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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 12 Oct 2011 13:11:31 -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/2011/Oct/12/t1318439652mdz3ulo8bx4fvpp.htm/, Retrieved Fri, 10 May 2024 04:58:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128426, Retrieved Fri, 10 May 2024 04:58:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact83
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Tabel en grafiek ...] [2011-10-12 17:11:31] [fbd10e07abbced8dffcb95f726fd6c98] [Current]
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Dataseries X:
1.26
1.27
1.24
1.25
1.27
1.25
1.26
1.27
1.26
1.26
1.28
1.27
1.28
1.27
1.26
1.27
1.27
1.28
1.27
1.26
1.3
1.31
1.28
1.29
1.31
1.29
1.29
1.32
1.3
1.29
1.31
1.29
1.33
1.35
1.32
1.33
1.34
1.34
1.33
1.33
1.35
1.32
1.35
1.32
1.36
1.37
1.34
1.32
1.34
1.32
1.33
1.35
1.33
1.33
1.35
1.33
1.36
1.39
1.37
1.37




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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128426&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128426&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128426&T=0

As an alternative you can also use a QR Code:  

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

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







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.242166423826230.00831442276889434
0.021.245276546377580.00662443258840862
0.031.248452880644880.00561439141654565
0.041.251257194951960.00523400894687694
0.051.253601348496240.00492713255664465
0.061.255527313578170.0044036452604586
0.071.257095151914530.00372805420457392
0.081.258366587115660.00311519107832553
0.091.259414055755320.0027706363004363
0.11.260319334544550.00278035784816907
0.111.261160528847540.00306270058933163
0.121.261997732575110.00346301375044537
0.131.262864929879660.00384740270673566
0.141.263769967472860.00412506302093092
0.151.264700688910620.00424971846282391
0.161.265634079203420.00421568080401381
0.171.266545534434530.00405492209443006
0.181.267416241840830.00382081180727812
0.191.268237633418610.00358544876540175
0.21.26901273738430.00341794425156427
0.211.269754895018690.00337894437818333
0.221.270484690990550.00349651014514785
0.231.271226066084340.00376656028190034
0.241.272002489652790.00415865056664844
0.251.272833841418680.00463064325189183
0.261.273734370621660.00513990592556398
0.271.274711832863750.00565024015082842
0.281.275767694691950.00613039755332779
0.291.276898161148690.00656114695152236
0.31.278095720697540.00693154115813127
0.311.279350901308380.00723957512870867
0.321.280653971890050.00749321229354266
0.331.281996385451350.00770418876729682
0.341.283371828652120.00789170720549772
0.351.284776806517260.00807406709483288
0.361.286210746414220.00826959445840897
0.371.287675651645560.00849529230140932
0.381.289175373902250.00875847410087884
0.391.29071460667750.00906257678729846
0.41.292297727860530.00939740160476766
0.411.293927636178210.00974910401984386
0.421.295604728875730.0100951486302375
0.431.297326153761770.0104100539313724
0.441.299085436816640.0106659227417249
0.451.30087253985170.010841960941085
0.461.302674347369720.0109178249524675
0.471.304475525925690.0108836966826731
