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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 13 Oct 2008 05:50:36 -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/13/t12238986732lukp02jpznp0fv.htm/, Retrieved Sat, 18 May 2024 04:24:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=15649, Retrieved Sat, 18 May 2024 04:24:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164

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] [percentielen buit...] [2008-10-13 11:50:36] [cd990bb7dd50d289d8ca88511d54b252] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11.9
13.6
15.2
12.5
14.9
13.7
12.5
13.1
14.5
15.2
16.1
14.8
15.1
14.8
16.1
14.3
15.2
14.9
13.1
12.6
13.6
14.4
14
12.9
13.4
13.5
14.8
14.3
14.3
14
13.2
12.2
14.3
15.7
14.2
14.6
14.5
14.3
15.3
14.4
13.7
14.2
13.5
11.9
14.6
15.6
14.1
14.9
14.2
14.6
17.2
15.4
14.3
17.5
14.5
14.4
16.6
16.7
16.6
16.9
15.7
16.4
18.4
16.9
16.5
18.3
15.1
15.7
18.1
16.8
18.9
19
18.1
17.8
21.5
17.1
18.7
19
16.4
16.9
18.6
19.3
19.4
17.6
18.6
18.1
20.4
18.1
19.6
19.9
19.2
17.8
19.2
22.1
21.2
19.5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15649&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15649&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15649&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0111.95247152119340.133025933016376
0.0212.07917042871110.250531343325737
0.0312.24749474172950.286730166488120
0.0412.41859109311880.287020744207649
0.0512.57676411051390.293594274033763
0.0612.72281999025390.306966141674870
0.0712.86011890268430.313511072061482
0.0812.98911591269970.308324887457134
0.0913.10850722641010.295123668722798
0.113.21743084329100.279490812037994
0.1113.31631967842660.265231022083848
0.1213.40665653511050.254572691522756
0.1313.49043184105880.248821351741438
0.1413.56967924431150.248358017374823
0.1513.64610905398010.251862259310935
0.1613.72081392350650.256545214556299
0.1713.79409568425310.259054202242415
0.1813.86548119479110.256603076251433
0.1913.93393436176250.24779129826352
0.213.99819314756670.232751201263438
0.2114.05712120757850.212920467285873
0.2214.10997745986370.190469749710623
0.2314.15655329552120.167833905128725
0.2414.19717723701540.14719922890697
0.2514.23262074528960.130243040966142
0.2614.26395112506590.118040744862829
0.2714.29237316659890.111011739856371
0.2814.319088945530.108972035716758
0.2914.34519202945920.111230853186762
0.314.37160159164060.116837091938855
0.3114.39903423295260.124844542150519
0.3214.42800624149450.134405537942295
0.3314.45885628087330.144931914403295
0.3414.49177810419000.155894087171168
0.3514.52685471538920.166953382915872
0.3614.56408877187150.177852307800999
0.3714.60342775604020.188371335159560
0.3814.64478528615190.198390216938466
0.3914.68806111275030.207872035869992
0.414.73316184791750.216861630340508
0.4114.7800229459410.225552431923367
0.4214.82863078033590.234272860001001
0.4314.87904251452330.243396136470245
0.4414.93140105577880.253388938057905
0.4514.9859425299740.264721599632773
0.4615.04299410259250.277858544483549
0.4715.10296042691420.293111389442863
0.4815.16629760185530.310695651100103
0.4915.23347450097940.330574918693301
