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Agile principles summarized in key words

1. Customer focus: Our highest priority is to satisfy the customer through early and continuous delivery of valuable software.
2. Adapting: Welcome changing requirements, even late in development. Agile processes harness change for the customer's competitive advantage.
3. Working cycles: Deliver working software frequently, from a couple of weeks to a couple of months, with a preference to the shorter timescale.
4. Teamwork: Business people and developers must work together daily throughout the project.
5. Team support: Build projects around motivated individuals. Give them the environment and support they need, and trust them to get the job done.
6. Communication: The most efficient and effective method of conveying information to and within a development team is face-to-face conversation.
7. Functioning product: Working software is the primary measure of progress.
8. Iterative cycles: Agile processe

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setwd("~/Desktop")
require(devtools)
# pkgs = c('slidify', 'slidifyLibraries')
# install_github(pkgs, 'ramnathv', ref = 'dev')
library(slidify)
library("slidifyLibraries")
author("")
slidify("index.Rmd")
publish(user = "USER", repo = "REPO")

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# options http://goo.gl/2JGwlX

Models
```{r,  eval:TRUE, cache=TRUE, results=asis, warning=FALSE, error=TRUE, message=FALSE, include=FALSE, tidy=TRUE}
summary(cars)
```

Plots
```{r, fig.width=7, fig.height=6}
plot(cars)

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---
title       : 
subtitle    : 
author      : 
job         : 
framework   : io2012        # {deckjs, shower, dzslides, landslide, html5slides, ...}
highlighter : highlight.js  # {highlight.js, prettify, highlight}
hitheme     : tomorrow      # 
widgets     : []            # {mathjax, quiz, bootstrap}
mode        : standalone    # {, draft, selfcontained}

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Reproducible research protocol

As partially described in previous sections, we followed a reproducible research protocol along the lines previously described by our group (Vissoci, 2013). Briefly, all data sets, scripts, templates, software and workflows generated under this project were deposited under the public repositories Github and figshare. For access to the specific data for this project please refer to

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Item generation

Bibliographic sources

General sources

Quora Stack exchange

Situations & multimedia

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Titulo

Abstract

Introduction

Relevancia

*Prevelência de lesoes e deficiencias *Custo em reabilitação

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R: A Language and Environment for Statistical Computing, R Core Team, R Foundation for Statistical Computing, Vienna, Austria, 2013, http://www.R-project.org/

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############################################################################
#BACKLOG
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############################################################################
#SETTING ENVIRONMENT
#############################################################################

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doInstall <- TRUE
toInstall <- c("ggplot2", "poLCA", "reshape2")
if(doInstall){install.packages(toInstall, repos = "http://cran.us.r-project.org")}
lapply(toInstall, library, character.only = TRUE)

ANES <- read.csv("http://www.oberlin.edu/faculty/cdesante/assets/downloads/ANES.csv")
ANES <- ANES[ANES$year == 2008, -c(1, 11, 17)]  # Limit to just 2008 respondents,
head(ANES)  # remove some non-helpful variables
# Adjust so that 1 is the minimum value for each variable:
ANES <- data.frame(apply(ANES, 2, function(cc){  cc - min(cc, na.rm = T) + 1  }))