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Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationFri, 04 Mar 2016 09:47:23 +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/2016/Mar/04/t1457084869evcyl4xbwjmze5j.htm/, Retrieved Sat, 18 May 2024 14:40:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293341, Retrieved Sat, 18 May 2024 14:40:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [] [2016-03-04 09:47:23] [c9bda892eb41b28d549a884a1978c032] [Current]
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Dataseries X:
94,65
94,16
93,91
93,21
92,81
93,55
93,03
93,25
94,24
93,23
93,52
92,05
93,42
95,15
95,12
95,46
94,92
95,63
94,96
95,1
95,22
93,77
95,01
94,87
95,01
96,68
94,94
93,9
94,83
96,27
96,51
96,69
97,47
96,41
98,68
99,3
99,22
99,7
98
98,51
98,6
98,14
99,14
98,25
99,72
99,23
101,32
101,07
101,66
103,09
102,3
100,01
98,78
99,46
99,73
99,52
98,97
97,97
99,37
99,14
99,89
100,29
99,57
101,11
101,44
100,81
101,26
99,86
100,57
100,35
101,15
101,33
102,09
101,79
102,83
102,5
102,22
102,43
102,89
102,12
103,25
103,36
103,5
103,68




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293341&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293341&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293341&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'George Udny Yule' @ yule.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean98.19190476190480.358021010650808274.262967370021
Geometric Mean98.13755257952
Harmonic Mean98.0830446581048
Quadratic Mean98.2460636434283
Winsorized Mean ( 1 / 28 )98.19880952380950.355870140953249275.940007950006
Winsorized Mean ( 2 / 28 )98.20071428571430.354340303453595277.136733610589
Winsorized Mean ( 3 / 28 )98.20321428571430.352543262023584278.556491824668
Winsorized Mean ( 4 / 28 )98.19654761904760.351084031195712279.695283447136
Winsorized Mean ( 5 / 28 )98.18583333333330.348914561802934281.403656029663
Winsorized Mean ( 6 / 28 )98.19369047619050.346177088475324283.65161573421
Winsorized Mean ( 7 / 28 )98.17452380952380.340474231586066288.34641421228
Winsorized Mean ( 8 / 28 )98.17071428571430.338989495354684289.598101507537
Winsorized Mean ( 9 / 28 )98.18035714285720.333081091297676294.764127138976
Winsorized Mean ( 10 / 28 )98.18630952380950.329220108870898298.239101677452
Winsorized Mean ( 11 / 28 )98.17452380952380.327096416276724300.139405154681
Winsorized Mean ( 12 / 28 )98.20595238095240.320954593057303305.980828769192
Winsorized Mean ( 13 / 28 )98.17190476190480.312450408053111314.199956958345
Winsorized Mean ( 14 / 28 )98.21857142857140.299344816344307328.111816426446
Winsorized Mean ( 15 / 28 )98.21142857142860.289411095272873339.349216998158
Winsorized Mean ( 16 / 28 )98.19809523809520.285547278594946343.894348148879
Winsorized Mean ( 17 / 28 )98.20619047619050.283863644548848345.962550548775
Winsorized Mean ( 18 / 28 )98.19761904761910.281574063970884348.745256089258
Winsorized Mean ( 19 / 28 )98.17726190476190.2777082959231353.526572112013
Winsorized Mean ( 20 / 28 )98.17964285714290.274824433939571357.244956169839
Winsorized Mean ( 21 / 28 )98.16964285714290.273543367298737358.881459369957
Winsorized Mean ( 22 / 28 )98.12511904761910.261700740372293374.951629514029
Winsorized Mean ( 23 / 28 )98.0648809523810.252951112792992387.683137146877
Winsorized Mean ( 24 / 28 )98.01059523809520.244368374005924401.077249201319
Winsorized Mean ( 25 / 28 )98.01357142857140.23938171236076409.444691751808
Winsorized Mean ( 26 / 28 )98.00119047619050.219213139650843447.05892462598
Winsorized Mean ( 27 / 28 )98.01726190476190.207378755209343472.648520846873
Winsorized Mean ( 28 / 28 )98.22059523809520.177294348571233553.997327211096
