FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 22 Feb 2012 12:38:11 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/22/t1329932391ksumfn6b56x803j.htm/, Retrieved Mon, 06 May 2024 16:19:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163134, Retrieved Mon, 06 May 2024 16:19:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact67

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrell-Davies pe...] [2012-02-22 17:38:11] [7b0d021f0a275c50b786c74a5009310f] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
369.82
373.1
374.55
375.01
374.81
375.31
375.31
375.39
375.59
376.26
377.18
377.26
377.26
381.87
387.09
387.14
388.78
389.16
389.16
389.42
389.49
388.97
388.97
389.09
389.09
391.76
390.96
391.76
392.8
393.06
393.06
393.26
393.87
394.47
394.57
394.57
394.57
399.57
406.13
407.03
409.46
409.9
409.9
410.14
410.54
410.69
410.79
410.97
410.97
413.8
423.31
423.85
426.6
426.26
426.26
426.32
427.14
427.55
428.29
428.8

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'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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163134&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163134&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163134&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01370.5624629669172.81291955328911
0.02371.6145765540432.2367680011514
0.03372.6407997239961.68075535143216
0.04373.4647721979231.23001227792918
0.05374.0606779218530.898323417542154
0.06374.4744725047890.675437350938675
0.07374.7660717467530.547751252168382
0.08374.9858224407340.502612859255683
0.09375.1708247282880.529953253707052
0.1375.3480687567220.62372218393326
0.11375.5382704792530.780760737362945
0.12375.7586007417781.00175436823889
0.13376.0241563041661.28668783180701
0.14376.3484311831491.63438597856158
0.15376.7430664995492.03914828099037
0.16377.2171130529962.48775980648221
0.17377.7760255317292.96036443700257
0.18378.4206259108823.43009127673966
0.19379.1462958758823.8641911840262
0.2379.9426460256594.23097409542001
0.21380.7938400031874.50032772653042
0.22381.6796284095724.65034767164064
0.23382.5769992288844.67044111136686
0.24383.4622193705094.56117783233348
0.25384.3129620567674.3352815323244
0.26385.1102059519794.01565574816365
0.27385.8396508647613.63027791478962
0.28386.4924999686233.21062460084787
0.29387.065579132672.78650295134134
0.3387.5608708509692.38401530306802
0.31387.984613326162.02452157132126
0.32388.3461469524721.72307490064483
0.33388.6566846335741.4893254248139
0.34388.928150334361.32573713370752
0.35389.1721857383231.2310953350949
0.36389.3993799345951.19702184132895
0.37389.6187397123871.20945290271092
0.38389.8373917373671.25513388000795
0.39390.0604923437651.3202774857689
0.4390.2913134208781.3925480223855
0.41390.5314707645881.46353507337974
0.42390.7812616100061.52755799972971
0.43391.0400791307761.58019619801034
0.44391.3068727160891.62139214445161
0.45391.5806236904891.65312800105616
0.46391.8608069320081.68030238961158
0.47392.1478096227131.71002669689986
0.48392.4432790533491.75203161393399
0.49392.7503719350291.81858624364319
