Get data for calculating actual values
getData2computeActualFixEffect.RdGet data for calculating actual values
Examples
input_var_list <- init_variable()
#> Variable name should not contain digits, spaces, or special characters.
#> If any of these are present, they will be removed from the variable name.
mock_data <- mock_rnaseq(input_var_list, 10, 2, 2)
#> Building mu_ij matrix
#> INFO: 5 genes have all(mu_ij) < 1, indicating very low counts. Consider removing them for future analysis using prepareData2fit with row_threshold = 10. To detect them in future experiment, try increasing sequencing depth.
#> k_ij ~ Nbinom(mu_ij, dispersion)
#> Counts simulation: Done
getData2computeActualFixEffect(mock_data$groundTruth$effect)
#> $categorical_vars
#> [1] "label_myVariable"
#>
#> $data
#> logQij_mean geneID label_myVariable
#> 1 0.238133331 gene1 myVariable1
#> 2 -0.001773283 gene10 myVariable1
#> 3 0.157385085 gene2 myVariable1
#> 4 -0.054364774 gene3 myVariable1
#> 5 -0.057260030 gene4 myVariable1
#> 6 -0.018911091 gene5 myVariable1
#> 7 0.142898137 gene6 myVariable1
#> 8 0.259318868 gene7 myVariable1
#> 9 -0.168411763 gene8 myVariable1
#> 10 -0.056805291 gene9 myVariable1
#> 11 -0.009507817 gene1 myVariable2
#> 12 -0.589816757 gene10 myVariable2
#> 13 0.233336822 gene2 myVariable2
#> 14 -0.062740857 gene3 myVariable2
#> 15 -0.160688053 gene4 myVariable2
#> 16 -0.014809301 gene5 myVariable2
#> 17 0.024943673 gene6 myVariable2
#> 18 -0.222898585 gene7 myVariable2
#> 19 -0.300858842 gene8 myVariable2
#> 20 0.008573808 gene9 myVariable2
#>