edaprep: Dataset Preparation for Analysis
In mtsdi: Multivariate Time Series Data Imputation
edaprep R Documentation
Dataset Preparation for Analysis
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 wjunger@ims.uerj.br and Antonio Ponce de Leon ponce@ims.uerj.br
See Also
mnimput, getmean, edaprep
Examples
data(miss)
c <- edaprep(miss)
mtsdi documentation built on April 12, 2025, 1:15 a.m.
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| edaprep | R Documentation |
Dataset Preparation for Analysis
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 wjunger@ims.uerj.br and Antonio Ponce de Leon ponce@ims.uerj.br
See Also
mnimput, getmean, edaprep
Examples
data(miss)
c <- edaprep(miss)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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