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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 09 Mar 2009 13:55:44 -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/Mar/09/t1236628577v516odrostk2rin.htm/, Retrieved Mon, 29 Apr 2024 01:25:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38827, Retrieved Mon, 29 Apr 2024 01:25:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Thomas van den Bo...] [2009-03-09 19:55:44] [50e97696ebad247f45d73cd9926afb25] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
36.80
35.40
33.00
28.73
26.70
26.46
24.60
28.00
31.60
33.50
34.50
35.00
34.76
33.50
32.74
34.40
31.93
29.24
25.75
26.03
26.08
23.80
20.61
19.70
18.18
19.60
20.60
20.03
23.00
23.60
22.56
22.55
23.75
24.92
24.50
30.58
28.07
27.70
27.00
25.23
26.86
25.60
24.55
23.96
23.50
23.64
21.55
21.05
21.89
21.98
21.45
22.15
22.58
23.80
23.30
22.38
23.00
21.96
22.40
20.80
20.40
16.00
12.78
9.75
7.50
11.24
12.24
12.75
12.52
14.49
14.21
14.32
22.15
22.58
23.80
23.30
22.38
23.00
21.96
22.40
20.80
20.40
16.00
12.78
9.75
7.50
11.24
12.24
12.75
12.52
14.49
14.21
14.32

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38827&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38827&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38827&T=0

As an alternative you can also use a QR Code:  
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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.017.792653982204770.746755705823406
0.028.45095298621.28549060975903
0.039.271281114224431.34845857978328
0.0410.04793423496641.23037009093718
0.0510.70021858612871.09751422303317
0.0611.22681674158830.958558566971197
0.0711.64694826257590.813976203203756
0.0811.98077534335930.683676139112135
0.0912.24909976389250.591186748287493
0.112.47405019129320.55325483083052
0.1112.67724975730810.573076479829061
0.1212.87728398788710.639237024066094
0.1313.08807947123910.734393747956653
0.1413.31877170017190.844987458480314
0.1513.57489576623470.965935459641914
0.1613.86022993862951.10066227530896
0.1714.17839189247241.25685842015359
0.1814.53343090828791.43920608048479
0.1914.92913852494991.64314972118767
0.215.36739753474361.85308515591103
0.2115.84632449292162.04539946855918
0.2216.35904740882922.19422777651020
0.2316.89369205831832.27802275358082
0.2417.43467947306722.28454400768695
0.2517.96497683233672.21334609846040
0.2618.46866478258272.07530983925824
0.2718.93315413169371.88957978788239
0.2819.35056713406651.67928835201454
0.2919.71809115880301.46697715464503
0.320.03740119023261.27102098901072
0.3120.31344830685461.10344919932929
0.3220.55298944309400.969314582736373
0.3320.76320068632890.867394247587046
0.3420.95061161402660.791924751505055
0.3521.12046854746350.734982646744895
0.3621.27651843004800.688921556849679
0.3721.42112482024470.64775690618379
0.3821.5555898222880.607738519828455
0.3921.68055551151390.56736294651652
0.421.79638391697490.526780433999596
0.4121.90345240208930.487219510726697
0.4222.00233930218830.45045859564743
0.4322.09390445365550.418257681433474
0.4422.17928677380650.39209363881927
0.4522.25984659841590.372997805427247
0.4622.33707744282960.361545030083334
