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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationWed, 20 Oct 2010 17:26:03 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/20/t1287595549thgnji2aata7rmy.htm/, Retrieved Sat, 04 May 2024 04:46:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=87245, Retrieved Sat, 04 May 2024 04:46:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W52
Estimated Impact96
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [Opdracht 2 ] [2010-10-20 17:26:03] [8926b0113c2f0aa20b2cf07d29df363f] [Current]
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Dataseries X:
110,04
111,73
110,99
115,83
125,33
123,03
123,46
130,34
131,21
132,97
133,91
133,14
135,31
133,09
135,39
131,85
130,25
127,65
118,3
119,73
122,51
123,28
133,52
153,2
163,63
168,45
166,26
162,31
161,56
156,59
157,97
158,68
163,55
162,89
164,95
159,82
159,05
166,76
164,55
163,22
160,68
155,24
157,6
156,56
154,82
151,11
149,65
148,99
148,53
146,7
145,11
142,7
143,59
140,96
140,77
139,81
140,58
139,59
138,05
136,06
135,98
134,75
132,22
135,37
138,84
138,83
136,55
135,63
139,14
136,09
135,97
134,51
134,54
134,08
132,86
134,48
129,08
133,13
134,78
134,13
132,43
127,84
128,12
128,94




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=87245&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]1 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=87245&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=87245&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean140.4963095238101.5872124698818888.5176447323812
Geometric Mean139.755979275036
Harmonic Mean139.01977600502
Quadratic Mean141.238486943353
Winsorized Mean ( 1 / 28 )140.48751.5804840492818788.8889072077846
Winsorized Mean ( 2 / 28 )140.4932142857141.5741976816182489.247504253272
Winsorized Mean ( 3 / 28 )140.5928571428571.5347356913567991.6072115443966
Winsorized Mean ( 4 / 28 )140.6914285714291.5091475914402193.2257582819744
Winsorized Mean ( 5 / 28 )140.7217857142861.4839743098086194.8276427591488
Winsorized Mean ( 6 / 28 )140.9146428571431.4507898361853897.1296044006317
Winsorized Mean ( 7 / 28 )140.9304761904761.4390802337748997.9309373326584
Winsorized Mean ( 8 / 28 )140.9228571428571.4296845032630798.5691995829979
Winsorized Mean ( 9 / 28 )140.881.4154005816924099.5336598149118
Winsorized Mean ( 10 / 28 )141.0133333333331.36726546080622103.135299892812
Winsorized Mean ( 11 / 28 )141.2019047619051.30645805846390108.079937084185
Winsorized Mean ( 12 / 28 )141.1061904761901.2812223203258110.134040156519
Winsorized Mean ( 13 / 28 )141.0303571428571.25503958796822112.371241907334
Winsorized Mean ( 14 / 28 )141.1053571428571.22775790976102114.929300003714
Winsorized Mean ( 15 / 28 )141.0035714285711.20306731289134117.203393291184
Winsorized Mean ( 16 / 28 )141.1559523809521.16520552038453121.142536583906
Winsorized Mean ( 17 / 28 )140.9697619047621.12872181549802124.893273053789
Winsorized Mean ( 18 / 28 )141.1497619047621.10698137891744127.508704837292
Winsorized Mean ( 19 / 28 )140.9959523809521.04184751548695135.332618531084
Winsorized Mean ( 20 / 28 )140.9840476190481.01617196073693138.740344219698
Winsorized Mean ( 21 / 28 )140.6315476190480.945004462192739148.815749814274
Winsorized Mean ( 22 / 28 )140.1967857142860.84681149394306165.558435043765
Winsorized Mean ( 23 / 28 )139.8271428571430.782346228769817178.727956645245
Winsorized Mean ( 24 / 28 )139.6728571428570.750352442938573186.143003141114
Winsorized Mean ( 25 / 28 )139.5478571428570.728683907655187191.506709118779
Winsorized Mean ( 26 / 28 )138.9845238095240.645423146916868215.338610760152
Winsorized Mean ( 27 / 28 )138.5955952380950.559357377347909247.776467873224
