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Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationSun, 14 Mar 2010 16:11:50 -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/2010/Mar/14/t12686048803qeloljwvkniav5.htm/, Retrieved Wed, 19 Jan 2022 10:07:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74434, Retrieved Wed, 19 Jan 2022 10:07:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W52
Estimated Impact100
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [centrummaten- gem...] [2010-03-14 22:11:50] [17264c076bcd9ffe53c701d21c08cfe9] [Current]
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Dataseries X:
2,06
2,06
2,05
2,04
2,04
2,03
2,03
2,03
2,02
2,02
2,02
2,02
2,01
2,01
2,01
2
2
1,99
1,99
1,99
1,98
1,97
1,97
1,96
1,96
1,96
1,96
1,95
1,94
1,94
1,93
1,93
1,93
1,92
1,92
1,9
1,9
1,9
1,9
1,89
1,88
1,88
1,87
1,86
1,86
1,85
1,83
1,82
1,8
1,8
1,79
1,78
1,78
1,78
1,77
1,77
1,76
1,75
1,75
1,75
1,75
1,75
1,74
1,74
1,74
1,74
1,73
1,73
1,73
1,73
1,73
1,72
1,71
1,71
1,71
1,7
1,7
1,7
1,7
1,7
1,69
1,68
1,67
1,65
1,61




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=74434&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=74434&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74434&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 Mean1.859058823529410.0136929345797930135.767743042669
Geometric Mean1.85481024308811
Harmonic Mean1.85055766212002
Quadratic Mean1.86328994302140
Winsorized Mean ( 1 / 28 )1.859529411764710.0135987990513919136.742178830444
Winsorized Mean ( 2 / 28 )1.859764705882350.0134757552503857138.008198525951
Winsorized Mean ( 3 / 28 )1.859764705882350.0133598928091066139.205061930936
Winsorized Mean ( 4 / 28 )1.860235294117650.0132863069194225140.011464841165
Winsorized Mean ( 5 / 28 )1.860235294117650.0131058783297873141.939002278822
Winsorized Mean ( 6 / 28 )1.860235294117650.0131058783297873141.939002278822
Winsorized Mean ( 7 / 28 )1.860235294117650.0131058783297873141.939002278822
Winsorized Mean ( 8 / 28 )1.859294117647060.0129638456912398143.421494048132
Winsorized Mean ( 9 / 28 )1.859294117647060.0129638456912398143.421494048132
Winsorized Mean ( 10 / 28 )1.860470588235290.0127954231601546145.401255194815
Winsorized Mean ( 11 / 28 )1.860470588235290.0127954231601546145.401255194815
Winsorized Mean ( 12 / 28 )1.859058823529410.0125898713562862147.663051584810
Winsorized Mean ( 13 / 28 )1.860588235294120.0123786580380456150.306134120164
Winsorized Mean ( 14 / 28 )1.862235294117650.0121606617358601153.136016326001
Winsorized Mean ( 15 / 28 )1.860470588235290.0119099161687705156.211896194006
Winsorized Mean ( 16 / 28 )1.860470588235290.0119099161687705156.211896194006
Winsorized Mean ( 17 / 28 )1.858470588235290.011635820625746159.719769495514
Winsorized Mean ( 18 / 28 )1.858470588235290.011635820625746159.719769495514
Winsorized Mean ( 19 / 28 )1.860705882352940.0113473157715084163.977624296394
Winsorized Mean ( 20 / 28 )1.858352941176470.0110332411652834168.432187182119
Winsorized Mean ( 21 / 28 )1.855882352941180.0107143900692452173.213999205455
Winsorized Mean ( 22 / 28 )1.855882352941180.0107143900692452173.213999205455
Winsorized Mean ( 23 / 28 )1.855882352941180.0100311756583240185.011449919246
Winsorized Mean ( 24 / 28 )1.855882352941180.0100311756583240185.011449919246
Winsorized Mean ( 25 / 28 )1.855882352941180.0100311756583240185.011449919246
Winsorized Mean ( 26 / 28 )1.855882352941180.0100311756583240185.011449919246
Winsorized Mean ( 27 / 28 )1.852705882352940.00964406935985854192.108311670222
Winsorized Mean ( 28 / 28 )1.852705882352940.00883776629208131209.635084377936
Trimmed Mean ( 1 / 28 )1.859638554216870.0134776463892305137.979473604741
Trimmed Mean ( 2 / 28 )1.859753086419750.0133344621149995139.469674170642
