Visualize how changes in degrees of freedom affect the shape of
the chi square distribution. Compute & visualize quantiles out of given
probability and probability from a given quantile.

dist_chi_plot(df = 3, normal = FALSE)
dist_chi_perc(probs = 0.95, df = 3, type = c("lower", "upper"))
dist_chi_prob(perc, df, type = c("lower", "upper"))

## Arguments

df |
Degrees of freedom. |

normal |
If `TRUE` , normal curve with same `mean` and
`sd` as the chi square distribution is drawn. |

probs |
Probability value. |

type |
Lower tail or upper tail. |

perc |
Quantile value. |

## Value

Percentile for the `probs`

based on `df`

and `type`

or
probability value for `perc`

based on `df`

and `type`

.

## Deprecated functions

`chi_plot()`

, `chi_prob()`

and `chi_per()`

have been
deprecated. Instead use `dist_chi_plot()`

, `dist_chi_prob()`

and
`dist_chi_perc()`

.

## See also

`Chisquare`

## Examples

# visualize chi square distribution
dist_chi_plot()

dist_chi_plot(df = 5)

dist_chi_plot(df = 5, normal = TRUE)

# visualize quantiles out of given probability
dist_chi_perc(0.165, 8, 'upper')

dist_chi_perc(0.22, 13, 'upper')

# visualize probability from a given quantile.
dist_chi_prob(13.58, 11, 'lower')

dist_chi_prob(15.72, 13, 'upper')