fitted.frontier: Fitted and Predicted (Frontier) Values
In frontier: Stochastic Frontier Analysis
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
View source: R/fitted.frontier.R
Description
This method returns the fitted and predicted “frontier” values
from stochastic frontier models
estimated with the frontier package
(e.g. function sfa).
Usage
1
2
3
4
5
Arguments
object
a stochastic frontier model
estimated with the frontier package
(e.g. function sfa).
newdata
an optional data frame from which the explanatory variables
are used to calculate the predicted “frontier” values.
If this argument is NULL,
the fitted values are returned.
asInData
logical. If TRUE,
the fitted values are returned in the same order
as the corresponding observations in the data set
used for the estimation
(see section ‘value’ below).
...
currently ignored.
Value
If argument asInData is FALSE,
a matrix of the fitted or predicted values is returned,
where each row corresponds to a firm (cross-section unit)
and each column corresponds to a time period.
If argument asInData is TRUE,
a vector of fitted or predicted values is returned,
where the fitted values are in the same order
as the corresponding observations in the data set
used for the estimation
or the data set specified by argument newdata.
Author(s)
Arne Henningsen
See Also
Examples
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
# rice producers in the Philippines (panel data)
data( "riceProdPhil" )
library( "plm" )
riceProdPhil <- pdata.frame( riceProdPhil, c( "FMERCODE", "YEARDUM" ) )
# Error Components Frontier (Battese & Coelli 1992), no time effect
rice <- sfa( log( PROD ) ~ log( AREA ) + log( LABOR ) + log( NPK ),
data = riceProdPhil )
fitted( rice )
riceProdPhil$fitted <- fitted( rice, asInData = TRUE )
# Error Components Frontier (Battese & Coelli 1992), with time effect
riceTime <- sfa( log( PROD ) ~ log( AREA ) + log( LABOR ) + log( NPK ),
data = riceProdPhil, timeEffect = TRUE )
fitted( riceTime )
riceProdPhil$fittedTime <- fitted( riceTime, asInData = TRUE )
Example output
Loading required package: micEcon
If you have questions, suggestions, or comments regarding one of the 'micEcon' packages, please use a forum or 'tracker' at micEcon's R-Forge site:
https://r-forge.r-project.org/projects/micecon/
Loading required package: lmtest
Loading required package: zoo
Attaching package: 'zoo'
The following objects are masked from 'package:base':
as.Date, as.Date.numeric
Please cite the 'frontier' package as:
Tim Coelli and Arne Henningsen (2013). frontier: Stochastic Frontier Analysis. R package version 1.1. http://CRAN.R-Project.org/package=frontier.
If you have questions, suggestions, or comments regarding the 'frontier' package, please use a forum or 'tracker' at frontier's R-Forge site:
https://r-forge.r-project.org/projects/frontier/
Loading required package: Formula
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[17,] 2.8131232 2.5663713
[18,] 3.2728735 3.2519972
[19,] 2.8184401 2.7371239
[20,] 2.6548456 2.6426513
[21,] 2.3872206 2.4353622
[22,] 1.8355560 1.7125266
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[24,] 2.2147599 2.3936766
[25,] 2.6673727 2.5995270
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[27,] 1.7039137 2.1639738
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[29,] 1.7016790 1.8440891
[30,] 0.5176787 -0.2769651
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[39,] 0.5758531 0.7347963
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[43,] 1.5125497 1.8384194
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[5,] 2.4381937 2.4263436
[6,] 0.5073294 0.8323104
[7,] 2.5613170 1.9962774
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[10,] 2.4318050 2.4718745
[11,] 1.5570813 1.5838661
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[14,] 1.5713270 1.6383949
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[16,] 0.5045430 0.6188231
[17,] 2.7817526 2.5555272
[18,] 3.2734386 3.2574984
[19,] 2.8151186 2.7278726
[20,] 2.6473733 2.6394127
[21,] 2.3960744 2.4489911
[22,] 1.8286428 1.6962937
[23,] 3.1421369 3.1007704
[24,] 2.2228544 2.3937697
[25,] 2.6717289 2.6095170
[26,] 1.3753179 1.3982436
[27,] 1.6862883 2.1680137
[28,] 0.8935540 0.8793005
[29,] 1.6960474 1.8379572
[30,] 0.5130898 -0.2766544
[31,] 0.8597672 0.8096350
[32,] 0.9306595 1.1310530
[33,] 0.7529510 0.8497845
[34,] 1.2913515 1.2708070
[35,] 2.2376301 2.2085609
[36,] 1.9286910 1.9963214
[37,] 1.1296011 1.2833152
[38,] 0.8949829 0.8380931
[39,] 0.5640846 0.7550433
[40,] 1.7537081 1.7871774
[41,] 1.2621889 1.3469924
[42,] 1.9419289 2.0258172
[43,] 1.5110328 1.8462669
frontier documentation built on April 19, 2020, 3:54 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
View source: R/fitted.frontier.R
Description
This method returns the fitted and predicted “frontier” values
from stochastic frontier models
estimated with the frontier package
(e.g. function sfa).
