Extact and print bootstrap GLM fit
# S3 method for cytoglm print(x, ...)
x | A |
---|---|
... | Other parameters |
NULL.
set.seed(23) df <- generate_data() protein_names <- names(df)[3:12] df <- dplyr::mutate_at(df, protein_names, function(x) asinh(x/5)) glm_fit <- CytoGLMM::cytoglm(df, protein_names = protein_names, condition = "condition", group = "donor", num_boot = 10) # in practice >=1000 print(glm_fit) #> #> ####################### #> ## paired analysis #### #> ####################### #> #> number of bootstrap samples: 10 #> #> number of cells per group and condition: #> control treatment #> 1 1000 1000 #> 2 1000 1000 #> 3 1000 1000 #> 4 1000 1000 #> 5 1000 1000 #> 6 1000 1000 #> 7 1000 1000 #> 8 1000 1000 #> #> proteins included in the analysis: #> m01 m02 m03 m04 m05 m06 m07 m08 m09 m10 #> #> condition compared: condition #> grouping variable: donor