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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationThu, 01 Feb 2018 11:20:23 +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/2018/Feb/01/t1517480470m99iy8b9xg9h2hh.htm/, Retrieved Sun, 28 Apr 2024 22:17:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=314612, Retrieved Sun, 28 Apr 2024 22:17:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact32
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [] [2018-02-01 10:20:23] [83f87fdc917ad7b84594769989a5eda8] [Current]
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Dataseries X:
1.72923686058208
0.122433126801145
0.523768788982079
-0.50175942601324
-1.86386120887019
0.0717422351702872
-0.380578531491989
-0.29851611788274
1.94316215667028
-1.24779901378139
1.35257277275093
2.84406850014719
1.12274878943606
-2.32540657982629
-2.89902363942181
0.246874012745119
-0.731094375584061
1.97769407549524
-0.089308186457892
-1.64931358279907
1.78988776616251
-0.655026882699021
-0.95518008982139
-0.501427837065876
-1.47468882156665
2.4255103110643
-0.388732570521789
-1.41970373897772
-0.435743764210552
0.588337253253952
-1.73087780677345
0.416192838768035
-0.135602934239543
1.5607508968729
-0.619488852927662
0.130061173484127
-0.485714783249833
1.19042117073251
0.504940688912012
-0.266725732456376
1.8987616014054
0.9835731579105
0.221023228988728
-0.176860990484583
-0.162198287814433
0.78911590880292
1.41209201053576
0.518161844628975
2.36462043434148
-1.24446105804486
1.09138861156198
0.422175612267996
-0.997989397904933
0.754650745534752
-1.44375392644115
0.568632265545353
1.35413305240232
-1.34288885715882
-0.0968579661829751
0.242767533935212
0.255744783559028
-0.243232899636027
0.461607264600104
0.0650797112167817
2.25999343044582
1.80462197944889
2.32548979115297
0.682758803307819
-0.335554613197298
-0.997929583796738
0.97507128242145
-1.17268516900173
-0.000337278483281606
-1.71460596672184
-1.34872342854985
-1.6521456119588
-1.48335049731373
0.925016701443022
-0.226525557050897
0.774905929042345
-0.339789522342372
0.89311055438168
-0.864578780222597
-1.95217915873499
-0.11317194501752
1.02470860347022
-1.25650654087286
-0.602130638597027
-0.83233134657693
-0.446577198612737
-4.01053303468812
0.288513333839785
-1.00798474916531
-0.572816189634855
-0.297410570159231
1.21578539483534
-0.727486991378146
-0.843943364912431
-1.20889338911855
-0.649656515850742
3.19984732249364
0.572738529480399
-0.0199646221520179
0.462316869083462
-1.28699501625665
-1.80757939159691
-2.15431670426712
0.707840316820782
1.36410372036211
0.314718394752158
-4.1002515835693
1.26992188862053
1.80144339707427
-0.42970220964945
0.529993653035631
1.18764422512472
-0.398233352310507
-0.421884162222733
-2.6898323919027
1.0140628812162
-0.542058945797581
-0.368690243263354
1.31411524584048
-0.428705333764204
-0.663582558495647
1.37204511801761
-1.27310996987184
0.810157913937622
1.5741305304336
-1.025150115941
-0.998930862337702
-0.0536208441845616
1.66337771592794
-0.178008462116163
-1.09164775518912
1.96797905166753
0.634220496887586
1.38764487483822
0.75570654001001
-2.3214750727902
1.62023993830839
0.423224828517651
-1.7051130142733
0.541981863740972
-0.593027838089475
0.213567450337977
-0.696840242545287
0.0777251570183703
-0.725328497765991
2.1315776363419
-0.33645518676905
-0.979182554450992
-0.242246084610725
-1.82980075345691
-1.14814874978528
0.496126806273696
-0.37803015357093
0.564631359789787
0.268965939275992
0.752661368724124
-2.30203173253409
2.82635859577673
-0.607627712639158
3.77405193258893
1.08426693162876
-2.2508985634727
0.290663952981133
-1.1346060583543
1.41583984485642
0.590041695581542
1.22056539827692
0.0970995178245223
-0.906020145960084
-0.597681226735446
0.437155726246844
0.742487563055592
1.22917286536281
-0.95259160353182
-0.75528682870179




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=314612&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]2 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=314612&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=314612&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean-1.98931e-160.0968488-2.05403e-15
Geometric MeanNaN
Harmonic Mean-0.0591205
Quadratic Mean1.29212
Winsorized Mean ( 1 / 59 )-0.002706630.0960787-0.0281709
Winsorized Mean ( 2 / 59 )0.005737290.09281120.0618168
Winsorized Mean ( 3 / 59 )0.008946480.09216350.0970717
Winsorized Mean ( 4 / 59 )0.008132570.08944530.0909222
Winsorized Mean ( 5 / 59 )0.006541550.08917370.0733574
Winsorized Mean ( 6 / 59 )0.005881640.08888480.0661715
Winsorized Mean ( 7 / 59 )0.005319950.08822370.0603007
Winsorized Mean ( 8 / 59 )0.003897210.08680470.0448962
Winsorized Mean ( 9 / 59 )0.006323380.0843910.0749296
Winsorized Mean ( 10 / 59 )0.01071460.08368760.128031
Winsorized Mean ( 11 / 59 )0.01128260.08322620.135566
Winsorized Mean ( 12 / 59 )0.009795770.08265640.118512
Winsorized Mean ( 13 / 59 )0.008529330.08111250.105154
Winsorized Mean ( 14 / 59 )0.009553380.08092870.118047
Winsorized Mean ( 15 / 59 )0.009380530.08071340.11622
Winsorized Mean ( 16 / 59 )0.008693740.07948740.109373
Winsorized Mean ( 17 / 59 )0.002707920.07870470.0344061
Winsorized Mean ( 18 / 59 )0.01505910.07628540.197404
Winsorized Mean ( 19 / 59 )0.01108420.07561040.146596
Winsorized Mean ( 20 / 59 )0.01304570.07505770.173808
Winsorized Mean ( 21 / 59 )-0.001133560.072835-0.0155634
Winsorized Mean ( 22 / 59 )0.007129650.07184460.0992371
Winsorized Mean ( 23 / 59 )0.004738090.07142180.0663396
Winsorized Mean ( 24 / 59 )0.01014070.07040930.144024
