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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 03 Oct 2013 05:10:56 -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/03/t1380791480oeagah8zujyr7nh.htm/, Retrieved Thu, 02 May 2024 11:28:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212809, Retrieved Thu, 02 May 2024 11:28:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2013-10-03 09:10:56] [c0e6f01d4b135ae08ae3a6e9fd8c4399] [Current]
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Dataseries X:
1.16
1.22
1.14
1.06
1.07
1.03
0.96
0.99
1.01
1.07
1.14
1.16
1.25
1.32
1.24
1.15
1.13
1.03
1.03
0.99
1.01
1.07
1.11
1.07
1.12
1.17
1.15
1.05
1.07
1.02
0.97
0.94
1.01
1.06
1.13
1.14
1.14
1.15
1.1
1.05
1.07
1.01
0.97
0.96
0.99
1.04
1.14
1.09
1.1
1.14
1.09
1.08
1.14
1.05
0.96
0.98
1.06
1.12
1.16
1.14
1.11
1.2
1.15
1.07
1.14
1.04
1.02
1
1.05
1.08
1.1
1.12
1.22
1.28
1.28
1.25
1.24
1.16
1.09
1.04
1.08
1.11
1.16
1.19




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212809&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212809&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212809&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 time2 seconds
R Server'George Udny Yule' @ yule.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.9461485717656510.0141447981859235
0.020.9535611484974360.00825650921500589
0.030.9592202340519530.00608543707339121
0.040.9634425369758930.00718349862590403
0.050.9673244464812230.0090534671654536
0.060.9714201778697210.0106188437717381
0.070.9757739908881430.0116376330927048
0.080.9802372648773990.0121571560286853
0.090.9846568537470210.0123312481497508
0.10.9889342510897160.0123225636275198
0.110.9930244404587480.0122371592783831
0.120.9969172335239470.012109986903509
0.131.000620250063370.0119499727121697
0.141.004149783991020.0117801247761542
0.151.007528201344860.0116505365513642
0.161.01078321904250.0116110872878588
0.171.013945356633870.0116772098240002
0.181.01704300790440.0118242182536539
0.191.020097137809110.0119986717898883
0.21.023118076000270.012145508666175
0.211.026105613297210.0122260397667401
0.221.02905191480150.0122265371728534
0.231.031945723512660.0121513960160134
0.241.034776255445120.0120202952230598
0.251.0375357697120.0118525298311004
0.261.040220530665940.0116698602211433
0.271.042830411710670.0114848632527314
0.281.045367626834760.0113055805634426
0.291.047835099116090.0111320183677133
0.31.050234910760690.0109549426645383
0.311.052567201827340.0107616092623797
0.321.054829800479970.0105347399968807
0.331.057018746305480.0102669559593324
0.341.059129690229610.00995738662600791
0.351.061159938665120.00961613117627237
0.361.063110711614490.00927556807906462
0.371.06498907298470.00897117861570944
0.381.066809015646920.00875251621102493
0.391.068591350752570.00865946429234343
0.41.070362319965180.00872351694609532
0.411.072151146133080.0089546220906318
0.421.073986979765560.00934085258709992
0.431.075895821695710.00984898879208186
0.441.077897980669960.0104350923624834
0.451.080006475273790.0110543479082123
0.461.082226562941420.0116649314869233
0.471.08455633960390.0122321952665775
0.481.086988160137710.0127315200590604
0.491.08951051837310.0131534007905967
