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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, 29 Jul 2010 11:55:58 +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/2010/Jul/29/t1280404577ljffomu3ztwbwef.htm/, Retrieved Sun, 28 Apr 2024 19:30:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78165, Retrieved Sun, 28 Apr 2024 19:30:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsHoes Isabelle
Estimated Impact159
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [TIJDREEKS B - STAP 7] [2010-07-28 10:57:21] [0b48553e7c30a6637a1907066e9be3d4]
- RMP     [Central Tendency] [TIJDREEKS B - STAP 9] [2010-07-29 11:55:58] [35611de12c9fa8a4a915f3548e0dcd01] [Current]
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Dataseries X:
158
157
156
154
152
151
152
154
155
155
156
158
156
152
145
141
140
145
143
141
144
139
141
142
141
132
122
122
127
128
122
123
128
128
128
129
124
121
109
110
107
107
104
110
114
118
117
122
113
106
102
111
106
110
105
104
106
110
107
111
101
105
108
124
122
128
124
121
125
134
126
126
111
117
118
128
127
129
124
113
120
127
114
107




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78165&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78165&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78165&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' @ 72.249.127.135







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean126.7857142857141.8427939877191068.8008074318941
Geometric Mean125.700048318972
Harmonic Mean124.645379529474
Quadratic Mean127.89243992698
Winsorized Mean ( 1 / 28 )126.7976190476191.8408243995156668.8808878679469
Winsorized Mean ( 2 / 28 )126.8214285714291.8285804490060169.3551266176815
Winsorized Mean ( 3 / 28 )126.7857142857141.8215790270056769.6020937911907
Winsorized Mean ( 4 / 28 )126.8333333333331.8145388276388569.898384868608
Winsorized Mean ( 5 / 28 )126.8333333333331.8145388276388569.898384868608
Winsorized Mean ( 6 / 28 )126.8333333333331.7906682096959070.830169791685
Winsorized Mean ( 7 / 28 )126.8333333333331.7906682096959070.830169791685
Winsorized Mean ( 8 / 28 )126.7380952380951.7728201524868371.4895388910789
Winsorized Mean ( 9 / 28 )126.8452380952381.757982698759972.153860322241
Winsorized Mean ( 10 / 28 )126.6071428571431.7145740458421573.8417469715967
Winsorized Mean ( 11 / 28 )126.6071428571431.7145740458421573.8417469715967
Winsorized Mean ( 12 / 28 )126.6071428571431.7145740458421573.8417469715967
Winsorized Mean ( 13 / 28 )126.6071428571431.6660369886658175.9929963851112
Winsorized Mean ( 14 / 28 )125.7738095238101.4761783307849085.2023139080591
Winsorized Mean ( 15 / 28 )125.9523809523811.4521340421970086.7360569288921
Winsorized Mean ( 16 / 28 )125.7619047619051.4223665208673188.4173684608517
Winsorized Mean ( 17 / 28 )125.5595238095241.3914490923956590.236519967359
Winsorized Mean ( 18 / 28 )125.3452380952381.3594502583964792.2028866602947
Winsorized Mean ( 19 / 28 )125.3452380952381.2958176741063696.7306131101205
Winsorized Mean ( 20 / 28 )125.3452380952381.2958176741063696.7306131101205
Winsorized Mean ( 21 / 28 )125.3452380952381.2958176741063696.7306131101205
Winsorized Mean ( 22 / 28 )125.8690476190481.22776024824359102.519240054492
Winsorized Mean ( 23 / 28 )125.5952380952381.18741718286194105.771787631139
Winsorized Mean ( 24 / 28 )125.5952380952381.10948539647234113.201344059664
Winsorized Mean ( 25 / 28 )124.1071428571430.901808258211873137.620321977563
Winsorized Mean ( 26 / 28 )124.4166666666670.69775649273891178.309579289320
Winsorized Mean ( 27 / 28 )123.4523809523810.578195493957344213.513218699502
Winsorized Mean ( 28 / 28 )123.7857142857140.534004730665147231.806400163401