Winsorized Mean ( 25 / 59 )0.01097080.07008870.156527
Winsorized Mean ( 26 / 59 )0.01193420.06968440.171261
Winsorized Mean ( 27 / 59 )0.01301230.06952480.18716
Winsorized Mean ( 28 / 59 )0.00751870.06882520.109243
Winsorized Mean ( 29 / 59 )0.006121240.06748070.090711
Winsorized Mean ( 30 / 59 )0.005360220.0661560.0810238
Winsorized Mean ( 31 / 59 )0.008118860.06557810.123804
Winsorized Mean ( 32 / 59 )0.009685370.06525020.148434
Winsorized Mean ( 33 / 59 )0.0129290.06399150.202042
Winsorized Mean ( 34 / 59 )0.02503230.06273020.399048
Winsorized Mean ( 35 / 59 )0.01569970.06110790.256917
Winsorized Mean ( 36 / 59 )0.01121350.06029820.185967
Winsorized Mean ( 37 / 59 )0.0099360.06013190.165237
Winsorized Mean ( 38 / 59 )-0.002694970.0588763-0.0457735
Winsorized Mean ( 39 / 59 )-0.0009298840.0582625-0.0159603
Winsorized Mean ( 40 / 59 )-0.002379550.0570941-0.0416777
Winsorized Mean ( 41 / 59 )-0.003734010.0568499-0.065682
Winsorized Mean ( 42 / 59 )-0.004551280.0547028-0.0832001
Winsorized Mean ( 43 / 59 )-0.00226070.0530582-0.0426079
Winsorized Mean ( 44 / 59 )-0.01757890.0506918-0.34678
Winsorized Mean ( 45 / 59 )-0.01994960.0499414-0.399459
Winsorized Mean ( 46 / 59 )-0.003802140.0478291-0.0794944
Winsorized Mean ( 47 / 59 )-0.002491120.046811-0.0532164
Winsorized Mean ( 48 / 59 )-0.001806890.0467008-0.0386908
Winsorized Mean ( 49 / 59 )-0.00176060.0465997-0.0377813
Winsorized Mean ( 50 / 59 )0.003355170.04565120.0734958
Winsorized Mean ( 51 / 59 )0.002959260.04394530.0673396
Winsorized Mean ( 52 / 59 )-0.001841540.04308-0.0427469
Winsorized Mean ( 53 / 59 )-0.01462310.041674-0.350893
Winsorized Mean ( 54 / 59 )-0.01884990.0397413-0.474316
Winsorized Mean ( 55 / 59 )-0.01572920.0393876-0.399343
Winsorized Mean ( 56 / 59 )-0.01888950.0388233-0.486549
Winsorized Mean ( 57 / 59 )-0.01878020.0385919-0.486635
Winsorized Mean ( 58 / 59 )-0.01856880.0383541-0.48414
Winsorized Mean ( 59 / 59 )-0.01937230.0371594-0.521329
Trimmed Mean ( 1 / 59 )0.001842940.09271750.0198769
Trimmed Mean ( 2 / 59 )0.006496490.08905070.0729527
Trimmed Mean ( 3 / 59 )0.006889250.08695210.0792304
Trimmed Mean ( 4 / 59 )0.006171430.08494390.072653
Trimmed Mean ( 5 / 59 )0.005652130.0836070.0676036
Trimmed Mean ( 6 / 59 )0.005461470.08223740.066411
Trimmed Mean ( 7 / 59 )0.00538550.08082550.0666312
Trimmed Mean ( 8 / 59 )0.005395780.07943090.0679305
Trimmed Mean ( 9 / 59 )0.005604050.07817240.0716883
Trimmed Mean ( 10 / 59 )0.005514070.07719290.0714323
Trimmed Mean ( 11 / 59 )0.004921140.0762370.0645505
Trimmed Mean ( 12 / 59 )0.004253270.0752670.0565091
Trimmed Mean ( 13 / 59 )0.003712910.07429130.0499777
Trimmed Mean ( 14 / 59 )0.003273710.07342230.0445874
Trimmed Mean ( 15 / 59 )0.003273710.07250220.0451533
Trimmed Mean ( 16 / 59 )0.002195360.07152870.0306921
Trimmed Mean ( 17 / 59 )0.001693980.07060480.0239924
Trimmed Mean ( 18 / 59 )0.001619320.06968310.0232384
Trimmed Mean ( 19 / 59 )0.0006714450.06892410.00974181
Trimmed Mean ( 20 / 59 )-3.43015e-050.0681629-0.000503229
Trimmed Mean ( 21 / 59 )-0.0008887950.0673848-0.0131898
Trimmed Mean ( 22 / 59 )-0.0008733410.0667422-0.0130853
Trimmed Mean ( 23 / 59 )-0.001362930.0661272-0.0206107
Trimmed Mean ( 24 / 59 )-0.001725390.0654897-0.0263459
Trimmed Mean ( 25 / 59 )-0.002411440.0648777-0.037169
Trimmed Mean ( 26 / 59 )-0.00316590.0642313-0.0492891
Trimmed Mean ( 27 / 59 )-0.003997570.0635536-0.0629007
Trimmed Mean ( 28 / 59 )-0.004914390.0628195-0.0782303
Trimmed Mean ( 29 / 59 )-0.005571270.0620704-0.0897573
Trimmed Mean ( 30 / 59 )-0.005571270.0613588-0.0907982
Trimmed Mean ( 31 / 59 )-0.006766150.0606842-0.111498
Trimmed Mean ( 32 / 59 )-0.007513540.059984-0.125259
Trimmed Mean ( 33 / 59 )-0.008364920.0592328-0.141221
Trimmed Mean ( 34 / 59 )-0.009405490.0585053-0.160763
Trimmed Mean ( 35 / 59 )-0.01106880.0577999-0.191503
Trimmed Mean ( 36 / 59 )-0.01234830.0571533-0.216056
Trimmed Mean ( 37 / 59 )-0.01346410.056498-0.23831
Trimmed Mean ( 38 / 59 )-0.01456310.0557749-0.261105
Trimmed Mean ( 39 / 59 )-0.01511670.0550746-0.274476
Trimmed Mean ( 40 / 59 )-0.01577440.0543384-0.290299
Trimmed Mean ( 41 / 59 )-0.01639230.0536125-0.305756
Trimmed Mean ( 42 / 59 )-0.01697410.0528112-0.32141
Trimmed Mean ( 43 / 59 )-0.01754340.0521042-0.336698
Trimmed Mean ( 44 / 59 )-0.01824250.0514519-0.354553
Trimmed Mean ( 45 / 59 )-0.01827280.0509278-0.358798
Trimmed Mean ( 46 / 59 )-0.01819610.0503912-0.361097
Trimmed Mean ( 47 / 59 )-0.01885510.049967-0.37735
Trimmed Mean ( 48 / 59 )-0.01960590.0495634-0.395573
Trimmed Mean ( 49 / 59 )-0.02042540.0490945-0.416042
Trimmed Mean ( 50 / 59 )-0.02128850.0485491-0.438494
Trimmed Mean ( 51 / 59 )-0.02128850.048002-0.443492
Trimmed Mean ( 52 / 59 )-0.02362260.0475331-0.496972
Trimmed Mean ( 53 / 59 )-0.02464970.0470635-0.523753
Trimmed Mean ( 54 / 59 )-0.02512660.0466529-0.538587
Trimmed Mean ( 55 / 59 )-0.02542820.0463627-0.548462
Trimmed Mean ( 56 / 59 )-0.02589930.0460315-0.562643
Trimmed Mean ( 57 / 59 )-0.0262440.045677-0.574557
Trimmed Mean ( 58 / 59 )-0.02661610.0452533-0.588158
Trimmed Mean ( 59 / 59 )-0.02702320.0447474-0.603906
Median-0.0893082
Midrange-0.1631
Midmean - Weighted Average at Xnp-0.0274469
Midmean - Weighted Average at X(n+1)p-0.0182425
Midmean - Empirical Distribution Function-0.0182425
Midmean - Empirical Distribution Function - Averaging-0.0182425
Midmean - Empirical Distribution Function - Interpolation-0.0182728
Midmean - Closest Observation-0.0274469
Midmean - True Basic - Statistics Graphics Toolkit-0.0182425
Midmean - MS Excel (old versions)-0.0182425
