The 'R' Statistics library: research applications
Date: Mon, 17 September 12:30pm - 1:15pm
Location: ECU Joondalup, Room 1.447
Presenters: Professor David Allen and Dr Abhay Kumar Singh
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This presentation demonstrates "R", a free statistical computing and graphics program with facilities for data manipulation, calculation and graphical display.
This demonstration will provide a brief introduction to “R”.
R is an open source programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians for developing statistical software and data analysis.
R is an implementation of the S programming language combined with lexical scoping semantics inspired by Scheme. S was created by John Chambers while at Bell Labs. R was created by Ross Ihaca and Robert Gentleman at the University of Auckland, New Zealand. R is now developed by the R Development Core Team, of which Chambers is a member. R is named partly after the first names of the first two R authors (Robert Gentleman and Ross Ihaka), and partly as a play on the name of S.
In this demonstration we will introduce the framework in which R operates, how to import data into R, including the use of ‘R Commander’ and then demonstrate some of R’s capabilities using finance data sets and some of R’s graphical and statistical analysis routines. One of the great strengths of R is the number of custom built packages, now numbering in excess of 2700 and growing exponentially. Even Google and Facebook make use of R’s capabilities for their analytics.
Professor David Allen
David E. Allen is Professor of Finance at Edith Cowan University, Perth, Western Australia. He has an Honours degree in Economics from St. Andrews University in Scotland (1970), an M.Phil in the History of Economic thought completed at Leicester University in England (1976) and a Ph.D in Finance from the University of Western Australia (1996). He is a Fellow (F Fin) of the Financial Services Institute of Australia (FINSIA).He is the author of three monographs and over 80 refereed publications on a diverse range of topics covering corporate financial policy decisions, asset pricing, business economics, funds management and performance bench-marking, volatility modelling and hedging, and market microstructure and liquidity. His current research focus is predominantly on risk modelling.
Dr Abhay Kumar Singh
Dr Abhay Kumar Singh is a post doctoral research fellow to the ARC Discovery Grant: New methods for modelling and forecasting risk (DP110102884) and a research fellow to the School of Accounting Finance & Economics, researching statistical modelling of various financial risk models required in the research project. Current research area’s include; Financial Risk-Modelling and Quantification, Extreme Tail Distributions and Applications of Information Systems in Finance. Research interests are Financial Risk Modelling, Extreme Value Risk Models and Portfolio Optimisation.