Description Usage Arguments Value Author(s) References See Also Examples
View source: R/LogisticFramework.R
Parsers model output summary and returns it in readable named vector format
1 | parserOutputSummaryLR(linearRegressionOutput)
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linearRegressionOutput |
linear regression output that comes from the MM methods; mandatory argument |
Returns a named vector with logistic regression model output summary results
Natalja Kurbatova, Natasha Karp, Jeremy Mason
Karp N, Melvin D, Sanger Mouse Genetics Project, Mott R (2012): Robust and Sensitive Analysis of Mouse Knockout Phenotypes. PLoS ONE 7(12): e52410. doi:10.1371/journal.pone.0052410
West B, Welch K, Galecki A (2007): Linear Mixed Models: A practical guide using statistical software New York: Chapman & Hall/CRC 353 p.
1 2 3 4 5 6 7 8 9 | file <- system.file("extdata", "testLR.csv", package="PhenStat")
testLR <- PhenStat:::PhenList(dataset=read.csv(file,na.strings = '-'),
testGenotype="Mock")
testLR2 <- PhenStat:::LRDataset(testLR,"V2")
resultLR <- PhenStat:::testDataset(testLR2,
depVariable="V2",
method="LR")
linearRegressionOutput <- PhenStat:::analysisResults(resultLR)
PhenStat:::parserOutputSummaryLR(linearRegressionOutput)
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