This function finds significant discontinuities in Frequency Magnitude Distributions (FMD).
fmddisc(file, header = FALSE, colid = 1, nrep = 200, title = "fmddisc")
This function reads magnitude values in the field which number is indicated by
file. The function returns values of significant magnitude discontinuities (e. g. deviations from linearity) in the FMD. A bootstrap procedure is used to obtain the 90% confidence interval for magnitude discontinuities. We assumed the distribution of the
nrep bootstrap replicates is not skewed. Therefore, the 90% confidence interval is simply formed by taking 5% and 95% quantiles of the bootstrap replicates as the lower and upper bound of the interval respectively. These values and the 50% quantile (median) are returned in a list by the function. The function also returns bootstrap mean and bootstrap standard-error (standard deviation of bootstrap replicate estimates). The bootstrap margin of errors at the 90% normal confidence level is returned as the result of 1.645 \* bootstrap standard-error. The function produces a plot showing the FMD and histograms of magnitude values for the significant discontinuities in the FMD. The plot is stored into a file with name
file\_disc.png (png format file). Values of counts in histograms are controlled by the number of replicates
nrep that are used.
This function returns a list containing the following components:
- the 5%, 50% and 95% quantiles of the bootstrap replicates for the main discontinuity
- the numbers of valid replicates
- the bootstrap mean values
- the bootstrap standard-error values
- the bootstrap margin of errors values
- the 5%, 50% and 95% quantiles of the bootstrap replicates for the auxiliary discontinuity
D. Amorese, "Applying a change-point detection method on frequency-magnitude distributions", Bull. seism. Soc. Am. (2007) 97, doi:10.1785\/0120060181
Documentation reproduced from package GRTo, version 1.1. License: GPL