Preface |
Basics / 1: |
First steps / 1.1: |
An overgrown calculator / 1.1.1: |
Assignments / 1.1.2: |
Vectorized arithmetic / 1.1.3: |
Standard procedures / 1.1.4: |
Graphics / 1.1.5: |
R language essentials / 1.2: |
Expressions and objects / 1.2.1: |
Functions and arguments / 1.2.2: |
Vectors / 1.2.3: |
Missing values / 1.2.4: |
Functions that create vectors / 1.2.5: |
Matrices and arrays / 1.2.6: |
Factors / 1.2.7: |
Lists / 1.2.8: |
Data frames / 1.2.9: |
Indexing / 1.2.10: |
Conditional selection / 1.2.11: |
Indexing of data frames / 1.2.12: |
subset and transform / 1.2.13: |
Grouped data and data frames / 1.2.14: |
Sorting / 1.2.15: |
Implicit loops / 1.2.16: |
The graphics subsystem / 1.3: |
Plot layout / 1.3.1: |
Building a plot from pieces / 1.3.2: |
Using par / 1.3.3: |
Combining plots / 1.3.4: |
R programming / 1.4: |
Flow control / 1.4.1: |
Classes and generic functions / 1.4.2: |
Session management / 1.5: |
The workspace / 1.5.1: |
Getting help / 1.5.2: |
Packages / 1.5.3: |
Built-in data / 1.5.4: |
attach and detach / 1.5.5: |
Data entry / 1.6: |
Reading from a text file / 1.6.1: |
The data editor / 1.6.2: |
Interfacing to other programs / 1.6.3: |
Exercises / 1.7: |
Probability and distributions / 2: |
Random sampling / 2.1: |
Probability calculations and combinatorics / 2.2: |
Discrete distributions / 2.3: |
Continuous distributions / 2.4: |
The built-in distributions in R / 2.5: |
Densities / 2.5.1: |
Cumulative distribution functions / 2.5.2: |
Quantiles / 2.5.3: |
Random numbers / 2.5.4: |
Descriptive statistics and graphics / 2.6: |
Summary statistics for a single group / 3.1: |
Graphical display of distributions / 3.2: |
Histograms / 3.2.1: |
Empirical cumulative distribution / 3.2.2: |
Q-Q plots / 3.2.3: |
Boxplots / 3.2.4: |
Summary statistics by groups / 3.3: |
Graphics for grouped data / 3.4: |
Parallel boxplots / 3.4.1: |
Stripcharts / 3.4.3: |
Tables / 3.5: |
Generating tables / 3.5.1: |
Marginal tables and relative frequency / 3.5.2: |
Graphical display of tables / 3.6: |
Bar plots / 3.6.1: |
Dotcharts / 3.6.2: |
Pie charts / 3.6.3: |
One- and two-sample tests / 3.7: |
One-sample t test / 4.1: |
Wilcoxon signed-rank test / 4.2: |
Two-sample t test / 4.3: |
Comparison of variances / 4.4: |
Two-sample Wilcoxon test / 4.5: |
The paired t test / 4.6: |
The matched-pairs Wilcoxon test / 4.7: |
Regression and correlation / 4.8: |
Simple linear regression / 5.1: |
Residuals and fitted values / 5.2: |
Prediction and confidence bands / 5.3: |
Correlation / 5.4: |
Pearson correlation / 5.4.1: |
Spearman's ? / 5.4.2: |
Kendall's ? / 5.4.3: |
ANOVA and Kruskal-Wallis / 5.5: |
One-way analysis of variance / 6.1: |
Pairwise comparisons and multiple testing / 6.1.1: |
Relaxing the variance assumption / 6.1.2: |
Graphical presentation / 6.1.3: |
Bartlett's test / 6.1.4: |
Kruskal-Wallis test / 6.2: |
Two-way analysis of variance / 6.3: |
Graphics for repeated measurements / 6.3.1: |
The Friedman test / 6.4: |
The ANOVA table in regression analysis / 6.5: |
Tabular data / 6.6: |
Single proportions / 7.1: |
Two independent proportions / 7.2: |
k proportions, test for trend / 7.3: |
r × c tables / 7.4: |
Power and the computation of sample size / 7.5: |
The principles of power calculations / 8.1: |
The power of one-sample and paired t tests / 8.1.1: |
Power of two-sample t test / 8.1.2: |
Approximate methods / 8.1.3: |
Power of comparisons of proportions / 8.1.4: |
Two-sample problems / 8.2: |
One-sample problems and paired tests / 8.3: |
Comparison of proportions / 8.4: |
Multiple regression / 8.5: |
Plotting multivariate data / 9.1: |
Model specification and output / 9.2: |
Model search / 9.3: |
Linear models / 9.4: |
Polynomial regression / 10.1: |
Regression through the origin / 10.2: |
Design matrices and dummy variables / 10.3: |
Linearity over groups / 10.4: |
Interactions / 10.5: |
Two-way ANOVA with replication / 10.6: |
Analysis of covariance / 10.7: |
Graphical description / 10.7.1: |
Comparison of regression lines / 10.7.2: |
Diagnostics / 10.8: |
Logistic regression / 10.9: |
Generalized linear models / 11.1: |
Logistic regression on tabular data / 11.2: |
The analysis of deviance table / 11.2.1: |
Connection to test for trend / 11.2.2: |
Logistic regression using raw data / 11.3: |
Prediction / 11.4: |
Model checking / 11.5: |
Survival analysis / 11.6: |
Essential concepts / 12.1: |
Survival objects / 12.2: |
Kaplan-Meier estimates / 12.3: |
The log-rank test / 12.4: |
The Cox proportional hazards model / 12.5: |
Obtaining and installing R / 12.6: |
Data sets in the ISwR package / B: |
Compendium / C: |
Index |