stores the results of statistical
analyses of individual experients at two levels:
Experiment level summaries:
- Statistical model: A text version of the
fitted model
- General mean: Overall mean of the experient
- Least significant difference (LSD): 5%
least significant difference
- Coefficient of variation (CV)
- Error degrees of freedom (EDF)
- Average standard error of difference (SED)
- Components of variance:
The names and variance component estimates of any random terms included in the analysis,
such as column or row.ar1 for random column effects and
Of these, all are optional except the statistical model; this is a required field
as it is used to differentiate between alternate analyses of the same data, for
example, inclusion/exclusion of a covariate.
Treatment level information
- Mean value: Estimated treatment mean
- Successful replicate: number of non
missing replications
- Weight: A user derived value used to weight
a particular treatment result in a meta analysis over experiments
- Rank: Treatment ranking within this experiment
- Standard error: Estimated standard error
of the treatment mean