0.4722.41250494143470.357710902487441
0.4822.48758417162960.360924744817798
0.4922.56360286121570.370010049551850
0.522.6415974554150.383458620624374
0.5122.72229035724730.399388715704619
0.5222.80605782542570.415877542398957
0.5322.89293727155090.431181195781902
0.5422.98267921073750.443937690013136
0.5523.07484311262910.453436069322171
0.5623.16892892047360.459656784382414
0.5723.26452853336600.463402162895548
0.5823.36147564498530.46630751839802
0.5923.45996941486340.470574144355464
0.623.56064859257930.478671834849329
0.6123.66459843140850.493019024772689
0.6223.77328267683920.515323275801182
0.6323.88840570539740.546354151108138
0.6424.01172315572730.585603146938782
0.6524.14483028564280.631436133588278
0.6624.28896326984490.681217801648236
0.6724.4448483019280.732034636853249
0.6824.61262679229930.78074585996218
0.6924.79187363984690.824694318301974
0.724.98171173695150.861980820073833
0.7125.18101188375070.89180175199245
0.7225.38865524674760.91466285347932
0.7325.60382729368590.93241322372298
0.7425.82630941011850.948096680415151
0.7526.0567378778190.96568805490074
0.7626.29680796832780.989765312689436
0.7726.54940828381111.02499565930977
0.7826.81866863437891.07585701299335
0.7927.10988603991971.14599521899842
0.827.4292590756121.23781833973568
0.8127.78332896920931.35112560198641
0.8228.17803287619381.48170815524073
0.8328.61736087285631.61967754690567
0.8429.10178782897651.74917417322652
0.8529.62688075890231.8499497658892
0.8630.18265078712401.90145431547658
0.8730.75418532005321.88849262618568
0.8831.32376724484931.80662745121761
0.8931.87410305734651.66490664403519
0.932.39165434294891.4842859586931
0.9132.86875454730341.29115563942909
0.9233.3035728808161.10785979992399
0.9333.69821408415890.944277065558646
0.9434.05696917524170.79769656363306
0.9534.3881889712980.665176707707962
0.9634.71379306471620.562385199023772
0.9735.08714495134070.540013418680547
0.9835.59568817350020.6871009043824
0.9936.26022342719301.04026906082675

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7.79265398220477 & 0.746755705823406 \tabularnewline
0.02 & 8.4509529862 & 1.28549060975903 \tabularnewline
0.03 & 9.27128111422443 & 1.34845857978328 \tabularnewline
0.04 & 10.0479342349664 & 1.23037009093718 \tabularnewline
0.05 & 10.7002185861287 & 1.09751422303317 \tabularnewline
0.06 & 11.2268167415883 & 0.958558566971197 \tabularnewline
0.07 & 11.6469482625759 & 0.813976203203756 \tabularnewline
0.08 & 11.9807753433593 & 0.683676139112135 \tabularnewline
0.09 & 12.2490997638925 & 0.591186748287493 \tabularnewline
0.1 & 12.4740501912932 & 0.55325483083052 \tabularnewline
0.11 & 12.6772497573081 & 0.573076479829061 \tabularnewline
0.12 & 12.8772839878871 & 0.639237024066094 \tabularnewline
0.13 & 13.0880794712391 & 0.734393747956653 \tabularnewline
0.14 & 13.3187717001719 & 0.844987458480314 \tabularnewline
0.15 & 13.5748957662347 & 0.965935459641914 \tabularnewline
0.16 & 13.8602299386295 & 1.10066227530896 \tabularnewline
0.17 & 14.1783918924724 & 1.25685842015359 \tabularnewline
0.18 & 14.5334309082879 & 1.43920608048479 \tabularnewline
0.19 & 14.9291385249499 & 1.64314972118767 \tabularnewline
