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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 02 Oct 2013 08:54:43 -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/2013/Oct/02/t13807184934etvix1b35is1zr.htm/, Retrieved Sun, 28 Apr 2024 18:51:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212687, Retrieved Sun, 28 Apr 2024 18:51:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Quartiles] [] [2012-02-21 11:25:24] [377294bc6bc2993860fe39bacabc51df]
- RMPD    [Harrell-Davis Quantiles] [] [2013-10-02 12:54:43] [a69cf87a9dee79cf54f729839ea0968e] [Current]
- R  D      [Harrell-Davis Quantiles] [] [2014-01-12 20:45:59] [77f3f6b9d5348ab28232e04a58998a43]
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Dataseries X:
1,58
1,59
1,55
1,52
1,51
1,5
1,56
1,59
1,59
1,59
1,6
1,57
1,55
1,54
1,58
1,57
1,56
1,62
1,59
1,61
1,63
1,74
1,77
1,82
1,78
1,75
1,76
1,72
1,78
1,82
1,91
1,82
1,91
1,81
1,59
1,48
1,47
1,56
1,5
1,47
1,49
1,57
1,57
1,63
1,67
1,61
1,66
1,66
1,72
1,73
1,75
1,74
1,75
1,75
1,71
1,7
1,77
1,81
1,91
1,98
1,96
1,89
1,98
2,02
2,01
1,91
1,94
1,93
1,98
2,01
1,97
1,96
2,11
2,13
2,17
2,17
2,05
1,84
1,87
2,03
2,17
2,17
2,2
2,13




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212687&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212687&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212687&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'Herman Ole Andreas Wold' @ wold.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.471492847538340.00410849846448051
0.021.475262336347690.00883895563052382
0.031.480908961633780.0119269457004076
0.041.487525814496580.0136286679764087
0.051.494464099933130.0150388397817047
0.061.50151301174710.0168154149435922
0.071.508696992689320.018828855223621
0.081.516032636219710.0205055097776022
0.091.523410585954640.0213139895265495
0.11.530609245841830.0210428623290627
0.111.537377239944220.0198215525421397
0.121.543517376599170.0180011552877006
0.131.548933146237640.0159897144927841
0.141.553631503962570.014125873798101
0.151.557696231331660.0126146547313652
0.161.561251243768160.0115340390265958
0.171.564428174679790.0108589161249718
0.181.567344649320360.0105167475352769
0.191.57009361138510.0104052546613479
0.21.57274125885920.010434553205152
0.211.575330752286560.010533589956881
0.221.577889428130490.0106620909737778
0.231.580437758036410.0108274887113476
0.241.582998443771180.011082085668944
0.251.585604041021950.0115155947894474
0.261.588301701562170.0122298332918076
0.271.591154180347640.0133175037432148
0.281.594237076622160.0148329106290789
0.291.597633095018310.0167877179317835
0.31.601424644816690.0191395503567697
0.311.605686197560920.0218267460322899
0.321.610477535069780.0247591781689619
0.331.615838523313990.0278248332374622
0.341.621785567187520.0309129248079183
0.351.628309604840070.0338937186087566
0.361.635375442109420.0366416954052068
0.371.642922348408190.0390269982620342
0.381.650866008581190.0409321047792149
0.391.659102021408680.0422590661761901
0.41.66751107672290.042937220509116
0.411.675965728185990.0429370911979439
0.421.684338374437930.0422704991751875
0.431.692509769506050.0409972343184683
0.441.700377199723060.0392200519087111
0.451.707861444853450.0370744069247151
