Xachriel

test.line = "some characters"

print(test.line)

test.fun = function(x){
	print(x)
}

Xachriel

Nsheets = function(FILE){
  FAILED = FALSE
	i = 1
	while(!FAILED){
	
		test = try(read.xls(FILE, sheet=i), silent=TRUE)
		
		if(class(test) == "try-error"){
			stop(return(i-1))
		

Xachriel

#Using 64bit R 2.15.3
#Packages we are going to use

library(rjson)
library(data.table)
library(rbenchmark)

#set your WD where your unpackaged file is, or add path.
#Reading only partial data for this test, you can naturally do as you wish
eve = readLines("kms-2013-01-06-s.json", n=3001)

Xachriel

#Multicore (mc) requires snow package as multicore isn't on windows...
require(snow)

mc.fast.merging = function(data.list, nparts, cluster){

if(!is.list(data.list)) stop("data.list isn't a list")


while(length(data.list) != 1){ #Loop until everything is merged

Xachriel

#Using 64bit R 2.15.3
#Packages we are going to use
#download the packed data here: https://www.dropbox.com/s/c1rtcryp8p6500w/kms-2013-01-06-s.json.bz2
library(rjson)
library(data.table)
library(snow)
library(rbenchmark)
 
#set your WD where your unpackaged file is, or add path.
#Reading only partial data for this test, you can naturally do as you wish

Xachriel

require(gdata)
require("RCurl")
require("XML")


AtcSearch <- function(AtcCodes){
  #Function inside a function is bad practice...
  #DummySearch searches for one atc code
  DummySearch <- function(Code){  
  	#A link to WHO search

Xachriel

#Example for the kaggle forums.
library(FNN)
library(stats)

train <- read.csv("data/train.csv", header=TRUE, comment.char="")
test <- read.csv("data/test.csv", header=TRUE, comment.char="")

N <- 30000
set.seed(20140202)
trainingSet <- train[sample(1:nrow(train), N), ]