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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 21 Feb 2012 05:39:12 -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/21/t13298209027uijz9atavl8sd8.htm/, Retrieved Fri, 03 May 2024 23:47:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162902, Retrieved Fri, 03 May 2024 23:47:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact135
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2012-02-21 10:39:12] [26fc2906931796130cbcdf91b421d42d] [Current]
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Dataseries X:
1.44
1.45
1.45
1.47
1.49
1.5
1.5
1.5
1.5
1.5
1.5
1.51
1.52
1.51
1.51
1.51
1.52
1.52
1.52
1.52
1.52
1.53
1.53
1.53
1.53
1.54
1.54
1.55
1.56
1.55
1.56
1.56
1.56
1.56
1.57
1.56
1.57
1.58
1.58
1.58
1.6
1.61
1.61
1.61
1.6
1.59
1.56
1.57
1.55
1.59
1.62
1.63
1.62
1.56
1.56
1.54
1.54
1.52
1.56
1.59




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162902&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162902&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162902&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.442480031812710.00904619688865654
0.021.446555216748010.0095509368748716
0.031.451662447849310.0121792582869656
0.041.457483988050520.015533890970033
0.051.463796424103460.0180387297763554
0.061.470294943183180.0189170055817072
0.071.476592448689410.0181384611385487
0.081.482323806348370.016133582686177
0.091.487242384095690.0134982965311741
0.11.49125694443780.0107832021052921
0.111.49441349702020.00838962760591344
0.121.496848745013680.00655451573530811
0.131.498739637329870.00537617444731706
0.141.50026315060490.00482716663724325
0.151.501570940427150.00476598933362105
0.161.502777721272040.0049984493927418
0.171.503959784742930.0053582051601111
0.181.505159706253850.00573086481811092
0.191.506393936879730.00605050927481611
0.21.507660945062860.00628058132006759
0.211.508948510243830.00640792247676151
0.221.510239527929530.00643458506417732
0.231.511516216948440.00637082408865697
0.241.512762928443420.00623260540625016
0.251.513967875331910.00604082311300188
0.261.515124083668440.00581981320413052
0.271.516229777567310.00559718852378347
0.281.517288308335450.00540335367606904
0.291.518307670798070.00526841598002187
0.31.519299634725920.00521563538768093
0.311.520278550719680.00526163771668585
0.321.521259944411230.00540735339890876
0.331.522259061565920.00564385593130529
0.341.523289546693950.00595148107492485
0.351.524362419012250.00630577026898921
0.361.525485455979350.00668266914253021
0.371.526663020503490.00706227608747265
0.381.527896291920710.00742511248600285
0.391.529183799726450.00776323147099851
0.41.530522123526320.00806758971815316
0.411.531906615880760.00833713656279706
0.421.533332023157760.00857327019084329
0.431.534792915507270.00877761709347272
0.441.536283881603820.00895270982980447
0.451.537799488734610.00909840305369837
0.461.539334048100210.0092141194793655
0.471.540881255088750.00929420375963138
0.481.542433792841460.00932999157868689
0.491.54398299387630.00931183607631842
0.51.545518648850560.00922711545940345
0.511.547029034373480.0090671235610757
0.521.548501204682130.00882137264371978
0.531.549921557691870.0084874598309572