0.481.306259651178560.0107365921650572
0.491.308010464176280.0104821996265718
0.51.309713103392680.0101334408316643
0.511.31135516400350.00971031759061191
0.521.312927459781250.00923625314843435
0.531.314424402857190.00873682784062262
0.541.31584396805580.00823632447224822
0.551.317187265885710.00775683297279859
0.561.318457804676880.00731231827649019
0.571.319660569898080.00691124872868117
0.581.32080107924410.00655361189335857
0.591.321884578645250.00623310320123652
0.61.322915522836640.00593826413414438
0.611.323897435070850.00565764701227525
0.621.324833170141620.00538234199170689
0.631.325725524683570.00510830887334603
0.641.32657806399540.00484073709135945
0.651.327395981387660.004592101913556
0.661.328186787319910.00438202421909976
0.671.328960647991420.00423305563776229
0.681.329730254435350.00416730520020869
0.691.330510192136490.00419935460451305
0.71.331315878923460.00433139109359125
0.711.33216222321270.00455410602598675
0.721.333062205800380.00484175680384287
0.731.334025594895820.00516804019728669
0.741.335057967484610.00550193683440161
0.751.336160145879040.00581416756749499
0.761.337328091901360.0060817494891216
0.771.338553258823040.00628356563775535
0.781.339823397898180.00640500189935763
0.791.341123845005030.00643708105848237
0.81.342439341035610.00637746297652201
0.811.34375641795970.00623231644102884
0.821.345066266224920.00601999735238664
0.831.346367776228340.0057753895039765
0.841.347670159595330.00554987989536025
0.851.348994303711640.0054090360127267
0.861.35037192332180.00541505982553897
0.871.351841756644380.00560573462010452
0.881.353442568005950.00596877686394564
0.891.355203584873420.00643639045112233
0.91.357134281372110.00689897458564509
0.911.3592173237410.00722638260818118
0.921.361411217713370.00729070818138248
0.931.363672140181130.0070078708914058
0.941.366004137562780.00640410037426912
0.951.368534051279580.00574306889787708
0.961.371567764443790.00575544909646047
0.971.375515996205040.00750670128638706
0.981.380543131734890.0112481106236327
0.991.385968704159170.0159694484115099

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.24216642382623 & 0.00831442276889434 \tabularnewline
0.02 & 1.24527654637758 & 0.00662443258840862 \tabularnewline
0.03 & 1.24845288064488 & 0.00561439141654565 \tabularnewline
0.04 & 1.25125719495196 & 0.00523400894687694 \tabularnewline
0.05 & 1.25360134849624 & 0.00492713255664465 \tabularnewline
0.06 & 1.25552731357817 & 0.0044036452604586 \tabularnewline
0.07 & 1.25709515191453 & 0.00372805420457392 \tabularnewline
0.08 & 1.25836658711566 & 0.00311519107832553 \tabularnewline
0.09 & 1.25941405575532 & 0.0027706363004363 \tabularnewline
0.1 & 1.26031933454455 & 0.00278035784816907 \tabularnewline
0.11 & 1.26116052884754 & 0.00306270058933163 \tabularnewline
0.12 & 1.26199773257511 & 0.00346301375044537 \tabularnewline
0.13 & 1.26286492987966 & 0.00384740270673566 \tabularnewline
0.14 & 1.26376996747286 & 0.00412506302093092 \tabularnewline
0.15 & 1.26470068891062 & 0.00424971846282391 \tabularnewline
0.16 & 1.26563407920342 & 0.00421568080401381 \tabularnewline
0.17 & 1.26654553443453 & 0.00405492209443006 \tabularnewline
0.18 & 1.26741624184083 & 0.00382081180727812 \tabularnewline
0.19 & 1.26823763341861 & 0.00358544876540175 \tabularnewline
