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Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationTue, 05 Mar 2013 14:20:07 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Mar/05/t13625112871r79igklwr9r5es.htm/, Retrieved Sat, 04 May 2024 07:25:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207475, Retrieved Sat, 04 May 2024 07:25:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact59
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [] [2013-03-05 19:20:07] [4c761713f35dbef288fd2ff7b731829c] [Current]
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Dataseries X:
31956
29506
34506
27165
26736
23691
18157
17328
18205
20995
17382
9367
31124
26551
30651
25859
25100
25778
20418
18688
20424
24776
19814
12738
31566
30111
30019
31934
25826
26835
20205
17789
20520
22518
15572
11509
25447
24090
27786
26195
20516
22759
19028
16971
20036
22485
18730
14538
27561
25985
34670
32066
27186
29586
21359
21553
19573
24256
22380
16167
27297
28287
33474
28229
28785
25597
18130
20198
22849
23118
21925
20801
18785
20659
29367
23992
20645
22356
17902
15879
16963
21035
17988
10437




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207475&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207475&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207475&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 Maurice George Kendall' @ kendall.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean23058.8095238095610.95168218765637.7424437907136
Geometric Mean22330.0783486858
Harmonic Mean21521.5174985855
Quadratic Mean23721.0758433648
Winsorized Mean ( 1 / 28 )23069.5952380952607.19007216884237.994025751594
Winsorized Mean ( 2 / 28 )23070.5476190476595.62924979740338.7330669655575
Winsorized Mean ( 3 / 28 )23064.1547619048575.71051775737840.0620694785095
Winsorized Mean ( 4 / 28 )23144.630952381557.46433571461441.517689060255
Winsorized Mean ( 5 / 28 )23204.869047619546.30352614569542.4761473009978
Winsorized Mean ( 6 / 28 )23200.5119047619537.66422046520743.150559441519
Winsorized Mean ( 7 / 28 )23187.6785714286526.97375399112744.0015814750027
Winsorized Mean ( 8 / 28 )23218.4404761905507.18242774918145.77926837732
Winsorized Mean ( 9 / 28 )23161.4404761905497.07150866344646.59579169699
Winsorized Mean ( 10 / 28 )23192.9880952381488.96763649480347.4325627387092
Winsorized Mean ( 11 / 28 )23143.3571428571478.57515461253248.3588772208509
Winsorized Mean ( 12 / 28 )23190.0714285714468.46338260851649.5024206576052
Winsorized Mean ( 13 / 28 )23186.0476190476462.56637423735250.1248013482935
Winsorized Mean ( 14 / 28 )23103.380952381445.31817639588951.8806152027398
Winsorized Mean ( 15 / 28 )23039.8095238095428.41109476156153.7796751893942
Winsorized Mean ( 16 / 28 )23033.9047619048426.07481977016954.0607041137272
Winsorized Mean ( 17 / 28 )22953.9642857143411.80342338115955.7401006947639
Winsorized Mean ( 18 / 28 )23009.25390.92277663317558.8588114465147
Winsorized Mean ( 19 / 28 )22959.0357142857381.37418904926760.2008116268189
Winsorized Mean ( 20 / 28 )22945.7023809524376.02011860846761.0225390754816
Winsorized Mean ( 21 / 28 )23001.2023809524367.29567785147862.6231229169358
Winsorized Mean ( 22 / 28 )23057.5119047619337.35958490583868.3469891961054
Winsorized Mean ( 23 / 28 )23096.3928571429325.5905147724270.9369339990959
Winsorized Mean ( 24 / 28 )23106.9642857143310.87433491269374.3289544703127
Winsorized Mean ( 25 / 28 )23049.2261904762291.1881876528879.1557733720736
Winsorized Mean ( 26 / 28 )22986.3928571429282.54496949531381.354811937376
Winsorized Mean ( 27 / 28 )23014.3571428571269.34083582205785.4469656359936
Winsorized Mean ( 28 / 28 )23005.3571428571267.71047914377685.9337192045515
