Dplyr Count Distinct

Is it possible to select all unique values from a column of a data.frame using select function in dplyr library? Something like "SELECT DISTINCT field1 FROM table1" in SQL notation. Thanks!

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r - Count number of rows by group using dplyr - Stack Overflow

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I want to use dplyr::mutate () to create multiple new columns in a data frame. The column names and their contents should be dynamically generated. Example data from iris: library (dplyr) iris <-

I am using the mtcars dataset. I want to find the number of records for a particular combination of data. Something very similar to the count(*) group by clause in SQL. ddply() from plyr is working...

Look at dplyr as a back-end agnostic interface, with all of the targets using the same grammer, where you can extend the targets and handlers at will. data.table is, from the dplyr perspective, one of those targets.

r - data.table vs dplyr: can one do something well the other can't or ...

I started getting a new message (see post title) when running group_by and summarise() after updating to dplyr development version 0.8.99.9003. Here is an example to recreate the output: library(

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