I am trying to save the data from a loop of logical tests.
So I have the following data:
T1 <- matrix(seq(from=100000, to=6600000,length.out=676),26,26) # a matrix of 26X26 - here with illustrive values
minmax <- seq(from=1,to=49,by=1) # creates a sequence
Fstep <- 6569141.82/minmax # define a vector from 0 to 6569141.82 with 49 divisions
F <- rev(round(Fstep,0)) # round the vector values and re order them
F
I have runned the following loop
for (i in 1:49) {
print(T1 > F[i]) # I used print to see the results in the screen
}
This loop returns me 49 matrices filled in with logical values (True or false). Each matrix is the comparison of T1 against each of the 49 positions F[i] (F[1], ...., F[49])
I need to have the values in those matrices for further using as adjacency matrices for network plots. However when I can't neither assign those logical values to an matrix, neither save them in csv values using "write.matrix".
So, I need to have 49 - matrices "W" filled in with logical values (T or F). I already got those values by the loop above but I can't get it as an object or as collection of csv. files.
I tried
W<-matrix(0,26,26) #create an empty matrix to assign the logical arguments
for (i in 1:49){
W[i] <- T1>F[i] # I used print to see the results in the screen
}
which returns the following warning
Warning messages:
1: In W[i] <- (T1 > F[i]) :
number of items to replace is not a multiple of replacement length
I also tried a different setting in which all the matrices I compare have the same dimensions.
create.M <- function(F){ # a function to transform each position F[i] into a 26X26 matrix
for (i in 1:49) {
matrix(F[i],26,26)
}
}
Loop.T1 <- function(T1){ # a function to replicate T1(49 times)
for ( i in 1:49) {
T1
}
}
and compared the two outputs
Loop.T1(T1)>create.M(F)
which returns
logical(0)
Another way to do what joran suggests is to use the apply family of functions.
result2 <- lapply(F, function(f) {T1 > f})
This gives the same thing as joran's result
, a list where each element corresponds to one of the values of F
and that element is a 26x26 logical matrix.
Another alternative is to store the results as a three dimensional logical matrix (49*26*26) where each slice corresponds to one of the values of F
.
result3 <- sapply(F, function(f) {T1 > f}, simplify="array")
the structure of which is
> str(result3)
logi [1:26, 1:26, 1:49] FALSE FALSE FALSE FALSE TRUE TRUE ...
Store each boolean matrix as an item in a list:
result <- vector("list",49)
for (i in 1:49)
{
result[[i]] <- T1>F[i] # I used print to see the results in the screen
}
#Print the first matrix on screen
result[[1]]
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