0.541.551276648363270.00806573400419585
0.551.5525541863050.00756452112060652
0.561.553744125036290.00699994235088747
0.571.55483973160120.00639162938066621
0.581.555838519914730.00576710459036623
0.591.556742939904420.00515725269502545
0.61.557560735677490.00459482895186094
0.611.558304916484820.00411509188260654
0.621.558993320257850.00375247130936337
0.631.559647787084320.00353848079256364
0.641.560292995890550.00349552735881721
0.651.560955049298390.00362825674735307
0.661.561659917124180.00392414351816939
0.671.562431866370520.00435611576303628
0.681.563292012711920.00488880374458199
0.691.564257123227540.00548812094013058
0.71.565338780949380.00611735210857923
0.711.566542988791580.00674348946578066
0.721.567870246323770.00733625167893722
0.731.569316083253170.00786984575824144
0.741.570871986101860.00832730108870857
0.751.57252661726850.00869590915619094
0.761.574267203756790.00897389099955744
0.771.57608096657570.00916542697074533
0.781.577956465313940.00927943166455315
0.791.579884735408270.00933318168244562
0.81.581860088519160.00934472683325849
0.811.583880427837840.00933385493236225
0.821.585946914883840.00931978856908822
0.831.588062847196190.00931455110175857
0.841.590231716111580.00932171619223279
0.851.592454652212850.00933129659810685
0.861.594727828689890.00931443857242003
0.871.597040780556950.00923306428018525
0.881.599376784535020.00904389240414459
0.891.601716118793270.00872092805009229
0.91.604041972135450.00826899477315053
0.911.606347242226290.00773756822500484
0.921.608639501770410.00721289883132535
0.931.610942664254820.00677751385139842
0.941.613297907574920.00644277591044467
0.951.61576923102750.00613988554745689
0.961.618449757382090.00585258134205043
0.971.62143394960660.00586271523020999
0.981.624690228033810.00669396284904369
0.991.627827664091480.00832627302133688

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.44248003181271 & 0.00904619688865654 \tabularnewline
0.02 & 1.44655521674801 & 0.0095509368748716 \tabularnewline
0.03 & 1.45166244784931 & 0.0121792582869656 \tabularnewline
0.04 & 1.45748398805052 & 0.015533890970033 \tabularnewline
0.05 & 1.46379642410346 & 0.0180387297763554 \tabularnewline
0.06 & 1.47029494318318 & 0.0189170055817072 \tabularnewline
0.07 & 1.47659244868941 & 0.0181384611385487 \tabularnewline
0.08 & 1.48232380634837 & 0.016133582686177 \tabularnewline
0.09 & 1.48724238409569 & 0.0134982965311741 \tabularnewline
0.1 & 1.4912569444378 & 0.0107832021052921 \tabularnewline
0.11 & 1.4944134970202 & 0.00838962760591344 \tabularnewline
0.12 & 1.49684874501368 & 0.00655451573530811 \tabularnewline
0.13 & 1.49873963732987 & 0.00537617444731706 \tabularnewline
0.14 & 1.5002631506049 & 0.00482716663724325 \tabularnewline
0.15 & 1.50157094042715 & 0.00476598933362105 \tabularnewline
0.16 & 1.50277772127204 & 0.0049984493927418 \tabularnewline
0.17 & 1.50395978474293 & 0.0053582051601111 \tabularnewline
0.18 & 1.50515970625385 & 0.00573086481811092 \tabularnewline
0.19 & 1.50639393687973 & 0.00605050927481611 \tabularnewline
0.2 & 1.50766094506286 & 0.00628058132006759 \tabularnewline
0.21 & 1.50894851024383 & 0.00640792247676151 \tabularnewline
0.22 & 1.51023952792953 & 0.00643458506417732 \tabularnewline
