################################################################################
context("COUNTS")
opt.save <- options(bigmemory.typecast.warning = FALSE,
bigmemory.default.shared = FALSE)
# constructing a fake genotype big.matrix
a <- big.matrix(10, 8, type = "char")
a[] <- c(NA, 1, 0, 1, 0, 2, NA, NA, NA, NA,
1, 1, 0, 2, 1, 2, 1, NA, NA, 1,
NA, NA, 0, 2, NA, NA, NA, 2, 1, 2,
0, 1, 1, 2, 1, NA, 2, 2, 1, 2,
0, 1, NA, NA, 0, NA, 2, 2, 2, NA,
2, 2, 1, 1, 1, 0, 2, 0, NA, 2,
0, NA, 2, 1, 1, 1, 0, 2, 2, 2,
0, 2, 2, NA, 0, 2, 1, 1, 0, NA)
res <- matrix(0, 6, 8)
res[] <- c(2, 2, 0, 0, 0, 1,
1, 3, 1, 0, 2, 1,
1, 0, 1, 0, 1, 2,
1, 3, 1, 0, 1, 3,
2, 1, 0, 0, 0, 3,
0, 3, 2, 2, 0, 2,
1, 2, 1, 1, 1, 3,
2, 0, 2, 1, 2, 1)
res2 <- c(2, 2, 1, 2, 1, 3, 2, 2, 3, 3)
################################################################################
# constructing a fake incomplete bigSNP with 10 individuals and 15 SNPs
# where the 5 first individuals are cases and the 5 last are controls.
fake <- list()
class(fake) <- "bigSNP"
fake$genotypes <- a
fake$fam$affection <- c(rep(1, 5), rep(-1, 5))
################################################################################
# Get counts
test <- snp_counts(fake)
test_that("Same results as by hand", {
expect_equal(test$cols.cases, res[1:3, ])
expect_equal(test$cols.controls, res[4:6, ])
expect_equal(test$rows, res2)
})
################################################################################
# Get counts without phenos
test2 <- snp_counts(fake, has.pheno = FALSE)
test$cols <- test$cols.controls + test$cols.cases
test_that("Same results as by hand with pheno = FALSE", {
expect_equal(test$cols, test2$cols)
expect_equal(test2$rows, res2)
})
################################################################################
options(opt.save)
################################################################################
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