test_that("nbclustDS errors", {
# Creating differing test data.frames - preparation
col1 <- c(16,10,14,2,4,2,1,3,-6,9)
col2 <- c(3,29,23,15,-8,10,14,2,4,2)
col3 <- c(-1,17,49,39,14,29,23,15,-8,-9)
col4 <- c(1,1,1,0,1,0,0,0,1,1)
test_df1 <- data.frame(col1, col2, col3, col4)
# Creating results of nbclustDS to compare to
nmbr_clust1 <- nbclustDS(df.name = "test_df1", diss = NULL, distance = "euclidean", min.nc = 2, max.nc = 5, method = "ward.D2", index = "all", alphaBeale = 0.1, seed = 123)
res_expect1 <- c(1,2,2,2,1,2,2,1,1,1)
# Actual Test Start
expect_equal(nmbr_clust1[[4]], res_expect1)
})
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