0.515.30492286563300.352436756724611
0.5115.38097959094570.375620818802901
0.5215.46182687428630.399217359320561
0.5315.54743788670150.422003019074939
0.5415.63753688586330.442679670605903
0.5515.73158278354060.459893896715062
0.5615.82878376672340.472415721248904
0.5715.92814744243380.47936628551034
0.5816.02856618639320.480350016633851
0.5916.12893139691360.475604785492153
0.616.22826414219780.465966302278613
0.6116.32584453754740.453010619914396
0.6216.42131939139630.438799616057141
0.6316.51476811107580.425603447771373
0.6416.60671082638190.415743399803629
0.6516.69804984403750.411024021963776
0.6616.7899451827310.412510460285905
0.6716.88363612684060.4201891208532
0.6816.98023223522810.432832600400022
0.6917.08050721478020.448272137363882
0.717.18473493294440.463614420812981
0.7117.29260562365280.475877218506889
0.7217.40324970284770.482477543028004
0.7317.51537630737400.481767131046819
0.7417.62750675173170.473443105725287
0.7517.73825609461990.458548825463489
0.7617.84659759600630.439324049882955
0.7717.95204299956380.41867855611098
0.7818.05469001926050.399504790995174
0.7918.15512385619570.383858987485909
0.818.25420149724850.372556150671459
0.8118.35278153518340.364860518016194
0.8218.45147613805380.35909872074391
0.8318.55049167201230.353171483974347
0.8418.64959679783250.345222890480971
0.8518.74822489536180.334141719920498
0.8618.84569463359160.319772858925249
0.8718.94152653515560.302993241416335
0.8819.03584784424000.285841400235014
0.8919.12991347910460.271582091079818
0.919.22681781447180.264900067903313
0.9119.33248400329860.27259769259655
0.9219.45687235323240.303663720484689
0.9319.6148514796690.367446697224074
0.9419.82524505011020.467027851360002
0.9520.10585965436050.588236482947314
0.9620.46409674020020.689401160651543
0.9720.88922025994340.71022200331586
0.9821.35421350577870.630088956794202
0.9921.80486181646980.557624955866208

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 11.9524715211934 & 0.133025933016376 \tabularnewline
0.02 & 12.0791704287111 & 0.250531343325737 \tabularnewline
0.03 & 12.2474947417295 & 0.286730166488120 \tabularnewline
0.04 & 12.4185910931188 & 0.287020744207649 \tabularnewline
0.05 & 12.5767641105139 & 0.293594274033763 \tabularnewline
0.06 & 12.7228199902539 & 0.306966141674870 \tabularnewline
0.07 & 12.8601189026843 & 0.313511072061482 \tabularnewline
0.08 & 12.9891159126997 & 0.308324887457134 \tabularnewline
0.09 & 13.1085072264101 & 0.295123668722798 \tabularnewline
0.1 & 13.2174308432910 & 0.279490812037994 \tabularnewline
0.11 & 13.3163196784266 & 0.265231022083848 \tabularnewline
0.12 & 13.4066565351105 & 0.254572691522756 \tabularnewline
0.13 & 13.4904318410588 & 0.248821351741438 \tabularnewline
0.14 & 13.5696792443115 & 0.248358017374823 \tabularnewline
0.15 & 13.6461090539801 & 0.251862259310935 \tabularnewline
0.16 & 13.7208139235065 & 0.256545214556299 \tabularnewline
0.17 & 13.7940956842531 & 0.259054202242415 \tabularnewline
0.18 & 13.8654811947911 & 0.256603076251433 \tabularnewline
0.19 & 13.9339343617625 & 0.24779129826352 \tabularnewline
0.2 & 13.9981931475667 & 0.232751201263438 \tabularnewline