0.23 & 1.51151621694844 & 0.00637082408865697 \tabularnewline
0.24 & 1.51276292844342 & 0.00623260540625016 \tabularnewline
0.25 & 1.51396787533191 & 0.00604082311300188 \tabularnewline
0.26 & 1.51512408366844 & 0.00581981320413052 \tabularnewline
0.27 & 1.51622977756731 & 0.00559718852378347 \tabularnewline
0.28 & 1.51728830833545 & 0.00540335367606904 \tabularnewline
0.29 & 1.51830767079807 & 0.00526841598002187 \tabularnewline
0.3 & 1.51929963472592 & 0.00521563538768093 \tabularnewline
0.31 & 1.52027855071968 & 0.00526163771668585 \tabularnewline
0.32 & 1.52125994441123 & 0.00540735339890876 \tabularnewline
0.33 & 1.52225906156592 & 0.00564385593130529 \tabularnewline
0.34 & 1.52328954669395 & 0.00595148107492485 \tabularnewline
0.35 & 1.52436241901225 & 0.00630577026898921 \tabularnewline
0.36 & 1.52548545597935 & 0.00668266914253021 \tabularnewline
0.37 & 1.52666302050349 & 0.00706227608747265 \tabularnewline
0.38 & 1.52789629192071 & 0.00742511248600285 \tabularnewline
0.39 & 1.52918379972645 & 0.00776323147099851 \tabularnewline
0.4 & 1.53052212352632 & 0.00806758971815316 \tabularnewline
0.41 & 1.53190661588076 & 0.00833713656279706 \tabularnewline
0.42 & 1.53333202315776 & 0.00857327019084329 \tabularnewline
0.43 & 1.53479291550727 & 0.00877761709347272 \tabularnewline
0.44 & 1.53628388160382 & 0.00895270982980447 \tabularnewline
0.45 & 1.53779948873461 & 0.00909840305369837 \tabularnewline
0.46 & 1.53933404810021 & 0.0092141194793655 \tabularnewline
0.47 & 1.54088125508875 & 0.00929420375963138 \tabularnewline
0.48 & 1.54243379284146 & 0.00932999157868689 \tabularnewline
0.49 & 1.5439829938763 & 0.00931183607631842 \tabularnewline
0.5 & 1.54551864885056 & 0.00922711545940345 \tabularnewline
0.51 & 1.54702903437348 & 0.0090671235610757 \tabularnewline
0.52 & 1.54850120468213 & 0.00882137264371978 \tabularnewline
0.53 & 1.54992155769187 & 0.0084874598309572 \tabularnewline
0.54 & 1.55127664836327 & 0.00806573400419585 \tabularnewline
0.55 & 1.552554186305 & 0.00756452112060652 \tabularnewline
0.56 & 1.55374412503629 & 0.00699994235088747 \tabularnewline
0.57 & 1.5548397316012 & 0.00639162938066621 \tabularnewline
0.58 & 1.55583851991473 & 0.00576710459036623 \tabularnewline
0.59 & 1.55674293990442 & 0.00515725269502545 \tabularnewline
0.6 & 1.55756073567749 & 0.00459482895186094 \tabularnewline
0.61 & 1.55830491648482 & 0.00411509188260654 \tabularnewline
0.62 & 1.55899332025785 & 0.00375247130936337 \tabularnewline
0.63 & 1.55964778708432 & 0.00353848079256364 \tabularnewline
0.64 & 1.56029299589055 & 0.00349552735881721 \tabularnewline
0.65 & 1.56095504929839 & 0.00362825674735307 \tabularnewline
0.66 & 1.56165991712418 & 0.00392414351816939 \tabularnewline
0.67 & 1.56243186637052 & 0.00435611576303628 \tabularnewline
0.68 & 1.56329201271192 & 0.00488880374458199 \tabularnewline
0.69 & 1.56425712322754 & 0.00548812094013058 \tabularnewline
0.7 & 1.56533878094938 & 0.00611735210857923 \tabularnewline
0.71 & 1.56654298879158 & 0.00674348946578066 \tabularnewline
0.72 & 1.56787024632377 & 0.00733625167893722 \tabularnewline
0.73 & 1.56931608325317 & 0.00786984575824144 \tabularnewline
0.74 & 1.57087198610186 & 0.00832730108870857 \tabularnewline
