# [Rd] inline C/C++ in R: question and suggestion

From: Oleg Sklyar <osklyar_at_ebi.ac.uk>
Date: Tue, 22 May 2007 18:59:00 +0100

Example: I work on images (Bioconductor:EBImage) and just came to a point where I need to apply certain functions to image data, which are grey scale intensities in the range [0,1]. Assume I want to transform my image data from I(x,y,i) to exp(-(d/s)^2)*I(x,y,i), where I is the original intensity in dependence on coordinates x,y and frame i; s is a given value and d^2=(x-centre.x)^2+(y-centre.y)^2 for a given centre. Trying an R loop will run forever already on moderate image sizes as I do not see how to vectorize it.

Now, below is the solution using the "inline" C code, completely in R and runs instantly. I created a small package "inline" that simply encapsulates a quite simple function "cfunction". The package source is available from http://www.ebi.ac.uk/~osklyar/inline -- please give it a try and I would be happy to hear your comments, both on already existing implementations for "inline" calls and on the current one. It is a draft and I will be happy to improve it (especially comments on how to ensure that the shared object is unloaded when the function is removed). In the example below EBImage is not required, I use randomly generated values instead of images, but the output it quite obvious. After installing "inline" the example should just work by copy-pasting.

Oleg

code <- character(17)

```code[1] <- "  SEXP res;"
code[2] <- "  int nprotect = 0, nx, ny, nz, x, y;"
code[3] <- "  PROTECT(res = Rf_duplicate(a)); nprotect++;"
code[4] <- "  nx = INTEGER(GET_DIM(a))[0];"
code[5] <- "  ny = INTEGER(GET_DIM(a))[1];"
code[6] <- "  nz = INTEGER(GET_DIM(a))[2];"
code[7] <- "  double sigma2 = REAL(s)[0] * REAL(s)[0], d2 ;"
code[8] <- "  double cx = REAL(centre)[0], cy = REAL(centre)[1], *data,
```
*rdata;"
code[9] <- " for (int im = 0; im < nz; im++) {" code[10] <- " data = &(REAL(a)[im*nx*ny]); rdata = &(REAL(res)[im*nx*ny]);"
```code[11] <- "    for (x = 0; x < nx; x++)"
code[12] <- "       for (y = 0; y < ny; y++) {"
code[13] <- "         d2 = (x-cx)*(x-cx) + (y-cy)*(y-cy);"
code[14] <- "         rdata[x + y*nx] = data[x + y*nx] * exp(-d2/sigma2);"
code[15] <- "  }}"
code[16] <- "  UNPROTECT(nprotect);"
code[17] <- "  return res;"

```

library(inline)

funx <- cfunction(signature(a="array", s="numeric", centre="numeric"), code)

x <- array(runif(50*50), c(50,50,1))

res <- funx(a=x, s=15, centre=c(30,35))
image(res[,,1])
res <- funx(x, 10, c(15,15))
x11(); image(res[,,1])

```--
Dr Oleg Sklyar * EBI/EMBL, Cambridge CB10 1SD, England * +44-1223-494466

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Received on Tue 22 May 2007 - 18:00:50 GMT

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