Description Usage Arguments Details Value Author(s) See Also Examples

Perform achi-square goodness-of-fit test on the RVG frequency table.

1 |

`ftable` |
object of class |

`rvgt.chisq`

performs aa chi-square goodness-of-fit test
on the bin counts of the RVG frequency tables created by means of
`rvgt.ftable`

.
The null hypothesis is that the bin counts are distributed according
to the expected probabilities (i.e., proportional to the lengths of
the histogram cells).

If the `ftable`

contains the bin counts for more than one
repetitions then the test is repeated with column sums of increasing
number of rows which corresponds to increasing sampling sizes.
This allows for getting an idea of the power of the test.

An object of class `"rvgt.htest"`

which is a list with components:

`type` |
character string containing type of test;
equals |

`n` |
sample size for every row in |

`rep` |
number of rows in |

`breaks` |
number of break points in |

`pval` |
vector of p-values. |

Sougata Chaudhuri [email protected], Josef Leydold [email protected]

See `plot.rvgt.htest`

for the syntax of the plotting
method.

1 2 3 4 5 6 7 8 9 10 | ```
## Create a frequency table for normal distribution and
## conduct a chi-square goodness-of-fit test on this data.
## Use a sample of size of 5 times 10^5 random variates.
table <- rvgt.ftable(n=1e5,rep=5, rdist=rnorm,qdist=qnorm, mean=1,sd=2)
## Perform test
result <- rvgt.chisq(table)
## Plot result
plot(result)
``` |

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