
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"))
Degrees of freedom associated with the numerator of f statistic.
Degrees of freedom associated with the denominator of f statistic.
If TRUE
, normal curve with same mean
and
sd
as the F distribution is drawn.
Probability value.
Lower tail or upper tail.
Quantile 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
.
f_plot()
, f_prob()
and f_per()
have been deprecated.
Instead use dist_f_plot()
, dist_f_prob()
and
dist_f_perc()
.
# NOT RUN {
# 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")
# }
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