gg_rf: Residual-Fit plot

In ggcleveland: Implementation of Plots from Cleveland's Visualizing Data Book

Description

Returns a Residual-Fit plot, optionally including centered observed values

Usage

gg_rf(
  df,
  vble,
  fitted,
  res,
  cen_obs = FALSE,
  cen_obs_label = "Centered observed values",
  cen_fit_label = "Centered fitted values",
  res_label = "Residuals",
  xlabel = expression(f[i]),
  ylabel = quo_text(vble),
  ...
)

Arguments

df	dataframe
vble	numeric variable in df with the observed values
fitted	numeric variable in df with the fitted values
res	numeric variable in df with the residuals
cen_obs	should centered observed values be included in a panel of their own? Defaults to FALSE. If TRUE, values are centered using the mean of all data
cen_obs_label	label for the panel of centered observed values
cen_fit_label	label for the panel of fitted values
res_label	label for the panel of residuals
xlabel	x-axis label
ylabel	y-axis label
...	parameters to be passed to stat_qq(), such as size, color, shape.

Details

The option to include the centered observed values as part of this plot was inspired by work done by Eng. German Beltzer in lattice.

Value

a ggplot

Examples

library(dplyr)
data(futbol)

datos <-
  futbol %>%
  group_by(longp) %>%
  mutate(ajuste = mean(dist), res = dist - ajuste)

gg_rf(datos, dist, ajuste, res)

gg_rf(datos, dist, ajuste, res, cen_obs = TRUE)

gg_rf(datos, dist, ajuste, res, cen_obs = TRUE,
      cen_obs_label = "Obs centradas", cen_fit_label = "Ajustados menos media",
      res_label = "Residuos", xlabel = "valor f", ylabel = "Distancia (m)",
      color = "red", size = 0.7)

ggcleveland documentation built on Aug. 16, 2021, 9:07 a.m.