0.2 & 1.2690127373843 & 0.00341794425156427 \tabularnewline
0.21 & 1.26975489501869 & 0.00337894437818333 \tabularnewline
0.22 & 1.27048469099055 & 0.00349651014514785 \tabularnewline
0.23 & 1.27122606608434 & 0.00376656028190034 \tabularnewline
0.24 & 1.27200248965279 & 0.00415865056664844 \tabularnewline
0.25 & 1.27283384141868 & 0.00463064325189183 \tabularnewline
0.26 & 1.27373437062166 & 0.00513990592556398 \tabularnewline
0.27 & 1.27471183286375 & 0.00565024015082842 \tabularnewline
0.28 & 1.27576769469195 & 0.00613039755332779 \tabularnewline
0.29 & 1.27689816114869 & 0.00656114695152236 \tabularnewline
0.3 & 1.27809572069754 & 0.00693154115813127 \tabularnewline
0.31 & 1.27935090130838 & 0.00723957512870867 \tabularnewline
0.32 & 1.28065397189005 & 0.00749321229354266 \tabularnewline
0.33 & 1.28199638545135 & 0.00770418876729682 \tabularnewline
0.34 & 1.28337182865212 & 0.00789170720549772 \tabularnewline
0.35 & 1.28477680651726 & 0.00807406709483288 \tabularnewline
0.36 & 1.28621074641422 & 0.00826959445840897 \tabularnewline
0.37 & 1.28767565164556 & 0.00849529230140932 \tabularnewline
0.38 & 1.28917537390225 & 0.00875847410087884 \tabularnewline
0.39 & 1.2907146066775 & 0.00906257678729846 \tabularnewline
0.4 & 1.29229772786053 & 0.00939740160476766 \tabularnewline
0.41 & 1.29392763617821 & 0.00974910401984386 \tabularnewline
0.42 & 1.29560472887573 & 0.0100951486302375 \tabularnewline
0.43 & 1.29732615376177 & 0.0104100539313724 \tabularnewline
0.44 & 1.29908543681664 & 0.0106659227417249 \tabularnewline
0.45 & 1.3008725398517 & 0.010841960941085 \tabularnewline
0.46 & 1.30267434736972 & 0.0109178249524675 \tabularnewline
0.47 & 1.30447552592569 & 0.0108836966826731 \tabularnewline
0.48 & 1.30625965117856 & 0.0107365921650572 \tabularnewline
0.49 & 1.30801046417628 & 0.0104821996265718 \tabularnewline
0.5 & 1.30971310339268 & 0.0101334408316643 \tabularnewline
0.51 & 1.3113551640035 & 0.00971031759061191 \tabularnewline
0.52 & 1.31292745978125 & 0.00923625314843435 \tabularnewline
0.53 & 1.31442440285719 & 0.00873682784062262 \tabularnewline
0.54 & 1.3158439680558 & 0.00823632447224822 \tabularnewline
0.55 & 1.31718726588571 & 0.00775683297279859 \tabularnewline
0.56 & 1.31845780467688 & 0.00731231827649019 \tabularnewline
0.57 & 1.31966056989808 & 0.00691124872868117 \tabularnewline
0.58 & 1.3208010792441 & 0.00655361189335857 \tabularnewline
0.59 & 1.32188457864525 & 0.00623310320123652 \tabularnewline
0.6 & 1.32291552283664 & 0.00593826413414438 \tabularnewline
0.61 & 1.32389743507085 & 0.00565764701227525 \tabularnewline
0.62 & 1.32483317014162 & 0.00538234199170689 \tabularnewline
0.63 & 1.32572552468357 & 0.00510830887334603 \tabularnewline
0.64 & 1.3265780639954 & 0.00484073709135945 \tabularnewline
0.65 & 1.32739598138766 & 0.004592101913556 \tabularnewline
0.66 & 1.32818678731991 & 0.00438202421909976 \tabularnewline
0.67 & 1.32896064799142 & 0.00423305563776229 \tabularnewline
0.68 & 1.32973025443535 & 0.00416730520020869 \tabularnewline
0.69 & 1.33051019213649 & 0.00419935460451305 \tabularnewline
0.7 & 1.33131587892346 & 0.00433139109359125 \tabularnewline
0.71 & 1.3321622232127 & 0.00455410602598675 \tabularnewline
0.72 & 1.33306220580038 & 0.00484175680384287 \tabularnewline
