## ----setup, include=FALSE----------------------------------------------------- knitr::opts_chunk$set(echo = TRUE) ## ----simulate----------------------------------------------------------------- # Load the scatterbar library library(scatterbar) # Define positional data: coordinates (x, y) for each spot pos <- data.frame(x = c(1,1,2,2), y = c(1,2,1,2)) # Define proportional data: proportions of different categories (p1, p2, p3, p4) at each spot prop <- matrix(c(0.5, 0.5, 0, 0, 0.5, 0, 0, 0.5, 0, 0.5, 0.5, 0, 0, 0, 0.5, 0.5), nrow=4) # Assign row names to both positional and proportional data, representing the spot identifiers rownames(pos) <- rownames(prop) <- c('a','b','c','d') # Assign column names to the proportional data, representing the categories/groups colnames(prop) <- c('Dogs', 'Cats', 'Fish', 'Snakes') # Print out the positional data print(pos) # Print out the positional data print(prop) ## ----pressure----------------------------------------------------------------- # Basic scatterbar plot with default settings scatterbar(prop, pos) # Scatterbar plot with a black-and-white theme and customized y-axis label scatterbar(prop, pos) + ggplot2::theme_bw() + ggplot2::ylab('y') # Scatterbar plot with fixed x and y scale factors of 1 (size_x and size_y) scatterbar(prop, pos, size_x = 1, size_y = 1) + ggplot2::theme_bw() + ggplot2::ylab('y') # Scatterbar plot with padding applied to the x and y axes, making the tiles slightly smaller scatterbar(prop, pos, size_x = 1, size_y = 1, padding_x = 0.1, padding_y = 0.1) + ggplot2::theme_bw() + ggplot2::ylab('y') # Scatterbar plot with flipped coordinates, so that x and y axes are interchanged scatterbar(prop, pos, size_x = 1, size_y = 1, padding_x = 0.1, padding_y = 0.1) + ggplot2::theme_bw() + ggplot2::ylab('y') + ggplot2::coord_flip() # Scatterbar plot with customized legend title scatterbar(prop, pos, size_x = 1, size_y = 1, padding_x = 0.1, padding_y = 0.1, legend_title= "Animals") + ggplot2::theme_bw() + ggplot2::ylab('y') # Scatterbar plot using the custom colors # Define a custom set of colors for the categories custom_colors <- c("#FF0000", # Red "#00FF00", # Green "#0000FF", # Blue "#A020F0") # Purple scatterbar(prop, pos, size_x = 1, size_y = 1, padding_x = 0.1, padding_y = 0.1, legend_title= "Animals", colors=custom_colors) + ggplot2::theme_bw() + ggplot2::ylab('y') # Scatterbar plot with title scatterbar(prop, pos, size_x = 1, size_y = 1, padding_x = 0.1, padding_y = 0.1, legend_title= "Animals", colors=custom_colors) + ggplot2::theme_bw() + ggplot2::ylab('y') + ggplot2::labs(title="Favorite Animals Among Classrooms") # Scatterbar plot modifying the order of categories plotted scatterbar(prop[, c("Fish", "Snakes", "Cats", "Dogs")], pos, size_x = 1, size_y = 1, padding_x = 0.1, padding_y = 0.1, legend_title= "Animals", colors=custom_colors) + ggplot2::theme_bw() + ggplot2::ylab('y') + ggplot2::labs(title="Favorite Animals Among Classrooms") ## ----test--------------------------------------------------------------------- # Define a new proportional data matrix where proportions do not sum to 1 prop <- matrix(c(0.1, 0.2, 0, 0, 0.1, 0, 0, 0.4, 0, 0.2, 0.3, 0, 0, 0, 0.3, 0.4), nrow=4) # Assign row names representing the spots rownames(prop) <- c('a','b','c','d') # Assign column names representing the categories/groups colnames(prop) <- c('Dogs', 'Cats', 'Fish', 'Snakes') # Print the new proportional data print(prop) # Create a scatterbar plot with the new data scatterbar(prop, pos) # Customize the scatterbar plot using a black-and-white theme and customized y-axis label scatterbar(prop, pos) + ggplot2::theme_bw() + ggplot2::ylab('y') # Create a scatterbar plot with fixed x and y scales and customized theme scatterbar(prop, pos, size_x = 1, size_y = 1) + ggplot2::theme_bw() + ggplot2::ylab('y') # Apply padding to the scatterbar plot to make the tiles smaller scatterbar(prop, pos, size_x = 1, size_y = 1, padding_x = 0.1, padding_y = 0.1) + ggplot2::theme_bw() + ggplot2::ylab('y') # Scatterbar plot with flipped coordinates scatterbar(prop, pos, size_x = 1, size_y = 1, padding_x = 0.1, padding_y = 0.1) + ggplot2::theme_bw() + ggplot2::ylab('y') + ggplot2::coord_flip() # Scatterbar plot with customized legend title scatterbar(prop, pos, size_x = 1, size_y = 1, padding_x = 0.1, padding_y = 0.1, legend_title= "Animals") + ggplot2::theme_bw() + ggplot2::ylab('y') # Scatterbar plot using the custom colors # Define a custom set of colors for the categories custom_colors <- c("#FF0000", # Red "#00FF00", # Green "#0000FF", # Blue "#A020F0") # Purple scatterbar(prop, pos, size_x = 1, size_y = 1, padding_x = 0.1, padding_y = 0.1, legend_title= "Animals", colors=custom_colors) + ggplot2::theme_bw() + ggplot2::ylab('y') # Scatterbar plot with title scatterbar(prop, pos, size_x = 1, size_y = 1, padding_x = 0.1, padding_y = 0.1, legend_title= "Animals", colors=custom_colors) + ggplot2::theme_bw() + ggplot2::ylab('y') + ggplot2::labs(title="Favorite Animals Among Classrooms") # Scatterbar plot modifying the order of categories plotted scatterbar(prop[, c("Fish", "Snakes", "Cats", "Dogs")], pos, size_x = 1, size_y = 1, padding_x = 0.1, padding_y = 0.1, legend_title= "Animals", colors=custom_colors) + ggplot2::theme_bw() + ggplot2::ylab('y') + ggplot2::labs(title="Favorite Animals Among Classrooms")