Description Usage Arguments Value Author(s) Examples
View source: R/immunogenicity_functions.R
This function is a wrapper for the lmer() function to produce a table of results. Here, the sample ID is included as a random intercept effect, then the results of the fixed effect model estimates are reported together with 95% confidence intervals and t statistics.
1 | mixedModel(assay.df.melted, var = c("Operator", "Day"))
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assay.df.melted |
A data.frame produced by assayMelt() |
var |
Variable to look at. Either "Day" or "Operator". |
A data.frame with the following columns: "Parameter", "Estimate", "LowerCI", "UpperCI", "Tstat"
Emma Gail
Lidija Turkovic
1 2 | assay.df.melted <- assayMelt(assay.df = lognormAssay, exp.name = 'Experiment1')
mixedModel(assay.df.melted, var = 'Day')
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