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Archive

How to configure your shiny app content from a remote JSON file

R

Shiny

JSON

shiny module

configuration

A straightforward way to configure the appearance and content of a Shiny application using a (remote) JSON configuration file

Automating building and ckecking of renv environments using GitHub Actions

R

renv

GitHub Actions

A quick how-to on building renv environments with GitHub Actions.

Happy New Year

R

Just a ggplot2 decorated tree.

r2lambda update to support multi-file projects and renv projects

AWS

R

r2lambda

AWS Lambda

renv

A demo of two newly added features in the {r2lambda} R package. How to deploy R projects with multiple files, and how to use the {renv} lockfile to manage dependencies in the AWS Lambda docker image

Noting the differences in deploying R vs Python apps on Posit Connect

R

Python

Automation

Shiny

Posit Connect

GitHub Actions

Clarifying confusion regarding using GitHub Actions to deploy R and Python Shiny apps

Using uv to manage the environment for a Python Shiny app and setting up a GitHub action to publish it to Posit Connect

python

Automation

Shiny

uv

GitHub Actions

A step-by-step guide to work with a Python Shiny app with the help of uv and a GitHub Actions workflow to have it published from GitHub to Posit Connect.

Shiny ducks: connecting to MotherDuck from Shiny

R

Shiny

duckdb

motherduck

Few notes about getting up and running with Shiny and Mother duck

Few notes on getting R package data from the local library

R

package

The missing conventions in the descriptions of packages

Joining the flock from R: working with data on MotherDuck

R

duckdb

database

Using R to connect to MotherDuck, the cloud data warehouse powered by DuckDB.

How to set up development and production environments using AWS Copilot: Example using a `plumber` API.

R

API

plumber

AWS

AWS Copilot

GitHub Actions

AWS ECR

AWS IAM

AWS AppRunner

CD/CI

Automation

In this post I dive deep into setting up a dev/stage/prod environment setup for a {plumber} API on AWS AppRunner

A simple workflow for async {shiny} with {mirai}

R

Shiny

async programming

mirai

daemons

parallelization

shiny module

A module-based approach to simplify async calls in {shiny} apps using {mirai}

A simple workflow for async {shiny} with {callr}

R

Shiny

async programming

callr

shiny module

An approach to simplify and standardize async calls in {shiny} apps using {callr}

100 days of Python and R

R

python

Random things from 100 days of code challenge.

Deploying Plumber API to AWS Elastic Container Service

AWS

AWS ECR

plumber

Posit Connect

Notes on deploying Plumber API to AWS ECS.

How to deploy Shiny application to Digital Ocean using GitHub Actions

R

Shiny

GitHub Actions

Digital Ocean

ShinyProxy

A walkthrough on setting up GitHub Actions for automatic deployment of Shiny application to DigitalOcean server running ShinyProxy

How to use buttons in a Reactable widget for navigation in a Shiny application

R

Shiny

bslib

reactable

A few helpful design patterns for navigation in {shiny} applications using buttons in a {reactable} widget

How to use Bootstrap 5 popovers in Shiny applications

R

Shiny

bslib

Bootstrap 5

popover

tooltip

popper.js

A few tips on using bootstrap 5 popovers in Shiny

Data wrangling tricks from the R4DS slack

R

r4ds

data analysis

shortcuts

R4DS slack tips and tricks.

How to use custom icons in Rmd reports and Shiny applications

R

Shiny

icons

htmltools

HTML

A workflow on how to create visually pleasing and effective static HTML visualizations of small-scale and heterogenous tabular data

How to set up an R-based AWS Lambda to write to AWS S3 on a schedule

AWS

R

r2lambda

AWS Lambda

AWS EventBridge

AWS S3

cron

An introduction to working with AWS S3 from R and a step-by-step workflow to set an AWS Lambda functon to save datasets to an S3 bucket on a weekly schedule

Set an R-based AWS Lambda function to run on a schedule

AWS

R

r2lambda

AWS Lambda

AWS EventBridge

AWS CloudWatch

cron

Tidytuesday

A step-by-step tutorial on how to deploy an R-based AWS Lambda function, how to set it to run on a recurring schedule, how to validate that the execution happens on schedule, and how to clean up. All from the R console.

An R AWS Lambda function to download Tidytuesday datasets

AWS

R

r2lambda

AWS Lambda

tidytuesday

A detailed walk through the steps to prepare a custom R script for deployment as AWS Lambda with the r2lambda package. How to prepare an R script? What are the roles of several key arguments? How to request longer timeout or more memory for a Lambda function? How to parse the response payload returned by the Lambda function?

Test an R-based AWS lambda function locally before deploying to the cloud

AWS

R

paws

AWS Lambda

AWS IAM

AWS ECR

Docker

package

Learn how to test an R-based AWS Lambda function locally before deploying it to the cloud using the r2lambda package. This post covers the steps to build, test, and deploy your Lambda function, ensuring it works correctly before using AWS resources.

