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Neil Currie

@neilgcurrie

Jan 6

Struggling with functions in R?

You're not alone!

In this thread, I'll show you some tips and tricks for upping your function-writing game.

Let's dive in...

#rstats #coding #datascience

Functions are blocks of code organised together which perform a specific task.

R comes with many built-in functions which we can add to by downloading fantastic packages.

However, writing your own functions is where the true power of R lies - though it can be confusing.

1/16

In this thread I will cover:

1. When to write functions
2. How to write functions
3. Tidy evaluation
4. Passing multiple arguments with ellipsis ...
5. Error handling arguments
6. Side effects

2/16

Read 17 tweets

Neil Currie

@neilgcurrie

Dec 16, 2022

How to create dumbbell plots with ggplot2

Impress clients, make the complex simple and up your data vis game.

#rstats #datavis #datascience

Dumbbell plots are a great way of communicating information that can be grouped then split into two points.

I used one for TidyTuesday earlier this year:

github.com/neilcuz/tidytu…

But making them can be a little tricky.

I can show you how step-by-step.

Dumbbell plots can be created using 2 ggplot2 building blocks: geom_point and geom_line.

So let's start building from the ground up with some examples in each before combining to make a dumbbell plot.

Read 16 tweets

Neil Currie

@neilgcurrie

Nov 17, 2022

How to map with purrr in R...

...so you can ditch the for loops, tidy your code and handle errors with ease.

#rstats #datascience #coding

The map family of functions are a powerful weapon in your coding toolkit.

Maybe you've used the apply family of functions before?

These are similar but the syntax is much more straightforward and consistent across the functions.

Let's dive in.

1/11

First, when would you use a map function?

Whenever you would use a for loop.

Let's look at an example.

One way to refactor this code is to replace everything inside the loop with a function.

2/11

$mean_top_5 <- function (x) { x_ordered <- sort(x, decre$

Read 12 tweets

Neil Currie

@neilgcurrie

Oct 28, 2022

Ever struggled with error handling in R?

tryCatch can be a little tricky to learn.

But there's a simpler, lesser known alternative.

#rstats #coding #datascience

Errors in R can be annoying.

There's nothing worse than running a long piece of code then, part way through, it crashes.

You need to rewrite your code and start again.

That is where error handling comes in.

1/11

You might have heard of the purrr package.

It's part of the tidyverse and contains the amazing family of map functions.

But it's also got 2 other functions we can use for error handling that are much easier than tryCatch.

2/11

Read 12 tweets

Neil Currie

@neilgcurrie

Oct 20, 2022

How to use R with GitHub

...so you can share your projects, version control code and stand out from the crowd with a data portfolio

#rstats #coding #datascience

GitHub is an online platform used for hosting, tracking and collaborating on software projects, built on a free version control system, Git.

GitHub knowledge is a key skill for any data professional.

And a portfolio can make you seriously stand out from the crowd.

1/20

Getting setup can be a little tricky, but I can show you how.

The first thing to do is install git to your machine.

But you may already have it.

Run git --version in the shell to find out.

If it prints the version, congratulations! You already have it.

2/20

Read 21 tweets

Neil Currie

@neilgcurrie

Oct 7, 2022

Writing functions in R troubling you?

How and when to write your own functions (including the mysteries of non-standard evaluation and the ellipsis ...)

#rstats #coding #datascience

In this thread I will cover:

1. When to write functions
2. How to write functions
3. Tidy evaluation
4. Passing multiple arguments with ellipsis ...
5. Error handling arguments
6. Side effects

2/16

Read 17 tweets

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