Trimmed Mean ( 1 / 28 )126.7195121951221.8214713892218269.5698614564898
Trimmed Mean ( 2 / 28 )126.63751.7986672061152570.4062983799605
Trimmed Mean ( 3 / 28 )126.5384615384621.7791567395427171.1227171423836
Trimmed Mean ( 4 / 28 )126.4473684210531.7589265802418971.8889405853786
Trimmed Mean ( 5 / 28 )126.3378378378381.7370962918681772.7293233134284
Trimmed Mean ( 6 / 28 )126.2222222222221.7109403812961673.7735946863325
Trimmed Mean ( 7 / 28 )126.11.6857888533179474.8017758877763
Trimmed Mean ( 8 / 28 )125.9705882352941.6554603544567076.093992765315
Trimmed Mean ( 9 / 28 )125.8484848484851.6230051300989477.5404110033917
Trimmed Mean ( 10 / 28 )125.7031251.5867256403324779.2217140788505
Trimmed Mean ( 11 / 28 )125.5806451612901.5519470357744780.9181255973865
Trimmed Mean ( 12 / 28 )125.451.5093727885082883.1139934117818
Trimmed Mean ( 13 / 28 )125.3103448275861.4570285453010186.0040424271154
Trimmed Mean ( 14 / 28 )125.1607142857141.4024044254571389.2472328336504
Trimmed Mean ( 15 / 28 )125.0925925925931.3739282764460391.0473965323516
Trimmed Mean ( 16 / 28 )1251.3422589635344493.12658987268
Trimmed Mean ( 17 / 28 )124.921.3080098607878995.5038671686718
Trimmed Mean ( 18 / 28 )124.8541666666671.2705717089145798.2661315301343
Trimmed Mean ( 19 / 28 )124.8043478260871.22912307816298101.539341375492
Trimmed Mean ( 20 / 28 )124.751.18888661116491104.930107571626
Trimmed Mean ( 21 / 28 )124.6904761904761.13567843146544109.793822560828
Trimmed Mean ( 22 / 28 )124.6251.06439310985542117.085500503595
Trimmed Mean ( 23 / 28 )124.50.98477022902956126.425430349056
Trimmed Mean ( 24 / 28 )124.3888888888890.886653936336985140.290234770483
Trimmed Mean ( 25 / 28 )124.2647058823530.77195589671272160.973841137193
Trimmed Mean ( 26 / 28 )124.281250.687202098214435180.851092164767
Trimmed Mean ( 27 / 28 )124.2666666666670.639564027751616194.299024451900
Trimmed Mean ( 28 / 28 )124.3571428571430.609046191839672204.183433905912
Median124
Midrange129.5
Midmean - Weighted Average at Xnp124.804347826087
Midmean - Weighted Average at X(n+1)p124.804347826087
Midmean - Empirical Distribution Function124.804347826087
Midmean - Empirical Distribution Function - Averaging124.804347826087
Midmean - Empirical Distribution Function - Interpolation124.804347826087
Midmean - Closest Observation124.804347826087
Midmean - True Basic - Statistics Graphics Toolkit124.804347826087
Midmean - MS Excel (old versions)124.804347826087
Number of observations84

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 126.785714285714 & 1.84279398771910 & 68.8008074318941 \tabularnewline
Geometric Mean & 125.700048318972 &  &  \tabularnewline
Harmonic Mean & 124.645379529474 &  &  \tabularnewline
Quadratic Mean & 127.89243992698 &  &  \tabularnewline
Winsorized Mean ( 1 / 28 ) & 126.797619047619 & 1.84082439951566 & 68.8808878679469 \tabularnewline
Winsorized Mean ( 2 / 28 ) & 126.821428571429 & 1.82858044900601 & 69.3551266176815 \tabularnewline
Winsorized Mean ( 3 / 28 ) & 126.785714285714 & 1.82157902700567 & 69.6020937911907 \tabularnewline
Winsorized Mean ( 4 / 28 ) & 126.833333333333 & 1.81453882763885 & 69.898384868608 \tabularnewline
Winsorized Mean ( 5 / 28 ) & 126.833333333333 & 1.81453882763885 & 69.898384868608 \tabularnewline
Winsorized Mean ( 6 / 28 ) & 126.833333333333 & 1.79066820969590 & 70.830169791685 \tabularnewline
Winsorized Mean ( 7 / 28 ) & 126.833333333333 & 1.79066820969590 & 70.830169791685 \tabularnewline
Winsorized Mean ( 8 / 28 ) & 126.738095238095 & 1.77282015248683 & 71.4895388910789 \tabularnewline
Winsorized Mean ( 9 / 28 ) & 126.845238095238 & 1.7579826987599 & 72.153860322241 \tabularnewline
Winsorized Mean ( 10 / 28 ) & 126.607142857143 & 1.71457404584215 & 73.8417469715967 \tabularnewline
Winsorized Mean ( 11 / 28 ) & 126.607142857143 & 1.71457404584215 & 73.8417469715967 \tabularnewline
Winsorized Mean ( 12 / 28 ) & 126.607142857143 & 1.71457404584215 & 73.8417469715967 \tabularnewline
Winsorized Mean ( 13 / 28 ) & 126.607142857143 & 1.66603698866581 & 75.9929963851112 \tabularnewline
Winsorized Mean ( 14 / 28 ) & 125.773809523810 & 1.47617833078490 & 85.2023139080591 \tabularnewline
Winsorized Mean ( 15 / 28 ) & 125.952380952381 & 1.45213404219700 & 86.7360569288921 \tabularnewline
Winsorized Mean ( 16 / 28 ) & 125.761904761905 & 1.42236652086731 & 88.4173684608517 \tabularnewline
Winsorized Mean ( 17 / 28 ) & 125.559523809524 & 1.39144909239565 & 90.236519967359 \tabularnewline
Winsorized Mean ( 18 / 28 ) & 125.345238095238 & 1.35945025839647 & 92.2028866602947 \tabularnewline
Winsorized Mean ( 19 / 28 ) & 125.345238095238 & 1.29581767410636 & 96.7306131101205 \tabularnewline
Winsorized Mean ( 20 / 28 ) & 125.345238095238 & 1.29581767410636 & 96.7306131101205 \tabularnewline
Winsorized Mean ( 21 / 28 ) & 125.345238095238 & 1.29581767410636 & 96.7306131101205 \tabularnewline
Winsorized Mean ( 22 / 28 ) & 125.869047619048 & 1.22776024824359 & 102.519240054492 \tabularnewline
Winsorized Mean ( 23 / 28 ) & 125.595238095238 & 1.18741718286194 & 105.771787631139 \tabularnewline
Winsorized Mean ( 24 / 28 ) & 125.595238095238 & 1.10948539647234 & 113.201344059664 \tabularnewline
Winsorized Mean ( 25 / 28 ) & 124.107142857143 & 0.901808258211873 & 137.620321977563 \tabularnewline
Winsorized Mean ( 26 / 28 ) & 124.416666666667 & 0.69775649273891 & 178.309579289320 \tabularnewline
Winsorized Mean ( 27 / 28 ) & 123.452380952381 & 0.578195493957344 & 213.513218699502 \tabularnewline
Winsorized Mean ( 28 / 28 ) & 123.785714285714 & 0.534004730665147 & 231.806400163401 \tabularnewline
Trimmed Mean ( 1 / 28 ) & 126.719512195122 & 1.82147138922182 & 69.5698614564898 \tabularnewline
Trimmed Mean ( 2 / 28 ) & 126.6375 & 1.79866720611525 & 70.4062983799605 \tabularnewline
Trimmed Mean ( 3 / 28 ) & 126.538461538462 & 1.77915673954271 & 71.1227171423836 \tabularnewline
Trimmed Mean ( 4 / 28 ) & 126.447368421053 & 1.75892658024189 & 71.8889405853786 \tabularnewline
Trimmed Mean ( 5 / 28 ) & 126.337837837838 & 1.73709629186817 & 72.7293233134284 \tabularnewline
Trimmed Mean ( 6 / 28 ) & 126.222222222222 & 1.71094038129616 & 73.7735946863325 \tabularnewline
Trimmed Mean ( 7 / 28 ) & 126.1 & 1.68578885331794 & 74.8017758877763 \tabularnewline
Trimmed Mean ( 8 / 28 ) & 125.970588235294 & 1.65546035445670 & 76.093992765315 \tabularnewline
Trimmed Mean ( 9 / 28 ) & 125.848484848485 & 1.62300513009894 & 77.5404110033917 \tabularnewline
Trimmed Mean ( 10 / 28 ) & 125.703125 & 1.58672564033247 & 79.2217140788505 \tabularnewline
Trimmed Mean ( 11 / 28 ) & 125.580645161290 & 1.55194703577447 & 80.9181255973865 \tabularnewline
Trimmed Mean ( 12 / 28 ) & 125.45 & 1.50937278850828 & 83.1139934117818 \tabularnewline
Trimmed Mean ( 13 / 28 ) & 125.310344827586 & 1.45702854530101 & 86.0040424271154 \tabularnewline
Trimmed Mean ( 14 / 28 ) & 125.160714285714 & 1.40240442545713 & 89.2472328336504 \tabularnewline
Trimmed Mean ( 15 / 28 ) & 125.092592592593 & 1.37392827644603 & 91.0473965323516 \tabularnewline
Trimmed Mean ( 16 / 28 ) & 125 & 1.34225896353444 & 93.12658987268 \tabularnewline
Trimmed Mean ( 17 / 28 ) & 124.92 & 1.30800986078789 & 95.5038671686718 \tabularnewline
Trimmed Mean ( 18 / 28 ) & 124.854166666667 & 1.27057170891457 & 98.2661315301343 \tabularnewline
Trimmed Mean ( 19 / 28 ) & 124.804347826087 & 1.22912307816298 & 101.539341375492 \tabularnewline
Trimmed Mean ( 20 / 28 ) & 124.75 & 1.18888661116491 & 104.930107571626 \tabularnewline
Trimmed Mean ( 21 / 28 ) & 124.690476190476 & 1.13567843146544 & 109.793822560828 \tabularnewline
Trimmed Mean ( 22 / 28 ) & 124.625 & 1.06439310985542 & 117.085500503595 \tabularnewline
Trimmed Mean ( 23 / 28 ) & 124.5 & 0.98477022902956 & 126.425430349056 \tabularnewline
Trimmed Mean ( 24 / 28 ) & 124.388888888889 & 0.886653936336985 & 140.290234770483 \tabularnewline
Trimmed Mean ( 25 / 28 ) & 124.264705882353 & 0.77195589671272 & 160.973841137193 \tabularnewline
Trimmed Mean ( 26 / 28 ) & 124.28125 & 0.687202098214435 & 180.851092164767 \tabularnewline
Trimmed Mean ( 27 / 28 ) & 124.266666666667 & 0.639564027751616 & 194.299024451900 \tabularnewline
Trimmed Mean ( 28 / 28 ) & 124.357142857143 & 0.609046191839672 & 204.183433905912 \tabularnewline
Median & 124 &  &  \tabularnewline
Midrange & 129.5 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 124.804347826087 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 124.804347826087 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 124.804347826087 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 124.804347826087 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 124.804347826087 &  &  \tabularnewline
Midmean - Closest Observation & 124.804347826087 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 124.804347826087 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 124.804347826087 &  &  \tabularnewline
Number of observations & 84 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78165&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]126.785714285714[/C][C]1.84279398771910[/C][C]68.8008074318941[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]125.700048318972[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]124.645379529474[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]127.89243992698[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 28 )[/C][C]126.797619047619[/C][C]1.84082439951566[/C][C]68.8808878679469[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 28 )[/C][C]126.821428571429[/C][C]1.82858044900601[/C][C]69.3551266176815[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 28 )[/C][C]126.785714285714[/C][C]1.82157902700567[/C][C]69.6020937911907[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 28 )[/C][C]126.833333333333[/C][C]1.81453882763885[/C][C]69.898384868608[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 28 )[/C][C]126.833333333333[/C][C]1.81453882763885[/C][C]69.898384868608[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 28 )[/C][C]126.833333333333[/C][C]1.79066820969590[/C][C]70.830169791685[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 28 )[/C][C]126.833333333333[/C][C]1.79066820969590[/C][C]70.830169791685[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 28 )[/C][C]126.738095238095[/C][C]1.77282015248683[/C][C]71.4895388910789[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 28 )[/C][C]126.845238095238[/C][C]1.7579826987599[/C][C]72.153860322241[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 28 )[/C][C]126.607142857143[/C][C]1.71457404584215[/C][C]73.8417469715967[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 28 )[/C][C]126.607142857143[/C][C]1.71457404584215[/C][C]73.8417469715967[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 28 )[/C][C]126.607142857143[/C][C]1.71457404584215[/C][C]73.8417469715967[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 28 )[/C][C]126.607142857143[/C][C]1.66603698866581[/C][C]75.9929963851112[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 28 )[/C][C]125.773809523810[/C][C]1.47617833078490[/C][C]85.2023139080591[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 28 )[/C][C]125.952380952381[/C][C]1.45213404219700[/C][C]86.7360569288921[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 28 )[/C][C]125.761904761905[/C][C]1.42236652086731[/C][C]88.4173684608517[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 28 )[/C][C]125.559523809524[/C][C]1.39144909239565[/C][C]90.236519967359[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 28 )[/C][C]125.345238095238[/C][C]1.35945025839647[/C][C]92.2028866602947[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 28 )[/C][C]125.345238095238[/C][C]1.29581767410636[/C][C]96.7306131101205[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 28 )[/C][C]125.345238095238[/C][C]1.29581767410636[/C][C]96.7306131101205[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 28 )[/C][C]125.345238095238[/C][C]1.29581767410636[/C][C]96.7306131101205[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 28 )[/C][C]125.869047619048[/C][C]1.22776024824359[/C][C]102.519240054492[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 28 )[/C][C]125.595238095238[/C][C]1.18741718286194[/C][C]105.771787631139[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 28 )[/C][C]125.595238095238[/C][C]1.10948539647234[/C][C]113.201344059664[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 28 )[/C][C]124.107142857143[/C][C]0.901808258211873[/C][C]137.620321977563[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 28 )[/C][C]124.416666666667[/C][C]0.69775649273891[/C][C]178.309579289320[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 28 )[/C][C]123.452380952381[/C][C]0.578195493957344[/C][C]213.513218699502[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 28 )[/C][C]123.785714285714[/C][C]0.534004730665147[/C][C]231.806400163401[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 28 )[/C][C]126.719512195122[/C][C]1.82147138922182[/C][C]69.5698614564898[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 28 )[/C][C]126.6375[/C][C]1.79866720611525[/C][C]70.4062983799605[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 28 )[/C][C]126.538461538462[/C][C]1.77915673954271[/C][C]71.1227171423836[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 28 )[/C][C]126.447368421053[/C][C]1.75892658024189[/C][C]71.8889405853786[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 28 )[/C][C]126.337837837838[/C][C]1.73709629186817[/C][C]72.7293233134284[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 28 )[/C][C]126.222222222222[/C][C]1.71094038129616[/C][C]73.7735946863325[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 28 )[/C][C]126.1[/C][C]1.68578885331794[/C][C]74.8017758877763[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 28 )[/C][C]125.970588235294[/C][C]1.65546035445670[/C][C]76.093992765315[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 28 )[/C][C]125.848484848485[/C][C]1.62300513009894[/C][C]77.5404110033917[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 28 )[/C][C]125.703125[/C][C]1.58672564033247[/C][C]79.2217140788505[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 28 )[/C][C]125.580645161290[/C][C]1.55194703577447[/C][C]80.9181255973865[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 28 )[/C][C]125.45[/C][C]1.50937278850828[/C][C]83.1139934117818[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 28 )[/C][C]125.310344827586[/C][C]1.45702854530101[/C][C]86.0040424271154[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 28 )[/C][C]125.160714285714[/C][C]1.40240442545713[/C][C]89.2472328336504[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 