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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 02 Jun 2009 00:55:00 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Jun/02/t1243925832kijy31k2doekaeu.htm/, Retrieved Fri, 10 May 2024 02:27:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41143, Retrieved Fri, 10 May 2024 02:27:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [opgave4oef2stap2] [2009-06-02 06:55:00] [791ed687546d9528c8a01d986e6abead] [Current]
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Dataseries X:
0.8832
0.8707
0.8766
0.8860
0.9170
0.9561
0.9935
0.9781
0.9806
0.9812
1.0013
1.0194
1.0622
1.0785
1.0797
1.0862
1.1556
1.1674
1.1365
1.1155
1.1267
1.1714
1.1710
1.2298
1.2638
1.2640
1.2261
1.1989
1.2000
1.2146
1.2266
1.2191
1.2224
1.2507
1.2997
1.3406
1.3123
1.3013
1.3185
1.2943
1.2697
1.2155
1.2041
1.2295
1.2234
1.2022
1.0000
1.1861
1.2126
1.1940
1.2028
1.2273
1.2767
1.2661
1.2681
1.2810
1.2722
1.2617
1.2888
1.3205
1.2993
1.3080
1.3246
1.3513
1.3518
1.3421
1.3726
1.3626
1.3910
1.4233
1.4683
1.4559
1.4728
1.4759
1.5520
1.5754
1.5554
1.5562
1.5759
1.4955
1.4342
1.3266
1.2744
1.3511
1.3244
1.2797
1.3050
1.3203




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41143&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41143&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41143&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.8740114249218090.00731700873289182
0.020.8805973487727230.0132031783221715
0.030.8904202975925860.0225455084855788
0.040.9034996407102120.0316755477307987
0.050.91900558958560.0372043981863975
0.060.9353362450489420.0380022371251154
0.070.9509053994094220.0353443285850905
0.080.9648047771216320.0316852919311901
0.090.97696490004980.0293023267884828
0.10.9879124123617140.029389648830278
0.110.9983911326652280.0318141754199956
0.121.009052598419930.035636281498472
0.131.020294791622980.0398014026203893
0.141.032236045226250.0434830942205393
0.151.044773978072410.0461991201637897
0.161.057677777844110.0477844898923661
0.171.070675593892840.0483202966428942
0.181.083515882282280.0480097726979413
0.191.095997246601830.047066832028428
0.21.107972734541340.0456393087838605
0.211.119339944175750.0438222631251883
0.221.130027847344150.0416637961828312
0.231.139987109402330.0392126894273622
0.241.149185817142000.0365355425995225
0.251.157609147480350.0337148690506994
0.261.165260361230530.0308459494177316
0.271.172161058260500.0280264561783206
0.281.178349836329170.0253322136670297
0.291.183879500751170.0228285974506524
0.31.188813428878860.0205641224222193
0.311.193221693682090.0185733580308546
0.321.197177367439660.0168748302234581
0.331.200753279477210.0154706678410682
0.341.20401945464150.0143543352317996
0.351.207041447157580.0135082740215037
0.361.209879707777930.0129129811556122
0.371.212589931037760.0125466967234372
0.381.215224059667990.0124038295625649
0.391.217831376304620.0124849717454417
0.41.220459004159880.0127883408025880
0.411.223151243819050.0133163003661190
0.421.225947494287120.0140422447440932
0.431.228878965783380.0149067342265683
0.441.231964856811790.0158413747675825
0.451.235208991214850.0167444944266094
0.461.238597976585180.0175110957717658
0.471.242101708523660.0180593788293806
