دانلود کتاب تحلیل آماری با R برای مبتدیان

So, you’re holding a statistics book. In my humble (and absolutely biased) opinion, it’s not just another statistics book. It’s also not just another R book. I say this for two reasons. First, many statistics books teach you the concepts but don’t give you an easy way to apply them. That often leads to a lack of understanding. Because R is readymade for statistics, it’s a tool for applying (and learning) statistics concepts. Second, let’s look at it from the opposite direction: Before I tell you about one of R’s features, I give you the statistical foundation it’s based on. That way, you understand that feature when you use it — and you use it more effectively. I didn’t want to write a book that only covers the details of R and introduces some clever coding techniques. Some of that is necessary, of course, in any book that shows you how to use a software tool like R. My goal was to go way beyond that. Neither did I want to write a statistics “cookbook” — when-faced-with-problem-category-#152-use-statisticalprocedure-# 346. My goal was to go way beyond that, too. Bottom line: This book isn’t just about statistics or just about R — it’s firmly at the intersection of the two. In the proper context, R can be a useful tool for teaching and learning statistics, and I’ve tried to supply the proper context. Although the field of statistics proceeds in a logical way, I’ve organized this book so that you can open it up in any chapter and start reading. The idea is for you to find the information you’re looking for in a hurry and use it immediately — whether it’s a statistical concept or an Rrelated one. On the other hand, reading from cover to cover is okay if you’re so inclined. If you’re a statistics newbie and you have to use R to analyze data, I recommend that you begin at the beginning.