plot_gini: plot_gini

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

Description

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)

Usage

plot_gini(actual, predicted, weight = NULL, na.rm = FALSE, use_plotly = TRUE)

Arguments

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

Value

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

See Also

metric_gini

Examples

# 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)

gloverd2/admr documentation built on Dec. 2, 2020, 11:16 p.m.