0.461.714911787430590.0347197509634332
0.471.721508601020.0323195771683514
0.481.727663365173020.0300449468487151
0.491.733416254702540.0280353549513365
0.51.738831689225280.0264180321079666
0.511.743992391329140.0252831122610643
0.521.74899259660850.0246779342535867
0.531.753931101282740.0246080028084156
0.541.758904829131830.0250389247177064
0.551.764003538036730.0259048547921697
0.561.769306144070160.0271212481961105
0.571.774878897991180.028604757749708
0.581.780775310485410.0302831829777856
0.591.787037337016320.0320955372705026
0.61.793696996250750.0340038367117716
0.611.800777432418110.0359777052474644
0.621.808292554605720.0379827822537347
0.631.816244841340420.0399684186305609
0.641.824621618832290.0418523890331872
0.651.833390908684980.0435274398440211
0.661.842498508786470.044862463618952
0.671.851868038638510.0457318627726909
0.681.8614050978960.0460417689761741
0.691.871005538600820.045758484227937
0.71.880566478499660.0449133425058342
0.711.889997591655290.043615386918616
0.721.899229885780980.0420131853236704
0.731.908219852106870.0402685054568181
0.741.916948400214860.0385142176209512
0.751.925415832979480.0368340525532015
0.761.9336355529950.0352594163051779
0.771.941629622189510.0337862854044791
0.781.949428537221520.032414593153627
0.791.957075986014760.031181339031272
0.81.964637646982550.0301743535844688
0.811.972211989927780.0295316133906681
0.821.979940744973540.0294195780945956
0.831.988016688922850.0300137924529172
0.841.996685674364520.0314742468386856
0.852.006237880718210.0339171431919712
0.862.016981176434050.0373419246640972
0.872.029190246791250.0415386664212184
0.882.043032074733720.0459878779907524
0.892.058481514693070.049864194231955
0.92.075253784440570.0521975613549053
0.912.092783086385470.0521518852510535
0.922.110262860209430.0492902620533259
0.932.126744486090670.0436932654930965
0.942.141293667446850.0358855549355912
0.952.15324292533220.0267738950252441
0.962.162612709398540.017801634831938
0.972.170630559146440.011512018503292
0.982.179639018963550.0125902688337059
0.992.19080291857250.0211661425356799

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.47149284753834 & 0.00410849846448051 \tabularnewline
0.02 & 1.47526233634769 & 0.00883895563052382 \tabularnewline
0.03 & 1.48090896163378 & 0.0119269457004076 \tabularnewline
0.04 & 1.48752581449658 & 0.0136286679764087 \tabularnewline
0.05 & 1.49446409993313 & 0.0150388397817047 \tabularnewline
0.06 & 1.5015130117471 & 0.0168154149435922 \tabularnewline
0.07 & 1.50869699268932 & 0.018828855223621 \tabularnewline
0.08 & 1.51603263621971 & 0.0205055097776022 \tabularnewline
0.09 & 1.52341058595464 & 0.0213139895265495 \tabularnewline
0.1 & 1.53060924584183 & 0.0210428623290627 \tabularnewline
0.11 & 1.53737723994422 & 0.0198215525421397 \tabularnewline
0.12 & 1.54351737659917 & 0.0180011552877006 \tabularnewline
0.13 & 1.54893314623764 & 0.0159897144927841 \tabularnewline
0.14 & 1.55363150396257 & 0.014125873798101 \tabularnewline
0.15 & 1.55769623133166 & 0.0126146547313652 \tabularnewline
0.16 & 1.56125124376816 & 0.0115340390265958 \tabularnewline
0.17 & 1.56442817467979 & 0.0108589161249718 \tabularnewline
0.18 & 1.56734464932036 & 0.0105167475352769 \tabularnewline