0.73 & 1.33402559489582 & 0.00516804019728669 \tabularnewline
0.74 & 1.33505796748461 & 0.00550193683440161 \tabularnewline
0.75 & 1.33616014587904 & 0.00581416756749499 \tabularnewline
0.76 & 1.33732809190136 & 0.0060817494891216 \tabularnewline
0.77 & 1.33855325882304 & 0.00628356563775535 \tabularnewline
0.78 & 1.33982339789818 & 0.00640500189935763 \tabularnewline
0.79 & 1.34112384500503 & 0.00643708105848237 \tabularnewline
0.8 & 1.34243934103561 & 0.00637746297652201 \tabularnewline
0.81 & 1.3437564179597 & 0.00623231644102884 \tabularnewline
0.82 & 1.34506626622492 & 0.00601999735238664 \tabularnewline
0.83 & 1.34636777622834 & 0.0057753895039765 \tabularnewline
0.84 & 1.34767015959533 & 0.00554987989536025 \tabularnewline
0.85 & 1.34899430371164 & 0.0054090360127267 \tabularnewline
0.86 & 1.3503719233218 & 0.00541505982553897 \tabularnewline
0.87 & 1.35184175664438 & 0.00560573462010452 \tabularnewline
0.88 & 1.35344256800595 & 0.00596877686394564 \tabularnewline
0.89 & 1.35520358487342 & 0.00643639045112233 \tabularnewline
0.9 & 1.35713428137211 & 0.00689897458564509 \tabularnewline
0.91 & 1.359217323741 & 0.00722638260818118 \tabularnewline
0.92 & 1.36141121771337 & 0.00729070818138248 \tabularnewline
0.93 & 1.36367214018113 & 0.0070078708914058 \tabularnewline
0.94 & 1.36600413756278 & 0.00640410037426912 \tabularnewline
0.95 & 1.36853405127958 & 0.00574306889787708 \tabularnewline
0.96 & 1.37156776444379 & 0.00575544909646047 \tabularnewline
0.97 & 1.37551599620504 & 0.00750670128638706 \tabularnewline
0.98 & 1.38054313173489 & 0.0112481106236327 \tabularnewline
0.99 & 1.38596870415917 & 0.0159694484115099 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128426&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]1.24216642382623[/C][C]0.00831442276889434[/C][/ROW]
[ROW][C]0.02[/C][C]1.24527654637758[/C][C]0.00662443258840862[/C][/ROW]
[ROW][C]0.03[/C][C]1.24845288064488[/C][C]0.00561439141654565[/C][/ROW]
[ROW][C]0.04[/C][C]1.25125719495196[/C][C]0.00523400894687694[/C][/ROW]
[ROW][C]0.05[/C][C]1.25360134849624[/C][C]0.00492713255664465[/C][/ROW]
[ROW][C]0.06[/C][C]1.25552731357817[/C][C]0.0044036452604586[/C][/ROW]
[ROW][C]0.07[/C][C]1.25709515191453[/C][C]0.00372805420457392[/C][/ROW]
[ROW][C]0.08[/C][C]1.25836658711566[/C][C]0.00311519107832553[/C][/ROW]
[ROW][C]0.09[/C][C]1.25941405575532[/C][C]0.0027706363004363[/C][/ROW]
[ROW][C]0.1[/C][C]1.26031933454455[/C][C]0.00278035784816907[/C][/ROW]
[ROW][C]0.11[/C][C]1.26116052884754[/C][C]0.00306270058933163[/C][/ROW]
[ROW][C]0.12[/C][C]1.26199773257511[/C][C]0.00346301375044537[/C][/ROW]
[ROW][C]0.13[/C][C]1.26286492987966[/C][C]0.00384740270673566[/C][/ROW]
[ROW][C]0.14[/C][C]1.26376996747286[/C][C]0.00412506302093092[/C][/ROW]
[ROW][C]0.15[/C][C]1.26470068891062[/C][C]0.00424971846282391[/C][/ROW]
[ROW][C]0.16[/C][C]1.26563407920342[/C][C]0.00421568080401381[/C][/ROW]
[ROW][C]0.17[/C][C]1.26654553443453[/C][C]0.00405492209443006[/C][/ROW]
[ROW][C]0.18[/C][C]1.26741624184083[/C][C]0.00382081180727812[/C][/ROW]
[ROW][C]0.19[/C][C]1.26823763341861[/C][C]0.00358544876540175[/C][/ROW]
[ROW][C]0.2[/C][C]1.2690127373843[/C][C]0.00341794425156427[/C][/ROW]
[ROW][C]0.21[/C][C]1.26975489501869[/C][C]0.00337894437818333[/C][/ROW]
