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Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationSun, 22 Dec 2013 09:32:55 -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/Dec/22/t1387722819i3x9n8jv92xci7d.htm/, Retrieved Sun, 05 Dec 2021 17:50:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232529, Retrieved Sun, 05 Dec 2021 17:50:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [] [2013-12-22 14:32:55] [818da16b08b21220aa14002c9e16e6e1] [Current]
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Dataseries X:
2,17
2,17
2,08
2,12
2,18
2,13
2,21
2,06
1,91
1,99
2,04
2,02
2,01
2,1
2,01
2,07
2,05
2,1
2,15
2,15
1,96
2,06
2,07
2,05
2,08
2,14
2,16
2,35
2,31
2,2
2,3
2,22
2,14
2,17
2,12
2,1
2,17
2,29
2,17
2,25
2,13
2,23
2,17
2,24
2,13
2,16
2,1
2,05
2,03
2,24
2,17
2,13
2,21
2,18
2,21
2,23
2,09
2,16
2,13
2,12
2,04
2,2
2,16
2,14
2,18
2,08
2,1
2,04
1,98
1,99
1,99
2
2,02
2,02
2,03
1,96
1,95
1,94
1,96
2
1,88
1,98
1,99
1,96




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232529&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232529&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232529&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean2.103928571428570.0107720046002563195.31448876085
Geometric Mean2.10163922257974
Harmonic Mean2.09934938246945
Quadratic Mean2.10621614004153
Winsorized Mean ( 1 / 28 )2.103809523809520.0105661655452146199.108135757189
Winsorized Mean ( 2 / 28 )2.104285714285710.0103638423739336203.04107669355
Winsorized Mean ( 3 / 28 )2.104285714285710.010217493849226205.9493008107
Winsorized Mean ( 4 / 28 )2.102857142857140.00974954789332573215.687657096049
Winsorized Mean ( 5 / 28 )2.10226190476190.00964420282005279217.981925928679
Winsorized Mean ( 6 / 28 )2.10226190476190.00964420282005279217.981925928679
Winsorized Mean ( 7 / 28 )2.101428571428570.00950457035507761221.096640134388
Winsorized Mean ( 8 / 28 )2.103333333333330.0091793710533757229.136976934802
Winsorized Mean ( 9 / 28 )2.10226190476190.00900588064153375233.432130453361
Winsorized Mean ( 10 / 28 )2.10226190476190.00863180550514899243.548340322066
Winsorized Mean ( 11 / 28 )2.10226190476190.00863180550514899243.548340322066
Winsorized Mean ( 12 / 28 )2.10226190476190.00863180550514899243.548340322066
Winsorized Mean ( 13 / 28 )2.100714285714290.00840523037835979249.92941194364
Winsorized Mean ( 14 / 28 )2.102380952380950.00814670957307405258.065042520921
Winsorized Mean ( 15 / 28 )2.098809523809520.00765995009096051273.997806628835
Winsorized Mean ( 16 / 28 )2.100714285714290.00737058105754285285.01338894638
Winsorized Mean ( 17 / 28 )2.100714285714290.00737058105754285285.01338894638
Winsorized Mean ( 18 / 28 )2.100714285714290.00678703523091174309.518694723511
Winsorized Mean ( 19 / 28 )2.100714285714290.00678703523091174309.518694723511
Winsorized Mean ( 20 / 28 )2.100714285714290.00678703523091174309.518694723511
Winsorized Mean ( 21 / 28 )2.103214285714290.00643641549868906326.767948113769
Winsorized Mean ( 22 / 28 )2.103214285714290.00643641549868906326.767948113769
Winsorized Mean ( 23 / 28 )2.105952380952380.00606930486070912346.984115855786
Winsorized Mean ( 24 / 28 )2.105952380952380.00606930486070912346.984115855786
Winsorized Mean ( 25 / 28 )2.102976190476190.00570044879991952368.914144182101
Winsorized Mean ( 26 / 28 )2.106071428571430.00529675275105059397.615582142039
Winsorized Mean ( 27 / 28 )2.106071428571430.00529675275105059397.61558214204
Winsorized Mean ( 28 / 28 )2.106071428571430.00529675275105059397.615582142039
Trimmed Mean ( 1 / 28 )2.103658536585370.0102535049127967205.164824562568
Trimmed Mean ( 2 / 28 )2.10350.00989038018749353212.681409624667
Trimmed Mean ( 3 / 28 )2.103076923076920.00959434928514615219.199537203933
