rrtablerequire(moonBook)
require(ztable)
require(rrtable)
require(ggplot2)
options(ztable.type='HTML')If you are a data scientist or researcher, you will certainly be
interested in reproducible research. R package rrtable
makes it possible to make reports with HTML, LaTex, MS word or MS
Powerpoint formats from a table of R codes.
You can install R package rrtable with the following
command.
if(!require(devtools)){ install.packages("devtools") }
devtools::install_github("cardiomoon/rrtable") You can load the rrtable package with the following R
command.
require(rrtable) Sample data sampleData3 is included in rrtable package. You can see the sampleData3 by following R command.
str(sampleData3) 'data.frame':   24 obs. of  5 variables:
 $ type  : chr  "title" "subtitle" "author" "text" ...
 $ title : chr  "" "" "" "Introduction" ...
 $ text  : chr  "R package `rrtable`" "Reproducible Research with a Table of R codes" "Keon-Woong Moon" "If you are a data scientist or researcher, you will certainly be interested in reproducible research. R package"| __truncated__ ...
 $ code  : chr  "" "" "" "" ...
 $ option: chr  "" "" "" "" ...
You can make a paragraph with this data
df2flextable2( sampleData3 ,vanilla= FALSE )type  | title  | text  | code  | option  | 
title  | R package `rrtable`  | |||
subtitle  | Reproducible Research with a Table of R codes  | |||
author  | Keon-Woong Moon  | |||
text  | Introduction  | If you are a data scientist or researcher, you will certainly be interested in reproducible research. R package `rrtable` makes it possible to make reports with HTML, LaTex, MS word or MS Powerpoint formats from a table of R codes.  | ||
header2  | Package Installation  | You can install R package `rrtable` with the following command.  | if(!require(devtools)){ install.packages("devtools") }  | echo=TRUE, eval=FALSE  | 
header2  | Package Loading  | You can load the `rrtable` package with the following R command.  | require(rrtable)  | echo=TRUE  | 
header2  | Sample Data  | Sample data sampleData3 is included in rrtable package. You can see the sampleData3 by folllowing R command.  | str(sampleData3)  | echo=TRUE, eval=TRUE  | 
Data  | Paragraph  | You can make a paragraph with this data  | sampleData3  | landscape=TRUE  | 
mytable  | mytable object  | You can add mytable object with the following R code.  | mytable(Dx~.,data=acs)  | |
plot  | Plot  | You can insert a plot into your document.  | plot(Sepal.Width~Sepal.Length,data=iris)  | |
ggplot  | ggplot  | You can insert a ggplot into a document  | ggplot(iris,aes(x=Sepal.Length,y=Sepal.Width,color=Species))+ geom_point()  | |
Rcode  | R code  | You can insert the result of R code. For example, you can insert the result of regression analysis.  | fit=lm(mpg~wt*hp,data=mtcars)  | |
2ggplots  | Two ggplots  | You can insert two parallel ggplots with the following code.  | ggplot(iris,aes(Sepal.Length,Sepal.Width))+geom_point()  | |
2plots  | Two plots  | You can insert two parallel plots with the following code.  | hist(rnorm(1000))  | |
header2  | HTML Report  | You can get report with HTML format(this file) by following R command.  | data2HTML(sampleData3)  | echo=TRUE, eval=FALSE  | 
header2  | MS word document  | You can get a report with MS word format.  | data2docx(sampleData3)  | echo=TRUE,eval=FALSE  | 
You can download sample data: [sampleData3.docx](https://github.com/cardiomoon/rrtable/raw/master/inst/doc/sampleData3.docx) - view with [office web viewer](https://view.officeapps.live.com/op/view.aspx?src=https://github.com/cardiomoon/rrtable/raw/master/inst/doc/sampleData3.docx)  | data2docx(sampleData2)  | echo=TRUE,eval=FALSE  | ||