Trimmed Mean ( 3 / 28 )1.859746835443040.0132388424157256140.476544477481
Trimmed Mean ( 4 / 28 )1.859740259740260.0131711147868781141.198394352546
Trimmed Mean ( 5 / 28 )1.85960.0131099851911324141.846079372983
Trimmed Mean ( 6 / 28 )1.859452054794520.0130810760798319142.148248618581
Trimmed Mean ( 7 / 28 )1.859295774647890.0130381331193506142.604447862893
Trimmed Mean ( 8 / 28 )1.859130434782610.0129786681996566143.245085411137
Trimmed Mean ( 9 / 28 )1.859104477611940.0129287287925040143.796386129613
Trimmed Mean ( 10 / 28 )1.859076923076920.0128596773589055144.566373727058
Trimmed Mean ( 11 / 28 )1.858888888888890.0127986316615146145.241220940717
Trimmed Mean ( 12 / 28 )1.858688524590160.0127147679075106146.183441027833
Trimmed Mean ( 13 / 28 )1.858644067796610.012639537078241147.050011111267
Trimmed Mean ( 14 / 28 )1.858421052631580.0125725699797218147.815526628925
Trimmed Mean ( 15 / 28 )1.8580.0125136962002676148.477313997783
Trimmed Mean ( 16 / 28 )1.857735849056600.0124695318355161148.982004582188
Trimmed Mean ( 17 / 28 )1.857450980392160.0123981122448411149.817241827686
Trimmed Mean ( 18 / 28 )1.857346938775510.0123400498013171150.513731198821
Trimmed Mean ( 19 / 28 )1.857234042553190.0122482120413910151.633073976589
Trimmed Mean ( 20 / 28 )1.856888888888890.0121639566189833152.65500749904
Trimmed Mean ( 21 / 28 )1.856744186046510.0120937686114962153.528998750770
Trimmed Mean ( 22 / 28 )1.856829268292680.0120387536041018154.237666901002
Trimmed Mean ( 23 / 28 )1.856923076923080.0119386298804164155.539043887196
Trimmed Mean ( 24 / 28 )1.857027027027030.0119172879247424155.826312056413
Trimmed Mean ( 25 / 28 )1.857142857142860.0118504081309104156.715518708484
Trimmed Mean ( 26 / 28 )1.857272727272730.0117201646299516158.468143231227
Trimmed Mean ( 27 / 28 )1.857419354838710.0115000490128500161.514038136989
Trimmed Mean ( 28 / 28 )1.857931034482760.0112558612027238165.063427935054
Median1.87
Midrange1.835
Midmean - Weighted Average at Xnp1.85155555555556
Midmean - Weighted Average at X(n+1)p1.85155555555556
Midmean - Empirical Distribution Function1.85155555555556
Midmean - Empirical Distribution Function - Averaging1.85155555555556
Midmean - Empirical Distribution Function - Interpolation1.85155555555556
Midmean - Closest Observation1.85155555555556
Midmean - True Basic - Statistics Graphics Toolkit1.85155555555556
Midmean - MS Excel (old versions)1.85155555555556
Number of observations85

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 1.85905882352941 & 0.0136929345797930 & 135.767743042669 \tabularnewline
Geometric Mean & 1.85481024308811 &  &  \tabularnewline
Harmonic Mean & 1.85055766212002 &  &  \tabularnewline
Quadratic Mean & 1.86328994302140 &  &  \tabularnewline
Winsorized Mean ( 1 / 28 ) & 1.85952941176471 & 0.0135987990513919 & 136.742178830444 \tabularnewline
Winsorized Mean ( 2 / 28 ) & 1.85976470588235 & 0.0134757552503857 & 138.008198525951 \tabularnewline
Winsorized Mean ( 3 / 28 ) & 1.85976470588235 & 0.0133598928091066 & 139.205061930936 \tabularnewline
Winsorized Mean ( 4 / 28 ) & 1.86023529411765 & 0.0132863069194225 & 140.011464841165 \tabularnewline
Winsorized Mean ( 5 / 28 ) & 1.86023529411765 & 0.0131058783297873 & 141.939002278822 \tabularnewline
Winsorized Mean ( 6 / 28 ) & 1.86023529411765 & 0.0131058783297873 & 141.939002278822 \tabularnewline
Winsorized Mean ( 7 / 28 ) & 1.86023529411765 & 0.0131058783297873 & 141.939002278822 \tabularnewline
Winsorized Mean ( 8 / 28 ) & 1.85929411764706 & 0.0129638456912398 & 143.421494048132 \tabularnewline
Winsorized Mean ( 9 / 28 ) & 1.85929411764706 & 0.0129638456912398 & 143.421494048132 \tabularnewline
Winsorized Mean ( 10 / 28 ) & 1.86047058823529 & 0.0127954231601546 & 145.401255194815 \tabularnewline
