視覚属性の変更

ggplot2 を使ったデータ可視化入門

Rick Scavetta

Founder, Scavetta Academy

位置調整

重なりの調整

identity
dodge
stack
fill
jitter
jitterdodge
nudge

position = "identity" (デフォルト)

ggplot(iris, aes(x = Sepal.Length, 
                 y = Sepal.Width, 
                 color = Species)) + 
  geom_point()

position = "identity" (デフォルト)

ggplot(iris, aes(x = Sepal.Length, 
                 y = Sepal.Width, 
                 color = Species)) + 
  geom_point(position = "identity")

position = "jitter"

ggplot(iris, aes(x = Sepal.Length, 
                 y = Sepal.Width, 
                 color = Species)) + 
  geom_point(position = "jitter")

position_jitter()

posn_j <- position_jitter(0.1)

ggplot(iris, aes(x = Sepal.Length, 
                 y = Sepal.Width, 
                 col = Species)) +
  geom_point(position = posn_j)

position_jitter()

posn_j <- position_jitter(0.1, 
                          seed = 136)

ggplot(iris, aes(x = Sepal.Length, 
                 y = Sepal.Width, 
                 color = Species)) + 
  geom_point(position = posn_j)

位置調整のための引数を設定する
プロット間・レイヤー間の一貫性

スケール関数

scale_x_*()
scale_y_*()
scale_color_*()
- scale_colour_*() もあります。
scale_fill_*()
scale_shape_*()
scale_linetype_*()
scale_size_*()

スケール関数

scale_x_continuous()
scale_y_*()
scale_color_discrete()
- 別の表記として、scale_colour_*() も使えます。
scale_fill_*()
scale_shape_*()
scale_linetype_*()
scale_size_*()

scale**()

ggplot(iris, aes(x = Sepal.Length, 
                 y = Sepal.Width, 
                 color = Species)) + 
  geom_point(position = "jitter") +
  scale_x_continuous("Sepal Length") +
  scale_color_discrete("Species")

limits 引数

ggplot(iris, aes(x = Sepal.Length, 
                  y = Sepal.Width, 
                 color = Species)) + 
  geom_point(position = "jitter") +
  scale_x_continuous("Sepal Length", 
                     limits = c(2,8)) +
  scale_color_discrete("Species")

breaks 引数

ggplot(iris, aes(x = Sepal.Length, 
                  y = Sepal.Width, 
                 color = Species)) + 
  geom_point(position = "jitter") +
  scale_x_continuous("Sepal Length", 
                     limits = c(2, 8), 
                     breaks = seq(2, 8, 3)) +
  scale_color_discrete("Species")

expand 引数

ggplot(iris, aes(x = Sepal.Length, 
                  y = Sepal.Width, 
                 color = Species)) + 
  geom_point(position = "jitter") +
  scale_x_continuous("Sepal Length", 
                     limits = c(2, 8), 
                     breaks = seq(2, 8, 3),
                     expand = c(0, 0)) +
  scale_color_discrete("Species")

labels 引数

ggplot(iris, aes(x = Sepal.Length, 
                  y = Sepal.Width, 
                 color = Species)) + 
  geom_point(position = "jitter") +
  scale_x_continuous("Sepal Length", 
                     limits = c(2, 8), 
                     breaks = seq(2, 8, 3),
                     expand = c(0, 0), 
                     labels = c("Setosa", 
                               "Versicolor", 
                               "Virginica")) +
  scale_color_discrete("Species")

labs()

ggplot(iris, aes(x = Sepal.Length, 
                 y = Sepal.Width, 
                 color = Species)) +
  geom_point(position = "jitter") +
  labs(x = "Sepal Length", 
       y = "Sepal Width", 
       color = "Species")

具体的な使い方

ggplot2 を使ったデータ可視化入門