Analytical Methods for Social Research(共17册), 这套丛书还有 《Spatial Models of Parliamentary Voting》《Ecological Inference》《Inferential Network Analysis》《Spatial Analysis for the Social Sciences》《Essential Mathematics for Political and Social Research》 等。
Statistical Data Analysis using RSamuel, Barsanelli Costa
Prepare the data for analysis Clean up dates 既然天气数据集遵循了整洁的数据原则,下一步就是为分析做好准备。我们将首先合并年、月和日列,并将结果字符列重新编码为日期。我们可以使用base R、stringr和lubridate组合来完成这项任务。 Load the stringr and lubridate packages Use stringr'sstr_replace()to ...
An introduction to categorical data analysis Using R精品.pdf,An Introduction to Categorical Data Analysis Using R Brett Presnell March 28, 2000 Abstract This document attempts to reproduce the examples and some of the exercises in An Introduction to Cate
coursera-exploratory-data-analysis-course-project-1(参考答案) Exploratory Data Analysis Quiz 2 (Week 2的参考答案 ) 图形分析的五大原则Principles of Analytic Graphics 1.Show comparisons 对比。包括同类的对比、不同时期的对比、不同的占比等等。
An Introduction to Categorical Data Analysis Using R Brett Presnell March 28, 2000 Abstract This document attempts to reproduce the examples and some of the exercises in An Introduction to Categorical Data Analysis [1] using the R statistical programming environment. Chapter 0 About This Document ...
使用基础的R命令实现快速聚集 # apply tapply(hflights$Diverted, hflights$DayOfWeek, mean) plyr包的ddply函数 library(plyr) ddply(hflights,.(DayOfWeek),function(x) mean(x$Diverted)) plyr包的.函数为用户提供了一种方便的引用变量(名称)的方法。
This repo was built for my ongoing project of publishing an introductory Chinese textbook titledData Analysis Using R for Social and Behavioral Sciences. I'm not familiar with theBookdownstyle yet. Once I figure it out, I will put all the materials into a bookdown repo. ...
Using R for biostatistics They begin with a background, including a description of the example data, forming the null hypothesis, followed by implementing data analysis using R ... SH Wen - 《Biometrics Journal of the Biometric Society An International Society Devoted to the Mathematical & Statist...
It provides an execution engine for solutions built using Microsoft R packages, extending open source R with support for high-performance analytics, statistical analysis, machine learning scenarios, and massively large datasets. Value-added functionality is provided through proprietary packages that install...