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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 computationThu, 06 Aug 2015 16:46:24 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Aug/06/t1438876130zlvwypsgfs1u8wo.htm/, Retrieved Thu, 16 May 2024 20:06:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279883, Retrieved Thu, 16 May 2024 20:06:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact137
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2015-08-06 14:45:14] [74be16979710d4c4e7c6647856088456]
- RMPD  [Histogram] [] [2015-08-06 14:51:09] [74be16979710d4c4e7c6647856088456]
- RMP     [Harrell-Davis Quantiles] [] [2015-08-06 15:14:25] [74be16979710d4c4e7c6647856088456]
- R P       [Harrell-Davis Quantiles] [] [2015-08-06 15:24:21] [74be16979710d4c4e7c6647856088456]
- RMP           [Central Tendency] [] [2015-08-06 15:46:24] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
1684800.00
1622400.00
1716000.00
1372800.00
1778400.00
1747200.00
1872000.00
1934400.00
2152800.00
1872000.00
1778400.00
2215200.00
1872000.00
1404000.00
1653600.00
1248000.00
1747200.00
1435200.00
1903200.00
1716000.00
1809600.00
2028000.00
1996800.00
2371200.00
1716000.00
1435200.00
1591200.00
1154400.00
1653600.00
1279200.00
1809600.00
1716000.00
1528800.00
2184000.00
1965600.00
2246400.00
1684800.00
1560000.00
1404000.00
1154400.00
1528800.00
1372800.00
1872000.00
1809600.00
1560000.00
2090400.00
1934400.00
2496000.00
1996800.00
1216800.00
1216800.00
1216800.00
1435200.00
1435200.00
1934400.00
1778400.00
1591200.00
1996800.00
1840800.00
2652000.00
2090400.00
1216800.00
1279200.00
1060800.00
1466400.00
1684800.00
2121600.00
2090400.00
1684800.00
1965600.00
1747200.00
2496000.00
1903200.00
1528800.00
1372800.00
1029600.00
1528800.00
1840800.00
2152800.00
2028000.00
1497600.00
2152800.00
1684800.00
2589600.00
2152800.00
1560000.00
1435200.00
967200.00
1528800.00
1466400.00
2215200.00
2215200.00
1684800.00
2184000.00
1622400.00
2527200.00
2152800.00
1591200.00
1216800.00
842400.00
1653600.00
1591200.00
2090400.00
2402400.00
1778400.00
1996800.00
1497600.00
2589600.00




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279883&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279883&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279883&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'Sir Maurice George Kendall' @ kendall.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean1751533.3333333336526.962970984847.9517920700022
Geometric Mean1709448.79339028
Harmonic Mean1665538.78883398
Quadratic Mean1791823.22044708
Winsorized Mean ( 1 / 36 )1752111.1111111136146.084829241948.4730537038321
Winsorized Mean ( 2 / 36 )1753266.6666666735920.014408385948.8102996489152
Winsorized Mean ( 3 / 36 )175240035393.288344163349.5122121165944
Winsorized Mean ( 4 / 36 )1754711.1111111134560.894366421550.771577046222
Winsorized Mean ( 5 / 36 )1754711.1111111134560.894366421550.771577046222
Winsorized Mean ( 6 / 36 )1752977.7777777833015.884586854553.094981391949
Winsorized Mean ( 7 / 36 )1750955.5555555632650.464896644353.6272779299848
Winsorized Mean ( 8 / 36 )1741711.1111111131126.553873874855.9557963971389
Winsorized Mean ( 9 / 36 )1739111.1111111130741.346305553656.5723795511497
Winsorized Mean ( 10 / 36 )1739111.1111111130741.346305553656.5723795511497
Winsorized Mean ( 11 / 36 )1742288.8888888930246.29752388457.6033773228968
Winsorized Mean ( 12 / 36 )1742288.8888888929226.495626632959.6133354866265
Winsorized Mean ( 13 / 36 )1742288.8888888929226.495626632959.6133354866265
Winsorized Mean ( 14 / 36 )1750377.7777777826962.067803960764.9200124598993
Winsorized Mean ( 15 / 36 )1750377.7777777826962.067803960764.9200124598993
Winsorized Mean ( 16 / 36 )1750377.7777777826962.067803960764.9200124598993
Winsorized Mean ( 17 / 36 )1755288.8888888926334.376904454966.6538986381696
Winsorized Mean ( 18 / 36 )1755288.8888888926334.376904454966.6538986381696
Winsorized Mean ( 19 / 36 )1755288.8888888924897.318702964370.5011214191471
Winsorized Mean ( 20 / 36 )1749511.1111111124118.232674482772.538943243636