Usage
1 2 3 4 5 |
Arguments
object |
a stochastic frontier model
estimated with the frontier package
(e.g. function |
newdata |
an optional data frame from which the explanatory variables
are used to calculate the predicted “frontier” values.
If this argument is |
asInData |
logical. If |
... |
currently ignored. |
Value
If argument asInData is FALSE,
a matrix of the fitted or predicted values is returned,
where each row corresponds to a firm (cross-section unit)
and each column corresponds to a time period.
If argument asInData is TRUE,
a vector of fitted or predicted values is returned,
where the fitted values are in the same order
as the corresponding observations in the data set
used for the estimation
or the data set specified by argument newdata.
Author(s)
Arne Henningsen
See Also
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | # rice producers in the Philippines (panel data)
data( "riceProdPhil" )
library( "plm" )
riceProdPhil <- pdata.frame( riceProdPhil, c( "FMERCODE", "YEARDUM" ) )
# Error Components Frontier (Battese & Coelli 1992), no time effect
rice <- sfa( log( PROD ) ~ log( AREA ) + log( LABOR ) + log( NPK ),
data = riceProdPhil )
fitted( rice )
riceProdPhil$fitted <- fitted( rice, asInData = TRUE )
# Error Components Frontier (Battese & Coelli 1992), with time effect
riceTime <- sfa( log( PROD ) ~ log( AREA ) + log( LABOR ) + log( NPK ),
data = riceProdPhil, timeEffect = TRUE )
fitted( riceTime )
riceProdPhil$fittedTime <- fitted( riceTime, asInData = TRUE )
|
Example output
Loading required package: micEcon
If you have questions, suggestions, or comments regarding one of the 'micEcon' packages, please use a forum or 'tracker' at micEcon's R-Forge site:
https://r-forge.r-project.org/projects/micecon/
Loading required package: lmtest
Loading required package: zoo
Attaching package: 'zoo'
The following objects are masked from 'package:base':
as.Date, as.Date.numeric
Please cite the 'frontier' package as:
Tim Coelli and Arne Henningsen (2013). frontier: Stochastic Frontier Analysis. R package version 1.1. http://CRAN.R-Project.org/package=frontier.
If you have questions, suggestions, or comments regarding the 'frontier' package, please use a forum or 'tracker' at frontier's R-Forge site:
https://r-forge.r-project.org/projects/frontier/
Loading required package: Formula
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 2.2658476 2.30175505 2.35241216 2.3083318 2.34629083 2.18773429
[2,] 2.5810029 2.43572097 2.63040095 2.7575751 2.71830320 2.65494722
[3,] 2.4653409 2.65881410 2.64278653 2.6321378 2.67486070 2.35645633
[4,] 1.5584614 1.51542257 1.37432589 1.5379264 1.53016950 1.68335206
[5,] 2.2954252 2.41086715 2.40499181 2.4461574 2.41576723 2.35859001
[6,] 0.5648255 0.36455881 0.66170879 0.6172832 0.65874381 0.50181443
[7,] 1.9750459 1.94065683 1.99963155 1.8810903 1.97850047 2.75189347
[8,] 1.9240944 1.83428165 1.94101986 1.9769206 1.91116604 2.00303651
[9,] 2.3765160 2.31254754 2.35539106 2.3981535 2.30257215 2.39002504
[10,] 2.5021216 2.48629447 2.50011527 2.3895770 2.33550974 2.31964765
[11,] 0.7723552 0.99341023 0.86009634 1.3957502 1.35549875 1.59212221
[12,] -0.1796256 0.02064104 0.04137437 -0.1392712 0.01724307 -0.08510986
[13,] 1.4885171 1.50352547 1.52014212 1.6297404 1.68824510 1.52418250
