Hi, my name is Jen Richmond.

Several weeks ago I attended #positconf in Seattle. I was super grateful to receive funding for my travel, stay, and registration from Posit as an Opportunity Scholar and now that I have had some time to reflect, I wanted to share some takeaways from the experience, in case they are beneficial to people who might be trying to decide whether to apply to go next year. The Opportunity Scholar program is a really great way to diversify the attendees at the conference, but there is no point inviting people from under-represented communities to attend if you don’t also do the much more difficult work of creating a space where they feel welcome.

When you are exploring a far off land and only know a tiny bit of the language they speak there, you ALWAYS carry a little dictionary with commonly used phrases translated from the language you speak into the other language. It is important to know how to ask someone where the toilets are while you are travelling! I have just started learning Python with Posit Academy in the lead up to #positconf2024 and I am trying to approach in the same way I would if I was learning French.

When you have data from a survey, the responses for each item are most often listed in different variables. Generally you have to average across the items to get a mean value for that scale for each participant. But dealing with calculations across rows is sometimes difficult in R. load packages + make some data library(tidyverse) pID <- c("p1", "p2", "p3", "p4", "p5", "p6") item1 = sample(1:7, 6, replace=T) item2 = sample(1:7, 6, replace=T) item3 = sample(1:7, 6, replace=T) item4 = sample(1:7, 6, replace=T) item5 = sample(1:7, 6, replace=T) survey <- data.

R-Ladies Sydney #RYouWithMe modules are the best place for beginner R user to start their learning journey- I am not at all biased. Start with Basic Basics here.

My favourite course is PSYC3361: Research internship. In recent years, we have gone all in on R and computational reproducibility. You can check out the course site (made with Distill) at https://internship3361.netlify.app/.

Students often ask me what the best resources for learning R are… #RYouWithMe is a great start… …but I have another Distill site that showcases some of my other favourites at iamlearningr.netlify.app

Here is a talk I gave for UNSW Psychology Honours about how revising their writing with the reviewer in mind.

Here is a talk I gave for UNSW Honours students about writing their honours general discussion.

Here is a talk I gave for UNSW Honours students about how to polish your thesis so that it will make your marker smile.