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Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationFri, 02 Jan 2015 13:16:00 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Jan/02/t1420204983l0pap8u20cns0ca.htm/, Retrieved Tue, 14 May 2024 21:11:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271850, Retrieved Tue, 14 May 2024 21:11:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact158
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [] [2015-01-02 13:16:00] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
109.03
110.43
111.01
111.01
110.76
111.13
111.07
111.09
110.96
110.64
110.62
110.59
111.33
113.94
114.61
114.64
114.62
114.71
114.72
114.66
114.76
114.68
114.75
114.74
116.36
117.53
118.82
119.83
119.97
121.29
120.94
121.02
120.98
121.02
120.89
120.76
123.28
123.98
125.91
125.84
125.98
127.24
127.23
127.82
127.59
127.74
127.44
127.35
128.54
129.3
130.67
130.76
131.34
130.69
130.96
130.68
130.61
130.59
130.44
129.04
131.46
132.77
134.48
134.52
136.11
136.12
136.03
135.84
137.75
137.45
136.84
136.79
140.12
140.68
140.35
140.42
140.19
140.14
140.13
139.45
139.59
139.44
139.53
139.28




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271850&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271850&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271850&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean125.3144047619051.110631837962112.831633740894
Geometric Mean124.903584882763
Harmonic Mean124.491574124984
Quadratic Mean125.722236682413
Winsorized Mean ( 1 / 28 )125.3279761904761.10729658669973113.183746519091
Winsorized Mean ( 2 / 28 )125.3301190476191.10640894272343113.276487750649
Winsorized Mean ( 3 / 28 )125.3254761904761.10530683331657113.385236038419
Winsorized Mean ( 4 / 28 )125.3240476190481.10476900178493113.439141953265
Winsorized Mean ( 5 / 28 )125.3305952380951.10353275811229113.572156618609
Winsorized Mean ( 6 / 28 )125.3441666666671.10115685540464113.829529418501
Winsorized Mean ( 7 / 28 )125.3041666666671.09345425296953114.594795645427
Winsorized Mean ( 8 / 28 )125.2984523809521.09255611867887114.683767944538
Winsorized Mean ( 9 / 28 )125.2963095238091.09020134754626114.929512613259
Winsorized Mean ( 10 / 28 )125.29751.08964098045813114.989709681551
Winsorized Mean ( 11 / 28 )125.2817857142861.08555236118705115.408330536254
Winsorized Mean ( 12 / 28 )125.0917857142861.04814995829556119.345313830573
Winsorized Mean ( 13 / 28 )125.4492857142860.980734512078425127.9136037014
Winsorized Mean ( 14 / 28 )125.4592857142860.950325981842341132.017105826219
Winsorized Mean ( 15 / 28 )125.4521428571430.948793494689933132.222810926988
Winsorized Mean ( 16 / 28 )125.3283333333330.930158837405524134.738636341842
Winsorized Mean ( 17 / 28 )125.3303571428570.929315821325959134.863040386028
Winsorized Mean ( 18 / 28 )125.31750.926330753767675135.283752040289
Winsorized Mean ( 19 / 28 )125.281309523810.919424175289495136.260621474699
Winsorized Mean ( 20 / 28 )124.9694047619050.876697343175836142.545663831036
Winsorized Mean ( 21 / 28 )124.9644047619050.874681506680796142.868465615689
Winsorized Mean ( 22 / 28 )124.5191666666670.817662228922331152.286802865752
Winsorized Mean ( 23 / 28 )124.1632142857140.775079922233521160.194078989838
Winsorized Mean ( 24 / 28 )124.5860714285710.705582872005318176.571847718594
Winsorized Mean ( 25 / 28 )124.821190476190.644344040727954193.718235269426
Winsorized Mean ( 26 / 28 )125.1585714285710.583827537793266214.375930093401
Winsorized Mean ( 27 / 28 )125.4607142857140.539539039185622232.533153625147
Winsorized Mean ( 28 / 28 )125.5040476190480.533298338255418235.335531008046
Trimmed Mean ( 1 / 28 )125.3256097560981.10422594526581113.496345827963
Trimmed Mean ( 2 / 28 )125.3231251.10012725952227113.916934532121
Trimmed Mean ( 3 / 28 )125.3193589743591.09536124713709114.409158897945
Trimmed Mean ( 4 / 28 )125.3171052631581.08973592191016114.997682230658
Trimmed Mean ( 5 / 28 )125.3151351351351.08281253145515115.731145969218
Trimmed Mean ( 6 / 28 )125.3115277777781.07453268329519116.619559112426