Trimmed Mean ( 1 / 28 )98.19987804878050.352608232048991278.495704646897
Trimmed Mean ( 2 / 28 )98.2010.348748830586488281.580872500292
Trimmed Mean ( 3 / 28 )98.20115384615380.345110028484463284.550275972565
Trimmed Mean ( 4 / 28 )98.20039473684210.341543885895522287.519111868633
Trimmed Mean ( 5 / 28 )98.20148648648650.337769469942652290.735235790137
Trimmed Mean ( 6 / 28 )98.20513888888890.333862314602472294.148619336751
Trimmed Mean ( 7 / 28 )98.20742857142860.329852510218561297.731336063976
Trimmed Mean ( 8 / 28 )98.21323529411770.326310583748934300.980845198952
Trimmed Mean ( 9 / 28 )98.220.322283012779669304.763192924316
Trimmed Mean ( 10 / 28 )98.225781250.318546877755462308.355812312827
Trimmed Mean ( 11 / 28 )98.23112903225810.314663503282771312.178336564133
Trimmed Mean ( 12 / 28 )98.23833333333330.310216360315113316.676829144485
Trimmed Mean ( 13 / 28 )98.24224137931030.305821718257125321.240237414111
Trimmed Mean ( 14 / 28 )98.25035714285710.301829805432009325.515755484226
Trimmed Mean ( 15 / 28 )98.25388888888890.299080166441269328.52024277639
Trimmed Mean ( 16 / 28 )98.25846153846150.297125162749671330.697207295246
Trimmed Mean ( 17 / 28 )98.26480.294998753369901333.102424594944
Trimmed Mean ( 18 / 28 )98.27083333333330.292250504815666336.255478481779
Trimmed Mean ( 19 / 28 )98.27826086956520.288803680096828340.294350946688
Trimmed Mean ( 20 / 28 )98.28840909090910.284734389634944345.19331934904
Trimmed Mean ( 21 / 28 )98.29928571428570.279659946330449351.495761206127
Trimmed Mean ( 22 / 28 )98.312250.272892974113503360.259366586366
Trimmed Mean ( 23 / 28 )98.33105263157890.266160944869418369.442078287712
Trimmed Mean ( 24 / 28 )98.35805555555560.25858799105559380.365906220336
Trimmed Mean ( 25 / 28 )98.39382352941180.249688581333043394.066172366012
Trimmed Mean ( 26 / 28 )98.433750.238084488764646413.440415672375
Trimmed Mean ( 27 / 28 )98.48033333333330.227019409435705433.796976118133
Trimmed Mean ( 28 / 28 )98.53178571428570.214094039054288460.226665578956
Median98.875
Midrange97.865
Midmean - Weighted Average at Xnp98.2227906976744
Midmean - Weighted Average at X(n+1)p98.2227906976744
Midmean - Empirical Distribution Function98.2227906976744
Midmean - Empirical Distribution Function - Averaging98.2227906976744
Midmean - Empirical Distribution Function - Interpolation98.2227906976744
Midmean - Closest Observation98.2227906976744
Midmean - True Basic - Statistics Graphics Toolkit98.2227906976744
Midmean - MS Excel (old versions)98.2884090909091
Number of observations84

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 98.1919047619048 & 0.358021010650808 & 274.262967370021 \tabularnewline
Geometric Mean & 98.13755257952 &  &  \tabularnewline
Harmonic Mean & 98.0830446581048 &  &  \tabularnewline
Quadratic Mean & 98.2460636434283 &  &  \tabularnewline
Winsorized Mean ( 1 / 28 ) & 98.1988095238095 & 0.355870140953249 & 275.940007950006 \tabularnewline
Winsorized Mean ( 2 / 28 ) & 98.2007142857143 & 0.354340303453595 & 277.136733610589 \tabularnewline
Winsorized Mean ( 3 / 28 ) & 98.2032142857143 & 0.352543262023584 & 278.556491824668 \tabularnewline
Winsorized Mean ( 4 / 28 ) & 98.1965476190476 & 0.351084031195712 & 279.695283447136 \tabularnewline
Winsorized Mean ( 5 / 28 ) & 98.1858333333333 & 0.348914561802934 & 281.403656029663 \tabularnewline
Winsorized Mean ( 6 / 28 ) & 98.1936904761905 & 0.346177088475324 & 283.65161573421 \tabularnewline
Winsorized Mean ( 7 / 28 ) & 98.1745238095238 & 0.340474231586066 & 288.34641421228 \tabularnewline
Winsorized Mean ( 8 / 28 ) & 98.1707142857143 & 0.338989495354684 & 289.598101507537 \tabularnewline
Winsorized Mean ( 9 / 28 ) & 98.1803571428572 & 0.333081091297676 & 294.764127138976 \tabularnewline