Winsorized Mean ( 28 / 28 )138.2189285714290.475003276790858290.985210681580
Trimmed Mean ( 1 / 28 )140.5268292682931.5450230523850990.954519449634
Trimmed Mean ( 2 / 28 )140.5681251.5039164703540693.4680401278581
Trimmed Mean ( 3 / 28 )140.6084615384621.4600072310720496.3066884505885
Trimmed Mean ( 4 / 28 )140.6142105263161.4263209483948998.5852522775858
Trimmed Mean ( 5 / 28 )140.5922972972971.39584389376489100.722077823538
Trimmed Mean ( 6 / 28 )140.5620833333331.36745602901702102.790934663087
Trimmed Mean ( 7 / 28 )140.4915714285711.34244629513030104.653401732495
Trimmed Mean ( 8 / 28 )140.4141176470591.31535028292163106.750361078856
Trimmed Mean ( 9 / 28 )140.3331818181821.28496516889459109.211662086456
Trimmed Mean ( 10 / 28 )140.25343751.25151489986370112.066933853744
Trimmed Mean ( 11 / 28 )140.1504838709681.22095485055231114.787605624867
Trimmed Mean ( 12 / 28 )140.0166666666671.19546531769030117.123152461826
Trimmed Mean ( 13 / 28 )139.8851724137931.16898051356718119.664246572366
Trimmed Mean ( 14 / 28 )139.7530357142861.14117340839539122.464328984666
Trimmed Mean ( 15 / 28 )139.6027777777781.11131677603925125.619248073735
Trimmed Mean ( 16 / 28 )139.4519230769231.07861679056069129.287736198166
Trimmed Mean ( 17 / 28 )139.2731.04388318409716133.418185216247
Trimmed Mean ( 18 / 28 )139.0983333333331.00720020148076138.103957017517
Trimmed Mean ( 19 / 28 )138.8902173913040.962955469201342144.233271250328
Trimmed Mean ( 20 / 28 )138.6786363636360.919781007975864150.773537571538
Trimmed Mean ( 21 / 28 )138.4480952380950.867578581130348159.579890801032
Trimmed Mean ( 22 / 28 )138.229750.816651032359506169.264158768795
Trimmed Mean ( 23 / 28 )138.0321052631580.774860163394501178.138084500909
Trimmed Mean ( 24 / 28 )137.850.735915259959508187.317762655968
Trimmed Mean ( 25 / 28 )137.6623529411760.690155767741971199.465627001243
Trimmed Mean ( 26 / 28 )137.4643750.630638427396294217.976528273969
Trimmed Mean ( 27 / 28 )137.3006666666670.577073658784419237.925721572329
Trimmed Mean ( 28 / 28 )137.1567857142860.531872267946385257.875422314953
Median136.02
Midrange139.245
Midmean - Weighted Average at Xnp138.303255813953
Midmean - Weighted Average at X(n+1)p138.448095238095
Midmean - Empirical Distribution Function138.303255813953
Midmean - Empirical Distribution Function - Averaging138.448095238095
Midmean - Empirical Distribution Function - Interpolation138.448095238095
Midmean - Closest Observation138.303255813953
Midmean - True Basic - Statistics Graphics Toolkit138.448095238095
Midmean - MS Excel (old versions)138.678636363636
Number of observations84

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 140.496309523810 & 1.58721246988188 & 88.5176447323812 \tabularnewline
Geometric Mean & 139.755979275036 &  &  \tabularnewline
Harmonic Mean & 139.01977600502 &  &  \tabularnewline
Quadratic Mean & 141.238486943353 &  &  \tabularnewline
Winsorized Mean ( 1 / 28 ) & 140.4875 & 1.58048404928187 & 88.8889072077846 \tabularnewline
Winsorized Mean ( 2 / 28 ) & 140.493214285714 & 1.57419768161824 & 89.247504253272 \tabularnewline
Winsorized Mean ( 3 / 28 ) & 140.592857142857 & 1.53473569135679 & 91.6072115443966 \tabularnewline
Winsorized Mean ( 4 / 28 ) & 140.691428571429 & 1.50914759144021 & 93.2257582819744 \tabularnewline
Winsorized Mean ( 5 / 28 ) & 140.721785714286 & 1.48397430980861 & 94.8276427591488 \tabularnewline
Winsorized Mean ( 6 / 28 ) & 140.914642857143 & 1.45078983618538 & 97.1296044006317 \tabularnewline
Winsorized Mean ( 7 / 28 ) & 140.930476190476 & 1.43908023377489 & 97.9309373326584 \tabularnewline
Winsorized Mean ( 8 / 28 ) & 140.922857142857 & 1.42968450326307 & 98.5691995829979 \tabularnewline