0.5393.073878265011.92051822811385
0.51393.4201942024362.0699476866851
0.52393.7971219887482.27563421048238
0.53394.213482436522.54228623194717
0.54394.6785385142142.87026361471605
0.55395.2012478182723.2540695020346
0.56395.7893864192473.6816835869501
0.57396.4486138531754.13654341593357
0.58397.1815741293914.59598665304014
0.59397.987144570925.03410892778067
0.6398.8599472523055.42459399750237
0.61399.7902226839385.73885765105319
0.62400.764131432645.95445961583287
0.63401.7644999642996.05403937533034
0.64402.7719695866146.02720326262451
0.65403.7664521323845.87467364286413
0.66404.7287535777145.6059038230794
0.67405.6422054684075.239975256926
0.68406.4941474415554.8030098829556
0.69407.277129798144.32740448296815
0.7407.9897447151783.84815299229455
0.71408.6370362844753.40187504812795
0.72409.2304710362993.02630248709951
0.73409.7874640514152.75814823392743
0.74410.3304512168022.63184487212628
0.75410.8854853835212.67135113283196
0.76411.4803311985862.88078399028428
0.77412.142061427853.24150446496433
0.78412.8942327068533.71743748638761
0.79413.7538422236584.2598598221446
0.8414.7284183252644.81120346041919
0.81415.8137340389365.30765788214439
0.82416.9926949982335.68524048669591
0.83418.2358873304685.88870140242166
0.84419.5040478891935.87926017436744
0.85420.752356445655.64361744542999
0.86421.9360191613125.19724682079748
0.87423.0162298864294.58344191266272
0.88423.965387178473.8671391055213
0.89424.770505188623.12259722128609
0.9425.4341075533262.42164529353825
0.91425.9724611958551.82199015226706
0.92426.4116297709491.35929547938052
0.93426.7822981780911.04459781306298
0.94427.1144568404360.862361263345484
0.95427.4327358541630.77302550932194
0.96427.7524558625530.726840650113513
0.97428.0755637838160.68021370423544
0.98428.3855839963490.612070323281416
0.99428.6440967301990.540096133241959

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 370.562462966917 & 2.81291955328911 \tabularnewline
0.02 & 371.614576554043 & 2.2367680011514 \tabularnewline
0.03 & 372.640799723996 & 1.68075535143216 \tabularnewline
0.04 & 373.464772197923 & 1.23001227792918 \tabularnewline
0.05 & 374.060677921853 & 0.898323417542154 \tabularnewline
0.06 & 374.474472504789 & 0.675437350938675 \tabularnewline
0.07 & 374.766071746753 & 0.547751252168382 \tabularnewline
0.08 & 374.985822440734 & 0.502612859255683 \tabularnewline
0.09 & 375.170824728288 & 0.529953253707052 \tabularnewline
0.1 & 375.348068756722 & 0.62372218393326 \tabularnewline
0.11 & 375.538270479253 & 0.780760737362945 \tabularnewline
0.12 & 375.758600741778 & 1.00175436823889 \tabularnewline
0.13 & 376.024156304166 & 1.28668783180701 \tabularnewline
0.14 & 376.348431183149 & 1.63438597856158 \tabularnewline
0.15 & 376.743066499549 & 2.03914828099037 \tabularnewline
0.16 & 377.217113052996 & 2.48775980648221 \tabularnewline
0.17 & 377.776025531729 & 2.96036443700257 \tabularnewline
0.18 & 378.420625910882 & 3.43009127673966 \tabularnewline
0.19 & 379.146295875882 & 3.8641911840262 \tabularnewline
0.2 & 379.942646025659 & 4.23097409542001 \tabularnewline
