{"Package":"rrtable","Type":"Package","Title":"Reproducible Research with a Table of R Codes","Version":"0.1.0","Imports":"stringr, ggplot2 (>= 2.2.0), officer (>= 0.3.0), purrr (>=\n0.2.4), flextable (>= 0.4.4), rvg, magrittr, devEMF, moonBook\n(>= 0.1.8), rmarkdown, shiny, editData, readr (>= 1.1.1),\nztable (>= 0.1.8)","Authors@R":"person(\"Keon-Woong\", \"Moon\", email = \"cardiomoon@gmail.com\",\nrole = c(\"aut\", \"cre\"))","Description":"Makes documents containing plots and tables from a table of R codes.\nCan make \"HTML\", \"pdf('LaTex')\", \"docx('MS Word')\" and \"pptx('MS powerpoint')\" documents with or without R code.\nIn the package, modularized 'shiny' app codes are provided. These modules are intended for reuse across applications.","Depends":"R(>= 2.10)","License":"GPL-3","Encoding":"UTF-8","LazyData":"true","RoxygenNote":"6.0.1","VignetteBuilder":"knitr","Suggests":"knitr","NeedsCompilation":"no","Packaged":"2018-07-22 23:19:44 UTC; cardiomoon","Author":"Keon-Woong Moon [aut, cre]","Maintainer":"Keon-Woong Moon ","Repository":"CRAN","Date/Publication":"2018-07-27 22:20:03 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/rrtable_0.1.0.tar.gz","jsonAuthors":[{"name":"Keon-Woong Moon","email":"cardiomoon@gmail.com","maintainer":true}],"readme":"---\ntitle: ' R package `rrtable` '\nsubtitle: ' Reproducible Research with a Table of R codes '\nauthor: ' Keon-Woong Moon '\ndate: \"2018-04-15\"\noutput:\n html_document:\n keep_md: true\n---\n\n\n\n\n```r\nrequire(moonBook)\nrequire(ztable)\nrequire(rrtable)\nrequire(ggplot2)\n```\n\n### Introduction \n\nIf 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. \n\n \n\n\n### Package Installation \n\nYou can install R package `rrtable` with the following command. \n\n\n```r\nif(!require(devtools)){ install.packages(\"devtools\") }\ndevtools::install_github(\"cardiomoon/rrtable\") \n```\n\n\n\n### Package Loading \n\nYou can load the `rrtable` package with the following R command. \n\n\n```r\nrequire(rrtable) \n```\n\n\n\n### Sample Data \n\nSample data sampleData3 is included in rrtable package. You can see the sampleData3 by folllowing R command. \n\n\n```r\nstr(sampleData3) \n```\n\n```\n'data.frame':\t15 obs. of 5 variables:\n $ type : chr \"title\" \"subtitle\" \"author\" \"text\" ...\n $ title : chr \"\" \"\" \"\" \"Introduction\" ...\n $ 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__ ...\n $ code : chr \"\" \"\" \"\" \"\" ...\n $ option: chr \"\" \"\" \"\" \"\" ...\n```\n\n\n\n### Paragraph \n\nYou can make a paragraph with this data \n\n\n```r\ndf2flextable2( sampleData3 ,vanilla= FALSE )\n```\n\n

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\") }\ndevtools::install_github(\"cardiomoon/rrtable\")	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)\nsummary(fit)
2ggplots	Two ggplots	You can insert two parallel ggplots with the following code.	ggplot(iris,aes(Sepal.Length,Sepal.Width))+geom_point()\nggplot(iris,aes(Sepal.Length,Sepal.Width,colour=Species))+ geom_point()+guides(colour=FALSE)
2plots	Two plots	You can insert two parallel plots with the following code.	hist(rnorm(1000))\nplot(1:10)
header2	HTML Report	You can get report with HTML format(this file) by following R command.	data2HTML(sampleData3)	echo=TRUE, eval=FALSE

\n\n\n\n### mytable object \n\nYou can add mytable object with the following R code. \n\n\n```r\nmytable2flextable( mytable(Dx~.,data=acs) ,vanilla= FALSE )\n```\n\n

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%)

\n\n\n\n### Plot \n\nYou can insert a plot into your document. \n\n\n```r\nhist(rnorm(1000))\n```\n\n

\n\n\n\n### ggplot \n\nYou can insert a ggplot into a document \n\n\n```r\nggplot(iris,aes(x=Sepal.Length,y=Sepal.Width,color=Species))+ geom_point() \n```\n\n

\n\n\n\n### R code \n\nYou can insert the result of R code. For example, you can insert the result of regression analysis. \n\n\n```r\nfit=lm(mpg~wt*hp,data=mtcars)\nsummary(fit) \n```\n\n```\n\nCall:\nlm(formula = mpg ~ wt * hp, data = mtcars)\n\nResiduals:\n Min 1Q Median 3Q Max \n-3.0632 -1.6491 -0.7362 1.4211 4.5513 \n\nCoefficients:\n Estimate Std. Error t value Pr(>|t|) \n(Intercept) 49.80842 3.60516 13.816 5.01e-14 ***\nwt -8.21662 1.26971 -6.471 5.20e-07 ***\nhp -0.12010 0.02470 -4.863 4.04e-05 ***\nwt:hp 0.02785 0.00742 3.753 0.000811 ***\n---\nSignif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 2.153 on 28 degrees of freedom\nMultiple R-squared: 0.8848,\tAdjusted R-squared: 0.8724 \nF-statistic: 71.66 on 3 and 28 DF, p-value: 2.981e-13\n```\n\n\n\n### Two ggplots \n\nYou can insert two parallel ggplots with the following code. \n\n\n```r\nggplot(iris,aes(Sepal.Length,Sepal.Width))+geom_point()\nggplot(iris,aes(Sepal.Length,Sepal.Width,colour=Species))+ geom_point()+guides(colour=FALSE) \n```\n\n

\n\n\n\n### Two plots \n\nYou can insert two parallel plots with the following code. \n\n\n```r\nhist(rnorm(1000))\nplot(1:10) \n```\n\n

\n\n\n\n### HTML Report \n\nYou can get report with HTML format(this file) by following R command. \n\n\n```r\ndata2HTML(sampleData3) \n```\n\n\n### MS word document\n\nYou can get a report with MS word format. \n\n\n\n```r\ndata2docx(sampleData3) \n```\n\nYou 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)\n\n\n\n```r\ndata2docx(sampleData2) \n```\n\nYou 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)\n\n\n\n### MS powerpoint document\n\nYou can get a report with MS word format. \n\n\n\n```r\ndata2pptx(sampleData3) \n```\n\nYou 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)\n\n\n\n```r\ndata2pptx(sampleData2) \n```\n\nYou 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)\n\n\n### pdf document\n\nYou can get a report with pdf format. \n\n\n```r\ndata2pdf(sampleData3) \n```\n\nYou can download sample data: [sampleData3.pdf](https://github.com/cardiomoon/rrtable/raw/master/inst/doc/sampleData3.pdf) \n\n\n```r\ndata2pdf(sampleData2) \n```\n\nYou can download sample data: [sampleData2.pdf](https://github.com/cardiomoon/rrtable/raw/master/inst/doc/sampleData2.pdf) \n","jobInfo":{"package":"rrtable","version":"0.1.0","parsingStatus":"success","parserVersion":1,"parsedAt":"2018-07-27T23:30:17+0000"}}

Description

Usage

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