Trimmed Mean ( 7 / 28 )125.3051.06488850396646117.669595956073
Trimmed Mean ( 8 / 28 )125.3051470588241.05477212091981118.798311572316
Trimmed Mean ( 9 / 28 )125.3062121212121.04246142209541120.202253498589
Trimmed Mean ( 10 / 28 )125.307656251.02780505025937121.917727703691
Trimmed Mean ( 11 / 28 )125.3090322580651.00992852053396124.077129925801
Trimmed Mean ( 12 / 28 )125.31250.988812922530198126.730241024103
Trimmed Mean ( 13 / 28 )125.3391379310340.970059286969045129.207708863504
Trimmed Mean ( 14 / 28 )125.3264285714290.959297173346379130.644009024069
Trimmed Mean ( 15 / 28 )125.3116666666670.950735738858731131.804939632428
Trimmed Mean ( 16 / 28 )125.2965384615380.939513363838282133.363231736963
Trimmed Mean ( 17 / 28 )125.29320.928059614552463135.005551405682
Trimmed Mean ( 18 / 28 )125.2893750.912895955395122137.243871286265
Trimmed Mean ( 19 / 28 )125.286521739130.893395748273393140.236308468295
Trimmed Mean ( 20 / 28 )125.2870454545450.869054587017537144.164759413458
Trimmed Mean ( 21 / 28 )125.318809523810.84583829191644148.159300331357
Trimmed Mean ( 22 / 28 )125.354250.814965382897036153.81542901171
Trimmed Mean ( 23 / 28 )125.4381578947370.785896291398566159.611591589915
Trimmed Mean ( 24 / 28 )125.56750.754617571072546166.398855279144
Trimmed Mean ( 25 / 28 )125.6685294117650.730697678028406171.984301018785
Trimmed Mean ( 26 / 28 )125.75750.713188405411153176.331385992599
Trimmed Mean ( 27 / 28 )125.8220.704084862962465178.702890260414
Trimmed Mean ( 28 / 28 )125.8621428571430.701135956055437179.511750567234
Median127.235
Midrange124.855
Midmean - Weighted Average at Xnp125.072325581395
Midmean - Weighted Average at X(n+1)p125.31880952381
Midmean - Empirical Distribution Function125.072325581395
Midmean - Empirical Distribution Function - Averaging125.31880952381
Midmean - Empirical Distribution Function - Interpolation125.31880952381
Midmean - Closest Observation125.072325581395
Midmean - True Basic - Statistics Graphics Toolkit125.31880952381
Midmean - MS Excel (old versions)125.287045454545
Number of observations84

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 125.314404761905 & 1.110631837962 & 112.831633740894 \tabularnewline
Geometric Mean & 124.903584882763 &  &  \tabularnewline
Harmonic Mean & 124.491574124984 &  &  \tabularnewline
Quadratic Mean & 125.722236682413 &  &  \tabularnewline
Winsorized Mean ( 1 / 28 ) & 125.327976190476 & 1.10729658669973 & 113.183746519091 \tabularnewline
Winsorized Mean ( 2 / 28 ) & 125.330119047619 & 1.10640894272343 & 113.276487750649 \tabularnewline
Winsorized Mean ( 3 / 28 ) & 125.325476190476 & 1.10530683331657 & 113.385236038419 \tabularnewline
Winsorized Mean ( 4 / 28 ) & 125.324047619048 & 1.10476900178493 & 113.439141953265 \tabularnewline
Winsorized Mean ( 5 / 28 ) & 125.330595238095 & 1.10353275811229 & 113.572156618609 \tabularnewline
Winsorized Mean ( 6 / 28 ) & 125.344166666667 & 1.10115685540464 & 113.829529418501 \tabularnewline
Winsorized Mean ( 7 / 28 ) & 125.304166666667 & 1.09345425296953 & 114.594795645427 \tabularnewline
Winsorized Mean ( 8 / 28 ) & 125.298452380952 & 1.09255611867887 & 114.683767944538 \tabularnewline
Winsorized Mean ( 9 / 28 ) & 125.296309523809 & 1.09020134754626 & 114.929512613259 \tabularnewline
Winsorized Mean ( 10 / 28 ) & 125.2975 & 1.08964098045813 & 114.989709681551 \tabularnewline
Winsorized Mean ( 11 / 28 ) & 125.281785714286 & 1.08555236118705 & 115.408330536254 \tabularnewline
Winsorized Mean ( 12 / 28 ) & 125.091785714286 & 1.04814995829556 & 119.345313830573 \tabularnewline
Winsorized Mean ( 13 / 28 ) & 125.449285714286 & 0.980734512078425 & 127.9136037014 \tabularnewline
Winsorized Mean ( 14 / 28 ) & 125.459285714286 & 0.950325981842341 & 132.017105826219 \tabularnewline
Winsorized Mean ( 15 / 28 ) & 125.452142857143 & 0.948793494689933 & 132.222810926988 \tabularnewline
Winsorized Mean ( 16 / 28 ) & 125.328333333333 & 0.930158837405524 & 134.738636341842 \tabularnewline
Winsorized Mean ( 17 / 28 ) & 125.330357142857 & 0.929315821325959 & 134.863040386028 \tabularnewline
