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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationMon, 21 Apr 2008 12:31:58 -0600
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/Apr/21/t1208802783ypb9pvwblvp92ub.htm/, Retrieved Thu, 16 May 2024 21:38:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=10571, Retrieved Thu, 16 May 2024 21:38:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact180
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [Glenn Van Passen ...] [2008-04-21 18:31:58] [7568f24034461b5d7b2d183bbb217711] [Current]
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Dataseries X:
11835.70
11542.20
13093.70
11180.20
12035.70
12112.00
10875.20
9897.30
11672.10
12385.70
11405.60
9830.90
11025.10
10853.80
12252.60
11839.40
11669.10
11601.40
11178.40
9516.40
12102.80
12989.00
11610.20
10205.50
11356.20
11307.10
12648.60
11947.20
11714.10
12192.50
11268.80
9097.40
12639.80
13040.10
11687.30
11191.70
11391.90
11793.10
13933.20
12778.10
11810.30
13698.40
11956.60
10723.80
13938.90
13979.80
13807.40
12973.90
12509.80
12934.10
14908.30
13772.10
13012.60
14049.90
11816.50
11593.20
14466.20
13615.90
14733.90
13880.70
13527.50
13584.00
16170.20
13260.60
14741.90
15486.50
13154.50
12621.20
15031.60
15452.40
15428.00
13105.90
14716.80
14180.00
16202.20
14392.40
15140.60
15960.10
14729.90
13705.20
15728.50
17315.60
16152.80




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10571&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10571&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10571&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean12875.5156626506189.78794767378567.8415875215721
Geometric Mean12761.6357868947
Harmonic Mean12648.4879439586
Quadratic Mean12989.7074530531
Winsorized Mean ( 1 / 27 )12867.1493975904185.22593428149869.4673208020396
Winsorized Mean ( 2 / 27 )12873.9566265060183.45403757618870.1753790573265
Winsorized Mean ( 3 / 27 )12875.7277108434182.83525359416370.4225659862265
Winsorized Mean ( 4 / 27 )12881.2939759036178.00206219150872.3659817044418
Winsorized Mean ( 5 / 27 )12898.5650602410169.80125061048775.962721204153
Winsorized Mean ( 6 / 27 )12890.4686746988164.90067424164078.1711095723572
Winsorized Mean ( 7 / 27 )12889.3975903614164.07966122487478.5557301504682
Winsorized Mean ( 8 / 27 )12901.4939759036161.52601274309179.8725465750436
Winsorized Mean ( 9 / 27 )12886.9530120482153.45108645425683.9808522039353
Winsorized Mean ( 10 / 27 )12874.0373493976151.10185287850485.2010554744762
Winsorized Mean ( 11 / 27 )12859.2204819277148.09116812979186.8331355902168
Winsorized Mean ( 12 / 27 )12846.3096385542142.59224657145190.0912212791116
Winsorized Mean ( 13 / 27 )12851.0554216867141.58551436883090.7653263751953
Winsorized Mean ( 14 / 27 )12858.6626506024140.38476991954191.5958522991641
Winsorized Mean ( 15 / 27 )12862.7469879518139.16316638132792.4292492217806
Winsorized Mean ( 16 / 27 )12817.0795180723131.18590324416997.7016523964211
Winsorized Mean ( 17 / 27 )12829.9421686747125.286694394506102.404666598318
Winsorized Mean ( 18 / 27 )12794.9397590361117.069356650860109.293671077350
Winsorized Mean ( 19 / 27 )12767.0349397590112.614680431564113.369188553686
Winsorized Mean ( 20 / 27 )12752.2638554217110.023910400266115.904477572457
Winsorized Mean ( 21 / 27 )12756.8180722892106.751767820666119.499829677008
Winsorized Mean ( 22 / 27 )12756.1024096386106.449106899080119.832873954800
Winsorized Mean ( 23 / 27 )12745.7662650602103.976765390368122.58283105084
Winsorized Mean ( 24 / 27 )12732.3204819277100.218119022591127.046093122718
Winsorized Mean ( 25 / 27 )12745.483132530195.9130598404386132.885794215444
