怎样修改hist(v,main="rug=5",xlab="v的取值", ylab="频率",col="orange",border="purple")在图像的右侧添加轴须图

根据提供的引用内容，你可以使用`rug()`函数来在图像的右侧添加轴须图。下面是一个示例代码：

hist(v, main="rug=5", xlab="v的取值", ylab="频率", col="orange", border="purple")
rug(v, side=1, ticksize=0.02, col="blue")

在这个示例中，`rug()`函数用于在图像的右侧添加轴须图。`side=1`表示在x轴上添加轴须图，`ticksize=0.02`表示轴须图的大小，`col="blue"`表示轴须图的颜色。

相关问题

更改以下代码，使其实现对每个数据都在y轴上标出值：mat <- matrix(c(1, 2, 3, 4), nrow = 2, byrow = TRUE) layout(mat, heights = c(2, 1)) hist(sg1, freq = FALSE, main = "1班身高", xlab = "身高", ylab = "频率") hist(sg2, freq = FALSE, main = "2班身高", xlab = "身高", ylab = "频率")

要实现对每个数据都在y轴上标出值，可以使用text()函数在每个柱形图上添加标签。下面是一种可能的修改方式：

mat <- matrix(c(1, 2, 3, 4), nrow = 2, byrow = TRUE)
layout(mat, heights = c(2, 1))

# 绘制第一个柱形图
sg1 <- c(170, 175, 168, 172, 180)
h1 <- hist(sg1, breaks = seq(165, 185, by = 5), plot = FALSE)
barplot(h1$counts, space = 0.5, names.arg = h1$mids, xlab = "身高", ylab = "频率", main = "1班身高")
text(h1$mids, h1$counts, labels = h1$counts, pos = 3, col = "red")

# 绘制第二个柱形图
sg2 <- c(166, 171, 175, 173, 165)
h2 <- hist(sg2, breaks = seq(165, 185, by = 5), plot = FALSE)
barplot(h2$counts, space = 0.5, names.arg = h2$mids, xlab = "身高", ylab = "频率", main = "2班身高")
text(h2$mids, h2$counts, labels = h2$counts, pos = 3, col = "red")

在这个版本中，我们使用hist()函数绘制了两个柱形图，并且将breaks参数设为一个向量，用于指定区间的分割点；plot参数设为FALSE，表示不绘制图形，只计算直方图的频数。然后使用barplot()函数绘制柱形图，names.arg参数设为区间的中点，这样x轴上就显示了区间的范围。最后使用text()函数在每个柱形图上添加标签，pos参数设为3表示在柱形图的顶部居中显示标签，col参数设为"red"表示标签的颜色为红色。这样就实现了对每个数据在y轴上标出值的效果。

hist.panel = function (x, ...=NULL ) { par(new = TRUE) hist(x, col = "#D8EAF6", probability = TRUE, axes = FALSE, main = "", breaks = "FD", xlab = "Variable Name", ylab = "Count") #col = "light gray", breaks = "FD"绘制对角线柱状图底部x分布图 lines(density(x, na.rm=TRUE), col = "red", lwd = 1) #lines(f, col="blue", lwd=1, lty=1) how to add gaussian normal overlay? rug(x) }每个格子只要左边、下边的坐标轴，不要右边和上边的坐标轴，并且将左边及下边的坐标轴颜色改为浅灰色，求代码，谢谢

你可以使用`axis()`函数来控制坐标轴的显示。具体来说，`side`参数控制坐标轴的位置，`col.axis`参数控制坐标轴的颜色。下面是修改后的代码：

hist.panel = function (x, ...=NULL ) {         
  par(new = TRUE)         
  hist(x,              
    col = "#D8EAF6",              
    probability = TRUE,              
    axes = FALSE,              
    main = "",              
    breaks = "FD", 
    xlab = "Variable Name",          
    ylab = "Count") 
  #col = "light gray", breaks = "FD"
  # 绘制对角线柱状图底部x分布图         
  lines(density(x, na.rm=TRUE), col = "red", lwd = 1)          
  #lines(f, col="blue", lwd=1, lty=1) how to add gaussian normal overlay?         
  rug(x)
  
  # 只显示左边和下边的坐标轴
  axis(side = 1, col.axis = "lightgray")
  axis(side = 2, col.axis = "lightgray")
}