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)
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