0.481.245676550218130.0183229380660260
0.491.249270888940330.0182740280224198
0.51.252832180998880.0179285792390724
0.511.256314208595030.0173459343792996
0.521.259683192548480.016608112306761
0.531.262921651166380.0158175478259364
0.541.266029393544590.0150753362332287
0.551.269021647650730.0144621609521727
0.561.271924893555330.0140329012760970
0.571.274771370926670.0137982088150705
0.581.277593385528790.0137379148029305
0.591.280418446532050.0138050199519066
0.61.283265976112880.0139402851116188
0.611.286145932166740.0140850685972985
0.621.289059273748070.0141940033223595
0.631.291999868349230.0142405772073947
0.641.294957255132340.0142063611516336
0.651.297919662838100.0141012050838107
0.661.300876811240030.0139385966594812
0.671.303822233207310.0137437941610122
0.681.306755051231500.0135448401320911
0.691.309681252142040.0133750442756266
0.71.312614503256030.0132687050651325
0.711.315576491631680.0132633286364265
0.721.318596751737480.0133913137388324
0.731.321712082122420.0136832282535341
0.741.324965964266650.0141546618343777
0.751.328408766702320.0148189954719538
0.761.332099677843760.0156859783049574
0.771.336110942293550.0167929389538833
0.781.340533885046720.0182061640055636
0.791.345484529661550.0200296530474400
0.81.351104923325120.0223704608312271
0.811.357555508778510.0252920547433987
0.821.364995015615320.0287390678795935
0.831.373547941264010.0325012056358591
0.841.383265426841900.0361984685336343
0.851.394091746564530.039345453443426
0.861.405853209895880.0414572538181545
0.871.418285782185920.0422046696628537
0.881.431108713612190.0415739723524511
0.891.444131475692350.039984586215523
0.91.457352076684230.0382655303233198
0.911.470978285410430.0373799550001083
0.921.485306552796670.037757663795095
0.931.500459949833700.0386039058017877
0.941.516117035843370.0380502758858753
0.951.531467095061560.0344307589671478
0.961.545522934277930.0278157211034808
0.971.557539431515790.0203154498467575
0.981.567012204632730.0136831245308843
0.991.573288810142740.00674875356716837

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.874011424921809 & 0.00731700873289182 \tabularnewline
0.02 & 0.880597348772723 & 0.0132031783221715 \tabularnewline
0.03 & 0.890420297592586 & 0.0225455084855788 \tabularnewline
0.04 & 0.903499640710212 & 0.0316755477307987 \tabularnewline
0.05 & 0.9190055895856 & 0.0372043981863975 \tabularnewline
0.06 & 0.935336245048942 & 0.0380022371251154 \tabularnewline
0.07 & 0.950905399409422 & 0.0353443285850905 \tabularnewline
0.08 & 0.964804777121632 & 0.0316852919311901 \tabularnewline
0.09 & 0.9769649000498 & 0.0293023267884828 \tabularnewline
0.1 & 0.987912412361714 & 0.029389648830278 \tabularnewline
0.11 & 0.998391132665228 & 0.0318141754199956 \tabularnewline
0.12 & 1.00905259841993 & 0.035636281498472 \tabularnewline
0.13 & 1.02029479162298 & 0.0398014026203893 \tabularnewline
0.14 & 1.03223604522625 & 0.0434830942205393 \tabularnewline
0.15 & 1.04477397807241 & 0.0461991201637897 \tabularnewline
0.16 & 1.05767777784411 & 0.0477844898923661 \tabularnewline
0.17 & 1.07067559389284 & 0.0483202966428942 \tabularnewline
0.18 & 1.08351588228228 & 0.0480097726979413 \tabularnewline
