print.OpenStatsMM | R Documentation |
This function prints summary table for an OpenStatsMM object
## S3 method for class 'OpenStatsMM' print(x, format = "rst", ...)
x |
an instance of OpenStatsMM result from OpenStatsAnalysis(method = 'MM') 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
, print.OpenStatsFE
, print.OpenStatsRR
#################################################################### # Data preparation #################################################################### ################# # Continuous data - Creating OpenStatsList object ################# fileCon <- system.file("extdata", "test_continuous.csv", package = "OpenStats") test_Cont <- OpenStatsList( dataset = read.csv(fileCon), testGenotype = "experimental", refGenotype = "control", dataset.colname.genotype = "biological_sample_group", dataset.colname.batch = "date_of_experiment", dataset.colname.lifestage = NULL, dataset.colname.weight = "weight", dataset.colname.sex = "sex" ) ################# # Optimised Linear Mixed model (MM) framework ################# MM1_result <- OpenStatsAnalysis( OpenStatsList = test_Cont, method = "MM", MM_fixed = data_point ~ Genotype + Weight ) print(MM1_result)
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