Learn R Programming

seqinr (version 3.4-5)

baselineabif: Estimation of baseline value

Description

This function tries to estimate the baseline value for RFU data from capillary electrophoresis whith the heuristic that the most common value is the baseline.

Usage

baselineabif(rfu, maxrfu = 1000)

Arguments

rfu

a numeric vector of signal value

maxrfu

signal values greater or equal to maxrfu are forced to NA

Value

A single numeric value for the estimated baseline.

See Also

JLO for a dataset example, plotabif to plot this kind of data, peakabif to estimate peak parameters.

Examples

Run this code
# NOT RUN {
data(JLO)
rfu <- JLO$Data$DATA.1
bl <- baselineabif(rfu)
plot(1:length(rfu), rfu, type = "l", 
  xlab = "Time [datapoint units]",
  ylab = "Signal [RFU]",
  main = "Example of baseline estimates")
abline(h = bl, col="red", lty = 2)
legend("topright", inset = 0.02, "Baseline estimate", lty = 2, col = "red")
# }

Run the code above in your browser using DataLab