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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 25 Oct 2008 13:08:18 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/25/t1224961732wr0opng2tod2rnj.htm/, Retrieved Sun, 19 May 2024 16:37:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18798, Retrieved Sun, 19 May 2024 16:37:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2008-10-25 19:08:18] [06e57c0cb32e2f613cf343ab1a0ac99f] [Current]
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Dataseries X:
1.29
1.29
1.3
1.3
1.3
1.3
1.31
1.31
1.31
1.31
1.31
1.32
1.32
1.32
1.32
1.33
1.33
1.33
1.34
1.34
1.34
1.34
1.34
1.34
1.34
1.35
1.36
1.36
1.36
1.37
1.37
1.37
1.37
1.37
1.37
1.37
1.38
1.38
1.38
1.39
1.4
1.4
1.4
1.4
1.41
1.42
1.43
1.43
1.43
1.44
1.45
1.45
1.46
1.46
1.47
1.47
1.47
1.48
1.49
1.49
1.49
1.5
1.51
1.51
1.51
1.52
1.52
1.52
1.52
1.53
1.53
1.53
1.53
1.54
1.54
1.55
1.55
1.55
1.56
1.56
1.58
1.58
1.58
1.58
1.58
1.58
1.59
1.59
1.6
1.6
1.6
1.61
1.62
1.62
1.63
1.63




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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18798&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18798&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18798&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.291279095351330.00319055895520119
0.021.293991926596770.00493803986641533
0.031.297068390423420.00449781259757395
0.041.299752345594420.00401362059730525
0.051.302038573599280.00434961022452662
0.061.304173599972680.00486758528732789
0.071.306285062240150.00513708134377463
0.081.308375316303970.00524424313490418
0.091.310433660627220.00544942033305424
0.11.312490005219730.00588398619001977
0.111.314598383531310.00648389398066797
0.121.316801698252550.00712262766974167
0.131.319112854281970.0077005476529904
0.141.321516067621570.00816823461358069
0.151.323977410219330.00849456583727325
0.161.326455461793540.00866404641327832
0.171.328909745350770.0086783582869089
0.181.331308255650770.0085737657427536
0.191.333634702141000.00842889737559881
0.21.335893850493200.0083503120058218
0.211.338112308855710.00844571828387213
0.221.340333150543170.00877810832808461
0.231.342605116502490.00933800199041181
0.241.344969401739320.0100421859881152
0.251.347448098462120.0107626835440801
0.261.350037867028690.0113655847440907
0.271.352710663962960.0117499886897371
0.281.355421129755240.0118680110384655
0.291.358118340327040.0117318598208244
0.31.360758620361940.0114098377851244
0.311.363316176203240.0110221126181713
0.321.365789237035340.0106950484815694
0.331.368200783234440.0105579227889484
0.341.370594337856310.0106976842392360
0.351.373026347092180.0111561121760978
0.361.375557188514050.0119115029144420
0.371.378242799738260.0129077292442284
0.381.381128424856090.0140680827465330
0.391.384245224072790.0153178120300808
0.41.387609704974370.0165867249747952
0.411.391225310562250.0178244774703116
0.421.395085171228610.0189988623275836
0.431.399175031221490.0200878480614619
0.441.403475633303650.0210763972897642
0.451.407964256532190.0219489694113079
0.461.412615498556350.0226937887291709
0.471.417401654244630.0232950661329139
0.481.422293112887630.0237424819807026
0.491.427259096338270.0240285224964138
