R/clases/1_introduccion/3_ggplot2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Revisar las siguientes referencias para graficar con el paquete base y [ggplot2](https://ggplot2.tidyverse.org/) de R"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Github"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alicia Mastretta:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* https://github.com/AliciaMstt/BioinfinvRepro/blob/master/Unidad3/Graficar%20en%20R.Rmd\n",
    "\n",
    "* https://github.com/AliciaMstt/BioinfinvRepro/blob/master/Unidad3/Graficar_en_R.html\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sonia Mendizábal:\n",
    "\n",
    "* https://github.com/Songeo/R_intro/tree/master/2_visualizacion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "**Nota** \n",
    "\n",
    "El archivo con extensión `.Rmd` se abre con [Rstudio](https://rstudio.com/) y el `.html` en su browser.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Libros"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* M.D. Ugarte, A. F. Militino, A. T. Arnholt, \"Probability and Statistics with R\", **2ed** (que tiene github: [alanarnholt/PASWR2E-Book](https://github.com/alanarnholt/PASWR2E-Book)) capítulo 2 tiene ejemplos de ambos paquetes: `base` y `ggplot2` de R.\n",
    "\n",
    "* [R for Data Science](https://r4ds.had.co.nz/) por Hadley Wickham y Garret Grolemund.\n",
    "\n",
    "* [R Graphics Cookbook](http://www.cookbook-r.com/Graphs/) por Winston Chang.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Documentación"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* https://ggplot2.tidyverse.org/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualización con [ggplot2](https://ggplot2.tidyverse.org/)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Un paquete de R que es versátil para la visualización bonita de datos es el de `ggplot2`. Tal paquete implementa *grammar of graphics* que es un sistema para describir y construir los componentes de una gráfica. Ver [The Grammar of Graphics](https://www.springer.com/gp/book/9780387245447) y [A Layered Grammar of Graphics](https://byrneslab.net/classes/biol607/readings/wickham_layered-grammar.pdf)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "library(ggplot2) #cargamos el paquete con la función library"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Una opción para graficar es con la función [qplot](https://ggplot2.tidyverse.org/reference/qplot.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "x <- c(1,2, 3) #vector con valores 1, 2, 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] 1 2 3\n"
     ]
    }
   ],
   "source": [
    "print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "y <- seq(1, 2, .5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] 1.0 1.5 2.0\n"
     ]
    }
   ],
   "source": [
    "print(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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IEEUiCQQAIpEEgggRQIJJBACgQSSCAF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\nkgKBJAUCSQr0/wGaWOcOO8iJBgAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "qplot(x = x, y = y, main = \"Ejemplo\") "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Otra función para graficar más versátil es [ggplot](https://ggplot2.tidyverse.org/reference/ggplot.html)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Con la función `ggplot` creamos un sistema de coordenadas al que le podemos colocar capas o *layers*. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "coordinate_system <- ggplot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAMAAADKOT/pAAAADFBMVEXr6+vu7u7w8PD///8r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\nRoKAkSDwBZaea3wWnI3hAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "coordinate_system"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Y para hacer una gráfica colocaremos los datos anteriores en un *data frame*."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| Variable1 | Variable 2|\n",
    "|:---:|:---:|\n",
    "|4| 7.5|\n",
    "|-5.1|8|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df <- data.frame(variable1 = x, variable2 = y) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  variable1 variable2\n",
      "1         1       1.0\n",
      "2         2       1.5\n",
      "3         3       2.0\n"
     ]
    }
   ],
   "source": [
    "print(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El paquete `ggplot2` tiene funciones que añaden **capas de diferentes tipo** a una gráfica. Tales funciones tienen un argumento de nombre *mapping* que define cómo se mapean las variables a **propiedades visuales** de los objetos de una gráfica. Este argumento siempre se le acompaña de la función [aes](https://ggplot2.tidyverse.org/reference/aes.html) (`aes` se refiere a *aesthetics*) que recibe argumentos para las propiedades."