stftcalc calculating the short time fourier transform component
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win |
Window size in number of recordings to use. |
inc |
increment size from one window to the next |
coef |
Number of fourier frequencies to compute. Small values will remove the higher frequencies from the processed object. Defaults to the maximum, win/2. |
wtype |
Window type for the STFT calculation. |
freq |
frequency of dataset. If missing and length(time) > 1, freq =(length(time) -1) /( max(time) - min(time) ) If just missing, freq = 1 |
centre |
If TRUE (Default), centre the data in each window before processing is done. Useful for avoiding excessively large DC offset coefficients in results. |
calc.null |
If TRUE (Defaults to FALSE), compute a 'null' STFT by resampling the data completely, then doing a STFT. |
pvalues |
If TRUE (Defaults to FALSE) Compute bootstrapped pvalues for each position by resampling within each window and applying a wilcox test. |
time |
Allows the user to set an overriding timestamp vector to be used for processing. |
reassign |
logical. If TRUE, compute the time-reassigned STFT. For type %in% c("mv", "sum"), this is done with the first coordinate in mv.indices. |
quiet |
If TRUE, suppress output. |
x |
The dataset to be processed |
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