large_matrix {spam} | R Documentation

## Large 64-bit matrices require the R package spam64

### Description

The R package spam can handle sparse matrices with up to 2^31-1 non-zero elements. For matrices with more non-zero elements it is necessary to load the spam64 package in addition.

### Details

With the help of the R package dotCall64 spam interfaces either the compiled code with 32-bit integers provided in spam or the compiled code with 64-bit integers provided in spam64.

### Author(s)

Reinhard Furrer, Florian Gerber, Kaspar Moesinger, Daniel Gerber

### References

F. Gerber, K. Moesinger, R. Furrer (2017), Extending R packages to support 64-bit compiled code: An illustration with spam64 and GIMMS NDVI3g data, Computer & Geoscience 104, 109-119, https://doi.org/10.1016/j.cageo.2016.11.015.

### See Also

`spam64-package`, `dotCall64`.

### Examples

    ## Not run:
    ## the following matrices are very large, and hence,
    ## require much memory and cpu time.
    library("spam64")
    s1 <- spam(1, ncol=2^30)        # 32-bit matrix
    s1

    s2 <- cbind(s1, s1)             # 64-bit matrix
    s2

    s3 <- spam(1, ncol=2^31)        # 64-bit matrix
    s3

    ## End(Not run)

[Package spam version 2.2-2 Index]