jeromyanglim

This post examines the features of [R Markdown](http://www.rstudio.org/docs/authoring/using_markdown) 
using [knitr](http://yihui.name/knitr/) in Rstudio 0.96.
This combination of tools provides an exciting improvement in usability for 
[reproducible analysis](http://stats.stackexchange.com/a/15006/183).
Specifically, this post 
(1) discusses getting started with R Markdown and `knitr` in  Rstudio 0.96;
(2) provides a basic example of producing console output and plots using R Markdown;
(3) highlights several code chunk options such as caching and controlling how input and output is displayed;
(4) demonstrates use of standard Markdown notation as well as the extended features of formulas and tables; and 
(5) discusses the implications of R Markdown.

aim-up

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shivaas

1,2012-01-02,New Year Day
2,2012-01-16,Martin Luther King Jr. Day
3,2012-02-20,Presidents Day (Washingtons Birthday)
4,2012-05-28,Memorial Day
5,2012-07-04,Independence Day
6,2012-09-03,Labor Day
7,2012-10-08,Columbus Day
8,2012-11-12,Veterans Day
9,2012-11-22,Thanksgiving Day
10,2012-12-25,Christmas Day

jennybc

---
title: "twee demo"
author: "Jenny Bryan"
date: "17 August, 2014"
output:
  html_document:
    toc: TRUE
    keep_md: TRUE
---

jefferys

#===================================================
# Demo multi-function roxygen2 - three ways to do it
#===================================================

# This shows how things do work, including wierd corner cases, not
# how they should be done.  Most of the information comes from
#    http://r-pkgs.had.co.nz/man.html

#====================================================
# Demo multi-function roxygen2 page using @describeIn

wesrice

CREATE OR REPLACE VIEW sabermetrics_batting AS

SELECT
    batting.*,

    -- PA - Plate Appearances
    (batting.AB + batting.BB + batting.HBP + batting.SF + batting.SH) as PA,

    -- BB% - Walk Percentage (http://www.fangraphs.com/library/offense/rate-stats/)
    round((batting.BB / (batting.AB + batting.BB + batting.HBP + batting.SF + batting.SH)), 3) as BBpct,

hrbrmstr

jimhester

x <- c("Brown bear", "Red bird", "Yellow duck", "Blue horse", "Green frog", "Purple Cat", "Goldfish", "Teacher")
txt <- capture.output(cat(
  sprintf("%s, %s, what do you see?\n  I see a %s looking at me.\n", head(x, -1), head(x, -1), tail(x, -1)),
  sprintf("Teacher, Teacher what do you see\n  I see Children looking at me.\nChildren Children what do you see?\n  We see a %s and a Teacher looking at us, that's what we see.",
    paste0(collapse = ", ", head(x, -1))), sep = ""))
txt
#> Brown bear, Brown bear, what do you see?
#>   I see a Red bird looking at me.
#> Red bird, Red bird, what do you see?
#>   I see a Yellow duck looking at me.

apreshill

library(broom)
library(ggplot2)

# read in the data
# others available here: http://www4.stat.ncsu.edu/~stefanski/NSF_Supported/Hidden_Images/stat_res_plots.html
owl <- read.table("http://www4.stat.ncsu.edu/~stefanski/NSF_Supported/Hidden_Images/orly_owl_files/orly_owl_Lin_4p_5_flat.txt", 
    header = FALSE)

# fit the linear model
fit <- lm(V1 ~ . - 1, data = owl)

MonkmanMH

---
title: "Transform Data"
subtitle: "hands-on examples, with answers"
output: html_notebook
---

<!-- This file by Charlotte Wickham (with some modifications by Martin Monkman) is licensed under a Creative Commons Attribution 4.0 International License, adapted from the orignal work at https://github.com/rstudio/master-the-tidyverse by RStudio and https://github.com/cwickham/data-science-in-tidyverse-solutions. -->

```{r setup}
library(tidyverse)