Examples:
- Single factor analysis and multiple
comparsion. Example NKNW96 Ch17Ta02.
-
Two way balanced ANOVA with
interaction Example NKNW96 Ch19pr14
-
Balanced two way; ratpoison example.
-
One case per cell: Alfafa (Luzerne)
- A two-way
unbalanced ANOVA. Data-set from NKNW96 Ch22pr05
- Empty cell two-way ANOVA.
Data-set from NKNW96 Ch22pr09
- Multifactor ANOVA. Data-set from NKNW96 Ch23pr12
- Try an ANCOVA
(analysis of covariance); in human terms compare single linear
regressions in function of a factor. Data-set from NKNW96 Ch25pr07
- Random effect single factor model.
Data-set from NKNW96 Ch24pr07
- Mixed effect model.
Data-set from NKNW96 Ch24pr17
- Mixed effect with three
factors. Problem NKNW96 Ch24pr20.
- Two-way ANOVA with factor B
nested in factor A (both A and B are fixed) Data-set from NKNW96 Ch28pr04
- Sample size calculations NKNW96
Ch26pr11and CH22pr22
- Analysis of a RCBD experiment
(Data from Virtex Greenhouse).
- Analysis of a
Latin Square Example NKNW96 Ch30pr11
-
Design and analysis of a Virtex
Greenhouse experiment
Back to introduction
to R
The reference used for the exercises is
"J. Neter, M. H. Kutner, C. J. Nachtsheim en W. Wasserman,
1996, edition four, 'Applied Linear statistical
Models', IRWIN, Chicago." in short :
NKNW96 |