Tested with
Python 2.7, OS X 10.11.3 El Capitan, Apache Spark 1.6.0 & Hadoop 2.6
Download Apache Spark and build it or download the pre-built version.
############################################################################################ | |
# This R function helps to interpret the output of the urca::ur.df function. | |
# The rules are based on https://stats.stackexchange.com/questions/24072/interpreting-rs-ur-df-dickey-fuller-unit-root-test-results | |
# | |
# urdf is the output of the urca::ur.df function | |
# level is one of c("1pct", "5pct", "10pct") | |
# | |
# Author: Hank Roark | |
# Date: October 2019 | |
############################################################################################ |
# Do this first time | |
# install.packages('devtools') | |
# devtools::install_github("rstats-db/bigrquery", ref = "master") | |
library(tidyverse) | |
# Use your project ID here | |
project <- "bqbbq-235416" # put your project ID here | |
# Your sql here |
# Do this first time | |
# install.packages('devtools') | |
# devtools::install_github("rstats-db/bigrquery", ref = "master") | |
# Use your project ID here | |
project <- "your project id here" # put your Google Cloud project ID here, it will be something like project-123456 | |
# Your sql here | |
# This use public data sets to get water-land ratio by zip code within | |
# 10 km of Seattle (zip code 98104) |
Tested with
Python 2.7, OS X 10.11.3 El Capitan, Apache Spark 1.6.0 & Hadoop 2.6
Download Apache Spark and build it or download the pre-built version.