FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 15:51:30 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/27/t1225144325eqt5v7ez6jze1ge.htm/, Retrieved Sun, 19 May 2024 05:55:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19668, Retrieved Sun, 19 May 2024 05:55:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact171

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
-    D  [Harrell-Davis Quantiles] [Q9 Confidence Int...] [2008-10-25 13:59:54] [87cabf13a90315c7085b765dcebb7412]
F           [Harrell-Davis Quantiles] [Q9] [2008-10-27 21:51:30] [f6a332ba2d530c028d935c5a5bbb53af] [Current]
- R P         [Harrell-Davis Quantiles] [feedback taak 3 t...] [2008-10-28 20:55:52] [46c5a5fbda57fdfa1d4ef48658f82a0c]
-   P           [Harrell-Davis Quantiles] [Verbetering task ...] [2008-11-03 07:20:47] [33f4701c7363e8b81858dafbf0350eed]
Feedback Forum
2008-10-28 20:58:26 [Ken Van den Heuvel] [reply] 
Je had van de quantile waarden de mean moeten aftrekken van de datareeks om de random component over te houden...op die manier kan je dan ook een betrouwbaarheidsinterval bekomen voor die random component.

y = c + e waar c een constante is namelijk de mean. e = y - c = y - mean.
of in de R code x <- x-7.66470588235294 (dit je jouw mean) toevoegen.

Als je dit had gedaan bekwam je het volgende: http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/28/t1225227400kka57g4n15ix8e9.htm

-1.08284942557190 en 0.842366096899617 als je grenzen bij respectievelijk 10% en 90% (gezien je kiest voor een betrouwheidsinterval van 80%, waarvoor trouwens ook geen verklaring werd gegeven).
2008-11-03 07:23:12 [Jeroen Michel] [reply] 
Hier is het dus van groot belang, net zoals de vorige student vermeld, de kengetallen af te trekken van de bekomen data. Wanneer je dit doet bekom je onderstaande resultaten. Probeer ook onderstaande berekening opnieuw uit te voeren.

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Nov/03/t1225696891smuern3be3476lm.htm, Retrieved Mon, 03 Nov 2008 07:21:33 +0000

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7.4
7.2
7.1
6.9
6.8
6.8
6.8
6.9
6.7
6.6
6.5
6.4
6.3
6.3
6.3
6.5
6.6
6.5
6.4
6.5
6.7
7.1
7.1
7.2
7.2
7.3
7.3
7.3
7.3
7.4
7.6
7.6
7.6
7.7
7.8
7.9
8.1
8.1
8.1
8.2
8.2
8.2
8.2
8.2
8.2
8.3
8.3
8.4
8.4
8.4
8.3
8.0
8.0
8.2
8.6
8.7
8.7
8.5
8.4
8.4
8.4
8.5
8.5
8.5
8.5
8.5
8.4
8.4
8.4
8.5
8.6
8.6
8.6
8.6
8.5
8.4
8.4
8.3
8.2
8.1
8.2
8.1
8.0
7.9
7.8
7.7
7.7
7.9
7.8
7.6
7.4
7.3
7.1
7.1
7.0
7.0
7.0
6.9
6.8
6.7
6.6
6.6

Tables (Output of Computation)





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=19668&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=19668&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19668&T=0

As an alternative you can also use a QR Code:  
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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.30569145757630.0168494003880192
0.026.324806410660670.0457923031099531
0.036.357564664428640.0668432387296415
