CRAN Package Check Results for Package metaumbrella

Last updated on 2022-05-05 05:53:47 CEST.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	1.0.2	11.25	466.89	478.14	ERROR
r-devel-linux-x86_64-debian-gcc	1.0.2	8.69	340.00	348.69	ERROR
r-devel-linux-x86_64-fedora-clang	1.0.2			562.04	ERROR
r-devel-linux-x86_64-fedora-gcc	1.0.2			554.62	ERROR
r-devel-windows-x86_64	1.0.2	94.00	518.00	612.00	ERROR
r-patched-linux-x86_64	1.0.2	11.67	458.05	469.72	ERROR
r-release-linux-x86_64	1.0.2				ERROR
r-release-macos-arm64	1.0.2			138.00	OK
r-release-macos-x86_64	1.0.2			215.00	OK
r-release-windows-x86_64	1.0.2	70.00	522.00	592.00	ERROR
r-oldrel-macos-arm64	1.0.2			157.00	OK
r-oldrel-macos-x86_64	1.0.2			237.00	OK
r-oldrel-windows-ix86+x86_64	1.0.2	17.00	401.00	418.00	ERROR

Check Details

Version: 1.0.2
Check: tests
Result: ERROR
     Running 'spelling.R' [0s/1s]
     Running 'testthat.R' [291s/330s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(metaumbrella)
     >
     > test_check("metaumbrella")
     Analyzing factor: Pharmacological
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: SSRI
    
     Analyzing factor: SSRI
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
    
     Analyzing factor: Smoking
     In factor 'Smoking':
     - study: 'el-Sami (2005)' contains multiple outcomes
    
     In factor 'Smoking' some studies have multiple outcomes but they are not associated with any within-study correlation (which can be indicated in the 'r' column of the dataset). A value of r = 0.5 is assumed.
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
     Analyzing factor: Surgical
    
     Analyzing factor: ADHD
     Analyzing factor: ASD
     Analyzing factor: dyslexia
     Analyzing factor: ID
    
     Analyzing factor: Yoga
     Analyzing factor: Aerobic training
     Analyzing factor: Resistance training
     Analyzing factor: Mindfulness
    
     Analyzing factor: ID
    
     Analyzing factor: Smoking
    
     Analyzing factor: SSRI
    
     Analyzing factor: Yoga
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
    
     == Skipped tests ===============================================================
     * On CRAN (52)
    
     == Failed tests ================================================================
     -- Error (test-functions_multilevel.R:27:3): agg.data correctly aggregates studies with multiple effect size estimates: SMD --
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     x
     1. \-metafor::aggregate.escalc(...) at test-functions_multilevel.R:27:2
     -- Error (test-functions_multilevel.R:61:3): agg.data correctly aggregates studies with multiple effect size estimates: OR --
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = paste0(author, year), struct = "ID", weighted = TRUE)`: Processing terminated since k == 0.
     Backtrace:
     x
     1. \-metafor::aggregate.escalc(...) at test-functions_multilevel.R:61:2
     -- Error (test-functions_multilevel.R:94:3): agg.data correctly aggregates studies with multiple effect size estimates: RR --
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     x
     1. \-metafor::aggregate.escalc(...) at test-functions_multilevel.R:94:2
     -- Error (test-functions_multilevel.R:138:3): agg.data correctly aggregates studies with multiple effect size estimates: IRR --
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     x
     1. \-metafor::aggregate.escalc(...) at test-functions_multilevel.R:138:2
     -- Error (test-functions_multilevel.R:172:3): agg.data correctly aggregates studies with multiple effect size estimates: HR --
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     x
     1. \-metafor::aggregate.escalc(...) at test-functions_multilevel.R:172:2
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 1.0.2
Check: tests
Result: ERROR
     Running ‘spelling.R’ [0s/1s]
     Running ‘testthat.R’ [211s/340s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(metaumbrella)
     >
     > test_check("metaumbrella")
     Analyzing factor: Pharmacological
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: SSRI
    
     Analyzing factor: SSRI
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
    
     Analyzing factor: Smoking
     In factor 'Smoking':
     - study: 'el-Sami (2005)' contains multiple outcomes
    
