Last updated on 2023-08-27 15:52:44 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.3.0 | 16.17 | 112.90 | 129.07 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 1.3.0 | 11.23 | 84.06 | 95.29 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 1.3.0 | 160.46 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 1.3.0 | 181.10 | ERROR | |||
| r-devel-windows-x86_64 | 1.3.0 | 17.00 | 151.00 | 168.00 | ERROR | |
| r-patched-linux-x86_64 | 1.3.0 | 16.31 | 170.23 | 186.54 | ERROR | |
| r-release-linux-x86_64 | 1.3.0 | 17.73 | 172.68 | 190.41 | ERROR | |
| r-release-macos-arm64 | 1.3.0 | 54.00 | NOTE | |||
| r-release-macos-x86_64 | 1.3.0 | 96.00 | NOTE | |||
| r-release-windows-x86_64 | 1.3.0 | 23.00 | 189.00 | 212.00 | ERROR | |
| r-oldrel-macos-arm64 | 1.3.0 | 73.00 | OK | |||
| r-oldrel-macos-x86_64 | 1.3.0 | 88.00 | OK | |||
| r-oldrel-windows-x86_64 | 1.3.0 | 21.00 | 178.00 | 199.00 | ERROR |
Version: 1.3.0
Check: package dependencies
Result: NOTE
Packages suggested but not available for checking: 'xcms', 'MSnbase'
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-release-macos-arm64, r-release-macos-x86_64
Version: 1.3.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [11s/13s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(RAMClustR)
>
> test_check("RAMClustR")
plotting findmain annotation results
finished
87.5% of features move forward
ma MSdata
df phenoData
Features which failed to demonstrate signal intensity of at least 3 fold greater in QC samples than in blanks were removed from the feature dataset. 6 of 48 features were removed.MSdata : 33 passed the CV filter
Features were filtered based on their qc sample CV values. Only features with CV vaules less than or equal to 0.5 in MSdata set were retained. 9 of 42 features were removed.Features were normalized by linearly regressing run order versus qc feature intensities to account for instrument signal intensity drift. Only features with a regression pvalue less than 0.05 and an r-squared greater than 0.1 were corrected. Of 42 features, 0 was corrected for run order effects.replaced 12 of 192 total feature values ( 6 % )
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 4 spectra
collapsing feature into spectral signal intensities
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 6 spectra
collapsing feature into spectral signal intensities
organizing dataset
replaced 0 of 609 total feature values ( 0 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 203 features into 22 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
[ FAIL 1 | WARN 10 | SKIP 4 | PASS 19 ]
══ Skipped tests (4) ═══════════════════════════════════════════════════════════
• xcms cannot be loaded (4): 'test-rc.get.xcms.data.R:2:3',
'test-stepwise-workflow.R:2:3', 'test-workflow-comparison.R:2:3',
'test.R:2:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-do.findmain.R:10:3'): RAMClustR do.findmain ──────────────────
`actual` not equal to `expected`.
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
[ FAIL 1 | WARN 10 | SKIP 4 | PASS 19 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 1.3.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [9s/16s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(RAMClustR)
>
> test_check("RAMClustR")
plotting findmain annotation results
finished
87.5% of features move forward
ma MSdata
df phenoData
Features which failed to demonstrate signal intensity of at least 3 fold greater in QC samples than in blanks were removed from the feature dataset. 6 of 48 features were removed.MSdata : 33 passed the CV filter
Features were filtered based on their qc sample CV values. Only features with CV vaules less than or equal to 0.5 in MSdata set were retained. 9 of 42 features were removed.Features were normalized by linearly regressing run order versus qc feature intensities to account for instrument signal intensity drift. Only features with a regression pvalue less than 0.05 and an r-squared greater than 0.1 were corrected. Of 42 features, 0 was corrected for run order effects.replaced 12 of 192 total feature values ( 6 % )
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 4 spectra
collapsing feature into spectral signal intensities
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 6 spectra
collapsing feature into spectral signal intensities
organizing dataset
replaced 0 of 609 total feature values ( 0 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 203 features into 22 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
[ FAIL 1 | WARN 10 | SKIP 4 | PASS 19 ]
══ Skipped tests (4) ═══════════════════════════════════════════════════════════
• xcms cannot be loaded (4): 'test-rc.get.xcms.data.R:2:3',
'test-stepwise-workflow.R:2:3', 'test-workflow-comparison.R:2:3',
'test.R:2:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-do.findmain.R:10:3'): RAMClustR do.findmain ──────────────────
`actual` not equal to `expected`.
