Package: MSstatsQC 2.23.0

Eralp Dogu

MSstatsQC: Longitudinal system suitability monitoring and quality control for proteomic experiments

MSstatsQC is an R package which provides longitudinal system suitability monitoring and quality control tools for proteomic experiments.

Authors:Eralp Dogu [aut, cre], Sara Taheri [aut], Olga Vitek [aut]

# Install 'MSstatsQC' in R:

install.packages('MSstatsQC', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

On BioConductor:MSstatsQC-2.23.0(bioc 3.20)MSstatsQC-2.22.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 2 months agofrom:0aa68de533

Eralp DOGU [email protected], Sara TAHERI [email protected], Olga VITEK [email protected]

Last update: 2018-09-20
Started: 2017-06-20

Help page	Topics
A function to identify the time of a change in the mean or variability of a metric	ChangePointEstimator
A function to create cumulative sum charts for mean (CUSUMm) and cumulative sum charts for variability (CUSUMv) control charts	CUSUMChart
A data processing function	DataProcess
A function to create heatmaps to compare performance with user defined performance criteria	DecisionMap
A function to summarize missing values	MissingDataMap
A function to convert MSnbase files to MSstatsQC format	MSnbaseToMSstatsQC
DDA QC data from QCloud System	QCloudDDA
SRM QC data from QCloud System	QCloudSRM
DIA iRT data from QuiC System	QuiCDIA
A function to create radar plot to aggregate results from X and mR charts or CUSUMm and CUSUMv charts.	RadarPlot
A data processing function for removing missing values	RemoveMissing
A function to create river plot to aggregate results from X and mR charts or CUSUMm and CUSUMv charts.	RiverPlot
CPTAC study 9.1 site 54 dataset	S9Site54
A function to construct individual (X) and moving range (mR) control charts	XmRChart