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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 computationFri, 05 Oct 2012 07:44:23 -0400
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/Oct/05/t134943748107tgutd5f2scxhe.htm/, Retrieved Thu, 02 May 2024 15:19:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=172246, Retrieved Thu, 02 May 2024 15:19:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118

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] [Het gemiddeld spa...] [2012-10-05 11:44:23] [d04b85262060aaf5e7973d5e79a5225e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14
19
16
16
11
13
12
11
6
9
6
15
17
13
12
13
10
14
13
10
11
12
7
11
9
13
12
5
13
11
8
8
8
8
0
3
0
-1
-1
-4
1
-1
0
-1
6
0
-3
-3
4
1
0
-4
-2
3
2
5
6
6
3
4
7
5
6
1
3
6
0
3
4
7
6
6
6
6
2
2
2
3
-1
-4
4
5
3
-1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172246&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172246&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172246&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-3.960355962566730.127650297649358
0.02-3.829171292920750.377267374203034
0.03-3.581582926804830.643758056047234
0.04-3.234966774723340.843522665720247
0.05-2.832024101865340.950850428222081
0.06-2.418662895260720.966223575843999
0.07-2.031509150110910.901211362908121
0.08-1.693434158696890.783059459641766
0.09-1.412775198951720.65140209902763
0.1-1.18522306766440.544641974564745
0.11-0.9982746052436750.48565170464365
0.12-0.8368210410097750.473566206764247
0.13-0.6877338997273940.490359722158055
0.14-0.5421015050207950.517436634165106
0.15-0.3951433382945130.544996830889298
0.16-0.2447693000267650.572104053208017
0.17-0.08992848296613550.602934483078791
0.180.07047588938288440.64210131426627
0.190.2378673619397760.691037214974255
0.20.4136595506485810.746907976875191
0.210.5986781849473540.80386432062892
0.220.7926907584406760.855182949520507
0.230.9942406688791440.895090436649458
0.241.200810402962920.919828847517734
0.251.409217754346820.92800402252822
0.261.616104931010770.920378749003352
0.271.818398604546730.899395425388747
0.282.013667191766980.868626945936775
0.292.200349453758080.83231212326948
0.32.377858776864940.795021448699391
0.312.546578309383240.761340321188991
0.322.707761379270210.735511498525953
0.332.863349495856390.720930214567316
0.343.015723204178350.719544197726589
0.353.167409513017730.731424591257602
0.363.320779178893280.754709237488451
0.373.477772029247310.786035805553475
0.383.639685018318850.821196245951756
0.393.807045985973550.855815956931997
0.43.979579866103840.885822188445775
0.414.156258711884770.907776298180439
0.424.33541687561880.919029330031642
0.434.514909903080790.917779279687323
0.444.692299056948270.903097812262523
0.454.865049618518640.874974592714288
0.465.030736458720420.83432767799533
0.475.18725209975180.783052178859673
0.485.333009878644110.724023294004262
0.495.46712919329230.6610272149308
0.55.589583840761230.598655431548134
0.515.701291122745020.54209329405792
0.525.804120938958050.49682991465595
0.535.900811357012310.468182995941827
0.545.994789378045220.460426243317684