0.046.396999263215150.0730914089700334
0.056.435832142210780.0701343330593591
0.066.47052747336250.0652781188042367
0.076.500990634728090.0631668394971315
0.086.528713844593730.0648651415124886
0.096.555306747365780.0689817105228450
0.16.581856456781040.0739997937713442
0.116.60889145575440.0792475719094538
0.126.636578515466330.0844451574849752
0.136.66489793026080.089278689545313
0.146.693734448337590.0934217508748644
0.156.722929266989020.0967988987458532
0.166.752332540585280.0996140818214502
0.176.781849769193360.102263250636392
0.186.811456061390870.105030536871284
0.196.841168765068840.107937678684240
0.26.87099541675020.110723404028480
0.216.900886869632790.112984713594652
0.226.930719454398690.114358056998175
0.236.960313169471090.114681968081702
0.246.98947622547210.114044118507656
0.257.018057009589860.112777060256556
0.267.045984528320110.111351463817783
0.277.073285490573410.110243056254810
0.287.100076385021240.109828781684411
0.297.126537991228870.110292019912268
0.37.152884580834070.111666823527056
0.317.179339304390280.113900959853753
0.327.206121816779080.116949667955503
0.337.233446798994910.120853502553997
0.347.261526121152660.125663093715342
0.357.29056560305680.131456407449901
0.367.320750341263760.138108353778097
0.377.352218836562840.145330980778517
0.387.385032682639620.152633849899619
0.397.41915235436260.159406404973325
0.47.45442898516460.165063529710910
0.417.490617263526270.169165795761988
0.427.527407739094890.171514875681885
0.437.564470650924610.172159150020588
0.447.601500122795570.171380699861427
0.457.638248119319220.169578282159626
0.467.674541306741020.167172486998620
0.477.710279249368230.164517948687335
0.487.745417291162180.161826934385147
0.497.779940619327180.159142184169018
0.57.813836862523620.156384161738660
0.517.847073450356880.153383512226353
0.527.879583646455740.149934627250951
0.537.911262536763360.145839742940397
0.547.94197198438710.140959167017657
0.557.971552051625710.135222587654370
0.567.999835804196540.128658782723159
0.578.026664740891050.121337776837520
0.588.051903144742930.113429289960143
0.598.075451027091170.105124009599744
0.68.097256441913310.0966643725736863
0.618.117328167376440.088326052669299
0.628.135748733371750.0804475865227922
0.638.152685715554830.0734103632144415
0.648.16839694696310.0676627385310344
0.658.183224031627680.0636301091249771
0.668.197569353413750.0616319850899048
0.678.211855016885170.0617171578430158
0.688.22646717309070.0635987662522448
0.698.24169444630830.0666131600814273
0.78.257672880310490.069905789046271
0.718.274350596191210.0725495496162576
0.728.291482770410520.0737066204441335
0.738.308662176145160.0727877456826686
0.748.325383626528030.0695254859617585
0.758.341133642600810.0640632075445427
0.768.355490776333030.0569425473153585
0.778.368218133719380.0490259822355207
0.788.379328337232780.0413982158545413
0.798.389102890311610.0352128433512904
0.88.39805326827860.0315317184890815
