Chi2(y, f[, sigmas])
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Chi2 - Goodness of Fit |
R2(y, f)
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R2 - Coefficient of determination |
average_deviation(y, f)
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chi2(y, f[, sigmas])
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Chi2 - Goodness of Fit |
fft(y)
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fft(y,t,sp,freq) = Compute the FFT of y. |
get_domain(f[, fmin, fmax, steps])
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Return the statistically probed domain of the function f. |
get_interesting_domain(f[, min_ch])
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Return interesting xmin and xmax of function f. |
is_monotone(f[, tmin, tmax, steps])
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Test if function f is monotone. |
mean(n)
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Return mean of n with combined error of variance and unvertainties of n. |
no_dist(N)
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Return N with no uncertainties. |
noisy(x[, mean, std])
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Add gaussian noise to x. |
normal(x[, mean, std])
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normalize(ydata)
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Return normalized ydata. |
novar_mean(n)
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Return mean of n with only the uncertainties of n and no variance. |
poisson_dist(N)
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Return N with added poissonian uncertainties. |
r2(y, f)
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R2 - Coefficient of determination |
round_sig(x[, sig])
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Round to sig significant digits. |
trim_domain(f[, fmin, fmax, steps, min_ch, ...])
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Get the domain of the function f with the ranges removed where the derivative of f is below min_ch. |
unv_lambda(f)
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Returns a function which applies unv() on the result of f. |