Winsorized Mean ( 10 / 28 ) & 98.1863095238095 & 0.329220108870898 & 298.239101677452 \tabularnewline
Winsorized Mean ( 11 / 28 ) & 98.1745238095238 & 0.327096416276724 & 300.139405154681 \tabularnewline
Winsorized Mean ( 12 / 28 ) & 98.2059523809524 & 0.320954593057303 & 305.980828769192 \tabularnewline
Winsorized Mean ( 13 / 28 ) & 98.1719047619048 & 0.312450408053111 & 314.199956958345 \tabularnewline
Winsorized Mean ( 14 / 28 ) & 98.2185714285714 & 0.299344816344307 & 328.111816426446 \tabularnewline
Winsorized Mean ( 15 / 28 ) & 98.2114285714286 & 0.289411095272873 & 339.349216998158 \tabularnewline
Winsorized Mean ( 16 / 28 ) & 98.1980952380952 & 0.285547278594946 & 343.894348148879 \tabularnewline
Winsorized Mean ( 17 / 28 ) & 98.2061904761905 & 0.283863644548848 & 345.962550548775 \tabularnewline
Winsorized Mean ( 18 / 28 ) & 98.1976190476191 & 0.281574063970884 & 348.745256089258 \tabularnewline
Winsorized Mean ( 19 / 28 ) & 98.1772619047619 & 0.2777082959231 & 353.526572112013 \tabularnewline
Winsorized Mean ( 20 / 28 ) & 98.1796428571429 & 0.274824433939571 & 357.244956169839 \tabularnewline
Winsorized Mean ( 21 / 28 ) & 98.1696428571429 & 0.273543367298737 & 358.881459369957 \tabularnewline
Winsorized Mean ( 22 / 28 ) & 98.1251190476191 & 0.261700740372293 & 374.951629514029 \tabularnewline
Winsorized Mean ( 23 / 28 ) & 98.064880952381 & 0.252951112792992 & 387.683137146877 \tabularnewline
Winsorized Mean ( 24 / 28 ) & 98.0105952380952 & 0.244368374005924 & 401.077249201319 \tabularnewline
Winsorized Mean ( 25 / 28 ) & 98.0135714285714 & 0.23938171236076 & 409.444691751808 \tabularnewline
Winsorized Mean ( 26 / 28 ) & 98.0011904761905 & 0.219213139650843 & 447.05892462598 \tabularnewline
Winsorized Mean ( 27 / 28 ) & 98.0172619047619 & 0.207378755209343 & 472.648520846873 \tabularnewline
Winsorized Mean ( 28 / 28 ) & 98.2205952380952 & 0.177294348571233 & 553.997327211096 \tabularnewline
Trimmed Mean ( 1 / 28 ) & 98.1998780487805 & 0.352608232048991 & 278.495704646897 \tabularnewline
Trimmed Mean ( 2 / 28 ) & 98.201 & 0.348748830586488 & 281.580872500292 \tabularnewline
Trimmed Mean ( 3 / 28 ) & 98.2011538461538 & 0.345110028484463 & 284.550275972565 \tabularnewline
Trimmed Mean ( 4 / 28 ) & 98.2003947368421 & 0.341543885895522 & 287.519111868633 \tabularnewline
Trimmed Mean ( 5 / 28 ) & 98.2014864864865 & 0.337769469942652 & 290.735235790137 \tabularnewline
Trimmed Mean ( 6 / 28 ) & 98.2051388888889 & 0.333862314602472 & 294.148619336751 \tabularnewline
Trimmed Mean ( 7 / 28 ) & 98.2074285714286 & 0.329852510218561 & 297.731336063976 \tabularnewline
Trimmed Mean ( 8 / 28 ) & 98.2132352941177 & 0.326310583748934 & 300.980845198952 \tabularnewline
Trimmed Mean ( 9 / 28 ) & 98.22 & 0.322283012779669 & 304.763192924316 \tabularnewline
Trimmed Mean ( 10 / 28 ) & 98.22578125 & 0.318546877755462 & 308.355812312827 \tabularnewline
Trimmed Mean ( 11 / 28 ) & 98.2311290322581 & 0.314663503282771 & 312.178336564133 \tabularnewline
Trimmed Mean ( 12 / 28 ) & 98.2383333333333 & 0.310216360315113 & 316.676829144485 \tabularnewline
Trimmed Mean ( 13 / 28 ) & 98.2422413793103 & 0.305821718257125 & 321.240237414111 \tabularnewline
Trimmed Mean ( 14 / 28 ) & 98.2503571428571 & 0.301829805432009 & 325.515755484226 \tabularnewline
Trimmed Mean ( 15 / 28 ) & 98.2538888888889 & 0.299080166441269 & 328.52024277639 \tabularnewline
Trimmed Mean ( 16 / 28 ) & 98.2584615384615 & 0.297125162749671 & 330.697207295246 \tabularnewline
Trimmed Mean ( 17 / 28 ) & 98.2648 & 0.294998753369901 & 333.102424594944 \tabularnewline
Trimmed Mean ( 18 / 28 ) & 98.2708333333333 & 0.292250504815666 & 336.255478481779 \tabularnewline
Trimmed Mean ( 19 / 28 ) & 98.2782608695652 & 0.288803680096828 & 340.294350946688 \tabularnewline