Winsorized Mean ( 26 / 27 )12729.914457831392.5456037901167137.552881352434
Winsorized Mean ( 27 / 27 )12729.719277108492.0172140729195138.340629037309
Trimmed Mean ( 1 / 27 )12867.3432098765180.51476571678271.2813888591512
Trimmed Mean ( 2 / 27 )12867.5468354430175.04321767864173.5106849958985
Trimmed Mean ( 3 / 27 )12864.0922077922169.77469298016175.7715533568683
Trimmed Mean ( 4 / 27 )12859.8163.88084636529578.47042705244
Trimmed Mean ( 5 / 27 )12853.6904109589158.71204292402880.9874926574516
Trimmed Mean ( 6 / 27 )12843.1985915493155.11876359385182.795906143094
Trimmed Mean ( 7 / 27 )12843.1985915493152.16283366560284.4043074261744
Trimmed Mean ( 8 / 27 )12823.8686567164148.82060488640786.1699807395941
Trimmed Mean ( 9 / 27 )12811.4784615385145.36882633713588.130851602437
Trimmed Mean ( 10 / 27 )12800.4301587302142.94295022175889.5492232311696
Trimmed Mean ( 11 / 27 )12790.4147540984140.45271461534791.0656286646154
Trimmed Mean ( 12 / 27 )12781.6152542373137.98541842286292.6301880323869
Trimmed Mean ( 13 / 27 )12773.7649122807135.97779858248493.9400773173436
Trimmed Mean ( 14 / 27 )12773.7649122807133.61371370710095.6021994889128
Trimmed Mean ( 15 / 27 )12754.2924528302130.82671029505497.4899729884318
Trimmed Mean ( 16 / 27 )12742.5254901961127.50403379526499.9382145874462
Trimmed Mean ( 17 / 27 )12734.6326530612124.905720206771101.953958809734
Trimmed Mean ( 18 / 27 )12724.7319148936122.644106222001103.753309530099
Trimmed Mean ( 19 / 27 )12717.5377777778121.271442643756104.868363899459
Trimmed Mean ( 20 / 27 )12712.5093023256120.209650831281105.752817801360
Trimmed Mean ( 21 / 27 )12708.4853658537119.131959657009106.675701486339
Trimmed Mean ( 22 / 27 )12703.5871794872118.128676048563107.540248519036
Trimmed Mean ( 23 / 27 )12698.2324324324116.581123210835108.921857009971
Trimmed Mean ( 24 / 27 )12693.3314285714114.797476824337110.571519337440
Trimmed Mean ( 25 / 27 )12689.2454545455112.990405456422112.303742988509
Trimmed Mean ( 26 / 27 )12683.2225806452111.224847992527114.032276146579
Trimmed Mean ( 27 / 27 )12678.0827586207109.284514457543116.009874057190
Median12648.6
Midrange13206.5
Midmean - Weighted Average at Xnp12682.3357142857
Midmean - Weighted Average at X(n+1)p12712.5093023256
Midmean - Empirical Distribution Function12712.5093023256
Midmean - Empirical Distribution Function - Averaging12712.5093023256
Midmean - Empirical Distribution Function - Interpolation12708.4853658537
Midmean - Closest Observation12682.3357142857
Midmean - True Basic - Statistics Graphics Toolkit12712.5093023256
Midmean - MS Excel (old versions)12712.5093023256
Number of observations83

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 12875.5156626506 & 189.787947673785 & 67.8415875215721 \tabularnewline
Geometric Mean & 12761.6357868947 &  &  \tabularnewline
Harmonic Mean & 12648.4879439586 &  &  \tabularnewline
Quadratic Mean & 12989.7074530531 &  &  \tabularnewline
Winsorized Mean ( 1 / 27 ) & 12867.1493975904 & 185.225934281498 & 69.4673208020396 \tabularnewline
Winsorized Mean ( 2 / 27 ) & 12873.9566265060 & 183.454037576188 & 70.1753790573265 \tabularnewline
Winsorized Mean ( 3 / 27 ) & 12875.7277108434 & 182.835253594163 & 70.4225659862265 \tabularnewline
Winsorized Mean ( 4 / 27 ) & 12881.2939759036 & 178.002062191508 & 72.3659817044418 \tabularnewline
Winsorized Mean ( 5 / 27 ) & 12898.5650602410 & 169.801250610487 & 75.962721204153 \tabularnewline
Winsorized Mean ( 6 / 27 ) & 12890.4686746988 & 164.900674241640 & 78.1711095723572 \tabularnewline
Winsorized Mean ( 7 / 27 ) & 12889.3975903614 & 164.079661224874 & 78.5557301504682 \tabularnewline
