plot_corrplotgg | R Documentation |
Creates correlation plot using ggplot2 package
plot_corrplotgg(
mat,
xlab = "",
ylab = "",
labels = "",
corr_method = c("pairwise.complete.obs", "spearman"),
pval_color = "white",
grid.fill.color = "white",
grid.line.color = "black",
pval.label = "p.signif",
circ_max = NULL,
star_size = NULL,
gradient_palette = "RdBu",
font_size = 15,
line_size = 1,
out_dir = ".",
save.to.file = F
)
mat |
Numeric dataframe or matrix, where columns will be correlated. Must not contain any NAs; use complete.cases(mat) to remove rows with NAs. |
xlab |
X axis label. |
ylab |
Y axis label. |
labels |
A character vector of at least length 1 that will be collapsed for file name/plot titles. |
corr_method |
A character vector of 2 that correspond to "use" and "method" parameters in |
pval_color |
The color of the significance stars or p-value text. |
grid.fill.color |
The color for grid fill. |
grid.line.color |
The color for grid line. |
pval.label |
How p-values are represented. Allowed values are "p.signif" (stars) and "p.format" (number). |
circ_max |
The maximum size of circle within cells in grid. |
star_size |
The size of star labels on correlation plots. |
gradient_palette |
RColorBrewer palette. See |
font_size |
The size of text labels on correlation plots. legend title. The size of legend text and plot title is font_size / 1.5. The size of legend text and plot subtitle is font_size / 3. |
line_size |
The thickness of grid lines. |
out_dir |
The output directory where the plot will be saved when save.to.file is TRUE, default is current working directory. |
save.to.file |
If TRUE, save plot to file in out_dir. If FALSE, print to panel. |
Plot object if save.to.file is FALSE.
Other plotting:
plot_corrplot()
,
plot_discrete_barplot()
,
plot_heatmap()
,
plot_het_barplot()
,
plot_indiv_boxplot()
,
plot_indiv_corrscatt()
,
plot_indiv_paired()
,
plot_overview_boxplot()
,
plot_overview_corr_scatt()
,
plot_profile_barplot()
,
run_corrplot_analysis()
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.