#rlang — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #rlang, aggregated by home.social.
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"A little bit less than two years ago, building on work by Jim Hester and Kevin Ushey, Davis Vaughan completed a very impactful JavaScript file for the R community: an R grammar for the Tree-sitter parsing generator." by @rOpenSci
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"A little bit less than two years ago, building on work by Jim Hester and Kevin Ushey, Davis Vaughan completed a very impactful JavaScript file for the R community: an R grammar for the Tree-sitter parsing generator." by @rOpenSci
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"A little bit less than two years ago, building on work by Jim Hester and Kevin Ushey, Davis Vaughan completed a very impactful JavaScript file for the R community: an R grammar for the Tree-sitter parsing generator." by @rOpenSci
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"A little bit less than two years ago, building on work by Jim Hester and Kevin Ushey, Davis Vaughan completed a very impactful JavaScript file for the R community: an R grammar for the Tree-sitter parsing generator." by @rOpenSci
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"A little bit less than two years ago, building on work by Jim Hester and Kevin Ushey, Davis Vaughan completed a very impactful JavaScript file for the R community: an R grammar for the Tree-sitter parsing generator." by @rOpenSci
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Wait! You can wrap pipelines in R in parentheses to directly use the last value?!?
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Wait! You can wrap pipelines in R in parentheses to directly use the last value?!?
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Wait! You can wrap pipelines in R in parentheses to directly use the last value?!?
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Wait! You can wrap pipelines in R in parentheses to directly use the last value?!?
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Wait! You can wrap pipelines in R in parentheses to directly use the last value?!?
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Want to use {pak} as backend for {renv} actions? Set the variable RENV_CONFIG_PAK_ENABLED = TRUE https://github.com/rstudio/renv/issues/1210 #renv #pak #reproducibility #RLang
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Want to use {pak} as backend for {renv} actions? Set the variable RENV_CONFIG_PAK_ENABLED = TRUE https://github.com/rstudio/renv/issues/1210 #renv #pak #reproducibility #RLang
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Want to use {pak} as backend for {renv} actions? Set the variable RENV_CONFIG_PAK_ENABLED = TRUE https://github.com/rstudio/renv/issues/1210 #renv #pak #reproducibility #RLang
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Want to use {pak} as backend for {renv} actions? Set the variable RENV_CONFIG_PAK_ENABLED = TRUE https://github.com/rstudio/renv/issues/1210 #renv #pak #reproducibility #RLang
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Want to use {pak} as backend for {renv} actions? Set the variable RENV_CONFIG_PAK_ENABLED = TRUE https://github.com/rstudio/renv/issues/1210 #renv #pak #reproducibility #RLang
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Having gotten my head fully around R pipes, I feel I need to write an article about it before I forget the fiddly details:
|>, %>%, with(), lambdas, %$%, ...
there are a lot of clever tricks for edge cases! (The with() hack I should have figured out for myself though!)
Also, %$% -- the exposition pipe -- why didn't any of you tell me about this one!?!? You're slacking!
#rlang #datascience #stats #statistics #rprogramming #tidyverse #tidydata #Rpipes #pipes!
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Having gotten my head fully around R pipes, I feel I need to write an article about it before I forget the fiddly details:
|>, %>%, with(), lambdas, %$%, ...
there are a lot of clever tricks for edge cases! (The with() hack I should have figured out for myself though!)
Also, %$% -- the exposition pipe -- why didn't any of you tell me about this one!?!? You're slacking!
#rlang #datascience #stats #statistics #rprogramming #tidyverse #tidydata #Rpipes #pipes!
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Having gotten my head fully around R pipes, I feel I need to write an article about it before I forget the fiddly details:
|>, %>%, with(), lambdas, %$%, ...
there are a lot of clever tricks for edge cases! (The with() hack I should have figured out for myself though!)
Also, %$% -- the exposition pipe -- why didn't any of you tell me about this one!?!? You're slacking!
#rlang #datascience #stats #statistics #rprogramming #tidyverse #tidydata #Rpipes #pipes!