0.818.406820974394260.0309267439553908
0.828.416028974860180.0330371698670996
0.838.426116265474160.0366033233980541
0.848.43720576683210.0400109542232606
0.858.449063537646760.041810468057133
0.868.461192958544750.0411533304895733
0.878.473064639776490.0381483169864235
0.888.484417131082030.034021479627203
0.898.495496582769570.0309310831432792
0.98.507071979252560.0311229329875765
0.918.520113751664170.0350242895444133
0.928.535196988687390.0401883137012517
0.938.551967731625230.0428204765507637
0.948.5692452782880.0402641401435873
0.958.586216737503730.0336004710449569
0.968.604293579569020.0298468086394963
0.978.627375297308790.0378411866964705
0.988.657223985337750.0476988065723956
0.998.685992804973680.0334548309120173

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.3056914575763 & 0.0168494003880192 \tabularnewline
0.02 & 6.32480641066067 & 0.0457923031099531 \tabularnewline
0.03 & 6.35756466442864 & 0.0668432387296415 \tabularnewline
0.04 & 6.39699926321515 & 0.0730914089700334 \tabularnewline
0.05 & 6.43583214221078 & 0.0701343330593591 \tabularnewline
0.06 & 6.4705274733625 & 0.0652781188042367 \tabularnewline
0.07 & 6.50099063472809 & 0.0631668394971315 \tabularnewline
0.08 & 6.52871384459373 & 0.0648651415124886 \tabularnewline
0.09 & 6.55530674736578 & 0.0689817105228450 \tabularnewline
0.1 & 6.58185645678104 & 0.0739997937713442 \tabularnewline
0.11 & 6.6088914557544 & 0.0792475719094538 \tabularnewline
0.12 & 6.63657851546633 & 0.0844451574849752 \tabularnewline
0.13 & 6.6648979302608 & 0.089278689545313 \tabularnewline
0.14 & 6.69373444833759 & 0.0934217508748644 \tabularnewline
0.15 & 6.72292926698902 & 0.0967988987458532 \tabularnewline
0.16 & 6.75233254058528 & 0.0996140818214502 \tabularnewline
0.17 & 6.78184976919336 & 0.102263250636392 \tabularnewline
0.18 & 6.81145606139087 & 0.105030536871284 \tabularnewline
0.19 & 6.84116876506884 & 0.107937678684240 \tabularnewline
0.2 & 6.8709954167502 & 0.110723404028480 \tabularnewline
0.21 & 6.90088686963279 & 0.112984713594652 \tabularnewline
0.22 & 6.93071945439869 & 0.114358056998175 \tabularnewline
0.23 & 6.96031316947109 & 0.114681968081702 \tabularnewline
0.24 & 6.9894762254721 & 0.114044118507656 \tabularnewline
0.25 & 7.01805700958986 & 0.112777060256556 \tabularnewline
0.26 & 7.04598452832011 & 0.111351463817783 \tabularnewline
0.27 & 7.07328549057341 & 0.110243056254810 \tabularnewline
0.28 & 7.10007638502124 & 0.109828781684411 \tabularnewline
0.29 & 7.12653799122887 & 0.110292019912268 \tabularnewline
0.3 & 7.15288458083407 & 0.111666823527056 \tabularnewline
0.31 & 7.17933930439028 & 0.113900959853753 \tabularnewline
0.32 & 7.20612181677908 & 0.116949667955503 \tabularnewline
0.33 & 7.23344679899491 & 0.120853502553997 \tabularnewline
0.34 & 7.26152612115266 & 0.125663093715342 \tabularnewline
0.35 & 7.2905656030568 & 0.131456407449901 \tabularnewline
0.36 & 7.32075034126376 & 0.138108353778097 \tabularnewline
