Matt在R语言、SQL、C++、Ruby、Fortran和JavaScript等语言方面具有丰富的编程经验。他喜欢把自己的热情融入程序设计中,从逻辑问题求解和数据科学中找到乐趣。从董事会会议室到教室,他总是能找到合适的方法来与不同学科和不同领域的团队建立起良好的合作关系,他总是能把复杂的思想和项目变得容易理解和解决。
The R Series(共27册), 这套丛书还有 《Statistical Computing with R (2/e)》《Hands-On Machine Learning with R》《Multiple Factor Analysis by Example Using R》《Graphical Data Analysis with R》《Using R for Numerical Analysis in Science and Engineering》 等。
It now often involves analyzing large datasets and testing hypotheses through a set of statistical tests. Along this line, R is one of the most widely used programming languages for data analysis and statistics. The goal of this book is to give a short introduction to object-oriented ...
R语言高级程序设计 -《Advanced R》中文版(预览版)[qq群 485732827].pdf,2015 版 R 语言高级程序设计 ——《Advanced R》中文版 原著者:Hadley Wickham 译者:刘宁 此为本书预览版,只包含目录和第一部分“基础知识” (1- 9 章) ,帮助读者了解本书的内容和质量。有需要的
It further implements aclass-agnostic approach to R programming, supporting base R,tibble,grouped_df(tidyverse),data.table,sf,units,pseries,pdata.frame(plm),xts/zooand variable labels. Key Features: Advanced statistical programming: A full set of fast statistical functions supporting grouped and wei...
R courses on basic R, advanced R, statistical machine learning with R, text mining with R, spatial modelling with R and R package building Waw, our course list for teaching R is getting bigger and bigger. We have now courses on basic, R, advanced R, R package building, statistical machi...
This specialization also linear models for data science, starting from understanding least squares from a linear algebraic and mathematical perspective, to statistical linear models, including multivariate regression using the R programming language. These courses will give learners a firm foundation in the...
R for everyone: advanced analytics and graphics There are many books dealing with R programming and applications of R for statistical analysis. In this book, however, Jared P. Lander provides a combinati... M Minkoff - 《Computing Reviews》 被引量: 0发表: 2014年 R语言 : 实用数据分析和可视...
professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. ...
There is a corresponding development for concave functions as well. Given a convex set\(S\)as above, and a concave function\(g:(\mathbf{R}^n\times\mathbf{R}^m)\rightarrow(\mathbf{R}\cup-\infty)\), the function \[f:\mathbf{R}\rightarrow(\mathbf{R}\cup-\infty), \quad f(x) ...