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An Introduction to Data Analysis using Aggregation Functions in R

This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental;

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Aggregation Functions

Aggregation is the process of combining several numerical values into a single representative value, and an aggregation function performs;

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Introduction To Time Series Analysis & F

featuring PowerPoint(R) slides, data sets, and select solutions to the problems Introduction to Time Series Analysis and Forecasting, Second;

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An Introduction to R for Spatial Analysis and Mapping

in spatial analysis and mapping.This book provides an introduction to the use of R for spatial statistical analysis, geocomputation and;

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Using R for Modelling and Quantitative Methods in Fisheries

software R as a programming tool. Some knowledge of R is assumed, as this is a book about using R, but an introduction to the development and;

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Using R for Modelling and Quantitative Methods in Fisheries

software R as a programming tool. Some knowledge of R is assumed, as this is a book about using R, but an introduction to the development and;

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Oceanographic Analysis with R

more widely-used tools of the field such as MATLAB. Kelley provides a general introduction to R before introducing the 'oce' package. This;

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Oceanographic Analysis with R

more widely-used tools of the field such as MATLAB. Kelley provides a general introduction to R before introducing the 'oce' package. This;

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Aggregation Functions in Theory and in Practice

to their use in applications. Aggregation functions are usually defined as those functions that are monotonic and that satisfy the unanimity;

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Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods;

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Applied Production Analysis

. Results that were scattered throughout professional journals and monographs are now gathered into an integrated approach using a common notation;

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A Primer in Biological Data Analysis and Visualization Using R

in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data;

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A Primer in Biological Data Analysis and Visualization Using R

in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data;

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Using R for Data Analysis in Social Sciences

substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist;

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R Data Analysis Cookbook -

programming is assumed. What You Will Learn * Acquire, format and visualize your data using R * Using R to perform an Exploratory data analysis;

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Applied Meta-Analysis with R and Stata

analysis step by step using appropriate R/Stata functions, which enables readers to gain an understanding of meta-analysis methods and R/Stata;

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Applied Meta-Analysis with R and Stata

analysis step by step using appropriate R/Stata functions, which enables readers to gain an understanding of meta-analysis methods and R/Stata;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied;

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Univariate Bivariate & Multivariate Stat

, behavioral, and natural sciences, Univariate, Bivariate, and Multivariate Statistics Using R offers an easy-to-use guide for performing data analysis;

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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

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

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Probability with R

of computing; an introduction to bivariate discrete distributions together with the R functions used to handle large matrices of conditional;

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Biostatistics with R: An Introduction to Statistics Through Biological Data

book is an introduction to Bayesian analysis. This author discusses basic statistical analysis through a series of biological examples using;

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Computational Statistics

Suitable for a compact course or self-study, Computational Statistics: An Introduction to R illustrates how to use the freely available R;

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Statistical Methods for Hospital Monitoring with R

-needed guidance on data analysis using R for the growing number of scientists in hospital departments who are responsible for producing reports;

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