edaprep: Dataset Preparation for Analysis

In mtsdi: Multivariate Time Series Data Imputation

Description

Prepare the dataset for exploratory data analysis

Usage

edaprep(dataset)

Arguments

dataset

dataset with missing observations

Details

It replaces missing observation with the vector mean.

Value

It returns dataset filled in with NA

Author(s)

Washington Junger [email protected] and Antonio Ponce de Leon [email protected]

See Also

mnimput, getmean, edaprep

Examples

data(miss)
c <- edaprep(miss)

Example output

Loading required package: gam
Loading required package: splines
Loading required package: foreach
Loaded gam 1.14-4

This is 'mtsdi' library 0.3.3

mtsdi documentation built on Jan. 24, 2018, 1:06 a.m.