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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 16 Jan 2008 04:01:15 -0700
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/Jan/16/t1200481117pdw7je81hxi7git.htm/, Retrieved Wed, 15 May 2024 04:48:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7978, Retrieved Wed, 15 May 2024 04:48:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact268
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2008-01-16 11:01:15] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
0.88
0.87
0.88
0.89
0.92
0.96
0.99
0.98
0.98
0.98
1.00
1.02
1.06
1.08
1.08
1.08
1.16
1.17
1.14
1.11
1.12
1.17
1.17
1.23
1.26
1.26
1.23
1.20
1.20
1.21
1.23
1.22
1.22
1.25
1.30
1.34
1.31
1.30
1.32
1.29
1.27
1.22
1.20
1.23
1.23
1.20
1.18
1.19
1.21
1.19
1.20
1.23
1.28
1.27
1.27
1.28
1.27
1.26
1.29
1.32




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7978&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7978&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7978&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.8724199554463020.00888823341531355
0.020.8764490271708390.00950645982729783
0.030.8817666728103240.0135320135788295
0.040.8884423795684330.0199802223816178
0.050.8966517726997280.0269299320438160
0.060.9063460011000960.0327830793867655
0.070.9171587752960450.0365423186777238
0.080.9285181964562270.0379200185563041
0.090.9398309587075240.0372654195485563
0.10.9506366170238260.0353507952547822
0.110.9606877166828480.0331150770705688
0.120.9699549567787520.0314249910511472
0.130.9785789603126850.0308717367554622
0.140.9867966701883250.0316334588749436
0.150.9948670447486580.0334991346824636
0.161.003012685111410.0360378890537668
0.171.011385054507710.038784082401304
0.181.020053422085780.04134424969251
0.191.029012669160050.0434493542438167
0.21.038202751071400.0449586838387405
0.211.047532454994970.0458546517653903
0.221.056901439345220.0462043584869212
0.231.066216669993000.0461289841773936
0.241.075401660420710.0457545500410876
0.251.084398900744290.0451817286708508
0.261.093167220797600.0444685379517776
0.271.101676455129890.043625894492639
0.281.109901713535880.0426288703942391
0.291.117818991234960.041439780927551
0.31.125403028753840.0400239018310159
0.311.132627504169620.0383691228197369
0.321.139467003893440.0364877134611958
0.331.145899876818500.0344190090443567
0.341.151911040125470.0322237547697497
0.351.157494008108670.0299689258933522
0.361.162651751181770.0277265333852626
0.371.167396347669770.0255565746655339
0.381.171747675208720.0235050736923128
0.391.175731549116440.0216035148145338
0.41.179377741290820.0198675905391136
0.411.182718228963590.018298935914846
0.421.185785873070000.0169012413927158
0.431.188613562120950.0156686456441909
0.441.191233723083970.0146009547316275
0.451.193678023772660.0137012926830168
0.461.195977080293880.0129689045310370
0.471.198160029433330.0124016229086623
0.481.200253908562610.0119928454346421
0.491.202282878703500.0117250559907783
0.51.204267405464820.0115721576158483
0.511.206223560159770.0115019151473110
0.521.208162611380560.0114777144835761
0.531.210091046845600.0114649700005153
0.541.212011104854500.0114361233795589