Winsorized Mean ( 21 / 36 )1749511.1111111124118.232674482772.538943243636
Winsorized Mean ( 22 / 36 )1749511.1111111124118.232674482772.538943243636
Winsorized Mean ( 23 / 36 )1749511.1111111124118.232674482772.538943243636
Winsorized Mean ( 24 / 36 )1742577.7777777821500.235830423381.0492401814493
Winsorized Mean ( 25 / 36 )1742577.7777777821500.235830423381.0492401814493
Winsorized Mean ( 26 / 36 )1742577.7777777819692.507326738888.489380700226
Winsorized Mean ( 27 / 36 )1742577.7777777819692.507326738888.489380700226
Winsorized Mean ( 28 / 36 )1750666.6666666718775.056916064393.2442801368428
Winsorized Mean ( 29 / 36 )1750666.6666666718775.056916064393.2442801368428
Winsorized Mean ( 30 / 36 )174200017732.902344093998.2354702122514
Winsorized Mean ( 31 / 36 )174200017732.902344093998.2354702122514
Winsorized Mean ( 32 / 36 )1732755.5555555616664.8167889966103.976874003179
Winsorized Mean ( 33 / 36 )1742288.8888888915598.1749634345111.698252710538
Winsorized Mean ( 34 / 36 )1742288.8888888915598.1749634345111.698252710538
Winsorized Mean ( 35 / 36 )1732177.7777777814456.4270132407119.820601327788
Winsorized Mean ( 36 / 36 )1742577.7777777813324.4096132862130.780862218481
Trimmed Mean ( 1 / 36 )1751615.0943396235187.689150202449.7792022335615
Trimmed Mean ( 2 / 36 )175110034109.986295050751.3368719897165
Trimmed Mean ( 3 / 36 )1749952.9411764733030.372376525552.9801154291603
Trimmed Mean ( 4 / 36 )174907232035.990306358454.5970948072377
Trimmed Mean ( 5 / 36 )1747518.3673469431191.776826743656.024970204603
Trimmed Mean ( 6 / 36 )174590030233.698521943857.7468217701785
Trimmed Mean ( 7 / 36 )1744544.6808510629533.988641120159.0690509856206
Trimmed Mean ( 8 / 36 )1743469.5652173928820.47442620960.4941313399025
Trimmed Mean ( 9 / 36 )1743733.3333333328318.72811493261.5752701271174
Trimmed Mean ( 10 / 36 )1744363.6363636427815.9345087762.7109484965771
Trimmed Mean ( 11 / 36 )1745023.2558139527238.622779587164.0642983286839
Trimmed Mean ( 12 / 36 )1745342.8571428626660.283208590165.4660283796421
Trimmed Mean ( 13 / 36 )1745678.0487804926161.011133674866.7282330893331
Trimmed Mean ( 14 / 36 )174603025581.951484829168.2524162019245
Trimmed Mean ( 15 / 36 )174560025256.790266093969.1140870082526
Trimmed Mean ( 16 / 36 )1745147.3684210524873.197402635470.161762485596
Trimmed Mean ( 17 / 36 )1744670.2702702724420.771692971.4420613816027
Trimmed Mean ( 18 / 36 )1743733.3333333323977.214013773372.7246014625251
Trimmed Mean ( 19 / 36 )1742742.8571428623450.315617773774.3163923909824
Trimmed Mean ( 20 / 36 )1741694.1176470623037.123329169775.6038022959975
Trimmed Mean ( 21 / 36 )1741054.5454545522657.627106908276.8418748017838
Trimmed Mean ( 22 / 36 )174037522197.761711487978.4031751768607
Trimmed Mean ( 23 / 36 )1739651.6129032321639.860754252480.3910724130407
Trimmed Mean ( 24 / 36 )173888020960.667604842182.9591896967204
Trimmed Mean ( 25 / 36 )1738593.1034482820559.748978342284.5629538220395
Trimmed Mean ( 26 / 36 )1738285.7142857120061.64451646586.6472194170857
Trimmed Mean ( 27 / 36 )1737955.5555555619736.570267313688.0576276433317
Trimmed Mean ( 28 / 36 )173760019321.673292536889.930099411792
Trimmed Mean ( 29 / 36 )173659218943.853419179291.6704728216401
Trimmed Mean ( 30 / 36 )173550018454.077563601194.0442562907133
Trimmed Mean ( 31 / 36 )1734991.3043478318025.809683473396.2503951175366
Trimmed Mean ( 32 / 36 )1734436.3636363617461.766476717499.3276577114332
Trimmed Mean ( 33 / 36 )1734571.4285714316948.0898665437102.346131170543
Trimmed Mean ( 34 / 36 )173394016490.1061245827105.150323891192
Trimmed Mean ( 35 / 36 )1733242.1052631615861.7554629587109.271770663136
Trimmed Mean ( 36 / 36 )1733333.3333333315297.1664561546113.310745378988
Median1716000
Midrange1747200
Midmean - Weighted Average at Xnp1738285.71428571
Midmean - Weighted Average at X(n+1)p1738285.71428571
Midmean - Empirical Distribution Function1738285.71428571
Midmean - Empirical Distribution Function - Averaging1738285.71428571
Midmean - Empirical Distribution Function - Interpolation1738285.71428571
Midmean - Closest Observation1738285.71428571
