Blog Archives

Causal inference with DAGs in R

August 6, 2019
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Causal inference with DAGs in R

Directed cyclical graphs (DAGs) are a powerful tool to understand and deal with causal inference. The book “Causal inference in statistics: a primer” is a useful reference to start, authored from Pearl, Glymour, and Jewell. Directed cyclical graphs (DAGs) are a powerful tool to understand and deal with causal inference. Causal inference in statistics: a … Continua a leggere...

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R – Paolo Eusebi 2019-06-24 03:28:36

June 24, 2019
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R – Paolo Eusebi 2019-06-24 03:28:36

Wow! I was listening a recent episode of the “Storytelling with data” podcast by Cole Nussbaumer Knaflic. It was an interview with Alberto Cairo who came up recommending an awesome tool for data visualization: iNZight! Interestingly iNZight is entirely based on R code and in its latest releases it speaks tidyverse language and some features … Continua a leggere...

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Using R in the pharmaceutical industry

March 27, 2019
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Although SAS is the main player in the pharmaceutical industry, R is gaining popularity. In this post I will just mention some initiatives, documents and podcast episodes dealing with using R in pharmaceutical research and development programs. Recently, it was a pleasure to listen the episode of the Effective Statistician podcast about the rise of … Continua a leggere...

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Working with big SAS datasets using R and sparklyr

February 13, 2019
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Working with big SAS datasets using R and sparklyr

In general, R loads all data into memory while SAS allocates memory dynamically to keep data on disk. This makes SAS a better solution for handling very large datasets. I often need to work with large SAS data files that are prepared in the information system of my department. However, I always try to fit … Continua a leggere...

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ELK+R Stack

January 24, 2019
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ELK+R Stack

Elasticsearch is a search engine based on the Lucene library. It provides a distributed full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is becoming the bigger player in the technology for documents search in the noSQL space and is actually experiencing a great development phase (6 versions in few years … Continua a leggere...

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My fi(R)st day with Jupyter Lab

October 25, 2018
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My fi(R)st day with Jupyter Lab

Today was my first day with Jupyter Lab . I knew about Jupyter Lab listening episode 44 of  DataFramed, the DataCamp‘s official podcast presented by Hugo Bowne-Anderson. In this episode, Project Jupiter was described in the context of interactive computing by Brian Granger, professor of physics and data science at Cal Poly State University in San Luis Obispo, CA. … Continua a leggere...

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