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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 09 Oct 2015 12:54:31 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/09/t144439226235x6tmawv8kon7m.htm/, Retrieved Mon, 13 May 2024 23:27:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281869, Retrieved Mon, 13 May 2024 23:27:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact50
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2015-10-09 11:54:31] [9f6f73fad9c1c9780dcaf60f96d9a566] [Current]
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Dataseries X:
1.4718
1.4748
1.5527
1.5751
1.5557
1.5553
1.577
1.4975
1.4369
1.3322
1.2732
1.3449
1.3239
1.2785
1.305
1.319
1.365
1.4016
1.4088
1.4268
1.4562
1.4816
1.4914
1.4614
1.4272
1.3686
1.3569
1.3406
1.2565
1.2209
1.277
1.2894
1.3067
1.3898
1.3661
1.322
1.336
1.3649
1.3999
1.4442
1.4349
1.4388
1.4264
1.4343
1.377
1.3706
1.3556
1.3179
1.2905
1.3224
1.3201
1.3162
1.2789
1.2526
1.2288
1.24
1.2856
1.2974
1.2828
1.3119
1.3288
1.3359
1.2964
1.3026
1.2982
1.3189
1.308
1.331
1.3348
1.3635
1.3493
1.3704
1.361
1.3658
1.3823
1.3812
1.3732
1.3592
1.3539
1.3316
1.2901
1.2673
1.2472
1.2331




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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281869&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281869&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281869&T=0

As an alternative you can also use a QR Code:  

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

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







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.224063936575640.0071564528506179
0.021.228909942613080.00741519635923884
0.031.234100130510010.00868055805087045
0.041.239277032673250.0100630220034766
0.051.244437295677550.011159488345815
0.061.249556876681420.011923281526941
0.071.254559058597490.0123405617510685
0.081.259348630657030.0123525743696157
0.091.263831842380390.0119406113215357
0.11.267933111246720.0111835687673207
0.111.271612711701010.0102580883569825
0.121.274876378641010.00935846573422273
0.131.277770684678830.00863353529491404
0.141.280367197128160.00814208399145025
0.151.282743642287530.00787389880149253
0.161.28496937804840.00776927978133444
0.171.287098258451550.00777393461226186
0.181.289167990169580.00784064043404403
0.191.29120314271880.00794752640676997
0.21.29321903633380.00807745418114839
0.211.295224828982730.00821903067098933
0.221.297225301363410.00836179389905565
0.231.299221592330010.00849129694531777
0.241.30121140771890.00858935434063824
0.251.303189182831250.00864599483676283
0.261.305146515188930.00864979435035079
0.271.30707301293520.00858641001846522
0.281.308957557841790.00845805222542358
0.291.310789856625230.00827261180628833
0.31.312562051624950.00804348357192377
0.311.314270102095610.00779596757687364
0.321.315914657463090.00755467158064432
0.331.317501236081640.0073515427863846
0.341.319039679965390.00720434461314833
0.351.320543031976460.00712978136485623
0.361.322026119139220.00713476463063336
0.371.323504176751980.00721191238819648
0.381.324991794842140.00735066777584082
0.391.326502329903130.00754665416543741
0.41.32804774906280.00779246229487521
0.411.329638721192510.00808419675971442
0.421.33128469108610.00841660006452664
