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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 computationWed, 03 Jun 2009 03:42:17 -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/03/t1244022193y29dbp15xeytgyv.htm/, Retrieved Sun, 12 May 2024 12:16:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41425, Retrieved Sun, 12 May 2024 12:16:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact190

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] [harreldavispercen...] [2009-06-03 09:42:17] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
62,9
64,92
64
65,01
47
61,35
61
61,71
59,8
57,55
40
45,01
38
40,5
44,5
40,98
36,51
37,49
34,95
38,21
33,63
33,49
28
28
26,75
26,62
29,5
31
34
35
35,9
32,8
33
33,5
34,35
32,6
28,6
27,45
26,51
26,9
24
19,61
20
19,2
20,44
20,3
20,4
23,15
23,78
22
23,4
23,75
24,78
25,28
29,57
22,05
22,75
20,85
20,35
16,8
12,99
9,66
11
12,51
12,7
12,82
12,9
14,5
14,13
14
13,59
13,87

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=41425&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=41425&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41425&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
0.0110.11867097420941.28498997439141
0.0210.80290513390651.19703660861228
0.0311.47217512724081.01630262423999
0.0412.00712324428140.783530655093078
0.0512.39633252468220.587480373817819
0.0612.67770058123330.488514256218516
0.0712.89881538587260.494414504361425
0.0813.09980716672140.577172020653066
0.0913.30947944399300.712381772567123
0.113.54727869717730.891481522485858
0.1113.82648420382531.11239911455245
0.1214.15628462740251.36948967951674
0.1314.54215321661671.64786251617429
0.1414.9850379043821.92317825742076
0.1515.48034428384172.16573216710782
0.1616.01762188991022.34716729449655
0.1716.58145002129332.44703790862183
0.1817.15348310553782.45737883832916
0.1917.71517298548112.38396958988946
0.218.25047718097642.24459930716589
0.2118.7479167091652.06473161850141
0.2219.20159386093151.87228959926292
0.2319.61109918223241.69277757710833
0.2419.9805137078391.54547047794173
0.2520.31687682875351.44092593041170
0.2620.62852548354671.38032619659049
0.2720.92364212105561.35722852638734
0.2821.20922294312551.36085400898890
0.2921.49054037964071.38001831616055
0.321.77105841892741.40542464404443
0.3122.05268397018791.43096530833892
0.3222.33620533915291.45371575455128
0.3322.62177403526341.47339921195122
0.3422.90931746846441.49149611618613
0.3523.19881525196071.51013010812391
0.3623.49041934627631.53105140574573
0.3723.78443895129571.55514994144692
0.3824.08123864203411.58190880449906
0.3924.38110981619051.60981526128036
0.424.68417140839811.63678070861641
0.4124.99033919423421.66089199379626
0.4225.29937902621061.68106129354424
0.4325.61103404366641.69747848082552
0.4425.92519491491371.71171241708771
0.4526.24206964947761.72664472732014
0.4626.56230742655111.74587813393180
0.4726.88703886583901.77308403325479
0.4827.21781092695911.81109500122105
0.4927.55641468198931.86121099734895
0.527.90462473606931.92258191304511
0.5128.26388660652071.99218419407661
0.5228.63500023709512.06491320083147
0.5329.01785230539552.13433248007911
0.5429.41124633698062.19314240253458
0.5529.8128680973162.23450251352613
0.5630.21940553263872.25275743990712
0.5730.62681997073732.24416053864011
0.5831.03074164706372.207742303386
0.5931.42694179782812.14544350383245
0.631.81181944828652.06195127756905
0.6132.18283663596081.96458423635054
0.6232.53884246969941.86230083125741
0.6332.88024328624421.76468804345883
0.6433.20900026655861.68118853539745
0.6533.52846279781121.61977521995805
0.6633.84307080311841.58596577717573
0.6734.15797814592771.58234723168476
0.6834.47865958798441.60862065580100
0.6934.81056510946391.66202823953360
0.735.15887885492441.73848986205363
0.7135.52842777921831.8337973443978
0.7235.92376973619721.94475296210309
0.7336.34947429149642.06990779043069
0.7436.81059274172932.21057256922696
0.7537.31329547012062.37116296322460
0.7637.86563083326112.55984532995270
0.7738.47832316766722.78807218860638
0.7839.16546974984873.07039516419972
0.7939.94491315370723.42225217901175
0.840.8379659707023.85725031327844
0.8141.86808533615234.38207450195382
0.8243.05810494808334.98987054649461
0.8344.42582519787665.65316149548353
0.8445.97821313455146.31889685853188
0.8547.70516155164366.90841723047114
0.8649.57452927343847.32612489275728
0.8751.53068139260837.47785906075005
0.8853.49852848995667.29621834983821
0.8955.3938190367266.76570365603498
0.957.1382689947615.93787439316061
0.9158.67569097023254.92716179857487
0.9259.98372898475253.88583090374080
0.9361.07618444754512.96334492155241
0.9461.99360199590962.26129669506935
0.9562.78405358076871.7936384690757
0.9663.48043717542041.4760115970886
0.9764.08372589507891.17774867080848
0.9864.56243821620720.806883163820221
0.9964.87501850986130.383621063445407

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10.1186709742094 & 1.28498997439141 \tabularnewline
0.02 & 10.8029051339065 & 1.19703660861228 \tabularnewline
0.03 & 11.4721751272408 & 1.01630262423999 \tabularnewline
0.04 & 12.0071232442814 & 0.783530655093078 \tabularnewline
0.05 & 12.3963325246822 & 0.587480373817819 \tabularnewline
0.06 & 12.6777005812333 & 0.488514256218516 \tabularnewline
0.07 & 12.8988153858726 & 0.494414504361425 \tabularnewline
0.08 & 13.0998071667214 & 0.577172020653066 \tabularnewline
0.09 & 13.3094794439930 & 0.712381772567123 \tabularnewline
0.1 & 13.5472786971773 & 0.891481522485858 \tabularnewline
0.11 & 13.8264842038253 & 1.11239911455245 \tabularnewline
0.12 & 14.1562846274025 & 1.36948967951674 \tabularnewline
0.13 & 14.5421532166167 & 1.64786251617429 \tabularnewline
0.14 & 14.985037904382 & 1.92317825742076 \tabularnewline
0.15 & 15.4803442838417 & 2.16573216710782 \tabularnewline
0.16 & 16.0176218899102 & 2.34716729449655 \tabularnewline
0.17 & 16.5814500212933 & 2.44703790862183 \tabularnewline
0.18 & 17.1534831055378 & 2.45737883832916 \tabularnewline
0.19 & 17.7151729854811 & 2.38396958988946 \tabularnewline
0.2 & 18.2504771809764 & 2.24459930716589 \tabularnewline
0.21 & 18.747916709165 & 2.06473161850141 \tabularnewline
0.22 & 19.2015938609315 & 1.87228959926292 \tabularnewline
0.23 & 19.6110991822324 & 1.69277757710833 \tabularnewline
0.24 & 19.980513707839 & 1.54547047794173 \tabularnewline
0.25 & 20.3168768287535 & 1.44092593041170 \tabularnewline
0.26 & 20.6285254835467 & 1.38032619659049 \tabularnewline
0.27 & 20.9236421210556 & 1.35722852638734 \tabularnewline