Winsorized Mean ( 11 / 28 ) & 1.86047058823529 & 0.0127954231601546 & 145.401255194815 \tabularnewline
Winsorized Mean ( 12 / 28 ) & 1.85905882352941 & 0.0125898713562862 & 147.663051584810 \tabularnewline
Winsorized Mean ( 13 / 28 ) & 1.86058823529412 & 0.0123786580380456 & 150.306134120164 \tabularnewline
Winsorized Mean ( 14 / 28 ) & 1.86223529411765 & 0.0121606617358601 & 153.136016326001 \tabularnewline
Winsorized Mean ( 15 / 28 ) & 1.86047058823529 & 0.0119099161687705 & 156.211896194006 \tabularnewline
Winsorized Mean ( 16 / 28 ) & 1.86047058823529 & 0.0119099161687705 & 156.211896194006 \tabularnewline
Winsorized Mean ( 17 / 28 ) & 1.85847058823529 & 0.011635820625746 & 159.719769495514 \tabularnewline
Winsorized Mean ( 18 / 28 ) & 1.85847058823529 & 0.011635820625746 & 159.719769495514 \tabularnewline
Winsorized Mean ( 19 / 28 ) & 1.86070588235294 & 0.0113473157715084 & 163.977624296394 \tabularnewline
Winsorized Mean ( 20 / 28 ) & 1.85835294117647 & 0.0110332411652834 & 168.432187182119 \tabularnewline
Winsorized Mean ( 21 / 28 ) & 1.85588235294118 & 0.0107143900692452 & 173.213999205455 \tabularnewline
Winsorized Mean ( 22 / 28 ) & 1.85588235294118 & 0.0107143900692452 & 173.213999205455 \tabularnewline
Winsorized Mean ( 23 / 28 ) & 1.85588235294118 & 0.0100311756583240 & 185.011449919246 \tabularnewline
Winsorized Mean ( 24 / 28 ) & 1.85588235294118 & 0.0100311756583240 & 185.011449919246 \tabularnewline
Winsorized Mean ( 25 / 28 ) & 1.85588235294118 & 0.0100311756583240 & 185.011449919246 \tabularnewline
Winsorized Mean ( 26 / 28 ) & 1.85588235294118 & 0.0100311756583240 & 185.011449919246 \tabularnewline
Winsorized Mean ( 27 / 28 ) & 1.85270588235294 & 0.00964406935985854 & 192.108311670222 \tabularnewline
Winsorized Mean ( 28 / 28 ) & 1.85270588235294 & 0.00883776629208131 & 209.635084377936 \tabularnewline
Trimmed Mean ( 1 / 28 ) & 1.85963855421687 & 0.0134776463892305 & 137.979473604741 \tabularnewline
Trimmed Mean ( 2 / 28 ) & 1.85975308641975 & 0.0133344621149995 & 139.469674170642 \tabularnewline
Trimmed Mean ( 3 / 28 ) & 1.85974683544304 & 0.0132388424157256 & 140.476544477481 \tabularnewline
Trimmed Mean ( 4 / 28 ) & 1.85974025974026 & 0.0131711147868781 & 141.198394352546 \tabularnewline
Trimmed Mean ( 5 / 28 ) & 1.8596 & 0.0131099851911324 & 141.846079372983 \tabularnewline
Trimmed Mean ( 6 / 28 ) & 1.85945205479452 & 0.0130810760798319 & 142.148248618581 \tabularnewline
Trimmed Mean ( 7 / 28 ) & 1.85929577464789 & 0.0130381331193506 & 142.604447862893 \tabularnewline
Trimmed Mean ( 8 / 28 ) & 1.85913043478261 & 0.0129786681996566 & 143.245085411137 \tabularnewline
Trimmed Mean ( 9 / 28 ) & 1.85910447761194 & 0.0129287287925040 & 143.796386129613 \tabularnewline
Trimmed Mean ( 10 / 28 ) & 1.85907692307692 & 0.0128596773589055 & 144.566373727058 \tabularnewline
Trimmed Mean ( 11 / 28 ) & 1.85888888888889 & 0.0127986316615146 & 145.241220940717 \tabularnewline
Trimmed Mean ( 12 / 28 ) & 1.85868852459016 & 0.0127147679075106 & 146.183441027833 \tabularnewline
Trimmed Mean ( 13 / 28 ) & 1.85864406779661 & 0.012639537078241 & 147.050011111267 \tabularnewline
Trimmed Mean ( 14 / 28 ) & 1.85842105263158 & 0.0125725699797218 & 147.815526628925 \tabularnewline
Trimmed Mean ( 15 / 28 ) & 1.858 & 0.0125136962002676 & 148.477313997783 \tabularnewline
Trimmed Mean ( 16 / 28 ) & 1.85773584905660 & 0.0124695318355161 & 148.982004582188 \tabularnewline
Trimmed Mean ( 17 / 28 ) & 1.85745098039216 & 0.0123981122448411 & 149.817241827686 \tabularnewline
Trimmed Mean ( 18 / 28 ) & 1.85734693877551 & 0.0123400498013171 & 150.513731198821 \tabularnewline
Trimmed Mean ( 19 / 28 ) & 1.85723404255319 & 0.0122482120413910 & 151.633073976589 \tabularnewline