0.431.332993693520740.00878980517315706
0.441.334771774905480.00919075696972382
0.451.336622053060520.00960406747341955
0.461.338543606432340.0100012310211269
0.471.340530491016250.0103556030600043
0.481.342571203335640.0106272281632989
0.491.344648835998420.0107898591648388
0.51.346742031589570.0108220233817827
0.511.348826672945050.0107135772323394
0.521.350878099808380.0104667946414403
0.531.352873550147560.0100992372049763
0.541.35479450571560.00963900391012949
0.551.356628670087040.00912622612023371
0.561.358371400354670.00859953785942199
0.571.360026520318880.00810722464192221
0.581.361606535579310.00769429686072046
0.591.363132331780640.00740474529262356
0.61.364632461039340.0072770673955205
0.611.366142112959060.00734416123820207
0.621.367701835674250.00762710274811089
0.631.369356030243270.00813735128018361
0.641.371151198817740.00887768963680651
0.651.373133893347510.00983273325051074
0.661.375348298396580.0109813517207817
0.671.377833402198910.0122862700464174
0.681.380619777768210.0136974795011723
0.691.383726119005460.0151482028472927
0.71.387155850752420.0165604626158756
0.711.390894331206030.0178447834327893
0.721.394907339530350.0189065849910612
0.731.399141619172490.0196601261006516
0.741.403528150608340.0200379870068988
0.751.407988498324390.0200071162364512
0.761.412444008992950.0195836124709514
0.771.416826900275770.0188322663476225
0.781.421091525677580.0178698881368999
0.791.425223550768140.0168546878620099
0.81.429244676118820.0159646307114323
0.811.433211103964470.0153610550984376
0.821.437205272960270.0151536364799553
0.831.441322396540640.0153601599742662
0.841.445655691607390.0159019382269415
0.851.450286208801350.0166456574251636
0.861.455283848266560.0174617548278011
0.871.460724101555310.0183087152082378
0.881.466718821894350.0192913314983195
0.891.473448180046270.0206739549977834
0.91.48116721651550.0227773512557927
0.911.49015287059120.025699928501936
0.921.500572655215820.0289763978922059
0.931.512309175985280.0314603526037461
0.941.524851238146250.031713903471724
0.951.537388721799680.028900908619136
0.961.54911887410650.023685109890626
0.971.559500801467860.0180343685757751
0.981.568102248727560.0129461700159882
0.991.574191536167640.00707144390530437

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.22406393657564 & 0.0071564528506179 \tabularnewline
0.02 & 1.22890994261308 & 0.00741519635923884 \tabularnewline
0.03 & 1.23410013051001 & 0.00868055805087045 \tabularnewline
0.04 & 1.23927703267325 & 0.0100630220034766 \tabularnewline
0.05 & 1.24443729567755 & 0.011159488345815 \tabularnewline
0.06 & 1.24955687668142 & 0.011923281526941 \tabularnewline
0.07 & 1.25455905859749 & 0.0123405617510685 \tabularnewline
0.08 & 1.25934863065703 & 0.0123525743696157 \tabularnewline
0.09 & 1.26383184238039 & 0.0119406113215357 \tabularnewline
0.1 & 1.26793311124672 & 0.0111835687673207 \tabularnewline
0.11 & 1.27161271170101 & 0.0102580883569825 \tabularnewline
0.12 & 1.27487637864101 & 0.00935846573422273 \tabularnewline
0.13 & 1.27777068467883 & 0.00863353529491404 \tabularnewline
0.14 & 1.28036719712816 & 0.00814208399145025 \tabularnewline
0.15 & 1.28274364228753 & 0.00787389880149253 \tabularnewline
0.16 & 1.2849693780484 & 0.00776927978133444 \tabularnewline
