This is the command gbmodes that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator
PROGRAM:
NAME
gbmodes - Analyze multimodality in univariate data
SYNOPSIS
gbmodes [options]
DESCRIPTION
Multimodality analysis via kernel density estimation. Compute the maximal kernel bandwidth
h_c(M) for which #(modes in the estimated density)>M.The significance of h_c is computed
via smoothed bootstrap. Read data from std. input. Print the couple h_c p(h_c) and the
modal values (set with -O).
OPTIONS
-n number of equispaced points where the density is computed (default 100)
-m number of modes (default 1)
-r search range for modes; comma separated couple 'data_min,data_max'
-s scale the search range to [min*s+(1-s)*Max,Max*s+(1-s)*min] (default 1)
-e relative tolerance on h_c value (default 1e-6)
-S significance level (for Hall-York correction) (default .05)
-t number of bootstrap trials used for significance computation (default 1000)
-R RNG seed for bootstrap trials (default 0)
-K choose the kernel to use: 0 Gaussian or 1 Laplacian (default 0)
-v verbose mode (more verbose if provided 2 times)
-O output type (default 0)
0 h_c p(h_c) [modes locations]
1 h_c [modes locations and heights]
-F specify the input fields separators (default " \t")
-h this help
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