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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 computationSun, 05 Oct 2014 11:38:01 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/05/t1412505556lwgp3spwolhxhwc.htm/, Retrieved Sat, 11 May 2024 13:29:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238695, Retrieved Sat, 11 May 2024 13:29:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107

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] [] [2014-10-05 10:38:01] [ce030e64aa9efcfbf032d2aff4cc4bf0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1,5
1,439
1,49
1,502
1,531
1,611
1,644
1,559
1,553
1,494
1,298
1,215
1,179
1,267
1,282
1,304
1,32
1,413
1,38
1,426
1,394
1,354
1,415
1,406
1,44
1,449
1,489
1,53
1,548
1,518
1,507
1,499
1,487
1,487
1,491
1,56
1,587
1,584
1,647
1,666
1,699
1,671
1,622
1,669
1,663
1,624
1,621
1,607
1,671
1,699
1,751
1,821
1,77
1,734
1,703
1,752
1,823
1,827
1,773
1,75
1,733
1,765
1,791
1,773
1,712
1,735
1,729
1,769
1,776
1,709
1,678
1,691

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'George Udny Yule' @ yule.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238695&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238695&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238695&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'George Udny Yule' @ yule.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.192611030993660.0377008083679712
0.021.214196074383730.0401332035564582
0.031.237227365541290.0392482579370608
0.041.257967881616460.035821335784464
0.051.275557624005840.0329846712446154
0.061.290639745817210.0326225078320854
0.071.304255834496050.0345117143685914
0.081.317254253889460.0373600367088562
0.091.33008310008980.0398903778035081
0.11.342815871301460.0412817624474934
0.111.355284876933310.0412385678916846
0.121.367233822556420.0399068563016861
0.131.378438341751460.0377274006227886
0.141.388774138540750.0352450715550811
0.151.398234101407170.0329525616192146
0.161.406908121214450.0311949378239271
0.171.414943461252760.0301036898984519
0.181.422501645587220.0296220302556699
0.191.429722876124650.0295486403076251
0.21.436703521519030.0296241006683198
0.211.443487765541030.0295893771060153
0.221.450071542929720.029255089947738
0.231.456415282052230.0285028642670901
0.241.462461375711930.02731472916243
0.251.468152423951090.0257530389793236
0.261.473446941805550.0239569970920686
0.271.478330245128220.0221022521335734
0.281.48281943992430.0203824923988495
0.291.486962631737880.0189786639022129
0.31.490833433128320.0180337233702257
0.311.494522433459530.0176311521313465
0.321.49812746194220.0177829957166503
0.331.501744280004070.0184359859299992
0.341.50545890821090.0195025567565025
0.351.509342269928080.0208677055173138
0.361.513447338343550.0224209573234575
0.371.517808579367560.0240642650824873
0.381.522443219202220.025714794343776
0.391.527353730057370.027307275214931
0.41.532530904166060.0288008297082033
0.411.537956954603730.030163341010685
0.421.543608219644960.0313811979465561
0.431.549457229601120.0324379081210997
0.441.555474088845720.0333284097485173
0.451.561627294008250.0340452887043758
0.461.567884217648250.034577322588924
0.471.574211513303310.0349114141238583