0.551.213921816632630.0113699904341324
0.561.215820478513640.0112603625947397
0.571.217704398127120.0111104308123754
0.581.219572700874500.0109383271287569
0.591.221427948961730.0107730092161308
0.61.223277320377430.0106506875688024
0.611.225133123418880.0106124899507966
0.621.227012485823220.0106950940852306
0.631.228936155017520.0109257151313742
0.641.230926470664690.0113140978206040
0.651.233004708515980.0118421901121589
0.661.235188124330610.0124717137022963
0.671.237487122466290.0131456498117389
0.681.239903010592550.0137945431806899
0.691.242426762309290.0143463723898784
0.71.245039089628450.0147383385097188
0.711.247711940985690.0149213133384852
0.721.250411317562270.0148677266408342
0.731.253101081311850.0145769659675569
0.741.255747253321470.0140735795982114
0.751.258322203588480.0134068749242730
0.761.260808130259620.0126416997925223
0.771.263199317772380.0118554635801089
0.781.265502834226060.0111259344968738
0.791.267737554011610.0105213579545927
0.81.269931642780560.0100916521223807
0.811.272118886958000.00985836565579257
0.821.274334457143280.00981089305432864
0.831.276610831548790.00991098612061284
0.841.278974640386660.0101027160914538
0.851.281445094097970.0103263081481297
0.861.284034396182640.0105315273900078
0.871.286750083979290.0106867705534976
0.881.289598579365920.0107851387853384
0.891.292588458918280.0108425356223404
0.91.295731428563190.0108877335810771
0.911.299039532721890.0109409121798604
0.921.302519976446010.0109782259827178
0.931.306174775481440.0109095867986777
0.941.31001861022420.0106089540824194
0.951.314124273439280.0100449727380375
0.961.318671844750340.0095411871401022
0.971.323905897672370.010035879844583
0.981.329851397163920.0124799046252257
0.991.335786258182760.0163583300985977

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.872419955446302 & 0.00888823341531355 \tabularnewline
0.02 & 0.876449027170839 & 0.00950645982729783 \tabularnewline
0.03 & 0.881766672810324 & 0.0135320135788295 \tabularnewline
0.04 & 0.888442379568433 & 0.0199802223816178 \tabularnewline
0.05 & 0.896651772699728 & 0.0269299320438160 \tabularnewline
0.06 & 0.906346001100096 & 0.0327830793867655 \tabularnewline
0.07 & 0.917158775296045 & 0.0365423186777238 \tabularnewline
0.08 & 0.928518196456227 & 0.0379200185563041 \tabularnewline
0.09 & 0.939830958707524 & 0.0372654195485563 \tabularnewline
0.1 & 0.950636617023826 & 0.0353507952547822 \tabularnewline
0.11 & 0.960687716682848 & 0.0331150770705688 \tabularnewline
0.12 & 0.969954956778752 & 0.0314249910511472 \tabularnewline
0.13 & 0.978578960312685 & 0.0308717367554622 \tabularnewline
0.14 & 0.986796670188325 & 0.0316334588749436 \tabularnewline
0.15 & 0.994867044748658 & 0.0334991346824636 \tabularnewline
0.16 & 1.00301268511141 & 0.0360378890537668 \tabularnewline
0.17 & 1.01138505450771 & 0.038784082401304 \tabularnewline
0.18 & 1.02005342208578 & 0.04134424969251 \tabularnewline
0.19 & 1.02901266916005 & 0.0434493542438167 \tabularnewline
0.2 & 1.03820275107140 & 0.0449586838387405 \tabularnewline
0.21 & 1.04753245499497 & 0.0458546517653903 \tabularnewline
0.22 & 1.05690143934522 & 0.0462043584869212 \tabularnewline
