Split a data frame

This tutorial explains how to split a data frame with R programming.
Sample Data
Create Sample Data
data <- read.table(text="X Y    Z
                   ID12   2012-06    566
                   ID1    2012-06  10239
                   ID6    2012-06    524
                   ID12   2012-07   2360
                   ID1    2012-07   13853
                   ID6    2012-07    2352
                   ID12   2012-08   3950
                   ID1    2012-08   14738
                   ID6    2012-08   4104",header=TRUE)
Split a data frame
mydt2 = split(data, data$Y)
Get first list element
mydt2[[1]]
Calculate mean on each list element
sapply(mydt2 , function(x) mean(x$Z))
Split a list into multiple data frames
for(i in 1:length(mydt2)) {
  assign(paste0("t.", i), mydt2[[i]])
}
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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 "Split a data frame"
  1. dplyr is great for subsetting and calculating means, sd, min max etc. on subsetted data.

    ReplyDelete

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