1799 search results for "tutorial"

Machine Learning in R for beginners

March 25, 2015
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Machine Learning in R for beginners

Introducing: Machine Learning in R Machine learning is a branch in computer science that studies the design of algorithms that can learn. Typical machine learning tasks are concept learning, function learning or “predictive modeling”, clustering and finding predictive patterns. These tasks are learned through available data that were observed through experiences or instructions, for example. The post

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Bio7 2.0 for Windows 32 bit Release

March 24, 2015
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24.03.2015 Because of some requests of a Windows 32 bit version of Bio7 2.0 I uploaded a built to sourceforge. Release notes: Updated R to version 3.1.3 Updated ImageJ to version 1.49p Added some ImageJ dialog options (to stay on top, e.g., the ROI Manager) Updated Java to version 1.8.40 Updated the JavaFX embedded SceneBuilder

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broom: a package for tidying statistical models into data frames

March 19, 2015
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broom: a package for tidying statistical models into data frames

The concept of “tidy data”, as introduced by Hadley Wickham, offers a powerful framework for data manipulation, analysis, and visualization. Popular packages like dplyr, tidyr and ggplot2 take great advantage of this framework, as explored in several recent posts by others. But there’s an important step in a tidy data workflow that so...

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Seven Ways You Can Use A Linear, Polynomial, Gaussian, & Exponential Line Of Best Fit

March 18, 2015
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Seven Ways You Can Use A Linear, Polynomial, Gaussian, & Exponential Line Of Best Fit

A line of best fit lets you model, predict, forecast, and explain data. This post shows how you can use a line of best fit to explain college tuition, rats, turkeys, burritos, and the NHL draft. Read on or see our tutorials for more. Contact us if you’re interested in a trial of plotly on-premise....

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Analyze LinkedIn with R

March 18, 2015
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Analyze LinkedIn with R

 If you have any questions to this tutorial or find some problems please feel free to create a topic in the forum: http://thinktostart.com/forums/forum/questions-tutorials/analyze-linkedin-with-r/ Some time ago I saw an interesting post in a R... The post Analyze LinkedIn with R appeared first on ThinkToStart.

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Part 3b: EDA with ggplot2

March 16, 2015
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Part 3b: EDA with ggplot2

In Part 3a I have introduced the plotting system ggplot2. I talked about its concept and syntax with some detail, and then created a few general plots, using the weather data set we've been working with in this series of tutorials. My goal was to show ...

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Helping Your Organization Migrate to R

March 16, 2015
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Helping Your Organization Migrate to R

by Bob Muenchen As the R programming environment has grown in capability and popularity, so have the number of organizations planning to migrate to it from proprietary tools. I’ve helped members of various organizations transition from SAS, SPSS and/or Stata to R (see Workshop … Continue reading →

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Simple Lower US 48 Albers Maps & Local (no-API) City/State Geocoding in R

March 15, 2015
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Simple Lower US 48 Albers Maps & Local (no-API) City/State Geocoding in R

I’ve been seeing an uptick in static US “lower 48″ maps with “meh” projections this year, possibly caused by a flood of new folks resolving to learn R but using pretty old documentation or tutorials. I’ve also been seeing an uptick in folks needing to geocode US city/state to lat/lon. I thought I’d tackle both

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Adopting R for experienced developers

March 14, 2015
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Adopting R for experienced developers

More and more frequently I come across people who express an interest in R, and I thought I would share some advice to help people decide if R is something they should use, as well as some high level advice on getting started. Most of these people are developers with at least few years experience writing code...

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How to Make a Histogram with ggvis in R

March 13, 2015
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How to Make a Histogram with ggvis in R

The two previous posts described how you can make histograms with basic R and the ggplot2 package. This third and last part of our histograms tutorial will look at how to make a histogram with ggvis. This package is similar to ggplot2, as it is also based on “the grammar of graphics”. However, ggvis has The post

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