rvgtest (version 0.7.2)

rvgt.chisq: Perform Chi-Square goodness-of-fit Test on RVG Frequency Table

Description

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

Usage

rvgt.chisq(ftable)

Arguments

ftable

object of class "rvgt.ftable".

Value

• An object of class "rvgt.htest" which is a list with components:
• type
  character string containing type of test; equals "chisqu".
• n
  sample size for every row in ftable.
• rep
  number of rows in ftable.
• breaks
  number of break points in ftable (i.e., number of bins + 1).
• pval
  vector of p-values.

Details

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.

See Also

See plot.rvgt.htest for the syntax of the plotting method.

Examples

## 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)