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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 computationSat, 16 Oct 2010 11:00:15 +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/2010/Oct/16/t1287226761z77r91tus102ha6.htm/, Retrieved Sun, 28 Apr 2024 07:31:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83698, Retrieved Sun, 28 Apr 2024 07:31:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W52
Estimated Impact152
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [totaal maandelijk...] [2010-10-16 11:00:15] [6724f75f9c1330f68e70e1e39953a3c7] [Current]
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Dataseries X:
68897
38683
44720
39525
45315
50380
40600
36279
42438
38064
31879
11379
70249
39253
47060
41697
38708
49267
39018
32228
40870
39383
34571
12066
70938
34077
45409
40809
37013
44953
37848
32745
43412
34931
33008
8620
68906
39556
50669
36432
40891
48428
36222
33425
39401
37967
34801
12657
69116
41519
51321
38529
41547
52073
38401
40898
40439
41888
37898
8771
68184
50530
47221
41756
45633
48138
39486
39341
41117
41629
29722
7054
56676
34870
35117
30169
30936
35699
33228
27733
33666
35429
27438
8170




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83698&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83698&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83698&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean39368.91666666671425.9702367997627.6085121909841
Geometric Mean36387.4749682362
Harmonic Mean31595.7989601643
Quadratic Mean41457.0025707933
Winsorized Mean ( 1 / 28 )393741420.2298232036827.7236820102694
Winsorized Mean ( 2 / 28 )39357.73809523811410.4432457525927.9045174017174
Winsorized Mean ( 3 / 28 )39355.63095238101407.1270607356127.9687826711305
Winsorized Mean ( 4 / 28 )39479.39285714291375.4611575302028.7026592070639
Winsorized Mean ( 5 / 28 )39477.84523809521354.556334702429.1444838628795
Winsorized Mean ( 6 / 28 )38698.05952380951159.8685801264033.3641760686304
Winsorized Mean ( 7 / 28 )39546.2261904762798.85469640959849.5036536283935
Winsorized Mean ( 8 / 28 )39502.7023809524780.4353560875450.6162388374949
Winsorized Mean ( 9 / 28 )39645.9523809524730.85922148966454.2456757953256
Winsorized Mean ( 10 / 28 )39682.6190476190719.25850151244255.1715676132785
Winsorized Mean ( 11 / 28 )39763.4166666667700.04152880834256.8015110965697
Winsorized Mean ( 12 / 28 )39739.1309523810651.44701588801461.001324717423
Winsorized Mean ( 13 / 28 )39663.2976190476621.13836691114463.8558165651384
Winsorized Mean ( 14 / 28 )39701.1309523810600.712404036866.0900801874382
Winsorized Mean ( 15 / 28 )39584.3452380952566.9981722006269.8138850861925
Winsorized Mean ( 16 / 28 )39595.5833333333556.21248426825371.1878723567754
Winsorized Mean ( 17 / 28 )39346.6547619048505.59228869783977.822893349981
Winsorized Mean ( 18 / 28 )39350.2976190476491.18529926663380.112938391682
Winsorized Mean ( 19 / 28 )39422475.23465502625482.9527046966348
Winsorized Mean ( 20 / 28 )39453.4285714286446.68134452565988.325668969509
Winsorized Mean ( 21 / 28 )39452.6785714286430.53801988163891.6357597925377
Winsorized Mean ( 22 / 28 )39128.1785714286379.475944675941103.111090756603
Winsorized Mean ( 23 / 28 )38878.1904761905342.269085140076113.589547417872
Winsorized Mean ( 24 / 28 )38774.1904761905315.664615678672122.833502870846
Winsorized Mean ( 25 / 28 )38827.7619047619298.144920721246130.231170166619
Winsorized Mean ( 26 / 28 )38893.0714285714284.589111960567136.663947403443
Winsorized Mean ( 27 / 28 )39039.3214285714259.605887118746150.379183853849
Winsorized Mean ( 28 / 28 )39030.9880952381253.84822710075153.757182159665
Trimmed Mean ( 1 / 28 )39378.01219512191351.7213989159329.1317517253946