0.17 & 1.28709825845155 & 0.00777393461226186 \tabularnewline
0.18 & 1.28916799016958 & 0.00784064043404403 \tabularnewline
0.19 & 1.2912031427188 & 0.00794752640676997 \tabularnewline
0.2 & 1.2932190363338 & 0.00807745418114839 \tabularnewline
0.21 & 1.29522482898273 & 0.00821903067098933 \tabularnewline
0.22 & 1.29722530136341 & 0.00836179389905565 \tabularnewline
0.23 & 1.29922159233001 & 0.00849129694531777 \tabularnewline
0.24 & 1.3012114077189 & 0.00858935434063824 \tabularnewline
0.25 & 1.30318918283125 & 0.00864599483676283 \tabularnewline
0.26 & 1.30514651518893 & 0.00864979435035079 \tabularnewline
0.27 & 1.3070730129352 & 0.00858641001846522 \tabularnewline
0.28 & 1.30895755784179 & 0.00845805222542358 \tabularnewline
0.29 & 1.31078985662523 & 0.00827261180628833 \tabularnewline
0.3 & 1.31256205162495 & 0.00804348357192377 \tabularnewline
0.31 & 1.31427010209561 & 0.00779596757687364 \tabularnewline
0.32 & 1.31591465746309 & 0.00755467158064432 \tabularnewline
0.33 & 1.31750123608164 & 0.0073515427863846 \tabularnewline
0.34 & 1.31903967996539 & 0.00720434461314833 \tabularnewline
0.35 & 1.32054303197646 & 0.00712978136485623 \tabularnewline
0.36 & 1.32202611913922 & 0.00713476463063336 \tabularnewline
0.37 & 1.32350417675198 & 0.00721191238819648 \tabularnewline
0.38 & 1.32499179484214 & 0.00735066777584082 \tabularnewline
0.39 & 1.32650232990313 & 0.00754665416543741 \tabularnewline
0.4 & 1.3280477490628 & 0.00779246229487521 \tabularnewline
0.41 & 1.32963872119251 & 0.00808419675971442 \tabularnewline
0.42 & 1.3312846910861 & 0.00841660006452664 \tabularnewline
0.43 & 1.33299369352074 & 0.00878980517315706 \tabularnewline
0.44 & 1.33477177490548 & 0.00919075696972382 \tabularnewline
0.45 & 1.33662205306052 & 0.00960406747341955 \tabularnewline
0.46 & 1.33854360643234 & 0.0100012310211269 \tabularnewline
0.47 & 1.34053049101625 & 0.0103556030600043 \tabularnewline
0.48 & 1.34257120333564 & 0.0106272281632989 \tabularnewline
0.49 & 1.34464883599842 & 0.0107898591648388 \tabularnewline
0.5 & 1.34674203158957 & 0.0108220233817827 \tabularnewline
0.51 & 1.34882667294505 & 0.0107135772323394 \tabularnewline
0.52 & 1.35087809980838 & 0.0104667946414403 \tabularnewline
0.53 & 1.35287355014756 & 0.0100992372049763 \tabularnewline
0.54 & 1.3547945057156 & 0.00963900391012949 \tabularnewline
0.55 & 1.35662867008704 & 0.00912622612023371 \tabularnewline
0.56 & 1.35837140035467 & 0.00859953785942199 \tabularnewline
0.57 & 1.36002652031888 & 0.00810722464192221 \tabularnewline
0.58 & 1.36160653557931 & 0.00769429686072046 \tabularnewline
0.59 & 1.36313233178064 & 0.00740474529262356 \tabularnewline
0.6 & 1.36463246103934 & 0.0072770673955205 \tabularnewline
0.61 & 1.36614211295906 & 0.00734416123820207 \tabularnewline
0.62 & 1.36770183567425 & 0.00762710274811089 \tabularnewline
0.63 & 1.36935603024327 & 0.00813735128018361 \tabularnewline
0.64 & 1.37115119881774 & 0.00887768963680651 \tabularnewline
0.65 & 1.37313389334751 & 0.00983273325051074 \tabularnewline
0.66 & 1.37534829839658 & 0.0109813517207817 \tabularnewline
0.67 & 1.37783340219891 & 0.0122862700464174 \tabularnewline
0.68 & 1.38061977776821 & 0.0136974795011723 \tabularnewline
0.69 & 1.38372611900546 & 0.0151482028472927 \tabularnewline
0.7 & 1.38715585075242 & 0.0165604626158756 \tabularnewline
