Statistical Analysis with R For Dummies (For Dummies (Computer/Tech))

First of all, this is NOT a good book to learn R if you are a beginner. It assumes a basic knowledge of R but still goes through a lot of the basics. It does not attempt to teach a broad coverage of the language. For example, it has nothing on flow control, which makes sense since this deals with the statistical packages already in R so it doesn't cover how to actually write your own programs in R(if you want to do that, "R For Dummies" is an excellent introduction). So, this book sticks to what it is advertised to do: statistics. Does it cover an enormous amount of topics? No, after all, statistics is very vast. It covers such things as linear models, one and two way anova and contrasts in anova, for example. It doesn't cover topics in psychometry(which R can handle very nicely), like Cronbach's Alpha. So, this book is not encyclopedic, but you can see what it covers and what it doesn't before you buy it. No one source is going to give you everything in the R language. This book is an excellent source for what it does cover. Don't assume that just because it is part of the "For Dummies" series that it is super basic. There are many detailed, intricate books in the series. The series also includes many other books on R so, you might consider starting a collection!One other good point with this book: it is very recent so it includes the use of R Studio(as well as how to install it) which makes using R a bit more pleasant.

This is really well written and easy to read. Very helpful re-introduction after not taking stats for a few years!

The book has a noble goal of teaching statistical analysis with R programming. The book nicely demonstrates the graphing capabilities of the software. The statistics reviewed are normal distribution, basic z-tests, t-tests, , regression, and some probability. I am not sure that this is a good book for beginning reader who is learning statistics or for someone starting to learn R. More excercises, databases, and simpler code are needed for the text to be a useful to a beginner. I had some problems with the code as written on page 151. If I moved the geom_segment code to right after the geom_line code I stopped getting error messages in the console. I might add be very careful with all the + signs and their location in the arguments for ggplot for this code sample. If the reader selectively reads through the codes and examples there are many valuable techniques, functions, and graphing to be learned with this text. I found the graphing of the distributions of degrees of freedom for t very helpful.

This book explained complex statistical concepts with many examples using R. I had studied statistics at an engineering university and now I finally can spend my time formulating the problems instead of working them out on my scientific calculator.

Loved this book. Helped my survive a grad school level course.

Good source of basic information.

If you've taken any basic intro stats course, in combination with even learning a little R- this book will be WAY too simple for you. I was hoping for modeling building, but it barely touches on that (and not until the end). If you have no understanding of R, and little statistical training, this book will probably be perfect for your purposes.

I took a lot of statistics classes This was good.

It's a good book for introducing R and Statistics. It could be better if it had exercises along the chapters, but the explanations are easy to follow and understand.

You need some background on R. But really great book as a starting point in more complex analysis

El libro es sobresalientemente didáctico. Te cuenta la trastienda matemática de los métodos estadísticos (como realizar un análisis de varianza, por ejemplo) y a continuación te muestra la magia de R, que con una sola línea de código te permite llegar al resultado que se alcanzaría tras una larga serie de operaciones matemáticas (nada amedrentadoras, eso sí, pero muy tediosas). Yo aprendí los rudimentos de la estadística de la manera fatigosa, llevando a cabo con paciencia benedictina todas esas operaciones de cálculo, de modo que estoy en condiciones de apreciar las bendiciones de R (y de otros programas de software estadístico).Schmuller también se ocupa de enseñarte con detenimiento el manejo de las herramientas gráficas de R, tanto las tradicionales como las de ggplot2. Otro detalle de interés es que dedica al menos un capítulo al tema de la Probabilidad, un asunto bastante descuidado y preterido tanto en los manuales como en los cursos de R.Sólo tengo una actitud ambivalente ante un detalle: a diferencia de otros libros de esta naturaleza, el autor no te suministra el código mediante una conexión a una página web, sino que está escrito todo él en la obra misma. El código tiene algunos deslices (no muchos, pero algunos tiene). Si a ellos sumamos los deslices que yo misma he cometido al escribir el código en el editor de RStudio, la consecuencia es que la lectura se ha hecho más larga y pedregosa de lo esperado. La parte buena de todo esto es que te obliga a tener más ojos que Argos y prestar mucha atención para escribir correctamente los comandos de R.En conjunto, lo considero el mejor libro, de los que llevo leídos hasta ahora, para aprender a la vez estadística y el manejo de R. Te conduce de la mano desde un nivel básico hasta uno intermedio (con una simulación Montecarlo incluida) pacíficamente, sin sobresaltos. He disfrutado la lectura.

The book is not bad, however it has here and there mistakes and it takes a lot of cursing, re-reading and beating on the table before you realize where they are, so that you can continue. The author comments on many topics and tries to explain almost everything, with the result that you sometimes lose yourself and the reading becomes a bit difficult. But make no mistake, this is still quite a decent book to start learning the topic and I would still rate it as useful. Not with the highest marks though.

I bought this book to learn R, believing that I had a good grounding in statistics, but no idea about the practicalities of using R.In fact (as indeed the name suggests) this is much more about statistic than R. At first I even felt a little bit patronised, but after reading on a little that feeling was quickly replaced by a deep respect about how well simple and not so simple statistical concepts were explained. I admit I repeatedly found myself mouthing the words "Oh yes, that is why!".My stats background was based on struggling through and memorising increasingly complex equations and learning rules. In contrast this book explains things from basic concepts so that the equations make total sense. I believe that if I had come to this book 30 years ago I would never have had to memorise the maths - it would all have become intuitive. I would add that R is also the perfect instrument to reinforce this bottom up approach.I have no hesitation in awarding this 5 stars, although it has to be admitted that there are occasional gaffs where the numbers in tables and figures do not fit with the text (which you would have though an editor would have picked up upon). My final words have to be a quote from the for dummies series, which in this case is absolutely true:"Learning made easy"