andrewheiss

library(tidyverse)
library(parameters)
library(ggdist)

# :(
lm(body_mass ~ 0 + species, data = penguins) |>
  model_parameters() |>
  ggplot(aes(x = Coefficient, y = Parameter, color = Parameter)) +
  geom_pointrange(

andrewheiss

library(tidyverse)

ggplot(data = tibble(x = 1, y = "A"), aes(x = x, y = y)) +
  geom_pointrange(aes(xmin = 0.5, xmax = 1.5), color = "#1D6996") +
  annotate(
    geom = "text",
    label = "geom_pointrange()",
    x = 1,
    y = 1.5,
    hjust = 0.5,

andrewheiss

#!/usr/bin/env bash

# Required parameters:
# @raycast.schemaVersion 1
# @raycast.title Create Positron playground project
# @raycast.mode silent

# Optional parameters:
# @raycast.argument1 { "type": "text", "placeholder": "Project folder name" }
# @raycast.icon 🛝

andrewheiss

In this paper, the authors explore ████ ███████ ██ ███ ██████████ ██ ███████ ███ █████ ██████ ██ ████████ ██████ ███████████ ███ █████ ██ ██████████ ████ ██ ███████████ ████ ███ ██████ ██ ██████ █████████ █████████ █████ ███ ███ █████ ██ ███ ████ █████████ ███ ████████ █████ ████ ███ ███████████ █████████ █████ ██████████████ ███████ ██ ███ ████ ██████. This is important work!

The theory is strong and the qualitative work is well done and complements the experiment. I have some reservations and questions about the methods and analysis, but these issues are all fixable. I list my observations and comments below.

---

praise: This is an excellent and tightly written experiment that tests a specific, narrow, important hypothesis in a rigorous way. This is all incredibly fascinating and well done!

---

andrewheiss

library(tidyverse)
library(tidytext)
library(schrute)
library(rcartocolor)
library(ggh4x)

# Get all the words as single rows
all_words <- schrute::theoffice |> 
  mutate(season_cat = factor(season)) |> 
  unnest_tokens(output = word, input = text) |> 

andrewheiss

library(tidyverse)

# Download the annual HadCRUT.5.1.0.0 data from
# https://www.metoffice.gov.uk/hadobs/hadcrut5/data/HadCRUT.5.1.0.0/download.htm
hadcrut <- read_csv(
  "HadCRUT.5.1.0.0.analysis.summary_series.global.annual.csv"
) |>
  rename(
    anomaly = `Anomaly (deg C)`,
    conf_low = `Lower confidence limit (2.5%)`,

andrewheiss

library(tidyverse)
library(sf)
library(rnaturalearth)
library(ggtext)

clr_ocean <- "#d9f0ff"
clr_land <- "#facba6"

world <- ne_countries(scale = 110) |>
  filter(admin != "Antarctica")

andrewheiss

alias get_seed='curl "https://www.random.org/integers/?num=1&min=10000000&max=99999999&col=1&base=10&format=plain&rnd=new"'

andrewheiss

---
title: "Cross reference fun times"
crossref:
  custom:
    - kind: float
      key: appfig
      latex-env: appfig
      reference-prefix: Figure A
      space-before-numbering: false
      latex-list-of-description: Appendix Figure

andrewheiss

library(tidyverse)

# Here's some state-level data
some_state_data <- tribble(
  ~state, ~something,
  "Wyoming", 5,
  "North Carolina", 9,
  "Nevada", 10,
  "Georgia", 3,
  "Rhode Island", 1,