Number of observations179

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & -1.98931e-16 & 0.0968488 & -2.05403e-15 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & -0.0591205 &  &  \tabularnewline
Quadratic Mean & 1.29212 &  &  \tabularnewline
Winsorized Mean ( 1 / 59 ) & -0.00270663 & 0.0960787 & -0.0281709 \tabularnewline
Winsorized Mean ( 2 / 59 ) & 0.00573729 & 0.0928112 & 0.0618168 \tabularnewline
Winsorized Mean ( 3 / 59 ) & 0.00894648 & 0.0921635 & 0.0970717 \tabularnewline
Winsorized Mean ( 4 / 59 ) & 0.00813257 & 0.0894453 & 0.0909222 \tabularnewline
Winsorized Mean ( 5 / 59 ) & 0.00654155 & 0.0891737 & 0.0733574 \tabularnewline
Winsorized Mean ( 6 / 59 ) & 0.00588164 & 0.0888848 & 0.0661715 \tabularnewline
Winsorized Mean ( 7 / 59 ) & 0.00531995 & 0.0882237 & 0.0603007 \tabularnewline
Winsorized Mean ( 8 / 59 ) & 0.00389721 & 0.0868047 & 0.0448962 \tabularnewline
Winsorized Mean ( 9 / 59 ) & 0.00632338 & 0.084391 & 0.0749296 \tabularnewline
Winsorized Mean ( 10 / 59 ) & 0.0107146 & 0.0836876 & 0.128031 \tabularnewline
Winsorized Mean ( 11 / 59 ) & 0.0112826 & 0.0832262 & 0.135566 \tabularnewline
Winsorized Mean ( 12 / 59 ) & 0.00979577 & 0.0826564 & 0.118512 \tabularnewline
Winsorized Mean ( 13 / 59 ) & 0.00852933 & 0.0811125 & 0.105154 \tabularnewline
Winsorized Mean ( 14 / 59 ) & 0.00955338 & 0.0809287 & 0.118047 \tabularnewline
Winsorized Mean ( 15 / 59 ) & 0.00938053 & 0.0807134 & 0.11622 \tabularnewline
Winsorized Mean ( 16 / 59 ) & 0.00869374 & 0.0794874 & 0.109373 \tabularnewline
Winsorized Mean ( 17 / 59 ) & 0.00270792 & 0.0787047 & 0.0344061 \tabularnewline
Winsorized Mean ( 18 / 59 ) & 0.0150591 & 0.0762854 & 0.197404 \tabularnewline
Winsorized Mean ( 19 / 59 ) & 0.0110842 & 0.0756104 & 0.146596 \tabularnewline
Winsorized Mean ( 20 / 59 ) & 0.0130457 & 0.0750577 & 0.173808 \tabularnewline
Winsorized Mean ( 21 / 59 ) & -0.00113356 & 0.072835 & -0.0155634 \tabularnewline
Winsorized Mean ( 22 / 59 ) & 0.00712965 & 0.0718446 & 0.0992371 \tabularnewline
Winsorized Mean ( 23 / 59 ) & 0.00473809 & 0.0714218 & 0.0663396 \tabularnewline
Winsorized Mean ( 24 / 59 ) & 0.0101407 & 0.0704093 & 0.144024 \tabularnewline
Winsorized Mean ( 25 / 59 ) & 0.0109708 & 0.0700887 & 0.156527 \tabularnewline
Winsorized Mean ( 26 / 59 ) & 0.0119342 & 0.0696844 & 0.171261 \tabularnewline
Winsorized Mean ( 27 / 59 ) & 0.0130123 & 0.0695248 & 0.18716 \tabularnewline
Winsorized Mean ( 28 / 59 ) & 0.0075187 & 0.0688252 & 0.109243 \tabularnewline
Winsorized Mean ( 29 / 59 ) & 0.00612124 & 0.0674807 & 0.090711 \tabularnewline
Winsorized Mean ( 30 / 59 ) & 0.00536022 & 0.066156 & 0.0810238 \tabularnewline
Winsorized Mean ( 31 / 59 ) & 0.00811886 & 0.0655781 & 0.123804 \tabularnewline
Winsorized Mean ( 32 / 59 ) & 0.00968537 & 0.0652502 & 0.148434 \tabularnewline
Winsorized Mean ( 33 / 59 ) & 0.012929 & 0.0639915 & 0.202042 \tabularnewline
Winsorized Mean ( 34 / 59 ) & 0.0250323 & 0.0627302 & 0.399048 \tabularnewline
Winsorized Mean ( 35 / 59 ) & 0.0156997 & 0.0611079 & 0.256917 \tabularnewline
Winsorized Mean ( 36 / 59 ) & 0.0112135 & 0.0602982 & 0.185967 \tabularnewline
Winsorized Mean ( 37 / 59 ) & 0.009936 & 0.0601319 & 0.165237 \tabularnewline
Winsorized Mean ( 38 / 59 ) & -0.00269497 & 0.0588763 & -0.0457735 \tabularnewline
Winsorized Mean ( 39 / 59 ) & -0.000929884 & 0.0582625 & -0.0159603 \tabularnewline
Winsorized Mean ( 40 / 59 ) & -0.00237955 & 0.0570941 & -0.0416777 \tabularnewline
Winsorized Mean ( 41 / 59 ) & -0.00373401 & 0.0568499 & -0.065682 \tabularnewline
Winsorized Mean ( 42 / 59 ) & -0.00455128 & 0.0547028 & -0.0832001 \tabularnewline
Winsorized Mean ( 43 / 59 ) & -0.0022607 & 0.0530582 & -0.0426079 \tabularnewline
Winsorized Mean ( 44 / 59 ) & -0.0175789 & 0.0506918 & -0.34678 \tabularnewline
Winsorized Mean ( 45 / 59 ) & -0.0199496 & 0.0499414 & -0.399459 \tabularnewline
Winsorized Mean ( 46 / 59 ) & -0.00380214 & 0.0478291 & -0.0794944 \tabularnewline
Winsorized Mean ( 47 / 59 ) & -0.00249112 & 0.046811 & -0.0532164 \tabularnewline
Winsorized Mean ( 48 / 59 ) & -0.00180689 & 0.0467008 & -0.0386908 \tabularnewline
Winsorized Mean ( 49 / 59 ) & -0.0017606 & 0.0465997 & -0.0377813 \tabularnewline
Winsorized Mean ( 50 / 59 ) & 0.00335517 & 0.0456512 & 0.0734958 \tabularnewline
Winsorized Mean ( 51 / 59 ) & 0.00295926 & 0.0439453 & 0.0673396 \tabularnewline
Winsorized Mean ( 52 / 59 ) & -0.00184154 & 0.04308 & -0.0427469 \tabularnewline
Winsorized Mean ( 53 / 59 ) & -0.0146231 & 0.041674 & -0.350893 \tabularnewline
Winsorized Mean ( 54 / 59 ) & -0.0188499 & 0.0397413 & -0.474316 \tabularnewline
Winsorized Mean ( 55 / 59 ) & -0.0157292 & 0.0393876 & -0.399343 \tabularnewline
Winsorized Mean ( 56 / 59 ) & -0.0188895 & 0.0388233 & -0.486549 \tabularnewline
Winsorized Mean ( 57 / 59 ) & -0.0187802 & 0.0385919 & -0.486635 \tabularnewline
Winsorized Mean ( 58 / 59 ) & -0.0185688 & 0.0383541 & -0.48414 \tabularnewline
Winsorized Mean ( 59 / 59 ) & -0.0193723 & 0.0371594 & -0.521329 \tabularnewline
Trimmed Mean ( 1 / 59 ) & 0.00184294 & 0.0927175 & 0.0198769 \tabularnewline
Trimmed Mean ( 2 / 59 ) & 0.00649649 & 0.0890507 & 0.0729527 \tabularnewline
Trimmed Mean ( 3 / 59 ) & 0.00688925 & 0.0869521 & 0.0792304 \tabularnewline
Trimmed Mean ( 4 / 59 ) & 0.00617143 & 0.0849439 & 0.072653 \tabularnewline
Trimmed Mean ( 5 / 59 ) & 0.00565213 & 0.083607 & 0.0676036 \tabularnewline
Trimmed Mean ( 6 / 59 ) & 0.00546147 & 0.0822374 & 0.066411 \tabularnewline
Trimmed Mean ( 7 / 59 ) & 0.0053855 & 0.0808255 & 0.0666312 \tabularnewline
