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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(CohortSymmetry) > > test_check("CohortSymmetry") Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer -- 5 combinations of 8 had index always before marker -- 5 combinations of 8 had marker always before index Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer trying URL 'https://example-data.ohdsi.dev/GiBleed.zip' Content type 'application/zip' length 6754786 bytes (6.4 MB) ================================================== downloaded 6.4 MB Creating CDM database D:\temp\Rtmp4aV4Zy/GiBleed_5.3.zip Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer -- 1 combination of 4 had index always before marker Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer -- 1 combination of 4 had index always before marker Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer Joining with `by = join_by(cdm_name, days_prior_observation, washout_window, index_marker_gap, combination_window, timescale)` ! The following column type were changed: * result_id: from character to integer * variable_level: from integer to character * estimate_value: from integer to character Joining with `by = join_by(cdm_name, days_prior_observation, washout_window, index_marker_gap, combination_window, timescale)` ! The following column type were changed: * result_id: from character to integer * variable_level: from integer to character * estimate_value: from integer to character Joining with `by = join_by(cdm_name, days_prior_observation, washout_window, index_marker_gap, combination_window, timescale)` ! The following column type were changed: * result_id: from character to integer * variable_level: from integer to character * estimate_value: from integer to character Joining with `by = join_by(cdm_name, days_prior_observation, washout_window, index_marker_gap, combination_window, timescale)` ! The following column type were changed: * result_id: from character to integer * variable_level: from integer to character * estimate_value: from integer to character -- 1 combination of 4 had index always before marker Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer -- 1 combination of 4 had index always before marker Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer Joining with `by = join_by(result_id, cdm_name)` Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer Joining with `by = join_by(result_id, cdm_name)` Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer -- 1 combination of 1 had index always before marker Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer -- 0 combinations of 1 had marker always before index Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer -- 1 combination of 4 had index always before marker Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer -- 1 combination of 4 had index always before marker Joining with `by = join_by(days_prior_observation, washout_window, index_marker_gap, combination_window, confidence_interval, moving_average_restriction, cdm_name)` ! The following column type were changed: * result_id: from character to integer Joining with `by = join_by(cdm_name, days_prior_observation, washout_window, index_marker_gap, combination_window, timescale)` ! The following column type were changed: * result_id: from character to integer * variable_level: from integer to character * estimate_value: from integer to character Joining with `by = join_by(cdm_name, days_prior_observation, washout_window, index_marker_gap, combination_window, timescale)` ! The following column type were changed: * result_id: from character to integer * variable_level: from integer to character * estimate_value: from integer to character Joining with `by = join_by(cdm_name, days_prior_observation, washout_window, index_marker_gap, combination_window, timescale)` ! The following column type were changed: * result_id: from character to integer * variable_level: from integer to character * estimate_value: from integer to character Joining with `by = join_by(cdm_name, days_prior_observation, washout_window, index_marker_gap, combination_window, timescale)` ! The following column type were changed: * result_id: from character to integer * variable_level: from integer to character * estimate_value: from integer to character Joining with `by = join_by(cdm_name, days_prior_observation, washout_window, index_marker_gap, combination_window, timescale)` ! The following column type were changed: * result_id: from character to integer * variable_level: from integer to character * estimate_value: from integer to character Joining with `by = join_by(cdm_name, days_prior_observation, washout_window, index_marker_gap, combination_window, timescale)` ! The following column type were changed: * result_id: from character to integer * variable_level: from integer to character * estimate_value: from integer to character Joining with `by = join_by(cdm_name, days_prior_observation, washout_window, index_marker_gap, combination_window, timescale)` ! The following column type were changed: * result_id: from character to integer * variable_level: from integer to character * estimate_value: from integer to character Joining with `by = join_by(cdm_name, days_prior_observation, washout_window, index_marker_gap, combination_window, timescale)` ! The following column type were changed: * result_id: from character to integer * variable_level: from integer to character * estimate_value: from integer to character [ FAIL 0 | WARN 234 | SKIP 2 | PASS 349 ] ══ Skipped tests (2) ═══════════════════════════════════════════════════════════ • Sys.getenv("CDM5_REDSHIFT_DBNAME") == "" is TRUE (1): 'test-test-dbs.R:49:3' • Sys.getenv("SQL_SERVER_DRIVER") == "" is TRUE (1): 'test-test-dbs.R:2:3' [ FAIL 0 | WARN 234 | SKIP 2 | PASS 349 ] > > proc.time() user system elapsed 733.32 59.56 698.12 Warning message: Connection is garbage-collected, use dbDisconnect() to avoid this.