inst/app-visualize/helper/ggscatter.R

library(ggplot2)

# add text annotations
gscatter <- function(data, x, y, aes_var = FALSE, reg_line = FALSE,
                     reg_method = 'lm', reg_se = TRUE, theme = "Default",
                     title = NULL, xlab = NULL, ylab = NULL, sub = NULL,
                      color = 'black', shape = 1, size = 1, fill = 'black', 
                      xaxlimit = FALSE, yaxlimit = FALSE,
                      x1 = NA, x2 = NA, y1 = NA, y2 = NA, title_col = 'black', 
                      title_fam = 'serif', title_face = 'plain', 
                      title_size = 10, title_hjust = 0.5, title_vjust = 0.5,
                      sub_col = 'black', sub_fam = 'serif', sub_face = 'plain', 
                      sub_size = 10, sub_hjust = 0.5, sub_vjust = 0.5,
                      xax_col = 'black', xax_fam = 'serif', 
                      xax_face = 'plain', xax_size = 10, 
                      xax_hjust = 0.5, xax_vjust = 0.5,
                      yax_col = 'black', yax_fam = 'serif', 
                      yax_face = 'plain', yax_size = 10, 
                      yax_hjust = 0.5, yax_vjust = 0.5,
                      remove_xax = FALSE, remove_yax = FALSE,
                      add_text = FALSE, xloc = NA, yloc = NA, label = NA,
                      tex_color = NA, tex_size = NA) {
  
  if(aes_var) {
    if(is.numeric(shape)) {
      p <- ggplot(data = data, mapping = aes_string(x = x, y = y, 
        colour = color, shape = color, size = size)) +
        geom_point()
    } else {
      p <- ggplot(data = data, mapping = aes_string(x = x, y = y, 
        colour = color, shape = shape, size = size)) +
        geom_point()
    }
    if(is.numeric(size)) {
      p <- p + labs(size = 'Size')
    }
  } else {
    p <- ggplot(data = data, mapping = aes_string(x = x, y = y)) +
      geom_point(colour = color, shape = shape, size = size, fill = fill)
  }
  
  if(reg_line) {
    p <- p + geom_smooth(method = reg_method, se = reg_se)
    p
  }
  
  p <- p + ggtitle(title) + xlab(xlab) + ylab(ylab) +
    theme(
      plot.title = element_text(color = title_col, family = title_fam,
                                face = title_face, size = title_size, hjust = title_hjust,
                                vjust = title_vjust),
      plot.subtitle = element_text(color = sub_col, family = sub_fam,
                                face = sub_face, size = sub_size, hjust = sub_hjust,
                                vjust = sub_vjust),
      axis.title.x = element_text(color = xax_col, family = xax_fam,
                                  face = xax_face, size = xax_size, hjust = xax_hjust,
                                  vjust = xax_vjust),
      axis.title.y = element_text(color = yax_col, family = yax_fam,
                                  face = yax_face, size = yax_size, hjust = yax_hjust,
                                  vjust = yax_vjust)
    )
  
  if(xaxlimit) {
    p <- p + xlim(x1, x2)
    p
  }
  
  if (yaxlimit) {
    p <- p + ylim(y1, y2)
    p
  }
  
  if(remove_xax) {
    p <- p + theme(
      axis.title.x = element_blank()
    )
    p
  }
  
  if(remove_yax) {
    p <- p + theme(
      axis.title.y = element_blank()
    )
    p
  }
  
  if(add_text) {
    p <- p + annotate("text", x = xloc, y = yloc, label = label, 
                      color = tex_color, size = tex_size)
    p
  }

  if (theme == "Classic Dark") {
    p <- p + theme_bw()
  } else if (theme == "Light") {
    p <- p + theme_light()
  } else if (theme == "Minimal") {
    p <- p + theme_minimal()
  } else if (theme == "Dark") {
    p <- p + theme_dark()
  } else if (theme == "Classic") {
    p <- p + theme_classic()
  } else if (theme == "Empty") {
    p <- p + theme_void()
  }
  
  p
}



# test
# mtcars$cyl <- as.factor(mtcars$cyl)
# mtcars$gear <- as.factor(mtcars$gear)
# mtcars$am <- as.factor(mtcars$am)

# gscatter(mtcars, 'disp', 'mpg', aes_var = TRUE, 
#           color = 'cyl')
            
# k <- gscatter(mtcars, 'disp', 'mpg', aes_var = FALSE, 
#           color = 'red', shape = 22, size = 3, fill = 'blue',
#           reg_line = TRUE, reg_method = 'loess', reg_se = FALSE)
rsquaredacademy/xplorerr documentation built on May 25, 2021, 6:57 a.m.