1158 search results for "graphic model"

Two-sex demographic models in R

October 26, 2011
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Two-sex demographic models in R

Tom Miller (a prof here at Rice) and Brian Inouye have a paper out in Ecology (paper, appendices) that confronts two-sex models of dispersal with empirical data.They conducted the first confrontation of two-sex demographic models with empirical data on...

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Interactions between Categorical Variables in Mixed Graphical Models

April 28, 2016
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Interactions between Categorical Variables in Mixed Graphical Models

In a previous post we recovered the conditional independence structure in a dataset of mixed variables describing different aspects of the life of individuals diagnosed with Autism Spectrum Disorder, using the mgm package. While depicting the independence structure in multivariate data set gives a first overview of the relations between variables, in most applications we interested in...

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Estimating mixed graphical models

November 30, 2015
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Determining conditional independence relationships through undirected graphical models is a key component in the statistical analysis of complex obervational data in a wide variety of disciplines. In many situations one seeks to estimate the underlying graphical model of a dataset that includes variables of different domains. As an example, take a typical dataset in the social, behavioral and medical sciences,...

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Graphical Modeling Mimics Selective Attention: Customer Satisfaction Ratings

October 28, 2015
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Graphical Modeling Mimics Selective Attention: Customer Satisfaction Ratings

As shown by the eye tracking lines and circles, there is more on the above screenshot than we can process simultaneously. Visual perception takes time, and we must track where the eye focuses by recording sequence and duration. The "50% off" ...

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A function to help graphical model checks of lm and ANOVA

March 25, 2015
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A function to help graphical model checks of lm and ANOVA

As always a more colourful version of this post is available on rpubs. Even if LM are very simple models at the basis of many more complex ones, LM still have some assumptions that if not met would render any interpretation from the models plainly wrong. In my field of research most people were taught

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R intro seminars, take 2: some slides about data frames, linear models and statistical graphics

November 7, 2013
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R intro seminars, take 2: some slides about data frames, linear models and statistical graphics

I am doing a second installment of the lunch seminars about data analysis with R for the members of the Wright lab. It’s pretty much the same material as before — data frames, linear models and some plots with ggplot2 — but I’ve sprinkled in some more exercises during the seminars. I’ve tried emphasising scripting a

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A Graphical Approach to Showing the Result of Classification Models

June 4, 2013
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A Graphical Approach to Showing the Result of Classification Models

This is one of my favorite charts, it easily allows one to see how many predictions are right, and it allows one to see where the wrong ones are as well. It is the equivalent of a confusion matrix, but sometimes a picture is worth a thousand words. Some sample code is included below.  

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Make a Graphical Figure of your SEM model in OpenMx

November 19, 2012
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In this post, I made an SEM model and showed the results in a table.It’s a great feature of SEM that you can sketch your ideas about how the world works, and being able to get such a sketch back out of OpenMx is very helpful.Importantly, a figure can help readers understand what you’ve done, and it is a...

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Spatial segregation in cities – An explanation by a neural network model (Demographics & neural network)

September 25, 2012
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Spatial segregation in cities – An explanation by a neural network model (Demographics & neural network)

Graphically Comparing Confidence Intervals From Different Models

September 5, 2012
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(This article was first published on Christopher Gandrud (간드루드 크리스토파), and kindly contributed to R-bloggers) To leave a comment for the author, please follow the link and comment on their blog: Christopher Gandrud (간드루드 크리스토파). R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps,...

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