Data Analysis with R - Second Edition > PACKT 원서리스트

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
Use bootstrapping and an alternative to parametric hypothesis testing
Perform regression to predict continuous variables
Apply powerful classification methods to predict categorical data
Perform time series forecasting with Exponential Smoothing methods
Handle missing data gracefully using multiple imputation
Identify and manage problematic data points
Use regular expressions to clean data sets
Employ parallelization and Rcpp to scale your analyses to larger data
Put best practices into effect to make your job easier and facilitate reproducibility