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
[ FAIL 1 | WARN 10 | SKIP 4 | PASS 19 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.3.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [14s/19s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(RAMClustR)
>
> test_check("RAMClustR")
plotting findmain annotation results
finished
87.5% of features move forward
ma MSdata
df phenoData
Features which failed to demonstrate signal intensity of at least 3 fold greater in QC samples than in blanks were removed from the feature dataset. 6 of 48 features were removed.MSdata : 33 passed the CV filter
Features were filtered based on their qc sample CV values. Only features with CV vaules less than or equal to 0.5 in MSdata set were retained. 9 of 42 features were removed.Features were normalized by linearly regressing run order versus qc feature intensities to account for instrument signal intensity drift. Only features with a regression pvalue less than 0.05 and an r-squared greater than 0.1 were corrected. Of 42 features, 0 was corrected for run order effects.replaced 12 of 192 total feature values ( 6 % )
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 4 spectra
collapsing feature into spectral signal intensities
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 6 spectra
collapsing feature into spectral signal intensities
organizing dataset
replaced 0 of 609 total feature values ( 0 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 203 features into 22 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
[ FAIL 1 | WARN 10 | SKIP 4 | PASS 19 ]
══ Skipped tests (4) ═══════════════════════════════════════════════════════════
• xcms cannot be loaded (4): 'test-rc.get.xcms.data.R:2:3',
'test-stepwise-workflow.R:2:3', 'test-workflow-comparison.R:2:3',
'test.R:2:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-do.findmain.R:10:3'): RAMClustR do.findmain ──────────────────
`actual` not equal to `expected`.
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
[ FAIL 1 | WARN 10 | SKIP 4 | PASS 19 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.3.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [14s/35s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(RAMClustR)
>
> test_check("RAMClustR")
plotting findmain annotation results
finished
87.5% of features move forward
ma MSdata
df phenoData
Features which failed to demonstrate signal intensity of at least 3 fold greater in QC samples than in blanks were removed from the feature dataset. 6 of 48 features were removed.MSdata : 33 passed the CV filter
Features were filtered based on their qc sample CV values. Only features with CV vaules less than or equal to 0.5 in MSdata set were retained. 9 of 42 features were removed.Features were normalized by linearly regressing run order versus qc feature intensities to account for instrument signal intensity drift. Only features with a regression pvalue less than 0.05 and an r-squared greater than 0.1 were corrected. Of 42 features, 0 was corrected for run order effects.replaced 12 of 192 total feature values ( 6 % )
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 4 spectra
collapsing feature into spectral signal intensities
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 6 spectra
collapsing feature into spectral signal intensities
organizing dataset
replaced 0 of 609 total feature values ( 0 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 203 features into 22 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
[ FAIL 1 | WARN 10 | SKIP 4 | PASS 19 ]
══ Skipped tests (4) ═══════════════════════════════════════════════════════════
• xcms cannot be loaded (4): 'test-rc.get.xcms.data.R:2:3',
'test-stepwise-workflow.R:2:3', 'test-workflow-comparison.R:2:3',
'test.R:2:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-do.findmain.R:10:3'): RAMClustR do.findmain ──────────────────
`actual` not equal to `expected`.