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Having gotten my head fully around R pipes, I feel I need to write an article about it before I forget the fiddly details:
|>, %>%, with(), lambdas, %$%, ...
there are a lot of clever tricks for edge cases! (The with() hack I should have figured out for myself though!)
Also, %$% -- the exposition pipe -- why didn't any of you tell me about this one!?!? You're slacking!
#rlang #datascience #stats #statistics #rprogramming #tidyverse #tidydata #Rpipes #pipes!
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Having gotten my head fully around R pipes, I feel I need to write an article about it before I forget the fiddly details:
|>, %>%, with(), lambdas, %$%, ...
there are a lot of clever tricks for edge cases! (The with() hack I should have figured out for myself though!)
Also, %$% -- the exposition pipe -- why didn't any of you tell me about this one!?!? You're slacking!
#rlang #datascience #stats #statistics #rprogramming #tidyverse #tidydata #Rpipes #pipes!
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Fresh WIP piece of #Archaea #phylogenetics data for a collaborator.
Those barplot margins are driving me crazy - it's actually throwing off the immediate impression of the data! (pink bars are essentially all 1/2 or less of the orange bars, which is pretty important in context) I really need to buckle down and get to hand-coding my trees from scratch using #rlang or #julialang soon.
Hmm. How's Julia ecosystem for phylogenetic trees these days?
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Fresh WIP piece of #Archaea #phylogenetics data for a collaborator.
Those barplot margins are driving me crazy - it's actually throwing off the immediate impression of the data! (pink bars are essentially all 1/2 or less of the orange bars, which is pretty important in context) I really need to buckle down and get to hand-coding my trees from scratch using #rlang or #julialang soon.
Hmm. How's Julia ecosystem for phylogenetic trees these days?
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Fresh WIP piece of #Archaea #phylogenetics data for a collaborator.
Those barplot margins are driving me crazy - it's actually throwing off the immediate impression of the data! (pink bars are essentially all 1/2 or less of the orange bars, which is pretty important in context) I really need to buckle down and get to hand-coding my trees from scratch using #rlang or #julialang soon.
Hmm. How's Julia ecosystem for phylogenetic trees these days?
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Fresh WIP piece of #Archaea #phylogenetics data for a collaborator.
Those barplot margins are driving me crazy - it's actually throwing off the immediate impression of the data! (pink bars are essentially all 1/2 or less of the orange bars, which is pretty important in context) I really need to buckle down and get to hand-coding my trees from scratch using #rlang or #julialang soon.
Hmm. How's Julia ecosystem for phylogenetic trees these days?
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Fresh WIP piece of #Archaea #phylogenetics data for a collaborator.
Those barplot margins are driving me crazy - it's actually throwing off the immediate impression of the data! (pink bars are essentially all 1/2 or less of the orange bars, which is pretty important in context) I really need to buckle down and get to hand-coding my trees from scratch using #rlang or #julialang soon.
Hmm. How's Julia ecosystem for phylogenetic trees these days?
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Ok, why do people keep doing this:
library(tidyverse)
library(lubridate)when the first call automatically loads the package in the second call? Am I missing something here?
I see this **everywhere**!
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Ok, why do people keep doing this:
library(tidyverse)
library(lubridate)when the first call automatically loads the package in the second call? Am I missing something here?
I see this **everywhere**!
-
Ok, why do people keep doing this:
library(tidyverse)
library(lubridate)when the first call automatically loads the package in the second call? Am I missing something here?
I see this **everywhere**!
-
Ok, why do people keep doing this:
library(tidyverse)
library(lubridate)when the first call automatically loads the package in the second call? Am I missing something here?
I see this **everywhere**!
-
Ok, why do people keep doing this:
library(tidyverse)
library(lubridate)when the first call automatically loads the package in the second call? Am I missing something here?
I see this **everywhere**!
