'Www r' presentation slideshows

Multivariate Data Analysis with T MVA

Multivariate Data Analysis with T MVA. Peter Speckmayer ( * ) (CERN) LCD Seminar, CERN, April 14, 2010. ( * ) On behalf of the present core developer team: A. Hoecker , P. Speckmayer, J. Stelzer , J. Therhaag , E. v. Toerne , H . Voss

1.11k views • 91 slides

IP ComVICS , Brno, 28 June 2013 Nuno Escudeiro, nfe@isep.ipp.pt

IP ComVICS , Brno, 28 June 2013 Nuno Escudeiro, nfe@isep.ipp.pt. Outline Introduction to text mining Text modeling , bag -of- words , TFxIDF Text processing Tools for text mining R language , tm package Case study Hands-on contest. INTRODUCTION.

523 views • 39 slides

> An Introduction to R

> An Introduction to R. [1] Tyler K. Perrachione [4] Gabrieli Lab, MIT [7] 28 June 2010 [10] tkp@mit.edu. What is R?. A suite of operators for calculations on arrays, in particular matrices, A large, coherent, integrated collection of intermediate tools for data analysis,

526 views • 35 slides

Table of Contents

Table of Contents. Table of Contents. October 2012. Look at the set of points. (1,5) (2,6) (3,7) (4,__) 1a. What number would go in the blank? Plot the points. 1b. What are some other points that would fit the pattern? Plot them. (___,____) (____,____) (_____,_____)

387 views • 31 slides

Table of Contents

Table of Contents. Table of Contents. October 2012. Look at the set of points. (1,5) (2,6) (3,7) (4,__) 1a. What number would go in the blank? Plot the points. 1b. What are some other points that would fit the pattern? Plot them. (___,____) (____,____) (_____,_____)

363 views • 30 slides

Table of Contents

Table of Contents. September 2012. October 2012. Look at the set of points. (1,5) (2,6) (3,7) (4,__) 1a. What number would go in the blank? Plot the points. 1b. What are some other points that would fit the pattern? Plot them. (___,____) (____,____) (_____,_____)

353 views • 30 slides

Numerical Summary measures

Numerical Summary measures. Ch 3, Principle of Biostatistics Pagano & Gauvreau Prepared by Yu-Fen Li. Numerical Summary measures. Tables and graphs are extremely useful for organizing, visually summarizing , and displaying data.

502 views • 25 slides

The Insulation Choice Made Easy

303 views • 20 slides

R meets the Workplace - Embedding R into Excel and making it more accessible Erich Neuwirth University of Vienna erich.

R meets the Workplace - Embedding R into Excel and making it more accessible Erich Neuwirth University of Vienna erich.neuwirth@univie.ac.at. R meets the Workplace - Embedding R into Excel and making it more accessible Erich Neuwirth University of Vienna erich.neuwirth@univie.ac.at.

316 views • 17 slides

R meets the Workplace - Embedding R into Excel and making it more accessible Erich Neuwirth University of Vienna erich.

R meets the Workplace - Embedding R into Excel and making it more accessible Erich Neuwirth University of Vienna erich.neuwirth@univie.ac.at. R meets the Workplace - Embedding R into Excel and making it more accessible Erich Neuwirth University of Vienna erich.neuwirth@univie.ac.at.

357 views • 17 slides

Alternative text for elementary statistics

Alternative text for elementary statistics. www.statsoft.com/textbook/stathome.html www.statsoft.com/textbook/stathome.html Elementary Concepts Basic Statistics. Introduction to R. Autumn 2007 Petter Mostad mostad@chalmers.se. What is R? .

253 views • 15 slides

Robust

Robust. Problem. Even small deviations from normality render the traditional statistically techniques inaccurate . Even small deviations from normality destroys power (our ability to find true relationships or association between variables).

271 views • 8 slides

Spread the Word to End the Word

398 views • 7 slides

Mental Retardation

Mental Retardation. Video. FACTS. Mental retardation is a diagnosis that can only be made in people under 18 years of age. Intellectual Disability is now the term more commonly used for this diagnosis.

593 views • 6 slides

Interesting Interval Discovery on Spatiotemporal Datasets

Interesting Interval Discovery on Spatiotemporal Datasets. C sci 8715 Fall 2013. Sub-path of Abrupt Change. Spatial sub-path of Abrupt Change[1] Sharp change in vegetation cover Transition between ecological zones ( ecotones ) Vulnerable to climate change

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A bstract

Rapid, On-site Identification of Oil Contaminated Soils Using Visible Near-Infrared Diffuse Reflectance Spectroscopy. Chakraborty, S. 1 , D. Weindorf 1 , H.M. Selim 1 , B. Li 2 , C.L.S. Morgan 3 , Y. Ge 3 , and J. Galbraith 4

168 views • 1 slides