Tag Archives: R

30 minute video playback DOTNET front end high speed charting vs open source R Java Python OpenGL debate

30 minute video playback DOTNET front end high speed charting vs open source R Java Python OpenGL debate

This was for our Meetup of

.NET WPF front end high speed charting vs Linux ohttp://quantlabs.net/blog/2015/01/other-javascript-and-commercial-charting-reviews-presented-for-potential-trading-environments/pen source R/Java/Python/OpenGL debate
If you have known me and my blog (quantlabs.net/blog), it appears there was lots to talk about regarding those tricky front end applications you use for a potential system with high speed charts. Many options have been presented but it seems that .NET is still the best here with WPF. So, let’s clarify that with particular options ranging from open source R/Python packages to which .NET one. Is that DevExpress, Infragistics, Telerik, Lightnng Charts, or SciCharts. Let’s do ‘er up to learn here. I want to know what you work with.

Questions and other libraries reviews here
http://quantlabs.net/blog/2015/01/other-javascript-and-commercial-charting-reviews-presented-for-potential-trading-environments/


R Code for for charting Daily Crude Oil Futures spread of calendar spread of first two months

This came in from the NYC Contact which could be very very useful for y’all. More to come!

R Code for for charting Daily Crude Oil Futures spread (calendar spread of first two months) .

The chart shows mean reversion and volatility. Extreme contango has happened several times.
Here is the R code:

CL1 = read.csv('http://www.quandl.com/api/v1/datasets/CHRIS/CME_CL1.csv?&trim_start=1983-03-31&trim_end=2014-03-24&sort_order=desc', colClasses=c('Date'='Date'))

CL2 = read.csv('http://www.quandl.com/api/v1/datasets/CHRIS/CME_CL2.csv?&trim_start=1983-03-30&trim_end=2014-03-24&sort_order=desc', colClasses=c('Date'='Date'))

CL_Spread["Date"] = CL1["Date"]

CL_Spread["Settle"] = CL1["Settle"] - CL2["Settle"]

rdate fix(rdate)
plot(CL_Spread$Settle~rdate, type="l",col="blue",axes=F)
box()
axis(1,rdate,format(rdate,"%m-%y"))
axis(2,CL_Spread$Settle)

Which are the best graphical charting packages for R

Interesting uses for Quantmod R package


 

http://www.quantmod.com/examples/charting/

http://www.r-chart.com/2010/06/stock-analysis-using-r.html

http://www.r-chart.com/2010/06/analyze-gold-demand-and-investments.html

http://timelyportfolio.github.io/rCharts_time_series/history.html

http://www.packtpub.com/article/creating-time-series-charts-r

http://www.activeanalytics.co.uk/blog/plottinglivechartswithyahoofinancedataandggplot2inr

http://www.incrediblecharts.com/indicators/williams_percent_r.php

http://quant.stackexchange.com/questions/9465/library-for-interactive-financial-charts

http://www.r-bloggers.com/using-r-and-motion-charts-to-analyze-financial-data/
R Code demoed FinancialChartQuantmod

How to set your R environment with RStudio and DotNet library for C#

How to set your R environment with RStudio and DotNet library for C#

IMPORTANT NOTE:  This train of thought has been abandoned with too many connecting issues with R.NET which makes this entire process useless. Sorry but I cannot proceed as it is not safe nor have the authors of all this software thought of backward incompatibility. This is why you stick with Matlab!!!


Download R and RStudio

Download R for Windows from your nearest location http://www.r-project.org/

Download RStudio IDE http://www.rstudio.com/

You want to add R_HOME to your Windows Environment Variables and add to the path of R.DLL. Mine is located under C:\Program Files\R\R-3.0.2\bin\x64

.NET library for C# (R.NET)

http://rdotnet.codeplex.com/

Download from:

http://rdotnet.codeplex.com/releases

C# Example of R.NET RDotNetExample

 

Intro to R statistic programming and R with Hadoop

Intro to R statistic programming
This is an introduction by Ram of Dawn Analytics. This was presented in a Meetup group at meetup.com/
File can be found at
Free Intro to R statistic programming with complete download of Microsoft Powerpoint and accompanying R script files #rstats #free

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