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Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationSat, 21 Dec 2013 09:58:02 -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/21/t13876378944izi3v8yegved0f.htm/, Retrieved Thu, 28 Mar 2024 23:37:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232491, Retrieved Thu, 28 Mar 2024 23:37:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact142
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [] [2013-12-21 14:58:02] [54713e3426a13268f2edfca2b563126c] [Current]
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Dataseries X:
0,43
0,45
0,44
0,44
0,44
0,48
0,47
0,47
0,47
0,49
0,49
0,46
0,45
0,44
0,42
0,43
0,43
0,47
0,47
0,47
0,47
0,48
0,48
0,48
0,49
0,49
0,47
0,5
0,51
0,5
0,49
0,5
0,51
0,51
0,5
0,53
0,5
0,49
0,46
0,46
0,47
0,49
0,5
0,5
0,51
0,5
0,52
0,5
0,48
0,47
0,43
0,42
0,45
0,5
0,52
0,52
0,51
0,52
0,52
0,51
0,51
0,51
0,48
0,49
0,47
0,51
0,5
0,51
0,51
0,52
0,51
0,52
0,48
0,49
0,47
0,44
0,44
0,47
0,51
0,51
0,52
0,52
0,52
0,52




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232491&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232491&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232491&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'Gertrude Mary Cox' @ cox.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean0.484523809523810.00312947218446191154.82604764136
Geometric Mean0.483664186708798
Harmonic Mean0.482783943218583
Quadratic Mean0.485361917002344
Winsorized Mean ( 1 / 28 )0.4844047619047620.00311083826339153155.71518699807
Winsorized Mean ( 2 / 28 )0.4846428571428570.00305545620788588158.615546801828
Winsorized Mean ( 3 / 28 )0.4846428571428570.00305545620788588158.615546801828
Winsorized Mean ( 4 / 28 )0.4846428571428570.00305545620788588158.615546801828
Winsorized Mean ( 5 / 28 )0.4846428571428570.00305545620788588158.615546801828
Winsorized Mean ( 6 / 28 )0.4853571428571430.00291122438853032166.71924870146
Winsorized Mean ( 7 / 28 )0.4853571428571430.00291122438853032166.71924870146
Winsorized Mean ( 8 / 28 )0.4853571428571430.00291122438853032166.71924870146
Winsorized Mean ( 9 / 28 )0.4853571428571430.00291122438853032166.71924870146
Winsorized Mean ( 10 / 28 )0.4853571428571430.00291122438853032166.71924870146
Winsorized Mean ( 11 / 28 )0.4853571428571430.00291122438853032166.71924870146
Winsorized Mean ( 12 / 28 )0.4853571428571430.00246284162831411197.072007098315
Winsorized Mean ( 13 / 28 )0.4853571428571430.00246284162831411197.072007098315
Winsorized Mean ( 14 / 28 )0.4853571428571430.00246284162831411197.072007098315
Winsorized Mean ( 15 / 28 )0.4871428571428570.00217276885894107224.203718282429
Winsorized Mean ( 16 / 28 )0.4871428571428570.00217276885894107224.203718282429
Winsorized Mean ( 17 / 28 )0.4871428571428570.00217276885894107224.203718282429
Winsorized Mean ( 18 / 28 )0.4892857142857140.00187676644109056260.706768606432
Winsorized Mean ( 19 / 28 )0.4892857142857140.00187676644109056260.706768606432
Winsorized Mean ( 20 / 28 )0.4892857142857140.00187676644109056260.706768606432
Winsorized Mean ( 21 / 28 )0.4892857142857140.00187676644109056260.706768606432
Winsorized Mean ( 22 / 28 )0.4892857142857140.00187676644109056260.706768606432
Winsorized Mean ( 23 / 28 )0.4892857142857140.00187676644109056260.706768606432
Winsorized Mean ( 24 / 28 )0.4892857142857140.00187676644109056260.706768606432
Winsorized Mean ( 25 / 28 )0.4892857142857140.00187676644109056260.706768606432
Winsorized Mean ( 26 / 28 )0.4861904761904760.00149492123475739325.228155762587
Winsorized Mean ( 27 / 28 )0.4861904761904760.00149492123475739325.228155762587
Winsorized Mean ( 28 / 28 )0.4861904761904760.00149492123475739325.228155762587
Trimmed Mean ( 1 / 28 )0.4847560975609760.00305635914417632158.605737969193