0.23 & 1.06621666999300 & 0.0461289841773936 \tabularnewline
0.24 & 1.07540166042071 & 0.0457545500410876 \tabularnewline
0.25 & 1.08439890074429 & 0.0451817286708508 \tabularnewline
0.26 & 1.09316722079760 & 0.0444685379517776 \tabularnewline
0.27 & 1.10167645512989 & 0.043625894492639 \tabularnewline
0.28 & 1.10990171353588 & 0.0426288703942391 \tabularnewline
0.29 & 1.11781899123496 & 0.041439780927551 \tabularnewline
0.3 & 1.12540302875384 & 0.0400239018310159 \tabularnewline
0.31 & 1.13262750416962 & 0.0383691228197369 \tabularnewline
0.32 & 1.13946700389344 & 0.0364877134611958 \tabularnewline
0.33 & 1.14589987681850 & 0.0344190090443567 \tabularnewline
0.34 & 1.15191104012547 & 0.0322237547697497 \tabularnewline
0.35 & 1.15749400810867 & 0.0299689258933522 \tabularnewline
0.36 & 1.16265175118177 & 0.0277265333852626 \tabularnewline
0.37 & 1.16739634766977 & 0.0255565746655339 \tabularnewline
0.38 & 1.17174767520872 & 0.0235050736923128 \tabularnewline
0.39 & 1.17573154911644 & 0.0216035148145338 \tabularnewline
0.4 & 1.17937774129082 & 0.0198675905391136 \tabularnewline
0.41 & 1.18271822896359 & 0.018298935914846 \tabularnewline
0.42 & 1.18578587307000 & 0.0169012413927158 \tabularnewline
0.43 & 1.18861356212095 & 0.0156686456441909 \tabularnewline
0.44 & 1.19123372308397 & 0.0146009547316275 \tabularnewline
0.45 & 1.19367802377266 & 0.0137012926830168 \tabularnewline
0.46 & 1.19597708029388 & 0.0129689045310370 \tabularnewline
0.47 & 1.19816002943333 & 0.0124016229086623 \tabularnewline
0.48 & 1.20025390856261 & 0.0119928454346421 \tabularnewline
0.49 & 1.20228287870350 & 0.0117250559907783 \tabularnewline
0.5 & 1.20426740546482 & 0.0115721576158483 \tabularnewline
0.51 & 1.20622356015977 & 0.0115019151473110 \tabularnewline
0.52 & 1.20816261138056 & 0.0114777144835761 \tabularnewline
0.53 & 1.21009104684560 & 0.0114649700005153 \tabularnewline
0.54 & 1.21201110485450 & 0.0114361233795589 \tabularnewline
0.55 & 1.21392181663263 & 0.0113699904341324 \tabularnewline
0.56 & 1.21582047851364 & 0.0112603625947397 \tabularnewline
0.57 & 1.21770439812712 & 0.0111104308123754 \tabularnewline
0.58 & 1.21957270087450 & 0.0109383271287569 \tabularnewline
0.59 & 1.22142794896173 & 0.0107730092161308 \tabularnewline
0.6 & 1.22327732037743 & 0.0106506875688024 \tabularnewline
0.61 & 1.22513312341888 & 0.0106124899507966 \tabularnewline
0.62 & 1.22701248582322 & 0.0106950940852306 \tabularnewline
0.63 & 1.22893615501752 & 0.0109257151313742 \tabularnewline
0.64 & 1.23092647066469 & 0.0113140978206040 \tabularnewline
0.65 & 1.23300470851598 & 0.0118421901121589 \tabularnewline
0.66 & 1.23518812433061 & 0.0124717137022963 \tabularnewline
0.67 & 1.23748712246629 & 0.0131456498117389 \tabularnewline
0.68 & 1.23990301059255 & 0.0137945431806899 \tabularnewline
0.69 & 1.24242676230929 & 0.0143463723898784 \tabularnewline
0.7 & 1.24503908962845 & 0.0147383385097188 \tabularnewline
0.71 & 1.24771194098569 & 0.0149213133384852 \tabularnewline
0.72 & 1.25041131756227 & 0.0148677266408342 \tabularnewline
0.73 & 1.25310108131185 & 0.0145769659675569 \tabularnewline
0.74 & 1.25574725332147 & 0.0140735795982114 \tabularnewline