Trimmed Mean ( 8 / 59 ) & 0.00539578 & 0.0794309 & 0.0679305 \tabularnewline
Trimmed Mean ( 9 / 59 ) & 0.00560405 & 0.0781724 & 0.0716883 \tabularnewline
Trimmed Mean ( 10 / 59 ) & 0.00551407 & 0.0771929 & 0.0714323 \tabularnewline
Trimmed Mean ( 11 / 59 ) & 0.00492114 & 0.076237 & 0.0645505 \tabularnewline
Trimmed Mean ( 12 / 59 ) & 0.00425327 & 0.075267 & 0.0565091 \tabularnewline
Trimmed Mean ( 13 / 59 ) & 0.00371291 & 0.0742913 & 0.0499777 \tabularnewline
Trimmed Mean ( 14 / 59 ) & 0.00327371 & 0.0734223 & 0.0445874 \tabularnewline
Trimmed Mean ( 15 / 59 ) & 0.00327371 & 0.0725022 & 0.0451533 \tabularnewline
Trimmed Mean ( 16 / 59 ) & 0.00219536 & 0.0715287 & 0.0306921 \tabularnewline
Trimmed Mean ( 17 / 59 ) & 0.00169398 & 0.0706048 & 0.0239924 \tabularnewline
Trimmed Mean ( 18 / 59 ) & 0.00161932 & 0.0696831 & 0.0232384 \tabularnewline
Trimmed Mean ( 19 / 59 ) & 0.000671445 & 0.0689241 & 0.00974181 \tabularnewline
Trimmed Mean ( 20 / 59 ) & -3.43015e-05 & 0.0681629 & -0.000503229 \tabularnewline
Trimmed Mean ( 21 / 59 ) & -0.000888795 & 0.0673848 & -0.0131898 \tabularnewline
Trimmed Mean ( 22 / 59 ) & -0.000873341 & 0.0667422 & -0.0130853 \tabularnewline
Trimmed Mean ( 23 / 59 ) & -0.00136293 & 0.0661272 & -0.0206107 \tabularnewline
Trimmed Mean ( 24 / 59 ) & -0.00172539 & 0.0654897 & -0.0263459 \tabularnewline
Trimmed Mean ( 25 / 59 ) & -0.00241144 & 0.0648777 & -0.037169 \tabularnewline
Trimmed Mean ( 26 / 59 ) & -0.0031659 & 0.0642313 & -0.0492891 \tabularnewline
Trimmed Mean ( 27 / 59 ) & -0.00399757 & 0.0635536 & -0.0629007 \tabularnewline
Trimmed Mean ( 28 / 59 ) & -0.00491439 & 0.0628195 & -0.0782303 \tabularnewline
Trimmed Mean ( 29 / 59 ) & -0.00557127 & 0.0620704 & -0.0897573 \tabularnewline
Trimmed Mean ( 30 / 59 ) & -0.00557127 & 0.0613588 & -0.0907982 \tabularnewline
Trimmed Mean ( 31 / 59 ) & -0.00676615 & 0.0606842 & -0.111498 \tabularnewline
Trimmed Mean ( 32 / 59 ) & -0.00751354 & 0.059984 & -0.125259 \tabularnewline
Trimmed Mean ( 33 / 59 ) & -0.00836492 & 0.0592328 & -0.141221 \tabularnewline
Trimmed Mean ( 34 / 59 ) & -0.00940549 & 0.0585053 & -0.160763 \tabularnewline
Trimmed Mean ( 35 / 59 ) & -0.0110688 & 0.0577999 & -0.191503 \tabularnewline
Trimmed Mean ( 36 / 59 ) & -0.0123483 & 0.0571533 & -0.216056 \tabularnewline
Trimmed Mean ( 37 / 59 ) & -0.0134641 & 0.056498 & -0.23831 \tabularnewline
Trimmed Mean ( 38 / 59 ) & -0.0145631 & 0.0557749 & -0.261105 \tabularnewline
Trimmed Mean ( 39 / 59 ) & -0.0151167 & 0.0550746 & -0.274476 \tabularnewline
Trimmed Mean ( 40 / 59 ) & -0.0157744 & 0.0543384 & -0.290299 \tabularnewline
Trimmed Mean ( 41 / 59 ) & -0.0163923 & 0.0536125 & -0.305756 \tabularnewline
Trimmed Mean ( 42 / 59 ) & -0.0169741 & 0.0528112 & -0.32141 \tabularnewline
Trimmed Mean ( 43 / 59 ) & -0.0175434 & 0.0521042 & -0.336698 \tabularnewline
Trimmed Mean ( 44 / 59 ) & -0.0182425 & 0.0514519 & -0.354553 \tabularnewline
Trimmed Mean ( 45 / 59 ) & -0.0182728 & 0.0509278 & -0.358798 \tabularnewline
Trimmed Mean ( 46 / 59 ) & -0.0181961 & 0.0503912 & -0.361097 \tabularnewline
Trimmed Mean ( 47 / 59 ) & -0.0188551 & 0.049967 & -0.37735 \tabularnewline
Trimmed Mean ( 48 / 59 ) & -0.0196059 & 0.0495634 & -0.395573 \tabularnewline
Trimmed Mean ( 49 / 59 ) & -0.0204254 & 0.0490945 & -0.416042 \tabularnewline
Trimmed Mean ( 50 / 59 ) & -0.0212885 & 0.0485491 & -0.438494 \tabularnewline
Trimmed Mean ( 51 / 59 ) & -0.0212885 & 0.048002 & -0.443492 \tabularnewline
Trimmed Mean ( 52 / 59 ) & -0.0236226 & 0.0475331 & -0.496972 \tabularnewline
Trimmed Mean ( 53 / 59 ) & -0.0246497 & 0.0470635 & -0.523753 \tabularnewline
Trimmed Mean ( 54 / 59 ) & -0.0251266 & 0.0466529 & -0.538587 \tabularnewline
Trimmed Mean ( 55 / 59 ) & -0.0254282 & 0.0463627 & -0.548462 \tabularnewline
Trimmed Mean ( 56 / 59 ) & -0.0258993 & 0.0460315 & -0.562643 \tabularnewline
Trimmed Mean ( 57 / 59 ) & -0.026244 & 0.045677 & -0.574557 \tabularnewline
Trimmed Mean ( 58 / 59 ) & -0.0266161 & 0.0452533 & -0.588158 \tabularnewline
Trimmed Mean ( 59 / 59 ) & -0.0270232 & 0.0447474 & -0.603906 \tabularnewline
Median & -0.0893082 &  &  \tabularnewline
Midrange & -0.1631 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & -0.0274469 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & -0.0182425 &  &  \tabularnewline
Midmean - Empirical Distribution Function & -0.0182425 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & -0.0182425 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & -0.0182728 &  &  \tabularnewline
Midmean - Closest Observation & -0.0274469 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & -0.0182425 &  &  \tabularnewline
Midmean - MS Excel (old versions) & -0.0182425 &  &  \tabularnewline
Number of observations & 179 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=314612&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]-1.98931e-16[/C][C]0.0968488[/C][C]-2.05403e-15[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]-0.0591205[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]1.29212[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 59 )[/C][C]-0.00270663[/C][C]0.0960787[/C][C]-0.0281709[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 59 )[/C][C]0.00573729[/C][C]0.0928112[/C][C]0.0618168[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 59 )[/C][C]0.00894648[/C][C]0.0921635[/C][C]0.0970717[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 59 )[/C][C]0.00813257[/C][C]0.0894453[/C][C]0.0909222[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 59 )[/C][C]0.00654155[/C][C]0.0891737[/C][C]0.0733574[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 