dataset.hev.2013

Hybrid electric vehicles from MY1997 to MY2013.

Implements various decision support tools related to the Econometrics & Technometrics.
Subroutines include correlation reliability test, Mahalanobis distance measure for outlier detection, combinatorial search (all possible subset regression), non-parametric efficiency analysis measures: DDF (directional distance function), DEA (data envelopment analysis), HDF (hyperbolic distance function), SBM (slack-based measure), and SF (shortage function), benchmarking, Malmquist productivity analysis, risk analysis, technology adoption model, new product target setting, network DEA, dynamic DEA, intertemporal budgeting, etc.

DongJoon Lim

Distance Measure Based Judgment and Learning

dataset.hev.2013 function

<code>[,1] Name </code>Vehicle name 
 <code>[,2] MY </code>Model year 
 <code>[,3] MSRP.2013 </code>MSRP converted to 2013 value 
 <code>[,4] Acc </code>Acceleration (0-100km) in km/h/s 
 <code>[,5] MPG </code>MPG in mile/gallon 
 <code>[,6] MPGe </code>MPG equivalence for PHEV in mile/gallon

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Author

Dataset of hybrid electric vehicles from MY1997 to MY2013. — dataset.hev.2013

<code>[,1] Name </code>Vehicle name 
 <code>[,2] MY </code>Model year 
 <code>[,3] MSRP.2013 </code>MSRP converted to 2013 value 
 <code>[,4] Acc </code>Acceleration (0-100km) in km/h/s 
 <code>[,5] MPG </code>MPG in mile/gallon 
 <code>[,6] MPGe </code>MPG equivalence for PHEV in mile/gallon

dataset.hev.2013: Dataset of hybrid electric vehicles from MY1997 to MY2013.

Description

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Author

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Examples