0.75 & 1.25832220358848 & 0.0134068749242730 \tabularnewline
0.76 & 1.26080813025962 & 0.0126416997925223 \tabularnewline
0.77 & 1.26319931777238 & 0.0118554635801089 \tabularnewline
0.78 & 1.26550283422606 & 0.0111259344968738 \tabularnewline
0.79 & 1.26773755401161 & 0.0105213579545927 \tabularnewline
0.8 & 1.26993164278056 & 0.0100916521223807 \tabularnewline
0.81 & 1.27211888695800 & 0.00985836565579257 \tabularnewline
0.82 & 1.27433445714328 & 0.00981089305432864 \tabularnewline
0.83 & 1.27661083154879 & 0.00991098612061284 \tabularnewline
0.84 & 1.27897464038666 & 0.0101027160914538 \tabularnewline
0.85 & 1.28144509409797 & 0.0103263081481297 \tabularnewline
0.86 & 1.28403439618264 & 0.0105315273900078 \tabularnewline
0.87 & 1.28675008397929 & 0.0106867705534976 \tabularnewline
0.88 & 1.28959857936592 & 0.0107851387853384 \tabularnewline
0.89 & 1.29258845891828 & 0.0108425356223404 \tabularnewline
0.9 & 1.29573142856319 & 0.0108877335810771 \tabularnewline
0.91 & 1.29903953272189 & 0.0109409121798604 \tabularnewline
0.92 & 1.30251997644601 & 0.0109782259827178 \tabularnewline
0.93 & 1.30617477548144 & 0.0109095867986777 \tabularnewline
0.94 & 1.3100186102242 & 0.0106089540824194 \tabularnewline
0.95 & 1.31412427343928 & 0.0100449727380375 \tabularnewline
0.96 & 1.31867184475034 & 0.0095411871401022 \tabularnewline
0.97 & 1.32390589767237 & 0.010035879844583 \tabularnewline
0.98 & 1.32985139716392 & 0.0124799046252257 \tabularnewline
0.99 & 1.33578625818276 & 0.0163583300985977 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7978&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]0.872419955446302[/C][C]0.00888823341531355[/C][/ROW]
[ROW][C]0.02[/C][C]0.876449027170839[/C][C]0.00950645982729783[/C][/ROW]
[ROW][C]0.03[/C][C]0.881766672810324[/C][C]0.0135320135788295[/C][/ROW]
[ROW][C]0.04[/C][C]0.888442379568433[/C][C]0.0199802223816178[/C][/ROW]
[ROW][C]0.05[/C][C]0.896651772699728[/C][C]0.0269299320438160[/C][/ROW]
[ROW][C]0.06[/C][C]0.906346001100096[/C][C]0.0327830793867655[/C][/ROW]
[ROW][C]0.07[/C][C]0.917158775296045[/C][C]0.0365423186777238[/C][/ROW]
[ROW][C]0.08[/C][C]0.928518196456227[/C][C]0.0379200185563041[/C][/ROW]
[ROW][C]0.09[/C][C]0.939830958707524[/C][C]0.0372654195485563[/C][/ROW]
[ROW][C]0.1[/C][C]0.950636617023826[/C][C]0.0353507952547822[/C][/ROW]
[ROW][C]0.11[/C][C]0.960687716682848[/C][C]0.0331150770705688[/C][/ROW]
[ROW][C]0.12[/C][C]0.969954956778752[/C][C]0.0314249910511472[/C][/ROW]
[ROW][C]0.13[/C][C]0.978578960312685[/C][C]0.0308717367554622[/C][/ROW]
[ROW][C]0.14[/C][C]0.986796670188325[/C][C]0.0316334588749436[/C][/ROW]
[ROW][C]0.15[/C][C]0.994867044748658[/C][C]0.0334991346824636[/C][/ROW]
[ROW][C]0.16[/C][C]1.00301268511141[/C][C]0.0360378890537668[/C][/ROW]
[ROW][C]0.17[/C][C]1.01138505450771[/C][C]0.038784082401304[/C][/ROW]
[ROW][C]0.18[/C][C]1.02005342208578[/C][C]0.04134424969251[/C][/ROW]
[ROW][C]0.19[/C][C]1.02901266916005[/C][C]0.0434493542438167[/C][/ROW]
[ROW][C]0.2[/C][C]1.03820275107140[/C][C]0.0449586838387405[/C][/ROW]
[ROW][C]0.21[/C][C]1.04753245499497[/C][C]0.0458546517653903[/C][/ROW]
[ROW][C]0.22[/C][C]1.05690143934522[/C][C]0.0462043584869212[/C][/ROW]