0.71 & 1.39089433120603 & 0.0178447834327893 \tabularnewline
0.72 & 1.39490733953035 & 0.0189065849910612 \tabularnewline
0.73 & 1.39914161917249 & 0.0196601261006516 \tabularnewline
0.74 & 1.40352815060834 & 0.0200379870068988 \tabularnewline
0.75 & 1.40798849832439 & 0.0200071162364512 \tabularnewline
0.76 & 1.41244400899295 & 0.0195836124709514 \tabularnewline
0.77 & 1.41682690027577 & 0.0188322663476225 \tabularnewline
0.78 & 1.42109152567758 & 0.0178698881368999 \tabularnewline
0.79 & 1.42522355076814 & 0.0168546878620099 \tabularnewline
0.8 & 1.42924467611882 & 0.0159646307114323 \tabularnewline
0.81 & 1.43321110396447 & 0.0153610550984376 \tabularnewline
0.82 & 1.43720527296027 & 0.0151536364799553 \tabularnewline
0.83 & 1.44132239654064 & 0.0153601599742662 \tabularnewline
0.84 & 1.44565569160739 & 0.0159019382269415 \tabularnewline
0.85 & 1.45028620880135 & 0.0166456574251636 \tabularnewline
0.86 & 1.45528384826656 & 0.0174617548278011 \tabularnewline
0.87 & 1.46072410155531 & 0.0183087152082378 \tabularnewline
0.88 & 1.46671882189435 & 0.0192913314983195 \tabularnewline
0.89 & 1.47344818004627 & 0.0206739549977834 \tabularnewline
0.9 & 1.4811672165155 & 0.0227773512557927 \tabularnewline
0.91 & 1.4901528705912 & 0.025699928501936 \tabularnewline
0.92 & 1.50057265521582 & 0.0289763978922059 \tabularnewline
0.93 & 1.51230917598528 & 0.0314603526037461 \tabularnewline
0.94 & 1.52485123814625 & 0.031713903471724 \tabularnewline
0.95 & 1.53738872179968 & 0.028900908619136 \tabularnewline
0.96 & 1.5491188741065 & 0.023685109890626 \tabularnewline
0.97 & 1.55950080146786 & 0.0180343685757751 \tabularnewline
0.98 & 1.56810224872756 & 0.0129461700159882 \tabularnewline
0.99 & 1.57419153616764 & 0.00707144390530437 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281869&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]1.22406393657564[/C][C]0.0071564528506179[/C][/ROW]
[ROW][C]0.02[/C][C]1.22890994261308[/C][C]0.00741519635923884[/C][/ROW]
[ROW][C]0.03[/C][C]1.23410013051001[/C][C]0.00868055805087045[/C][/ROW]
[ROW][C]0.04[/C][C]1.23927703267325[/C][C]0.0100630220034766[/C][/ROW]
[ROW][C]0.05[/C][C]1.24443729567755[/C][C]0.011159488345815[/C][/ROW]
[ROW][C]0.06[/C][C]1.24955687668142[/C][C]0.011923281526941[/C][/ROW]
[ROW][C]0.07[/C][C]1.25455905859749[/C][C]0.0123405617510685[/C][/ROW]
[ROW][C]0.08[/C][C]1.25934863065703[/C][C]0.0123525743696157[/C][/ROW]
[ROW][C]0.09[/C][C]1.26383184238039[/C][C]0.0119406113215357[/C][/ROW]
[ROW][C]0.1[/C][C]1.26793311124672[/C][C]0.0111835687673207[/C][/ROW]
[ROW][C]0.11[/C][C]1.27161271170101[/C][C]0.0102580883569825[/C][/ROW]
[ROW][C]0.12[/C][C]1.27487637864101[/C][C]0.00935846573422273[/C][/ROW]
[ROW][C]0.13[/C][C]1.27777068467883[/C][C]0.00863353529491404[/C][/ROW]
[ROW][C]0.14[/C][C]1.28036719712816[/C][C]0.00814208399145025[/C][/ROW]
[ROW][C]0.15[/C][C]1.28274364228753[/C][C]0.00787389880149253[/C][/ROW]
[ROW][C]0.16[/C][C]1.2849693780484[/C][C]0.00776927978133444[/C][/ROW]
[ROW][C]0.17[/C][C]1.28709825845155[/C][C]0.00777393461226186[/C][/ROW]
[ROW][C]0.18[/C][C]1.28916799016958[/C][C]0.00784064043404403[/C][/ROW]
[ROW][C]0.19[/C][C]1.2912031427188[/C][C]0.00794752640676997[/C][/ROW]
[ROW][C]0.2[/C][C]1.2932190363338[/C][C]0.00807745418114839[/C][/ROW]