0.75 & 1.5725266172685 & 0.00869590915619094 \tabularnewline
0.76 & 1.57426720375679 & 0.00897389099955744 \tabularnewline
0.77 & 1.5760809665757 & 0.00916542697074533 \tabularnewline
0.78 & 1.57795646531394 & 0.00927943166455315 \tabularnewline
0.79 & 1.57988473540827 & 0.00933318168244562 \tabularnewline
0.8 & 1.58186008851916 & 0.00934472683325849 \tabularnewline
0.81 & 1.58388042783784 & 0.00933385493236225 \tabularnewline
0.82 & 1.58594691488384 & 0.00931978856908822 \tabularnewline
0.83 & 1.58806284719619 & 0.00931455110175857 \tabularnewline
0.84 & 1.59023171611158 & 0.00932171619223279 \tabularnewline
0.85 & 1.59245465221285 & 0.00933129659810685 \tabularnewline
0.86 & 1.59472782868989 & 0.00931443857242003 \tabularnewline
0.87 & 1.59704078055695 & 0.00923306428018525 \tabularnewline
0.88 & 1.59937678453502 & 0.00904389240414459 \tabularnewline
0.89 & 1.60171611879327 & 0.00872092805009229 \tabularnewline
0.9 & 1.60404197213545 & 0.00826899477315053 \tabularnewline
0.91 & 1.60634724222629 & 0.00773756822500484 \tabularnewline
0.92 & 1.60863950177041 & 0.00721289883132535 \tabularnewline
0.93 & 1.61094266425482 & 0.00677751385139842 \tabularnewline
0.94 & 1.61329790757492 & 0.00644277591044467 \tabularnewline
0.95 & 1.6157692310275 & 0.00613988554745689 \tabularnewline
0.96 & 1.61844975738209 & 0.00585258134205043 \tabularnewline
0.97 & 1.6214339496066 & 0.00586271523020999 \tabularnewline
0.98 & 1.62469022803381 & 0.00669396284904369 \tabularnewline
0.99 & 1.62782766409148 & 0.00832627302133688 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162902&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]1.44248003181271[/C][C]0.00904619688865654[/C][/ROW]
[ROW][C]0.02[/C][C]1.44655521674801[/C][C]0.0095509368748716[/C][/ROW]
[ROW][C]0.03[/C][C]1.45166244784931[/C][C]0.0121792582869656[/C][/ROW]
[ROW][C]0.04[/C][C]1.45748398805052[/C][C]0.015533890970033[/C][/ROW]
[ROW][C]0.05[/C][C]1.46379642410346[/C][C]0.0180387297763554[/C][/ROW]
[ROW][C]0.06[/C][C]1.47029494318318[/C][C]0.0189170055817072[/C][/ROW]
[ROW][C]0.07[/C][C]1.47659244868941[/C][C]0.0181384611385487[/C][/ROW]
[ROW][C]0.08[/C][C]1.48232380634837[/C][C]0.016133582686177[/C][/ROW]
[ROW][C]0.09[/C][C]1.48724238409569[/C][C]0.0134982965311741[/C][/ROW]
[ROW][C]0.1[/C][C]1.4912569444378[/C][C]0.0107832021052921[/C][/ROW]
[ROW][C]0.11[/C][C]1.4944134970202[/C][C]0.00838962760591344[/C][/ROW]
[ROW][C]0.12[/C][C]1.49684874501368[/C][C]0.00655451573530811[/C][/ROW]
[ROW][C]0.13[/C][C]1.49873963732987[/C][C]0.00537617444731706[/C][/ROW]
[ROW][C]0.14[/C][C]1.5002631506049[/C][C]0.00482716663724325[/C][/ROW]
[ROW][C]0.15[/C][C]1.50157094042715[/C][C]0.00476598933362105[/C][/ROW]
[ROW][C]0.16[/C][C]1.50277772127204[/C][C]0.0049984493927418[/C][/ROW]
[ROW][C]0.17[/C][C]1.50395978474293[/C][C]0.0053582051601111[/C][/ROW]
[ROW][C]0.18[/C][C]1.50515970625385[/C][C]0.00573086481811092[/C][/ROW]
[ROW][C]0.19[/C][C]1.50639393687973[/C][C]0.00605050927481611[/C][/ROW]
[ROW][C]0.2[/C][C]1.50766094506286[/C][C]0.00628058132006759[/C][/ROW]
[ROW][C]0.21[/C][C]1.50894851024383[/C][C]0.00640792247676151[/C][/ROW]
[ROW][C]0.22[/C][C]1.51023952792953[/C][C]0.00643458506417732[/C][/ROW]
[ROW][C]0.23[/C][C]1.51151621694844[/C][C]0.00637082408865697[/C][/ROW]
