Description Usage Arguments Details Value References See Also Examples
Function to calculate filter ratios of trajectories.
1 | investNoise(data, time, sampleID, log, numCores)
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data |
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time |
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sampleID |
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log |
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numCores |
alternative |
investNoise calculates filter ratios R_T and R_I based on the time, individual and overall standard deviation as proposed by Straube et al. 2015.
investNoise returns an object of class noise
containing the following components:
name |
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RT |
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RI |
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propMissing |
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foldChange |
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Straube J., Gorse D., Huang B.E., Le Cao K.-A. (2015). A linear mixed model spline framework for analyzing time course 'omics' data PLOSONE, 10(8), e0134540.
summary.noise
, plot.noise
, filterNoise
1 2 3 4 5 6 7 8 | ## Not run:
data(kidneySimTimeGroup)
G1 <- kidneySimTimeGroup$group=="G1"
noiseTest <-investNoise(data=kidneySimTimeGroup$data[G1,],time=kidneySimTimeGroup$time[G1],
sampleID=kidneySimTimeGroup$sampleID[G1])
summary(noiseTest)
plot(noiseTest,colorBy="propMissing")
## End(Not run)
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