| 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 x-axis, set to 'Pairwise combinations'. New
arguments can be inserted as   | 
y.lab | 
 The label of y-axis, set to 'Pearson's correlation coefficient'
New arguments can be inserted as   | 
y.lim | 
 The range of x-axis. Default is   | 
y.breaks | 
 The breaks to be plotted in the x-axis. 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 y-axis?  | 
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.