-
Want to use {pak} as backend for {renv} actions? Set the variable RENV_CONFIG_PAK_ENABLED = TRUE https://github.com/rstudio/renv/issues/1210 #renv #pak #reproducibility #RLang
-
Want to use {pak} as backend for {renv} actions? Set the variable RENV_CONFIG_PAK_ENABLED = TRUE https://github.com/rstudio/renv/issues/1210 #renv #pak #reproducibility #RLang
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Want to use {pak} as backend for {renv} actions? Set the variable RENV_CONFIG_PAK_ENABLED = TRUE https://github.com/rstudio/renv/issues/1210 #renv #pak #reproducibility #RLang
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Want to use {pak} as backend for {renv} actions? Set the variable RENV_CONFIG_PAK_ENABLED = TRUE https://github.com/rstudio/renv/issues/1210 #renv #pak #reproducibility #RLang
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Want to use {pak} as backend for {renv} actions? Set the variable RENV_CONFIG_PAK_ENABLED = TRUE https://github.com/rstudio/renv/issues/1210 #renv #pak #reproducibility #RLang
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Hello again, R . . .
R for sure has deficits (but so does python), but for exploratory data analysis, particularly ones heavy in statistics, R can sometimes shine. I still abhore passing variables into functions, but I get why for simple EDA one might want non-standard evaluation.
R is making a comeback:
https://www.infoworld.com/article/4102696/r-language-is-making-a-comeback-tiobe.html -
Hello again, R . . .
R for sure has deficits (but so does python), but for exploratory data analysis, particularly ones heavy in statistics, R can sometimes shine. I still abhore passing variables into functions, but I get why for simple EDA one might want non-standard evaluation.
R is making a comeback:
https://www.infoworld.com/article/4102696/r-language-is-making-a-comeback-tiobe.html -
Hello again, R . . .
R for sure has deficits (but so does python), but for exploratory data analysis, particularly ones heavy in statistics, R can sometimes shine. I still abhore passing variables into functions, but I get why for simple EDA one might want non-standard evaluation.
R is making a comeback:
https://www.infoworld.com/article/4102696/r-language-is-making-a-comeback-tiobe.html -
Hello again, R . . .
R for sure has deficits (but so does python), but for exploratory data analysis, particularly ones heavy in statistics, R can sometimes shine. I still abhore passing variables into functions, but I get why for simple EDA one might want non-standard evaluation.
R is making a comeback:
https://www.infoworld.com/article/4102696/r-language-is-making-a-comeback-tiobe.html -
Hello again, R . . .
R for sure has deficits (but so does python), but for exploratory data analysis, particularly ones heavy in statistics, R can sometimes shine. I still abhore passing variables into functions, but I get why for simple EDA one might want non-standard evaluation.
R is making a comeback:
https://www.infoworld.com/article/4102696/r-language-is-making-a-comeback-tiobe.html -
Dark times call for desperate measures, and with my career being a little hosed, I'm writing a book! It's about teaching R users to write code like software engineers do, and the hope is that I can use it partially as content marketing for my coaching offerings. Here's the first chapter: #R #R-lang
R the Software Engineering Way... -
Dark times call for desperate measures, and with my career being a little hosed, I'm writing a book! It's about teaching R users to write code like software engineers do, and the hope is that I can use it partially as content marketing for my coaching offerings. Here's the first chapter: #R #R-lang
R the Software Engineering Way... -
Dark times call for desperate measures, and with my career being a little hosed, I'm writing a book! It's about teaching R users to write code like software engineers do, and the hope is that I can use it partially as content marketing for my coaching offerings. Here's the first chapter: #R #R-lang
R the Software Engineering Way... -
Heya R devs - did you know you can run all your favorite GitHub actions on Codeberg?
Codeberg is rolling out Forgejo actions - an (almost) drop-in replacement for GitHub actions, which means we can (almost) use `r-lib/actions` directly on a free and open source platform!
Just a couple tweaks are needed, and for your convenience I'm automatically mirroring r-lib/actions and applying those changes so they're ready to use.
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Heya R devs - did you know you can run all your favorite GitHub actions on Codeberg?
Codeberg is rolling out Forgejo actions - an (almost) drop-in replacement for GitHub actions, which means we can (almost) use `r-lib/actions` directly on a free and open source platform!
Just a couple tweaks are needed, and for your convenience I'm automatically mirroring r-lib/actions and applying those changes so they're ready to use.
