The class holds the current state of the moving expanding window (MEW) average

The user should never create, update or access an instance
of this class themselves. An instance of the class should be
created with the function `mewInit`

and updated with the
functions `mewAccum`

and `mewMean`

. The user can extract
the current value of the MEW average with the function
`mewGetMean`

, and print the first six elements of the mean
vector to the screen with either the `show`

or `print`

functions.

`i_new`

(scalar integer) The index of the bin to add the current sample to

`i_old`

(scalar integer) The index of the bin to deweight

`know_mean`

(scalar integer) flag 0: mean not known 1: mean known

`n_bin`

(scalar integer) The number of bins to use in the MEW process

`n_bin_use`

(scalar integer) The number of bins currently in use

`n_xx`

(scalar integer) The length of a vector in the sequence being averaged

`n_part`

(scalar integer) The number of samples in the bins that are not being added to or deweighted

`m_sample`

(vector integer length - n_bin) The maximum number of samples allowed in each of the bins

`n_sample`

(vector integer length - n_bin) The number of samples currently in each bin

`x_mean`

(vector double length - n_xx) The current value of the MEW average (which is up-to-date only if

`know_mean == 1`

)`x_sum_part`

(vector double length - n_xx) The sum in the bins not being added to or deweighted

`xx`

(matrix dimension - n_xx

*\times*n_bin) The bin sums`ff`

(scalar double) The fraction of samples to retain in the MEW average

`ww`

(scalar double) The factor of increase in the number of samples from one bin to the next

`a_sample`

(scalar double) The ideal number of samples in a bin (before rounding)

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.