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R Software Module

rwasp_centraltendency.wasp

Title produced by software

Central Tendency

Date of computation

Mon, 15 Dec 2014 20:19:31 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/15/t1418674778qypd0qktpmd48fe.htm/, Retrieved Thu, 16 May 2024 17:51:53 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268996, Retrieved Thu, 16 May 2024 17:51:53 +0000

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Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Chi-squared test] [2014-11-02 11:21:00] [5c51c91cab622bcf955f01721b682696]
- R  D  [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 17:26:49] [e493208d2907342b139e6792bbaea494]
-    D    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 17:30:24] [e493208d2907342b139e6792bbaea494]
-    D      [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 17:36:06] [e493208d2907342b139e6792bbaea494]
-    D        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 17:38:19] [e493208d2907342b139e6792bbaea494]
-    D          [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 17:39:21] [e493208d2907342b139e6792bbaea494]
-    D            [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 17:40:38] [e493208d2907342b139e6792bbaea494]
-    D              [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 18:43:34] [e493208d2907342b139e6792bbaea494]
-    D                [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 18:53:25] [e493208d2907342b139e6792bbaea494]
-    D                  [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 18:54:41] [e493208d2907342b139e6792bbaea494]
-    D                    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 18:55:52] [e493208d2907342b139e6792bbaea494]
-    D                      [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 18:56:38] [e493208d2907342b139e6792bbaea494]
-    D                        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 18:59:28] [e493208d2907342b139e6792bbaea494]
-    D                          [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 19:00:52] [e493208d2907342b139e6792bbaea494]
-    D                            [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 19:02:37] [e493208d2907342b139e6792bbaea494]
-    D                              [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 19:03:31] [e493208d2907342b139e6792bbaea494]
-    D                                [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 19:04:30] [e493208d2907342b139e6792bbaea494]
-    D                                  [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 19:05:26] [e493208d2907342b139e6792bbaea494]
-    D                                    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 19:06:29] [e493208d2907342b139e6792bbaea494]
-    D                                      [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 19:07:30] [e493208d2907342b139e6792bbaea494]
-    D                                        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-15 19:08:04] [e493208d2907342b139e6792bbaea494]
- RM D                                            [Central Tendency] [] [2014-12-15 20:19:31] [04df4205f362f56e0d1a9032a00a5d3d] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268996&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268996&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268996&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 Output	view raw output of R engine
Computing time	2 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Central Tendency - Ungrouped Data
Measure	Value	S.E.	Value/S.E.
