2327 search results for "time series"

Linear model with time series random component

November 14, 2015
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Linear model with time series random component

What do auto-correlated residuals do to your linear model? For training purposes I wanted to illustrate the dangers of ignoring time series characteristics of the random part of a classical linear regression, and I came up with this animation to do it: I like this, because it shows how easy it is to fit something that looks to be...

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Autocorrelation functions of materially different time series

September 18, 2015
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Autocorrelation functions of materially different time series

Comparing two timeseries-generating blackboxes This question on Cross-Validated got me interested. I gave a fairly inadequate answer and want to explore a few of the issues. Actually, I have a plan for an effective technique which is what I think the original post was asking for, but I need to check out a few things first. The challenge,...

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Reading Financial Time Series Data with R

September 17, 2015
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Reading Financial Time Series Data with R

by Joseph Rickert In a recent post focused on plotting time series with the new dygraphs package, I did not show how easy it is to read financial data into R. However, in a thoughtful comment to the post, Achim Zeileis pointed out a number of features built into the basic R time series packages that everyone ought to...

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Plotting Time Series in R using Yahoo Finance data

August 27, 2015
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Plotting Time Series in R using Yahoo Finance data

by Joseph Rickert I recently rediscovered the Timely Portfolio post on R Financial Time Series Plotting. If you are not familiar with this gem, it is well-worth the time to stop and have a look at it now. Not only does it contain some useful examples of time series plots mixing different combinations of time series packages (ts, zoo,...

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Time Series Analysis: Building a model on non-stationary time series

August 15, 2015
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Time Series Analysis: Building a model on non-stationary time series

In this post I will give a brief introduction to time series analysis and its applications. We will be using the R package astsa which was developed by professor David Stoffer at the University of Pittsburgh. The textbook it accompanies, which is a good read for anyone interested in the topic, can be found in

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Time series outlier detection (a simple R function)

July 8, 2015
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Time series outlier detection (a simple R function)

(By Andrea Venturini) Imagine you have a lot of time series – they may be short ones – related to a lot of different measures and very little time to find outliers. You need something not too sophisticated to solve quickly the mess. This is – very shortly speaking – the typical situation in which you can adopt washer.AV()...

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R financial time series tips everyone should know about

July 7, 2015
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There are many R time series tutorials floating around on the web this post is not designed to be one of them. Instead I want to introduce a list of the most useful tricks I came across when dealing with financial time series in R. Some of the functions presented here are incredibly powerful but unfortunately buried in the

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Intraday time series analysis of the #rstats hashtag on Twitter

June 11, 2015
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Intraday time series analysis of the #rstats hashtag on Twitter

This post is a lecture for IS624 Predictive Analytics, which is part of the CUNY Master’s program in Data Analytics. …Continue reading →

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A new R package for detecting unusual time series

May 30, 2015
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A new R package for detecting unusual time series

The anomalous package provides some tools to detect unusual time series in a large collection of time series. This is joint work with Earo Wang (an honours student at Monash) and Nikolay Laptev (from Yahoo Labs). Yahoo is interested in detecting unusual patterns in server metrics. The basic idea is to measure a range of

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Copulas and Financial Time Series

May 12, 2015
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Copulas and Financial Time Series

I was recently asked to write a survey on copulas for financial time series. The paper is, so far, unfortunately, in French, and is available on https://hal.archives-ouvertes.fr/. There is a description of various models, including some graphs and statistical outputs, obtained from read data. To illustrate, I’ve been using weekly log-returns of (crude) oil prices, Brent, Dubaï and Maya....

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