pbooter {distillery} | R Documentation |

Creates sample statistics for several replicated samples derived by sampling from a parametric distribution.

```
pbooter(x, statistic, B, rmodel, rsize, v.terms, verbose = FALSE, ...)
```

`x` |
Original data set. If it is a vector, then it is assumed to be univariate. If it is a matrix, it is assumed to be multivariate where each column is a variate. |

`statistic` |
Function that minimally takes arguments: |

`B` |
number of bootstrap resamples to make. |

`rmodel` |
Function that generates the data to be applied to statistic. Must have arguments |

`rsize` |
Number giving the resample size for each bootstrap sample. If missing and |

`v.terms` |
If |

`verbose` |
logical, should progress information be printed to the screen? |

`...` |
Optional arguments to |

Similar functionality to `boot`

from boot when `sim`

= “parametric”. In this case, the function is a little simpler, and is intended for use with `ci.booted`

, or just `ci`

. It is similar to `booter`

, but uses parametric sampling instead of resampling from the original data.

A list object of class “booted” is returned with components:

`call ` |
the function call |

`data ` |
original data series |

`statistic ` |
statistic argument passed in |

`statistic.args` |
all other arguments passed by ... |

`B` |
Number of bootstrap replicate samples |

`v.terms` |
if variance terms are returned by statistic, the argument is repeated in the returned object. |

`rsize` |
the size of the bootstrap resamples. |

`rdata` |
rsize by B matrix giving the rmodel generated data. |

`v` |
B length vector or B column matrix (if statistic returns a vector) giving the estimated parameter variances for each bootstrap replicate. |

`orig.v` |
vector giving the parameter variances (i.e. se^2) of statistic when applied to the original data. |

`original.est` |
vector giving the estimated parameter values when statistic is applied to the original data. |

`results` |
B length vector or B column matrix giving the parameter estimates for each bootstrap resample. |

`type` |
character stating whether the resample method is iid or cbb. |

Eric Gilleland

Efron, B. and Tibshirani, R. J. (1998) *An Introduction to the Bootstrap*. Chapman \& Hall, Boca Raton, Florida, 436 pp.

```
z <- rnorm( 100 )
zfun <- function( data, ... ) {
return( c( mean( data ), var( data ), mean( data^2 ), var( data^2 ) ) )
} # end of 'zfun' function.
rfun <- function( size, ... ) rnorm( size, ... )
res <- pbooter( x = z, statistic = zfun, rmodel = rfun, B = 500,
rsize = 100, v.terms = c(2, 4) )
print( res )
## Not run: ci( res )
```

[Package *distillery* version 1.2-1 Index]