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Extended (Simple) ASN Graph Visualization Example [R to D3]
(This article was first published on rud.is » R, and kindly contributed to R-bloggers) The small igraph visualization in the previous post shows the basics of what you can do with the BulkOrigin &...
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Finding Patterns Amongst Binary Variables with the homals Package
(This article was first published on Data and Analysis with R, at Work, and kindly contributed to R-bloggers) It’s survey analysis season for me at work! When analyzing survey data, the one kind of...
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Shading and Points with xtsExtra plot.xts
(This article was first published on Timely Portfolio, and kindly contributed to R-bloggers) For some reason, I feel like have much better control with plot.xts function from the xtsExtra package...
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PCA to PLS modeling analysis strategy for WIDE DATA
(This article was first published on imDEV » R, and kindly contributed to R-bloggers) Working with wide data is already hard enough, add to this row outliers and things can get murky fast. Here is an...
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reading raster data using library(parallel)
(This article was first published on metvurst, and kindly contributed to R-bloggers) Recently, I have been doing some analysis for a project I am involved in. In particular, I was interested what role...
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Evaluation of Orthogonal Signal Correction for PLS modeling (OSC-PLS and OPLS)
(This article was first published on imDEV » R, and kindly contributed to R-bloggers) Partial least squares projection to latent structures or PLS is one of my favorite modeling algorithms. PLS is an...
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Violin plots and regional income distribution
(This article was first published on StaTEAstics., and kindly contributed to R-bloggers) body, td { font-family: sans-serif; background-color: white; font-size: 12px; margin: 8px; } tt, code, pre {...
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Reconstructing Principal Component Analysis Matrix
(This article was first published on mintgene » R, and kindly contributed to R-bloggers) PCA is widely used method for finding patterns in high-dimensional data. Whether you use it to compress large...
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Using the SVD to find the needle in the haystack
(This article was first published on G-Forge » R, and kindly contributed to R-bloggers) Sitting with a data set with too many variables? The SVD can be a valuable tool when you’re trying to sift...
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Eigen-analysis of Linear Model Behavior in R
(This article was first published on Climate Change Ecology » R, and kindly contributed to R-bloggers) This post is actually about replicating the figures in Otto and Day: A Biologist’s Guide to...
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Veterinary Epidemiologic Research: GLM (part 4) – Exact and Conditional...
(This article was first published on denis haine » R, and kindly contributed to R-bloggers)Next topic on logistic regression: the exact and the conditional logistic regressions.Exact logistic...
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Volatility Regimes: Part 1
(This article was first published on From Guinness to GARCH, and kindly contributed to R-bloggers)This is a ‘do over’ of a project I started while at my former employer in the fall of 2012. I...
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Which Torontonians Want a Casino? Survey Analysis Part 2
(This article was first published on Data and Analysis with R, at Work, and kindly contributed to R-bloggers)In my last post I said that I would try to investigate the question of who actually does...
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Sobol Sensitivity Analysis
(This article was first published on Rcpp Gallery, and kindly contributed to R-bloggers) Sensitivity analysis is the task of evaluating the sensitivity of a model output Y to input variables...
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Prototyping A General Regression Neural Network with SAS
(This article was first published on Yet Another Blog in Statistical Computing » S+/R, and kindly contributed to R-bloggers) Last time when I read the paper “A General Regression Neural Network” by...
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Principal Components Analysis Shiny App
(This article was first published on imDEV » r-bloggers, and kindly contributed to R-bloggers) I’ve recently started experimenting with making Shiny apps, and today I wanted to make a basic app for...
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Using R: Two plots of principal component analysis
(This article was first published on There is grandeur in this view of life » R, and kindly contributed to R-bloggers) PCA is a very common method for exploration and reduction of high-dimensional...
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Interactive Heatmaps (and Dendrograms) – A Shiny App
(This article was first published on imDEV » r-bloggers, and kindly contributed to R-bloggers) Heatmaps are a great way to visualize data matrices. Heatmap color and organization can be used to...
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Plotting principal component analysis with ggplot #rstats
(This article was first published on Strenge Jacke! » R, and kindly contributed to R-bloggers) This script was almost written on parallel to the sjPlotCorr script because it uses a very similar...
View ArticleEvaluating the Potential Incorporation of R into Research Methods Education...
(This article was first published on Jeromy Anglim's Blog: Psychology and Statistics, and kindly contributed to R-bloggers) I was recently completing some professional development activities that...
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