[ROW][C]0.24[/C][C]1.51276292844342[/C][C]0.00623260540625016[/C][/ROW]
[ROW][C]0.25[/C][C]1.51396787533191[/C][C]0.00604082311300188[/C][/ROW]
[ROW][C]0.26[/C][C]1.51512408366844[/C][C]0.00581981320413052[/C][/ROW]
[ROW][C]0.27[/C][C]1.51622977756731[/C][C]0.00559718852378347[/C][/ROW]
[ROW][C]0.28[/C][C]1.51728830833545[/C][C]0.00540335367606904[/C][/ROW]
[ROW][C]0.29[/C][C]1.51830767079807[/C][C]0.00526841598002187[/C][/ROW]
[ROW][C]0.3[/C][C]1.51929963472592[/C][C]0.00521563538768093[/C][/ROW]
[ROW][C]0.31[/C][C]1.52027855071968[/C][C]0.00526163771668585[/C][/ROW]
[ROW][C]0.32[/C][C]1.52125994441123[/C][C]0.00540735339890876[/C][/ROW]
[ROW][C]0.33[/C][C]1.52225906156592[/C][C]0.00564385593130529[/C][/ROW]
[ROW][C]0.34[/C][C]1.52328954669395[/C][C]0.00595148107492485[/C][/ROW]
[ROW][C]0.35[/C][C]1.52436241901225[/C][C]0.00630577026898921[/C][/ROW]
[ROW][C]0.36[/C][C]1.52548545597935[/C][C]0.00668266914253021[/C][/ROW]
[ROW][C]0.37[/C][C]1.52666302050349[/C][C]0.00706227608747265[/C][/ROW]
[ROW][C]0.38[/C][C]1.52789629192071[/C][C]0.00742511248600285[/C][/ROW]
[ROW][C]0.39[/C][C]1.52918379972645[/C][C]0.00776323147099851[/C][/ROW]
[ROW][C]0.4[/C][C]1.53052212352632[/C][C]0.00806758971815316[/C][/ROW]
[ROW][C]0.41[/C][C]1.53190661588076[/C][C]0.00833713656279706[/C][/ROW]
[ROW][C]0.42[/C][C]1.53333202315776[/C][C]0.00857327019084329[/C][/ROW]
[ROW][C]0.43[/C][C]1.53479291550727[/C][C]0.00877761709347272[/C][/ROW]
[ROW][C]0.44[/C][C]1.53628388160382[/C][C]0.00895270982980447[/C][/ROW]
[ROW][C]0.45[/C][C]1.53779948873461[/C][C]0.00909840305369837[/C][/ROW]
[ROW][C]0.46[/C][C]1.53933404810021[/C][C]0.0092141194793655[/C][/ROW]
[ROW][C]0.47[/C][C]1.54088125508875[/C][C]0.00929420375963138[/C][/ROW]
[ROW][C]0.48[/C][C]1.54243379284146[/C][C]0.00932999157868689[/C][/ROW]
[ROW][C]0.49[/C][C]1.5439829938763[/C][C]0.00931183607631842[/C][/ROW]
[ROW][C]0.5[/C][C]1.54551864885056[/C][C]0.00922711545940345[/C][/ROW]
[ROW][C]0.51[/C][C]1.54702903437348[/C][C]0.0090671235610757[/C][/ROW]
[ROW][C]0.52[/C][C]1.54850120468213[/C][C]0.00882137264371978[/C][/ROW]
[ROW][C]0.53[/C][C]1.54992155769187[/C][C]0.0084874598309572[/C][/ROW]
[ROW][C]0.54[/C][C]1.55127664836327[/C][C]0.00806573400419585[/C][/ROW]
[ROW][C]0.55[/C][C]1.552554186305[/C][C]0.00756452112060652[/C][/ROW]
[ROW][C]0.56[/C][C]1.55374412503629[/C][C]0.00699994235088747[/C][/ROW]
[ROW][C]0.57[/C][C]1.5548397316012[/C][C]0.00639162938066621[/C][/ROW]
[ROW][C]0.58[/C][C]1.55583851991473[/C][C]0.00576710459036623[/C][/ROW]
[ROW][C]0.59[/C][C]1.55674293990442[/C][C]0.00515725269502545[/C][/ROW]
[ROW][C]0.6[/C][C]1.55756073567749[/C][C]0.00459482895186094[/C][/ROW]
[ROW][C]0.61[/C][C]1.55830491648482[/C][C]0.00411509188260654[/C][/ROW]
[ROW][C]0.62[/C][C]1.55899332025785[/C][C]0.00375247130936337[/C][/ROW]
[ROW][C]0.63[/C][C]1.55964778708432[/C][C]0.00353848079256364[/C][/ROW]
[ROW][C]0.64[/C][C]1.56029299589055[/C][C]0.00349552735881721[/C][/ROW]
[ROW][C]0.65[/C][C]1.56095504929839[/C][C]0.00362825674735307[/C][/ROW]
[ROW][C]0.66[/C][C]1.56165991712418[/C][C]0.00392414351816939[/C][/ROW]
[ROW][C]0.67[/C][C]1.56243186637052[/C][C]0.00435611576303628[/C][/ROW]
[ROW][C]0.68[/C][C]1.56329201271192[/C][C]0.00488880374458199[/C][/ROW]
