Really pressed into a vector space analysis of C major scale and basic triads this morning, and got a few things out that I hope will inform my playing. Lot's of #ggplot2#rstats graphs too
I have received an unsolicited message (aka SPAM) for a statistical software package called SEM-PLS. Looks like a GUI for R to me. Some base plots, some #ggplot2, some statistics.
"You can purchase SEM-PLS 2023 with an 80 percent discount(Only 66 euros)"
Inspired and made possible by @nrennie, here's a typewriter elevation map of Japan. The characters to indicate increasing elevation are: 地, 低, 中, 高, and 峰.
I know it violates the data component/non-data component dichotomy but I wish it were easier to map aesthetics to categorical axis labels #rstats#ggplot2
What's going on with {plotly}? The R package has 600+ open issues on GitHub, many of them bugs that were reported 5+ years ago and still aren't fixed. Just ran into two of those bugs trying to make a simple line + ribbon plot and only one has a workaround. How are they funded? Is anyone working on these bugs? #plotly#ggplot2#rstats
I have been super busy with caregiving duties to multiple people, work, and trying to hold on to the last shred of sanity I have at this time. 😬 Here's some #rtistry outputs from today's distribution/texture practice. Made in #ggplot2 w/ #rstats
"{viridis} is an R package that presents colour-blind friendly palettes. It improves the graph readability. The advantage of {viridis} is that the palettes are perceptually uniform, easy to print in greyscale and colour-blind friendly. To use the {viridis} in ggplot2 simply ass:
📊 scale_colour_d()
In the slope graphs I generated in this example, I simply added the function above. The image shows four possible {viridis} palettes. #rstats#accessibility#ggplot2#dataviz
#TidyTuesday Rising popularity of #tidyverse group of packages (by @hadleywickham
and others) amongst top R packages used as imports by other R packages.
I’m teaching an intro to ggplot2 class next week to undergrads and graduate students. I’m super excited because I love ggplot2 and I feel like I have my intro lecture pretty well structured.
However, I’d love to know what you think I should definitely include in an intro class #rstats#ggplot#ggplot2#tidyverse