Take the demo presentation at:
https://pkg.garrickadenbuie.com/xaringanExtra/scribble/#1
and draw some scribbles like the following:
After you print that from Chrome, you get the following PDF:
Is there some workaround? Thanks!
(There is issue open, but with no answer.)
I found an answer. But it requires a little manual work.
So, step-by-step.
Open our Xaringan presentation in the Opera... Why not Mozilla - I don't know how to do step 3 there :)
Draw what we want at the pages.
Save our presentation page-by-page via "Page -> Save as PDF..."
When all pages are saved in our working directory, we can combine them in the one file with pdftk (install, if you haven't). As we are R-users now, do it by this way:
system("pdftk Page1.pdf Page2.pdf Page3.pdf cat output XarPres.pdf")
Result:
Related
In R I always like to print out the script since it gives a good overview and one can adjust eventual errors. I like the syntax highlighting in R-Studio because it facilitates reading and fast comprehension of code.
Is there a way to print out the text with the highlighting I see in the editor?
Its not an R-Studio solution, but notepad++ will print R source with syntax highlighting.
RStudio will not print in colour, but it's easy to save the code as a PDF; in this case the syntax format is preserved. My favourite package is knitr.
library(knitr)
stitch("file_name.R")
The default output is PDF/Markup in .tex. If you prefer not to typeset, running the below will export as .html
stitch(script="file_name.R", system.file("misc", "knitr-template.Rhtml", package="knitr"))
Brief explanation
The reason this is an answer to this question in because of the last line of the question:
Is there a way to print out the text with the highlighting I see in
the editor?
so we are not limited to only and only using Rstudio software here.
After exploring the awesome answer by #rrg and realizing that it runs the code line by line, I wrote a comment below his answer and continued googling. My problem is that the code I wrote is so large and so time consuming to run that running it for the sake of having a syntax highlighted version is not feasible.
Most of the solution out there online involves having notepad++ which is a Windows application and I'm a dedicated Linux user, so I searched for a way I can do this in Linux (and possibly Mac)
The way I solved it:
Inspired by a blog post, I used the famous and beloved Vim to convert R to syntax highlighted HTML and then because you can open HTML in your browser, you can what ever you want with it (print, screenshot, etc.)
Activate synax highlighting in Vim:
open terminal
then open the vim config file by typing vim ~/.vimrc
press i from keyboard to go to "insert mode"
go to the end of the file using arrow keys on your keyboard
type syntax on at the end of the file
now you need to save and exit. For this you need to press Esc button from keyboard to come out of "insert mode" and then type :x and press Enter to save and close the file.
if you want to change the color scheme of the syntax highlighting, visit the bottom part of this website
From terminal open your file with Vim:
vim YOUR_FILE_PATH
Having you R code open in vim, you can turn on the line numbers if you like by pressing Esc and then write :set number and press Enter.
For converting R to HTML, press Esc to make sure you are not in "insert mode" and then type :TOhtml and press Enter. This will result is having a split window in terminal, half is your R code and the other half id your new HTML code.
For saving the files, type :x along with Enter button from keyboard twice to save both files (your R file will be unchanged if you have not typed anything extra in it and your HTML file will be created with the same name near your R code)
Now open it with your favorite browser (in my case Vivaldi) and do what ever you want (in my case converting the whole HTML into PNG)
Best way:
download https://github.com/jaredpetersen/codeprinter and paste in the r code. then choose syntax highlighting Xcode
For those using a Mac (and thus without access to Notepad++) cutting and pasting into Xcode and printing from there will also work.
As with Ron Jensen's earlier comment, this isn't an R Studio solution, but in the interests of "just getting it to work", I hope this helps someone.
I really like RStudio's code sections because they help me keep my code organized and makes navigation very easy. So, the code/comment line for code sections look like this (the key for RStudio to recognize the code section is that the comment should end with four or more #, - or =).
# Section One ---------------------------------
# Section Two =================================
### Section Three #############################
Now, I also find very useful "Compiling Notebooks from R Scripts" because you can produce reports directly from your script (which I find much more comfortable working with) without having to write an RMarkdown document. You simply have to use roxygen2-style comments (using #' as prefix) and they will be converted to markdown and/or use #+ or #- prefixes to control RMarkdown chunk options.
Now, I want the best of both worlds but I cannot find a way to get it. I want to have code sections (recognizable for RStudio) in the report (with the proper markdown for headings #, but without the extra #### at the end of the line). Seems like an impossible task to me. If I use #' prefix, I get the section in the report but RStudio does not recognize it as a code section. If I do not use roxygen2-style comments, RStudio recognizes the code section but it does not appear in the report (ok, it appears but as an ugly comment in the formatted code). The best solution I have found so far is to use the #+ prefix and simulate a code chunk label. That way I can get RStudio to recognize it as a code section, and it does not appear in the report as an ugly comment.
