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

dist_f_plot(num_df = 4, den_df = 30, normal = FALSE)
dist_f_perc(probs = 0.95, num_df = 3, den_df = 30, type = c("lower",
"upper"))
dist_f_prob(perc, num_df, den_df, type = c("lower", "upper"))

## Arguments

num_df |
Degrees of freedom associated with the numerator of f statistic. |

den_df |
Degrees of freedom associated with the denominator of f statistic. |

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

probs |
Probability value. |

type |
Lower tail or upper tail. |

perc |
Quantile value. |

## Value

Percentile for the `probs`

based on `num_df`

, `den_df`

and `type`

or probability value for `perc`

based on `num_df`

,
`den_df`

and `type`

.

## Deprecated functions

`f_plot()`

, `f_prob()`

and `f_per()`

have been deprecated.
Instead use `dist_f_plot()`

, `dist_f_prob()`

and
`dist_f_perc()`

.

## See also

`FDist`

## Examples

# visualize F distribution
dist_f_plot()

dist_f_plot(6, 10, normal = TRUE)

# visualize probability from a given quantile
dist_f_perc(0.95, 3, 30, 'lower')

dist_f_perc(0.125, 9, 35, 'upper')

# visualize quantiles out of given probability
dist_f_prob(2.35, 5, 32)

dist_f_prob(1.5222, 9, 35, type = "upper")