Trimmed Mean ( 1 / 28 )23084.1829268293585.89824365713939.3996452058625
Trimmed Mean ( 2 / 28 )23099.5561.08172479482441.169581861621
Trimmed Mean ( 3 / 28 )23115.0897435897539.42585169711142.8512828424266
Trimmed Mean ( 4 / 28 )23133.8552631579523.11446357502444.223314157782
Trimmed Mean ( 5 / 28 )23130.7972972973510.5474285302745.3058736656156
Trimmed Mean ( 6 / 28 )23113.5138888889499.10421909184546.3099949965271
Trimmed Mean ( 7 / 28 )23096.1142857143487.86961676015947.3407514882578
Trimmed Mean ( 8 / 28 )23079.9558823529477.11997156566748.3734851983164
Trimmed Mean ( 9 / 28 )23057.9242424242468.68703744881149.196846509634
Trimmed Mean ( 10 / 28 )23042.828125460.64423731376650.0230465475345
Trimmed Mean ( 11 / 28 )23022.4838709677452.44816675173450.8842461143192
Trimmed Mean ( 12 / 28 )23007.1444.45794301299751.7644028229848
Trimmed Mean ( 13 / 28 )22985.0172413793436.46866443549852.6613228262486
Trimmed Mean ( 14 / 28 )22961.8214285714427.62265052076553.6964573803754
Trimmed Mean ( 15 / 28 )22946.0925925926419.87262075294354.6501282971111
Trimmed Mean ( 16 / 28 )22936413.21737292261655.5058947250393
Trimmed Mean ( 17 / 28 )22925.72405.05243101281156.5993887326525
Trimmed Mean ( 18 / 28 )22922.8125397.27427983530657.7002178683776
Trimmed Mean ( 19 / 28 )22914.0434782609391.08879597196858.5903859028047
Trimmed Mean ( 20 / 28 )22909.5227272727384.62111513522159.5638716278446
Trimmed Mean ( 21 / 28 )22905.9047619048376.8793415753960.7778199414062
Trimmed Mean ( 22 / 28 )22896.375368.12747876924462.1968647288955
Trimmed Mean ( 23 / 28 )22880.1842105263362.58150769584463.1035607853438
Trimmed Mean ( 24 / 28 )22858.25356.96489617772664.0350080491369
Trimmed Mean ( 25 / 28 )22832.6470588235351.88615249526364.8864608536446
Trimmed Mean ( 26 / 28 )22809.90625348.76950274805765.4010917533616
Trimmed Mean ( 27 / 28 )22790.9345.39574287388465.9848897104726
Trimmed Mean ( 28 / 28 )22766.0714285714342.58644654453166.4535087660339
Median22501.5
Midrange22018.5
Midmean - Weighted Average at Xnp22810.0697674419
Midmean - Weighted Average at X(n+1)p22905.9047619048
Midmean - Empirical Distribution Function22810.0697674419
Midmean - Empirical Distribution Function - Averaging22905.9047619048
Midmean - Empirical Distribution Function - Interpolation22905.9047619048
Midmean - Closest Observation22810.0697674419
Midmean - True Basic - Statistics Graphics Toolkit22905.9047619048
Midmean - MS Excel (old versions)22909.5227272727
Number of observations84

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 23058.8095238095 & 610.951682187656 & 37.7424437907136 \tabularnewline
Geometric Mean & 22330.0783486858 &  &  \tabularnewline
Harmonic Mean & 21521.5174985855 &  &  \tabularnewline
Quadratic Mean & 23721.0758433648 &  &  \tabularnewline
Winsorized Mean ( 1 / 28 ) & 23069.5952380952 & 607.190072168842 & 37.994025751594 \tabularnewline
Winsorized Mean ( 2 / 28 ) & 23070.5476190476 & 595.629249797403 & 38.7330669655575 \tabularnewline
Winsorized Mean ( 3 / 28 ) & 23064.1547619048 & 575.710517757378 & 40.0620694785095 \tabularnewline
Winsorized Mean ( 4 / 28 ) & 23144.630952381 & 557.464335714614 & 41.517689060255 \tabularnewline
Winsorized Mean ( 5 / 28 ) & 23204.869047619 & 546.303526145695 & 42.4761473009978 \tabularnewline
Winsorized Mean ( 6 / 28 ) & 23200.5119047619 & 537.664220465207 & 43.150559441519 \tabularnewline
Winsorized Mean ( 7 / 28 ) & 23187.6785714286 & 526.973753991127 & 44.0015814750027 \tabularnewline
Winsorized Mean ( 8 / 28 ) & 23218.4404761905 & 507.182427749181 & 45.77926837732 \tabularnewline
Winsorized Mean ( 9 / 28 ) & 23161.4404761905 & 497.071508663446 & 46.59579169699 \tabularnewline
