Create a correlation heat map for object of class corr_coef
# S3 method for corr_coef plot( x, type = "lower", diag = FALSE, reorder = TRUE, digits = 2, col.low = "blue", col.mid = "white", col.high = "red", lab.x.position = NULL, lab.y.position = NULL, legend.position = NULL, legend.title = "Pearson's\nCorrelation", size.text.plot = 3, size.text.lab = 10, ... )
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 |
digits | The digits to show in the heat map. |
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.plot, size.text.lab | The size of the text in plot area
(Defaults to |
... | Not used currently. |
An object of class gg, ggplot
Tiago Olivoto tiagoolivoto@gmail.com
#> Warning: Removed 23 rows containing missing values (geom_text).#> Warning: Removed 23 rows containing missing values (geom_text).# 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)# }