28 )[/C][C]125.092592592593[/C][C]1.37392827644603[/C][C]91.0473965323516[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 28 )[/C][C]125[/C][C]1.34225896353444[/C][C]93.12658987268[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 28 )[/C][C]124.92[/C][C]1.30800986078789[/C][C]95.5038671686718[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 28 )[/C][C]124.854166666667[/C][C]1.27057170891457[/C][C]98.2661315301343[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 28 )[/C][C]124.804347826087[/C][C]1.22912307816298[/C][C]101.539341375492[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 28 )[/C][C]124.75[/C][C]1.18888661116491[/C][C]104.930107571626[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 28 )[/C][C]124.690476190476[/C][C]1.13567843146544[/C][C]109.793822560828[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 28 )[/C][C]124.625[/C][C]1.06439310985542[/C][C]117.085500503595[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 28 )[/C][C]124.5[/C][C]0.98477022902956[/C][C]126.425430349056[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 28 )[/C][C]124.388888888889[/C][C]0.886653936336985[/C][C]140.290234770483[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 28 )[/C][C]124.264705882353[/C][C]0.77195589671272[/C][C]160.973841137193[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 28 )[/C][C]124.28125[/C][C]0.687202098214435[/C][C]180.851092164767[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 28 )[/C][C]124.266666666667[/C][C]0.639564027751616[/C][C]194.299024451900[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 28 )[/C][C]124.357142857143[/C][C]0.609046191839672[/C][C]204.183433905912[/C][/ROW]
[ROW][C]Median[/C][C]124[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]129.5[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]124.804347826087[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]124.804347826087[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]124.804347826087[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]124.804347826087[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]124.804347826087[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]124.804347826087[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]124.804347826087[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]124.804347826087[/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=78165&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78165&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 Mean126.7857142857141.8427939877191068.8008074318941
Geometric Mean125.700048318972
Harmonic Mean124.645379529474
Quadratic Mean127.89243992698
Winsorized Mean ( 1 / 28 )126.7976190476191.8408243995156668.8808878679469
Winsorized Mean ( 2 / 28 )126.8214285714291.8285804490060169.3551266176815
Winsorized Mean ( 3 / 28 )126.7857142857141.8215790270056769.6020937911907
Winsorized Mean ( 4 / 28 )126.8333333333331.8145388276388569.898384868608
Winsorized Mean ( 5 / 28 )126.8333333333331.8145388276388569.898384868608
Winsorized Mean ( 6 / 28 )126.8333333333331.7906682096959070.830169791685
Winsorized Mean ( 7 / 28 )126.8333333333331.7906682096959070.830169791685
Winsorized Mean ( 8 / 28 )126.7380952380951.7728201524868371.4895388910789
Winsorized Mean ( 9 / 28 )126.8452380952381.757982698759972.153860322241
Winsorized Mean ( 10 / 28 )126.6071428571431.7145740458421573.8417469715967
Winsorized Mean ( 11 / 28 )126.6071428571431.7145740458421573.8417469715967
Winsorized Mean ( 12 / 28 )126.6071428571431.7145740458421573.8417469715967
Winsorized Mean ( 13 / 28 )126.6071428571431.6660369886658175.9929963851112