Winsorized Mean ( 10 / 28 ) & 23192.9880952381 & 488.967636494803 & 47.4325627387092 \tabularnewline
Winsorized Mean ( 11 / 28 ) & 23143.3571428571 & 478.575154612532 & 48.3588772208509 \tabularnewline
Winsorized Mean ( 12 / 28 ) & 23190.0714285714 & 468.463382608516 & 49.5024206576052 \tabularnewline
Winsorized Mean ( 13 / 28 ) & 23186.0476190476 & 462.566374237352 & 50.1248013482935 \tabularnewline
Winsorized Mean ( 14 / 28 ) & 23103.380952381 & 445.318176395889 & 51.8806152027398 \tabularnewline
Winsorized Mean ( 15 / 28 ) & 23039.8095238095 & 428.411094761561 & 53.7796751893942 \tabularnewline
Winsorized Mean ( 16 / 28 ) & 23033.9047619048 & 426.074819770169 & 54.0607041137272 \tabularnewline
Winsorized Mean ( 17 / 28 ) & 22953.9642857143 & 411.803423381159 & 55.7401006947639 \tabularnewline
Winsorized Mean ( 18 / 28 ) & 23009.25 & 390.922776633175 & 58.8588114465147 \tabularnewline
Winsorized Mean ( 19 / 28 ) & 22959.0357142857 & 381.374189049267 & 60.2008116268189 \tabularnewline
Winsorized Mean ( 20 / 28 ) & 22945.7023809524 & 376.020118608467 & 61.0225390754816 \tabularnewline
Winsorized Mean ( 21 / 28 ) & 23001.2023809524 & 367.295677851478 & 62.6231229169358 \tabularnewline
Winsorized Mean ( 22 / 28 ) & 23057.5119047619 & 337.359584905838 & 68.3469891961054 \tabularnewline
Winsorized Mean ( 23 / 28 ) & 23096.3928571429 & 325.59051477242 & 70.9369339990959 \tabularnewline
Winsorized Mean ( 24 / 28 ) & 23106.9642857143 & 310.874334912693 & 74.3289544703127 \tabularnewline
Winsorized Mean ( 25 / 28 ) & 23049.2261904762 & 291.18818765288 & 79.1557733720736 \tabularnewline
Winsorized Mean ( 26 / 28 ) & 22986.3928571429 & 282.544969495313 & 81.354811937376 \tabularnewline
Winsorized Mean ( 27 / 28 ) & 23014.3571428571 & 269.340835822057 & 85.4469656359936 \tabularnewline
Winsorized Mean ( 28 / 28 ) & 23005.3571428571 & 267.710479143776 & 85.9337192045515 \tabularnewline
Trimmed Mean ( 1 / 28 ) & 23084.1829268293 & 585.898243657139 & 39.3996452058625 \tabularnewline
Trimmed Mean ( 2 / 28 ) & 23099.5 & 561.081724794824 & 41.169581861621 \tabularnewline
Trimmed Mean ( 3 / 28 ) & 23115.0897435897 & 539.425851697111 & 42.8512828424266 \tabularnewline
Trimmed Mean ( 4 / 28 ) & 23133.8552631579 & 523.114463575024 & 44.223314157782 \tabularnewline
Trimmed Mean ( 5 / 28 ) & 23130.7972972973 & 510.54742853027 & 45.3058736656156 \tabularnewline
Trimmed Mean ( 6 / 28 ) & 23113.5138888889 & 499.104219091845 & 46.3099949965271 \tabularnewline
Trimmed Mean ( 7 / 28 ) & 23096.1142857143 & 487.869616760159 & 47.3407514882578 \tabularnewline
Trimmed Mean ( 8 / 28 ) & 23079.9558823529 & 477.119971565667 & 48.3734851983164 \tabularnewline
Trimmed Mean ( 9 / 28 ) & 23057.9242424242 & 468.687037448811 & 49.196846509634 \tabularnewline
Trimmed Mean ( 10 / 28 ) & 23042.828125 & 460.644237313766 & 50.0230465475345 \tabularnewline
Trimmed Mean ( 11 / 28 ) & 23022.4838709677 & 452.448166751734 & 50.8842461143192 \tabularnewline
Trimmed Mean ( 12 / 28 ) & 23007.1 & 444.457943012997 & 51.7644028229848 \tabularnewline
Trimmed Mean ( 13 / 28 ) & 22985.0172413793 & 436.468664435498 & 52.6613228262486 \tabularnewline
Trimmed Mean ( 14 / 28 ) & 22961.8214285714 & 427.622650520765 & 53.6964573803754 \tabularnewline
Trimmed Mean ( 15 / 28 ) & 22946.0925925926 & 419.872620752943 & 54.6501282971111 \tabularnewline
Trimmed Mean ( 16 / 28 ) & 22936 & 413.217372922616 & 55.5058947250393 \tabularnewline
Trimmed Mean ( 17 / 28 ) & 22925.72 & 405.052431012811 & 56.5993887326525 \tabularnewline
Trimmed Mean ( 18 / 28 ) & 22922.8125 & 397.274279835306 & 57.7002178683776 \tabularnewline
