How to perform aggregation and counting in a Dataset using R?

Question

I'm currently working with a Cricket (a sport) dataset where I need to find the accumulated runs scored, balls bowled per year with the years count. Below is an excerpt of the dataset

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I'm trying to aggregate as below, but I'm not able to frame the right piece of code for this

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Please help

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score 0 · Answer 1 · answered Mar 29 '18 at 12:24

0

This should create the data frame you have:

cricket_df <- data.frame(Team1 = rep("DD", 7), Team2 = rep("CSK", 7), year = c(2008, 2008, 2009,2009, 2009, 2010, 2010), balls=c(4,4,2,1,2,3,2), runs=c(4,6,6,0,3,1,8))

And with this you can aggregate:

aggregate(cricket_df[c("balls", "runs")], by=list(cricket_df$Team1, cricket_df$Team2, cricket_df$year), FUN=sum)

answered Mar 29 '18 at 12:24

Wolfgang Arnold

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But, with this code we could not obtain year_count. How to get that? – Arun Elangovan Mar 29 '18 at 18:20
True. There may be more elegant ways, but here's a solution that should work: save the aggregate in a new dataframe: `aggr_df – Wolfgang Arnold Mar 29 '18 at 19:35
Thanks it works. But with a dataset as below it dosen't provide the expected results df – Arun Elangovan Mar 30 '18 at 02:33

How to perform aggregation and counting in a Dataset using R?

1 Answers1