Winsorized Mean ( 18 / 28 ) & 125.3175 & 0.926330753767675 & 135.283752040289 \tabularnewline
Winsorized Mean ( 19 / 28 ) & 125.28130952381 & 0.919424175289495 & 136.260621474699 \tabularnewline
Winsorized Mean ( 20 / 28 ) & 124.969404761905 & 0.876697343175836 & 142.545663831036 \tabularnewline
Winsorized Mean ( 21 / 28 ) & 124.964404761905 & 0.874681506680796 & 142.868465615689 \tabularnewline
Winsorized Mean ( 22 / 28 ) & 124.519166666667 & 0.817662228922331 & 152.286802865752 \tabularnewline
Winsorized Mean ( 23 / 28 ) & 124.163214285714 & 0.775079922233521 & 160.194078989838 \tabularnewline
Winsorized Mean ( 24 / 28 ) & 124.586071428571 & 0.705582872005318 & 176.571847718594 \tabularnewline
Winsorized Mean ( 25 / 28 ) & 124.82119047619 & 0.644344040727954 & 193.718235269426 \tabularnewline
Winsorized Mean ( 26 / 28 ) & 125.158571428571 & 0.583827537793266 & 214.375930093401 \tabularnewline
Winsorized Mean ( 27 / 28 ) & 125.460714285714 & 0.539539039185622 & 232.533153625147 \tabularnewline
Winsorized Mean ( 28 / 28 ) & 125.504047619048 & 0.533298338255418 & 235.335531008046 \tabularnewline
Trimmed Mean ( 1 / 28 ) & 125.325609756098 & 1.10422594526581 & 113.496345827963 \tabularnewline
Trimmed Mean ( 2 / 28 ) & 125.323125 & 1.10012725952227 & 113.916934532121 \tabularnewline
Trimmed Mean ( 3 / 28 ) & 125.319358974359 & 1.09536124713709 & 114.409158897945 \tabularnewline
Trimmed Mean ( 4 / 28 ) & 125.317105263158 & 1.08973592191016 & 114.997682230658 \tabularnewline
Trimmed Mean ( 5 / 28 ) & 125.315135135135 & 1.08281253145515 & 115.731145969218 \tabularnewline
Trimmed Mean ( 6 / 28 ) & 125.311527777778 & 1.07453268329519 & 116.619559112426 \tabularnewline
Trimmed Mean ( 7 / 28 ) & 125.305 & 1.06488850396646 & 117.669595956073 \tabularnewline
Trimmed Mean ( 8 / 28 ) & 125.305147058824 & 1.05477212091981 & 118.798311572316 \tabularnewline
Trimmed Mean ( 9 / 28 ) & 125.306212121212 & 1.04246142209541 & 120.202253498589 \tabularnewline
Trimmed Mean ( 10 / 28 ) & 125.30765625 & 1.02780505025937 & 121.917727703691 \tabularnewline
Trimmed Mean ( 11 / 28 ) & 125.309032258065 & 1.00992852053396 & 124.077129925801 \tabularnewline
Trimmed Mean ( 12 / 28 ) & 125.3125 & 0.988812922530198 & 126.730241024103 \tabularnewline
Trimmed Mean ( 13 / 28 ) & 125.339137931034 & 0.970059286969045 & 129.207708863504 \tabularnewline
Trimmed Mean ( 14 / 28 ) & 125.326428571429 & 0.959297173346379 & 130.644009024069 \tabularnewline
Trimmed Mean ( 15 / 28 ) & 125.311666666667 & 0.950735738858731 & 131.804939632428 \tabularnewline
Trimmed Mean ( 16 / 28 ) & 125.296538461538 & 0.939513363838282 & 133.363231736963 \tabularnewline
Trimmed Mean ( 17 / 28 ) & 125.2932 & 0.928059614552463 & 135.005551405682 \tabularnewline
Trimmed Mean ( 18 / 28 ) & 125.289375 & 0.912895955395122 & 137.243871286265 \tabularnewline
Trimmed Mean ( 19 / 28 ) & 125.28652173913 & 0.893395748273393 & 140.236308468295 \tabularnewline
Trimmed Mean ( 20 / 28 ) & 125.287045454545 & 0.869054587017537 & 144.164759413458 \tabularnewline
Trimmed Mean ( 21 / 28 ) & 125.31880952381 & 0.84583829191644 & 148.159300331357 \tabularnewline
Trimmed Mean ( 22 / 28 ) & 125.35425 & 0.814965382897036 & 153.81542901171 \tabularnewline
Trimmed Mean ( 23 / 28 ) & 125.438157894737 & 0.785896291398566 & 159.611591589915 \tabularnewline
Trimmed Mean ( 24 / 28 ) & 125.5675 & 0.754617571072546 & 166.398855279144 \tabularnewline
Trimmed Mean ( 25 / 28 ) & 125.668529411765 & 0.730697678028406 & 171.984301018785 \tabularnewline
Trimmed Mean ( 26 / 28 ) & 125.7575 & 0.713188405411153 & 176.331385992599 \tabularnewline
Trimmed Mean ( 27 / 28 ) & 125.822 & 0.704084862962465 & 178.702890260414 \tabularnewline
Trimmed Mean ( 28 / 28 ) & 125.862142857143 & 0.701135956055437 & 179.511750567234 \tabularnewline
Median & 127.235 &  &  \tabularnewline
Midrange & 124.855 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 125.072325581395 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 125.31880952381 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 125.072325581395 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 125.31880952381 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 125.31880952381 &  &  \tabularnewline
