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id | name | |
---|---|---|
id_0 | A&E closures | |
id_1 | A&E diverts | |
id_2 | Trolley-waits over 12 hours | |
id_3 | Cancelled operations | |
id_4 | Critical care transfers | |
id_5 | Ambulances queuing | |
id_6 | G&A beds | |
id_7 | D&V, Norovirus | |
id_8 | Delayed transfers of care |
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id_0 | A&E closures | |
---|---|---|
id_1 | A&E diverts | |
id_2 | Trolley-waits over 12 hours | |
id_3 | Cancelled operations | |
id_4 | Critical care transfers | |
id_5 | Ambulances queuing | |
id_6 | G&A beds | |
id_7 | D&V, Norovirus | |
id_8 | Delayed transfers of care |
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<?xml version="1.0" encoding="UTF-8"?> | |
<!DOCTYPE plist PUBLIC "-//Apple Computer//DTD PLIST 1.0//EN" | |
"http://www.apple.com/DTDs/PropertyList-1.0.dtd"> | |
<plist version="1.0"> | |
<dict> | |
<key>Disabled</key> | |
<false/> | |
<key>Label</key> | |
<string>com.edb.launchd.postgresql-9.1</string> | |
<key>ProgramArguments</key> |
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########################################################################################################## | |
# | |
# Tuija Sonkkila | |
# | |
# An interactive R Shiny web application | |
# on Aalto University lecture data | |
# from data.aalto.fi | |
# | |
# http://linkedscience.org/2013/07/09/an-interactive-r-shiny-application-on-data-aalto-fi-lectures/ | |
# |
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# Script to create data for http://ukdataexplorer.com/census/ | |
# Author James Trimble, james.trimble at yahoo.co.uk | |
# | |
# This code is based on Alex Singleton's work: | |
# http://rpubs.com/alexsingleton/openatlas | |
# http://www.alex-singleton.com/2011-census-open-atlas-project/ | |
# | |
# The script takes around an hour to run. It could be made faster! | |
# The script requires a lookup table and shapefile from | |
# https://geoportal.statistics.gov.uk/geoportal/catalog/search/browse/browse.page |
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library(shiny) | |
library(maps) | |
library(maptools) | |
library(ggplot2) | |
library(plyr) | |
library(XML) | |
# Define server logic required to plot various variables against mpg | |
shinyServer(function(input, output, session) { | |
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<!DOCTYPE html> | |
<!-- | |
-- by @hrbrmstr (2013) | |
-- MIT License | |
--> | |
<html> | |
<head> | |
<title>Central Maine Power Live Outage Map</title> | |
<meta charset="utf-8"/> | |
<meta http-equiv="refresh" content="300"/> |
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library(RJSONIO) | |
library(plyr) | |
#racechart | |
#Helper functions | |
getNum=function(x){as.numeric(as.character(x))} | |
timeInS=function(tStr){ | |
x=unlist(strsplit(tStr,':')) | |
tS=60*getNum(x[1])+getNum(x[2]) |
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# for *pert functons | |
library('mc2d') | |
# given the number of loss events, calculate the sum of losses for the number of events | |
sample_LM <- function(N, L, ML, H, CONF){ | |
# Calculate the aggregate loss | |
# | |
# ARGS: | |
# N - number of threat events to evaluate | |
# L - low boundary |
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library(shiny) | |
library(mc2d) | |
library(ggplot2) | |
library(scales) | |
shinyServer(function(input,output){ | |
values <- reactiveValues() | |
values$N <- 50000 |
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