0.51.432268861094430.0241553136992192
0.511.437293273495340.0241353132336144
0.521.442306505108560.0239869041691057
0.531.447287516975780.0237421170044934
0.541.452221007998480.0234298974067023
0.551.457097579274360.0230817585369014
0.561.461912993928250.0227224220207387
0.571.466666572891340.0223695837428163
0.581.471358940426310.0220245922706667
0.591.475989490926030.0216759201869403
0.61.480554055974710.0212992491800960
0.611.485043274482150.0208644944447732
0.621.489442088587570.02034075793476
0.631.493730606706750.0197046709453584
0.641.497886321787630.0189481951715681
0.651.501887398608260.0180794903823136
0.661.505716510057060.0171266827883974
0.671.509364564618900.0161404750194411
0.681.512833660823810.0151742484572103
0.691.516138733348750.0142970795646807
0.71.519307591860310.0135674901944849
0.711.522379345393220.0130355819596445
0.721.525401487564090.0127312360544068
0.731.528426123640440.012660707488295
0.741.531505884838790.0128114426637083
0.751.534689949889240.0131493998295781
0.761.538020281732750.0136289978713735
0.771.541527796506860.0141962739574382
0.781.545227960062160.0147838266943926
0.791.549115582462820.0153094258186969
0.81.553159563566760.0156722889829185
0.811.557299837330810.0157579050788398
0.821.561449984617820.0154645781750216
0.831.56550874184590.0147405863287255
0.841.569380992652150.0136228425763159
0.851.573004041224010.0122594679389964
0.861.576370038743370.0108928219333482
0.871.579533692632350.00979378127693422
0.881.582598748652690.00915510781536785
0.891.585687238764410.00897942923769592
0.91.58890736402390.00908735727261318
0.911.592339975176160.00926819040423084
0.921.596051304317820.0094422730494875
0.931.600113184579700.00968672089547122
0.941.604594350937030.0100346627621656
0.951.609509069795200.0102349650072435
0.961.614759321730320.00987686970545525
0.971.620090048153510.00883295693211788
0.981.624977174025680.0070216020234381
0.991.628525487712840.0037074572459956

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.29127909535133 & 0.00319055895520119 \tabularnewline
0.02 & 1.29399192659677 & 0.00493803986641533 \tabularnewline
0.03 & 1.29706839042342 & 0.00449781259757395 \tabularnewline
0.04 & 1.29975234559442 & 0.00401362059730525 \tabularnewline
0.05 & 1.30203857359928 & 0.00434961022452662 \tabularnewline
0.06 & 1.30417359997268 & 0.00486758528732789 \tabularnewline
0.07 & 1.30628506224015 & 0.00513708134377463 \tabularnewline
0.08 & 1.30837531630397 & 0.00524424313490418 \tabularnewline
0.09 & 1.31043366062722 & 0.00544942033305424 \tabularnewline
0.1 & 1.31249000521973 & 0.00588398619001977 \tabularnewline
0.11 & 1.31459838353131 & 0.00648389398066797 \tabularnewline
0.12 & 1.31680169825255 & 0.00712262766974167 \tabularnewline
0.13 & 1.31911285428197 & 0.0077005476529904 \tabularnewline
0.14 & 1.32151606762157 & 0.00816823461358069 \tabularnewline
0.15 & 1.32397741021933 & 0.00849456583727325 \tabularnewline
0.16 & 1.32645546179354 & 0.00866404641327832 \tabularnewline
0.17 & 1.32890974535077 & 0.0086783582869089 \tabularnewline
0.18 & 1.33130825565077 & 0.0085737657427536 \tabularnewline
0.19 & 1.33363470214100 & 0.00842889737559881 \tabularnewline
0.2 & 1.33589385049320 & 0.0083503120058218 \tabularnewline
