Inhalts-Angabe

Ch1. Daten

Intro2R: importieren (read.table, scan), xedit, Typen, Numeric, vector, string, factor, list data selection

Ch2. Graphiken

Discrete: Table, pie chart, bar chart, life tables, survival functions

Continuous: Histogram, density, 2dim density, spatial data: maps ,

Ch3. Dependence

Discrete: 2dim-table, independence, odds ratio, 3dim-table, Simpsonís paradox, conditional independence, collapsibility.

Continuous: correlation, independence, partial correlation, conditional independence, correlation graphs, concentration graphs.

Ch4. Distributions

Normal, exponential, t, chi2, F, binom, multinom, poisson, random numbers

Ch5. Tests & CIs

p-value, z-test, t-test, binomial test, proportion,independence test, OR conf ints

Nicht parm tests: quantile plots, robustness, wilcoxon 1-sample, 2-sample

Ch6. Lineare modelle

residuen,categorical regressors, anova, Vorzeichen fehler

Ch7. Binary regression, logit, probit, ordinal regression

Ch8. log-linear models.