Backup from laptop
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2 changed files with 88 additions and 3 deletions
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@ -7,6 +7,7 @@
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#' @param title_size The size of the title. Defaults to 12.
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#' @param title_color Title color.
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#' @param title_font_face Title font face. Default to "bold". Font face ("plain", "italic", "bold", "bold.italic").
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#' @param title_hjust Title horizontal justification. Default to NULL. Use 0.5 to center the title.
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#' @param text_size The size of all text other than the title, subtitle and caption. Defaults to 10.
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#' @param text_color Text color.
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#' @param text_font_face Text font face. Default to "bold". Font face ("plain", "italic", "bold", "bold.italic").
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@ -62,6 +63,7 @@ theme_reach <- function(
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title_size = 12,
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title_color = cols_reach("main_grey"),
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title_font_face = "bold",
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title_hjust = NULL,
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title_position_to_plot = TRUE,
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text_size = 10,
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text_color = cols_reach("main_grey"),
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@ -147,9 +149,13 @@ theme_reach <- function(
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face = axis_title_font_face,
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color = axis_title_color),
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# Wrap title
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plot.title = ggtext::element_textbox_simple(),
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plot.subtitle = ggtext::element_textbox_simple(),
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plot.caption = ggtext::element_textbox_simple(),
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plot.title = ggtext::element_textbox(
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hjust = title_hjust
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),
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plot.subtitle = ggtext::element_textbox(
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hjust = title_hjust
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),
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plot.caption = ggtext::element_textbox(),
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legend.title = ggplot2::element_text(
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size = legend_title_size,
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face = legend_title_font_face,
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79
R/waffle.R
79
R/waffle.R
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@ -93,3 +93,82 @@ waffle <- function(df,
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return(g)
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}
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#
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# # Make a waffle plot with ggplot2 that shows 100 squares and the already summarized proportions of the following data frame as input: df <- data.frame(category = c("Category 1", "Category 2", "Category 3"),proportion = c(0.1, 0.8, 0.1))
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#
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#
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# # Make a waffle plot using ggplot2 that shows 100 squares and the already summarized proportions of the following data frame as input: df <- data.frame(category = c("Category 1", "Category 2", "Category 3"),proportion = c(0.1, 0.8, 0.1))
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#
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# # Load the ggplot2 package
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# library(ggplot2)
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#
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# # Create a vector with the number of squares for each category
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# num_squares <- round(df$proportion * 100)
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#
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# # Create a vector with the category labels (repeated by the number of squares)
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# labels <- rep(df$category, times = num_squares)
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#
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# # Create a data frame with the labels and a numeric variable for the x and y positions
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# waffle_df <- data.frame(
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# x = rep(1:10, times = 10),
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# y = rep(1:10, each = 10),
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# label = labels
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# )
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#
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# # Create the plot using ggplot2
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# ggplot(waffle_df, aes(x = x, y = y, fill = label)) +
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# geom_tile(color = "white", size = 0.5) +
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# scale_fill_manual(values = c("#F8766D", "#00BA38", "#619CFF")) +
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# theme_void()
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# # Load the ggplot2 package
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# library(ggplot2)
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#
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# # Create a vector of labels for the categories
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# labels <- df$category
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#
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# # Create a vector with the number of squares for each category, based on the proportions
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# numsquares <- round(df$proportion * 100)
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#
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# # Create a data frame with the labels and the number of squares
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# df_waffle <- data.frame(
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# category = rep(labels, numsquares),
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# square = rep(1:100)
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# )
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#
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# # Create the plot using ggplot
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# ggplot(df_waffle, aes(x = factor(1), fill = category)) +
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# geom_bar(stat = "count") +
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# scale_fill_brewer(palette = "Set2") +
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# coord_polar(theta = "y") +
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# theme_void() +
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# guides(fill = guide_legend(title = "Category"))
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#
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#
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#
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#
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#
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#
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# # Load the 'waffle' package for creating waffle charts
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# library(waffle)
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#
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# # Define the input data
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# df <- data.frame(
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# category = c("Category 1", "Category 2", "Category 3"),
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# proportion = c(10.2, 80, 9.8)
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# )
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#
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# reach_co
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#
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# # Create a waffle chart with 100 squares
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# waffle::waffle(setNames(df$proportion*100, df$category), rows = 10,
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# legend_pos = "bottom", title = "Waffle Chart") +
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# theme_reach(axis_x = FALSE, axis_y = FALSE, title_position_to_plot = FALSE, grid_major_x = FALSE, grid_major_y = FALSE, legend_position = "bottom", legend_direction = "horizontal")
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#
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# ggplot2::theme(plot.title = ggplot2::element_text(hjust = 0.5))
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#
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# # Add a legend that shows the labels for each category
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# legend(x = "bottom", legend = df$category, fill = c("#F8766D", "#00BA38", "#619CFF"))
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#
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# # waffle plot that shows 100 squares and the already summarized proportions of the following dataframe as input:
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# df <- data.frame(category = c("Category 1", "Category 2", "Category 3", "Category 4"), proportion = c(0.1, 0.5, 0.1, 0.3,))
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