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project.org)R. .

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3 IT World

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IDG Deep Dive | , R

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IDG Deep Dive | , R

install.packages(quantmod)

library(quantmod)

getSymbols(AAPL)

barChart(AAPL)

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barChart(AAPL, subset=last 14 days)

chartSeries(AAPL, subset=last 14 days)

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Quandl(www.quandl.com)Datamarket(http://datamarket.com). R .

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9 IT World

IDG Deep Dive | , R

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save(variablename, file=filename.rda)

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IT World 10

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IDG Tech LibraryIDG Tech Library IDG ,IT . Computer World, Info World, CIO,Network World IT

IDG Deep Dive, Tech Focus, Summary, World Update.

IDG() 1 108 4 100-161 Tel : 02-558-6950 Fax : 02-558-6955 www.itworld.co.kr www.twitter.com/ITWorldKR www.facebook.com/ITworld.Korea

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IDG Deep Dive | , R

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1 | PlantGrowth str()

2 | diamonds summary

IDG Deep Dive | , R

install.packages(psych)

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library(psych)

psych , R library . .

describe(mydata)

, , , () () .Rmean(), median(), min(), max(), sd() (), var() (),

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cor(mydata)

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na.rm=TRUE

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3 |

IDG Deep Dive | , R

NA. .

mean(myvector, na.rm=TRUE)

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?median

na.rm . (Outlier) mean()(Trim) .R . , 15

4? 15! / 4! x 11! R choose() .

choose(15,4)

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IDG Deep Dive | , R

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(, 1, 2, 3, ). , mtcars

mpg, cyl, disp, hp, drat, wt, qsec, vs, am, gear, carb.

? str(mtcars)head(mtcars) .

names(mtcars)

mtcars.colnames () .

mtcars.colnames

IDG Deep Dive | , R

. , mtcars$mpg ..

-- . , [, ]. , . mtcars 2 ~ 4, .

mtcars[,2:4]

2:4 ? , . , . 3 2 4, .

mtcars[,c(2,4)]

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mtcars[, -1] .

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(2,4)] . c .

mtcars[,c(2,4)]

mpg > 20? .

mtcars$mpg>20

mpg20 . ,

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IDG Deep Dive | , R

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[1] TRUE TRUE TRUE TRUE FALSE FALSE FALSE TRUE TRUE

[10] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE

[19] TRUE TRUE TRUE FALSE FALSE FALSE FALSE TRUE TRUE

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mtcars[mtcars$mpg>20,c(1,4)]

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mtcars[mtcars$mpg>20,c(mpg,hp)]

mpgmtcars$mpg? R . , .

17 IT World

IDG Deep Dive | , R

mpg20 20

cols 20, c(mpg, hp))

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IDG Deep Dive | , R

mpg?

subset(mtcars, mpg==max(mpg))

mpgmpg .

subset(mtcars, mpg==max(mpg), mpg)

subset , .

subset(mtcars, , c(mpg, hp))

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subset(mtcars, select=c(mpg, hp))

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table(diamonds$cut)

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table(diamonds$cut, diamonds$color)

R, . R (http://health.adelaide.edu.au/psychology/ccs/docs/lsr/lsr-0.3.pdf) . 500 PDF. , R CookbookR in a Nutshell .

19 IT World

5 | R table()

IDG Deep Dive | , R

R. , 2, . Rmtcars. disp xmpg y.

plot(mtcars$disp, mtcars$mpg)

. , .x y, xlab ylab . , main .

plot(mtcars$disp, mtcars$mpg, xlab=Engine displacement, ylab=mpg,

main=MPG compared with engine displacement)

y90 () , labs=1 .

plot(mtcars$disp, mtcars$mpg, xlab=Engine displacement, ylab=mpg,

main=MPG vs engine displacement, las=1)

las 1? las Label Stype , 4. 0, . 1, 2 2. (Plot) , .

?par

R,R .

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1 | R

p a r t 4

IDG Deep Dive | , R

. .

