Создайте дискретную цветную полосу с различными интервалами ширины и без промежутков между уровнями легенды - PullRequest
0 голосов
/ 24 мая 2018

Я бы хотел воспроизвести эту цветовую шкалу в ggplot2: enter image description here ( Источник )

В прошлом я нашел ., что создание дискретных цветовых шкал с метками между ggplot2 может быть сложным.

Может ли это быть достигнуто вообще?Подобный, но не полностью идентичный вопрос, который я недавно задал, - этот один.

Ответы [ 3 ]

0 голосов
/ 25 мая 2018

Вдохновленный ответом @ Хенрика на этот вопрос , возможный обходной путь - создать сюжет, похожий на легенду:)

require(ggplot2)
require(cowplot)


values <- c(0,1,2,5,10) # this vector is needed not only for the data frame cbar, but also for plotting
group <- letters[1:5]
diff_values <- c(0, diff(values))
cbar_df <- data.frame(x = 1, y = values, diff_values,group,  stringsAsFactors = FALSE)
#that's for the fake legend

iris2 <- iris #don't want to mess with your iris data set
              #I used iris because you hadn't provided data
iris2$cuts <- cut(iris2$Petal.Length, values) #the already offered 'cut-approach' 


p1  <- ggplot(iris2, aes(Sepal.Length, y = Sepal.Width, color = cuts))+ 
          geom_point() +
          scale_color_brewer("", palette = "Reds")

cbar_plot <- ggplot(cbar_df, aes(x, y = diff_values, fill = c(NA, rev(group[2:5])))) + 
  # I had to do implement this 'fill=' workaround 
  # in creating a new vector introducing an NA, 
  # and I had to flip the fills in order to fit to the scale... 
    geom_col(width = 0.1, show.legend = FALSE)  +
    geom_segment(y = values, yend = values, x = 0.9, xend = 1.05) +
    annotate(geom = 'text', x = 0.85, y = values, label = values) +
  # the numbers are quasi-randomly chosen but define the length of your ticks, obviously
    scale_x_continuous(expand = c(1,1)) + 
  # you might need to play around with the expand argument for the width of your legend
    scale_fill_brewer("", palette = "Reds", direction = -1) +  
  # don't know why you have to flip this again... 
    coord_flip() +
    theme_void()

plot_grid(p1, cbar_plot, nrow = 2)

enter image description here

Я имею в виду - безусловно, есть много возможностей для улучшения (уменьшение сюжета легенды и т. Д.).Но что ты думаешь?

#P.S. 
sessionInfo() 
cowplot_0.9.2 ggplot2_2.2.1
0 голосов
/ 26 мая 2018

Благодаря ответу Tjebo мне удалось создать функцию, которая отображает красивую цветную полосу, которая будет добавлена ​​к графикам с помощью cowplot, patchwork или других подобных пакетов, как в его примере.

Вот оно: РЕДАКТИРОВАТЬ: вы также можете найти его на github

plot_discrete_cbar = function(
    breaks, # Vector of breaks. If +-Inf are used, triangles will be added to the sides of the color bar
    palette = "Greys", # RColorBrewer palette to use
    colors = RColorBrewer::brewer.pal(length(breaks) - 1, palette), # Alternatively, manually set colors
    direction = 1, # Flip colors? Can be 1 or -1
    spacing = "natural", # Spacing between labels. Can be "natural" or "constant"
    border_color = NA, # NA = no border color
    legend_title = NULL,
    legend_direction = "horizontal", # Can be "horizontal" or "vertical"
    font_size = 5,
    expand_size = 1, # Controls spacing around legend plot
    spacing_scaling = 1, # Multiplicative factor for label and legend title spacing
    width = 0.1, # Thickness of color bar
    triangle_size = 0.1 # Relative width of +-Inf triangles
) {
    require(ggplot2)
    if (!(spacing %in% c("natural", "constant"))) stop("spacing must be either 'natural' or 'constant'")
    if (!(direction %in% c(1, -1))) stop("direction must be either 1 or -1")
    if (!(legend_direction %in% c("horizontal", "vertical"))) stop("legend_direction must be either 'horizontal' or 'vertical'")
    breaks = as.numeric(breaks)
    new_breaks = sort(unique(breaks))
    if (any(new_breaks != breaks)) warning("Wrong order or duplicated breaks")
    breaks = new_breaks
    if (class(colors) == "function") colors = colors(length(breaks) - 1)
    if (length(colors) != length(breaks) - 1) stop("Number of colors (", length(colors), ") must be equal to number of breaks (", length(breaks), ") minus 1")
    if (!missing(colors)) warning("Ignoring RColorBrewer palette '", palette, "', since colors were passed manually")

    if (direction == -1) colors = rev(colors)

    inf_breaks = which(is.infinite(breaks))
    if (length(inf_breaks) != 0) breaks = breaks[-inf_breaks]
    plotcolors = colors

    n_breaks = length(breaks)

    labels = breaks

    if (spacing == "constant") {
        breaks = 1:n_breaks
    }

    r_breaks = range(breaks)