0.21 & 380.793840003187 & 4.50032772653042 \tabularnewline
0.22 & 381.679628409572 & 4.65034767164064 \tabularnewline
0.23 & 382.576999228884 & 4.67044111136686 \tabularnewline
0.24 & 383.462219370509 & 4.56117783233348 \tabularnewline
0.25 & 384.312962056767 & 4.3352815323244 \tabularnewline
0.26 & 385.110205951979 & 4.01565574816365 \tabularnewline
0.27 & 385.839650864761 & 3.63027791478962 \tabularnewline
0.28 & 386.492499968623 & 3.21062460084787 \tabularnewline
0.29 & 387.06557913267 & 2.78650295134134 \tabularnewline
0.3 & 387.560870850969 & 2.38401530306802 \tabularnewline
0.31 & 387.98461332616 & 2.02452157132126 \tabularnewline
0.32 & 388.346146952472 & 1.72307490064483 \tabularnewline
0.33 & 388.656684633574 & 1.4893254248139 \tabularnewline
0.34 & 388.92815033436 & 1.32573713370752 \tabularnewline
0.35 & 389.172185738323 & 1.2310953350949 \tabularnewline
0.36 & 389.399379934595 & 1.19702184132895 \tabularnewline
0.37 & 389.618739712387 & 1.20945290271092 \tabularnewline
0.38 & 389.837391737367 & 1.25513388000795 \tabularnewline
0.39 & 390.060492343765 & 1.3202774857689 \tabularnewline
0.4 & 390.291313420878 & 1.3925480223855 \tabularnewline
0.41 & 390.531470764588 & 1.46353507337974 \tabularnewline
0.42 & 390.781261610006 & 1.52755799972971 \tabularnewline
0.43 & 391.040079130776 & 1.58019619801034 \tabularnewline
0.44 & 391.306872716089 & 1.62139214445161 \tabularnewline
0.45 & 391.580623690489 & 1.65312800105616 \tabularnewline
0.46 & 391.860806932008 & 1.68030238961158 \tabularnewline
0.47 & 392.147809622713 & 1.71002669689986 \tabularnewline
0.48 & 392.443279053349 & 1.75203161393399 \tabularnewline
0.49 & 392.750371935029 & 1.81858624364319 \tabularnewline
0.5 & 393.07387826501 & 1.92051822811385 \tabularnewline
0.51 & 393.420194202436 & 2.0699476866851 \tabularnewline
0.52 & 393.797121988748 & 2.27563421048238 \tabularnewline
0.53 & 394.21348243652 & 2.54228623194717 \tabularnewline
0.54 & 394.678538514214 & 2.87026361471605 \tabularnewline
0.55 & 395.201247818272 & 3.2540695020346 \tabularnewline
0.56 & 395.789386419247 & 3.6816835869501 \tabularnewline
0.57 & 396.448613853175 & 4.13654341593357 \tabularnewline
0.58 & 397.181574129391 & 4.59598665304014 \tabularnewline
0.59 & 397.98714457092 & 5.03410892778067 \tabularnewline
0.6 & 398.859947252305 & 5.42459399750237 \tabularnewline
0.61 & 399.790222683938 & 5.73885765105319 \tabularnewline
0.62 & 400.76413143264 & 5.95445961583287 \tabularnewline
0.63 & 401.764499964299 & 6.05403937533034 \tabularnewline
0.64 & 402.771969586614 & 6.02720326262451 \tabularnewline
0.65 & 403.766452132384 & 5.87467364286413 \tabularnewline
0.66 & 404.728753577714 & 5.6059038230794 \tabularnewline
0.67 & 405.642205468407 & 5.239975256926 \tabularnewline
0.68 & 406.494147441555 & 4.8030098829556 \tabularnewline
0.69 & 407.27712979814 & 4.32740448296815 \tabularnewline
0.7 & 407.989744715178 & 3.84815299229455 \tabularnewline
0.71 & 408.637036284475 & 3.40187504812795 \tabularnewline
0.72 & 409.230471036299 & 3.02630248709951 \tabularnewline
0.73 & 409.787464051415 & 2.75814823392743 \tabularnewline
