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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationThu, 11 Dec 2008 06:54:33 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/11/t12290037290b8v8ox1eiyc5ch.htm/, Retrieved Sat, 25 May 2024 15:54:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32238, Retrieved Sat, 25 May 2024 15:54:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [Central Tendency ...] [2008-12-11 13:54:33] [d96f761aa3e94002e7c05c3c847d2c79] [Current]
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Dataseries X:
492865
480961
461935
456608
441977
439148
488180
520564
501492
485025
464196
460170
467037
460070
447988
442867
436087
431328
484015
509673
512927
502831
470984
471067
476049
474605
470439
461251
454724
455626
516847
525192
522975
518585
509239
512238
519164
517009
509933
509127
500857
506971
569323
579714
577992
565464
547344
554788
562325
560854
555332
543599
536662
542722
593530
610763
612613
611324
594167
595454
590865
589379
584428
573100
567456
569028
620735
628884
628232
612117
595404
597141
593408
590072
579799
574205
572775
572942
619567
625809
619916
587625
565742
557274




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32238&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32238&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32238&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean533579.756250.4389270286485.3667648351306
Geometric Mean530503.63994689
Harmonic Mean527402.894465590
Quadratic Mean536609.720851985
Winsorized Mean ( 1 / 28 )533628.6428571436238.0967236791685.5435025288313
Winsorized Mean ( 2 / 28 )533643.8333333336214.1298101526585.8758747622983
Winsorized Mean ( 3 / 28 )533563.6547619056164.1986714564986.5584779466288
Winsorized Mean ( 4 / 28 )533567.0357142866150.0189842573686.7585997832032
Winsorized Mean ( 5 / 28 )533851.0833333336093.5401464039987.6093486720322
Winsorized Mean ( 6 / 28 )533835.5119047625932.1562381981389.9901301431184
Winsorized Mean ( 7 / 28 )533869.3452380955913.5248606024690.2793778368771
Winsorized Mean ( 8 / 28 )533887.3452380955886.6691180708990.6943017400398
Winsorized Mean ( 9 / 28 )534198.1666666675819.3388880808291.7970540881907
Winsorized Mean ( 10 / 28 )532588.4047619055575.5279514330795.522506460579
Winsorized Mean ( 11 / 28 )532509.0476190485522.8718164509396.4188678130945
Winsorized Mean ( 12 / 28 )532599.6190476195506.7420953114996.7177343389807
Winsorized Mean ( 13 / 28 )532758.0952380955426.8543635618398.1707006576877
Winsorized Mean ( 14 / 28 )533125.4285714295341.0465038463799.8166610583707
Winsorized Mean ( 15 / 28 )533711.1428571435248.65962375121101.685226537075
Winsorized Mean ( 16 / 28 )533330.5714285715167.89730315335103.200690753499
Winsorized Mean ( 17 / 28 )533186.8809523815143.99963365471103.652200413079
Winsorized Mean ( 18 / 28 )533796.5238095245015.11926400637106.437453569767
Winsorized Mean ( 19 / 28 )533726.4047619054916.11688321618108.566662966063
Winsorized Mean ( 20 / 28 )534134.7380952384653.03131166098114.792852727348
Winsorized Mean ( 21 / 28 )533740.9880952384400.08444549742121.302441965952
Winsorized Mean ( 22 / 28 )533983.254361.37752681469122.434539710666
Winsorized Mean ( 23 / 28 )534375.6190476194186.13071744144127.653830020442
Winsorized Mean ( 24 / 28 )534632.1904761913875.64389384943137.946675473627
Winsorized Mean ( 25 / 28 )536681.8928571433534.95747531301151.821315137496
Winsorized Mean ( 26 / 28 )536829.5357142863504.94972724139153.163262668764
Winsorized Mean ( 27 / 28 )537206.253446.27648690224155.880194767216
Winsorized Mean ( 28 / 28 )537435.5833333333140.63469596821171.123239523293
Trimmed Mean ( 1 / 28 )533664.4756097566169.8714145901186.4952346247899
