Creates a pairwise correlation matrix with scatter plots, correlation coefficients, and optional diagonal distributions.
Usage
CorPairsPlot(
data,
columns = NULL,
group_by = NULL,
group_by_sep = "_",
diag_type = c("density", "histogram", "none"),
cor_method = c("pearson", "spearman", "kendall"),
cor_format = "{round(corr, 2)}",
cor_size = 4,
theme = "theme_ggforge",
theme_args = list(),
palette = ifelse(is.null(group_by), "Spectral", "forge"),
palcolor = NULL,
title = NULL,
seed = 8525,
...
)Arguments
- data
Data frame
- columns
Column names to include. If NULL, all numeric columns are used.
- group_by
Optional grouping column for coloring points.
- group_by_sep
Separator for concatenating multiple columns in group_by
- diag_type
Diagonal plot type: "density", "histogram", or "none".
- cor_method
Correlation method: "pearson", "spearman", or "kendall".
- cor_format
Glue format string for correlation text. Variables: corr, pvalue.
- cor_size
Font size for correlation text.
- theme
Theme name or function.
- theme_args
Additional theme arguments.
- palette
Palette name.
- palcolor
Custom colors.
- title
Plot title.
- seed
Random seed for reproducibility.
- ...
Additional arguments.
See also
Other network-plots:
ChordPlot(),
CorPlot(),
Network(),
SankeyPlot()