0.19 & 1.09599724660183 & 0.047066832028428 \tabularnewline
0.2 & 1.10797273454134 & 0.0456393087838605 \tabularnewline
0.21 & 1.11933994417575 & 0.0438222631251883 \tabularnewline
0.22 & 1.13002784734415 & 0.0416637961828312 \tabularnewline
0.23 & 1.13998710940233 & 0.0392126894273622 \tabularnewline
0.24 & 1.14918581714200 & 0.0365355425995225 \tabularnewline
0.25 & 1.15760914748035 & 0.0337148690506994 \tabularnewline
0.26 & 1.16526036123053 & 0.0308459494177316 \tabularnewline
0.27 & 1.17216105826050 & 0.0280264561783206 \tabularnewline
0.28 & 1.17834983632917 & 0.0253322136670297 \tabularnewline
0.29 & 1.18387950075117 & 0.0228285974506524 \tabularnewline
0.3 & 1.18881342887886 & 0.0205641224222193 \tabularnewline
0.31 & 1.19322169368209 & 0.0185733580308546 \tabularnewline
0.32 & 1.19717736743966 & 0.0168748302234581 \tabularnewline
0.33 & 1.20075327947721 & 0.0154706678410682 \tabularnewline
0.34 & 1.2040194546415 & 0.0143543352317996 \tabularnewline
0.35 & 1.20704144715758 & 0.0135082740215037 \tabularnewline
0.36 & 1.20987970777793 & 0.0129129811556122 \tabularnewline
0.37 & 1.21258993103776 & 0.0125466967234372 \tabularnewline
0.38 & 1.21522405966799 & 0.0124038295625649 \tabularnewline
0.39 & 1.21783137630462 & 0.0124849717454417 \tabularnewline
0.4 & 1.22045900415988 & 0.0127883408025880 \tabularnewline
0.41 & 1.22315124381905 & 0.0133163003661190 \tabularnewline
0.42 & 1.22594749428712 & 0.0140422447440932 \tabularnewline
0.43 & 1.22887896578338 & 0.0149067342265683 \tabularnewline
0.44 & 1.23196485681179 & 0.0158413747675825 \tabularnewline
0.45 & 1.23520899121485 & 0.0167444944266094 \tabularnewline
0.46 & 1.23859797658518 & 0.0175110957717658 \tabularnewline
0.47 & 1.24210170852366 & 0.0180593788293806 \tabularnewline
0.48 & 1.24567655021813 & 0.0183229380660260 \tabularnewline
0.49 & 1.24927088894033 & 0.0182740280224198 \tabularnewline
0.5 & 1.25283218099888 & 0.0179285792390724 \tabularnewline
0.51 & 1.25631420859503 & 0.0173459343792996 \tabularnewline
0.52 & 1.25968319254848 & 0.016608112306761 \tabularnewline
0.53 & 1.26292165116638 & 0.0158175478259364 \tabularnewline
0.54 & 1.26602939354459 & 0.0150753362332287 \tabularnewline
0.55 & 1.26902164765073 & 0.0144621609521727 \tabularnewline
0.56 & 1.27192489355533 & 0.0140329012760970 \tabularnewline
0.57 & 1.27477137092667 & 0.0137982088150705 \tabularnewline
0.58 & 1.27759338552879 & 0.0137379148029305 \tabularnewline
0.59 & 1.28041844653205 & 0.0138050199519066 \tabularnewline
0.6 & 1.28326597611288 & 0.0139402851116188 \tabularnewline
0.61 & 1.28614593216674 & 0.0140850685972985 \tabularnewline
0.62 & 1.28905927374807 & 0.0141940033223595 \tabularnewline
0.63 & 1.29199986834923 & 0.0142405772073947 \tabularnewline
0.64 & 1.29495725513234 & 0.0142063611516336 \tabularnewline
0.65 & 1.29791966283810 & 0.0141012050838107 \tabularnewline
0.66 & 1.30087681124003 & 0.0139385966594812 \tabularnewline
0.67 & 1.30382223320731 & 0.0137437941610122 \tabularnewline
0.68 & 1.30675505123150 & 0.0135448401320911 \tabularnewline
0.69 & 1.30968125214204 & 0.0133750442756266 \tabularnewline
0.7 & 1.31261450325603 & 0.0132687050651325 \tabularnewline
0.71 & 1.31557649163168 & 0.0132633286364265 \tabularnewline