Midmean - Closest Observation & 125.072325581395 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 125.31880952381 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 125.287045454545 &  &  \tabularnewline
Number of observations & 84 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271850&T=1

[TABLE]
[ROW][C]Central Tendency - Ungrouped Data[/C][/ROW]
[ROW][C]Measure[/C][C]Value[/C][C]S.E.[/C][C]Value/S.E.[/C][/ROW]
[ROW][C]Arithmetic Mean[/C][C]125.314404761905[/C][C]1.110631837962[/C][C]112.831633740894[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]124.903584882763[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]124.491574124984[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]125.722236682413[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 28 )[/C][C]125.327976190476[/C][C]1.10729658669973[/C][C]113.183746519091[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 28 )[/C][C]125.330119047619[/C][C]1.10640894272343[/C][C]113.276487750649[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 28 )[/C][C]125.325476190476[/C][C]1.10530683331657[/C][C]113.385236038419[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 28 )[/C][C]125.324047619048[/C][C]1.10476900178493[/C][C]113.439141953265[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 28 )[/C][C]125.330595238095[/C][C]1.10353275811229[/C][C]113.572156618609[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 28 )[/C][C]125.344166666667[/C][C]1.10115685540464[/C][C]113.829529418501[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 28 )[/C][C]125.304166666667[/C][C]1.09345425296953[/C][C]114.594795645427[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 28 )[/C][C]125.298452380952[/C][C]1.09255611867887[/C][C]114.683767944538[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 28 )[/C][C]125.296309523809[/C][C]1.09020134754626[/C][C]114.929512613259[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 28 )[/C][C]125.2975[/C][C]1.08964098045813[/C][C]114.989709681551[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 28 )[/C][C]125.281785714286[/C][C]1.08555236118705[/C][C]115.408330536254[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 28 )[/C][C]125.091785714286[/C][C]1.04814995829556[/C][C]119.345313830573[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 28 )[/C][C]125.449285714286[/C][C]0.980734512078425[/C][C]127.9136037014[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 28 )[/C][C]125.459285714286[/C][C]0.950325981842341[/C][C]132.017105826219[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 28 )[/C][C]125.452142857143[/C][C]0.948793494689933[/C][C]132.222810926988[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 28 )[/C][C]125.328333333333[/C][C]0.930158837405524[/C][C]134.738636341842[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 28 )[/C][C]125.330357142857[/C][C]0.929315821325959[/C][C]134.863040386028[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 28 )[/C][C]125.3175[/C][C]0.926330753767675[/C][C]135.283752040289[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 28 )[/C][C]125.28130952381[/C][C]0.919424175289495[/C][C]136.260621474699[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 28 )[/C][C]124.969404761905[/C][C]0.876697343175836[/C][C]142.545663831036[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 28 )[/C][C]124.964404761905[/C][C]0.874681506680796[/C][C]142.868465615689[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 28 )[/C][C]124.519166666667[/C][C]0.817662228922331[/C][C]152.286802865752[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 28 )[/C][C]124.163214285714[/C][C]0.775079922233521[/C][C]160.194078989838[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 28 )[/C][C]124.586071428571[/C][C]0.705582872005318[/C][C]176.571847718594[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 28 )[/C][C]124.82119047619[/C][C]0.644344040727954[/C][C]193.718235269426[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 28 )[/C][C]125.158571428571[/C][C]0.583827537793266[/C][C]214.375930093401[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 28 )[/C][C]125.460714285714[/C][C]0.539539039185622[/C][C]232.533153625147[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 28 )[/C][C]125.504047619048[/C][C]0.533298338255418[/C][C]235.335531008046[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 28 )[/C][C]125.325609756098[/C][C]1.10422594526581[/C][C]113.496345827963[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 28 )[/C][C]125.323125[/C][C]1.10012725952227[/C][C]113.916934532121[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 28 )[/C][C]125.319358974359[/C][C]1.09536124713709[/C][C]114.409158897945[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 28 )[/C][C]125.317105263158[/C][C]1.08973592191016[/C][C]114.997682230658[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 28 )[/C][C]125.315135135135[/C][C]1.08281253145515[/C][C]115.731145969218[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 28 )[/C][C]125.311527777778[/C][C]1.07453268329519[/C][C]116.619559112426[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 28 )[/C][C]125.305[/C][C]1.06488850396646[/C][C]117.669595956073[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 28 )[/C][C]125.305147058824[/C][C]1.05477212091981[/C][C]118.798311572316[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 28 )[/C][C]125.306212121212[/C][C]1.04246142209541[/C][C]120.202253498589[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 28 )[/C][C]125.30765625[/C][C]1.02780505025937[/C][C]121.917727703691[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 28 )[/C][C]125.309032258065[/C][C]1.00992852053396[/C][C]124.077129925801[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 28 )[/C][C]125.3125[/C][C]0.988812922530198[/C][C]126.730241024103[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 28 )[/C][C]125.339137931034[/C][C]0.970059286969045[/C][C]129.207708863504[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 28 )[/C][C]125.326428571429[/C][C]0.959297173346379[/C][C]130.644009024069[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 28 )[/C][C]125.311666666667[/C][C]0.950735738858731[/C][C]131.804939632428[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 28 )[/C][C]125.296538461538[/C][C]0.939513363838282[/C][C]133.363231736963[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 28 )[/C][C]125.2932[/C][C]0.928059614552463[/C][C]135.005551405682[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 28 )[/C][C]125.289375[/C][C]0.912895955395122[/C][C]137.243871286265[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 28 )[/C][C]125.28652173913[/C][C]0.893395748273393[/C][C]140.236308468295[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 28 )[/C][C]125.287045454545[/C][C]0.869054587017537[/C][C]144.164759413458[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 28 )[/C][C]125.31880952381[/C][C]0.84583829191644[/C][C]148.159300331357[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 28 )[/C][C]125.35425[/C][C]0.814965382897036[/C][C]153.81542901171[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 28 )[/C][C]125.438157894737[/C][C]0.785896291398566[/C][C]159.611591589915[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 28 )[/C][C]125.5675[/C][C]0.754617571072546[/C][C]166.398855279144[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 28 )[/C][C]125.668529411765[/C][C]0.730697678028406[/C][C]171.984301018785[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 28 )[/C][C]125.7575[/C][C]0.713188405411153[/C][C]176.331385992599[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 28 )[/C][C]125.822[/C][C]0.704084862962465[/C][C]178.702890260414[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 28 )[/C][C]125.862142857143[/C][C]0.701135956055437[/C][C]179.511750567234[/C][/ROW]