0.556.089910679170470.475640269605998
0.566.19014699595180.513040942773226
0.576.299261222133050.569372680651735
0.586.420515298080110.63995921995165
0.596.556452520246140.719658882454108
0.66.708783529349620.803528161760409
0.616.878385397885780.887292021265044
0.627.065399558033630.96771588969873
0.637.269392201010491.04273452290609
0.647.489526400704791.11133263632574
0.657.724693813777161.1731255399814
0.667.973567795586741.22775262599034
0.678.234567189769781.2743298441106
0.688.505754153080971.31103282121143
0.698.784719830103071.33519240791125
0.79.068527410667141.34380909898853
0.719.353775099406631.3343648698398
0.729.636810510524611.30576218643836
0.739.914080196290591.2590250709182
0.7410.18254797155091.19756794429664
0.7510.44008081691511.12685701680663
0.7610.68569521476831.05346790341001
0.7710.91958409600940.983796035685888
0.7811.14289781061030.922585628959534
0.7911.35731597485660.871863670047028
0.811.56450404161950.830573926581742
0.8111.76558846433610.795080314950752
0.8211.96080435957360.760347888467493
0.8312.14946786406140.721493160339767
0.8412.33039251598410.675529882836147
0.8512.50278668070450.623133647775104
0.8612.6675248113850.570187839931145
0.8712.82849836709570.528615818393163
0.8812.99358827005360.515086936391518
0.8913.17474947000560.54501156793451
0.913.38681402524990.623056088316374
0.9113.64488814070580.739320139221805
0.9213.9606446740790.872337161657305
0.9314.33860387489810.992065630668712
0.9414.77502921798961.06503223176753
0.9515.26408323059071.07052703107387
0.9615.81551668387781.03197450240519
0.9716.47669951099611.04584165749743
0.9817.3155017915751.24114505022882
0.9918.28140536825651.62808071180732

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -3.96035596256673 & 0.127650297649358 \tabularnewline
0.02 & -3.82917129292075 & 0.377267374203034 \tabularnewline
0.03 & -3.58158292680483 & 0.643758056047234 \tabularnewline
0.04 & -3.23496677472334 & 0.843522665720247 \tabularnewline
0.05 & -2.83202410186534 & 0.950850428222081 \tabularnewline
0.06 & -2.41866289526072 & 0.966223575843999 \tabularnewline
0.07 & -2.03150915011091 & 0.901211362908121 \tabularnewline
0.08 & -1.69343415869689 & 0.783059459641766 \tabularnewline
0.09 & -1.41277519895172 & 0.65140209902763 \tabularnewline
0.1 & -1.1852230676644 & 0.544641974564745 \tabularnewline
0.11 & -0.998274605243675 & 0.48565170464365 \tabularnewline
0.12 & -0.836821041009775 & 0.473566206764247 \tabularnewline
0.13 & -0.687733899727394 & 0.490359722158055 \tabularnewline
0.14 & -0.542101505020795 & 0.517436634165106 \tabularnewline
0.15 & -0.395143338294513 & 0.544996830889298 \tabularnewline
0.16 & -0.244769300026765 & 0.572104053208017 \tabularnewline
0.17 & -0.0899284829661355 & 0.602934483078791 \tabularnewline
0.18 & 0.0704758893828844 & 0.64210131426627 \tabularnewline
0.19 & 0.237867361939776 & 0.691037214974255 \tabularnewline
0.2 & 0.413659550648581 & 0.746907976875191 \tabularnewline
0.21 & 0.598678184947354 & 0.80386432062892 \tabularnewline
0.22 & 0.792690758440676 & 0.855182949520507 \tabularnewline
