# ggpiestats

##### Pie charts with statistical tests

Pie charts for categorical data with statistical details included in the plot as a subtitle.

##### Usage

```
ggpiestats(data, main, condition = NULL, counts = NULL, ratio = NULL,
paired = FALSE, results.subtitle = TRUE, factor.levels = NULL,
stat.title = NULL, sample.size.label = TRUE,
label.separator = "\n", label.text.size = 4,
label.fill.color = "white", label.fill.alpha = 1,
bf.message = FALSE, sampling.plan = "indepMulti",
fixed.margin = "rows", prior.concentration = 1, title = NULL,
subtitle = NULL, caption = NULL, conf.level = 0.95, nboot = 100,
simulate.p.value = FALSE, B = 2000, legend.title = NULL,
facet.wrap.name = NULL, k = 2, perc.k = 0,
slice.label = "percentage", facet.proptest = TRUE,
ggtheme = ggplot2::theme_bw(), ggstatsplot.layer = TRUE,
package = "RColorBrewer", palette = "Dark2", direction = 1,
ggplot.component = NULL, messages = TRUE)
```

##### Arguments

- data
A dataframe (or a tibble) from which variables specified are to be taken. A matrix or tables will

**not**be accepted.- main
The variable to use as the

**rows**in the contingency table.- condition
The variable to use as the

**columns**in the contingency table.- counts
A string naming a variable in data containing counts, or

`NULL`

if each row represents a single observation (Default).- ratio
A vector of numbers: the expected proportions for the proportion test. Default is

`NULL`

, which means if there are two levels`ratio = c(1,1)`

, etc.- paired
Logical indicating whether data came from a within-subjects design study (Default:

`FALSE`

). If`TRUE`

, McNemar test subtitle will be returned. If`FALSE`

, Pearson's chi-square test will be returned.- results.subtitle
Decides whether the results of statistical tests are to be displayed as a subtitle (Default:

`TRUE`

). If set to`FALSE`

, only the plot will be returned.- factor.levels
A character vector with labels for factor levels of

`main`

variable.- stat.title
Title for the effect being investigated with the chi-square test. The default is

`NULL`

, i.e. no title will be added to describe the effect being shown. An example of a`stat.title`

argument will be something like`"main x condition"`

or`"interaction"`

.- sample.size.label
Logical that decides whether sample size information should be displayed for each level of the grouping variable

`condition`

(Default:`TRUE`

).- label.separator
If

`"both"`

counts and proportion information is to be displayed in a label, this argument decides whether these two pieces of information are going to be on the same line (`" "`

) or on separate lines (`"\n"`

).- label.text.size
Numeric that decides text size for slice/bar labels (Default:

`4`

).- label.fill.color
Character that specifies fill color for slice/bar labels (Default:

`white`

).- label.fill.alpha
Numeric that specifies fill color transparency or

`"alpha"`

for slice/bar labels (Default:`1`

range`0`

to`1`

).- bf.message
Logical that decides whether to display a caption with results from bayes factor test in favor of the null hypothesis (default:

`FALSE`

).- sampling.plan
Character describing the sampling plan. Possible options are

`"indepMulti"`

(independent multinomial; default),`"poisson"`

,`"jointMulti"`

(joint multinomial),`"hypergeom"`

(hypergeometric). For more, see`?BayesFactor::contingencyTableBF()`

.- fixed.margin
For the independent multinomial sampling plan, which margin is fixed (

`"rows"`

or`"cols"`

). Defaults to`"rows"`

.- prior.concentration
Specifies the prior concentration parameter, set to

`1`

by default. It indexes the expected deviation from the null hypothesis under the alternative, and corresponds to Gunel and Dickey's (1974)`"a"`

parameter.- title
The text for the plot title.

- subtitle
The text for the plot subtitle. Will work only if

`results.subtitle = FALSE`

.- caption
The text for the plot caption.

- conf.level
Scalar between 0 and 1. If unspecified, the defaults return

`95%`

lower and upper confidence intervals (`0.95`

).- nboot
Number of bootstrap samples for computing confidence interval for the effect size (Default:

`100`

).- simulate.p.value
a logical indicating whether to compute p-values by Monte Carlo simulation.

- B
an integer specifying the number of replicates used in the Monte Carlo test.

- legend.title
Title text for the legend.

- facet.wrap.name
The text for the facet_wrap variable label.

- k
Number of digits after decimal point (should be an integer) (Default:

`k = 2`

).- perc.k
Numeric that decides number of decimal places for percentage labels (Default:

`0`

).- slice.label
Character decides what information needs to be displayed on the label in each pie slice. Possible options are

`"percentage"`

(default),`"counts"`

,`"both"`

.- facet.proptest
Decides whether proportion test for

`main`

variable is to be carried out for each level of`condition`

(Default:`TRUE`

).- ggtheme
A function,

`ggplot2`

theme name. Default value is`ggplot2::theme_bw()`

. Any of the`ggplot2`

themes, or themes from extension packages are allowed (e.g.,`ggthemes::theme_fivethirtyeight()`

,`hrbrthemes::theme_ipsum_ps()`

, etc.).- ggstatsplot.layer
Logical that decides whether

`theme_ggstatsplot`

theme elements are to be displayed along with the selected`ggtheme`

(Default:`TRUE`

).- package
Name of package from which the palette is desired as string or symbol.

- palette
If a character string (e.g.,

`"Set1"`

), will use that named palette. If a number, will index into the list of palettes of appropriate type. Default palette is`"Dark2"`

.- direction
Either

`1`

or`-1`

. If`-1`

the palette will be reversed.- ggplot.component
A

`ggplot`

component to be added to the plot prepared by`ggstatsplot`

. This argument is primarily helpful for`grouped_`

variant of the current function. Default is`NULL`

. The argument should be entered as a function. If the given function has an argument`axes.range.restrict`

and if it has been set to`TRUE`

, the added ggplot component*might*not work as expected.- messages
Decides whether messages references, notes, and warnings are to be displayed (Default:

`TRUE`

).

##### Value

Unlike a number of statistical softwares, `ggstatsplot`

doesn't
provide the option for Yates' correction for the Pearson's chi-squared
statistic. This is due to compelling amount of Monte-Carlo simulation
research which suggests that the Yates' correction is overly conservative,
even in small sample sizes. As such it is recommended that it should not
ever be applied in practice (Camilli & Hopkins, 1978, 1979; Feinberg, 1980;
Larntz, 1978; Thompson, 1988).

##### References

https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggpiestats.html

##### Examples

```
# NOT RUN {
# for reproducibility
set.seed(123)
# simple function call with the defaults (without condition)
ggstatsplot::ggpiestats(
data = ggplot2::msleep,
main = vore,
perc.k = 1,
k = 2
)
# simple function call with the defaults (with condition)
ggstatsplot::ggpiestats(
data = datasets::mtcars,
main = vs,
condition = cyl,
bf.message = TRUE,
nboot = 10,
factor.levels = c("0 = V-shaped", "1 = straight"),
legend.title = "Engine"
)
# simple function call with the defaults (without condition; with count data)
library(jmv)
ggstatsplot::ggpiestats(
data = as.data.frame(HairEyeColor),
main = Eye,
counts = Freq
)
# }
```

*Documentation reproduced from package ggstatsplot, version 0.0.10, License: GPL-3 | file LICENSE*