Trimmed Mean ( 2 / 28 )533702.16089.7636811260687.6392135961034
Trimmed Mean ( 3 / 28 )533733.4743589746010.236099516988.804077830133
Trimmed Mean ( 4 / 28 )533796.0394736845937.7701514147489.89840055471
Trimmed Mean ( 5 / 28 )533861.0270270275856.4921962606891.157131118162
Trimmed Mean ( 6 / 28 )533863.3472222225776.226346534692.4242429562181
Trimmed Mean ( 7 / 28 )533868.9142857145721.2014320765393.3141265211395
Trimmed Mean ( 8 / 28 )533868.8382352945658.0093840808594.3563013057855
Trimmed Mean ( 9 / 28 )533865.8939393945586.4264404374895.5648301524196
Trimmed Mean ( 10 / 28 )533817.43755512.5186455824796.8373028411944
Trimmed Mean ( 11 / 28 )533983.9516129035468.2469094327897.651763070862
Trimmed Mean ( 12 / 28 )534171.6666666675420.6541041428698.543765457828
Trimmed Mean ( 13 / 28 )534361.3965517245361.9149266982299.6586860957108
Trimmed Mean ( 14 / 28 )534546.3928571435300.88591399286100.840954046208
Trimmed Mean ( 15 / 28 )534704.2777777785237.48368617742102.09182688033
Trimmed Mean ( 16 / 28 )534811.2307692315171.69199921094103.411268662331
Trimmed Mean ( 17 / 28 )534966.75099.59177583893104.903828289666
Trimmed Mean ( 18 / 28 )535149.9166666675008.54420044697106.847398215815
Trimmed Mean ( 19 / 28 )535287.2173913044914.02283502065108.930551477394
Trimmed Mean ( 20 / 28 )535444.0454545454807.94368924798111.366538391862
Trimmed Mean ( 21 / 28 )535574.9761904764720.25389586721113.463171262757
Trimmed Mean ( 22 / 28 )535758.3754651.43976396604115.181191671111
Trimmed Mean ( 23 / 28 )535936.7368421054560.70249022968117.511882871166
Trimmed Mean ( 24 / 28 )536095.1111111114471.65287518555119.887461320187
Trimmed Mean ( 25 / 28 )536245.7058823534415.23239144469121.453563106084
Trimmed Mean ( 26 / 28 )536199.906254406.5009080608121.683829740993
Trimmed Mean ( 27 / 28 )536132.14382.19413246352122.343301961067
Trimmed Mean ( 28 / 28 )536012.754342.34257073914123.438614358047
Median530927
Midrange530106
Midmean - Weighted Average at Xnp534304.88372093
Midmean - Weighted Average at X(n+1)p535574.976190476
Midmean - Empirical Distribution Function534304.88372093
Midmean - Empirical Distribution Function - Averaging535574.976190476
Midmean - Empirical Distribution Function - Interpolation535574.976190476
Midmean - Closest Observation534304.88372093
Midmean - True Basic - Statistics Graphics Toolkit535574.976190476
Midmean - MS Excel (old versions)535444.045454545
Number of observations84

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 533579.75 & 6250.43892702864 & 85.3667648351306 \tabularnewline
Geometric Mean & 530503.63994689 &  &  \tabularnewline
Harmonic Mean & 527402.894465590 &  &  \tabularnewline
Quadratic Mean & 536609.720851985 &  &  \tabularnewline
Winsorized Mean ( 1 / 28 ) & 533628.642857143 & 6238.09672367916 & 85.5435025288313 \tabularnewline
Winsorized Mean ( 2 / 28 ) & 533643.833333333 & 6214.12981015265 & 85.8758747622983 \tabularnewline
Winsorized Mean ( 3 / 28 ) & 533563.654761905 & 6164.19867145649 & 86.5584779466288 \tabularnewline
Winsorized Mean ( 4 / 28 ) & 533567.035714286 & 6150.01898425736 & 86.7585997832032 \tabularnewline
Winsorized Mean ( 5 / 28 ) & 533851.083333333 & 6093.54014640399 & 87.6093486720322 \tabularnewline
Winsorized Mean ( 6 / 28 ) & 533835.511904762 & 5932.15623819813 & 89.9901301431184 \tabularnewline
Winsorized Mean ( 7 / 28 ) & 533869.345238095 & 5913.52486060246 & 90.2793778368771 \tabularnewline
Winsorized Mean ( 8 / 28 ) & 533887.345238095 & 5886.66911807089 & 90.6943017400398 \tabularnewline
Winsorized Mean ( 9 / 28 ) & 534198.166666667 & 5819.33888808082 & 91.7970540881907 \tabularnewline