Winsorized Mean ( 9 / 28 ) & 140.88 & 1.41540058169240 & 99.5336598149118 \tabularnewline
Winsorized Mean ( 10 / 28 ) & 141.013333333333 & 1.36726546080622 & 103.135299892812 \tabularnewline
Winsorized Mean ( 11 / 28 ) & 141.201904761905 & 1.30645805846390 & 108.079937084185 \tabularnewline
Winsorized Mean ( 12 / 28 ) & 141.106190476190 & 1.2812223203258 & 110.134040156519 \tabularnewline
Winsorized Mean ( 13 / 28 ) & 141.030357142857 & 1.25503958796822 & 112.371241907334 \tabularnewline
Winsorized Mean ( 14 / 28 ) & 141.105357142857 & 1.22775790976102 & 114.929300003714 \tabularnewline
Winsorized Mean ( 15 / 28 ) & 141.003571428571 & 1.20306731289134 & 117.203393291184 \tabularnewline
Winsorized Mean ( 16 / 28 ) & 141.155952380952 & 1.16520552038453 & 121.142536583906 \tabularnewline
Winsorized Mean ( 17 / 28 ) & 140.969761904762 & 1.12872181549802 & 124.893273053789 \tabularnewline
Winsorized Mean ( 18 / 28 ) & 141.149761904762 & 1.10698137891744 & 127.508704837292 \tabularnewline
Winsorized Mean ( 19 / 28 ) & 140.995952380952 & 1.04184751548695 & 135.332618531084 \tabularnewline
Winsorized Mean ( 20 / 28 ) & 140.984047619048 & 1.01617196073693 & 138.740344219698 \tabularnewline
Winsorized Mean ( 21 / 28 ) & 140.631547619048 & 0.945004462192739 & 148.815749814274 \tabularnewline
Winsorized Mean ( 22 / 28 ) & 140.196785714286 & 0.84681149394306 & 165.558435043765 \tabularnewline
Winsorized Mean ( 23 / 28 ) & 139.827142857143 & 0.782346228769817 & 178.727956645245 \tabularnewline
Winsorized Mean ( 24 / 28 ) & 139.672857142857 & 0.750352442938573 & 186.143003141114 \tabularnewline
Winsorized Mean ( 25 / 28 ) & 139.547857142857 & 0.728683907655187 & 191.506709118779 \tabularnewline
Winsorized Mean ( 26 / 28 ) & 138.984523809524 & 0.645423146916868 & 215.338610760152 \tabularnewline
Winsorized Mean ( 27 / 28 ) & 138.595595238095 & 0.559357377347909 & 247.776467873224 \tabularnewline
Winsorized Mean ( 28 / 28 ) & 138.218928571429 & 0.475003276790858 & 290.985210681580 \tabularnewline
Trimmed Mean ( 1 / 28 ) & 140.526829268293 & 1.54502305238509 & 90.954519449634 \tabularnewline
Trimmed Mean ( 2 / 28 ) & 140.568125 & 1.50391647035406 & 93.4680401278581 \tabularnewline
Trimmed Mean ( 3 / 28 ) & 140.608461538462 & 1.46000723107204 & 96.3066884505885 \tabularnewline
Trimmed Mean ( 4 / 28 ) & 140.614210526316 & 1.42632094839489 & 98.5852522775858 \tabularnewline
Trimmed Mean ( 5 / 28 ) & 140.592297297297 & 1.39584389376489 & 100.722077823538 \tabularnewline
Trimmed Mean ( 6 / 28 ) & 140.562083333333 & 1.36745602901702 & 102.790934663087 \tabularnewline
Trimmed Mean ( 7 / 28 ) & 140.491571428571 & 1.34244629513030 & 104.653401732495 \tabularnewline
Trimmed Mean ( 8 / 28 ) & 140.414117647059 & 1.31535028292163 & 106.750361078856 \tabularnewline
Trimmed Mean ( 9 / 28 ) & 140.333181818182 & 1.28496516889459 & 109.211662086456 \tabularnewline
Trimmed Mean ( 10 / 28 ) & 140.2534375 & 1.25151489986370 & 112.066933853744 \tabularnewline
Trimmed Mean ( 11 / 28 ) & 140.150483870968 & 1.22095485055231 & 114.787605624867 \tabularnewline
Trimmed Mean ( 12 / 28 ) & 140.016666666667 & 1.19546531769030 & 117.123152461826 \tabularnewline
Trimmed Mean ( 13 / 28 ) & 139.885172413793 & 1.16898051356718 & 119.664246572366 \tabularnewline
Trimmed Mean ( 14 / 28 ) & 139.753035714286 & 1.14117340839539 & 122.464328984666 \tabularnewline
Trimmed Mean ( 15 / 28 ) & 139.602777777778 & 1.11131677603925 & 125.619248073735 \tabularnewline
Trimmed Mean ( 16 / 28 ) & 139.451923076923 & 1.07861679056069 & 129.287736198166 \tabularnewline
Trimmed Mean ( 17 / 28 ) & 139.273 & 1.04388318409716 & 133.418185216247 \tabularnewline
Trimmed Mean ( 18 / 28 ) & 139.098333333333 & 1.00720020148076 & 138.103957017517 \tabularnewline