0.481.580575641962180.0350478509273775
0.491.586943604809690.0349877301073514
0.51.593283833878870.0347403347178789
0.511.59956708815670.0343223865351744
0.521.605767164962510.033758865452146
0.531.611861279086160.0330740262050245
0.541.617830070170620.0322920738012223
0.551.623657332202140.0314289194645756
0.561.629329666364940.0304970716875447
0.571.634836295554320.029507544334357
0.581.640169225055720.0284655612184107
0.591.645323801818780.0273889422984866
0.61.650299557301740.0262991199541871
0.611.655101075207230.0252277930056259
0.621.659738559859160.0242122819897907
0.631.664227822221340.0232903327190949
0.641.668589539583030.0224950734936844
0.651.672847836450690.0218433229935995
0.661.677028412429290.021339715887456
0.671.681156546413540.0209677696566883
0.681.685255302535190.0207060975640281
0.691.689344161872490.0205253343970344
0.71.693438153736430.0204003737131983
0.711.697547428308510.0203018689937877
0.721.701677153233620.0202097978414466
0.731.705827646594930.0200991326395531
0.741.709994745513630.019947716007675
0.751.714170487023580.0197368927050938
0.761.718344177635280.0194496804169774
0.771.722503817060820.0190802666398494
0.781.726637645489710.0186350272639137
0.791.730735384354560.0181272701834918
0.81.734788647584250.0175792713638495
0.811.738790110870320.0170054358029228
0.821.742731388036490.0164090548438686
0.831.746600154204950.0157750718566299
0.841.750377780019310.0150705700261842
0.851.754039436478290.0142587147803357
0.861.757559067786270.0133134814226307
0.871.760921507906030.0122506451722097
0.881.764142925378020.0111538627410727
0.891.767298152508660.0102132565654502
0.91.770548610506340.00974896939430724
0.911.77415719108820.0101756002141909
0.921.778468214767920.0117872808111297
0.931.783827629835130.0144527918288936
0.941.790433301056580.0174700663055033
0.951.798150328483710.0196103350193184
0.961.806393943545940.0194555630685787
0.971.814214617296580.0162189100353406
0.981.820620675268490.0107459273409536
0.991.824945175424680.00575749981190755

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.19261103099366 & 0.0377008083679712 \tabularnewline
0.02 & 1.21419607438373 & 0.0401332035564582 \tabularnewline
0.03 & 1.23722736554129 & 0.0392482579370608 \tabularnewline
0.04 & 1.25796788161646 & 0.035821335784464 \tabularnewline
0.05 & 1.27555762400584 & 0.0329846712446154 \tabularnewline
0.06 & 1.29063974581721 & 0.0326225078320854 \tabularnewline
0.07 & 1.30425583449605 & 0.0345117143685914 \tabularnewline
0.08 & 1.31725425388946 & 0.0373600367088562 \tabularnewline
0.09 & 1.3300831000898 & 0.0398903778035081 \tabularnewline
0.1 & 1.34281587130146 & 0.0412817624474934 \tabularnewline
0.11 & 1.35528487693331 & 0.0412385678916846 \tabularnewline
0.12 & 1.36723382255642 & 0.0399068563016861 \tabularnewline
0.13 & 1.37843834175146 & 0.0377274006227886 \tabularnewline
0.14 & 1.38877413854075 & 0.0352450715550811 \tabularnewline
0.15 & 1.39823410140717 & 0.0329525616192146 \tabularnewline
0.16 & 1.40690812121445 & 0.0311949378239271 \tabularnewline
0.17 & 1.41494346125276 & 0.0301036898984519 \tabularnewline
0.18 & 1.42250164558722 & 0.0296220302556699 \tabularnewline
0.19 & 1.42972287612465 & 0.0295486403076251 \tabularnewline
