summary.OpenStatsFE | R Documentation |
This function provides summary for an OpenStatsFE object
## S3 method for class 'OpenStatsFE' summary(object, format = "rst", ...)
object |
an instance of OpenStatsFE result from OpenStatsAnalysis(method = 'FE') function |
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:
- 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>
OpenStatsAnalysis
, summary.OpenStatsMM
, summary.OpenStatsRR
#################################################################### # Data preparation #################################################################### ################# # Categorical data - Creating OpenStatsList object ################# fileCat <- system.file("extdata", "test_categorical.csv", package = "OpenStats") test_Cat <- OpenStatsList( dataset = read.csv(fileCat, na.strings = "-"), testGenotype = "Aff3/Aff3", refGenotype = "+/+", dataset.colname.genotype = "Genotype", dataset.colname.batch = "Assay.Date", dataset.colname.lifestage = NULL, dataset.colname.weight = "Weight", dataset.colname.sex = "Sex" ) ################# # Fisher's exact test framework ################# FE_result <- OpenStatsAnalysis( OpenStatsList = test_Cat, method = "FE", FE_formula = Thoracic.Processes ~ Genotype + Sex ) summary(FE_result)
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