Many statistical papers or articles present very nice draws of graphical models.  Example: this on LDA from wikipedia    or this, pg 7, directly from the paper:    I am now writing a paper where I have to introduce a new graphical model. If I try to draw it, say with paint, something very horrible comes out (see my other posts)  So I am wondering: which tool use statisticians to draw such nice models in their papers?
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I am searching for [free] software that can produce nice looking graphical models, e.g.     Any suggestions would be appreciated.
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I am preparing a paper in the field of Computer Science.  In order to report test results, we usually run a number of tests and report the average of those tests.  For each test, we generate random data.  Because of the randomness, at some points, the results may come out not as expected.  For instance, a graph may be like:   Usually, one should explain why on points 8, 11 and 12 there is a decrease on the plot. Probably, it is because of that randomness.  Not hand-crafting all the graph, but just manipulating a few points makes the graph acceptable:   Since three weeks or so, I work my ass off and try to figure out why my resulting graph looks like the first one. Sometimes I feel like yielding to temptation and just modify the raw data before I go crazy.  I believe, at this point the title became misleading, so let me make it clear:  I am not seeking an advice on data manipulation. I will not manipulate my data. However, I ask to myself "how the hell this can be detected?"  And now, I don't only ask to myself, but to whole community. How is this detected? For editors, referees out there, have you ever detected something like this?
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I hope to draw a picture like this:    I find it difficult because   Each rectangle is similar in size, with multiple lines of text inside; Some of the upper right corner of the rectangle has some numbers; I can't deal with the four arrows fired from a rectangle IV; Do not know how to locate the rectangle X; I've never drawn this type of graph, no strategy.   Maybe my question violate of the norms of the Forum, but I don't have any other way.
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I want to explain my model step by step so anyone can easely understand what's going on. So, is it possible to write comments in the QGIS's Graphical Modeler?
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I am searching for a way to have a figure drawn using LaTeX. I am aware of some packages TikZ and PSTricks that could accomplish this, and have been tinkering around with them recently but do not have enough skill set at the moment to accomplish this drawing. Is there a way someone can accomplish the drawing, preferably with TikZ but could be any package your most comfortable with in a reduced amount of coding (non-advanced) to where I could understand what is happening from the code to the picture. If this is not possible, then I will have to study the package more and work with it until I understand the method (code) to create the graphic. The drawing is below.  Note: This is a rough sketch. The optimal output would have smooth quadratic curves and all quantities are vectors.
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I was reading online and found this site:   I was very curious how this professor drew all these circuit diagrams in his lecture notes (such as this one: ). They just look very very good.   And example is shown below:      To be more specific about what I mean, by "publication quality" I mean the following:   The software must output vector graphics, such as eps, or windows meta files. It would be good to have control over the style of the graphics, such the style of the components, line width, figure size, etc. It would be good to have a graphical user interface. I understand LaTeX is very powerful but it's just too painful to write a 100 line script to generate a circuit diagram.   So in short, I'm not really looking for a schematic capture program. I'm looking for a program that can generate pretty circuit schematic illustrations so that I can put them in papers and presentations.  (I am aware of other posts on this forum, such as this one: .  None of the software mentioned in that post seems to get you publication quality figures.)
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For a small class I want to draw a bivariate normal distribution and show where the means from the two variables meet in the space. Has anyone done this in TikZ?
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I work in the field of data mining and have had very little formal schooling in statistics. Lately I have been reading a lot of work  that focuses on Bayesian paradigms for learning and mining, which I find very interesting.   My question is (in several parts), given a problem is there a general framework by which it is possible to construct a statistical model? What are the first things you do when given a dataset of which you'd like to model the underlying process? Are there good books/tutorials out there that explain this process or is it a matter of experience? Is inference in the forefront of your mind when constructing your model or do you first aim to describe the data before you worry about how to use it to compute?  Any insight would be greatly appreciated! Thanks.