59 )[/C][C]0.00588164[/C][C]0.0888848[/C][C]0.0661715[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 59 )[/C][C]0.00531995[/C][C]0.0882237[/C][C]0.0603007[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 59 )[/C][C]0.00389721[/C][C]0.0868047[/C][C]0.0448962[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 59 )[/C][C]0.00632338[/C][C]0.084391[/C][C]0.0749296[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 59 )[/C][C]0.0107146[/C][C]0.0836876[/C][C]0.128031[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 59 )[/C][C]0.0112826[/C][C]0.0832262[/C][C]0.135566[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 59 )[/C][C]0.00979577[/C][C]0.0826564[/C][C]0.118512[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 59 )[/C][C]0.00852933[/C][C]0.0811125[/C][C]0.105154[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 59 )[/C][C]0.00955338[/C][C]0.0809287[/C][C]0.118047[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 59 )[/C][C]0.00938053[/C][C]0.0807134[/C][C]0.11622[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 59 )[/C][C]0.00869374[/C][C]0.0794874[/C][C]0.109373[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 59 )[/C][C]0.00270792[/C][C]0.0787047[/C][C]0.0344061[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 59 )[/C][C]0.0150591[/C][C]0.0762854[/C][C]0.197404[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 59 )[/C][C]0.0110842[/C][C]0.0756104[/C][C]0.146596[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 59 )[/C][C]0.0130457[/C][C]0.0750577[/C][C]0.173808[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 59 )[/C][C]-0.00113356[/C][C]0.072835[/C][C]-0.0155634[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 59 )[/C][C]0.00712965[/C][C]0.0718446[/C][C]0.0992371[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 59 )[/C][C]0.00473809[/C][C]0.0714218[/C][C]0.0663396[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 59 )[/C][C]0.0101407[/C][C]0.0704093[/C][C]0.144024[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 59 )[/C][C]0.0109708[/C][C]0.0700887[/C][C]0.156527[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 59 )[/C][C]0.0119342[/C][C]0.0696844[/C][C]0.171261[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 59 )[/C][C]0.0130123[/C][C]0.0695248[/C][C]0.18716[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 59 )[/C][C]0.0075187[/C][C]0.0688252[/C][C]0.109243[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 59 )[/C][C]0.00612124[/C][C]0.0674807[/C][C]0.090711[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 59 )[/C][C]0.00536022[/C][C]0.066156[/C][C]0.0810238[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 59 )[/C][C]0.00811886[/C][C]0.0655781[/C][C]0.123804[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 59 )[/C][C]0.00968537[/C][C]0.0652502[/C][C]0.148434[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 59 )[/C][C]0.012929[/C][C]0.0639915[/C][C]0.202042[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 59 )[/C][C]0.0250323[/C][C]0.0627302[/C][C]0.399048[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 59 )[/C][C]0.0156997[/C][C]0.0611079[/C][C]0.256917[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 59 )[/C][C]0.0112135[/C][C]0.0602982[/C][C]0.185967[/C][/ROW]
[ROW][C]Winsorized Mean ( 37 / 59 )[/C][C]0.009936[/C][C]0.0601319[/C][C]0.165237[/C][/ROW]
[ROW][C]Winsorized Mean ( 38 / 59 )[/C][C]-0.00269497[/C][C]0.0588763[/C][C]-0.0457735[/C][/ROW]
[ROW][C]Winsorized Mean ( 39 / 59 )[/C][C]-0.000929884[/C][C]0.0582625[/C][C]-0.0159603[/C][/ROW]
[ROW][C]Winsorized Mean ( 40 / 59 )[/C][C]-0.00237955[/C][C]0.0570941[/C][C]-0.0416777[/C][/ROW]
[ROW][C]Winsorized Mean ( 41 / 59 )[/C][C]-0.00373401[/C][C]0.0568499[/C][C]-0.065682[/C][/ROW]
[ROW][C]Winsorized Mean ( 42 / 59 )[/C][C]-0.00455128[/C][C]0.0547028[/C][C]-0.0832001[/C][/ROW]
[ROW][C]Winsorized Mean ( 43 / 59 )[/C][C]-0.0022607[/C][C]0.0530582[/C][C]-0.0426079[/C][/ROW]
[ROW][C]Winsorized Mean ( 44 / 59 )[/C][C]-0.0175789[/C][C]0.0506918[/C][C]-0.34678[/C][/ROW]
[ROW][C]Winsorized Mean ( 45 / 59 )[/C][C]-0.0199496[/C][C]0.0499414[/C][C]-0.399459[/C][/ROW]
[ROW][C]Winsorized Mean ( 46 / 59 )[/C][C]-0.00380214[/C][C]0.0478291[/C][C]-0.0794944[/C][/ROW]
[ROW][C]Winsorized Mean ( 47 / 59 )[/C][C]-0.00249112[/C][C]0.046811[/C][C]-0.0532164[/C][/ROW]
[ROW][C]Winsorized Mean ( 48 / 59 )[/C][C]-0.00180689[/C][C]0.0467008[/C][C]-0.0386908[/C][/ROW]
[ROW][C]Winsorized Mean ( 49 / 59 )[/C][C]-0.0017606[/C][C]0.0465997[/C][C]-0.0377813[/C][/ROW]
[ROW][C]Winsorized Mean ( 50 / 59 )[/C][C]0.00335517[/C][C]0.0456512[/C][C]0.0734958[/C][/ROW]
[ROW][C]Winsorized Mean ( 51 / 59 )[/C][C]0.00295926[/C][C]0.0439453[/C][C]0.0673396[/C][/ROW]
[ROW][C]Winsorized Mean ( 52 / 59 )[/C][C]-0.00184154[/C][C]0.04308[/C][C]-0.0427469[/C][/ROW]
[ROW][C]Winsorized Mean ( 53 / 59 )[/C][C]-0.0146231[/C][C]0.041674[/C][C]-0.350893[/C][/ROW]
[ROW][C]Winsorized Mean ( 54 / 59 )[/C][C]-0.0188499[/C][C]0.0397413[/C][C]-0.474316[/C][/ROW]
[ROW][C]Winsorized Mean ( 55 / 59 )[/C][C]-0.0157292[/C][C]0.0393876[/C][C]-0.399343[/C][/ROW]
[ROW][C]Winsorized Mean ( 56 / 59 )[/C][C]-0.0188895[/C][C]0.0388233[/C][C]-0.486549[/C][/ROW]
[ROW][C]Winsorized Mean ( 57 / 59 )[/C][C]-0.0187802[/C][C]0.0385919[/C][C]-0.486635[/C][/ROW]
[ROW][C]Winsorized Mean ( 58 / 59 )[/C][C]-0.0185688[/C][C]0.0383541[/C][C]-0.48414[/C][/ROW]
