2360 search results for "time series"

Time Series Analysis in ArcGIS

July 15, 2016
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Time Series Analysis in ArcGIS

In this post I will introduce another toolbox I created to show the functions that can be added to ArcGIS by using R and the R-Bridge technology.In this toolbox I basically implemented the functions I showed in the previous post about time series analy...

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Time series charts by the Economist in R using Plotly

July 11, 2016
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In this post we’ll recreate two info graphics created by The Economist. The code uses the new Plotly 4.0 syntax. Note: Plotly 4.0 has not been officially released yet. You can download the dev version using Volume of google searches related to immigrating to Canada AIDS related Visualization

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Time Series Analysis Using Max/Min… and some Neuroscience.

June 6, 2016
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Time Series Analysis Using Max/Min… and some Neuroscience.

Introduction Time series has maximum and minimum points as general patterns. Sometimes the noise present on it causes problems to spot general behavior. In this post, we will smooth time series -reducing noise- to maximize the story that data has to tell us. And then, an easy formula will be applied to find and plot max/min...

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zoo time series exercises

May 30, 2016
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zoo time series exercises

The zoo package consists of the methods for totally ordered indexed observations. It aims at performing calculations containing irregular time series of numeric vectors, matrices & factors. The zoo package interfaces to all other time series packages on CRAN. This makes it easy to pass the time series objects between zoo & other time series

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Additive modelling global temperature time series: revisited

March 25, 2016
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Additive modelling global temperature time series: revisited

Quite some time ago, back in 2011, I wrote a post that used an additive model to fit a smooth trend to the then-current Hadley Centre/CRU global temperature time series data set. Since then the media and scientific papers have been full of reports of record warm temperatures in the past couple of years, of controversies (imagined) regarding...

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Analysis of Xbox Usage Trends with R: Time Series Decompositions

February 23, 2016
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Analysis of Xbox Usage Trends with R: Time Series Decompositions

by Daniel Moore Director of Applied Statistics Engineering, Console Development Microsoft In Xbox Hardware, we are interested in the various ways that our hardware is used, and we are especially interested in how that usage changes over time. We employ several several time series analysis techniques that are helpful in getting a holistic view of usage of the Xbox...

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Workshop on survival and time series analysis in empirical SE

February 12, 2016
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In January the material in my book on Empirical software engineering using R had its first exposure to professional software developers at a one day workshop (there was a rerun last week; slides here). The sessions were both fully booked, but as often happens on half turned up, around 15 at each workshop. A couple

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An Introduction to Time Series with JSON Data

February 9, 2016
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An Introduction to Time Series with JSON Data

For this post, I wanted to take the data analysis process in a different direction. Normally, an R analysis starts with data from a comma-separated Excel file (.csv) or a tab-separated file (.txt). However, online data is often formatted in JSON, which stands for JavaScript Online Notation. JSON has different forms, but for this data,

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Better prediction intervals for time series forecasts

January 29, 2016
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2016-01-31 15_57_13-Clipboard

Forecast Combination I’ve referred several times to this blog post by Rob Hyndman in which he shows that a simple averaging of the ets() and auto.arima() functions in his {forecast} R package not only out performs ets() and auto.arima() individually (in the long run, not every time), they outperform nearly every method that was entered in the M3...

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Time series analysis with R: Testing stuff with NetAtmo data

December 21, 2015
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Time series analysis with R: Testing stuff with NetAtmo data

I've got a NetAtmo weather station. One can download the measurements from its web interface as a CSV file. I wanted to give time series analysis with the extraction of seasonal components ('decomposition') a try, so I thought it would be a good opportunity to use the temperature measurements of my weather station. The data is available.To...

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