使用R语言scatterplot函数绘制Iris数据集散点图报错求助

Hey there! Let's break down what's causing those errors and fix your scatterplot step by step.

What's Going Wrong? #

• First off, the scatterplot() function (from the car package, I assume) doesn't accept a labels parameter directly. Those warnings about "labels is not a graphical parameter" are telling you exactly that—this function doesn't recognize that argument.
• The main error ('labels' is supplied and not 'at') happens because R gets confused: when you pass labels, it assumes you're trying to customize axis tick labels, but you didn't provide the corresponding at positions for those labels. That mismatch triggers the error.
• Also, you mixed up your axis labels! Your formula is Sepal.Width ~ Sepal.Length, which means the x-axis is Sepal.Length and y-axis is Sepal.Width, but your xlab and ylab are reversed. That would have made your plot misleading even if it worked.

Corrected Code #

First, make sure you've loaded the car package (since that's where scatterplot() lives):

library(car)

Then, let's fix the scatterplot and add the row name labels correctly:

# Fix axis labels and remove the unsupported labels parameter
scatterplot(Sepal.Width ~ Sepal.Length | Species, data = iris,
            xlab = "Sepal Length", ylab = "Sepal Width",
            main = "Iris Data")

# Add row name labels to each point using the text() function
text(iris$Sepal.Length, iris$Sepal.Width, labels = row.names(iris), cex = 0.7)

Extra Tips #

• The cex = 0.7 in text() makes the labels smaller so they don't overlap too much. Adjust this value if needed (bigger numbers = larger labels).
• If you don't want labels on every point (they can get cluttered!), you can filter to label only specific groups. For example, to label just the setosa points:

# Filter setosa data
setosa_data <- iris[iris$Species == "setosa", ]
# Add red labels for setosa points
text(setosa_data$Sepal.Length, setosa_data$Sepal.Width, 
     labels = row.names(setosa_data), cex = 0.7, col = "red")

内容的提问来源于stack exchange，提问作者Chen