ciu.ggplot.col {ciu}R Documentation

CIU feature importance/utility plot using ggplot.


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.


  instance = NULL,
  ind.inputs = NULL,
  output.names = NULL,
  in.min.max.limits = NULL,
  n.samples = 100,
  neutral.CU = 0.5,
  show.input.values = TRUE, = NULL,
  target.concept = NULL,
  target.ciu = NULL,
  ciu.meta = NULL,
  low.color = "red",
  mid.color = "yellow",
  high.color = "darkgreen",
  use.influence = FALSE,
  influence.minmax = c(-1, 1),
  sort = NULL,
  decreasing = FALSE,
  main = NULL



ciu object as created with ciu function (not to be confused with CIU object as created by


Input values for the instance to explain. Should be a data.frame even though a vector or matrix might work too if input names and other needed metadata can be deduced from the dataset or other parameters given to


Indices of input features to explain (the set i in CIU formulae)


Vector with names of outputs to include. If NULL (default), then include all.


data.frame or matrix with one row per output and two columns, where the first column indicates the minimal value and the second column the maximal value for that output. ONLY NEEDED HERE IF not given as parameter to or if the limits are different for this specific instance than the default ones.


How many instances to generate for estimating CI and CU. For inputs of type factor, all possible combinations of input values are generated, so this parameter only influences how many instances are (at least) generated for continuous-valued inputs.


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 input feature concepts to explain, as defined by vocabulary provided as argument to If ind.inputs=NULL, then use instead. If both are NULL, then use all inputs.


If provided, then calculate CIU of inputs relative to the given concept rather than relative to the actual output(s). should normally be a subset (or all) of the inputs that target.concept consists of, even though that not required by the CIU calculation. If a target.ciu is provided, then the target.concept doesn't have to be included in the vocabulary gives as parameter to (at least for the moment).


ciu.result object previously calculated for target.concept. If a target.concept is provided but target.ciu=NULL, then target.ciu is estimated by a call to ciu.explain with the n.samples value given as a parameter to this call. It may be useful to provide target.ciu if it should be estimated using some other (typically greater) value for n.samples than the default one, or if it has already been calculated for some reason.


If given, then use existing ciu.meta.result rather than calling ciu.meta.explain.


Colour to use for CU=0


Colour to use for CU=Neutral.CU


Colour to use for CU=1


Plot using "influence" rather than CIU, i.e. a LIME-like barplot. Default is FALSE.


Range to use for influence values.


NULL, "CI" or "CU".


Set to TRUE for decreasing sort.


Text to use as main title.


ggplot object.


Kary Främling

[Package ciu version 0.5.0 Index]