plot.can_cor  R Documentation 
Graphs of the Canonical Correlation Analysis
## S3 method for class 'can_cor' plot( x, type = 1, plot_theme = theme_metan(), size.tex.lab = 12, size.tex.pa = 3.5, x.lab = NULL, x.lim = NULL, x.breaks = waiver(), y.lab = NULL, y.lim = NULL, y.breaks = waiver(), axis.expand = 1.1, shape = 21, col.shape = "orange", col.alpha = 0.9, size.shape = 3.5, size.bor.tick = 0.3, labels = FALSE, main = NULL, ... )
x 
The 
type 
The type of the plot. Defaults to 
plot_theme 
The graphical theme of the plot. Default is

size.tex.lab 
The size of the text in axis text and labels. 
size.tex.pa 
The size of the text of the plot area. Default is

x.lab 
The label of xaxis. Each plot has a default value. New
arguments can be inserted as 
x.lim 
The range of xaxis. Default is 
x.breaks 
The breaks to be plotted in the xaxis. Default is

y.lab 
The label of yaxis. Each plot has a default value. New
arguments can be inserted as 
y.lim 
The range of yaxis. Default is 
y.breaks 
The breaks to be plotted in the xaxis. Default is

axis.expand 
Multiplication factor to expand the axis limits by to
enable fitting of labels. Default is 
shape 
The shape of points in the plot. Default is 
col.shape 
A vector of length 2 that contains the color of shapes for
genotypes above and below of the mean, respectively. Defaults to

col.alpha 
The alpha value for the color. Default is 
size.shape 
The size of the shape in the plot. Default is 
size.bor.tick 
The size of tick of shape. Default is 
labels 
Logical arguments. If 
main 
The title of the plot. Defaults to 
... 
Currently not used. 
An object of class gg, ggplot
.
Tiago Olivoto tiagoolivoto@gmail.com
library(metan) cc1 = can_corr(data_ge2, FG = c(PH, EH, EP), SG = c(EL, ED, CL, CD, CW, KW, NR)) plot(cc1, 2) cc2 < data_ge2 %>% mean_by(GEN) %>% column_to_rownames("GEN") %>% can_corr(FG = c(PH, EH, EP), SG = c(EL, ED, CL, CD, CW, KW, NR)) plot(cc2, 2, labels = TRUE)
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