# plot.corr_coef: Create a correlation heat map In metan: Multi Environment Trials Analysis

## Description

Create a correlation heat map for object of class corr_coef

## Usage

  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 ## S3 method for class 'corr_coef' plot( x, type = "lower", diag = FALSE, reorder = TRUE, signif = "stars", caption = TRUE, digits.cor = 2, digits.pval = 3, 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.cor = 3, size.text.signif = 3, size.text.lab = 10, ... ) 

## Arguments

 x The data set. type The type of heat map to produce. Either lower (default) to produce a lower triangle heat map or upper to produce an upper triangular heat map. diag Plot diagonal elements? Defaults to FALSE. reorder Reorder the correlation matrix to identify the hidden pattern? Defaults to TRUE. signif How to show significant correlations. If "stars" is used (default), stars are used showing the significance at 0.05 (""), 0.01 ("") and 0.001 ("") probability error. If signif = "pval", then the p-values are shown. caption Logical. If TRUE (Default) includes a caption with the significance meaning for stars. 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 blue, white, and red, respectively. lab.x.position, lab.y.position The position of the x and y axis label. Defaults to "bottom" and "right" if type = "lower" or "top" and "left" if type = "upper". legend.position The legend position in the plot. legend.title The title of the color key. Defaults to "Pearson's Correlation". 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

  1 2 3 4 5 6 7 8 9 10 11 12 13 library(metan) # All numeric variables all <- corr_coef(data_ge2) plot(all) plot(all, 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) 

metan documentation built on Nov. 10, 2021, 9:11 a.m.