文件名称:
Data.Analysis.with.R.17852881
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上传时间: 2016-01-12
详细说明： Key Features Load, manipulate and analyze data from different sources Gain a deeper understanding of fundamentals of applied statistics A practical guide to performing data analysis in practice What you will learn Navigate the R environment Describe and visualize the behavior of data and relationships between data Gain a thorough understanding of statistical reasoning and sampling Employ hypothesis tests to draw inferences from your data Learn Bayesian methods for estimating parameters Perform regression to predict continuous v ariables Apply powerful classification methods to predict categorical data Handle missing data gracefully using multiple imputation Identify and manage problematic data points Employ parallelization and Rcpp to scale your analyses to larger data Put best practices into effect to make your job easier and facilitate reproducibility Table of Contents Chapter 1: RefresheR Chapter 2: The Shape of Data Chapter 3: Describing Relationships Chapter 4: Probability Chapter 5: Using Data to Reason About the World Chapter 6: Testing Hypotheses Chapter 7: Bayesian Methods Chapter 8: Predicting Continuous Variables Chapter 9: Predicting Categorical Variables Chapter 10: Sources of Data Chapter 11: Dealing with Messy Data Chapter 12: Dealing with Large Data Chapter 13: Reproducibility and Best Practices ...展开收缩
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