0.23 & 0.994240668879144 & 0.895090436649458 \tabularnewline
0.24 & 1.20081040296292 & 0.919828847517734 \tabularnewline
0.25 & 1.40921775434682 & 0.92800402252822 \tabularnewline
0.26 & 1.61610493101077 & 0.920378749003352 \tabularnewline
0.27 & 1.81839860454673 & 0.899395425388747 \tabularnewline
0.28 & 2.01366719176698 & 0.868626945936775 \tabularnewline
0.29 & 2.20034945375808 & 0.83231212326948 \tabularnewline
0.3 & 2.37785877686494 & 0.795021448699391 \tabularnewline
0.31 & 2.54657830938324 & 0.761340321188991 \tabularnewline
0.32 & 2.70776137927021 & 0.735511498525953 \tabularnewline
0.33 & 2.86334949585639 & 0.720930214567316 \tabularnewline
0.34 & 3.01572320417835 & 0.719544197726589 \tabularnewline
0.35 & 3.16740951301773 & 0.731424591257602 \tabularnewline
0.36 & 3.32077917889328 & 0.754709237488451 \tabularnewline
0.37 & 3.47777202924731 & 0.786035805553475 \tabularnewline
0.38 & 3.63968501831885 & 0.821196245951756 \tabularnewline
0.39 & 3.80704598597355 & 0.855815956931997 \tabularnewline
0.4 & 3.97957986610384 & 0.885822188445775 \tabularnewline
0.41 & 4.15625871188477 & 0.907776298180439 \tabularnewline
0.42 & 4.3354168756188 & 0.919029330031642 \tabularnewline
0.43 & 4.51490990308079 & 0.917779279687323 \tabularnewline
0.44 & 4.69229905694827 & 0.903097812262523 \tabularnewline
0.45 & 4.86504961851864 & 0.874974592714288 \tabularnewline
0.46 & 5.03073645872042 & 0.83432767799533 \tabularnewline
0.47 & 5.1872520997518 & 0.783052178859673 \tabularnewline
0.48 & 5.33300987864411 & 0.724023294004262 \tabularnewline
0.49 & 5.4671291932923 & 0.6610272149308 \tabularnewline
0.5 & 5.58958384076123 & 0.598655431548134 \tabularnewline
0.51 & 5.70129112274502 & 0.54209329405792 \tabularnewline
0.52 & 5.80412093895805 & 0.49682991465595 \tabularnewline
0.53 & 5.90081135701231 & 0.468182995941827 \tabularnewline
0.54 & 5.99478937804522 & 0.460426243317684 \tabularnewline
0.55 & 6.08991067917047 & 0.475640269605998 \tabularnewline
0.56 & 6.1901469959518 & 0.513040942773226 \tabularnewline
0.57 & 6.29926122213305 & 0.569372680651735 \tabularnewline
0.58 & 6.42051529808011 & 0.63995921995165 \tabularnewline
0.59 & 6.55645252024614 & 0.719658882454108 \tabularnewline
0.6 & 6.70878352934962 & 0.803528161760409 \tabularnewline
0.61 & 6.87838539788578 & 0.887292021265044 \tabularnewline
0.62 & 7.06539955803363 & 0.96771588969873 \tabularnewline
0.63 & 7.26939220101049 & 1.04273452290609 \tabularnewline
0.64 & 7.48952640070479 & 1.11133263632574 \tabularnewline
0.65 & 7.72469381377716 & 1.1731255399814 \tabularnewline
0.66 & 7.97356779558674 & 1.22775262599034 \tabularnewline
0.67 & 8.23456718976978 & 1.2743298441106 \tabularnewline
0.68 & 8.50575415308097 & 1.31103282121143 \tabularnewline
0.69 & 8.78471983010307 & 1.33519240791125 \tabularnewline
0.7 & 9.06852741066714 & 1.34380909898853 \tabularnewline
0.71 & 9.35377509940663 & 1.3343648698398 \tabularnewline
0.72 & 9.63681051052461 & 1.30576218643836 \tabularnewline
0.73 & 9.91408019629059 & 1.2590250709182 \tabularnewline
0.74 & 10.1825479715509 & 1.19756794429664 \tabularnewline
0.75 & 10.4400808169151 & 1.12685701680663 \tabularnewline