[ROW][C]0.23[/C][C]1.06621666999300[/C][C]0.0461289841773936[/C][/ROW]
[ROW][C]0.24[/C][C]1.07540166042071[/C][C]0.0457545500410876[/C][/ROW]
[ROW][C]0.25[/C][C]1.08439890074429[/C][C]0.0451817286708508[/C][/ROW]
[ROW][C]0.26[/C][C]1.09316722079760[/C][C]0.0444685379517776[/C][/ROW]
[ROW][C]0.27[/C][C]1.10167645512989[/C][C]0.043625894492639[/C][/ROW]
[ROW][C]0.28[/C][C]1.10990171353588[/C][C]0.0426288703942391[/C][/ROW]
[ROW][C]0.29[/C][C]1.11781899123496[/C][C]0.041439780927551[/C][/ROW]
[ROW][C]0.3[/C][C]1.12540302875384[/C][C]0.0400239018310159[/C][/ROW]
[ROW][C]0.31[/C][C]1.13262750416962[/C][C]0.0383691228197369[/C][/ROW]
[ROW][C]0.32[/C][C]1.13946700389344[/C][C]0.0364877134611958[/C][/ROW]
[ROW][C]0.33[/C][C]1.14589987681850[/C][C]0.0344190090443567[/C][/ROW]
[ROW][C]0.34[/C][C]1.15191104012547[/C][C]0.0322237547697497[/C][/ROW]
[ROW][C]0.35[/C][C]1.15749400810867[/C][C]0.0299689258933522[/C][/ROW]
[ROW][C]0.36[/C][C]1.16265175118177[/C][C]0.0277265333852626[/C][/ROW]
[ROW][C]0.37[/C][C]1.16739634766977[/C][C]0.0255565746655339[/C][/ROW]
[ROW][C]0.38[/C][C]1.17174767520872[/C][C]0.0235050736923128[/C][/ROW]
[ROW][C]0.39[/C][C]1.17573154911644[/C][C]0.0216035148145338[/C][/ROW]
[ROW][C]0.4[/C][C]1.17937774129082[/C][C]0.0198675905391136[/C][/ROW]
[ROW][C]0.41[/C][C]1.18271822896359[/C][C]0.018298935914846[/C][/ROW]
[ROW][C]0.42[/C][C]1.18578587307000[/C][C]0.0169012413927158[/C][/ROW]
[ROW][C]0.43[/C][C]1.18861356212095[/C][C]0.0156686456441909[/C][/ROW]
[ROW][C]0.44[/C][C]1.19123372308397[/C][C]0.0146009547316275[/C][/ROW]
[ROW][C]0.45[/C][C]1.19367802377266[/C][C]0.0137012926830168[/C][/ROW]
[ROW][C]0.46[/C][C]1.19597708029388[/C][C]0.0129689045310370[/C][/ROW]
[ROW][C]0.47[/C][C]1.19816002943333[/C][C]0.0124016229086623[/C][/ROW]
[ROW][C]0.48[/C][C]1.20025390856261[/C][C]0.0119928454346421[/C][/ROW]
[ROW][C]0.49[/C][C]1.20228287870350[/C][C]0.0117250559907783[/C][/ROW]
[ROW][C]0.5[/C][C]1.20426740546482[/C][C]0.0115721576158483[/C][/ROW]
[ROW][C]0.51[/C][C]1.20622356015977[/C][C]0.0115019151473110[/C][/ROW]
[ROW][C]0.52[/C][C]1.20816261138056[/C][C]0.0114777144835761[/C][/ROW]
[ROW][C]0.53[/C][C]1.21009104684560[/C][C]0.0114649700005153[/C][/ROW]
[ROW][C]0.54[/C][C]1.21201110485450[/C][C]0.0114361233795589[/C][/ROW]
[ROW][C]0.55[/C][C]1.21392181663263[/C][C]0.0113699904341324[/C][/ROW]
[ROW][C]0.56[/C][C]1.21582047851364[/C][C]0.0112603625947397[/C][/ROW]
[ROW][C]0.57[/C][C]1.21770439812712[/C][C]0.0111104308123754[/C][/ROW]
[ROW][C]0.58[/C][C]1.21957270087450[/C][C]0.0109383271287569[/C][/ROW]
[ROW][C]0.59[/C][C]1.22142794896173[/C][C]0.0107730092161308[/C][/ROW]
[ROW][C]0.6[/C][C]1.22327732037743[/C][C]0.0106506875688024[/C][/ROW]
[ROW][C]0.61[/C][C]1.22513312341888[/C][C]0.0106124899507966[/C][/ROW]
[ROW][C]0.62[/C][C]1.22701248582322[/C][C]0.0106950940852306[/C][/ROW]
[ROW][C]0.63[/C][C]1.22893615501752[/C][C]0.0109257151313742[/C][/ROW]
[ROW][C]0.64[/C][C]1.23092647066469[/C][C]0.0113140978206040[/C][/ROW]
[ROW][C]0.65[/C][C]1.23300470851598[/C][C]0.0118421901121589[/C][/ROW]
[ROW][C]0.66[/C][C]1.23518812433061[/C][C]0.0124717137022963[/C][/ROW]
[ROW][C]0.67[/C][C]1.23748712246629[/C][C]0.0131456498117389[/C][/ROW]
