259 search results for "pca"

sjPlot – data visualization for statistics (in social science) #rstats

November 26, 2013
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sjPlot – data visualization for statistics (in social science) #rstats

I’d like to announce the release of version 0.7 of my R package for data visualization and give a small overview of this package (download and installation instructions can be found on the package page). What does this package do? In short, the functions in this package mostly do two things: compute basic or advanced

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How to format plots for publication using ggplot2 (with some help from Inkscape)

November 20, 2013
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How to format plots for publication using ggplot2 (with some help from Inkscape)

The following is the code from a presentation made by Rosemary Hartman to the Davis R Users’ Group. I’ve run the code through the spin function in knitr to produce this post. Download the script to walk through here. First, make your plot. I am going to use the data already in R about sleep habits...

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Art of Statistical Inference

November 20, 2013
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Art of Statistical Inference

(This article was first published on MATHEMATICS IN MEDICINE, and kindly contributed to R-bloggers) Art of Statistical Inference Art of Statistical Inference This post was written by me a few years ago, when I started learning the art and science of data analysis. It will be a good starter for the amateur data analysts. Introduction What is statistics? There...

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Visualising Structure in Topic Models

November 11, 2013
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Visualising Structure in Topic Models

How exactly should we visualise topic models to get an overview of how topics relate to each other? This post is a brief lit review of that debate - I realise the subject matter is sooo last year. I also present my chosen solution to the dilemma: I use dendrograms to position topic, and add a...

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Key Driver vs. Network Analysis in R

November 8, 2013
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Key Driver vs. Network Analysis in R

When marketing researchers speak of driver analysis, they are referring to an input-output model with overall satisfaction as the output and performance ratings of specific product and service components as the inputs. The causal model is straightforwa...

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Generating d3js Motion Charts from rCharts

November 4, 2013
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Generating d3js Motion Charts from rCharts

Remember Gapminder, the animated motion chart popularised by Hans Rosling in his TED Talks and Joy of Stats TV programme? Well it’s back on TV this week in Don’t Panic – The Truth About Population, a compelling piece of OU/BBC co-produced stats theatre featuring Hans Rosling, and a Pepper’s Ghost illusion brought into the digital

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Dream Team – combining Tableau and R

November 3, 2013
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Dream Team – combining Tableau and R

Last quarter was a bit too busy to write some new blog post because of a new job. And changing the job often come along with changing the tools you work with. That was my way to Tableau. Tableau is one of the new stars in the BI/Analytics world and definitely worth a look. The people at Tableau...

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A Rather Nosy Topic Model Analysis of the Enron Email Corpus

November 3, 2013
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A Rather Nosy Topic Model Analysis of the Enron Email Corpus

Having only ever played with Latent Dirichlet Allocation using gensim in python, I was very interested to see a nice example of this kind of topic modelling in R.  Whenever I see a really cool analysis done, I get the … Continue reading →

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Les k-plus prcoches voisins :Vite, il faut se la réapproprier…

November 2, 2013
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Les k-plus prcoches voisins :Vite, il faut se la réapproprier…

(This article was first published on Learning Data Science , and kindly contributed to R-bloggers) K-plus proches voisins K-plus proches voisins Fondamentaux La notion de voisinage d'un point est assez intuitive. Une définition simple serait : une zone de l'espace qui comprend ce point. C'est une notion centrale en mathématique, particulièrement en analyse lorsqu'on souhaite unifier la notion de...

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Quarterback Wonderlic Scores by Institution (Academic) Strength

November 1, 2013
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Quarterback Wonderlic Scores by Institution (Academic) Strength

## geom_smooth: method="auto" and size of largest group is <1000, so using## loess. Use 'method = x' to change the smoothing method. I remember my dad telling me that when he was at Northwestern in the mid-70s, the team...

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