visualization

问题 How to visualize XML from Java? 回答1: The Apache Pivot Project contains a XML Viewer. If you rely on a specific library you should mention that in your question. 回答2: http://java-sl.com/xml_editor_kit.html 来源： https://stackoverflow.com/questions/2350548/java-lib-for-xml-tree-visualization

问题 I am using the C50 decision tree algorithm. I am able to build the tree and get the summaries, but cannot figure out how to plot or viz the tree. My C50 model is called credit_model In other decision tree packages, I usually use something like plot(credit_model). In rpart it is rpart.plot(credit_model). What is the equivalent in the C50 algorithm to plot? 回答1: Right now, there are none built in. I've been working on an adapter for the partykit package (e.g. as.party ) but have not gotten very

问题 I am using AndroidFX Visualizer class in my demo app to read FFT but when i try to create object of that class its throwing Runtime exception ( java.lang.RuntimeException: Cannot initialize Visualizer engine, error: -1 ). Player class is my custom class for playback control and using same Player class i have implemented equalizer class and that's working fine. Do i need to add any permission in manifest file? Player mediaPlayer = Player.GetInstance(); mediaPlayer.LoadFile("song.mp3");

问题 I am a ggplot2 newbie. I am making a scatter plot where the points are colored based on a third continuous variable. However, for some of the points, that continuous variable has either an Inf value or a NaN. How can I generate a continuous scale that has a special, separate color for Inf and another separate color for NaN? One way to get this behavior is to subset the data, and make a separate layer for the special points, where the color is set. But I'd like the special colors to enter the

问题 Suppose we are given a small number of objects and "distances" between them -- what algorithm exists for fitting these objects to points in two-dimensional space in a way that approximates these distances? The difficulty here is that the "distance" is not distance in Euclidean space -- this is why we can only fit/approximate. (for those interested in what the notion of distance is precisely, it is the symmetric distance metric on the power set of a (finite) set). 回答1: Given that the number of

问题 Does any of you know a tool for software visualization, or visual code navigation in c#? I found a bunch of tools but they're all for Java for some reason. There's a list of them in wikipedia but none is for the .Net platform. http://en.wikipedia.org/wiki/Software_visualization#Tools I'm very much interested in visual code navigation because I get very disoriented around big projects. 回答1: I think NDepend is what you are looking for, but unfortunately it's not for free. Edit: I just saw that

问题 I am working to document a visualization function in a package of mine. For this purpose I would like to have an image embedded through the Rd-file 'funcname.Rd' that could explain various parameters utilized in the function, and which would pop up if user goes to read the package manual PDF or writes '?funcname' in R. Something in the lines of: 'Writing R extensions'-document doesn't seem to address this issue, and the only references I could find were this blog post and this R-devel

问题 I have some data like this: myd <- structure(list(var1 = structure(1:4, .Label = c("II", "III", "IV", "V"), class = "factor"), zero_co = c(15.15152, 3.030303, 0, 0), non_zero_CO = c(84.84848, 96.969697, 100, 100), size = c(230, 813, 317, 1532)), .Names = c("var1", "zero_co", "non_zero_CO", "size"), row.names = c(NA, -4L), class = "data.frame") # myd # I II III IV V # zero_co 15.15152 3.030303 0 0 # non-zero CO 84.84848 96.969697 100 100 # size 230.00000 813.000000 317 1532 I want to plot size

问题 I am interested in how grants are reviewed at the NIH. The way the grant review process works is that Congress allocates funding to various institutes (e.g., the National Cancer Institute, or NCI), and individual grants are submitted to these institutes. These institutes are organized around various funding priorities (e.g., cancer, infectious diseases, etc). However, when grants are reviewed, they are typically (but not always) sent to individual study sections, which are organized more

问题 Questions I'm trying to visualize panel data on individuals that includes both a discrete or categorical choice and a continuous choice in each time period. One common example of this situation is customers purchasing a product/subscription and then choosing how frequently to use the product/service. I would like to show "flows" across time periods weighted by the continuous variable in each time period -- some sort of cross between a weighted stacked bar chart and a sankey or alluvial