R散点图中的点标签

时间:2022-09-15 08:48:11

I have the following toy data

我有以下玩具数据

Xeafield (1999) (PER) ,1,0.5745375408
Lancelot et al. (1989),0.9394939494,0.4733405876
LemLM Xeafield (1997) (TER) ,0.6265126513,0.2959738847
Almore and Flemin (2001) (KER),0.4218921892,0.5745375408
Malek et al. (2006) (HER) ,0.4125412541,1
Charles and Osborne (2003),0.0308030803,0.1414581066

And trying a simple 2D plot in R with points labeled using the 1st column.

并在R中尝试使用第1列标记的点的简单2D图。

pdf('data.pdf', width = 7, height = 8)

d1 <- read.csv("data.csv", header=F, dec=".",sep = ",")
plot(as.matrix(d1[,2]), as.matrix(d1[,3]), col= "blue", pch = 19, cex = 1, lty = "solid", lwd = 2, ylim=c(0,1), xaxt = "n",yaxt = "n")

text(as.matrix(d1[,2]), as.matrix(d1[,3]), labels=as.matrix(d1[,1]), cex= 0.7, pos=3)

x_axis_range <- c(0,1) 
x_axis_labels <- c("Small","Large")
axis(1,at = x_axis_range, labels = x_axis_labels)

y_axis_range <- c(0,1) 
y_axis_labels <- c("Slow","Fast")
axis(2,at = y_axis_range, labels = y_axis_labels)
title(xlab="Memory", ylab="Speed",cex.lab=1)
dev.off()

But the plot doesn't come out right. A few issues I have: the axis label are messed up (it shows as.matrix ..., instead of the label I specified), and the margin of the plot is to small that node labels are cutoff. I am new to using R and plot, appreciate your help.

但情节并不合适。我遇到的一些问题:轴标签混乱(它显示为.matrix ...,而不是我指定的标签),并且绘图的边距很小,节点标签被截止。我是新手使用R和情节,感谢您的帮助。

R散点图中的点标签

1 个解决方案

#1


1  

A simple solution for your problem is to define axis labels and axis ranges in the plot function.

解决问题的一个简单方法是在绘图函数中定义轴标签和轴范围。

d1 <- structure(list(V1 = structure(c(6L, 3L, 4L, 1L, 5L, 2L), .Label = c("Almore and Flemin (2001) (KER)", 
"Charles and Osborne (2003)", "Lancelot et al. (1989)", "LemLM Xeafield (1997) (TER) ", 
"Malek et al. (2006) (HER) ", "Xeafield (1999) (PER) "), class = "factor"), 
    V2 = c(1, 0.9394939494, 0.6265126513, 0.4218921892, 0.4125412541, 
    0.0308030803), V3 = c(0.5745375408, 0.4733405876, 0.2959738847, 
    0.5745375408, 1, 0.1414581066)), .Names = c("V1", "V2", "V3"
), class = "data.frame", row.names = c(NA, -6L))

# Use xlab and ylab for axis labels and
# and xlim and ylim for setting axis ranges
plot(as.matrix(d1[,2]), as.matrix(d1[,3]), col= "blue", pch = 19, 
    cex = 1, lty = "solid", lwd = 2, ylim=c(-0.1,1.1), xaxt = "n",yaxt = "n",
    xlab="Memory", ylab="Speed",cex.lab=1, xlim=c(-0.1,1.1))

text(as.matrix(d1[,2]), as.matrix(d1[,3]), 
     labels=as.matrix(d1[,1]), cex= 0.7, pos=3)

x_axis_range <- c(0,1) 
x_axis_labels <- c("Small","Large")
axis(1,at = x_axis_range, labels = x_axis_labels)

y_axis_range <- c(0,1) 
y_axis_labels <- c("Slow","Fast")
axis(2,at = y_axis_range, labels = y_axis_labels)

R散点图中的点标签

#1


1  

A simple solution for your problem is to define axis labels and axis ranges in the plot function.

解决问题的一个简单方法是在绘图函数中定义轴标签和轴范围。

d1 <- structure(list(V1 = structure(c(6L, 3L, 4L, 1L, 5L, 2L), .Label = c("Almore and Flemin (2001) (KER)", 
"Charles and Osborne (2003)", "Lancelot et al. (1989)", "LemLM Xeafield (1997) (TER) ", 
"Malek et al. (2006) (HER) ", "Xeafield (1999) (PER) "), class = "factor"), 
    V2 = c(1, 0.9394939494, 0.6265126513, 0.4218921892, 0.4125412541, 
    0.0308030803), V3 = c(0.5745375408, 0.4733405876, 0.2959738847, 
    0.5745375408, 1, 0.1414581066)), .Names = c("V1", "V2", "V3"
), class = "data.frame", row.names = c(NA, -6L))

# Use xlab and ylab for axis labels and
# and xlim and ylim for setting axis ranges
plot(as.matrix(d1[,2]), as.matrix(d1[,3]), col= "blue", pch = 19, 
    cex = 1, lty = "solid", lwd = 2, ylim=c(-0.1,1.1), xaxt = "n",yaxt = "n",
    xlab="Memory", ylab="Speed",cex.lab=1, xlim=c(-0.1,1.1))

text(as.matrix(d1[,2]), as.matrix(d1[,3]), 
     labels=as.matrix(d1[,1]), cex= 0.7, pos=3)

x_axis_range <- c(0,1) 
x_axis_labels <- c("Small","Large")
axis(1,at = x_axis_range, labels = x_axis_labels)

y_axis_range <- c(0,1) 
y_axis_labels <- c("Slow","Fast")
axis(2,at = y_axis_range, labels = y_axis_labels)

R散点图中的点标签