Trimmed Mean ( 2 / 28 )0.4851250.0029925738784066162.109615238072
Trimmed Mean ( 3 / 28 )0.4853846153846150.00295200991876999164.425130247144
Trimmed Mean ( 4 / 28 )0.4856578947368420.00290393276174992167.241439310799
Trimmed Mean ( 5 / 28 )0.4859459459459460.00284694682368966170.690208156455
Trimmed Mean ( 6 / 28 )0.486250.00277929340498371174.954540290017
Trimmed Mean ( 7 / 28 )0.4864285714285710.00273793770363273177.66239559913
Trimmed Mean ( 8 / 28 )0.4866176470588240.00268813846668122181.024025767394
Trimmed Mean ( 9 / 28 )0.4868181818181820.00262815215034548185.232115178031
Trimmed Mean ( 10 / 28 )0.487031250.00255572504991323190.564806654979
Trimmed Mean ( 11 / 28 )0.4872580645161290.00246787240904482197.440541387113
Trimmed Mean ( 12 / 28 )0.48750.0023605156000978206.52267664734
Trimmed Mean ( 13 / 28 )0.4877586206896550.00232093895210008210.155730398816
Trimmed Mean ( 14 / 28 )0.4880357142857140.0022709292516607214.905732500834
Trimmed Mean ( 15 / 28 )0.4883333333333330.00220776217842366221.189283024136
Trimmed Mean ( 16 / 28 )0.4884615384615380.00218635242054746223.413907964219
Trimmed Mean ( 17 / 28 )0.48860.00215728476354431226.488411848446
Trimmed Mean ( 18 / 28 )0.488750.00211849756074762230.705953622868
Trimmed Mean ( 19 / 28 )0.4886956521739130.00212208756147515230.290050724486
Trimmed Mean ( 20 / 28 )0.4886363636363640.00212184124366307230.288842341852
Trimmed Mean ( 21 / 28 )0.4885714285714290.00211656342139198230.832406737009
Trimmed Mean ( 22 / 28 )0.48850.00210463469026983232.106789011147
Trimmed Mean ( 23 / 28 )0.4884210526315790.00208381679399488234.387712988544
Trimmed Mean ( 24 / 28 )0.4883333333333330.00205093861593886238.102364223996
Trimmed Mean ( 25 / 28 )0.4882352941176470.00200136264788744243.95143710362
Trimmed Mean ( 26 / 28 )0.4881250.00192801397900166253.175031569405
Trimmed Mean ( 27 / 28 )0.4883333333333330.00192284112907511253.964472648982
Trimmed Mean ( 28 / 28 )0.4885714285714290.00190476190476191256.5
Median0.49
Midrange0.475
Midmean - Weighted Average at Xnp0.491111111111112
Midmean - Weighted Average at X(n+1)p0.491111111111112
Midmean - Empirical Distribution Function0.491111111111112
Midmean - Empirical Distribution Function - Averaging0.491111111111112
Midmean - Empirical Distribution Function - Interpolation0.491111111111112
Midmean - Closest Observation0.491111111111112
Midmean - True Basic - Statistics Graphics Toolkit0.491111111111112
Midmean - MS Excel (old versions)0.491111111111112
Number of observations84

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 0.48452380952381 & 0.00312947218446191 & 154.82604764136 \tabularnewline
Geometric Mean & 0.483664186708798 &  &  \tabularnewline
Harmonic Mean & 0.482783943218583 &  &  \tabularnewline
Quadratic Mean & 0.485361917002344 &  &  \tabularnewline
Winsorized Mean ( 1 / 28 ) & 0.484404761904762 & 0.00311083826339153 & 155.71518699807 \tabularnewline
Winsorized Mean ( 2 / 28 ) & 0.484642857142857 & 0.00305545620788588 & 158.615546801828 \tabularnewline
Winsorized Mean ( 3 / 28 ) & 0.484642857142857 & 0.00305545620788588 & 158.615546801828 \tabularnewline
Winsorized Mean ( 4 / 28 ) & 0.484642857142857 & 0.00305545620788588 & 158.615546801828 \tabularnewline
Winsorized Mean ( 5 / 28 ) & 0.484642857142857 & 0.00305545620788588 & 158.615546801828 \tabularnewline
Winsorized Mean ( 6 / 28 ) & 0.485357142857143 & 0.00291122438853032 & 166.71924870146 \tabularnewline
Winsorized Mean ( 7 / 28 ) & 0.485357142857143 & 0.00291122438853032 & 166.71924870146 \tabularnewline
Winsorized Mean ( 8 / 28 ) & 0.485357142857143 & 0.00291122438853032 & 166.71924870146 \tabularnewline
Winsorized Mean ( 9 / 28 ) & 0.485357142857143 & 0.00291122438853032 & 166.71924870146 \tabularnewline
