ceef.plot(he, comparators = NULL, pos = c(1, 1),
start.from.origins = TRUE, threshold = NULL, flip = FALSE,
dominance = TRUE, relative = FALSE, print.summary = TRUE,
graph = c("base", "ggplot2"), ...)bcea object containing the results of the Bayesian modelling and the
economic evaluation. The list needs to include the e and c matrices
used to generate the object; see Details.
NULL includes all the available comparators.
(bottom|top)(right|left) for base graphics and bottom, top,
left or right for ggplot2. It can be a two-elements vector, which
specifies the relative position on the x and y axis respectively, or alternatively
it can be in form of a logical variable, with FALSE indicating to use the
default position and TRUE to place it on the bottom of the plot. Default
value is c(1,1), that is the topright corner inside the plot area.FALSE if the average effectiveness and/or costs of at least one
comparator are negative.
NULL (the default), no conditions are included on the slope
increase. If a positive value is passed as argument, to be efficient an intervention
also requires to have an ICER for the comparison versus the last efficient strategy
not greater than the specified threshold value. A negative value will be ignored with
a warning.
FALSE)
or the differential outcomes versus the reference comparator?
"base" or "ggplot2". Default value is "base".
graph="ggplot2" and a named theme object is supplied, it will be added to
the ggplot object. Ignored if graph="base". Setting the optional argument
include.ICER to TRUE will print the ICERs in the summary tables,
if produced.graph="ggplot2".
dominance is set to TRUE, the dominance regions
are plotted, indicating the areas of dominance. Interventions in the areas between
the dominance region and the frontier are in a situation of extended dominance.
bcea objects did not include the generating e and c matrices
in BCEA versions <2.1-0. this="" function="" is="" not="" compatible="" with="" objects="" created="" previous="" versions.="" the="" matrices="" can="" be="" appended="" to="" The argument print.summary allows for printing a brief summary of the efficiency
frontier, with default to TRUE. Two tables are plotted, one for the interventions
included in the frontier and one for the dominated interventions. The average costs and
clinical benefits are included for each intervention. The frontier table includes the
slope for the increase in the frontier and the non-frontier table displays the dominance
type of each dominated intervention. Please note that the slopes are defined as the
increment in the costs for a unit increment in the benefits even if flip = TRUE
for consistency with the ICER definition. The angle of increase is in radians and depends
on the definition of the axes, i.e. on the value given to the flip argument.
If the argument relative is set to TRUE, the graph will not display the
absolute measures of costs and benefits. Instead the axes will represent differential
costs and benefits compared to the reference intervention (indexed by ref in
the bcea function).
IQWIG (2009). General methods for the Assessment of the Relation of Benefits to Cost, Version 1.0. IQWIG, November 2009.
bcea
### create the bcea object m for the smoking cessation example
data(Smoking)
m <- bcea(e,c,ref=4,Kmax=500,interventions=treats)
### produce the plot
ceef.plot(m,graph="base")
### tweak the options
ceef.plot(m,flip=TRUE,dominance=FALSE,start.from.origins=FALSE,
print.summary=FALSE,graph="base")
### or use ggplot2 instead
if(require(ggplot2)){
ceef.plot(m,dominance=TRUE,start.from.origins=FALSE,pos=TRUE,
print.summary=FALSE,graph="ggplot2")
}
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