0.37 & 7.35221883656284 & 0.145330980778517 \tabularnewline
0.38 & 7.38503268263962 & 0.152633849899619 \tabularnewline
0.39 & 7.4191523543626 & 0.159406404973325 \tabularnewline
0.4 & 7.4544289851646 & 0.165063529710910 \tabularnewline
0.41 & 7.49061726352627 & 0.169165795761988 \tabularnewline
0.42 & 7.52740773909489 & 0.171514875681885 \tabularnewline
0.43 & 7.56447065092461 & 0.172159150020588 \tabularnewline
0.44 & 7.60150012279557 & 0.171380699861427 \tabularnewline
0.45 & 7.63824811931922 & 0.169578282159626 \tabularnewline
0.46 & 7.67454130674102 & 0.167172486998620 \tabularnewline
0.47 & 7.71027924936823 & 0.164517948687335 \tabularnewline
0.48 & 7.74541729116218 & 0.161826934385147 \tabularnewline
0.49 & 7.77994061932718 & 0.159142184169018 \tabularnewline
0.5 & 7.81383686252362 & 0.156384161738660 \tabularnewline
0.51 & 7.84707345035688 & 0.153383512226353 \tabularnewline
0.52 & 7.87958364645574 & 0.149934627250951 \tabularnewline
0.53 & 7.91126253676336 & 0.145839742940397 \tabularnewline
0.54 & 7.9419719843871 & 0.140959167017657 \tabularnewline
0.55 & 7.97155205162571 & 0.135222587654370 \tabularnewline
0.56 & 7.99983580419654 & 0.128658782723159 \tabularnewline
0.57 & 8.02666474089105 & 0.121337776837520 \tabularnewline
0.58 & 8.05190314474293 & 0.113429289960143 \tabularnewline
0.59 & 8.07545102709117 & 0.105124009599744 \tabularnewline
0.6 & 8.09725644191331 & 0.0966643725736863 \tabularnewline
0.61 & 8.11732816737644 & 0.088326052669299 \tabularnewline
0.62 & 8.13574873337175 & 0.0804475865227922 \tabularnewline
0.63 & 8.15268571555483 & 0.0734103632144415 \tabularnewline
0.64 & 8.1683969469631 & 0.0676627385310344 \tabularnewline
0.65 & 8.18322403162768 & 0.0636301091249771 \tabularnewline
0.66 & 8.19756935341375 & 0.0616319850899048 \tabularnewline
0.67 & 8.21185501688517 & 0.0617171578430158 \tabularnewline
0.68 & 8.2264671730907 & 0.0635987662522448 \tabularnewline
0.69 & 8.2416944463083 & 0.0666131600814273 \tabularnewline
0.7 & 8.25767288031049 & 0.069905789046271 \tabularnewline
0.71 & 8.27435059619121 & 0.0725495496162576 \tabularnewline
0.72 & 8.29148277041052 & 0.0737066204441335 \tabularnewline
0.73 & 8.30866217614516 & 0.0727877456826686 \tabularnewline
0.74 & 8.32538362652803 & 0.0695254859617585 \tabularnewline
0.75 & 8.34113364260081 & 0.0640632075445427 \tabularnewline
0.76 & 8.35549077633303 & 0.0569425473153585 \tabularnewline
0.77 & 8.36821813371938 & 0.0490259822355207 \tabularnewline
0.78 & 8.37932833723278 & 0.0413982158545413 \tabularnewline
0.79 & 8.38910289031161 & 0.0352128433512904 \tabularnewline
0.8 & 8.3980532682786 & 0.0315317184890815 \tabularnewline
0.81 & 8.40682097439426 & 0.0309267439553908 \tabularnewline
0.82 & 8.41602897486018 & 0.0330371698670996 \tabularnewline
0.83 & 8.42611626547416 & 0.0366033233980541 \tabularnewline
0.84 & 8.4372057668321 & 0.0400109542232606 \tabularnewline
0.85 & 8.44906353764676 & 0.041810468057133 \tabularnewline
0.86 & 8.46119295854475 & 0.0411533304895733 \tabularnewline