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
[ FAIL 1 | WARN 10 | SKIP 4 | PASS 19 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 1.3.0
Check: tests
Result: ERROR
Running 'testthat.R' [45s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(RAMClustR)
>
> test_check("RAMClustR")
plotting findmain annotation results
finished
87.5% of features move forward
ma MSdata
df phenoData
Features which failed to demonstrate signal intensity of at least 3 fold greater in QC samples than in blanks were removed from the feature dataset. 6 of 48 features were removed.MSdata : 33 passed the CV filter
Features were filtered based on their qc sample CV values. Only features with CV vaules less than or equal to 0.5 in MSdata set were retained. 9 of 42 features were removed.Features were normalized by linearly regressing run order versus qc feature intensities to account for instrument signal intensity drift. Only features with a regression pvalue less than 0.05 and an r-squared greater than 0.1 were corrected. Of 42 features, 0 was corrected for run order effects.replaced 12 of 192 total feature values ( 6 % )
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 4 spectra
collapsing feature into spectral signal intensities
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 6 spectra
collapsing feature into spectral signal intensities
replaced 12 of 192 total feature values ( 6 % )
87.5% of features move forward
ma MSdata
df phenoData
Features which failed to demonstrate signal intensity of at least 3 fold greater in QC samples than in blanks were removed from the feature dataset. 6 of 48 features were removed.Features were normalized by linearly regressing run order versus qc feature intensities to account for instrument signal intensity drift. Only features with a regression pvalue less than 0.05 and an r-squared greater than 0.1 were corrected. Of 42 features, 0 was corrected for run order effects.MSdata : 33 passed the CV filter
Features were filtered based on their qc sample CV values. Only features with CV vaules less than or equal to 0.5 in MSdata set were retained. 9 of 42 features were removed.Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 4 spectra
collapsing feature into spectral signal intensities
plotting findmain annotation results
finished
organizing dataset
replaced 12 of 192 total feature values ( 6 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 48 features into 6 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
replaced 12 of 192 total feature values ( 6 % )
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 48 features into 6 spectra
collapsing feature into spectral signal intensities
organizing dataset
replaced 12 of 192 total feature values ( 6 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 48 features into 6 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
organizing dataset
replaced 0 of 609 total feature values ( 0 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 203 features into 22 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
[ FAIL 2 | WARN 27 | SKIP 0 | PASS 28 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-do.findmain.R:10:3'): RAMClustR do.findmain ──────────────────
`actual` not equal to `expected`.
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
── Failure ('test-stepwise-workflow.R:26:3'): RAMClustR workflow with xcms works ──
`actual` not equal to `expected`.
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
[ FAIL 2 | WARN 27 | SKIP 0 | PASS 28 ]
Error: Test failures
Execution halted
Flavor: r-devel-windows-x86_64
Version: 1.3.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [59s/68s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(RAMClustR)
>
> test_check("RAMClustR")
plotting findmain annotation results
finished
87.5% of features move forward
ma MSdata
df phenoData
Features which failed to demonstrate signal intensity of at least 3 fold greater in QC samples than in blanks were removed from the feature dataset. 6 of 48 features were removed.MSdata : 33 passed the CV filter
Features were filtered based on their qc sample CV values. Only features with CV vaules less than or equal to 0.5 in MSdata set were retained. 9 of 42 features were removed.Features were normalized by linearly regressing run order versus qc feature intensities to account for instrument signal intensity drift. Only features with a regression pvalue less than 0.05 and an r-squared greater than 0.1 were corrected. Of 42 features, 0 was corrected for run order effects.replaced 12 of 192 total feature values ( 6 % )
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 4 spectra
collapsing feature into spectral signal intensities
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 6 spectra
collapsing feature into spectral signal intensities
replaced 12 of 192 total feature values ( 6 % )
87.5% of features move forward
ma MSdata
df phenoData
Features which failed to demonstrate signal intensity of at least 3 fold greater in QC samples than in blanks were removed from the feature dataset. 6 of 48 features were removed.Features were normalized by linearly regressing run order versus qc feature intensities to account for instrument signal intensity drift. Only features with a regression pvalue less than 0.05 and an r-squared greater than 0.1 were corrected. Of 42 features, 0 was corrected for run order effects.MSdata : 33 passed the CV filter
Features were filtered based on their qc sample CV values. Only features with CV vaules less than or equal to 0.5 in MSdata set were retained. 9 of 42 features were removed.Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 4 spectra
collapsing feature into spectral signal intensities
plotting findmain annotation results
finished
organizing dataset
replaced 12 of 192 total feature values ( 6 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 48 features into 6 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
replaced 12 of 192 total feature values ( 6 % )
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 48 features into 6 spectra
collapsing feature into spectral signal intensities
organizing dataset
replaced 12 of 192 total feature values ( 6 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 48 features into 6 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
organizing dataset
replaced 0 of 609 total feature values ( 0 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 203 features into 22 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
[ FAIL 2 | WARN 26 | SKIP 0 | PASS 28 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-do.findmain.R:10:3'): RAMClustR do.findmain ──────────────────
`actual` not equal to `expected`.
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
── Failure ('test-stepwise-workflow.R:26:3'): RAMClustR workflow with xcms works ──
`actual` not equal to `expected`.