Winsorized Mean ( 14 / 28 )125.7738095238101.4761783307849085.2023139080591
Winsorized Mean ( 15 / 28 )125.9523809523811.4521340421970086.7360569288921
Winsorized Mean ( 16 / 28 )125.7619047619051.4223665208673188.4173684608517
Winsorized Mean ( 17 / 28 )125.5595238095241.3914490923956590.236519967359
Winsorized Mean ( 18 / 28 )125.3452380952381.3594502583964792.2028866602947
Winsorized Mean ( 19 / 28 )125.3452380952381.2958176741063696.7306131101205
Winsorized Mean ( 20 / 28 )125.3452380952381.2958176741063696.7306131101205
Winsorized Mean ( 21 / 28 )125.3452380952381.2958176741063696.7306131101205
Winsorized Mean ( 22 / 28 )125.8690476190481.22776024824359102.519240054492
Winsorized Mean ( 23 / 28 )125.5952380952381.18741718286194105.771787631139
Winsorized Mean ( 24 / 28 )125.5952380952381.10948539647234113.201344059664
Winsorized Mean ( 25 / 28 )124.1071428571430.901808258211873137.620321977563
Winsorized Mean ( 26 / 28 )124.4166666666670.69775649273891178.309579289320
Winsorized Mean ( 27 / 28 )123.4523809523810.578195493957344213.513218699502
Winsorized Mean ( 28 / 28 )123.7857142857140.534004730665147231.806400163401
Trimmed Mean ( 1 / 28 )126.7195121951221.8214713892218269.5698614564898
Trimmed Mean ( 2 / 28 )126.63751.7986672061152570.4062983799605
Trimmed Mean ( 3 / 28 )126.5384615384621.7791567395427171.1227171423836
Trimmed Mean ( 4 / 28 )126.4473684210531.7589265802418971.8889405853786
Trimmed Mean ( 5 / 28 )126.3378378378381.7370962918681772.7293233134284
Trimmed Mean ( 6 / 28 )126.2222222222221.7109403812961673.7735946863325
Trimmed Mean ( 7 / 28 )126.11.6857888533179474.8017758877763
Trimmed Mean ( 8 / 28 )125.9705882352941.6554603544567076.093992765315
Trimmed Mean ( 9 / 28 )125.8484848484851.6230051300989477.5404110033917
Trimmed Mean ( 10 / 28 )125.7031251.5867256403324779.2217140788505
Trimmed Mean ( 11 / 28 )125.5806451612901.5519470357744780.9181255973865
Trimmed Mean ( 12 / 28 )125.451.5093727885082883.1139934117818
Trimmed Mean ( 13 / 28 )125.3103448275861.4570285453010186.0040424271154
Trimmed Mean ( 14 / 28 )125.1607142857141.4024044254571389.2472328336504
Trimmed Mean ( 15 / 28 )125.0925925925931.3739282764460391.0473965323516
Trimmed Mean ( 16 / 28 )1251.3422589635344493.12658987268
Trimmed Mean ( 17 / 28 )124.921.3080098607878995.5038671686718
Trimmed Mean ( 18 / 28 )124.8541666666671.2705717089145798.2661315301343
Trimmed Mean ( 19 / 28 )124.8043478260871.22912307816298101.539341375492
Trimmed Mean ( 20 / 28 )124.751.18888661116491104.930107571626
Trimmed Mean ( 21 / 28 )124.6904761904761.13567843146544109.793822560828
Trimmed Mean ( 22 / 28 )124.6251.06439310985542117.085500503595
Trimmed Mean ( 23 / 28 )124.50.98477022902956126.425430349056
Trimmed Mean ( 24 / 28 )124.3888888888890.886653936336985140.290234770483
Trimmed Mean ( 25 / 28 )124.2647058823530.77195589671272160.973841137193
Trimmed Mean ( 26 / 28 )124.281250.687202098214435180.851092164767
Trimmed Mean ( 27 / 28 )124.2666666666670.639564027751616194.299024451900
Trimmed Mean ( 28 / 28 )124.3571428571430.609046191839672204.183433905912
Median124
Midrange129.5
Midmean - Weighted Average at Xnp124.804347826087
Midmean - Weighted Average at X(n+1)p124.804347826087
Midmean - Empirical Distribution Function124.804347826087
Midmean - Empirical Distribution Function - Averaging124.804347826087
Midmean - Empirical Distribution Function - Interpolation124.804347826087
Midmean - Closest Observation124.804347826087
Midmean - True Basic - Statistics Graphics Toolkit124.804347826087
Midmean - MS Excel (old versions)124.804347826087
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')