[ROW][C]0.21[/C][C]1.29522482898273[/C][C]0.00821903067098933[/C][/ROW]
[ROW][C]0.22[/C][C]1.29722530136341[/C][C]0.00836179389905565[/C][/ROW]
[ROW][C]0.23[/C][C]1.29922159233001[/C][C]0.00849129694531777[/C][/ROW]
[ROW][C]0.24[/C][C]1.3012114077189[/C][C]0.00858935434063824[/C][/ROW]
[ROW][C]0.25[/C][C]1.30318918283125[/C][C]0.00864599483676283[/C][/ROW]
[ROW][C]0.26[/C][C]1.30514651518893[/C][C]0.00864979435035079[/C][/ROW]
[ROW][C]0.27[/C][C]1.3070730129352[/C][C]0.00858641001846522[/C][/ROW]
[ROW][C]0.28[/C][C]1.30895755784179[/C][C]0.00845805222542358[/C][/ROW]
[ROW][C]0.29[/C][C]1.31078985662523[/C][C]0.00827261180628833[/C][/ROW]
[ROW][C]0.3[/C][C]1.31256205162495[/C][C]0.00804348357192377[/C][/ROW]
[ROW][C]0.31[/C][C]1.31427010209561[/C][C]0.00779596757687364[/C][/ROW]
[ROW][C]0.32[/C][C]1.31591465746309[/C][C]0.00755467158064432[/C][/ROW]
[ROW][C]0.33[/C][C]1.31750123608164[/C][C]0.0073515427863846[/C][/ROW]
[ROW][C]0.34[/C][C]1.31903967996539[/C][C]0.00720434461314833[/C][/ROW]
[ROW][C]0.35[/C][C]1.32054303197646[/C][C]0.00712978136485623[/C][/ROW]
[ROW][C]0.36[/C][C]1.32202611913922[/C][C]0.00713476463063336[/C][/ROW]
[ROW][C]0.37[/C][C]1.32350417675198[/C][C]0.00721191238819648[/C][/ROW]
[ROW][C]0.38[/C][C]1.32499179484214[/C][C]0.00735066777584082[/C][/ROW]
[ROW][C]0.39[/C][C]1.32650232990313[/C][C]0.00754665416543741[/C][/ROW]
[ROW][C]0.4[/C][C]1.3280477490628[/C][C]0.00779246229487521[/C][/ROW]
[ROW][C]0.41[/C][C]1.32963872119251[/C][C]0.00808419675971442[/C][/ROW]
[ROW][C]0.42[/C][C]1.3312846910861[/C][C]0.00841660006452664[/C][/ROW]
[ROW][C]0.43[/C][C]1.33299369352074[/C][C]0.00878980517315706[/C][/ROW]
[ROW][C]0.44[/C][C]1.33477177490548[/C][C]0.00919075696972382[/C][/ROW]
[ROW][C]0.45[/C][C]1.33662205306052[/C][C]0.00960406747341955[/C][/ROW]
[ROW][C]0.46[/C][C]1.33854360643234[/C][C]0.0100012310211269[/C][/ROW]
[ROW][C]0.47[/C][C]1.34053049101625[/C][C]0.0103556030600043[/C][/ROW]
[ROW][C]0.48[/C][C]1.34257120333564[/C][C]0.0106272281632989[/C][/ROW]
[ROW][C]0.49[/C][C]1.34464883599842[/C][C]0.0107898591648388[/C][/ROW]
[ROW][C]0.5[/C][C]1.34674203158957[/C][C]0.0108220233817827[/C][/ROW]
[ROW][C]0.51[/C][C]1.34882667294505[/C][C]0.0107135772323394[/C][/ROW]
[ROW][C]0.52[/C][C]1.35087809980838[/C][C]0.0104667946414403[/C][/ROW]
[ROW][C]0.53[/C][C]1.35287355014756[/C][C]0.0100992372049763[/C][/ROW]
[ROW][C]0.54[/C][C]1.3547945057156[/C][C]0.00963900391012949[/C][/ROW]
[ROW][C]0.55[/C][C]1.35662867008704[/C][C]0.00912622612023371[/C][/ROW]
[ROW][C]0.56[/C][C]1.35837140035467[/C][C]0.00859953785942199[/C][/ROW]
[ROW][C]0.57[/C][C]1.36002652031888[/C][C]0.00810722464192221[/C][/ROW]
[ROW][C]0.58[/C][C]1.36160653557931[/C][C]0.00769429686072046[/C][/ROW]
[ROW][C]0.59[/C][C]1.36313233178064[/C][C]0.00740474529262356[/C][/ROW]
[ROW][C]0.6[/C][C]1.36463246103934[/C][C]0.0072770673955205[/C][/ROW]
[ROW][C]0.61[/C][C]1.36614211295906[/C][C]0.00734416123820207[/C][/ROW]
[ROW][C]0.62[/C][C]1.36770183567425[/C][C]0.00762710274811089[/C][/ROW]
[ROW][C]0.63[/C][C]1.36935603024327[/C][C]0.00813735128018361[/C][/ROW]
[ROW][C]0.64[/C][C]1.37115119881774[/C][C]0.00887768963680651[/C][/ROW]
[ROW][C]0.65[/C][C]1.37313389334751[/C][C]0.00983273325051074[/C][/ROW]
[ROW][C]0.66[/C][C]1.37534829839658[/C][C]0.0109813517207817[/C][/ROW]