[ROW][C]Winsorized Mean ( 59 / 59 )[/C][C]-0.0193723[/C][C]0.0371594[/C][C]-0.521329[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 59 )[/C][C]0.00184294[/C][C]0.0927175[/C][C]0.0198769[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 59 )[/C][C]0.00649649[/C][C]0.0890507[/C][C]0.0729527[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 59 )[/C][C]0.00688925[/C][C]0.0869521[/C][C]0.0792304[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 59 )[/C][C]0.00617143[/C][C]0.0849439[/C][C]0.072653[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 59 )[/C][C]0.00565213[/C][C]0.083607[/C][C]0.0676036[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 59 )[/C][C]0.00546147[/C][C]0.0822374[/C][C]0.066411[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 59 )[/C][C]0.0053855[/C][C]0.0808255[/C][C]0.0666312[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 59 )[/C][C]0.00539578[/C][C]0.0794309[/C][C]0.0679305[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 59 )[/C][C]0.00560405[/C][C]0.0781724[/C][C]0.0716883[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 59 )[/C][C]0.00551407[/C][C]0.0771929[/C][C]0.0714323[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 59 )[/C][C]0.00492114[/C][C]0.076237[/C][C]0.0645505[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 59 )[/C][C]0.00425327[/C][C]0.075267[/C][C]0.0565091[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 59 )[/C][C]0.00371291[/C][C]0.0742913[/C][C]0.0499777[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 59 )[/C][C]0.00327371[/C][C]0.0734223[/C][C]0.0445874[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 59 )[/C][C]0.00327371[/C][C]0.0725022[/C][C]0.0451533[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 59 )[/C][C]0.00219536[/C][C]0.0715287[/C][C]0.0306921[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 59 )[/C][C]0.00169398[/C][C]0.0706048[/C][C]0.0239924[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 59 )[/C][C]0.00161932[/C][C]0.0696831[/C][C]0.0232384[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 59 )[/C][C]0.000671445[/C][C]0.0689241[/C][C]0.00974181[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 59 )[/C][C]-3.43015e-05[/C][C]0.0681629[/C][C]-0.000503229[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 59 )[/C][C]-0.000888795[/C][C]0.0673848[/C][C]-0.0131898[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 59 )[/C][C]-0.000873341[/C][C]0.0667422[/C][C]-0.0130853[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 59 )[/C][C]-0.00136293[/C][C]0.0661272[/C][C]-0.0206107[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 59 )[/C][C]-0.00172539[/C][C]0.0654897[/C][C]-0.0263459[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 59 )[/C][C]-0.00241144[/C][C]0.0648777[/C][C]-0.037169[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 59 )[/C][C]-0.0031659[/C][C]0.0642313[/C][C]-0.0492891[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 59 )[/C][C]-0.00399757[/C][C]0.0635536[/C][C]-0.0629007[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 59 )[/C][C]-0.00491439[/C][C]0.0628195[/C][C]-0.0782303[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 59 )[/C][C]-0.00557127[/C][C]0.0620704[/C][C]-0.0897573[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 59 )[/C][C]-0.00557127[/C][C]0.0613588[/C][C]-0.0907982[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 59 )[/C][C]-0.00676615[/C][C]0.0606842[/C][C]-0.111498[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 59 )[/C][C]-0.00751354[/C][C]0.059984[/C][C]-0.125259[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 59 )[/C][C]-0.00836492[/C][C]0.0592328[/C][C]-0.141221[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 59 )[/C][C]-0.00940549[/C][C]0.0585053[/C][C]-0.160763[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 59 )[/C][C]-0.0110688[/C][C]0.0577999[/C][C]-0.191503[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 59 )[/C][C]-0.0123483[/C][C]0.0571533[/C][C]-0.216056[/C][/ROW]
[ROW][C]Trimmed Mean ( 37 / 59 )[/C][C]-0.0134641[/C][C]0.056498[/C][C]-0.23831[/C][/ROW]
[ROW][C]Trimmed Mean ( 38 / 59 )[/C][C]-0.0145631[/C][C]0.0557749[/C][C]-0.261105[/C][/ROW]
[ROW][C]Trimmed Mean ( 39 / 59 )[/C][C]-0.0151167[/C][C]0.0550746[/C][C]-0.274476[/C][/ROW]
[ROW][C]Trimmed Mean ( 40 / 59 )[/C][C]-0.0157744[/C][C]0.0543384[/C][C]-0.290299[/C][/ROW]
[ROW][C]Trimmed Mean ( 41 / 59 )[/C][C]-0.0163923[/C][C]0.0536125[/C][C]-0.305756[/C][/ROW]
[ROW][C]Trimmed Mean ( 42 / 59 )[/C][C]-0.0169741[/C][C]0.0528112[/C][C]-0.32141[/C][/ROW]
[ROW][C]Trimmed Mean ( 43 / 59 )[/C][C]-0.0175434[/C][C]0.0521042[/C][C]-0.336698[/C][/ROW]
[ROW][C]Trimmed Mean ( 44 / 59 )[/C][C]-0.0182425[/C][C]0.0514519[/C][C]-0.354553[/C][/ROW]
[ROW][C]Trimmed Mean ( 45 / 59 )[/C][C]-0.0182728[/C][C]0.0509278[/C][C]-0.358798[/C][/ROW]
[ROW][C]Trimmed Mean ( 46 / 59 )[/C][C]-0.0181961[/C][C]0.0503912[/C][C]-0.361097[/C][/ROW]
[ROW][C]Trimmed Mean ( 47 / 59 )[/C][C]-0.0188551[/C][C]0.049967[/C][C]-0.37735[/C][/ROW]
[ROW][C]Trimmed Mean ( 48 / 59 )[/C][C]-0.0196059[/C][C]0.0495634[/C][C]-0.395573[/C][/ROW]
[ROW][C]Trimmed Mean ( 49 / 59 )[/C][C]-0.0204254[/C][C]0.0490945[/C][C]-0.416042[/C][/ROW]
[ROW][C]Trimmed Mean ( 50 / 59 )[/C][C]-0.0212885[/C][C]0.0485491[/C][C]-0.438494[/C][/ROW]
[ROW][C]Trimmed Mean ( 51 / 59 )[/C][C]-0.0212885[/C][C]0.048002[/C][C]-0.443492[/C][/ROW]
[ROW][C]Trimmed Mean ( 52 / 59 )[/C][C]-0.0236226[/C][C]0.0475331[/C][C]-0.496972[/C][/ROW]
[ROW][C]Trimmed Mean ( 53 / 59 )[/C][C]-0.0246497[/C][C]0.0470635[/C][C]-0.523753[/C][/ROW]
[ROW][C]Trimmed Mean ( 54 / 59 )[/C][C]-0.0251266[/C][C]0.0466529[/C][C]-0.538587[/C][/ROW]
