USMortality

# Variables
APP_NAME="sftpgo"
DOMAIN="ftp.example.com"
EMAIL="your-email@example.com"
ENABLE_LETS_ENCRYPT=true  # Set to false to disable Let's Encrypt setup

# Create Dokku app
dokku apps:create $APP_NAME

# Set up domain

USMortality

#!/bin/bash

# Update the package list and upgrade installed packages
sudo apt-get update && sudo apt-get upgrade -y

# Clean up APT cache
sudo apt-get clean

# Remove unnecessary packages
sudo apt-get autoremove -y

USMortality

USMortality

# Study: https://www.nature.com/articles/s41591-022-01816-0

library(readxl)
library(dplyr)
library(ggplot2)

sf <- 2
options(vsc.dev.args = list(width = 600 * sf, height = 335 * sf, res = 72 * sf))

download.file(

USMortality

#!/bin/bash

# Ensure the required tools are installed
command -v pdftoppm >/dev/null 2>&1 || {
    echo "pdftoppm is not installed. Exiting."
    exit 1
}
command -v tesseract >/dev/null 2>&1 || {
    echo "Tesseract is not installed. Exiting."
    exit 1

USMortality

#!/bin/sh

### Prerequisites: MacOS: Homebrew & NodeJS
# brew install n # Homebrew: https://brew.sh
# n install lts

npm install -g playwright
playwright install chromium

export NODE_PATH=$(npm root -g)

USMortality

# Standard Populations from SEER.gov

# Helper Functions:
## Splits an age group string by its start and end year.
split_age_group <- function(age_group) {
  ages <- strsplit(age_group, "-")
  c(as.integer(ages[[1]][1]), as.integer(ages[[1]][2]))
}

## Split weights for an age group uniformly.

USMortality

library(readr)
library(dplyr)
library(ggplot2)
library(lubridate)
library(tsibble)
library(scales)

sf <- 2
width <- 600 * sf
height <- 335 * sf

USMortality

library(readr)
library(dplyr)
library(ggplot2)
library(tsibble)
library(lubridate)
library(fable)
library(scales)

sf <- 2
width <- 900 * sf

USMortality

library(readr)
library(dplyr)
library(tsibble)
library(fable)
library(ggplot2)
library(scales)

sf <- 2
width <- 900 * sf
height <- 450 * sf