0.87 & 8.47306463977649 & 0.0381483169864235 \tabularnewline
0.88 & 8.48441713108203 & 0.034021479627203 \tabularnewline
0.89 & 8.49549658276957 & 0.0309310831432792 \tabularnewline
0.9 & 8.50707197925256 & 0.0311229329875765 \tabularnewline
0.91 & 8.52011375166417 & 0.0350242895444133 \tabularnewline
0.92 & 8.53519698868739 & 0.0401883137012517 \tabularnewline
0.93 & 8.55196773162523 & 0.0428204765507637 \tabularnewline
0.94 & 8.569245278288 & 0.0402641401435873 \tabularnewline
0.95 & 8.58621673750373 & 0.0336004710449569 \tabularnewline
0.96 & 8.60429357956902 & 0.0298468086394963 \tabularnewline
0.97 & 8.62737529730879 & 0.0378411866964705 \tabularnewline
0.98 & 8.65722398533775 & 0.0476988065723956 \tabularnewline
0.99 & 8.68599280497368 & 0.0334548309120173 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19668&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]6.3056914575763[/C][C]0.0168494003880192[/C][/ROW]
[ROW][C]0.02[/C][C]6.32480641066067[/C][C]0.0457923031099531[/C][/ROW]
[ROW][C]0.03[/C][C]6.35756466442864[/C][C]0.0668432387296415[/C][/ROW]
[ROW][C]0.04[/C][C]6.39699926321515[/C][C]0.0730914089700334[/C][/ROW]
[ROW][C]0.05[/C][C]6.43583214221078[/C][C]0.0701343330593591[/C][/ROW]
[ROW][C]0.06[/C][C]6.4705274733625[/C][C]0.0652781188042367[/C][/ROW]
[ROW][C]0.07[/C][C]6.50099063472809[/C][C]0.0631668394971315[/C][/ROW]
[ROW][C]0.08[/C][C]6.52871384459373[/C][C]0.0648651415124886[/C][/ROW]
[ROW][C]0.09[/C][C]6.55530674736578[/C][C]0.0689817105228450[/C][/ROW]
[ROW][C]0.1[/C][C]6.58185645678104[/C][C]0.0739997937713442[/C][/ROW]
[ROW][C]0.11[/C][C]6.6088914557544[/C][C]0.0792475719094538[/C][/ROW]
[ROW][C]0.12[/C][C]6.63657851546633[/C][C]0.0844451574849752[/C][/ROW]
[ROW][C]0.13[/C][C]6.6648979302608[/C][C]0.089278689545313[/C][/ROW]
[ROW][C]0.14[/C][C]6.69373444833759[/C][C]0.0934217508748644[/C][/ROW]
[ROW][C]0.15[/C][C]6.72292926698902[/C][C]0.0967988987458532[/C][/ROW]
[ROW][C]0.16[/C][C]6.75233254058528[/C][C]0.0996140818214502[/C][/ROW]
[ROW][C]0.17[/C][C]6.78184976919336[/C][C]0.102263250636392[/C][/ROW]
[ROW][C]0.18[/C][C]6.81145606139087[/C][C]0.105030536871284[/C][/ROW]
[ROW][C]0.19[/C][C]6.84116876506884[/C][C]0.107937678684240[/C][/ROW]
[ROW][C]0.2[/C][C]6.8709954167502[/C][C]0.110723404028480[/C][/ROW]
[ROW][C]0.21[/C][C]6.90088686963279[/C][C]0.112984713594652[/C][/ROW]
[ROW][C]0.22[/C][C]6.93071945439869[/C][C]0.114358056998175[/C][/ROW]
[ROW][C]0.23[/C][C]6.96031316947109[/C][C]0.114681968081702[/C][/ROW]
[ROW][C]0.24[/C][C]6.9894762254721[/C][C]0.114044118507656[/C][/ROW]
[ROW][C]0.25[/C][C]7.01805700958986[/C][C]0.112777060256556[/C][/ROW]
[ROW][C]0.26[/C][C]7.04598452832011[/C][C]0.111351463817783[/C][/ROW]
[ROW][C]0.27[/C][C]7.07328549057341[/C][C]0.110243056254810[/C][/ROW]
[ROW][C]0.28[/C][C]7.10007638502124[/C][C]0.109828781684411[/C][/ROW]
[ROW][C]0.29[/C][C]7.12653799122887[/C][C]0.110292019912268[/C][/ROW]
[ROW][C]0.3[/C][C]7.15288458083407[/C][C]0.111666823527056[/C][/ROW]