0.21 & 1.33811230885571 & 0.00844571828387213 \tabularnewline
0.22 & 1.34033315054317 & 0.00877810832808461 \tabularnewline
0.23 & 1.34260511650249 & 0.00933800199041181 \tabularnewline
0.24 & 1.34496940173932 & 0.0100421859881152 \tabularnewline
0.25 & 1.34744809846212 & 0.0107626835440801 \tabularnewline
0.26 & 1.35003786702869 & 0.0113655847440907 \tabularnewline
0.27 & 1.35271066396296 & 0.0117499886897371 \tabularnewline
0.28 & 1.35542112975524 & 0.0118680110384655 \tabularnewline
0.29 & 1.35811834032704 & 0.0117318598208244 \tabularnewline
0.3 & 1.36075862036194 & 0.0114098377851244 \tabularnewline
0.31 & 1.36331617620324 & 0.0110221126181713 \tabularnewline
0.32 & 1.36578923703534 & 0.0106950484815694 \tabularnewline
0.33 & 1.36820078323444 & 0.0105579227889484 \tabularnewline
0.34 & 1.37059433785631 & 0.0106976842392360 \tabularnewline
0.35 & 1.37302634709218 & 0.0111561121760978 \tabularnewline
0.36 & 1.37555718851405 & 0.0119115029144420 \tabularnewline
0.37 & 1.37824279973826 & 0.0129077292442284 \tabularnewline
0.38 & 1.38112842485609 & 0.0140680827465330 \tabularnewline
0.39 & 1.38424522407279 & 0.0153178120300808 \tabularnewline
0.4 & 1.38760970497437 & 0.0165867249747952 \tabularnewline
0.41 & 1.39122531056225 & 0.0178244774703116 \tabularnewline
0.42 & 1.39508517122861 & 0.0189988623275836 \tabularnewline
0.43 & 1.39917503122149 & 0.0200878480614619 \tabularnewline
0.44 & 1.40347563330365 & 0.0210763972897642 \tabularnewline
0.45 & 1.40796425653219 & 0.0219489694113079 \tabularnewline
0.46 & 1.41261549855635 & 0.0226937887291709 \tabularnewline
0.47 & 1.41740165424463 & 0.0232950661329139 \tabularnewline
0.48 & 1.42229311288763 & 0.0237424819807026 \tabularnewline
0.49 & 1.42725909633827 & 0.0240285224964138 \tabularnewline
0.5 & 1.43226886109443 & 0.0241553136992192 \tabularnewline
0.51 & 1.43729327349534 & 0.0241353132336144 \tabularnewline
0.52 & 1.44230650510856 & 0.0239869041691057 \tabularnewline
0.53 & 1.44728751697578 & 0.0237421170044934 \tabularnewline
0.54 & 1.45222100799848 & 0.0234298974067023 \tabularnewline
0.55 & 1.45709757927436 & 0.0230817585369014 \tabularnewline
0.56 & 1.46191299392825 & 0.0227224220207387 \tabularnewline
0.57 & 1.46666657289134 & 0.0223695837428163 \tabularnewline
0.58 & 1.47135894042631 & 0.0220245922706667 \tabularnewline
0.59 & 1.47598949092603 & 0.0216759201869403 \tabularnewline
0.6 & 1.48055405597471 & 0.0212992491800960 \tabularnewline
0.61 & 1.48504327448215 & 0.0208644944447732 \tabularnewline
0.62 & 1.48944208858757 & 0.02034075793476 \tabularnewline
0.63 & 1.49373060670675 & 0.0197046709453584 \tabularnewline
0.64 & 1.49788632178763 & 0.0189481951715681 \tabularnewline
0.65 & 1.50188739860826 & 0.0180794903823136 \tabularnewline
0.66 & 1.50571651005706 & 0.0171266827883974 \tabularnewline
0.67 & 1.50936456461890 & 0.0161404750194411 \tabularnewline
0.68 & 1.51283366082381 & 0.0151742484572103 \tabularnewline
0.69 & 1.51613873334875 & 0.0142970795646807 \tabularnewline
0.7 & 1.51930759186031 & 0.0135674901944849 \tabularnewline
0.71 & 1.52237934539322 & 0.0130355819596445 \tabularnewline
0.72 & 1.52540148756409 & 0.0127312360544068 \tabularnewline
