1068 search results for "how to import image file to r"

Bio7 1.7 for Windows Released!

August 8, 2013
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Bio7 1.7 for Windows Released!

07.08.2013 A new Windows version of Bio7 is available. This version comes with a lot of new features and improvements for Java, R and ImageJ. One highlight is that you can now interpret Jython (Python) code with Bio7. In addition a new console implementation is available which offers access to a native shell, different Java

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Assessing the precision of classification tree model predictions

Assessing the precision of classification tree model predictions

My last post focused on the use of the ctree procedure in the R package party to build classification tree models.  These models map each record in a dataset into one of M mutually exclusive groups, which are characterized by their average response.  For responses coded as 0 or 1, this average may be regarded as an estimate of...

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How to choose a new business location with R

August 6, 2013
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How to choose a new business location with R

This guest post is by Rodolfo Vanzini. Rodolfo is senior partner at eXponential.it — an asset management consultancy based in Italy — and advises clients on investment management issues. He taught at the University of Siena and is an analytics professional. With an economist education and a financial markets expertise four years ago I thought I couldn't be of...

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How Much Should Bale Cost Real?

August 5, 2013
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How Much Should Bale Cost Real?

It looks increasingly likely that Gareth Bale will transfer from Tottenham to Real Madrid for a world record transfer fee. Negotiations are ongoing, with both parties keen to get the best deal possible deal with the transfer fee. Reports speculate that this transfer fee will be anywhere in the very wide range of £80m to

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Dashboards in R with Shiny and GoogleVis

August 2, 2013
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Dashboards in R with Shiny and GoogleVis

Previously on this post, I introduced limitedly some features of the Shiny package. However, I felt the need of doing a new post related to Dashboards due to many reasons: a) Shiny has changed most of its functions and the … Continue reading →

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Estimating Ages from First Names Part 2 – Using Some Morbid Test Data

July 31, 2013
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Estimating Ages from First Names Part 2 – Using Some Morbid Test Data

In my last post, I wrote about how I compiled a US Social Security Agency data set into something usable in R, and mentioned some issues scaling it up to be usable for bigger datasets.  I also mentioned the need … Continue reading →

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Measuring Bias in Published Work

July 31, 2013
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Measuring Bias in Published Work

In a series of previous posts, I’ve spent some time looking at the idea that the review and publication process in political science—and specifically, the requirement that a result must be statistically significant in order to be scientifically notable or publishable—produces a very misleading scientific literature. In short, published studies of some relationship will tend

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Measuring Bias in Published Work

July 31, 2013
By
Measuring Bias in Published Work

In a series of previous posts, I’ve spent some time looking at the idea that the review and publication process in political science—and specifically, the requirement that a result must be statistically significant in order to be scientifically notable or publishable—produces a very misleading scientific literature. In short, published studies of some relationship will tend

Read more »

Programming instrumental music from scratch

July 29, 2013
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Programming instrumental music from scratch

I recently posted about automatically making music. The algorithm that I made pulled out interesting sequences of music from existing songs and remixed them. While this worked reasonably well, it also didn’t have full control over the basics of the music; it wasn’t actually specifying which instruments to use, or what notes to play. Maybe I’m being...

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Exploratory Data Analysis: Combining Histograms and Density Plots to Examine the Distribution of the Ozone Pollution Data from New York in R

Exploratory Data Analysis: Combining Histograms and Density Plots to Examine the Distribution of the Ozone Pollution Data from New York in R

Introduction This is a follow-up post to my recent introduction of histograms.  Previously, I presented the conceptual foundations of histograms and used a histogram to approximate the distribution of the “Ozone” data from the built-in data set “airquality” in R.  Today, I will examine this distribution in more detail by overlaying the histogram with parametric

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