Winsorized Mean ( 10 / 28 ) & 532588.404761905 & 5575.52795143307 & 95.522506460579 \tabularnewline
Winsorized Mean ( 11 / 28 ) & 532509.047619048 & 5522.87181645093 & 96.4188678130945 \tabularnewline
Winsorized Mean ( 12 / 28 ) & 532599.619047619 & 5506.74209531149 & 96.7177343389807 \tabularnewline
Winsorized Mean ( 13 / 28 ) & 532758.095238095 & 5426.85436356183 & 98.1707006576877 \tabularnewline
Winsorized Mean ( 14 / 28 ) & 533125.428571429 & 5341.04650384637 & 99.8166610583707 \tabularnewline
Winsorized Mean ( 15 / 28 ) & 533711.142857143 & 5248.65962375121 & 101.685226537075 \tabularnewline
Winsorized Mean ( 16 / 28 ) & 533330.571428571 & 5167.89730315335 & 103.200690753499 \tabularnewline
Winsorized Mean ( 17 / 28 ) & 533186.880952381 & 5143.99963365471 & 103.652200413079 \tabularnewline
Winsorized Mean ( 18 / 28 ) & 533796.523809524 & 5015.11926400637 & 106.437453569767 \tabularnewline
Winsorized Mean ( 19 / 28 ) & 533726.404761905 & 4916.11688321618 & 108.566662966063 \tabularnewline
Winsorized Mean ( 20 / 28 ) & 534134.738095238 & 4653.03131166098 & 114.792852727348 \tabularnewline
Winsorized Mean ( 21 / 28 ) & 533740.988095238 & 4400.08444549742 & 121.302441965952 \tabularnewline
Winsorized Mean ( 22 / 28 ) & 533983.25 & 4361.37752681469 & 122.434539710666 \tabularnewline
Winsorized Mean ( 23 / 28 ) & 534375.619047619 & 4186.13071744144 & 127.653830020442 \tabularnewline
Winsorized Mean ( 24 / 28 ) & 534632.190476191 & 3875.64389384943 & 137.946675473627 \tabularnewline
Winsorized Mean ( 25 / 28 ) & 536681.892857143 & 3534.95747531301 & 151.821315137496 \tabularnewline
Winsorized Mean ( 26 / 28 ) & 536829.535714286 & 3504.94972724139 & 153.163262668764 \tabularnewline
Winsorized Mean ( 27 / 28 ) & 537206.25 & 3446.27648690224 & 155.880194767216 \tabularnewline
Winsorized Mean ( 28 / 28 ) & 537435.583333333 & 3140.63469596821 & 171.123239523293 \tabularnewline
Trimmed Mean ( 1 / 28 ) & 533664.475609756 & 6169.87141459011 & 86.4952346247899 \tabularnewline
Trimmed Mean ( 2 / 28 ) & 533702.1 & 6089.76368112606 & 87.6392135961034 \tabularnewline
Trimmed Mean ( 3 / 28 ) & 533733.474358974 & 6010.2360995169 & 88.804077830133 \tabularnewline
Trimmed Mean ( 4 / 28 ) & 533796.039473684 & 5937.77015141474 & 89.89840055471 \tabularnewline
Trimmed Mean ( 5 / 28 ) & 533861.027027027 & 5856.49219626068 & 91.157131118162 \tabularnewline
Trimmed Mean ( 6 / 28 ) & 533863.347222222 & 5776.2263465346 & 92.4242429562181 \tabularnewline
Trimmed Mean ( 7 / 28 ) & 533868.914285714 & 5721.20143207653 & 93.3141265211395 \tabularnewline
Trimmed Mean ( 8 / 28 ) & 533868.838235294 & 5658.00938408085 & 94.3563013057855 \tabularnewline
Trimmed Mean ( 9 / 28 ) & 533865.893939394 & 5586.42644043748 & 95.5648301524196 \tabularnewline
Trimmed Mean ( 10 / 28 ) & 533817.4375 & 5512.51864558247 & 96.8373028411944 \tabularnewline
Trimmed Mean ( 11 / 28 ) & 533983.951612903 & 5468.24690943278 & 97.651763070862 \tabularnewline
Trimmed Mean ( 12 / 28 ) & 534171.666666667 & 5420.65410414286 & 98.543765457828 \tabularnewline
Trimmed Mean ( 13 / 28 ) & 534361.396551724 & 5361.91492669822 & 99.6586860957108 \tabularnewline
Trimmed Mean ( 14 / 28 ) & 534546.392857143 & 5300.88591399286 & 100.840954046208 \tabularnewline
Trimmed Mean ( 15 / 28 ) & 534704.277777778 & 5237.48368617742 & 102.09182688033 \tabularnewline
Trimmed Mean ( 16 / 28 ) & 534811.230769231 & 5171.69199921094 & 103.411268662331 \tabularnewline
Trimmed Mean ( 17 / 28 ) & 534966.7 & 5099.59177583893 & 104.903828289666 \tabularnewline
Trimmed Mean ( 18 / 28 ) & 535149.916666667 & 5008.54420044697 & 106.847398215815 \tabularnewline
Trimmed Mean ( 19 / 28 ) & 535287.217391304 & 4914.02283502065 & 108.930551477394 \tabularnewline