0.2 & 15.3673975347436 & 1.85308515591103 \tabularnewline
0.21 & 15.8463244929216 & 2.04539946855918 \tabularnewline
0.22 & 16.3590474088292 & 2.19422777651020 \tabularnewline
0.23 & 16.8936920583183 & 2.27802275358082 \tabularnewline
0.24 & 17.4346794730672 & 2.28454400768695 \tabularnewline
0.25 & 17.9649768323367 & 2.21334609846040 \tabularnewline
0.26 & 18.4686647825827 & 2.07530983925824 \tabularnewline
0.27 & 18.9331541316937 & 1.88957978788239 \tabularnewline
0.28 & 19.3505671340665 & 1.67928835201454 \tabularnewline
0.29 & 19.7180911588030 & 1.46697715464503 \tabularnewline
0.3 & 20.0374011902326 & 1.27102098901072 \tabularnewline
0.31 & 20.3134483068546 & 1.10344919932929 \tabularnewline
0.32 & 20.5529894430940 & 0.969314582736373 \tabularnewline
0.33 & 20.7632006863289 & 0.867394247587046 \tabularnewline
0.34 & 20.9506116140266 & 0.791924751505055 \tabularnewline
0.35 & 21.1204685474635 & 0.734982646744895 \tabularnewline
0.36 & 21.2765184300480 & 0.688921556849679 \tabularnewline
0.37 & 21.4211248202447 & 0.64775690618379 \tabularnewline
0.38 & 21.555589822288 & 0.607738519828455 \tabularnewline
0.39 & 21.6805555115139 & 0.56736294651652 \tabularnewline
0.4 & 21.7963839169749 & 0.526780433999596 \tabularnewline
0.41 & 21.9034524020893 & 0.487219510726697 \tabularnewline
0.42 & 22.0023393021883 & 0.45045859564743 \tabularnewline
0.43 & 22.0939044536555 & 0.418257681433474 \tabularnewline
0.44 & 22.1792867738065 & 0.39209363881927 \tabularnewline
0.45 & 22.2598465984159 & 0.372997805427247 \tabularnewline
0.46 & 22.3370774428296 & 0.361545030083334 \tabularnewline
0.47 & 22.4125049414347 & 0.357710902487441 \tabularnewline
0.48 & 22.4875841716296 & 0.360924744817798 \tabularnewline
0.49 & 22.5636028612157 & 0.370010049551850 \tabularnewline
0.5 & 22.641597455415 & 0.383458620624374 \tabularnewline
0.51 & 22.7222903572473 & 0.399388715704619 \tabularnewline
0.52 & 22.8060578254257 & 0.415877542398957 \tabularnewline
0.53 & 22.8929372715509 & 0.431181195781902 \tabularnewline
0.54 & 22.9826792107375 & 0.443937690013136 \tabularnewline
0.55 & 23.0748431126291 & 0.453436069322171 \tabularnewline
0.56 & 23.1689289204736 & 0.459656784382414 \tabularnewline
0.57 & 23.2645285333660 & 0.463402162895548 \tabularnewline
0.58 & 23.3614756449853 & 0.46630751839802 \tabularnewline
0.59 & 23.4599694148634 & 0.470574144355464 \tabularnewline
0.6 & 23.5606485925793 & 0.478671834849329 \tabularnewline
0.61 & 23.6645984314085 & 0.493019024772689 \tabularnewline
0.62 & 23.7732826768392 & 0.515323275801182 \tabularnewline
0.63 & 23.8884057053974 & 0.546354151108138 \tabularnewline
0.64 & 24.0117231557273 & 0.585603146938782 \tabularnewline
0.65 & 24.1448302856428 & 0.631436133588278 \tabularnewline
0.66 & 24.2889632698449 & 0.681217801648236 \tabularnewline
0.67 & 24.444848301928 & 0.732034636853249 \tabularnewline
0.68 & 24.6126267922993 & 0.78074585996218 \tabularnewline
0.69 & 24.7918736398469 & 0.824694318301974 \tabularnewline
0.7 & 24.9817117369515 & 0.861980820073833 \tabularnewline
0.71 & 25.1810118837507 & 0.89180175199245 \tabularnewline