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What is a good introduction to statistics for a mathematician who is already well-versed in probability?  I have two distinct motivations for asking, which may well lead to different suggestions:   I'd like to better understand the statistics motivation behind many problems considered by probabilists. I'd like to know how to better interpret the results of Monte Carlo simulations which I sometimes do to form mathematical conjectures.   I'm open to the possibility that the best way to go is not to look for something like "Statistics for Probabilists" and just go to a more introductory source.
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Back in April, I attended a talk at the UMD Math Department Statistics group seminar series called "To Explain or To Predict?". The talk was given by  who teaches at UMD's Smith Business School. Her talk was based on research she did for a paper titled , and a follow up working paper titled .   Dr. Shmueli's argument is that the terms predictive and explanatory in a statistical modeling context have become conflated, and that statistical literature lacks a a thorough discussion of the differences. In the paper, she contrasts both and talks about their practical implications. I encourage you to read the papers.   The questions I'd like to pose to the practitioner community are:   How do you define a predictive exercise vs an explanatory/descriptive one? It would be useful if you could talk about the specific application. Have you ever fallen into the trap of using one when meaning to use the other? I certainly have. How do you know which one to use?
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Here I want to draw some Brownian motions in tikz, like this:  Furthermore, I want to truncate the trajectory of Brownian motion, like this:   I have tried many times with random functions in tikz, but always fail.  BTW, the figures uploaded are screenshots from "Brownian Motion - Draft version of May 25, 2008" written by Peter Mörters and Yuval Peres.
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I am curious to know how the figures in popular introductory physics/Engineering textbooks are made. As examples of what I mean, see the posted figures and my comments, all from various editions of the Physics book by Serway and Jewett book (I think).  Look at all of these color gradients throughout the metals, and the imitations of lighting on the spheres. Notice the relatively realistic nature of the force scale and pullies.  Notice here that we have proper, LaTeX-like font on the mathematical symbols.  (source: ) Wow. So many complex shapes, good water drawings, and the ability to annotate the drawing freely.  Lastly, we see more extremely complicated, realistic objects, like the ship and the mountain. But this isn't just pictures, it's clear that the software used has a very precise coordinate system in it, as evidenced by the kinematics drawings overlaid. I am aware of other posts on Physics SE recommending drawing softwares such as PowerPoint, TiKZ, aymptote,  mathematica, etc. But I highly doubt these figures were produced in any of these. My suspicion is that the publishers have some specialized software for this task. So what is that software? Does anyone know? The Physics SE did not have the answer... It is important to realize the stipulation that one must be able to type properly formatted mathematics (using some manifestation LaTeX) into the figures. I say this because I intend to use such figures in a book, and the fonts must match.
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When writing a paper / making a presentation about a topic which is about neural networks, one usually visualizes the networks architecture.  What are good / simple ways to visualize common architectures automatically?
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I know the following libraries for drawing charts in an SWT/Eclipse RCP application:    (Links to an article on how to use it)    Which other libraries are there for drawing pretty charts with SWT? Or charts in Java generally? After all, you can always display an image...
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Is there such a thing as a line/vertices symbology? If not a workaround? In some situations, particularly when editing, I would like to see my lines as well as all the vertices similar to the effect I get when using the Edit Vertices tool but on all features in the feature class not just the selected feature.  The solution should be dynamic, without having to create a separate point layer but having one line features class loaded twice in the TOC is acceptable.  Programmatic solution using an example (addin, ArcObjects &amp; VB.Net) is acceptable.  I have the ArcEditor license in case there is a trick to use with representations.
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I am stuck on drawing a P-V graph through latex. Could anybody help me code on this?   I appreciate your help!
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It's not really a typical math question. Today, while studying graphs, I suddenly got inquisitive about whether there exists a function that could possibly draw a heart-shaped graph. Out of sheer curiosity, I clicked on Google, which took me to .  The page seems informative, and I am glad to learn certain new things! Now I am interested in drawing them by my own using Mathematica. So my question is: is it possible to draw them in Mathematica? If yes, please show me how.