This document will contain relevant links, information, and allow us to quickly and collaboratively share code with good formatting.
Brady's Twitter: @bradyajohnston
https://forms.gle/7uuEMs47SuK5Nsm56
If any of these don't work, send me an email.
Session:
Use this space to introduce yourself! Just a brief bio about research you do, coding experience you might have etc.
Hello, I'm Soodeh
Hey guys, Heidar here
Hi I am Federica from Milan, Italy :)
Hi Brady, thanks for the workshop! Kalia
I am Paula (Pau VT), from Germany, but originally from Chile
Hello!
Hello! My name is Brady, and I am from Perth, australia. It is nice to have you all here!
Hello Brady
Hi everyone, this is Sam, I'm from Perth WA.
Hello all! I'm Callum and I'm from Perth Aus!
Hello, my name is Ayeisha and I am also from Perth, Australia.
Hello, My name is Khyati and am from India.
G'day, my name is James, currently in Perth.
Hello, my name is Alessio and I am from Lombardy, Italy
Hello! I'm Jacob - from Perth, Australia.
Hi I'am Julie Mallet, from France
Hi everyone, my name is Giada, I'm from Italy!
R version 4.0 has just been released! This is very exciting (for a number of nerdy reasons) but in this course we will be using R version 3.6.3 (you can use some version of 3.6.x) to keep things consistent with the materials.
R
and Rstudio
There is a great guide on how to download and install R if you haven't already, than can be found here. If you get lost try following this one instead.
Rstudio is not much use to you without R installed, and using R without Rstudio is a lot more effort than it is worth. Ensure that you have both installed, and that Rstudio boots up.
Downloading the R-markdown document for the first session here.
Posting of code:
If you haven't download the files here:
Let's start posting out plots.
If you have not downloaded files, download here:
Prograaming with R.
Files here
Files available here.
If you didn't save have success with making a function to make the plants grow, use the example one below:
grow_plants <- function(df, dog, growth_amount, sd){
growth_heights = rnorm(n = 3, mean = growth_amount * dog, sd = sd)
new_df_values <- data.frame(
day = rep(dog, 3),
height = growth_heights,
plant.id = LETTERS[1:3]
)
output_df <- rbind(df, new_df_values)
return(output_df)
}
or
or
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