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MOQA (version 2.0.0)

Basic Quality Data Assurance for Epidemiological Research

Description

With the provision of several tools and templates the MOSAIC project (DFG-Grant Number HO 1937/2-1) supports the implementation of a central data management in epidemiological research projects. The 'MOQA' package enables epidemiologists with none or low experience in R to generate basic data quality reports for a wide range of application scenarios. See for more information. Please read and cite the corresponding open access publication (using the former package-name) in METHODS OF INFORMATION IN MEDICINE by M. Bialke, H. Rau, T. Schwaneberg, R. Walk, T. Bahls and W. Hoffmann (2017) . .

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Version

Install

install.packages('MOQA')

Monthly Downloads

171

Version

2.0.0

License

AGPL-3

Maintainer

Martin Bialke

Last Published

June 22nd, 2017

Functions in MOQA (2.0.0)

MOQA

MOQA
MOQA.env

MOQA.env
mosaic.createSimplePdfCategorical

createSimplePdfCategorical
mosaic.createSimplePdfCategoricalDataframe

createSimplePdfCategoricalDataframe
labelCounts

labelCounts
labelPercentage

labelPercentage
mosaic.createSimplePdfMetric

createSimplePdfMetric
mosaic.createSimplePdfMetricDataframe

createSimplePdfMetricDataframe
mosaic.generateMetricPlots

generateMetricPlots
mosaic.generateMetricTablePlot

generateMetricTablePlot
outputPrefix

outputPrefix
codelist

codelist
footnoteString

footnoteString
label_unit

label_unit
mosaic.addFootnote

addFootnote
mosaic.setGlobalCodelist

setGlobalCodelist
mosaic.setGlobalDescription

setGlobalDescription
mosaic.getTimestamp

getTimestamp
mosaic.importToolboxSpssDataFile

importToolboxSpssDataFile
mosaic.setGlobalMissingTreshold

setGlobalMissingTreshold
qualifiedMissingsTreshold

qualifiedMissingsTreshold
label_boxplot

label_boxplot
label_description

label_description
mosaic.beginPlot

beginPlot
mosaic.countValue

countValue
mosaic.info

info
mosaic.setGlobalUnit

setGlobalUnit
label_normalverteilung

label_normalverteilung
label_qnormplot

label_qnormplot
mosaic.finishPlot

finishPlot
mosaic.generateCategoricalPlot

generateCategoricalPlot
mosaic.preProcessCategoricalData

preProcessCategoricalData
mosaic.loadCsvData

loadCsvData
mosaic.preProcessMetricData

preProcessMetricData