0.76 & 10.6856952147683 & 1.05346790341001 \tabularnewline
0.77 & 10.9195840960094 & 0.983796035685888 \tabularnewline
0.78 & 11.1428978106103 & 0.922585628959534 \tabularnewline
0.79 & 11.3573159748566 & 0.871863670047028 \tabularnewline
0.8 & 11.5645040416195 & 0.830573926581742 \tabularnewline
0.81 & 11.7655884643361 & 0.795080314950752 \tabularnewline
0.82 & 11.9608043595736 & 0.760347888467493 \tabularnewline
0.83 & 12.1494678640614 & 0.721493160339767 \tabularnewline
0.84 & 12.3303925159841 & 0.675529882836147 \tabularnewline
0.85 & 12.5027866807045 & 0.623133647775104 \tabularnewline
0.86 & 12.667524811385 & 0.570187839931145 \tabularnewline
0.87 & 12.8284983670957 & 0.528615818393163 \tabularnewline
0.88 & 12.9935882700536 & 0.515086936391518 \tabularnewline
0.89 & 13.1747494700056 & 0.54501156793451 \tabularnewline
0.9 & 13.3868140252499 & 0.623056088316374 \tabularnewline
0.91 & 13.6448881407058 & 0.739320139221805 \tabularnewline
0.92 & 13.960644674079 & 0.872337161657305 \tabularnewline
0.93 & 14.3386038748981 & 0.992065630668712 \tabularnewline
0.94 & 14.7750292179896 & 1.06503223176753 \tabularnewline
0.95 & 15.2640832305907 & 1.07052703107387 \tabularnewline
0.96 & 15.8155166838778 & 1.03197450240519 \tabularnewline
0.97 & 16.4766995109961 & 1.04584165749743 \tabularnewline
0.98 & 17.315501791575 & 1.24114505022882 \tabularnewline
0.99 & 18.2814053682565 & 1.62808071180732 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172246&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]-3.96035596256673[/C][C]0.127650297649358[/C][/ROW]
[ROW][C]0.02[/C][C]-3.82917129292075[/C][C]0.377267374203034[/C][/ROW]
[ROW][C]0.03[/C][C]-3.58158292680483[/C][C]0.643758056047234[/C][/ROW]
[ROW][C]0.04[/C][C]-3.23496677472334[/C][C]0.843522665720247[/C][/ROW]
[ROW][C]0.05[/C][C]-2.83202410186534[/C][C]0.950850428222081[/C][/ROW]
[ROW][C]0.06[/C][C]-2.41866289526072[/C][C]0.966223575843999[/C][/ROW]
[ROW][C]0.07[/C][C]-2.03150915011091[/C][C]0.901211362908121[/C][/ROW]
[ROW][C]0.08[/C][C]-1.69343415869689[/C][C]0.783059459641766[/C][/ROW]
[ROW][C]0.09[/C][C]-1.41277519895172[/C][C]0.65140209902763[/C][/ROW]
[ROW][C]0.1[/C][C]-1.1852230676644[/C][C]0.544641974564745[/C][/ROW]
[ROW][C]0.11[/C][C]-0.998274605243675[/C][C]0.48565170464365[/C][/ROW]
[ROW][C]0.12[/C][C]-0.836821041009775[/C][C]0.473566206764247[/C][/ROW]
[ROW][C]0.13[/C][C]-0.687733899727394[/C][C]0.490359722158055[/C][/ROW]
[ROW][C]0.14[/C][C]-0.542101505020795[/C][C]0.517436634165106[/C][/ROW]
[ROW][C]0.15[/C][C]-0.395143338294513[/C][C]0.544996830889298[/C][/ROW]
[ROW][C]0.16[/C][C]-0.244769300026765[/C][C]0.572104053208017[/C][/ROW]
[ROW][C]0.17[/C][C]-0.0899284829661355[/C][C]0.602934483078791[/C][/ROW]
[ROW][C]0.18[/C][C]0.0704758893828844[/C][C]0.64210131426627[/C][/ROW]
[ROW][C]0.19[/C][C]0.237867361939776[/C][C]0.691037214974255[/C][/ROW]
[ROW][C]0.2[/C][C]0.413659550648581[/C][C]0.746907976875191[/C][/ROW]
[ROW][C]0.21[/C][C]0.598678184947354[/C][C]0.80386432062892[/C][/ROW]
[ROW][C]0.22[/C][C]0.792690758440676[/C][C]0.855182949520507[/C][/ROW]