0.73 & 1.52842612364044 & 0.012660707488295 \tabularnewline
0.74 & 1.53150588483879 & 0.0128114426637083 \tabularnewline
0.75 & 1.53468994988924 & 0.0131493998295781 \tabularnewline
0.76 & 1.53802028173275 & 0.0136289978713735 \tabularnewline
0.77 & 1.54152779650686 & 0.0141962739574382 \tabularnewline
0.78 & 1.54522796006216 & 0.0147838266943926 \tabularnewline
0.79 & 1.54911558246282 & 0.0153094258186969 \tabularnewline
0.8 & 1.55315956356676 & 0.0156722889829185 \tabularnewline
0.81 & 1.55729983733081 & 0.0157579050788398 \tabularnewline
0.82 & 1.56144998461782 & 0.0154645781750216 \tabularnewline
0.83 & 1.5655087418459 & 0.0147405863287255 \tabularnewline
0.84 & 1.56938099265215 & 0.0136228425763159 \tabularnewline
0.85 & 1.57300404122401 & 0.0122594679389964 \tabularnewline
0.86 & 1.57637003874337 & 0.0108928219333482 \tabularnewline
0.87 & 1.57953369263235 & 0.00979378127693422 \tabularnewline
0.88 & 1.58259874865269 & 0.00915510781536785 \tabularnewline
0.89 & 1.58568723876441 & 0.00897942923769592 \tabularnewline
0.9 & 1.5889073640239 & 0.00908735727261318 \tabularnewline
0.91 & 1.59233997517616 & 0.00926819040423084 \tabularnewline
0.92 & 1.59605130431782 & 0.0094422730494875 \tabularnewline
0.93 & 1.60011318457970 & 0.00968672089547122 \tabularnewline
0.94 & 1.60459435093703 & 0.0100346627621656 \tabularnewline
0.95 & 1.60950906979520 & 0.0102349650072435 \tabularnewline
0.96 & 1.61475932173032 & 0.00987686970545525 \tabularnewline
0.97 & 1.62009004815351 & 0.00883295693211788 \tabularnewline
0.98 & 1.62497717402568 & 0.0070216020234381 \tabularnewline
0.99 & 1.62852548771284 & 0.0037074572459956 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18798&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]1.29127909535133[/C][C]0.00319055895520119[/C][/ROW]
[ROW][C]0.02[/C][C]1.29399192659677[/C][C]0.00493803986641533[/C][/ROW]
[ROW][C]0.03[/C][C]1.29706839042342[/C][C]0.00449781259757395[/C][/ROW]
[ROW][C]0.04[/C][C]1.29975234559442[/C][C]0.00401362059730525[/C][/ROW]
[ROW][C]0.05[/C][C]1.30203857359928[/C][C]0.00434961022452662[/C][/ROW]
[ROW][C]0.06[/C][C]1.30417359997268[/C][C]0.00486758528732789[/C][/ROW]
[ROW][C]0.07[/C][C]1.30628506224015[/C][C]0.00513708134377463[/C][/ROW]
[ROW][C]0.08[/C][C]1.30837531630397[/C][C]0.00524424313490418[/C][/ROW]
[ROW][C]0.09[/C][C]1.31043366062722[/C][C]0.00544942033305424[/C][/ROW]
[ROW][C]0.1[/C][C]1.31249000521973[/C][C]0.00588398619001977[/C][/ROW]
[ROW][C]0.11[/C][C]1.31459838353131[/C][C]0.00648389398066797[/C][/ROW]
[ROW][C]0.12[/C][C]1.31680169825255[/C][C]0.00712262766974167[/C][/ROW]
[ROW][C]0.13[/C][C]1.31911285428197[/C][C]0.0077005476529904[/C][/ROW]
[ROW][C]0.14[/C][C]1.32151606762157[/C][C]0.00816823461358069[/C][/ROW]
[ROW][C]0.15[/C][C]1.32397741021933[/C][C]0.00849456583727325[/C][/ROW]
[ROW][C]0.16[/C][C]1.32645546179354[/C][C]0.00866404641327832[/C][/ROW]
[ROW][C]0.17[/C][C]1.32890974535077[/C][C]0.0086783582869089[/C][/ROW]
[ROW][C]0.18[/C][C]1.33130825565077[/C][C]0.0085737657427536[/C][/ROW]
[ROW][C]0.19[/C][C]1.33363470214100[/C][C]0.00842889737559881[/C][/ROW]
[ROW][C]0.2[/C][C]1.33589385049320[/C][C]0.0083503120058218[/C][/ROW]
[ROW][C]0.21[/C][C]1.33811230885571[/C][C]0.00844571828387213[/C][/ROW]
