plot.rate_gls {evolvability} | R Documentation |
Plot of rate_gls object
Description
plot
method for class 'rate_gls'
.
Usage
## S3 method for class 'rate_gls'
plot(
x,
scale = "SD",
print_param = TRUE,
digits_param = 2,
digits_rsquared = 1,
main = "GLS regression",
xlab = "x",
ylab = "Response",
col = "grey",
cex.legend = 1,
...
)
Arguments
x |
An object of class |
scale |
The scale of the y-axis, either the variance scale ('VAR'), that is y^2, or the standard deviation scale ('SD'), that is abs(y). |
print_param |
logical: if parameter estimates should be printed in the plot or not. |
digits_param |
The number of significant digits displayed for the parameters in the plots. |
digits_rsquared |
The number of decimal places displayed for the r-squared. |
main |
as in |
xlab |
as in |
ylab |
as in |
col |
as in |
cex.legend |
A character expansion factor relative to current par("cex") for the printed parameters. |
... |
Additional arguments passed to |
Details
Plots the gls rate regression fitted by the rate_gls
function. The regression line gives the expected variance or standard
deviation (depending on scale). The regression is linear on the variance
scale.
Value
plot
returns a plot of the gls rate regression
Author(s)
Geir H. Bolstad
Examples
# See the vignette 'Analyzing rates of evolution'.