[ROW][C]0.69[/C][C]1.56425712322754[/C][C]0.00548812094013058[/C][/ROW]
[ROW][C]0.7[/C][C]1.56533878094938[/C][C]0.00611735210857923[/C][/ROW]
[ROW][C]0.71[/C][C]1.56654298879158[/C][C]0.00674348946578066[/C][/ROW]
[ROW][C]0.72[/C][C]1.56787024632377[/C][C]0.00733625167893722[/C][/ROW]
[ROW][C]0.73[/C][C]1.56931608325317[/C][C]0.00786984575824144[/C][/ROW]
[ROW][C]0.74[/C][C]1.57087198610186[/C][C]0.00832730108870857[/C][/ROW]
[ROW][C]0.75[/C][C]1.5725266172685[/C][C]0.00869590915619094[/C][/ROW]
[ROW][C]0.76[/C][C]1.57426720375679[/C][C]0.00897389099955744[/C][/ROW]
[ROW][C]0.77[/C][C]1.5760809665757[/C][C]0.00916542697074533[/C][/ROW]
[ROW][C]0.78[/C][C]1.57795646531394[/C][C]0.00927943166455315[/C][/ROW]
[ROW][C]0.79[/C][C]1.57988473540827[/C][C]0.00933318168244562[/C][/ROW]
[ROW][C]0.8[/C][C]1.58186008851916[/C][C]0.00934472683325849[/C][/ROW]
[ROW][C]0.81[/C][C]1.58388042783784[/C][C]0.00933385493236225[/C][/ROW]
[ROW][C]0.82[/C][C]1.58594691488384[/C][C]0.00931978856908822[/C][/ROW]
[ROW][C]0.83[/C][C]1.58806284719619[/C][C]0.00931455110175857[/C][/ROW]
[ROW][C]0.84[/C][C]1.59023171611158[/C][C]0.00932171619223279[/C][/ROW]
[ROW][C]0.85[/C][C]1.59245465221285[/C][C]0.00933129659810685[/C][/ROW]
[ROW][C]0.86[/C][C]1.59472782868989[/C][C]0.00931443857242003[/C][/ROW]
[ROW][C]0.87[/C][C]1.59704078055695[/C][C]0.00923306428018525[/C][/ROW]
[ROW][C]0.88[/C][C]1.59937678453502[/C][C]0.00904389240414459[/C][/ROW]
[ROW][C]0.89[/C][C]1.60171611879327[/C][C]0.00872092805009229[/C][/ROW]
[ROW][C]0.9[/C][C]1.60404197213545[/C][C]0.00826899477315053[/C][/ROW]
[ROW][C]0.91[/C][C]1.60634724222629[/C][C]0.00773756822500484[/C][/ROW]
[ROW][C]0.92[/C][C]1.60863950177041[/C][C]0.00721289883132535[/C][/ROW]
[ROW][C]0.93[/C][C]1.61094266425482[/C][C]0.00677751385139842[/C][/ROW]
[ROW][C]0.94[/C][C]1.61329790757492[/C][C]0.00644277591044467[/C][/ROW]
[ROW][C]0.95[/C][C]1.6157692310275[/C][C]0.00613988554745689[/C][/ROW]
[ROW][C]0.96[/C][C]1.61844975738209[/C][C]0.00585258134205043[/C][/ROW]
[ROW][C]0.97[/C][C]1.6214339496066[/C][C]0.00586271523020999[/C][/ROW]
[ROW][C]0.98[/C][C]1.62469022803381[/C][C]0.00669396284904369[/C][/ROW]
[ROW][C]0.99[/C][C]1.62782766409148[/C][C]0.00832627302133688[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162902&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162902&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.442480031812710.00904619688865654
0.021.446555216748010.0095509368748716
0.031.451662447849310.0121792582869656
0.041.457483988050520.015533890970033
0.051.463796424103460.0180387297763554
0.061.470294943183180.0189170055817072
0.071.476592448689410.0181384611385487
0.081.482323806348370.016133582686177
0.091.487242384095690.0134982965311741
0.11.49125694443780.0107832021052921
0.111.49441349702020.00838962760591344
0.121.496848745013680.00655451573530811
0.131.498739637329870.00537617444731706
0.141.50026315060490.00482716663724325
0.151.501570940427150.00476598933362105
0.161.502777721272040.0049984493927418
0.171.503959784742930.0053582051601111
0.181.505159706253850.00573086481811092
0.191.506393936879730.00605050927481611
0.21.507660945062860.00628058132006759
0.211.508948510243830.00640792247676151
