Best probability & statistics books

Download e-book for iPad: Membership Roles in Field Research (Qualitative Research by Peter N. Adler

There are a selection of attainable roles that may be performed by way of ethnographers in box learn, from the indifferent observer to the the fully-fledged player. the alternative of position will impact the kind of info to be had to the researcher and the type of ethnography written. The authors talk about the issues and merits at each one point of involvement and provides examples of contemporary ethnographic reports.

Download e-book for iPad: Interpreting and Using Regression by Christopher H. Achen

Examining and utilizing Regression units out the particular systems researchers hire, locations them within the framework of statistical idea, and exhibits how strong learn takes account either one of statistical idea and genuine international calls for. Achen builds a operating philosophy of regression that is going way past the summary, unrealistic therapy given in prior texts.

Get Using R for Introductory Statistics PDF

The second one variation of a bestselling textbook, utilizing R for Introductory statistics courses scholars throughout the fundamentals of R, supporting them conquer the occasionally steep studying curve. the writer does this via breaking the cloth down into small, task-oriented steps. the second one variation continues the positive aspects that made the 1st variation so well known, whereas updating information, examples, and alterations to R in keeping with the present model.

Applied Matrix Algebra in the Statistical Sciences by Alexander Basilevsky PDF

DOVER BOOKS ON arithmetic; name web page; Copyright web page; commitment; desk of Contents; Preface; bankruptcy 1 - Vectors; 1. 1 advent; 1. 2 Vector Operations; 1. three Coordinates of a Vector; 1. four the interior made of Vectors; 1. five The size of a Vector: Unit Vectors; 1. 6 path Cosines; 1.

Extra resources for Advanced R

Example text

If you need more details, you can ﬁnd them in R’s documentation. R’s base data structures can be organised by their dimensionality (1d, 2d, or nd) and whether they’re homogeneous (all contents must be of the same type) or heterogeneous (the contents can be of diﬀerent types). This gives rise to the ﬁve data types most often used in data analysis: Homogeneous Heterogeneous 1d Atomic vector List 2d Matrix Data frame nd Array Almost all other objects are built upon these foundations. In Chapter 7 you’ll see how more complicated objects are built of these simple pieces.

It is truly a community eﬀort: many people read drafts, ﬁxed typos, suggested improvements, and contributed content. Without those contributors, the book wouldn’t be nearly as good as it is, and I’m deeply grateful for their help. Special thanks go to Peter Li, who read the book from cover-to-cover and provided many ﬁxes. Other outstanding contributors were Aaron Schumacher, @crtahlin, Lingbing Feng, @juancentro, and @johnbaums. Thanks go to all contributers in alphabetical order: Aaron Schumacher, Aaron Wolen, @aaronwolen, @absolutelyNoWarranty, Adam Hunt, @agrabovsky, @ajdm, @alexbbrown, @alko989, @allegretto, @AmeliaMN, @andrewla, Andy Teucher, Anthony Damico, Anton Antonov, @aranlunzer, @arilamstein, @avilella, @baptiste, @blindjesse, @blmoore, @bnjmn, Brandon Hurr, @BrianDiggs, @Bryce, C.

This is because when [ is applied to a list it always returns a list: it never gives you the contents of the list. ” — @RLangTip Because it can return only a single value, you must use [[ with either a single positive integer or a string: 41 Subsetting a <- list(a = 1, b = 2) a[[1]] #> [1] 1 a[["a"]] #> [1] 1 # If you do supply a vector it indexes recursively b <- list(a = list(b = list(c = list(d = 1)))) b[[c("a", "b", "c", "d")]] #> [1] 1 # Same as b[["a"]][["b"]][["c"]][["d"]] #> [1] 1 Because data frames are lists of columns, you can use [[ to extract a column from data frames: mtcars[[1]], mtcars[["cyl"]].