Trimmed Mean ( 20 / 28 ) & 1.85688888888889 & 0.0121639566189833 & 152.65500749904 \tabularnewline
Trimmed Mean ( 21 / 28 ) & 1.85674418604651 & 0.0120937686114962 & 153.528998750770 \tabularnewline
Trimmed Mean ( 22 / 28 ) & 1.85682926829268 & 0.0120387536041018 & 154.237666901002 \tabularnewline
Trimmed Mean ( 23 / 28 ) & 1.85692307692308 & 0.0119386298804164 & 155.539043887196 \tabularnewline
Trimmed Mean ( 24 / 28 ) & 1.85702702702703 & 0.0119172879247424 & 155.826312056413 \tabularnewline
Trimmed Mean ( 25 / 28 ) & 1.85714285714286 & 0.0118504081309104 & 156.715518708484 \tabularnewline
Trimmed Mean ( 26 / 28 ) & 1.85727272727273 & 0.0117201646299516 & 158.468143231227 \tabularnewline
Trimmed Mean ( 27 / 28 ) & 1.85741935483871 & 0.0115000490128500 & 161.514038136989 \tabularnewline
Trimmed Mean ( 28 / 28 ) & 1.85793103448276 & 0.0112558612027238 & 165.063427935054 \tabularnewline
Median & 1.87 &  &  \tabularnewline
Midrange & 1.835 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 1.85155555555556 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 1.85155555555556 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 1.85155555555556 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 1.85155555555556 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 1.85155555555556 &  &  \tabularnewline
Midmean - Closest Observation & 1.85155555555556 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 1.85155555555556 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 1.85155555555556 &  &  \tabularnewline
Number of observations & 85 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74434&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]1.85905882352941[/C][C]0.0136929345797930[/C][C]135.767743042669[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]1.85481024308811[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]1.85055766212002[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]1.86328994302140[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 28 )[/C][C]1.85952941176471[/C][C]0.0135987990513919[/C][C]136.742178830444[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 28 )[/C][C]1.85976470588235[/C][C]0.0134757552503857[/C][C]138.008198525951[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 28 )[/C][C]1.85976470588235[/C][C]0.0133598928091066[/C][C]139.205061930936[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 28 )[/C][C]1.86023529411765[/C][C]0.0132863069194225[/C][C]140.011464841165[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 28 )[/C][C]1.86023529411765[/C][C]0.0131058783297873[/C][C]141.939002278822[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 28 )[/C][C]1.86023529411765[/C][C]0.0131058783297873[/C][C]141.939002278822[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 28 )[/C][C]1.86023529411765[/C][C]0.0131058783297873[/C][C]141.939002278822[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 28 )[/C][C]1.85929411764706[/C][C]0.0129638456912398[/C][C]143.421494048132[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 28 )[/C][C]1.85929411764706[/C][C]0.0129638456912398[/C][C]143.421494048132[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 28 )[/C][C]1.86047058823529[/C][C]0.0127954231601546[/C][C]145.401255194815[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 28 )[/C][C]1.86047058823529[/C][C]0.0127954231601546[/C][C]145.401255194815[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 28 )[/C][C]1.85905882352941[/C][C]0.0125898713562862[/C][C]147.663051584810[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 28 )[/C][C]1.86058823529412[/C][C]0.0123786580380456[/C][C]150.306134120164[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 28 )[/C][C]1.86223529411765[/C][C]0.0121606617358601[/C][C]153.136016326001[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 