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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/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(squat) Attaching package: 'squat' The following objects are masked from 'package:stats': dist, hclust, kmeans, smooth The following objects are masked from 'package:base': append, scale > > test_check("squat") Attaching package: 'purrr' The following object is masked from 'package:testthat': is_null i Computing initial centroids using kmeans++ strategy... Information about the data set: - Number of observations: 10 - Number of dimensions: 3 - Number of points: 101 Information about cluster initialization: - Number of clusters: 2 - Initial seeds for cluster centers: 10 7 Information about the methods used within the algorithm: - Warping method: affine - Center method: mean - Dissimilarity method: l2 - Optimization method: bobyqa Information about warping parameter bounds: - Warping options: 0.1500 0.1500 Information about convergence criteria: - Maximum number of iterations: 100 - Distance relative tolerance: 0.001 Information about parallelization setup: - Number of threads: 1 - Parallel method: 0 Other information: - Use fence to robustify: 0 - Check total dissimilarity: 1 - Compute overall center: 0 Running k-centroid algorithm: - Iteration #1 * Size of cluster #0: 6 * Size of cluster #1: 4 - Iteration #2 * Size of cluster #0: 6 * Size of cluster #1: 4 Active stopping criteria: - Memberships did not change. i Computing initial centroids using kmeans++ strategy... Information about the data set: - Number of observations: 10 - Number of dimensions: 3 - Number of points: 101 Information about cluster initialization: - Number of clusters: 2 - Initial seeds for cluster centers: 10 7 Information about the methods used within the algorithm: - Warping method: affine - Center method: mean - Dissimilarity method: l2 - Optimization method: bobyqa Information about warping parameter bounds: - Warping options: 0.1500 0.1500 Information about convergence criteria: - Maximum number of iterations: 100 - Distance relative tolerance: 0.001 Information about parallelization setup: - Number of threads: 1 - Parallel method: 0 Other information: - Use fence to robustify: 0 - Check total dissimilarity: 1 - Compute overall center: 0 Running k-centroid algorithm: - Iteration #1 * Size of cluster #0: 6 * Size of cluster #1: 4 - Iteration #2 * Size of cluster #0: 6 * Size of cluster #1: 4 Active stopping criteria: - Memberships did not change. i Computing initial centroids using kmeans++ strategy... Information about the data set: - Number of observations: 10 - Number of dimensions: 3 - Number of points: 101 Information about cluster initialization: - Number of clusters: 2 - Initial seeds for cluster centers: 10 7 Information about the methods used within the algorithm: - Warping method: affine - Center method: mean - Dissimilarity method: l2 - Optimization method: bobyqa Information about warping parameter bounds: - Warping options: 0.1500 0.1500 Information about convergence criteria: - Maximum number of iterations: 100 - Distance relative tolerance: 0.001 Information about parallelization setup: - Number of threads: 1 - Parallel method: 0 Other information: - Use fence to robustify: 0 - Check total dissimilarity: 1 - Compute overall center: 0 Running k-centroid algorithm: - Iteration #1 * Size of cluster #0: 6 * Size of cluster #1: 4 - Iteration #2 * Size of cluster #0: 6 * Size of cluster #1: 4 Active stopping criteria: - Memberships did not change. The `original_space` boolean argument is not specified. Defaulting to TRUE. The `plane` length-2 integer vector argument is not specified. Defaulting to 1:2. The `original_space` boolean argument is not specified. Defaulting to TRUE. [ FAIL 0 | WARN 0 | SKIP 30 | PASS 31 ] ══ Skipped tests (30) ══════════════════════════════════════════════════════════ • On CRAN (30): 'test-DTW.R:2:3', 'test-interface.R:2:3', 'test-interface.R:7:3', 'test-interface.R:12:3', 'test-interface.R:24:3', 'test-interface.R:31:3', 'test-interface.R:36:3', 'test-interface.R:41:3', 'test-interface.R:46:3', 'test-qts-class.R:15:3', 'test-qts-class.R:23:3', 'test-qts-class.R:31:3', 'test-qts-class.R:49:3', 'test-qts-dist.R:5:3', 'test-qts-dist.R:10:3', 'test-qts-dist.R:15:3', 'test-qts-kmeans.R:28:3', 'test-qts-prcomp.R:3:3', 'test-qts-prcomp.R:21:3', 'test-qts-sample-class.R:7:3', 'test-qts-sample-class.R:17:3', 'test-qts-sample-class.R:30:3', 'test-qts-sample-class.R:67:3', 'test-qts-sample-class.R:71:3', 'test-qts-sample-class.R:75:3', 'test-qts-sample-class.R:91:3', 'test-qts-transformations.R:2:3', 'test-qts-transformations.R:6:3', 'test-qts-transformations.R:11:3', 'test-qts-transformations.R:16:3' [ FAIL 0 | WARN 0 | SKIP 30 | PASS 31 ] Deleting unused snapshots: • qts-class/qts-plot-with-change-points.svg • qts-prcomp/colored-score-plot.svg • qts-prcomp/score-plot.svg • qts-prcomp/screeplot.svg • qts-sample-class/qts-sample-plot-with-highlighted-observations.svg • qts-sample-class/qts-sample-plot-with-memberships.svg > > proc.time() user system elapsed 21.07 3.96 25.03