0.74 & 410.330451216802 & 2.63184487212628 \tabularnewline
0.75 & 410.885485383521 & 2.67135113283196 \tabularnewline
0.76 & 411.480331198586 & 2.88078399028428 \tabularnewline
0.77 & 412.14206142785 & 3.24150446496433 \tabularnewline
0.78 & 412.894232706853 & 3.71743748638761 \tabularnewline
0.79 & 413.753842223658 & 4.2598598221446 \tabularnewline
0.8 & 414.728418325264 & 4.81120346041919 \tabularnewline
0.81 & 415.813734038936 & 5.30765788214439 \tabularnewline
0.82 & 416.992694998233 & 5.68524048669591 \tabularnewline
0.83 & 418.235887330468 & 5.88870140242166 \tabularnewline
0.84 & 419.504047889193 & 5.87926017436744 \tabularnewline
0.85 & 420.75235644565 & 5.64361744542999 \tabularnewline
0.86 & 421.936019161312 & 5.19724682079748 \tabularnewline
0.87 & 423.016229886429 & 4.58344191266272 \tabularnewline
0.88 & 423.96538717847 & 3.8671391055213 \tabularnewline
0.89 & 424.77050518862 & 3.12259722128609 \tabularnewline
0.9 & 425.434107553326 & 2.42164529353825 \tabularnewline
0.91 & 425.972461195855 & 1.82199015226706 \tabularnewline
0.92 & 426.411629770949 & 1.35929547938052 \tabularnewline
0.93 & 426.782298178091 & 1.04459781306298 \tabularnewline
0.94 & 427.114456840436 & 0.862361263345484 \tabularnewline
0.95 & 427.432735854163 & 0.77302550932194 \tabularnewline
0.96 & 427.752455862553 & 0.726840650113513 \tabularnewline
0.97 & 428.075563783816 & 0.68021370423544 \tabularnewline
0.98 & 428.385583996349 & 0.612070323281416 \tabularnewline
0.99 & 428.644096730199 & 0.540096133241959 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163134&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]370.562462966917[/C][C]2.81291955328911[/C][/ROW]
[ROW][C]0.02[/C][C]371.614576554043[/C][C]2.2367680011514[/C][/ROW]
[ROW][C]0.03[/C][C]372.640799723996[/C][C]1.68075535143216[/C][/ROW]
[ROW][C]0.04[/C][C]373.464772197923[/C][C]1.23001227792918[/C][/ROW]
[ROW][C]0.05[/C][C]374.060677921853[/C][C]0.898323417542154[/C][/ROW]
[ROW][C]0.06[/C][C]374.474472504789[/C][C]0.675437350938675[/C][/ROW]
[ROW][C]0.07[/C][C]374.766071746753[/C][C]0.547751252168382[/C][/ROW]
[ROW][C]0.08[/C][C]374.985822440734[/C][C]0.502612859255683[/C][/ROW]
[ROW][C]0.09[/C][C]375.170824728288[/C][C]0.529953253707052[/C][/ROW]
[ROW][C]0.1[/C][C]375.348068756722[/C][C]0.62372218393326[/C][/ROW]
[ROW][C]0.11[/C][C]375.538270479253[/C][C]0.780760737362945[/C][/ROW]
[ROW][C]0.12[/C][C]375.758600741778[/C][C]1.00175436823889[/C][/ROW]
[ROW][C]0.13[/C][C]376.024156304166[/C][C]1.28668783180701[/C][/ROW]
[ROW][C]0.14[/C][C]376.348431183149[/C][C]1.63438597856158[/C][/ROW]
[ROW][C]0.15[/C][C]376.743066499549[/C][C]2.03914828099037[/C][/ROW]
[ROW][C]0.16[/C][C]377.217113052996[/C][C]2.48775980648221[/C][/ROW]
[ROW][C]0.17[/C][C]377.776025531729[/C][C]2.96036443700257[/C][/ROW]
[ROW][C]0.18[/C][C]378.420625910882[/C][C]3.43009127673966[/C][/ROW]
[ROW][C]0.19[/C][C]379.146295875882[/C][C]3.8641911840262[/C][/ROW]
[ROW][C]0.2[/C][C]379.942646025659[/C][C]4.23097409542001[/C][/ROW]
[ROW][C]0.21[/C][C]380.793840003187[/C][C]4.50032772653042[/C][/ROW]
