DailyMeteo.org - 2014 Conference

R blog By February 10, 2014 Tags: , , No Comments

Our friend Stefan has been participating in MilanoR since the beginning, and was one of the people who started using R intensively after the "Introduction to R" Quantide course. Since he is from Belgrade (Serbia), and takes part in the activities of the Belgrade R community, there is an interesting R event/conference which will take place in Belgrade in June, which he would like to share with us.

Having in mind that the MilanoR group is a group of all R users of Milan, we are always open to publish news that could be interesting for our users. It is enough to contact the webmaster.

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"Programming with R" course in Milano (Italy) on January 30-31

Courses By December 9, 2013 Tags: , , , 1 Comment

Course description
This two-day course provides an overview of several advanced R topics, such as: R environments, object oriented programming, functional programming and debugging.

Who should attend this course
Anyone who is already using R and willing to gain a more in depth perspective on R programming.

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Il mio primo... plot (.ly): grafici interattivi con Plotly

R blog By December 5, 2013 Tags: , , , 1 Comment

Cari appassionati di R,
ho scoperto Plotly alcuni giorni fa, e sono rimasto colpito da questo strumento.

Cos'è Plotly?
Plotly è un servizio per la creazione e la condivisione di "data visualization" che offre anche uno strumento per svolgere analisi statistice. Inoltre offre API, la possibilità di disegnare funzioni personalizzate e una shell Python integrata. Tra le API, c'è anche quella per R: le visualizzazione interattive offerte da Plotly possono essere create direttamente in R.

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My first... plot (.ly): beautiful plots with Plotly

R blog By December 5, 2013 Tags: , , , 2 Comments

Questo articolo può essere letto anche in italiano

Dear R-enthusiastic,
I discovered Plotly some days ago, and I was fascinated by it.

What is Plotly?
Plotly is a service for creating and sharing data visualizations that also offers statistical analysis tools plus a robust API, the ability to graph custom functions and a built-in Python shell. Among its APIs, there is the R one: Plotly interactive visualization can be created directly from R.

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