Trimmed Mean ( 4 / 28 )2.102631578947370.00931395561293597225.750654858937
Trimmed Mean ( 5 / 28 )2.102567567567570.00915144862180206229.752430949401
Trimmed Mean ( 6 / 28 )2.102638888888890.0089905032828194233.873324189422
Trimmed Mean ( 7 / 28 )2.102714285714290.00879940104439034238.961069634936
Trimmed Mean ( 8 / 28 )2.102941176470590.00860574063544342244.364926338758
Trimmed Mean ( 9 / 28 )2.102878787878790.0084477418715287248.927917052732
Trimmed Mean ( 10 / 28 )2.102968750.00829359479705502253.565408180629
Trimmed Mean ( 11 / 28 )2.103064516129030.00818088959125831257.070394688649
Trimmed Mean ( 12 / 28 )2.103166666666670.00804117815617586261.549567217507
Trimmed Mean ( 13 / 28 )2.103275862068970.00786835088288017267.308346231132
Trimmed Mean ( 14 / 28 )2.103571428571430.00769731177323115273.286504502389
Trimmed Mean ( 15 / 28 )2.10370370370370.00753420477091906279.220404497591
Trimmed Mean ( 16 / 28 )2.104230769230770.00741643315093002283.725441382411
Trimmed Mean ( 17 / 28 )2.10460.00731902748084103287.551864712791
Trimmed Mean ( 18 / 28 )2.1050.00718918612661549292.800876612022
Trimmed Mean ( 19 / 28 )2.10543478260870.00712691382374754295.420266706915
Trimmed Mean ( 20 / 28 )2.105909090909090.00703598558948586299.305486647959
Trimmed Mean ( 21 / 28 )2.106428571428570.00690756481216878304.945176586365
Trimmed Mean ( 22 / 28 )2.106750.00680674156768353309.509326753677
Trimmed Mean ( 23 / 28 )2.107105263157890.0066609399925377316.337523760685
Trimmed Mean ( 24 / 28 )2.107222222222220.0065418204241695322.115571139319
Trimmed Mean ( 25 / 28 )2.107352941176470.00636541490148034331.062935219884
Trimmed Mean ( 26 / 28 )2.10781250.00620117013866817339.905606984797
Trimmed Mean ( 27 / 28 )2.1080.00607236059686765347.146709483522
Trimmed Mean ( 28 / 28 )2.108214285714290.00586563779372161359.417741063188
Median2.11
Midrange2.115
Midmean - Weighted Average at Xnp2.105
Midmean - Weighted Average at X(n+1)p2.11066666666667
Midmean - Empirical Distribution Function2.105
Midmean - Empirical Distribution Function - Averaging2.11066666666667
Midmean - Empirical Distribution Function - Interpolation2.11066666666667
Midmean - Closest Observation2.105
Midmean - True Basic - Statistics Graphics Toolkit2.11066666666667
Midmean - MS Excel (old versions)2.105
Number of observations84

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 2.10392857142857 & 0.0107720046002563 & 195.31448876085 \tabularnewline
Geometric Mean & 2.10163922257974 &  &  \tabularnewline
Harmonic Mean & 2.09934938246945 &  &  \tabularnewline
Quadratic Mean & 2.10621614004153 &  &  \tabularnewline
Winsorized Mean ( 1 / 28 ) & 2.10380952380952 & 0.0105661655452146 & 199.108135757189 \tabularnewline
Winsorized Mean ( 2 / 28 ) & 2.10428571428571 & 0.0103638423739336 & 203.04107669355 \tabularnewline
Winsorized Mean ( 3 / 28 ) & 2.10428571428571 & 0.010217493849226 & 205.9493008107 \tabularnewline
Winsorized Mean ( 4 / 28 ) & 2.10285714285714 & 0.00974954789332573 & 215.687657096049 \tabularnewline
Winsorized Mean ( 5 / 28 ) & 2.1022619047619 & 0.00964420282005279 & 217.981925928679 \tabularnewline
Winsorized Mean ( 6 / 28 ) & 2.1022619047619 & 0.00964420282005279 & 217.981925928679 \tabularnewline
Winsorized Mean ( 7 / 28 ) & 2.10142857142857 & 0.00950457035507761 & 221.096640134388 \tabularnewline
Winsorized Mean ( 8 / 28 ) & 2.10333333333333 & 0.0091793710533757 & 229.136976934802 \tabularnewline
Winsorized Mean ( 9 / 28 ) & 2.1022619047619 & 0.00900588064153375 & 233.432130453361 \tabularnewline
Winsorized Mean ( 10 / 28 ) & 2.1022619047619 & 0.00863180550514899 & 243.548340322066 \tabularnewline