Winsorized Mean ( 8 / 27 ) & 12901.4939759036 & 161.526012743091 & 79.8725465750436 \tabularnewline
Winsorized Mean ( 9 / 27 ) & 12886.9530120482 & 153.451086454256 & 83.9808522039353 \tabularnewline
Winsorized Mean ( 10 / 27 ) & 12874.0373493976 & 151.101852878504 & 85.2010554744762 \tabularnewline
Winsorized Mean ( 11 / 27 ) & 12859.2204819277 & 148.091168129791 & 86.8331355902168 \tabularnewline
Winsorized Mean ( 12 / 27 ) & 12846.3096385542 & 142.592246571451 & 90.0912212791116 \tabularnewline
Winsorized Mean ( 13 / 27 ) & 12851.0554216867 & 141.585514368830 & 90.7653263751953 \tabularnewline
Winsorized Mean ( 14 / 27 ) & 12858.6626506024 & 140.384769919541 & 91.5958522991641 \tabularnewline
Winsorized Mean ( 15 / 27 ) & 12862.7469879518 & 139.163166381327 & 92.4292492217806 \tabularnewline
Winsorized Mean ( 16 / 27 ) & 12817.0795180723 & 131.185903244169 & 97.7016523964211 \tabularnewline
Winsorized Mean ( 17 / 27 ) & 12829.9421686747 & 125.286694394506 & 102.404666598318 \tabularnewline
Winsorized Mean ( 18 / 27 ) & 12794.9397590361 & 117.069356650860 & 109.293671077350 \tabularnewline
Winsorized Mean ( 19 / 27 ) & 12767.0349397590 & 112.614680431564 & 113.369188553686 \tabularnewline
Winsorized Mean ( 20 / 27 ) & 12752.2638554217 & 110.023910400266 & 115.904477572457 \tabularnewline
Winsorized Mean ( 21 / 27 ) & 12756.8180722892 & 106.751767820666 & 119.499829677008 \tabularnewline
Winsorized Mean ( 22 / 27 ) & 12756.1024096386 & 106.449106899080 & 119.832873954800 \tabularnewline
Winsorized Mean ( 23 / 27 ) & 12745.7662650602 & 103.976765390368 & 122.58283105084 \tabularnewline
Winsorized Mean ( 24 / 27 ) & 12732.3204819277 & 100.218119022591 & 127.046093122718 \tabularnewline
Winsorized Mean ( 25 / 27 ) & 12745.4831325301 & 95.9130598404386 & 132.885794215444 \tabularnewline
Winsorized Mean ( 26 / 27 ) & 12729.9144578313 & 92.5456037901167 & 137.552881352434 \tabularnewline
Winsorized Mean ( 27 / 27 ) & 12729.7192771084 & 92.0172140729195 & 138.340629037309 \tabularnewline
Trimmed Mean ( 1 / 27 ) & 12867.3432098765 & 180.514765716782 & 71.2813888591512 \tabularnewline
Trimmed Mean ( 2 / 27 ) & 12867.5468354430 & 175.043217678641 & 73.5106849958985 \tabularnewline
Trimmed Mean ( 3 / 27 ) & 12864.0922077922 & 169.774692980161 & 75.7715533568683 \tabularnewline
Trimmed Mean ( 4 / 27 ) & 12859.8 & 163.880846365295 & 78.47042705244 \tabularnewline
Trimmed Mean ( 5 / 27 ) & 12853.6904109589 & 158.712042924028 & 80.9874926574516 \tabularnewline
Trimmed Mean ( 6 / 27 ) & 12843.1985915493 & 155.118763593851 & 82.795906143094 \tabularnewline
Trimmed Mean ( 7 / 27 ) & 12843.1985915493 & 152.162833665602 & 84.4043074261744 \tabularnewline
Trimmed Mean ( 8 / 27 ) & 12823.8686567164 & 148.820604886407 & 86.1699807395941 \tabularnewline
Trimmed Mean ( 9 / 27 ) & 12811.4784615385 & 145.368826337135 & 88.130851602437 \tabularnewline
Trimmed Mean ( 10 / 27 ) & 12800.4301587302 & 142.942950221758 & 89.5492232311696 \tabularnewline
Trimmed Mean ( 11 / 27 ) & 12790.4147540984 & 140.452714615347 & 91.0656286646154 \tabularnewline
Trimmed Mean ( 12 / 27 ) & 12781.6152542373 & 137.985418422862 & 92.6301880323869 \tabularnewline
Trimmed Mean ( 13 / 27 ) & 12773.7649122807 & 135.977798582484 & 93.9400773173436 \tabularnewline
Trimmed Mean ( 14 / 27 ) & 12773.7649122807 & 133.613713707100 & 95.6021994889128 \tabularnewline
Trimmed Mean ( 15 / 27 ) & 12754.2924528302 & 130.826710295054 & 97.4899729884318 \tabularnewline
Trimmed Mean ( 16 / 27 ) & 12742.5254901961 & 127.504033795264 & 99.9382145874462 \tabularnewline
Trimmed Mean ( 17 / 27 ) & 12734.6326530612 & 124.905720206771 & 101.953958809734 \tabularnewline
