Extact and print GLMM fit
# S3 method for cytoglmm print(x, ...)
x | A |
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... | 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)) glmm_fit <- CytoGLMM::cytoglmm(df, protein_names = protein_names, condition = "condition", group = "donor") #> Warning: moment-based covariance matrix estimate is not positive semi-definite; using projection print(glmm_fit) #> 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