dplyr -选择列并按行修改

library(dplyr)

# 创建一个示例数据框
data <- data.frame(
  id = 1:5,
  name = c("Alice", "Bob", "Charlie", "David", "Eve"),
  age = c(25, 30, 35, 40, 45),
  salary = c(50000, 60000, 70000, 80000, 90000)
)

# 选择name和age列
selected_data <- select(data, name, age)

# 打印选择的结果
print(selected_data)

     name age
1   Alice  25
2     Bob  30
3 Charlie  35
4   David  40
5     Eve  45

library(dplyr)

# 创建一个示例数据框
data <- data.frame(
  id = 1:5,
  name = c("Alice", "Bob", "Charlie", "David", "Eve"),
  age = c(25, 30, 35, 40, 45),
  salary = c(50000, 60000, 70000, 80000, 90000)
)

# 按行修改age列的值
modified_data <- mutate(data, age = age + 1)

# 打印修改后的结果
print(modified_data)

  id    name age salary
1  1   Alice  26  50000
2  2     Bob  31  60000
3  3 Charlie  36  70000
4  4   David  41  80000
5  5     Eve  46  90000