ggcleveland (version 0.1.0)

gg_rf: 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.

Value

a ggplot

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.

Examples

# NOT RUN {
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)

# }