Trimmed Mean ( 20 / 28 ) & 535444.045454545 & 4807.94368924798 & 111.366538391862 \tabularnewline
Trimmed Mean ( 21 / 28 ) & 535574.976190476 & 4720.25389586721 & 113.463171262757 \tabularnewline
Trimmed Mean ( 22 / 28 ) & 535758.375 & 4651.43976396604 & 115.181191671111 \tabularnewline
Trimmed Mean ( 23 / 28 ) & 535936.736842105 & 4560.70249022968 & 117.511882871166 \tabularnewline
Trimmed Mean ( 24 / 28 ) & 536095.111111111 & 4471.65287518555 & 119.887461320187 \tabularnewline
Trimmed Mean ( 25 / 28 ) & 536245.705882353 & 4415.23239144469 & 121.453563106084 \tabularnewline
Trimmed Mean ( 26 / 28 ) & 536199.90625 & 4406.5009080608 & 121.683829740993 \tabularnewline
Trimmed Mean ( 27 / 28 ) & 536132.1 & 4382.19413246352 & 122.343301961067 \tabularnewline
Trimmed Mean ( 28 / 28 ) & 536012.75 & 4342.34257073914 & 123.438614358047 \tabularnewline
Median & 530927 &  &  \tabularnewline
Midrange & 530106 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 534304.88372093 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 535574.976190476 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 534304.88372093 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 535574.976190476 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 535574.976190476 &  &  \tabularnewline
Midmean - Closest Observation & 534304.88372093 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 535574.976190476 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 535444.045454545 &  &  \tabularnewline
Number of observations & 84 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32238&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]533579.75[/C][C]6250.43892702864[/C][C]85.3667648351306[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]530503.63994689[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]527402.894465590[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]536609.720851985[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 28 )[/C][C]533628.642857143[/C][C]6238.09672367916[/C][C]85.5435025288313[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 28 )[/C][C]533643.833333333[/C][C]6214.12981015265[/C][C]85.8758747622983[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 28 )[/C][C]533563.654761905[/C][C]6164.19867145649[/C][C]86.5584779466288[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 28 )[/C][C]533567.035714286[/C][C]6150.01898425736[/C][C]86.7585997832032[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 28 )[/C][C]533851.083333333[/C][C]6093.54014640399[/C][C]87.6093486720322[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 28 )[/C][C]533835.511904762[/C][C]5932.15623819813[/C][C]89.9901301431184[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 28 )[/C][C]533869.345238095[/C][C]5913.52486060246[/C][C]90.2793778368771[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 28 )[/C][C]533887.345238095[/C][C]5886.66911807089[/C][C]90.6943017400398[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 28 )[/C][C]534198.166666667[/C][C]5819.33888808082[/C][C]91.7970540881907[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 28 )[/C][C]532588.404761905[/C][C]5575.52795143307[/C][C]95.522506460579[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 28 )[/C][C]532509.047619048[/C][C]5522.87181645093[/C][C]96.4188678130945[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 28 )[/C][C]532599.619047619[/C][C]5506.74209531149[/C][C]96.7177343389807[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 28 )[/C][C]532758.095238095[/C][C]5426.85436356183[/C][C]98.1707006576877[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 