G5W
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Best way to visualize huge amount of data
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3 votes

I have three suggestions that may help. Reduce the point size Make the points highly transparent Downsample the points Since you do not provide any sample data, I will use some random data to ...

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How do I fit a curve into non linear data?
2 votes

Here is a simple solution that you can compute yourself. It is trivial to solve your equation for $γ$ as a function of the other values. We get $$ γ = \sqrt{(\biggr( \frac{C}{v(ω)} \biggl) ^2 - {(ω^...

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What does it mean to take the "average" of two decision trees by 'voting'
2 votes

I think that you are mixing together two different things - random forests for regression and for classification. Regression means to predict a continuous value (number). Random forest can construct ...

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Name of this type of cross variable interaction Plot
Accepted answer
3 votes

Here is python code to make a pretty good match for your picture. from igraph import * AM = [[1,3,1,0], [3,7,3,0], [0,1,9,1], [0,1,3,1]] g = Graph.Weighted_Adjacency(AM) g.vs["color"] = ["red", "...

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Clustering by Distributions of Groups of observations
2 votes

You say "I don't want to calculate slopes or averages by groups and cluster because the distributions don't seem linear, or normal" but it looks to me like each group makes a nice compact cluster ...

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Information Gain in R
2 votes

This is not a complete answer to your question, but I can explain at least part of the problem. Since you do not provide your data, I cannot reproduce your results. However, it is easy to demonstrate ...

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Clustering of numerical data
1 votes

I suspect that clustering this data will not be very productive. Just make a simple plot showing two variables at a time. None of these seems to give evidence of natural clustering. One of these ...

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What is the best tutorial to quickly learning machine learning in R
1 votes

There is the Wikibook Data Mining Algorithms In R and some useful examples at rdatamining.com

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