Trimmed Mean ( 19 / 28 ) & 138.890217391304 & 0.962955469201342 & 144.233271250328 \tabularnewline
Trimmed Mean ( 20 / 28 ) & 138.678636363636 & 0.919781007975864 & 150.773537571538 \tabularnewline
Trimmed Mean ( 21 / 28 ) & 138.448095238095 & 0.867578581130348 & 159.579890801032 \tabularnewline
Trimmed Mean ( 22 / 28 ) & 138.22975 & 0.816651032359506 & 169.264158768795 \tabularnewline
Trimmed Mean ( 23 / 28 ) & 138.032105263158 & 0.774860163394501 & 178.138084500909 \tabularnewline
Trimmed Mean ( 24 / 28 ) & 137.85 & 0.735915259959508 & 187.317762655968 \tabularnewline
Trimmed Mean ( 25 / 28 ) & 137.662352941176 & 0.690155767741971 & 199.465627001243 \tabularnewline
Trimmed Mean ( 26 / 28 ) & 137.464375 & 0.630638427396294 & 217.976528273969 \tabularnewline
Trimmed Mean ( 27 / 28 ) & 137.300666666667 & 0.577073658784419 & 237.925721572329 \tabularnewline
Trimmed Mean ( 28 / 28 ) & 137.156785714286 & 0.531872267946385 & 257.875422314953 \tabularnewline
Median & 136.02 &  &  \tabularnewline
Midrange & 139.245 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 138.303255813953 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 138.448095238095 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 138.303255813953 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 138.448095238095 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 138.448095238095 &  &  \tabularnewline
Midmean - Closest Observation & 138.303255813953 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 138.448095238095 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 138.678636363636 &  &  \tabularnewline
Number of observations & 84 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=87245&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]140.496309523810[/C][C]1.58721246988188[/C][C]88.5176447323812[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]139.755979275036[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]139.01977600502[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]141.238486943353[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 28 )[/C][C]140.4875[/C][C]1.58048404928187[/C][C]88.8889072077846[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 28 )[/C][C]140.493214285714[/C][C]1.57419768161824[/C][C]89.247504253272[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 28 )[/C][C]140.592857142857[/C][C]1.53473569135679[/C][C]91.6072115443966[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 28 )[/C][C]140.691428571429[/C][C]1.50914759144021[/C][C]93.2257582819744[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 28 )[/C][C]140.721785714286[/C][C]1.48397430980861[/C][C]94.8276427591488[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 28 )[/C][C]140.914642857143[/C][C]1.45078983618538[/C][C]97.1296044006317[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 28 )[/C][C]140.930476190476[/C][C]1.43908023377489[/C][C]97.9309373326584[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 28 )[/C][C]140.922857142857[/C][C]1.42968450326307[/C][C]98.5691995829979[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 28 )[/C][C]140.88[/C][C]1.41540058169240[/C][C]99.5336598149118[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 28 )[/C][C]141.013333333333[/C][C]1.36726546080622[/C][C]103.135299892812[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 28 )[/C][C]141.201904761905[/C][C]1.30645805846390[/C][C]108.079937084185[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 28 )[/C][C]141.106190476190[/C][C]1.2812223203258[/C][C]110.134040156519[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 28 )[/C][C]141.030357142857[/C][C]1.25503958796822[/C][C]112.371241907334[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 