Compose.jl output issue - julia
Ok recently I have been experimenting with Julia's compose.jl and have run into a somewhat confusing problem. I will run the standard code to initialize the package.
Pkg.add("Compose")
using Compose
compose(compose(context(), rectangle()), fill("tomato"))
And then run that code. Here is my problem: the code executes fine, it's the output that is strange. The typical output for this code would be a red rectangle. The output I get when this code is run is this:
Context(BoundingBox(Measure{MeasureNil,MeasureNil}(0.0,MeasureNil(),MeasureNil(),0.0,0.0),Measure{MeasureNil,MeasureNil}(0.0,MeasureNil(),MeasureNil(),0.0,0.0),Measure{MeasureNil,MeasureNil}(0.0,MeasureNil(),MeasureNil(),1.0,0.0),Measure{MeasureNil,MeasureNil}(0.0,MeasureNil(),MeasureNil(),0.0,1.0)),UnitBox{Nothing,Nothing,Nothing,Nothing}(nothing,nothing,nothing,nothing,Measure{MeasureNil,MeasureNil}(0.0,MeasureNil(),MeasureNil(),0.0,0.0),Measure{MeasureNil,MeasureNil}(0.0,MeasureNil(),MeasureNil(),0.0,0.0),Measure{MeasureNil,MeasureNil}(0.0,MeasureNil(),MeasureNil(),0.0,0.0),Measure{MeasureNil,MeasureNil}(0.0,MeasureNil(),MeasureNil(),0.0,0.0)),Rotation{Point{Measure{MeasureNil,MeasureNil},Measure{MeasureNil,MeasureNil}}}(0.0,Point{Measure{MeasureNil,MeasureNil},Measure{MeasureNil,MeasureNil}}(Measure{MeasureNil,MeasureNil}(0.0,MeasureNil(),MeasureNil(),0.5,0.0),Measure{MeasureNil,MeasureNil}(0.0,MeasureNil(),MeasureNil(),0.0,0.5))),nothing,ListNode{ComposeNode}(Property{FillPrimitive}([FillPrimitive(AlphaColorValue{RGB{Float64},Float64}(RGB{Float64}(1.0,0.38823529411764707,0.2784313725490196),1.0))]),ListNode{ComposeNode}(Form{RectanglePrimitive{P<:Point{XM<:Measure{S,T},YM<:Measure{S,T}},M1<:Measure{S,T},M2<:Measure{S,T}}}(RectanglePrimitive[RectanglePrimitive{Point{Measure{MeasureNil,MeasureNil},Measure{MeasureNil,MeasureNil}},Measure{MeasureNil,MeasureNil},Measure{MeasureNil,MeasureNil}}(Point{Measure{MeasureNil,MeasureNil},Measure{MeasureNil,MeasureNil}}(Measure{MeasureNil,MeasureNil}(0.0,MeasureNil(),MeasureNil(),0.0,0.0),Measure{MeasureNil,MeasureNil}(0.0,MeasureNil(),MeasureNil(),0.0,0.0)),Measure{MeasureNil,MeasureNil}(0.0,MeasureNil(),MeasureNil(),1.0,0.0),Measure{MeasureNil,MeasureNil}(0.0,MeasureNil(),MeasureNil(),0.0,1.0))]),ListNull{ComposeNode}())),0,false,false,false,false,nothing,nothing,0.0)
a rather lengthy piece of text that doesn't show the shape... I am wondering if this is an error or if I am just doing something wrong. Does anyone know how to make this output what it should be?
One possibility to open an image through REPL would be through TerminalExtensions.jl. But generally I believe you have to write the image to a file and then open it. To save the file use this,
julia>draw(PNG("test.png", 10inch, 10inch), compose(compose(context(), rectangle()), fill("tomato")))
Related
Why can't read_csv use my directory/path?
I am having a problem with my read_csv. I have used this function with no problem but the path/directory I am using is a little different than normal and I can't figure it out by myself.
This is the code I have been using:
X2022_03_08_habit_and_OCD_clinical <- read_csv("Box/OCD: Habit or Learning?/experiment/data/raw/survey-data/2022-03-08_habit-and-OCD_clinical.csv")
I have tired tweaking this by not using the first two arguments with no luck. Has anyone used Box in a path before (Box is in my finder, like desktop would be). I also tried updating r for that first error code but maybe it didn't take, I am not sure how to update again.
Here is the error code I have been receiving:Error Message
I would appreciate any help and I apologize if there is a simple answer I have been missing!
RMarkdown can Knit but cannot run: could not find function "read_csv"
This issue is really strange, I want to read a csv file and after getting rid of all unnecessary parts my entire code boils down to this two-liner:
library(tidyverse)
read_csv('data1.csv')
If I knit the Rmd file, it works and a new webpage opens as usual:
However, if I run it either by (1) clicking the green play button; or (2) clicking Run -> Run All button:
Then it just doesn't work (In case you are wondering whether or not there is a third line of code, I make the scope of the screenshot larger). The code is so short that I have no idea what could possibly be wrong.
Following the comment from #user12728748, I changed
read_csv('data1.csv')
to
readr::read_csv('data1.csv')
and it works! But this is still odd since my understanding is that suppose there aren't namespace conflicts prepending namespace is not needed.
Loading readr explicitly, regardless of the order, does not work since it is loaded by tidyverse already:
Rmarkdownon Kaggle: Can you spot what's going on?
it's been a few days that im trying to run my Rmd on Kaggle, but it simply doesn't work. The main reason (I guess) is that, somehow the console is reading the code as an R code, but im sure that I'm using Rmarkdown. Therefore, the console reads a Text line as a code line, giving me the code error below: Also, i tried to copy and edit other's people markdown, but i keep getting the same error line. You can check my code here: https://www.kaggle.com/badluckmath/kernel4c85aae59c/edit/run/39891200 He's working perfectly on my Rstudio. I'm looking for a huge help here, please!
I've been stuck with this for a week! If i press the buttom to run code, it will simply give me this error message. For that, i still don't know the solution. But since this is a premade Rmarkdown and i knew that it works, i simple used the Save (Commit) options and at the end, it worked.
What exactly does Source on Save mean or do?
Despite numerous searches, I can't seem to find a clear explanation as to what "Source on Save" means in RStudio. I have tried ?source and the explanation there isn't clear, either. As far as I can tell, it seems to run the script when I hit Save, but I don't understand the relevance/significance of it. In simple terms, what exactly does Source on Save do and why would/should I use it?
This is kind of a shortcut to save and execute your code. You type something, save the script and it will be automatically sourced. Very useful for short scripts but very annoying for time consuming longer scripts. So sourcing is basically running each line of your file. EDIT: SO thinking of a scenario where this might be useful... You developing a function which you will later put into a package... So you write this function already in an extra file but execute the function for testing in the command line... Normally, you have to execute the whole function again, when you changed something. While using "Source on Save" the function will be executed and you can use Ctrl + 2 to jump into command line and test the function directly. Since I am working with R, my datasets are much bigger. But I am remembering starting coding in python and vi, I updated my setting in a way to execute the code on save, since these little scripts where done in less then 10 seconds... So maybe it is just not standard to work with small datasets... But I can still recommend it, for development, to use only 10% of a normal dataset. It will speed up the graphics creation and a lot of other things as well. Test it with the complete dataset every now and then.
Sweave syntax highlighting in output
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.