    cbar_df = data.frame(stringsAsFactors = FALSE,
        y = breaks,
        yend = c(breaks[-1], NA),
        color = as.character(1:n_breaks)
    )[-n_breaks,]

    xmin = 1 - width/2
    xmax = 1 + width/2

    cbar_plot = ggplot(cbar_df, aes(xmin=xmin, xmax = xmax, ymin = y, ymax = yend, fill = factor(color, levels = 1:length(colors)))) +
        geom_rect(show.legend = FALSE,
                  color=border_color)

    if (any(inf_breaks == 1)) { # Add < arrow for -Inf
        firstv = breaks[1]
        polystart = data.frame(
            x = c(xmin, xmax, 1),
            y = c(rep(firstv, 2), firstv - diff(r_breaks) * triangle_size)
        )
        plotcolors = plotcolors[-1]
        cbar_plot = cbar_plot +
            geom_polygon(data=polystart, aes(x=x, y=y),
                        show.legend = FALSE,
                        inherit.aes = FALSE,
                        fill = colors[1],
                        color=border_color)
    }
    if (any(inf_breaks > 1)) { # Add > arrow for +Inf
        lastv = breaks[n_breaks]
        polyend = data.frame(
            x = c(xmin, xmax, 1),
            y = c(rep(lastv, 2), lastv + diff(r_breaks) * triangle_size)
        )
        plotcolors = plotcolors[-length(plotcolors)]
        cbar_plot = cbar_plot +
            geom_polygon(data=polyend, aes(x=x, y=y),
                        show.legend = FALSE,
                        inherit.aes = FALSE,
                        fill = colors[length(colors)],
                        color=border_color)
    }

    if (legend_direction == "horizontal") { #horizontal legend
        mul = 1
        x = xmin
        xend = xmax
        cbar_plot = cbar_plot + coord_flip()
        angle = 0
        legend_position = xmax + 0.1 * spacing_scaling
    } else { # vertical legend
        mul = -1
        x = xmax
        xend = xmin
        angle = -90
        legend_position = xmax + 0.2 * spacing_scaling
    }

    cbar_plot = cbar_plot +
        geom_segment(data=data.frame(y = breaks, yend = breaks),
            aes(y=y, yend=yend),
            x = x - 0.05 * mul * spacing_scaling, xend = xend,
            inherit.aes = FALSE) +
        annotate(geom = 'text', x = x - 0.1 * mul * spacing_scaling, y = breaks,
                label = labels,
                size = font_size) +
        scale_x_continuous(expand = c(expand_size,expand_size)) +
        scale_fill_manual(values=plotcolors) +
        theme_void()

    if (!is.null(legend_title)) { # Add legend title
        cbar_plot = cbar_plot +
            annotate(geom = 'text', x = legend_position, y = mean(r_breaks),
                label = legend_title,
                angle = angle,
                size = font_size)
    }

    cbar_plot
}

Пример использования:

plot_discrete_cbar(c(1:10))

enter image description here

plot_discrete_cbar(c(0,2,5,10,20, Inf), palette="Reds")

enter image description here

plot_discrete_cbar(c(0,2,5,10,20, Inf), colors=rainbow, legend_direction="vertical", legend_title="A title! WOW!", border_color="red")

enter image description here

plot_discrete_cbar(c(-Inf, -8, -4, -2, -1, 1, 2, 4, 8, Inf), palette="BrBG", legend_title="Precipitation bias (mm/day)")

enter image description here

plot_discrete_cbar(c(-Inf, -8, -4, -2, -1, 1, 2, 4, 8, Inf), palette="BrBG", legend_title="Precipitation bias (mm/day)", spacing="constant")

enter image description here

0 голосов
/ 24 мая 2018

Вы можете попробовать.Первый ответ см. Также здесь

# data
set.seed(1324)
dat <- data.frame(x=0:100, y=runif(101, 0, 10), z=seq(0, 12, len=101))
# add discrete values
dat$col <- cut(include.lowest = T,
  dat$z, 
  breaks=c(0, 2, 4, 6, 8, max(dat$z)), 
  labels=c(2, 4, 6, 8, 10)
)
# Discete
ggplot(dat, aes(x,y,fill=col)) + 
  geom_point(aes(col=col),size=8, show.legend = F) +   
  geom_col(alpha=0)+
  scale_fill_brewer("", palette = "Reds")+
  scale_colour_brewer("", palette="Reds")+
  scale_alpha_discrete(range=c(0,1))+
  guides(fill = guide_legend(nrow=1,override.aes = list(alpha = 1), 
                             label.position="bottom",
                             label.hjust = -0.05)) +
  theme(legend.position="bottom",
        legend.key.width = unit(3, "cm"), 
        legend.key.height = unit(1, "cm"))

enter image description here

# Continuous
ggplot(dat, aes(x,y,color=y)) + 
  geom_point(size=8) +   
  scale_colour_continuous("",limits=c(0,10), 
                          breaks=c(0, 2, 4, 6, 8, 10),low = "white", high = "red")+
  theme(legend.position="bottom",
        legend.key.width = unit(3, "cm"), 
        legend.key.height = unit(1, "cm"))

enter image description here

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