? , , . R .

ggplot2 ggplot2

. ggplot2 . , . ggplot2, .

install.packages(ggplot2)

. ggplot2 , library()R ggplot2 - R .

library(ggplot2)

ggplot2 . ggplot2 R plot() qplot() . .

qplot(disp, mpg, data=mtcars)

qplotRy. , y0 (y0). y, ylim .

qplot(disp, mpg, ylim=c(0,35), data=mtcars)

1. ,

21 IT World

2 | R

3 | Qplot() ggplot2

IDG Deep Dive | , R

ggplot2 .

qplot(cty, hwy, data=mpg)

geom jitter.

qplot(cty, hwy, data=mpg, geom=jitter)

, ggplot2, . ggplot(). , ggplot2 ggplot2() ggplot(). ggplot()plot()qplot(); .

ggplot(mtcars, aes(x=disp, y=mpg)) + geom_point()

ggplot() mtcars. . , aes()geom_point() ? aes (aesthetics)- , , . geom, , .,

. () ? R

geom_point() geom_line() .

ggplot(pressure, aes(x=temperature, y=pressure)) +

geom_line()

. pressure, , y=pressure pressure . , x y. , .Y ggplot ylim

. mydata, xcol x ycol y

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IDG Deep Dive | , R

. ylim .

ggplot(mydata, aes(x=xcol, y=ycol), ylim=0) + geom_line()

.

ggplot(pressure, aes(x=temperature, y=pressure)) + geom_line() +

geom_point()

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barplot(BOD$demand)

main=Graph of demand.

barplot(BOD$demand, main=Graph of demand)

x, names.arg .

barplot(BOD$demand, main=Graph of demand, names.arg =

BOD$Time)

, . R table() .The R Graphics Cookbookmtcars 4-, 6-, 8-

. cyl, Rmtcars$cly. table()

. clycount.

23 IT World

5 | ggplot

temperature

pressure

IDG Deep Dive | , R

cylcount

IDG Deep Dive | , R

qplot(columnName, data=mydata, binwidth=n)

ggplot().

ggplot(mydata, aes(x=columnName)) + geom_histogram(binwidth=n)

ggplot() . ggplot(), , .

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(Boxplot)boxplot(). mtcars mpg boxplot .

boxplot(mtcars$mpg)

ggplot2x, y, z .

boxplot(diamonds$x, diamonds$y, diamonds$z)

R (Heat Map) , . FlowingData. Corrplot (http://cran.r-project.org/web/packages/corrplot/corrplot.pdf) (http://blog.revolutionanalytics.com/2013/03/rs-garden-of-probability-distributions.html). 6.

. , R

. RRGB , HSV(Hue, Saturation, Value. ,

) . , , , , . R 657. color() colour() - R- . , ,

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IDG Deep Dive | , R

PDF . , .rainbowheatnR .

rainbow(n)

heat.colors(n)

terrain.colors(n)

topo.colors(n)

cm.colors(n)

rainbow 5, .

rainbow(5)

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mycolors

IDG Deep Dive | , R

. R .

barplot(BOD$demand, col=rainbow(6))

(), ,

barplot(BOD$demand, col=royalblue3)

, . R , , .

testscores

IDG Deep Dive | , R

, . .

barplot(testscores, col=testcolors, main=Test scores)

y0100.

barplot(testscores, col=testcolors, main=Test scores, ylim=c(0,100))

90las=1.

barplot(testscores, col=testcolors, main=Test scores, ylim=c(0,100), las=1)

, ., ,

testscores .

testscores

IDG Deep Dive | , R

qplot(factor(cyl), data=mtcars, geom=bar, fill=factor(cyl))

, , R. R (www.harding.edu/fmccown/r/) . The R Graphics Cookbook(www.amazon.com/R-Graphics-Cookbook-Winston-Chang/dp/1449316956) . ggplot2 (http://docs.ggplot2.org/current/geom_bar.html) .

R R . R

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svg() pdf() (Container). .

jpeg(myplot.jpg, width=350, height=420)

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barplot(BOD$demand, col=rainbow(6))

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dev.off()

. ggplot2 ,ggsave() , ggplot2. ggsave() - myplot.jpg JPEG, myplot.pngPNG .