Arithmetic Mean	2.49999999990555e-07	0.248740211659478	1.00506467499836e-06
Geometric Mean	NaN
Harmonic Mean	1.15682496754489
Quadratic Mean	2.09592227805436
Winsorized Mean ( 1 / 24 )	0.00264233333333333	0.245638316565946	0.0107570079874894
Winsorized Mean ( 2 / 24 )	-0.014546	0.239926873265454	-0.0606268060014535
Winsorized Mean ( 3 / 24 )	-0.0188268333333333	0.236027667356934	-0.0797653662562464
Winsorized Mean ( 4 / 24 )	-0.00850016666666667	0.226376178340506	-0.0375488566375613
Winsorized Mean ( 5 / 24 )	-0.00626058333333335	0.22504270941896	-0.0278195341208681
Winsorized Mean ( 6 / 24 )	0.02059275	0.218422435748857	0.0942794632309551
Winsorized Mean ( 7 / 24 )	0.0943455277777778	0.201292224384079	0.468699315467648
Winsorized Mean ( 8 / 24 )	0.123079972222222	0.189320550419588	0.650114168532905
Winsorized Mean ( 9 / 24 )	0.126811222222222	0.184629998495724	0.686839751153219
Winsorized Mean ( 10 / 24 )	0.1391265	0.179842902086074	0.773600172073588
Winsorized Mean ( 11 / 24 )	0.1573865	0.171680905808215	0.916738522895591
Winsorized Mean ( 12 / 24 )	0.1720515	0.167288352432835	1.02847267904726
Winsorized Mean ( 13 / 24 )	0.226851916666667	0.157761569710164	1.43794155372207
Winsorized Mean ( 14 / 24 )	0.222016083333333	0.146625478568532	1.51417124432139
Winsorized Mean ( 15 / 24 )	0.209559833333333	0.137536901725385	1.52366260039617
Winsorized Mean ( 16 / 24 )	0.2095665	0.133841175488429	1.56578496292509
Winsorized Mean ( 17 / 24 )	0.274598583333333	0.122906429523301	2.23420844945523
Winsorized Mean ( 18 / 24 )	0.292252333333333	0.117682245898271	2.48340207227152
Winsorized Mean ( 19 / 24 )	0.287032875	0.113886711365223	2.52033684667137
Winsorized Mean ( 20 / 24 )	0.278317041666667	0.110590353833209	2.51664844192849
Winsorized Mean ( 21 / 24 )	0.302894333333333	0.105940647419393	2.85909460354957
Winsorized Mean ( 22 / 24 )	0.284799027777778	0.102698946836293	2.77314457987346
Winsorized Mean ( 23 / 24 )	0.293038777777778	0.0920874956069081	3.18217773049955
Winsorized Mean ( 24 / 24 )	0.265179111111111	0.0876940661702584	3.02391168173528
Trimmed Mean ( 1 / 24 )	0.0189212571428571	0.236358269923473	0.0800532900709731
Trimmed Mean ( 2 / 24 )	0.0361577647058824	0.225254741505528	0.160519438854942
Trimmed Mean ( 3 / 24 )	0.0638143636363636	0.215633814038318	0.295938574944577
Trimmed Mean ( 4 / 24 )	0.0948048125	0.205826955086875	0.460604455135554
Trimmed Mean ( 5 / 24 )	0.124796580645161	0.197671393861462	0.631333538997682
Trimmed Mean ( 6 / 24 )	0.1562503	0.188097826372617	0.830686366840159
Trimmed Mean ( 7 / 24 )	0.184317379310345	0.178391535693134	1.03321818826317
Trimmed Mean ( 8 / 24 )	0.200842821428571	0.171462148066711	1.17135369930411
Trimmed Mean ( 9 / 24 )	0.213803296296296	0.166038395695969	1.28767382628647
Trimmed Mean ( 10 / 24 )	0.227186692307692	0.160406544357573	1.41631810109477
Trimmed Mean ( 11 / 24 )	0.23986736	0.154474036247086	1.55280049532936
Trimmed Mean ( 12 / 24 )	0.25111475	0.148916147942181	1.68628287442339
Trimmed Mean ( 13 / 24 )	0.261427347826087	0.142838741033726	1.83022719140573
Trimmed Mean ( 14 / 24 )	0.2657795	0.137341728182162	1.93516932921861
Trimmed Mean ( 15 / 24 )	0.271138285714286	0.132815959178092	2.04145862735305
Trimmed Mean ( 16 / 24 )	0.2785277	0.128935988269022	2.16020138162558
Trimmed Mean ( 17 / 24 )	0.286694157894737	0.124541278959811	2.30200107377452
Trimmed Mean ( 18 / 24 )	0.288117166666667	0.121326873137808	2.37471847098055
Trimmed Mean ( 19 / 24 )	0.287630676470588	0.118082781335556	2.43583927493397
Trimmed Mean ( 20 / 24 )	0.28770146875	0.114381202708683	2.51528627026895
Trimmed Mean ( 21 / 24 )	0.2888276	0.109863624259129	2.62896479110101
Trimmed Mean ( 22 / 24 )	0.287105142857143	0.104578358519582	2.74535904867337