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
[ FAIL 2 | WARN 26 | SKIP 0 | PASS 28 ]
Error: Test failures
Execution halted
Flavor: r-patched-linux-x86_64
Version: 1.3.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [60s/76s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(RAMClustR)
>
> test_check("RAMClustR")
plotting findmain annotation results
finished
87.5% of features move forward
ma MSdata
df phenoData
Features which failed to demonstrate signal intensity of at least 3 fold greater in QC samples than in blanks were removed from the feature dataset. 6 of 48 features were removed.MSdata : 33 passed the CV filter
Features were filtered based on their qc sample CV values. Only features with CV vaules less than or equal to 0.5 in MSdata set were retained. 9 of 42 features were removed.Features were normalized by linearly regressing run order versus qc feature intensities to account for instrument signal intensity drift. Only features with a regression pvalue less than 0.05 and an r-squared greater than 0.1 were corrected. Of 42 features, 0 was corrected for run order effects.replaced 12 of 192 total feature values ( 6 % )
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 4 spectra
collapsing feature into spectral signal intensities
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 6 spectra
collapsing feature into spectral signal intensities
replaced 12 of 192 total feature values ( 6 % )
87.5% of features move forward
ma MSdata
df phenoData
Features which failed to demonstrate signal intensity of at least 3 fold greater in QC samples than in blanks were removed from the feature dataset. 6 of 48 features were removed.Features were normalized by linearly regressing run order versus qc feature intensities to account for instrument signal intensity drift. Only features with a regression pvalue less than 0.05 and an r-squared greater than 0.1 were corrected. Of 42 features, 0 was corrected for run order effects.MSdata : 33 passed the CV filter
Features were filtered based on their qc sample CV values. Only features with CV vaules less than or equal to 0.5 in MSdata set were retained. 9 of 42 features were removed.Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 4 spectra
collapsing feature into spectral signal intensities
plotting findmain annotation results
finished
organizing dataset
replaced 12 of 192 total feature values ( 6 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 48 features into 6 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
replaced 12 of 192 total feature values ( 6 % )
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 48 features into 6 spectra
collapsing feature into spectral signal intensities
organizing dataset
replaced 12 of 192 total feature values ( 6 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 48 features into 6 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
organizing dataset
replaced 0 of 609 total feature values ( 0 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 203 features into 22 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
[ FAIL 2 | WARN 26 | SKIP 0 | PASS 28 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-do.findmain.R:10:3'): RAMClustR do.findmain ──────────────────
`actual` not equal to `expected`.
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
── Failure ('test-stepwise-workflow.R:26:3'): RAMClustR workflow with xcms works ──
`actual` not equal to `expected`.
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
[ FAIL 2 | WARN 26 | SKIP 0 | PASS 28 ]
Error: Test failures
Execution halted
Flavor: r-release-linux-x86_64
Version: 1.3.0
Check: tests
Result: ERROR
Running 'testthat.R' [64s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(RAMClustR)
>
> test_check("RAMClustR")
plotting findmain annotation results
finished
87.5% of features move forward
ma MSdata
df phenoData
Features which failed to demonstrate signal intensity of at least 3 fold greater in QC samples than in blanks were removed from the feature dataset. 6 of 48 features were removed.MSdata : 33 passed the CV filter
Features were filtered based on their qc sample CV values. Only features with CV vaules less than or equal to 0.5 in MSdata set were retained. 9 of 42 features were removed.Features were normalized by linearly regressing run order versus qc feature intensities to account for instrument signal intensity drift. Only features with a regression pvalue less than 0.05 and an r-squared greater than 0.1 were corrected. Of 42 features, 0 was corrected for run order effects.replaced 12 of 192 total feature values ( 6 % )
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 4 spectra
collapsing feature into spectral signal intensities
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 6 spectra
collapsing feature into spectral signal intensities
replaced 12 of 192 total feature values ( 6 % )
87.5% of features move forward
ma MSdata
df phenoData
Features which failed to demonstrate signal intensity of at least 3 fold greater in QC samples than in blanks were removed from the feature dataset. 6 of 48 features were removed.Features were normalized by linearly regressing run order versus qc feature intensities to account for instrument signal intensity drift. Only features with a regression pvalue less than 0.05 and an r-squared greater than 0.1 were corrected. Of 42 features, 0 was corrected for run order effects.MSdata : 33 passed the CV filter
Features were filtered based on their qc sample CV values. Only features with CV vaules less than or equal to 0.5 in MSdata set were retained. 9 of 42 features were removed.Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 4 spectra
collapsing feature into spectral signal intensities
plotting findmain annotation results
finished
organizing dataset
replaced 12 of 192 total feature values ( 6 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 48 features into 6 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
replaced 12 of 192 total feature values ( 6 % )
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 48 features into 6 spectra
collapsing feature into spectral signal intensities
organizing dataset
replaced 12 of 192 total feature values ( 6 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 48 features into 6 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
organizing dataset
replaced 0 of 609 total feature values ( 0 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 203 features into 22 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
[ FAIL 2 | WARN 27 | SKIP 0 | PASS 28 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-do.findmain.R:10:3'): RAMClustR do.findmain ──────────────────
`actual` not equal to `expected`.