     In factor 'Smoking' some studies have multiple outcomes but they are not associated with any within-study correlation (which can be indicated in the 'r' column of the dataset). A value of r = 0.5 is assumed.
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
     Analyzing factor: Surgical
    
     Analyzing factor: ADHD
     Analyzing factor: ASD
     Analyzing factor: dyslexia
     Analyzing factor: ID
    
     Analyzing factor: Yoga
     Analyzing factor: Aerobic training
     Analyzing factor: Resistance training
     Analyzing factor: Mindfulness
    
     Analyzing factor: ID
    
     Analyzing factor: Smoking
    
     Analyzing factor: SSRI
    
     Analyzing factor: Yoga
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (52)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test-functions_multilevel.R:27:3): agg.data correctly aggregates studies with multiple effect size estimates: SMD ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:27:2
     ── Error (test-functions_multilevel.R:61:3): agg.data correctly aggregates studies with multiple effect size estimates: OR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = paste0(author, year), struct = "ID", weighted = TRUE)`: Processing terminated since k == 0.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:61:2
     ── Error (test-functions_multilevel.R:94:3): agg.data correctly aggregates studies with multiple effect size estimates: RR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:94:2
     ── Error (test-functions_multilevel.R:138:3): agg.data correctly aggregates studies with multiple effect size estimates: IRR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:138:2
     ── Error (test-functions_multilevel.R:172:3): agg.data correctly aggregates studies with multiple effect size estimates: HR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:172:2
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.0.2
Check: tests
Result: ERROR
     Running ‘spelling.R’
     Running ‘testthat.R’ [341s/403s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(metaumbrella)
     >
     > test_check("metaumbrella")
     Analyzing factor: Pharmacological
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: SSRI
    
     Analyzing factor: SSRI
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
    
     Analyzing factor: Smoking
     In factor 'Smoking':
     - study: 'el-Sami (2005)' contains multiple outcomes
    
     In factor 'Smoking' some studies have multiple outcomes but they are not associated with any within-study correlation (which can be indicated in the 'r' column of the dataset). A value of r = 0.5 is assumed.
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
     Analyzing factor: Surgical
    
     Analyzing factor: ADHD
     Analyzing factor: ASD
     Analyzing factor: dyslexia
     Analyzing factor: ID
    
     Analyzing factor: Yoga
     Analyzing factor: Aerobic training
     Analyzing factor: Resistance training
     Analyzing factor: Mindfulness
    
     Analyzing factor: ID
    
     Analyzing factor: Smoking
    
     Analyzing factor: SSRI
    
     Analyzing factor: Yoga
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (52)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test-functions_multilevel.R:27:3): agg.data correctly aggregates studies with multiple effect size estimates: SMD ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:27:2
     ── Error (test-functions_multilevel.R:61:3): agg.data correctly aggregates studies with multiple effect size estimates: OR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = paste0(author, year), struct = "ID", weighted = TRUE)`: Processing terminated since k == 0.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:61:2
     ── Error (test-functions_multilevel.R:94:3): agg.data correctly aggregates studies with multiple effect size estimates: RR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:94:2
     ── Error (test-functions_multilevel.R:138:3): agg.data correctly aggregates studies with multiple effect size estimates: IRR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:138:2
     ── Error (test-functions_multilevel.R:172:3): agg.data correctly aggregates studies with multiple effect size estimates: HR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:172:2
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 1.0.2
Check: tests
Result: ERROR
     Running ‘spelling.R’
     Running ‘testthat.R’ [336s/432s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(metaumbrella)
     >
     > test_check("metaumbrella")
     Analyzing factor: Pharmacological
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: SSRI
    
     Analyzing factor: SSRI
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
    
     Analyzing factor: Smoking
     In factor 'Smoking':
     - study: 'el-Sami (2005)' contains multiple outcomes
    
     In factor 'Smoking' some studies have multiple outcomes but they are not associated with any within-study correlation (which can be indicated in the 'r' column of the dataset). A value of r = 0.5 is assumed.
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
     Analyzing factor: Surgical
    
