lss.ampute: lss.ampute

In helpstatanalysis/mvls: Missing Values in Longitudinal Studies

Description

Create and ampute a longitudinal dataset

Usage

lss.ampute(n, time, mean, sd, sd.e, perc.up, perc.zero, perc.down, perc.ampute,
  ampute = "mcar", set.seed = NULL)

Arguments

n	It's the number of record (subjects).
time	It's the number of longitudinal mesurements.
mean	It's the mean for the first longitudinal mesurements.
sd	It's the standard deviation for the first mesurment.
sd.e	It's the error on single mesurements.
perc.up	It's the percentage (0.00 to 1.00) of the positive trend longitudinal mesurements.
perc.zero	It's the percentage (0.00 to 1.00) of the zero trend longitudinal mesurements.
perc.down	It's the percentage (0.00 to 1.00) of the negative trend longitudinal mesurements.
perc.ampute	It's the percentage of missing data (after amputation)
ampute	It's the type of amputation methods (default it's "mcar"): "mcar", "mar" and "mnar" are allowed.
set.seed	Default it's NULL, but it could be set as you prefer.

Value

$data It's the database with real values,

$data.ampute It's the database with missing data.

Author(s)

Lorenzo Querci <[e-mail]>

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