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
── Failure ('test-stepwise-workflow.R:26:3'): RAMClustR workflow with xcms works ──
`actual` not equal to `expected`.
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
[ FAIL 2 | WARN 27 | SKIP 0 | PASS 28 ]
Error: Test failures
Execution halted
Flavor: r-release-windows-x86_64
Version: 1.3.0
Check: tests
Result: ERROR
Running 'testthat.R' [59s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(RAMClustR)
>
> test_check("RAMClustR")
plotting findmain annotation results
finished
87.5% of features move forward
ma MSdata
df phenoData
Features which failed to demonstrate signal intensity of at least 3 fold greater in QC samples than in blanks were removed from the feature dataset. 6 of 48 features were removed.MSdata : 33 passed the CV filter
Features were filtered based on their qc sample CV values. Only features with CV vaules less than or equal to 0.5 in MSdata set were retained. 9 of 42 features were removed.Features were normalized by linearly regressing run order versus qc feature intensities to account for instrument signal intensity drift. Only features with a regression pvalue less than 0.05 and an r-squared greater than 0.1 were corrected. Of 42 features, 0 was corrected for run order effects.replaced 12 of 192 total feature values ( 6 % )
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 4 spectra
collapsing feature into spectral signal intensities
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 6 spectra
collapsing feature into spectral signal intensities
replaced 12 of 192 total feature values ( 6 % )
87.5% of features move forward
ma MSdata
df phenoData
Features which failed to demonstrate signal intensity of at least 3 fold greater in QC samples than in blanks were removed from the feature dataset. 6 of 48 features were removed.Features were normalized by linearly regressing run order versus qc feature intensities to account for instrument signal intensity drift. Only features with a regression pvalue less than 0.05 and an r-squared greater than 0.1 were corrected. Of 42 features, 0 was corrected for run order effects.MSdata : 33 passed the CV filter
Features were filtered based on their qc sample CV values. Only features with CV vaules less than or equal to 0.5 in MSdata set were retained. 9 of 42 features were removed.Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 33 features into 4 spectra
collapsing feature into spectral signal intensities
plotting findmain annotation results
finished
organizing dataset
replaced 12 of 192 total feature values ( 6 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 48 features into 6 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
replaced 12 of 192 total feature values ( 6 % )
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 48 features into 6 spectra
collapsing feature into spectral signal intensities
organizing dataset
replaced 12 of 192 total feature values ( 6 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 48 features into 6 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
organizing dataset
replaced 0 of 609 total feature values ( 0 % )
normalizing dataset
Calculating ramclustR similarity using 3 nblocks.
1
RAMClust feature similarity matrix calculated and stored.
fastcluster based clustering complete
dynamicTreeCut based pruning complete
RAMClust has condensed 203 features into 22 spectra
collapsing feature into spectral signal intensities
writing msp formatted spectra
msp file complete
[ FAIL 2 | WARN 27 | SKIP 0 | PASS 28 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-do.findmain.R:10:3'): RAMClustR do.findmain ──────────────────
`actual` not equal to `expected`.
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
── Failure ('test-stepwise-workflow.R:26:3'): RAMClustR workflow with xcms works ──
`actual` not equal to `expected`.
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 1: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 2: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 3: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": Modes: character, numeric > >
Component "M.ann.findmain": Component 4: Attributes: < Component "scores": Attributes: < Component "row.names": target is character, current is numeric > >
[ FAIL 2 | WARN 27 | SKIP 0 | PASS 28 ]
Error: Test failures
Execution halted
Flavor: r-oldrel-windows-x86_64