如何更改我的 R 代码，以便有三行代表来自不同块的数据？如何更改代码以编辑图例？

Question

这是我用来制作我的图的代码：

Running_Accuracy_Across_Addition %>%
  ggplot(mapping = aes(x = Trials, y = Accuracy, group = Block, color = Block)) + 
  scale_x_discrete(name = "Trials", limits = c("First Ten", "Second Ten", "Third Ten", "Fourth Ten"), labels = c("First Ten" = "5", "Second Ten" = "15", "Third Ten" = "25", "Fourth Ten" = "35")) +
  scale_y_continuous(name = "Proportion of Correct Addition Responses Over 10 Trials", limits = c(0,1.0)) +
  geom_line() +
  geom_point(alpha = 0.5, size = 0.8) +
  theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
panel.background = element_blank(), axis.line = element_line(colour = "black"), text = element_text(family="Times New Roman", size = 12)) +
  labs(title = "Change in Addition Response Accuracy As The Amount of Available Time Reduces", x = "Trials", y = "Proportion of Correct Addition Responses Over 10 Trials")

这是该图的图像：

Answer 1

将您的分组变量更改为如下因素：

df$Block <- factor(df$Block)

示例：

library(ggplot2)

# Load example data
data(iris)

# Dummy trials variable
iris$trials <- 1:nrow(iris)

当color= 是数字时

# Plotting behavior for numeric groups
iris$Species_numeric <- as.numeric(iris$Species)
class(iris$Species_numeric)
#> [1] "numeric"

ggplot(data = iris) +
  geom_line(aes(trials, Petal.Length, color = Species_numeric))

当color= 是一个因素时

# Plotting behavior with factor groups
iris$Species_factor <- factor(iris$Species_numeric)
class(iris$Species_factor)
#> [1] "factor"

ggplot(data = iris) +
  geom_line(aes(trials, Petal.Length, color = Species_factor))

由 reprex 包 (v2.0.1) 于 2021-09-28 创建