Midmean - True Basic - Statistics Graphics Toolkit1738285.71428571
Midmean - MS Excel (old versions)1738285.71428571
Number of observations108

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 1751533.33333333 & 36526.9629709848 & 47.9517920700022 \tabularnewline
Geometric Mean & 1709448.79339028 &  &  \tabularnewline
Harmonic Mean & 1665538.78883398 &  &  \tabularnewline
Quadratic Mean & 1791823.22044708 &  &  \tabularnewline
Winsorized Mean ( 1 / 36 ) & 1752111.11111111 & 36146.0848292419 & 48.4730537038321 \tabularnewline
Winsorized Mean ( 2 / 36 ) & 1753266.66666667 & 35920.0144083859 & 48.8102996489152 \tabularnewline
Winsorized Mean ( 3 / 36 ) & 1752400 & 35393.2883441633 & 49.5122121165944 \tabularnewline
Winsorized Mean ( 4 / 36 ) & 1754711.11111111 & 34560.8943664215 & 50.771577046222 \tabularnewline
Winsorized Mean ( 5 / 36 ) & 1754711.11111111 & 34560.8943664215 & 50.771577046222 \tabularnewline
Winsorized Mean ( 6 / 36 ) & 1752977.77777778 & 33015.8845868545 & 53.094981391949 \tabularnewline
Winsorized Mean ( 7 / 36 ) & 1750955.55555556 & 32650.4648966443 & 53.6272779299848 \tabularnewline
Winsorized Mean ( 8 / 36 ) & 1741711.11111111 & 31126.5538738748 & 55.9557963971389 \tabularnewline
Winsorized Mean ( 9 / 36 ) & 1739111.11111111 & 30741.3463055536 & 56.5723795511497 \tabularnewline
Winsorized Mean ( 10 / 36 ) & 1739111.11111111 & 30741.3463055536 & 56.5723795511497 \tabularnewline
Winsorized Mean ( 11 / 36 ) & 1742288.88888889 & 30246.297523884 & 57.6033773228968 \tabularnewline
Winsorized Mean ( 12 / 36 ) & 1742288.88888889 & 29226.4956266329 & 59.6133354866265 \tabularnewline
Winsorized Mean ( 13 / 36 ) & 1742288.88888889 & 29226.4956266329 & 59.6133354866265 \tabularnewline
Winsorized Mean ( 14 / 36 ) & 1750377.77777778 & 26962.0678039607 & 64.9200124598993 \tabularnewline
Winsorized Mean ( 15 / 36 ) & 1750377.77777778 & 26962.0678039607 & 64.9200124598993 \tabularnewline
Winsorized Mean ( 16 / 36 ) & 1750377.77777778 & 26962.0678039607 & 64.9200124598993 \tabularnewline
Winsorized Mean ( 17 / 36 ) & 1755288.88888889 & 26334.3769044549 & 66.6538986381696 \tabularnewline
Winsorized Mean ( 18 / 36 ) & 1755288.88888889 & 26334.3769044549 & 66.6538986381696 \tabularnewline
Winsorized Mean ( 19 / 36 ) & 1755288.88888889 & 24897.3187029643 & 70.5011214191471 \tabularnewline
Winsorized Mean ( 20 / 36 ) & 1749511.11111111 & 24118.2326744827 & 72.538943243636 \tabularnewline
Winsorized Mean ( 21 / 36 ) & 1749511.11111111 & 24118.2326744827 & 72.538943243636 \tabularnewline
Winsorized Mean ( 22 / 36 ) & 1749511.11111111 & 24118.2326744827 & 72.538943243636 \tabularnewline
Winsorized Mean ( 23 / 36 ) & 1749511.11111111 & 24118.2326744827 & 72.538943243636 \tabularnewline
Winsorized Mean ( 24 / 36 ) & 1742577.77777778 & 21500.2358304233 & 81.0492401814493 \tabularnewline
Winsorized Mean ( 25 / 36 ) & 1742577.77777778 & 21500.2358304233 & 81.0492401814493 \tabularnewline
Winsorized Mean ( 26 / 36 ) & 1742577.77777778 & 19692.5073267388 & 88.489380700226 \tabularnewline
Winsorized Mean ( 27 / 36 ) & 1742577.77777778 & 19692.5073267388 & 88.489380700226 \tabularnewline
Winsorized Mean ( 28 / 36 ) & 1750666.66666667 & 18775.0569160643 & 93.2442801368428 \tabularnewline
Winsorized Mean ( 29 / 36 ) & 1750666.66666667 & 18775.0569160643 & 93.2442801368428 \tabularnewline
Winsorized Mean ( 30 / 36 ) & 1742000 & 17732.9023440939 & 98.2354702122514 \tabularnewline
Winsorized Mean ( 31 / 36 ) & 1742000 & 17732.9023440939 & 98.2354702122514 \tabularnewline
Winsorized Mean ( 32 / 36 ) & 1732755.55555556 & 16664.8167889966 & 103.976874003179 \tabularnewline
Winsorized Mean ( 33 / 36 ) & 1742288.88888889 & 15598.1749634345 & 111.698252710538 \tabularnewline
Winsorized Mean ( 34 / 36 ) & 1742288.88888889 & 15598.1749634345 & 111.698252710538 \tabularnewline
Winsorized Mean ( 35 / 36 ) & 1732177.77777778 & 14456.4270132407 & 119.820601327788 \tabularnewline
Winsorized Mean ( 36 / 36 ) & 1742577.77777778 & 13324.4096132862 & 130.780862218481 \tabularnewline
