I am getting quite desperate with this, having searched the internet for several days no one seems to have ever tried to draw a graph using xamarin.mac, which i find very hard to believe ! I cannot install core plot, oxy plot etc, because of a bug with the installer, trying to install either gives:
"Could not install package 'xamstore-coreplot 1.4.0'. You are trying to install this package into a project that targets 'Xamarin.Mac,Version=v2.0', but the package does not contain any assembly references or content files that are compatible with that framework."
or equivalent.
Can someone please either help me fix the above error, or help me draw a graph in xamarin.mac using core graphics or something ? I really only want to plot a line graph from a set of points, i didn't think it would be that hard !
Thanks in advance !
That error is stating the fact that there is no mobile (Xamarin.Mac, Version=v2.0) build of the library. If there is a "desktop", but you might be able to swap the target framework of your project.
Related
I'm trying to work with this tutorial. I'm confused because in the very first line there is this code
xap.require('oro.dicom','oro.nifti')
but I cannot find any function called xap.require online or with ??. It seems like this is related to software developement. Does anyone have idea what this is for?
It would appear this is a peculiarity of ANALYTIXAGILITY. My guess is that they have their own package for integrating the R console into their platform.
I am new to the OpenMDAO framework and currently using the 1.5.0 version. I'm interested in generating a Pareto front for Zitzler–Deb–Thiele's functions using the same.
I found a solution for the legacy version here which uses 'pareto_filter' but was unable to locate the same in the new version.
So, how do I set up a multi-objective problem to generate pareto front in 1.x version?
Thanks to all.
You should be able to us NSGA2 from pyopt-sparse directly in OpenMDAO. You just install the pyopt-sparse package and OpenMDAO has a driver already built in that will let you use it. Then you pick NSGA2 as your optimizer.
The only issue is that, if you look at the source, that driver is currently labeled as single-objective. So you should change that line to True, so that you can specify multiple objectives.
We haven't tested NSGA2 via the pyopt-sparse. So it might take a little bit of hacking around to get it to work. If you'd prefer to us the regular pyopt package, you should be able to start with our current pyopt-sparse wrapper and make some small changes to get it to work.
I compiled Julia 0.1 from the source code on my Ubuntu 12.04. It is my first time try with Julia actually.
The compilation got through to the end with no problem but some warnings.
When I try to execute the plot command , here comes the problem,
julia> plot(x->sin(x^2)/x, -2pi,2pi)
ERROR: plot not defined
Did the compilation go wrong somewhere or Do I have to install extra package to plot in Julia?
Thanks
The web-based graphics are outdated and unmaintained (though there's work in progress to get the next generation of web graphics working). Plotting alternatives include the Winston or Gadfly packages at https://github.com/nolta/Winston.jl and https://github.com/dcjones/Gadfly.jl which you can install simply using the Pkg.add("Winston") (or Pkg.add("Gadfly") commands). For documentation and usage examples please refer to the linked repositories.
For MATLAB-style plotting under Julia, type once
Pkg.add("PyPlot")
to install the PyPlot package, which gives you access to Python's matplotlib library. Then try e.g.
using PyPlot
x = -2pi:0.1:2pi;
plot(x, sin(x.^2)./x);
OK I found the solution myself,
Julia uses a web REPL to provide some basic graphics capabilities. Just have to follow the steps here:
https://github.com/JuliaLang/julia#web-repl
Julian Schrittwieser also has a library based on MathGL:
http://www.furidamu.org/blog/2012/02/26/plotting-with-julia/
I am not sure whether it is still under maintenance by the author.
As of right now (a few years passed since the question was asked so the ecosystem has matured), the package I would suggest for easy quick plots would be Gadfly, with some use of PyPlot for publication quality graphs that require a lot of control.
To install, just type
Pkg.add("Gadfly")
in a Julia command line, and to use, type:
using Gadfly
plot([sin, cos], 0, 25)
PyPlot is still the preferred plotting option for when you want a lot of control over your graphs, but it is a wrapper for a Python library and is slightly less user-friendly. It also requires a working python install on your system.
Does anybody know where I can download the R package "cart" that can help create Gastner's
"Mapping with Diffusion-based Cartograms" ? I tried a install.package on R and says it's not available
for R 2.15. There is a page on R-forge about it but it doesn't explain how to download the package.
Thanks.
Way late to the game, but from what I can tell there's not much happening for the cart package; my recent efforts with cartogramming in R have pushed me towards two alternatives: Rcartogram within R (available from the GitHub repository) and ScapeToad, a program written in JS.
Advantage of the former is that you don't have to leave R (better for long-term project management), however it's a bit arcane to use (requires converting your shapefile to a density grid & then figuring out how to use an interpolation method, etc.).
Advantage of the latter is that it's got a very simple point-and-click GUI--add shapefile, create cartogram wizard, export shapefile, voila.
Both are based on the Gastner-Newman diffusion-based algorithm.
If you check the build page you'll see that at the moment the package fails to build. I thought it might be something minor but I've put in a little bit of work so far and it's still failing to build on my machine.
You might want to email the authors and ask them. You could also try their forum but it looks like it hasn't seen much activity lately.
As question, I have satisfied with what R and ggplot2 can do for static graph, but what about interactive graphs? How combine R and Protovis to make the graphs?
There is somethings called rwebvis but seems it is no longer active.
Any suggestion? Thanks.
Well, first you need a web server. Ooh, R has one of those now. Then you need some way of generating output on the web from R code - ooh, R has one of those too:
http://jeffreybreen.wordpress.com/2011/04/25/4-lines-of-r-to-get-you-started-using-the-rook-web-server-interface/
So you can then write R server pages that return JSON-encoded data that you can feed to Protovis - or if you want to get right up to date, to D3, which is Protovis++ and made of win.
Iplots is a fairly useful package that allows interactive graphing ( by this I mean selection linking between graphs, color linking, etc). It has some limitations and is not really made for producing plots as much as exploring data trends.
Acinonyx also was recently updated which is supposed to be an updated version of iplots, but from what I can tell it still has some work to do.
Not familiar with protovis or rwebvis.
There is a package from google called googlevis that enables some interactivity. This produces plots that are embeddable online. If you like protovis, the same author has another library called D3.
For running R on a webserver, I have been experimenting with RApache, which enables you to link your R installation to an apache server.
If the interactivity does not to be online, RStudio have a package called manipulate which may also be of interest.