[ROW][C]0.67[/C][C]1.37783340219891[/C][C]0.0122862700464174[/C][/ROW]
[ROW][C]0.68[/C][C]1.38061977776821[/C][C]0.0136974795011723[/C][/ROW]
[ROW][C]0.69[/C][C]1.38372611900546[/C][C]0.0151482028472927[/C][/ROW]
[ROW][C]0.7[/C][C]1.38715585075242[/C][C]0.0165604626158756[/C][/ROW]
[ROW][C]0.71[/C][C]1.39089433120603[/C][C]0.0178447834327893[/C][/ROW]
[ROW][C]0.72[/C][C]1.39490733953035[/C][C]0.0189065849910612[/C][/ROW]
[ROW][C]0.73[/C][C]1.39914161917249[/C][C]0.0196601261006516[/C][/ROW]
[ROW][C]0.74[/C][C]1.40352815060834[/C][C]0.0200379870068988[/C][/ROW]
[ROW][C]0.75[/C][C]1.40798849832439[/C][C]0.0200071162364512[/C][/ROW]
[ROW][C]0.76[/C][C]1.41244400899295[/C][C]0.0195836124709514[/C][/ROW]
[ROW][C]0.77[/C][C]1.41682690027577[/C][C]0.0188322663476225[/C][/ROW]
[ROW][C]0.78[/C][C]1.42109152567758[/C][C]0.0178698881368999[/C][/ROW]
[ROW][C]0.79[/C][C]1.42522355076814[/C][C]0.0168546878620099[/C][/ROW]
[ROW][C]0.8[/C][C]1.42924467611882[/C][C]0.0159646307114323[/C][/ROW]
[ROW][C]0.81[/C][C]1.43321110396447[/C][C]0.0153610550984376[/C][/ROW]
[ROW][C]0.82[/C][C]1.43720527296027[/C][C]0.0151536364799553[/C][/ROW]
[ROW][C]0.83[/C][C]1.44132239654064[/C][C]0.0153601599742662[/C][/ROW]
[ROW][C]0.84[/C][C]1.44565569160739[/C][C]0.0159019382269415[/C][/ROW]
[ROW][C]0.85[/C][C]1.45028620880135[/C][C]0.0166456574251636[/C][/ROW]
[ROW][C]0.86[/C][C]1.45528384826656[/C][C]0.0174617548278011[/C][/ROW]
[ROW][C]0.87[/C][C]1.46072410155531[/C][C]0.0183087152082378[/C][/ROW]
[ROW][C]0.88[/C][C]1.46671882189435[/C][C]0.0192913314983195[/C][/ROW]
[ROW][C]0.89[/C][C]1.47344818004627[/C][C]0.0206739549977834[/C][/ROW]
[ROW][C]0.9[/C][C]1.4811672165155[/C][C]0.0227773512557927[/C][/ROW]
[ROW][C]0.91[/C][C]1.4901528705912[/C][C]0.025699928501936[/C][/ROW]
[ROW][C]0.92[/C][C]1.50057265521582[/C][C]0.0289763978922059[/C][/ROW]
[ROW][C]0.93[/C][C]1.51230917598528[/C][C]0.0314603526037461[/C][/ROW]
[ROW][C]0.94[/C][C]1.52485123814625[/C][C]0.031713903471724[/C][/ROW]
[ROW][C]0.95[/C][C]1.53738872179968[/C][C]0.028900908619136[/C][/ROW]
[ROW][C]0.96[/C][C]1.5491188741065[/C][C]0.023685109890626[/C][/ROW]
[ROW][C]0.97[/C][C]1.55950080146786[/C][C]0.0180343685757751[/C][/ROW]
[ROW][C]0.98[/C][C]1.56810224872756[/C][C]0.0129461700159882[/C][/ROW]
[ROW][C]0.99[/C][C]1.57419153616764[/C][C]0.00707144390530437[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281869&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281869&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
0.011.224063936575640.0071564528506179
0.021.228909942613080.00741519635923884
0.031.234100130510010.00868055805087045
0.041.239277032673250.0100630220034766
0.051.244437295677550.011159488345815
0.061.249556876681420.011923281526941
0.071.254559058597490.0123405617510685
0.081.259348630657030.0123525743696157
0.091.263831842380390.0119406113215357
0.11.267933111246720.0111835687673207
0.111.271612711701010.0102580883569825
0.121.274876378641010.00935846573422273
0.131.277770684678830.00863353529491404
0.141.280367197128160.00814208399145025
0.151.282743642287530.00787389880149253
0.161.28496937804840.00776927978133444
0.171.287098258451550.00777393461226186
0.181.289167990169580.00784064043404403
0.191.29120314271880.00794752640676997