0.19 & 1.5700936113851 & 0.0104052546613479 \tabularnewline
0.2 & 1.5727412588592 & 0.010434553205152 \tabularnewline
0.21 & 1.57533075228656 & 0.010533589956881 \tabularnewline
0.22 & 1.57788942813049 & 0.0106620909737778 \tabularnewline
0.23 & 1.58043775803641 & 0.0108274887113476 \tabularnewline
0.24 & 1.58299844377118 & 0.011082085668944 \tabularnewline
0.25 & 1.58560404102195 & 0.0115155947894474 \tabularnewline
0.26 & 1.58830170156217 & 0.0122298332918076 \tabularnewline
0.27 & 1.59115418034764 & 0.0133175037432148 \tabularnewline
0.28 & 1.59423707662216 & 0.0148329106290789 \tabularnewline
0.29 & 1.59763309501831 & 0.0167877179317835 \tabularnewline
0.3 & 1.60142464481669 & 0.0191395503567697 \tabularnewline
0.31 & 1.60568619756092 & 0.0218267460322899 \tabularnewline
0.32 & 1.61047753506978 & 0.0247591781689619 \tabularnewline
0.33 & 1.61583852331399 & 0.0278248332374622 \tabularnewline
0.34 & 1.62178556718752 & 0.0309129248079183 \tabularnewline
0.35 & 1.62830960484007 & 0.0338937186087566 \tabularnewline
0.36 & 1.63537544210942 & 0.0366416954052068 \tabularnewline
0.37 & 1.64292234840819 & 0.0390269982620342 \tabularnewline
0.38 & 1.65086600858119 & 0.0409321047792149 \tabularnewline
0.39 & 1.65910202140868 & 0.0422590661761901 \tabularnewline
0.4 & 1.6675110767229 & 0.042937220509116 \tabularnewline
0.41 & 1.67596572818599 & 0.0429370911979439 \tabularnewline
0.42 & 1.68433837443793 & 0.0422704991751875 \tabularnewline
0.43 & 1.69250976950605 & 0.0409972343184683 \tabularnewline
0.44 & 1.70037719972306 & 0.0392200519087111 \tabularnewline
0.45 & 1.70786144485345 & 0.0370744069247151 \tabularnewline
0.46 & 1.71491178743059 & 0.0347197509634332 \tabularnewline
0.47 & 1.72150860102 & 0.0323195771683514 \tabularnewline
0.48 & 1.72766336517302 & 0.0300449468487151 \tabularnewline
0.49 & 1.73341625470254 & 0.0280353549513365 \tabularnewline
0.5 & 1.73883168922528 & 0.0264180321079666 \tabularnewline
0.51 & 1.74399239132914 & 0.0252831122610643 \tabularnewline
0.52 & 1.7489925966085 & 0.0246779342535867 \tabularnewline
0.53 & 1.75393110128274 & 0.0246080028084156 \tabularnewline
0.54 & 1.75890482913183 & 0.0250389247177064 \tabularnewline
0.55 & 1.76400353803673 & 0.0259048547921697 \tabularnewline
0.56 & 1.76930614407016 & 0.0271212481961105 \tabularnewline
0.57 & 1.77487889799118 & 0.028604757749708 \tabularnewline
0.58 & 1.78077531048541 & 0.0302831829777856 \tabularnewline
0.59 & 1.78703733701632 & 0.0320955372705026 \tabularnewline
0.6 & 1.79369699625075 & 0.0340038367117716 \tabularnewline
0.61 & 1.80077743241811 & 0.0359777052474644 \tabularnewline
0.62 & 1.80829255460572 & 0.0379827822537347 \tabularnewline
0.63 & 1.81624484134042 & 0.0399684186305609 \tabularnewline
0.64 & 1.82462161883229 & 0.0418523890331872 \tabularnewline
0.65 & 1.83339090868498 & 0.0435274398440211 \tabularnewline
0.66 & 1.84249850878647 & 0.044862463618952 \tabularnewline
0.67 & 1.85186803863851 & 0.0457318627726909 \tabularnewline
0.68 & 1.861405097896 & 0.0460417689761741 \tabularnewline
0.69 & 1.87100553860082 & 0.045758484227937 \tabularnewline
0.7 & 1.88056647849966 & 0.0449133425058342 \tabularnewline
0.71 & 1.88999759165529 & 0.043615386918616 \tabularnewline