[ROW][C]0.22[/C][C]1.27048469099055[/C][C]0.00349651014514785[/C][/ROW]
[ROW][C]0.23[/C][C]1.27122606608434[/C][C]0.00376656028190034[/C][/ROW]
[ROW][C]0.24[/C][C]1.27200248965279[/C][C]0.00415865056664844[/C][/ROW]
[ROW][C]0.25[/C][C]1.27283384141868[/C][C]0.00463064325189183[/C][/ROW]
[ROW][C]0.26[/C][C]1.27373437062166[/C][C]0.00513990592556398[/C][/ROW]
[ROW][C]0.27[/C][C]1.27471183286375[/C][C]0.00565024015082842[/C][/ROW]
[ROW][C]0.28[/C][C]1.27576769469195[/C][C]0.00613039755332779[/C][/ROW]
[ROW][C]0.29[/C][C]1.27689816114869[/C][C]0.00656114695152236[/C][/ROW]
[ROW][C]0.3[/C][C]1.27809572069754[/C][C]0.00693154115813127[/C][/ROW]
[ROW][C]0.31[/C][C]1.27935090130838[/C][C]0.00723957512870867[/C][/ROW]
[ROW][C]0.32[/C][C]1.28065397189005[/C][C]0.00749321229354266[/C][/ROW]
[ROW][C]0.33[/C][C]1.28199638545135[/C][C]0.00770418876729682[/C][/ROW]
[ROW][C]0.34[/C][C]1.28337182865212[/C][C]0.00789170720549772[/C][/ROW]
[ROW][C]0.35[/C][C]1.28477680651726[/C][C]0.00807406709483288[/C][/ROW]
[ROW][C]0.36[/C][C]1.28621074641422[/C][C]0.00826959445840897[/C][/ROW]
[ROW][C]0.37[/C][C]1.28767565164556[/C][C]0.00849529230140932[/C][/ROW]
[ROW][C]0.38[/C][C]1.28917537390225[/C][C]0.00875847410087884[/C][/ROW]
[ROW][C]0.39[/C][C]1.2907146066775[/C][C]0.00906257678729846[/C][/ROW]
[ROW][C]0.4[/C][C]1.29229772786053[/C][C]0.00939740160476766[/C][/ROW]
[ROW][C]0.41[/C][C]1.29392763617821[/C][C]0.00974910401984386[/C][/ROW]
[ROW][C]0.42[/C][C]1.29560472887573[/C][C]0.0100951486302375[/C][/ROW]
[ROW][C]0.43[/C][C]1.29732615376177[/C][C]0.0104100539313724[/C][/ROW]
[ROW][C]0.44[/C][C]1.29908543681664[/C][C]0.0106659227417249[/C][/ROW]
[ROW][C]0.45[/C][C]1.3008725398517[/C][C]0.010841960941085[/C][/ROW]
[ROW][C]0.46[/C][C]1.30267434736972[/C][C]0.0109178249524675[/C][/ROW]
[ROW][C]0.47[/C][C]1.30447552592569[/C][C]0.0108836966826731[/C][/ROW]
[ROW][C]0.48[/C][C]1.30625965117856[/C][C]0.0107365921650572[/C][/ROW]
[ROW][C]0.49[/C][C]1.30801046417628[/C][C]0.0104821996265718[/C][/ROW]
[ROW][C]0.5[/C][C]1.30971310339268[/C][C]0.0101334408316643[/C][/ROW]
[ROW][C]0.51[/C][C]1.3113551640035[/C][C]0.00971031759061191[/C][/ROW]
[ROW][C]0.52[/C][C]1.31292745978125[/C][C]0.00923625314843435[/C][/ROW]
[ROW][C]0.53[/C][C]1.31442440285719[/C][C]0.00873682784062262[/C][/ROW]
[ROW][C]0.54[/C][C]1.3158439680558[/C][C]0.00823632447224822[/C][/ROW]
[ROW][C]0.55[/C][C]1.31718726588571[/C][C]0.00775683297279859[/C][/ROW]
[ROW][C]0.56[/C][C]1.31845780467688[/C][C]0.00731231827649019[/C][/ROW]
[ROW][C]0.57[/C][C]1.31966056989808[/C][C]0.00691124872868117[/C][/ROW]
[ROW][C]0.58[/C][C]1.3208010792441[/C][C]0.00655361189335857[/C][/ROW]
[ROW][C]0.59[/C][C]1.32188457864525[/C][C]0.00623310320123652[/C][/ROW]
[ROW][C]0.6[/C][C]1.32291552283664[/C][C]0.00593826413414438[/C][/ROW]
[ROW][C]0.61[/C][C]1.32389743507085[/C][C]0.00565764701227525[/C][/ROW]
[ROW][C]0.62[/C][C]1.32483317014162[/C][C]0.00538234199170689[/C][/ROW]
[ROW][C]0.63[/C][C]1.32572552468357[/C][C]0.00510830887334603[/C][/ROW]
[ROW][C]0.64[/C][C]1.3265780639954[/C][C]0.00484073709135945[/C][/ROW]
[ROW][C]0.65[/C][C]1.32739598138766[/C][C]0.004592101913556[/C][/ROW]
[ROW][C]0.66[/C][C]1.32818678731991[/C][C]0.00438202421909976[/C][/ROW]
