Create Page Layout Visualizations in R

Re:Create Page Layout Visualizations in R by sin7 on Monday August 28, 2017 @06:01PM (#15120454)

This particular pipe comes from F#.

Let's say I have a table called dat.

  dat %>%

    filter(col_a == 'Good') %>%  

    group_by(col_b) %>%  

    summarize(n = n(), sum_c = sum(col_c))

To do this in traditional R, I would have to:

  dat <- dat[dat$col_a == 'Good']

  dat_n <- aggregate(col_a ~ col_b, dat, length)

  dat_sum <- aggregate(col_c ~ col_b, dat, sum)

  merge(dat_n, dat_sum, by = "col_b")

I think the piped version is more readable. At least there are less variable to track.

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Re:Create Page Layout Visualizations in R by extr on Monday August 28, 2017 @08:40PM (#15121318)

That's because you're comparing to base-r. The data.table way would be:

  dat[col_a == 'Good', .(Length = .N, Sum = sum(col_c)), col_b]

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Re:Create Page Layout Visualizations in R by jcheng on Tuesday August 29, 2017 @01:09AM (#15122214)

That's all well and good for operations that are built into data.table; pipes can be used with anything that's a function call (like ggpage).

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Re:Create Page Layout Visualizations in R by jhbadger on Tuesday August 29, 2017 @09:52AM (#15124241)

The problem with data.table is that in practice your data gets converted to something else when you pass it through packages -- many functions will return a data.frame or matrix, others in the Hadleyverse will return a tibble, and so on. So you have to constantly force your data back into a data table. R has so many datatypes that basically represent a spreadsheet/database table.

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Re:Create Page Layout Visualizations in R by nerdponx on Tuesday August 29, 2017 @06:59AM (#15123427)

Data.table is great for SQL-style code but it imposes some annoying limitations, namely that the output is always coerced to a data.table.

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