1016 search results for "RSTUDIO"

R ecology workshop

July 31, 2013
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R ecology workshop

After my presentation yesterday to a group of grad students on R resources, I did a presentation today on intro to R data manipulation, visualizations, and analyses/visualizations of biparite networks and community level analyses (diversity, rarefactio...

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Interfacing R and Google maps

July 30, 2013
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Interfacing R and Google maps

Introduction I couple of weeks ago I had an idea for a website where people can collaborate to create the first real Audio Atlas, using the power of the Google Maps API. The problem was that I do some programming in R but I did know very few things about HTML and javascript. However, I knew that having...

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Visualizing Book Sentiments

July 30, 2013
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Visualizing Book Sentiments

Sentiment analysis of social media content has become pretty popular of late, and a few days ago, as I lay in bed, I wondered if we could do the same thing to books - and see how sentiments vary through the story.The answer, of course, was that yes, we could. And if you’d rather just...

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R resources

July 30, 2013
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R resources

I'm doing a presentation today to grad students on R resources. I have been writing HTML presentations recently, but some great tools are now available to convert text that is easy to read and write to presentations. RStudio has something called R pr...

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R resources

July 30, 2013
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R resources

I'm doing a presentation today to grad students on R resources. I have been writing HTML presentations recently, but some great tools are now available to convert text that is easy to read and write to presentations. RStudio has something called R pr...

Read more »

Orthogonal Partial Least Squares (OPLS) in R

July 28, 2013
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Orthogonal Partial Least Squares (OPLS) in R

I often need to analyze and model very wide data (variables >>>samples), and because of this I gravitate to robust yet relatively simple methods. In my opinion partial least squares (PLS) is a particular useful algorithm. Simply put, PLS is an extension of principal components analysis (PCA), a non-supervised  method to maximizing  variance explained in X,

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Classification of the Hyper-Spectral and LiDAR Imagery using R (mostly). Part 1: Result Evaluation

July 28, 2013
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Classification of the Hyper-Spectral and LiDAR Imagery using R (mostly). Part 1: Result Evaluation

Introduction There was the EEEI Data Fusion Contest this spring. This year they wanted people to elaborate about hyper-spectral (142-bands imagery) and LiDAR data. The resolution of the data-set was about 5 m.  There were 2 nominations: best classification and  the best scientific paper.  I work with high-resolution imagery quite often, but classification is a very rear task for me...

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SAP HANA OData and R

SAP HANA OData and R

As you might have discovered by now...I love R...it's just an amazing programming language...By now...I have integrate R and SAP HANA via ODBC and via the SAP HANA-R integration...but I have completely left out the SAP HANA OData capabilities.For this ...

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Using Geany for programming in R

July 27, 2013
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Using Geany for programming in R

I like Geany as a no-nonsense Integrated Development Environment (IDE). It is fast, elegant, intuitive, and lets you get your programming job done. (I certainly find it superior to the more popular Gedit.) You can also use it to program in R, and this page will show off some tips for doing that. Execute commands

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SAP HANA and R – Keep shining

SAP HANA and R – Keep shining

Since I discovered Shiny and published my blog A Shiny example - SAP HANA, R and Shiny I always wanted to actually run a Shiny application from SAP HANA Studio, instead of having to call it from RStudio and having to use an ODBC connection.A couple of ...

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