0.2 & 1.43670352151903 & 0.0296241006683198 \tabularnewline
0.21 & 1.44348776554103 & 0.0295893771060153 \tabularnewline
0.22 & 1.45007154292972 & 0.029255089947738 \tabularnewline
0.23 & 1.45641528205223 & 0.0285028642670901 \tabularnewline
0.24 & 1.46246137571193 & 0.02731472916243 \tabularnewline
0.25 & 1.46815242395109 & 0.0257530389793236 \tabularnewline
0.26 & 1.47344694180555 & 0.0239569970920686 \tabularnewline
0.27 & 1.47833024512822 & 0.0221022521335734 \tabularnewline
0.28 & 1.4828194399243 & 0.0203824923988495 \tabularnewline
0.29 & 1.48696263173788 & 0.0189786639022129 \tabularnewline
0.3 & 1.49083343312832 & 0.0180337233702257 \tabularnewline
0.31 & 1.49452243345953 & 0.0176311521313465 \tabularnewline
0.32 & 1.4981274619422 & 0.0177829957166503 \tabularnewline
0.33 & 1.50174428000407 & 0.0184359859299992 \tabularnewline
0.34 & 1.5054589082109 & 0.0195025567565025 \tabularnewline
0.35 & 1.50934226992808 & 0.0208677055173138 \tabularnewline
0.36 & 1.51344733834355 & 0.0224209573234575 \tabularnewline
0.37 & 1.51780857936756 & 0.0240642650824873 \tabularnewline
0.38 & 1.52244321920222 & 0.025714794343776 \tabularnewline
0.39 & 1.52735373005737 & 0.027307275214931 \tabularnewline
0.4 & 1.53253090416606 & 0.0288008297082033 \tabularnewline
0.41 & 1.53795695460373 & 0.030163341010685 \tabularnewline
0.42 & 1.54360821964496 & 0.0313811979465561 \tabularnewline
0.43 & 1.54945722960112 & 0.0324379081210997 \tabularnewline
0.44 & 1.55547408884572 & 0.0333284097485173 \tabularnewline
0.45 & 1.56162729400825 & 0.0340452887043758 \tabularnewline
0.46 & 1.56788421764825 & 0.034577322588924 \tabularnewline
0.47 & 1.57421151330331 & 0.0349114141238583 \tabularnewline
0.48 & 1.58057564196218 & 0.0350478509273775 \tabularnewline
0.49 & 1.58694360480969 & 0.0349877301073514 \tabularnewline
0.5 & 1.59328383387887 & 0.0347403347178789 \tabularnewline
0.51 & 1.5995670881567 & 0.0343223865351744 \tabularnewline
0.52 & 1.60576716496251 & 0.033758865452146 \tabularnewline
0.53 & 1.61186127908616 & 0.0330740262050245 \tabularnewline
0.54 & 1.61783007017062 & 0.0322920738012223 \tabularnewline
0.55 & 1.62365733220214 & 0.0314289194645756 \tabularnewline
0.56 & 1.62932966636494 & 0.0304970716875447 \tabularnewline
0.57 & 1.63483629555432 & 0.029507544334357 \tabularnewline
0.58 & 1.64016922505572 & 0.0284655612184107 \tabularnewline
0.59 & 1.64532380181878 & 0.0273889422984866 \tabularnewline
0.6 & 1.65029955730174 & 0.0262991199541871 \tabularnewline
0.61 & 1.65510107520723 & 0.0252277930056259 \tabularnewline
0.62 & 1.65973855985916 & 0.0242122819897907 \tabularnewline
0.63 & 1.66422782222134 & 0.0232903327190949 \tabularnewline
0.64 & 1.66858953958303 & 0.0224950734936844 \tabularnewline
0.65 & 1.67284783645069 & 0.0218433229935995 \tabularnewline
0.66 & 1.67702841242929 & 0.021339715887456 \tabularnewline
0.67 & 1.68115654641354 & 0.0209677696566883 \tabularnewline
0.68 & 1.68525530253519 & 0.0207060975640281 \tabularnewline
0.69 & 1.68934416187249 & 0.0205253343970344 \tabularnewline
0.7 & 1.69343815373643 & 0.0204003737131983 \tabularnewline
0.71 & 1.69754742830851 & 0.0203018689937877 \tabularnewline