[ROW][C]0.23[/C][C]0.994240668879144[/C][C]0.895090436649458[/C][/ROW]
[ROW][C]0.24[/C][C]1.20081040296292[/C][C]0.919828847517734[/C][/ROW]
[ROW][C]0.25[/C][C]1.40921775434682[/C][C]0.92800402252822[/C][/ROW]
[ROW][C]0.26[/C][C]1.61610493101077[/C][C]0.920378749003352[/C][/ROW]
[ROW][C]0.27[/C][C]1.81839860454673[/C][C]0.899395425388747[/C][/ROW]
[ROW][C]0.28[/C][C]2.01366719176698[/C][C]0.868626945936775[/C][/ROW]
[ROW][C]0.29[/C][C]2.20034945375808[/C][C]0.83231212326948[/C][/ROW]
[ROW][C]0.3[/C][C]2.37785877686494[/C][C]0.795021448699391[/C][/ROW]
[ROW][C]0.31[/C][C]2.54657830938324[/C][C]0.761340321188991[/C][/ROW]
[ROW][C]0.32[/C][C]2.70776137927021[/C][C]0.735511498525953[/C][/ROW]
[ROW][C]0.33[/C][C]2.86334949585639[/C][C]0.720930214567316[/C][/ROW]
[ROW][C]0.34[/C][C]3.01572320417835[/C][C]0.719544197726589[/C][/ROW]
[ROW][C]0.35[/C][C]3.16740951301773[/C][C]0.731424591257602[/C][/ROW]
[ROW][C]0.36[/C][C]3.32077917889328[/C][C]0.754709237488451[/C][/ROW]
[ROW][C]0.37[/C][C]3.47777202924731[/C][C]0.786035805553475[/C][/ROW]
[ROW][C]0.38[/C][C]3.63968501831885[/C][C]0.821196245951756[/C][/ROW]
[ROW][C]0.39[/C][C]3.80704598597355[/C][C]0.855815956931997[/C][/ROW]
[ROW][C]0.4[/C][C]3.97957986610384[/C][C]0.885822188445775[/C][/ROW]
[ROW][C]0.41[/C][C]4.15625871188477[/C][C]0.907776298180439[/C][/ROW]
[ROW][C]0.42[/C][C]4.3354168756188[/C][C]0.919029330031642[/C][/ROW]
[ROW][C]0.43[/C][C]4.51490990308079[/C][C]0.917779279687323[/C][/ROW]
[ROW][C]0.44[/C][C]4.69229905694827[/C][C]0.903097812262523[/C][/ROW]
[ROW][C]0.45[/C][C]4.86504961851864[/C][C]0.874974592714288[/C][/ROW]
[ROW][C]0.46[/C][C]5.03073645872042[/C][C]0.83432767799533[/C][/ROW]
[ROW][C]0.47[/C][C]5.1872520997518[/C][C]0.783052178859673[/C][/ROW]
[ROW][C]0.48[/C][C]5.33300987864411[/C][C]0.724023294004262[/C][/ROW]
[ROW][C]0.49[/C][C]5.4671291932923[/C][C]0.6610272149308[/C][/ROW]
[ROW][C]0.5[/C][C]5.58958384076123[/C][C]0.598655431548134[/C][/ROW]
[ROW][C]0.51[/C][C]5.70129112274502[/C][C]0.54209329405792[/C][/ROW]
[ROW][C]0.52[/C][C]5.80412093895805[/C][C]0.49682991465595[/C][/ROW]
[ROW][C]0.53[/C][C]5.90081135701231[/C][C]0.468182995941827[/C][/ROW]
[ROW][C]0.54[/C][C]5.99478937804522[/C][C]0.460426243317684[/C][/ROW]
[ROW][C]0.55[/C][C]6.08991067917047[/C][C]0.475640269605998[/C][/ROW]
[ROW][C]0.56[/C][C]6.1901469959518[/C][C]0.513040942773226[/C][/ROW]
[ROW][C]0.57[/C][C]6.29926122213305[/C][C]0.569372680651735[/C][/ROW]
[ROW][C]0.58[/C][C]6.42051529808011[/C][C]0.63995921995165[/C][/ROW]
[ROW][C]0.59[/C][C]6.55645252024614[/C][C]0.719658882454108[/C][/ROW]
[ROW][C]0.6[/C][C]6.70878352934962[/C][C]0.803528161760409[/C][/ROW]
[ROW][C]0.61[/C][C]6.87838539788578[/C][C]0.887292021265044[/C][/ROW]
[ROW][C]0.62[/C][C]7.06539955803363[/C][C]0.96771588969873[/C][/ROW]
[ROW][C]0.63[/C][C]7.26939220101049[/C][C]1.04273452290609[/C][/ROW]
[ROW][C]0.64[/C][C]7.48952640070479[/C][C]1.11133263632574[/C][/ROW]
[ROW][C]0.65[/C][C]7.72469381377716[/C][C]1.1731255399814[/C][/ROW]
[ROW][C]0.66[/C][C]7.97356779558674[/C][C]1.22775262599034[/C][/ROW]
[ROW][C]0.67[/C][C]8.23456718976978[/C][C]1.2743298441106[/C][/ROW]
