eta_pairs {ggPMX} | R Documentation |
This creates an eta correlation which defines the relationship between parameters
Description
This creates an eta correlation which defines the relationship between parameters
Usage
eta_pairs(
is.title,
title,
dname = NULL,
type.eta = c("mode", "mean"),
text_color = "black",
is.shrink = TRUE,
is.smooth = TRUE,
smooth = NULL,
point = NULL,
shrink = NULL,
is.hline = FALSE,
hline = NULL,
is.vreference_line = FALSE,
vreference_line = list(colour = "orange", linetype = "longdash"),
...
)
Arguments
is.title |
|
title |
character the plot title |
dname |
name of dataset to be used |
type.eta |
|
text_color |
color of the correlation text in the upper matrix |
is.shrink |
|
is.smooth |
|
smooth |
|
point |
|
shrink |
|
is.hline |
|
hline |
|
is.vreference_line |
|
vreference_line |
|
... |
others graphics arguments passed to |
Value
ecorrel object
See Also
Other plot_pmx:
distrib()
,
eta_cov()
,
individual()
,
plot_pmx.distrib()
,
plot_pmx.eta_cov()
,
plot_pmx.eta_pairs()
,
plot_pmx.individual()
,
plot_pmx.pmx_dens()
,
plot_pmx.pmx_gpar()
,
plot_pmx.pmx_qq()
,
plot_pmx.residual()
,
plot_pmx()