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29 IT World

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12 | R

IDG Deep Dive | , R

R . , . R. (=)

. , x = 3x3. R. . R

IDG Deep Dive | , R

int myArray = {1, 1, 2, 3, 5, 8};

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myArray = [1, 1, 2, 3, 5, 8]

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my_vector

IDG Deep Dive | , R

My_list

IDG Deep Dive | , R

. lapply() tapply() apply() /. , F.W. R (http://nsaunders.wordpress.com/2010/08/20/a-brief-introduction-to-apply-in-r/) ., , .apply R for ,

plyr . --. , ().plyr . plyr

, plyr (http://plyr.had.co.nz). , plyr PDF (www.stat.cmu.edu/~cshalizi/statcomp/11/lectures/14/lecture-14.pdf).

R R?

R , . . ., . R

. . ., R true/false

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1, 5, 7

Bill, Bob, Sue

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33 IT World

IDG Deep Dive | , R

[1]

1. , , . TRUE/FALSE

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dim(my_matrix)

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1 | 1

IDG Deep Dive | , R

. , , () . . , , .

R R , . , R

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(). list(), . , R . ? pwd. gwtwd().rm(my_variable). R grep()

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: R SQL SQLR - , R

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.(R).sqldf, .

35 IT World

IDG Deep Dive | , R

sqldf(select * from mtcars where mpg > 20 order by mpg desc)

mtcarsmpg 20 mpgmpg . R R. SQLR . , . R .

GUI ,

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edit(mtcars)

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save.image() R

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write.table(myData, testfile.txt, sep=\t)

myDataR testfile.txt. sep=\t sep=\c.

IT World 36

2 | edit() R

IDG Deep Dive | , R

. R, , , /, /. Introduction to Data Science(, http://jsresearch.net/wiki/projects/

teachdatascience) : , . ? R , R. , (ROAuth ) , (Map Mashup)R. , . iOS PDF - iOS . .

R Cookbook : (OReilly)Cookbook , R, . . R ,

. (quantitative developer).

R Graphics Cookbook : R, ggplot2. R, , . R.

R in a Nutshell : R - , , - . , R

37 IT World


p a r t 6

IDG Deep Dive | , R

R . .

Visualize This : R, R. . Flowing Data().

R For Dummies : , .(Dummies) , . Dimmies.com R , R R apply 100. .

Exploring Everyday Things with R and Ruby : , . . , ggplot2 R. , R.

Cookbook for R(www.cookbook-r.com) : R Cookbook

, (R Graphics Cookbook ) , . Cookbook . ,?.

Quick-R(www.statmethods.net) : . , (Stats)(Frequencies and Crosstab)table() . (R )(). R in Action(R)I. .

R Reference Card(http://cran.r-project.org/doc/contrib/Short-refcard.pdf) :, (2004) 4

IT World 38

IDG Deep Dive | , R

PDF . EPRI(Electric Power Research Institute: ) .

A short list of R the most useful commands(http://www.personality-project.

org/R/r.commands.html) : , R(Using R for psychological research) .HTML . 2005 ..

Chart Chooser in R(www.maths.lancs.ac.uk/~rowlings/Teaching/UseR2012/

cheatsheet.html) : , , , R . ,, . (Juice LabsChart Choser).

Twotorials(www.twotorials.com) : 2 (Twotorial)

. 2, . R R 2 2 R. R 10, 15, 20,000. , .

Up and Running with R(www.lynda.com/R-tutorials/Up-Running-R/120612-

2.html) : Lynda.com R , , . , . Lynda.com25, 7.

Coursera: Computing for Data Analysis(www.coursera.org/course/compdata)

: . . 2013 9. , ; . , ,

39 IT World

IDG Deep Dive | , R

.

Coursera: Data Analysis : RR. R

, . , .

Coursera: Statistics One(www.coursera.org/course/stats1) : 9 R 12

, . R R . .

Try R(http://tryr.codeschool.com) :

. , , R .

An Introduction to R(http://cran.r-project.org/doc/manuals/R-intro.pdf) : RProject . R . Dl , R Core Team, .

