From 352f53fd31932504f1371afb569f2b28df3cb41d Mon Sep 17 00:00:00 2001 From: coatless Date: Mon, 13 Nov 2023 04:08:16 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20coatless?= =?UTF-8?q?-rpkg/visualize@f6199eb406bbc26bbc3134e72077b635d73a02fa=20?= =?UTF-8?q?=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- index.html | 15 +++--- pkgdown.yml | 2 +- reference/index.html | 112 +++++++++++++++++++++++++++---------------- search.json | 2 +- 4 files changed, 79 insertions(+), 52 deletions(-) diff --git a/index.html b/index.html index caf3a0a..090fff3 100644 --- a/index.html +++ b/index.html @@ -97,13 +97,11 @@

Examplesvisualize.norm(1.96) 

-
-# Change the location of the tail
+# Change the location of the tail
 visualize.norm(1.96, section = "upper")

-
-# Shift the mean and create a bounded range.
+# Shift the mean and create a bounded range.
 visualize.norm(c(-1.96, 1.96), section = "bounded")

The parameters of the distribution can also be modified. Take for example the Binomial distribution.

@@ -111,21 +109,22 @@

Examplesvisualize.binom(stat = 9, size = 20, p = 0.5) 

-
+# Visualize the binominal distribution with a higher size and lower probability.
 visualize.binom(stat = 9, size = 24, p = 0.25)

Discrete distributions can also handle a level of strict (<, >) or equal to (<=, >=) inequality.

-visualize.pois(stat = c(4, 6), lambda = 3.5, section = "bounded",
+# Create a strict inequality (lower < x < higher)
+visualize.pois(stat = c(4, 6), lambda = 3.5, section = "bounded",
   strict = c(TRUE, TRUE))

-
+# Allow for equality on either side only on the right side of the bounded region.
 visualize.pois(stat = c(4, 6), lambda = 3.5, section = "bounded",
   strict = c(TRUE, FALSE))

-
+# Allow for equality on either side of the inequality (lower <= x <= higher)
 visualize.pois(stat = c(4, 6), lambda = 3.5, section = "bounded",
   strict = c(FALSE, FALSE))

diff --git a/pkgdown.yml b/pkgdown.yml index ce54696..7ec410a 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -2,7 +2,7 @@ pandoc: 2.19.2 pkgdown: 2.0.7 pkgdown_sha: ~ articles: {} -last_built: 2023-11-13T03:41Z +last_built: 2023-11-13T04:08Z urls: reference: http://r-pkg.thecoatlessprofessor.com/visualize/reference article: http://r-pkg.thecoatlessprofessor.com/visualize/articles diff --git a/reference/index.html b/reference/index.html index e18fbf7..d9bc6cc 100644 --- a/reference/index.html +++ b/reference/index.html @@ -44,9 +44,9 @@
-

All functions

- +

Continuous Distributions

+

Visualize Distributions that are Continuous

@@ -56,44 +56,39 @@

All functionsvisualize visualize-package - -
visualize: Graph Probability Distributions with User Supplied Parameters and Statistics
-
- visualize.beta()
Visualize Beta Distribution
- visualize.binom() + visualize.chisq()
-
Visualize Binomial Distribution
+
Visualize Chi-squared Distribution
- visualize.cauchy() + visualize.exp()
-
Visualize Cauchy Distribution
+
Visualize Exponential Distribution
- visualize.chisq() + visualize.gamma()
-
Visualize Chi-squared Distribution
+
Visualize Gamma Distribution
- visualize.continuous() + visualize.norm()
-
Graphing function for Continuous Distributions.
+
Visualize Normal Distribution
- visualize.discrete() + visualize.unif()
-
Graphing function for Discrete Distributions.
+
Visualize Uniform Distribution
- visualize.exp() + visualize.cauchy()
-
Visualize Exponential Distribution
+
Visualize Cauchy Distribution
visualize.f() @@ -101,44 +96,60 @@

All functionsvisualize.gamma() + visualize.lnorm()

-
Visualize Gamma Distribution
+
Visualize Log Normal Distribution
- visualize.geom() + visualize.t()
-
Visualize Geometric Distribution
+
Visualize Student's t distribution
- visualize.hyper() + visualize.wilcox()
-
Visualize Hypergeometric Distribution
+
Visualize Cauchy Distribution
- visualize.it() + visualize.logis()
-
Visualize's Processing Function
+
Visualize Logistic distribution
- visualize.lnorm() + visualize.continuous()
-
Visualize Log Normal Distribution
+
Graphing function for Continuous Distributions.
+

+ +

Discrete Distributions

+

Visualize Distributions that are Discrete

+ + +
+ + + + +
+ + visualize.binom() +
+
Visualize Binomial Distribution
- visualize.logis() + visualize.geom()
-
Visualize Logistic distribution
+
Visualize Geometric Distribution
- visualize.nbinom() + visualize.hyper()
-
Visualize Negative Binomial Distribution
+
Visualize Hypergeometric Distribution
- visualize.norm() + visualize.nbinom()
-
Visualize Normal Distribution
+
Visualize Negative Binomial Distribution
visualize.pois() @@ -146,21 +157,38 @@

All functionsvisualize.t() + visualize.discrete()

-
Visualize Student's t distribution
+
Graphing function for Discrete Distributions.
+
+ +

Low-level graph functions

+

Underlying functions that power graphing for the package.

+ + +
+ + + + +
+ + visualize.continuous() +
+
Graphing function for Continuous Distributions.
- visualize.unif() + visualize.discrete()
-
Visualize Uniform Distribution
+
Graphing function for Discrete Distributions.
- visualize.wilcox() + visualize.it()
-
Visualize Cauchy Distribution
+
Visualize's Processing Function
- +