     Analyzing factor: ADHD
     Analyzing factor: ASD
     Analyzing factor: dyslexia
     Analyzing factor: ID
    
     Analyzing factor: Yoga
     Analyzing factor: Aerobic training
     Analyzing factor: Resistance training
     Analyzing factor: Mindfulness
    
     Analyzing factor: ID
    
     Analyzing factor: Smoking
    
     Analyzing factor: SSRI
    
     Analyzing factor: Yoga
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (52)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test-functions_multilevel.R:27:3): agg.data correctly aggregates studies with multiple effect size estimates: SMD ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:27:2
     ── Error (test-functions_multilevel.R:61:3): agg.data correctly aggregates studies with multiple effect size estimates: OR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = paste0(author, year), struct = "ID", weighted = TRUE)`: Processing terminated since k == 0.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:61:2
     ── Error (test-functions_multilevel.R:94:3): agg.data correctly aggregates studies with multiple effect size estimates: RR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:94:2
     ── Error (test-functions_multilevel.R:138:3): agg.data correctly aggregates studies with multiple effect size estimates: IRR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:138:2
     ── Error (test-functions_multilevel.R:172:3): agg.data correctly aggregates studies with multiple effect size estimates: HR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:172:2
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 1.0.2
Check: tests
Result: ERROR
     Running 'spelling.R' [1s]
     Running 'testthat.R' [301s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(metaumbrella)
     >
     > test_check("metaumbrella")
     Analyzing factor: Pharmacological
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: SSRI
    
     Analyzing factor: SSRI
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
    
     Analyzing factor: Smoking
     In factor 'Smoking':
     - study: 'el-Sami (2005)' contains multiple outcomes
    
     In factor 'Smoking' some studies have multiple outcomes but they are not associated with any within-study correlation (which can be indicated in the 'r' column of the dataset). A value of r = 0.5 is assumed.
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
     Analyzing factor: Surgical
    
     Analyzing factor: ADHD
     Analyzing factor: ASD
     Analyzing factor: dyslexia
     Analyzing factor: ID
    
     Analyzing factor: Yoga
     Analyzing factor: Aerobic training
     Analyzing factor: Resistance training
     Analyzing factor: Mindfulness
    
     Analyzing factor: ID
    
     Analyzing factor: Smoking
    
     Analyzing factor: SSRI
    
     Analyzing factor: Yoga
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (52)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test-functions_multilevel.R:27:3): agg.data correctly aggregates studies with multiple effect size estimates: SMD ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:27:2
     ── Error (test-functions_multilevel.R:61:3): agg.data correctly aggregates studies with multiple effect size estimates: OR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = paste0(author, year), struct = "ID", weighted = TRUE)`: Processing terminated since k == 0.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:61:2
     ── Error (test-functions_multilevel.R:94:3): agg.data correctly aggregates studies with multiple effect size estimates: RR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:94:2
     ── Error (test-functions_multilevel.R:138:3): agg.data correctly aggregates studies with multiple effect size estimates: IRR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:138:2
     ── Error (test-functions_multilevel.R:172:3): agg.data correctly aggregates studies with multiple effect size estimates: HR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:172:2
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-windows-x86_64

Version: 1.0.2
Check: tests
Result: ERROR
     Running ‘spelling.R’ [0s/1s]
     Running ‘testthat.R’ [287s/339s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(metaumbrella)
     >
     > test_check("metaumbrella")
     Analyzing factor: Pharmacological
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: SSRI
    
     Analyzing factor: SSRI
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
    
     Analyzing factor: Smoking
     In factor 'Smoking':
     - study: 'el-Sami (2005)' contains multiple outcomes
    
     In factor 'Smoking' some studies have multiple outcomes but they are not associated with any within-study correlation (which can be indicated in the 'r' column of the dataset). A value of r = 0.5 is assumed.
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
     Analyzing factor: Surgical
    
     Analyzing factor: ADHD
     Analyzing factor: ASD
     Analyzing factor: dyslexia
     Analyzing factor: ID
    
     Analyzing factor: Yoga
     Analyzing factor: Aerobic training
     Analyzing factor: Resistance training
     Analyzing factor: Mindfulness
    