[14,] 2.2398184 2.20692482 2.07742763 1.8746507 1.75345107 1.78561564
[15,] 0.1887951 0.20744177 0.27717210 0.1685502 0.19374878 0.12884793
[16,] 0.8158874 0.74920578 0.99926612 0.6695972 0.73869830 0.70819650
[17,] 2.7171584 2.75505321 2.82811404 2.6722641 2.66708926 2.77566858
[18,] 2.9914010 2.99257174 3.05682065 3.0371471 3.09741048 3.34123260
[19,] 2.5922061 2.56441632 2.79027358 2.6706492 2.62879414 2.70225575
[20,] 2.5820451 2.57301498 2.67192965 2.6122935 2.60468137 2.67877901
[21,] 2.1372105 2.44735687 2.28340522 2.1608799 2.29594612 2.50212404
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[25,] 2.7822677 2.67835701 2.73699618 2.6716194 2.85575953 2.91987877
[26,] 1.3984701 1.39533534 1.51361890 1.5376646 1.40946864 1.43958905
[27,] 2.2372856 1.95074264 2.24963771 1.5908589 1.45561975 1.69739290
[28,] 1.6847790 1.71849745 1.72912677 1.7853345 1.67652467 1.76202127
[29,] 1.7053617 1.59171286 1.41283395 1.8489864 1.76037140 2.06511376
[30,] 1.5162758 1.48567050 0.25986232 0.3749315 0.31023018 0.25942597
[31,] 0.9568122 0.99815747 0.91496144 1.1888276 0.82361007 0.99548158
[32,] 0.9589472 1.02109801 0.98328499 1.2722480 1.06497949 1.04240898
[33,] 1.7880263 1.80773937 1.69962015 0.9169673 1.57321468 0.93602801
[34,] 0.8334854 0.75366921 0.87345414 0.8888203 0.53796931 1.25059581
[35,] 2.4867327 1.93056345 1.92942447 1.9396911 2.16587141 2.27849327
[36,] 1.6440716 1.52680418 1.39117810 2.0082957 2.00143711 1.89658642
[37,] 1.4734148 1.54301700 1.50308346 1.6147016 1.29352943 1.44756393
[38,] 2.7065871 2.70617691 2.76647316 2.4836831 2.73236962 0.94499063
[39,] 0.9717630 0.84826433 0.71155497 0.7670568 0.33776755 0.40536253
[40,] 1.9529420 1.91472667 1.82224698 1.8918818 1.95467220 2.02316027
[41,] 1.5486657 1.47116070 1.48832323 1.2532663 1.20221740 1.23700814
[42,] 1.8646253 1.94052520 1.97883650 1.8083218 1.63498139 2.18742633
[43,] 1.6771835 1.73263980 1.34601404 1.6574073 1.83620316 1.85010669
[,7] [,8]
[1,] 2.2582664 2.0357462
[2,] 2.6952542 2.3493296
[3,] 2.5584267 2.4379158
[4,] 1.6369678 1.5313962
[5,] 2.4348488 2.4070704
[6,] 0.5194496 0.8425869
[7,] 2.5692842 2.0174678
[8,] 2.0594835 1.9509973
[9,] 2.2274061 2.1410632
[10,] 2.4376605 2.4750937
[11,] 1.5478504 1.5802487
[12,] 0.2052915 0.1825621
[13,] 1.5386340 1.6272434
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[15,] 0.1198349 0.1328933
[16,] 0.4910670 0.6026642
[17,] 2.8131232 2.5663713
[18,] 3.2728735 3.2519972
[19,] 2.8184401 2.7371239
[20,] 2.6548456 2.6426513
[21,] 2.3872206 2.4353622
[22,] 1.8355560 1.7125266
[23,] 3.1595110 3.1038498
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[30,] 0.5176787 -0.2769651
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[38,] 0.9069844 0.8548216
[39,] 0.5758531 0.7347963
[40,] 1.7601281 1.7970266
[41,] 1.2357402 1.3314254
[42,] 1.9400953 2.0303102
[43,] 1.5125497 1.8384194
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[9,] 2.3940255 2.32499481 2.35663090 2.4129927 2.308639865 2.40336011
[10,] 2.5093530 2.48453907 2.50325270 2.3923080 2.331417400 2.31409320
[11,] 0.7743405 0.98255159 0.85388158 1.4229520 1.380717754 1.59745039
[12,] -0.1857826 0.02222785 0.01464401 -0.1582315 0.002028896 -0.07317825
[13,] 1.5027579 1.51591395 1.53163619 1.6418889 1.680675418 1.53794971