[ROW][C]0.31[/C][C]7.17933930439028[/C][C]0.113900959853753[/C][/ROW]
[ROW][C]0.32[/C][C]7.20612181677908[/C][C]0.116949667955503[/C][/ROW]
[ROW][C]0.33[/C][C]7.23344679899491[/C][C]0.120853502553997[/C][/ROW]
[ROW][C]0.34[/C][C]7.26152612115266[/C][C]0.125663093715342[/C][/ROW]
[ROW][C]0.35[/C][C]7.2905656030568[/C][C]0.131456407449901[/C][/ROW]
[ROW][C]0.36[/C][C]7.32075034126376[/C][C]0.138108353778097[/C][/ROW]
[ROW][C]0.37[/C][C]7.35221883656284[/C][C]0.145330980778517[/C][/ROW]
[ROW][C]0.38[/C][C]7.38503268263962[/C][C]0.152633849899619[/C][/ROW]
[ROW][C]0.39[/C][C]7.4191523543626[/C][C]0.159406404973325[/C][/ROW]
[ROW][C]0.4[/C][C]7.4544289851646[/C][C]0.165063529710910[/C][/ROW]
[ROW][C]0.41[/C][C]7.49061726352627[/C][C]0.169165795761988[/C][/ROW]
[ROW][C]0.42[/C][C]7.52740773909489[/C][C]0.171514875681885[/C][/ROW]
[ROW][C]0.43[/C][C]7.56447065092461[/C][C]0.172159150020588[/C][/ROW]
[ROW][C]0.44[/C][C]7.60150012279557[/C][C]0.171380699861427[/C][/ROW]
[ROW][C]0.45[/C][C]7.63824811931922[/C][C]0.169578282159626[/C][/ROW]
[ROW][C]0.46[/C][C]7.67454130674102[/C][C]0.167172486998620[/C][/ROW]
[ROW][C]0.47[/C][C]7.71027924936823[/C][C]0.164517948687335[/C][/ROW]
[ROW][C]0.48[/C][C]7.74541729116218[/C][C]0.161826934385147[/C][/ROW]
[ROW][C]0.49[/C][C]7.77994061932718[/C][C]0.159142184169018[/C][/ROW]
[ROW][C]0.5[/C][C]7.81383686252362[/C][C]0.156384161738660[/C][/ROW]
[ROW][C]0.51[/C][C]7.84707345035688[/C][C]0.153383512226353[/C][/ROW]
[ROW][C]0.52[/C][C]7.87958364645574[/C][C]0.149934627250951[/C][/ROW]
[ROW][C]0.53[/C][C]7.91126253676336[/C][C]0.145839742940397[/C][/ROW]
[ROW][C]0.54[/C][C]7.9419719843871[/C][C]0.140959167017657[/C][/ROW]
[ROW][C]0.55[/C][C]7.97155205162571[/C][C]0.135222587654370[/C][/ROW]
[ROW][C]0.56[/C][C]7.99983580419654[/C][C]0.128658782723159[/C][/ROW]
[ROW][C]0.57[/C][C]8.02666474089105[/C][C]0.121337776837520[/C][/ROW]
[ROW][C]0.58[/C][C]8.05190314474293[/C][C]0.113429289960143[/C][/ROW]
[ROW][C]0.59[/C][C]8.07545102709117[/C][C]0.105124009599744[/C][/ROW]
[ROW][C]0.6[/C][C]8.09725644191331[/C][C]0.0966643725736863[/C][/ROW]
[ROW][C]0.61[/C][C]8.11732816737644[/C][C]0.088326052669299[/C][/ROW]
[ROW][C]0.62[/C][C]8.13574873337175[/C][C]0.0804475865227922[/C][/ROW]
[ROW][C]0.63[/C][C]8.15268571555483[/C][C]0.0734103632144415[/C][/ROW]
[ROW][C]0.64[/C][C]8.1683969469631[/C][C]0.0676627385310344[/C][/ROW]
[ROW][C]0.65[/C][C]8.18322403162768[/C][C]0.0636301091249771[/C][/ROW]
[ROW][C]0.66[/C][C]8.19756935341375[/C][C]0.0616319850899048[/C][/ROW]
[ROW][C]0.67[/C][C]8.21185501688517[/C][C]0.0617171578430158[/C][/ROW]
[ROW][C]0.68[/C][C]8.2264671730907[/C][C]0.0635987662522448[/C][/ROW]
[ROW][C]0.69[/C][C]8.2416944463083[/C][C]0.0666131600814273[/C][/ROW]
[ROW][C]0.7[/C][C]8.25767288031049[/C][C]0.069905789046271[/C][/ROW]
[ROW][C]0.71[/C][C]8.27435059619121[/C][C]0.0725495496162576[/C][/ROW]
[ROW][C]0.72[/C][C]8.29148277041052[/C][C]0.0737066204441335[/C][/ROW]
