Nothing
library(DescriptiveRepresentationCalculator)
library(testthat)
# Example data from README
body_chars <- c("A","B","A","A","A","A","A","A","A")
pop_shares <- c("A" = 0.8, "B" = 0.2)
body_n <- length(body_chars)
# ExpectedRepresentation -------------------------------------------------------
test_that("ExpectedRepresentation matches theoretical value", {
expect_equal(
ExpectedRepresentation(PopShares = pop_shares, BodyN = body_n),
0.8926258176,
tolerance = 1e-6
)
})
# ObservedRepresentation -------------------------------------------------------
test_that("ObservedRepresentation matches manual calculation", {
expect_equal(
ObservedRepresentation(BodyMemberCharacteristics = body_chars,
PopShares = pop_shares),
0.9111111111,
tolerance = 1e-6
)
})
# SDRepresentation -------------------------------------------------------------
test_that("SDRepresentation is close to theoretical value", {
set.seed(123)
sd_val <- SDRepresentation(PopShares = pop_shares,
BodyN = body_n,
nMonte = 10000)
expect_equal(sd_val, 0.07904785, tolerance = 0.005)
})
# RelativeRepresentation ------------------------------------------------------
test_that("RelativeRepresentation returns difference", {
expect_equal(
RelativeRepresentation(body_chars, pop_shares),
0.01848529,
tolerance = 1e-6
)
})
test_that("RelativeRepresentation standardized is reasonable", {
set.seed(123)
val <- RelativeRepresentation(body_chars, pop_shares,
standardize = TRUE,
nMonte = 10000)
expect_equal(val, 0.2338494, tolerance = 0.05)
})
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