在R中找到一个范围并用中位数替换它

时间:2017-02-19 09:58:18

标签: r data-manipulation

我有一个名为data_v的数据,其中一列是工资。数据范围在0到140 000之间。我想找到不同的范围(范围1:0-10000,范围2:10000-20000 ......)计算每个范围的中位数,并用中位数替换范围。

使用此功能,我可以获得所需的输出:

first = data_v$salaries[data_v$salaries>=0 & data_v$salaries<10000]
data_v$salaries[data_v$salaries>=0 & data_v$salaries<10000] = median(first)

second = data_v$salaries[data_v$salaries>=10000 & data_v$salaries<20000]
data_v$salaries[data_v$salaries>=10000 & data_v$salaries<20000] = median(second)

.............

ten=data_v$salaries[data_v$salaries>=90000 & data_v$salaries<=100000]
data_v$salaries[data_v$salaries >= 90000 & data_v$salaries <= 100000] = median(ten)

输出:

table(data_v$salaries)

median 7949    17523    25939    34302    42827    56840    65423  73292    81900      95479.75
#      130     2022     8481     9233     2661     1270     3864     2232      176        4 

我尝试使用while循环实现相同的功能但没有成功:

 i <- 0;
while(i <=140000) {
  m = data_v$salaries[data_v$salaries >= i & data_v$salaries < (i + 10000)] 
  data_v$salaries[data_v$salaries >= i & data_v$salaries < (i + 10000)] =   median(m)
  i <- i + 10000; }

欢迎任何帮助/建议。

1 个答案:

答案 0 :(得分:2)

data(mtcars) # data for test
step = 10 # interval length, 10000 for your data
n = ceiling(max(mtcars$mpg)/step)  # number of intervals
mtcars$mpg_interval = cut(mtcars$mpg, step*(0:n))
mtcars$mpg_median = ave(mtcars$mpg, mtcars$mpg_interval, FUN = median)