July 2017

constants 0.0.1

July 18, 2017 | Iñaki Úcar

The new constants package is available on CRAN. This small package provides the CODATA 2014 internationally recommended values of the fundamental physical constants (universal, electromagnetic, physicochemical, atomic…), provided as symbols for direct use within the R language. Optionally, the values with errors and/or the values with units are also provided ... [Read more...]

The Value of #Welcome

July 18, 2017 | Stefanie Butland

I’m participating in the AAAS Community Engagement Fellows Program (CEFP), funded by the Alfred P. Sloan Foundation. The inaugural cohort of Fellows is made up of 17 community managers working in a wide range of scientific communities. This is cross-posted from the Trellis blog as part of a series of ...
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R Programming Notes – Part 2

July 17, 2017 | atmathew

In an older post, I discussed a number of functions that are useful for programming in R. I wanted to expand on that topic by covering other functions, packages, and tools that are useful. Over the past year, I have been working as an R programmer and these are some ... [Read more...]

Investigating Cryptocurrencies (Part II)

July 17, 2017 | C

This is the second in a series of posts designed to show how the R programming language can be used with cryptocurrency related data sets.  A number of R packages are great for analyzing stocks and bonds and similar financial instruments.  These can also be applied to working with cryptocurrencies.  ...
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Introduction to Rolling Volatility

July 17, 2017 | R Views

This is the second post in our series on portfolio volatility, variance and standard deviation. If you missed the first post and want to start at the beginning with calculating portfolio volatility, have a look here - Introduction to Volatility. We will use three objects created in that previous post, ... [Read more...]

No time wasting

July 17, 2017 | Blog

Ensuring your analytic IP is given the attention it deserves It is now widely recognised that data is the key to making informed business decisions. As such, models and ...
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Volatility modelling in R exercises (Part-4)

July 17, 2017 | Bassalat Sajjad

This is the fourth part of the series on volatility modelling. For other parts of the series follow the tag volatility. In this exercise set we will explore GARCH-M and E-GARCH models. We will also use these models to generate rolling window forecasts, bootstrap forecasts and perform simulations. Answers to ... [Read more...]

Structural Changes in Global Warming

July 17, 2017 | Giorgio Garziano

In time series analysis, structural changes represent shocks impacting the evolution with time of the data generating process. That is relevant because one of the key assumptions of the Box-Jenkins methodology is that the structure of the data generating process does not change over time. How can structural changes be ...
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Global convergence in male life expectancy at birth

July 16, 2017 | Ilya Kashnitsky

In the modern history, the world has seen unprecedented decrease in human mortality – the result of the Demographic Transition. Initially, the improvements occurred only in the most developed societies, and by the mid XX century the world population was roughly divided in two parts according to mortality patterns (see the ...
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Investigating Cryptocurrencies using R

July 15, 2017 | C

Cryptocurrencies are a fascinating phenomenon and excellent data source for analysis with R.  This post will introduce how to get a list of available currencies into R.  Wikipedia maintains a page with a list of cryptocurrencies.  These can be read from HTML into a data frame.library(httr)library(XML)...
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