     Analyzing factor: ID
    
     Analyzing factor: Smoking
    
     Analyzing factor: SSRI
    
     Analyzing factor: Yoga
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (52)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test-functions_multilevel.R:27:3): agg.data correctly aggregates studies with multiple effect size estimates: SMD ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:27:2
     ── Error (test-functions_multilevel.R:61:3): agg.data correctly aggregates studies with multiple effect size estimates: OR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = paste0(author, year), struct = "ID", weighted = TRUE)`: Processing terminated since k == 0.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:61:2
     ── Error (test-functions_multilevel.R:94:3): agg.data correctly aggregates studies with multiple effect size estimates: RR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:94:2
     ── Error (test-functions_multilevel.R:138:3): agg.data correctly aggregates studies with multiple effect size estimates: IRR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:138:2
     ── Error (test-functions_multilevel.R:172:3): agg.data correctly aggregates studies with multiple effect size estimates: HR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:172:2
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
     Error: Test failures
     Execution halted
Flavor: r-patched-linux-x86_64

Version: 1.0.2
Check: tests
Result: ERROR
     Running ‘spelling.R’ [0s/0s]
     Running ‘testthat.R’ [279s/327s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(metaumbrella)
     >
     > test_check("metaumbrella")
     Analyzing factor: Pharmacological
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: SSRI
    
     Analyzing factor: SSRI
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
    
     Analyzing factor: Smoking
     In factor 'Smoking':
     - study: 'el-Sami (2005)' contains multiple outcomes
    
     In factor 'Smoking' some studies have multiple outcomes but they are not associated with any within-study correlation (which can be indicated in the 'r' column of the dataset). A value of r = 0.5 is assumed.
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
     Analyzing factor: Surgical
    
     Analyzing factor: ADHD
     Analyzing factor: ASD
     Analyzing factor: dyslexia
     Analyzing factor: ID
    
     Analyzing factor: Yoga
     Analyzing factor: Aerobic training
     Analyzing factor: Resistance training
     Analyzing factor: Mindfulness
    
     Analyzing factor: ID
    
     Analyzing factor: Smoking
    
     Analyzing factor: SSRI
    
     Analyzing factor: Yoga
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (52)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test-functions_multilevel.R:27:3): agg.data correctly aggregates studies with multiple effect size estimates: SMD ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:27:2
     ── Error (test-functions_multilevel.R:61:3): agg.data correctly aggregates studies with multiple effect size estimates: OR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = paste0(author, year), struct = "ID", weighted = TRUE)`: Processing terminated since k == 0.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:61:2
     ── Error (test-functions_multilevel.R:94:3): agg.data correctly aggregates studies with multiple effect size estimates: RR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:94:2
     ── Error (test-functions_multilevel.R:138:3): agg.data correctly aggregates studies with multiple effect size estimates: IRR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:138:2
     ── Error (test-functions_multilevel.R:172:3): agg.data correctly aggregates studies with multiple effect size estimates: HR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:172:2
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
     Error: Test failures
     Execution halted
Flavor: r-release-linux-x86_64

Version: 1.0.2
Check: tests
Result: ERROR
     Running 'spelling.R' [0s]
     Running 'testthat.R' [310s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(metaumbrella)
     >
     > test_check("metaumbrella")
     Analyzing factor: Pharmacological
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: SSRI
    
     Analyzing factor: SSRI
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
    
     Analyzing factor: Smoking
     In factor 'Smoking':
     - study: 'el-Sami (2005)' contains multiple outcomes
    
     In factor 'Smoking' some studies have multiple outcomes but they are not associated with any within-study correlation (which can be indicated in the 'r' column of the dataset). A value of r = 0.5 is assumed.
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
     Analyzing factor: Surgical
    
     Analyzing factor: ADHD
     Analyzing factor: ASD
     Analyzing factor: dyslexia
     Analyzing factor: ID
    
     Analyzing factor: Yoga
     Analyzing factor: Aerobic training
     Analyzing factor: Resistance training
     Analyzing factor: Mindfulness
    