Trimmed Mean ( 19 / 28 ) & 22914.0434782609 & 391.088795971968 & 58.5903859028047 \tabularnewline
Trimmed Mean ( 20 / 28 ) & 22909.5227272727 & 384.621115135221 & 59.5638716278446 \tabularnewline
Trimmed Mean ( 21 / 28 ) & 22905.9047619048 & 376.87934157539 & 60.7778199414062 \tabularnewline
Trimmed Mean ( 22 / 28 ) & 22896.375 & 368.127478769244 & 62.1968647288955 \tabularnewline
Trimmed Mean ( 23 / 28 ) & 22880.1842105263 & 362.581507695844 & 63.1035607853438 \tabularnewline
Trimmed Mean ( 24 / 28 ) & 22858.25 & 356.964896177726 & 64.0350080491369 \tabularnewline
Trimmed Mean ( 25 / 28 ) & 22832.6470588235 & 351.886152495263 & 64.8864608536446 \tabularnewline
Trimmed Mean ( 26 / 28 ) & 22809.90625 & 348.769502748057 & 65.4010917533616 \tabularnewline
Trimmed Mean ( 27 / 28 ) & 22790.9 & 345.395742873884 & 65.9848897104726 \tabularnewline
Trimmed Mean ( 28 / 28 ) & 22766.0714285714 & 342.586446544531 & 66.4535087660339 \tabularnewline
Median & 22501.5 &  &  \tabularnewline
Midrange & 22018.5 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 22810.0697674419 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 22905.9047619048 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 22810.0697674419 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 22905.9047619048 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 22905.9047619048 &  &  \tabularnewline
Midmean - Closest Observation & 22810.0697674419 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 22905.9047619048 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 22909.5227272727 &  &  \tabularnewline
Number of observations & 84 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207475&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]23058.8095238095[/C][C]610.951682187656[/C][C]37.7424437907136[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]22330.0783486858[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]21521.5174985855[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]23721.0758433648[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 28 )[/C][C]23069.5952380952[/C][C]607.190072168842[/C][C]37.994025751594[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 28 )[/C][C]23070.5476190476[/C][C]595.629249797403[/C][C]38.7330669655575[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 28 )[/C][C]23064.1547619048[/C][C]575.710517757378[/C][C]40.0620694785095[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 28 )[/C][C]23144.630952381[/C][C]557.464335714614[/C][C]41.517689060255[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 28 )[/C][C]23204.869047619[/C][C]546.303526145695[/C][C]42.4761473009978[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 28 )[/C][C]23200.5119047619[/C][C]537.664220465207[/C][C]43.150559441519[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 28 )[/C][C]23187.6785714286[/C][C]526.973753991127[/C][C]44.0015814750027[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 28 )[/C][C]23218.4404761905[/C][C]507.182427749181[/C][C]45.77926837732[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 28 )[/C][C]23161.4404761905[/C][C]497.071508663446[/C][C]46.59579169699[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 28 )[/C][C]23192.9880952381[/C][C]488.967636494803[/C][C]47.4325627387092[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 28 )[/C][C]23143.3571428571[/C][C]478.575154612532[/C][C]48.3588772208509[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 28 )[/C][C]23190.0714285714[/C][C]468.463382608516[/C][C]49.5024206576052[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 28 )[/C][C]23186.0476190476[/C][C]462.566374237352[/C][C]50.1248013482935[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 