0.51.092110003964150.0134965324484548
0.511.094773005515580.013763534644057
0.521.097486925042340.0139657243130029
0.531.100240777319870.0141159771620719
0.541.103025147354960.0142217550277183
0.551.105831561843930.0142880722433555
0.561.108651399122380.0143132189422475
0.571.11147452424470.0142861985541141
0.581.114287895118820.0141907287297911
0.591.117074435663960.0140020479101571
0.61.119812495068290.0136967418572567
0.611.12247618436260.0132513240489137
0.621.125036782383630.0126517588108581
0.631.127465228009460.0118996725105035
0.641.129735483974270.0110123104879744
0.651.131828315132710.010029927141162
0.661.133734833807340.00900899586713015
0.671.135459090481180.00801769356418567
0.681.137019073123470.00713414087461521
0.691.138445728738030.00642877511995342
0.71.139779997172120.00595678483645898
0.711.14106827266850.00574452459858214
0.721.14235708858290.00577492783978119
0.731.143688071207630.00599753533394857
0.741.145094280405770.00634298842417454
0.751.146598940660190.00674607829003068
0.761.148217285639350.0071575686509294
0.771.14996180582960.00756220880277913
0.781.151850583048490.00798598830830099
0.791.153917579226270.0085036788906684
0.81.156222735852750.00924251261124105
0.811.158858721155080.0103528861824584
0.821.1619505712610.0119691303522823
0.831.165644931849660.0141383096542721
0.841.170087643431490.0167842043853574
0.851.175392016033150.0196863546742041
0.861.181604415366910.0225081177334271
0.871.188677057669350.0248525285176167
0.881.196458478735190.0263514177951735
0.891.204709394215070.0267532021435379
0.91.213146653868130.026000987087749
0.911.221512242021270.0242709558027001
0.921.229656919414360.0219758057815419
0.931.237615253274460.0197446810414164
0.941.245634152329270.0182932185353291
0.951.254135405812430.0179857357289495
0.961.263696355261720.0182979295416453
0.971.275205193190120.0186437269863349
0.981.289806817991270.0212813103243322
0.991.30689088866580.0299127480773489

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.946148571765651 & 0.0141447981859235 \tabularnewline
0.02 & 0.953561148497436 & 0.00825650921500589 \tabularnewline
0.03 & 0.959220234051953 & 0.00608543707339121 \tabularnewline
0.04 & 0.963442536975893 & 0.00718349862590403 \tabularnewline
0.05 & 0.967324446481223 & 0.0090534671654536 \tabularnewline
0.06 & 0.971420177869721 & 0.0106188437717381 \tabularnewline
0.07 & 0.975773990888143 & 0.0116376330927048 \tabularnewline
0.08 & 0.980237264877399 & 0.0121571560286853 \tabularnewline
0.09 & 0.984656853747021 & 0.0123312481497508 \tabularnewline
0.1 & 0.988934251089716 & 0.0123225636275198 \tabularnewline
0.11 & 0.993024440458748 & 0.0122371592783831 \tabularnewline
0.12 & 0.996917233523947 & 0.012109986903509 \tabularnewline
0.13 & 1.00062025006337 & 0.0119499727121697 \tabularnewline
0.14 & 1.00414978399102 & 0.0117801247761542 \tabularnewline
0.15 & 1.00752820134486 & 0.0116505365513642 \tabularnewline
0.16 & 1.0107832190425 & 0.0116110872878588 \tabularnewline
0.17 & 1.01394535663387 & 0.0116772098240002 \tabularnewline
0.18 & 1.0170430079044 & 0.0118242182536539 \tabularnewline
0.19 & 1.02009713780911 & 0.0119986717898883 \tabularnewline
0.2 & 1.02311807600027 & 0.012145508666175 \tabularnewline
0.21 & 1.02610561329721 & 0.0122260397667401 \tabularnewline
0.22 & 1.0290519148015 & 0.0122265371728534 \tabularnewline
0.23 & 1.03194572351266 & 0.0121513960160134 \tabularnewline
0.24 & 1.03477625544512 & 0.0120202952230598 \tabularnewline
0.25 & 1.037535769712 & 0.0118525298311004 \tabularnewline
0.26 & 1.04022053066594 & 0.0116698602211433 \tabularnewline
0.27 & 1.04283041171067 & 0.0114848632527314 \tabularnewline
0.28 & 1.04536762683476 & 0.0113055805634426 \tabularnewline
0.29 & 1.04783509911609 & 0.0111320183677133 \tabularnewline
0.3 & 1.05023491076069 & 0.0109549426645383 \tabularnewline
0.31 & 1.05256720182734 & 0.0107616092623797 \tabularnewline
0.32 & 1.05482980047997 & 0.0105347399968807 \tabularnewline
0.33 & 1.05701874630548 & 0.0102669559593324 \tabularnewline
0.34 & 1.05912969022961 & 0.00995738662600791 \tabularnewline
0.35 & 1.06115993866512 & 0.00961613117627237 \tabularnewline
0.36 & 1.06311071161449 & 0.00927556807906462 \tabularnewline
0.37 & 1.0649890729847 & 0.00897117861570944 \tabularnewline
0.38 & 1.06680901564692 & 0.00875251621102493 \tabularnewline
0.39 & 1.06859135075257 & 0.00865946429234343 \tabularnewline
0.4 & 1.07036231996518 & 0.00872351694609532 \tabularnewline
0.41 & 1.07215114613308 & 0.0089546220906318 \tabularnewline
0.42 & 1.07398697976556 & 0.00934085258709992 \tabularnewline
0.43 & 1.07589582169571 & 0.00984898879208186 \tabularnewline
0.44 & 1.07789798066996 & 0.0104350923624834 \tabularnewline
0.45 & 1.08000647527379 & 0.0110543479082123 \tabularnewline
0.46 & 1.08222656294142 & 0.0116649314869233 \tabularnewline
0.47 & 1.0845563396039 & 0.0122321952665775 \tabularnewline
0.48 & 1.08698816013771 & 0.0127315200590604 \tabularnewline
0.49 & 1.0895105183731 & 0.0131534007905967 \tabularnewline
0.5 & 1.09211000396415 & 0.0134965324484548 \tabularnewline
0.51 & 1.09477300551558 & 0.013763534644057 \tabularnewline
0.52 & 1.09748692504234 & 0.0139657243130029 \tabularnewline
0.53 & 1.10024077731987 & 0.0141159771620719 \tabularnewline
0.54 & 1.10302514735496 & 0.0142217550277183 \tabularnewline
0.55 & 1.10583156184393 & 0.0142880722433555 \tabularnewline
0.56 & 1.10865139912238 & 0.0143132189422475 \tabularnewline
0.57 & 1.1114745242447 & 0.0142861985541141 \tabularnewline
0.58 & 1.11428789511882 & 0.0141907287297911 \tabularnewline
0.59 & 1.11707443566396 & 0.0140020479101571 \tabularnewline
0.6 & 1.11981249506829 & 0.0136967418572567 \tabularnewline
0.61 & 1.1224761843626 & 0.0132513240489137 \tabularnewline
0.62 & 1.12503678238363 & 0.0126517588108581 \tabularnewline
0.63 & 1.12746522800946 & 0.0118996725105035 \tabularnewline
0.64 & 1.12973548397427 & 0.0110123104879744 \tabularnewline
0.65 & 1.13182831513271 & 0.010029927141162 \tabularnewline
0.66 & 1.13373483380734 & 0.00900899586713015 \tabularnewline
0.67 & 1.13545909048118 & 0.00801769356418567 \tabularnewline
0.68 & 1.13701907312347 & 0.00713414087461521 \tabularnewline
0.69 & 1.13844572873803 & 0.00642877511995342 \tabularnewline
0.7 & 1.13977999717212 & 0.00595678483645898 \tabularnewline
0.71 & 1.1410682726685 & 0.00574452459858214 \tabularnewline
0.72 & 1.1423570885829 & 0.00577492783978119 \tabularnewline