28 )[/C][C]1.86047058823529[/C][C]0.0119099161687705[/C][C]156.211896194006[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 28 )[/C][C]1.86047058823529[/C][C]0.0119099161687705[/C][C]156.211896194006[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 28 )[/C][C]1.85847058823529[/C][C]0.011635820625746[/C][C]159.719769495514[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 28 )[/C][C]1.85847058823529[/C][C]0.011635820625746[/C][C]159.719769495514[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 28 )[/C][C]1.86070588235294[/C][C]0.0113473157715084[/C][C]163.977624296394[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 28 )[/C][C]1.85835294117647[/C][C]0.0110332411652834[/C][C]168.432187182119[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 28 )[/C][C]1.85588235294118[/C][C]0.0107143900692452[/C][C]173.213999205455[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 28 )[/C][C]1.85588235294118[/C][C]0.0107143900692452[/C][C]173.213999205455[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 28 )[/C][C]1.85588235294118[/C][C]0.0100311756583240[/C][C]185.011449919246[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 28 )[/C][C]1.85588235294118[/C][C]0.0100311756583240[/C][C]185.011449919246[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 28 )[/C][C]1.85588235294118[/C][C]0.0100311756583240[/C][C]185.011449919246[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 28 )[/C][C]1.85588235294118[/C][C]0.0100311756583240[/C][C]185.011449919246[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 28 )[/C][C]1.85270588235294[/C][C]0.00964406935985854[/C][C]192.108311670222[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 28 )[/C][C]1.85270588235294[/C][C]0.00883776629208131[/C][C]209.635084377936[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 28 )[/C][C]1.85963855421687[/C][C]0.0134776463892305[/C][C]137.979473604741[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 28 )[/C][C]1.85975308641975[/C][C]0.0133344621149995[/C][C]139.469674170642[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 28 )[/C][C]1.85974683544304[/C][C]0.0132388424157256[/C][C]140.476544477481[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 28 )[/C][C]1.85974025974026[/C][C]0.0131711147868781[/C][C]141.198394352546[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 28 )[/C][C]1.8596[/C][C]0.0131099851911324[/C][C]141.846079372983[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 28 )[/C][C]1.85945205479452[/C][C]0.0130810760798319[/C][C]142.148248618581[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 28 )[/C][C]1.85929577464789[/C][C]0.0130381331193506[/C][C]142.604447862893[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 28 )[/C][C]1.85913043478261[/C][C]0.0129786681996566[/C][C]143.245085411137[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 28 )[/C][C]1.85910447761194[/C][C]0.0129287287925040[/C][C]143.796386129613[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 28 )[/C][C]1.85907692307692[/C][C]0.0128596773589055[/C][C]144.566373727058[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 28 )[/C][C]1.85888888888889[/C][C]0.0127986316615146[/C][C]145.241220940717[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 28 )[/C][C]1.85868852459016[/C][C]0.0127147679075106[/C][C]146.183441027833[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 28 )[/C][C]1.85864406779661[/C][C]0.012639537078241[/C][C]147.050011111267[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 28 )[/C][C]1.85842105263158[/C][C]0.0125725699797218[/C][C]147.815526628925[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 28 )[/C][C]1.858[/C][C]0.0125136962002676[/C][C]148.477313997783[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 