[ROW][C]0.22[/C][C]1.34033315054317[/C][C]0.00877810832808461[/C][/ROW]
[ROW][C]0.23[/C][C]1.34260511650249[/C][C]0.00933800199041181[/C][/ROW]
[ROW][C]0.24[/C][C]1.34496940173932[/C][C]0.0100421859881152[/C][/ROW]
[ROW][C]0.25[/C][C]1.34744809846212[/C][C]0.0107626835440801[/C][/ROW]
[ROW][C]0.26[/C][C]1.35003786702869[/C][C]0.0113655847440907[/C][/ROW]
[ROW][C]0.27[/C][C]1.35271066396296[/C][C]0.0117499886897371[/C][/ROW]
[ROW][C]0.28[/C][C]1.35542112975524[/C][C]0.0118680110384655[/C][/ROW]
[ROW][C]0.29[/C][C]1.35811834032704[/C][C]0.0117318598208244[/C][/ROW]
[ROW][C]0.3[/C][C]1.36075862036194[/C][C]0.0114098377851244[/C][/ROW]
[ROW][C]0.31[/C][C]1.36331617620324[/C][C]0.0110221126181713[/C][/ROW]
[ROW][C]0.32[/C][C]1.36578923703534[/C][C]0.0106950484815694[/C][/ROW]
[ROW][C]0.33[/C][C]1.36820078323444[/C][C]0.0105579227889484[/C][/ROW]
[ROW][C]0.34[/C][C]1.37059433785631[/C][C]0.0106976842392360[/C][/ROW]
[ROW][C]0.35[/C][C]1.37302634709218[/C][C]0.0111561121760978[/C][/ROW]
[ROW][C]0.36[/C][C]1.37555718851405[/C][C]0.0119115029144420[/C][/ROW]
[ROW][C]0.37[/C][C]1.37824279973826[/C][C]0.0129077292442284[/C][/ROW]
[ROW][C]0.38[/C][C]1.38112842485609[/C][C]0.0140680827465330[/C][/ROW]
[ROW][C]0.39[/C][C]1.38424522407279[/C][C]0.0153178120300808[/C][/ROW]
[ROW][C]0.4[/C][C]1.38760970497437[/C][C]0.0165867249747952[/C][/ROW]
[ROW][C]0.41[/C][C]1.39122531056225[/C][C]0.0178244774703116[/C][/ROW]
[ROW][C]0.42[/C][C]1.39508517122861[/C][C]0.0189988623275836[/C][/ROW]
[ROW][C]0.43[/C][C]1.39917503122149[/C][C]0.0200878480614619[/C][/ROW]
[ROW][C]0.44[/C][C]1.40347563330365[/C][C]0.0210763972897642[/C][/ROW]
[ROW][C]0.45[/C][C]1.40796425653219[/C][C]0.0219489694113079[/C][/ROW]
[ROW][C]0.46[/C][C]1.41261549855635[/C][C]0.0226937887291709[/C][/ROW]
[ROW][C]0.47[/C][C]1.41740165424463[/C][C]0.0232950661329139[/C][/ROW]
[ROW][C]0.48[/C][C]1.42229311288763[/C][C]0.0237424819807026[/C][/ROW]
[ROW][C]0.49[/C][C]1.42725909633827[/C][C]0.0240285224964138[/C][/ROW]
[ROW][C]0.5[/C][C]1.43226886109443[/C][C]0.0241553136992192[/C][/ROW]
[ROW][C]0.51[/C][C]1.43729327349534[/C][C]0.0241353132336144[/C][/ROW]
[ROW][C]0.52[/C][C]1.44230650510856[/C][C]0.0239869041691057[/C][/ROW]
[ROW][C]0.53[/C][C]1.44728751697578[/C][C]0.0237421170044934[/C][/ROW]
[ROW][C]0.54[/C][C]1.45222100799848[/C][C]0.0234298974067023[/C][/ROW]
[ROW][C]0.55[/C][C]1.45709757927436[/C][C]0.0230817585369014[/C][/ROW]
[ROW][C]0.56[/C][C]1.46191299392825[/C][C]0.0227224220207387[/C][/ROW]
[ROW][C]0.57[/C][C]1.46666657289134[/C][C]0.0223695837428163[/C][/ROW]
[ROW][C]0.58[/C][C]1.47135894042631[/C][C]0.0220245922706667[/C][/ROW]
[ROW][C]0.59[/C][C]1.47598949092603[/C][C]0.0216759201869403[/C][/ROW]
[ROW][C]0.6[/C][C]1.48055405597471[/C][C]0.0212992491800960[/C][/ROW]
[ROW][C]0.61[/C][C]1.48504327448215[/C][C]0.0208644944447732[/C][/ROW]
[ROW][C]0.62[/C][C]1.48944208858757[/C][C]0.02034075793476[/C][/ROW]
[ROW][C]0.63[/C][C]1.49373060670675[/C][C]0.0197046709453584[/C][/ROW]
[ROW][C]0.64[/C][C]1.49788632178763[/C][C]0.0189481951715681[/C][/ROW]
[ROW][C]0.65[/C][C]1.50188739860826[/C][C]0.0180794903823136[/C][/ROW]
[ROW][C]0.66[/C][C]1.50571651005706[/C][C]0.0171266827883974[/C][/ROW]
