Description Usage Arguments Value Author(s) See Also Examples
This function prints summary table for an OpenStatsRR object
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| x | an instance of OpenStatsRR result from OpenStatsAnalysis(method = 'RR') function | 
| format | See format argument from the knitr::kable function | 
| ... | Other parameters that can be passed to knitr::kable function | 
The output consists of a pair of values separated by comma, e.g. 1,1, for low and high classes respectively. The following statistics are reported in the summary:
- 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.OpenStatsMM
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# 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"
)
#################
# Reference range framework
#################
RR_result <- OpenStatsAnalysis(
  OpenStatsList = test_Cont,
  method = "RR",
  RR_formula = data_point ~ Genotype + Sex
)
print(RR_result)
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