0.72 & 1.70167715323362 & 0.0202097978414466 \tabularnewline
0.73 & 1.70582764659493 & 0.0200991326395531 \tabularnewline
0.74 & 1.70999474551363 & 0.019947716007675 \tabularnewline
0.75 & 1.71417048702358 & 0.0197368927050938 \tabularnewline
0.76 & 1.71834417763528 & 0.0194496804169774 \tabularnewline
0.77 & 1.72250381706082 & 0.0190802666398494 \tabularnewline
0.78 & 1.72663764548971 & 0.0186350272639137 \tabularnewline
0.79 & 1.73073538435456 & 0.0181272701834918 \tabularnewline
0.8 & 1.73478864758425 & 0.0175792713638495 \tabularnewline
0.81 & 1.73879011087032 & 0.0170054358029228 \tabularnewline
0.82 & 1.74273138803649 & 0.0164090548438686 \tabularnewline
0.83 & 1.74660015420495 & 0.0157750718566299 \tabularnewline
0.84 & 1.75037778001931 & 0.0150705700261842 \tabularnewline
0.85 & 1.75403943647829 & 0.0142587147803357 \tabularnewline
0.86 & 1.75755906778627 & 0.0133134814226307 \tabularnewline
0.87 & 1.76092150790603 & 0.0122506451722097 \tabularnewline
0.88 & 1.76414292537802 & 0.0111538627410727 \tabularnewline
0.89 & 1.76729815250866 & 0.0102132565654502 \tabularnewline
0.9 & 1.77054861050634 & 0.00974896939430724 \tabularnewline
0.91 & 1.7741571910882 & 0.0101756002141909 \tabularnewline
0.92 & 1.77846821476792 & 0.0117872808111297 \tabularnewline
0.93 & 1.78382762983513 & 0.0144527918288936 \tabularnewline
0.94 & 1.79043330105658 & 0.0174700663055033 \tabularnewline
0.95 & 1.79815032848371 & 0.0196103350193184 \tabularnewline
0.96 & 1.80639394354594 & 0.0194555630685787 \tabularnewline
0.97 & 1.81421461729658 & 0.0162189100353406 \tabularnewline
0.98 & 1.82062067526849 & 0.0107459273409536 \tabularnewline
0.99 & 1.82494517542468 & 0.00575749981190755 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238695&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]1.19261103099366[/C][C]0.0377008083679712[/C][/ROW]
[ROW][C]0.02[/C][C]1.21419607438373[/C][C]0.0401332035564582[/C][/ROW]
[ROW][C]0.03[/C][C]1.23722736554129[/C][C]0.0392482579370608[/C][/ROW]
[ROW][C]0.04[/C][C]1.25796788161646[/C][C]0.035821335784464[/C][/ROW]
[ROW][C]0.05[/C][C]1.27555762400584[/C][C]0.0329846712446154[/C][/ROW]
[ROW][C]0.06[/C][C]1.29063974581721[/C][C]0.0326225078320854[/C][/ROW]
[ROW][C]0.07[/C][C]1.30425583449605[/C][C]0.0345117143685914[/C][/ROW]
[ROW][C]0.08[/C][C]1.31725425388946[/C][C]0.0373600367088562[/C][/ROW]
[ROW][C]0.09[/C][C]1.3300831000898[/C][C]0.0398903778035081[/C][/ROW]
[ROW][C]0.1[/C][C]1.34281587130146[/C][C]0.0412817624474934[/C][/ROW]
[ROW][C]0.11[/C][C]1.35528487693331[/C][C]0.0412385678916846[/C][/ROW]
[ROW][C]0.12[/C][C]1.36723382255642[/C][C]0.0399068563016861[/C][/ROW]
[ROW][C]0.13[/C][C]1.37843834175146[/C][C]0.0377274006227886[/C][/ROW]
[ROW][C]0.14[/C][C]1.38877413854075[/C][C]0.0352450715550811[/C][/ROW]
[ROW][C]0.15[/C][C]1.39823410140717[/C][C]0.0329525616192146[/C][/ROW]
[ROW][C]0.16[/C][C]1.40690812121445[/C][C]0.0311949378239271[/C][/ROW]
[ROW][C]0.17[/C][C]1.41494346125276[/C][C]0.0301036898984519[/C][/ROW]
[ROW][C]0.18[/C][C]1.42250164558722[/C][C]0.0296220302556699[/C][/ROW]
[ROW][C]0.19[/C][C]1.42972287612465[/C][C]0.0295486403076251[/C][/ROW]
[ROW][C]0.2[/C][C]1.43670352151903[/C][C]0.0296241006683198[/C][/ROW]