28 )[/C][C]23103.380952381[/C][C]445.318176395889[/C][C]51.8806152027398[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 28 )[/C][C]23039.8095238095[/C][C]428.411094761561[/C][C]53.7796751893942[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 28 )[/C][C]23033.9047619048[/C][C]426.074819770169[/C][C]54.0607041137272[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 28 )[/C][C]22953.9642857143[/C][C]411.803423381159[/C][C]55.7401006947639[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 28 )[/C][C]23009.25[/C][C]390.922776633175[/C][C]58.8588114465147[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 28 )[/C][C]22959.0357142857[/C][C]381.374189049267[/C][C]60.2008116268189[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 28 )[/C][C]22945.7023809524[/C][C]376.020118608467[/C][C]61.0225390754816[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 28 )[/C][C]23001.2023809524[/C][C]367.295677851478[/C][C]62.6231229169358[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 28 )[/C][C]23057.5119047619[/C][C]337.359584905838[/C][C]68.3469891961054[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 28 )[/C][C]23096.3928571429[/C][C]325.59051477242[/C][C]70.9369339990959[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 28 )[/C][C]23106.9642857143[/C][C]310.874334912693[/C][C]74.3289544703127[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 28 )[/C][C]23049.2261904762[/C][C]291.18818765288[/C][C]79.1557733720736[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 28 )[/C][C]22986.3928571429[/C][C]282.544969495313[/C][C]81.354811937376[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 28 )[/C][C]23014.3571428571[/C][C]269.340835822057[/C][C]85.4469656359936[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 28 )[/C][C]23005.3571428571[/C][C]267.710479143776[/C][C]85.9337192045515[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 28 )[/C][C]23084.1829268293[/C][C]585.898243657139[/C][C]39.3996452058625[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 28 )[/C][C]23099.5[/C][C]561.081724794824[/C][C]41.169581861621[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 28 )[/C][C]23115.0897435897[/C][C]539.425851697111[/C][C]42.8512828424266[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 28 )[/C][C]23133.8552631579[/C][C]523.114463575024[/C][C]44.223314157782[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 28 )[/C][C]23130.7972972973[/C][C]510.54742853027[/C][C]45.3058736656156[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 28 )[/C][C]23113.5138888889[/C][C]499.104219091845[/C][C]46.3099949965271[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 28 )[/C][C]23096.1142857143[/C][C]487.869616760159[/C][C]47.3407514882578[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 28 )[/C][C]23079.9558823529[/C][C]477.119971565667[/C][C]48.3734851983164[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 28 )[/C][C]23057.9242424242[/C][C]468.687037448811[/C][C]49.196846509634[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 28 )[/C][C]23042.828125[/C][C]460.644237313766[/C][C]50.0230465475345[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 28 )[/C][C]23022.4838709677[/C][C]452.448166751734[/C][C]50.8842461143192[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 28 )[/C][C]23007.1[/C][C]444.457943012997[/C][C]51.7644028229848[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 28 )[/C][C]22985.0172413793[/C][C]436.468664435498[/C][C]52.6613228262486[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 28 )[/C][C]22961.8214285714[/C][C]427.622650520765[/C][C]53.6964573803754[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 