Winsorized Mean ( 11 / 28 ) & 2.1022619047619 & 0.00863180550514899 & 243.548340322066 \tabularnewline
Winsorized Mean ( 12 / 28 ) & 2.1022619047619 & 0.00863180550514899 & 243.548340322066 \tabularnewline
Winsorized Mean ( 13 / 28 ) & 2.10071428571429 & 0.00840523037835979 & 249.92941194364 \tabularnewline
Winsorized Mean ( 14 / 28 ) & 2.10238095238095 & 0.00814670957307405 & 258.065042520921 \tabularnewline
Winsorized Mean ( 15 / 28 ) & 2.09880952380952 & 0.00765995009096051 & 273.997806628835 \tabularnewline
Winsorized Mean ( 16 / 28 ) & 2.10071428571429 & 0.00737058105754285 & 285.01338894638 \tabularnewline
Winsorized Mean ( 17 / 28 ) & 2.10071428571429 & 0.00737058105754285 & 285.01338894638 \tabularnewline
Winsorized Mean ( 18 / 28 ) & 2.10071428571429 & 0.00678703523091174 & 309.518694723511 \tabularnewline
Winsorized Mean ( 19 / 28 ) & 2.10071428571429 & 0.00678703523091174 & 309.518694723511 \tabularnewline
Winsorized Mean ( 20 / 28 ) & 2.10071428571429 & 0.00678703523091174 & 309.518694723511 \tabularnewline
Winsorized Mean ( 21 / 28 ) & 2.10321428571429 & 0.00643641549868906 & 326.767948113769 \tabularnewline
Winsorized Mean ( 22 / 28 ) & 2.10321428571429 & 0.00643641549868906 & 326.767948113769 \tabularnewline
Winsorized Mean ( 23 / 28 ) & 2.10595238095238 & 0.00606930486070912 & 346.984115855786 \tabularnewline
Winsorized Mean ( 24 / 28 ) & 2.10595238095238 & 0.00606930486070912 & 346.984115855786 \tabularnewline
Winsorized Mean ( 25 / 28 ) & 2.10297619047619 & 0.00570044879991952 & 368.914144182101 \tabularnewline
Winsorized Mean ( 26 / 28 ) & 2.10607142857143 & 0.00529675275105059 & 397.615582142039 \tabularnewline
Winsorized Mean ( 27 / 28 ) & 2.10607142857143 & 0.00529675275105059 & 397.61558214204 \tabularnewline
Winsorized Mean ( 28 / 28 ) & 2.10607142857143 & 0.00529675275105059 & 397.615582142039 \tabularnewline
Trimmed Mean ( 1 / 28 ) & 2.10365853658537 & 0.0102535049127967 & 205.164824562568 \tabularnewline
Trimmed Mean ( 2 / 28 ) & 2.1035 & 0.00989038018749353 & 212.681409624667 \tabularnewline
Trimmed Mean ( 3 / 28 ) & 2.10307692307692 & 0.00959434928514615 & 219.199537203933 \tabularnewline
Trimmed Mean ( 4 / 28 ) & 2.10263157894737 & 0.00931395561293597 & 225.750654858937 \tabularnewline
Trimmed Mean ( 5 / 28 ) & 2.10256756756757 & 0.00915144862180206 & 229.752430949401 \tabularnewline
Trimmed Mean ( 6 / 28 ) & 2.10263888888889 & 0.0089905032828194 & 233.873324189422 \tabularnewline
Trimmed Mean ( 7 / 28 ) & 2.10271428571429 & 0.00879940104439034 & 238.961069634936 \tabularnewline
Trimmed Mean ( 8 / 28 ) & 2.10294117647059 & 0.00860574063544342 & 244.364926338758 \tabularnewline
Trimmed Mean ( 9 / 28 ) & 2.10287878787879 & 0.0084477418715287 & 248.927917052732 \tabularnewline
Trimmed Mean ( 10 / 28 ) & 2.10296875 & 0.00829359479705502 & 253.565408180629 \tabularnewline
Trimmed Mean ( 11 / 28 ) & 2.10306451612903 & 0.00818088959125831 & 257.070394688649 \tabularnewline
Trimmed Mean ( 12 / 28 ) & 2.10316666666667 & 0.00804117815617586 & 261.549567217507 \tabularnewline
Trimmed Mean ( 13 / 28 ) & 2.10327586206897 & 0.00786835088288017 & 267.308346231132 \tabularnewline
Trimmed Mean ( 14 / 28 ) & 2.10357142857143 & 0.00769731177323115 & 273.286504502389 \tabularnewline
Trimmed Mean ( 15 / 28 ) & 2.1037037037037 & 0.00753420477091906 & 279.220404497591 \tabularnewline
Trimmed Mean ( 16 / 28 ) & 2.10423076923077 & 0.00741643315093002 & 283.725441382411 \tabularnewline
Trimmed Mean ( 17 / 28 ) & 2.1046 & 0.00731902748084103 & 287.551864712791 \tabularnewline
Trimmed Mean ( 18 / 28 ) & 2.105 & 0.00718918612661549 & 292.800876612022 \tabularnewline
Trimmed Mean ( 19 / 28 ) & 2.1054347826087 & 0.00712691382374754 & 295.420266706915 \tabularnewline