0.221.510239527929530.00643458506417732
0.231.511516216948440.00637082408865697
0.241.512762928443420.00623260540625016
0.251.513967875331910.00604082311300188
0.261.515124083668440.00581981320413052
0.271.516229777567310.00559718852378347
0.281.517288308335450.00540335367606904
0.291.518307670798070.00526841598002187
0.31.519299634725920.00521563538768093
0.311.520278550719680.00526163771668585
0.321.521259944411230.00540735339890876
0.331.522259061565920.00564385593130529
0.341.523289546693950.00595148107492485
0.351.524362419012250.00630577026898921
0.361.525485455979350.00668266914253021
0.371.526663020503490.00706227608747265
0.381.527896291920710.00742511248600285
0.391.529183799726450.00776323147099851
0.41.530522123526320.00806758971815316
0.411.531906615880760.00833713656279706
0.421.533332023157760.00857327019084329
0.431.534792915507270.00877761709347272
0.441.536283881603820.00895270982980447
0.451.537799488734610.00909840305369837
0.461.539334048100210.0092141194793655
0.471.540881255088750.00929420375963138
0.481.542433792841460.00932999157868689
0.491.54398299387630.00931183607631842
0.51.545518648850560.00922711545940345
0.511.547029034373480.0090671235610757
0.521.548501204682130.00882137264371978
0.531.549921557691870.0084874598309572
0.541.551276648363270.00806573400419585
0.551.5525541863050.00756452112060652
0.561.553744125036290.00699994235088747
0.571.55483973160120.00639162938066621
0.581.555838519914730.00576710459036623
0.591.556742939904420.00515725269502545
0.61.557560735677490.00459482895186094
0.611.558304916484820.00411509188260654
0.621.558993320257850.00375247130936337
0.631.559647787084320.00353848079256364
0.641.560292995890550.00349552735881721
0.651.560955049298390.00362825674735307
0.661.561659917124180.00392414351816939
0.671.562431866370520.00435611576303628
0.681.563292012711920.00488880374458199
0.691.564257123227540.00548812094013058
0.71.565338780949380.00611735210857923
0.711.566542988791580.00674348946578066
0.721.567870246323770.00733625167893722
0.731.569316083253170.00786984575824144
0.741.570871986101860.00832730108870857
0.751.57252661726850.00869590915619094
0.761.574267203756790.00897389099955744
0.771.57608096657570.00916542697074533
0.781.577956465313940.00927943166455315
0.791.579884735408270.00933318168244562
0.81.581860088519160.00934472683325849
0.811.583880427837840.00933385493236225
0.821.585946914883840.00931978856908822
0.831.588062847196190.00931455110175857
0.841.590231716111580.00932171619223279
0.851.592454652212850.00933129659810685
0.861.594727828689890.00931443857242003
0.871.597040780556950.00923306428018525
0.881.599376784535020.00904389240414459
0.891.601716118793270.00872092805009229
0.91.604041972135450.00826899477315053
0.911.606347242226290.00773756822500484
0.921.608639501770410.00721289883132535
0.931.610942664254820.00677751385139842
0.941.613297907574920.00644277591044467
0.951.61576923102750.00613988554745689
0.961.618449757382090.00585258134205043
0.971.62143394960660.00586271523020999
0.981.624690228033810.00669396284904369
0.991.627827664091480.00832627302133688



Parameters (Session):
par1 = 0.1 ; par2 = 0.99 ; par3 = 0.1 ;
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')