[ROW][C]0.21[/C][C]1.44348776554103[/C][C]0.0295893771060153[/C][/ROW]
[ROW][C]0.22[/C][C]1.45007154292972[/C][C]0.029255089947738[/C][/ROW]
[ROW][C]0.23[/C][C]1.45641528205223[/C][C]0.0285028642670901[/C][/ROW]
[ROW][C]0.24[/C][C]1.46246137571193[/C][C]0.02731472916243[/C][/ROW]
[ROW][C]0.25[/C][C]1.46815242395109[/C][C]0.0257530389793236[/C][/ROW]
[ROW][C]0.26[/C][C]1.47344694180555[/C][C]0.0239569970920686[/C][/ROW]
[ROW][C]0.27[/C][C]1.47833024512822[/C][C]0.0221022521335734[/C][/ROW]
[ROW][C]0.28[/C][C]1.4828194399243[/C][C]0.0203824923988495[/C][/ROW]
[ROW][C]0.29[/C][C]1.48696263173788[/C][C]0.0189786639022129[/C][/ROW]
[ROW][C]0.3[/C][C]1.49083343312832[/C][C]0.0180337233702257[/C][/ROW]
[ROW][C]0.31[/C][C]1.49452243345953[/C][C]0.0176311521313465[/C][/ROW]
[ROW][C]0.32[/C][C]1.4981274619422[/C][C]0.0177829957166503[/C][/ROW]
[ROW][C]0.33[/C][C]1.50174428000407[/C][C]0.0184359859299992[/C][/ROW]
[ROW][C]0.34[/C][C]1.5054589082109[/C][C]0.0195025567565025[/C][/ROW]
[ROW][C]0.35[/C][C]1.50934226992808[/C][C]0.0208677055173138[/C][/ROW]
[ROW][C]0.36[/C][C]1.51344733834355[/C][C]0.0224209573234575[/C][/ROW]
[ROW][C]0.37[/C][C]1.51780857936756[/C][C]0.0240642650824873[/C][/ROW]
[ROW][C]0.38[/C][C]1.52244321920222[/C][C]0.025714794343776[/C][/ROW]
[ROW][C]0.39[/C][C]1.52735373005737[/C][C]0.027307275214931[/C][/ROW]
[ROW][C]0.4[/C][C]1.53253090416606[/C][C]0.0288008297082033[/C][/ROW]
[ROW][C]0.41[/C][C]1.53795695460373[/C][C]0.030163341010685[/C][/ROW]
[ROW][C]0.42[/C][C]1.54360821964496[/C][C]0.0313811979465561[/C][/ROW]
[ROW][C]0.43[/C][C]1.54945722960112[/C][C]0.0324379081210997[/C][/ROW]
[ROW][C]0.44[/C][C]1.55547408884572[/C][C]0.0333284097485173[/C][/ROW]
[ROW][C]0.45[/C][C]1.56162729400825[/C][C]0.0340452887043758[/C][/ROW]
[ROW][C]0.46[/C][C]1.56788421764825[/C][C]0.034577322588924[/C][/ROW]
[ROW][C]0.47[/C][C]1.57421151330331[/C][C]0.0349114141238583[/C][/ROW]
[ROW][C]0.48[/C][C]1.58057564196218[/C][C]0.0350478509273775[/C][/ROW]
[ROW][C]0.49[/C][C]1.58694360480969[/C][C]0.0349877301073514[/C][/ROW]
[ROW][C]0.5[/C][C]1.59328383387887[/C][C]0.0347403347178789[/C][/ROW]
[ROW][C]0.51[/C][C]1.5995670881567[/C][C]0.0343223865351744[/C][/ROW]
[ROW][C]0.52[/C][C]1.60576716496251[/C][C]0.033758865452146[/C][/ROW]
[ROW][C]0.53[/C][C]1.61186127908616[/C][C]0.0330740262050245[/C][/ROW]
[ROW][C]0.54[/C][C]1.61783007017062[/C][C]0.0322920738012223[/C][/ROW]
[ROW][C]0.55[/C][C]1.62365733220214[/C][C]0.0314289194645756[/C][/ROW]
[ROW][C]0.56[/C][C]1.62932966636494[/C][C]0.0304970716875447[/C][/ROW]
[ROW][C]0.57[/C][C]1.63483629555432[/C][C]0.029507544334357[/C][/ROW]
[ROW][C]0.58[/C][C]1.64016922505572[/C][C]0.0284655612184107[/C][/ROW]
[ROW][C]0.59[/C][C]1.64532380181878[/C][C]0.0273889422984866[/C][/ROW]
[ROW][C]0.6[/C][C]1.65029955730174[/C][C]0.0262991199541871[/C][/ROW]
[ROW][C]0.61[/C][C]1.65510107520723[/C][C]0.0252277930056259[/C][/ROW]
[ROW][C]0.62[/C][C]1.65973855985916[/C][C]0.0242122819897907[/C][/ROW]
[ROW][C]0.63[/C][C]1.66422782222134[/C][C]0.0232903327190949[/C][/ROW]
[ROW][C]0.64[/C][C]1.66858953958303[/C][C]0.0224950734936844[/C][/ROW]
[ROW][C]0.65[/C][C]1.67284783645069[/C][C]0.0218433229935995[/C][/ROW]
[ROW][C]0.66[/C][C]1.67702841242929[/C][C]0.021339715887456[/C][/ROW]
