106Ĥ One-dimensional data 4.1 How to estimate general tendencies 4.1.1 Median is the best. 3.7 Changing data: basics of transformations. 3.4 Fractions, counts and ranks: secondary data. 3.3 Colors, names and sexes: nominal data. ģ Types of data 3.1 Degrees, hours and kilometers: measurement data 3.2 Grades and t-shirts: ranked data.
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2.4 Use, advantages and disadvantages of the R 2.5 How to download and install R. 2.3 The very short history of the S and R. Ģ How to process the data 2.1 General purpose software. 1.4.1 Why do we need the data analysis 1.4.2 What data analysis can do. This book is dedicated to the public domainġ The data 1.1 Origin of the data. URL: On the cover: R plot illustrating correlations between human phenotypic traits. Probability of the success: logistic regression Is there an association? Analysis of tables If there are more than two samples: ANOVA Is there a difference? Comparing two samples
Use, advantages and disadvantages of the Rĭegrees, hours and kilometers: measurement dataįractions, counts and ranks: secondary data
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