[ROW][C]0.68[/C][C]1.23990301059255[/C][C]0.0137945431806899[/C][/ROW]
[ROW][C]0.69[/C][C]1.24242676230929[/C][C]0.0143463723898784[/C][/ROW]
[ROW][C]0.7[/C][C]1.24503908962845[/C][C]0.0147383385097188[/C][/ROW]
[ROW][C]0.71[/C][C]1.24771194098569[/C][C]0.0149213133384852[/C][/ROW]
[ROW][C]0.72[/C][C]1.25041131756227[/C][C]0.0148677266408342[/C][/ROW]
[ROW][C]0.73[/C][C]1.25310108131185[/C][C]0.0145769659675569[/C][/ROW]
[ROW][C]0.74[/C][C]1.25574725332147[/C][C]0.0140735795982114[/C][/ROW]
[ROW][C]0.75[/C][C]1.25832220358848[/C][C]0.0134068749242730[/C][/ROW]
[ROW][C]0.76[/C][C]1.26080813025962[/C][C]0.0126416997925223[/C][/ROW]
[ROW][C]0.77[/C][C]1.26319931777238[/C][C]0.0118554635801089[/C][/ROW]
[ROW][C]0.78[/C][C]1.26550283422606[/C][C]0.0111259344968738[/C][/ROW]
[ROW][C]0.79[/C][C]1.26773755401161[/C][C]0.0105213579545927[/C][/ROW]
[ROW][C]0.8[/C][C]1.26993164278056[/C][C]0.0100916521223807[/C][/ROW]
[ROW][C]0.81[/C][C]1.27211888695800[/C][C]0.00985836565579257[/C][/ROW]
[ROW][C]0.82[/C][C]1.27433445714328[/C][C]0.00981089305432864[/C][/ROW]
[ROW][C]0.83[/C][C]1.27661083154879[/C][C]0.00991098612061284[/C][/ROW]
[ROW][C]0.84[/C][C]1.27897464038666[/C][C]0.0101027160914538[/C][/ROW]
[ROW][C]0.85[/C][C]1.28144509409797[/C][C]0.0103263081481297[/C][/ROW]
[ROW][C]0.86[/C][C]1.28403439618264[/C][C]0.0105315273900078[/C][/ROW]
[ROW][C]0.87[/C][C]1.28675008397929[/C][C]0.0106867705534976[/C][/ROW]
[ROW][C]0.88[/C][C]1.28959857936592[/C][C]0.0107851387853384[/C][/ROW]
[ROW][C]0.89[/C][C]1.29258845891828[/C][C]0.0108425356223404[/C][/ROW]
[ROW][C]0.9[/C][C]1.29573142856319[/C][C]0.0108877335810771[/C][/ROW]
[ROW][C]0.91[/C][C]1.29903953272189[/C][C]0.0109409121798604[/C][/ROW]
[ROW][C]0.92[/C][C]1.30251997644601[/C][C]0.0109782259827178[/C][/ROW]
[ROW][C]0.93[/C][C]1.30617477548144[/C][C]0.0109095867986777[/C][/ROW]
[ROW][C]0.94[/C][C]1.3100186102242[/C][C]0.0106089540824194[/C][/ROW]
[ROW][C]0.95[/C][C]1.31412427343928[/C][C]0.0100449727380375[/C][/ROW]
[ROW][C]0.96[/C][C]1.31867184475034[/C][C]0.0095411871401022[/C][/ROW]
[ROW][C]0.97[/C][C]1.32390589767237[/C][C]0.010035879844583[/C][/ROW]
[ROW][C]0.98[/C][C]1.32985139716392[/C][C]0.0124799046252257[/C][/ROW]
[ROW][C]0.99[/C][C]1.33578625818276[/C][C]0.0163583300985977[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7978&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7978&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
0.010.8724199554463020.00888823341531355
0.020.8764490271708390.00950645982729783
0.030.8817666728103240.0135320135788295
0.040.8884423795684330.0199802223816178
0.050.8966517726997280.0269299320438160
0.060.9063460011000960.0327830793867655
0.070.9171587752960450.0365423186777238
0.080.9285181964562270.0379200185563041
0.090.9398309587075240.0372654195485563
0.10.9506366170238260.0353507952547822
0.110.9606877166828480.0331150770705688
0.120.9699549567787520.0314249910511472
0.130.9785789603126850.0308717367554622
0.140.9867966701883250.0316334588749436
0.150.9948670447486580.0334991346824636
0.161.003012685111410.0360378890537668
0.171.011385054507710.038784082401304
0.181.020053422085780.04134424969251
0.191.029012669160050.0434493542438167
