Having a fxxxing learning experience with Tarantino data set this weekend.
Playing around with ggpattern while figuring out how to overlay bar columns.
#rstats#dataviz#datavisualization
Gertrude Cox was a pioneer in experimental design and was the first woman elected into the International Statistical Institute in 1949.
🖼source: Wikipedia
Anyone in my twittersphere knows what could cause this motor to start without problem but after a minute or two suddenly begin to run faster and then stop?
Trying this inside `mutate()` (expectedly) gives a syntax error. Using the walruss operator doesn't help either. Any hint on how I can keep attributes of a vector when using the #tidyverse in #RStats?
Just discovered this #RStats gem. If you assign to a vector using `[ ]` it will keep all attributes 🥳
If you work a lot with labelled data coming from SPSS or SAS that's a BIG deal. So excited I came across this. Unfortunately this doesn't work inside `mutate()`, though 😢
Another great addition to upcoming #rstats#dplyr: the so-called "Context dependent expressions". For example, combining cur_data() with rowwise() allows you to fit models on nested tibbles without the need for {purrr}! Compare the following and see what you prefer:
I was just wondering if this would work and it does! Neat lil R trick: if you have a function that doesn't play nice with the pipe, just pipe to with() and now it works (assuming what you're piping is a data frame). I'm gonna use this for a lot of table()s.
An oldie but a goodie: Teaching #ggplot2 for the first time? We suggest not jumping into the code right away, but doing an example of the Grammar of Graphics on the board and by hand real slow 🐢🐢🐢 at first! 1/6