Revision dcb4f797e6ae1bf8a905a4fc94520ddbafe18f2a authored by Doug and Martin on 17 March 2011, 00:00:00 UTC, committed by Gabor Csardi on 17 March 2011, 00:00:00 UTC
1 parent 37b1923
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other-pkgs.R
####--------- Test interfaces to other non-standard Packages ---------------

library(Matrix)

source(system.file("test-tools.R", package = "Matrix"))# identical3() etc

MatrixRversion <- pkgRversion("Matrix")

###-- 1)  'graph' (from Bioconductor) ---------------------------
###-- ==  =======                     ---------------------------
if(isTRUE(try(require(graph)))) { # may be there and fail (with R-devel)

    if(packageDescription("graph")$Version <= "1.10.2") {
        ## graph 1.10.x for x <= 2 had too many problems  as(<graph>, "matrix")
        cat("Version of 'graph' is too old --- no tests done here!\n")

    } else if(pkgRversion("graph") != MatrixRversion) {

        cat(sprintf("The R version (%s) of 'graph' installation differs from the Matrix one (%s)\n",
                    pkgRversion("graph"), MatrixRversion))

    } else { ## do things

    pdf("other-pkg-graph.pdf")

    ## 1) undirected

    V <- LETTERS[1:4]
    edL <- vector("list", length=4)
    names(edL) <- V
    ## 1a) unweighted
    for(i in 1:4)
        edL[[i]] <- list(edges = 5-i)
    gR <- new("graphNEL", nodes=V, edgeL=edL)
    str(edges(gR))
    sm.g <- as(gR, "sparseMatrix")
    str(sm.g) ## dgC: TODO: want 'ds.' (symmetric)
    validObject(sm.g)
    sm.g ## (incl colnames !)

    ## 1b) weighted
    set.seed(123)
    for(i in 1:4)
        edL[[i]] <- list(edges = 5-i, weights=runif(1))
    gRw <- new("graphNEL", nodes=V, edgeL=edL)
    str(edgeWeights(gRw))
    sm.gw <- as(gRw, "sparseMatrix")
    str(sm.gw) ## *numeric* dgCMatrix
    validObject(sm.gw)
    sm.gw ## U[0,1] numbers in anti-diagonal

    ## 2) directed
    gU <- gR; edgemode(gU) <- "directed"
    sgU <- as(gU, "sparseMatrix")
    str(sgU) ## 'dgC'
    validObject(sgU)
    sgU

    ## Reverse :  sparseMatrix -> graph
    sm.g[1,2] <- 1
    gmg  <-  as(sm.g, "graph")
    validObject(gmg2 <-  as(sm.g, "graphNEL"))
    gmgw <-  as(sm.gw, "graph")
    validObject(gmgw2 <- as(sm.gw, "graphNEL"))
    gmgU <-  as(sgU, "graph")
    validObject(gmgU2 <- as(sgU, "graphNEL"))
    stopifnot(identical(gmg, gmg2),
              identical(gmgw, gmgw2),
              identical(gmgU, gmgU2))

    data(CAex)
    cc <- crossprod(CAex)
    ## work around bug in 'graph': diagonal must be empty:
    diag(cc) <- 0; cc <- drop0(cc)
    image(cc)
    gg <- as(cc, "graph")

    .r <- require# cheat checks - do *not* want it in DESCRIPTION:
    if(.r("Rgraphviz")) {
	plot(gg, "circo")
	detach("package:Rgraphviz", unload = TRUE)
    }
    stopifnot(all.equal(edgeMatrix(gg),
                        rbind(from = c(rep(1:24, each=2), 25:48),
                              to   = c(rbind(25:48,49:72), 49:72))))

    detach("package:graph", unload = TRUE)
    dev.off()
    } # {else}

} ## end{graph}

###-- 2)  'SparseM' ---------------------------------------------
###-- ==  ========  ---------------------------------------------

if(isTRUE(try(require(SparseM)))) { # may be there and fail

    if(pkgRversion("SparseM") != MatrixRversion) {

        cat(sprintf("The R version (%s) of 'SparseM' installation differs from the Matrix one (%s)\n",
                    pkgRversion("SparseM"), MatrixRversion))

    } else { ## do things

	set.seed(1)
	a <- round(rnorm(5*4), 2)
	a[abs(a) < 0.7] <- 0
	A <- matrix(a,5,4)
	print(M <- Matrix(A))
	stopifnot(
		  validObject(A.csr <- as.matrix.csr(A)),
		  validObject(At.csr <- as.matrix.csr(t(A))),
		  identical(At.csr, t(A.csr)),
		  identical(A, as.matrix(A.csr)),
		  identical(M, as(A.csr, "CsparseMatrix")),
		  identical(t(M), as(At.csr, "CsparseMatrix"))
		  )

	## More tests, notably for triplets
	A.coo <- as.matrix.coo(A)
	str(T  <- as(M, "TsparseMatrix")) # has 'j' sorted
	str(T. <- as(A.coo, "TsparseMatrix")) # has 'i' sorted

	T3 <- as(as(T, "matrix.coo"), "Matrix") # dgT
	M3 <- as(as(M, "matrix.csr"), "Matrix") # dgC
	M4 <- as(as(M, "matrix.csc"), "Matrix") # dgC
	M5 <- as(as(M, "matrix.coo"), "Matrix") # dgT
	uniqT <- Matrix:::uniqTsparse
	stopifnot(identical4(uniqT(T), uniqT(T.), uniqT(T3), uniqT(M5)),
		  identical3(M, M3, M4))

	if(FALSE) # detaching the package gives error ".GenericTable" not found
	    detach("package:SparseM")

    }

}## end{SparseM}
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