Ensayo para probar la librería showtexten R utilizando ggplot2

Este repositorio es la síntesis de una serie de posts publicados en Posit Community. El objetivo fue recrear de la manera más fiel posible en ggplot2 el gráfico de presentación de la librería showtext de R, que utiliza las funciones gráficas básicas de R. Es un ejercicio de configuración de ggplot2. El gráfico original puede verse en el repositorio de su autor, Yixuan Qiu El resultado se presenta en el archivo R ggplot2_showtext.R incluido en este repositorio. Posiblemente puede haber otras soluciones más sencillas que las que he encontrado, estaré encantado de conocerlas.

This repository is the synthesis of a series of posts published in Posit Community. The objective was to recreate in the most faithful way possible in ggplot2 the presentation plot of the showtext R library, which uses the basic graphics functions of R. It's a ggplot2 configuration exercise. The original plot can be seen in the repository of its author, Yixuan Qiu. The result is presented in the included R file ggplot2_showtext.R in this repository. Possibly there may be other simpler solutions than the ones I've found, I'll be happy to hear about them.

Gráfico original de Yixuan Qiu

Mi versión en ggplot2

El código de mi versión se incluye a continuación y en el archivo ggplot2_showtext.R

# ----------------------------------------------------------------------------
# Mi versión con ggplot
library(tidyverse)
library(showtext)
library(scales)

## Loading Google fonts (https://fonts.google.com/)
font_add_google("Gochi Hand", "gochi")
font_add_google("Schoolbell", "bell")
font_add_google("Covered By Your Grace", "grace")
font_add_google("Rock Salt", "rock")

## Automatically use showtext to render text for future devices
showtext_auto()

## Tell showtext the resolution of the device,
## only needed for bitmap graphics. Default is 96
showtext_opts(dpi = 96)

set.seed(123)
x  <- rnorm(10)
y  <-  1 + x + rnorm(10, sd = 0.2)
y[1] <-  5
mod <- lm(y ~ x)

df <- data.frame(x,y)

df |> ggplot(aes( x = x, y = y)) +
  geom_point(size = 3, colour = "steelblue") + # colores: cadetblue4, dodgerblue3, firebrick4, 
  geom_smooth(aes(colour = "black"), method = 'lm', formula = y~x, se = F) +
  geom_abline(aes(slope = 1, intercept = 1, colour = "red")) +
  scale_colour_manual(values=c("black", "red"), labels = c("OLS", "Truth")) +
  scale_x_continuous(labels = label_number(accuracy = 0.1), breaks = breaks_extended(6)) +
  labs(
    x = "x variable",
    y = "y variable",
    title = "Draw Plots Before You Fit A Regression",
  ) +
  geom_text(
    aes(x, y), 
    data = data.frame(x = -0.5, y = 4.7), 
    label = "This is the outlier",
    colour = "steelblue",
    family = "grace",
    size = 7
  ) + 
  geom_text(
    aes(x,y),
    data = data.frame(x = 1, y = 1.2), 
    label = expression(paste("True model: ", y == x + 1)),
    family = "rock",
    angle = 30,
    size = 6, 
    colour = "red" 
  ) +
  geom_text(
    aes(x,y),
    data = data.frame(x = 0, y = 2), 
    label = expression(paste("OLS: ", hat(y) == 0.79 * x + 1.49)),
    family = "rock",
    angle = 22,
    size = 7, 
    colour = "black" 
  ) +
  theme_bw() + 
  theme(
    plot.title   = element_text(size = 22, family = "bell"),
    axis.text.x  = element_text(size = 18, family = "gochi"),
    axis.text.y  = element_text(size = 18, family = "gochi"),
    axis.title.x = element_text(size = 24, family = "gochi"),
    axis.title.y = element_text(size = 24, family = "gochi"),
    panel.grid.minor.x = element_blank(),
    legend.position = c(0.895, 0.932),
    legend.background = element_rect(colour = "black", fill="white", linewidth=0.5, linetype="solid"),
    legend.text =  element_text(size=14, family = "rock"),
    legend.title = element_blank(),
  )