[ROW][C]0.67[/C][C]1.68115654641354[/C][C]0.0209677696566883[/C][/ROW]
[ROW][C]0.68[/C][C]1.68525530253519[/C][C]0.0207060975640281[/C][/ROW]
[ROW][C]0.69[/C][C]1.68934416187249[/C][C]0.0205253343970344[/C][/ROW]
[ROW][C]0.7[/C][C]1.69343815373643[/C][C]0.0204003737131983[/C][/ROW]
[ROW][C]0.71[/C][C]1.69754742830851[/C][C]0.0203018689937877[/C][/ROW]
[ROW][C]0.72[/C][C]1.70167715323362[/C][C]0.0202097978414466[/C][/ROW]
[ROW][C]0.73[/C][C]1.70582764659493[/C][C]0.0200991326395531[/C][/ROW]
[ROW][C]0.74[/C][C]1.70999474551363[/C][C]0.019947716007675[/C][/ROW]
[ROW][C]0.75[/C][C]1.71417048702358[/C][C]0.0197368927050938[/C][/ROW]
[ROW][C]0.76[/C][C]1.71834417763528[/C][C]0.0194496804169774[/C][/ROW]
[ROW][C]0.77[/C][C]1.72250381706082[/C][C]0.0190802666398494[/C][/ROW]
[ROW][C]0.78[/C][C]1.72663764548971[/C][C]0.0186350272639137[/C][/ROW]
[ROW][C]0.79[/C][C]1.73073538435456[/C][C]0.0181272701834918[/C][/ROW]
[ROW][C]0.8[/C][C]1.73478864758425[/C][C]0.0175792713638495[/C][/ROW]
[ROW][C]0.81[/C][C]1.73879011087032[/C][C]0.0170054358029228[/C][/ROW]
[ROW][C]0.82[/C][C]1.74273138803649[/C][C]0.0164090548438686[/C][/ROW]
[ROW][C]0.83[/C][C]1.74660015420495[/C][C]0.0157750718566299[/C][/ROW]
[ROW][C]0.84[/C][C]1.75037778001931[/C][C]0.0150705700261842[/C][/ROW]
[ROW][C]0.85[/C][C]1.75403943647829[/C][C]0.0142587147803357[/C][/ROW]
[ROW][C]0.86[/C][C]1.75755906778627[/C][C]0.0133134814226307[/C][/ROW]
[ROW][C]0.87[/C][C]1.76092150790603[/C][C]0.0122506451722097[/C][/ROW]
[ROW][C]0.88[/C][C]1.76414292537802[/C][C]0.0111538627410727[/C][/ROW]
[ROW][C]0.89[/C][C]1.76729815250866[/C][C]0.0102132565654502[/C][/ROW]
[ROW][C]0.9[/C][C]1.77054861050634[/C][C]0.00974896939430724[/C][/ROW]
[ROW][C]0.91[/C][C]1.7741571910882[/C][C]0.0101756002141909[/C][/ROW]
[ROW][C]0.92[/C][C]1.77846821476792[/C][C]0.0117872808111297[/C][/ROW]
[ROW][C]0.93[/C][C]1.78382762983513[/C][C]0.0144527918288936[/C][/ROW]
[ROW][C]0.94[/C][C]1.79043330105658[/C][C]0.0174700663055033[/C][/ROW]
[ROW][C]0.95[/C][C]1.79815032848371[/C][C]0.0196103350193184[/C][/ROW]
[ROW][C]0.96[/C][C]1.80639394354594[/C][C]0.0194555630685787[/C][/ROW]
[ROW][C]0.97[/C][C]1.81421461729658[/C][C]0.0162189100353406[/C][/ROW]
[ROW][C]0.98[/C][C]1.82062067526849[/C][C]0.0107459273409536[/C][/ROW]
[ROW][C]0.99[/C][C]1.82494517542468[/C][C]0.00575749981190755[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238695&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238695&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
0.011.192611030993660.0377008083679712
0.021.214196074383730.0401332035564582
0.031.237227365541290.0392482579370608
0.041.257967881616460.035821335784464
0.051.275557624005840.0329846712446154
0.061.290639745817210.0326225078320854
0.071.304255834496050.0345117143685914
0.081.317254253889460.0373600367088562
0.091.33008310008980.0398903778035081
0.11.342815871301460.0412817624474934
0.111.355284876933310.0412385678916846
0.121.367233822556420.0399068563016861
0.131.378438341751460.0377274006227886
0.141.388774138540750.0352450715550811
0.151.398234101407170.0329525616192146
0.161.406908121214450.0311949378239271
0.171.414943461252760.0301036898984519
0.181.422501645587220.0296220302556699
