38:52

Adding patterns to barplots with ggpattern and ggplot2 in R (CC319)

34:14

Creating bar plot with error bars using ggplot2's stat_summary in R (CC318)

22:59

Putting a break in the x-axis using facet_grid from ggplot2 R package (CC317)

34:17

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

22:17

Recreating a Venn diagram with geom_ribbon from ggplot2 in R (CC315)

24:52

Recreating a Venn diagram with ggplot2 in R as a scatter plot (CC314)

28:33

Making a labelled slope plot with the help of R's ggrepel and ggplot2 (CC313)

30:16

Making a labelled scatter plot with the help of R's ggrepel and ggplot2 (CC312)

29:27

Using ggplot2's facet_wrap to create three panelled figure in R (CC311)

31:05

Composing two box plots with significance lines in R's ggplot2 and patchwork (CC310)

24:42

Data viz make over from bar plot to dot plot with ggplot2 in R (CC309)

47:05

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

27:51

Converting a 1D scatter plot to a histogram or density plot using the ggplot2 package in R (CC307)

59:57

Submitting an R package to CRAN with help from the devtools package (CC306)

30:07

Customizing axes in a 1D scatter plot using the ggplot2 package in R (CC305)

33:32

Comparing and optimizing performance of phyloytypr to mothur (CC304)

27:49

Closing issues on GitHub when building R packages with test driven development (CC303)

25:39

The effect of debug mode when benchmarking R package performance (CC302)

38:16

Using the precommit R package to automate testing code and documentation quality(CC301)

34:30

Using lintr and styler to improve the quality and readability of R code (CC300)

24:51

How to use GitHub actions to build on other operating systems and test code coverage (CC299)

34:44

How to create a website for your R package with pkgdown (CC298)

36:31

How to create a vignette for an R package (CC297)

38:08

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

17:13

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

31:40

Adding built in data to an R package (CC294)

39:41

Using Roxygen2 to document functions in an R package (CC293)

34:58

Benchmarking R functions for joining data frames (CC292)

38:11

Benchmarking R functions for reading tsv files (CC291)

33:58

Benchmarking methods for reading text files in R (CC290)

41:37

Writing an R function to read FASTA-formatted files (CC289)

26:30

Incorporating C++ code in an R package with Rcpp and devtools (CC288)

31:16

Integrating ideas from Stack Overflow to improve our R code (CC287)

23:26

Using R's profvis package to diagnose and resolve bottlenecks (CC286)

29:23

Base R's paste and paste0 functions: how to use the sep and collapse arguments (CC285)

34:46

Finding the consensus classification using anonymous functions (CC284)

34:30

Generating and classifying bootstrap replicates with test driven development (CC283)

40:52

base R, stringi, and stringr: Benchmarking string manipulations with (CC282)

39:21

Refactoring R code to make it faster and more memory efficient (CC281)

32:28

Renaming our R package, updating RStudio and R, organizing code, and passing Check! (CC280)

41:14

Comparing duckdb and duckplyr to tibbles, data.tables, and data.frames (CC279)

31:57

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

43:47

The tutorial you need to maximize your use data frames in R (CC277)

37:46

The tutorial you need to maximize your use of R's lists (CC276)

34:30

Evaluating the performance of various methods for generating vectors in R (CC275)

58:38

The Team, The Team, The Team: Reductionism vs holism in microbiome research (CC274)

36:24

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

29:06

Brute force building a kmer database in R - what could go wrong? (CC272)

45:07

Using base R and testthat to calculate probabilities (CC271)

29:55

Base conversion in R to represent DNA sequences in base 4 (CC270)

31:31

Demonstration of test driven development in R with testthat (CC269)

29:23

Understanding the RDP's Bayesian classifier for 16S rRNA genes (CC268)

23:18

First steps towards my first real R package (CC267)

46:42

Development of a example R package (CC266)

34:34

How to turn your git history into a GIF with ImageMagick (CC265)

18:44

How to add maps to a ggplot2 figure in R (CC264)

21:48

Incorporating logic into a visual made with R using a case_when statement (CC263)

11:50

How to use a custom font in R with showtext and google fonts (CC262)

18:20

Rewrite your commit history using git rebase to squash commits (CC261)

28:00

How to use GitHub actions to run a Snakemake pipeline (CC260)