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Data Analysis for the Life Sciences with R

include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.;

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Data Analysis for the Life Sciences with R

include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.;

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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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A Primer in Biological Data Analysis and Visualization Using R

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;

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A Primer in Biological Data Analysis and Visualization Using R

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;

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Introduction to Statistical Data Analysis for the Life Sciences

for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory;

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Statistical Data Analysis Explained

. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the;

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Introduction To Statistical Data Analysi

A Hands-On Approach to Teaching Introductory Statistics Expanded with over 100 more pages, Introduction to Statistical Data Analysis for;

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Quantitative Social Science An Introduction

An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields;

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Quantitative Social Science

An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields;

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An Introduction to Statistics with Python

for scientific computing, offering a powerful environment for statistical data analysis and an interesting alternative to R. The book;

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Humanities Data In R

, and the humanities and social sciences. Humanities Data with R does not presuppose background programming experience. Early chapters take;

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Doing Bayesian Data Analysis

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian;

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Multivariate Analysis for the Biobehavioral and Social Sciences

the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social;

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Data Analytics for the Social Sciences

Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features;

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Data Analytics for the Social Sciences

Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features;

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Textual Data Science with R

Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written;

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Textual Data Science with R

Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written;

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Chemometrics with R

description of the general data analysis paradigm, from exploratory analysis (principal component analysis, self-organizing maps and clustering) to;

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Statistics And Data With R

and Data with R presents an accessible guide to data manipulations, statistical analysis and graphics using R. Assuming no previous knowledge;

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Biostatistics for Epidemiology and Public Health Using R

sciences to students using the R language. Based on the assumption that readers have minimal familiarity with statistical concepts, the author uses;

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Multivariate Analysis for the Behavioral Sciences, Second Edition

by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The;

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Multivariate Analysis for the Behavioral Sciences, Second Edition

by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The;

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Discrete Data Analysis with R

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and;

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Statistics for Psychology Using R

software for statistical computing and data analysis, which is becoming increasingly popular across social and behavioral sciences.;

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Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

how the methods are applied to analyze spatial data in the life sciences. This edition also incorporates the use of R through several packages;

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Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

how the methods are applied to analyze spatial data in the life sciences. This edition also incorporates the use of R through several;

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