Trimmed Mean ( 1 / 36 ) & 1751615.09433962 & 35187.6891502024 & 49.7792022335615 \tabularnewline
Trimmed Mean ( 2 / 36 ) & 1751100 & 34109.9862950507 & 51.3368719897165 \tabularnewline
Trimmed Mean ( 3 / 36 ) & 1749952.94117647 & 33030.3723765255 & 52.9801154291603 \tabularnewline
Trimmed Mean ( 4 / 36 ) & 1749072 & 32035.9903063584 & 54.5970948072377 \tabularnewline
Trimmed Mean ( 5 / 36 ) & 1747518.36734694 & 31191.7768267436 & 56.024970204603 \tabularnewline
Trimmed Mean ( 6 / 36 ) & 1745900 & 30233.6985219438 & 57.7468217701785 \tabularnewline
Trimmed Mean ( 7 / 36 ) & 1744544.68085106 & 29533.9886411201 & 59.0690509856206 \tabularnewline
Trimmed Mean ( 8 / 36 ) & 1743469.56521739 & 28820.474426209 & 60.4941313399025 \tabularnewline
Trimmed Mean ( 9 / 36 ) & 1743733.33333333 & 28318.728114932 & 61.5752701271174 \tabularnewline
Trimmed Mean ( 10 / 36 ) & 1744363.63636364 & 27815.93450877 & 62.7109484965771 \tabularnewline
Trimmed Mean ( 11 / 36 ) & 1745023.25581395 & 27238.6227795871 & 64.0642983286839 \tabularnewline
Trimmed Mean ( 12 / 36 ) & 1745342.85714286 & 26660.2832085901 & 65.4660283796421 \tabularnewline
Trimmed Mean ( 13 / 36 ) & 1745678.04878049 & 26161.0111336748 & 66.7282330893331 \tabularnewline
Trimmed Mean ( 14 / 36 ) & 1746030 & 25581.9514848291 & 68.2524162019245 \tabularnewline
Trimmed Mean ( 15 / 36 ) & 1745600 & 25256.7902660939 & 69.1140870082526 \tabularnewline
Trimmed Mean ( 16 / 36 ) & 1745147.36842105 & 24873.1974026354 & 70.161762485596 \tabularnewline
Trimmed Mean ( 17 / 36 ) & 1744670.27027027 & 24420.7716929 & 71.4420613816027 \tabularnewline
Trimmed Mean ( 18 / 36 ) & 1743733.33333333 & 23977.2140137733 & 72.7246014625251 \tabularnewline
Trimmed Mean ( 19 / 36 ) & 1742742.85714286 & 23450.3156177737 & 74.3163923909824 \tabularnewline
Trimmed Mean ( 20 / 36 ) & 1741694.11764706 & 23037.1233291697 & 75.6038022959975 \tabularnewline
Trimmed Mean ( 21 / 36 ) & 1741054.54545455 & 22657.6271069082 & 76.8418748017838 \tabularnewline
Trimmed Mean ( 22 / 36 ) & 1740375 & 22197.7617114879 & 78.4031751768607 \tabularnewline
Trimmed Mean ( 23 / 36 ) & 1739651.61290323 & 21639.8607542524 & 80.3910724130407 \tabularnewline
Trimmed Mean ( 24 / 36 ) & 1738880 & 20960.6676048421 & 82.9591896967204 \tabularnewline
Trimmed Mean ( 25 / 36 ) & 1738593.10344828 & 20559.7489783422 & 84.5629538220395 \tabularnewline
Trimmed Mean ( 26 / 36 ) & 1738285.71428571 & 20061.644516465 & 86.6472194170857 \tabularnewline
Trimmed Mean ( 27 / 36 ) & 1737955.55555556 & 19736.5702673136 & 88.0576276433317 \tabularnewline
Trimmed Mean ( 28 / 36 ) & 1737600 & 19321.6732925368 & 89.930099411792 \tabularnewline
Trimmed Mean ( 29 / 36 ) & 1736592 & 18943.8534191792 & 91.6704728216401 \tabularnewline
Trimmed Mean ( 30 / 36 ) & 1735500 & 18454.0775636011 & 94.0442562907133 \tabularnewline
Trimmed Mean ( 31 / 36 ) & 1734991.30434783 & 18025.8096834733 & 96.2503951175366 \tabularnewline
Trimmed Mean ( 32 / 36 ) & 1734436.36363636 & 17461.7664767174 & 99.3276577114332 \tabularnewline
Trimmed Mean ( 33 / 36 ) & 1734571.42857143 & 16948.0898665437 & 102.346131170543 \tabularnewline
Trimmed Mean ( 34 / 36 ) & 1733940 & 16490.1061245827 & 105.150323891192 \tabularnewline
Trimmed Mean ( 35 / 36 ) & 1733242.10526316 & 15861.7554629587 & 109.271770663136 \tabularnewline
Trimmed Mean ( 36 / 36 ) & 1733333.33333333 & 15297.1664561546 & 113.310745378988 \tabularnewline
Median & 1716000 &  &  \tabularnewline
Midrange & 1747200 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 1738285.71428571 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 1738285.71428571 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 1738285.71428571 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 1738285.71428571 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 1738285.71428571 &  &  \tabularnewline
Midmean - Closest Observation & 1738285.71428571 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 1738285.71428571 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 1738285.71428571 &  &  \tabularnewline
