# Tagged Questions

A partition is an assignment of every element of a set into 1 & only 1 subset w/ no empty subsets. A common instance of partitioning in statistics is the partitioning of sums of squares for F-tests.

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### Extract the different components of variance in a linear mixed model in R

Consider a mixed model as follows. ...
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### Assigning even partitions for Cross-Validation

This is a very basic question about cross-validation. Say that I have a sample size of 2901(or any difficult to divide number). How do I split this up into equal partitions (other than n=1)? And how ...
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### Need help understanding response from Metis

I was wondering if any of you could help me understand the response I got from this clustering algorithm (Metis). As you probably can see, I'm trying to cluster IP addresses based on common records ...
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### How do multi-attribute edge-weights influence community detection?

My graph consists of a computer network topology where each vertex is a physical node/device (depicted using its IP address). Two vertices will have an edge if the nodes have had communication with ...
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### Using a Decision Tree Algorithm such as C4.5 to understand population Partition

I have multivariate data about a certain population with more than 1000 attributes per exemplar. Some of the variables are basic demographics attributes including: gender, age, race, ethnicity, ...
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### Nested ANOVA: Unequal sample sizes? Variance components?

I am completely out of my depth on this, and all the reading I try to do just confuses me. I'm hoping you can explain things to me in a way that makes sense. (As always seems to be the case, "It ...
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### Partitioning variance from logistic regression

Short version How can I partition the variance from the different levels in a nested mixed-effects logistic regression? Preferably using R, but even general principles would be helpful as a start. ...
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### is it possible to use partitioned data(train&test) together with cross-fold validation?

I have used SPSS Clementine in order to train a classifier, for this I have used a partition node with 2 parts(train and test),then using a c5-tree and cross-fold validation. I did this because I ...
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### R procedure for comparing multiple categorical variables (similar to anova() followed by t.test() for continuous)?

Big Picture: How can I implement partitioned Chi Square in R? I understand how to perform the overall Chi square, and then how to get individual parameters (observed counts, expected counts, ...
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### Does Newman's network modularity work for signed, weighted graphs?

The modularity of a graph is defined on its Wikipedia page. In a different post, somebody explained that modularity can easily be computed (and maximized) for weighted networks because the adjacency ...
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### Class labels in data partitions

Suppose that one partitions the data to training/validation/test sets for further application of some classification algorithm, and it happens that training set doesn't contain all class labels that ...
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### How interactions between explanatory variables can be found using binary recursive partitioning?

I would like to investigate interactions between my explanatory variables prior to building a statsitical model. Apparently it is possible to do it in R using a regression tree (library: tree). This ...
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### Modularity of graph: why are probabilities of self-loop included?

I'm trying to understand the Newman Modularity (doi:10.1073/pnas.0601602103) by investigating its calculation on the Wikipedia example . My question is why are probabilities of self-loops included in ...