Trimmed Mean ( 20 / 28 ) & 2.10590909090909 & 0.00703598558948586 & 299.305486647959 \tabularnewline
Trimmed Mean ( 21 / 28 ) & 2.10642857142857 & 0.00690756481216878 & 304.945176586365 \tabularnewline
Trimmed Mean ( 22 / 28 ) & 2.10675 & 0.00680674156768353 & 309.509326753677 \tabularnewline
Trimmed Mean ( 23 / 28 ) & 2.10710526315789 & 0.0066609399925377 & 316.337523760685 \tabularnewline
Trimmed Mean ( 24 / 28 ) & 2.10722222222222 & 0.0065418204241695 & 322.115571139319 \tabularnewline
Trimmed Mean ( 25 / 28 ) & 2.10735294117647 & 0.00636541490148034 & 331.062935219884 \tabularnewline
Trimmed Mean ( 26 / 28 ) & 2.1078125 & 0.00620117013866817 & 339.905606984797 \tabularnewline
Trimmed Mean ( 27 / 28 ) & 2.108 & 0.00607236059686765 & 347.146709483522 \tabularnewline
Trimmed Mean ( 28 / 28 ) & 2.10821428571429 & 0.00586563779372161 & 359.417741063188 \tabularnewline
Median & 2.11 &  &  \tabularnewline
Midrange & 2.115 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 2.105 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 2.11066666666667 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 2.105 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 2.11066666666667 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 2.11066666666667 &  &  \tabularnewline
Midmean - Closest Observation & 2.105 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 2.11066666666667 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 2.105 &  &  \tabularnewline
Number of observations & 84 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232529&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]2.10392857142857[/C][C]0.0107720046002563[/C][C]195.31448876085[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]2.10163922257974[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]2.09934938246945[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]2.10621614004153[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 28 )[/C][C]2.10380952380952[/C][C]0.0105661655452146[/C][C]199.108135757189[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 28 )[/C][C]2.10428571428571[/C][C]0.0103638423739336[/C][C]203.04107669355[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 28 )[/C][C]2.10428571428571[/C][C]0.010217493849226[/C][C]205.9493008107[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 28 )[/C][C]2.10285714285714[/C][C]0.00974954789332573[/C][C]215.687657096049[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 28 )[/C][C]2.1022619047619[/C][C]0.00964420282005279[/C][C]217.981925928679[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 28 )[/C][C]2.1022619047619[/C][C]0.00964420282005279[/C][C]217.981925928679[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 28 )[/C][C]2.10142857142857[/C][C]0.00950457035507761[/C][C]221.096640134388[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 28 )[/C][C]2.10333333333333[/C][C]0.0091793710533757[/C][C]229.136976934802[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 28 )[/C][C]2.1022619047619[/C][C]0.00900588064153375[/C][C]233.432130453361[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 28 )[/C][C]2.1022619047619[/C][C]0.00863180550514899[/C][C]243.548340322066[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 28 )[/C][C]2.1022619047619[/C][C]0.00863180550514899[/C][C]243.548340322066[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 28 )[/C][C]2.1022619047619[/C][C]0.00863180550514899[/C][C]243.548340322066[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 28 )[/C][C]2.10071428571429[/C][C]0.00840523037835979[/C][C]249.92941194364[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 28 )[/C][C]2.10238095238095[/C][C]0.00814670957307405[/C][C]258.065042520921[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 