flagPointLocfit.Rd
detection of outlier points in time courses
flagPointLocfit(datain, trait, xvar, loopID, locfit.h, threshold)
datain | input dataframe of parameters |
---|---|
trait | character, parameter of interest (ex: plantHeight) |
xvar | character, time variable (ex: thermalTime) |
loopID | character, ID on which to make the loop |
locfit.h | numeric, the constant component of the smoothing parameter |
threshold | numeric, threshold to detect on the prediction interval |
a list
prediction and detection of outlier on observed data
prediction on regular abscissa data
time courses with not enough point to be evaluated
# \donttest{ # Example # }