0.28 & 21.2092229431255 & 1.36085400898890 \tabularnewline
0.29 & 21.4905403796407 & 1.38001831616055 \tabularnewline
0.3 & 21.7710584189274 & 1.40542464404443 \tabularnewline
0.31 & 22.0526839701879 & 1.43096530833892 \tabularnewline
0.32 & 22.3362053391529 & 1.45371575455128 \tabularnewline
0.33 & 22.6217740352634 & 1.47339921195122 \tabularnewline
0.34 & 22.9093174684644 & 1.49149611618613 \tabularnewline
0.35 & 23.1988152519607 & 1.51013010812391 \tabularnewline
0.36 & 23.4904193462763 & 1.53105140574573 \tabularnewline
0.37 & 23.7844389512957 & 1.55514994144692 \tabularnewline
0.38 & 24.0812386420341 & 1.58190880449906 \tabularnewline
0.39 & 24.3811098161905 & 1.60981526128036 \tabularnewline
0.4 & 24.6841714083981 & 1.63678070861641 \tabularnewline
0.41 & 24.9903391942342 & 1.66089199379626 \tabularnewline
0.42 & 25.2993790262106 & 1.68106129354424 \tabularnewline
0.43 & 25.6110340436664 & 1.69747848082552 \tabularnewline
0.44 & 25.9251949149137 & 1.71171241708771 \tabularnewline
0.45 & 26.2420696494776 & 1.72664472732014 \tabularnewline
0.46 & 26.5623074265511 & 1.74587813393180 \tabularnewline
0.47 & 26.8870388658390 & 1.77308403325479 \tabularnewline
0.48 & 27.2178109269591 & 1.81109500122105 \tabularnewline
0.49 & 27.5564146819893 & 1.86121099734895 \tabularnewline
0.5 & 27.9046247360693 & 1.92258191304511 \tabularnewline
0.51 & 28.2638866065207 & 1.99218419407661 \tabularnewline
0.52 & 28.6350002370951 & 2.06491320083147 \tabularnewline
0.53 & 29.0178523053955 & 2.13433248007911 \tabularnewline
0.54 & 29.4112463369806 & 2.19314240253458 \tabularnewline
0.55 & 29.812868097316 & 2.23450251352613 \tabularnewline
0.56 & 30.2194055326387 & 2.25275743990712 \tabularnewline
0.57 & 30.6268199707373 & 2.24416053864011 \tabularnewline
0.58 & 31.0307416470637 & 2.207742303386 \tabularnewline
0.59 & 31.4269417978281 & 2.14544350383245 \tabularnewline
0.6 & 31.8118194482865 & 2.06195127756905 \tabularnewline
0.61 & 32.1828366359608 & 1.96458423635054 \tabularnewline
0.62 & 32.5388424696994 & 1.86230083125741 \tabularnewline
0.63 & 32.8802432862442 & 1.76468804345883 \tabularnewline
0.64 & 33.2090002665586 & 1.68118853539745 \tabularnewline
0.65 & 33.5284627978112 & 1.61977521995805 \tabularnewline
0.66 & 33.8430708031184 & 1.58596577717573 \tabularnewline
0.67 & 34.1579781459277 & 1.58234723168476 \tabularnewline
0.68 & 34.4786595879844 & 1.60862065580100 \tabularnewline
0.69 & 34.8105651094639 & 1.66202823953360 \tabularnewline
0.7 & 35.1588788549244 & 1.73848986205363 \tabularnewline
0.71 & 35.5284277792183 & 1.8337973443978 \tabularnewline
0.72 & 35.9237697361972 & 1.94475296210309 \tabularnewline
0.73 & 36.3494742914964 & 2.06990779043069 \tabularnewline
0.74 & 36.8105927417293 & 2.21057256922696 \tabularnewline
0.75 & 37.3132954701206 & 2.37116296322460 \tabularnewline
0.76 & 37.8656308332611 & 2.55984532995270 \tabularnewline
0.77 & 38.4783231676672 & 2.78807218860638 \tabularnewline
0.78 & 39.1654697498487 & 3.07039516419972 \tabularnewline
0.79 & 39.9449131537072 & 3.42225217901175 \tabularnewline
0.8 & 40.837965970702 & 3.85725031327844 \tabularnewline
0.81 & 41.8680853361523 & 4.38207450195382 \tabularnewline