28 )[/C][C]533125.428571429[/C][C]5341.04650384637[/C][C]99.8166610583707[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 28 )[/C][C]533711.142857143[/C][C]5248.65962375121[/C][C]101.685226537075[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 28 )[/C][C]533330.571428571[/C][C]5167.89730315335[/C][C]103.200690753499[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 28 )[/C][C]533186.880952381[/C][C]5143.99963365471[/C][C]103.652200413079[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 28 )[/C][C]533796.523809524[/C][C]5015.11926400637[/C][C]106.437453569767[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 28 )[/C][C]533726.404761905[/C][C]4916.11688321618[/C][C]108.566662966063[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 28 )[/C][C]534134.738095238[/C][C]4653.03131166098[/C][C]114.792852727348[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 28 )[/C][C]533740.988095238[/C][C]4400.08444549742[/C][C]121.302441965952[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 28 )[/C][C]533983.25[/C][C]4361.37752681469[/C][C]122.434539710666[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 28 )[/C][C]534375.619047619[/C][C]4186.13071744144[/C][C]127.653830020442[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 28 )[/C][C]534632.190476191[/C][C]3875.64389384943[/C][C]137.946675473627[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 28 )[/C][C]536681.892857143[/C][C]3534.95747531301[/C][C]151.821315137496[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 28 )[/C][C]536829.535714286[/C][C]3504.94972724139[/C][C]153.163262668764[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 28 )[/C][C]537206.25[/C][C]3446.27648690224[/C][C]155.880194767216[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 28 )[/C][C]537435.583333333[/C][C]3140.63469596821[/C][C]171.123239523293[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 28 )[/C][C]533664.475609756[/C][C]6169.87141459011[/C][C]86.4952346247899[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 28 )[/C][C]533702.1[/C][C]6089.76368112606[/C][C]87.6392135961034[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 28 )[/C][C]533733.474358974[/C][C]6010.2360995169[/C][C]88.804077830133[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 28 )[/C][C]533796.039473684[/C][C]5937.77015141474[/C][C]89.89840055471[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 28 )[/C][C]533861.027027027[/C][C]5856.49219626068[/C][C]91.157131118162[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 28 )[/C][C]533863.347222222[/C][C]5776.2263465346[/C][C]92.4242429562181[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 28 )[/C][C]533868.914285714[/C][C]5721.20143207653[/C][C]93.3141265211395[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 28 )[/C][C]533868.838235294[/C][C]5658.00938408085[/C][C]94.3563013057855[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 28 )[/C][C]533865.893939394[/C][C]5586.42644043748[/C][C]95.5648301524196[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 28 )[/C][C]533817.4375[/C][C]5512.51864558247[/C][C]96.8373028411944[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 28 )[/C][C]533983.951612903[/C][C]5468.24690943278[/C][C]97.651763070862[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 28 )[/C][C]534171.666666667[/C][C]5420.65410414286[/C][C]98.543765457828[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 28 )[/C][C]534361.396551724[/C][C]5361.91492669822[/C][C]99.6586860957108[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 28 )[/C][C]534546.392857143[/C][C]5300.88591399286[/C][C]100.840954046208[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 