0.72 & 25.3886552467476 & 0.91466285347932 \tabularnewline
0.73 & 25.6038272936859 & 0.93241322372298 \tabularnewline
0.74 & 25.8263094101185 & 0.948096680415151 \tabularnewline
0.75 & 26.056737877819 & 0.96568805490074 \tabularnewline
0.76 & 26.2968079683278 & 0.989765312689436 \tabularnewline
0.77 & 26.5494082838111 & 1.02499565930977 \tabularnewline
0.78 & 26.8186686343789 & 1.07585701299335 \tabularnewline
0.79 & 27.1098860399197 & 1.14599521899842 \tabularnewline
0.8 & 27.429259075612 & 1.23781833973568 \tabularnewline
0.81 & 27.7833289692093 & 1.35112560198641 \tabularnewline
0.82 & 28.1780328761938 & 1.48170815524073 \tabularnewline
0.83 & 28.6173608728563 & 1.61967754690567 \tabularnewline
0.84 & 29.1017878289765 & 1.74917417322652 \tabularnewline
0.85 & 29.6268807589023 & 1.8499497658892 \tabularnewline
0.86 & 30.1826507871240 & 1.90145431547658 \tabularnewline
0.87 & 30.7541853200532 & 1.88849262618568 \tabularnewline
0.88 & 31.3237672448493 & 1.80662745121761 \tabularnewline
0.89 & 31.8741030573465 & 1.66490664403519 \tabularnewline
0.9 & 32.3916543429489 & 1.4842859586931 \tabularnewline
0.91 & 32.8687545473034 & 1.29115563942909 \tabularnewline
0.92 & 33.303572880816 & 1.10785979992399 \tabularnewline
0.93 & 33.6982140841589 & 0.944277065558646 \tabularnewline
0.94 & 34.0569691752417 & 0.79769656363306 \tabularnewline
0.95 & 34.388188971298 & 0.665176707707962 \tabularnewline
0.96 & 34.7137930647162 & 0.562385199023772 \tabularnewline
0.97 & 35.0871449513407 & 0.540013418680547 \tabularnewline
0.98 & 35.5956881735002 & 0.6871009043824 \tabularnewline
0.99 & 36.2602234271930 & 1.04026906082675 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38827&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]7.79265398220477[/C][C]0.746755705823406[/C][/ROW]
[ROW][C]0.02[/C][C]8.4509529862[/C][C]1.28549060975903[/C][/ROW]
[ROW][C]0.03[/C][C]9.27128111422443[/C][C]1.34845857978328[/C][/ROW]
[ROW][C]0.04[/C][C]10.0479342349664[/C][C]1.23037009093718[/C][/ROW]
[ROW][C]0.05[/C][C]10.7002185861287[/C][C]1.09751422303317[/C][/ROW]
[ROW][C]0.06[/C][C]11.2268167415883[/C][C]0.958558566971197[/C][/ROW]
[ROW][C]0.07[/C][C]11.6469482625759[/C][C]0.813976203203756[/C][/ROW]
[ROW][C]0.08[/C][C]11.9807753433593[/C][C]0.683676139112135[/C][/ROW]
[ROW][C]0.09[/C][C]12.2490997638925[/C][C]0.591186748287493[/C][/ROW]
[ROW][C]0.1[/C][C]12.4740501912932[/C][C]0.55325483083052[/C][/ROW]
[ROW][C]0.11[/C][C]12.6772497573081[/C][C]0.573076479829061[/C][/ROW]
[ROW][C]0.12[/C][C]12.8772839878871[/C][C]0.639237024066094[/C][/ROW]
[ROW][C]0.13[/C][C]13.0880794712391[/C][C]0.734393747956653[/C][/ROW]
[ROW][C]0.14[/C][C]13.3187717001719[/C][C]0.844987458480314[/C][/ROW]
[ROW][C]0.15[/C][C]13.5748957662347[/C][C]0.965935459641914[/C][/ROW]
[ROW][C]0.16[/C][C]13.8602299386295[/C][C]1.10066227530896[/C][/ROW]
[ROW][C]0.17[/C][C]14.1783918924724[/C][C]1.25685842015359[/C][/ROW]
[ROW][C]0.18[/C][C]14.5334309082879[/C][C]1.43920608048479[/C][/ROW]
[ROW][C]0.19[/C][C]14.9291385249499[/C][C]1.64314972118767[/C][/ROW]
[ROW][C]0.2[/C][C]15.3673975347436[/C][C]1.85308515591103[/C][/ROW]
[ROW][C]0.21[/C][C]15.8463244929216[/C][C]2.04539946855918[/C][/ROW]
