Here I just wanted to take a quick second to share a small code snippet that illustrates munging a contiguous dataset to a wide format. What do I mean by that? Consider the following example: let’s say we have a dataset where we have patients A, B, and C, and we take two tissues from each patient - one of Serum and one of TIF (tumor interstitial fluid), and from each tissue assay a whole host of metabolites, each with its own column.
Robert Amezquita
Computational Immunologist. Working at the intersection of data science, immunology, and genomics, with some cooking, travel, and dogs in the mix.
I decided to try retheming my site to be a bit more image focused, and to have a more modern look and feel to it. Just a fun way to spend a couple hours while my computer finishes unborking itself. Featured is a photo of the dogs in their ‘jetpacks’ (car harnesses) waiting for Jen to come back from her shopping trip.
Trying out a new post just to see how this system works. Already found that (featured) images don’t seem to be working on the home page, but do work on the /blog/ subdomain. Also I need to make sure to set the “type: ‘post’” in the YAML header. Anyways, let’s see how beautifully R code renders now again more..
## run in a chunk with include = FALSE ## library(tidyverse) ## Run within this chunk with echo = TRUE hello_world <- frame_data( ~first, ~second, ~third, ~fourth, "its", "a", "beautiful", "day" ) hello_world ## # A tibble: 1 x 4 ## first second third fourth ## <chr> <chr> <chr> <chr> ## 1 its a beautiful day Now what happens when I generate a plot?