[ROW][C]Median[/C][C]127.235[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]124.855[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]125.072325581395[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]125.31880952381[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]125.072325581395[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]125.31880952381[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]125.31880952381[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]125.072325581395[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]125.31880952381[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]125.287045454545[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]84[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271850&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271850&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean125.3144047619051.110631837962112.831633740894
Geometric Mean124.903584882763
Harmonic Mean124.491574124984
Quadratic Mean125.722236682413
Winsorized Mean ( 1 / 28 )125.3279761904761.10729658669973113.183746519091
Winsorized Mean ( 2 / 28 )125.3301190476191.10640894272343113.276487750649
Winsorized Mean ( 3 / 28 )125.3254761904761.10530683331657113.385236038419
Winsorized Mean ( 4 / 28 )125.3240476190481.10476900178493113.439141953265
Winsorized Mean ( 5 / 28 )125.3305952380951.10353275811229113.572156618609
Winsorized Mean ( 6 / 28 )125.3441666666671.10115685540464113.829529418501
Winsorized Mean ( 7 / 28 )125.3041666666671.09345425296953114.594795645427
Winsorized Mean ( 8 / 28 )125.2984523809521.09255611867887114.683767944538
Winsorized Mean ( 9 / 28 )125.2963095238091.09020134754626114.929512613259
Winsorized Mean ( 10 / 28 )125.29751.08964098045813114.989709681551
Winsorized Mean ( 11 / 28 )125.2817857142861.08555236118705115.408330536254
Winsorized Mean ( 12 / 28 )125.0917857142861.04814995829556119.345313830573
Winsorized Mean ( 13 / 28 )125.4492857142860.980734512078425127.9136037014
Winsorized Mean ( 14 / 28 )125.4592857142860.950325981842341132.017105826219
Winsorized Mean ( 15 / 28 )125.4521428571430.948793494689933132.222810926988
Winsorized Mean ( 16 / 28 )125.3283333333330.930158837405524134.738636341842
Winsorized Mean ( 17 / 28 )125.3303571428570.929315821325959134.863040386028
Winsorized Mean ( 18 / 28 )125.31750.926330753767675135.283752040289
Winsorized Mean ( 19 / 28 )125.281309523810.919424175289495136.260621474699
Winsorized Mean ( 20 / 28 )124.9694047619050.876697343175836142.545663831036
Winsorized Mean ( 21 / 28 )124.9644047619050.874681506680796142.868465615689
Winsorized Mean ( 22 / 28 )124.5191666666670.817662228922331152.286802865752
Winsorized Mean ( 23 / 28 )124.1632142857140.775079922233521160.194078989838
Winsorized Mean ( 24 / 28 )124.5860714285710.705582872005318176.571847718594
Winsorized Mean ( 25 / 28 )124.821190476190.644344040727954193.718235269426
Winsorized Mean ( 26 / 28 )125.1585714285710.583827537793266214.375930093401
Winsorized Mean ( 27 / 28 )125.4607142857140.539539039185622232.533153625147
Winsorized Mean ( 28 / 28 )125.5040476190480.533298338255418235.335531008046
Trimmed Mean ( 1 / 28 )125.3256097560981.10422594526581113.496345827963
Trimmed Mean ( 2 / 28 )125.3231251.10012725952227113.916934532121
Trimmed Mean ( 3 / 28 )125.3193589743591.09536124713709114.409158897945
Trimmed Mean ( 4 / 28 )125.3171052631581.08973592191016114.997682230658
Trimmed Mean ( 5 / 28 )125.3151351351351.08281253145515115.731145969218
Trimmed Mean ( 6 / 28 )125.3115277777781.07453268329519116.619559112426
Trimmed Mean ( 7 / 28 )125.3051.06488850396646117.669595956073
Trimmed Mean ( 8 / 28 )125.3051470588241.05477212091981118.798311572316
Trimmed Mean ( 9 / 28 )125.3062121212121.04246142209541120.202253498589
Trimmed Mean ( 10 / 28 )125.307656251.02780505025937121.917727703691
Trimmed Mean ( 11 / 28 )125.3090322580651.00992852053396124.077129925801
Trimmed Mean ( 12 / 28 )125.31250.988812922530198126.730241024103
Trimmed Mean ( 13 / 28 )125.3391379310340.970059286969045129.207708863504
Trimmed Mean ( 14 / 28 )125.3264285714290.959297173346379130.644009024069
Trimmed Mean ( 15 / 28 )125.3116666666670.950735738858731131.804939632428
Trimmed Mean ( 16 / 28 )125.2965384615380.939513363838282133.363231736963
