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get average column A based on a range of values in column B

Tags:

r

average

My dataframe has several columns as follows:

df1 <- data.frame(A = c(1,2,4), B=c(1,3,1), C=c(1,1,3))

I have two conditions to get average values for column A.

  • Condition 1: I want to get average of column A when B is 1, i.e. only row1 and row2 will be averaged.
  • Condition 2: I want to get average of column B when column A's values are larger than 1 but smaller than 3, i.e. only row 2 will be considered.

I know I can use filter to cut the dataframe to have column B = 1 only. However, I am unsure how to do it when I want the column B to be considered as a range within 1 and 3.

Are there any smarter ways to get the average values of column without cutting the dataframe into a smaller size first?

like image 259
a83 Avatar asked May 26 '11 11:05

a83


1 Answers

You can do your subsetting in the same call to mean like so:

with(df1, mean(A[B == 1]))

with(df1, mean(B[A > 1 & A < 3]))
like image 110
Chase Avatar answered Nov 08 '22 09:11

Chase