Trimmed Mean ( 23 / 24 )	0.287395423076923	0.0976110105231555	2.94429308268196
Trimmed Mean ( 24 / 24 )	0.286659333333333	0.0910635575541976	3.14790395886658
Median	0.319774
Midrange	-0.662235
Midmean - Weighted Average at Xnp	0.252886162162162
Midmean - Weighted Average at X(n+1)p	0.288117166666667
Midmean - Empirical Distribution Function	0.252886162162162
Midmean - Empirical Distribution Function - Averaging	0.288117166666667
Midmean - Empirical Distribution Function - Interpolation	0.288117166666667
Midmean - Closest Observation	0.252886162162162
Midmean - True Basic - Statistics Graphics Toolkit	0.288117166666667
Midmean - MS Excel (old versions)	0.286694157894737
Number of observations	72

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 2.49999999990555e-07 & 0.248740211659478 & 1.00506467499836e-06 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & 1.15682496754489 &  &  \tabularnewline
Quadratic Mean & 2.09592227805436 &  &  \tabularnewline
Winsorized Mean ( 1 / 24 ) & 0.00264233333333333 & 0.245638316565946 & 0.0107570079874894 \tabularnewline
Winsorized Mean ( 2 / 24 ) & -0.014546 & 0.239926873265454 & -0.0606268060014535 \tabularnewline
Winsorized Mean ( 3 / 24 ) & -0.0188268333333333 & 0.236027667356934 & -0.0797653662562464 \tabularnewline
Winsorized Mean ( 4 / 24 ) & -0.00850016666666667 & 0.226376178340506 & -0.0375488566375613 \tabularnewline
Winsorized Mean ( 5 / 24 ) & -0.00626058333333335 & 0.22504270941896 & -0.0278195341208681 \tabularnewline
Winsorized Mean ( 6 / 24 ) & 0.02059275 & 0.218422435748857 & 0.0942794632309551 \tabularnewline
Winsorized Mean ( 7 / 24 ) & 0.0943455277777778 & 0.201292224384079 & 0.468699315467648 \tabularnewline
Winsorized Mean ( 8 / 24 ) & 0.123079972222222 & 0.189320550419588 & 0.650114168532905 \tabularnewline
Winsorized Mean ( 9 / 24 ) & 0.126811222222222 & 0.184629998495724 & 0.686839751153219 \tabularnewline
Winsorized Mean ( 10 / 24 ) & 0.1391265 & 0.179842902086074 & 0.773600172073588 \tabularnewline
Winsorized Mean ( 11 / 24 ) & 0.1573865 & 0.171680905808215 & 0.916738522895591 \tabularnewline
Winsorized Mean ( 12 / 24 ) & 0.1720515 & 0.167288352432835 & 1.02847267904726 \tabularnewline
Winsorized Mean ( 13 / 24 ) & 0.226851916666667 & 0.157761569710164 & 1.43794155372207 \tabularnewline
Winsorized Mean ( 14 / 24 ) & 0.222016083333333 & 0.146625478568532 & 1.51417124432139 \tabularnewline
Winsorized Mean ( 15 / 24 ) & 0.209559833333333 & 0.137536901725385 & 1.52366260039617 \tabularnewline
Winsorized Mean ( 16 / 24 ) & 0.2095665 & 0.133841175488429 & 1.56578496292509 \tabularnewline
Winsorized Mean ( 17 / 24 ) & 0.274598583333333 & 0.122906429523301 & 2.23420844945523 \tabularnewline
Winsorized Mean ( 18 / 24 ) & 0.292252333333333 & 0.117682245898271 & 2.48340207227152 \tabularnewline
Winsorized Mean ( 19 / 24 ) & 0.287032875 & 0.113886711365223 & 2.52033684667137 \tabularnewline
Winsorized Mean ( 20 / 24 ) & 0.278317041666667 & 0.110590353833209 & 2.51664844192849 \tabularnewline
Winsorized Mean ( 21 / 24 ) & 0.302894333333333 & 0.105940647419393 & 2.85909460354957 \tabularnewline
Winsorized Mean ( 22 / 24 ) & 0.284799027777778 & 0.102698946836293 & 2.77314457987346 \tabularnewline
Winsorized Mean ( 23 / 24 ) & 0.293038777777778 & 0.0920874956069081 & 3.18217773049955 \tabularnewline
Winsorized Mean ( 24 / 24 ) & 0.265179111111111 & 0.0876940661702584 & 3.02391168173528 \tabularnewline
Trimmed Mean ( 1 / 24 ) & 0.0189212571428571 & 0.236358269923473 & 0.0800532900709731 \tabularnewline
Trimmed Mean ( 2 / 24 ) & 0.0361577647058824 & 0.225254741505528 & 0.160519438854942 \tabularnewline