28 )[/C][C]141.105357142857[/C][C]1.22775790976102[/C][C]114.929300003714[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 28 )[/C][C]141.003571428571[/C][C]1.20306731289134[/C][C]117.203393291184[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 28 )[/C][C]141.155952380952[/C][C]1.16520552038453[/C][C]121.142536583906[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 28 )[/C][C]140.969761904762[/C][C]1.12872181549802[/C][C]124.893273053789[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 28 )[/C][C]141.149761904762[/C][C]1.10698137891744[/C][C]127.508704837292[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 28 )[/C][C]140.995952380952[/C][C]1.04184751548695[/C][C]135.332618531084[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 28 )[/C][C]140.984047619048[/C][C]1.01617196073693[/C][C]138.740344219698[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 28 )[/C][C]140.631547619048[/C][C]0.945004462192739[/C][C]148.815749814274[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 28 )[/C][C]140.196785714286[/C][C]0.84681149394306[/C][C]165.558435043765[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 28 )[/C][C]139.827142857143[/C][C]0.782346228769817[/C][C]178.727956645245[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 28 )[/C][C]139.672857142857[/C][C]0.750352442938573[/C][C]186.143003141114[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 28 )[/C][C]139.547857142857[/C][C]0.728683907655187[/C][C]191.506709118779[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 28 )[/C][C]138.984523809524[/C][C]0.645423146916868[/C][C]215.338610760152[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 28 )[/C][C]138.595595238095[/C][C]0.559357377347909[/C][C]247.776467873224[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 28 )[/C][C]138.218928571429[/C][C]0.475003276790858[/C][C]290.985210681580[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 28 )[/C][C]140.526829268293[/C][C]1.54502305238509[/C][C]90.954519449634[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 28 )[/C][C]140.568125[/C][C]1.50391647035406[/C][C]93.4680401278581[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 28 )[/C][C]140.608461538462[/C][C]1.46000723107204[/C][C]96.3066884505885[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 28 )[/C][C]140.614210526316[/C][C]1.42632094839489[/C][C]98.5852522775858[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 28 )[/C][C]140.592297297297[/C][C]1.39584389376489[/C][C]100.722077823538[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 28 )[/C][C]140.562083333333[/C][C]1.36745602901702[/C][C]102.790934663087[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 28 )[/C][C]140.491571428571[/C][C]1.34244629513030[/C][C]104.653401732495[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 28 )[/C][C]140.414117647059[/C][C]1.31535028292163[/C][C]106.750361078856[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 28 )[/C][C]140.333181818182[/C][C]1.28496516889459[/C][C]109.211662086456[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 28 )[/C][C]140.2534375[/C][C]1.25151489986370[/C][C]112.066933853744[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 28 )[/C][C]140.150483870968[/C][C]1.22095485055231[/C][C]114.787605624867[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 28 )[/C][C]140.016666666667[/C][C]1.19546531769030[/C][C]117.123152461826[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 28 )[/C][C]139.885172413793[/C][C]1.16898051356718[/C][C]119.664246572366[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 28 )[/C][C]139.753035714286[/C][C]1.14117340839539[/C][C]122.464328984666[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 