Module reservoirs::utils[][src]

Expand description

Basic utility functions, largely reinventing the wheel.

Functions

Anderson-Darling Two-Sample Test

Bootstrap a synthetic dataset from observed samples.

Estimate the cumulative distribution function (CDF) of a vector of observations.

Estimate the cumulative distribution function (CDF) of a vector of observations x, binned into bins number of obs to preserve memory on large vectors.

Appends one vector to another and generates the CDF of observations.

Returns the cdf given a pmf, implementing a cumulative sum over f64 values.

take the cdf of observations over a range of discrete values

Chi-squared goodness-of-fit test.

Convolve frequency distributions along an index of values.

Less convoluted convolution.

Generates expected values from a Poisson distribution for a single event envelope.

Goodness of fit test suite.

Produce integer-like index of f64 values from generic range.

Calculates the low point along y and returns the value of x at the low point.

Calculate the mean of a slice of f64 values.

Calculate the median of a slice of f64 values.

pmf from observations

Calculate the value of the CDF of obs at a given threshold thresh. Called by quantiles.

Calculate the quantiles for a box-and-whisker plot (2.5%, 25%, 50%, 75%, 97.5%).

Read data from csv file.

Write statistical results to csv file.

Timed wrapper for functions.