Creation an array of correlation matrices from a rolling window application
TS <- EuStockMarkets
# Load internal dataset
n <- 30
# Choose size of rolling time window
T <- c(1:nrow(TS))
# Define number of steps
X <- array(data = NA, dim = c(ncol(TS), ncol(TS), nrow(TS)))
# Create data array
for (t in T[1:(length(T)-n)]){
X[t] = cor(TS[t:(t+n), 1:ncol(TS)], use = "pairwise.complete.obs")
}
# Calculate correlation matrices
---------------------------------
Unfortunately, I only get a warning that the dimensions do not fit... Where is
the mistake?
THANKS A LOT!
Nico
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