[ROW][C]0.68[/C][C]8.50575415308097[/C][C]1.31103282121143[/C][/ROW]
[ROW][C]0.69[/C][C]8.78471983010307[/C][C]1.33519240791125[/C][/ROW]
[ROW][C]0.7[/C][C]9.06852741066714[/C][C]1.34380909898853[/C][/ROW]
[ROW][C]0.71[/C][C]9.35377509940663[/C][C]1.3343648698398[/C][/ROW]
[ROW][C]0.72[/C][C]9.63681051052461[/C][C]1.30576218643836[/C][/ROW]
[ROW][C]0.73[/C][C]9.91408019629059[/C][C]1.2590250709182[/C][/ROW]
[ROW][C]0.74[/C][C]10.1825479715509[/C][C]1.19756794429664[/C][/ROW]
[ROW][C]0.75[/C][C]10.4400808169151[/C][C]1.12685701680663[/C][/ROW]
[ROW][C]0.76[/C][C]10.6856952147683[/C][C]1.05346790341001[/C][/ROW]
[ROW][C]0.77[/C][C]10.9195840960094[/C][C]0.983796035685888[/C][/ROW]
[ROW][C]0.78[/C][C]11.1428978106103[/C][C]0.922585628959534[/C][/ROW]
[ROW][C]0.79[/C][C]11.3573159748566[/C][C]0.871863670047028[/C][/ROW]
[ROW][C]0.8[/C][C]11.5645040416195[/C][C]0.830573926581742[/C][/ROW]
[ROW][C]0.81[/C][C]11.7655884643361[/C][C]0.795080314950752[/C][/ROW]
[ROW][C]0.82[/C][C]11.9608043595736[/C][C]0.760347888467493[/C][/ROW]
[ROW][C]0.83[/C][C]12.1494678640614[/C][C]0.721493160339767[/C][/ROW]
[ROW][C]0.84[/C][C]12.3303925159841[/C][C]0.675529882836147[/C][/ROW]
[ROW][C]0.85[/C][C]12.5027866807045[/C][C]0.623133647775104[/C][/ROW]
[ROW][C]0.86[/C][C]12.667524811385[/C][C]0.570187839931145[/C][/ROW]
[ROW][C]0.87[/C][C]12.8284983670957[/C][C]0.528615818393163[/C][/ROW]
[ROW][C]0.88[/C][C]12.9935882700536[/C][C]0.515086936391518[/C][/ROW]
[ROW][C]0.89[/C][C]13.1747494700056[/C][C]0.54501156793451[/C][/ROW]
[ROW][C]0.9[/C][C]13.3868140252499[/C][C]0.623056088316374[/C][/ROW]
[ROW][C]0.91[/C][C]13.6448881407058[/C][C]0.739320139221805[/C][/ROW]
[ROW][C]0.92[/C][C]13.960644674079[/C][C]0.872337161657305[/C][/ROW]
[ROW][C]0.93[/C][C]14.3386038748981[/C][C]0.992065630668712[/C][/ROW]
[ROW][C]0.94[/C][C]14.7750292179896[/C][C]1.06503223176753[/C][/ROW]
[ROW][C]0.95[/C][C]15.2640832305907[/C][C]1.07052703107387[/C][/ROW]
[ROW][C]0.96[/C][C]15.8155166838778[/C][C]1.03197450240519[/C][/ROW]
[ROW][C]0.97[/C][C]16.4766995109961[/C][C]1.04584165749743[/C][/ROW]
[ROW][C]0.98[/C][C]17.315501791575[/C][C]1.24114505022882[/C][/ROW]
[ROW][C]0.99[/C][C]18.2814053682565[/C][C]1.62808071180732[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172246&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172246&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
0.01-3.960355962566730.127650297649358
0.02-3.829171292920750.377267374203034
0.03-3.581582926804830.643758056047234
0.04-3.234966774723340.843522665720247
0.05-2.832024101865340.950850428222081
0.06-2.418662895260720.966223575843999
0.07-2.031509150110910.901211362908121
0.08-1.693434158696890.783059459641766
0.09-1.412775198951720.65140209902763
0.1-1.18522306766440.544641974564745
0.11-0.9982746052436750.48565170464365
0.12-0.8368210410097750.473566206764247
0.13-0.6877338997273940.490359722158055
0.14-0.5421015050207950.517436634165106
0.15-0.3951433382945130.544996830889298
0.16-0.2447693000267650.572104053208017
0.17-0.08992848296613550.602934483078791
0.180.07047588938288440.64210131426627
