Nothing
# Test per thematicMap e thematicEvolution
# Queste funzioni richiedono dataset grandi per generare cluster significativi
test_that("thematicMap funziona con dataset bibliometrixData", {
skip_on_cran()
skip_if_not_installed("bibliometrixData")
data(scientometrics, package = "bibliometrixData")
scientometrics$PY <- as.numeric(scientometrics$PY)
scientometrics$TC <- as.numeric(scientometrics$TC)
res <- expect_no_error(
suppressWarnings(suppressMessages(
thematicMap(scientometrics, field = "ID", n = 50, minfreq = 5,
stemming = FALSE, size = 0.5, repel = TRUE)
))
)
expect_type(res, "list")
expect_true(all(c("map", "clusters", "words", "nclust") %in% names(res)))
expect_true(res$nclust > 0)
})
test_that("thematicEvolution funziona con cut temporali", {
skip_on_cran()
skip_if_not_installed("bibliometrixData")
data(scientometrics, package = "bibliometrixData")
scientometrics$PY <- as.numeric(scientometrics$PY)
scientometrics$TC <- as.numeric(scientometrics$TC)
years <- range(scientometrics$PY, na.rm = TRUE)
mid_year <- floor(mean(years))
nexus <- expect_no_error(
suppressWarnings(suppressMessages(
thematicEvolution(scientometrics, field = "ID", years = mid_year,
n = 50, minFreq = 2)
))
)
expect_type(nexus, "list")
expect_true("Nodes" %in% names(nexus))
expect_true("Edges" %in% names(nexus))
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.