cor.vars.names-
Optional list of names to be used for cor.vars. The
names should be entered in the same order.
partial-
Can be TRUE for partial correlations. For Bayesian partial
correlations, "full" instead of pseudo-Bayesian partial correlations (i.e.,
Bayesian correlation based on frequentist partialization) are returned.
matrix.type-
Character, "upper" (default), "lower", or "full",
display full matrix, lower triangular or upper triangular matrix.
sig.level-
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".
colors-
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.
pch-
Decides the point shape to be used for insignificant correlation
coefficients (only valid when insig = "pch"). Default: pch = "cross".
ggcorrplot.args-
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: corr, method, p.mat, sig.level, ggtheme, colors, lab,
pch, legend.title, digits.
type-
A character specifying the type of statistical approach.
Four possible options:
-
"parametric"
-
"nonparametric"
-
"robust"
-
"bayes"
Corresponding abbreviations are also accepted: "p" (for parametric),
"np" (for nonparametric), "r" (for robust), or "bf" (for Bayesian).
tr-
Trim level for the mean when carrying out robust tests. In case
of an error, try reducing the value of tr, which is by default set to
0.2. Lowering the value might help.
k-
Number of digits after decimal point (should be an integer)
(Default: k = 2L).
conf.level-
Scalar between 0 and 1. If unspecified, the defaults
return 95% confidence/credible intervals (0.95).
bf.prior-
A number between 0.5 and 2 (default 0.707), the prior
width to use in calculating Bayes factors and posterior estimates.
p.adjust.method-
Adjustment method for p-values for multiple
comparisons. Possible methods are: "holm" (default), "hochberg",
"hommel", "bonferroni", "BH", "BY", "fdr", "none".
package-
Name of the package from which the given palette is to
be extracted. The available palettes and packages can be checked by running
View(paletteer::palettes_d_names).
palette-
Name of the package from which the given palette is to
be extracted. The available palettes and packages can be checked by running
View(paletteer::palettes_d_names).
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). theme_ggstatsplot is an opinionated theme layer that
override some aspects of the selected ggtheme.
ggplot.component-
A ggplot component to be added to the plot prepared
by ggstatsplot. This argument is primarily helpful for grouped_
variants of all primary functions. Default is NULL. The argument should
be entered as a ggplot2 function or a list of ggplot2 functions.
subtitle-
The text for the plot subtitle. Will work only if
results.subtitle = FALSE.
caption-
The text for the plot caption.