dbplyr mutation results

Summary

The 1 result states that the mutate() function of dplyr can create, modify, and delete columns. It can create new columns that are functions of existing variables, modify existing columns, and delete columns by setting their value to NULL.

According to

1 dplyr.tidyverse.org

Summaries from the best pages on the web

Summary Rd mutate() creates new columns that are functions of existing variables. It can also modify (if the name is the same as an existing column) and delete columns (by setting their value to NULL ).

Create, modify, and delete columns — mutate • dplyr - Tidyverse

tidyverse.org

Mutating joins — mutate-joins • dplyr Mutating joins Source: R/join.R Mutating joins add columns from y to x, matching observations based on the keys. There are four mutating joins: the…

Mutating joins — mutate-joins • dplyr - Tidyverse

tidyverse.org

dbplyr is designed to work with database tables as if they were local data frames. To demonstrate this I’ll first create an in-memory SQLite database and copy over a dataset:…

A dplyr backend for databases • dbplyr

tidyverse.org

{ dbplyr } translates the code to SQL code and sends it to Spark to be executed. Note that we can achieve a similar result using base::bquote () and base::eval (). bquote…

Using Functions As An Input To Functions With {dbplyr} - R-bloggers

r-bloggers.com

dbplyr is the database backend for dplyr . It allows you to use remote database tables as if they are in-memory data frames by automatically converting dplyr code into SQL.…

dbplyr package - RDocumentation

rdocumentation.org

dplyr disallows mutation on grouping variables. However, it seems that mutate.tbl_lazy doesn't check whether a mutated variable is a grouping variable and allows the function call to proceed wi...

mutate.tbl_lazy() allows mutation on grouping variables but creates ...

github.com

Introduction to dbplyr . As well as working with local in-memory data stored in data frames, dplyr also works with remote on-disk data stored in databases. This is particularly useful in…

Introduction to dbplyr - cran.r-project.org

r-project.org

A pair of data frames, data frame extensions (e.g. a tibble), or lazy data frames (e.g. from dbplyr or dtplyr). See Methods, below, for more details. by: A join specification…

mutate-joins: Mutating joins in dplyr: A Grammar of Data Manipulation

rdrr.io

Yet, it seems that dbplyr , a relatively recently updated R package (2017) from the tidyverse stack works with SQL in the backend and converts dplyr code into SQL. Although dplyr…

dbplyr: do we still need to learn SQL to create and manage databases?

berkeley.edu