R : Summarize Data

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This tutorial explains how to aggregate or summarize data.

Create a sample data
data <- data.frame(X = paste("s", sample(1:3, 15, replace = TRUE), sep = ""),Y = ceiling(rnorm(15)), Z = rnorm(15), A = rnorm(15), B = rnorm(15))
Sample Data
Calculate Mean of Z by grouping variable X
dat1 = aggregate(Z ~ X, data=data, FUN=mean)
Calculate Mean of Z by 2 grouping variables
dat2 = aggregate(Z~ X + Y, data=data, FUN=mean)
Calculate Mean of Y and Z by grouping variable X
dat3 = aggregate(cbind(Y,Z)~X, data=data, FUN=mean)
Calculate Mean of all the variable by grouping variable X
dat4 = aggregate(.~X, data=data, FUN=mean)

Concatenate Text Based on Criteria
testDF <- data.frame(v1 = c(1,3,5,7,8,3,5,NA,4,5,7,9),
                     v2 = c(11,33,55,77,88,33,55,25,44,55,77,99) )
aggregate(v2 ~ v1, data = testDF, FUN=paste, sep=",")

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About Author:

Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has close to 7 years of experience in data science and predictive modeling. During his tenure, he has worked with global clients in various domains like retail and commercial banking, Telecom, HR and Automotive.

While I love having friends who agree, I only learn from those who don't.

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