[ROW][C]0.22[/C][C]16.3590474088292[/C][C]2.19422777651020[/C][/ROW]
[ROW][C]0.23[/C][C]16.8936920583183[/C][C]2.27802275358082[/C][/ROW]
[ROW][C]0.24[/C][C]17.4346794730672[/C][C]2.28454400768695[/C][/ROW]
[ROW][C]0.25[/C][C]17.9649768323367[/C][C]2.21334609846040[/C][/ROW]
[ROW][C]0.26[/C][C]18.4686647825827[/C][C]2.07530983925824[/C][/ROW]
[ROW][C]0.27[/C][C]18.9331541316937[/C][C]1.88957978788239[/C][/ROW]
[ROW][C]0.28[/C][C]19.3505671340665[/C][C]1.67928835201454[/C][/ROW]
[ROW][C]0.29[/C][C]19.7180911588030[/C][C]1.46697715464503[/C][/ROW]
[ROW][C]0.3[/C][C]20.0374011902326[/C][C]1.27102098901072[/C][/ROW]
[ROW][C]0.31[/C][C]20.3134483068546[/C][C]1.10344919932929[/C][/ROW]
[ROW][C]0.32[/C][C]20.5529894430940[/C][C]0.969314582736373[/C][/ROW]
[ROW][C]0.33[/C][C]20.7632006863289[/C][C]0.867394247587046[/C][/ROW]
[ROW][C]0.34[/C][C]20.9506116140266[/C][C]0.791924751505055[/C][/ROW]
[ROW][C]0.35[/C][C]21.1204685474635[/C][C]0.734982646744895[/C][/ROW]
[ROW][C]0.36[/C][C]21.2765184300480[/C][C]0.688921556849679[/C][/ROW]
[ROW][C]0.37[/C][C]21.4211248202447[/C][C]0.64775690618379[/C][/ROW]
[ROW][C]0.38[/C][C]21.555589822288[/C][C]0.607738519828455[/C][/ROW]
[ROW][C]0.39[/C][C]21.6805555115139[/C][C]0.56736294651652[/C][/ROW]
[ROW][C]0.4[/C][C]21.7963839169749[/C][C]0.526780433999596[/C][/ROW]
[ROW][C]0.41[/C][C]21.9034524020893[/C][C]0.487219510726697[/C][/ROW]
[ROW][C]0.42[/C][C]22.0023393021883[/C][C]0.45045859564743[/C][/ROW]
[ROW][C]0.43[/C][C]22.0939044536555[/C][C]0.418257681433474[/C][/ROW]
[ROW][C]0.44[/C][C]22.1792867738065[/C][C]0.39209363881927[/C][/ROW]
[ROW][C]0.45[/C][C]22.2598465984159[/C][C]0.372997805427247[/C][/ROW]
[ROW][C]0.46[/C][C]22.3370774428296[/C][C]0.361545030083334[/C][/ROW]
[ROW][C]0.47[/C][C]22.4125049414347[/C][C]0.357710902487441[/C][/ROW]
[ROW][C]0.48[/C][C]22.4875841716296[/C][C]0.360924744817798[/C][/ROW]
[ROW][C]0.49[/C][C]22.5636028612157[/C][C]0.370010049551850[/C][/ROW]
[ROW][C]0.5[/C][C]22.641597455415[/C][C]0.383458620624374[/C][/ROW]
[ROW][C]0.51[/C][C]22.7222903572473[/C][C]0.399388715704619[/C][/ROW]
[ROW][C]0.52[/C][C]22.8060578254257[/C][C]0.415877542398957[/C][/ROW]
[ROW][C]0.53[/C][C]22.8929372715509[/C][C]0.431181195781902[/C][/ROW]
[ROW][C]0.54[/C][C]22.9826792107375[/C][C]0.443937690013136[/C][/ROW]
[ROW][C]0.55[/C][C]23.0748431126291[/C][C]0.453436069322171[/C][/ROW]
[ROW][C]0.56[/C][C]23.1689289204736[/C][C]0.459656784382414[/C][/ROW]
[ROW][C]0.57[/C][C]23.2645285333660[/C][C]0.463402162895548[/C][/ROW]
[ROW][C]0.58[/C][C]23.3614756449853[/C][C]0.46630751839802[/C][/ROW]
[ROW][C]0.59[/C][C]23.4599694148634[/C][C]0.470574144355464[/C][/ROW]
[ROW][C]0.6[/C][C]23.5606485925793[/C][C]0.478671834849329[/C][/ROW]
[ROW][C]0.61[/C][C]23.6645984314085[/C][C]0.493019024772689[/C][/ROW]
[ROW][C]0.62[/C][C]23.7732826768392[/C][C]0.515323275801182[/C][/ROW]
[ROW][C]0.63[/C][C]23.8884057053974[/C][C]0.546354151108138[/C][/ROW]
[ROW][C]0.64[/C][C]24.0117231557273[/C][C]0.585603146938782[/C][/ROW]
[ROW][C]0.65[/C][C]24.1448302856428[/C][C]0.631436133588278[/C][/ROW]
[ROW][C]0.66[/C][C]24.2889632698449[/C][C]0.681217801648236[/C][/ROW]
