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Multiple Factor Analysis by Example Using R

quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings;

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Exploratory Multivariate Analysis by Example Using R

of scientific disciplines and implemented using an R package developed by the authors"--Provided by publisher.;

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A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open;

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Statistical Approaches To Measurement Invariance

in confirmatory factor analysis are examined along with estimation and fit evaluation and an example using WAIS-R data. The factor analysis model for;

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Statistical Approaches To Measurement Invariance

in confirmatory factor analysis are examined along with estimation and fit evaluation and an example using WAIS-R data. The factor analysis model for;

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Advanced R Statistical Programming and Data Models

multiple examples using R to achieve results, and concludes with a case study. Written by Matt and Joshua F. Wiley, Advanced R Statistical;

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Exploratory Multivariate Analysis by Example Using R

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four;

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Exploratory Multivariate Analysis by Example Using R

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four;

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Time Series Analysis and Forecasting by Example

the fundamental techniques in time series analysis using various examples. By introducing necessary theory through examples that showcase the;

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Statistics for Psychology Using R

A unique textbook introducing and demonstrating the use of R in psychology. Statistics for Psychology Using R comprehensively covers;

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Quantitative Methods in Archaeology Using R

Quantitative Methods in Archaeology Using R is the first hands-on guide to using the R statistical computing system written specifically;

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Hands-On Exploratory Data Analysis with R

Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills Key Features Speed up your;

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Data Analysis Using Hierarchical Generalized Linear Models with R

within the field and, using data examples, illustrates how to analyse various kinds of data using R. It provides a likelihood approach to;

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Data Analysis Using Hierarchical Generalized Linear Models with R

within the field and, using data examples, illustrates how to analyse various kinds of data using R. It provides a likelihood approach to;

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An Easy Guide to Factor Analysis

Factor analysis is a statistical technique widely used in psychology and the social sciences. With the advent of powerful computers, factor;

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Textual Data Science with R

package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method;

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Textual Data Science with R

package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method;

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Cambridge Manuals in Archaeology

Quantitative Methods in Archaeology Using R is the first hands-on guide to using the R statistical computing system written specifically;

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Comparative Approaches to Using R and Python for Statistical Data Analysis

visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression''--;

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Latent Variable Modeling with R

This book demonstrates how to conduct latent variable modeling (LVM) in R by highlighting the features of each model, their specialized;

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Latent Variable Modeling with R

This book demonstrates how to conduct latent variable modeling (LVM) in R by highlighting the features of each model, their specialized;

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Confirmatory Factor Analysis

research. In this volume, J. Micah Roos and Shawn Bauldry introduce a popular approach to measurement: Confirmatory Factor Analysis (CFA). As the;

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Clinical Trial Data Analysis Using R and SAS

. -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation;

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Clinical Trial Data Analysis Using R and SAS

years' experience in biostatistical research and clinical development. The authors develop step-by-step analysis code using appropriate R;

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ODE/PDE Analysis of Multiple Myeloma

. Rather, the presentation is through detailed examples that the reader/researcher/analyst can execute on modest computers using the R routines;

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ODE/PDE Analysis of Multiple Myeloma

. Rather, the presentation is through detailed examples that the reader/researcher/analyst can execute on modest computers using the R routines;

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Statistics and Data Analysis for Microarrays Using R and Bioconductor

Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and;

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