0.72 & 1.89922988578098 & 0.0420131853236704 \tabularnewline
0.73 & 1.90821985210687 & 0.0402685054568181 \tabularnewline
0.74 & 1.91694840021486 & 0.0385142176209512 \tabularnewline
0.75 & 1.92541583297948 & 0.0368340525532015 \tabularnewline
0.76 & 1.933635552995 & 0.0352594163051779 \tabularnewline
0.77 & 1.94162962218951 & 0.0337862854044791 \tabularnewline
0.78 & 1.94942853722152 & 0.032414593153627 \tabularnewline
0.79 & 1.95707598601476 & 0.031181339031272 \tabularnewline
0.8 & 1.96463764698255 & 0.0301743535844688 \tabularnewline
0.81 & 1.97221198992778 & 0.0295316133906681 \tabularnewline
0.82 & 1.97994074497354 & 0.0294195780945956 \tabularnewline
0.83 & 1.98801668892285 & 0.0300137924529172 \tabularnewline
0.84 & 1.99668567436452 & 0.0314742468386856 \tabularnewline
0.85 & 2.00623788071821 & 0.0339171431919712 \tabularnewline
0.86 & 2.01698117643405 & 0.0373419246640972 \tabularnewline
0.87 & 2.02919024679125 & 0.0415386664212184 \tabularnewline
0.88 & 2.04303207473372 & 0.0459878779907524 \tabularnewline
0.89 & 2.05848151469307 & 0.049864194231955 \tabularnewline
0.9 & 2.07525378444057 & 0.0521975613549053 \tabularnewline
0.91 & 2.09278308638547 & 0.0521518852510535 \tabularnewline
0.92 & 2.11026286020943 & 0.0492902620533259 \tabularnewline
0.93 & 2.12674448609067 & 0.0436932654930965 \tabularnewline
0.94 & 2.14129366744685 & 0.0358855549355912 \tabularnewline
0.95 & 2.1532429253322 & 0.0267738950252441 \tabularnewline
0.96 & 2.16261270939854 & 0.017801634831938 \tabularnewline
0.97 & 2.17063055914644 & 0.011512018503292 \tabularnewline
0.98 & 2.17963901896355 & 0.0125902688337059 \tabularnewline
0.99 & 2.1908029185725 & 0.0211661425356799 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212687&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]1.47149284753834[/C][C]0.00410849846448051[/C][/ROW]
[ROW][C]0.02[/C][C]1.47526233634769[/C][C]0.00883895563052382[/C][/ROW]
[ROW][C]0.03[/C][C]1.48090896163378[/C][C]0.0119269457004076[/C][/ROW]
[ROW][C]0.04[/C][C]1.48752581449658[/C][C]0.0136286679764087[/C][/ROW]
[ROW][C]0.05[/C][C]1.49446409993313[/C][C]0.0150388397817047[/C][/ROW]
[ROW][C]0.06[/C][C]1.5015130117471[/C][C]0.0168154149435922[/C][/ROW]
[ROW][C]0.07[/C][C]1.50869699268932[/C][C]0.018828855223621[/C][/ROW]
[ROW][C]0.08[/C][C]1.51603263621971[/C][C]0.0205055097776022[/C][/ROW]
[ROW][C]0.09[/C][C]1.52341058595464[/C][C]0.0213139895265495[/C][/ROW]
[ROW][C]0.1[/C][C]1.53060924584183[/C][C]0.0210428623290627[/C][/ROW]
[ROW][C]0.11[/C][C]1.53737723994422[/C][C]0.0198215525421397[/C][/ROW]
[ROW][C]0.12[/C][C]1.54351737659917[/C][C]0.0180011552877006[/C][/ROW]
[ROW][C]0.13[/C][C]1.54893314623764[/C][C]0.0159897144927841[/C][/ROW]
[ROW][C]0.14[/C][C]1.55363150396257[/C][C]0.014125873798101[/C][/ROW]
[ROW][C]0.15[/C][C]1.55769623133166[/C][C]0.0126146547313652[/C][/ROW]
[ROW][C]0.16[/C][C]1.56125124376816[/C][C]0.0115340390265958[/C][/ROW]
[ROW][C]0.17[/C][C]1.56442817467979[/C][C]0.0108589161249718[/C][/ROW]
[ROW][C]0.18[/C][C]1.56734464932036[/C][C]0.0105167475352769[/C][/ROW]
[ROW][C]0.19[/C][C]1.5700936113851[/C][C]0.0104052546613479[/C][/ROW]
[ROW][C]0.2[/C][C]1.5727412588592[/C][C]0.010434553205152[/C][/ROW]