[ROW][C]0.67[/C][C]1.50936456461890[/C][C]0.0161404750194411[/C][/ROW]
[ROW][C]0.68[/C][C]1.51283366082381[/C][C]0.0151742484572103[/C][/ROW]
[ROW][C]0.69[/C][C]1.51613873334875[/C][C]0.0142970795646807[/C][/ROW]
[ROW][C]0.7[/C][C]1.51930759186031[/C][C]0.0135674901944849[/C][/ROW]
[ROW][C]0.71[/C][C]1.52237934539322[/C][C]0.0130355819596445[/C][/ROW]
[ROW][C]0.72[/C][C]1.52540148756409[/C][C]0.0127312360544068[/C][/ROW]
[ROW][C]0.73[/C][C]1.52842612364044[/C][C]0.012660707488295[/C][/ROW]
[ROW][C]0.74[/C][C]1.53150588483879[/C][C]0.0128114426637083[/C][/ROW]
[ROW][C]0.75[/C][C]1.53468994988924[/C][C]0.0131493998295781[/C][/ROW]
[ROW][C]0.76[/C][C]1.53802028173275[/C][C]0.0136289978713735[/C][/ROW]
[ROW][C]0.77[/C][C]1.54152779650686[/C][C]0.0141962739574382[/C][/ROW]
[ROW][C]0.78[/C][C]1.54522796006216[/C][C]0.0147838266943926[/C][/ROW]
[ROW][C]0.79[/C][C]1.54911558246282[/C][C]0.0153094258186969[/C][/ROW]
[ROW][C]0.8[/C][C]1.55315956356676[/C][C]0.0156722889829185[/C][/ROW]
[ROW][C]0.81[/C][C]1.55729983733081[/C][C]0.0157579050788398[/C][/ROW]
[ROW][C]0.82[/C][C]1.56144998461782[/C][C]0.0154645781750216[/C][/ROW]
[ROW][C]0.83[/C][C]1.5655087418459[/C][C]0.0147405863287255[/C][/ROW]
[ROW][C]0.84[/C][C]1.56938099265215[/C][C]0.0136228425763159[/C][/ROW]
[ROW][C]0.85[/C][C]1.57300404122401[/C][C]0.0122594679389964[/C][/ROW]
[ROW][C]0.86[/C][C]1.57637003874337[/C][C]0.0108928219333482[/C][/ROW]
[ROW][C]0.87[/C][C]1.57953369263235[/C][C]0.00979378127693422[/C][/ROW]
[ROW][C]0.88[/C][C]1.58259874865269[/C][C]0.00915510781536785[/C][/ROW]
[ROW][C]0.89[/C][C]1.58568723876441[/C][C]0.00897942923769592[/C][/ROW]
[ROW][C]0.9[/C][C]1.5889073640239[/C][C]0.00908735727261318[/C][/ROW]
[ROW][C]0.91[/C][C]1.59233997517616[/C][C]0.00926819040423084[/C][/ROW]
[ROW][C]0.92[/C][C]1.59605130431782[/C][C]0.0094422730494875[/C][/ROW]
[ROW][C]0.93[/C][C]1.60011318457970[/C][C]0.00968672089547122[/C][/ROW]
[ROW][C]0.94[/C][C]1.60459435093703[/C][C]0.0100346627621656[/C][/ROW]
[ROW][C]0.95[/C][C]1.60950906979520[/C][C]0.0102349650072435[/C][/ROW]
[ROW][C]0.96[/C][C]1.61475932173032[/C][C]0.00987686970545525[/C][/ROW]
[ROW][C]0.97[/C][C]1.62009004815351[/C][C]0.00883295693211788[/C][/ROW]
[ROW][C]0.98[/C][C]1.62497717402568[/C][C]0.0070216020234381[/C][/ROW]
[ROW][C]0.99[/C][C]1.62852548771284[/C][C]0.0037074572459956[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18798&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18798&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
0.011.291279095351330.00319055895520119
0.021.293991926596770.00493803986641533
0.031.297068390423420.00449781259757395
0.041.299752345594420.00401362059730525
0.051.302038573599280.00434961022452662
0.061.304173599972680.00486758528732789
0.071.306285062240150.00513708134377463
0.081.308375316303970.00524424313490418
0.091.310433660627220.00544942033305424
0.11.312490005219730.00588398619001977
0.111.314598383531310.00648389398066797
0.121.316801698252550.00712262766974167
0.131.319112854281970.0077005476529904
0.141.321516067621570.00816823461358069
0.151.323977410219330.00849456583727325
0.161.326455461793540.00866404641327832
0.171.328909745350770.0086783582869089
0.181.331308255650770.0085737657427536