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Un ejemplo para añadir una **capa de puntos** a la gráfica es [geom_point](https://ggplot2.tidyverse.org/reference/geom_point.html) que crea un *scatterplot*. En la función `aes` usamos los nombres `x` y `y` que son las **localizaciones** de los puntos cuyos valores los toman de las variables `variable1` y `variable2` del *data frame* anterior y que estarán en el eje horizontal y el eje vertical respectivamente. En este caso las localizaciones de los puntos son las propiedades visuales de la gráfica, *aka aesthetics*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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F0KEkgg7ekY0s9dPf7DtbXPggQSSB1D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\nAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "coordinate_system + geom_point(df, mapping = aes(x = variable1, y = variable2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Otra forma de usar la función `ggplot` es pasarle como argumento el *data frame* directamente:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "coordinate_system2 <- ggplot(data = df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Esto nos permite a no pasar el *data frame* en la función `geom_point`, obsérvese que también podemos omitir el nombre `mapping` de argumento:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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F0KEkgg7ekY0s9dPf7DtbXPggQSSB1D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\nAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "coordinate_system2 + geom_point(aes(x = variable1, y = variable2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Otros *aesthetics* son **tamaño, forma o color**, por ejemplo, y podemos hacer el mapeo de alguna propiedad a alguna variable de mi *data frame*. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "clase <- c(\"clase1\", \"clase2\", \"clase1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 <- data.frame(variable1 = x, variable2 = y, variable3=clase) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  variable1 variable2 variable3\n",
      "1         1       1.0    clase1\n",
      "2         2       1.5    clase2\n",
      "3         3       2.0    clase1\n"
     ]
    }
   ],
   "source": [
    "print(df2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "coordinate_system3 <- ggplot(data = df2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para el color usamos:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FJOCABAt3TrGbtly5adeuqpharLS6VS48eP/+Mf/1iawQAA+HS6FXa77777+vXr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\nYAcAACAT/wEcj3Zbfx9l/gAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "coordinate_system3 + geom_point(aes(x = variable1, y = variable2, color= variable3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Obsérvese que se ha elegido automáticamente un **color** para cada nivel de la `variable3` que es la clase y su leyenda."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para el **tamaño** y **color**:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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SNG7Lzzzu03GQAAm6VNYZfL5S699NIf/OAHuVyu5cZLL730kksu+d73vtduswEA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\nhR0AAIBK/D9gLkjF4zIsiwAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "coordinate_system3 + geom_point(aes(x = variable1, y = variable2, color = variable3),\n",
    "                                size = 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "O bien si queremos que varíe el **tamaño** de acuerdo a los valores de la `variable3` (aunque no tendría mucho sentido tener tamaños con valores `clase1` o `clase2`)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "“Using size for a discrete variable is not advised.”\n"
     ]
    },
    {
     "data": {
      "image/png": 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AkJElIkJEhIkJAiIUFCgoQUCQkSEiSk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\nAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "coordinate_system3 + geom_point(aes(x = variable1, y = variable2, size = variable3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cambiando la **forma**:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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GBIwZCAIQFDCoYEDAkYUjAkYEjAkIIhAUMChhQMCRgSMKRgSMCQgCEFQwKGBAwp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\nrkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "coordinate_system3 + geom_point(aes(x = variable1, y = variable2, shape = variable3),\n",
    "                                size = 5)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AwJGBIwpGBIwJCAIQVDAoYEDCkYEjAk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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "coordinate_system3 + geom_point(aes(x = variable1, y = variable2, color = variable3,\n",
    "                                    shape = variable3),\n",
    "                                size = 4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En resúmen la función `aes` dentro de `geom_point` nos ayuda a asociar el nombre de una *aesthetic* con una variable."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Podemos también establecer **de forma manual** los *aesthetics* por ejemplo el color:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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gWF5wijKDrqqKOuueaa++677/HHHx85cuQpp5xy9tlnv7e/LcABlB81KnvRRZnG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\nAAAmxA4AYELsAAAmAp/r5lRIbVn8AAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "coordinate_system2 + geom_point(aes(x = variable1, y = variable2), \n",
    "                                color = \"red\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El color y tamaño:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FPym0499dStW7cuW7bs9ddff/zxxx944IFZs2Z5Ix8oib2zZnVNmzbADj1/9med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\nQtgBAERC2AEAROILtu2mccKVU/8AAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "coordinate_system2 + geom_point(aes(x = variable1, y = variable2), \n",
    "                                color = \"red\",\n",
    "                                size=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El color, el tamaño y la forma:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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OHChoaGiRMnZrPZ5557rqmpad68eUUd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\nEH8Bt1jml4hfmkcAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "coordinate_system2 + geom_point(aes(x = variable1, y = variable2), \n",
    "                                color = \"red\",\n",
    "                                size=10, \n",
    "                                shape = c(20,10,0))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ver [r-plot-pch-symbols-the-different-point-shapes-available-in-r](http://www.sthda.com/english/wiki/r-plot-pch-symbols-the-different-point-shapes-available-in-r) como una referencia de los valores numéricos y formas para gráficas de puntos."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Añadiendo título:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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s45c1Ih2AEAUJu4GjYu63735dex33iL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\niakvAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "coordinate_system3 + geom_point(aes(x = variable1, y = variable2, color=variable3), \n",
    "                                size = 8) +\n",
    "                     ggtitle('Ejemplo')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Centrando el título y ajustando su tamaño:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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y+NeCvl2RLqW1b7b4DKTLT/ypIkmc1mX5RVFCUgIMAXlf1IlmXxVspgMEiSZLVa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\nAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "coordinate_system3 + geom_point(aes(x = variable1, y = variable2, color=variable3),\n",
    "                                size= 8) +\n",
    "                     ggtitle('Ejemplo') +\n",
    "                     theme(plot.title = element_text(size=20, hjust = 0.5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Centrando el título, ajustando su tamaño e incrementando tamaño de los rótulos de los ejes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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GUAAODvwMfBbsmSJfv37y+y8sMPP3QvDx069PHHHy97h6VOX1fYlStX1q1bd/N6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\nAABCEOwAAACE+P9WqfsTs6caFwAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "coordinate_system3 + geom_point(aes(x = variable1, y = variable2, color=variable3), \n",
    "                                size = 3) +\n",
    "                     ggtitle('Ejemplo') +\n",
    "                     theme(plot.title = element_text(size=20, hjust = 0.5),\n",
    "                           axis.text=element_text(size=16),\n",
    "                           axis.title=element_text(size=16))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## *Facets*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Si tenemos una variable que nos categorize nuestros datos podemos usar la función [facet_wrap](https://ggplot2.tidyverse.org/reference/facet_wrap.html) para graficar varios *subplots*. El primer argumento de esta función debe ser la variable de los datos utilizando el símbolo `~`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Por ejemplo, si tenemos los datos:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "npoints <- 21\n",
    "x <- rnorm(npoints)\n",
    "y <- rnorm(npoints)\n",
    "nclass1 <- npoints/3\n",
    "clase1_aux <- c(rep(\"a\", nclass1), rep(\"b\", nclass1), rep(\"c\", nclass1))\n",
    "clase1 <- sample(clase1_aux, npoints, replace=TRUE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "df <- data.frame(variable1 = x, variable2 = y, clase1 = clase1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    variable1   variable2 clase1\n",
      "1  -0.3323770  0.33985719      a\n",
      "2  -0.9515407 -0.29926856      a\n",
      "3   0.3754449  0.84102279      b\n",
      "4  -0.7041931 -1.45846489      a\n",
      "5   1.7161821 -0.45047077      c\n",
      "6  -1.0625323 -0.78560868      c\n",
      "7   2.0237149  0.30563012      b\n",
      "8  -0.9244470 -1.39334631      c\n",
      "9  -1.3302126 -1.39594303      b\n",
      "10  1.7817613  1.38024564      c\n",
      "11  0.9430413  0.15588969      b\n",
      "12  0.5878496  0.82482556      a\n",
      "13  0.2201207 -0.07599198      a\n",
      "14 -0.5575107 -1.59499598      c\n",
      "15 -2.7012652  0.53916459      b\n",
      "16 -1.6363220  0.69896739      a\n",
      "17 -0.7528985  0.89745188      c\n",
      "18  0.7685870 -0.69137403      b\n",
      "19 -0.5700250  0.52966201      b\n",
      "20  2.8041229  1.17710694      b\n",
      "21 -1.0798912  2.08742723      b\n"
     ]
    }
   ],
   "source": [
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "csystem <- ggplot(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QMAAE1YWf31M2XvGl/er6s3/TDHp/tj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\nJEGxAwAAkATFDgAAQBIUOwAAAEn8f1If8iUUk84JAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "csystem + geom_point(aes(x = variable1, y = variable2, color = clase1),\n",
    "                     size = 5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Usamos `facet_wrap` y `ncol` para número de columnas, obsérvese que la variable categórica es usada como `~clase1`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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oBk1wdSCKQ4IAEpG5AkIElAMgFJApIE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\nqAgBiagIAYmoCAGJqAj9fw+oUoRlrWLMAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "csystem + geom_point(aes(x = variable1, y = variable2),\n",
    "                     size = 5) +\n",