28 )[/C][C]534704.277777778[/C][C]5237.48368617742[/C][C]102.09182688033[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 28 )[/C][C]534811.230769231[/C][C]5171.69199921094[/C][C]103.411268662331[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 28 )[/C][C]534966.7[/C][C]5099.59177583893[/C][C]104.903828289666[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 28 )[/C][C]535149.916666667[/C][C]5008.54420044697[/C][C]106.847398215815[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 28 )[/C][C]535287.217391304[/C][C]4914.02283502065[/C][C]108.930551477394[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 28 )[/C][C]535444.045454545[/C][C]4807.94368924798[/C][C]111.366538391862[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 28 )[/C][C]535574.976190476[/C][C]4720.25389586721[/C][C]113.463171262757[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 28 )[/C][C]535758.375[/C][C]4651.43976396604[/C][C]115.181191671111[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 28 )[/C][C]535936.736842105[/C][C]4560.70249022968[/C][C]117.511882871166[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 28 )[/C][C]536095.111111111[/C][C]4471.65287518555[/C][C]119.887461320187[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 28 )[/C][C]536245.705882353[/C][C]4415.23239144469[/C][C]121.453563106084[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 28 )[/C][C]536199.90625[/C][C]4406.5009080608[/C][C]121.683829740993[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 28 )[/C][C]536132.1[/C][C]4382.19413246352[/C][C]122.343301961067[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 28 )[/C][C]536012.75[/C][C]4342.34257073914[/C][C]123.438614358047[/C][/ROW]
[ROW][C]Median[/C][C]530927[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]530106[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]534304.88372093[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]535574.976190476[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]534304.88372093[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]535574.976190476[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]535574.976190476[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]534304.88372093[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]535574.976190476[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]535444.045454545[/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=32238&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32238&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 Mean533579.756250.4389270286485.3667648351306
Geometric Mean530503.63994689
Harmonic Mean527402.894465590
Quadratic Mean536609.720851985
Winsorized Mean ( 1 / 28 )533628.6428571436238.0967236791685.5435025288313
Winsorized Mean ( 2 / 28 )533643.8333333336214.1298101526585.8758747622983
Winsorized Mean ( 3 / 28 )533563.6547619056164.1986714564986.5584779466288
Winsorized Mean ( 4 / 28 )533567.0357142866150.0189842573686.7585997832032
Winsorized Mean ( 5 / 28 )533851.0833333336093.5401464039987.6093486720322
Winsorized Mean ( 6 / 28 )533835.5119047625932.1562381981389.9901301431184
Winsorized Mean ( 7 / 28 )533869.3452380955913.5248606024690.2793778368771
Winsorized Mean ( 8 / 28 )533887.3452380955886.6691180708990.6943017400398
Winsorized Mean ( 9 / 28 )534198.1666666675819.3388880808291.7970540881907
Winsorized Mean ( 10 / 28 )532588.4047619055575.5279514330795.522506460579
Winsorized Mean ( 11 / 28 )532509.0476190485522.8718164509396.4188678130945
Winsorized Mean ( 12 / 28 )532599.6190476195506.7420953114996.7177343389807
Winsorized Mean ( 13 / 28 )532758.0952380955426.8543635618398.1707006576877