[ROW][C]0.21[/C][C]1.57533075228656[/C][C]0.010533589956881[/C][/ROW]
[ROW][C]0.22[/C][C]1.57788942813049[/C][C]0.0106620909737778[/C][/ROW]
[ROW][C]0.23[/C][C]1.58043775803641[/C][C]0.0108274887113476[/C][/ROW]
[ROW][C]0.24[/C][C]1.58299844377118[/C][C]0.011082085668944[/C][/ROW]
[ROW][C]0.25[/C][C]1.58560404102195[/C][C]0.0115155947894474[/C][/ROW]
[ROW][C]0.26[/C][C]1.58830170156217[/C][C]0.0122298332918076[/C][/ROW]
[ROW][C]0.27[/C][C]1.59115418034764[/C][C]0.0133175037432148[/C][/ROW]
[ROW][C]0.28[/C][C]1.59423707662216[/C][C]0.0148329106290789[/C][/ROW]
[ROW][C]0.29[/C][C]1.59763309501831[/C][C]0.0167877179317835[/C][/ROW]
[ROW][C]0.3[/C][C]1.60142464481669[/C][C]0.0191395503567697[/C][/ROW]
[ROW][C]0.31[/C][C]1.60568619756092[/C][C]0.0218267460322899[/C][/ROW]
[ROW][C]0.32[/C][C]1.61047753506978[/C][C]0.0247591781689619[/C][/ROW]
[ROW][C]0.33[/C][C]1.61583852331399[/C][C]0.0278248332374622[/C][/ROW]
[ROW][C]0.34[/C][C]1.62178556718752[/C][C]0.0309129248079183[/C][/ROW]
[ROW][C]0.35[/C][C]1.62830960484007[/C][C]0.0338937186087566[/C][/ROW]
[ROW][C]0.36[/C][C]1.63537544210942[/C][C]0.0366416954052068[/C][/ROW]
[ROW][C]0.37[/C][C]1.64292234840819[/C][C]0.0390269982620342[/C][/ROW]
[ROW][C]0.38[/C][C]1.65086600858119[/C][C]0.0409321047792149[/C][/ROW]
[ROW][C]0.39[/C][C]1.65910202140868[/C][C]0.0422590661761901[/C][/ROW]
[ROW][C]0.4[/C][C]1.6675110767229[/C][C]0.042937220509116[/C][/ROW]
[ROW][C]0.41[/C][C]1.67596572818599[/C][C]0.0429370911979439[/C][/ROW]
[ROW][C]0.42[/C][C]1.68433837443793[/C][C]0.0422704991751875[/C][/ROW]
[ROW][C]0.43[/C][C]1.69250976950605[/C][C]0.0409972343184683[/C][/ROW]
[ROW][C]0.44[/C][C]1.70037719972306[/C][C]0.0392200519087111[/C][/ROW]
[ROW][C]0.45[/C][C]1.70786144485345[/C][C]0.0370744069247151[/C][/ROW]
[ROW][C]0.46[/C][C]1.71491178743059[/C][C]0.0347197509634332[/C][/ROW]
[ROW][C]0.47[/C][C]1.72150860102[/C][C]0.0323195771683514[/C][/ROW]
[ROW][C]0.48[/C][C]1.72766336517302[/C][C]0.0300449468487151[/C][/ROW]
[ROW][C]0.49[/C][C]1.73341625470254[/C][C]0.0280353549513365[/C][/ROW]
[ROW][C]0.5[/C][C]1.73883168922528[/C][C]0.0264180321079666[/C][/ROW]
[ROW][C]0.51[/C][C]1.74399239132914[/C][C]0.0252831122610643[/C][/ROW]
[ROW][C]0.52[/C][C]1.7489925966085[/C][C]0.0246779342535867[/C][/ROW]
[ROW][C]0.53[/C][C]1.75393110128274[/C][C]0.0246080028084156[/C][/ROW]
[ROW][C]0.54[/C][C]1.75890482913183[/C][C]0.0250389247177064[/C][/ROW]
[ROW][C]0.55[/C][C]1.76400353803673[/C][C]0.0259048547921697[/C][/ROW]
[ROW][C]0.56[/C][C]1.76930614407016[/C][C]0.0271212481961105[/C][/ROW]
[ROW][C]0.57[/C][C]1.77487889799118[/C][C]0.028604757749708[/C][/ROW]
[ROW][C]0.58[/C][C]1.78077531048541[/C][C]0.0302831829777856[/C][/ROW]
[ROW][C]0.59[/C][C]1.78703733701632[/C][C]0.0320955372705026[/C][/ROW]
[ROW][C]0.6[/C][C]1.79369699625075[/C][C]0.0340038367117716[/C][/ROW]
[ROW][C]0.61[/C][C]1.80077743241811[/C][C]0.0359777052474644[/C][/ROW]
[ROW][C]0.62[/C][C]1.80829255460572[/C][C]0.0379827822537347[/C][/ROW]
[ROW][C]0.63[/C][C]1.81624484134042[/C][C]0.0399684186305609[/C][/ROW]
[ROW][C]0.64[/C][C]1.82462161883229[/C][C]0.0418523890331872[/C][/ROW]
[ROW][C]0.65[/C][C]1.83339090868498[/C][C]0.0435274398440211[/C][/ROW]
