mtsdi
Multivariate Time Series Data Imputation

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edaprep: Dataset Preparation for Analysis

edaprep: Dataset Preparation for Analysis
In mtsdi: Multivariate Time Series Data Imputation

Description Usage Arguments Details Value Author(s) See Also Examples

Description

Prepare the dataset for exploratory data analysis

Usage

1
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 wjunger@ims.uerj.br and Antonio Ponce de Leon ponce@ims.uerj.br

See Also

mnimput, getmean, edaprep

Examples

1
2
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 May 2, 2019, 1:09 p.m.

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