Is there an R function for isolating a set of data from a larger dataset by filtering for one attribute and working independently with the data?

Asked Nov 10 '21 at 22:09

Active Nov 10 '21 at 22:09

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I am working with a large dataset and trying to isolate certain groups of data points by column 1 values. I want to be able to work independently with each of the groups without knowing how many groups there are or the names of the groups. The image is a sample of the dataset. Is there a function to make an object for each of these unique groups with the filter on that group being unique samples in the clade column?

df <- read.csv(file.choose(), header=TRUE)

asked Nov 10 '21 at 22:09

Skylar Gay

1

check out `?group_by` from the package `dplyr` – Edo Nov 10 '21 at 22:15
or `split()` ... – Ben Bolker Nov 10 '21 at 22:18
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It's easier to help you if you include a simple [reproducible example](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example) with sample input and desired output that can be used to test and verify possible solutions. – MrFlick Nov 10 '21 at 23:40
`aggregate()` is a handy base R function that can help here. More efficient than dply functions in some cases. – sashahafner Nov 11 '21 at 00:03
Here's a great guide to transforming your data: https://r4ds.had.co.nz/transform.html#dplyr-basics – Desmond Nov 11 '21 at 01:59
@BenBolker Thank you all! using `split()` helped! – Skylar Gay Nov 11 '21 at 21:04
If you have a solution, please write it up as an answer to your own question. – Ben Bolker Nov 12 '21 at 18:55

Is there an R function for isolating a set of data from a larger dataset by filtering for one attribute and working independently with the data?

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