apply_transformations {vachette} | R Documentation |
Apply vachette transformations
Description
Apply vachette transformations
Usage
apply_transformations(vachette_data, ...)
## S3 method for class 'vachette_data'
apply_transformations(
vachette_data,
tol.end = 0.001,
tol.noise = 1e-08,
step.x.factor = 1.5,
ngrid.fit = 100,
window = 17,
log_file = NULL,
...
)
Arguments
vachette_data |
object of class |
... |
Additional arguments |
tol.end |
numeric; Relative tolerance to determine last x open end reference |
tol.noise |
numeric; Relative tolerance for landmark determination typical curves |
step.x.factor |
numeric; x-axis extension factor to search for last x, i.e., to determine where close enough to asymptote |
ngrid.fit |
numeric; number of grid points in last query segment for matching last reference segment |
window |
integer; size (gridpoints) of Savitzky Golay smoothing window for landmark position determination |
log_file |
character; File path to direct console output e.g., |
Value
vachette_data
object containing a list of vachette-transformed data.frame
s
Examples
obs <- read.csv(system.file(package = "vachette", "examples", "iv-obs.csv"))
typ <- read.csv(system.file(package = "vachette", "examples", "iv-typ-minmax.csv"))
vd <- vachette_data(
obs.data = obs,
typ.data = typ,
covariates = c(WT = 70),
mappings = c(OBS = "DV", x = "time"),
model.name = "IV"
)
vd <- apply_transformations(vd)
[Package vachette version 0.40.0 Index]