plot_ci  R Documentation 
This function plots the 95% confidence interval for Pearson's correlation
coefficient generated by the function corr_ci
.
plot_ci( object, fill = NULL, position.fill = 0.3, x.lab = NULL, y.lab = NULL, y.lim = NULL, y.breaks = waiver(), shape = 21, col.shape = "black", fill.shape = "orange", size.shape = 2.5, width.errbar = 0.2, main = TRUE, invert.axis = TRUE, reorder = TRUE, legend.position = "bottom", plot_theme = theme_metan() )
object 
An object generate by the function 
fill 
If 
position.fill 
The position of shapes and errorbar when 
x.lab 
The label of xaxis, set to 'Pairwise combinations'. New
arguments can be inserted as 
y.lab 
The label of yaxis, set to 'Pearson's correlation coefficient'
New arguments can be inserted as 
y.lim 
The range of xaxis. Default is 
y.breaks 
The breaks to be plotted in the xaxis. Default is

shape 
The shape point to represent the correlation coefficient.
Default is 
col.shape 
The color for the shape edge. Set to 
fill.shape 
The color to fill the shape. Set to 
size.shape 
The size for the shape point. Set to 
width.errbar 
The width for the errorbar showing the CI. 
main 
The title of the plot. Set to 
invert.axis 
Should the names of the pairwise correlation appear in the yaxis? 
reorder 
Logical argument. If 
legend.position 
The position of the legend when using 
plot_theme 
The graphical theme of the plot. Default is

An object of class gg, ggplot
.
library(metan) library(dplyr) # Traits that contains "E" data_ge2 %>% select(contains('E')) %>% corr_ci() %>% plot_ci() # Group by environment # Traits PH, EH, EP, EL, and ED # Select only correlations with PH data_ge2 %>% corr_ci(PH, EP, EL, ED, CW, sel.var = "PH", by = ENV) %>% plot_ci(fill = ENV)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.