28 )[/C][C]22946.0925925926[/C][C]419.872620752943[/C][C]54.6501282971111[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 28 )[/C][C]22936[/C][C]413.217372922616[/C][C]55.5058947250393[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 28 )[/C][C]22925.72[/C][C]405.052431012811[/C][C]56.5993887326525[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 28 )[/C][C]22922.8125[/C][C]397.274279835306[/C][C]57.7002178683776[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 28 )[/C][C]22914.0434782609[/C][C]391.088795971968[/C][C]58.5903859028047[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 28 )[/C][C]22909.5227272727[/C][C]384.621115135221[/C][C]59.5638716278446[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 28 )[/C][C]22905.9047619048[/C][C]376.87934157539[/C][C]60.7778199414062[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 28 )[/C][C]22896.375[/C][C]368.127478769244[/C][C]62.1968647288955[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 28 )[/C][C]22880.1842105263[/C][C]362.581507695844[/C][C]63.1035607853438[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 28 )[/C][C]22858.25[/C][C]356.964896177726[/C][C]64.0350080491369[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 28 )[/C][C]22832.6470588235[/C][C]351.886152495263[/C][C]64.8864608536446[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 28 )[/C][C]22809.90625[/C][C]348.769502748057[/C][C]65.4010917533616[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 28 )[/C][C]22790.9[/C][C]345.395742873884[/C][C]65.9848897104726[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 28 )[/C][C]22766.0714285714[/C][C]342.586446544531[/C][C]66.4535087660339[/C][/ROW]
[ROW][C]Median[/C][C]22501.5[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]22018.5[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]22810.0697674419[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]22905.9047619048[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]22810.0697674419[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]22905.9047619048[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]22905.9047619048[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]22810.0697674419[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]22905.9047619048[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]22909.5227272727[/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=207475&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207475&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 Mean23058.8095238095610.95168218765637.7424437907136
Geometric Mean22330.0783486858
Harmonic Mean21521.5174985855
Quadratic Mean23721.0758433648
Winsorized Mean ( 1 / 28 )23069.5952380952607.19007216884237.994025751594
Winsorized Mean ( 2 / 28 )23070.5476190476595.62924979740338.7330669655575
Winsorized Mean ( 3 / 28 )23064.1547619048575.71051775737840.0620694785095
Winsorized Mean ( 4 / 28 )23144.630952381557.46433571461441.517689060255
Winsorized Mean ( 5 / 28 )23204.869047619546.30352614569542.4761473009978
Winsorized Mean ( 6 / 28 )23200.5119047619537.66422046520743.150559441519
Winsorized Mean ( 7 / 28 )23187.6785714286526.97375399112744.0015814750027
Winsorized Mean ( 8 / 28 )23218.4404761905507.18242774918145.77926837732
Winsorized Mean ( 9 / 28 )23161.4404761905497.07150866344646.59579169699
Winsorized Mean ( 10 / 28 )23192.9880952381488.96763649480347.4325627387092
Winsorized Mean ( 11 / 28 )23143.3571428571478.57515461253248.3588772208509
Winsorized Mean ( 12 / 28 )23190.0714285714468.46338260851649.5024206576052
Winsorized Mean ( 13 / 28 )23186.0476190476462.56637423735250.1248013482935
