mvls.pam: mvls.pam

Description Usage Arguments Value Author(s)

Description

Takes a longitudinal dataset and impute missing value with pam (k by pamk) machine learning-based method.

Usage

1
mvls.pam(data, imp.method = "mean", krange = 2:12, scaling = T)

Arguments

data

A dataset (more than two longitudinal mesurements).

imp.method

Type od pre-imputation. pam and pamk don't use missing value. Possible "mean" or "locf".

krange

Range for k in pamk (fpc package) function.

scaling

TRUE/FALSE value (default T). Scale data before clustering.

Value

$data It's the data-set with imputation.

$pam It's a pam object

$sd.1 It contains the sd for each data imputed at single imputation method

Author(s)

Lorenzo Querci <lorenzo.querci@studio.unibo.it>


helpstatanalysis/mvls documentation built on May 13, 2019, 3 a.m.