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Felix Cheung authored
## What changes were proposed in this pull request? Move all existing tests to non-installed directory so that it will never run by installing SparkR package For a follow-up PR: - remove all skip_on_cran() calls in tests - clean up test timer - improve or change basic tests that do run on CRAN (if anyone has suggestion) It looks like `R CMD build pkg` will still put pkg\tests (ie. the full tests) into the source package but `R CMD INSTALL` on such source package does not install these tests (and so `R CMD check` does not run them) ## How was this patch tested? - [x] unit tests, Jenkins - [x] AppVeyor - [x] make a source package, install it, `R CMD check` it - verify the full tests are not installed or run Author: Felix Cheung <felixcheung_m@hotmail.com> Closes #18264 from felixcheung/rtestset.
Felix Cheung authored## What changes were proposed in this pull request? Move all existing tests to non-installed directory so that it will never run by installing SparkR package For a follow-up PR: - remove all skip_on_cran() calls in tests - clean up test timer - improve or change basic tests that do run on CRAN (if anyone has suggestion) It looks like `R CMD build pkg` will still put pkg\tests (ie. the full tests) into the source package but `R CMD INSTALL` on such source package does not install these tests (and so `R CMD check` does not run them) ## How was this patch tested? - [x] unit tests, Jenkins - [x] AppVeyor - [x] make a source package, install it, `R CMD check` it - verify the full tests are not installed or run Author: Felix Cheung <felixcheung_m@hotmail.com> Closes #18264 from felixcheung/rtestset.
test_mllib_stat.R 2.12 KiB
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library(testthat)
context("MLlib statistics algorithms")
# Tests for MLlib statistics algorithms in SparkR
sparkSession <- sparkR.session(master = sparkRTestMaster, enableHiveSupport = FALSE)
test_that("spark.kstest", {
data <- data.frame(test = c(0.1, 0.15, 0.2, 0.3, 0.25, -1, -0.5))
df <- createDataFrame(data)
testResult <- spark.kstest(df, "test", "norm")
stats <- summary(testResult)
rStats <- ks.test(data$test, "pnorm", alternative = "two.sided")
expect_equal(stats$p.value, rStats$p.value, tolerance = 1e-4)
expect_equal(stats$statistic, unname(rStats$statistic), tolerance = 1e-4)
expect_match(capture.output(stats)[1], "Kolmogorov-Smirnov test summary:")
testResult <- spark.kstest(df, "test", "norm", -0.5)
stats <- summary(testResult)
rStats <- ks.test(data$test, "pnorm", -0.5, 1, alternative = "two.sided")
expect_equal(stats$p.value, rStats$p.value, tolerance = 1e-4)
expect_equal(stats$statistic, unname(rStats$statistic), tolerance = 1e-4)
expect_match(capture.output(stats)[1], "Kolmogorov-Smirnov test summary:")
# Test print.summary.KSTest
printStats <- capture.output(print.summary.KSTest(stats))
expect_match(printStats[1], "Kolmogorov-Smirnov test summary:")
expect_match(printStats[5],
"Low presumption against null hypothesis: Sample follows theoretical distribution. ")
})
sparkR.session.stop()