gg_rf {ggcleveland}

Residual-Fit plot

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)