errsim: Simulate Autocorrelated Errors
In dalejbarr/autocorr: Autocorrelation toolkit for multilevel data

Simulate Autocorrelated Errors

1	errsim(n_obs, version)

n_obs

Number of simulated observations. Must be less than 275 (length of output from stat_gp() with gamma = 1, sigma = 1.)

version

An integer specifying the error autocorrelation case number; one of the following.

0: No autocorrelation (white noise).

\item{1}{Sine wave with fixed amplitude, varying phase, and white noise.}

\item{2}{Sine wave with fixed phase, varying amplitude, and white noise.}

\item{3}{Random walk, high frequency, generated using
  [stat_gp()] with gamma = 1 and sigma = 1.}
\item{4}{Random walk, mid frequency, generated using
  [stat_gp()] with gamma = 2 and sigma = 1.}

\item{5}{Multi-scale: combination of 1 and 3.}
\item{6}{Multi-scale: combination of 1 and 4.}
\item{7}{Multi-scale: combination of 2 and 3.}
\item{8}{Multi-scale: combination of 2 and 4.}

\item{9}{A wiggly function generated from
[mgcv::smooth.construct()], no error}

\item{10}{A wiggly function generated from
[mgcv::smooth.construct()], with 10 percent white noise}

\item{11}{Analogous to 1, but with a sawtooth pattern instead
of sine.}

\item{12}{Analogous to 2, but with a sawtooth pattern instead
of sine.}

\item{13}{Multi-scale: combination of 11 and 3.}
\item{14}{Multi-scale: combination of 11 and 4.}
\item{15}{Multi-scale: combination of 12 and 3.}
\item{16}{Multi-scale: combination of 12 and 4.}

A vector of simulated observations guaranteed to have a mean of 0 and a standard deviation of 1.

dalejbarr/autocorr documentation built on March 27, 2021, 3:03 a.m.