Trimmed Mean ( 20 / 28 ) & 98.2884090909091 & 0.284734389634944 & 345.19331934904 \tabularnewline
Trimmed Mean ( 21 / 28 ) & 98.2992857142857 & 0.279659946330449 & 351.495761206127 \tabularnewline
Trimmed Mean ( 22 / 28 ) & 98.31225 & 0.272892974113503 & 360.259366586366 \tabularnewline
Trimmed Mean ( 23 / 28 ) & 98.3310526315789 & 0.266160944869418 & 369.442078287712 \tabularnewline
Trimmed Mean ( 24 / 28 ) & 98.3580555555556 & 0.25858799105559 & 380.365906220336 \tabularnewline
Trimmed Mean ( 25 / 28 ) & 98.3938235294118 & 0.249688581333043 & 394.066172366012 \tabularnewline
Trimmed Mean ( 26 / 28 ) & 98.43375 & 0.238084488764646 & 413.440415672375 \tabularnewline
Trimmed Mean ( 27 / 28 ) & 98.4803333333333 & 0.227019409435705 & 433.796976118133 \tabularnewline
Trimmed Mean ( 28 / 28 ) & 98.5317857142857 & 0.214094039054288 & 460.226665578956 \tabularnewline
Median & 98.875 &  &  \tabularnewline
Midrange & 97.865 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 98.2227906976744 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 98.2227906976744 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 98.2227906976744 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 98.2227906976744 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 98.2227906976744 &  &  \tabularnewline
Midmean - Closest Observation & 98.2227906976744 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 98.2227906976744 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 98.2884090909091 &  &  \tabularnewline
Number of observations & 84 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293341&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]98.1919047619048[/C][C]0.358021010650808[/C][C]274.262967370021[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]98.13755257952[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]98.0830446581048[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]98.2460636434283[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 28 )[/C][C]98.1988095238095[/C][C]0.355870140953249[/C][C]275.940007950006[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 28 )[/C][C]98.2007142857143[/C][C]0.354340303453595[/C][C]277.136733610589[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 28 )[/C][C]98.2032142857143[/C][C]0.352543262023584[/C][C]278.556491824668[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 28 )[/C][C]98.1965476190476[/C][C]0.351084031195712[/C][C]279.695283447136[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 28 )[/C][C]98.1858333333333[/C][C]0.348914561802934[/C][C]281.403656029663[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 28 )[/C][C]98.1936904761905[/C][C]0.346177088475324[/C][C]283.65161573421[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 28 )[/C][C]98.1745238095238[/C][C]0.340474231586066[/C][C]288.34641421228[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 28 )[/C][C]98.1707142857143[/C][C]0.338989495354684[/C][C]289.598101507537[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 28 )[/C][C]98.1803571428572[/C][C]0.333081091297676[/C][C]294.764127138976[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 28 )[/C][C]98.1863095238095[/C][C]0.329220108870898[/C][C]298.239101677452[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 28 )[/C][C]98.1745238095238[/C][C]0.327096416276724[/C][C]300.139405154681[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 28 )[/C][C]98.2059523809524[/C][C]0.320954593057303[/C][C]305.980828769192[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 28 )[/C][C]98.1719047619048[/C][C]0.312450408053111[/C][C]314.199956958345[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 