AndrewTheTM

library(foreign)
library(ggplot2)

#This is where my files are at
setwd("C:\\Modelrun\\10a10b10a08aV80")

#This is the data frame that will hold the output statistics
stats<-data.frame(iter=1:99,mae=0,mse=0)

#Loop through files

AndrewTheTM

#
# AutoOwnership.R
# Estimates an auto ownership model
#

# requires: run ProcessTSkim.R first

library(foreign)

HH<-subset(read.dbf("data/hhdbf4.dbf"),INCOME<=4)

AndrewTheTM

HHSamp<-HH[0,]
HHTest<-HH[0,]
s=1
t=1
for(i in 1:4){
  print(paste(c("Income ",i),collapse=""))
  for(a in 0:4){
    print(paste(c("Autos ",a),collapse=""))
    ss=subset(HH,TOTVEH==a & INCOME==i)
    if(nrow(ss)<10 & nrow(ss)>=2){

AndrewTheTM

library(rjson)
library(ggplot2)
library(reshape2)
url<-'http://www.siliconcreek.net/jsonFiles/2B63LXLE3gfMaYqjGELesD0djGk.json'
dat<-fromJSON(file=url, method='C')
datdf=lapply(dat,ldply)
datdf=ldply(datdf)
datdf$obsId=rep(1:(nrow(datdf)/3),each=3)
datdf<-dcast(datdf,obsId~.id,value.var="V1")
pTemp=ggplot(datdf,aes(x=timestamp,y=temp))+geom_point()

AndrewTheTM

library(foreach)

countData<-list.files(path="data/",pattern="*.csv")
fileList<-foreach(f=files,.combine="rbind") %do% {
  return(read.csv(paste("data/",f,sep="")))
}

# My files are stored in the data subfolder relative to the script location, and they are all .csv files.

AndrewTheTM

# Reads log files and generates statistics and pretty charts about the closure

library(stringr)
library(ggplot2)
library(scales)

# Folder for my model.  Change this!
modelFolder="C:/Modelrun/GitModel80/Base/"

# Reads print files from assignment steps.  Change the filenames!

AndrewTheTM

source("00Keys.R")

source("http://raw.githubusercontent.com/osPlanning/omx/dev/api/r/omx.R")
library(ggplot2)
library(plyr)

hskimpk=readMatrixOMX(paste(modelFolder,"HSKIM_PK1.OMX",sep=""),"TIME")
askimam=readMatrixOMX(paste(modelFolder,"AMAsn.OMX",sep=""),"TIME")
H5close()

AndrewTheTM

; Do not change filenames or add or remove FILEI/FILEO statements using an editor. Use Cube/Application Manager.
RUN PGM=MATRIX PRNFILE="C:\MODELRUN\TRUCKMODEL\CUBE\NPMAT00A.PRN"
FILEO PRINTO[1] = "C:\Modelrun\TruckModel\Cube\Inputs\InitStats.RPT"
FILEI DBI[1] = "C:\Modelrun\TruckModel\Cube\Inputs\TrucksLoaded.DBF"

PAR ZONES = 1

LOOP r = 1, DBI.1.NUMRECORDS
  x=DBIReadRecord(1, r)
  IF(DI.1.TSCN > 0)

AndrewTheTM

library(openxlsx)

dat<-read.xlsx("file path","Sheetname")
# Optionally, add startRow = 13, possibly colNames=F

AndrewTheTM

import json,urllib,cairoplot

url='http://thedataweb.rm.census.gov/data/2010/sf1?key={YOUR_KEY_HERE}&get=P0010001,NAME&for=county:025,017,061,165&in=state:39'
result=json.load(urllib.urlopen(url))

graphData=[]
graphLabels=[]


for row in result: