Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationWed, 30 Mar 2011 14:47:13 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Mar/30/t130149622089zj8vmdin1dt4r.htm/, Retrieved Fri, 10 May 2024 17:20:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=119827, Retrieved Fri, 10 May 2024 17:20:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W52
Estimated Impact198
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [Verkoop Volvo per...] [2011-03-30 14:47:13] [a06f4363f28b5dbca9773a4122c1ace3] [Current]
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Dataseries X:
2435
1379
1511
2021
1614
1680
1630
870
1877
2428
1711
127
3192
1934
2075
1700
1198
1582
1705
911
1817
1168
920
84
2254
1485
1886
1358
1167
1781
1218
779
1418
1641
1196
132
2926
1777
2094
1648
1646
1537
1917
977
1475
2124
1209
135
2917
1981
1398
1171
903
1390
1280
781
1828
1631
1063
186
2275
1342
1070
950
1121
1305
1586
548
1225
1419
880
124
2044
1143
897
1264
1326
1529
1373
587
1137
1426
1016
176




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ www.wessa.org

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119827&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119827&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119827&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ www.wessa.org







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean1400.488095238168.529494330862620.4362823469336
Geometric Mean1174.3306446187
Harmonic Mean756.218404538144
Quadratic Mean1533.34898413338
Winsorized Mean ( 1 / 28 )1397.7976190476267.489071340195520.7114661868982
Winsorized Mean ( 2 / 28 )1397.6547619047667.414516309124720.7322523163396
Winsorized Mean ( 3 / 28 )1380.6190476190563.289046564319721.8145022332726
Winsorized Mean ( 4 / 28 )1380.4285714285763.188362522427521.846246940465
Winsorized Mean ( 5 / 28 )1373.761904761960.885949594443422.5628722868318
Winsorized Mean ( 6 / 28 )1372.9761904761960.451357325243622.7120820974992
Winsorized Mean ( 7 / 28 )1392.3095238095252.015317198235626.7672985344546
Winsorized Mean ( 8 / 28 )1393.1666666666750.817529968259627.4150803381595
Winsorized Mean ( 9 / 28 )1411.7023809523846.822453618634330.1501154221989
Winsorized Mean ( 10 / 28 )1408.2546.162404061817430.5064267908182
Winsorized Mean ( 11 / 28 )1416.8928571428643.830398687095632.326716150999
Winsorized Mean ( 12 / 28 )1412.6071428571442.682559940566833.09565182651
Winsorized Mean ( 13 / 28 )1407.9642857142941.143771566721134.2205935941252
Winsorized Mean ( 14 / 28 )1406.1309523809540.561010546136334.6670591646513
Winsorized Mean ( 15 / 28 )1402.0238095238139.518766743116735.4774180742371
Winsorized Mean ( 16 / 28 )1402.0238095238139.010630736236935.9395319445956
Winsorized Mean ( 17 / 28 )1398.1785714285736.683537403599438.1146059074276
Winsorized Mean ( 18 / 28 )1401.6071428571435.508291832032539.47267160829
Winsorized Mean ( 19 / 28 )1402.2857142857133.117186058872742.3431420710944
Winsorized Mean ( 20 / 28 )1412.5238095238131.448605160629844.9153087174796
Winsorized Mean ( 21 / 28 )1397.7738095238128.982933387866148.2274789379669
Winsorized Mean ( 22 / 28 )1409.5595238095227.005563222735952.1951537238378
Winsorized Mean ( 23 / 28 )1412.5714285714326.266138036956353.7791824052682
Winsorized Mean ( 24 / 28 )1408.5714285714325.30331369201355.6674689219083
Winsorized Mean ( 25 / 28 )1406.1904761904823.193259230231860.6292743176665
Winsorized Mean ( 26 / 28 )1405.8809523809523.077126321418560.920971389584
Winsorized Mean ( 27 / 28 )1405.238095238122.756409316040161.751310398851
Winsorized Mean ( 28 / 28 )1410.238095238121.318821389855566.1499090146304
Trimmed Mean ( 1 / 28 )1394.6951219512264.692003457609421.5590033915879
Trimmed Mean ( 2 / 28 )1391.437561.413631449125322.6568184809696
Trimmed Mean ( 3 / 28 )1388.0897435897457.575776954149224.1089190111174
Trimmed Mean ( 4 / 28 )1390.8421052631654.988598667173725.293281497887
Trimmed Mean ( 5 / 28 )1393.797297297351.955235836385326.8268880866323
Trimmed Mean ( 6 / 28 )1398.4722222222249.093400380940328.4859515000137
Trimmed Mean ( 7 / 28 )1403.5714285714345.766784683891530.6679055185068
Trimmed Mean ( 8 / 28 )1405.5588235294144.112611213906631.8629703581525
Trimmed Mean ( 9 / 28 )1407.530303030342.424693845417133.1771469738573
Trimmed Mean ( 10 / 28 )1406.92187541.310341295613534.0573771814709
Trimmed Mean ( 11 / 28 )1406.7419354838740.105419884552735.0761054125182
Trimmed Mean ( 12 / 28 )1405.4539.120388033441235.9262796370676
Trimmed Mean ( 13 / 28 )1404.5862068965538.144478378686336.8227923567931
Trimmed Mean ( 14 / 28 )1404.1964285714337.243943285538437.7026787364019
Trimmed Mean ( 15 / 28 )1403.9814814814836.236927961773238.7444952001053
Trimmed Mean ( 16 / 28 )1404.1923076923135.182995413417939.9111073742397
Trimmed Mean ( 17 / 28 )1404.4233.95536193418741.3607724966112
Trimmed Mean ( 18 / 28 )1405.062532.879203561177942.7340795340622
Trimmed Mean ( 19 / 28 )1405.4130434782631.74395718046744.273404084071
Trimmed Mean ( 20 / 28 )1405.7272727272730.785889584376845.661414748939
Trimmed Mean ( 21 / 28 )1405.0476190476229.884192900992547.016415122958
Trimmed Mean ( 22 / 28 )1405.77529.220349589424948.1094517948123
Trimmed Mean ( 23 / 28 )1405.3947368421128.739956857339148.9003774020357
Trimmed Mean ( 24 / 28 )1404.6666666666728.206832449344549.7988091782106
Trimmed Mean ( 25 / 28 )1404.2647058823527.656613151691850.7750062590889
Trimmed Mean ( 26 / 28 )1404.062527.358541506205651.3208096155829
Trimmed Mean ( 27 / 28 )1403.8666666666726.872227826372952.2422880505979
Trimmed Mean ( 28 / 28 )1403.7142857142926.170526312397253.6372203202246
Median1394
Midrange1638
Midmean - Weighted Average at Xnp1397.09302325581
Midmean - Weighted Average at X(n+1)p1405.04761904762
Midmean - Empirical Distribution Function1397.09302325581
Midmean - Empirical Distribution Function - Averaging1405.04761904762
Midmean - Empirical Distribution Function - Interpolation1405.04761904762
Midmean - Closest Observation1397.09302325581
Midmean - True Basic - Statistics Graphics Toolkit1405.04761904762
Midmean - MS Excel (old versions)1405.72727272727
Number of observations84

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 1400.4880952381 & 68.5294943308626 & 20.4362823469336 \tabularnewline
Geometric Mean & 1174.3306446187 &  &  \tabularnewline
Harmonic Mean & 756.218404538144 &  &  \tabularnewline
Quadratic Mean & 1533.34898413338 &  &  \tabularnewline
Winsorized Mean ( 1 / 28 ) & 1397.79761904762 & 67.4890713401955 & 20.7114661868982 \tabularnewline
Winsorized Mean ( 2 / 28 ) & 1397.65476190476 & 67.4145163091247 & 20.7322523163396 \tabularnewline
Winsorized Mean ( 3 / 28 ) & 1380.61904761905 & 63.2890465643197 & 21.8145022332726 \tabularnewline
Winsorized Mean ( 4 / 28 ) & 1380.42857142857 & 63.1883625224275 & 21.846246940465 \tabularnewline
Winsorized Mean ( 5 / 28 ) & 1373.7619047619 & 60.8859495944434 & 22.5628722868318 \tabularnewline
Winsorized Mean ( 6 / 28 ) & 1372.97619047619 & 60.4513573252436 & 22.7120820974992 \tabularnewline
Winsorized Mean ( 7 / 28 ) & 1392.30952380952 & 52.0153171982356 & 26.7672985344546 \tabularnewline
Winsorized Mean ( 8 / 28 ) & 1393.16666666667 & 50.8175299682596 & 27.4150803381595 \tabularnewline
Winsorized Mean ( 9 / 28 ) & 1411.70238095238 & 46.8224536186343 & 30.1501154221989 \tabularnewline
Winsorized Mean ( 10 / 28 ) & 1408.25 & 46.1624040618174 & 30.5064267908182 \tabularnewline
Winsorized Mean ( 11 / 28 ) & 1416.89285714286 & 43.8303986870956 & 32.326716150999 \tabularnewline
Winsorized Mean ( 12 / 28 ) & 1412.60714285714 & 42.6825599405668 & 33.09565182651 \tabularnewline
Winsorized Mean ( 13 / 28 ) & 1407.96428571429 & 41.1437715667211 & 34.2205935941252 \tabularnewline
Winsorized Mean ( 14 / 28 ) & 1406.13095238095 & 40.5610105461363 & 34.6670591646513 \tabularnewline
Winsorized Mean ( 15 / 28 ) & 1402.02380952381 & 39.5187667431167 & 35.4774180742371 \tabularnewline
Winsorized Mean ( 16 / 28 ) & 1402.02380952381 & 39.0106307362369 & 35.9395319445956 \tabularnewline
Winsorized Mean ( 17 / 28 ) & 1398.17857142857 & 36.6835374035994 & 38.1146059074276 \tabularnewline
Winsorized Mean ( 18 / 28 ) & 1401.60714285714 & 35.5082918320325 & 39.47267160829 \tabularnewline
Winsorized Mean ( 19 / 28 ) & 1402.28571428571 & 33.1171860588727 & 42.3431420710944 \tabularnewline
Winsorized Mean ( 20 / 28 ) & 1412.52380952381 & 31.4486051606298 & 44.9153087174796 \tabularnewline
Winsorized Mean ( 21 / 28 ) & 1397.77380952381 & 28.9829333878661 & 48.2274789379669 \tabularnewline
Winsorized Mean ( 22 / 28 ) & 1409.55952380952 & 27.0055632227359 & 52.1951537238378 \tabularnewline
Winsorized Mean ( 23 / 28 ) & 1412.57142857143 & 26.2661380369563 & 53.7791824052682 \tabularnewline
Winsorized Mean ( 24 / 28 ) & 1408.57142857143 & 25.303313692013 & 55.6674689219083 \tabularnewline
Winsorized Mean ( 25 / 28 ) & 1406.19047619048 & 23.1932592302318 & 60.6292743176665 \tabularnewline
Winsorized Mean ( 26 / 28 ) & 1405.88095238095 & 23.0771263214185 & 60.920971389584 \tabularnewline
Winsorized Mean ( 27 / 28 ) & 1405.2380952381 & 22.7564093160401 & 61.751310398851 \tabularnewline
Winsorized Mean ( 28 / 28 ) & 1410.2380952381 & 21.3188213898555 & 66.1499090146304 \tabularnewline
Trimmed Mean ( 1 / 28 ) & 1394.69512195122 & 64.6920034576094 & 21.5590033915879 \tabularnewline
Trimmed Mean ( 2 / 28 ) & 1391.4375 & 61.4136314491253 & 22.6568184809696 \tabularnewline
Trimmed Mean ( 3 / 28 ) & 1388.08974358974 & 57.5757769541492 & 24.1089190111174 \tabularnewline
Trimmed Mean ( 4 / 28 ) & 1390.84210526316 & 54.9885986671737 & 25.293281497887 \tabularnewline
Trimmed Mean ( 5 / 28 ) & 1393.7972972973 & 51.9552358363853 & 26.8268880866323 \tabularnewline
Trimmed Mean ( 6 / 28 ) & 1398.47222222222 & 49.0934003809403 & 28.4859515000137 \tabularnewline
Trimmed Mean ( 7 / 28 ) & 1403.57142857143 & 45.7667846838915 & 30.6679055185068 \tabularnewline
Trimmed Mean ( 8 / 28 ) & 1405.55882352941 & 44.1126112139066 & 31.8629703581525 \tabularnewline
Trimmed Mean ( 9 / 28 ) & 1407.5303030303 & 42.4246938454171 & 33.1771469738573 \tabularnewline
Trimmed Mean ( 10 / 28 ) & 1406.921875 & 41.3103412956135 & 34.0573771814709 \tabularnewline
Trimmed Mean ( 11 / 28 ) & 1406.74193548387 & 40.1054198845527 & 35.0761054125182 \tabularnewline
Trimmed Mean ( 12 / 28 ) & 1405.45 & 39.1203880334412 & 35.9262796370676 \tabularnewline
Trimmed Mean ( 13 / 28 ) & 1404.58620689655 & 38.1444783786863 & 36.8227923567931 \tabularnewline
Trimmed Mean ( 14 / 28 ) & 1404.19642857143 & 37.2439432855384 & 37.7026787364019 \tabularnewline
Trimmed Mean ( 15 / 28 ) & 1403.98148148148 & 36.2369279617732 & 38.7444952001053 \tabularnewline
Trimmed Mean ( 16 / 28 ) & 1404.19230769231 & 35.1829954134179 & 39.9111073742397 \tabularnewline
Trimmed Mean ( 17 / 28 ) & 1404.42 & 33.955361934187 & 41.3607724966112 \tabularnewline
Trimmed Mean ( 18 / 28 ) & 1405.0625 & 32.8792035611779 & 42.7340795340622 \tabularnewline
Trimmed Mean ( 19 / 28 ) & 1405.41304347826 & 31.743957180467 & 44.273404084071 \tabularnewline
Trimmed Mean ( 20 / 28 ) & 1405.72727272727 & 30.7858895843768 & 45.661414748939 \tabularnewline
Trimmed Mean ( 21 / 28 ) & 1405.04761904762 & 29.8841929009925 & 47.016415122958 \tabularnewline
Trimmed Mean ( 22 / 28 ) & 1405.775 & 29.2203495894249 & 48.1094517948123 \tabularnewline
Trimmed Mean ( 23 / 28 ) & 1405.39473684211 & 28.7399568573391 & 48.9003774020357 \tabularnewline
Trimmed Mean ( 24 / 28 ) & 1404.66666666667 & 28.2068324493445 & 49.7988091782106 \tabularnewline
Trimmed Mean ( 25 / 28 ) & 1404.26470588235 & 27.6566131516918 & 50.7750062590889 \tabularnewline
Trimmed Mean ( 26 / 28 ) & 1404.0625 & 27.3585415062056 & 51.3208096155829 \tabularnewline
Trimmed Mean ( 27 / 28 ) & 1403.86666666667 & 26.8722278263729 & 52.2422880505979 \tabularnewline
Trimmed Mean ( 28 / 28 ) & 1403.71428571429 & 26.1705263123972 & 53.6372203202246 \tabularnewline
Median & 1394 &  &  \tabularnewline
Midrange & 1638 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 1397.09302325581 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 1405.04761904762 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 1397.09302325581 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 1405.04761904762 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 1405.04761904762 &  &  \tabularnewline
Midmean - Closest Observation & 1397.09302325581 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 1405.04761904762 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 1405.72727272727 &  &  \tabularnewline
Number of observations & 84 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119827&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]1400.4880952381[/C][C]68.5294943308626[/C][C]20.4362823469336[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]1174.3306446187[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]756.218404538144[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]1533.34898413338[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 28 )[/C][C]1397.79761904762[/C][C]67.4890713401955[/C][C]20.7114661868982[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 28 )[/C][C]1397.65476190476[/C][C]67.4145163091247[/C][C]20.7322523163396[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 28 )[/C][C]1380.61904761905[/C][C]63.2890465643197[/C][C]21.8145022332726[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 28 )[/C][C]1380.42857142857[/C][C]63.1883625224275[/C][C]21.846246940465[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 28 )[/C][C]1373.7619047619[/C][C]60.8859495944434[/C][C]22.5628722868318[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 28 )[/C][C]1372.97619047619[/C][C]60.4513573252436[/C][C]22.7120820974992[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 28 )[/C][C]1392.30952380952[/C][C]52.0153171982356[/C][C]26.7672985344546[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 28 )[/C][C]1393.16666666667[/C][C]50.8175299682596[/C][C]27.4150803381595[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 28 )[/C][C]1411.70238095238[/C][C]46.8224536186343[/C][C]30.1501154221989[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 28 )[/C][C]1408.25[/C][C]46.1624040618174[/C][C]30.5064267908182[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 28 )[/C][C]1416.89285714286[/C][C]43.8303986870956[/C][C]32.326716150999[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 28 )[/C][C]1412.60714285714[/C][C]42.6825599405668[/C][C]33.09565182651[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 28 )[/C][C]1407.96428571429[/C][C]41.1437715667211[/C][C]34.2205935941252[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 28 )[/C][C]1406.13095238095[/C][C]40.5610105461363[/C][C]34.6670591646513[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 28 )[/C][C]1402.02380952381[/C][C]39.5187667431167[/C][C]35.4774180742371[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 28 )[/C][C]1402.02380952381[/C][C]39.0106307362369[/C][C]35.9395319445956[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 28 )[/C][C]1398.17857142857[/C][C]36.6835374035994[/C][C]38.1146059074276[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 28 )[/C][C]1401.60714285714[/C][C]35.5082918320325[/C][C]39.47267160829[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 28 )[/C][C]1402.28571428571[/C][C]33.1171860588727[/C][C]42.3431420710944[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 28 )[/C][C]1412.52380952381[/C][C]31.4486051606298[/C][C]44.9153087174796[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 28 )[/C][C]1397.77380952381[/C][C]28.9829333878661[/C][C]48.2274789379669[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 28 )[/C][C]1409.55952380952[/C][C]27.0055632227359[/C][C]52.1951537238378[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 28 )[/C][C]1412.57142857143[/C][C]26.2661380369563[/C][C]53.7791824052682[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 28 )[/C][C]1408.57142857143[/C][C]25.303313692013[/C][C]55.6674689219083[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 28 )[/C][C]1406.19047619048[/C][C]23.1932592302318[/C][C]60.6292743176665[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 28 )[/C][C]1405.88095238095[/C][C]23.0771263214185[/C][C]60.920971389584[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 28 )[/C][C]1405.2380952381[/C][C]22.7564093160401[/C][C]61.751310398851[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 28 )[/C][C]1410.2380952381[/C][C]21.3188213898555[/C][C]66.1499090146304[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 28 )[/C][C]1394.69512195122[/C][C]64.6920034576094[/C][C]21.5590033915879[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 28 )[/C][C]1391.4375[/C][C]61.4136314491253[/C][C]22.6568184809696[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 28 )[/C][C]1388.08974358974[/C][C]57.5757769541492[/C][C]24.1089190111174[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 28 )[/C][C]1390.84210526316[/C][C]54.9885986671737[/C][C]25.293281497887[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 28 )[/C][C]1393.7972972973[/C][C]51.9552358363853[/C][C]26.8268880866323[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 28 )[/C][C]1398.47222222222[/C][C]49.0934003809403[/C][C]28.4859515000137[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 28 )[/C][C]1403.57142857143[/C][C]45.7667846838915[/C][C]30.6679055185068[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 28 )[/C][C]1405.55882352941[/C][C]44.1126112139066[/C][C]31.8629703581525[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 28 )[/C][C]1407.5303030303[/C][C]42.4246938454171[/C][C]33.1771469738573[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 28 )[/C][C]1406.921875[/C][C]41.3103412956135[/C][C]34.0573771814709[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 28 )[/C][C]1406.74193548387[/C][C]40.1054198845527[/C][C]35.0761054125182[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 28 )[/C][C]1405.45[/C][C]39.1203880334412[/C][C]35.9262796370676[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 28 )[/C][C]1404.58620689655[/C][C]38.1444783786863[/C][C]36.8227923567931[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 28 )[/C][C]1404.19642857143[/C][C]37.2439432855384[/C][C]37.7026787364019[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 28 )[/C][C]1403.98148148148[/C][C]36.2369279617732[/C][C]38.7444952001053[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 28 )[/C][C]1404.19230769231[/C][C]35.1829954134179[/C][C]39.9111073742397[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 28 )[/C][C]1404.42[/C][C]33.955361934187[/C][C]41.3607724966112[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 28 )[/C][C]1405.0625[/C][C]32.8792035611779[/C][C]42.7340795340622[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 28 )[/C][C]1405.41304347826[/C][C]31.743957180467[/C][C]44.273404084071[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 28 )[/C][C]1405.72727272727[/C][C]30.7858895843768[/C][C]45.661414748939[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 28 )[/C][C]1405.04761904762[/C][C]29.8841929009925[/C][C]47.016415122958[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 28 )[/C][C]1405.775[/C][C]29.2203495894249[/C][C]48.1094517948123[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 28 )[/C][C]1405.39473684211[/C][C]28.7399568573391[/C][C]48.9003774020357[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 28 )[/C][C]1404.66666666667[/C][C]28.2068324493445[/C][C]49.7988091782106[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 28 )[/C][C]1404.26470588235[/C][C]27.6566131516918[/C][C]50.7750062590889[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 28 )[/C][C]1404.0625[/C][C]27.3585415062056[/C][C]51.3208096155829[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 28 )[/C][C]1403.86666666667[/C][C]26.8722278263729[/C][C]52.2422880505979[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 28 )[/C][C]1403.71428571429[/C][C]26.1705263123972[/C][C]53.6372203202246[/C][/ROW]
[ROW][C]Median[/C][C]1394[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]1638[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]1397.09302325581[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]1405.04761904762[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]1397.09302325581[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]1405.04761904762[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]1405.04761904762[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]1397.09302325581[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]1405.04761904762[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]1405.72727272727[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]84[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119827&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119827&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 Mean1400.488095238168.529494330862620.4362823469336
Geometric Mean1174.3306446187
Harmonic Mean756.218404538144
Quadratic Mean1533.34898413338
Winsorized Mean ( 1 / 28 )1397.7976190476267.489071340195520.7114661868982
Winsorized Mean ( 2 / 28 )1397.6547619047667.414516309124720.7322523163396
Winsorized Mean ( 3 / 28 )1380.6190476190563.289046564319721.8145022332726
Winsorized Mean ( 4 / 28 )1380.4285714285763.188362522427521.846246940465
Winsorized Mean ( 5 / 28 )1373.761904761960.885949594443422.5628722868318
Winsorized Mean ( 6 / 28 )1372.9761904761960.451357325243622.7120820974992
Winsorized Mean ( 7 / 28 )1392.3095238095252.015317198235626.7672985344546
Winsorized Mean ( 8 / 28 )1393.1666666666750.817529968259627.4150803381595
Winsorized Mean ( 9 / 28 )1411.7023809523846.822453618634330.1501154221989
Winsorized Mean ( 10 / 28 )1408.2546.162404061817430.5064267908182
Winsorized Mean ( 11 / 28 )1416.8928571428643.830398687095632.326716150999
Winsorized Mean ( 12 / 28 )1412.6071428571442.682559940566833.09565182651
Winsorized Mean ( 13 / 28 )1407.9642857142941.143771566721134.2205935941252
Winsorized Mean ( 14 / 28 )1406.1309523809540.561010546136334.6670591646513
Winsorized Mean ( 15 / 28 )1402.0238095238139.518766743116735.4774180742371
Winsorized Mean ( 16 / 28 )1402.0238095238139.010630736236935.9395319445956
Winsorized Mean ( 17 / 28 )1398.1785714285736.683537403599438.1146059074276
Winsorized Mean ( 18 / 28 )1401.6071428571435.508291832032539.47267160829
Winsorized Mean ( 19 / 28 )1402.2857142857133.117186058872742.3431420710944
Winsorized Mean ( 20 / 28 )1412.5238095238131.448605160629844.9153087174796
Winsorized Mean ( 21 / 28 )1397.7738095238128.982933387866148.2274789379669
Winsorized Mean ( 22 / 28 )1409.5595238095227.005563222735952.1951537238378
Winsorized Mean ( 23 / 28 )1412.5714285714326.266138036956353.7791824052682
Winsorized Mean ( 24 / 28 )1408.5714285714325.30331369201355.6674689219083
Winsorized Mean ( 25 / 28 )1406.1904761904823.193259230231860.6292743176665
Winsorized Mean ( 26 / 28 )1405.8809523809523.077126321418560.920971389584
Winsorized Mean ( 27 / 28 )1405.238095238122.756409316040161.751310398851
Winsorized Mean ( 28 / 28 )1410.238095238121.318821389855566.1499090146304
Trimmed Mean ( 1 / 28 )1394.6951219512264.692003457609421.5590033915879
Trimmed Mean ( 2 / 28 )1391.437561.413631449125322.6568184809696
Trimmed Mean ( 3 / 28 )1388.0897435897457.575776954149224.1089190111174
Trimmed Mean ( 4 / 28 )1390.8421052631654.988598667173725.293281497887
Trimmed Mean ( 5 / 28 )1393.797297297351.955235836385326.8268880866323
Trimmed Mean ( 6 / 28 )1398.4722222222249.093400380940328.4859515000137
Trimmed Mean ( 7 / 28 )1403.5714285714345.766784683891530.6679055185068
Trimmed Mean ( 8 / 28 )1405.5588235294144.112611213906631.8629703581525
Trimmed Mean ( 9 / 28 )1407.530303030342.424693845417133.1771469738573
Trimmed Mean ( 10 / 28 )1406.92187541.310341295613534.0573771814709
Trimmed Mean ( 11 / 28 )1406.7419354838740.105419884552735.0761054125182
Trimmed Mean ( 12 / 28 )1405.4539.120388033441235.9262796370676
Trimmed Mean ( 13 / 28 )1404.5862068965538.144478378686336.8227923567931
Trimmed Mean ( 14 / 28 )1404.1964285714337.243943285538437.7026787364019
Trimmed Mean ( 15 / 28 )1403.9814814814836.236927961773238.7444952001053
Trimmed Mean ( 16 / 28 )1404.1923076923135.182995413417939.9111073742397
Trimmed Mean ( 17 / 28 )1404.4233.95536193418741.3607724966112
Trimmed Mean ( 18 / 28 )1405.062532.879203561177942.7340795340622
Trimmed Mean ( 19 / 28 )1405.4130434782631.74395718046744.273404084071
Trimmed Mean ( 20 / 28 )1405.7272727272730.785889584376845.661414748939
Trimmed Mean ( 21 / 28 )1405.0476190476229.884192900992547.016415122958
Trimmed Mean ( 22 / 28 )1405.77529.220349589424948.1094517948123
Trimmed Mean ( 23 / 28 )1405.3947368421128.739956857339148.9003774020357
Trimmed Mean ( 24 / 28 )1404.6666666666728.206832449344549.7988091782106
Trimmed Mean ( 25 / 28 )1404.2647058823527.656613151691850.7750062590889
Trimmed Mean ( 26 / 28 )1404.062527.358541506205651.3208096155829
Trimmed Mean ( 27 / 28 )1403.8666666666726.872227826372952.2422880505979
Trimmed Mean ( 28 / 28 )1403.7142857142926.170526312397253.6372203202246
Median1394
Midrange1638
Midmean - Weighted Average at Xnp1397.09302325581
Midmean - Weighted Average at X(n+1)p1405.04761904762
Midmean - Empirical Distribution Function1397.09302325581
Midmean - Empirical Distribution Function - Averaging1405.04761904762
Midmean - Empirical Distribution Function - Interpolation1405.04761904762
Midmean - Closest Observation1397.09302325581
Midmean - True Basic - Statistics Graphics Toolkit1405.04761904762
Midmean - MS Excel (old versions)1405.72727272727
Number of observations84



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
geomean <- function(x) {
return(exp(mean(log(x))))
}
harmean <- function(x) {
return(1/mean(1/x))
}
quamean <- function(x) {
return(sqrt(mean(x*x)))
}
winmean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
win <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
win[j,1] <- (j*x[j+1]+sum(x[(j+1):(n-j)])+j*x[n-j])/n
win[j,2] <- sd(c(rep(x[j+1],j),x[(j+1):(n-j)],rep(x[n-j],j)))/sqrtn
}
return(win)
}
trimean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
tri <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
tri[j,1] <- mean(x,trim=j/n)
tri[j,2] <- sd(x[(j+1):(n-j)]) / sqrt(n-j*2)
}
return(tri)
}
midrange <- function(x) {
return((max(x)+min(x))/2)
}
q1 <- function(data,n,p,i,f) {
np <- n*p;
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q2 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q3 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
q4 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- (data[i]+data[i+1])/2
} else {
qvalue <- data[i+1]
}
}
q5 <- function(data,n,p,i,f) {
np <- (n-1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i+1]
} else {
qvalue <- data[i+1] + f*(data[i+2]-data[i+1])
}
}
q6 <- function(data,n,p,i,f) {
np <- n*p+0.5
i <<- floor(np)
f <<- np - i
qvalue <- data[i]
}
q7 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- f*data[i] + (1-f)*data[i+1]
}
}
q8 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
if (f == 0.5) {
qvalue <- (data[i]+data[i+1])/2
} else {
if (f < 0.5) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
}
}
midmean <- function(x,def) {
x <-sort(x[!is.na(x)])
n<-length(x)
if (def==1) {
qvalue1 <- q1(x,n,0.25,i,f)
qvalue3 <- q1(x,n,0.75,i,f)
}
if (def==2) {
qvalue1 <- q2(x,n,0.25,i,f)
qvalue3 <- q2(x,n,0.75,i,f)
}
if (def==3) {
qvalue1 <- q3(x,n,0.25,i,f)
qvalue3 <- q3(x,n,0.75,i,f)
}
if (def==4) {
qvalue1 <- q4(x,n,0.25,i,f)
qvalue3 <- q4(x,n,0.75,i,f)
}
if (def==5) {
qvalue1 <- q5(x,n,0.25,i,f)
qvalue3 <- q5(x,n,0.75,i,f)
}
if (def==6) {
qvalue1 <- q6(x,n,0.25,i,f)
qvalue3 <- q6(x,n,0.75,i,f)
}
if (def==7) {
qvalue1 <- q7(x,n,0.25,i,f)
qvalue3 <- q7(x,n,0.75,i,f)
}
if (def==8) {
qvalue1 <- q8(x,n,0.25,i,f)
qvalue3 <- q8(x,n,0.75,i,f)
}
midm <- 0
myn <- 0
roundno4 <- round(n/4)
round3no4 <- round(3*n/4)
for (i in 1:n) {
if ((x[i]>=qvalue1) & (x[i]<=qvalue3)){
midm = midm + x[i]
myn = myn + 1
}
}
midm = midm / myn
return(midm)
}
(arm <- mean(x))
sqrtn <- sqrt(length(x))
(armse <- sd(x) / sqrtn)
(armose <- arm / armse)
(geo <- geomean(x))
(har <- harmean(x))
(qua <- quamean(x))
(win <- winmean(x))
(tri <- trimean(x))
(midr <- midrange(x))
midm <- array(NA,dim=8)
for (j in 1:8) midm[j] <- midmean(x,j)
midm
bitmap(file='test1.png')
lb <- win[,1] - 2*win[,2]