Trimmed Mean ( 2 / 28 )39382.2251270.9619527881730.9861557331478
Trimmed Mean ( 3 / 28 )39395.41025641031181.1139008432733.3544548313956
Trimmed Mean ( 4 / 28 )39410.06578947371073.5908533834536.7086452583606
Trimmed Mean ( 5 / 28 )39390.3918918919953.81656493657941.2976596758005
Trimmed Mean ( 6 / 28 )39369.9861111111808.16838075261348.7150785018928
Trimmed Mean ( 7 / 28 )39504.3714285714693.72908393185556.9449549450516
Trimmed Mean ( 8 / 28 )39496.9852941177666.01209709246759.3037055431052
Trimmed Mean ( 9 / 28 )39496.0757575758637.35976027222561.9682606581665
Trimmed Mean ( 10 / 28 )39474.21875614.45841202921764.2422952916186
Trimmed Mean ( 11 / 28 )39445.9838709677589.31335044181466.9355001738799
Trimmed Mean ( 12 / 28 )39405.5833333333562.82709625406170.0136571170795
Trimmed Mean ( 13 / 28 )39365.3275862069540.94039321039172.7720245710996
Trimmed Mean ( 14 / 28 )39330.9464285714520.44265214275.5721043744127
Trimmed Mean ( 15 / 28 )39289.8148148148499.20281178240278.7051152106509
Trimmed Mean ( 16 / 28 )39258.0961538462479.91446515076781.8022772902106
Trimmed Mean ( 17 / 28 )39222.66457.81580166379385.6734517626022
Trimmed Mean ( 18 / 28 )39209.8958333333441.02323220795188.9066447520957
Trimmed Mean ( 19 / 28 )39195.6521739130422.56541010109392.7564141242324
Trimmed Mean ( 20 / 28 )39172.9090909091402.13001959804797.4135408494614
Trimmed Mean ( 21 / 28 )39144.8571428571382.039056098895102.462972091325
Trimmed Mean ( 22 / 28 )39114.075359.257870009081108.874650398087
Trimmed Mean ( 23 / 28 )39112.6578947368342.423471688880114.223063336832
Trimmed Mean ( 24 / 28 )39136.4444444444328.892271271754118.99472217183
Trimmed Mean ( 25 / 28 )39173.7352941177316.678515517577123.701903901161
Trimmed Mean ( 26 / 28 )39210.0625304.182411375347128.903122053354
Trimmed Mean ( 27 / 28 )39244.2290.143335168204135.257975087551
Trimmed Mean ( 28 / 28 )39266.9642857143277.94567377782141.275680790423
Median39362
Midrange38996
Midmean - Weighted Average at Xnp39038.488372093
Midmean - Weighted Average at X(n+1)p39144.8571428571
Midmean - Empirical Distribution Function39038.488372093
Midmean - Empirical Distribution Function - Averaging39144.8571428571
Midmean - Empirical Distribution Function - Interpolation39144.8571428571
Midmean - Closest Observation39038.488372093
Midmean - True Basic - Statistics Graphics Toolkit39144.8571428571
Midmean - MS Excel (old versions)39172.9090909091
Number of observations84

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 39368.9166666667 & 1425.97023679976 & 27.6085121909841 \tabularnewline
Geometric Mean & 36387.4749682362 &  &  \tabularnewline
Harmonic Mean & 31595.7989601643 &  &  \tabularnewline
Quadratic Mean & 41457.0025707933 &  &  \tabularnewline
Winsorized Mean ( 1 / 28 ) & 39374 & 1420.22982320368 & 27.7236820102694 \tabularnewline
Winsorized Mean ( 2 / 28 ) & 39357.7380952381 & 1410.44324575259 & 27.9045174017174 \tabularnewline
Winsorized Mean ( 3 / 28 ) & 39355.6309523810 & 1407.12706073561 & 27.9687826711305 \tabularnewline
Winsorized Mean ( 4 / 28 ) & 39479.3928571429 & 1375.46115753020 & 28.7026592070639 \tabularnewline
Winsorized Mean ( 5 / 28 ) & 39477.8452380952 & 1354.5563347024 & 29.1444838628795 \tabularnewline
Winsorized Mean ( 6 / 28 ) & 38698.0595238095 & 1159.86858012640 & 33.3641760686304 \tabularnewline
Winsorized Mean ( 7 / 28 ) & 39546.2261904762 & 798.854696409598 & 49.5036536283935 \tabularnewline
Winsorized Mean ( 8 / 28 ) & 39502.7023809524 & 780.43535608754 & 50.6162388374949 \tabularnewline
Winsorized Mean ( 9 / 28 ) & 39645.9523809524 & 730.859221489664 & 54.2456757953256 \tabularnewline
