Blog Archives

vtreat version 0.5.26 released on CRAN

July 12, 2016
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Win-Vector LLC, Nina Zumel and I are pleased to announce that ‘vtreat’ version 0.5.26 has been released on CRAN. ‘vtreat’ is a data.frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. (from the package documentation) ‘vtreat’ is an R package that incorporates a number of transforms and simulated out of … Continue reading...

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y-aware scaling in context

June 22, 2016
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Nina Zumel introduced y-aware scaling in her recent article Principal Components Regression, Pt. 2: Y-Aware Methods. I really encourage you to read the article and add the technique to your repertoire. The method combines well with other methods and can drive better predictive modeling results. From feedback I am not sure everybody noticed that in … Continue reading...

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Why you should read Nina Zumel’s 3 part series on principal components analysis and regression

June 9, 2016
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Why you should read Nina Zumel’s 3 part series on principal components analysis and regression

Short form: Win-Vector LLC’s Dr. Nina Zumel has a three part series on Principal Components Regression that we think is well worth your time. Part 1: the proper preparation of data (including scaling) and use of principal components analysis (particularly for supervised learning or regression). Part 2: the introduction of y-aware scaling to direct the … Continue reading...

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Free e-book: Exploring Data Science

June 8, 2016
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Free e-book: Exploring Data Science

We are pleased to announce a new free e-book from Manning Publications: Exploring Data Science. Exploring Data Science is a collection of five chapters hand picked by John Mount and Nina Zumel, introducing you to various areas in data science and explaining which methodologies work best for each. Exploring Data Science gives you a free … Continue reading...

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Using geom_step

June 3, 2016
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Using geom_step

geom_step is an interesting geom supplied by the R package ggplot2. It is an appropriate rendering option for financial market data and we will show how and why to use it in this article. Let’s take a simple example of plotting market data. In this case we are plotting the "ask price" (the publicly published … Continue reading...

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A demonstration of vtreat data preparation

June 1, 2016
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A demonstration of vtreat data preparation

This article is a demonstration the use of the R vtreat variable preparation package followed by caret controlled training. In previous writings we have gone to great lengths to document, explain and motivate vtreat. That necessarily gets long and unnecessarily feels complicated. In this example we are going to show what building a predictive model … Continue reading...

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On ranger respect.unordered.factors

May 30, 2016
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On ranger respect.unordered.factors

It is often said that “R it its packages.” One package of interest is ranger a fast parallel C++ implementation of random forest machine learning. Ranger is great package and at first glance appears to remove the “only 63 levels allowed for string/categorical variables” limit found in the Fortran randomForest package. Actually this appearance is … Continue reading...

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Installing WVPlots and “knitting R markdown”

May 20, 2016
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Installing WVPlots and “knitting R markdown”

Some readers have been having a bit of trouble using devtools to install WVPlots. I thought I would write a note with a few instructions to help. These are things you should not have to do often, and things those of us already running R have stumbled through and forgotten about. First you will need … Continue reading...

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For a short time: Half Off Some Manning Data Science Books

May 12, 2016
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Our publisher Manning Publications is celebrating the release of a new data science in Python title Introducing Data Science by offering it and other Manning titles at half off until Wednesday, May 18. As part of the promotion you can also use the supplied discount code mlcielenlt for half off some R titles including R … Continue reading...

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Coming up: principal components analysis

May 7, 2016
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Coming up: principal components analysis

Just a “heads-up.” I’ve been editing a two-part series Nina Zumel is writing on some of the pitfalls of improperly applied principal components analysis/regression and how to avoid them (we are using the plural spelling as used in following Everitt The Cambridge Dictionary of Statistics). The series is looking absolutely fantastic and I think it … Continue reading...

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