Generate a grouped results table for spline fits with average and standard deviations

Usage

table_group_growth_spline(gcTable, html = FALSE)

Arguments

gcTable: An object of class gcTable
html: (Logical) Should column headers contain html formatting?

Value

A data frame with grouped spline fit results. Empty cells indicate that no reliable fit could be determined.

Examples

# Create random growth data set
rnd.data <- rdm.data(d = 35, mu = 0.8, A = 5, label = "Test1")

# Run growth curve analysis workflow
res <- growth.workflow(time = rnd.data$time,
                       data = rnd.data$data,
                       fit.opt = "s",
                       ec50 = FALSE,
                       export.res = FALSE,
                       parallelize = FALSE,
                       suppress.messages = TRUE)

table_group_growth_spline(res$gcFit$gcTable)
#>     Sample|Conc.         mumax             tD       lagtime         Y_max
#> 1      Test1 | 0 0.665 ± 0.005  1.042 ± 0.008 4.354 ± 0.163 6.679 ± 0.293
#> 2  Test1 | 0.017 0.629 ± 0.003  1.102 ± 0.005 4.519 ± 0.311 4.127 ± 0.417
#> 3  Test1 | 0.026 0.611 ± 0.004  1.135 ± 0.008 4.588 ± 0.093   3.31 ± 0.15
#> 4  Test1 | 0.039 0.579 ± 0.011  1.198 ± 0.023  4.55 ± 0.181 2.705 ± 0.199
#> 5  Test1 | 0.059 0.523 ± 0.008  1.326 ± 0.022 4.491 ± 0.129 2.293 ± 0.182
#> 6  Test1 | 0.088 0.468 ± 0.005   1.48 ± 0.017 4.569 ± 0.105 1.684 ± 0.028
#> 7   Test1 | 0.13 0.391 ± 0.004   1.775 ± 0.02 4.474 ± 0.112 1.169 ± 0.072
#> 8    Test1 | 0.2 0.269 ± 0.007  2.573 ± 0.068 3.995 ± 0.313 0.764 ± 0.036
#> 9    Test1 | 0.3 0.147 ± 0.002  4.712 ± 0.053 3.096 ± 0.115  0.44 ± 0.038
#> 10  Test1 | 0.44 0.074 ± 0.005   9.356 ± 0.68  2.06 ± 0.229  0.195 ± 0.02
#> 11  Test1 | 0.67 0.038 ± 0.006 18.584 ± 2.698 2.073 ± 1.055   0.1 ± 0.005
#> 12     Test1 | 1                                                         
#>               dY      t(mumax)
#> 1  6.626 ± 0.292 7.917 ± 0.289
#> 2  4.073 ± 0.414     8 ± 0.354
#> 3  3.259 ± 0.147 8.083 ± 0.144
#> 4  2.655 ± 0.198      8 ± 0.25
#> 5  2.238 ± 0.181 7.917 ± 0.144
#> 6  1.629 ± 0.028 8.083 ± 0.144
#> 7  1.119 ± 0.069 8.417 ± 0.144
#> 8  0.714 ± 0.035   8.75 ± 0.25
#> 9  0.387 ± 0.038   9.5 ± 1.146
#> 10 0.144 ± 0.017 9.083 ± 1.127
#> 11 0.045 ± 0.002  7.25 ± 2.291
#> 12                            

# with HTML formatting
DT::datatable(table_group_growth_spline(res$gcFit$gcTable, html = TRUE),
              escape = FALSE) # Do not escape HTML entities