[ROW][C]0.73[/C][C]8.30866217614516[/C][C]0.0727877456826686[/C][/ROW]
[ROW][C]0.74[/C][C]8.32538362652803[/C][C]0.0695254859617585[/C][/ROW]
[ROW][C]0.75[/C][C]8.34113364260081[/C][C]0.0640632075445427[/C][/ROW]
[ROW][C]0.76[/C][C]8.35549077633303[/C][C]0.0569425473153585[/C][/ROW]
[ROW][C]0.77[/C][C]8.36821813371938[/C][C]0.0490259822355207[/C][/ROW]
[ROW][C]0.78[/C][C]8.37932833723278[/C][C]0.0413982158545413[/C][/ROW]
[ROW][C]0.79[/C][C]8.38910289031161[/C][C]0.0352128433512904[/C][/ROW]
[ROW][C]0.8[/C][C]8.3980532682786[/C][C]0.0315317184890815[/C][/ROW]
[ROW][C]0.81[/C][C]8.40682097439426[/C][C]0.0309267439553908[/C][/ROW]
[ROW][C]0.82[/C][C]8.41602897486018[/C][C]0.0330371698670996[/C][/ROW]
[ROW][C]0.83[/C][C]8.42611626547416[/C][C]0.0366033233980541[/C][/ROW]
[ROW][C]0.84[/C][C]8.4372057668321[/C][C]0.0400109542232606[/C][/ROW]
[ROW][C]0.85[/C][C]8.44906353764676[/C][C]0.041810468057133[/C][/ROW]
[ROW][C]0.86[/C][C]8.46119295854475[/C][C]0.0411533304895733[/C][/ROW]
[ROW][C]0.87[/C][C]8.47306463977649[/C][C]0.0381483169864235[/C][/ROW]
[ROW][C]0.88[/C][C]8.48441713108203[/C][C]0.034021479627203[/C][/ROW]
[ROW][C]0.89[/C][C]8.49549658276957[/C][C]0.0309310831432792[/C][/ROW]
[ROW][C]0.9[/C][C]8.50707197925256[/C][C]0.0311229329875765[/C][/ROW]
[ROW][C]0.91[/C][C]8.52011375166417[/C][C]0.0350242895444133[/C][/ROW]
[ROW][C]0.92[/C][C]8.53519698868739[/C][C]0.0401883137012517[/C][/ROW]
[ROW][C]0.93[/C][C]8.55196773162523[/C][C]0.0428204765507637[/C][/ROW]
[ROW][C]0.94[/C][C]8.569245278288[/C][C]0.0402641401435873[/C][/ROW]
[ROW][C]0.95[/C][C]8.58621673750373[/C][C]0.0336004710449569[/C][/ROW]
[ROW][C]0.96[/C][C]8.60429357956902[/C][C]0.0298468086394963[/C][/ROW]
[ROW][C]0.97[/C][C]8.62737529730879[/C][C]0.0378411866964705[/C][/ROW]
[ROW][C]0.98[/C][C]8.65722398533775[/C][C]0.0476988065723956[/C][/ROW]
[ROW][C]0.99[/C][C]8.68599280497368[/C][C]0.0334548309120173[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19668&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19668&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.30569145757630.0168494003880192
0.026.324806410660670.0457923031099531
0.036.357564664428640.0668432387296415
0.046.396999263215150.0730914089700334
0.056.435832142210780.0701343330593591
0.066.47052747336250.0652781188042367
0.076.500990634728090.0631668394971315
0.086.528713844593730.0648651415124886
0.096.555306747365780.0689817105228450
0.16.581856456781040.0739997937713442
0.116.60889145575440.0792475719094538
0.126.636578515466330.0844451574849752
0.136.66489793026080.089278689545313
0.146.693734448337590.0934217508748644
0.156.722929266989020.0967988987458532
0.166.752332540585280.0996140818214502
0.176.781849769193360.102263250636392
0.186.811456061390870.105030536871284
0.196.841168765068840.107937678684240
0.26.87099541675020.110723404028480
0.216.900886869632790.112984713594652
0.226.930719454398690.114358056998175
0.236.960313169471090.114681968081702
