plot_gini: plot_gini
In gloverd2/codeBase: Contains standard functions for Admiral Advance Analytics

Description Usage Arguments Value See Also Examples

Returns a plot showing the gini of one or more models compared to the perfect model and the Null model

Note: Predictions should be annualised (independent of exposure)

plot_gini(
  actual,
  predicted,
  weight = rep(1, length(actual)),
  na.rm = FALSE,
  use_plotly = TRUE
)

`actual`	Array[Numeric] - Values we are aiming to predict.
`predicted`	Array[Numeric] / DataFrame[Numeric] - Values that we have predicted.
`weight`	Optional: Array[Numeric] - Weighting of predictions. If NULL even weighting is used
`na.rm`	logical. Should missing values be removed?
`use_plotly`	Optional: boolean - If TRUE plotly object is returned else ggplot2 object

plotly/ggplot object of showing gini curve for all predictions given

metric_gini

# Input as vector
actual <- rnorm(100, mean=100, sd=10)
weight <- rep(1,100)
predicted <- actual + rnorm(100, mean=0, sd=1)

plot_gini(actual, predicted, weight)

# Input as dataframe

predicted <- data.frame(pred1 = actual + rnorm(100, mean=0, sd=1), pred2 = rnorm(100, mean=0, sd=1))
plot_gini(actual, predicted, weight)