[ROW][C]0.22[/C][C]381.679628409572[/C][C]4.65034767164064[/C][/ROW]
[ROW][C]0.23[/C][C]382.576999228884[/C][C]4.67044111136686[/C][/ROW]
[ROW][C]0.24[/C][C]383.462219370509[/C][C]4.56117783233348[/C][/ROW]
[ROW][C]0.25[/C][C]384.312962056767[/C][C]4.3352815323244[/C][/ROW]
[ROW][C]0.26[/C][C]385.110205951979[/C][C]4.01565574816365[/C][/ROW]
[ROW][C]0.27[/C][C]385.839650864761[/C][C]3.63027791478962[/C][/ROW]
[ROW][C]0.28[/C][C]386.492499968623[/C][C]3.21062460084787[/C][/ROW]
[ROW][C]0.29[/C][C]387.06557913267[/C][C]2.78650295134134[/C][/ROW]
[ROW][C]0.3[/C][C]387.560870850969[/C][C]2.38401530306802[/C][/ROW]
[ROW][C]0.31[/C][C]387.98461332616[/C][C]2.02452157132126[/C][/ROW]
[ROW][C]0.32[/C][C]388.346146952472[/C][C]1.72307490064483[/C][/ROW]
[ROW][C]0.33[/C][C]388.656684633574[/C][C]1.4893254248139[/C][/ROW]
[ROW][C]0.34[/C][C]388.92815033436[/C][C]1.32573713370752[/C][/ROW]
[ROW][C]0.35[/C][C]389.172185738323[/C][C]1.2310953350949[/C][/ROW]
[ROW][C]0.36[/C][C]389.399379934595[/C][C]1.19702184132895[/C][/ROW]
[ROW][C]0.37[/C][C]389.618739712387[/C][C]1.20945290271092[/C][/ROW]
[ROW][C]0.38[/C][C]389.837391737367[/C][C]1.25513388000795[/C][/ROW]
[ROW][C]0.39[/C][C]390.060492343765[/C][C]1.3202774857689[/C][/ROW]
[ROW][C]0.4[/C][C]390.291313420878[/C][C]1.3925480223855[/C][/ROW]
[ROW][C]0.41[/C][C]390.531470764588[/C][C]1.46353507337974[/C][/ROW]
[ROW][C]0.42[/C][C]390.781261610006[/C][C]1.52755799972971[/C][/ROW]
[ROW][C]0.43[/C][C]391.040079130776[/C][C]1.58019619801034[/C][/ROW]
[ROW][C]0.44[/C][C]391.306872716089[/C][C]1.62139214445161[/C][/ROW]
[ROW][C]0.45[/C][C]391.580623690489[/C][C]1.65312800105616[/C][/ROW]
[ROW][C]0.46[/C][C]391.860806932008[/C][C]1.68030238961158[/C][/ROW]
[ROW][C]0.47[/C][C]392.147809622713[/C][C]1.71002669689986[/C][/ROW]
[ROW][C]0.48[/C][C]392.443279053349[/C][C]1.75203161393399[/C][/ROW]
[ROW][C]0.49[/C][C]392.750371935029[/C][C]1.81858624364319[/C][/ROW]
[ROW][C]0.5[/C][C]393.07387826501[/C][C]1.92051822811385[/C][/ROW]
[ROW][C]0.51[/C][C]393.420194202436[/C][C]2.0699476866851[/C][/ROW]
[ROW][C]0.52[/C][C]393.797121988748[/C][C]2.27563421048238[/C][/ROW]
[ROW][C]0.53[/C][C]394.21348243652[/C][C]2.54228623194717[/C][/ROW]
[ROW][C]0.54[/C][C]394.678538514214[/C][C]2.87026361471605[/C][/ROW]
[ROW][C]0.55[/C][C]395.201247818272[/C][C]3.2540695020346[/C][/ROW]
[ROW][C]0.56[/C][C]395.789386419247[/C][C]3.6816835869501[/C][/ROW]
[ROW][C]0.57[/C][C]396.448613853175[/C][C]4.13654341593357[/C][/ROW]
[ROW][C]0.58[/C][C]397.181574129391[/C][C]4.59598665304014[/C][/ROW]
[ROW][C]0.59[/C][C]397.98714457092[/C][C]5.03410892778067[/C][/ROW]
[ROW][C]0.6[/C][C]398.859947252305[/C][C]5.42459399750237[/C][/ROW]
[ROW][C]0.61[/C][C]399.790222683938[/C][C]5.73885765105319[/C][/ROW]
[ROW][C]0.62[/C][C]400.76413143264[/C][C]5.95445961583287[/C][/ROW]
[ROW][C]0.63[/C][C]401.764499964299[/C][C]6.05403937533034[/C][/ROW]
[ROW][C]0.64[/C][C]402.771969586614[/C][C]6.02720326262451[/C][/ROW]
[ROW][C]0.65[/C][C]403.766452132384[/C][C]5.87467364286413[/C][/ROW]
[ROW][C]0.66[/C][C]404.728753577714[/C][C]5.6059038230794[/C][/ROW]
