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longitudinalData (version 0.6.5)

selectSupTrajMinSize: ~ Function: selecSupTrajMinSize ~

Description

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.

Usage

selectSupTrajMinSize(object,minSize)

Arguments

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.

Value

  • A logical vecteur taking values TRUE for the trajectories to include, FASLE for the trajectories to exclude.

Details

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.

See Also

LongData

Examples

Run this code
### 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)

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