0.73 & 1.14368807120763 & 0.00599753533394857 \tabularnewline
0.74 & 1.14509428040577 & 0.00634298842417454 \tabularnewline
0.75 & 1.14659894066019 & 0.00674607829003068 \tabularnewline
0.76 & 1.14821728563935 & 0.0071575686509294 \tabularnewline
0.77 & 1.1499618058296 & 0.00756220880277913 \tabularnewline
0.78 & 1.15185058304849 & 0.00798598830830099 \tabularnewline
0.79 & 1.15391757922627 & 0.0085036788906684 \tabularnewline
0.8 & 1.15622273585275 & 0.00924251261124105 \tabularnewline
0.81 & 1.15885872115508 & 0.0103528861824584 \tabularnewline
0.82 & 1.161950571261 & 0.0119691303522823 \tabularnewline
0.83 & 1.16564493184966 & 0.0141383096542721 \tabularnewline
0.84 & 1.17008764343149 & 0.0167842043853574 \tabularnewline
0.85 & 1.17539201603315 & 0.0196863546742041 \tabularnewline
0.86 & 1.18160441536691 & 0.0225081177334271 \tabularnewline
0.87 & 1.18867705766935 & 0.0248525285176167 \tabularnewline
0.88 & 1.19645847873519 & 0.0263514177951735 \tabularnewline
0.89 & 1.20470939421507 & 0.0267532021435379 \tabularnewline
0.9 & 1.21314665386813 & 0.026000987087749 \tabularnewline
0.91 & 1.22151224202127 & 0.0242709558027001 \tabularnewline
0.92 & 1.22965691941436 & 0.0219758057815419 \tabularnewline
0.93 & 1.23761525327446 & 0.0197446810414164 \tabularnewline
0.94 & 1.24563415232927 & 0.0182932185353291 \tabularnewline
0.95 & 1.25413540581243 & 0.0179857357289495 \tabularnewline
0.96 & 1.26369635526172 & 0.0182979295416453 \tabularnewline
0.97 & 1.27520519319012 & 0.0186437269863349 \tabularnewline
0.98 & 1.28980681799127 & 0.0212813103243322 \tabularnewline
0.99 & 1.3068908886658 & 0.0299127480773489 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212809&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]0.946148571765651[/C][C]0.0141447981859235[/C][/ROW]
[ROW][C]0.02[/C][C]0.953561148497436[/C][C]0.00825650921500589[/C][/ROW]
[ROW][C]0.03[/C][C]0.959220234051953[/C][C]0.00608543707339121[/C][/ROW]
[ROW][C]0.04[/C][C]0.963442536975893[/C][C]0.00718349862590403[/C][/ROW]
[ROW][C]0.05[/C][C]0.967324446481223[/C][C]0.0090534671654536[/C][/ROW]
[ROW][C]0.06[/C][C]0.971420177869721[/C][C]0.0106188437717381[/C][/ROW]
[ROW][C]0.07[/C][C]0.975773990888143[/C][C]0.0116376330927048[/C][/ROW]
[ROW][C]0.08[/C][C]0.980237264877399[/C][C]0.0121571560286853[/C][/ROW]
[ROW][C]0.09[/C][C]0.984656853747021[/C][C]0.0123312481497508[/C][/ROW]
[ROW][C]0.1[/C][C]0.988934251089716[/C][C]0.0123225636275198[/C][/ROW]
[ROW][C]0.11[/C][C]0.993024440458748[/C][C]0.0122371592783831[/C][/ROW]
[ROW][C]0.12[/C][C]0.996917233523947[/C][C]0.012109986903509[/C][/ROW]
[ROW][C]0.13[/C][C]1.00062025006337[/C][C]0.0119499727121697[/C][/ROW]
[ROW][C]0.14[/C][C]1.00414978399102[/C][C]0.0117801247761542[/C][/ROW]
[ROW][C]0.15[/C][C]1.00752820134486[/C][C]0.0116505365513642[/C][/ROW]
[ROW][C]0.16[/C][C]1.0107832190425[/C][C]0.0116110872878588[/C][/ROW]
[ROW][C]0.17[/C][C]1.01394535663387[/C][C]0.0116772098240002[/C][/ROW]
[ROW][C]0.18[/C][C]1.0170430079044[/C][C]0.0118242182536539[/C][/ROW]
[ROW][C]0.19[/C][C]1.02009713780911[/C][C]0.0119986717898883[/C][/ROW]
[ROW][C]0.2[/C][C]1.02311807600027[/C][C]0.012145508666175[/C][/ROW]
[ROW][C]0.21[/C][C]1.02610561329721[/C][C]0.0122260397667401[/C][/ROW]