28 )[/C][C]139.602777777778[/C][C]1.11131677603925[/C][C]125.619248073735[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 28 )[/C][C]139.451923076923[/C][C]1.07861679056069[/C][C]129.287736198166[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 28 )[/C][C]139.273[/C][C]1.04388318409716[/C][C]133.418185216247[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 28 )[/C][C]139.098333333333[/C][C]1.00720020148076[/C][C]138.103957017517[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 28 )[/C][C]138.890217391304[/C][C]0.962955469201342[/C][C]144.233271250328[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 28 )[/C][C]138.678636363636[/C][C]0.919781007975864[/C][C]150.773537571538[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 28 )[/C][C]138.448095238095[/C][C]0.867578581130348[/C][C]159.579890801032[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 28 )[/C][C]138.22975[/C][C]0.816651032359506[/C][C]169.264158768795[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 28 )[/C][C]138.032105263158[/C][C]0.774860163394501[/C][C]178.138084500909[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 28 )[/C][C]137.85[/C][C]0.735915259959508[/C][C]187.317762655968[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 28 )[/C][C]137.662352941176[/C][C]0.690155767741971[/C][C]199.465627001243[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 28 )[/C][C]137.464375[/C][C]0.630638427396294[/C][C]217.976528273969[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 28 )[/C][C]137.300666666667[/C][C]0.577073658784419[/C][C]237.925721572329[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 28 )[/C][C]137.156785714286[/C][C]0.531872267946385[/C][C]257.875422314953[/C][/ROW]
[ROW][C]Median[/C][C]136.02[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]139.245[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]138.303255813953[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]138.448095238095[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]138.303255813953[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]138.448095238095[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]138.448095238095[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]138.303255813953[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]138.448095238095[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]138.678636363636[/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=87245&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=87245&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 Mean140.4963095238101.5872124698818888.5176447323812
Geometric Mean139.755979275036
Harmonic Mean139.01977600502
Quadratic Mean141.238486943353
Winsorized Mean ( 1 / 28 )140.48751.5804840492818788.8889072077846
Winsorized Mean ( 2 / 28 )140.4932142857141.5741976816182489.247504253272
Winsorized Mean ( 3 / 28 )140.5928571428571.5347356913567991.6072115443966
Winsorized Mean ( 4 / 28 )140.6914285714291.5091475914402193.2257582819744
Winsorized Mean ( 5 / 28 )140.7217857142861.4839743098086194.8276427591488
Winsorized Mean ( 6 / 28 )140.9146428571431.4507898361853897.1296044006317
Winsorized Mean ( 7 / 28 )140.9304761904761.4390802337748997.9309373326584
Winsorized Mean ( 8 / 28 )140.9228571428571.4296845032630798.5691995829979
Winsorized Mean ( 9 / 28 )140.881.4154005816924099.5336598149118
Winsorized Mean ( 10 / 28 )141.0133333333331.36726546080622103.135299892812
Winsorized Mean ( 11 / 28 )141.2019047619051.30645805846390108.079937084185
Winsorized Mean ( 12 / 28 )141.1061904761901.2812223203258110.134040156519
Winsorized Mean ( 13 / 28 )141.0303571428571.25503958796822112.371241907334