Any ideas on how to do this better?
I need to embed gvisMotionChart into an R markdown file and find an example interactive which is really helpful. However when it comes to the googlevis plotting I keep getting this error when I press the "run code" button:
connection to openCPU failed:
error
undefined
NetworkError: A network error occurred
Can anybody figure out the solutions?
Thanks in advance.
The googleVis package creates the javascript that has to be embedded into an HTML document in order for the interactive plot to run on a webpage. You won't be able to get it to work in the console or in Rstudio for that reason. The only way to know for sure if it's working is to knit it to HTML, and then publish it to Rpubs (or anywhere else online). Once it is online it will work. Depending on your browser settings, you might be able to get it to work by opening the HTML locally, but the browser often blocks the embedded plot when opened locally.
Without seeing your actual code, I can't provide you with anything more specific than that.
EDIT: I thought I would add that several months ago I made a markdown file detailing interactive plots in R for a class. You can find it here: http://rpubs.com/crmhaske/uwloo670_Interactive_Plots
If you scroll down to the very end you'll see the example I did using gvisMotionChart. You have to make sure the place where you print the graph is in it's own chunk, and that results is asis:
```{r results='asis'}
print(p,'chart')
```
As I am using Mathematica a lot I got the idea to write a small and free CAS which just exposes a very small subset of necessary functions and packages to be used and I want to present the results in an appropriate way to the user like Mathematica does (ignore the Facebook logo in the background :D ):
My first idea was to create LaTeX code in the background and to pdflatex the source and include the PDF then in the view... however this seems way to much overkill! I want to write this CAS either in C++ or C# and I want to know if there are any recommended solutions to output nice formula like that.
My first thought was a "real-time formula editing view" but it would be ok to have an input box to enter the commands and formulas and the upper view just to be uneditable output.
A few ways come to my mind.
Use LaTeX behind the scenes to typeset equations, as you say. Again, Cadabra does this.
Use TeXmacs as the front end. Cadabra does this.
Use MathJax. This is a javascript framework which renders TeX equations to images or MathML. It's very easy to use it if you have a HTML view in your UI toolkit. MathJax is used in the sister site MathOverflow, for example.
I find the route 3 is the most attractive.
For calling LaTeX in the background, don't use pdflatex, but use the non-PDF latex to produce a DVI file, and convert it then to PNG with dvipng.
Have a look at the preview package or the standalone class to get the output in the right size (i.e. only the formula, not a whole page).
Has anyone managed to get color syntax-highlighting working in the output of Sweave documents? I've been able to customize the output style by adding boxes, etc. in the Sweave.sty file as follows:
\DefineVerbatimEnvironment{Sinput}{Verbatim}{fontseries=bc,frame=single}
\DefineVerbatimEnvironment{Soutput}{Verbatim}{frame=leftline}
\DefineVerbatimEnvironment{Scode}{Verbatim}{fontseries=bc}
And I can get the minted package to do syntax highlighting of verbatim-code blocks in my document like so:
\begin{minted}{perl}
use Foo::Bar;
...
\end{minted}
but I'm not sure how to combine the two for R input sections. I tried the following:
\DefineVerbatimEnvironment{Sinput}{minted}{r}
\DefineVerbatimEnvironment{Scode}{minted}{r}
Any suggestions?
Yes, look at some of the vignettes for Rcpp as for example (to pick just one) the Rcpp-FAQ pdf.
We use the highlight by Romain which itself can farm out to the hightlight binary by Andre Simon. It makes everything a little more involved---Makefiles for the vignettes etc pp---but we get colourful output from R and C/C++ code. Which makes it worth it.
I have a solution that has worked for me, I have not tried it on any other systems though so things may not work out of the box for you. I've posted some code at https://gist.github.com/797478 that is a set of modified Rweave driver functions that make use of minted blocks instead of verbatim blocks.
To use this driver just specify it when calling the Sweave function with the driver=RweaveLatexMinted() option.
Here's how I've ended up solving it, starting from #daroczig's suggestion.
\usepackage{minted}
\renewenvironment{Sinput}{\minted[frame=single]{r}}{\endminted}
\DefineVerbatimEnvironment{Soutput}{Verbatim}{frame=leftline}
\DefineVerbatimEnvironment{Scode}{Verbatim}{}
While I was at it, I needed to get caching working because I'm using large data sets and one chunk was taking around 3 minutes to complete. So I wrote this zsh shell function to process an .Rnw file with caching:
function sweaveCache() {
Rscript -e "library(cacheSweave); setCacheDir(getwd()); Sweave('$1.Rnw', driver = cacheSweaveDriver)" &&
pdflatex --shell-escape $1.tex &&
open $1.pdf
}
Now I just do sweaveCache myFile and I get the result opened in Preview (on OS X).
This topic on tex.StackExchange might be interesting for you, as it suggest loading the SweaveListingUtils package in R for easy solution.