[ROW][C]0.22[/C][C]1.0290519148015[/C][C]0.0122265371728534[/C][/ROW]
[ROW][C]0.23[/C][C]1.03194572351266[/C][C]0.0121513960160134[/C][/ROW]
[ROW][C]0.24[/C][C]1.03477625544512[/C][C]0.0120202952230598[/C][/ROW]
[ROW][C]0.25[/C][C]1.037535769712[/C][C]0.0118525298311004[/C][/ROW]
[ROW][C]0.26[/C][C]1.04022053066594[/C][C]0.0116698602211433[/C][/ROW]
[ROW][C]0.27[/C][C]1.04283041171067[/C][C]0.0114848632527314[/C][/ROW]
[ROW][C]0.28[/C][C]1.04536762683476[/C][C]0.0113055805634426[/C][/ROW]
[ROW][C]0.29[/C][C]1.04783509911609[/C][C]0.0111320183677133[/C][/ROW]
[ROW][C]0.3[/C][C]1.05023491076069[/C][C]0.0109549426645383[/C][/ROW]
[ROW][C]0.31[/C][C]1.05256720182734[/C][C]0.0107616092623797[/C][/ROW]
[ROW][C]0.32[/C][C]1.05482980047997[/C][C]0.0105347399968807[/C][/ROW]
[ROW][C]0.33[/C][C]1.05701874630548[/C][C]0.0102669559593324[/C][/ROW]
[ROW][C]0.34[/C][C]1.05912969022961[/C][C]0.00995738662600791[/C][/ROW]
[ROW][C]0.35[/C][C]1.06115993866512[/C][C]0.00961613117627237[/C][/ROW]
[ROW][C]0.36[/C][C]1.06311071161449[/C][C]0.00927556807906462[/C][/ROW]
[ROW][C]0.37[/C][C]1.0649890729847[/C][C]0.00897117861570944[/C][/ROW]
[ROW][C]0.38[/C][C]1.06680901564692[/C][C]0.00875251621102493[/C][/ROW]
[ROW][C]0.39[/C][C]1.06859135075257[/C][C]0.00865946429234343[/C][/ROW]
[ROW][C]0.4[/C][C]1.07036231996518[/C][C]0.00872351694609532[/C][/ROW]
[ROW][C]0.41[/C][C]1.07215114613308[/C][C]0.0089546220906318[/C][/ROW]
[ROW][C]0.42[/C][C]1.07398697976556[/C][C]0.00934085258709992[/C][/ROW]
[ROW][C]0.43[/C][C]1.07589582169571[/C][C]0.00984898879208186[/C][/ROW]
[ROW][C]0.44[/C][C]1.07789798066996[/C][C]0.0104350923624834[/C][/ROW]
[ROW][C]0.45[/C][C]1.08000647527379[/C][C]0.0110543479082123[/C][/ROW]
[ROW][C]0.46[/C][C]1.08222656294142[/C][C]0.0116649314869233[/C][/ROW]
[ROW][C]0.47[/C][C]1.0845563396039[/C][C]0.0122321952665775[/C][/ROW]
[ROW][C]0.48[/C][C]1.08698816013771[/C][C]0.0127315200590604[/C][/ROW]
[ROW][C]0.49[/C][C]1.0895105183731[/C][C]0.0131534007905967[/C][/ROW]
[ROW][C]0.5[/C][C]1.09211000396415[/C][C]0.0134965324484548[/C][/ROW]
[ROW][C]0.51[/C][C]1.09477300551558[/C][C]0.013763534644057[/C][/ROW]
[ROW][C]0.52[/C][C]1.09748692504234[/C][C]0.0139657243130029[/C][/ROW]
[ROW][C]0.53[/C][C]1.10024077731987[/C][C]0.0141159771620719[/C][/ROW]
[ROW][C]0.54[/C][C]1.10302514735496[/C][C]0.0142217550277183[/C][/ROW]
[ROW][C]0.55[/C][C]1.10583156184393[/C][C]0.0142880722433555[/C][/ROW]
[ROW][C]0.56[/C][C]1.10865139912238[/C][C]0.0143132189422475[/C][/ROW]
[ROW][C]0.57[/C][C]1.1114745242447[/C][C]0.0142861985541141[/C][/ROW]
[ROW][C]0.58[/C][C]1.11428789511882[/C][C]0.0141907287297911[/C][/ROW]
[ROW][C]0.59[/C][C]1.11707443566396[/C][C]0.0140020479101571[/C][/ROW]
[ROW][C]0.6[/C][C]1.11981249506829[/C][C]0.0136967418572567[/C][/ROW]
[ROW][C]0.61[/C][C]1.1224761843626[/C][C]0.0132513240489137[/C][/ROW]
[ROW][C]0.62[/C][C]1.12503678238363[/C][C]0.0126517588108581[/C][/ROW]
[ROW][C]0.63[/C][C]1.12746522800946[/C][C]0.0118996725105035[/C][/ROW]
[ROW][C]0.64[/C][C]1.12973548397427[/C][C]0.0110123104879744[/C][/ROW]
[ROW][C]0.65[/C][C]1.13182831513271[/C][C]0.010029927141162[/C][/ROW]
[ROW][C]0.66[/C][C]1.13373483380734[/C][C]0.00900899586713015[/C][/ROW]
