Masi - 3 months ago 23

R Question

I have four complete signals in the following datastructure. I would like to split each signal to 360 blocks or close to it.

Current data structure

`[1:541650, 1:4]`

`[1:360, 1:4*1505]`

`1:4*1504`

`>>> 541650*4.0`

2166600.0

>>> 360*1505*4

2167200.0

Current data structure, current code and its contents in R

`m1 <- matrix(1:541650, ncol=4, nrow=541650); str(m1)`

#int [1:541650, 1:4] 1 2 3 4 5 6 7 8 9 10 ...

#case: num [1:541650, 1:4] -0.675 -0.67 -0.67 -0.65 -0.65 -0.6 -0.555 -0.535 -0.52 -0.515 ...

Test function to the current data structure:

`M.ecg.cor <- cor(M.ecg)`

Current output: 4x4 matrix

Code

`set.seed(24)`

A=541650

m1 <- matrix(1:A, ncol=4, nrow=A)

a=360; b=1505; c=4;

# http://stackoverflow.com/a/40430229/54964

m2 <- array(`length<-`(m1, a*b*c), dim = c(a,b,c))

res <- apply(m2, 3, FUN = function(x) list(cor(x)))

identical(res[[1]][[1]], cor(m2[,,1]))

#[1] TRUE

res2 <- lapply(seq(dim(m2)[3]), function(i) cor(m2[,,i]))

str(res2)

Output

`[1] TRUE`

List of 4

$ : num [1:1505, 1:1505] 1 1 1 1 1 1 1 1 1 1 ...

$ : num [1:1505, 1:1505] 1 1 1 1 1 1 1 1 1 1 ...

$ : num [1:1505, 1:1505] 1 1 1 1 1 1 1 1 1 1 ...

$ : num [1:1505, 1:1505] 1 1 1 1 1 1 1 1 1 1 ...

# I think the tail with NAs may be sufficient.

Hmm, I am not sure about the dimensions if they are correct.

R: 3.3.1

OS: Debian 8.5

Answer

One option would be to convert to an `array`

, but `array`

can hold only fixed dimensions. So, if we fell short of number of elements, append some NAs at the end and then convert to a 3D array.

```
m2 <- array(`length<-`(m1, 30), dim = c(2,5,3))
```

and then `apply`

the function by specifying the `MARGIN`

as 3.

```
res <- apply(m2, 3, FUN = function(x) list(cor(x)))
identical(res[[1]][[1]], cor(m2[,,1]))
#[1] TRUE
```

Or another option is to loop through the third dimension using `lapply`

and apply the `cor`

```
res2 <- lapply(seq(dim(m2)[3]), function(i) cor(m2[,,i]))
```

```
set.seed(24)
m1 <- matrix(rnorm(45), ncol=5, nrow=9)
```