[ROW][C]0.66[/C][C]1.84249850878647[/C][C]0.044862463618952[/C][/ROW]
[ROW][C]0.67[/C][C]1.85186803863851[/C][C]0.0457318627726909[/C][/ROW]
[ROW][C]0.68[/C][C]1.861405097896[/C][C]0.0460417689761741[/C][/ROW]
[ROW][C]0.69[/C][C]1.87100553860082[/C][C]0.045758484227937[/C][/ROW]
[ROW][C]0.7[/C][C]1.88056647849966[/C][C]0.0449133425058342[/C][/ROW]
[ROW][C]0.71[/C][C]1.88999759165529[/C][C]0.043615386918616[/C][/ROW]
[ROW][C]0.72[/C][C]1.89922988578098[/C][C]0.0420131853236704[/C][/ROW]
[ROW][C]0.73[/C][C]1.90821985210687[/C][C]0.0402685054568181[/C][/ROW]
[ROW][C]0.74[/C][C]1.91694840021486[/C][C]0.0385142176209512[/C][/ROW]
[ROW][C]0.75[/C][C]1.92541583297948[/C][C]0.0368340525532015[/C][/ROW]
[ROW][C]0.76[/C][C]1.933635552995[/C][C]0.0352594163051779[/C][/ROW]
[ROW][C]0.77[/C][C]1.94162962218951[/C][C]0.0337862854044791[/C][/ROW]
[ROW][C]0.78[/C][C]1.94942853722152[/C][C]0.032414593153627[/C][/ROW]
[ROW][C]0.79[/C][C]1.95707598601476[/C][C]0.031181339031272[/C][/ROW]
[ROW][C]0.8[/C][C]1.96463764698255[/C][C]0.0301743535844688[/C][/ROW]
[ROW][C]0.81[/C][C]1.97221198992778[/C][C]0.0295316133906681[/C][/ROW]
[ROW][C]0.82[/C][C]1.97994074497354[/C][C]0.0294195780945956[/C][/ROW]
[ROW][C]0.83[/C][C]1.98801668892285[/C][C]0.0300137924529172[/C][/ROW]
[ROW][C]0.84[/C][C]1.99668567436452[/C][C]0.0314742468386856[/C][/ROW]
[ROW][C]0.85[/C][C]2.00623788071821[/C][C]0.0339171431919712[/C][/ROW]
[ROW][C]0.86[/C][C]2.01698117643405[/C][C]0.0373419246640972[/C][/ROW]
[ROW][C]0.87[/C][C]2.02919024679125[/C][C]0.0415386664212184[/C][/ROW]
[ROW][C]0.88[/C][C]2.04303207473372[/C][C]0.0459878779907524[/C][/ROW]
[ROW][C]0.89[/C][C]2.05848151469307[/C][C]0.049864194231955[/C][/ROW]
[ROW][C]0.9[/C][C]2.07525378444057[/C][C]0.0521975613549053[/C][/ROW]
[ROW][C]0.91[/C][C]2.09278308638547[/C][C]0.0521518852510535[/C][/ROW]
[ROW][C]0.92[/C][C]2.11026286020943[/C][C]0.0492902620533259[/C][/ROW]
[ROW][C]0.93[/C][C]2.12674448609067[/C][C]0.0436932654930965[/C][/ROW]
[ROW][C]0.94[/C][C]2.14129366744685[/C][C]0.0358855549355912[/C][/ROW]
[ROW][C]0.95[/C][C]2.1532429253322[/C][C]0.0267738950252441[/C][/ROW]
[ROW][C]0.96[/C][C]2.16261270939854[/C][C]0.017801634831938[/C][/ROW]
[ROW][C]0.97[/C][C]2.17063055914644[/C][C]0.011512018503292[/C][/ROW]
[ROW][C]0.98[/C][C]2.17963901896355[/C][C]0.0125902688337059[/C][/ROW]
[ROW][C]0.99[/C][C]2.1908029185725[/C][C]0.0211661425356799[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212687&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212687&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
0.011.471492847538340.00410849846448051
0.021.475262336347690.00883895563052382
0.031.480908961633780.0119269457004076
0.041.487525814496580.0136286679764087
0.051.494464099933130.0150388397817047
0.061.50151301174710.0168154149435922
0.071.508696992689320.018828855223621
0.081.516032636219710.0205055097776022
0.091.523410585954640.0213139895265495
0.11.530609245841830.0210428623290627
0.111.537377239944220.0198215525421397
0.121.543517376599170.0180011552877006
0.131.548933146237640.0159897144927841
0.141.553631503962570.014125873798101
0.151.557696231331660.0126146547313652
0.161.561251243768160.0115340390265958
0.171.564428174679790.0108589161249718
