plot_lift_curve_relative: plot_lift_curve_relative
In gloverd2/admr: Contains standard functions for Admiral Advance Analytics

Description Usage Arguments Value Examples

View source: R/plot_lift_curve_relative.R

Buckets data into groups using the difference in predicted values (proposed_pred - incumbent_pred) (see prep_num_bin) and finds average predictions and actual in each bucket.

Note: Predictions should be annualised (independent of exposure)

plot_lift_curve_relative(
  actual,
  incumbent_pred,
  proposed_pred,
  weight = NULL,
  title = NULL,
  n_bins = 10,
  method = "even_weight",
  use_labels = TRUE,
  mean = 0.5,
  sd = 0.3,
  incumbent_label = "Incumbent",
  proposed_label = "Proposed",
  use_plotly = TRUE
)

`actual`	Array[Numeric] - Values we are aiming to predict.
`incumbent_pred`	Array[Numeric] - Values that we have predicted by the incumbent model. Incumbent is the current model looking to be replaced.
`proposed_pred`	Optional: String - Text to use to label the proposed predictions.
`weight`	Optional: Array[Numeric] - Weighting of predictions. If NULL even weighting is used.
`title`	Optional: String - Title for the plot.
`n_bins`	numeric - Number of bins to split exposure into
`method`	string - One of `c("even_weight", "gaussian_weight")`. If `"even_weight"` is used the weight (exposure) in each bucket is even If `"gaussian_weight"` is used the weight look like a normal distribution centered on `mean` with width `sd`. The effect of this is to give thinner tails
`use_labels`	logical - should the bins be numbered or human readable labelled
`mean`	numeric - Only used when `method`=`"gaussian_weight"` - value between 0 - 1 for if the bucket with maximum weight is at min or max prediction. Default is 0.5 (middle bucket)
`sd`	numeric - Only used when `method`=`"gaussian_weight"` - value between 0.1 - 1 for how thin the distribution tails should be. Low numbers give thin tails
`incumbent_label`	Optional: String - Text to use to label the incumbent predictions.
`use_plotly`	Optional: boolean - If TRUE plotly object is returned else ggplot2 object.

plotly/ggplot object of showing relative lift curve for given pair of predictions

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plot_lift_curve_relative(actual=1:100, incumbent_pred = seq(25,74.5,0.5) + rnorm(100, mean=0, sd = 10), proposed_pred=seq(1,100,1) + rnorm(100, mean=0, sd = 10), title="Example Lift Curve")
plot_lift_curve_relative(actual=1:100, incumbent_pred = seq(25,74.5,0.5) + rnorm(100, mean=0, sd = 10), proposed_pred=seq(1,100,1) + rnorm(100, mean=0, sd = 10), title="Example Lift Curve", method="gaussian_weight")