28 )[/C][C]2.09880952380952[/C][C]0.00765995009096051[/C][C]273.997806628835[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 28 )[/C][C]2.10071428571429[/C][C]0.00737058105754285[/C][C]285.01338894638[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 28 )[/C][C]2.10071428571429[/C][C]0.00737058105754285[/C][C]285.01338894638[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 28 )[/C][C]2.10071428571429[/C][C]0.00678703523091174[/C][C]309.518694723511[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 28 )[/C][C]2.10071428571429[/C][C]0.00678703523091174[/C][C]309.518694723511[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 28 )[/C][C]2.10071428571429[/C][C]0.00678703523091174[/C][C]309.518694723511[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 28 )[/C][C]2.10321428571429[/C][C]0.00643641549868906[/C][C]326.767948113769[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 28 )[/C][C]2.10321428571429[/C][C]0.00643641549868906[/C][C]326.767948113769[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 28 )[/C][C]2.10595238095238[/C][C]0.00606930486070912[/C][C]346.984115855786[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 28 )[/C][C]2.10595238095238[/C][C]0.00606930486070912[/C][C]346.984115855786[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 28 )[/C][C]2.10297619047619[/C][C]0.00570044879991952[/C][C]368.914144182101[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 28 )[/C][C]2.10607142857143[/C][C]0.00529675275105059[/C][C]397.615582142039[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 28 )[/C][C]2.10607142857143[/C][C]0.00529675275105059[/C][C]397.61558214204[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 28 )[/C][C]2.10607142857143[/C][C]0.00529675275105059[/C][C]397.615582142039[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 28 )[/C][C]2.10365853658537[/C][C]0.0102535049127967[/C][C]205.164824562568[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 28 )[/C][C]2.1035[/C][C]0.00989038018749353[/C][C]212.681409624667[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 28 )[/C][C]2.10307692307692[/C][C]0.00959434928514615[/C][C]219.199537203933[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 28 )[/C][C]2.10263157894737[/C][C]0.00931395561293597[/C][C]225.750654858937[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 28 )[/C][C]2.10256756756757[/C][C]0.00915144862180206[/C][C]229.752430949401[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 28 )[/C][C]2.10263888888889[/C][C]0.0089905032828194[/C][C]233.873324189422[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 28 )[/C][C]2.10271428571429[/C][C]0.00879940104439034[/C][C]238.961069634936[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 28 )[/C][C]2.10294117647059[/C][C]0.00860574063544342[/C][C]244.364926338758[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 28 )[/C][C]2.10287878787879[/C][C]0.0084477418715287[/C][C]248.927917052732[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 28 )[/C][C]2.10296875[/C][C]0.00829359479705502[/C][C]253.565408180629[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 28 )[/C][C]2.10306451612903[/C][C]0.00818088959125831[/C][C]257.070394688649[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 28 )[/C][C]2.10316666666667[/C][C]0.00804117815617586[/C][C]261.549567217507[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 28 )[/C][C]2.10327586206897[/C][C]0.00786835088288017[/C][C]267.308346231132[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 28 )[/C][C]2.10357142857143[/C][C]0.00769731177323115[/C][C]273.286504502389[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 