title

Rpackagerrtable

subtitle

ReproducibleResearch with a Table of R codes

author

Keon-WoongMoon

text

Introduction

Ifyou are a data scientist or researcher, you will certainly be interestedin reproducible research. R packagerrtable makes itpossible to make reports with HTML, LaTex, MS word or MS Powerpointformats from a table of R codes.

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PackageInstallation

Youcan install R packagerrtable with the followingcommand.

if(!require(devtools)){install.packages(“devtools”) }devtools::install_github(“cardiomoon/rrtable”)

echo=TRUE,eval=FALSE

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PackageLoading

Youcan load therrtable package with the following Rcommand.

require(rrtable)

echo=TRUE

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SampleData

Sampledata sampleData3 is included in rrtable package. You can see thesampleData3 by following R command.

str(sampleData3)

echo=TRUE,eval=TRUE

Data

Paragraph

Youcan make a paragraph with this data

sampleData3

landscape=TRUE

mytable

mytableobject

Youcan add mytable object with the following R code.

mytable(Dx~.,data=acs)

plot

Plot

Youcan insert a plot into your document.

plot(Sepal.Width~Sepal.Length,data=iris)

ggplot

ggplot

Youcan insert a ggplot into a document

ggplot(iris,aes(x=Sepal.Length,y=Sepal.Width,color=Species))+geom_point()

Rcode

Rcode

Youcan insert the result of R code. For example, you can insert the resultof regression analysis.

fit=lm(mpg~wt*hp,data=mtcars)summary(fit)

2ggplots

Twoggplots

Youcan insert two parallel ggplots with the following code.

ggplot(iris,aes(Sepal.Length,Sepal.Width))+geom_point()ggplot(iris,aes(Sepal.Length,Sepal.Width,colour=Species))+geom_point()+guides(colour=FALSE)

2plots

Twoplots

Youcan insert two parallel plots with the following code.

hist(rnorm(1000))plot(1:10)

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HTMLReport

Youcan get report with HTML format(this file) by following Rcommand.

data2HTML(sampleData3)

echo=TRUE,eval=FALSE

age

64.3± 12.3

62.1± 12.1

63.8± 11.0

0.073

sex

0.012

- Female

50(32.7%)

84(27.6%)

153(38.2%)

- Male

103(67.3%)

220(72.4%)

247(61.8%)

cardiogenicShock

<0.001

- No

149(97.4%)

256(84.2%)

400(100.0%)

- Yes

4( 2.6%)

48(15.8%)

0 ( 0.0%)

entry

0.001

- Femoral

58(37.9%)

133(43.8%)

121(30.2%)

- Radial

95(62.1%)

171(56.2%)

279(69.8%)

EF

55.0± 9.3

52.4± 9.5

59.2± 8.7

<0.001

height

163.3± 8.2

165.1± 8.2

161.7± 9.7

<0.001

weight

64.3± 10.2

65.7± 11.6

64.5± 11.6

0.361

BMI

24.1± 3.2

24.0± 3.3

24.6± 3.4

0.064

obesity

0.186

- No

106(69.3%)

209(68.8%)

252(63.0%)

- Yes

47(30.7%)

95(31.2%)

148(37.0%)

TC

193.7± 53.6

183.2± 43.4

183.5± 48.3

0.057

LDLC

126.1± 44.7

116.7± 39.5

112.9± 40.4

0.004

HDLC

38.9± 11.9

38.5± 11.0

37.8± 10.9

0.501

TG

130.1± 88.5

106.5± 72.0

137.4± 101.6

<0.001

DM

0.209

- No

96(62.7%)

208(68.4%)

249(62.2%)

- Yes

57(37.3%)

96(31.6%)

151(37.8%)

HBP

0.002

- No

62(40.5%)

150(49.3%)

144(36.0%)

- Yes

91(59.5%)

154(50.7%)

256(64.0%)

smoking

<0.001

- Ex-smoker

42(27.5%)

66(21.7%)

96(24.0%)

- Never

50(32.7%)

97(31.9%)

185(46.2%)

- Smoker

61(39.9%)

141(46.4%)

119(29.8%)