View source: R/OpenStatsComplementarySplit.R
print.OpenStatsComplementarySplit | R Documentation |
This function displays a summary table for an 'OpenStatsComplementarySplit' object
## S3 method for class 'OpenStatsComplementarySplit' print(x, format = "rst", ...)
x |
an instance of 'OpenStatsComplementarySplit' result |
format |
See format argument from the knitr::kable function |
... |
Other parameters that can be passed to knitr::kable function |
The output consists of the following statistics for levels of partitioning variables (see 'variables' in the 'OpenStatsComplementarySplit' function manual):
- Applied model
- Checked/optimised model
- Treatment group
- Control group
- If possible, whether sexual dimorphism is detected from the analysis
- Genotype effect p-value
- Genotype effect p-value for females
- Genotype effect p-value for males
- If LifeStage existed in the data, LifeStage p-value
- Genotype effect for early adults
- Genotype effect for late adults
- If Sex existed in the data, Sex p-value
- If bodyweight existed in the data, bodyweight p-value
Hamed Haseli Mashhadi <hamedhm@ebi.ac.uk>
OpenStatsComplementarySplit
, OpenStatsAnalysis
, plot.OpenStatsComplementarySplit
, print.OpenStatsComplementarySplit
example(OpenStatsComplementarySplit)
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