0.191.429722876124650.0295486403076251
0.21.436703521519030.0296241006683198
0.211.443487765541030.0295893771060153
0.221.450071542929720.029255089947738
0.231.456415282052230.0285028642670901
0.241.462461375711930.02731472916243
0.251.468152423951090.0257530389793236
0.261.473446941805550.0239569970920686
0.271.478330245128220.0221022521335734
0.281.48281943992430.0203824923988495
0.291.486962631737880.0189786639022129
0.31.490833433128320.0180337233702257
0.311.494522433459530.0176311521313465
0.321.49812746194220.0177829957166503
0.331.501744280004070.0184359859299992
0.341.50545890821090.0195025567565025
0.351.509342269928080.0208677055173138
0.361.513447338343550.0224209573234575
0.371.517808579367560.0240642650824873
0.381.522443219202220.025714794343776
0.391.527353730057370.027307275214931
0.41.532530904166060.0288008297082033
0.411.537956954603730.030163341010685
0.421.543608219644960.0313811979465561
0.431.549457229601120.0324379081210997
0.441.555474088845720.0333284097485173
0.451.561627294008250.0340452887043758
0.461.567884217648250.034577322588924
0.471.574211513303310.0349114141238583
0.481.580575641962180.0350478509273775
0.491.586943604809690.0349877301073514
0.51.593283833878870.0347403347178789
0.511.59956708815670.0343223865351744
0.521.605767164962510.033758865452146
0.531.611861279086160.0330740262050245
0.541.617830070170620.0322920738012223
0.551.623657332202140.0314289194645756
0.561.629329666364940.0304970716875447
0.571.634836295554320.029507544334357
0.581.640169225055720.0284655612184107
0.591.645323801818780.0273889422984866
0.61.650299557301740.0262991199541871
0.611.655101075207230.0252277930056259
0.621.659738559859160.0242122819897907
0.631.664227822221340.0232903327190949
0.641.668589539583030.0224950734936844
0.651.672847836450690.0218433229935995
0.661.677028412429290.021339715887456
0.671.681156546413540.0209677696566883
0.681.685255302535190.0207060975640281
0.691.689344161872490.0205253343970344
0.71.693438153736430.0204003737131983
0.711.697547428308510.0203018689937877
0.721.701677153233620.0202097978414466
0.731.705827646594930.0200991326395531
0.741.709994745513630.019947716007675
0.751.714170487023580.0197368927050938
0.761.718344177635280.0194496804169774
0.771.722503817060820.0190802666398494
0.781.726637645489710.0186350272639137
0.791.730735384354560.0181272701834918
0.81.734788647584250.0175792713638495
0.811.738790110870320.0170054358029228
0.821.742731388036490.0164090548438686
0.831.746600154204950.0157750718566299
0.841.750377780019310.0150705700261842
0.851.754039436478290.0142587147803357
0.861.757559067786270.0133134814226307
0.871.760921507906030.0122506451722097
0.881.764142925378020.0111538627410727
0.891.767298152508660.0102132565654502
0.91.770548610506340.00974896939430724
0.911.77415719108820.0101756002141909
0.921.778468214767920.0117872808111297
0.931.783827629835130.0144527918288936
0.941.790433301056580.0174700663055033
0.951.798150328483710.0196103350193184
0.961.806393943545940.0194555630685787
0.971.814214617296580.0162189100353406
0.981.820620675268490.0107459273409536
0.991.824945175424680.00575749981190755


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')