28 )[/C][C]98.2185714285714[/C][C]0.299344816344307[/C][C]328.111816426446[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 28 )[/C][C]98.2114285714286[/C][C]0.289411095272873[/C][C]339.349216998158[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 28 )[/C][C]98.1980952380952[/C][C]0.285547278594946[/C][C]343.894348148879[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 28 )[/C][C]98.2061904761905[/C][C]0.283863644548848[/C][C]345.962550548775[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 28 )[/C][C]98.1976190476191[/C][C]0.281574063970884[/C][C]348.745256089258[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 28 )[/C][C]98.1772619047619[/C][C]0.2777082959231[/C][C]353.526572112013[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 28 )[/C][C]98.1796428571429[/C][C]0.274824433939571[/C][C]357.244956169839[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 28 )[/C][C]98.1696428571429[/C][C]0.273543367298737[/C][C]358.881459369957[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 28 )[/C][C]98.1251190476191[/C][C]0.261700740372293[/C][C]374.951629514029[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 28 )[/C][C]98.064880952381[/C][C]0.252951112792992[/C][C]387.683137146877[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 28 )[/C][C]98.0105952380952[/C][C]0.244368374005924[/C][C]401.077249201319[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 28 )[/C][C]98.0135714285714[/C][C]0.23938171236076[/C][C]409.444691751808[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 28 )[/C][C]98.0011904761905[/C][C]0.219213139650843[/C][C]447.05892462598[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 28 )[/C][C]98.0172619047619[/C][C]0.207378755209343[/C][C]472.648520846873[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 28 )[/C][C]98.2205952380952[/C][C]0.177294348571233[/C][C]553.997327211096[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 28 )[/C][C]98.1998780487805[/C][C]0.352608232048991[/C][C]278.495704646897[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 28 )[/C][C]98.201[/C][C]0.348748830586488[/C][C]281.580872500292[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 28 )[/C][C]98.2011538461538[/C][C]0.345110028484463[/C][C]284.550275972565[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 28 )[/C][C]98.2003947368421[/C][C]0.341543885895522[/C][C]287.519111868633[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 28 )[/C][C]98.2014864864865[/C][C]0.337769469942652[/C][C]290.735235790137[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 28 )[/C][C]98.2051388888889[/C][C]0.333862314602472[/C][C]294.148619336751[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 28 )[/C][C]98.2074285714286[/C][C]0.329852510218561[/C][C]297.731336063976[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 28 )[/C][C]98.2132352941177[/C][C]0.326310583748934[/C][C]300.980845198952[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 28 )[/C][C]98.22[/C][C]0.322283012779669[/C][C]304.763192924316[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 28 )[/C][C]98.22578125[/C][C]0.318546877755462[/C][C]308.355812312827[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 28 )[/C][C]98.2311290322581[/C][C]0.314663503282771[/C][C]312.178336564133[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 28 )[/C][C]98.2383333333333[/C][C]0.310216360315113[/C][C]316.676829144485[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 28 )[/C][C]98.2422413793103[/C][C]0.305821718257125[/C][C]321.240237414111[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 28 )[/C][C]98.2503571428571[/C][C]0.301829805432009[/C][C]325.515755484226[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 