Winsorized Mean ( 10 / 28 ) & 39682.6190476190 & 719.258501512442 & 55.1715676132785 \tabularnewline
Winsorized Mean ( 11 / 28 ) & 39763.4166666667 & 700.041528808342 & 56.8015110965697 \tabularnewline
Winsorized Mean ( 12 / 28 ) & 39739.1309523810 & 651.447015888014 & 61.001324717423 \tabularnewline
Winsorized Mean ( 13 / 28 ) & 39663.2976190476 & 621.138366911144 & 63.8558165651384 \tabularnewline
Winsorized Mean ( 14 / 28 ) & 39701.1309523810 & 600.7124040368 & 66.0900801874382 \tabularnewline
Winsorized Mean ( 15 / 28 ) & 39584.3452380952 & 566.99817220062 & 69.8138850861925 \tabularnewline
Winsorized Mean ( 16 / 28 ) & 39595.5833333333 & 556.212484268253 & 71.1878723567754 \tabularnewline
Winsorized Mean ( 17 / 28 ) & 39346.6547619048 & 505.592288697839 & 77.822893349981 \tabularnewline
Winsorized Mean ( 18 / 28 ) & 39350.2976190476 & 491.185299266633 & 80.112938391682 \tabularnewline
Winsorized Mean ( 19 / 28 ) & 39422 & 475.234655026254 & 82.9527046966348 \tabularnewline
Winsorized Mean ( 20 / 28 ) & 39453.4285714286 & 446.681344525659 & 88.325668969509 \tabularnewline
Winsorized Mean ( 21 / 28 ) & 39452.6785714286 & 430.538019881638 & 91.6357597925377 \tabularnewline
Winsorized Mean ( 22 / 28 ) & 39128.1785714286 & 379.475944675941 & 103.111090756603 \tabularnewline
Winsorized Mean ( 23 / 28 ) & 38878.1904761905 & 342.269085140076 & 113.589547417872 \tabularnewline
Winsorized Mean ( 24 / 28 ) & 38774.1904761905 & 315.664615678672 & 122.833502870846 \tabularnewline
Winsorized Mean ( 25 / 28 ) & 38827.7619047619 & 298.144920721246 & 130.231170166619 \tabularnewline
Winsorized Mean ( 26 / 28 ) & 38893.0714285714 & 284.589111960567 & 136.663947403443 \tabularnewline
Winsorized Mean ( 27 / 28 ) & 39039.3214285714 & 259.605887118746 & 150.379183853849 \tabularnewline
Winsorized Mean ( 28 / 28 ) & 39030.9880952381 & 253.84822710075 & 153.757182159665 \tabularnewline
Trimmed Mean ( 1 / 28 ) & 39378.0121951219 & 1351.72139891593 & 29.1317517253946 \tabularnewline
Trimmed Mean ( 2 / 28 ) & 39382.225 & 1270.96195278817 & 30.9861557331478 \tabularnewline
Trimmed Mean ( 3 / 28 ) & 39395.4102564103 & 1181.11390084327 & 33.3544548313956 \tabularnewline
Trimmed Mean ( 4 / 28 ) & 39410.0657894737 & 1073.59085338345 & 36.7086452583606 \tabularnewline
Trimmed Mean ( 5 / 28 ) & 39390.3918918919 & 953.816564936579 & 41.2976596758005 \tabularnewline
Trimmed Mean ( 6 / 28 ) & 39369.9861111111 & 808.168380752613 & 48.7150785018928 \tabularnewline
Trimmed Mean ( 7 / 28 ) & 39504.3714285714 & 693.729083931855 & 56.9449549450516 \tabularnewline
Trimmed Mean ( 8 / 28 ) & 39496.9852941177 & 666.012097092467 & 59.3037055431052 \tabularnewline
Trimmed Mean ( 9 / 28 ) & 39496.0757575758 & 637.359760272225 & 61.9682606581665 \tabularnewline
Trimmed Mean ( 10 / 28 ) & 39474.21875 & 614.458412029217 & 64.2422952916186 \tabularnewline
Trimmed Mean ( 11 / 28 ) & 39445.9838709677 & 589.313350441814 & 66.9355001738799 \tabularnewline
Trimmed Mean ( 12 / 28 ) & 39405.5833333333 & 562.827096254061 & 70.0136571170795 \tabularnewline
Trimmed Mean ( 13 / 28 ) & 39365.3275862069 & 540.940393210391 & 72.7720245710996 \tabularnewline
Trimmed Mean ( 14 / 28 ) & 39330.9464285714 & 520.442652142 & 75.5721043744127 \tabularnewline
Trimmed Mean ( 15 / 28 ) & 39289.8148148148 & 499.202811782402 & 78.7051152106509 \tabularnewline
Trimmed Mean ( 16 / 28 ) & 39258.0961538462 & 479.914465150767 & 81.8022772902106 \tabularnewline
Trimmed Mean ( 17 / 28 ) & 39222.66 & 457.815801663793 & 85.6734517626022 \tabularnewline
Trimmed Mean ( 18 / 28 ) & 39209.8958333333 & 441.023232207951 & 88.9066447520957 \tabularnewline
Trimmed Mean ( 19 / 28 ) & 39195.6521739130 & 422.565410101093 & 92.7564141242324 \tabularnewline