[14,] 2.2597548 2.22009188 2.09497056 1.8859139 1.764810422 1.78720009
[15,] 0.1751071 0.19447483 0.26833389 0.1708328 0.195206260 0.12558065
[16,] 0.8165267 0.74898236 0.96647841 0.6774956 0.738068588 0.72733509
[17,] 2.7288291 2.76221466 2.82095156 2.6637349 2.662802741 2.76132812
[18,] 2.9971279 2.99498883 3.05871400 3.0369212 3.100319927 3.33905134
[19,] 2.6090925 2.58022809 2.77976122 2.6728978 2.634589302 2.70303973
[20,] 2.5915064 2.57493407 2.65895051 2.6038196 2.606128820 2.67366011
[21,] 2.1506712 2.44495689 2.30639062 2.1872178 2.321132134 2.50856594
[22,] 1.6553235 1.68519186 1.71522647 1.7533040 1.708644929 1.79601646
[23,] 2.8521515 2.92741554 2.93993574 2.8626754 2.934633218 3.05928682
[24,] 2.2065632 2.12394962 2.29314253 2.0551732 2.259698919 2.39125935
[25,] 2.7770041 2.67449218 2.73509522 2.6749163 2.847315609 2.90641065
[26,] 1.4012780 1.40497485 1.51126274 1.5304028 1.397702367 1.42609851
[27,] 2.2303180 1.95372598 2.23607807 1.5779439 1.458536042 1.67842703
[28,] 1.6823431 1.71006350 1.72995540 1.7719982 1.669398324 1.75156215
[29,] 1.7313336 1.61101998 1.44244851 1.8549481 1.782785207 2.06538248
[30,] 1.5345578 1.49600891 0.29043822 0.3861924 0.317189821 0.26220593
[31,] 0.9636749 1.00661886 0.92192155 1.1957674 0.837647837 0.98682104
[32,] 0.9506510 1.01520496 0.98354542 1.2748215 1.060673299 1.03442584
[33,] 1.7956978 1.81297798 1.70682527 0.9241195 1.565559785 0.91439122
[34,] 0.8638570 0.78095457 0.90201615 0.9486949 0.582477986 1.25109430
[35,] 2.4859763 1.93144976 1.94522063 1.9538347 2.157228120 2.27555072
[36,] 1.6401822 1.52588259 1.40065685 2.0106413 2.011330479 1.90697721
[37,] 1.4572692 1.52969014 1.47725324 1.5819196 1.301171997 1.43697038
[38,] 2.7234775 2.72117458 2.77052839 2.5013503 2.734715368 0.93365641
[39,] 0.9894831 0.86120902 0.73643768 0.7958851 0.345791988 0.40058140
[40,] 1.9519600 1.91226701 1.82003605 1.8922415 1.957826859 2.02920987
[41,] 1.5585047 1.48431177 1.50132135 1.2876255 1.232803313 1.28102232
[42,] 1.8770218 1.94879563 1.98126371 1.8165971 1.640598039 2.18365896
[43,] 1.6861138 1.73631357 1.35164254 1.6787082 1.852280491 1.85466637
[,7] [,8]
[1,] 2.2433138 2.0281585
[2,] 2.6873026 2.3657728
[3,] 2.5691327 2.4438906
[4,] 1.6311684 1.5306697
[5,] 2.4381937 2.4263436
[6,] 0.5073294 0.8323104
[7,] 2.5613170 1.9962774
[8,] 2.0541459 1.9422988
[9,] 2.2269247 2.1482477
[10,] 2.4318050 2.4718745
[11,] 1.5570813 1.5838661
[12,] 0.2030476 0.1690696
[13,] 1.5282836 1.6219612
[14,] 1.5713270 1.6383949
[15,] 0.1079564 0.1291267
[16,] 0.5045430 0.6188231
[17,] 2.7817526 2.5555272
[18,] 3.2734386 3.2574984
[19,] 2.8151186 2.7278726
[20,] 2.6473733 2.6394127
[21,] 2.3960744 2.4489911
[22,] 1.8286428 1.6962937
[23,] 3.1421369 3.1007704
[24,] 2.2228544 2.3937697
[25,] 2.6717289 2.6095170
[26,] 1.3753179 1.3982436
[27,] 1.6862883 2.1680137
[28,] 0.8935540 0.8793005
[29,] 1.6960474 1.8379572
[30,] 0.5130898 -0.2766544
[31,] 0.8597672 0.8096350
[32,] 0.9306595 1.1310530
[33,] 0.7529510 0.8497845
[34,] 1.2913515 1.2708070
[35,] 2.2376301 2.2085609
[36,] 1.9286910 1.9963214
[37,] 1.1296011 1.2833152
[38,] 0.8949829 0.8380931
[39,] 0.5640846 0.7550433
[40,] 1.7537081 1.7871774
[41,] 1.2621889 1.3469924
[42,] 1.9419289 2.0258172
[43,] 1.5110328 1.8462669
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