28 )[/C][C]98.2538888888889[/C][C]0.299080166441269[/C][C]328.52024277639[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 28 )[/C][C]98.2584615384615[/C][C]0.297125162749671[/C][C]330.697207295246[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 28 )[/C][C]98.2648[/C][C]0.294998753369901[/C][C]333.102424594944[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 28 )[/C][C]98.2708333333333[/C][C]0.292250504815666[/C][C]336.255478481779[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 28 )[/C][C]98.2782608695652[/C][C]0.288803680096828[/C][C]340.294350946688[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 28 )[/C][C]98.2884090909091[/C][C]0.284734389634944[/C][C]345.19331934904[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 28 )[/C][C]98.2992857142857[/C][C]0.279659946330449[/C][C]351.495761206127[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 28 )[/C][C]98.31225[/C][C]0.272892974113503[/C][C]360.259366586366[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 28 )[/C][C]98.3310526315789[/C][C]0.266160944869418[/C][C]369.442078287712[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 28 )[/C][C]98.3580555555556[/C][C]0.25858799105559[/C][C]380.365906220336[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 28 )[/C][C]98.3938235294118[/C][C]0.249688581333043[/C][C]394.066172366012[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 28 )[/C][C]98.43375[/C][C]0.238084488764646[/C][C]413.440415672375[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 28 )[/C][C]98.4803333333333[/C][C]0.227019409435705[/C][C]433.796976118133[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 28 )[/C][C]98.5317857142857[/C][C]0.214094039054288[/C][C]460.226665578956[/C][/ROW]
[ROW][C]Median[/C][C]98.875[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]97.865[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]98.2227906976744[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]98.2227906976744[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]98.2227906976744[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]98.2227906976744[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]98.2227906976744[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]98.2227906976744[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]98.2227906976744[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]98.2884090909091[/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=293341&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293341&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 Mean98.19190476190480.358021010650808274.262967370021
Geometric Mean98.13755257952
Harmonic Mean98.0830446581048
Quadratic Mean98.2460636434283
Winsorized Mean ( 1 / 28 )98.19880952380950.355870140953249275.940007950006
Winsorized Mean ( 2 / 28 )98.20071428571430.354340303453595277.136733610589
Winsorized Mean ( 3 / 28 )98.20321428571430.352543262023584278.556491824668
Winsorized Mean ( 4 / 28 )98.19654761904760.351084031195712279.695283447136
Winsorized Mean ( 5 / 28 )98.18583333333330.348914561802934281.403656029663
Winsorized Mean ( 6 / 28 )98.19369047619050.346177088475324283.65161573421
Winsorized Mean ( 7 / 28 )98.17452380952380.340474231586066288.34641421228
Winsorized Mean ( 8 / 28 )98.17071428571430.338989495354684289.598101507537
Winsorized Mean ( 9 / 28 )98.18035714285720.333081091297676294.764127138976
Winsorized Mean ( 10 / 28 )98.18630952380950.329220108870898298.239101677452
Winsorized Mean ( 11 / 28 )98.17452380952380.327096416276724300.139405154681
Winsorized Mean ( 12 / 28 )98.20595238095240.320954593057303305.980828769192
Winsorized Mean ( 13 / 28 )98.17190476190480.312450408053111314.199956958345