0.21 & 14.0571212075785 & 0.212920467285873 \tabularnewline
0.22 & 14.1099774598637 & 0.190469749710623 \tabularnewline
0.23 & 14.1565532955212 & 0.167833905128725 \tabularnewline
0.24 & 14.1971772370154 & 0.14719922890697 \tabularnewline
0.25 & 14.2326207452896 & 0.130243040966142 \tabularnewline
0.26 & 14.2639511250659 & 0.118040744862829 \tabularnewline
0.27 & 14.2923731665989 & 0.111011739856371 \tabularnewline
0.28 & 14.31908894553 & 0.108972035716758 \tabularnewline
0.29 & 14.3451920294592 & 0.111230853186762 \tabularnewline
0.3 & 14.3716015916406 & 0.116837091938855 \tabularnewline
0.31 & 14.3990342329526 & 0.124844542150519 \tabularnewline
0.32 & 14.4280062414945 & 0.134405537942295 \tabularnewline
0.33 & 14.4588562808733 & 0.144931914403295 \tabularnewline
0.34 & 14.4917781041900 & 0.155894087171168 \tabularnewline
0.35 & 14.5268547153892 & 0.166953382915872 \tabularnewline
0.36 & 14.5640887718715 & 0.177852307800999 \tabularnewline
0.37 & 14.6034277560402 & 0.188371335159560 \tabularnewline
0.38 & 14.6447852861519 & 0.198390216938466 \tabularnewline
0.39 & 14.6880611127503 & 0.207872035869992 \tabularnewline
0.4 & 14.7331618479175 & 0.216861630340508 \tabularnewline
0.41 & 14.780022945941 & 0.225552431923367 \tabularnewline
0.42 & 14.8286307803359 & 0.234272860001001 \tabularnewline
0.43 & 14.8790425145233 & 0.243396136470245 \tabularnewline
0.44 & 14.9314010557788 & 0.253388938057905 \tabularnewline
0.45 & 14.985942529974 & 0.264721599632773 \tabularnewline
0.46 & 15.0429941025925 & 0.277858544483549 \tabularnewline
0.47 & 15.1029604269142 & 0.293111389442863 \tabularnewline
0.48 & 15.1662976018553 & 0.310695651100103 \tabularnewline
0.49 & 15.2334745009794 & 0.330574918693301 \tabularnewline
0.5 & 15.3049228656330 & 0.352436756724611 \tabularnewline
0.51 & 15.3809795909457 & 0.375620818802901 \tabularnewline
0.52 & 15.4618268742863 & 0.399217359320561 \tabularnewline
0.53 & 15.5474378867015 & 0.422003019074939 \tabularnewline
0.54 & 15.6375368858633 & 0.442679670605903 \tabularnewline
0.55 & 15.7315827835406 & 0.459893896715062 \tabularnewline
0.56 & 15.8287837667234 & 0.472415721248904 \tabularnewline
0.57 & 15.9281474424338 & 0.47936628551034 \tabularnewline
0.58 & 16.0285661863932 & 0.480350016633851 \tabularnewline
0.59 & 16.1289313969136 & 0.475604785492153 \tabularnewline
0.6 & 16.2282641421978 & 0.465966302278613 \tabularnewline
0.61 & 16.3258445375474 & 0.453010619914396 \tabularnewline
0.62 & 16.4213193913963 & 0.438799616057141 \tabularnewline
0.63 & 16.5147681110758 & 0.425603447771373 \tabularnewline
0.64 & 16.6067108263819 & 0.415743399803629 \tabularnewline
0.65 & 16.6980498440375 & 0.411024021963776 \tabularnewline
0.66 & 16.789945182731 & 0.412510460285905 \tabularnewline
0.67 & 16.8836361268406 & 0.4201891208532 \tabularnewline
0.68 & 16.9802322352281 & 0.432832600400022 \tabularnewline
0.69 & 17.0805072147802 & 0.448272137363882 \tabularnewline
0.7 & 17.1847349329444 & 0.463614420812981 \tabularnewline
0.71 & 17.2926056236528 & 0.475877218506889 \tabularnewline
0.72 & 17.4032497028477 & 0.482477543028004 \tabularnewline
