eta_cov_plot {ggPMX} | R Documentation |
Eta Covariates plots
Description
Eta Covariates plots
Relationships between (ETA) and categorical covariates
Relationships between (ETA) and continuous covariates
Usage
dummy(
dname,
show.correl,
correl,
point,
facets,
filter,
strat.facet,
strat.color,
trans,
pmxgpar,
labels,
axis.title,
axis.text,
ranges,
is.smooth,
smooth,
is.band,
band,
is.draft,
draft,
is.identity_line,
identity_line,
scale_x_log10,
scale_y_log10,
color.scales
)
pmx_plot_eta_cats(ctr, ...)
pmx_plot_eta_conts(ctr, ...)
Arguments
dname |
|
show.correl |
|
correl |
|
point |
|
facets |
pmx_update parameters |
filter |
|
strat.facet |
|
strat.color |
|
trans |
|
pmxgpar |
a object of class pmx_gpar possibly the output of the pmx_gpar: Shared basic graphics parameters |
labels |
|
axis.title |
|
axis.text |
|
ranges |
|
is.smooth |
|
smooth |
|
is.band |
|
band |
|
is.draft |
|
draft |
|
is.identity_line |
|
identity_line |
|
scale_x_log10 |
|
scale_y_log10 |
|
color.scales |
|
ctr |
pmx controller |
... |
others graphics parameters passed :
eta_cov parameters |
Value
ggplot2 object
Examples
# basic use ---------------------------------------
ctr <- theophylline()
ctr %>% pmx_plot_eta_cats
ctr %>% pmx_plot_eta_conts
# update graphical parameter ----------------------
## update labels
ctr %>% pmx_plot_eta_cats(
labels = list(title = "New eta cats title")
)
## remove draft
ctr %>% pmx_plot_eta_cats(is.draft = FALSE)
## change text color line
ctr %>% pmx_plot_eta_conts(
correl=list(colour="magenta")
)
## set covariates custom labels
ctr %>% pmx_plot_eta_conts(
covariates=pmx_cov(values=list("WT0","AGE0"),
labels=list("Weight","Age"))
)
## set effects and covaraites custom labels
ctr <- theophylline( settings = pmx_settings(
effects=list( levels=c("ka", "V", "Cl"),
labels=c("Concentration","Volume","Clearance")
)
)
)
ctr %>% pmx_plot_eta_conts(
covariates=pmx_cov(values=list("WT0","AGE0"),
labels=list("Weight","Age"))
)