{"id":398,"date":"2024-01-13T22:16:23","date_gmt":"2024-01-13T22:16:23","guid":{"rendered":"https:\/\/anil.tellbuescher.online\/?page_id=398"},"modified":"2024-09-21T20:55:22","modified_gmt":"2024-09-21T20:55:22","slug":"r","status":"publish","type":"page","link":"https:\/\/anil.tellbuescher.online\/index.php\/r\/","title":{"rendered":"R"},"content":{"rendered":"\n

I like to use R for work and also during my free time.

From time to time I update my Shiny App<\/strong> called LabCalculateR<\/a>, which offers a selection of calculation functionalities such as pipetting schemes for calibration stock solutions and other things that are done on a daily basis in the analytical chemistry lab.

I also created an R package<\/strong> called aquacultuR<\/a>, which builds on my Aquaculture Formulary<\/a> where I collect equations that are used in aquaculture research. My goal is that this package will allow to run a full-fledged analysis of data acquired during feeding trials with just one click on the knit<\/em> button in RMarkdown.<\/p>\n\n\n\n

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Workshops<\/h2>\n\n\n\n
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AQUA2024, Copenhagen, Denmark<\/h2>\n<\/div>\n<\/div>\n\n\n\n

During the AQUA2024 conference, I held an R workshop for beginners and intermediate level students. Below you can find the workshop slides to download.<\/p>\n\n\n\n

R Workshop – Block 1<\/a>Download<\/a><\/div>\n\n\n\n
R Workshop – Block 2<\/a>Download<\/a><\/div>\n\n\n\n
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Other<\/strong> R learning resources<\/strong><\/p>\n\n\n\n

Nowadays, there is a large number of resources to learn the basics of data analysis with R. Below is a selection of learning resources I can recommend.<\/p>\n\n\n\n

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Websites<\/strong><\/p>\n\n\n\n