[ROW][C]0.67[/C][C]24.444848301928[/C][C]0.732034636853249[/C][/ROW]
[ROW][C]0.68[/C][C]24.6126267922993[/C][C]0.78074585996218[/C][/ROW]
[ROW][C]0.69[/C][C]24.7918736398469[/C][C]0.824694318301974[/C][/ROW]
[ROW][C]0.7[/C][C]24.9817117369515[/C][C]0.861980820073833[/C][/ROW]
[ROW][C]0.71[/C][C]25.1810118837507[/C][C]0.89180175199245[/C][/ROW]
[ROW][C]0.72[/C][C]25.3886552467476[/C][C]0.91466285347932[/C][/ROW]
[ROW][C]0.73[/C][C]25.6038272936859[/C][C]0.93241322372298[/C][/ROW]
[ROW][C]0.74[/C][C]25.8263094101185[/C][C]0.948096680415151[/C][/ROW]
[ROW][C]0.75[/C][C]26.056737877819[/C][C]0.96568805490074[/C][/ROW]
[ROW][C]0.76[/C][C]26.2968079683278[/C][C]0.989765312689436[/C][/ROW]
[ROW][C]0.77[/C][C]26.5494082838111[/C][C]1.02499565930977[/C][/ROW]
[ROW][C]0.78[/C][C]26.8186686343789[/C][C]1.07585701299335[/C][/ROW]
[ROW][C]0.79[/C][C]27.1098860399197[/C][C]1.14599521899842[/C][/ROW]
[ROW][C]0.8[/C][C]27.429259075612[/C][C]1.23781833973568[/C][/ROW]
[ROW][C]0.81[/C][C]27.7833289692093[/C][C]1.35112560198641[/C][/ROW]
[ROW][C]0.82[/C][C]28.1780328761938[/C][C]1.48170815524073[/C][/ROW]
[ROW][C]0.83[/C][C]28.6173608728563[/C][C]1.61967754690567[/C][/ROW]
[ROW][C]0.84[/C][C]29.1017878289765[/C][C]1.74917417322652[/C][/ROW]
[ROW][C]0.85[/C][C]29.6268807589023[/C][C]1.8499497658892[/C][/ROW]
[ROW][C]0.86[/C][C]30.1826507871240[/C][C]1.90145431547658[/C][/ROW]
[ROW][C]0.87[/C][C]30.7541853200532[/C][C]1.88849262618568[/C][/ROW]
[ROW][C]0.88[/C][C]31.3237672448493[/C][C]1.80662745121761[/C][/ROW]
[ROW][C]0.89[/C][C]31.8741030573465[/C][C]1.66490664403519[/C][/ROW]
[ROW][C]0.9[/C][C]32.3916543429489[/C][C]1.4842859586931[/C][/ROW]
[ROW][C]0.91[/C][C]32.8687545473034[/C][C]1.29115563942909[/C][/ROW]
[ROW][C]0.92[/C][C]33.303572880816[/C][C]1.10785979992399[/C][/ROW]
[ROW][C]0.93[/C][C]33.6982140841589[/C][C]0.944277065558646[/C][/ROW]
[ROW][C]0.94[/C][C]34.0569691752417[/C][C]0.79769656363306[/C][/ROW]
[ROW][C]0.95[/C][C]34.388188971298[/C][C]0.665176707707962[/C][/ROW]
[ROW][C]0.96[/C][C]34.7137930647162[/C][C]0.562385199023772[/C][/ROW]
[ROW][C]0.97[/C][C]35.0871449513407[/C][C]0.540013418680547[/C][/ROW]
[ROW][C]0.98[/C][C]35.5956881735002[/C][C]0.6871009043824[/C][/ROW]
[ROW][C]0.99[/C][C]36.2602234271930[/C][C]1.04026906082675[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38827&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38827&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.017.792653982204770.746755705823406
0.028.45095298621.28549060975903
0.039.271281114224431.34845857978328
0.0410.04793423496641.23037009093718
0.0510.70021858612871.09751422303317
0.0611.22681674158830.958558566971197
0.0711.64694826257590.813976203203756
0.0811.98077534335930.683676139112135
0.0912.24909976389250.591186748287493
0.112.47405019129320.55325483083052
0.1112.67724975730810.573076479829061
0.1212.87728398788710.639237024066094
0.1313.08807947123910.734393747956653
0.1413.31877170017190.844987458480314
0.1513.57489576623470.965935459641914
0.1613.86022993862951.10066227530896
0.1714.17839189247241.25685842015359
0.1814.53343090828791.43920608048479