0.82 & 43.0581049480833 & 4.98987054649461 \tabularnewline
0.83 & 44.4258251978766 & 5.65316149548353 \tabularnewline
0.84 & 45.9782131345514 & 6.31889685853188 \tabularnewline
0.85 & 47.7051615516436 & 6.90841723047114 \tabularnewline
0.86 & 49.5745292734384 & 7.32612489275728 \tabularnewline
0.87 & 51.5306813926083 & 7.47785906075005 \tabularnewline
0.88 & 53.4985284899566 & 7.29621834983821 \tabularnewline
0.89 & 55.393819036726 & 6.76570365603498 \tabularnewline
0.9 & 57.138268994761 & 5.93787439316061 \tabularnewline
0.91 & 58.6756909702325 & 4.92716179857487 \tabularnewline
0.92 & 59.9837289847525 & 3.88583090374080 \tabularnewline
0.93 & 61.0761844475451 & 2.96334492155241 \tabularnewline
0.94 & 61.9936019959096 & 2.26129669506935 \tabularnewline
0.95 & 62.7840535807687 & 1.7936384690757 \tabularnewline
0.96 & 63.4804371754204 & 1.4760115970886 \tabularnewline
0.97 & 64.0837258950789 & 1.17774867080848 \tabularnewline
0.98 & 64.5624382162072 & 0.806883163820221 \tabularnewline
0.99 & 64.8750185098613 & 0.383621063445407 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41425&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]10.1186709742094[/C][C]1.28498997439141[/C][/ROW]
[ROW][C]0.02[/C][C]10.8029051339065[/C][C]1.19703660861228[/C][/ROW]
[ROW][C]0.03[/C][C]11.4721751272408[/C][C]1.01630262423999[/C][/ROW]
[ROW][C]0.04[/C][C]12.0071232442814[/C][C]0.783530655093078[/C][/ROW]
[ROW][C]0.05[/C][C]12.3963325246822[/C][C]0.587480373817819[/C][/ROW]
[ROW][C]0.06[/C][C]12.6777005812333[/C][C]0.488514256218516[/C][/ROW]
[ROW][C]0.07[/C][C]12.8988153858726[/C][C]0.494414504361425[/C][/ROW]
[ROW][C]0.08[/C][C]13.0998071667214[/C][C]0.577172020653066[/C][/ROW]
[ROW][C]0.09[/C][C]13.3094794439930[/C][C]0.712381772567123[/C][/ROW]
[ROW][C]0.1[/C][C]13.5472786971773[/C][C]0.891481522485858[/C][/ROW]
[ROW][C]0.11[/C][C]13.8264842038253[/C][C]1.11239911455245[/C][/ROW]
[ROW][C]0.12[/C][C]14.1562846274025[/C][C]1.36948967951674[/C][/ROW]
[ROW][C]0.13[/C][C]14.5421532166167[/C][C]1.64786251617429[/C][/ROW]
[ROW][C]0.14[/C][C]14.985037904382[/C][C]1.92317825742076[/C][/ROW]
[ROW][C]0.15[/C][C]15.4803442838417[/C][C]2.16573216710782[/C][/ROW]
[ROW][C]0.16[/C][C]16.0176218899102[/C][C]2.34716729449655[/C][/ROW]
[ROW][C]0.17[/C][C]16.5814500212933[/C][C]2.44703790862183[/C][/ROW]
[ROW][C]0.18[/C][C]17.1534831055378[/C][C]2.45737883832916[/C][/ROW]
[ROW][C]0.19[/C][C]17.7151729854811[/C][C]2.38396958988946[/C][/ROW]
[ROW][C]0.2[/C][C]18.2504771809764[/C][C]2.24459930716589[/C][/ROW]
[ROW][C]0.21[/C][C]18.747916709165[/C][C]2.06473161850141[/C][/ROW]
[ROW][C]0.22[/C][C]19.2015938609315[/C][C]1.87228959926292[/C][/ROW]
[ROW][C]0.23[/C][C]19.6110991822324[/C][C]1.69277757710833[/C][/ROW]
[ROW][C]0.24[/C][C]19.980513707839[/C][C]1.54547047794173[/C][/ROW]
[ROW][C]0.25[/C][C]20.3168768287535[/C][C]1.44092593041170[/C][/ROW]
[ROW][C]0.26[/C][C]20.6285254835467[/C][C]1.38032619659049[/C][/ROW]
[ROW][C]0.27[/C][C]20.9236421210556[/C][C]1.35722852638734[/C][/ROW]
[ROW][C]0.28[/C][C]21.2092229431255[/C][C]1.36085400898890[/C][/ROW]
[ROW][C]0.29[/C][C]21.4905403796407[/C][C]1.38001831616055[/C][/ROW]
[ROW][C]0.3[/C][C]21.7710584189274[/C][C]1.40542464404443[/C][/ROW]
