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Type 'q()' to quit R. > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(cpam) > > test_check("cpam") Estimating changepoints for 10 targets Candidate changepoints are t = 1, 2, 3, 4, 5, and 6 i Processing count matrix v Processing count matrix [27ms] i Filtering low count genes i Estimating dispersions using edgeR v Estimating dispersions using edgeR [408ms] i Filtering low count genes v Filtering low count genes [526ms] i Processing count matrix v Processing count matrix [26ms] i Filtering low count genes i Estimating dispersions using edgeR v Estimating dispersions using edgeR [105ms] i Filtering low count genes v Filtering low count genes [164ms] Estimating changepoints for 2 targets Candidate changepoints are t = 1, 2, 3, 4, 5, and 6 Estimating shapes for 2 targets Candidate changepoints are bs = "micv", "mdcx", "cv", "cx", "lin", "tp", and "null" i Processing count matrix v Processing count matrix [22ms] i Filtering low count genes i Estimating dispersions using edgeR v Estimating dispersions using edgeR [105ms] i Filtering low count genes v Filtering low count genes [150ms] Estimating changepoints for 2 targets Candidate changepoints are t = 1, 2, 3, 4, 5, and 6 Estimating shapes for 2 targets Candidate changepoints are bs = "micv", "mdcx", "cv", "cx", "lin", "tp", and "null" i Processing count matrix v Processing count matrix [30ms] i Filtering low count genes i Estimating dispersions using edgeR v Estimating dispersions using edgeR [122ms] i Filtering low count genes v Filtering low count genes [183ms] Estimating changepoints for 2 targets Candidate changepoints are t = 1, 2, 3, 4, 5, and 6 Estimating shapes for 2 targets Candidate changepoints are bs = "micv", "mdcx", "cv", "cx", "lin", "tp", and "null" i Processing count matrix v Processing count matrix [33ms] i Filtering low count genes i Estimating dispersions using edgeR v Estimating dispersions using edgeR [107ms] i Filtering low count genes v Filtering low count genes [180ms] Estimating changepoints for 2 targets Candidate changepoints are t = 1, 2, 3, 4, 5, and 6 Estimating shapes for 2 targets Candidate changepoints are bs = "micv", "mdcx", "cv", "cx", "lin", "tp", and "null" i Processing count matrix v Processing count matrix [19ms] i Filtering low count genes i Estimating dispersions using edgeR v Estimating dispersions using edgeR [92ms] i Filtering low count genes v Filtering low count genes [146ms] Estimating changepoints for 2 targets Candidate changepoints are t = 1, 2, 3, 4, 5, and 6 Estimating shapes for 2 targets Candidate changepoints are bs = "micv", "mdcx", "cv", "cx", "lin", "tp", and "null" i Processing count matrix v Processing count matrix [28ms] i Filtering low count genes i Estimating dispersions using edgeR v Estimating dispersions using edgeR [95ms] i Filtering low count genes v Filtering low count genes [157ms] Estimating changepoints for 2 targets Candidate changepoints are t = 1, 2, 3, 4, 5, and 6 Estimating shapes for 2 targets Candidate changepoints are bs = "micv", "mdcx", "cv", "cx", "lin", "tp", and "null" i Processing count matrix v Processing count matrix [20ms] i Filtering low count genes i Estimating dispersions using edgeR v Estimating dispersions using edgeR [89ms] i Filtering low count genes v Filtering low count genes [150ms] Estimating changepoints for 2 targets Candidate changepoints are t = 1, 2, 3, 4, 5, and 6 Estimating shapes for 2 targets Candidate changepoints are bs = "micv", "mdcx", "cv", "cx", "lin", "tp", and "null" i Processing count matrix v Processing count matrix [26ms] i Filtering low count genes i Estimating dispersions using edgeR v Estimating dispersions using edgeR [93ms] i Filtering low count genes v Filtering low count genes [153ms] Estimating changepoints for 2 targets Candidate changepoints are t = 1, 2, 3, 4, 5, and 6 Estimating shapes for 2 targets Candidate changepoints are bs = "micv", "mdcx", "cv", "cx", "lin", "tp", and "null" i Processing count matrix v Processing count matrix [26ms] i Filtering low count genes i Estimating dispersions using edgeR v Estimating dispersions using edgeR [86ms] i Filtering low count genes v Filtering low count genes [136ms] Estimating changepoints for 2 targets Candidate changepoints are t = 1, 2, 3, 4, 5, and 6 Estimating shapes for 2 targets Candidate changepoints are bs = "micv", "mdcx", "cv", "cx", "lin", "tp", and "null" Plotting 4 targets Plotting 7 targets Plotting 4 targets ! Parallel processing is not supported on Windows. Setting `num_cores = 1` [ FAIL 0 | WARN 0 | SKIP 5 | PASS 212 ] ══ Skipped tests (5) ═══════════════════════════════════════════════════════════ • On CRAN (5): 'test-compute_p_values.R:199:5', 'test-pipeline.R:193:1', 'test-pipeline.R:202:1', 'test-pipeline.R:213:1', 'test-pipeline.R:224:1' [ FAIL 0 | WARN 0 | SKIP 5 | PASS 212 ] > > proc.time() user system elapsed 31.79 1.43 33.18