context("Testing dccm functions") test_that("Correlation matrix from NMA", { ## Calculate correl mat on a small protein file <- system.file("examples/1hel.pdb",package="bio3d") invisible(capture.output(pdb <- read.pdb(file))) invisible(capture.output(modes <- nma(pdb))) invisible(capture.output(cm <- dccm.nma(modes, ncore=1))) expect_that(cm[1,1], equals(1, tolerance=1e-6)) expect_that(cm[1,2], equals(0.4380029, tolerance=1e-6)) expect_that(cm[1,3], equals(0.1407395, tolerance=1e-6)) expect_that(cm[1,3], equals(cm[3,1])) expect_that(sum(cm), equals(57.71768, tolerance=1e-6)) ## Check multicore DCCM invisible(capture.output(cm.mc <- dccm.nma(modes, ncore=NULL))) expect_that(cm, equals(cm.mc, tolerance=1e-6)) } ) test_that("Correlation matrix from XYZ (dccm.xyz)", { skip_on_cran() ## Calculate correl mat on a short HIV protease simulation trjfile <- system.file("examples/hivp.dcd", package="bio3d") invisible(capture.output(trj <- read.dcd(trjfile))) invisible(capture.output(cm <- dccm(trj, ncore=1))) expect_that(cm[1,1], equals(1, tolerance=1e-6)) expect_that(cm[1,2], equals(0.997, tolerance=1e-3)) expect_that(cm[1,3], equals(0.992, tolerance=1e-3)) expect_that(cm[1,3], equals(cm[3,1])) ## Check multicore DCCM skip_on_travis() invisible(capture.output(cm.mc <- dccm(trj, ncore=NULL))) expect_that(cm, equals(cm.mc, tolerance=1e-6)) }) test_that("Correlation matrix from PCA (dccm.pca)", { skip_on_cran() ## Calculate correl mat on a short HIV protease simulation trjfile <- system.file("examples/hivp.dcd", package="bio3d") invisible(capture.output(trj <- read.dcd(trjfile))) invisible(capture.output(xyz <- fit.xyz(trj[1, ], trj[1:20, ], 1:ncol(trj), 1:ncol(trj)) )) invisible(capture.output(pca <- pca.xyz(xyz))) invisible(capture.output(cm <- dccm(pca, ncore = 1))) pca$z <- NULL invisible(capture.output(cm2 <- dccm(pca, ncore = 1))) expect_that(cm[1,1], equals(1, tolerance=1e-6)) expect_that(cm[1,2], equals(0.627, tolerance=1e-3)) expect_that(cm[1,3], equals(0.632, tolerance=1e-3)) expect_that(cm[1,3], equals(cm[3,1])) expect_that(cm, equals(cm2, tolerance=1e-6)) ## Check multicore DCCM skip_on_travis() invisible(capture.output(cm.mc <- dccm(pca, ncore=NULL))) expect_that(cm, equals(cm.mc, tolerance=1e-6)) })