R data subset restructuring [closed]

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Closed 5 years ago.

I am fairly new to R/Rstudio and I am still learning how to do certain operations. I have the following data set. For columns I have Operating Region, type of element(CA,OBU), sub-element and Net Revenue. Currently the data is quite big(50 000 rows) and I want to get a summary of Operating region by element,sub-element and NR. Example

 Operating Region   Element Sub-Element NR
 Asia        CA     CA123   50 000
 America    OBU     EFK456  35 000

Could someone please guide me on how to accomplish this? Any relevant readings/examples would be much appreciated.

回答1:

Using the data below to return the data frame object "data," you can use the dplyr package to organize results in many different ways. Here is one example:

data <- data.frame("OperatingRegion" = c("Asia", "America"), "Region" = c("CA", "OBU"), "Element" = c("CA123", "EFK456"), "SubElement" = c(50000, 35000))

require(dplyr)
results <- data %.%
  group_by(OperatingRegion) %.%
  summarise(SubE = sum(SubElement, na.rm = TRUE))

Source: local data frame [2 x 2]

  OperatingRegion  SubE
1         America 35000
2            Asia 50000

After loading the package, you provide dplyr the data frame and then, using the special operators %.% or %>%, group_by whatever single or multiple variables you want. Then, call summarise to create sums, medians, averages or whatever computation you want.

来源：https://stackoverflow.com/questions/25968137/r-data-subset-restructuring