Data science enhances people’s decision making. Doctors and researchers are making critical decisions every day. Therefore, it is absolutely necessary for those people to have some basic knowledge of data science. This series aims to help people that are around medical field to enhance their data science skills. We ... [Read more...]

Introduction In the first part of this article I explained and compared four different functional forms to model apples' production. This is what I need to retake the previously explained examples: # Libraries #install.packages(c("micEcon","lmtest","bbmle","miscTools")) library(micEcon) library(lmtest) library(stats4) #this is a base package ... [Read more...]

Yesterday, I had the honour of presenting at The Data Science Conference in Chicago. My topic was Reproducible Data Science with R, and while the specific practices in the talk are aimed at R users, my intent was to make a general argument for doing data science within a reproducible ... [Read more...]

One of the first things you want to do when you explore a new dataset is to identify possible gaps. Sample size and the number of variables are relevant but…how many observations do you have for each variable? This distinction is even more relevant for archaeologists because (if we ... [Read more...]

There are a few packages for sending email directly from R, but I work in a place where none of these work due to strict network settings. To at least partially circumvent this, here’s some code to produce a PowerShell script to send email(s) via Outlook. The PowerShell ... [Read more...]

Logistic regressions are a great tool for predicting outcomes that are categorical. They use a transformation function based on probability to perform a linear regression. This makes them easy to interpret and implement in other systems. Logistic regressions can be The post Logistic regressions (in R) appeared first on Locke ... [Read more...]

A lot of open data is available in Luxembourg’s open data portal, but sometimes, it is not very easy to download. In the video below, I give you an example of such data and show how you can use rvest to get the data easily. After watching the video, ... [Read more...]

Time for a new release of Rblpapi -- version 0.3.6 is now on CRAN. Rblpapi provides a direct interface between R and the Bloomberg Terminal via the C++ API provided by Bloomberg Labs (but note that a valid Bloomberg license and installation is requir... [Read more...]

To get this R blog series started, I want to present a little data preparation procedure which comes up often in the analysis of time series. We are used to thinking of time series as somehow being regularly spaced. For instance, we may be lookin... [Read more...]

In a previous post, we imported oil data from Quandl and applied a simple model to it. Today, we’ll port that work over to a Shiny app (by way of flexdashboard, of course) that allows a user to choose a commodity (oil, copper or gold), choose a frequency for ... [Read more...]

In a previous post, we imported oil data from Quandl and applied a simple model to it. Today, we’ll port that work over to a Shiny app (by way of flexdashboard, of course) that allows a user to choose a commodity (oil, copper or gold), choose a frequency for ... [Read more...]

install.packages(“GrpString”) library(GrpString) [Read more...]

In R-Lab#2 we realized a Shinyapp that shows the earthquakes evolution over the Bove-Vettore fault. Here report, code, slides and app! The post Earthquakes & Maps - Report and shinyapp from R-Lab#2 appeared first on MilanoR. [Read more...]

One of the major announcements from yesterday's Data Amp event was that SQL Server 2017 will add Python as a supported language. Just as with the continued R support, SQL Server 2017 will allow you to process data in the database using any Python function or package without needing to export the ... [Read more...]

In the Exercises we will discuss User Defined Function in R Answers to the exercises are available here. Exercise 1 Create a function to print square of number Exercise 2 Create a function to print a number raise to another with the one argument a default argument Exercise 3 Create a function to ... [Read more...]

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randgeo generates random points and shapes in GeoJSON and WKT formats for use in examples, teaching, or statistical applications. Points and shapes are generated in the long/lat coordinate system and with appropriate spherical geometry; random points are distributed evenly across the globe, and random shapes are sized according to ... [Read more...]

Last week I posted about a modified age bias plot. In this post I began looking more deeply at an alternative plot called the Bland-Altman plot. Below, I describe this plot, demonstrate how to construct it in R, give a mild critique of its ... [Read more...]

R programming has seen a big shift in the last couple of years. All those packages that RStudio have been creating to solve this or that problem suddenly started to cohere into a larger ecosystem of packages. Once it was given a name, the tidyverse, it became possible to start ... [Read more...]

New package! And, as it happens, a effectively a subset or variant of one my oldest packages, RQuantLib. Fairly recently, Peter Caspers started to put together a header-only subset of QuantLib. He called this Quantuccia, and, upon me asking, said that it stands for "little sister" of QuantLib. Very nice. ... [Read more...]