I am developing a new R package and am now checking it for submission to
CRAN.
The some functions in the package make use of the sparse matrix routines
in the package 'Matrix'.
When these are loaded in R, they create no problems.
However, when running R CMD check, I run into the following error in
executing the examples in a .rd file:
> DD = Matrix(diag(1,200),sparse=TRUE)
> tDD = t(DD)
>
> fres = FitMatchOpt(coefs=coefs,which=2,pars=pars,proc)
Error in t.default(DD) : argument is not a matrix
Calls: FitMatchOpt -> t -> t.default
Execution halted
The first two lines of the function FitMatchOpt are
DD = Matrix(diag(1,200),sparse=TRUE)
tDD = t(DD)
These were fine when given in the examples section of the .rd file
directly. However, when defined within a function in the package, the
lines cause an error.
Sparse matrices improve the computational efficiency of the routines I
am developing and I would like to use them. But I'm not sure how I can
get around this error.
Many thanks,
Giles Hooker