lift_plot: lift_plot

In ezplot: Functions for Common Chart Types

lift_plot

Description

precision-recall plot

Usage

lift_plot(
  data,
  fitted,
  actual,
  group = NULL,
  facet_x = NULL,
  facet_y = NULL,
  size_line = 1,
  size = 11,
  env = parent.frame()
)

Arguments

data	A data.frame.
fitted	Vector of fitted values
actual	Vector of actual values
group	A character value. Evaluates to a column.
facet_x	A character value. Evaluates to a column.
facet_y	A character. Evaluates to a column.
size_line	width of line for geom_line(). Default is 1.
size	theme size for use_theme(). Default is 14.
env	environment for evaluating expressions.

Examples

library(ggplot2)
n = 1000
df = data.frame(actual = sample(c(FALSE, TRUE), n, replace = TRUE),
                runif = runif(n))
df[["fitted"]] = runif(n) ^ ifelse(df[["actual"]] == 1, 0.5, 2)

density_plot(df, "fitted", "actual")

lift_plot(df, "fitted", "actual")
lift_plot(df, "fitted", "actual") + scale_y_log10()
lift_plot(df, "runif", "actual", size_line = 0.5)


library(dplyr, warn.conflicts = FALSE)
lift_plot(df, "fitted", "actual", "sample(c(1, 2), n(), TRUE)")

lift_plot(df, "fitted", "actual",
        "sample(c(1, 2), n(), TRUE)",
        "sample(c(3, 4), n(), TRUE)")

lift_plot(df, "fitted", "actual",
        "sample(c(1, 2), n(), TRUE)",
        "sample(c(3, 4), n(), TRUE)",
        "sample(c(5, 6), n(), TRUE)")

ezplot documentation built on Nov. 26, 2023, 5:07 p.m.