28 )[/C][C]1.85773584905660[/C][C]0.0124695318355161[/C][C]148.982004582188[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 28 )[/C][C]1.85745098039216[/C][C]0.0123981122448411[/C][C]149.817241827686[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 28 )[/C][C]1.85734693877551[/C][C]0.0123400498013171[/C][C]150.513731198821[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 28 )[/C][C]1.85723404255319[/C][C]0.0122482120413910[/C][C]151.633073976589[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 28 )[/C][C]1.85688888888889[/C][C]0.0121639566189833[/C][C]152.65500749904[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 28 )[/C][C]1.85674418604651[/C][C]0.0120937686114962[/C][C]153.528998750770[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 28 )[/C][C]1.85682926829268[/C][C]0.0120387536041018[/C][C]154.237666901002[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 28 )[/C][C]1.85692307692308[/C][C]0.0119386298804164[/C][C]155.539043887196[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 28 )[/C][C]1.85702702702703[/C][C]0.0119172879247424[/C][C]155.826312056413[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 28 )[/C][C]1.85714285714286[/C][C]0.0118504081309104[/C][C]156.715518708484[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 28 )[/C][C]1.85727272727273[/C][C]0.0117201646299516[/C][C]158.468143231227[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 28 )[/C][C]1.85741935483871[/C][C]0.0115000490128500[/C][C]161.514038136989[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 28 )[/C][C]1.85793103448276[/C][C]0.0112558612027238[/C][C]165.063427935054[/C][/ROW]
[ROW][C]Median[/C][C]1.87[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]1.835[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]1.85155555555556[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]1.85155555555556[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]1.85155555555556[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]1.85155555555556[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]1.85155555555556[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]1.85155555555556[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]1.85155555555556[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]1.85155555555556[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]85[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74434&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74434&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 Mean1.859058823529410.0136929345797930135.767743042669
Geometric Mean1.85481024308811
Harmonic Mean1.85055766212002
Quadratic Mean1.86328994302140
Winsorized Mean ( 1 / 28 )1.859529411764710.0135987990513919136.742178830444
Winsorized Mean ( 2 / 28 )1.859764705882350.0134757552503857138.008198525951
Winsorized Mean ( 3 / 28 )1.859764705882350.0133598928091066139.205061930936
Winsorized Mean ( 4 / 28 )1.860235294117650.0132863069194225140.011464841165
Winsorized Mean ( 5 / 28 )1.860235294117650.0131058783297873141.939002278822
Winsorized Mean ( 6 / 28 )1.860235294117650.0131058783297873141.939002278822
Winsorized Mean ( 7 / 28 )1.860235294117650.0131058783297873141.939002278822
Winsorized Mean ( 8 / 28 )1.859294117647060.0129638456912398143.421494048132
Winsorized Mean ( 9 / 28 )1.859294117647060.0129638456912398143.421494048132
Winsorized Mean ( 10 / 28 )1.860470588235290.0127954231601546145.401255194815
Winsorized Mean ( 11 / 28 )1.860470588235290.0127954231601546145.401255194815
Winsorized Mean ( 12 / 28 )1.859058823529410.0125898713562862147.663051584810
Winsorized Mean ( 13 / 28 )1.860588235294120.0123786580380456150.306134120164
Winsorized Mean ( 14 / 28 )1.862235294117650.0121606617358601153.136016326001
