This document discusses how to read different types of data files into R. It covers reading in comma separated value (.csv) files, Excel (.xls, .xlsx) files, SAS (.sas7bdat) files, Stata (.dta) files, and HTML tables from the web. The key steps are to install and load the appropriate packages, then use functions like read.csv(), read.xls(), read.sas7bdat(), read.dta(), and readHTMLTable() to import the data. The data can then be assigned to an R object using <- for later analysis.

1. Reading data
into REVISED
2012-10-05@HSPH
Kazuki Yoshida, M.D.
MPH-CLE student
FREEDOM
TO
KNOW

2. Previously in this group
n Introduction to R
n Reading Data into R (1)
Group Website: http://rpubs.com/kaz_yos/useR_at_HSPH

3. Menu
n Configuring RStudio
n Installing/Loading packages
n Reading text files in
n Reading excel files in
n (Reading other files in)

4. Ingredients
Statistics Programming
n None n Install/Load packages
n read.____() functions
n <- (assignment)

5. http://mediacrushllc.com/2012/internet-statistics-2012/
is the study of the
collection, organization, analysis, interpretation,
and presentation of
data
http://en.wikipedia.org/wiki/Statistics

6. Supported
n .RData (native): load()
n .csv & text files: read.csv(), etc
n .xls/.xlsx: library(gdata) or library(xlsx)
n .sas7bdat: read.sas7bdat() via library(sas7bdat)
n .dta: read.dta via library(foreign)
n and more...
http://cran.r-project.org/doc/manuals/R-data.html

7. Create a folder for
this study group
This will be your working directory.

8. First
configure
Studio

9. Open
R Studio

10. Workspace
Console
Plot

11. Tools-Options

12. Restart RStudio
after cofiguration

13. Working directory?
Folder your are
working in

14. CRAN
mirror

15. Comprehensive
R You get
additional
Archive functionalities
from here!
Network
http://cran.r-project.org/web/packages/
available_packages_by_date.html

16. Create
a script

18. Source Workspace
Console Plot

19. Install
additional
packages

20. Install packages! foreign sas7bdat XML
gdata
xlsx

21. programming
way to load it Click to load
library(gdata)
packages

22. Use text file
such as csv
if possible

23. Download comma-separated and Excel
Put them in folder
BONEDEN.DAT.txt
BONEDEN.DAT.xls
http://www.cengage.com/cgi-wadsworth/course_products_wp.pl?
fid=M20bI&product_isbn_issn=9780538733496

24. For comma-, tab-, or
space-separated text,
GUI is available

25. Text

26. name of a dataset here
file name here
bone <- read.csv(“BONEDEN.DAT.txt”)
function to read .csv files

27. Excel next

28. Use gdata package
library(gdata)
bone <- read.xls(“BONEDEN.DAT.xls”)

29. Use xlsx package
library(xlsx)
bone <- read.xlsx(“BONEDEN.DAT.xls”, sheetIndex = 1)

30. Never type all
Always hit TAB
http://www.clickykeyboards.com/index.cfm/fa/
items.main/parentcat/10191/subcatid/0/id/179764

31. Never type all
F1 for help
Always hit TAB
http://www.clickykeyboards.com/index.cfm/fa/
items.main/parentcat/10191/subcatid/0/id/179764

32. Follow on-site
instructions

33. library(foreign)
bone <- read.xport(“BONEDEN.DAT.xpt”)
or
library(sas7bdat)
bone <- read.sas7bdat(“BONEDEN.DAT.sas7bdat”)

34. library(foreign)
bone <- read.dta(“BONEDEN.DAT.dta”)

35. HTML table!
http://
www.drugs.com/
top200_2003.html

36. library(XML)
drug2003 <- readHTMLTable("http://www.drugs.com/
top200_2003.html", which = 2, skip.rows = 1)

37. Menu
n Configuring RStudio
n Installing/Loading packages
n Reading text files in
n Reading excel files in
n (Reading other files in)

38. Ingredients
Statistics Programming
n None n Install/Load packages
n read.____() functions
n <- (assignment)