You can download sample data: [sampleData2.docx](https://github.com/cardiomoon/rrtable/raw/master/inst/doc/sampleData2.docx) - view with [office web viewer](https://view.officeapps.live.com/op/view.aspx?src=https://github.com/cardiomoon/rrtable/raw/master/inst/doc/sampleData2.docx)  | ||||
header2  | MS powerpoint document  | You can get a report with MS word format.  | data2pptx(sampleData3)  | echo=TRUE,eval=FALSE  | 
You can download sample data: [sampleData3.pptx](https://github.com/cardiomoon/rrtable/raw/master/inst/doc/sampleData3.pptx) - view with [office web viewer](https://view.officeapps.live.com/op/view.aspx?src=https://github.com/cardiomoon/rrtable/raw/master/inst/doc/sampleData3.pptx)  | data2pptx(sampleData2)  | echo=TRUE,eval=FALSE  | ||
You can download sample data: [sampleData2.pptx](https://github.com/cardiomoon/rrtable/raw/master/inst/doc/sampleData2.pptx) - view with [office web viewer](https://view.officeapps.live.com/op/view.aspx?src=https://github.com/cardiomoon/rrtable/raw/master/inst/doc/sampleData2.pptx)  | ||||
header2  | pdf document  | You can get a report with pdf format.  | data2pdf(sampleData3)  | echo=TRUE,eval=FALSE  | 
You can download sample data: [sampleData3.pdf](https://github.com/cardiomoon/rrtable/raw/master/inst/doc/sampleData3.pdf)  | data2pdf(sampleData2)  | echo=TRUE,eval=FALSE  | ||
You can download sample data: [sampleData2.pdf](https://github.com/cardiomoon/rrtable/raw/master/inst/doc/sampleData2.pdf)  | 
You can add mytable object with the following R code.
mytable2flextable( mytable(Dx~.,data=acs) ,vanilla= FALSE )Dx  | NSTEMI  | STEMI  | Unstable.Angina  | p  | 
(N=153)  | (N=304)  | (N=400)  | ||
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%)  | |
You can insert a plot into your document.
plot(Sepal.Width~Sepal.Length,data=iris) You can insert a ggplot into a document
ggplot(iris,aes(x=Sepal.Length,y=Sepal.Width,color=Species))+ geom_point() You can insert the result of R code. For example, you can insert the result of regression analysis.
fit=lm(mpg~wt*hp,data=mtcars)
summary(fit) 
Call:
lm(formula = mpg ~ wt * hp, data = mtcars)
Residuals:
    Min      1Q  Median      3Q     Max 
-3.0632 -1.6491 -0.7362  1.4211  4.5513 
Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) 49.80842    3.60516  13.816 5.01e-14 ***
wt          -8.21662    1.26971  -6.471 5.20e-07 ***
hp          -0.12010    0.02470  -4.863 4.04e-05 ***
wt:hp        0.02785    0.00742   3.753 0.000811 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 2.153 on 28 degrees of freedom
Multiple R-squared:  0.8848,    Adjusted R-squared:  0.8724 
F-statistic: 71.66 on 3 and 28 DF,  p-value: 2.981e-13
You can 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) You can insert two parallel plots with the following code.
hist(rnorm(1000))
plot(1:10) You can get report with HTML format(this file) by following R command.
data2HTML(sampleData3) You can get a report with MS word format.
data2docx(sampleData3) You can download sample data: sampleData3.docx - view with office web viewer
data2docx(sampleData2) You can download sample data: sampleData2.docx - view with office web viewer
You can get a report with MS word format.
data2pptx(sampleData3)  You can download sample data: sampleData3.pptx - view with office web viewer
data2pptx(sampleData2) You can download sample data: sampleData2.pptx - view with office web viewer
You can get a report with pdf format.
data2pdf(sampleData3) You can download sample data: sampleData3.pdf
data2pdf(sampleData2)  You can download sample data: sampleData2.pdf