Trimmed Mean ( 18 / 27 ) & 12724.7319148936 & 122.644106222001 & 103.753309530099 \tabularnewline
Trimmed Mean ( 19 / 27 ) & 12717.5377777778 & 121.271442643756 & 104.868363899459 \tabularnewline
Trimmed Mean ( 20 / 27 ) & 12712.5093023256 & 120.209650831281 & 105.752817801360 \tabularnewline
Trimmed Mean ( 21 / 27 ) & 12708.4853658537 & 119.131959657009 & 106.675701486339 \tabularnewline
Trimmed Mean ( 22 / 27 ) & 12703.5871794872 & 118.128676048563 & 107.540248519036 \tabularnewline
Trimmed Mean ( 23 / 27 ) & 12698.2324324324 & 116.581123210835 & 108.921857009971 \tabularnewline
Trimmed Mean ( 24 / 27 ) & 12693.3314285714 & 114.797476824337 & 110.571519337440 \tabularnewline
Trimmed Mean ( 25 / 27 ) & 12689.2454545455 & 112.990405456422 & 112.303742988509 \tabularnewline
Trimmed Mean ( 26 / 27 ) & 12683.2225806452 & 111.224847992527 & 114.032276146579 \tabularnewline
Trimmed Mean ( 27 / 27 ) & 12678.0827586207 & 109.284514457543 & 116.009874057190 \tabularnewline
Median & 12648.6 &  &  \tabularnewline
Midrange & 13206.5 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 12682.3357142857 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 12712.5093023256 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 12712.5093023256 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 12712.5093023256 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 12708.4853658537 &  &  \tabularnewline
Midmean - Closest Observation & 12682.3357142857 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 12712.5093023256 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 12712.5093023256 &  &  \tabularnewline
Number of observations & 83 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10571&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]12875.5156626506[/C][C]189.787947673785[/C][C]67.8415875215721[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]12761.6357868947[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]12648.4879439586[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]12989.7074530531[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 27 )[/C][C]12867.1493975904[/C][C]185.225934281498[/C][C]69.4673208020396[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 27 )[/C][C]12873.9566265060[/C][C]183.454037576188[/C][C]70.1753790573265[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 27 )[/C][C]12875.7277108434[/C][C]182.835253594163[/C][C]70.4225659862265[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 27 )[/C][C]12881.2939759036[/C][C]178.002062191508[/C][C]72.3659817044418[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 27 )[/C][C]12898.5650602410[/C][C]169.801250610487[/C][C]75.962721204153[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 27 )[/C][C]12890.4686746988[/C][C]164.900674241640[/C][C]78.1711095723572[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 27 )[/C][C]12889.3975903614[/C][C]164.079661224874[/C][C]78.5557301504682[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 27 )[/C][C]12901.4939759036[/C][C]161.526012743091[/C][C]79.8725465750436[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 27 )[/C][C]12886.9530120482[/C][C]153.451086454256[/C][C]83.9808522039353[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 27 )[/C][C]12874.0373493976[/C][C]151.101852878504[/C][C]85.2010554744762[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 27 )[/C][C]12859.2204819277[/C][C]148.091168129791[/C][C]86.8331355902168[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 27 )[/C][C]12846.3096385542[/C][C]142.592246571451[/C][C]90.0912212791116[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 27 )[/C][C]12851.0554216867[/C][C]141.585514368830[/C][C]90.7653263751953[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 27 )[/C][C]12858.6626506024[/C][C]140.384769919541[/C][C]91.5958522991641[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 27 )[/C][C]12862.7469879518[/C][C]139.163166381327[/C][C]92.4292492217806[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 27 )[/C][C]12817.0795180723[/C][C]131.185903244169[/C][C]97.7016523964211[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 27 )[/C][C]12829.9421686747[/C][C]125.286694394506[/C][C]102.404666598318[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 27 )[/C][C]12794.9397590361[/C][C]117.069356650860[/C][C]109.293671077350[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 27 )[/C][C]12767.0349397590[/C][C]112.614680431564[/C][C]113.369188553686[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 27 )[/C][C]12752.2638554217[/C][C]110.023910400266[/C][C]115.904477572457[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 27 )[/C][C]12756.8180722892[/C][C]106.751767820666[/C][C]119.499829677008[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 27 )[/C][C]12756.1024096386[/C][C]106.449106899080[/C][C]119.832873954800[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 27 )[/C][C]12745.7662650602[/C][C]103.976765390368[/C][C]122.58283105084[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 27 )[/C][C]12732.3204819277[/C][C]100.218119022591[/C][C]127.046093122718[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 27 )[/C][C]12745.4831325301[/C][C]95.9130598404386[/C][C]132.885794215444[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 27 )[/C][C]12729.9144578313[/C][C]92.5456037901167[/C][C]137.552881352434[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 27 )[/C][C]12729.7192771084[/C][C]92.0172140729195[/C][C]138.340629037309[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 27 )[/C][C]12867.3432098765[/C][C]180.514765716782[/C][C]71.2813888591512[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 27 )[/C][C]12867.5468354430[/C][C]175.043217678641[/C][C]73.5106849958985[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 27 )[/C][C]12864.0922077922[/C][C]169.774692980161[/C][C]75.7715533568683[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 27 )[/C][C]12859.8[/C][C]163.880846365295[/C][C]78.47042705244[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 27 )[/C][C]12853.6904109589[/C][C]158.712042924028[/C][C]80.9874926574516[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 27 )[/C][C]12843.1985915493[/C][C]155.118763593851[/C][C]82.795906143094[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 27 )[/C][C]12843.1985915493[/C][C]152.162833665602[/C][C]84.4043074261744[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 27 )[/C][C]12823.8686567164[/C][C]148.820604886407[/C][C]86.1699807395941[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 27 )[/C][C]12811.4784615385[/C][C]145.368826337135[/C][C]88.130851602437[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 27 )[/C][C]12800.4301587302[/C][C]142.942950221758[/C][C]89.5492232311696[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 27 )[/C][C]12790.4147540984[/C][C]140.452714615347[/C][C]91.0656286646154[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 27 )[/C][C]12781.6152542373[/C][C]137.985418422862[/C][C]92.6301880323869[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 27 )[/C][C]12773.7649122807[/C][C]135.977798582484[/C][C]93.9400773173436[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 27 )[/C][C]12773.7649122807[/C][C]133.613713707100[/C][C]95.6021994889128[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 