nharrell04

best <- function(state, outcome){
  outcome_data <-read.csv("outcome-of-care-measures.csv", colClasses = "character")
  ##
  state_options <- outcome_data[,7]
  if(state %in% state_options){}
    else
      {
        stop("invalid state")
      }
  if(outcome !="heart attack"){break}

nharrell04

pollutantmean <- function(directory, pollutant, id = 1:332) {
  files <- sprintf("%s/%03d.csv", directory, id)
  measurements <- c()
  for (file in files) {
    frame <- read.csv(file)
    file_measurements <- frame[[pollutant]]
    measurements <- c(measurements, file_measurements)
  }
  mean(measurements, na.rm = TRUE)
}

nharrell04

pollutantmean <- function(directory, pollutant, id) {
  currentdir <- getwd()
    if (currentdir != ~directory){
      setwd(~directory) ## returns Error in setwd(directory): cannot change working directory
    }
  monitorinfo <-read.csv(id)## takes id and reads that .CSV file
  ## will monitorinfo work if given a sequence e.g, 1:10?
  pollutantcol <- monitorinfo[,pollutant]
  pollutantcolnoNAs <- pollutantcol[!is.na(pollutantcol)] ## gets rid of NAs
  meanpol <- mean(pollutantcolnoNAs)

nharrell04

makeVector <- function(x = numeric()) {
        m <- NULL
        set <- function(y) {
                x <<- y
                m <<- NULL
        }
        get <- function() x
        setmean <- function(mean) m <<- mean
        getmean <- function() m
        list(set = set, get = get,

nharrell04

> setwd("~/Downloads")
> hw1_data <- read.csv("hw1_Data.csv", header = TRUE)
> colnames(hw1_data)
[1] "Ozone"   "Solar.R" "Wind"    "Temp"    "Month"   "Day"    
> tworows <- hw1_data[1:2,]
> tworows
  Ozone Solar.R Wind Temp Month Day
1    41     190  7.4   67     5   1
2    36     118  8.0   72     5   2
> nrow(hw1_data)

nharrell04

oztemp <- hw1_data[,hw1_data$Ozone > 31 && hw1_data$Temp > 90] ## hw1_data is the full data fram I'm working with
## I'm trying to get all of the rows where the value in the Ozone column is above 32 and the values in the Temp column are above 90
## instead oztemp is a data frame w/ 0 columns and 153 rows (there are 153 rows in the data frame)

nharrell04

<?php // login.php
$db_hostname = 'localhost'; // whatever hostname actually is
$db_database = 'law_lib_guides';
$db_username = 'username'; //possibly root?
$db_password = 'password'; // also possibly root
?>

nharrell04

<?php
require_once 'login.php';
$db_server = mysql_connect($db_hostname, $db_username, $db_password);

if (!$db_server) die("Unable to connect to MySQL: " . mysql_error());

mysql_select_db($db_database, $db_server)
	or die("Unabale to select database: " . mysql_error());

$url_query = "SELECT url FROM guides";

nharrell04

from urllib2 import urlopen

def gethtml(url):
    return urlopen(url).read()

def extract(url):
    html = gethtml(url)
    return html.find('guides')
    # finds the location of the first mention of "guides"
    

nharrell04

from urllib2 import urlopen
from hashlib import md5
from collections import namedtuple

class research_guides:
    def __init__(self, url, hashes, title, author, subject):
        self.url= url
        self.hashes = hashes
        self.title = title
        self.author = author