    "          facet_wrap(~clase1, ncol = 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`nrow` para número de renglones:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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W0CSEAC0sN2R4ML3ASQgASklbvYII0t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\nRORBQCLyICARedD/A6xzl8ppeXhBAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "csystem + geom_point(aes(x = variable1, y = variable2),\n",
    "                     size = 5) +\n",
    "          facet_wrap(~clase1, nrow=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Y si tenemos otra variable que también nos categorize los datos y queremos hacer la subdivisión por ambas variables podemos usar la función [facet_grid](https://ggplot2.tidyverse.org/reference/facet_grid.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "nclass2 <- npoints/2\n",
    "clase2_aux <- c(rep(\"X\", nclass2), rep(\"O\", nclass2))\n",
    "clase2 <- sample(clase2_aux, npoints, replace=TRUE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Al *data frame* anterior le añadimos la variable `clase2` con la siguiente línea:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "df$clase2 <- clase2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Data frame*:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    variable1   variable2 clase1 clase2\n",
      "1  -0.3323770  0.33985719      a      X\n",
      "2  -0.9515407 -0.29926856      a      O\n",
      "3   0.3754449  0.84102279      b      O\n",
      "4  -0.7041931 -1.45846489      a      X\n",
      "5   1.7161821 -0.45047077      c      X\n",
      "6  -1.0625323 -0.78560868      c      X\n",
      "7   2.0237149  0.30563012      b      O\n",
      "8  -0.9244470 -1.39334631      c      O\n",
      "9  -1.3302126 -1.39594303      b      X\n",
      "10  1.7817613  1.38024564      c      O\n",
      "11  0.9430413  0.15588969      b      O\n",
      "12  0.5878496  0.82482556      a      O\n",
      "13  0.2201207 -0.07599198      a      O\n",
      "14 -0.5575107 -1.59499598      c      O\n",
      "15 -2.7012652  0.53916459      b      X\n",
      "16 -1.6363220  0.69896739      a      O\n",
      "17 -0.7528985  0.89745188      c      X\n",
      "18  0.7685870 -0.69137403      b      X\n",
      "19 -0.5700250  0.52966201      b      O\n",
      "20  2.8041229  1.17710694      b      X\n",
      "21 -1.0798912  2.08742723      b      O\n"
     ]
    }
   ],
   "source": [
    "print(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creamos otro sistema de coordenadas con los datos incorporando la variable `clase2`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "csystem2 <- ggplot(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7HbafmcicNVtGEskA7y5q9FPZlfS2XTBo60A4B2ws3F7oCW/DkQnD+BbKPs2J7c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\nrkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "csystem2 + geom_point(aes(x = variable1, y = variable2, color = clase2),\n",
    "                     size = 5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Podemos volver a usar `facet_wrap`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QISkExA0vJB+nDHEkdH8Fo7IBUDkpb/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\nAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "csystem2 + geom_point(aes(x = variable1, y = variable2),\n",
    "                     size = 5) +\n",
    "           facet_wrap(~clase2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Usamos `facet_grid` con la expresión `clase1 ~ clase2`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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OS3yIhiaUjTsyYiISW2UNygvvC2c6RCuk/xcZ8f8ltkRHFRv0dqatFMm26xxdYv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\n48MQEsP4MITEMD4MITGMD/P/ZrNbdgNFB9YAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "csystem2 + geom_point(aes(x = variable1, y = variable2),\n",
    "                     size = 5) +\n",
    "           facet_grid(clase1~clase2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LmUucbtbAdD4mEAAEC10Ni5QXa3PQoDundQ1TbMzEFfLVMeAABQFTR2rqDryRnH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\n4IlEIrF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UlJyW9/+9vrr79+9+7dP/nJ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\nsQMAAPCI/x+C1Yr6J/F/WgAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "csystem2 + geom_point(aes(x = variable1, y = variable2,color=clase1),\n",
    "                     size = 5) +\n",
    "           facet_grid(clase1~clase2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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4uZa+w+djAkHgYAAFQKjZ0bZPY/MD+geztVbcNMTzm2RHkAAEBF0Ni5gq4nTjnd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\nggU//vGPd7iuXBG62mI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/+n5XbbPOkt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\nBI0dAACAT9DYAQAA+MT/A5BM1Fj0rJs1AAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "csystem2 + geom_point(aes(x = variable1, y = variable2,color=clase2),\n",
    "                     size = 5) +\n",
    "           facet_grid(clase1~clase2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "O bien con la expresión `clase2 ~ clase1`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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bAiVVVl/6bFFe00VbZKPPxFdn3wDw32cx/fxrDggB2tvWNFxf+4L8/DfBGepkwZ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\nOwAAgIigsQMAAIiI/w/nDmeYDJGMTgAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "csystem2 + geom_point(aes(x = variable1, y = variable2,color=clase1),\n",
    "                     size = 5) +\n",
    "           facet_grid(clase2~clase1)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "4.2.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}