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tests/testthat/test-fit.R

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test_that("fit_power_law() works", {
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# g <- sample_pa(100) # increase this number to have a better estimate
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# d <- degree(g, mode = "in")
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d <- c(
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9, 3, 8, 1, 10, 4, 8, 0, 4, 4, 5, 2, 2, 7, 2, 0, 0, 0, 1, 0, 5, 0, 1, 2, 0, 0,
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1, 3, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0,
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0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0,
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0
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)
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expected <- list(
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continuous = FALSE,
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alpha = 1.9113310272735056,
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xmin = 1,
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logLik = -65.06453615610745,
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KS.stat = 0.07720553650317852
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)
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fit <- fit_power_law(d)
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expect_equal(fit, expected)
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set.seed(20241017)
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expected_p <- 0.2308
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fit <- fit_power_law(d, p.value = TRUE)
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expect_equal(fit[names(fit) != "KS.p"], expected)
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expect_equal(fit$KS.p, expected_p)
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})

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