如何按列的内容对 R DataFrame 进行排序？

在本文中，我们将讨论如何在 R 编程语言中按列的内容对 DataFrame 进行排序。我们可以使用 order()函数。带有提供的参数的 order()函数返回一个排列，将其第一个参数重新排列为升序或降序，通过进一步的参数打破联系。

Syntax: order(x, decreasing = TRUE/FALSE, na.last = TRUE or FALSE, method = c(“auto”, “shell”, “quick”, “radix”))

Parameters:

• x: data-frames, matrices, or vectors
• decreasing: TRUE then sort in descending order / FALSE then sort in ascending order.
• na.last: TRUE then NA indices are put at last / FALSE then NA indices are put first.
• method: sorting method.

Return: returns a permutation that rearranges its first argument into ascending or descending order of the data frame, vector, matrix, etc.

示例 1：

R

gfg_data <- data.frame(
  Country = c("France","Spain","Germany","Spain","Germany",
              "France","Spain","France","Germany","France"),
   
  age = c(44,27,30,38,40,35,52,48,45,37),
   
  salary = c(6000,5000,7000,4000,8000),
   
  Purchased=c("No","Yes","No","No","Yes","Yes","No","Yes",
              "No","Yes")
)
 
gfg_data[order(gfg_data$Country),]

输出：

示例2：

电阻

gfg_data <- data.frame(
  Country = c("France","Spain","Germany","Spain","Germany",
              "France","Spain","France","Germany","France"),
     
  age = c(44,27,30,38,40,35,52,48,45,37),
     
  salary = c(6000,5000,7000,4000,8000),
     
  Purchased=c("No","Yes","No","No","Yes","Yes","No","Yes",
              "No","Yes")
)
 
gfg_data[order(gfg_data$age),]

输出：