Winsorized Mean ( 14 / 28 )533125.4285714295341.0465038463799.8166610583707
Winsorized Mean ( 15 / 28 )533711.1428571435248.65962375121101.685226537075
Winsorized Mean ( 16 / 28 )533330.5714285715167.89730315335103.200690753499
Winsorized Mean ( 17 / 28 )533186.8809523815143.99963365471103.652200413079
Winsorized Mean ( 18 / 28 )533796.5238095245015.11926400637106.437453569767
Winsorized Mean ( 19 / 28 )533726.4047619054916.11688321618108.566662966063
Winsorized Mean ( 20 / 28 )534134.7380952384653.03131166098114.792852727348
Winsorized Mean ( 21 / 28 )533740.9880952384400.08444549742121.302441965952
Winsorized Mean ( 22 / 28 )533983.254361.37752681469122.434539710666
Winsorized Mean ( 23 / 28 )534375.6190476194186.13071744144127.653830020442
Winsorized Mean ( 24 / 28 )534632.1904761913875.64389384943137.946675473627
Winsorized Mean ( 25 / 28 )536681.8928571433534.95747531301151.821315137496
Winsorized Mean ( 26 / 28 )536829.5357142863504.94972724139153.163262668764
Winsorized Mean ( 27 / 28 )537206.253446.27648690224155.880194767216
Winsorized Mean ( 28 / 28 )537435.5833333333140.63469596821171.123239523293
Trimmed Mean ( 1 / 28 )533664.4756097566169.8714145901186.4952346247899
Trimmed Mean ( 2 / 28 )533702.16089.7636811260687.6392135961034
Trimmed Mean ( 3 / 28 )533733.4743589746010.236099516988.804077830133
Trimmed Mean ( 4 / 28 )533796.0394736845937.7701514147489.89840055471
Trimmed Mean ( 5 / 28 )533861.0270270275856.4921962606891.157131118162
Trimmed Mean ( 6 / 28 )533863.3472222225776.226346534692.4242429562181
Trimmed Mean ( 7 / 28 )533868.9142857145721.2014320765393.3141265211395
Trimmed Mean ( 8 / 28 )533868.8382352945658.0093840808594.3563013057855
Trimmed Mean ( 9 / 28 )533865.8939393945586.4264404374895.5648301524196
Trimmed Mean ( 10 / 28 )533817.43755512.5186455824796.8373028411944
Trimmed Mean ( 11 / 28 )533983.9516129035468.2469094327897.651763070862
Trimmed Mean ( 12 / 28 )534171.6666666675420.6541041428698.543765457828
Trimmed Mean ( 13 / 28 )534361.3965517245361.9149266982299.6586860957108
Trimmed Mean ( 14 / 28 )534546.3928571435300.88591399286100.840954046208
Trimmed Mean ( 15 / 28 )534704.2777777785237.48368617742102.09182688033
Trimmed Mean ( 16 / 28 )534811.2307692315171.69199921094103.411268662331
Trimmed Mean ( 17 / 28 )534966.75099.59177583893104.903828289666
Trimmed Mean ( 18 / 28 )535149.9166666675008.54420044697106.847398215815
Trimmed Mean ( 19 / 28 )535287.2173913044914.02283502065108.930551477394
Trimmed Mean ( 20 / 28 )535444.0454545454807.94368924798111.366538391862
Trimmed Mean ( 21 / 28 )535574.9761904764720.25389586721113.463171262757
Trimmed Mean ( 22 / 28 )535758.3754651.43976396604115.181191671111
Trimmed Mean ( 23 / 28 )535936.7368421054560.70249022968117.511882871166
Trimmed Mean ( 24 / 28 )536095.1111111114471.65287518555119.887461320187
Trimmed Mean ( 25 / 28 )536245.7058823534415.23239144469121.453563106084
Trimmed Mean ( 26 / 28 )536199.906254406.5009080608121.683829740993
Trimmed Mean ( 27 / 28 )536132.14382.19413246352122.343301961067
Trimmed Mean ( 28 / 28 )536012.754342.34257073914123.438614358047
Median530927
Midrange530106
Midmean - Weighted Average at Xnp534304.88372093
Midmean - Weighted Average at X(n+1)p535574.976190476
Midmean - Empirical Distribution Function534304.88372093
Midmean - Empirical Distribution Function - Averaging535574.976190476
Midmean - Empirical Distribution Function - Interpolation535574.976190476
Midmean - Closest Observation534304.88372093
Midmean - True Basic - Statistics Graphics Toolkit535574.976190476
Midmean - MS Excel (old versions)535444.045454545
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')