0.72 & 1.31859675173748 & 0.0133913137388324 \tabularnewline
0.73 & 1.32171208212242 & 0.0136832282535341 \tabularnewline
0.74 & 1.32496596426665 & 0.0141546618343777 \tabularnewline
0.75 & 1.32840876670232 & 0.0148189954719538 \tabularnewline
0.76 & 1.33209967784376 & 0.0156859783049574 \tabularnewline
0.77 & 1.33611094229355 & 0.0167929389538833 \tabularnewline
0.78 & 1.34053388504672 & 0.0182061640055636 \tabularnewline
0.79 & 1.34548452966155 & 0.0200296530474400 \tabularnewline
0.8 & 1.35110492332512 & 0.0223704608312271 \tabularnewline
0.81 & 1.35755550877851 & 0.0252920547433987 \tabularnewline
0.82 & 1.36499501561532 & 0.0287390678795935 \tabularnewline
0.83 & 1.37354794126401 & 0.0325012056358591 \tabularnewline
0.84 & 1.38326542684190 & 0.0361984685336343 \tabularnewline
0.85 & 1.39409174656453 & 0.039345453443426 \tabularnewline
0.86 & 1.40585320989588 & 0.0414572538181545 \tabularnewline
0.87 & 1.41828578218592 & 0.0422046696628537 \tabularnewline
0.88 & 1.43110871361219 & 0.0415739723524511 \tabularnewline
0.89 & 1.44413147569235 & 0.039984586215523 \tabularnewline
0.9 & 1.45735207668423 & 0.0382655303233198 \tabularnewline
0.91 & 1.47097828541043 & 0.0373799550001083 \tabularnewline
0.92 & 1.48530655279667 & 0.037757663795095 \tabularnewline
0.93 & 1.50045994983370 & 0.0386039058017877 \tabularnewline
0.94 & 1.51611703584337 & 0.0380502758858753 \tabularnewline
0.95 & 1.53146709506156 & 0.0344307589671478 \tabularnewline
0.96 & 1.54552293427793 & 0.0278157211034808 \tabularnewline
0.97 & 1.55753943151579 & 0.0203154498467575 \tabularnewline
0.98 & 1.56701220463273 & 0.0136831245308843 \tabularnewline
0.99 & 1.57328881014274 & 0.00674875356716837 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41143&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]0.874011424921809[/C][C]0.00731700873289182[/C][/ROW]
[ROW][C]0.02[/C][C]0.880597348772723[/C][C]0.0132031783221715[/C][/ROW]
[ROW][C]0.03[/C][C]0.890420297592586[/C][C]0.0225455084855788[/C][/ROW]
[ROW][C]0.04[/C][C]0.903499640710212[/C][C]0.0316755477307987[/C][/ROW]
[ROW][C]0.05[/C][C]0.9190055895856[/C][C]0.0372043981863975[/C][/ROW]
[ROW][C]0.06[/C][C]0.935336245048942[/C][C]0.0380022371251154[/C][/ROW]
[ROW][C]0.07[/C][C]0.950905399409422[/C][C]0.0353443285850905[/C][/ROW]
[ROW][C]0.08[/C][C]0.964804777121632[/C][C]0.0316852919311901[/C][/ROW]
[ROW][C]0.09[/C][C]0.9769649000498[/C][C]0.0293023267884828[/C][/ROW]
[ROW][C]0.1[/C][C]0.987912412361714[/C][C]0.029389648830278[/C][/ROW]
[ROW][C]0.11[/C][C]0.998391132665228[/C][C]0.0318141754199956[/C][/ROW]
[ROW][C]0.12[/C][C]1.00905259841993[/C][C]0.035636281498472[/C][/ROW]
[ROW][C]0.13[/C][C]1.02029479162298[/C][C]0.0398014026203893[/C][/ROW]
[ROW][C]0.14[/C][C]1.03223604522625[/C][C]0.0434830942205393[/C][/ROW]
[ROW][C]0.15[/C][C]1.04477397807241[/C][C]0.0461991201637897[/C][/ROW]
[ROW][C]0.16[/C][C]1.05767777784411[/C][C]0.0477844898923661[/C][/ROW]
[ROW][C]0.17[/C][C]1.07067559389284[/C][C]0.0483202966428942[/C][/ROW]
[ROW][C]0.18[/C][C]1.08351588228228[/C][C]0.0480097726979413[/C][/ROW]
[ROW][C]0.19[/C][C]1.09599724660183[/C][C]0.047066832028428[/C][/ROW]
[ROW][C]0.2[/C][C]1.10797273454134[/C][C]0.0456393087838605[/C][/ROW]
