Riffomonas: a method to learn reproducible data science

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R vs Python: Which should you learn for reproducible data science (CC168)

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Finding and loading data into R (CC159)

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How to recreate WEB DuBois's fan plot from the 1900 Paris Exposition using R and ggplot2 (CC342)

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Creating a broken x-axis using only the ggplot2 package in R (CC316)

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Three ways to use slurm on a high performance computer (HPC) (CC130)

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Using the vegan R package to generate ecological distances (CC188)

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A tutorial for writing functions in R (CC177)

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Recreating a grouped and labelled barplot in R with ggplot2 (CC308)

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Running non-metric multidimensional scaling (NMDS) in R with vegan and ggplot2 (CC187)

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Using adonis and betadisper from the vegan R package to compare groups (CC208)

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Going for simple with ggplot2 and dplyr (CC320)

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How to delete large files from your git/GitHub commit history (CC295)

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Using the mantel test to compare ecological matrices using the vegan R package (CC211)

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Introduction

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Welcome to the Riffomonas channel!

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The tutorial you need to maximize your use of vectors in R (CC273)

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How to create a data only R package with devtools (CC296)

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An introduction to Snakemake tutorial for beginners (CC248)

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Accessing values from data frames, data tables, tibbles, matrices, and vectors (CC278)

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Development of a example R package (CC266)

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Using renv to track the version of your packages in R (CC229)

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Positron or RStudio? First time Positron user creates scatter plot with R's ggplot2 package (CC333)

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Collaborating with yourself

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Benchmarking R functions for joining data frames (CC292)

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