ThresholdingAlgo {Autotuner} | R Documentation |
This function performs a sliding window analysis on the chromatograms in order to identify peaks within the data. I would recommend to keep influence low in order to use adjacent peak lengths as a measure of peak width.
ThresholdingAlgo(y, lag, threshold, influence)
y |
A numerical vector of measured chromatographic intensity values |
lag |
A scalar value of number of observations to calculate intensity prior to peak selection. |
threshold |
A number of standard deviations above chromatogram. Used to detect significantly observed peaks. |
influence |
A scalar values between 0-1 that describes how much the value of a peak (measured index value above threshold) should contribute to the sliding window analysis of downstream peaks. |
A list of calculated sliding window values.
lag <- 25 threshold<- 3.1 influence <- 0.1 Autotuner <- readRDS(system.file("extdata/Autotuner.rds", package="Autotuner")) signals <- lapply(getAutoIntensity(Autotuner), ThresholdingAlgo, lag, threshold, influence)