R : Summarize Data

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=",")
Spread the Word!
Related Posts
About Author:

Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has over 10 years of experience in data science. During his tenure, he has worked with global clients in various domains like Banking, Insurance, Private Equity, Telecom and Human Resource.

1 Response to "R : Summarize Data"
  1. Hi, btw what does ceiling in rnorm (ceiling(rnorm(15)) means?


Next → ← Prev
Love this post? Support Us!
Buy Me A Coffee