     Analyzing factor: ID
    
     Analyzing factor: Smoking
    
     Analyzing factor: SSRI
    
     Analyzing factor: Yoga
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (52)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test-functions_multilevel.R:27:3): agg.data correctly aggregates studies with multiple effect size estimates: SMD ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:27:2
     ── Error (test-functions_multilevel.R:61:3): agg.data correctly aggregates studies with multiple effect size estimates: OR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = paste0(author, year), struct = "ID", weighted = TRUE)`: Processing terminated since k == 0.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:61:2
     ── Error (test-functions_multilevel.R:94:3): agg.data correctly aggregates studies with multiple effect size estimates: RR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:94:2
     ── Error (test-functions_multilevel.R:138:3): agg.data correctly aggregates studies with multiple effect size estimates: IRR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:138:2
     ── Error (test-functions_multilevel.R:172:3): agg.data correctly aggregates studies with multiple effect size estimates: HR ──
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     ▆
     1. └─metafor::aggregate.escalc(...) at test-functions_multilevel.R:172:2
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
     Error: Test failures
     Execution halted
Flavor: r-release-windows-x86_64

Version: 1.0.2
Check: tests
Result: ERROR
     Running 'spelling.R' [0s]
     Running 'testthat.R' [239s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(metaumbrella)
     >
     > test_check("metaumbrella")
     Analyzing factor: Pharmacological
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: ASD
    
     Analyzing factor: SSRI
    
     Analyzing factor: SSRI
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
     Analyzing factor: Smoking
    
    
     Analyzing factor: Smoking
     In factor 'Smoking':
     - study: 'el-Sami (2005)' contains multiple outcomes
    
     In factor 'Smoking' some studies have multiple outcomes but they are not associated with any within-study correlation (which can be indicated in the 'r' column of the dataset). A value of r = 0.5 is assumed.
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
     Analyzing factor: Surgical
    
     Analyzing factor: ADHD
     Analyzing factor: ASD
     Analyzing factor: dyslexia
     Analyzing factor: ID
    
     Analyzing factor: Yoga
     Analyzing factor: Aerobic training
     Analyzing factor: Resistance training
     Analyzing factor: Mindfulness
    
     Analyzing factor: ID
    
     Analyzing factor: Smoking
    
     Analyzing factor: SSRI
    
     Analyzing factor: Yoga
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: ADHD
    
     Analyzing factor: Pharmacological
    
     Analyzing factor: Pharmacological
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
    
     == Skipped tests ===============================================================
     * On CRAN (52)
    
     == Failed tests ================================================================
     -- Error (test-functions_multilevel.R:27:3): agg.data correctly aggregates studies with multiple effect size estimates: SMD --
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     x
     1. \-metafor::aggregate.escalc(...) at test-functions_multilevel.R:27:2
     -- Error (test-functions_multilevel.R:61:3): agg.data correctly aggregates studies with multiple effect size estimates: OR --
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = paste0(author, year), struct = "ID", weighted = TRUE)`: Processing terminated since k == 0.
     Backtrace:
     x
     1. \-metafor::aggregate.escalc(...) at test-functions_multilevel.R:61:2
     -- Error (test-functions_multilevel.R:94:3): agg.data correctly aggregates studies with multiple effect size estimates: RR --
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     x
     1. \-metafor::aggregate.escalc(...) at test-functions_multilevel.R:94:2
     -- Error (test-functions_multilevel.R:138:3): agg.data correctly aggregates studies with multiple effect size estimates: IRR --
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     x
     1. \-metafor::aggregate.escalc(...) at test-functions_multilevel.R:138:2
     -- Error (test-functions_multilevel.R:172:3): agg.data correctly aggregates studies with multiple effect size estimates: HR --
     Error in `metafor::aggregate.escalc(subset(df.agg.mfr, multiple_es == "groups"),
     cluster = author, struct = "ID", weighted = TRUE)`: No missing values allowed in 'cluster' variable.
     Backtrace:
     x
     1. \-metafor::aggregate.escalc(...) at test-functions_multilevel.R:172:2
    
     [ FAIL 5 | WARN 0 | SKIP 52 | PASS 530 ]
     Error: Test failures
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64