[英]creating a scatter plot using ggplot2 in r
class_day <- c(1:10)
control_group <- c(67,72,69,81,73,66,71,72,77,71)
A_treatment_group <- c(NA,72,77,81,73,85,69,73,74,77)
B_treatment_group <- c(NA,66,68,69,67,72,73,75,79,77)
class.df<-data.frame(class_day, control_group, A_treatment_group, B_treatment_group)
I tried to convert vecotrs to a table but I am not sure how to include three categories in one plot.我试图将 vecotrs 转换为表格,但我不确定如何在一个 plot 中包含三个类别。
How can I get a scatter plot with three different colors?如何用三个不同的 colors 得到散点图 plot? I would like to set x-axis as class_day above and y axis as scores.我想将 x 轴设置为上面的 class_day,将 y 轴设置为分数。
First, A cleaner way to make a dataframe without the intermediate variables.首先,一种更简洁的方法来制作一个没有中间变量的 dataframe。
You can make this type of chart by pivoting the data into "long" form:您可以通过将数据旋转为“长”形式来制作此类图表:
class.df<-data.frame(class_day = c(1:10),
control_group = c(67,72,69,81,73,66,71,72,77,71),
A_treatment_group = c(NA,72,77,81,73,85,69,73,74,77),
B_treatment_group = c(NA,66,68,69,67,72,73,75,79,77) )
library(tidyverse)
class.df %>%
pivot_longer(!class_day) %>%
ggplot(aes(x=class_day, y=value, color=name))+
geom_point()
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