[ROW][C]0.21[/C][C]1.11933994417575[/C][C]0.0438222631251883[/C][/ROW]
[ROW][C]0.22[/C][C]1.13002784734415[/C][C]0.0416637961828312[/C][/ROW]
[ROW][C]0.23[/C][C]1.13998710940233[/C][C]0.0392126894273622[/C][/ROW]
[ROW][C]0.24[/C][C]1.14918581714200[/C][C]0.0365355425995225[/C][/ROW]
[ROW][C]0.25[/C][C]1.15760914748035[/C][C]0.0337148690506994[/C][/ROW]
[ROW][C]0.26[/C][C]1.16526036123053[/C][C]0.0308459494177316[/C][/ROW]
[ROW][C]0.27[/C][C]1.17216105826050[/C][C]0.0280264561783206[/C][/ROW]
[ROW][C]0.28[/C][C]1.17834983632917[/C][C]0.0253322136670297[/C][/ROW]
[ROW][C]0.29[/C][C]1.18387950075117[/C][C]0.0228285974506524[/C][/ROW]
[ROW][C]0.3[/C][C]1.18881342887886[/C][C]0.0205641224222193[/C][/ROW]
[ROW][C]0.31[/C][C]1.19322169368209[/C][C]0.0185733580308546[/C][/ROW]
[ROW][C]0.32[/C][C]1.19717736743966[/C][C]0.0168748302234581[/C][/ROW]
[ROW][C]0.33[/C][C]1.20075327947721[/C][C]0.0154706678410682[/C][/ROW]
[ROW][C]0.34[/C][C]1.2040194546415[/C][C]0.0143543352317996[/C][/ROW]
[ROW][C]0.35[/C][C]1.20704144715758[/C][C]0.0135082740215037[/C][/ROW]
[ROW][C]0.36[/C][C]1.20987970777793[/C][C]0.0129129811556122[/C][/ROW]
[ROW][C]0.37[/C][C]1.21258993103776[/C][C]0.0125466967234372[/C][/ROW]
[ROW][C]0.38[/C][C]1.21522405966799[/C][C]0.0124038295625649[/C][/ROW]
[ROW][C]0.39[/C][C]1.21783137630462[/C][C]0.0124849717454417[/C][/ROW]
[ROW][C]0.4[/C][C]1.22045900415988[/C][C]0.0127883408025880[/C][/ROW]
[ROW][C]0.41[/C][C]1.22315124381905[/C][C]0.0133163003661190[/C][/ROW]
[ROW][C]0.42[/C][C]1.22594749428712[/C][C]0.0140422447440932[/C][/ROW]
[ROW][C]0.43[/C][C]1.22887896578338[/C][C]0.0149067342265683[/C][/ROW]
[ROW][C]0.44[/C][C]1.23196485681179[/C][C]0.0158413747675825[/C][/ROW]
[ROW][C]0.45[/C][C]1.23520899121485[/C][C]0.0167444944266094[/C][/ROW]
[ROW][C]0.46[/C][C]1.23859797658518[/C][C]0.0175110957717658[/C][/ROW]
[ROW][C]0.47[/C][C]1.24210170852366[/C][C]0.0180593788293806[/C][/ROW]
[ROW][C]0.48[/C][C]1.24567655021813[/C][C]0.0183229380660260[/C][/ROW]
[ROW][C]0.49[/C][C]1.24927088894033[/C][C]0.0182740280224198[/C][/ROW]
[ROW][C]0.5[/C][C]1.25283218099888[/C][C]0.0179285792390724[/C][/ROW]
[ROW][C]0.51[/C][C]1.25631420859503[/C][C]0.0173459343792996[/C][/ROW]
[ROW][C]0.52[/C][C]1.25968319254848[/C][C]0.016608112306761[/C][/ROW]
[ROW][C]0.53[/C][C]1.26292165116638[/C][C]0.0158175478259364[/C][/ROW]
[ROW][C]0.54[/C][C]1.26602939354459[/C][C]0.0150753362332287[/C][/ROW]
[ROW][C]0.55[/C][C]1.26902164765073[/C][C]0.0144621609521727[/C][/ROW]
[ROW][C]0.56[/C][C]1.27192489355533[/C][C]0.0140329012760970[/C][/ROW]
[ROW][C]0.57[/C][C]1.27477137092667[/C][C]0.0137982088150705[/C][/ROW]
[ROW][C]0.58[/C][C]1.27759338552879[/C][C]0.0137379148029305[/C][/ROW]
[ROW][C]0.59[/C][C]1.28041844653205[/C][C]0.0138050199519066[/C][/ROW]
[ROW][C]0.6[/C][C]1.28326597611288[/C][C]0.0139402851116188[/C][/ROW]
[ROW][C]0.61[/C][C]1.28614593216674[/C][C]0.0140850685972985[/C][/ROW]
[ROW][C]0.62[/C][C]1.28905927374807[/C][C]0.0141940033223595[/C][/ROW]
[ROW][C]0.63[/C][C]1.29199986834923[/C][C]0.0142405772073947[/C][/ROW]
[ROW][C]0.64[/C][C]1.29495725513234[/C][C]0.0142063611516336[/C][/ROW]
[ROW][C]0.65[/C][C]1.29791966283810[/C][C]0.0141012050838107[/C][/ROW]
[ROW][C]0.66[/C][C]1.30087681124003[/C][C]0.0139385966594812[/C][/ROW]