Winsorized Mean ( 10 / 28 ) & 0.485357142857143 & 0.00291122438853032 & 166.71924870146 \tabularnewline
Winsorized Mean ( 11 / 28 ) & 0.485357142857143 & 0.00291122438853032 & 166.71924870146 \tabularnewline
Winsorized Mean ( 12 / 28 ) & 0.485357142857143 & 0.00246284162831411 & 197.072007098315 \tabularnewline
Winsorized Mean ( 13 / 28 ) & 0.485357142857143 & 0.00246284162831411 & 197.072007098315 \tabularnewline
Winsorized Mean ( 14 / 28 ) & 0.485357142857143 & 0.00246284162831411 & 197.072007098315 \tabularnewline
Winsorized Mean ( 15 / 28 ) & 0.487142857142857 & 0.00217276885894107 & 224.203718282429 \tabularnewline
Winsorized Mean ( 16 / 28 ) & 0.487142857142857 & 0.00217276885894107 & 224.203718282429 \tabularnewline
Winsorized Mean ( 17 / 28 ) & 0.487142857142857 & 0.00217276885894107 & 224.203718282429 \tabularnewline
Winsorized Mean ( 18 / 28 ) & 0.489285714285714 & 0.00187676644109056 & 260.706768606432 \tabularnewline
Winsorized Mean ( 19 / 28 ) & 0.489285714285714 & 0.00187676644109056 & 260.706768606432 \tabularnewline
Winsorized Mean ( 20 / 28 ) & 0.489285714285714 & 0.00187676644109056 & 260.706768606432 \tabularnewline
Winsorized Mean ( 21 / 28 ) & 0.489285714285714 & 0.00187676644109056 & 260.706768606432 \tabularnewline
Winsorized Mean ( 22 / 28 ) & 0.489285714285714 & 0.00187676644109056 & 260.706768606432 \tabularnewline
Winsorized Mean ( 23 / 28 ) & 0.489285714285714 & 0.00187676644109056 & 260.706768606432 \tabularnewline
Winsorized Mean ( 24 / 28 ) & 0.489285714285714 & 0.00187676644109056 & 260.706768606432 \tabularnewline
Winsorized Mean ( 25 / 28 ) & 0.489285714285714 & 0.00187676644109056 & 260.706768606432 \tabularnewline
Winsorized Mean ( 26 / 28 ) & 0.486190476190476 & 0.00149492123475739 & 325.228155762587 \tabularnewline
Winsorized Mean ( 27 / 28 ) & 0.486190476190476 & 0.00149492123475739 & 325.228155762587 \tabularnewline
Winsorized Mean ( 28 / 28 ) & 0.486190476190476 & 0.00149492123475739 & 325.228155762587 \tabularnewline
Trimmed Mean ( 1 / 28 ) & 0.484756097560976 & 0.00305635914417632 & 158.605737969193 \tabularnewline
Trimmed Mean ( 2 / 28 ) & 0.485125 & 0.0029925738784066 & 162.109615238072 \tabularnewline
Trimmed Mean ( 3 / 28 ) & 0.485384615384615 & 0.00295200991876999 & 164.425130247144 \tabularnewline
Trimmed Mean ( 4 / 28 ) & 0.485657894736842 & 0.00290393276174992 & 167.241439310799 \tabularnewline
Trimmed Mean ( 5 / 28 ) & 0.485945945945946 & 0.00284694682368966 & 170.690208156455 \tabularnewline
Trimmed Mean ( 6 / 28 ) & 0.48625 & 0.00277929340498371 & 174.954540290017 \tabularnewline
Trimmed Mean ( 7 / 28 ) & 0.486428571428571 & 0.00273793770363273 & 177.66239559913 \tabularnewline
Trimmed Mean ( 8 / 28 ) & 0.486617647058824 & 0.00268813846668122 & 181.024025767394 \tabularnewline
Trimmed Mean ( 9 / 28 ) & 0.486818181818182 & 0.00262815215034548 & 185.232115178031 \tabularnewline
Trimmed Mean ( 10 / 28 ) & 0.48703125 & 0.00255572504991323 & 190.564806654979 \tabularnewline
Trimmed Mean ( 11 / 28 ) & 0.487258064516129 & 0.00246787240904482 & 197.440541387113 \tabularnewline
Trimmed Mean ( 12 / 28 ) & 0.4875 & 0.0023605156000978 & 206.52267664734 \tabularnewline
Trimmed Mean ( 13 / 28 ) & 0.487758620689655 & 0.00232093895210008 & 210.155730398816 \tabularnewline
Trimmed Mean ( 14 / 28 ) & 0.488035714285714 & 0.0022709292516607 & 214.905732500834 \tabularnewline
Trimmed Mean ( 15 / 28 ) & 0.488333333333333 & 0.00220776217842366 & 221.189283024136 \tabularnewline
Trimmed Mean ( 16 / 28 ) & 0.488461538461538 & 0.00218635242054746 & 223.413907964219 \tabularnewline
Trimmed Mean ( 17 / 28 ) & 0.4886 & 0.00215728476354431 & 226.488411848446 \tabularnewline
Trimmed Mean ( 18 / 28 ) & 0.48875 & 0.00211849756074762 & 230.705953622868 \tabularnewline
Trimmed Mean ( 19 / 28 ) & 0.488695652173913 & 0.00212208756147515 & 230.290050724486 \tabularnewline