Trimmed Mean ( 3 / 24 ) & 0.0638143636363636 & 0.215633814038318 & 0.295938574944577 \tabularnewline
Trimmed Mean ( 4 / 24 ) & 0.0948048125 & 0.205826955086875 & 0.460604455135554 \tabularnewline
Trimmed Mean ( 5 / 24 ) & 0.124796580645161 & 0.197671393861462 & 0.631333538997682 \tabularnewline
Trimmed Mean ( 6 / 24 ) & 0.1562503 & 0.188097826372617 & 0.830686366840159 \tabularnewline
Trimmed Mean ( 7 / 24 ) & 0.184317379310345 & 0.178391535693134 & 1.03321818826317 \tabularnewline
Trimmed Mean ( 8 / 24 ) & 0.200842821428571 & 0.171462148066711 & 1.17135369930411 \tabularnewline
Trimmed Mean ( 9 / 24 ) & 0.213803296296296 & 0.166038395695969 & 1.28767382628647 \tabularnewline
Trimmed Mean ( 10 / 24 ) & 0.227186692307692 & 0.160406544357573 & 1.41631810109477 \tabularnewline
Trimmed Mean ( 11 / 24 ) & 0.23986736 & 0.154474036247086 & 1.55280049532936 \tabularnewline
Trimmed Mean ( 12 / 24 ) & 0.25111475 & 0.148916147942181 & 1.68628287442339 \tabularnewline
Trimmed Mean ( 13 / 24 ) & 0.261427347826087 & 0.142838741033726 & 1.83022719140573 \tabularnewline
Trimmed Mean ( 14 / 24 ) & 0.2657795 & 0.137341728182162 & 1.93516932921861 \tabularnewline
Trimmed Mean ( 15 / 24 ) & 0.271138285714286 & 0.132815959178092 & 2.04145862735305 \tabularnewline
Trimmed Mean ( 16 / 24 ) & 0.2785277 & 0.128935988269022 & 2.16020138162558 \tabularnewline
Trimmed Mean ( 17 / 24 ) & 0.286694157894737 & 0.124541278959811 & 2.30200107377452 \tabularnewline
Trimmed Mean ( 18 / 24 ) & 0.288117166666667 & 0.121326873137808 & 2.37471847098055 \tabularnewline
Trimmed Mean ( 19 / 24 ) & 0.287630676470588 & 0.118082781335556 & 2.43583927493397 \tabularnewline
Trimmed Mean ( 20 / 24 ) & 0.28770146875 & 0.114381202708683 & 2.51528627026895 \tabularnewline
Trimmed Mean ( 21 / 24 ) & 0.2888276 & 0.109863624259129 & 2.62896479110101 \tabularnewline
Trimmed Mean ( 22 / 24 ) & 0.287105142857143 & 0.104578358519582 & 2.74535904867337 \tabularnewline
Trimmed Mean ( 23 / 24 ) & 0.287395423076923 & 0.0976110105231555 & 2.94429308268196 \tabularnewline
Trimmed Mean ( 24 / 24 ) & 0.286659333333333 & 0.0910635575541976 & 3.14790395886658 \tabularnewline
Median & 0.319774 &  &  \tabularnewline
Midrange & -0.662235 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 0.252886162162162 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 0.288117166666667 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 0.252886162162162 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 0.288117166666667 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 0.288117166666667 &  &  \tabularnewline
Midmean - Closest Observation & 0.252886162162162 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 0.288117166666667 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 0.286694157894737 &  &  \tabularnewline
Number of observations & 72 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268996&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]2.49999999990555e-07[/C][C]0.248740211659478[/C][C]1.00506467499836e-06[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]1.15682496754489[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]2.09592227805436[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 24 )[/C][C]0.00264233333333333[/C][C]0.245638316565946[/C][C]0.0107570079874894[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 24 )[/C][C]-0.014546[/C][C]0.239926873265454[/C][C]-0.0606268060014535[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 24 )[/C][C]-0.0188268333333333[/C][C]0.236027667356934[/C][C]-0.0797653662562464[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 24 )[/C][C]-0.00850016666666667[/C][C]0.226376178340506[/C][C]-0.0375488566375613[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 