0.190.2378673619397760.691037214974255
0.20.4136595506485810.746907976875191
0.210.5986781849473540.80386432062892
0.220.7926907584406760.855182949520507
0.230.9942406688791440.895090436649458
0.241.200810402962920.919828847517734
0.251.409217754346820.92800402252822
0.261.616104931010770.920378749003352
0.271.818398604546730.899395425388747
0.282.013667191766980.868626945936775
0.292.200349453758080.83231212326948
0.32.377858776864940.795021448699391
0.312.546578309383240.761340321188991
0.322.707761379270210.735511498525953
0.332.863349495856390.720930214567316
0.343.015723204178350.719544197726589
0.353.167409513017730.731424591257602
0.363.320779178893280.754709237488451
0.373.477772029247310.786035805553475
0.383.639685018318850.821196245951756
0.393.807045985973550.855815956931997
0.43.979579866103840.885822188445775
0.414.156258711884770.907776298180439
0.424.33541687561880.919029330031642
0.434.514909903080790.917779279687323
0.444.692299056948270.903097812262523
0.454.865049618518640.874974592714288
0.465.030736458720420.83432767799533
0.475.18725209975180.783052178859673
0.485.333009878644110.724023294004262
0.495.46712919329230.6610272149308
0.55.589583840761230.598655431548134
0.515.701291122745020.54209329405792
0.525.804120938958050.49682991465595
0.535.900811357012310.468182995941827
0.545.994789378045220.460426243317684
0.556.089910679170470.475640269605998
0.566.19014699595180.513040942773226
0.576.299261222133050.569372680651735
0.586.420515298080110.63995921995165
0.596.556452520246140.719658882454108
0.66.708783529349620.803528161760409
0.616.878385397885780.887292021265044
0.627.065399558033630.96771588969873
0.637.269392201010491.04273452290609
0.647.489526400704791.11133263632574
0.657.724693813777161.1731255399814
0.667.973567795586741.22775262599034
0.678.234567189769781.2743298441106
0.688.505754153080971.31103282121143
0.698.784719830103071.33519240791125
0.79.068527410667141.34380909898853
0.719.353775099406631.3343648698398
0.729.636810510524611.30576218643836
0.739.914080196290591.2590250709182
0.7410.18254797155091.19756794429664
0.7510.44008081691511.12685701680663
0.7610.68569521476831.05346790341001
0.7710.91958409600940.983796035685888
0.7811.14289781061030.922585628959534
0.7911.35731597485660.871863670047028
0.811.56450404161950.830573926581742
0.8111.76558846433610.795080314950752
0.8211.96080435957360.760347888467493
0.8312.14946786406140.721493160339767
0.8412.33039251598410.675529882836147
0.8512.50278668070450.623133647775104
0.8612.6675248113850.570187839931145
0.8712.82849836709570.528615818393163
0.8812.99358827005360.515086936391518
0.8913.17474947000560.54501156793451
0.913.38681402524990.623056088316374
0.9113.64488814070580.739320139221805
0.9213.9606446740790.872337161657305
0.9314.33860387489810.992065630668712
0.9414.77502921798961.06503223176753
0.9515.26408323059071.07052703107387
0.9615.81551668387781.03197450240519
0.9716.47669951099611.04584165749743
0.9817.3155017915751.24114505022882
0.9918.28140536825651.62808071180732


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')