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Simulación Puntajes PSU
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| library(tidyverse) | |
| library(hrbrthemes) | |
| library(truncnorm) | |
| set.seed(100) | |
| psu <- data.frame(puntaje = rtruncnorm(10000,150,850,500,110)) | |
| #baseline | |
| p <- ggplot(psu, aes(x=puntaje)) | |
| # Linea de promedio y ejes | |
| p <- p + geom_density(col = "#9986A5") + theme_ipsum_rc() + | |
| theme(panel.grid.major.x = element_blank(), | |
| panel.grid.minor = element_blank(), | |
| axis.line = element_line(size = 1, colour = "darkgrey")) | |
| # Lineas de una desviación estándar a cada extremo | |
| p <- p + geom_segment(aes(x = 500, y = 0, xend = 500, yend = 0.00365), color="#9986A5",linetype="dashed") + | |
| geom_segment(aes(x = 390, y = 0, xend = 390, yend = 0.0022), color="#C6CDF7",linetype="dashed") + | |
| geom_segment(aes(x = 610, y = 0, xend = 610, yend = 0.0022), color="#C6CDF7",linetype="dashed") | |
| # Lineas de 1.96 desviaciones estándar | |
| p <- p + geom_segment(aes(x = 284.4, y = 0, xend = 284.4, yend = 0.0005), color="#C6CDF7",linetype="dashed") + | |
| geom_segment(aes(x = 715.6, y = 0, xend = 715.6, yend = 0.0005), color="#C6CDF7",linetype="dashed") | |
| # texto | |
| p <- p + annotate(geom = "text", | |
| x = 250, y = 0.0001, | |
| label = "2,5%") + | |
| annotate(geom = "text", | |
| x = 350, y = 0.0001, | |
| label = "13,5%") + | |
| annotate(geom = "text", | |
| x = 450, y = 0.0001, | |
| label = "34%") + | |
| annotate(geom = "text", | |
| x = 550, y = 0.0001, | |
| label = "34%") + | |
| annotate(geom = "text", | |
| x = 650, y = 0.0001, | |
| label = "13,5%") + | |
| annotate(geom = "text", | |
| x = 750, y = 0.0001, | |
| label = "2,5%") | |
| # Titulo y comentarios | |
| p <- p + | |
| labs(title = "Distribución puntajes PSU", | |
| subtitle = "El promedio se estandariza en 500 con una desviación estándar de 110. \nAdemás la distribución se trunca, ya que nadie puede tener menos de 150 ni más de 850 puntos", | |
| caption = "Fuente: Simulación \n Javier Sajuria") + | |
| scale_x_continuous("Puntajes", | |
| breaks = c(150,200,300,400,500,600,700,800,850)) + | |
| scale_y_continuous("", breaks = c()) | |
| p |
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