0.73 & 17.5153763073740 & 0.481767131046819 \tabularnewline
0.74 & 17.6275067517317 & 0.473443105725287 \tabularnewline
0.75 & 17.7382560946199 & 0.458548825463489 \tabularnewline
0.76 & 17.8465975960063 & 0.439324049882955 \tabularnewline
0.77 & 17.9520429995638 & 0.41867855611098 \tabularnewline
0.78 & 18.0546900192605 & 0.399504790995174 \tabularnewline
0.79 & 18.1551238561957 & 0.383858987485909 \tabularnewline
0.8 & 18.2542014972485 & 0.372556150671459 \tabularnewline
0.81 & 18.3527815351834 & 0.364860518016194 \tabularnewline
0.82 & 18.4514761380538 & 0.35909872074391 \tabularnewline
0.83 & 18.5504916720123 & 0.353171483974347 \tabularnewline
0.84 & 18.6495967978325 & 0.345222890480971 \tabularnewline
0.85 & 18.7482248953618 & 0.334141719920498 \tabularnewline
0.86 & 18.8456946335916 & 0.319772858925249 \tabularnewline
0.87 & 18.9415265351556 & 0.302993241416335 \tabularnewline
0.88 & 19.0358478442400 & 0.285841400235014 \tabularnewline
0.89 & 19.1299134791046 & 0.271582091079818 \tabularnewline
0.9 & 19.2268178144718 & 0.264900067903313 \tabularnewline
0.91 & 19.3324840032986 & 0.27259769259655 \tabularnewline
0.92 & 19.4568723532324 & 0.303663720484689 \tabularnewline
0.93 & 19.614851479669 & 0.367446697224074 \tabularnewline
0.94 & 19.8252450501102 & 0.467027851360002 \tabularnewline
0.95 & 20.1058596543605 & 0.588236482947314 \tabularnewline
0.96 & 20.4640967402002 & 0.689401160651543 \tabularnewline
0.97 & 20.8892202599434 & 0.71022200331586 \tabularnewline
0.98 & 21.3542135057787 & 0.630088956794202 \tabularnewline
0.99 & 21.8048618164698 & 0.557624955866208 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15649&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]11.9524715211934[/C][C]0.133025933016376[/C][/ROW]
[ROW][C]0.02[/C][C]12.0791704287111[/C][C]0.250531343325737[/C][/ROW]
[ROW][C]0.03[/C][C]12.2474947417295[/C][C]0.286730166488120[/C][/ROW]
[ROW][C]0.04[/C][C]12.4185910931188[/C][C]0.287020744207649[/C][/ROW]
[ROW][C]0.05[/C][C]12.5767641105139[/C][C]0.293594274033763[/C][/ROW]
[ROW][C]0.06[/C][C]12.7228199902539[/C][C]0.306966141674870[/C][/ROW]
[ROW][C]0.07[/C][C]12.8601189026843[/C][C]0.313511072061482[/C][/ROW]
[ROW][C]0.08[/C][C]12.9891159126997[/C][C]0.308324887457134[/C][/ROW]
[ROW][C]0.09[/C][C]13.1085072264101[/C][C]0.295123668722798[/C][/ROW]
[ROW][C]0.1[/C][C]13.2174308432910[/C][C]0.279490812037994[/C][/ROW]
[ROW][C]0.11[/C][C]13.3163196784266[/C][C]0.265231022083848[/C][/ROW]
[ROW][C]0.12[/C][C]13.4066565351105[/C][C]0.254572691522756[/C][/ROW]
[ROW][C]0.13[/C][C]13.4904318410588[/C][C]0.248821351741438[/C][/ROW]
[ROW][C]0.14[/C][C]13.5696792443115[/C][C]0.248358017374823[/C][/ROW]
[ROW][C]0.15[/C][C]13.6461090539801[/C][C]0.251862259310935[/C][/ROW]
[ROW][C]0.16[/C][C]13.7208139235065[/C][C]0.256545214556299[/C][/ROW]
[ROW][C]0.17[/C][C]13.7940956842531[/C][C]0.259054202242415[/C][/ROW]
[ROW][C]0.18[/C][C]13.8654811947911[/C][C]0.256603076251433[/C][/ROW]
[ROW][C]0.19[/C][C]13.9339343617625[/C][C]0.24779129826352[/C][/ROW]
[ROW][C]0.2[/C][C]13.9981931475667[/C][C]0.232751201263438[/C][/ROW]
[ROW][C]0.21[/C][C]14.0571212075785[/C][C]0.212920467285873[/C][/ROW]
[ROW][C]0.22[/C][C]14.1099774598637[/C][C]0.190469749710623[/C][/ROW]
[ROW][C]0.23[/C][C]14.1565532955212[/C][C]0.167833905128725[/C][/ROW]
[ROW][C]0.24[/C][C]14.1971772370154[/C][C]0.14719922890697[/C][/ROW]
[ROW][C]0.25[/C][C]14.2326207452896[/C][C]0.130243040966142[/C][/ROW]
[ROW][C]0.26[/C][C]14.2639511250659[/C][C]0.118040744862829[/C][/ROW]
[ROW][C]0.27[/C][C]14.2923731665989[/C][C]0.111011739856371[/C][/ROW]
[ROW][C]0.28[/C][C]14.31908894553[/C][C]0.108972035716758[/C][/ROW]
[ROW][C]0.29[/C][C]14.3451920294592[/C][C]0.111230853186762[/C][/ROW]
[ROW][C]0.3[/C][C]14.3716015916406[/C][C]0.116837091938855[/C][/ROW]
[ROW][C]0.31[/C][C]14.3990342329526[/C][C]0.124844542150519[/C][/ROW]
[ROW][C]0.32[/C][C]14.4280062414945[/C][C]0.134405537942295[/C][/ROW]
[ROW][C]0.33[/C][C]14.4588562808733[/C][C]0.144931914403295[/C][/ROW]
[ROW][C]0.34[/C][C]14.4917781041900[/C][C]0.155894087171168[/C][/ROW]
[ROW][C]0.35[/C][C]14.5268547153892[/C][C]0.166953382915872[/C][/ROW]
[ROW][C]0.36[/C][C]14.5640887718715[/C][C]0.177852307800999[/C][/ROW]
[ROW][C]0.37[/C][C]14.6034277560402[/C][C]0.188371335159560[/C][/ROW]
[ROW][C]0.38[/C][C]14.6447852861519[/C][C]0.198390216938466[/C][/ROW]
[ROW][C]0.39[/C][C]14.6880611127503[/C][C]0.207872035869992[/C][/ROW]
[ROW][C]0.4[/C][C]14.7331618479175[/C][C]0.216861630340508[/C][/ROW]
[ROW][C]0.41[/C][C]14.780022945941[/C][C]0.225552431923367[/C][/ROW]
[ROW][C]0.42[/C][C]14.8286307803359[/C][C]0.234272860001001[/C][/ROW]
[ROW][C]0.43[/C][C]14.8790425145233[/C][C]0.243396136470245[/C][/ROW]
[ROW][C]0.44[/C][C]14.9314010557788[/C][C]0.253388938057905[/C][/ROW]
[ROW][C]0.45[/C][C]14.985942529974[/C][C]0.264721599632773[/C][/ROW]
[ROW][C]0.46[/C][C]15.0429941025925[/C][C]0.277858544483549[/C][/ROW]
[ROW][C]0.47[/C][C]15.1029604269142[/C][C]0.293111389442863[/C][/ROW]
[ROW][C]0.48[/C][C]15.1662976018553[/C][C]0.310695651100103[/C][/ROW]
[ROW][C]0.49[/C][C]15.2334745009794[/C][C]0.330574918693301[/C][/ROW]
[ROW][C]0.5[/C][C]15.3049228656330[/C][C]0.352436756724611[/C][/ROW]
[ROW][C]0.51[/C][C]15.3809795909457[/C][C]0.375620818802901[/C][/ROW]
[ROW][C]0.52[/C][C]15.4618268742863[/C][C]0.399217359320561[/C][/ROW]
[ROW][C]0.53[/C][C]15.5474378867015[/C][C]0.422003019074939[/C][/ROW]
[ROW][C]0.54[/C][C]15.6375368858633[/C][C]0.442679670605903[/C][/ROW]
[ROW][C]0.55[/C][C]15.7315827835406[/C][C]0.459893896715062[/C][/ROW]
[ROW][C]0.56[/C][C]15.8287837667234[/C][C]0.472415721248904[/C][/ROW]
[ROW][C]0.57[/C][C]15.9281474424338[/C][C]0.47936628551034[/C][/ROW]
[ROW][C]0.58[/C][C]16.0285661863932[/C][C]0.480350016633851[/C][/ROW]
[ROW][C]0.59[/C][C]16.1289313969136[/C][C]0.475604785492153[/C][/ROW]
[ROW][C]0.6[/C][C]16.2282641421978[/C][C]0.465966302278613[/C][/ROW]
[ROW][C]0.61[/C][C]16.3258445375474[/C][C]0.453010619914396[/C][/ROW]
[ROW][C]0.62[/C][C]16.4213193913963[/C][C]0.438799616057141[/C][/ROW]
[ROW][C]0.63[/C][C]16.5147681110758[/C][C]0.425603447771373[/C][/ROW]
[ROW][C]0.64[/C][C]16.6067108263819[/C][C]0.415743399803629[/C][/ROW]
[ROW][C]0.65[/C][C]16.6980498440375[/C][C]0.411024021963776[/C][/ROW]
[ROW][C]0.66[/C][C]16.789945182731[/C][C]0.412510460285905[/C][/ROW]
[ROW][C]0.67[/C][C]16.8836361268406[/C][C]0.4201891208532[/C][/ROW]
[ROW][C]0.68[/C][C]16.9802322352281[/C][C]0.432832600400022[/C][/ROW]
[ROW][C]0.69[/C][C]17.0805072147802[/C][C]0.448272137363882[/C][/ROW]
[ROW][C]0.7[/C][C]17.1847349329444[/C][C]0.463614420812981[/C][/ROW]
[ROW][C]0.71[/C][C]17.2926056236528[/C][C]0.475877218506889[/C][/ROW]
[ROW][C]0.72[/C][C]17.4032497028477[/C][C]0.482477543028004[/C][/ROW]
[ROW][C]0.73[/C][C]17.5153763073740[/C][C]0.481767131046819[/C][/ROW]
[ROW][C]0.74[/C][C]17.6275067517317[/C][C]0.473443105725287[/C][/ROW]
[ROW][C]0.75[/C][C]17.7382560946199[/C][C]0.458548825463489[/C][/ROW]
[ROW][C]0.76[/C][C]17.8465975960063[/C][C]0.439324049882955[/C][/ROW]
[ROW][C]0.77[/C][C]17.9520429995638[/C][C]0.41867855611098[/C][/ROW]
[ROW][C]0.78[/C][C]18.0546900192605[/C][C]0.399504790995174[/C][/ROW]
[ROW][C]0.79[/C][C]18.1551238561957[/C][C]0.383858987485909[/C][/ROW]
[ROW][C]0.8[/C][C]18.2542014972485[/C][C]0.372556150671459[/C][/ROW]
[ROW][C]0.81[/C][C]18.3527815351834[/C][C]0.364860518016194[/C][/ROW]
[ROW][C]0.82[/C][C]18.4514761380538[/C][C]0.35909872074391[/C][/ROW]
[ROW][C]0.83[/C][C]18.5504916720123[/C][C]0.353171483974347[/C][/ROW]
[ROW][C]0.84[/C][C]18.6495967978325[/C][C]0.345222890480971[/C][/ROW]
[ROW][C]0.85[/C][C]18.7482248953618[/C][C]0.334141719920498[/C][/ROW]
[ROW][C]0.86[/C][C]18.8456946335916[/C][C]0.319772858925249[/C][/ROW]
[ROW][C]0.87[/C][C]18.9415265351556[/C][C]0.302993241416335[/C][/ROW]
[ROW][C]0.88[/C][C]19.0358478442400[/C][C]0.285841400235014[/C][/ROW]
[ROW][C]0.89[/C][C]19.1299134791046[/C][C]0.271582091079818[/C][/ROW]
[ROW][C]0.9[/C][C]19.2268178144718[/C][C]0.264900067903313[/C][/ROW]
[ROW][C]0.91[/C][C]19.3324840032986[/C][C]0.27259769259655[/C][/ROW]
[ROW][C]0.92[/C][C]19.4568723532324[/C][C]0.303663720484689[/C][/ROW]
[ROW][C]0.93[/C][C]19.614851479669[/C][C]0.367446697224074[/C][/ROW]
[ROW][C]0.94[/C][C]19.8252450501102[/C][C]0.467027851360002[/C][/ROW]
[ROW][C]0.95[/C][C]20.1058596543605[/C][C]0.588236482947314[/C][/ROW]
[ROW][C]0.96[/C][C]20.4640967402002[/C][C]0.689401160651543[/C][/ROW]
[ROW][C]0.97[/C][C]20.8892202599434[/C][C]0.71022200331586[/C][/ROW]
[ROW][C]0.98[/C][C]21.3542135057787[/C][C]0.630088956794202[/C][/ROW]
[ROW][C]0.99[/C][C]21.8048618164698[/C][C]0.557624955866208[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15649&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15649&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
0.0111.95247152119340.133025933016376
0.0212.07917042871110.250531343325737
0.0312.24749474172950.286730166488120
0.0412.41859109311880.287020744207649
0.0512.57676411051390.293594274033763
0.0612.72281999025390.306966141674870
0.0712.86011890268430.313511072061482
0.0812.98911591269970.308324887457134
0.0913.10850722641010.295123668722798
0.113.21743084329100.279490812037994
0.1113.31631967842660.265231022083848
0.1213.40665653511050.254572691522756
0.1313.49043184105880.248821351741438
0.1413.56967924431150.248358017374823
0.1513.64610905398010.251862259310935
0.1613.72081392350650.256545214556299
0.1713.79409568425310.259054202242415
