search for: arikan

Displaying 5 results from an estimated 5 matches for "arikan".

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2011 Mar 27
2
overlaying
...command. However, I am not sure how to plot the standard deviation data on top of this. This kind of chart will save me time and space so I want to overlay standard deviation values. I appreciate your suggestions in terms of how to do this or using a different type of graph. Thank you, -- BÜLENT ARIKAN, PhD Postdoctoral Scholar Center for Social Dynamics and Complexity & School of Human Evolution and Social Change Arizona State University Tempe - AZ 85287-2402 [[alternative HTML version deleted]]
2011 Mar 26
3
line graph question
Hi, I am working on some line charts and although I have a lot of resources, I cannot seem to find an answer to this question: how can I set the incrementation of values on the x-axis values so that I can see all the groups on this axis. Right now, R puts them at increments of 2 (i.e., 2, 4, 6, 8, 10, 12). I need to see all, from 1 to 12. Thank you! -- BÜLENT [[alternative HTML version
2011 Jan 20
2
ANOVA plotting
Dear List, I recently started using R and I have a simple question. I am running R (v. 2.12.1) and Rcmdr (v.1-6.3) on Mac (Snow Leopard). I am using a data set I used before for practicing ANOVA with R, so I know what the results should look like. I can get ANOVA table using both Rcmdr and GUI. However, I cannot make R prepare the ANOVA diagram (with boxplots, showing the data points, including
2011 Oct 17
1
Best practices for handling very small numbers?
Greetings I have been experimenting with sampling from posterior distributions using R. Assume that I have the following observations from a normal distribution, with an unscaled joint likelihood function: normsamples = rnorm(1000,8,3) joint_likelihood = function(observations, mean, sigma){ return((sigma ^ (-1 * length(observations))) * exp(-0.5 * sum( ((observations - mean ) ^ 2)) / (sigma
2012 Aug 30
2
Which BUGS should one use?
Hello ALL! Some times ago I started to learn and play with Bayesian stuffs. Many advice use of WinBUGS for Bayesian inference Using Gibbs Sampler. However, WinBUGS is discontinued, and now, development is under OpenBUGS. I wasn't lazy, so I installed both and tried out. In more than 90% of cases they give comparable outcome. But in few cases I got substantial differences. Recently, I read nice