diffAdats()
generates 'all-passing' output with equal ADATsCode
diffAdats(adat, adat)
Output
== Checking ADAT attributes & characteristics ==================================
Message
> Attribute names are identical v
> Attributes are identical v
> ADAT dimensions are identical v
> ADAT row names are identical v
> ADATs contain identical Features v
> ADATs contain same Meta Fields v
Output
-- Checking the data matrix ----------------------------------------------------
Message
> All Clinical data is identical v
> All Feature data is identical v
Output
================================================================================
diffAdats()
generates correct output with 1 analyte missingCode
diffAdats(adat, adat[, -9L])
Output
== Checking ADAT attributes & characteristics ==================================
Message
> Attribute names are identical v
> Attributes are identical x
> ADAT dimensions are identical x
> ADATs have same # of rows v
> ADATs have same # of columns x
> ADATs have same # of features x
> ADATs have same # of meta data v
> ADAT row names are identical v
> ADATs contain identical Features x
> ADATs contain same Meta Fields v
Output
Features in 'adat' but not 'adat[, -9L]':
seq.3333.33
Message
v Continuing on the "*INTERSECT*" of ADAT columns
Output
-- Checking the data matrix ----------------------------------------------------
Message
> All Clinical data is identical v
> All Feature data is identical v
Output
================================================================================
diffAdats()
generates correct output with 1 clin variable missingCode
diffAdats(adat, adat[, -3L])
Output
== Checking ADAT attributes & characteristics ==================================
Message
> Attribute names are identical v
> Attributes are identical x
> ADAT dimensions are identical x
> ADATs have same # of rows v
> ADATs have same # of columns x
> ADATs have same # of features v
> ADATs have same # of meta data x
> ADAT row names are identical v
> ADATs contain identical Features v
> ADATs contain same Meta Fields x
Output
Meta data in 'adat' but not 'adat[, -3L]':
Subarray
Message
v Continuing on the "*INTERSECT*" of ADAT columns
Output
-- Checking the data matrix ----------------------------------------------------
Message
> All Clinical data is identical v
> All Feature data is identical v
Output
================================================================================
diffAdats()
generates correct output with 1 clin variable addedCode
diffAdats(adat, new)
Output
== Checking ADAT attributes & characteristics ==================================
Message
> Attribute names are identical v
> Attributes are identical x
> ADAT dimensions are identical x
> ADATs have same # of rows v
> ADATs have same # of columns x
> ADATs have same # of features v
> ADATs have same # of meta data x
> ADAT row names are identical v
> ADATs contain identical Features v
> ADATs contain same Meta Fields x
Output
Meta data in 'new' but not 'adat':
foo
Message
v Continuing on the "*INTERSECT*" of ADAT columns
Output
-- Checking the data matrix ----------------------------------------------------
Message
> All Clinical data is identical v
> All Feature data is identical v
Output
================================================================================
diffAdats()
generates correct output with 1 variable changedCode
diffAdats(adat, dplyr::mutate(adat, Subarray = rev(Subarray)))
Output
== Checking ADAT attributes & characteristics ==================================
Message
> Attribute names are identical v
> Attributes are identical v
> ADAT dimensions are identical v
> ADAT row names are identical v
> ADATs contain identical Features v
> ADATs contain same Meta Fields v
Output
-- Checking the data matrix ----------------------------------------------------
Message
> All Clinical data is identical x
Output
No. fields that differ 1
-- Clinical data diffs ---------------------------------------------------------
[1] "'Subarray'"
Message
> All Feature data is identical v
Output
================================================================================
diffAdats()
generates correct output 2 random values changedCode
diffAdats(adat, new)
Output
== Checking ADAT attributes & characteristics ==================================
Message
> Attribute names are identical v
> Attributes are identical v
> ADAT dimensions are identical v
> ADAT row names are identical v
> ADATs contain identical Features v
> ADATs contain same Meta Fields v
Output
-- Checking the data matrix ----------------------------------------------------
Message
> All Clinical data is identical v
> All Feature data is identical x
Output
No. fields that differ 2
-- Feature data diffs ----------------------------------------------------------
[1] "'seq.1234.56', 'seq.9898.99'"
================================================================================
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