plot.corr_coef {metan} | R Documentation |
Create a correlation heat map
Description
Create a correlation heat map for object of class corr_coef
Usage
## S3 method for class 'corr_coef'
plot(
x,
type = "lower",
diag = FALSE,
reorder = TRUE,
signif = c("stars", "pval"),
show = c("all", "signif"),
p_val = 0.05,
caption = TRUE,
digits.cor = 2,
digits.pval = 3,
col.low = "red",
col.mid = "white",
col.high = "blue",
lab.x.position = NULL,
lab.y.position = NULL,
legend.position = NULL,
legend.title = "Pearson's\nCorrelation",
size.text.cor = 3,
size.text.signif = 3,
size.text.lab = 10,
...
)
Arguments
x |
The data set. |
type |
The type of heat map to produce. Either |
diag |
Plot diagonal elements? Defaults to |
reorder |
Reorder the correlation matrix to identify the hidden pattern?
Defaults to |
signif |
How to show significant correlations. If |
show |
The correlations to show. Either |
p_val |
The p-value to the correlation significance. |
caption |
Logical. If |
digits.cor , digits.pval |
The significant digits to show for correlations and p-values, respectively. |
col.low , col.mid , col.high |
The color for the low (-1), mid(0) and high
(1) points in the color key. Defaults to |
lab.x.position , lab.y.position |
The position of the x and y axis label.
Defaults to |
legend.position |
The legend position in the plot. |
legend.title |
The title of the color key. Defaults to |
size.text.cor |
The size of the text for correlation values. Defaults to 3. |
size.text.signif |
The size of the text for significance values (stars or p-values). Defaults to 3. |
size.text.lab |
The size of the text for labels. Defaults to 10. |
... |
Currently not used. |
Value
An object of class gg, ggplot
Author(s)
Tiago Olivoto tiagoolivoto@gmail.com
Examples
library(metan)
# All numeric variables
x <- corr_coef(data_ge2)
plot(x)
plot(x, reorder = FALSE)
# Select variables
sel <- corr_coef(data_ge2, EP, EL, CD, CL)
plot(sel,
type = "upper",
reorder = FALSE,
size.text.lab = 14,
size.text.plot = 5)