ggplot2new

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Welcome to Learn ggplot2 using Shiny App!

Hello ! My name is Keon-Woong Moon. I am a Professor of Cardiology at Catholic University of Korea, South Korea. It’s an honor and pleasure to introduce you my shiny app-Learn ggplots.

Where can I buy a book?

You can buy my book at Springer.com or amazon.

What this app aims

This app is for reseachers, students or professors who want to learn how to make a plot with ggplot2. With this app, you can make your plot step by step without coding. You can obtain beautiful plots in png or pdf format. You can also download the powerpoint file with or without r code by just a click.

What you need for this app

All you need for this app is a modern web browser supporting HTML5(chrome, opera, safari and …). No R installation is required. No LaTex installation is required. This app is independent of operating system of your computer. Windows, Mac and Linux PCs are all compatible. You can use even a tablet PC or a smartphone.

Which Sever is available

At present, I maintained three servers. You can choose any server among followings. Please find the nearest server and enjoy the app.

Can I run this app in my computer?

Yes. You can run this app in your computer. You need the R and RStudio installed in your computer. Install the shiny package and run the followong R code.

shiny::runGitHub(“cardiomoon/ggplot2new”)

Where can I download the the source file

You can download the source file at my GitHub Page. Please visit https://github.com/cardiomoon/ggplot2new.

Warranty

R is free software and comes with ABSOLUTELY NO WARRANTY. My shiny app is also free software and comes with ABSOLUTELY NO WARRANTY.

Acknowledgements

No app is the product of a single person. There are many people who helped make this app possible, directly and indirectly. I’d like to thank the R community for creating R. Thanks to RStudio for creating RStudio and Shiny.

Thanks to Hadley Wickham who developed R package ggplot2. Thanks to Winston Chang who wrote the book R graphics cookbook and developed R package gcookbook. I was inspired by his book. For Koreans I strongly recommend my book “web-based anlaysis with R”.