R 图表入门

• 散点图

你有两个向量，你想绘制它们。

x_values <- rnorm(n = 20 , mean = 5 , sd = 8) #20 values generated from Normal(5,8)
y_values <- rbeta(n = 20 , shape1 = 500 , shape2 = 10) #20 values generated from Beta(500,10)

如果要创建垂直轴为 y_values 且水平轴为 x_values 的绘图，可以使用以下命令：

plot(x = x_values, y = y_values, type = "p") #standard scatter-plot
plot(x = x_values, y = y_values, type = "l") # plot with lines
plot(x = x_values, y = y_values, type = "n") # empty plot

你可以在控制台中键入 ?plot() 以阅读更多选项。

• 箱形图

你有一些变量，你想检查他们的分布

#boxplot is an easy way to see if we have some outliers in the data.
   
z<- rbeta(20 , 500 , 10) #generating values from beta distribution
z[c(19 , 20)] <- c(0.97 , 1.05) # replace the two last values with outliers      
boxplot(z) # the two points are the outliers of variable z.

• 直方图

绘制直方图的简便方法

hist(x = x_values) # Histogram for x vector
hist(x = x_values, breaks = 3) #use breaks to set the numbers of bars you want

• 饼状图

如果你想要显示变量的频率，只需绘制饼图

首先，我们必须生成具有频率的数据，例如：

P <- c(rep('A' , 3) , rep('B' , 10) , rep('C' , 7) )
t <- table(P) # this is a frequency matrix of variable P
pie(t) # And this is a visual version of the matrix above