Environmental Engineering

Environmental and Ecological Statistics with R, Second by Song S. Qian

By Song S. Qian

Emphasizing the inductive nature of statistical considering, Environmental and Ecological information with R, moment Edition, connects utilized records to the environmental and ecological fields. utilizing examples from released works within the ecological and environmental literature, the e-book explains the method of fixing a statistical challenge, overlaying version specification, parameter estimation, and version evaluate. It contains many examples to demonstrate the statistical tools and offers R code for his or her implementation. The emphasis is on version interpretation and evaluation, and utilizing numerous center examples in the course of the ebook, the writer illustrates the iterative nature of statistical inference.

The publication begins with an outline of accepted statistical assumptions and exploratory information research instruments for the verification of those assumptions. It then makes a speciality of the method of creating compatible statistical types, together with linear and nonlinear types, class and regression bushes, generalized linear types, and multilevel versions. It additionally discusses using simulation for version checking, and offers instruments for a severe evaluation of the built types. the second one version additionally features a entire critique of a threshold version.

Environmental and Ecological data with R, moment Edition specializes in statistical modeling and information research for environmental and ecological difficulties. via guiding readers throughout the means of clinical challenge fixing and statistical version improvement, it eases the transition from clinical speculation to statistical model.

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Additional info for Environmental and Ecological Statistics with R, Second Edition

Sample text

1 R Commands and Scripts . . . . . . . . . . . . . . . . 2 R Packages . . . . . . . . . . . . . . . . . . . . . . . . 3 R Working Directory . . . . . . . . . . . . . . . . . . 4 Data Types . . . . . . . . . . . . . . . . . . . . . . . 5 R Functions . . . . . . . . . . . . . . . . . . . . . . . Getting Data into R . . . . . . . . .

4 Data Types . . . . . . . . . . . . . . . . . . . . . . . 5 R Functions . . . . . . . . . . . . . . . . . . . . . . . Getting Data into R . . . . . . . . . . . . . . . . . . . . . . . 1 Functions for Creating Data . . . . . . . . . . . . . . . 2 A Simulation Example . . . . . . . . . . . . . . . . . Data Preparation . . . . . . . . . . . . . . .

2 Subsetting and Combining Data . . . . . . . . . . . . 3 Data Transformation . . . . . . . . . . . . . . . . . . 4 Data Aggregation and Reshaping . . . . . . . . . . . . 5 Dates . . . . . . . . . . . . . . . . . . . . . . . . . . . Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 What is R? 4 19 20 21 22 22 23 25 27 29 31 34 35 36 36 38 38 42 44 R is a computer language and environment for statistical computing and graphics, similar to the S language developed at the Bell Laboratories by John Chambers and others.

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