Trimmed Mean ( 20 / 28 ) & 0.488636363636364 & 0.00212184124366307 & 230.288842341852 \tabularnewline
Trimmed Mean ( 21 / 28 ) & 0.488571428571429 & 0.00211656342139198 & 230.832406737009 \tabularnewline
Trimmed Mean ( 22 / 28 ) & 0.4885 & 0.00210463469026983 & 232.106789011147 \tabularnewline
Trimmed Mean ( 23 / 28 ) & 0.488421052631579 & 0.00208381679399488 & 234.387712988544 \tabularnewline
Trimmed Mean ( 24 / 28 ) & 0.488333333333333 & 0.00205093861593886 & 238.102364223996 \tabularnewline
Trimmed Mean ( 25 / 28 ) & 0.488235294117647 & 0.00200136264788744 & 243.95143710362 \tabularnewline
Trimmed Mean ( 26 / 28 ) & 0.488125 & 0.00192801397900166 & 253.175031569405 \tabularnewline
Trimmed Mean ( 27 / 28 ) & 0.488333333333333 & 0.00192284112907511 & 253.964472648982 \tabularnewline
Trimmed Mean ( 28 / 28 ) & 0.488571428571429 & 0.00190476190476191 & 256.5 \tabularnewline
Median & 0.49 &  &  \tabularnewline
Midrange & 0.475 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 0.491111111111112 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 0.491111111111112 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 0.491111111111112 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 0.491111111111112 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 0.491111111111112 &  &  \tabularnewline
Midmean - Closest Observation & 0.491111111111112 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 0.491111111111112 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 0.491111111111112 &  &  \tabularnewline
Number of observations & 84 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232491&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]0.48452380952381[/C][C]0.00312947218446191[/C][C]154.82604764136[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]0.483664186708798[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]0.482783943218583[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]0.485361917002344[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 28 )[/C][C]0.484404761904762[/C][C]0.00311083826339153[/C][C]155.71518699807[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 28 )[/C][C]0.484642857142857[/C][C]0.00305545620788588[/C][C]158.615546801828[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 28 )[/C][C]0.484642857142857[/C][C]0.00305545620788588[/C][C]158.615546801828[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 28 )[/C][C]0.484642857142857[/C][C]0.00305545620788588[/C][C]158.615546801828[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 28 )[/C][C]0.484642857142857[/C][C]0.00305545620788588[/C][C]158.615546801828[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 28 )[/C][C]0.485357142857143[/C][C]0.00291122438853032[/C][C]166.71924870146[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 28 )[/C][C]0.485357142857143[/C][C]0.00291122438853032[/C][C]166.71924870146[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 28 )[/C][C]0.485357142857143[/C][C]0.00291122438853032[/C][C]166.71924870146[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 28 )[/C][C]0.485357142857143[/C][C]0.00291122438853032[/C][C]166.71924870146[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 28 )[/C][C]0.485357142857143[/C][C]0.00291122438853032[/C][C]166.71924870146[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 28 )[/C][C]0.485357142857143[/C][C]0.00291122438853032[/C][C]166.71924870146[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 28 )[/C][C]0.485357142857143[/C][C]0.00246284162831411[/C][C]197.072007098315[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 28 )[/C][C]0.485357142857143[/C][C]0.00246284162831411[/C][C]197.072007098315[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 28 )[/C][C]0.485357142857143[/C][C]0.00246284162831411[/C][C]197.072007098315[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 28 )[/C][C]0.487142857142857[/C][C]0.00217276885894107[/C][C]224.203718282429[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 28 )[/C][C]0.487142857142857[/C][C]0.00217276885894107[/C][C]224.203718282429[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 28 )[/C][C]0.487142857142857[/C][C]0.00217276885894107[/C][C]224.203718282429[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 28 )[/C][C]0.489285714285714[/C][C]0.00187676644109056[/C][C]260.706768606432[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 28 )[/C][C]0.489285714285714[/C][C]0.00187676644109056[/C][C]260.706768606432[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 28 )[/C][C]0.489285714285714[/C][C]0.00187676644109056[/C][C]260.706768606432[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 28 )[/C][C]0.489285714285714[/C][C]0.00187676644109056[/C][C]260.706768606432[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 28 )[/C][C]0.489285714285714[/C][C]0.00187676644109056[/C][C]260.706768606432[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 28 )[/C][C]0.489285714285714[/C][C]0.00187676644109056[/C][C]260.706768606432[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 28 )[/C][C]0.489285714285714[/C][C]0.00187676644109056[/C][C]260.706768606432[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 28 )[/C][C]0.489285714285714[/C][C]0.00187676644109056[/C][C]260.706768606432[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 28 )[/C][C]0.486190476190476[/C][C]0.00149492123475739[/C][C]325.228155762587[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 28 )[/C][C]0.486190476190476[/C][C]0.00149492123475739[/C][C]325.228155762587[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 28 )[/C][C]0.486190476190476[/C][C]0.00149492123475739[/C][C]325.228155762587[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 28 )[/C][C]0.484756097560976[/C][C]0.00305635914417632[/C][C]158.605737969193[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 28 )[/C][C]0.485125[/C][C]0.0029925738784066[/C][C]162.109615238072[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 28 )[/C][C]0.485384615384615[/C][C]0.00295200991876999[/C][C]164.425130247144[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 28 )[/C][C]0.485657894736842[/C][C]0.00290393276174992[/C][C]167.241439310799[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 28 )[/C][C]0.485945945945946[/C][C]0.00284694682368966[/C][C]170.690208156455[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 28 )[/C][C]0.48625[/C][C]0.00277929340498371[/C][C]174.954540290017[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 28 )[/C][C]0.486428571428571[/C][C]0.00273793770363273[/C][C]177.66239559913[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 28 )[/C][C]0.486617647058824[/C][C]0.00268813846668122[/C][C]181.024025767394[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 28 )[/C][C]0.486818181818182[/C][C]0.00262815215034548[/C][C]185.232115178031[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 28 )[/C][C]0.48703125[/C][C]0.00255572504991323[/C][C]190.564806654979[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 28 )[/C][C]0.487258064516129[/C][C]0.00246787240904482[/C][C]197.440541387113[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 28 )[/C][C]0.4875[/C][C]0.0023605156000978[/C][C]206.52267664734[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 28 )[/C][C]0.487758620689655[/C][C]0.00232093895210008[/C][C]210.155730398816[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 28 )[/C][C]0.488035714285714[/C][C]0.0022709292516607[/C][C]214.905732500834[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 28 )[/C][C]0.488333333333333[/C][C]0.00220776217842366[/C][C]221.189283024136[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 28 )[/C][C]0.488461538461538[/C][C]0.00218635242054746[/C][C]223.413907964219[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 28 )[/C][C]0.4886[/C][C]0.00215728476354431[/C][C]226.488411848446[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 28 )[/C][C]0.48875[/C][C]0.00211849756074762[/C][C]230.705953622868[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 28 )[/C][C]0.488695652173913[/C][C]0.00212208756147515[/C][C]230.290050724486[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 28 )[/C][C]0.488636363636364[/C][C]0.00212184124366307[/C][C]230.288842341852[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 28 )[/C][C]0.488571428571429[/C][C]0.00211656342139198[/C][C]230.832406737009[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 28 )[/C][C]0.4885[/C][C]0.00210463469026983[/C][C]232.106789011147[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 28 )[/C][C]0.488421052631579[/C][C]0.00208381679399488[/C][C]234.387712988544[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 28 )[/C][C]0.488333333333333[/C][C]0.00205093861593886[/C][C]238.102364223996[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 28 )[/C][C]0.488235294117647[/C][C]0.00200136264788744[/C][C]243.95143710362[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 28 )[/C][C]0.488125[/C][C]0.00192801397900166[/C][C]253.175031569405[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 28 )[/C][C]0.488333333333333[/C][C]0.00192284112907511[/C][C]253.964472648982[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 28 )[/C][C]0.488571428571429[/C][C]0.00190476190476191[/C][C]256.5[/C][/ROW]
[ROW][C]Median[/C][C]0.49[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]0.475[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]0.491111111111112[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]0.491111111111112[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]0.491111111111112[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]0.491111111111112[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]0.491111111111112[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]0.491111111111112[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]0.491111111111112[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]0.491111111111112[/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=232491&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232491&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 Mean0.484523809523810.00312947218446191154.82604764136
Geometric Mean0.483664186708798
Harmonic Mean0.482783943218583
Quadratic Mean0.485361917002344
Winsorized Mean ( 1 / 28 )0.4844047619047620.00311083826339153155.71518699807
Winsorized Mean ( 2 / 28 )0.4846428571428570.00305545620788588158.615546801828
Winsorized Mean ( 3 / 28 )0.4846428571428570.00305545620788588158.615546801828
Winsorized Mean ( 4 / 28 )0.4846428571428570.00305545620788588158.615546801828
Winsorized Mean ( 5 / 28 )0.4846428571428570.00305545620788588158.615546801828
Winsorized Mean ( 6 / 28 )0.4853571428571430.00291122438853032166.71924870146
Winsorized Mean ( 7 / 28 )0.4853571428571430.00291122438853032166.71924870146
Winsorized Mean ( 8 / 28 )0.4853571428571430.00291122438853032166.71924870146
Winsorized Mean ( 9 / 28 )0.4853571428571430.00291122438853032166.71924870146
Winsorized Mean ( 10 / 28 )0.4853571428571430.00291122438853032166.71924870146
Winsorized Mean ( 11 / 28 )0.4853571428571430.00291122438853032166.71924870146
Winsorized Mean ( 12 / 28 )0.4853571428571430.00246284162831411197.072007098315
Winsorized Mean ( 13 / 28 )0.4853571428571430.00246284162831411197.072007098315