Winsorized Mean ( 14 / 28 )98.21857142857140.299344816344307328.111816426446
Winsorized Mean ( 15 / 28 )98.21142857142860.289411095272873339.349216998158
Winsorized Mean ( 16 / 28 )98.19809523809520.285547278594946343.894348148879
Winsorized Mean ( 17 / 28 )98.20619047619050.283863644548848345.962550548775
Winsorized Mean ( 18 / 28 )98.19761904761910.281574063970884348.745256089258
Winsorized Mean ( 19 / 28 )98.17726190476190.2777082959231353.526572112013
Winsorized Mean ( 20 / 28 )98.17964285714290.274824433939571357.244956169839
Winsorized Mean ( 21 / 28 )98.16964285714290.273543367298737358.881459369957
Winsorized Mean ( 22 / 28 )98.12511904761910.261700740372293374.951629514029
Winsorized Mean ( 23 / 28 )98.0648809523810.252951112792992387.683137146877
Winsorized Mean ( 24 / 28 )98.01059523809520.244368374005924401.077249201319
Winsorized Mean ( 25 / 28 )98.01357142857140.23938171236076409.444691751808
Winsorized Mean ( 26 / 28 )98.00119047619050.219213139650843447.05892462598
Winsorized Mean ( 27 / 28 )98.01726190476190.207378755209343472.648520846873
Winsorized Mean ( 28 / 28 )98.22059523809520.177294348571233553.997327211096
Trimmed Mean ( 1 / 28 )98.19987804878050.352608232048991278.495704646897
Trimmed Mean ( 2 / 28 )98.2010.348748830586488281.580872500292
Trimmed Mean ( 3 / 28 )98.20115384615380.345110028484463284.550275972565
Trimmed Mean ( 4 / 28 )98.20039473684210.341543885895522287.519111868633
Trimmed Mean ( 5 / 28 )98.20148648648650.337769469942652290.735235790137
Trimmed Mean ( 6 / 28 )98.20513888888890.333862314602472294.148619336751
Trimmed Mean ( 7 / 28 )98.20742857142860.329852510218561297.731336063976
Trimmed Mean ( 8 / 28 )98.21323529411770.326310583748934300.980845198952
Trimmed Mean ( 9 / 28 )98.220.322283012779669304.763192924316
Trimmed Mean ( 10 / 28 )98.225781250.318546877755462308.355812312827
Trimmed Mean ( 11 / 28 )98.23112903225810.314663503282771312.178336564133
Trimmed Mean ( 12 / 28 )98.23833333333330.310216360315113316.676829144485
Trimmed Mean ( 13 / 28 )98.24224137931030.305821718257125321.240237414111
Trimmed Mean ( 14 / 28 )98.25035714285710.301829805432009325.515755484226
Trimmed Mean ( 15 / 28 )98.25388888888890.299080166441269328.52024277639
Trimmed Mean ( 16 / 28 )98.25846153846150.297125162749671330.697207295246
Trimmed Mean ( 17 / 28 )98.26480.294998753369901333.102424594944
Trimmed Mean ( 18 / 28 )98.27083333333330.292250504815666336.255478481779
Trimmed Mean ( 19 / 28 )98.27826086956520.288803680096828340.294350946688
Trimmed Mean ( 20 / 28 )98.28840909090910.284734389634944345.19331934904
Trimmed Mean ( 21 / 28 )98.29928571428570.279659946330449351.495761206127
Trimmed Mean ( 22 / 28 )98.312250.272892974113503360.259366586366
Trimmed Mean ( 23 / 28 )98.33105263157890.266160944869418369.442078287712
Trimmed Mean ( 24 / 28 )98.35805555555560.25858799105559380.365906220336
Trimmed Mean ( 25 / 28 )98.39382352941180.249688581333043394.066172366012
Trimmed Mean ( 26 / 28 )98.433750.238084488764646413.440415672375
Trimmed Mean ( 27 / 28 )98.48033333333330.227019409435705433.796976118133
Trimmed Mean ( 28 / 28 )98.53178571428570.214094039054288460.226665578956
Median98.875
Midrange97.865
Midmean - Weighted Average at Xnp98.2227906976744
Midmean - Weighted Average at X(n+1)p98.2227906976744
Midmean - Empirical Distribution Function98.2227906976744
Midmean - Empirical Distribution Function - Averaging98.2227906976744
Midmean - Empirical Distribution Function - Interpolation98.2227906976744
Midmean - Closest Observation98.2227906976744
Midmean - True Basic - Statistics Graphics Toolkit98.2227906976744
Midmean - MS Excel (old versions)98.2884090909091
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')