# === Tests for relatedness functions ===============================
## Preamble - load data ----
### Start logging info
startLogger()
### Load hapmap data
genoPathHMP <- system.file(
"extdata",
"mdp_genotype.hmp.txt",
package = "rTASSEL"
)
### Read data - need only non missing data!
phenoPathFast <- system.file(
"extdata",
"mdp_traits_nomissing.txt",
package = "rTASSEL"
)
### Create rTASSEL phenotype only object
tasPheno <- readPhenotypeFromPath(
path = phenoPathFast
)
### Create rTASSEL genotype only object
tasGeno <- readGenotypeTableFromPath(
path = genoPathHMP
)
### Create rTASSEL object - use prior TASSEL genotype object
tasGenoPheno <- readGenotypePhenotype(
genoPathOrObj = genoPathHMP,
phenoPathDFOrObj = phenoPathFast
)
## Error tests ----
### kinshipMatrix ----
test_that("kinshipMatrix() throws general exceptions.", {
expect_error(
object = kinshipMatrix(
tasObj = mtcars,
method = "Centered_IBS",
maxAlleles = 6,
algorithmVariation = "Observed_Allele_Freq"
),
regexp = "`tasObj` must be of class `TasselGenotypePhenotype`"
)
expect_error(
object = kinshipMatrix(
tasObj = tasPheno,
method = "Centered_IBS",
maxAlleles = 6,
algorithmVariation = "Observed_Allele_Freq"
),
regexp = "TASSEL genotype object not found"
)
})
### distanceMatrix ----
test_that("distanceMatrix() throws general exceptions.", {
expect_error(
object = distanceMatrix(
tasObj = mtcars
),
regexp = "`tasObj` must be of class `TasselGenotypePhenotype`"
)
expect_error(
object = distanceMatrix(
tasObj = tasPheno
),
regexp = "TASSEL genotype object not found"
)
})
## Return tests ----
### kinshipMatrix ----
test_that("kinshipMatrix() returns correct data.", {
tasKin <- kinshipMatrix(
tasObj = tasGenoPheno,
method = "Centered_IBS",
maxAlleles = 6,
algorithmVariation = "Observed_Allele_Freq"
)
expect_equal(
object = class(tasKin)[1],
expected = "TasselDistanceMatrix"
)
tasKinRMat <- as.matrix(tasKin)
expect_equal(
object = class(tasKinRMat),
expected = c("matrix", "array")
)
expect_equal(
object = dim(tasKinRMat),
expected = c(278, 278)
)
})
### distanceMatrix ----
test_that("distanceMatrix() returns correct data.", {
tasDist <- distanceMatrix(tasGenoPheno)
expect_equal(
object = class(tasDist)[1],
expected = "TasselDistanceMatrix"
)
tasDistRMat <- as.matrix(tasDist)
expect_equal(
object = class(tasDistRMat),
expected = c("matrix", "array")
)
expect_equal(
object = dim(tasDistRMat),
expected = c(278, 278)
)
})
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