0.181.567344649320360.0105167475352769
0.191.57009361138510.0104052546613479
0.21.57274125885920.010434553205152
0.211.575330752286560.010533589956881
0.221.577889428130490.0106620909737778
0.231.580437758036410.0108274887113476
0.241.582998443771180.011082085668944
0.251.585604041021950.0115155947894474
0.261.588301701562170.0122298332918076
0.271.591154180347640.0133175037432148
0.281.594237076622160.0148329106290789
0.291.597633095018310.0167877179317835
0.31.601424644816690.0191395503567697
0.311.605686197560920.0218267460322899
0.321.610477535069780.0247591781689619
0.331.615838523313990.0278248332374622
0.341.621785567187520.0309129248079183
0.351.628309604840070.0338937186087566
0.361.635375442109420.0366416954052068
0.371.642922348408190.0390269982620342
0.381.650866008581190.0409321047792149
0.391.659102021408680.0422590661761901
0.41.66751107672290.042937220509116
0.411.675965728185990.0429370911979439
0.421.684338374437930.0422704991751875
0.431.692509769506050.0409972343184683
0.441.700377199723060.0392200519087111
0.451.707861444853450.0370744069247151
0.461.714911787430590.0347197509634332
0.471.721508601020.0323195771683514
0.481.727663365173020.0300449468487151
0.491.733416254702540.0280353549513365
0.51.738831689225280.0264180321079666
0.511.743992391329140.0252831122610643
0.521.74899259660850.0246779342535867
0.531.753931101282740.0246080028084156
0.541.758904829131830.0250389247177064
0.551.764003538036730.0259048547921697
0.561.769306144070160.0271212481961105
0.571.774878897991180.028604757749708
0.581.780775310485410.0302831829777856
0.591.787037337016320.0320955372705026
0.61.793696996250750.0340038367117716
0.611.800777432418110.0359777052474644
0.621.808292554605720.0379827822537347
0.631.816244841340420.0399684186305609
0.641.824621618832290.0418523890331872
0.651.833390908684980.0435274398440211
0.661.842498508786470.044862463618952
0.671.851868038638510.0457318627726909
0.681.8614050978960.0460417689761741
0.691.871005538600820.045758484227937
0.71.880566478499660.0449133425058342
0.711.889997591655290.043615386918616
0.721.899229885780980.0420131853236704
0.731.908219852106870.0402685054568181
0.741.916948400214860.0385142176209512
0.751.925415832979480.0368340525532015
0.761.9336355529950.0352594163051779
0.771.941629622189510.0337862854044791
0.781.949428537221520.032414593153627
0.791.957075986014760.031181339031272
0.81.964637646982550.0301743535844688
0.811.972211989927780.0295316133906681
0.821.979940744973540.0294195780945956
0.831.988016688922850.0300137924529172
0.841.996685674364520.0314742468386856
0.852.006237880718210.0339171431919712
0.862.016981176434050.0373419246640972
0.872.029190246791250.0415386664212184
0.882.043032074733720.0459878779907524
0.892.058481514693070.049864194231955
0.92.075253784440570.0521975613549053
0.912.092783086385470.0521518852510535
0.922.110262860209430.0492902620533259
0.932.126744486090670.0436932654930965
0.942.141293667446850.0358855549355912
0.952.15324292533220.0267738950252441
0.962.162612709398540.017801634831938
0.972.170630559146440.011512018503292
0.982.179639018963550.0125902688337059
0.992.19080291857250.0211661425356799



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')