Description Usage Arguments Author(s) See Also Examples
View source: R/visualize.continuous.R
Handles how continuous distributions are graphed. Users should not use this
function. Instead, users should use visualize.it()
.
1 | visualize.continuous(dist, stat = c(0, 1), params, section = "lower")
|
dist |
contains the distribution from
|
stat |
a statistic to obtain the probability from. When using the
"bounded" condition, you must supply the parameter as |
params |
A list that must contain the necessary parameters for each
distribution. For example, |
section |
Select how you want the statistic(s) evaluated via
|
James Balamuta
visualize.it()
, visualize.beta()
,
visualize.chisq()
, visualize.exp()
,
visualize.gamma()
, visualize.norm()
,
visualize.unif()
, visualize.cauchy()
*,
visualize.f()
*, visualize.lnorm()
*,
visualize.t()
*, visualize.wilcox()
*,
visualize.logis()
*.
* = added in v2.0.
1 2 | # Function does not have dist look up, must go through visualize.it
visualize.it(dist='norm', stat = c(0,1), params = list(mu = 1, sd = 1), section = "bounded")
|
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