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Connect R and RStudio to Tidy Data Tutor.
You can install the development version of tidydatatutor from GitHub with:
# install.packages("remotes")
::install_github("seankross/tidydatatutor") remotes
Send a string of code to Tidy Data Tutor:
=
code "library(dplyr)
library(palmerpenguins)
penguins %>%
select(species, bill_length_mm) %>%
group_by(species) %>%
arrange(desc(bill_length_mm), .by_group = TRUE) %>%
slice(1)"
::go_code(code) tidydatatutor
Copy the following code into the clipboard:
library(dplyr)
library(palmerpenguins)
%>%
penguins select(species, bill_length_mm) %>%
group_by(species) %>%
arrange(desc(bill_length_mm), .by_group = TRUE) %>%
slice(1)
Then open it in Tidy Data Tutor by running this in the console:
::go_paste() tidydatatutor
Generate links to Tidy Data Tutor in R Markdown with named R code chunks:
---
output: md_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(message = FALSE)
library(tidydatatutor)
```
```{r mtcars-1}
library(dplyr)
mtcars %>%
select(mpg, cyl, hp) %>%
group_by(cyl) %>%
summarize(mean(hp))
```
[See this pipeline in Tidy Data Tutor](`r tdt_chunk("mtcars-1")`)
Access Tidy Data Tutor from the Addins drop down menu in RStudio:
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.