| roc_plot | R Documentation |
ROC Plot for categorical DVs
roc_plot(
xpdb,
mapping = NULL,
cutpoint = 1,
group = "ID",
type = "ca",
title = "ROC curve @dvcol~@probcol | @run",
subtitle = "Ofv: @ofv, Eps shrink: @epsshk",
caption = "@dir",
tag = NULL,
guide = TRUE,
facets,
.problem,
quiet,
...
)
xpdb |
< |
mapping |
|
cutpoint |
< |
group |
Variable by which to group points or text |
type |
See Details. |
title |
Plot title |
subtitle |
Plot subtitle |
caption |
Plot caption |
tag |
Plot tag |
guide |
Include unity line? |
facets |
Additional facets |
.problem |
Problem number |
quiet |
Silence extra debugging output |
... |
Any additional aesthetics. |
For type-based customization of plots:
c ROC curve (using geom_path)
k Key points on ROC curve (where on curve the
threshold is thres_fixed) (using geom_point)
p ROC space points (using geom_point)
t ROC space text (using geom_text)
a AUC in bottom right (using geom_label)
A desired plot
catdv_vs_dvprobs()
# Note these examples are similar to catdv_vs_dvprobs
## Not run:
# Test M3 model
pkpd_m3 %>%
# Need to ensure var types are set
set_var_types(catdv=BLQ,dvprobs=LIKE) %>%
# Set probs
set_dv_probs(1, 1~LIKE, .dv_var = BLQ) %>%
# Optional, but useful to set levels
set_var_levels(1, BLQ = lvl_bin()) %>%
# Generate typical ROC curve
roc_plot()
# Test categorical model
vismo_xpdb <- vismo_pomod %>%
set_var_types(.problem=1, catdv=DV, dvprobs=matches("^P\\d+$")) %>%
set_dv_probs(.problem=1, 0~P0,1~P1,ge(2)~P23)
# Various cutpoints (note axes labels and texts)
vismo_xpdb %>%
roc_plot(type = "p") # space plot
vismo_xpdb %>%
roc_plot(cutpoint=2, type = "cak") # with area and key point
vismo_xpdb %>%
roc_plot(cutpoint=3, type = "cak")
# alternative model example
vismo_xpdb2 <- vismo_dtmm %>%
set_var_types(.problem=1, catdv=DV, dvprobs=matches("^P\\d+$")) %>%
set_dv_probs(.problem=1, 0~P0,1~P1,ge(2)~P23)
vismo_xpdb2 %>%
roc_plot(cutpoint=2, type = "cak")
## End(Not run)
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