Multivariate analysis

Results: 3446



#Item
751Principal component analysis / Singular value decomposition / Matrix / Spreadsheet / Factor analysis / Test / Statistics / Multivariate statistics / Data analysis

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

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Source URL: cran.gis-lab.info

Language: English - Date: 2001-02-09 10:33:01
752Principal component analysis / Singular value decomposition / Matrix / Spreadsheet / Factor analysis / Test / Statistics / Multivariate statistics / Data analysis

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

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Source URL: cran.fyxm.net

Language: English - Date: 2001-02-09 10:33:01
753Cluster analysis / Multivariate statistics / K-means clustering / Outlier / Random forest / Anomaly detection / Medoid / K-medoids / Principal component analysis / Statistics / Data analysis / Data mining

R and Data Mining: Examples and Case Studies 1 Yanchang Zhao

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Source URL: cran.ma.imperial.ac.uk

Language: English - Date: 2013-04-26 09:13:28
754Data analysis / Consensus clustering / K-means clustering / Clustering high-dimensional data / Oracle Data Mining / DBSCAN / Hierarchical clustering / Data stream clustering / Fuzzy clustering / Statistics / Cluster analysis / Multivariate statistics

R Reference Card for Data Mining by Yanchang Zhao, , January 3, 2013 The latest version is available at http://www.RDataMining.com. Click the link also for document R and Data Mining: Examples and

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Source URL: cran.biodisk.org

Language: English - Date: 2013-01-05 06:05:58
755Variables / Elementary mathematics / Multivariate statistics / Econometrics / SPSS / R / Object / Linear discriminant analysis / Function / Statistics / Mathematics / Data types

Statistics with R and S-Plus tutorial presented at the Third Workshop on Experimental Methods in Language Acquisition Research (EMLAR) Hugo Quen´ e

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Source URL: cran-r.c3sl.ufpr.br

Language: English
756Variables / Elementary mathematics / Multivariate statistics / Econometrics / SPSS / R / Object / Linear discriminant analysis / Function / Statistics / Mathematics / Data types

Statistics with R and S-Plus tutorial presented at the Third Workshop on Experimental Methods in Language Acquisition Research (EMLAR) Hugo Quen´ e

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Source URL: cran.wustl.edu

Language: English - Date: 2006-11-10 11:34:58
757Cluster analysis / Multivariate statistics / K-means clustering / Outlier / Random forest / Anomaly detection / Medoid / K-medoids / Principal component analysis / Statistics / Data analysis / Data mining

R and Data Mining: Examples and Case Studies 1 Yanchang Zhao

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Source URL: www.vps.fmvz.usp.br

Language: English - Date: 2013-04-26 09:13:28
758Estimation theory / R / Linear regression / Principal component analysis / Plot / Multivariate adaptive regression splines / Generalized additive model for location /  scale and shape / Statistics / Regression analysis / Econometrics

Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University.

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Source URL: cran.ma.imperial.ac.uk

Language: English - Date: 2008-01-23 03:36:16
759Data analysis / Consensus clustering / K-means clustering / Clustering high-dimensional data / Oracle Data Mining / DBSCAN / Hierarchical clustering / Data stream clustering / Fuzzy clustering / Statistics / Cluster analysis / Multivariate statistics

R Reference Card for Data Mining by Yanchang Zhao, , January 3, 2013 The latest version is available at http://www.RDataMining.com. Click the link also for document R and Data Mining: Examples and

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Source URL: cran.stat.nus.edu.sg

Language: English - Date: 2013-01-05 06:05:58
760Regression analysis / Graphical models / Structural equation models / Stata / Structural equation modeling / Factor analysis / Path analysis / Confirmatory factor analysis / Latent variable / Statistics / Psychometrics / Multivariate statistics

Preface What is assumed? There are two ways of learning about structural equation modeling (SEM). The one I have chosen for this book is best described by an old advertising tag for a sport shoe company: “Just do it”

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Source URL: www.stata-press.com

Language: English - Date: 2013-08-14 10:05:28
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