0.21.038202751071400.0449586838387405
0.211.047532454994970.0458546517653903
0.221.056901439345220.0462043584869212
0.231.066216669993000.0461289841773936
0.241.075401660420710.0457545500410876
0.251.084398900744290.0451817286708508
0.261.093167220797600.0444685379517776
0.271.101676455129890.043625894492639
0.281.109901713535880.0426288703942391
0.291.117818991234960.041439780927551
0.31.125403028753840.0400239018310159
0.311.132627504169620.0383691228197369
0.321.139467003893440.0364877134611958
0.331.145899876818500.0344190090443567
0.341.151911040125470.0322237547697497
0.351.157494008108670.0299689258933522
0.361.162651751181770.0277265333852626
0.371.167396347669770.0255565746655339
0.381.171747675208720.0235050736923128
0.391.175731549116440.0216035148145338
0.41.179377741290820.0198675905391136
0.411.182718228963590.018298935914846
0.421.185785873070000.0169012413927158
0.431.188613562120950.0156686456441909
0.441.191233723083970.0146009547316275
0.451.193678023772660.0137012926830168
0.461.195977080293880.0129689045310370
0.471.198160029433330.0124016229086623
0.481.200253908562610.0119928454346421
0.491.202282878703500.0117250559907783
0.51.204267405464820.0115721576158483
0.511.206223560159770.0115019151473110
0.521.208162611380560.0114777144835761
0.531.210091046845600.0114649700005153
0.541.212011104854500.0114361233795589
0.551.213921816632630.0113699904341324
0.561.215820478513640.0112603625947397
0.571.217704398127120.0111104308123754
0.581.219572700874500.0109383271287569
0.591.221427948961730.0107730092161308
0.61.223277320377430.0106506875688024
0.611.225133123418880.0106124899507966
0.621.227012485823220.0106950940852306
0.631.228936155017520.0109257151313742
0.641.230926470664690.0113140978206040
0.651.233004708515980.0118421901121589
0.661.235188124330610.0124717137022963
0.671.237487122466290.0131456498117389
0.681.239903010592550.0137945431806899
0.691.242426762309290.0143463723898784
0.71.245039089628450.0147383385097188
0.711.247711940985690.0149213133384852
0.721.250411317562270.0148677266408342
0.731.253101081311850.0145769659675569
0.741.255747253321470.0140735795982114
0.751.258322203588480.0134068749242730
0.761.260808130259620.0126416997925223
0.771.263199317772380.0118554635801089
0.781.265502834226060.0111259344968738
0.791.267737554011610.0105213579545927
0.81.269931642780560.0100916521223807
0.811.272118886958000.00985836565579257
0.821.274334457143280.00981089305432864
0.831.276610831548790.00991098612061284
0.841.278974640386660.0101027160914538
0.851.281445094097970.0103263081481297
0.861.284034396182640.0105315273900078
0.871.286750083979290.0106867705534976
0.881.289598579365920.0107851387853384
0.891.292588458918280.0108425356223404
0.91.295731428563190.0108877335810771
0.911.299039532721890.0109409121798604
0.921.302519976446010.0109782259827178
0.931.306174775481440.0109095867986777
0.941.31001861022420.0106089540824194
0.951.314124273439280.0100449727380375
0.961.318671844750340.0095411871401022
0.971.323905897672370.010035879844583
0.981.329851397163920.0124799046252257
0.991.335786258182760.0163583300985977



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')