Trimmed Mean ( 17 / 28 )125.29320.928059614552463135.005551405682
Trimmed Mean ( 18 / 28 )125.2893750.912895955395122137.243871286265
Trimmed Mean ( 19 / 28 )125.286521739130.893395748273393140.236308468295
Trimmed Mean ( 20 / 28 )125.2870454545450.869054587017537144.164759413458
Trimmed Mean ( 21 / 28 )125.318809523810.84583829191644148.159300331357
Trimmed Mean ( 22 / 28 )125.354250.814965382897036153.81542901171
Trimmed Mean ( 23 / 28 )125.4381578947370.785896291398566159.611591589915
Trimmed Mean ( 24 / 28 )125.56750.754617571072546166.398855279144
Trimmed Mean ( 25 / 28 )125.6685294117650.730697678028406171.984301018785
Trimmed Mean ( 26 / 28 )125.75750.713188405411153176.331385992599
Trimmed Mean ( 27 / 28 )125.8220.704084862962465178.702890260414
Trimmed Mean ( 28 / 28 )125.8621428571430.701135956055437179.511750567234
Median127.235
Midrange124.855
Midmean - Weighted Average at Xnp125.072325581395
Midmean - Weighted Average at X(n+1)p125.31880952381
Midmean - Empirical Distribution Function125.072325581395
Midmean - Empirical Distribution Function - Averaging125.31880952381
Midmean - Empirical Distribution Function - Interpolation125.31880952381
Midmean - Closest Observation125.072325581395
Midmean - True Basic - Statistics Graphics Toolkit125.31880952381
Midmean - MS Excel (old versions)125.287045454545
Number of observations84



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
geomean <- function(x) {
return(exp(mean(log(x))))
}
harmean <- function(x) {
return(1/mean(1/x))
}
quamean <- function(x) {
return(sqrt(mean(x*x)))
}
winmean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
win <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
win[j,1] <- (j*x[j+1]+sum(x[(j+1):(n-j)])+j*x[n-j])/n
win[j,2] <- sd(c(rep(x[j+1],j),x[(j+1):(n-j)],rep(x[n-j],j)))/sqrtn
}
return(win)
}
trimean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
tri <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
tri[j,1] <- mean(x,trim=j/n)
tri[j,2] <- sd(x[(j+1):(n-j)]) / sqrt(n-j*2)
}
return(tri)
}
midrange <- function(x) {
return((max(x)+min(x))/2)
}
q1 <- function(data,n,p,i,f) {
np <- n*p;
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q2 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q3 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
q4 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- (data[i]+data[i+1])/2
} else {
qvalue <- data[i+1]
}
}
q5 <- function(data,n,p,i,f) {
np <- (n-1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i+1]
} else {
qvalue <- data[i+1] + f*(data[i+2]-data[i+1])
}
}
q6 <- function(data,n,p,i,f) {
np <- n*p+0.5
i <<- floor(np)
f <<- np - i
qvalue <- data[i]
}
q7 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- f*data[i] + (1-f)*data[i+1]
}
}
q8 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
if (f == 0.5) {
qvalue <- (data[i]+data[i+1])/2
} else {
if (f < 0.5) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
}
}
midmean <- function(x,def) {
x <-sort(x[!is.na(x)])
n<-length(x)
if (def==1) {
qvalue1 <- q1(x,n,0.25,i,f)
qvalue3 <- q1(x,n,0.75,i,f)
}
if (def==2) {
qvalue1 <- q2(x,n,0.25,i,f)
qvalue3 <- q2(x,n,0.75,i,f)
}
if (def==3) {
qvalue1 <- q3(x,n,0.25,i,f)
qvalue3 <- q3(x,n,0.75,i,f)
}
if (def==4) {
qvalue1 <- q4(x,n,0.25,i,f)
qvalue3 <- q4(x,n,0.75,i,f)
}
if (def==5) {
qvalue1 <- q5(x,n,0.25,i,f)
qvalue3 <- q5(x,n,0.75,i,f)
}
if (def==6) {
qvalue1 <- q6(x,n,0.25,i,f)
qvalue3 <- q6(x,n,0.75,i,f)
}
if (def==7) {
qvalue1 <- q7(x,n,0.25,i,f)
qvalue3 <- q7(x,n,0.75,i,f)
}
if (def==8) {
qvalue1 <- q8(x,n,0.25,i,f)
qvalue3 <- q8(x,n,0.75,i,f)
}
midm <- 0
myn <- 0
roundno4 <- round(n/4)
round3no4 <- round(3*n/4)
for (i in 1:n) {
if ((x[i]>=qvalue1) & (x[i]<=qvalue3)){
midm = midm + x[i]
myn = myn + 1
}
}
midm = midm / myn
return(midm)
}
(arm <- mean(x))
sqrtn <- sqrt(length(x))
(armse <- sd(x) / sqrtn)
(armose <- arm / armse)
(geo <- geomean(x))
(har <- harmean(x))
(qua <- quamean(x))
(win <- winmean(x))
(tri <- trimean(x))
(midr <- midrange(x))
midm <- array(NA,dim=8)
for (j in 1:8) midm[j] <- midmean(x,j)
midm
bitmap(file='test1.png')
lb <- win[,1] - 2*win[,2]
