) useful.
It is very easy to create the data set you want. You just need to think
in R's somewhat twisted way. Well if twisted my mind for the first 6
weeks that I used it.
Let's say you are doing some analysis. Don't send the data to the
console. Instead save it in a R object (not sure if this is the correct
term--I am sure the purists will correct me.)
I am going to create a data.frame called dat1 (pretend it is your data).
#create make-believe data
dat1 <- data.frame(matrix( rnorm(100), ncol = 5))
#Save dat1 as an R file. Handy for your work not great as a way
#to pass around data unless the client knows R and has R installed
save( dat1, file = "~/Rjunk/ mydata.RData")
#Save as a .csv file. Fast easy and can be opened in any
#text editor, spreadsheet or even a word processor.
write.csv(dat1, file = "~/Rjunk/ mydata.csv")
To produce a Latex file and get a pdf.
One starts with a .Rnw (i.e. plain text with a .Rnw suffix) file and
then compiles it.
I used the command Rscript -e "library(knitr); knit('./Shiv1.Rnw')"
where Shiv.Rnw was my LaTeX / knitr file. It is easier and faster to use
RStudio for this.
You will probably need to install the xtable package and depending in
your LaTeX version you may need to install booktabs.
########Start Latex file###################
\documentclass[12pt,letterpaper]{article}
\usepackage[utf8]{inputenc}
\usepackage{booktabs}
\title{Magnum Opus Meum}
\author{jrkrideau }
\begin{document}
\maketitle
<<atable, echo=FALSE, results="asis">>=
library(xtable)
dat1 <- data.frame(matrix( rnorm(100), ncol = 5))
dat1.table <- xtable(dat1)
print(dat1.table,
include.rownames=FALSE,
booktabs = TRUE)
@
\end{document}
########End Latex file####################
John Kane
Kingston ON Canada
-----Original Message-----
From: shivibhatia at ymail.com
Sent: Fri, 21 Aug 2015 12:26:50 -0700 (PDT)
To: r-help at r-project.org
Subject: Re: [R] Output In R
Thanks Jeff, this is helpful.
The reason i am curious to know this is because I have worked for a long
duration in SAS where in it gives us the flexibility to create a data
set
of
our analysis and then we can easily detail out the same to the end user.
In R seems like View or Sweave or Shiny are the alternative.
--
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