[ROW][C]0.67[/C][C]1.30382223320731[/C][C]0.0137437941610122[/C][/ROW]
[ROW][C]0.68[/C][C]1.30675505123150[/C][C]0.0135448401320911[/C][/ROW]
[ROW][C]0.69[/C][C]1.30968125214204[/C][C]0.0133750442756266[/C][/ROW]
[ROW][C]0.7[/C][C]1.31261450325603[/C][C]0.0132687050651325[/C][/ROW]
[ROW][C]0.71[/C][C]1.31557649163168[/C][C]0.0132633286364265[/C][/ROW]
[ROW][C]0.72[/C][C]1.31859675173748[/C][C]0.0133913137388324[/C][/ROW]
[ROW][C]0.73[/C][C]1.32171208212242[/C][C]0.0136832282535341[/C][/ROW]
[ROW][C]0.74[/C][C]1.32496596426665[/C][C]0.0141546618343777[/C][/ROW]
[ROW][C]0.75[/C][C]1.32840876670232[/C][C]0.0148189954719538[/C][/ROW]
[ROW][C]0.76[/C][C]1.33209967784376[/C][C]0.0156859783049574[/C][/ROW]
[ROW][C]0.77[/C][C]1.33611094229355[/C][C]0.0167929389538833[/C][/ROW]
[ROW][C]0.78[/C][C]1.34053388504672[/C][C]0.0182061640055636[/C][/ROW]
[ROW][C]0.79[/C][C]1.34548452966155[/C][C]0.0200296530474400[/C][/ROW]
[ROW][C]0.8[/C][C]1.35110492332512[/C][C]0.0223704608312271[/C][/ROW]
[ROW][C]0.81[/C][C]1.35755550877851[/C][C]0.0252920547433987[/C][/ROW]
[ROW][C]0.82[/C][C]1.36499501561532[/C][C]0.0287390678795935[/C][/ROW]
[ROW][C]0.83[/C][C]1.37354794126401[/C][C]0.0325012056358591[/C][/ROW]
[ROW][C]0.84[/C][C]1.38326542684190[/C][C]0.0361984685336343[/C][/ROW]
[ROW][C]0.85[/C][C]1.39409174656453[/C][C]0.039345453443426[/C][/ROW]
[ROW][C]0.86[/C][C]1.40585320989588[/C][C]0.0414572538181545[/C][/ROW]
[ROW][C]0.87[/C][C]1.41828578218592[/C][C]0.0422046696628537[/C][/ROW]
[ROW][C]0.88[/C][C]1.43110871361219[/C][C]0.0415739723524511[/C][/ROW]
[ROW][C]0.89[/C][C]1.44413147569235[/C][C]0.039984586215523[/C][/ROW]
[ROW][C]0.9[/C][C]1.45735207668423[/C][C]0.0382655303233198[/C][/ROW]
[ROW][C]0.91[/C][C]1.47097828541043[/C][C]0.0373799550001083[/C][/ROW]
[ROW][C]0.92[/C][C]1.48530655279667[/C][C]0.037757663795095[/C][/ROW]
[ROW][C]0.93[/C][C]1.50045994983370[/C][C]0.0386039058017877[/C][/ROW]
[ROW][C]0.94[/C][C]1.51611703584337[/C][C]0.0380502758858753[/C][/ROW]
[ROW][C]0.95[/C][C]1.53146709506156[/C][C]0.0344307589671478[/C][/ROW]
[ROW][C]0.96[/C][C]1.54552293427793[/C][C]0.0278157211034808[/C][/ROW]
[ROW][C]0.97[/C][C]1.55753943151579[/C][C]0.0203154498467575[/C][/ROW]
[ROW][C]0.98[/C][C]1.56701220463273[/C][C]0.0136831245308843[/C][/ROW]
[ROW][C]0.99[/C][C]1.57328881014274[/C][C]0.00674875356716837[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41143&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41143&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
0.010.8740114249218090.00731700873289182
0.020.8805973487727230.0132031783221715
0.030.8904202975925860.0225455084855788
0.040.9034996407102120.0316755477307987
0.050.91900558958560.0372043981863975
0.060.9353362450489420.0380022371251154
0.070.9509053994094220.0353443285850905
0.080.9648047771216320.0316852919311901
0.090.97696490004980.0293023267884828
0.10.9879124123617140.029389648830278
0.110.9983911326652280.0318141754199956
0.121.009052598419930.035636281498472
0.131.020294791622980.0398014026203893
0.141.032236045226250.0434830942205393
0.151.044773978072410.0461991201637897
0.161.057677777844110.0477844898923661
0.171.070675593892840.0483202966428942
0.181.083515882282280.0480097726979413