0.1914.92913852494991.64314972118767
0.215.36739753474361.85308515591103
0.2115.84632449292162.04539946855918
0.2216.35904740882922.19422777651020
0.2316.89369205831832.27802275358082
0.2417.43467947306722.28454400768695
0.2517.96497683233672.21334609846040
0.2618.46866478258272.07530983925824
0.2718.93315413169371.88957978788239
0.2819.35056713406651.67928835201454
0.2919.71809115880301.46697715464503
0.320.03740119023261.27102098901072
0.3120.31344830685461.10344919932929
0.3220.55298944309400.969314582736373
0.3320.76320068632890.867394247587046
0.3420.95061161402660.791924751505055
0.3521.12046854746350.734982646744895
0.3621.27651843004800.688921556849679
0.3721.42112482024470.64775690618379
0.3821.5555898222880.607738519828455
0.3921.68055551151390.56736294651652
0.421.79638391697490.526780433999596
0.4121.90345240208930.487219510726697
0.4222.00233930218830.45045859564743
0.4322.09390445365550.418257681433474
0.4422.17928677380650.39209363881927
0.4522.25984659841590.372997805427247
0.4622.33707744282960.361545030083334
0.4722.41250494143470.357710902487441
0.4822.48758417162960.360924744817798
0.4922.56360286121570.370010049551850
0.522.6415974554150.383458620624374
0.5122.72229035724730.399388715704619
0.5222.80605782542570.415877542398957
0.5322.89293727155090.431181195781902
0.5422.98267921073750.443937690013136
0.5523.07484311262910.453436069322171
0.5623.16892892047360.459656784382414
0.5723.26452853336600.463402162895548
0.5823.36147564498530.46630751839802
0.5923.45996941486340.470574144355464
0.623.56064859257930.478671834849329
0.6123.66459843140850.493019024772689
0.6223.77328267683920.515323275801182
0.6323.88840570539740.546354151108138
0.6424.01172315572730.585603146938782
0.6524.14483028564280.631436133588278
0.6624.28896326984490.681217801648236
0.6724.4448483019280.732034636853249
0.6824.61262679229930.78074585996218
0.6924.79187363984690.824694318301974
0.724.98171173695150.861980820073833
0.7125.18101188375070.89180175199245
0.7225.38865524674760.91466285347932
0.7325.60382729368590.93241322372298
0.7425.82630941011850.948096680415151
0.7526.0567378778190.96568805490074
0.7626.29680796832780.989765312689436
0.7726.54940828381111.02499565930977
0.7826.81866863437891.07585701299335
0.7927.10988603991971.14599521899842
0.827.4292590756121.23781833973568
0.8127.78332896920931.35112560198641
0.8228.17803287619381.48170815524073
0.8328.61736087285631.61967754690567
0.8429.10178782897651.74917417322652
0.8529.62688075890231.8499497658892
0.8630.18265078712401.90145431547658
0.8730.75418532005321.88849262618568
0.8831.32376724484931.80662745121761
0.8931.87410305734651.66490664403519
0.932.39165434294891.4842859586931
0.9132.86875454730341.29115563942909
0.9233.3035728808161.10785979992399
0.9333.69821408415890.944277065558646
0.9434.05696917524170.79769656363306
0.9534.3881889712980.665176707707962
0.9634.71379306471620.562385199023772
0.9735.08714495134070.540013418680547
0.9835.59568817350020.6871009043824
0.9936.26022342719301.04026906082675


Figures (Output of Computation)

Input Parameters & R Code

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')