Nothing
# Preparation -------------------------------------------------------------
library(beadplexr)
panel_info <- load_panel(.panel_name = "Human Growth Factor Panel (13-plex)")
# Perform test ------------------------------------------------------------
test_that("Conversion of list", {
.analytes <- list(A = list(
A1 = list(name = "name_a1", concentration = 500),
A2 = list(name = "name_a2", concentration = 50000)))
expect_s3_class(as_data_frame_analyte(.analytes), "data.frame")
expect_s3_class(as_data_frame_analyte(panel_info$analytes), "data.frame")
})
test_that("Matrix is padded", {
x <- matrix(c(1:9), nrow = 3, ncol = 3)
res_x <- beadplexr:::pad_matrix(x)
expect_equal(dim(res_x), dim(x) + 2)
expect_type(res_x, typeof(x))
x <- matrix(c(1:4), nrow = 2, ncol = 2)
res_x <- beadplexr:::pad_matrix(x)
expect_equal(dim(res_x), dim(x) + 2)
expect_type(res_x, typeof(x))
res_x <- beadplexr:::pad_matrix(x, pad_size = 2L)
expect_equal(dim(res_x), dim(x) + 4)
expect_type(res_x, typeof(x))
res_x <- beadplexr:::pad_matrix(x, pad = NA)
expect_equal(dim(res_x), dim(x) + 2)
expect_type(res_x, typeof(x))
res_x <- beadplexr:::pad_matrix(x, pad = "xx")
expect_equal(dim(res_x), dim(x) + 2)
expect_type(res_x, "character")
x <- matrix(c(1:6), nrow = 3, ncol = 2)
res_x <- beadplexr:::pad_matrix(x)
expect_equal(dim(res_x), dim(x) + 2)
expect_type(res_x, typeof(x))
})
test_that("Neighbours are counted", {
x <- matrix(
c(1L, 1L, 0L,
1L, 1L, 0L,
0L, 1L, 1L),
nrow = 3,
ncol = 3,
byrow = TRUE
)
expectation <- matrix(
c(3L, 3L, 0L,
4L, 5L, 0L,
0L, 3L, 2L),
nrow = 3,
ncol = 3,
byrow = TRUE
)
res_x <- beadplexr:::count_neighbours(x)
expect_equal(res_x, expectation)
expect_null(rownames(res_x))
expect_null(colnames(res_x))
mat_names <- list(c("r1", "r3", "r4"), c("c1", "c2", "c3"))
x <- matrix(
c(TRUE, TRUE, FALSE,
TRUE, TRUE, FALSE,
FALSE, TRUE, TRUE),
nrow = 3,
ncol = 3,
byrow = TRUE,
dimnames = mat_names
)
dimnames(expectation) <- mat_names
res_x <- beadplexr:::count_neighbours(x)
expect_equal(res_x, expectation)
expect_true(!is.null(rownames(res_x)))
expect_true(!is.null(colnames(res_x)))
x <- matrix(
c("1", "1", "0",
"1", "1", "0",
"0", "1", "1"),
nrow = 3,
ncol = 3,
byrow = TRUE
)
expect_error(beadplexr:::count_neighbours(x))
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.