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[英]ggplot2: Mixing of labels and colours using scale_colour_manual
[英]Manual colour for points in ggplot2
我有一個因子圖,我想控制為圖中每個線/點選擇的顏色。 我已經檢查了在線資源,並且看到我應該在+scale_color_manual()
使用+scale_color_manual()
函數。
雖然這會創建所需的輸出,但它也會創建一個我不希望擁有的額外圖例:
在沒有創建額外傳奇的情況下,實現手動控制線路的正確方法是什么?
碼:
# load library
library(ggplot2)
# intialise random seed for reproducibility
set.seed(42)
# generate fictitous averaged data
age <- gl(2, 4, labels = c("Younger", "Older"))
sequence <- gl(2, 2, 8, labels = c("ABA", "CBA"))
response <- gl(2, 1, length = 8, labels = c("Repetition", "Switch"))
accuracy <- runif(length(age), min = 0.90, max = 1)
se <- runif(length(age), min = 0.002, max = 0.008)
# collate into data frame
data <- data.frame(age, sequence, response, accuracy, se)
# do plot
pd <- position_dodge(0.08)
plot <- ggplot(data, aes(x = sequence, y = accuracy, group = response,
colour = response))
plot <- plot + geom_errorbar(aes(ymin = accuracy - se, ymax = accuracy + se),
width = .15, size = 0.5, position = pd)
plot <- plot + geom_line(aes(linetype = response), position = pd)
plot <- plot + geom_point(aes(shape = response), size = 2.3, position = pd)
plot <- plot + scale_x_discrete(name = "Task Sequence") +
scale_y_continuous(name = "Accuracy (Proportion)")
plot <- plot + scale_shape_discrete(name = "Response") +
scale_linetype_discrete(name = "Response")
plot <- plot + facet_grid( ~ age)
plot + scale_color_manual(values = c("#999999", "#E69F00"))
如果要組合兩個圖例,只需刪除scale_shape_discrete()
和scale_linetype_discrete()
ggplot(data, aes(x = sequence, y = accuracy, group = response,
colour = response)) +
geom_errorbar(aes(ymin = accuracy - se, ymax = accuracy + se),
width = .15, size = 0.5, position = pd) +
geom_line(aes(linetype = response), position = pd) +
geom_point(aes(shape = response), size = 2.3, position = pd) +
scale_x_discrete(name = "Task Sequence") +
scale_y_continuous(name = "Accuracy (Proportion)") +
scale_color_manual(values = c("#999999", "#E69F00")) +
facet_grid(~ age)
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