kamermanpr

#Article Network ver 2
#============================

# This program will scrape all citing articles surrounding one main article and 
# create: 1) a list of most cited articles, 2) lists of main authors, 3) network of articles
# Mike Barnkob, December 28th 2015.
# www.mikebarnkob.dk

#Background and references
#1. https://cran.r-project.org/web/packages/rentrez/vignettes/rentrez_tutorial.html#advanced-counting

kamermanpr

#!/bin/bash
# By Peter Kamerman ([email protected])
##########
# FUNCTION
##########
# Script to toggle the proxy configurations of the terminal, git, and R
# for use behind a proxy server (e.g., at work) and no proxy (e.g., home).
########################
# DISCLAIMER and LICENSE
########################

kamermanpr

#!/bin/bash

# I use this script after a clean install of macOS to re-install homebrew, git, and xcode tools.

## Install xcode tools
xcode-select --install

## Install homebrew
ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

kamermanpr

# Wald confidence interval of robustlmm::rlmer beta coefficients

# Adapted from code provided Ben Bolker on StackExchange: https://stats.stackexchange.com/questions/233800/how-can-i-get-confidence-intervals-for-fixed-effects-using-the-rlmer-function-r

confint.rlmerMod <- function(object, level = 0.95) {
  
  # Extract beta coefficients
  beta <- fixef(object)
  

kamermanpr

Install Xcode command line tools, Homebrew, and Git on macOS

Install the following apps on your mac running macOS:

1. (standalone) Xcode Command Line Tools
2. Homebrew
3. Git

Modified from: https://www.moncefbelyamani.com

kamermanpr

############################################################
#                                                          #
#         The effect of starting investment amount         #
#      on returns realised. The magic of compounding       #
#                                                          #
############################################################

# Load packages
library(ggplot2)

kamermanpr

#-- Load packages --#
library(readr)

#-- OpenPrescribing API details --#
# API details can be found here: https://openprescribing.net/api/
# Drug codes can be obtained here: https://openprescribing.net/analyse/

#-- Download pregabalin data --#
## Total items prescribed
total_pregabalin <- read_csv('https://openprescribing.net/api/1.0/spending/?code=0408010AE&format=csv')