27 )[/C][C]12754.2924528302[/C][C]130.826710295054[/C][C]97.4899729884318[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 27 )[/C][C]12742.5254901961[/C][C]127.504033795264[/C][C]99.9382145874462[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 27 )[/C][C]12734.6326530612[/C][C]124.905720206771[/C][C]101.953958809734[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 27 )[/C][C]12724.7319148936[/C][C]122.644106222001[/C][C]103.753309530099[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 27 )[/C][C]12717.5377777778[/C][C]121.271442643756[/C][C]104.868363899459[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 27 )[/C][C]12712.5093023256[/C][C]120.209650831281[/C][C]105.752817801360[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 27 )[/C][C]12708.4853658537[/C][C]119.131959657009[/C][C]106.675701486339[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 27 )[/C][C]12703.5871794872[/C][C]118.128676048563[/C][C]107.540248519036[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 27 )[/C][C]12698.2324324324[/C][C]116.581123210835[/C][C]108.921857009971[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 27 )[/C][C]12693.3314285714[/C][C]114.797476824337[/C][C]110.571519337440[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 27 )[/C][C]12689.2454545455[/C][C]112.990405456422[/C][C]112.303742988509[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 27 )[/C][C]12683.2225806452[/C][C]111.224847992527[/C][C]114.032276146579[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 27 )[/C][C]12678.0827586207[/C][C]109.284514457543[/C][C]116.009874057190[/C][/ROW]
[ROW][C]Median[/C][C]12648.6[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]13206.5[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]12682.3357142857[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]12712.5093023256[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]12712.5093023256[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]12712.5093023256[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]12708.4853658537[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]12682.3357142857[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]12712.5093023256[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]12712.5093023256[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]83[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10571&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10571&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 Mean12875.5156626506189.78794767378567.8415875215721
Geometric Mean12761.6357868947
Harmonic Mean12648.4879439586
Quadratic Mean12989.7074530531
Winsorized Mean ( 1 / 27 )12867.1493975904185.22593428149869.4673208020396
Winsorized Mean ( 2 / 27 )12873.9566265060183.45403757618870.1753790573265
Winsorized Mean ( 3 / 27 )12875.7277108434182.83525359416370.4225659862265
Winsorized Mean ( 4 / 27 )12881.2939759036178.00206219150872.3659817044418
Winsorized Mean ( 5 / 27 )12898.5650602410169.80125061048775.962721204153
Winsorized Mean ( 6 / 27 )12890.4686746988164.90067424164078.1711095723572
Winsorized Mean ( 7 / 27 )12889.3975903614164.07966122487478.5557301504682
Winsorized Mean ( 8 / 27 )12901.4939759036161.52601274309179.8725465750436
Winsorized Mean ( 9 / 27 )12886.9530120482153.45108645425683.9808522039353
Winsorized Mean ( 10 / 27 )12874.0373493976151.10185287850485.2010554744762
Winsorized Mean ( 11 / 27 )12859.2204819277148.09116812979186.8331355902168
Winsorized Mean ( 12 / 27 )12846.3096385542142.59224657145190.0912212791116
