dplyr-使用变量名对多个列进行分组

问题描述

我正在与R Shiny合作进行一些探索性数据分析。我有两个复选框输入，它们仅包含用户选择的选项。第一个复选框输入仅包含分类变量。第二个复选框仅包含数字变量。接下来，在这两个选择上应用 groupby ：

I am working with R Shiny for some exploratory data analysis. I have two checkbox inputs that contain only the user-selected options. The first checkbox input contains only the categorical variables; the second checkbox contains only numeric variables. Next, I apply a groupby on these two selections:

var1 <- input$variable1      # Checkbox with categorical variables
var2 <- input$variable2      # Checkbox with numerical variables

v$data <- dataset %>%
  group_by_(var1) %>%
  summarize_(Sum = interp(~sum(x), x = as.name(var2))) %>%
  arrange(desc(Sum))

仅选择一个类别变量时，此 groupby 起作用完美。当多个分类变量被选择，这 GROUPBY 返回与列名的数组。如何将此列名称数组传递给 dplyr 的 groupby ？

When only one categorical variable is selected, this groupby works perfectly. When multiple categorical variables are chosen, this groupby returns an array with column names. How do I pass this array of column names to dplyr's groupby?

推荐答案

如果有向量变量名，则应将它们传递给 .dots = group_by _ 的参数。例如：

If you have a vector of variable names, you should pass them to the .dots= parameter of group_by_. For example:

mtcars %>%
   group_by_(.dots=c("mpg","hp","wt")) %>%
   summarize(x=mean(gear))

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