Number of observations & 108 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279883&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]1751533.33333333[/C][C]36526.9629709848[/C][C]47.9517920700022[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]1709448.79339028[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]1665538.78883398[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]1791823.22044708[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 36 )[/C][C]1752111.11111111[/C][C]36146.0848292419[/C][C]48.4730537038321[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 36 )[/C][C]1753266.66666667[/C][C]35920.0144083859[/C][C]48.8102996489152[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 36 )[/C][C]1752400[/C][C]35393.2883441633[/C][C]49.5122121165944[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 36 )[/C][C]1754711.11111111[/C][C]34560.8943664215[/C][C]50.771577046222[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 36 )[/C][C]1754711.11111111[/C][C]34560.8943664215[/C][C]50.771577046222[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 36 )[/C][C]1752977.77777778[/C][C]33015.8845868545[/C][C]53.094981391949[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 36 )[/C][C]1750955.55555556[/C][C]32650.4648966443[/C][C]53.6272779299848[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 36 )[/C][C]1741711.11111111[/C][C]31126.5538738748[/C][C]55.9557963971389[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 36 )[/C][C]1739111.11111111[/C][C]30741.3463055536[/C][C]56.5723795511497[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 36 )[/C][C]1739111.11111111[/C][C]30741.3463055536[/C][C]56.5723795511497[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 36 )[/C][C]1742288.88888889[/C][C]30246.297523884[/C][C]57.6033773228968[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 36 )[/C][C]1742288.88888889[/C][C]29226.4956266329[/C][C]59.6133354866265[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 36 )[/C][C]1742288.88888889[/C][C]29226.4956266329[/C][C]59.6133354866265[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 36 )[/C][C]1750377.77777778[/C][C]26962.0678039607[/C][C]64.9200124598993[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 36 )[/C][C]1750377.77777778[/C][C]26962.0678039607[/C][C]64.9200124598993[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 36 )[/C][C]1750377.77777778[/C][C]26962.0678039607[/C][C]64.9200124598993[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 36 )[/C][C]1755288.88888889[/C][C]26334.3769044549[/C][C]66.6538986381696[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 36 )[/C][C]1755288.88888889[/C][C]26334.3769044549[/C][C]66.6538986381696[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 36 )[/C][C]1755288.88888889[/C][C]24897.3187029643[/C][C]70.5011214191471[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 36 )[/C][C]1749511.11111111[/C][C]24118.2326744827[/C][C]72.538943243636[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 36 )[/C][C]1749511.11111111[/C][C]24118.2326744827[/C][C]72.538943243636[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 36 )[/C][C]1749511.11111111[/C][C]24118.2326744827[/C][C]72.538943243636[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 36 )[/C][C]1749511.11111111[/C][C]24118.2326744827[/C][C]72.538943243636[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 36 )[/C][C]1742577.77777778[/C][C]21500.2358304233[/C][C]81.0492401814493[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 36 )[/C][C]1742577.77777778[/C][C]21500.2358304233[/C][C]81.0492401814493[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 36 )[/C][C]1742577.77777778[/C][C]19692.5073267388[/C][C]88.489380700226[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 36 )[/C][C]1742577.77777778[/C][C]19692.5073267388[/C][C]88.489380700226[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 36 )[/C][C]1750666.66666667[/C][C]18775.0569160643[/C][C]93.2442801368428[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 36 )[/C][C]1750666.66666667[/C][C]18775.0569160643[/C][C]93.2442801368428[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 