[ROW][C]0.67[/C][C]1.32896064799142[/C][C]0.00423305563776229[/C][/ROW]
[ROW][C]0.68[/C][C]1.32973025443535[/C][C]0.00416730520020869[/C][/ROW]
[ROW][C]0.69[/C][C]1.33051019213649[/C][C]0.00419935460451305[/C][/ROW]
[ROW][C]0.7[/C][C]1.33131587892346[/C][C]0.00433139109359125[/C][/ROW]
[ROW][C]0.71[/C][C]1.3321622232127[/C][C]0.00455410602598675[/C][/ROW]
[ROW][C]0.72[/C][C]1.33306220580038[/C][C]0.00484175680384287[/C][/ROW]
[ROW][C]0.73[/C][C]1.33402559489582[/C][C]0.00516804019728669[/C][/ROW]
[ROW][C]0.74[/C][C]1.33505796748461[/C][C]0.00550193683440161[/C][/ROW]
[ROW][C]0.75[/C][C]1.33616014587904[/C][C]0.00581416756749499[/C][/ROW]
[ROW][C]0.76[/C][C]1.33732809190136[/C][C]0.0060817494891216[/C][/ROW]
[ROW][C]0.77[/C][C]1.33855325882304[/C][C]0.00628356563775535[/C][/ROW]
[ROW][C]0.78[/C][C]1.33982339789818[/C][C]0.00640500189935763[/C][/ROW]
[ROW][C]0.79[/C][C]1.34112384500503[/C][C]0.00643708105848237[/C][/ROW]
[ROW][C]0.8[/C][C]1.34243934103561[/C][C]0.00637746297652201[/C][/ROW]
[ROW][C]0.81[/C][C]1.3437564179597[/C][C]0.00623231644102884[/C][/ROW]
[ROW][C]0.82[/C][C]1.34506626622492[/C][C]0.00601999735238664[/C][/ROW]
[ROW][C]0.83[/C][C]1.34636777622834[/C][C]0.0057753895039765[/C][/ROW]
[ROW][C]0.84[/C][C]1.34767015959533[/C][C]0.00554987989536025[/C][/ROW]
[ROW][C]0.85[/C][C]1.34899430371164[/C][C]0.0054090360127267[/C][/ROW]
[ROW][C]0.86[/C][C]1.3503719233218[/C][C]0.00541505982553897[/C][/ROW]
[ROW][C]0.87[/C][C]1.35184175664438[/C][C]0.00560573462010452[/C][/ROW]
[ROW][C]0.88[/C][C]1.35344256800595[/C][C]0.00596877686394564[/C][/ROW]
[ROW][C]0.89[/C][C]1.35520358487342[/C][C]0.00643639045112233[/C][/ROW]
[ROW][C]0.9[/C][C]1.35713428137211[/C][C]0.00689897458564509[/C][/ROW]
[ROW][C]0.91[/C][C]1.359217323741[/C][C]0.00722638260818118[/C][/ROW]
[ROW][C]0.92[/C][C]1.36141121771337[/C][C]0.00729070818138248[/C][/ROW]
[ROW][C]0.93[/C][C]1.36367214018113[/C][C]0.0070078708914058[/C][/ROW]
[ROW][C]0.94[/C][C]1.36600413756278[/C][C]0.00640410037426912[/C][/ROW]
[ROW][C]0.95[/C][C]1.36853405127958[/C][C]0.00574306889787708[/C][/ROW]
[ROW][C]0.96[/C][C]1.37156776444379[/C][C]0.00575544909646047[/C][/ROW]
[ROW][C]0.97[/C][C]1.37551599620504[/C][C]0.00750670128638706[/C][/ROW]
[ROW][C]0.98[/C][C]1.38054313173489[/C][C]0.0112481106236327[/C][/ROW]
[ROW][C]0.99[/C][C]1.38596870415917[/C][C]0.0159694484115099[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128426&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128426&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
0.011.242166423826230.00831442276889434
0.021.245276546377580.00662443258840862
0.031.248452880644880.00561439141654565
0.041.251257194951960.00523400894687694
0.051.253601348496240.00492713255664465
0.061.255527313578170.0044036452604586
0.071.257095151914530.00372805420457392
0.081.258366587115660.00311519107832553
0.091.259414055755320.0027706363004363
0.11.260319334544550.00278035784816907
0.111.261160528847540.00306270058933163
0.121.261997732575110.00346301375044537
0.131.262864929879660.00384740270673566
0.141.263769967472860.00412506302093092
0.151.264700688910620.00424971846282391
0.161.265634079203420.00421568080401381
0.171.266545534434530.00405492209443006
0.181.267416241840830.00382081180727812
