Quality control for time course profiles
Description
Function to calculate filter ratios of trajectories.
Usage
1  investNoise(data, time, sampleID, log, numCores)

Arguments
data 

time 

sampleID 

log 

numCores 
alternative 
Details
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.
Value
investNoise returns an object of class noise
containing the following components:
name 

RT 

RI 

propMissing 

foldChange 

References
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.
See Also
summary.noise
, plot.noise
, filterNoise
Examples
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)
