Generic summary function for drFitfl objects

Usage

# S3 method for drFitfl
summary(object, ...)

Arguments

object: object of class drFitfl
...: Additional arguments. This has currently no effect and is only meant to fulfill the requirements of a generic function.

Value

A dataframe with parameters for all samples extracted from a dose-response analysis.

Examples

# load example dataset
input <- read_data(data.growth = system.file('lac_promoters.xlsx', package = 'QurvE'),
                   data.fl = system.file('lac_promoters.xlsx', package = 'QurvE'),
                   sheet.growth = 1,
                   sheet.fl = 2 )
#> Sample data are stored in columns. If they are stored in row format, please run read_data() with data.format = 'row'.

# Define fit controls
control <- fl.control(fit.opt = 's',
             x_type = 'time', norm_fl = TRUE,
             dr.parameter = 'max_slope.spline',
             dr.method = 'model',
             suppress.messages = TRUE)

# Run curve fitting workflow
res <- flFit(fl_data = input$norm.fluorescence,
             time = input$time,
             parallelize = FALSE,
             control = control)

# Perform dose-response analysis with biosensor model
drFitfl <- fl.drFit(flTable = res$flTable, control = control)

summary(drFitfl)
#>             Test log.x log.y    yEC50    y.min    y.max        fc          K
#> 1 pSEVA634rκ∙GFP FALSE FALSE 205.9583 64.17578 347.7407  5.418567 0.01018010
#> 2  pSEVA634r∙GFP FALSE FALSE 190.4524 30.77274 350.1321 11.377995 0.04563555
#> 3   pSEVA634∙GFP FALSE FALSE 446.4529 92.26689 800.6390  8.677424 0.03285861
#>           n yEC50.orig     K.orig             test
#> 1 0.9764846   205.9583 0.01018010 max_slope.spline
#> 2 2.7157133   190.4524 0.04563555 max_slope.spline
#> 3 1.1757152   446.4529 0.03285861 max_slope.spline