0.191.333634702141000.00842889737559881
0.21.335893850493200.0083503120058218
0.211.338112308855710.00844571828387213
0.221.340333150543170.00877810832808461
0.231.342605116502490.00933800199041181
0.241.344969401739320.0100421859881152
0.251.347448098462120.0107626835440801
0.261.350037867028690.0113655847440907
0.271.352710663962960.0117499886897371
0.281.355421129755240.0118680110384655
0.291.358118340327040.0117318598208244
0.31.360758620361940.0114098377851244
0.311.363316176203240.0110221126181713
0.321.365789237035340.0106950484815694
0.331.368200783234440.0105579227889484
0.341.370594337856310.0106976842392360
0.351.373026347092180.0111561121760978
0.361.375557188514050.0119115029144420
0.371.378242799738260.0129077292442284
0.381.381128424856090.0140680827465330
0.391.384245224072790.0153178120300808
0.41.387609704974370.0165867249747952
0.411.391225310562250.0178244774703116
0.421.395085171228610.0189988623275836
0.431.399175031221490.0200878480614619
0.441.403475633303650.0210763972897642
0.451.407964256532190.0219489694113079
0.461.412615498556350.0226937887291709
0.471.417401654244630.0232950661329139
0.481.422293112887630.0237424819807026
0.491.427259096338270.0240285224964138
0.51.432268861094430.0241553136992192
0.511.437293273495340.0241353132336144
0.521.442306505108560.0239869041691057
0.531.447287516975780.0237421170044934
0.541.452221007998480.0234298974067023
0.551.457097579274360.0230817585369014
0.561.461912993928250.0227224220207387
0.571.466666572891340.0223695837428163
0.581.471358940426310.0220245922706667
0.591.475989490926030.0216759201869403
0.61.480554055974710.0212992491800960
0.611.485043274482150.0208644944447732
0.621.489442088587570.02034075793476
0.631.493730606706750.0197046709453584
0.641.497886321787630.0189481951715681
0.651.501887398608260.0180794903823136
0.661.505716510057060.0171266827883974
0.671.509364564618900.0161404750194411
0.681.512833660823810.0151742484572103
0.691.516138733348750.0142970795646807
0.71.519307591860310.0135674901944849
0.711.522379345393220.0130355819596445
0.721.525401487564090.0127312360544068
0.731.528426123640440.012660707488295
0.741.531505884838790.0128114426637083
0.751.534689949889240.0131493998295781
0.761.538020281732750.0136289978713735
0.771.541527796506860.0141962739574382
0.781.545227960062160.0147838266943926
0.791.549115582462820.0153094258186969
0.81.553159563566760.0156722889829185
0.811.557299837330810.0157579050788398
0.821.561449984617820.0154645781750216
0.831.56550874184590.0147405863287255
0.841.569380992652150.0136228425763159
0.851.573004041224010.0122594679389964
0.861.576370038743370.0108928219333482
0.871.579533692632350.00979378127693422
0.881.582598748652690.00915510781536785
0.891.585687238764410.00897942923769592
0.91.58890736402390.00908735727261318
0.911.592339975176160.00926819040423084
0.921.596051304317820.0094422730494875
0.931.600113184579700.00968672089547122
0.941.604594350937030.0100346627621656
0.951.609509069795200.0102349650072435
0.961.614759321730320.00987686970545525
0.971.620090048153510.00883295693211788
0.981.624977174025680.0070216020234381
0.991.628525487712840.0037074572459956



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')