context("Testing plotClustering")
test_that("For given pam_fit, plotClustering returns correct tsne coordinates",
{
set.seed(1987)
n = 350
clust_dat <-
data.frame(personId = 1:n,
networkPref = sample(c("topic", "jobtitle", "orgtype"),
size = n, replace = TRUE),
Age = sample(23:65, size = n, replace = TRUE),
familyImp = sample(c(1, 2, 3, 4, 5), size = n, replace = TRUE,
prob = c(0.01, 0.02, 0.4, 0.10, 0.83)),
howOld = sample(1:100, size = n, replace = TRUE),
horror = sample(c("Yes", "No"), size = n, replace = TRUE,
prob = c(0.27, 0.73)),
sailBoat = sample(c("Yes", "No"), size = n, replace = TRUE,
prob = c(0.58, 0.42)))
clust_dat$familyImp <- factor(clust_dat$familyImp,
levels = c("1", "2", "3", "4", "5"),
ordered = TRUE)
b <- computeGowerDiss(clust_dat, id = "personId")
d <- buildPamModel(dissimilarities = b$gower_diss, k = 9)
e <- plotClustering(df = clust_dat, gowerDiss = b$gower_diss, id = "personId",
pam_fit = d)
expect_equal(e$tsneDat[18, 1], 15.70941057, tolerance = 0.0000001)
expect_equal(e$tsneDat[21, 2], 3.83755595, tolerance = 0.0000001)
})
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