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100 Statistical Tests: in R

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N.D Lewis (Author of 100 Statistical Tests in R)

100 Statistical Tests in R gives you rapid access to one hundred of the most popular statistical tests. Step by step examples of each test are clearly described, and can be typed directly into the free R statistical package as printed on the page. To assist you, over three hundred applications of statistical tests across engineering, science and the social sciences are discussed in this text.

100 Statistical Tests in R gives you rapid access to one hundred of the most popular statistical tests. Step by step examples of each test are clearly described, and can be typed directly into the free R statistical package as printed on the page. To assist you, over three hundred applications of statistical tests across engineering, science and the social sciences are discussed in this text.

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100 Statistical Tests in R is designed to give you rapid access to one hundred of the most popular statistical tests. It shows you, step by step, how to carry out these tests in the free and popular R statistical package. The book was created for the applied researcher whose primary focus is on their subject matter rather than mathematical lemmas or statistical theory. Step by step examples of each test are clearly described, and can be typed directly into R as printed on the page. To accelerate your research ideas, over three hundred applications of statistical tests across engineering, science, and the social sciences are discussed.

100 Statistical Tests in R is designed to give you rapid access to one hundred of the most popular statistical tests. It shows you, step by step, how to carry out these tests in the free and popular R statistical package. The book was created for the applied researcher whose primary focus is on their subject matter rather than mathematical lemmas or statistical theory. Step by step examples of each test are clearly described, and can be typed directly into R as printed on the page. To accelerate your research ideas, over three hundred applications of statistical tests across engineering, science, and the social sciences are discussed.