0.191.095997246601830.047066832028428
0.21.107972734541340.0456393087838605
0.211.119339944175750.0438222631251883
0.221.130027847344150.0416637961828312
0.231.139987109402330.0392126894273622
0.241.149185817142000.0365355425995225
0.251.157609147480350.0337148690506994
0.261.165260361230530.0308459494177316
0.271.172161058260500.0280264561783206
0.281.178349836329170.0253322136670297
0.291.183879500751170.0228285974506524
0.31.188813428878860.0205641224222193
0.311.193221693682090.0185733580308546
0.321.197177367439660.0168748302234581
0.331.200753279477210.0154706678410682
0.341.20401945464150.0143543352317996
0.351.207041447157580.0135082740215037
0.361.209879707777930.0129129811556122
0.371.212589931037760.0125466967234372
0.381.215224059667990.0124038295625649
0.391.217831376304620.0124849717454417
0.41.220459004159880.0127883408025880
0.411.223151243819050.0133163003661190
0.421.225947494287120.0140422447440932
0.431.228878965783380.0149067342265683
0.441.231964856811790.0158413747675825
0.451.235208991214850.0167444944266094
0.461.238597976585180.0175110957717658
0.471.242101708523660.0180593788293806
0.481.245676550218130.0183229380660260
0.491.249270888940330.0182740280224198
0.51.252832180998880.0179285792390724
0.511.256314208595030.0173459343792996
0.521.259683192548480.016608112306761
0.531.262921651166380.0158175478259364
0.541.266029393544590.0150753362332287
0.551.269021647650730.0144621609521727
0.561.271924893555330.0140329012760970
0.571.274771370926670.0137982088150705
0.581.277593385528790.0137379148029305
0.591.280418446532050.0138050199519066
0.61.283265976112880.0139402851116188
0.611.286145932166740.0140850685972985
0.621.289059273748070.0141940033223595
0.631.291999868349230.0142405772073947
0.641.294957255132340.0142063611516336
0.651.297919662838100.0141012050838107
0.661.300876811240030.0139385966594812
0.671.303822233207310.0137437941610122
0.681.306755051231500.0135448401320911
0.691.309681252142040.0133750442756266
0.71.312614503256030.0132687050651325
0.711.315576491631680.0132633286364265
0.721.318596751737480.0133913137388324
0.731.321712082122420.0136832282535341
0.741.324965964266650.0141546618343777
0.751.328408766702320.0148189954719538
0.761.332099677843760.0156859783049574
0.771.336110942293550.0167929389538833
0.781.340533885046720.0182061640055636
0.791.345484529661550.0200296530474400
0.81.351104923325120.0223704608312271
0.811.357555508778510.0252920547433987
0.821.364995015615320.0287390678795935
0.831.373547941264010.0325012056358591
0.841.383265426841900.0361984685336343
0.851.394091746564530.039345453443426
0.861.405853209895880.0414572538181545
0.871.418285782185920.0422046696628537
0.881.431108713612190.0415739723524511
0.891.444131475692350.039984586215523
0.91.457352076684230.0382655303233198
0.911.470978285410430.0373799550001083
0.921.485306552796670.037757663795095
0.931.500459949833700.0386039058017877
0.941.516117035843370.0380502758858753
0.951.531467095061560.0344307589671478
0.961.545522934277930.0278157211034808
0.971.557539431515790.0203154498467575
0.981.567012204632730.0136831245308843
0.991.573288810142740.00674875356716837



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')