| selectSupTrajMinSize {longitudinalData} | R Documentation |
When an individual trajectories contain too many missing value, it
might be necessary to exclude it.
Give an object of class LongData,
selecSupTrajMinSize select the trajectories that does not contain
too many missing value.
selectSupTrajMinSize(object,minSize)
object |
[LongData]: Object from who some individual
trajectories may be exclude |
minSize |
[numeric]: minimum number of non missing value
that an individual trajectories must contain to not be exclude. |
Individual trajectories whose values are partially missing can either be
excluded or included in a computation. minSize sets the
minimum number of values that a trajectory must contain to not be
excluded. For example, if a trajectories have 7 mesurements
(time=7) and minSize is set to 3, the trajectory
(5,3,NA,4,NA,NA,NA) will be include while
(2,NA,NA,NA,4,NA,NA) will be exclude. Please note that
trajectories that are totally missing (i.e. 0 present values) are always excluded.
A logical vecteur taking values TRUE for the trajectories to include, FASLE for the trajectories to exclude.
### Construction of the LongData trajA <- as.longData(matrix(c(4,1,1,NA,NA,1,NA,NA,2,2,3,NA),4)) ### Selection of the longData with at least 2 values selectSupTrajMinSize(trajA,2) ### Selection of the longData with no missing value selectSupTrajMinSize(trajA,3)