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Multivariate analysis
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#	Item
461	Statistics with R and S-Plus tutorial presented at the Third Workshop on Experimental Methods in Language Acquisition Research (EMLAR) Hugo Quen´ e Add to Reading List Source URL: rweb.quant.ku.edu Language: English - Date: 2006-11-10 11:34:58 Variables Elementary mathematics Multivariate statistics Econometrics SPSS R Object Linear discriminant analysis Function Statistics Mathematics Data types
462	Statistics with R and S-Plus tutorial presented at the Third Workshop on Experimental Methods in Language Acquisition Research (EMLAR) Hugo Quen´ e Add to Reading List Source URL: cran.cc.uoc.gr Language: English - Date: 2006-11-10 11:34:58 Variables Elementary mathematics Multivariate statistics Econometrics SPSS R Object Linear discriminant analysis Function Statistics Mathematics Data types
463	R reference card, by Jonathan Baron Parentheses are for functions, brackets are for indicating the position of items in a vector or matrix. (Here, items with numbers like x1 are user-supplied variables.) Miscellaneous Add to Reading List Source URL: cran.es.r-project.org Language: English - Date: 2001-02-09 10:33:01 Principal component analysis Singular value decomposition Matrix Spreadsheet Factor analysis Test Statistics Multivariate statistics Data analysis
464	Statistics with R and S-Plus tutorial presented at the Third Workshop on Experimental Methods in Language Acquisition Research (EMLAR) Hugo Quen´ e Add to Reading List Source URL: mirror.fcaglp.unlp.edu.ar Language: English Variables Elementary mathematics Multivariate statistics Econometrics SPSS R Object Linear discriminant analysis Function Statistics Mathematics Data types
465	1 An introduction to multivariate analysis. Lecture 2: Exploring and presenting dependencies and group membership Add to Reading List Source URL: www.pisces-conservation.com Language: English - Date: 2007-07-06 08:41:38 Linear discriminant analysis Multicollinearity Regression analysis Correspondence analysis Linear regression Multivariate analysis Analysis Book:Machine Learning - The Complete Guide Statistics Multivariate statistics Ordination
466	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: cran.cc.uoc.gr Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
467	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.um.ac.ir Language: English Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
468	Statistics with R and S-Plus tutorial presented at the Third Workshop on Experimental Methods in Language Acquisition Research (EMLAR) Hugo Quen´ e Add to Reading List Source URL: cran.csiro.au Language: English - Date: 2006-11-10 11:34:58 Variables Elementary mathematics Multivariate statistics Econometrics SPSS R Object Linear discriminant analysis Function Statistics Mathematics Data types
469	Replicated Case Studies for Investigating Quality Factors in Object-Oriented Designs Lionel C. Briand Jürgen Wüst Add to Reading List Source URL: www.sdmetrics.com Language: English - Date: 2002-12-27 10:15:21 Multivariate statistics Statistical methods Categorical data Multicollinearity Linear regression Logistic regression Mahalanobis distance Stepwise regression Univariate Statistics Regression analysis Econometrics
470	R reference card, by Jonathan Baron Parentheses are for functions, brackets are for indicating the position of items in a vector or matrix. (Here, items with numbers like x1 are user-supplied variables.) Miscellaneous Add to Reading List Source URL: cran.ms.unimelb.edu.au Language: English - Date: 2001-02-09 10:33:01 Principal component analysis Singular value decomposition Matrix Spreadsheet Factor analysis Test Statistics Multivariate statistics Data analysis

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