[ROW][C]0.31[/C][C]22.0526839701879[/C][C]1.43096530833892[/C][/ROW]
[ROW][C]0.32[/C][C]22.3362053391529[/C][C]1.45371575455128[/C][/ROW]
[ROW][C]0.33[/C][C]22.6217740352634[/C][C]1.47339921195122[/C][/ROW]
[ROW][C]0.34[/C][C]22.9093174684644[/C][C]1.49149611618613[/C][/ROW]
[ROW][C]0.35[/C][C]23.1988152519607[/C][C]1.51013010812391[/C][/ROW]
[ROW][C]0.36[/C][C]23.4904193462763[/C][C]1.53105140574573[/C][/ROW]
[ROW][C]0.37[/C][C]23.7844389512957[/C][C]1.55514994144692[/C][/ROW]
[ROW][C]0.38[/C][C]24.0812386420341[/C][C]1.58190880449906[/C][/ROW]
[ROW][C]0.39[/C][C]24.3811098161905[/C][C]1.60981526128036[/C][/ROW]
[ROW][C]0.4[/C][C]24.6841714083981[/C][C]1.63678070861641[/C][/ROW]
[ROW][C]0.41[/C][C]24.9903391942342[/C][C]1.66089199379626[/C][/ROW]
[ROW][C]0.42[/C][C]25.2993790262106[/C][C]1.68106129354424[/C][/ROW]
[ROW][C]0.43[/C][C]25.6110340436664[/C][C]1.69747848082552[/C][/ROW]
[ROW][C]0.44[/C][C]25.9251949149137[/C][C]1.71171241708771[/C][/ROW]
[ROW][C]0.45[/C][C]26.2420696494776[/C][C]1.72664472732014[/C][/ROW]
[ROW][C]0.46[/C][C]26.5623074265511[/C][C]1.74587813393180[/C][/ROW]
[ROW][C]0.47[/C][C]26.8870388658390[/C][C]1.77308403325479[/C][/ROW]
[ROW][C]0.48[/C][C]27.2178109269591[/C][C]1.81109500122105[/C][/ROW]
[ROW][C]0.49[/C][C]27.5564146819893[/C][C]1.86121099734895[/C][/ROW]
[ROW][C]0.5[/C][C]27.9046247360693[/C][C]1.92258191304511[/C][/ROW]
[ROW][C]0.51[/C][C]28.2638866065207[/C][C]1.99218419407661[/C][/ROW]
[ROW][C]0.52[/C][C]28.6350002370951[/C][C]2.06491320083147[/C][/ROW]
[ROW][C]0.53[/C][C]29.0178523053955[/C][C]2.13433248007911[/C][/ROW]
[ROW][C]0.54[/C][C]29.4112463369806[/C][C]2.19314240253458[/C][/ROW]
[ROW][C]0.55[/C][C]29.812868097316[/C][C]2.23450251352613[/C][/ROW]
[ROW][C]0.56[/C][C]30.2194055326387[/C][C]2.25275743990712[/C][/ROW]
[ROW][C]0.57[/C][C]30.6268199707373[/C][C]2.24416053864011[/C][/ROW]
[ROW][C]0.58[/C][C]31.0307416470637[/C][C]2.207742303386[/C][/ROW]
[ROW][C]0.59[/C][C]31.4269417978281[/C][C]2.14544350383245[/C][/ROW]
[ROW][C]0.6[/C][C]31.8118194482865[/C][C]2.06195127756905[/C][/ROW]
[ROW][C]0.61[/C][C]32.1828366359608[/C][C]1.96458423635054[/C][/ROW]
[ROW][C]0.62[/C][C]32.5388424696994[/C][C]1.86230083125741[/C][/ROW]
[ROW][C]0.63[/C][C]32.8802432862442[/C][C]1.76468804345883[/C][/ROW]
[ROW][C]0.64[/C][C]33.2090002665586[/C][C]1.68118853539745[/C][/ROW]
[ROW][C]0.65[/C][C]33.5284627978112[/C][C]1.61977521995805[/C][/ROW]
[ROW][C]0.66[/C][C]33.8430708031184[/C][C]1.58596577717573[/C][/ROW]
[ROW][C]0.67[/C][C]34.1579781459277[/C][C]1.58234723168476[/C][/ROW]
[ROW][C]0.68[/C][C]34.4786595879844[/C][C]1.60862065580100[/C][/ROW]
[ROW][C]0.69[/C][C]34.8105651094639[/C][C]1.66202823953360[/C][/ROW]
[ROW][C]0.7[/C][C]35.1588788549244[/C][C]1.73848986205363[/C][/ROW]
[ROW][C]0.71[/C][C]35.5284277792183[/C][C]1.8337973443978[/C][/ROW]
[ROW][C]0.72[/C][C]35.9237697361972[/C][C]1.94475296210309[/C][/ROW]
[ROW][C]0.73[/C][C]36.3494742914964[/C][C]2.06990779043069[/C][/ROW]
[ROW][C]0.74[/C][C]36.8105927417293[/C][C]2.21057256922696[/C][/ROW]
[ROW][C]0.75[/C][C]37.3132954701206[/C][C]2.37116296322460[/C][/ROW]
[ROW][C]0.76[/C][C]37.8656308332611[/C][C]2.55984532995270[/C][/ROW]
[ROW][C]0.77[/C][C]38.4783231676672[/C][C]2.78807218860638[/C][/ROW]