0.246.98947622547210.114044118507656
0.257.018057009589860.112777060256556
0.267.045984528320110.111351463817783
0.277.073285490573410.110243056254810
0.287.100076385021240.109828781684411
0.297.126537991228870.110292019912268
0.37.152884580834070.111666823527056
0.317.179339304390280.113900959853753
0.327.206121816779080.116949667955503
0.337.233446798994910.120853502553997
0.347.261526121152660.125663093715342
0.357.29056560305680.131456407449901
0.367.320750341263760.138108353778097
0.377.352218836562840.145330980778517
0.387.385032682639620.152633849899619
0.397.41915235436260.159406404973325
0.47.45442898516460.165063529710910
0.417.490617263526270.169165795761988
0.427.527407739094890.171514875681885
0.437.564470650924610.172159150020588
0.447.601500122795570.171380699861427
0.457.638248119319220.169578282159626
0.467.674541306741020.167172486998620
0.477.710279249368230.164517948687335
0.487.745417291162180.161826934385147
0.497.779940619327180.159142184169018
0.57.813836862523620.156384161738660
0.517.847073450356880.153383512226353
0.527.879583646455740.149934627250951
0.537.911262536763360.145839742940397
0.547.94197198438710.140959167017657
0.557.971552051625710.135222587654370
0.567.999835804196540.128658782723159
0.578.026664740891050.121337776837520
0.588.051903144742930.113429289960143
0.598.075451027091170.105124009599744
0.68.097256441913310.0966643725736863
0.618.117328167376440.088326052669299
0.628.135748733371750.0804475865227922
0.638.152685715554830.0734103632144415
0.648.16839694696310.0676627385310344
0.658.183224031627680.0636301091249771
0.668.197569353413750.0616319850899048
0.678.211855016885170.0617171578430158
0.688.22646717309070.0635987662522448
0.698.24169444630830.0666131600814273
0.78.257672880310490.069905789046271
0.718.274350596191210.0725495496162576
0.728.291482770410520.0737066204441335
0.738.308662176145160.0727877456826686
0.748.325383626528030.0695254859617585
0.758.341133642600810.0640632075445427
0.768.355490776333030.0569425473153585
0.778.368218133719380.0490259822355207
0.788.379328337232780.0413982158545413
0.798.389102890311610.0352128433512904
0.88.39805326827860.0315317184890815
0.818.406820974394260.0309267439553908
0.828.416028974860180.0330371698670996
0.838.426116265474160.0366033233980541
0.848.43720576683210.0400109542232606
0.858.449063537646760.041810468057133
0.868.461192958544750.0411533304895733
0.878.473064639776490.0381483169864235
0.888.484417131082030.034021479627203
0.898.495496582769570.0309310831432792
0.98.507071979252560.0311229329875765
0.918.520113751664170.0350242895444133
0.928.535196988687390.0401883137012517
0.938.551967731625230.0428204765507637
0.948.5692452782880.0402641401435873
0.958.586216737503730.0336004710449569
0.968.604293579569020.0298468086394963
0.978.627375297308790.0378411866964705
0.988.657223985337750.0476988065723956
0.998.685992804973680.0334548309120173


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')