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There is somethings called rwebvis but seems it is no longer active.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.
Related
I am preparing a presentation on data analysis and I am provided with a 2-3 monitor and projector head-up. I would like to use one monitor(+projector) for code, one monitor(+projector) for console display and one monitor(+projector) for plots. Monitors are for me, projectors for the audience.
I would also like to run the code line-by-line (similar to the Ctr-Enter feature of RStudio); copy pasting code won't work. I want to use interactive graphics, analysis and plotting on-the-fly so any pre-done analysis won't work.
Is there any way to achieve this? Although Rstudio is a fantastic tool, a rather basic (and one might say easy) feature like panel detachment is not being developed although frequently requested. This would be probably the best solution to what I want.
UPDATE: Any OS (Win, Mac, Linux) will do.
You should be able to use the vanilla R GUI. Within that you have separate panels/windows for code, console, and plots (with as many plot windows as you want by calling a new device like quartz()). You can evaluate a line of code from the script using Cmd-Enter(mac) and Cntr-Enter (pc) plus the default settings highlight the line of interest. You could also use emacs in the same way, which I find much more powerful and fun.
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.
I frequently find myself doing some analysis in R and then wanting to make a quick map. The standard plot() function does a reasonable job of quick, but I quickly find that I need to go to ggplot2 when I want to make something that looks nice or has more complex symbology requirements. Ggplot2 is great, but is sometimes cumbersome to convert a SpatialPolygonsDataFrame into the format required by Ggplot2. Ggplot2 can also be a tad slow when dealing with large maps that require specific projections.
It seems like I should be able to use Mapnik to plot spatial objects directly from R, but after exhausting my Google-fu, I cannot find any evidence of bindings. Rather than assume that such a thing doesn't exist, I thought I'd check here to see if anyone knows of an R - Mapnik binding.
The Mapnik FAQ explicitly mentions Python bindings -- as does the wiki -- with no mention of R, so I think you are correct that no (Mapnik-sponsored, at least) R bindings currently exist for Mapnik.
You might get a more satisfying (or at least more detailed) answer by asking on the Mapnik users list. They will know for certain if any projects exist to make R bindings for Mapnik, and if not, your interest may incite someone to investigate the possibility of generating bindings for R.
I would write the SpatialWotsitDataFrames to Shapefiles and then launch a Python Mapnik script. You could even use R to generate the Python script (package 'brew' is handy for making files from templates and inserting values form R).
I'm helping my friend make a website. He previously used R language to generate statistical charts. Now he want to generate some dynamic chart so that when users move mouse over certain part of the chart there will be some description/complementary information pops up for them to read. What kind of technology/tools/packages I can use for this purpose?
PS: I've explored some possible ways, yet none of them fits my needs. I've tried rggobi + ggobi. They can't coz they are not for web applications. iPlot can't do it coz it generates histogram only. I've thought about asking R produces some intermediate date which I can pass to some JavaScript packages like HighCharts. Yet, apparently R is much powerful than JS. R can generates some advanced type of charts which JS just can't do.
You should use R to generate the data and then export it in a format that a javascript framework for graphs can understand.
This way you could benefit from the advanced statistical analysis provided by R and the presentation layer of javascript.
Lots of solutions exist for this problem, but i've heard lots of good things about Raphael and its chart plugin, which you may want to investigate
The playwith package offers facilities to manipulate rgl graphics. A couple of links:
http://code.google.com/p/playwith/w/list
http://www.r-bloggers.com/playing-with-the-%E2%80%98playwith%E2%80%99-package/
Look at the sendplot package or the RSVGTipsDevice package.
Currently, I generate results from statistical analyses (e.g., a three-dimensional plot) and then "manually" move it to processing - a graphics programming language) where I can (with some simple coding) export an interactive java applet (e.g., allow the person viewing the plot to move in, out, and around the data points). Can I keep this whole process within R? Specifically, I want to create an applet (doesn't have to be Java but would need to be web embeddable, interactive (so not a movie), and not require the user to work in R or have to download things) that can be passed on.
Thanks.
Not totally clear on your requirements: can you be sure that the user will have R installed (e.g. can you run a script on their desktops to install everything first)? Does it have to run over the web?
The animation package (http://cran.r-project.org/web/packages/animation/) isn't interactive, but it can create moving images.
The iplots package is useful, although it requires R: http://rosuda.org/iPlots/iplots.html
Similarly, rggobi is extremely useful for interactive graphics, but it also requires R. You can read more http://www.jstatsoft.org/v30/b07/paper and http://www.ggobi.org/rggobi/.
A last example is biplotgui: http://r-forge.r-project.org/projects/biplotgui/
I heard that there's a project in development to create Flash output from R, but I can't find anything about it.
Can I keep this whole process within R?
Check out GGobi:
GGobi is an open source visualization program for exploring high-dimensional data. It provides highly dynamic and interactive graphics such as tours, as well as familiar graphics such as the scatterplot, barchart and parallel coordinates plots. Plots are interactive and linked with brushing and identification.