Trimmed Mean ( 20 / 28 ) & 39172.9090909091 & 402.130019598047 & 97.4135408494614 \tabularnewline
Trimmed Mean ( 21 / 28 ) & 39144.8571428571 & 382.039056098895 & 102.462972091325 \tabularnewline
Trimmed Mean ( 22 / 28 ) & 39114.075 & 359.257870009081 & 108.874650398087 \tabularnewline
Trimmed Mean ( 23 / 28 ) & 39112.6578947368 & 342.423471688880 & 114.223063336832 \tabularnewline
Trimmed Mean ( 24 / 28 ) & 39136.4444444444 & 328.892271271754 & 118.99472217183 \tabularnewline
Trimmed Mean ( 25 / 28 ) & 39173.7352941177 & 316.678515517577 & 123.701903901161 \tabularnewline
Trimmed Mean ( 26 / 28 ) & 39210.0625 & 304.182411375347 & 128.903122053354 \tabularnewline
Trimmed Mean ( 27 / 28 ) & 39244.2 & 290.143335168204 & 135.257975087551 \tabularnewline
Trimmed Mean ( 28 / 28 ) & 39266.9642857143 & 277.94567377782 & 141.275680790423 \tabularnewline
Median & 39362 &  &  \tabularnewline
Midrange & 38996 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 39038.488372093 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 39144.8571428571 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 39038.488372093 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 39144.8571428571 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 39144.8571428571 &  &  \tabularnewline
Midmean - Closest Observation & 39038.488372093 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 39144.8571428571 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 39172.9090909091 &  &  \tabularnewline
Number of observations & 84 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83698&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]39368.9166666667[/C][C]1425.97023679976[/C][C]27.6085121909841[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]36387.4749682362[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]31595.7989601643[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]41457.0025707933[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 28 )[/C][C]39374[/C][C]1420.22982320368[/C][C]27.7236820102694[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 28 )[/C][C]39357.7380952381[/C][C]1410.44324575259[/C][C]27.9045174017174[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 28 )[/C][C]39355.6309523810[/C][C]1407.12706073561[/C][C]27.9687826711305[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 28 )[/C][C]39479.3928571429[/C][C]1375.46115753020[/C][C]28.7026592070639[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 28 )[/C][C]39477.8452380952[/C][C]1354.5563347024[/C][C]29.1444838628795[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 28 )[/C][C]38698.0595238095[/C][C]1159.86858012640[/C][C]33.3641760686304[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 28 )[/C][C]39546.2261904762[/C][C]798.854696409598[/C][C]49.5036536283935[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 28 )[/C][C]39502.7023809524[/C][C]780.43535608754[/C][C]50.6162388374949[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 28 )[/C][C]39645.9523809524[/C][C]730.859221489664[/C][C]54.2456757953256[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 28 )[/C][C]39682.6190476190[/C][C]719.258501512442[/C][C]55.1715676132785[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 28 )[/C][C]39763.4166666667[/C][C]700.041528808342[/C][C]56.8015110965697[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 28 )[/C][C]39739.1309523810[/C][C]651.447015888014[/C][C]61.001324717423[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 28 )[/C][C]39663.2976190476[/C][C]621.138366911144[/C][C]63.8558165651384[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 