Learning Statistics with R
网页Chapter 1: Why do we learn statistics? Psychology and statistics. Statistics in everyday life. Some examples where intuition is misleading, and statistics is critical. Chapter 2: A brief introduction to research design. Basics of psychological measurement. Reliability and validity of a measurement. Experimental and non-experimental design.
Modern Statistics with R
网页2024年7月1日 · The aim of Modern Statistics with R is to introduce you to key parts of the modern statistical toolkit. It teaches you: Data wrangling - importing, formatting, reshaping, merging, and filtering data in R. Exploratory data analysis - using visualisations and multivariate techniques to explore datasets.
Data Analysis with R Specialization - Coursera
网页Perform hypothesis tests, interpret statistical results (e.g., p-values), and report the results of your analysis to clients. Fit, examine, and utilize regression models to examine relationships between multiple variables. Install and use R and RStudio.
Statistics and R | Harvard University
网页We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R. We provide R programming examples in a way that will help make the connection between …
Introduction to Statistics Using the R Programming Language
网页Using the R programming language is free! That’s a significant advantage to relatively expensive statistical tools, such as SAS, STATA, and SPSS. In this article, I give you a brief introduction to the strengths of the R programming language by applying basic statistical concepts to a real dataset using R functions.
R: The R Project for Statistical Computing
网页2024年2月29日 · R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. To download R, please choose your preferred CRAN mirror.
Introduction to statistics with R | Introduction to Data Science
网页It covers concepts from probability, statistical inference, linear regression and machine learning and helps you develop skills such as R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux shell, version control with GitHub, and reproducible document preparation with R markdown.
Learn Statistics with R - Codecademy
网页Learn about the statistics used to run hypothesis tests. Then, learn how to use R to run different t-tests that compare distributions.
Statistics with R
网页Chapter 1: Preparing R Environment. Chapter 2: Understanding R Code. Chapter 3: Comparing Group Means using t-test. Chapter 4: Comparing Group Means using ANOVA. Learn to perform statistical methods using R language.
Statistical Learning with R - Stanford Online
网页The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines.
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