0.191.268237633418610.00358544876540175
0.21.26901273738430.00341794425156427
0.211.269754895018690.00337894437818333
0.221.270484690990550.00349651014514785
0.231.271226066084340.00376656028190034
0.241.272002489652790.00415865056664844
0.251.272833841418680.00463064325189183
0.261.273734370621660.00513990592556398
0.271.274711832863750.00565024015082842
0.281.275767694691950.00613039755332779
0.291.276898161148690.00656114695152236
0.31.278095720697540.00693154115813127
0.311.279350901308380.00723957512870867
0.321.280653971890050.00749321229354266
0.331.281996385451350.00770418876729682
0.341.283371828652120.00789170720549772
0.351.284776806517260.00807406709483288
0.361.286210746414220.00826959445840897
0.371.287675651645560.00849529230140932
0.381.289175373902250.00875847410087884
0.391.29071460667750.00906257678729846
0.41.292297727860530.00939740160476766
0.411.293927636178210.00974910401984386
0.421.295604728875730.0100951486302375
0.431.297326153761770.0104100539313724
0.441.299085436816640.0106659227417249
0.451.30087253985170.010841960941085
0.461.302674347369720.0109178249524675
0.471.304475525925690.0108836966826731
0.481.306259651178560.0107365921650572
0.491.308010464176280.0104821996265718
0.51.309713103392680.0101334408316643
0.511.31135516400350.00971031759061191
0.521.312927459781250.00923625314843435
0.531.314424402857190.00873682784062262
0.541.31584396805580.00823632447224822
0.551.317187265885710.00775683297279859
0.561.318457804676880.00731231827649019
0.571.319660569898080.00691124872868117
0.581.32080107924410.00655361189335857
0.591.321884578645250.00623310320123652
0.61.322915522836640.00593826413414438
0.611.323897435070850.00565764701227525
0.621.324833170141620.00538234199170689
0.631.325725524683570.00510830887334603
0.641.32657806399540.00484073709135945
0.651.327395981387660.004592101913556
0.661.328186787319910.00438202421909976
0.671.328960647991420.00423305563776229
0.681.329730254435350.00416730520020869
0.691.330510192136490.00419935460451305
0.71.331315878923460.00433139109359125
0.711.33216222321270.00455410602598675
0.721.333062205800380.00484175680384287
0.731.334025594895820.00516804019728669
0.741.335057967484610.00550193683440161
0.751.336160145879040.00581416756749499
0.761.337328091901360.0060817494891216
0.771.338553258823040.00628356563775535
0.781.339823397898180.00640500189935763
0.791.341123845005030.00643708105848237
0.81.342439341035610.00637746297652201
0.811.34375641795970.00623231644102884
0.821.345066266224920.00601999735238664
0.831.346367776228340.0057753895039765
0.841.347670159595330.00554987989536025
0.851.348994303711640.0054090360127267
0.861.35037192332180.00541505982553897
0.871.351841756644380.00560573462010452
0.881.353442568005950.00596877686394564
0.891.355203584873420.00643639045112233
0.91.357134281372110.00689897458564509
0.911.3592173237410.00722638260818118
0.921.361411217713370.00729070818138248
0.931.363672140181130.0070078708914058
0.941.366004137562780.00640410037426912
0.951.368534051279580.00574306889787708
0.961.371567764443790.00575544909646047
0.971.375515996205040.00750670128638706
0.981.380543131734890.0112481106236327
0.991.385968704159170.0159694484115099



Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')