28 )[/C][C]39701.1309523810[/C][C]600.7124040368[/C][C]66.0900801874382[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 28 )[/C][C]39584.3452380952[/C][C]566.99817220062[/C][C]69.8138850861925[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 28 )[/C][C]39595.5833333333[/C][C]556.212484268253[/C][C]71.1878723567754[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 28 )[/C][C]39346.6547619048[/C][C]505.592288697839[/C][C]77.822893349981[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 28 )[/C][C]39350.2976190476[/C][C]491.185299266633[/C][C]80.112938391682[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 28 )[/C][C]39422[/C][C]475.234655026254[/C][C]82.9527046966348[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 28 )[/C][C]39453.4285714286[/C][C]446.681344525659[/C][C]88.325668969509[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 28 )[/C][C]39452.6785714286[/C][C]430.538019881638[/C][C]91.6357597925377[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 28 )[/C][C]39128.1785714286[/C][C]379.475944675941[/C][C]103.111090756603[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 28 )[/C][C]38878.1904761905[/C][C]342.269085140076[/C][C]113.589547417872[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 28 )[/C][C]38774.1904761905[/C][C]315.664615678672[/C][C]122.833502870846[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 28 )[/C][C]38827.7619047619[/C][C]298.144920721246[/C][C]130.231170166619[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 28 )[/C][C]38893.0714285714[/C][C]284.589111960567[/C][C]136.663947403443[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 28 )[/C][C]39039.3214285714[/C][C]259.605887118746[/C][C]150.379183853849[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 28 )[/C][C]39030.9880952381[/C][C]253.84822710075[/C][C]153.757182159665[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 28 )[/C][C]39378.0121951219[/C][C]1351.72139891593[/C][C]29.1317517253946[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 28 )[/C][C]39382.225[/C][C]1270.96195278817[/C][C]30.9861557331478[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 28 )[/C][C]39395.4102564103[/C][C]1181.11390084327[/C][C]33.3544548313956[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 28 )[/C][C]39410.0657894737[/C][C]1073.59085338345[/C][C]36.7086452583606[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 28 )[/C][C]39390.3918918919[/C][C]953.816564936579[/C][C]41.2976596758005[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 28 )[/C][C]39369.9861111111[/C][C]808.168380752613[/C][C]48.7150785018928[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 28 )[/C][C]39504.3714285714[/C][C]693.729083931855[/C][C]56.9449549450516[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 28 )[/C][C]39496.9852941177[/C][C]666.012097092467[/C][C]59.3037055431052[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 28 )[/C][C]39496.0757575758[/C][C]637.359760272225[/C][C]61.9682606581665[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 28 )[/C][C]39474.21875[/C][C]614.458412029217[/C][C]64.2422952916186[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 28 )[/C][C]39445.9838709677[/C][C]589.313350441814[/C][C]66.9355001738799[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 28 )[/C][C]39405.5833333333[/C][C]562.827096254061[/C][C]70.0136571170795[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 28 )[/C][C]39365.3275862069[/C][C]540.940393210391[/C][C]72.7720245710996[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 28 )[/C][C]39330.9464285714[/C][C]520.442652142[/C][C]75.5721043744127[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 