[ROW][C]Trimmed Mean ( 55 / 59 )[/C][C]-0.0254282[/C][C]0.0463627[/C][C]-0.548462[/C][/ROW]
[ROW][C]Trimmed Mean ( 56 / 59 )[/C][C]-0.0258993[/C][C]0.0460315[/C][C]-0.562643[/C][/ROW]
[ROW][C]Trimmed Mean ( 57 / 59 )[/C][C]-0.026244[/C][C]0.045677[/C][C]-0.574557[/C][/ROW]
[ROW][C]Trimmed Mean ( 58 / 59 )[/C][C]-0.0266161[/C][C]0.0452533[/C][C]-0.588158[/C][/ROW]
[ROW][C]Trimmed Mean ( 59 / 59 )[/C][C]-0.0270232[/C][C]0.0447474[/C][C]-0.603906[/C][/ROW]
[ROW][C]Median[/C][C]-0.0893082[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]-0.1631[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]-0.0274469[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]-0.0182425[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]-0.0182425[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]-0.0182425[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]-0.0182728[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]-0.0274469[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]-0.0182425[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]-0.0182425[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]179[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=314612&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=314612&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 Mean-1.98931e-160.0968488-2.05403e-15
Geometric MeanNaN
Harmonic Mean-0.0591205
Quadratic Mean1.29212
Winsorized Mean ( 1 / 59 )-0.002706630.0960787-0.0281709
Winsorized Mean ( 2 / 59 )0.005737290.09281120.0618168
Winsorized Mean ( 3 / 59 )0.008946480.09216350.0970717
Winsorized Mean ( 4 / 59 )0.008132570.08944530.0909222
Winsorized Mean ( 5 / 59 )0.006541550.08917370.0733574
Winsorized Mean ( 6 / 59 )0.005881640.08888480.0661715
Winsorized Mean ( 7 / 59 )0.005319950.08822370.0603007
Winsorized Mean ( 8 / 59 )0.003897210.08680470.0448962
Winsorized Mean ( 9 / 59 )0.006323380.0843910.0749296
Winsorized Mean ( 10 / 59 )0.01071460.08368760.128031
Winsorized Mean ( 11 / 59 )0.01128260.08322620.135566
Winsorized Mean ( 12 / 59 )0.009795770.08265640.118512
Winsorized Mean ( 13 / 59 )0.008529330.08111250.105154
Winsorized Mean ( 14 / 59 )0.009553380.08092870.118047
Winsorized Mean ( 15 / 59 )0.009380530.08071340.11622
Winsorized Mean ( 16 / 59 )0.008693740.07948740.109373
Winsorized Mean ( 17 / 59 )0.002707920.07870470.0344061
Winsorized Mean ( 18 / 59 )0.01505910.07628540.197404
Winsorized Mean ( 19 / 59 )0.01108420.07561040.146596
Winsorized Mean ( 20 / 59 )0.01304570.07505770.173808
Winsorized Mean ( 21 / 59 )-0.001133560.072835-0.0155634
Winsorized Mean ( 22 / 59 )0.007129650.07184460.0992371
Winsorized Mean ( 23 / 59 )0.004738090.07142180.0663396
Winsorized Mean ( 24 / 59 )0.01014070.07040930.144024
Winsorized Mean ( 25 / 59 )0.01097080.07008870.156527
Winsorized Mean ( 26 / 59 )0.01193420.06968440.171261
Winsorized Mean ( 27 / 59 )0.01301230.06952480.18716
Winsorized Mean ( 28 / 59 )0.00751870.06882520.109243
Winsorized Mean ( 29 / 59 )0.006121240.06748070.090711
Winsorized Mean ( 30 / 59 )0.005360220.0661560.0810238
Winsorized Mean ( 31 / 59 )0.008118860.06557810.123804
Winsorized Mean ( 32 / 59 )0.009685370.06525020.148434
Winsorized Mean ( 33 / 59 )0.0129290.06399150.202042
Winsorized Mean ( 34 / 59 )0.02503230.06273020.399048
Winsorized Mean ( 35 / 59 )0.01569970.06110790.256917
Winsorized Mean ( 36 / 59 )0.01121350.06029820.185967
Winsorized Mean ( 37 / 59 )0.0099360.06013190.165237
Winsorized Mean ( 38 / 59 )-0.002694970.0588763-0.0457735
Winsorized Mean ( 39 / 59 )-0.0009298840.0582625-0.0159603
Winsorized Mean ( 40 / 59 )-0.002379550.0570941-0.0416777
Winsorized Mean ( 41 / 59 )-0.003734010.0568499-0.065682
Winsorized Mean ( 42 / 59 )-0.004551280.0547028-0.0832001
Winsorized Mean ( 43 / 59 )-0.00226070.0530582-0.0426079
Winsorized Mean ( 44 / 59 )-0.01757890.0506918-0.34678
Winsorized Mean ( 45 / 59 )-0.01994960.0499414-0.399459
Winsorized Mean ( 46 / 59 )-0.003802140.0478291-0.0794944
Winsorized Mean ( 47 / 59 )-0.002491120.046811-0.0532164
Winsorized Mean ( 48 / 59 )-0.001806890.0467008-0.0386908
Winsorized Mean ( 49 / 59 )-0.00176060.0465997-0.0377813
Winsorized Mean ( 50 / 59 )0.003355170.04565120.0734958
Winsorized Mean ( 51 / 59 )0.002959260.04394530.0673396
Winsorized Mean ( 52 / 59 )-0.001841540.04308-0.0427469
Winsorized Mean ( 53 / 59 )-0.01462310.041674-0.350893
Winsorized Mean ( 54 / 59 )-0.01884990.0397413-0.474316
Winsorized Mean ( 55 / 59 )-0.01572920.0393876-0.399343
Winsorized Mean ( 56 / 59 )-0.01888950.0388233-0.486549
Winsorized Mean ( 57 / 59 )-0.01878020.0385919-0.486635
Winsorized Mean ( 58 / 59 )-0.01856880.0383541-0.48414
Winsorized Mean ( 59 / 59 )-0.01937230.0371594-0.521329
Trimmed Mean ( 1 / 59 )0.001842940.09271750.0198769
Trimmed Mean ( 2 / 59 )0.006496490.08905070.0729527
Trimmed Mean ( 3 / 59 )0.006889250.08695210.0792304
Trimmed Mean ( 4 / 59 )0.006171430.08494390.072653
Trimmed Mean ( 5 / 59 )0.005652130.0836070.0676036
Trimmed Mean ( 6 / 59 )0.005461470.08223740.066411
Trimmed Mean ( 7 / 59 )0.00538550.08082550.0666312
Trimmed Mean ( 8 / 59 )0.005395780.07943090.0679305
Trimmed Mean ( 9 / 59 )0.005604050.07817240.0716883
Trimmed Mean ( 10 / 59 )0.005514070.07719290.0714323
Trimmed Mean ( 11 / 59 )0.004921140.0762370.0645505
Trimmed Mean ( 12 / 59 )0.004253270.0752670.0565091
Trimmed Mean ( 13 / 59 )0.003712910.07429130.0499777
Trimmed Mean ( 14 / 59 )0.003273710.07342230.0445874
Trimmed Mean ( 15 / 59 )0.003273710.07250220.0451533
Trimmed Mean ( 16 / 59 )0.002195360.07152870.0306921
Trimmed Mean ( 17 / 59 )0.001693980.07060480.0239924