24 )[/C][C]-0.00626058333333335[/C][C]0.22504270941896[/C][C]-0.0278195341208681[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 24 )[/C][C]0.02059275[/C][C]0.218422435748857[/C][C]0.0942794632309551[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 24 )[/C][C]0.0943455277777778[/C][C]0.201292224384079[/C][C]0.468699315467648[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 24 )[/C][C]0.123079972222222[/C][C]0.189320550419588[/C][C]0.650114168532905[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 24 )[/C][C]0.126811222222222[/C][C]0.184629998495724[/C][C]0.686839751153219[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 24 )[/C][C]0.1391265[/C][C]0.179842902086074[/C][C]0.773600172073588[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 24 )[/C][C]0.1573865[/C][C]0.171680905808215[/C][C]0.916738522895591[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 24 )[/C][C]0.1720515[/C][C]0.167288352432835[/C][C]1.02847267904726[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 24 )[/C][C]0.226851916666667[/C][C]0.157761569710164[/C][C]1.43794155372207[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 24 )[/C][C]0.222016083333333[/C][C]0.146625478568532[/C][C]1.51417124432139[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 24 )[/C][C]0.209559833333333[/C][C]0.137536901725385[/C][C]1.52366260039617[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 24 )[/C][C]0.2095665[/C][C]0.133841175488429[/C][C]1.56578496292509[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 24 )[/C][C]0.274598583333333[/C][C]0.122906429523301[/C][C]2.23420844945523[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 24 )[/C][C]0.292252333333333[/C][C]0.117682245898271[/C][C]2.48340207227152[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 24 )[/C][C]0.287032875[/C][C]0.113886711365223[/C][C]2.52033684667137[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 24 )[/C][C]0.278317041666667[/C][C]0.110590353833209[/C][C]2.51664844192849[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 24 )[/C][C]0.302894333333333[/C][C]0.105940647419393[/C][C]2.85909460354957[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 24 )[/C][C]0.284799027777778[/C][C]0.102698946836293[/C][C]2.77314457987346[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 24 )[/C][C]0.293038777777778[/C][C]0.0920874956069081[/C][C]3.18217773049955[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 24 )[/C][C]0.265179111111111[/C][C]0.0876940661702584[/C][C]3.02391168173528[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 24 )[/C][C]0.0189212571428571[/C][C]0.236358269923473[/C][C]0.0800532900709731[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 24 )[/C][C]0.0361577647058824[/C][C]0.225254741505528[/C][C]0.160519438854942[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 24 )[/C][C]0.0638143636363636[/C][C]0.215633814038318[/C][C]0.295938574944577[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 24 )[/C][C]0.0948048125[/C][C]0.205826955086875[/C][C]0.460604455135554[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 24 )[/C][C]0.124796580645161[/C][C]0.197671393861462[/C][C]0.631333538997682[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 24 )[/C][C]0.1562503[/C][C]0.188097826372617[/C][C]0.830686366840159[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 24 )[/C][C]0.184317379310345[/C][C]0.178391535693134[/C][C]1.03321818826317[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 24 )[/C][C]0.200842821428571[/C][C]0.171462148066711[/C][C]1.17135369930411[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 24 )[/C][C]0.213803296296296[/C][C]0.166038395695969[/C][C]1.28767382628647[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 24 )[/C][C]0.227186692307692[/C][C]0.160406544357573[/C][C]1.41631810109477[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 24 )[/C][C]0.23986736[/C][C]0.154474036247086[/C][C]1.55280049532936[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 24 )[/C][C]0.25111475[/C][C]0.148916147942181[/C][C]1.68628287442339[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 24 )[/C][C]0.261427347826087[/C][C]0.142838741033726[/C][C]1.83022719140573[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 24 )[/C][C]0.2657795[/C][C]0.137341728182162[/C][C]1.93516932921861[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 24 )[/C][C]0.271138285714286[/C][C]0.132815959178092[/C][C]2.04145862735305[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 24 )[/C][C]0.2785277[/C][C]0.128935988269022[/C][C]2.16020138162558[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 24 )[/C][C]0.286694157894737[/C][C]0.124541278959811[/C][C]2.30200107377452[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 24 )[/C][C]0.288117166666667[/C][C]0.121326873137808[/C][C]2.37471847098055[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 24 )[/C][C]0.287630676470588[/C][C]0.118082781335556[/C][C]2.43583927493397[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 24 )[/C][C]0.28770146875[/C][C]0.114381202708683[/C][C]2.51528627026895[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 24 )[/C][C]0.2888276[/C][C]0.109863624259129[/C][C]2.62896479110101[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 24 )[/C][C]0.287105142857143[/C][C]0.104578358519582[/C][C]2.74535904867337[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 24 )[/C][C]0.287395423076923[/C][C]0.0976110105231555[/C][C]2.94429308268196[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 24 )[/C][C]0.286659333333333[/C][C]0.0910635575541976[/C][C]3.14790395886658[/C][/ROW]
[ROW][C]Median[/C][C]0.319774[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]-0.662235[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]0.252886162162162[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]0.288117166666667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]0.252886162162162[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]0.288117166666667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]0.288117166666667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]0.252886162162162[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]0.288117166666667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]0.286694157894737[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268996&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268996&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
Measure	Value	S.E.	Value/S.E.
Arithmetic Mean	2.49999999990555e-07	0.248740211659478	1.00506467499836e-06
Geometric Mean	NaN
Harmonic Mean	1.15682496754489
Quadratic Mean	2.09592227805436
Winsorized Mean ( 1 / 24 )	0.00264233333333333	0.245638316565946	0.0107570079874894
Winsorized Mean ( 2 / 24 )	-0.014546	0.239926873265454	-0.0606268060014535
Winsorized Mean ( 3 / 24 )	-0.0188268333333333	0.236027667356934	-0.0797653662562464
Winsorized Mean ( 4 / 24 )	-0.00850016666666667	0.226376178340506	-0.0375488566375613
Winsorized Mean ( 5 / 24 )	-0.00626058333333335	0.22504270941896	-0.0278195341208681
Winsorized Mean ( 6 / 24 )	0.02059275	0.218422435748857	0.0942794632309551
Winsorized Mean ( 7 / 24 )	0.0943455277777778	0.201292224384079	0.468699315467648
Winsorized Mean ( 8 / 24 )	0.123079972222222	0.189320550419588	0.650114168532905
Winsorized Mean ( 9 / 24 )	0.126811222222222	0.184629998495724	0.686839751153219