[ROW][C]0.67[/C][C]1.13545909048118[/C][C]0.00801769356418567[/C][/ROW]
[ROW][C]0.68[/C][C]1.13701907312347[/C][C]0.00713414087461521[/C][/ROW]
[ROW][C]0.69[/C][C]1.13844572873803[/C][C]0.00642877511995342[/C][/ROW]
[ROW][C]0.7[/C][C]1.13977999717212[/C][C]0.00595678483645898[/C][/ROW]
[ROW][C]0.71[/C][C]1.1410682726685[/C][C]0.00574452459858214[/C][/ROW]
[ROW][C]0.72[/C][C]1.1423570885829[/C][C]0.00577492783978119[/C][/ROW]
[ROW][C]0.73[/C][C]1.14368807120763[/C][C]0.00599753533394857[/C][/ROW]
[ROW][C]0.74[/C][C]1.14509428040577[/C][C]0.00634298842417454[/C][/ROW]
[ROW][C]0.75[/C][C]1.14659894066019[/C][C]0.00674607829003068[/C][/ROW]
[ROW][C]0.76[/C][C]1.14821728563935[/C][C]0.0071575686509294[/C][/ROW]
[ROW][C]0.77[/C][C]1.1499618058296[/C][C]0.00756220880277913[/C][/ROW]
[ROW][C]0.78[/C][C]1.15185058304849[/C][C]0.00798598830830099[/C][/ROW]
[ROW][C]0.79[/C][C]1.15391757922627[/C][C]0.0085036788906684[/C][/ROW]
[ROW][C]0.8[/C][C]1.15622273585275[/C][C]0.00924251261124105[/C][/ROW]
[ROW][C]0.81[/C][C]1.15885872115508[/C][C]0.0103528861824584[/C][/ROW]
[ROW][C]0.82[/C][C]1.161950571261[/C][C]0.0119691303522823[/C][/ROW]
[ROW][C]0.83[/C][C]1.16564493184966[/C][C]0.0141383096542721[/C][/ROW]
[ROW][C]0.84[/C][C]1.17008764343149[/C][C]0.0167842043853574[/C][/ROW]
[ROW][C]0.85[/C][C]1.17539201603315[/C][C]0.0196863546742041[/C][/ROW]
[ROW][C]0.86[/C][C]1.18160441536691[/C][C]0.0225081177334271[/C][/ROW]
[ROW][C]0.87[/C][C]1.18867705766935[/C][C]0.0248525285176167[/C][/ROW]
[ROW][C]0.88[/C][C]1.19645847873519[/C][C]0.0263514177951735[/C][/ROW]
[ROW][C]0.89[/C][C]1.20470939421507[/C][C]0.0267532021435379[/C][/ROW]
[ROW][C]0.9[/C][C]1.21314665386813[/C][C]0.026000987087749[/C][/ROW]
[ROW][C]0.91[/C][C]1.22151224202127[/C][C]0.0242709558027001[/C][/ROW]
[ROW][C]0.92[/C][C]1.22965691941436[/C][C]0.0219758057815419[/C][/ROW]
[ROW][C]0.93[/C][C]1.23761525327446[/C][C]0.0197446810414164[/C][/ROW]
[ROW][C]0.94[/C][C]1.24563415232927[/C][C]0.0182932185353291[/C][/ROW]
[ROW][C]0.95[/C][C]1.25413540581243[/C][C]0.0179857357289495[/C][/ROW]
[ROW][C]0.96[/C][C]1.26369635526172[/C][C]0.0182979295416453[/C][/ROW]
[ROW][C]0.97[/C][C]1.27520519319012[/C][C]0.0186437269863349[/C][/ROW]
[ROW][C]0.98[/C][C]1.28980681799127[/C][C]0.0212813103243322[/C][/ROW]
[ROW][C]0.99[/C][C]1.3068908886658[/C][C]0.0299127480773489[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212809&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212809&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
0.010.9461485717656510.0141447981859235
0.020.9535611484974360.00825650921500589
0.030.9592202340519530.00608543707339121
0.040.9634425369758930.00718349862590403
0.050.9673244464812230.0090534671654536
0.060.9714201778697210.0106188437717381
0.070.9757739908881430.0116376330927048
0.080.9802372648773990.0121571560286853
0.090.9846568537470210.0123312481497508
0.10.9889342510897160.0123225636275198
0.110.9930244404587480.0122371592783831
0.120.9969172335239470.012109986903509
0.131.000620250063370.0119499727121697
0.141.004149783991020.0117801247761542
0.151.007528201344860.0116505365513642
0.161.01078321904250.0116110872878588
0.171.013945356633870.0116772098240002
0.181.01704300790440.0118242182536539
