Posts by Tags

API

Deploying a {plumber} API to AWS EC2 instance

8 minute read

Published:

In the last decade, R infrastructure has grown by leaps and bounds. Expansions like {Shiny} and {plumber} made it extremely easy to generate value with your analysis and models. In this short tutorial, we will focus on rolling out an API via {plumber} on a free-tier Amazon Web Services (AWS) EC2 instance.

AWS EC2

Deploying a {plumber} API to AWS EC2 instance

8 minute read

Published:

In the last decade, R infrastructure has grown by leaps and bounds. Expansions like {Shiny} and {plumber} made it extremely easy to generate value with your analysis and models. In this short tutorial, we will focus on rolling out an API via {plumber} on a free-tier Amazon Web Services (AWS) EC2 instance.

conjoint experiment

Conjoint survey experiments and power analysis

3 minute read

Published:

Are you running a conjoint experiment and struggling with design considerations? Unsure about how many respondents, trials or levels for a variable are needed? This Shiny App for calculating power of a conjoint experimental design is here to help you.

online survey experiment

Conjoint survey experiments and power analysis

3 minute read

Published:

Are you running a conjoint experiment and struggling with design considerations? Unsure about how many respondents, trials or levels for a variable are needed? This Shiny App for calculating power of a conjoint experimental design is here to help you.

plumber

Deploying a {plumber} API to AWS EC2 instance

8 minute read

Published:

In the last decade, R infrastructure has grown by leaps and bounds. Expansions like {Shiny} and {plumber} made it extremely easy to generate value with your analysis and models. In this short tutorial, we will focus on rolling out an API via {plumber} on a free-tier Amazon Web Services (AWS) EC2 instance.

power analysis

Conjoint survey experiments and power analysis

3 minute read

Published:

Are you running a conjoint experiment and struggling with design considerations? Unsure about how many respondents, trials or levels for a variable are needed? This Shiny App for calculating power of a conjoint experimental design is here to help you.