36 )[/C][C]1742000[/C][C]17732.9023440939[/C][C]98.2354702122514[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 36 )[/C][C]1742000[/C][C]17732.9023440939[/C][C]98.2354702122514[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 36 )[/C][C]1732755.55555556[/C][C]16664.8167889966[/C][C]103.976874003179[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 36 )[/C][C]1742288.88888889[/C][C]15598.1749634345[/C][C]111.698252710538[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 36 )[/C][C]1742288.88888889[/C][C]15598.1749634345[/C][C]111.698252710538[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 36 )[/C][C]1732177.77777778[/C][C]14456.4270132407[/C][C]119.820601327788[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 36 )[/C][C]1742577.77777778[/C][C]13324.4096132862[/C][C]130.780862218481[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 36 )[/C][C]1751615.09433962[/C][C]35187.6891502024[/C][C]49.7792022335615[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 36 )[/C][C]1751100[/C][C]34109.9862950507[/C][C]51.3368719897165[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 36 )[/C][C]1749952.94117647[/C][C]33030.3723765255[/C][C]52.9801154291603[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 36 )[/C][C]1749072[/C][C]32035.9903063584[/C][C]54.5970948072377[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 36 )[/C][C]1747518.36734694[/C][C]31191.7768267436[/C][C]56.024970204603[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 36 )[/C][C]1745900[/C][C]30233.6985219438[/C][C]57.7468217701785[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 36 )[/C][C]1744544.68085106[/C][C]29533.9886411201[/C][C]59.0690509856206[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 36 )[/C][C]1743469.56521739[/C][C]28820.474426209[/C][C]60.4941313399025[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 36 )[/C][C]1743733.33333333[/C][C]28318.728114932[/C][C]61.5752701271174[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 36 )[/C][C]1744363.63636364[/C][C]27815.93450877[/C][C]62.7109484965771[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 36 )[/C][C]1745023.25581395[/C][C]27238.6227795871[/C][C]64.0642983286839[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 36 )[/C][C]1745342.85714286[/C][C]26660.2832085901[/C][C]65.4660283796421[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 36 )[/C][C]1745678.04878049[/C][C]26161.0111336748[/C][C]66.7282330893331[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 36 )[/C][C]1746030[/C][C]25581.9514848291[/C][C]68.2524162019245[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 36 )[/C][C]1745600[/C][C]25256.7902660939[/C][C]69.1140870082526[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 36 )[/C][C]1745147.36842105[/C][C]24873.1974026354[/C][C]70.161762485596[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 36 )[/C][C]1744670.27027027[/C][C]24420.7716929[/C][C]71.4420613816027[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 36 )[/C][C]1743733.33333333[/C][C]23977.2140137733[/C][C]72.7246014625251[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 36 )[/C][C]1742742.85714286[/C][C]23450.3156177737[/C][C]74.3163923909824[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 36 )[/C][C]1741694.11764706[/C][C]23037.1233291697[/C][C]75.6038022959975[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 36 )[/C][C]1741054.54545455[/C][C]22657.6271069082[/C][C]76.8418748017838[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 36 )[/C][C]1740375[/C][C]22197.7617114879[/C][C]78.4031751768607[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 36 )[/C][C]1739651.61290323[/C][C]21639.8607542524[/C][C]80.3910724130407[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 36 )[/C][C]1738880[/C][C]20960.6676048421[/C][C]82.9591896967204[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 36 )[/C][C]1738593.10344828[/C][C]20559.7489783422[/C][C]84.5629538220395[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 36 )[/C][C]1738285.71428571[/C][C]20061.644516465[/C][C]86.6472194170857[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 36 )[/C][C]1737955.55555556[/C][C]19736.5702673136[/C][C]88.0576276433317[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 36 )[/C][C]1737600[/C][C]19321.6732925368[/C][C]89.930099411792[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 36 )[/C][C]1736592[/C][C]18943.8534191792[/C][C]91.6704728216401[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 36 )[/C][C]1735500[/C][C]18454.0775636011[/C][C]94.0442562907133[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 36 )[/C][C]1734991.30434783[/C][C]18025.8096834733[/C][C]96.2503951175366[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 36 )[/C][C]1734436.36363636[/C][C]17461.7664767174[/C][C]99.3276577114332[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 36 )[/C][C]1734571.42857143[/C][C]16948.0898665437[/C][C]102.346131170543[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 36 )[/C][C]1733940[/C][C]16490.1061245827[/C][C]105.150323891192[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 36 )[/C][C]1733242.10526316[/C][C]15861.7554629587[/C][C]109.271770663136[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 36 )[/C][C]1733333.33333333[/C][C]15297.1664561546[/C][C]113.310745378988[/C][/ROW]
[ROW][C]Median[/C][C]1716000[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]1747200[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]1738285.71428571[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]1738285.71428571[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]1738285.71428571[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]1738285.71428571[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]1738285.71428571[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]1738285.71428571[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]1738285.71428571[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]1738285.71428571[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]108[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279883&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279883&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 Mean1751533.3333333336526.962970984847.9517920700022
Geometric Mean1709448.79339028
Harmonic Mean1665538.78883398
Quadratic Mean1791823.22044708
Winsorized Mean ( 1 / 36 )1752111.1111111136146.084829241948.4730537038321
Winsorized Mean ( 2 / 36 )1753266.6666666735920.014408385948.8102996489152
Winsorized Mean ( 3 / 36 )175240035393.288344163349.5122121165944
Winsorized Mean ( 4 / 36 )1754711.1111111134560.894366421550.771577046222
Winsorized Mean ( 5 / 36 )1754711.1111111134560.894366421550.771577046222
Winsorized Mean ( 6 / 36 )1752977.7777777833015.884586854553.094981391949
Winsorized Mean ( 7 / 36 )1750955.5555555632650.464896644353.6272779299848
Winsorized Mean ( 8 / 36 )1741711.1111111131126.553873874855.9557963971389
Winsorized Mean ( 9 / 36 )1739111.1111111130741.346305553656.5723795511497
Winsorized Mean ( 10 / 36 )1739111.1111111130741.346305553656.5723795511497
Winsorized Mean ( 11 / 36 )1742288.8888888930246.29752388457.6033773228968
Winsorized Mean ( 12 / 36 )1742288.8888888929226.495626632959.6133354866265
Winsorized Mean ( 13 / 36 )1742288.8888888929226.495626632959.6133354866265
Winsorized Mean ( 14 / 36 )1750377.7777777826962.067803960764.9200124598993
Winsorized Mean ( 15 / 36 )1750377.7777777826962.067803960764.9200124598993
Winsorized Mean ( 16 / 36 )1750377.7777777826962.067803960764.9200124598993
Winsorized Mean ( 17 / 36 )1755288.8888888926334.376904454966.6538986381696
Winsorized Mean ( 18 / 36 )1755288.8888888926334.376904454966.6538986381696
Winsorized Mean ( 19 / 36 )1755288.8888888924897.318702964370.5011214191471
Winsorized Mean ( 20 / 36 )1749511.1111111124118.232674482772.538943243636
Winsorized Mean ( 21 / 36 )1749511.1111111124118.232674482772.538943243636
Winsorized Mean ( 22 / 36 )1749511.1111111124118.232674482772.538943243636
Winsorized Mean ( 23 / 36 )1749511.1111111124118.232674482772.538943243636
