Visualization of a correlation matrix
ggcorrmat(
data,
cor.vars = NULL,
cor.vars.names = NULL,
output = "plot",
matrix.type = "full",
method = "square",
type = "parametric",
beta = 0.1,
k = 2L,
sig.level = 0.05,
conf.level = 0.95,
bf.prior = 0.707,
p.adjust.method = "none",
pch = 4,
ggcorrplot.args = list(outline.color = "black"),
package = "RColorBrewer",
palette = "Dark2",
colors = c("#E69F00", "white", "#009E73"),
ggtheme = ggplot2::theme_bw(),
ggstatsplot.layer = TRUE,
ggplot.component = NULL,
title = NULL,
subtitle = NULL,
caption = NULL,
messages = TRUE,
...
)Dataframe from which variables specified are preferentially to be taken.
List of variables for which the correlation matrix is to be
computed and visualized. If NULL (default), all numeric variables from
data will be used.
Optional list of names to be used for cor.vars. The
names should be entered in the same order.
Character that decides expected output from this function. If
"plot", the visualization matrix will be returned. If "dataframe" (or
literally anything other than "plot"), a dataframe containing all details
from statistical analyses (e.g., correlation coefficients, statistic
values, p-values, no. of observations, etc.) will be returned.
Character, "full" (default), "upper" or "lower",
display full matrix, lower triangular or upper triangular matrix.
character, the visualization method of correlation matrix to be used. Allowed values are "square" (default), "circle".
Type of association between paired samples required
(""parametric": Pearson's product moment correlation coefficient" or
""nonparametric": Spearman's rho" or ""robust": percentage bend
correlation coefficient" or ""bayes": Bayes Factor for Pearson's r").
Corresponding abbreviations are also accepted: "p" (for
parametric/pearson's), "np" (nonparametric/spearman), "r" (robust),
"bf" (for bayes factor), resp.
bending constant (Default: 0.1). For more, see ?WRS2::pbcor.
Number of digits after decimal point (should be an integer)
(Default: k = 2).
Significance level (Default: 0.05). If the p-value in
p-value matrix is bigger than sig.level, then the corresponding
correlation coefficient is regarded as insignificant and flagged as such in
the plot. Relevant only when output = "plot".
Scalar between 0 and 1. If unspecified, the defaults return
95% lower and upper confidence intervals (0.95).
A number between 0.5 and 2 (default 0.707), the prior
width to use in calculating Bayes factors.
What adjustment for multiple tests should be used?
("holm", "hochberg", "hommel", "bonferroni", "BH", "BY",
"fdr", "none"). See stats::p.adjust for details about why to use
"holm" rather than "bonferroni"). Default is "none". If adjusted
p-values are displayed in the visualization of correlation matrix, the
adjusted p-values will be used for the upper triangle, while
unadjusted p-values will be used for the lower triangle of the
matrix.
Decides the glyphs (or point shapes) to be used for
insignificant correlation coefficients (only valid when insig = "pch").
Default value is pch = 4.
A list of additional (mostly aesthetic) arguments that
will be passed to ggcorrplot::ggcorrplot function. The list should avoid
any of the following arguments since they are already internally being used
by ggstatsplot: corr, method, p.mat, sig.level, ggtheme,
colors, matrix.type, lab, pch, legend.title, digits.
Name of package from which the palette is desired as string or symbol.
Name of palette as string or symbol.
A vector of 3 colors for low, mid, and high correlation values.
If set to NULL, manual specification of colors will be turned off and 3
colors from the specified palette from package will be selected.
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.).
Logical that decides whether theme_ggstatsplot
theme elements are to be displayed along with the selected ggtheme
(Default: TRUE). theme_ggstatsplot is an opinionated theme layer that
override some aspects of the selected ggtheme.
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.
The text for the plot title.
The text for the plot subtitle. Will work only if
results.subtitle = FALSE.
The text for the plot caption. If NULL, a default caption
will be shown.
Decides whether messages references, notes, and warnings are
to be displayed (Default: TRUE).
Currently ignored.
Correlation matrix plot or a dataframe containing results from
pairwise correlation tests. The package internally uses
ggcorrplot::ggcorrplot for creating the visualization matrix, while the
correlation analysis is carried out using the correlation::correlation
function.
https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggcorrmat.html
# NOT RUN {
# for reproducibility
set.seed(123)
# if `cor.vars` not specified, all numeric variables used
ggstatsplot::ggcorrmat(iris)
# to get the correlalogram
# note that the function will run even if the vector with variable names is
# not of same length as the number of variables
ggstatsplot::ggcorrmat(
data = ggplot2::msleep,
type = "robust",
cor.vars = sleep_total:bodywt,
cor.vars.names = c("total sleep", "REM sleep"),
matrix.type = "lower"
)
# to get the correlation analyses results in a dataframe
ggstatsplot::ggcorrmat(
data = ggplot2::msleep,
cor.vars = sleep_total:bodywt,
output = "dataframe"
)
# }
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