28 )[/C][C]2.1037037037037[/C][C]0.00753420477091906[/C][C]279.220404497591[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 28 )[/C][C]2.10423076923077[/C][C]0.00741643315093002[/C][C]283.725441382411[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 28 )[/C][C]2.1046[/C][C]0.00731902748084103[/C][C]287.551864712791[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 28 )[/C][C]2.105[/C][C]0.00718918612661549[/C][C]292.800876612022[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 28 )[/C][C]2.1054347826087[/C][C]0.00712691382374754[/C][C]295.420266706915[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 28 )[/C][C]2.10590909090909[/C][C]0.00703598558948586[/C][C]299.305486647959[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 28 )[/C][C]2.10642857142857[/C][C]0.00690756481216878[/C][C]304.945176586365[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 28 )[/C][C]2.10675[/C][C]0.00680674156768353[/C][C]309.509326753677[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 28 )[/C][C]2.10710526315789[/C][C]0.0066609399925377[/C][C]316.337523760685[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 28 )[/C][C]2.10722222222222[/C][C]0.0065418204241695[/C][C]322.115571139319[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 28 )[/C][C]2.10735294117647[/C][C]0.00636541490148034[/C][C]331.062935219884[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 28 )[/C][C]2.1078125[/C][C]0.00620117013866817[/C][C]339.905606984797[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 28 )[/C][C]2.108[/C][C]0.00607236059686765[/C][C]347.146709483522[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 28 )[/C][C]2.10821428571429[/C][C]0.00586563779372161[/C][C]359.417741063188[/C][/ROW]
[ROW][C]Median[/C][C]2.11[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]2.115[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]2.105[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]2.11066666666667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]2.105[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]2.11066666666667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]2.11066666666667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]2.105[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]2.11066666666667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]2.105[/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=232529&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232529&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 Mean2.103928571428570.0107720046002563195.31448876085
Geometric Mean2.10163922257974
Harmonic Mean2.09934938246945
Quadratic Mean2.10621614004153
Winsorized Mean ( 1 / 28 )2.103809523809520.0105661655452146199.108135757189
Winsorized Mean ( 2 / 28 )2.104285714285710.0103638423739336203.04107669355
Winsorized Mean ( 3 / 28 )2.104285714285710.010217493849226205.9493008107
Winsorized Mean ( 4 / 28 )2.102857142857140.00974954789332573215.687657096049
Winsorized Mean ( 5 / 28 )2.10226190476190.00964420282005279217.981925928679
Winsorized Mean ( 6 / 28 )2.10226190476190.00964420282005279217.981925928679
Winsorized Mean ( 7 / 28 )2.101428571428570.00950457035507761221.096640134388
Winsorized Mean ( 8 / 28 )2.103333333333330.0091793710533757229.136976934802
Winsorized Mean ( 9 / 28 )2.10226190476190.00900588064153375233.432130453361
Winsorized Mean ( 10 / 28 )2.10226190476190.00863180550514899243.548340322066
Winsorized Mean ( 11 / 28 )2.10226190476190.00863180550514899243.548340322066
Winsorized Mean ( 12 / 28 )2.10226190476190.00863180550514899243.548340322066
Winsorized Mean ( 13 / 28 )2.100714285714290.00840523037835979249.92941194364
