make.response.mat: Converts a vector into a matrix where each column is a moving...
In pnnl/qFeature: Extract Features from Continuous or Discrete Time Series

Converts a vector into a matrix where each column is a moving window

1	make.response.mat(X, bw = 5)

`X`	The vector to be processed
`bw`	The bandwidth of the moving window, where the length of the moving window is `2*bw + 1`.

Near the beginning and end of the series, the moving window is padded with NA's as necessary.

This function is not exported and is used only by fitQslow, which, in turn, exists for validation of fitQ.

A matrix, where each column contains the elements of the progressing moving window across X.

Landon Sego

This function is used in fitQslow

pnnl/qFeature documentation built on May 25, 2019, 10:22 a.m.

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