ub <- win[,1] + 2*win[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(win[,1],type='b',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(win[,1],type='l',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
bitmap(file='test2.png')
lb <- tri[,1] - 2*tri[,2]
ub <- tri[,1] + 2*tri[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(tri[,1],type='b',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(tri[,1],type='l',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Central Tendency - Ungrouped Data',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Measure',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.element(a,'S.E.',header=TRUE)
a<-table.element(a,'Value/S.E.',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('arithmetic_mean.htm', 'Arithmetic Mean', 'click to view the definition of the Arithmetic Mean'),header=TRUE)
a<-table.element(a,arm)
a<-table.element(a,hyperlink('arithmetic_mean_standard_error.htm', armse, 'click to view the definition of the Standard Error of the Arithmetic Mean'))
a<-table.element(a,armose)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('geometric_mean.htm', 'Geometric Mean', 'click to view the definition of the Geometric Mean'),header=TRUE)
a<-table.element(a,geo)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('harmonic_mean.htm', 'Harmonic Mean', 'click to view the definition of the Harmonic Mean'),header=TRUE)
a<-table.element(a,har)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('quadratic_mean.htm', 'Quadratic Mean', 'click to view the definition of the Quadratic Mean'),header=TRUE)
a<-table.element(a,qua)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
for (j in 1:length(win[,1])) {
a<-table.row.start(a)
mylabel <- paste('Winsorized Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(win[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('winsorized_mean.htm', mylabel, 'click to view the definition of the Winsorized Mean'),header=TRUE)
a<-table.element(a,win[j,1])
a<-table.element(a,win[j,2])
a<-table.element(a,win[j,1]/win[j,2])
a<-table.row.end(a)
}
for (j in 1:length(tri[,1])) {
a<-table.row.start(a)
mylabel <- paste('Trimmed Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(tri[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('arithmetic_mean.htm', mylabel, 'click to view the definition of the Trimmed Mean'),header=TRUE)
a<-table.element(a,tri[j,1])
a<-table.element(a,tri[j,2])
a<-table.element(a,tri[j,1]/tri[j,2])
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,hyperlink('median_1.htm', 'Median', 'click to view the definition of the Median'),header=TRUE)
a<-table.element(a,median(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('midrange.htm', 'Midrange', 'click to view the definition of the Midrange'),header=TRUE)
a<-table.element(a,midr)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_1.htm','Weighted Average at Xnp',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[1])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_2.htm','Weighted Average at X(n+1)p',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[2])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_3.htm','Empirical Distribution Function',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[3])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_4.htm','Empirical Distribution Function - Averaging',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[4])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_5.htm','Empirical Distribution Function - Interpolation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[5])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_6.htm','Closest Observation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[6])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_7.htm','True Basic - Statistics Graphics Toolkit',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[7])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_8.htm','MS Excel (old versions)',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[8])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')