28 )[/C][C]39289.8148148148[/C][C]499.202811782402[/C][C]78.7051152106509[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 28 )[/C][C]39258.0961538462[/C][C]479.914465150767[/C][C]81.8022772902106[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 28 )[/C][C]39222.66[/C][C]457.815801663793[/C][C]85.6734517626022[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 28 )[/C][C]39209.8958333333[/C][C]441.023232207951[/C][C]88.9066447520957[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 28 )[/C][C]39195.6521739130[/C][C]422.565410101093[/C][C]92.7564141242324[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 28 )[/C][C]39172.9090909091[/C][C]402.130019598047[/C][C]97.4135408494614[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 28 )[/C][C]39144.8571428571[/C][C]382.039056098895[/C][C]102.462972091325[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 28 )[/C][C]39114.075[/C][C]359.257870009081[/C][C]108.874650398087[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 28 )[/C][C]39112.6578947368[/C][C]342.423471688880[/C][C]114.223063336832[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 28 )[/C][C]39136.4444444444[/C][C]328.892271271754[/C][C]118.99472217183[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 28 )[/C][C]39173.7352941177[/C][C]316.678515517577[/C][C]123.701903901161[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 28 )[/C][C]39210.0625[/C][C]304.182411375347[/C][C]128.903122053354[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 28 )[/C][C]39244.2[/C][C]290.143335168204[/C][C]135.257975087551[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 28 )[/C][C]39266.9642857143[/C][C]277.94567377782[/C][C]141.275680790423[/C][/ROW]
[ROW][C]Median[/C][C]39362[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]38996[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]39038.488372093[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]39144.8571428571[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]39038.488372093[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]39144.8571428571[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]39144.8571428571[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]39038.488372093[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]39144.8571428571[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]39172.9090909091[/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=83698&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83698&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 Mean39368.91666666671425.9702367997627.6085121909841
Geometric Mean36387.4749682362
Harmonic Mean31595.7989601643
Quadratic Mean41457.0025707933
Winsorized Mean ( 1 / 28 )393741420.2298232036827.7236820102694
Winsorized Mean ( 2 / 28 )39357.73809523811410.4432457525927.9045174017174
Winsorized Mean ( 3 / 28 )39355.63095238101407.1270607356127.9687826711305
Winsorized Mean ( 4 / 28 )39479.39285714291375.4611575302028.7026592070639
Winsorized Mean ( 5 / 28 )39477.84523809521354.556334702429.1444838628795
Winsorized Mean ( 6 / 28 )38698.05952380951159.8685801264033.3641760686304
Winsorized Mean ( 7 / 28 )39546.2261904762798.85469640959849.5036536283935
Winsorized Mean ( 8 / 28 )39502.7023809524780.4353560875450.6162388374949
Winsorized Mean ( 9 / 28 )39645.9523809524730.85922148966454.2456757953256
Winsorized Mean ( 10 / 28 )39682.6190476190719.25850151244255.1715676132785
Winsorized Mean ( 11 / 28 )39763.4166666667700.04152880834256.8015110965697
Winsorized Mean ( 12 / 28 )39739.1309523810651.44701588801461.001324717423
Winsorized Mean ( 13 / 28 )39663.2976190476621.13836691114463.8558165651384