ub <- win[,1] + 2*win[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(win[,1],type='b',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(win[,1],type='l',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
bitmap(file='test2.png')
lb <- tri[,1] - 2*tri[,2]
ub <- tri[,1] + 2*tri[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(tri[,1],type='b',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(tri[,1],type='l',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Central Tendency - Ungrouped Data',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Measure',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.element(a,'S.E.',header=TRUE)
a<-table.element(a,'Value/S.E.',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('arithmetic_mean.htm', 'Arithmetic Mean', 'click to view the definition of the Arithmetic Mean'),header=TRUE)
a<-table.element(a,arm)
a<-table.element(a,hyperlink('arithmetic_mean_standard_error.htm', armse, 'click to view the definition of the Standard Error of the Arithmetic Mean'))
a<-table.element(a,armose)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('geometric_mean.htm', 'Geometric Mean', 'click to view the definition of the Geometric Mean'),header=TRUE)
a<-table.element(a,geo)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('harmonic_mean.htm', 'Harmonic Mean', 'click to view the definition of the Harmonic Mean'),header=TRUE)
a<-table.element(a,har)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('quadratic_mean.htm', 'Quadratic Mean', 'click to view the definition of the Quadratic Mean'),header=TRUE)
a<-table.element(a,qua)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
for (j in 1:length(win[,1])) {
a<-table.row.start(a)
mylabel <- paste('Winsorized Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(win[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('winsorized_mean.htm', mylabel, 'click to view the definition of the Winsorized Mean'),header=TRUE)
a<-table.element(a,win[j,1])
a<-table.element(a,win[j,2])
a<-table.element(a,win[j,1]/win[j,2])
a<-table.row.end(a)
}
for (j in 1:length(tri[,1])) {
a<-table.row.start(a)
mylabel <- paste('Trimmed Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(tri[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('arithmetic_mean.htm', mylabel, 'click to view the definition of the Trimmed Mean'),header=TRUE)
a<-table.element(a,tri[j,1])
a<-table.element(a,tri[j,2])
a<-table.element(a,tri[j,1]/tri[j,2])
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,hyperlink('median_1.htm', 'Median', 'click to view the definition of the Median'),header=TRUE)
a<-table.element(a,median(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('midrange.htm', 'Midrange', 'click to view the definition of the Midrange'),header=TRUE)
a<-table.element(a,midr)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_1.htm','Weighted Average at Xnp',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[1])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_2.htm','Weighted Average at X(n+1)p',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[2])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_3.htm','Empirical Distribution Function',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[3])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_4.htm','Empirical Distribution Function - Averaging',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[4])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_5.htm','Empirical Distribution Function - Interpolation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[5])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_6.htm','Closest Observation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[6])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_7.htm','True Basic - Statistics Graphics Toolkit',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[7])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_8.htm','MS Excel (old versions)',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[8])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')