-
Removed
aberHRML/metaboData
from the Remotes field in the DESCRIPTION to ensure that the CRAN version of metaboData is installed. -
Added
sanitiseTable()
that can be used to restrict the number of rows in a table and round numeric columns to a given number of significant figures.
- Fixed missing argument error in
detectPretreatmentParameters()
when miss injections are detected.
- Added
gzip_ext
argument toconvertSampleInfo()
to enable the addition of the.gz
file extension to file names in thefileNames
column.
- Added
exportModelling()
method for theAnalysis
class.
-
Added generic methods for exporting individual elements of the
Binalysis
,MetaboProfile
,Analysis
andAssignment
classes. -
export
methods now return vectors of file paths of the exported files.
-
Added
addAssignments()
method forAnalysis
andAssignment
classes. -
Added
exportCSV()
that exports data to .csv format and returns the file path of the exported file. -
Added
convertSampleInfo()
to convert sample information returned fromgrover::runInfo
to a format compatible with thebinneR
andprofilePro
packages.
- Fixed error in
detectPretreatmentParameters()
.
-
Added
pkgdown
site available here. -
Removed redundant methods and functions:
detectPairwises()
,addAssignments()
,filterCorrelations()
,theme_neat()
. -
Improved documentation and added examples.
-
Added unit testing infrastructure.
-
Added
detectPretreatmentParameters
anddetectModellingParameters
methods. -
The
magrittr
pipe (%>%
) is now re-exported.
- Fixed parameter handling in
preTreatModes
.
- Fixed breakages and function imports caused by
metabolyseR
to version 0.14.0.
- Fixed
binneR::sampleInfo()
imports with binneR v2.5.0 update.
- Fixed missing method exports for
metaboMisc::addAssignments()
,metaboMisc::detectBatchDiff()
,metaboMisc::detectMissInjections()
,metaboMisc::detectPairwises()
andmetaboMisc::reduce()
.
- Added
metaboMisc::featureSummary()
to summarise spectral features in theBinalysis
S4 class.
-
Added a
NEWS.md
file to track changes to the package. -
Added
metaboMisc::suitableParallelPlan()
to generate a suitable parallel processingfuture
plan.