0.191.020097137809110.0119986717898883
0.21.023118076000270.012145508666175
0.211.026105613297210.0122260397667401
0.221.02905191480150.0122265371728534
0.231.031945723512660.0121513960160134
0.241.034776255445120.0120202952230598
0.251.0375357697120.0118525298311004
0.261.040220530665940.0116698602211433
0.271.042830411710670.0114848632527314
0.281.045367626834760.0113055805634426
0.291.047835099116090.0111320183677133
0.31.050234910760690.0109549426645383
0.311.052567201827340.0107616092623797
0.321.054829800479970.0105347399968807
0.331.057018746305480.0102669559593324
0.341.059129690229610.00995738662600791
0.351.061159938665120.00961613117627237
0.361.063110711614490.00927556807906462
0.371.06498907298470.00897117861570944
0.381.066809015646920.00875251621102493
0.391.068591350752570.00865946429234343
0.41.070362319965180.00872351694609532
0.411.072151146133080.0089546220906318
0.421.073986979765560.00934085258709992
0.431.075895821695710.00984898879208186
0.441.077897980669960.0104350923624834
0.451.080006475273790.0110543479082123
0.461.082226562941420.0116649314869233
0.471.08455633960390.0122321952665775
0.481.086988160137710.0127315200590604
0.491.08951051837310.0131534007905967
0.51.092110003964150.0134965324484548
0.511.094773005515580.013763534644057
0.521.097486925042340.0139657243130029
0.531.100240777319870.0141159771620719
0.541.103025147354960.0142217550277183
0.551.105831561843930.0142880722433555
0.561.108651399122380.0143132189422475
0.571.11147452424470.0142861985541141
0.581.114287895118820.0141907287297911
0.591.117074435663960.0140020479101571
0.61.119812495068290.0136967418572567
0.611.12247618436260.0132513240489137
0.621.125036782383630.0126517588108581
0.631.127465228009460.0118996725105035
0.641.129735483974270.0110123104879744
0.651.131828315132710.010029927141162
0.661.133734833807340.00900899586713015
0.671.135459090481180.00801769356418567
0.681.137019073123470.00713414087461521
0.691.138445728738030.00642877511995342
0.71.139779997172120.00595678483645898
0.711.14106827266850.00574452459858214
0.721.14235708858290.00577492783978119
0.731.143688071207630.00599753533394857
0.741.145094280405770.00634298842417454
0.751.146598940660190.00674607829003068
0.761.148217285639350.0071575686509294
0.771.14996180582960.00756220880277913
0.781.151850583048490.00798598830830099
0.791.153917579226270.0085036788906684
0.81.156222735852750.00924251261124105
0.811.158858721155080.0103528861824584
0.821.1619505712610.0119691303522823
0.831.165644931849660.0141383096542721
0.841.170087643431490.0167842043853574
0.851.175392016033150.0196863546742041
0.861.181604415366910.0225081177334271
0.871.188677057669350.0248525285176167
0.881.196458478735190.0263514177951735
0.891.204709394215070.0267532021435379
0.91.213146653868130.026000987087749
0.911.221512242021270.0242709558027001
0.921.229656919414360.0219758057815419
0.931.237615253274460.0197446810414164
0.941.245634152329270.0182932185353291
0.951.254135405812430.0179857357289495
0.961.263696355261720.0182979295416453
0.971.275205193190120.0186437269863349
0.981.289806817991270.0212813103243322
0.991.30689088866580.0299127480773489



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')