tests/testthat/test_multi_fraserSuzuki.R

In pmbrophy/SummitR: Provides a set of tools for peak fitting

context("multi_fraserSuzuki")

library(DescTools)
test_that("multi_fraserSuzuki returns correct data formats when used to generate probability density function", {
  xVec <- seq(from = 1, to = 100, by = 0.1)

  pdist <- multi_fraserSuzuki(x = xVec, mus = c(40, 60, 70), sigmas = c(1, 2, 4), as = c(-1.5, 1, 1.5), probDensity = TRUE, returnComponentPks = FALSE)
  pdist_components <- multi_fraserSuzuki(x = xVec, mus = c(40, 60, 70), sigmas = c(1, 2, 4), as = c(-1.5, 1, 1.5), probDensity = TRUE, returnComponentPks = TRUE)
  area <- AUC(x = xVec, y = pdist, from = 1, to = 100)

  expect_vector(pdist)
  expect_true(is.data.frame(pdist_components))
  expect_equal(length(xVec), length(pdist))
  expect_equal(area, 1)
  expect_true(all(pdist == pdist_components$peak_sum))
})

test_that("multi_fraserSuzuki returns correct data formats when used to generate gaussian peaks", {
  xVec <- seq(from = 1, to = 100, by = 0.1)

  expect_error(multi_fraserSuzuki(x = xVec, mus = c(40, 60, 70), sigmas = c(1, 2, 4), probDensity = FALSE, returnComponentPks = FALSE))
  expect_error(multi_fraserSuzuki(x = xVec, mus = c(40, 60, 70), sigmas = c(1, 2, 4), probDensity = FALSE, returnComponentPks = TRUE))

  gpeak <- multi_fraserSuzuki(x = xVec, mus = c(40, 60, 70), sigmas = c(1, 2, 4), probDensity = FALSE, returnComponentPks = FALSE, ks = c(1, 5, 10))
  gpeak_components <- multi_fraserSuzuki(x = xVec, mus = c(40, 60, 70), sigmas = c(1, 2, 4), probDensity = FALSE, returnComponentPks = TRUE, ks = c(1, 5, 10))

  expect_vector(gpeak)
  expect_true(is.data.frame(gpeak_components))
  expect_equal(length(xVec), length(gpeak))
  expect_true(all(gpeak == gpeak_components$peak_sum))
})