R package rrtable

Reproducible Research with a Table of R codes

Keon-Woong Moon

2022-04-05

require(moonBook)
require(ztable)
require(rrtable)
require(ggplot2)
options(ztable.type='HTML')

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.

Package Installation

You can install R package rrtable with the following command.

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

Package Loading

You can load the rrtable package with the following R command.

require(rrtable)

Sample Data

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  "" "" "" "" ...

Paragraph

You can make a paragraph with this data

df2flextable2( sampleData3 ,vanilla= FALSE )

mytable object

You can add mytable object with the following R code.

mytable2flextable( mytable(Dx~.,data=acs) ,vanilla= FALSE )

Plot

You can insert a plot into your document.

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

ggplot

You can insert a ggplot into a document

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

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)
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

Two ggplots

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)

Two plots

You can insert two parallel plots with the following code.

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

HTML Report

You can get report with HTML format(this file) by following R command.

data2HTML(sampleData3)

MS word document

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

MS Powerpoint document

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

pdf document

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