Generic summary function for gcBootSpline objects

Usage

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

Arguments

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

Value

A dataframe with statistical parameters extracted from the spline fit bootstrapping computation.

Examples

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

# Extract time and growth data for single sample
time <- rnd.dataset$time[1,]
data <- rnd.dataset$data[1,-(1:3)] # Remove identifier columns

# Introduce some noise into the measurements
data <- data + stats::runif(97, -0.01, 0.09)

# Perform bootstrapping spline fit
TestFit <- growth.gcBootSpline(time, data, gcID = 'TestFit',
              control = growth.control(fit.opt = 's', nboot.gc = 50))

summary(TestFit)
#>               mu.bt        lambda.bt             A.bt            dY.bt
#> 1 0.635161434858602 5.09236401045144 6.05052709591363 5.96867339173898
#>        integral.bt           stdmu.bt     stdlambda.bt            stdA.bt
#> 1 69.1971625397083 0.0168712361357962 0.24525446207061 0.0667436030440522
#>             stddY.bt   stdintegral.bt reliable_fit.bt     ci90.mu.bt.lo
#> 1 0.0702191988143141 1.36212860405581            TRUE 0.607408251415218
#>       ci90.mu.bt.up ci90.lambda.bt.lo ci90.lambda.bt.up     ci90.A.bt.lo
#> 1 0.662914618301987  4.68892042034529  5.49580760055759 5.94073386890617
#>      ci90.A.bt.up ci90.integral.bt.lo ci90.integral.bt.up     ci95.mu.bt.lo
#> 1 6.1603203229211    66.9564609860365    71.4378640933801 0.602093812032442
#>       ci95.mu.bt.up ci95.lambda.bt.lo ci95.lambda.bt.up     ci95.A.bt.lo
#> 1 0.668229057684763  4.61166526479305  5.57306275610984 5.91970963394729
#>       ci95.A.bt.up ci95.integral.bt.lo ci95.integral.bt.up
#> 1 6.18134455787998    66.5273904757589    71.8669346036577