Winsorized Mean ( 24 / 36 )1742577.7777777821500.235830423381.0492401814493
Winsorized Mean ( 25 / 36 )1742577.7777777821500.235830423381.0492401814493
Winsorized Mean ( 26 / 36 )1742577.7777777819692.507326738888.489380700226
Winsorized Mean ( 27 / 36 )1742577.7777777819692.507326738888.489380700226
Winsorized Mean ( 28 / 36 )1750666.6666666718775.056916064393.2442801368428
Winsorized Mean ( 29 / 36 )1750666.6666666718775.056916064393.2442801368428
Winsorized Mean ( 30 / 36 )174200017732.902344093998.2354702122514
Winsorized Mean ( 31 / 36 )174200017732.902344093998.2354702122514
Winsorized Mean ( 32 / 36 )1732755.5555555616664.8167889966103.976874003179
Winsorized Mean ( 33 / 36 )1742288.8888888915598.1749634345111.698252710538
Winsorized Mean ( 34 / 36 )1742288.8888888915598.1749634345111.698252710538
Winsorized Mean ( 35 / 36 )1732177.7777777814456.4270132407119.820601327788
Winsorized Mean ( 36 / 36 )1742577.7777777813324.4096132862130.780862218481
Trimmed Mean ( 1 / 36 )1751615.0943396235187.689150202449.7792022335615
Trimmed Mean ( 2 / 36 )175110034109.986295050751.3368719897165
Trimmed Mean ( 3 / 36 )1749952.9411764733030.372376525552.9801154291603
Trimmed Mean ( 4 / 36 )174907232035.990306358454.5970948072377
Trimmed Mean ( 5 / 36 )1747518.3673469431191.776826743656.024970204603
Trimmed Mean ( 6 / 36 )174590030233.698521943857.7468217701785
Trimmed Mean ( 7 / 36 )1744544.6808510629533.988641120159.0690509856206
Trimmed Mean ( 8 / 36 )1743469.5652173928820.47442620960.4941313399025
Trimmed Mean ( 9 / 36 )1743733.3333333328318.72811493261.5752701271174
Trimmed Mean ( 10 / 36 )1744363.6363636427815.9345087762.7109484965771
Trimmed Mean ( 11 / 36 )1745023.2558139527238.622779587164.0642983286839
Trimmed Mean ( 12 / 36 )1745342.8571428626660.283208590165.4660283796421
Trimmed Mean ( 13 / 36 )1745678.0487804926161.011133674866.7282330893331
Trimmed Mean ( 14 / 36 )174603025581.951484829168.2524162019245
Trimmed Mean ( 15 / 36 )174560025256.790266093969.1140870082526
Trimmed Mean ( 16 / 36 )1745147.3684210524873.197402635470.161762485596
Trimmed Mean ( 17 / 36 )1744670.2702702724420.771692971.4420613816027
Trimmed Mean ( 18 / 36 )1743733.3333333323977.214013773372.7246014625251
Trimmed Mean ( 19 / 36 )1742742.8571428623450.315617773774.3163923909824
Trimmed Mean ( 20 / 36 )1741694.1176470623037.123329169775.6038022959975
Trimmed Mean ( 21 / 36 )1741054.5454545522657.627106908276.8418748017838
Trimmed Mean ( 22 / 36 )174037522197.761711487978.4031751768607
Trimmed Mean ( 23 / 36 )1739651.6129032321639.860754252480.3910724130407
Trimmed Mean ( 24 / 36 )173888020960.667604842182.9591896967204
Trimmed Mean ( 25 / 36 )1738593.1034482820559.748978342284.5629538220395
Trimmed Mean ( 26 / 36 )1738285.7142857120061.64451646586.6472194170857
Trimmed Mean ( 27 / 36 )1737955.5555555619736.570267313688.0576276433317
Trimmed Mean ( 28 / 36 )173760019321.673292536889.930099411792
Trimmed Mean ( 29 / 36 )173659218943.853419179291.6704728216401
Trimmed Mean ( 30 / 36 )173550018454.077563601194.0442562907133
Trimmed Mean ( 31 / 36 )1734991.3043478318025.809683473396.2503951175366
Trimmed Mean ( 32 / 36 )1734436.3636363617461.766476717499.3276577114332
Trimmed Mean ( 33 / 36 )1734571.4285714316948.0898665437102.346131170543
Trimmed Mean ( 34 / 36 )173394016490.1061245827105.150323891192
Trimmed Mean ( 35 / 36 )1733242.1052631615861.7554629587109.271770663136
Trimmed Mean ( 36 / 36 )1733333.3333333315297.1664561546113.310745378988
Median1716000
Midrange1747200
Midmean - Weighted Average at Xnp1738285.71428571
Midmean - Weighted Average at X(n+1)p1738285.71428571
Midmean - Empirical Distribution Function1738285.71428571
Midmean - Empirical Distribution Function - Averaging1738285.71428571
Midmean - Empirical Distribution Function - Interpolation1738285.71428571
Midmean - Closest Observation1738285.71428571
Midmean - True Basic - Statistics Graphics Toolkit1738285.71428571
Midmean - MS Excel (old versions)1738285.71428571
Number of observations108



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')