Using {stevedore} to manage docker-based variant-calling pipelines from R

R

Bioinformatics

stevedore

Docker

gatk

deepVariant

Docker and stevedore for overcoming usual obstacles in complicated pipelines.

Deploy an R script as an AWS Lambda function without leaving the R console

R

AWS

paws

AWS Lambda

AWS IAM

AWS ECR

Docker

package

This post introduces the {r2lambda} package, which simplifies the process of deploying R scripts as AWS Lambda functions. It automates the steps of creating a Docker image, pushing it to AWS ECR, and creating the Lambda function, all from within the R console. The post provides a detailed guide on how to use the package, including writing the R script, deploying the Lambda function, and testing it. Additionally, it covers the necessary system and R dependencies, AWS configuration, and installation steps. The post concludes with a demo run and a discussion of future improvements for the package.

Rstudio in the cloud for those of us with old laptops part 2: automating with terraform

R

RStudio

AWS

EC2

Terraform

In this post, we automate the process of setting up an RStudio server on AWS EC2 using Terraform. This guide covers the prerequisites, writing the Terraform configuration, and extending it to install R and RStudio server on the instance.

Rstudio in the cloud for those of us with old laptops

R

Rstudio

AWS

EC2

A guide on setting up Rstudio server on an AWS EC2 instance for users with older laptops, including steps for installation, configuration, and secure access.

Getting Google Analytics data in R the long way

R

Google Analytics

Big Query

dbt

An overview of how to work with dbt and Big Query to analyze Google Analytics data

Python dashboards after Shiny for Python

Python

Dash

Streamlit

Exploring other dashboarding option in Python

Packaging a Python Shiny app

Python

Shiny

golem

A step-by-step guide on how to package a Python Shiny app, including directory structure, necessary files, and commands to build and run the package.

Using Wikidata to draw networks of Politically Exposed Persons #2

Python

Wikidata

Shiny

Building a PyShiny app for displaing data from Wikidata

Using Wikidata to draw networks of Politically Exposed Persons #1

Python

Wikidata

Introduction on getting data from Wikidata using python

How to invoke an AWS Lambda function with R and paws

R

AWS

paws

AWS Lambda

.Renviron

This post provides a step-by-step guide on how to invoke an AWS Lambda function using R and the {paws} package. It covers setting up AWS credentials, starting a Lambda service, listing available functions, and invoking a specific Lambda function with a payload. The post also includes examples and a custom function to streamline the process.

A {shiny} app to wrap BlasterJS and visualize NCBI BLAST results locally

Shiny

R

blasterjs

NCBI

BLAST

I recently learned about a really slick JavaScript component for interactive visualization of NCBI’s blast output. BlasterJS (Website, Paper) makes it possible to visualize b…

Using R and {paws} to populate DynamoDB tables #2

R

paws

AWS

dynamodb

How to start on using R with paws to work with AWS DynamoDB, part 2.

Building a multi-session {shiny} application with {brochure}

golem

R

Shiny

app

brochure

In this post, I share my experience building a multi-session Shiny application using the {brochure} package. I discuss the advantages of using {brochure} for creating independent Shiny sessions for different pages, the integration with {golem}, and the steps to deploy the application on shinyapps.io. Additionally, I provide a solution for handling URL redirects in different environments.

Using R and {paws} to populate DynamoDB tables

R

paws

AWS

dynamodb

How to start on using R with paws to work with AWS DynamoDB.

Using {shiny.i18n} with {golem} for server-side translation

Shiny

R

golem

shiny.i18n

internationalization

Hackathon

using-shiny-i18n-with-golem-for-server-side-translation

OpenBudget: A Shiny app for transparent finances in local government in North Macedonia

R

Shiny

Open data

Hackathon

Finances

OpenBudget: A Shiny app for transparent finances in local government in North Macedonia

WindsoraiR package for accessing Windsor.ai API from R

R

package

windsorair

Few notes on the package I wrote for Windsor.ai.

A guide for reproducible data analysis in Macedonian

R

rskopje

Rmd

data analysis

reproducible

An overview of the document we produced for the reproducible data analysis workshop.

Few things I learned while writing an R package

R

package

newscatcheR

On writing my first R package and publishing to CRAN.

Asynchronous background execution in Shiny using callr

background process

async programming

callr

R

Shiny

This post explores how to handle asynchronous background execution in Shiny applications using the callr package. We discuss the limitations of the current promises implementation in Shiny and demonstrate how to use callr::r_bg to run long computations in the background, allowing users to continue interacting with the app. The post includes example code and a link to a live demo app.

Six months of #rstats workshops in Skopje, and more

R

Python

tidytuesday

rskopje

pydata

Few notes on running R and Python workshops in Skopje.

Using GitHub actions with R: Some notes from our #TidyTuesday setup

R

Git

GitHub Actions

Rmd

CI/CD

Notes on using GitHub Actions with R for our #TidyTuesday setup, including automation of gh-pages publishing and handling dependencies.

Basic visual manupulation of phylogenies in R

R

StackOverflow

phylogenies

Some notes from StackOverflow.