Create a barplot showing CI as the length of the bar and CU on color scale from
red to green, via yellow, for the given inputs and the given output. First get a
CIU
object by calling ciu.new as e.g. ciu <- ciu.new(...)
,
then call ciu.res <- ciu$barplot.ciu(...)
. "Usage" section is in
"Details" section because Roxygen etc. don't support documentation of functions
within functions.
"void", i.e. whatever happens to be result of last instruction.
Instance to explain. See explain
.
vector
of indices for the
inputs to be included in the plot.
If NULL then all inputs will be included.
Index of output to be explained.
See explain
.
See explain
.
Indicates when the Contextual Utility is considered to be "negative". The default value of 0.5 seems quite logical for most cases.
Include input values after input labels or not. Default is TRUE.
List of concepts to use in the plot, as defined
by vocabulary provided as argument to ciu.new
.
If ind.inputs=NULL
, then use concepts.to.explain
instead.
If both are NULL, then use all inputs.
See explain
.
See explain
.
Color ramp function as returned by function
colorRamp()
. Default color ramp is from red3 to yellow.
Color ramp function as returned by function
colorRamp()
. Default colorramp is from yellow to darkgreen.
Plot using "influence" rather than CIU, i.e. a LIME-like barplot. Default is FALSE.
NULL, "CI" or "CU". No sorting by default, other options are sorting by CI or CU.
Set to TRUE for decreasing sort.
Usual plot parameters, possible to override the default ones provided here if needed.
Kary Främling
Usage
barplot.ciu(
instance,
ind.inputs=NULL,
ind.output=1,
in.min.max.limits=NULL,
n.samples=100,
neutral.CU=0.5,
show.input.values=TRUE,
concepts.to.explain=NULL,
target.concept=NULL,
target.ciu=NULL,
color.ramp.below.neutral=NULL,
color.ramp.above.neutral=NULL,
sort=NULL,
decreasing=FALSE,
main=NULL,
xlab=NULL,
xlim=NULL,
...)
ggplot.col.ciu
pie.ciu
ciu.new
explain