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#### COMPONENT espace: Do analysis in environmental space.
#### MODULE: Principal component analysis
context("espace_pca")
##Function has no warning or error messages.
##To run this function a model must be created first allowing for access to
##environmental data for occs and background
###Using bioclim for testing
###SET PARAMETERS (running model)
sp.name1 <- "Bassaricyon_alleni"
sp.name2 <- "Bassaricyon_neblina"
envs <- envs_userEnvs(rasPath = list.files(system.file("extdata/wc",
package = "wallace"),
pattern = ".tif$", full.names = TRUE),
rasName = list.files(system.file("extdata/wc",
package = "wallace"),
pattern = ".tif$", full.names = FALSE))
occs.z1 <- read.csv(system.file("extdata/Bassaricyon_alleni.csv",
package = "wallace"))
occs.z2 <- read.csv(system.file("extdata/Bassaricyon_neblina.csv",
package = "wallace"))
bgPts.z1 <- read.csv(system.file("extdata/Bassaricyon_alleni_bgPoints.csv",
package = "wallace"))
bgPts.z2 <- read.csv(system.file("extdata/Bassaricyon_neblina_bgPoints.csv",
package = "wallace"))
occsExt.z1 <- raster::extract(envs, occs.z1[, c("longitude", "latitude")])
occsExt.z2 <- raster::extract(envs, occs.z2[, c("longitude", "latitude")])
bgExt.z1 <- raster::extract(envs, bgPts.z1[, c("longitude", "latitude")])
bgExt.z2 <- raster::extract(envs, bgPts.z2[, c("longitude", "latitude")])
###Generate pca for further analyses
Testpca <- espace_pca(sp.name1, sp.name2, occsExt.z1, occsExt.z2,
bgExt.z1, bgExt.z2)
test_that("output checks", {
#output is a list
expect_equal(mode(Testpca),"list")
#list is of objects of typoe "pca" and "dudi"
expect_is(Testpca,"pca")
expect_is(Testpca,"dudi")
#list has 14 objects
expect_equal(length(Testpca),14)
#objects in list are as expected
expect_equal(c('tab', 'cw','lw', 'eig', 'rank', 'nf', 'c1', 'li', 'co', 'l1',
'call', 'cent', 'norm', 'scores'), names(Testpca))
})
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