Winsorized Mean ( 14 / 28 )2.102380952380950.00814670957307405258.065042520921
Winsorized Mean ( 15 / 28 )2.098809523809520.00765995009096051273.997806628835
Winsorized Mean ( 16 / 28 )2.100714285714290.00737058105754285285.01338894638
Winsorized Mean ( 17 / 28 )2.100714285714290.00737058105754285285.01338894638
Winsorized Mean ( 18 / 28 )2.100714285714290.00678703523091174309.518694723511
Winsorized Mean ( 19 / 28 )2.100714285714290.00678703523091174309.518694723511
Winsorized Mean ( 20 / 28 )2.100714285714290.00678703523091174309.518694723511
Winsorized Mean ( 21 / 28 )2.103214285714290.00643641549868906326.767948113769
Winsorized Mean ( 22 / 28 )2.103214285714290.00643641549868906326.767948113769
Winsorized Mean ( 23 / 28 )2.105952380952380.00606930486070912346.984115855786
Winsorized Mean ( 24 / 28 )2.105952380952380.00606930486070912346.984115855786
Winsorized Mean ( 25 / 28 )2.102976190476190.00570044879991952368.914144182101
Winsorized Mean ( 26 / 28 )2.106071428571430.00529675275105059397.615582142039
Winsorized Mean ( 27 / 28 )2.106071428571430.00529675275105059397.61558214204
Winsorized Mean ( 28 / 28 )2.106071428571430.00529675275105059397.615582142039
Trimmed Mean ( 1 / 28 )2.103658536585370.0102535049127967205.164824562568
Trimmed Mean ( 2 / 28 )2.10350.00989038018749353212.681409624667
Trimmed Mean ( 3 / 28 )2.103076923076920.00959434928514615219.199537203933
Trimmed Mean ( 4 / 28 )2.102631578947370.00931395561293597225.750654858937
Trimmed Mean ( 5 / 28 )2.102567567567570.00915144862180206229.752430949401
Trimmed Mean ( 6 / 28 )2.102638888888890.0089905032828194233.873324189422
Trimmed Mean ( 7 / 28 )2.102714285714290.00879940104439034238.961069634936
Trimmed Mean ( 8 / 28 )2.102941176470590.00860574063544342244.364926338758
Trimmed Mean ( 9 / 28 )2.102878787878790.0084477418715287248.927917052732
Trimmed Mean ( 10 / 28 )2.102968750.00829359479705502253.565408180629
Trimmed Mean ( 11 / 28 )2.103064516129030.00818088959125831257.070394688649
Trimmed Mean ( 12 / 28 )2.103166666666670.00804117815617586261.549567217507
Trimmed Mean ( 13 / 28 )2.103275862068970.00786835088288017267.308346231132
Trimmed Mean ( 14 / 28 )2.103571428571430.00769731177323115273.286504502389
Trimmed Mean ( 15 / 28 )2.10370370370370.00753420477091906279.220404497591
Trimmed Mean ( 16 / 28 )2.104230769230770.00741643315093002283.725441382411
Trimmed Mean ( 17 / 28 )2.10460.00731902748084103287.551864712791
Trimmed Mean ( 18 / 28 )2.1050.00718918612661549292.800876612022
Trimmed Mean ( 19 / 28 )2.10543478260870.00712691382374754295.420266706915
Trimmed Mean ( 20 / 28 )2.105909090909090.00703598558948586299.305486647959
Trimmed Mean ( 21 / 28 )2.106428571428570.00690756481216878304.945176586365
Trimmed Mean ( 22 / 28 )2.106750.00680674156768353309.509326753677
Trimmed Mean ( 23 / 28 )2.107105263157890.0066609399925377316.337523760685
Trimmed Mean ( 24 / 28 )2.107222222222220.0065418204241695322.115571139319
Trimmed Mean ( 25 / 28 )2.107352941176470.00636541490148034331.062935219884
Trimmed Mean ( 26 / 28 )2.10781250.00620117013866817339.905606984797
Trimmed Mean ( 27 / 28 )2.1080.00607236059686765347.146709483522
Trimmed Mean ( 28 / 28 )2.108214285714290.00586563779372161359.417741063188
Median2.11
Midrange2.115
Midmean - Weighted Average at Xnp2.105
Midmean - Weighted Average at X(n+1)p2.11066666666667
Midmean - Empirical Distribution Function2.105
Midmean - Empirical Distribution Function - Averaging2.11066666666667
Midmean - Empirical Distribution Function - Interpolation2.11066666666667
Midmean - Closest Observation2.105
Midmean - True Basic - Statistics Graphics Toolkit2.11066666666667
Midmean - MS Excel (old versions)2.105
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')