Winsorized Mean ( 14 / 28 )0.4853571428571430.00246284162831411197.072007098315
Winsorized Mean ( 15 / 28 )0.4871428571428570.00217276885894107224.203718282429
Winsorized Mean ( 16 / 28 )0.4871428571428570.00217276885894107224.203718282429
Winsorized Mean ( 17 / 28 )0.4871428571428570.00217276885894107224.203718282429
Winsorized Mean ( 18 / 28 )0.4892857142857140.00187676644109056260.706768606432
Winsorized Mean ( 19 / 28 )0.4892857142857140.00187676644109056260.706768606432
Winsorized Mean ( 20 / 28 )0.4892857142857140.00187676644109056260.706768606432
Winsorized Mean ( 21 / 28 )0.4892857142857140.00187676644109056260.706768606432
Winsorized Mean ( 22 / 28 )0.4892857142857140.00187676644109056260.706768606432
Winsorized Mean ( 23 / 28 )0.4892857142857140.00187676644109056260.706768606432
Winsorized Mean ( 24 / 28 )0.4892857142857140.00187676644109056260.706768606432
Winsorized Mean ( 25 / 28 )0.4892857142857140.00187676644109056260.706768606432
Winsorized Mean ( 26 / 28 )0.4861904761904760.00149492123475739325.228155762587
Winsorized Mean ( 27 / 28 )0.4861904761904760.00149492123475739325.228155762587
Winsorized Mean ( 28 / 28 )0.4861904761904760.00149492123475739325.228155762587
Trimmed Mean ( 1 / 28 )0.4847560975609760.00305635914417632158.605737969193
Trimmed Mean ( 2 / 28 )0.4851250.0029925738784066162.109615238072
Trimmed Mean ( 3 / 28 )0.4853846153846150.00295200991876999164.425130247144
Trimmed Mean ( 4 / 28 )0.4856578947368420.00290393276174992167.241439310799
Trimmed Mean ( 5 / 28 )0.4859459459459460.00284694682368966170.690208156455
Trimmed Mean ( 6 / 28 )0.486250.00277929340498371174.954540290017
Trimmed Mean ( 7 / 28 )0.4864285714285710.00273793770363273177.66239559913
Trimmed Mean ( 8 / 28 )0.4866176470588240.00268813846668122181.024025767394
Trimmed Mean ( 9 / 28 )0.4868181818181820.00262815215034548185.232115178031
Trimmed Mean ( 10 / 28 )0.487031250.00255572504991323190.564806654979
Trimmed Mean ( 11 / 28 )0.4872580645161290.00246787240904482197.440541387113
Trimmed Mean ( 12 / 28 )0.48750.0023605156000978206.52267664734
Trimmed Mean ( 13 / 28 )0.4877586206896550.00232093895210008210.155730398816
Trimmed Mean ( 14 / 28 )0.4880357142857140.0022709292516607214.905732500834
Trimmed Mean ( 15 / 28 )0.4883333333333330.00220776217842366221.189283024136
Trimmed Mean ( 16 / 28 )0.4884615384615380.00218635242054746223.413907964219
Trimmed Mean ( 17 / 28 )0.48860.00215728476354431226.488411848446
Trimmed Mean ( 18 / 28 )0.488750.00211849756074762230.705953622868
Trimmed Mean ( 19 / 28 )0.4886956521739130.00212208756147515230.290050724486
Trimmed Mean ( 20 / 28 )0.4886363636363640.00212184124366307230.288842341852
Trimmed Mean ( 21 / 28 )0.4885714285714290.00211656342139198230.832406737009
Trimmed Mean ( 22 / 28 )0.48850.00210463469026983232.106789011147
Trimmed Mean ( 23 / 28 )0.4884210526315790.00208381679399488234.387712988544
Trimmed Mean ( 24 / 28 )0.4883333333333330.00205093861593886238.102364223996
Trimmed Mean ( 25 / 28 )0.4882352941176470.00200136264788744243.95143710362
Trimmed Mean ( 26 / 28 )0.4881250.00192801397900166253.175031569405
Trimmed Mean ( 27 / 28 )0.4883333333333330.00192284112907511253.964472648982
Trimmed Mean ( 28 / 28 )0.4885714285714290.00190476190476191256.5
Median0.49
Midrange0.475
Midmean - Weighted Average at Xnp0.491111111111112
Midmean - Weighted Average at X(n+1)p0.491111111111112
Midmean - Empirical Distribution Function0.491111111111112
Midmean - Empirical Distribution Function - Averaging0.491111111111112
Midmean - Empirical Distribution Function - Interpolation0.491111111111112
Midmean - Closest Observation0.491111111111112
Midmean - True Basic - Statistics Graphics Toolkit0.491111111111112
Midmean - MS Excel (old versions)0.491111111111112
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')