context("Plotting features matrix as ggheatmap")
library(ggplot2)
library(reshape2)
test_that("Matrix has 4 rows", {
testPwmMat <- matrix(rnorm(100), nrow = 2)
testPositionLabels <- seq(25)
expect_error(
viz_pwm(testPwmMat, method = "heatmap", pos_lab = testPositionLabels),
paste0("Expecting a matrix with 4 rows corresponding to DNA chars ",
"'A', 'C', 'G', 'T'")
)
})
test_that("Given object is matrix", {
testPwmMat <- rnorm(200) # err
testPositionLabels <- seq(25)
expect_error(
viz_pwm(testPwmMat, method = "heatmap", pos_lab = testPositionLabels),
"Expecting a matrix with 4 rows"
)
})
test_that("Handling empty matrix", {
testPwmMat <- matrix()
testPositionLabels <- seq(25)
expect_error(
viz_pwm(testPwmMat, method = "heatmap", pos_lab = testPositionLabels),
"Empty"
)
})
test_that("Position labels inadequate", {
testPwmMat <- matrix(rnorm(100), nrow = 4)
testPositionLabels <- seq(20)
expect_error(
viz_pwm(testPwmMat, method = "heatmap", pos_lab = testPositionLabels),
"Inadequate"
)
})
test_that("Position labels over-abundant", {
testPwmMat <- matrix(rnorm(100), nrow = 4)
testPositionLabels <- seq(50)
expect_error(
viz_pwm(testPwmMat, method = "heatmap", pos_lab = testPositionLabels),
"Overabundant"
)
})
test_that("ggheatmap plotting works", {
# setting seed enables proper comparison between ggplot objects since we use
# rnorm
set.seed(11223344)
# test variables
testPositionLabels <- seq(5)
testPwmMat <- matrix(rnorm(20), nrow = 4)
p1 <- viz_pwm(testPwmMat, method = "heatmap", pos_lab = testPositionLabels)
# test plot
vdiffr::expect_doppelganger("ggheatmap plot example", p1)
})
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.