Winsorized Mean ( 14 / 28 )39701.1309523810600.712404036866.0900801874382
Winsorized Mean ( 15 / 28 )39584.3452380952566.9981722006269.8138850861925
Winsorized Mean ( 16 / 28 )39595.5833333333556.21248426825371.1878723567754
Winsorized Mean ( 17 / 28 )39346.6547619048505.59228869783977.822893349981
Winsorized Mean ( 18 / 28 )39350.2976190476491.18529926663380.112938391682
Winsorized Mean ( 19 / 28 )39422475.23465502625482.9527046966348
Winsorized Mean ( 20 / 28 )39453.4285714286446.68134452565988.325668969509
Winsorized Mean ( 21 / 28 )39452.6785714286430.53801988163891.6357597925377
Winsorized Mean ( 22 / 28 )39128.1785714286379.475944675941103.111090756603
Winsorized Mean ( 23 / 28 )38878.1904761905342.269085140076113.589547417872
Winsorized Mean ( 24 / 28 )38774.1904761905315.664615678672122.833502870846
Winsorized Mean ( 25 / 28 )38827.7619047619298.144920721246130.231170166619
Winsorized Mean ( 26 / 28 )38893.0714285714284.589111960567136.663947403443
Winsorized Mean ( 27 / 28 )39039.3214285714259.605887118746150.379183853849
Winsorized Mean ( 28 / 28 )39030.9880952381253.84822710075153.757182159665
Trimmed Mean ( 1 / 28 )39378.01219512191351.7213989159329.1317517253946
Trimmed Mean ( 2 / 28 )39382.2251270.9619527881730.9861557331478
Trimmed Mean ( 3 / 28 )39395.41025641031181.1139008432733.3544548313956
Trimmed Mean ( 4 / 28 )39410.06578947371073.5908533834536.7086452583606
Trimmed Mean ( 5 / 28 )39390.3918918919953.81656493657941.2976596758005
Trimmed Mean ( 6 / 28 )39369.9861111111808.16838075261348.7150785018928
Trimmed Mean ( 7 / 28 )39504.3714285714693.72908393185556.9449549450516
Trimmed Mean ( 8 / 28 )39496.9852941177666.01209709246759.3037055431052
Trimmed Mean ( 9 / 28 )39496.0757575758637.35976027222561.9682606581665
Trimmed Mean ( 10 / 28 )39474.21875614.45841202921764.2422952916186
Trimmed Mean ( 11 / 28 )39445.9838709677589.31335044181466.9355001738799
Trimmed Mean ( 12 / 28 )39405.5833333333562.82709625406170.0136571170795
Trimmed Mean ( 13 / 28 )39365.3275862069540.94039321039172.7720245710996
Trimmed Mean ( 14 / 28 )39330.9464285714520.44265214275.5721043744127
Trimmed Mean ( 15 / 28 )39289.8148148148499.20281178240278.7051152106509
Trimmed Mean ( 16 / 28 )39258.0961538462479.91446515076781.8022772902106
Trimmed Mean ( 17 / 28 )39222.66457.81580166379385.6734517626022
Trimmed Mean ( 18 / 28 )39209.8958333333441.02323220795188.9066447520957
Trimmed Mean ( 19 / 28 )39195.6521739130422.56541010109392.7564141242324
Trimmed Mean ( 20 / 28 )39172.9090909091402.13001959804797.4135408494614
Trimmed Mean ( 21 / 28 )39144.8571428571382.039056098895102.462972091325
Trimmed Mean ( 22 / 28 )39114.075359.257870009081108.874650398087
Trimmed Mean ( 23 / 28 )39112.6578947368342.423471688880114.223063336832
Trimmed Mean ( 24 / 28 )39136.4444444444328.892271271754118.99472217183
Trimmed Mean ( 25 / 28 )39173.7352941177316.678515517577123.701903901161
Trimmed Mean ( 26 / 28 )39210.0625304.182411375347128.903122053354
Trimmed Mean ( 27 / 28 )39244.2290.143335168204135.257975087551
Trimmed Mean ( 28 / 28 )39266.9642857143277.94567377782141.275680790423
Median39362
Midrange38996
Midmean - Weighted Average at Xnp39038.488372093
Midmean - Weighted Average at X(n+1)p39144.8571428571
Midmean - Empirical Distribution Function39038.488372093
Midmean - Empirical Distribution Function - Averaging39144.8571428571
Midmean - Empirical Distribution Function - Interpolation39144.8571428571
Midmean - Closest Observation39038.488372093
Midmean - True Basic - Statistics Graphics Toolkit39144.8571428571
Midmean - MS Excel (old versions)39172.9090909091
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')