powered by
This function estimates a baseline using asymmetric least squares and subtracts it from the data.
baseline.corr(y, ...)
signal(s) to correct. This can be a vector (containing one signal) or a matrix of signals(one signal per row)
other arguments to the asysm function.
asysm
baseline corrected signal(s): a vector or a matrix of the same dimension as the input signal(s)
Eilers, P.H.C. (2004) "Parametric Time Warping", Analytical Chemistry, 76 (2), 404 -- 411.
# NOT RUN { data(gaschrom) plot(gaschrom[1,], type = "l", ylim = c(0, 100)) lines(baseline.corr(gaschrom[1,]), col = 2) # }
Run the code above in your browser using DataLab