Learning statistics with R(http://health.adelaide.edu.au/psychology/ccs/

docs/lsr/lsr-0.3.pdf) : (PDF). ANOVA(ANalysis Of Variance: , )500. , R.

R Tutorial(www.cyclismo.org/tutorial/R/) : , , p, . .

IT World 40

IDG Deep Dive | , R

r4stats.com(http://r4stats.com) : R R. , ggplotsR . R SAS SPSS .

Getting started with charts in R(http://flowingdata.com/2012/12/17/getting-

started-with-charts-in-r) : FlowingData R(FlowingData , 20135.)

Using R for your basic statistical Needs LISA Short Course(www.lisa.stat.vt.

edu/sites/default/files/Using_R_for_Your_Basic_Statistical_Needs.r) : , RR () . , , . . -2log(Likelihood) +

kp?AIC#step() .k=2 # p = ( ). (Laboratory for Interdisciplinary

StatisticalAanalysis) .

Producing Simple Graphs with R(www.harding.edu/fmccown/r) : 6, . .

Short courses(http://courses.had.co.nz) : Rggplot2R .

Quick introduction to ggplot2(http://blog.echen.me/2012/01/17/quick-

introduction-to-ggplot2/) : , - - R ggplot2 ..

ggplot2_tutorial.R(http://rpubs.com/frank_davenport/6255) : RPubs.com R , R

41 IT World

IDG Deep Dive | , R

ggplot2.

More and Fancier Graphics(http://ww2.coastal.edu/kingw/statistics/R-

tutorials/graphs.html) : 1R R , locator() identify() . B. .

Using R(www.sr.bham.ac.uk/~ajrs/R/index.html) : , . R ,Lattis ggplot2. . ASR(Astrophysics & SpaceResearch) .

The Undergraduate Guide to R(https://sites.google.com/site/undergraduat

eguidetor/manual-files) : , ,, , R . PDF , . NIH.

Introducing R(www.ats.ucla.edu/stat/r/seminars/intro.htm) : UCLA

.

Introducing R(http://data.princeton.edu/R/gettingStarted.html) : .

R: A self-learn tutorial(www.nceas.ucsb.edu/files/scicomp/Dloads/RProgra

mming/BestFirstRTutorial.pdf) : UC PDF. , .

Statistics with R Computing and Graphics R(www.stats.ox.ac.uk/~konis/

OUCS/ComputingGraphics.pdf) : ). PDF, PDF (15) , R() . .

Little Book of R for Time Series (http://a-little-book-of-r-for-time-series.

IT World 42

IDG Deep Dive | , R

readthedocs.org/en/latest) : R . .

Introduction to ggplot2(http://heather.cs.ucdavis.edu/~matloff/GGPlot2/

GGPlot2Intro.pdf) : UC N. 11PDF ggplot.

Statistics and R on Google+(https://plus.google.com/communities/117681470

673972651781) : .

Twitter #rstats hashtag(https://twitter.com/search?q=%23rstats) : , R . , (Reddit) R .

Stackoverflow(http://stackoverflow.com/questions/tagged/r) : R . , . R . , Meetup.com. R .

R

, R. . RSeek(www.rseek.org)R

. R site search(http://finzi.psych.upenn.edu/search.

html)R , () ().

Googles R Style Guide(http://google-styleguide.

googlecode.com/svn/trunk/google-r-style.html) : ?

43 IT World

IDG Deep Dive | , R

; R . , R .

RStudio documentation(www.rstudio.com/ide/docs/) : R, .

History of R Financial Time Series Plotting(http://timelyportfolio.github.io/

rCharts_time_series/history.html) : , , . . .

Comprehensive R Archive Network(CRAN, http://cran.r-project.org) :

. R , FAQ R . .

RStudio(www.rstudio.com) : R RStudioShiny RStudio IDE.

Revolution Analytics(www.revolutionanalytics.com/) : R , R (). 2R .

Tibco(www.tibco.com) : Dl R Tibco EnterpriseRuntime for R Engines Tibco Enterprise Runtime for R DevelopersEdition.

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