| Title: | Animated Normal Quantile-Quantile Plots |
|---|---|
| Description: | Presents an explanatory animation of normal quantile-quantile plots based on a water-filling analogy. The animation presents a normal QQ plot as the parametric plot of the water levels in vases defined by two distributions. The distributions decorate the axes in the normal QQ plot and are optionally shown as vases adjacent to the plot. The package draws QQ plots for several distributions, either as samples or continuous functions. |
| Authors: | Robert Stine |
| Maintainer: | Robert Stine <[email protected]> |
| License: | GPL-2 |
| Version: | 1.0.0 |
| Built: | 2025-02-15 04:39:51 UTC |
| Source: | https://github.com/cran/qqvases |
Constructs the default nested list of distribution functions used to animated normal QQ plots. By default, the list contains Normal Student t_3 Student t_6 Gamma(3) Beta(0.6,0.6) Exotic Each member of the list has 3 named elements [ d = density function (eg, dnorm) q = quantile function (eg, qnorm) r = random generator (eg, rnorm) ] Each of these functions must take a single argument; others must be bound externally. For examples, see the function make.normal.dist or make.t.dist.
make_df_list()make_df_list()
Named list of (density, quantile, generator) triples for distributions
make_df_list()make_df_list()
This function uses Shiny to open the default web browser. Graphical controls manipulate the construction of an interactive normal QQ plot.
qq_plot(data, step = 0.05, breaks = "FD")qq_plot(data, step = 0.05, breaks = "FD")
data |
Numerical data vector. |
step |
Stepsize used for Shiny slider (use larger values if animating with play button) |
breaks |
Passed to histogram for empirical distribution (default = "FD") |
None
## Not run: qq_plot(rnorm(50)) qq_plot(rnorm(50), step=0.05, breaks="Sturges") if(require("MASS", quietly=TRUE)){ qq_plot(geyser$waiting) } ## End(Not run)## Not run: qq_plot(rnorm(50)) qq_plot(rnorm(50), step=0.05, breaks="Sturges") if(require("MASS", quietly=TRUE)){ qq_plot(geyser$waiting) } ## End(Not run)
This function displays animated normal quantile-quantile plots. The software uses Shiny to open a window in the default installed web browser. Graphical controls in that window manipulate the construction of normal quantile plots. The display shows QQ plots for comparing either population distributions or samples of a chosen size. When samples are shown, the plot includes approximate 95
qq_vase_plot(draw.samples = TRUE, dists = make_df_list(), step = 0.05, breaks = "FD")qq_vase_plot(draw.samples = TRUE, dists = make_df_list(), step = 0.05, breaks = "FD")
draw.samples |
Set to true to allow optional samples from distributions |
dists |
Named list of (d=density, q=quantile, r=sample) distributions (see make_df_list()) |
step |
Stepsize used for animated slider (use larger values if animating with play button) |
breaks |
Passed to R histogram program to control number of bins in empirical distribution |
None
## Not run: # default qq_vase_plot() # suppress sampling option qq_vase_plot(FALSE) # add uniform distribution to dialog dists <- make_df_list() dists[["uniform"]] <- list(d=dunif, q=qunif, r=runif) qq_vase_plot(TRUE, dists) # smaller increments, change the method that determines breaks in histogram qq_vase_plot(TRUE, step=0.01, breaks=function(x) 2*sqrt(length(x))) ## End(Not run)## Not run: # default qq_vase_plot() # suppress sampling option qq_vase_plot(FALSE) # add uniform distribution to dialog dists <- make_df_list() dists[["uniform"]] <- list(d=dunif, q=qunif, r=runif) qq_vase_plot(TRUE, dists) # smaller increments, change the method that determines breaks in histogram qq_vase_plot(TRUE, step=0.01, breaks=function(x) 2*sqrt(length(x))) ## End(Not run)
This package displays an animation of a normal QQ plot. The animation links points in the plot to 'water levels' in vases whose shape is defined by probability distributions. Probability distributions placed along the plot axes gradually fill (become shaded) as a slider locates larger quantiles of the probability distributions. The reference distribution along the x-axis is the normal distribution. See the function qq_vase_plot for further information.
Opens the default web browser with a display of two continuous distributions shown side-by-side and reflected to suggest a closed container. Interactive options control the display of water levels and the choice of the shapes of the underlying distributions.
side_by_side_slider(name, dists = make_df_list())side_by_side_slider(name, dists = make_df_list())
name |
Name of distribution to contrast with normal |
dists |
Named list of (d=density, q=quantile, r=sample) distributions (see make_df_list()) |
None
## Not run: side_by_side_slider("Gamma") dists <- make_df_list() dists[["uniform"]] <- list(d=dunif, q=qunif, r=runif); side_by_side_slider("uniform", dists) ## End(Not run)## Not run: side_by_side_slider("Gamma") dists <- make_df_list() dists[["uniform"]] <- list(d=dunif, q=qunif, r=runif); side_by_side_slider("uniform", dists) ## End(Not run)