Winsorized Mean ( 14 / 28 )23103.380952381445.31817639588951.8806152027398
Winsorized Mean ( 15 / 28 )23039.8095238095428.41109476156153.7796751893942
Winsorized Mean ( 16 / 28 )23033.9047619048426.07481977016954.0607041137272
Winsorized Mean ( 17 / 28 )22953.9642857143411.80342338115955.7401006947639
Winsorized Mean ( 18 / 28 )23009.25390.92277663317558.8588114465147
Winsorized Mean ( 19 / 28 )22959.0357142857381.37418904926760.2008116268189
Winsorized Mean ( 20 / 28 )22945.7023809524376.02011860846761.0225390754816
Winsorized Mean ( 21 / 28 )23001.2023809524367.29567785147862.6231229169358
Winsorized Mean ( 22 / 28 )23057.5119047619337.35958490583868.3469891961054
Winsorized Mean ( 23 / 28 )23096.3928571429325.5905147724270.9369339990959
Winsorized Mean ( 24 / 28 )23106.9642857143310.87433491269374.3289544703127
Winsorized Mean ( 25 / 28 )23049.2261904762291.1881876528879.1557733720736
Winsorized Mean ( 26 / 28 )22986.3928571429282.54496949531381.354811937376
Winsorized Mean ( 27 / 28 )23014.3571428571269.34083582205785.4469656359936
Winsorized Mean ( 28 / 28 )23005.3571428571267.71047914377685.9337192045515
Trimmed Mean ( 1 / 28 )23084.1829268293585.89824365713939.3996452058625
Trimmed Mean ( 2 / 28 )23099.5561.08172479482441.169581861621
Trimmed Mean ( 3 / 28 )23115.0897435897539.42585169711142.8512828424266
Trimmed Mean ( 4 / 28 )23133.8552631579523.11446357502444.223314157782
Trimmed Mean ( 5 / 28 )23130.7972972973510.5474285302745.3058736656156
Trimmed Mean ( 6 / 28 )23113.5138888889499.10421909184546.3099949965271
Trimmed Mean ( 7 / 28 )23096.1142857143487.86961676015947.3407514882578
Trimmed Mean ( 8 / 28 )23079.9558823529477.11997156566748.3734851983164
Trimmed Mean ( 9 / 28 )23057.9242424242468.68703744881149.196846509634
Trimmed Mean ( 10 / 28 )23042.828125460.64423731376650.0230465475345
Trimmed Mean ( 11 / 28 )23022.4838709677452.44816675173450.8842461143192
Trimmed Mean ( 12 / 28 )23007.1444.45794301299751.7644028229848
Trimmed Mean ( 13 / 28 )22985.0172413793436.46866443549852.6613228262486
Trimmed Mean ( 14 / 28 )22961.8214285714427.62265052076553.6964573803754
Trimmed Mean ( 15 / 28 )22946.0925925926419.87262075294354.6501282971111
Trimmed Mean ( 16 / 28 )22936413.21737292261655.5058947250393
Trimmed Mean ( 17 / 28 )22925.72405.05243101281156.5993887326525
Trimmed Mean ( 18 / 28 )22922.8125397.27427983530657.7002178683776
Trimmed Mean ( 19 / 28 )22914.0434782609391.08879597196858.5903859028047
Trimmed Mean ( 20 / 28 )22909.5227272727384.62111513522159.5638716278446
Trimmed Mean ( 21 / 28 )22905.9047619048376.8793415753960.7778199414062
Trimmed Mean ( 22 / 28 )22896.375368.12747876924462.1968647288955
Trimmed Mean ( 23 / 28 )22880.1842105263362.58150769584463.1035607853438
Trimmed Mean ( 24 / 28 )22858.25356.96489617772664.0350080491369
Trimmed Mean ( 25 / 28 )22832.6470588235351.88615249526364.8864608536446
Trimmed Mean ( 26 / 28 )22809.90625348.76950274805765.4010917533616
Trimmed Mean ( 27 / 28 )22790.9345.39574287388465.9848897104726
Trimmed Mean ( 28 / 28 )22766.0714285714342.58644654453166.4535087660339
Median22501.5
Midrange22018.5
Midmean - Weighted Average at Xnp22810.0697674419
Midmean - Weighted Average at X(n+1)p22905.9047619048
Midmean - Empirical Distribution Function22810.0697674419
Midmean - Empirical Distribution Function - Averaging22905.9047619048
Midmean - Empirical Distribution Function - Interpolation22905.9047619048
Midmean - Closest Observation22810.0697674419
Midmean - True Basic - Statistics Graphics Toolkit22905.9047619048
Midmean - MS Excel (old versions)22909.5227272727
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')