Description Usage Arguments Value Author(s) References See Also Examples
Parsers model output summary from TF framework and returns it in readable named vector format
1 | parserOutputTFSummary(linearRegressionOutput)
|
linearRegressionOutput |
linear regression output that comes from the TF method; mandatory argument |
Returns a named vector with 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", "test6_RR.csv", package="PhenStat")
test <- PhenStat:::PhenList(dataset=read.csv(file,na.strings = '-'),
testGenotype="Oxr1/Oxr1")
result <- PhenStat:::testDataset(test,
depVariable="Ca",
method="TF",
dataPointsThreshold=2)
linearRegressionOutput <- PhenStat:::analysisResults(result)
PhenStat:::parserOutputTFSummary(linearRegressionOutput)
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