[ROW][C]0.67[/C][C]405.642205468407[/C][C]5.239975256926[/C][/ROW]
[ROW][C]0.68[/C][C]406.494147441555[/C][C]4.8030098829556[/C][/ROW]
[ROW][C]0.69[/C][C]407.27712979814[/C][C]4.32740448296815[/C][/ROW]
[ROW][C]0.7[/C][C]407.989744715178[/C][C]3.84815299229455[/C][/ROW]
[ROW][C]0.71[/C][C]408.637036284475[/C][C]3.40187504812795[/C][/ROW]
[ROW][C]0.72[/C][C]409.230471036299[/C][C]3.02630248709951[/C][/ROW]
[ROW][C]0.73[/C][C]409.787464051415[/C][C]2.75814823392743[/C][/ROW]
[ROW][C]0.74[/C][C]410.330451216802[/C][C]2.63184487212628[/C][/ROW]
[ROW][C]0.75[/C][C]410.885485383521[/C][C]2.67135113283196[/C][/ROW]
[ROW][C]0.76[/C][C]411.480331198586[/C][C]2.88078399028428[/C][/ROW]
[ROW][C]0.77[/C][C]412.14206142785[/C][C]3.24150446496433[/C][/ROW]
[ROW][C]0.78[/C][C]412.894232706853[/C][C]3.71743748638761[/C][/ROW]
[ROW][C]0.79[/C][C]413.753842223658[/C][C]4.2598598221446[/C][/ROW]
[ROW][C]0.8[/C][C]414.728418325264[/C][C]4.81120346041919[/C][/ROW]
[ROW][C]0.81[/C][C]415.813734038936[/C][C]5.30765788214439[/C][/ROW]
[ROW][C]0.82[/C][C]416.992694998233[/C][C]5.68524048669591[/C][/ROW]
[ROW][C]0.83[/C][C]418.235887330468[/C][C]5.88870140242166[/C][/ROW]
[ROW][C]0.84[/C][C]419.504047889193[/C][C]5.87926017436744[/C][/ROW]
[ROW][C]0.85[/C][C]420.75235644565[/C][C]5.64361744542999[/C][/ROW]
[ROW][C]0.86[/C][C]421.936019161312[/C][C]5.19724682079748[/C][/ROW]
[ROW][C]0.87[/C][C]423.016229886429[/C][C]4.58344191266272[/C][/ROW]
[ROW][C]0.88[/C][C]423.96538717847[/C][C]3.8671391055213[/C][/ROW]
[ROW][C]0.89[/C][C]424.77050518862[/C][C]3.12259722128609[/C][/ROW]
[ROW][C]0.9[/C][C]425.434107553326[/C][C]2.42164529353825[/C][/ROW]
[ROW][C]0.91[/C][C]425.972461195855[/C][C]1.82199015226706[/C][/ROW]
[ROW][C]0.92[/C][C]426.411629770949[/C][C]1.35929547938052[/C][/ROW]
[ROW][C]0.93[/C][C]426.782298178091[/C][C]1.04459781306298[/C][/ROW]
[ROW][C]0.94[/C][C]427.114456840436[/C][C]0.862361263345484[/C][/ROW]
[ROW][C]0.95[/C][C]427.432735854163[/C][C]0.77302550932194[/C][/ROW]
[ROW][C]0.96[/C][C]427.752455862553[/C][C]0.726840650113513[/C][/ROW]
[ROW][C]0.97[/C][C]428.075563783816[/C][C]0.68021370423544[/C][/ROW]
[ROW][C]0.98[/C][C]428.385583996349[/C][C]0.612070323281416[/C][/ROW]
[ROW][C]0.99[/C][C]428.644096730199[/C][C]0.540096133241959[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163134&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163134&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
0.01370.5624629669172.81291955328911
0.02371.6145765540432.2367680011514
0.03372.6407997239961.68075535143216
0.04373.4647721979231.23001227792918
0.05374.0606779218530.898323417542154
0.06374.4744725047890.675437350938675
0.07374.7660717467530.547751252168382
0.08374.9858224407340.502612859255683
0.09375.1708247282880.529953253707052
0.1375.3480687567220.62372218393326
0.11375.5382704792530.780760737362945
0.12375.7586007417781.00175436823889
0.13376.0241563041661.28668783180701
0.14376.3484311831491.63438597856158
0.15376.7430664995492.03914828099037
0.16377.2171130529962.48775980648221
0.17377.7760255317292.96036443700257
0.18378.4206259108823.43009127673966