Winsorized Mean ( 13 / 27 )12851.0554216867141.58551436883090.7653263751953
Winsorized Mean ( 14 / 27 )12858.6626506024140.38476991954191.5958522991641
Winsorized Mean ( 15 / 27 )12862.7469879518139.16316638132792.4292492217806
Winsorized Mean ( 16 / 27 )12817.0795180723131.18590324416997.7016523964211
Winsorized Mean ( 17 / 27 )12829.9421686747125.286694394506102.404666598318
Winsorized Mean ( 18 / 27 )12794.9397590361117.069356650860109.293671077350
Winsorized Mean ( 19 / 27 )12767.0349397590112.614680431564113.369188553686
Winsorized Mean ( 20 / 27 )12752.2638554217110.023910400266115.904477572457
Winsorized Mean ( 21 / 27 )12756.8180722892106.751767820666119.499829677008
Winsorized Mean ( 22 / 27 )12756.1024096386106.449106899080119.832873954800
Winsorized Mean ( 23 / 27 )12745.7662650602103.976765390368122.58283105084
Winsorized Mean ( 24 / 27 )12732.3204819277100.218119022591127.046093122718
Winsorized Mean ( 25 / 27 )12745.483132530195.9130598404386132.885794215444
Winsorized Mean ( 26 / 27 )12729.914457831392.5456037901167137.552881352434
Winsorized Mean ( 27 / 27 )12729.719277108492.0172140729195138.340629037309
Trimmed Mean ( 1 / 27 )12867.3432098765180.51476571678271.2813888591512
Trimmed Mean ( 2 / 27 )12867.5468354430175.04321767864173.5106849958985
Trimmed Mean ( 3 / 27 )12864.0922077922169.77469298016175.7715533568683
Trimmed Mean ( 4 / 27 )12859.8163.88084636529578.47042705244
Trimmed Mean ( 5 / 27 )12853.6904109589158.71204292402880.9874926574516
Trimmed Mean ( 6 / 27 )12843.1985915493155.11876359385182.795906143094
Trimmed Mean ( 7 / 27 )12843.1985915493152.16283366560284.4043074261744
Trimmed Mean ( 8 / 27 )12823.8686567164148.82060488640786.1699807395941
Trimmed Mean ( 9 / 27 )12811.4784615385145.36882633713588.130851602437
Trimmed Mean ( 10 / 27 )12800.4301587302142.94295022175889.5492232311696
Trimmed Mean ( 11 / 27 )12790.4147540984140.45271461534791.0656286646154
Trimmed Mean ( 12 / 27 )12781.6152542373137.98541842286292.6301880323869
Trimmed Mean ( 13 / 27 )12773.7649122807135.97779858248493.9400773173436
Trimmed Mean ( 14 / 27 )12773.7649122807133.61371370710095.6021994889128
Trimmed Mean ( 15 / 27 )12754.2924528302130.82671029505497.4899729884318
Trimmed Mean ( 16 / 27 )12742.5254901961127.50403379526499.9382145874462
Trimmed Mean ( 17 / 27 )12734.6326530612124.905720206771101.953958809734
Trimmed Mean ( 18 / 27 )12724.7319148936122.644106222001103.753309530099
Trimmed Mean ( 19 / 27 )12717.5377777778121.271442643756104.868363899459
Trimmed Mean ( 20 / 27 )12712.5093023256120.209650831281105.752817801360
Trimmed Mean ( 21 / 27 )12708.4853658537119.131959657009106.675701486339
Trimmed Mean ( 22 / 27 )12703.5871794872118.128676048563107.540248519036
Trimmed Mean ( 23 / 27 )12698.2324324324116.581123210835108.921857009971
Trimmed Mean ( 24 / 27 )12693.3314285714114.797476824337110.571519337440
Trimmed Mean ( 25 / 27 )12689.2454545455112.990405456422112.303742988509
Trimmed Mean ( 26 / 27 )12683.2225806452111.224847992527114.032276146579
Trimmed Mean ( 27 / 27 )12678.0827586207109.284514457543116.009874057190
Median12648.6
Midrange13206.5
Midmean - Weighted Average at Xnp12682.3357142857
Midmean - Weighted Average at X(n+1)p12712.5093023256
Midmean - Empirical Distribution Function12712.5093023256
Midmean - Empirical Distribution Function - Averaging12712.5093023256
Midmean - Empirical Distribution Function - Interpolation12708.4853658537
Midmean - Closest Observation12682.3357142857
Midmean - True Basic - Statistics Graphics Toolkit12712.5093023256
Midmean - MS Excel (old versions)12712.5093023256
Number of observations83



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')