0.1813.86548119479110.256603076251433
0.1913.93393436176250.24779129826352
0.213.99819314756670.232751201263438
0.2114.05712120757850.212920467285873
0.2214.10997745986370.190469749710623
0.2314.15655329552120.167833905128725
0.2414.19717723701540.14719922890697
0.2514.23262074528960.130243040966142
0.2614.26395112506590.118040744862829
0.2714.29237316659890.111011739856371
0.2814.319088945530.108972035716758
0.2914.34519202945920.111230853186762
0.314.37160159164060.116837091938855
0.3114.39903423295260.124844542150519
0.3214.42800624149450.134405537942295
0.3314.45885628087330.144931914403295
0.3414.49177810419000.155894087171168
0.3514.52685471538920.166953382915872
0.3614.56408877187150.177852307800999
0.3714.60342775604020.188371335159560
0.3814.64478528615190.198390216938466
0.3914.68806111275030.207872035869992
0.414.73316184791750.216861630340508
0.4114.7800229459410.225552431923367
0.4214.82863078033590.234272860001001
0.4314.87904251452330.243396136470245
0.4414.93140105577880.253388938057905
0.4514.9859425299740.264721599632773
0.4615.04299410259250.277858544483549
0.4715.10296042691420.293111389442863
0.4815.16629760185530.310695651100103
0.4915.23347450097940.330574918693301
0.515.30492286563300.352436756724611
0.5115.38097959094570.375620818802901
0.5215.46182687428630.399217359320561
0.5315.54743788670150.422003019074939
0.5415.63753688586330.442679670605903
0.5515.73158278354060.459893896715062
0.5615.82878376672340.472415721248904
0.5715.92814744243380.47936628551034
0.5816.02856618639320.480350016633851
0.5916.12893139691360.475604785492153
0.616.22826414219780.465966302278613
0.6116.32584453754740.453010619914396
0.6216.42131939139630.438799616057141
0.6316.51476811107580.425603447771373
0.6416.60671082638190.415743399803629
0.6516.69804984403750.411024021963776
0.6616.7899451827310.412510460285905
0.6716.88363612684060.4201891208532
0.6816.98023223522810.432832600400022
0.6917.08050721478020.448272137363882
0.717.18473493294440.463614420812981
0.7117.29260562365280.475877218506889
0.7217.40324970284770.482477543028004
0.7317.51537630737400.481767131046819
0.7417.62750675173170.473443105725287
0.7517.73825609461990.458548825463489
0.7617.84659759600630.439324049882955
0.7717.95204299956380.41867855611098
0.7818.05469001926050.399504790995174
0.7918.15512385619570.383858987485909
0.818.25420149724850.372556150671459
0.8118.35278153518340.364860518016194
0.8218.45147613805380.35909872074391
0.8318.55049167201230.353171483974347
0.8418.64959679783250.345222890480971
0.8518.74822489536180.334141719920498
0.8618.84569463359160.319772858925249
0.8718.94152653515560.302993241416335
0.8819.03584784424000.285841400235014
0.8919.12991347910460.271582091079818
0.919.22681781447180.264900067903313
0.9119.33248400329860.27259769259655
0.9219.45687235323240.303663720484689
0.9319.6148514796690.367446697224074
0.9419.82524505011020.467027851360002
0.9520.10585965436050.588236482947314
0.9620.46409674020020.689401160651543
0.9720.88922025994340.71022200331586
0.9821.35421350577870.630088956794202
0.9921.80486181646980.557624955866208


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')