Winsorized Mean ( 15 / 28 )1.860470588235290.0119099161687705156.211896194006
Winsorized Mean ( 16 / 28 )1.860470588235290.0119099161687705156.211896194006
Winsorized Mean ( 17 / 28 )1.858470588235290.011635820625746159.719769495514
Winsorized Mean ( 18 / 28 )1.858470588235290.011635820625746159.719769495514
Winsorized Mean ( 19 / 28 )1.860705882352940.0113473157715084163.977624296394
Winsorized Mean ( 20 / 28 )1.858352941176470.0110332411652834168.432187182119
Winsorized Mean ( 21 / 28 )1.855882352941180.0107143900692452173.213999205455
Winsorized Mean ( 22 / 28 )1.855882352941180.0107143900692452173.213999205455
Winsorized Mean ( 23 / 28 )1.855882352941180.0100311756583240185.011449919246
Winsorized Mean ( 24 / 28 )1.855882352941180.0100311756583240185.011449919246
Winsorized Mean ( 25 / 28 )1.855882352941180.0100311756583240185.011449919246
Winsorized Mean ( 26 / 28 )1.855882352941180.0100311756583240185.011449919246
Winsorized Mean ( 27 / 28 )1.852705882352940.00964406935985854192.108311670222
Winsorized Mean ( 28 / 28 )1.852705882352940.00883776629208131209.635084377936
Trimmed Mean ( 1 / 28 )1.859638554216870.0134776463892305137.979473604741
Trimmed Mean ( 2 / 28 )1.859753086419750.0133344621149995139.469674170642
Trimmed Mean ( 3 / 28 )1.859746835443040.0132388424157256140.476544477481
Trimmed Mean ( 4 / 28 )1.859740259740260.0131711147868781141.198394352546
Trimmed Mean ( 5 / 28 )1.85960.0131099851911324141.846079372983
Trimmed Mean ( 6 / 28 )1.859452054794520.0130810760798319142.148248618581
Trimmed Mean ( 7 / 28 )1.859295774647890.0130381331193506142.604447862893
Trimmed Mean ( 8 / 28 )1.859130434782610.0129786681996566143.245085411137
Trimmed Mean ( 9 / 28 )1.859104477611940.0129287287925040143.796386129613
Trimmed Mean ( 10 / 28 )1.859076923076920.0128596773589055144.566373727058
Trimmed Mean ( 11 / 28 )1.858888888888890.0127986316615146145.241220940717
Trimmed Mean ( 12 / 28 )1.858688524590160.0127147679075106146.183441027833
Trimmed Mean ( 13 / 28 )1.858644067796610.012639537078241147.050011111267
Trimmed Mean ( 14 / 28 )1.858421052631580.0125725699797218147.815526628925
Trimmed Mean ( 15 / 28 )1.8580.0125136962002676148.477313997783
Trimmed Mean ( 16 / 28 )1.857735849056600.0124695318355161148.982004582188
Trimmed Mean ( 17 / 28 )1.857450980392160.0123981122448411149.817241827686
Trimmed Mean ( 18 / 28 )1.857346938775510.0123400498013171150.513731198821
Trimmed Mean ( 19 / 28 )1.857234042553190.0122482120413910151.633073976589
Trimmed Mean ( 20 / 28 )1.856888888888890.0121639566189833152.65500749904
Trimmed Mean ( 21 / 28 )1.856744186046510.0120937686114962153.528998750770
Trimmed Mean ( 22 / 28 )1.856829268292680.0120387536041018154.237666901002
Trimmed Mean ( 23 / 28 )1.856923076923080.0119386298804164155.539043887196
Trimmed Mean ( 24 / 28 )1.857027027027030.0119172879247424155.826312056413
Trimmed Mean ( 25 / 28 )1.857142857142860.0118504081309104156.715518708484
Trimmed Mean ( 26 / 28 )1.857272727272730.0117201646299516158.468143231227
Trimmed Mean ( 27 / 28 )1.857419354838710.0115000490128500161.514038136989
Trimmed Mean ( 28 / 28 )1.857931034482760.0112558612027238165.063427935054
Median1.87
Midrange1.835
Midmean - Weighted Average at Xnp1.85155555555556
Midmean - Weighted Average at X(n+1)p1.85155555555556
Midmean - Empirical Distribution Function1.85155555555556
Midmean - Empirical Distribution Function - Averaging1.85155555555556
Midmean - Empirical Distribution Function - Interpolation1.85155555555556
Midmean - Closest Observation1.85155555555556
Midmean - True Basic - Statistics Graphics Toolkit1.85155555555556
Midmean - MS Excel (old versions)1.85155555555556
Number of observations85



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')