Winsorized Mean ( 14 / 28 )141.1053571428571.22775790976102114.929300003714
Winsorized Mean ( 15 / 28 )141.0035714285711.20306731289134117.203393291184
Winsorized Mean ( 16 / 28 )141.1559523809521.16520552038453121.142536583906
Winsorized Mean ( 17 / 28 )140.9697619047621.12872181549802124.893273053789
Winsorized Mean ( 18 / 28 )141.1497619047621.10698137891744127.508704837292
Winsorized Mean ( 19 / 28 )140.9959523809521.04184751548695135.332618531084
Winsorized Mean ( 20 / 28 )140.9840476190481.01617196073693138.740344219698
Winsorized Mean ( 21 / 28 )140.6315476190480.945004462192739148.815749814274
Winsorized Mean ( 22 / 28 )140.1967857142860.84681149394306165.558435043765
Winsorized Mean ( 23 / 28 )139.8271428571430.782346228769817178.727956645245
Winsorized Mean ( 24 / 28 )139.6728571428570.750352442938573186.143003141114
Winsorized Mean ( 25 / 28 )139.5478571428570.728683907655187191.506709118779
Winsorized Mean ( 26 / 28 )138.9845238095240.645423146916868215.338610760152
Winsorized Mean ( 27 / 28 )138.5955952380950.559357377347909247.776467873224
Winsorized Mean ( 28 / 28 )138.2189285714290.475003276790858290.985210681580
Trimmed Mean ( 1 / 28 )140.5268292682931.5450230523850990.954519449634
Trimmed Mean ( 2 / 28 )140.5681251.5039164703540693.4680401278581
Trimmed Mean ( 3 / 28 )140.6084615384621.4600072310720496.3066884505885
Trimmed Mean ( 4 / 28 )140.6142105263161.4263209483948998.5852522775858
Trimmed Mean ( 5 / 28 )140.5922972972971.39584389376489100.722077823538
Trimmed Mean ( 6 / 28 )140.5620833333331.36745602901702102.790934663087
Trimmed Mean ( 7 / 28 )140.4915714285711.34244629513030104.653401732495
Trimmed Mean ( 8 / 28 )140.4141176470591.31535028292163106.750361078856
Trimmed Mean ( 9 / 28 )140.3331818181821.28496516889459109.211662086456
Trimmed Mean ( 10 / 28 )140.25343751.25151489986370112.066933853744
Trimmed Mean ( 11 / 28 )140.1504838709681.22095485055231114.787605624867
Trimmed Mean ( 12 / 28 )140.0166666666671.19546531769030117.123152461826
Trimmed Mean ( 13 / 28 )139.8851724137931.16898051356718119.664246572366
Trimmed Mean ( 14 / 28 )139.7530357142861.14117340839539122.464328984666
Trimmed Mean ( 15 / 28 )139.6027777777781.11131677603925125.619248073735
Trimmed Mean ( 16 / 28 )139.4519230769231.07861679056069129.287736198166
Trimmed Mean ( 17 / 28 )139.2731.04388318409716133.418185216247
Trimmed Mean ( 18 / 28 )139.0983333333331.00720020148076138.103957017517
Trimmed Mean ( 19 / 28 )138.8902173913040.962955469201342144.233271250328
Trimmed Mean ( 20 / 28 )138.6786363636360.919781007975864150.773537571538
Trimmed Mean ( 21 / 28 )138.4480952380950.867578581130348159.579890801032
Trimmed Mean ( 22 / 28 )138.229750.816651032359506169.264158768795
Trimmed Mean ( 23 / 28 )138.0321052631580.774860163394501178.138084500909
Trimmed Mean ( 24 / 28 )137.850.735915259959508187.317762655968
Trimmed Mean ( 25 / 28 )137.6623529411760.690155767741971199.465627001243
Trimmed Mean ( 26 / 28 )137.4643750.630638427396294217.976528273969
Trimmed Mean ( 27 / 28 )137.3006666666670.577073658784419237.925721572329
Trimmed Mean ( 28 / 28 )137.1567857142860.531872267946385257.875422314953
Median136.02
Midrange139.245
Midmean - Weighted Average at Xnp138.303255813953
Midmean - Weighted Average at X(n+1)p138.448095238095
Midmean - Empirical Distribution Function138.303255813953
Midmean - Empirical Distribution Function - Averaging138.448095238095
Midmean - Empirical Distribution Function - Interpolation138.448095238095
Midmean - Closest Observation138.303255813953
Midmean - True Basic - Statistics Graphics Toolkit138.448095238095
Midmean - MS Excel (old versions)138.678636363636
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')