0.19379.1462958758823.8641911840262
0.2379.9426460256594.23097409542001
0.21380.7938400031874.50032772653042
0.22381.6796284095724.65034767164064
0.23382.5769992288844.67044111136686
0.24383.4622193705094.56117783233348
0.25384.3129620567674.3352815323244
0.26385.1102059519794.01565574816365
0.27385.8396508647613.63027791478962
0.28386.4924999686233.21062460084787
0.29387.065579132672.78650295134134
0.3387.5608708509692.38401530306802
0.31387.984613326162.02452157132126
0.32388.3461469524721.72307490064483
0.33388.6566846335741.4893254248139
0.34388.928150334361.32573713370752
0.35389.1721857383231.2310953350949
0.36389.3993799345951.19702184132895
0.37389.6187397123871.20945290271092
0.38389.8373917373671.25513388000795
0.39390.0604923437651.3202774857689
0.4390.2913134208781.3925480223855
0.41390.5314707645881.46353507337974
0.42390.7812616100061.52755799972971
0.43391.0400791307761.58019619801034
0.44391.3068727160891.62139214445161
0.45391.5806236904891.65312800105616
0.46391.8608069320081.68030238961158
0.47392.1478096227131.71002669689986
0.48392.4432790533491.75203161393399
0.49392.7503719350291.81858624364319
0.5393.073878265011.92051822811385
0.51393.4201942024362.0699476866851
0.52393.7971219887482.27563421048238
0.53394.213482436522.54228623194717
0.54394.6785385142142.87026361471605
0.55395.2012478182723.2540695020346
0.56395.7893864192473.6816835869501
0.57396.4486138531754.13654341593357
0.58397.1815741293914.59598665304014
0.59397.987144570925.03410892778067
0.6398.8599472523055.42459399750237
0.61399.7902226839385.73885765105319
0.62400.764131432645.95445961583287
0.63401.7644999642996.05403937533034
0.64402.7719695866146.02720326262451
0.65403.7664521323845.87467364286413
0.66404.7287535777145.6059038230794
0.67405.6422054684075.239975256926
0.68406.4941474415554.8030098829556
0.69407.277129798144.32740448296815
0.7407.9897447151783.84815299229455
0.71408.6370362844753.40187504812795
0.72409.2304710362993.02630248709951
0.73409.7874640514152.75814823392743
0.74410.3304512168022.63184487212628
0.75410.8854853835212.67135113283196
0.76411.4803311985862.88078399028428
0.77412.142061427853.24150446496433
0.78412.8942327068533.71743748638761
0.79413.7538422236584.2598598221446
0.8414.7284183252644.81120346041919
0.81415.8137340389365.30765788214439
0.82416.9926949982335.68524048669591
0.83418.2358873304685.88870140242166
0.84419.5040478891935.87926017436744
0.85420.752356445655.64361744542999
0.86421.9360191613125.19724682079748
0.87423.0162298864294.58344191266272
0.88423.965387178473.8671391055213
0.89424.770505188623.12259722128609
0.9425.4341075533262.42164529353825
0.91425.9724611958551.82199015226706
0.92426.4116297709491.35929547938052
0.93426.7822981780911.04459781306298
0.94427.1144568404360.862361263345484
0.95427.4327358541630.77302550932194
0.96427.7524558625530.726840650113513
0.97428.0755637838160.68021370423544
0.98428.3855839963490.612070323281416
0.99428.6440967301990.540096133241959


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
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')