Trimmed Mean ( 18 / 59 )0.001619320.06968310.0232384
Trimmed Mean ( 19 / 59 )0.0006714450.06892410.00974181
Trimmed Mean ( 20 / 59 )-3.43015e-050.0681629-0.000503229
Trimmed Mean ( 21 / 59 )-0.0008887950.0673848-0.0131898
Trimmed Mean ( 22 / 59 )-0.0008733410.0667422-0.0130853
Trimmed Mean ( 23 / 59 )-0.001362930.0661272-0.0206107
Trimmed Mean ( 24 / 59 )-0.001725390.0654897-0.0263459
Trimmed Mean ( 25 / 59 )-0.002411440.0648777-0.037169
Trimmed Mean ( 26 / 59 )-0.00316590.0642313-0.0492891
Trimmed Mean ( 27 / 59 )-0.003997570.0635536-0.0629007
Trimmed Mean ( 28 / 59 )-0.004914390.0628195-0.0782303
Trimmed Mean ( 29 / 59 )-0.005571270.0620704-0.0897573
Trimmed Mean ( 30 / 59 )-0.005571270.0613588-0.0907982
Trimmed Mean ( 31 / 59 )-0.006766150.0606842-0.111498
Trimmed Mean ( 32 / 59 )-0.007513540.059984-0.125259
Trimmed Mean ( 33 / 59 )-0.008364920.0592328-0.141221
Trimmed Mean ( 34 / 59 )-0.009405490.0585053-0.160763
Trimmed Mean ( 35 / 59 )-0.01106880.0577999-0.191503
Trimmed Mean ( 36 / 59 )-0.01234830.0571533-0.216056
Trimmed Mean ( 37 / 59 )-0.01346410.056498-0.23831
Trimmed Mean ( 38 / 59 )-0.01456310.0557749-0.261105
Trimmed Mean ( 39 / 59 )-0.01511670.0550746-0.274476
Trimmed Mean ( 40 / 59 )-0.01577440.0543384-0.290299
Trimmed Mean ( 41 / 59 )-0.01639230.0536125-0.305756
Trimmed Mean ( 42 / 59 )-0.01697410.0528112-0.32141
Trimmed Mean ( 43 / 59 )-0.01754340.0521042-0.336698
Trimmed Mean ( 44 / 59 )-0.01824250.0514519-0.354553
Trimmed Mean ( 45 / 59 )-0.01827280.0509278-0.358798
Trimmed Mean ( 46 / 59 )-0.01819610.0503912-0.361097
Trimmed Mean ( 47 / 59 )-0.01885510.049967-0.37735
Trimmed Mean ( 48 / 59 )-0.01960590.0495634-0.395573
Trimmed Mean ( 49 / 59 )-0.02042540.0490945-0.416042
Trimmed Mean ( 50 / 59 )-0.02128850.0485491-0.438494
Trimmed Mean ( 51 / 59 )-0.02128850.048002-0.443492
Trimmed Mean ( 52 / 59 )-0.02362260.0475331-0.496972
Trimmed Mean ( 53 / 59 )-0.02464970.0470635-0.523753
Trimmed Mean ( 54 / 59 )-0.02512660.0466529-0.538587
Trimmed Mean ( 55 / 59 )-0.02542820.0463627-0.548462
Trimmed Mean ( 56 / 59 )-0.02589930.0460315-0.562643
Trimmed Mean ( 57 / 59 )-0.0262440.045677-0.574557
Trimmed Mean ( 58 / 59 )-0.02661610.0452533-0.588158
Trimmed Mean ( 59 / 59 )-0.02702320.0447474-0.603906
Median-0.0893082
Midrange-0.1631
Midmean - Weighted Average at Xnp-0.0274469
Midmean - Weighted Average at X(n+1)p-0.0182425
Midmean - Empirical Distribution Function-0.0182425
Midmean - Empirical Distribution Function - Averaging-0.0182425
Midmean - Empirical Distribution Function - Interpolation-0.0182728
Midmean - Closest Observation-0.0274469
Midmean - True Basic - Statistics Graphics Toolkit-0.0182425
Midmean - MS Excel (old versions)-0.0182425
Number of observations179



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,'Arithmetic Mean',header=TRUE)
a<-table.element(a,signif(arm,6))
a<-table.element(a, signif(armse,6))
a<-table.element(a,signif(armose,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Geometric Mean',header=TRUE)
a<-table.element(a,signif(geo,6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Harmonic Mean',header=TRUE)
a<-table.element(a,signif(har,6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Quadratic Mean',header=TRUE)
a<-table.element(a,signif(qua,6))
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, mylabel,header=TRUE)
a<-table.element(a,signif(win[j,1],6))
a<-table.element(a,signif(win[j,2],6))
a<-table.element(a,signif(win[j,1]/win[j,2],6))
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, mylabel,header=TRUE)
a<-table.element(a,signif(tri[j,1],6))
a<-table.element(a,signif(tri[j,2],6))
a<-table.element(a,signif(tri[j,1]/tri[j,2],6))
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a, 'Median',header=TRUE)
a<-table.element(a,signif(median(x),6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Midrange',header=TRUE)
a<-table.element(a,signif(midr,6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- 'Midmean'
mylabel <- paste(mymid,'Weighted Average at Xnp',sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,signif(midm[1],6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- 'Midmean'
mylabel <- paste(mymid,'Weighted Average at X(n+1)p',sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,signif(midm[2],6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- 'Midmean'
mylabel <- paste(mymid,'Empirical Distribution Function',sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,signif(midm[3],6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- 'Midmean'
mylabel <- paste(mymid,'Empirical Distribution Function - Averaging',sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,signif(midm[4],6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- 'Midmean'
mylabel <- paste(mymid,'Empirical Distribution Function - Interpolation',sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,signif(midm[5],6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- 'Midmean'
mylabel <- paste(mymid,'Closest Observation',sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,signif(midm[6],6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- 'Midmean'
mylabel <- paste(mymid,'True Basic - Statistics Graphics Toolkit',sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,signif(midm[7],6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- 'Midmean'
mylabel <- paste(mymid,'MS Excel (old versions)',sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,signif(midm[8],6))
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,signif(length(x),6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')