0.21.29321903633380.00807745418114839
0.211.295224828982730.00821903067098933
0.221.297225301363410.00836179389905565
0.231.299221592330010.00849129694531777
0.241.30121140771890.00858935434063824
0.251.303189182831250.00864599483676283
0.261.305146515188930.00864979435035079
0.271.30707301293520.00858641001846522
0.281.308957557841790.00845805222542358
0.291.310789856625230.00827261180628833
0.31.312562051624950.00804348357192377
0.311.314270102095610.00779596757687364
0.321.315914657463090.00755467158064432
0.331.317501236081640.0073515427863846
0.341.319039679965390.00720434461314833
0.351.320543031976460.00712978136485623
0.361.322026119139220.00713476463063336
0.371.323504176751980.00721191238819648
0.381.324991794842140.00735066777584082
0.391.326502329903130.00754665416543741
0.41.32804774906280.00779246229487521
0.411.329638721192510.00808419675971442
0.421.33128469108610.00841660006452664
0.431.332993693520740.00878980517315706
0.441.334771774905480.00919075696972382
0.451.336622053060520.00960406747341955
0.461.338543606432340.0100012310211269
0.471.340530491016250.0103556030600043
0.481.342571203335640.0106272281632989
0.491.344648835998420.0107898591648388
0.51.346742031589570.0108220233817827
0.511.348826672945050.0107135772323394
0.521.350878099808380.0104667946414403
0.531.352873550147560.0100992372049763
0.541.35479450571560.00963900391012949
0.551.356628670087040.00912622612023371
0.561.358371400354670.00859953785942199
0.571.360026520318880.00810722464192221
0.581.361606535579310.00769429686072046
0.591.363132331780640.00740474529262356
0.61.364632461039340.0072770673955205
0.611.366142112959060.00734416123820207
0.621.367701835674250.00762710274811089
0.631.369356030243270.00813735128018361
0.641.371151198817740.00887768963680651
0.651.373133893347510.00983273325051074
0.661.375348298396580.0109813517207817
0.671.377833402198910.0122862700464174
0.681.380619777768210.0136974795011723
0.691.383726119005460.0151482028472927
0.71.387155850752420.0165604626158756
0.711.390894331206030.0178447834327893
0.721.394907339530350.0189065849910612
0.731.399141619172490.0196601261006516
0.741.403528150608340.0200379870068988
0.751.407988498324390.0200071162364512
0.761.412444008992950.0195836124709514
0.771.416826900275770.0188322663476225
0.781.421091525677580.0178698881368999
0.791.425223550768140.0168546878620099
0.81.429244676118820.0159646307114323
0.811.433211103964470.0153610550984376
0.821.437205272960270.0151536364799553
0.831.441322396540640.0153601599742662
0.841.445655691607390.0159019382269415
0.851.450286208801350.0166456574251636
0.861.455283848266560.0174617548278011
0.871.460724101555310.0183087152082378
0.881.466718821894350.0192913314983195
0.891.473448180046270.0206739549977834
0.91.48116721651550.0227773512557927
0.911.49015287059120.025699928501936
0.921.500572655215820.0289763978922059
0.931.512309175985280.0314603526037461
0.941.524851238146250.031713903471724
0.951.537388721799680.028900908619136
0.961.54911887410650.023685109890626
0.971.559500801467860.0180343685757751
0.981.568102248727560.0129461700159882
0.991.574191536167640.00707144390530437



Parameters (Session):
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.09'
par1 <- '0.01'
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')