Winsorized Mean ( 10 / 24 )	0.1391265	0.179842902086074	0.773600172073588
Winsorized Mean ( 11 / 24 )	0.1573865	0.171680905808215	0.916738522895591
Winsorized Mean ( 12 / 24 )	0.1720515	0.167288352432835	1.02847267904726
Winsorized Mean ( 13 / 24 )	0.226851916666667	0.157761569710164	1.43794155372207
Winsorized Mean ( 14 / 24 )	0.222016083333333	0.146625478568532	1.51417124432139
Winsorized Mean ( 15 / 24 )	0.209559833333333	0.137536901725385	1.52366260039617
Winsorized Mean ( 16 / 24 )	0.2095665	0.133841175488429	1.56578496292509
Winsorized Mean ( 17 / 24 )	0.274598583333333	0.122906429523301	2.23420844945523
Winsorized Mean ( 18 / 24 )	0.292252333333333	0.117682245898271	2.48340207227152
Winsorized Mean ( 19 / 24 )	0.287032875	0.113886711365223	2.52033684667137
Winsorized Mean ( 20 / 24 )	0.278317041666667	0.110590353833209	2.51664844192849
Winsorized Mean ( 21 / 24 )	0.302894333333333	0.105940647419393	2.85909460354957
Winsorized Mean ( 22 / 24 )	0.284799027777778	0.102698946836293	2.77314457987346
Winsorized Mean ( 23 / 24 )	0.293038777777778	0.0920874956069081	3.18217773049955
Winsorized Mean ( 24 / 24 )	0.265179111111111	0.0876940661702584	3.02391168173528
Trimmed Mean ( 1 / 24 )	0.0189212571428571	0.236358269923473	0.0800532900709731
Trimmed Mean ( 2 / 24 )	0.0361577647058824	0.225254741505528	0.160519438854942
Trimmed Mean ( 3 / 24 )	0.0638143636363636	0.215633814038318	0.295938574944577
Trimmed Mean ( 4 / 24 )	0.0948048125	0.205826955086875	0.460604455135554
Trimmed Mean ( 5 / 24 )	0.124796580645161	0.197671393861462	0.631333538997682
Trimmed Mean ( 6 / 24 )	0.1562503	0.188097826372617	0.830686366840159
Trimmed Mean ( 7 / 24 )	0.184317379310345	0.178391535693134	1.03321818826317
Trimmed Mean ( 8 / 24 )	0.200842821428571	0.171462148066711	1.17135369930411
Trimmed Mean ( 9 / 24 )	0.213803296296296	0.166038395695969	1.28767382628647
Trimmed Mean ( 10 / 24 )	0.227186692307692	0.160406544357573	1.41631810109477
Trimmed Mean ( 11 / 24 )	0.23986736	0.154474036247086	1.55280049532936
Trimmed Mean ( 12 / 24 )	0.25111475	0.148916147942181	1.68628287442339
Trimmed Mean ( 13 / 24 )	0.261427347826087	0.142838741033726	1.83022719140573
Trimmed Mean ( 14 / 24 )	0.2657795	0.137341728182162	1.93516932921861
Trimmed Mean ( 15 / 24 )	0.271138285714286	0.132815959178092	2.04145862735305
Trimmed Mean ( 16 / 24 )	0.2785277	0.128935988269022	2.16020138162558
Trimmed Mean ( 17 / 24 )	0.286694157894737	0.124541278959811	2.30200107377452
Trimmed Mean ( 18 / 24 )	0.288117166666667	0.121326873137808	2.37471847098055
Trimmed Mean ( 19 / 24 )	0.287630676470588	0.118082781335556	2.43583927493397
Trimmed Mean ( 20 / 24 )	0.28770146875	0.114381202708683	2.51528627026895
Trimmed Mean ( 21 / 24 )	0.2888276	0.109863624259129	2.62896479110101
Trimmed Mean ( 22 / 24 )	0.287105142857143	0.104578358519582	2.74535904867337
Trimmed Mean ( 23 / 24 )	0.287395423076923	0.0976110105231555	2.94429308268196
Trimmed Mean ( 24 / 24 )	0.286659333333333	0.0910635575541976	3.14790395886658
Median	0.319774
Midrange	-0.662235
Midmean - Weighted Average at Xnp	0.252886162162162
Midmean - Weighted Average at X(n+1)p	0.288117166666667
Midmean - Empirical Distribution Function	0.252886162162162
Midmean - Empirical Distribution Function - Averaging	0.288117166666667
Midmean - Empirical Distribution Function - Interpolation	0.288117166666667
Midmean - Closest Observation	0.252886162162162
Midmean - True Basic - Statistics Graphics Toolkit	0.288117166666667
Midmean - MS Excel (old versions)	0.286694157894737
Number of observations	72

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Squared ;

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code