首页使用r自带的数据集 titanic,绘制class、sex、age和survived4个变量的条形树状图和

使用r自带的数据集 titanic,绘制class、sex、age和survived4个变量的条形树状图和

时间: 2023-09-16 19:02:49 浏览: 332

要使用r自带的数据集titanic绘制class、sex、age和survived4个变量的条形树状图，可以按照以下步骤进行操作。首先，我们需要加载titanic数据集。 ```R data(titanic) ``` 接下来，我们可以使用`table`函数将数据集按照不同变量进行分组，并计算各个组的频数。 ```R class_freq <- table(titanic$class) sex_freq <- table(titanic$sex) age_freq <- table(titanic$age) survived_freq <- table(titanic$survived) ``` 然后，我们可以使用`barplot`函数将频数数据绘制成条形图。 ```R barplot(class_freq, main = "Passenger Class", xlab = "Class", ylab = "Frequency", col = "lightblue") ``` ```R barplot(sex_freq, main = "Passenger Sex", xlab = "Sex", ylab = "Frequency", col = "lightpink") ``` ```R barplot(age_freq, main = "Passenger Age", xlab = "Age", ylab = "Frequency", col = "lightgreen") ``` ```R barplot(survived_freq, main = "Survived", xlab = "Survived", ylab = "Frequency", col = "lightyellow") ``` 最后，我们可以使用`legend`函数添加图例。 ```R legend("topright", legend = names(class_freq), fill = "lightblue", border = NA) ``` ```R legend("topright", legend = names(sex_freq), fill = "lightpink", border = NA) ``` ```R legend("topright", legend = names(age_freq), fill = "lightgreen", border = NA) ``` ```R legend("topright", legend = names(survived_freq), fill = "lightyellow", border = NA) ``` 通过以上步骤，我们可以使用r自带的数据集titanic绘制class、sex、age和survived四个变量的条形树状图，并且每个图上都包含了相应的图例。

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