[ROW][C]0.78[/C][C]39.1654697498487[/C][C]3.07039516419972[/C][/ROW]
[ROW][C]0.79[/C][C]39.9449131537072[/C][C]3.42225217901175[/C][/ROW]
[ROW][C]0.8[/C][C]40.837965970702[/C][C]3.85725031327844[/C][/ROW]
[ROW][C]0.81[/C][C]41.8680853361523[/C][C]4.38207450195382[/C][/ROW]
[ROW][C]0.82[/C][C]43.0581049480833[/C][C]4.98987054649461[/C][/ROW]
[ROW][C]0.83[/C][C]44.4258251978766[/C][C]5.65316149548353[/C][/ROW]
[ROW][C]0.84[/C][C]45.9782131345514[/C][C]6.31889685853188[/C][/ROW]
[ROW][C]0.85[/C][C]47.7051615516436[/C][C]6.90841723047114[/C][/ROW]
[ROW][C]0.86[/C][C]49.5745292734384[/C][C]7.32612489275728[/C][/ROW]
[ROW][C]0.87[/C][C]51.5306813926083[/C][C]7.47785906075005[/C][/ROW]
[ROW][C]0.88[/C][C]53.4985284899566[/C][C]7.29621834983821[/C][/ROW]
[ROW][C]0.89[/C][C]55.393819036726[/C][C]6.76570365603498[/C][/ROW]
[ROW][C]0.9[/C][C]57.138268994761[/C][C]5.93787439316061[/C][/ROW]
[ROW][C]0.91[/C][C]58.6756909702325[/C][C]4.92716179857487[/C][/ROW]
[ROW][C]0.92[/C][C]59.9837289847525[/C][C]3.88583090374080[/C][/ROW]
[ROW][C]0.93[/C][C]61.0761844475451[/C][C]2.96334492155241[/C][/ROW]
[ROW][C]0.94[/C][C]61.9936019959096[/C][C]2.26129669506935[/C][/ROW]
[ROW][C]0.95[/C][C]62.7840535807687[/C][C]1.7936384690757[/C][/ROW]
[ROW][C]0.96[/C][C]63.4804371754204[/C][C]1.4760115970886[/C][/ROW]
[ROW][C]0.97[/C][C]64.0837258950789[/C][C]1.17774867080848[/C][/ROW]
[ROW][C]0.98[/C][C]64.5624382162072[/C][C]0.806883163820221[/C][/ROW]
[ROW][C]0.99[/C][C]64.8750185098613[/C][C]0.383621063445407[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41425&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41425&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
0.0110.11867097420941.28498997439141
0.0210.80290513390651.19703660861228
0.0311.47217512724081.01630262423999
0.0412.00712324428140.783530655093078
0.0512.39633252468220.587480373817819
0.0612.67770058123330.488514256218516
0.0712.89881538587260.494414504361425
0.0813.09980716672140.577172020653066
0.0913.30947944399300.712381772567123
0.113.54727869717730.891481522485858
0.1113.82648420382531.11239911455245
0.1214.15628462740251.36948967951674
0.1314.54215321661671.64786251617429
0.1414.9850379043821.92317825742076
0.1515.48034428384172.16573216710782
0.1616.01762188991022.34716729449655
0.1716.58145002129332.44703790862183
0.1817.15348310553782.45737883832916
0.1917.71517298548112.38396958988946
0.218.25047718097642.24459930716589
0.2118.7479167091652.06473161850141
0.2219.20159386093151.87228959926292
0.2319.61109918223241.69277757710833
0.2419.9805137078391.54547047794173
0.2520.31687682875351.44092593041170
0.2620.62852548354671.38032619659049
0.2720.92364212105561.35722852638734
0.2821.20922294312551.36085400898890
0.2921.49054037964071.38001831616055
0.321.77105841892741.40542464404443
0.3122.05268397018791.43096530833892
0.3222.33620533915291.45371575455128
0.3322.62177403526341.47339921195122
0.3422.90931746846441.49149611618613
0.3523.19881525196071.51013010812391
0.3623.49041934627631.53105140574573
0.3723.78443895129571.55514994144692
0.3824.08123864203411.58190880449906
0.3924.38110981619051.60981526128036
0.424.68417140839811.63678070861641
0.4124.99033919423421.66089199379626
0.4225.29937902621061.68106129354424
0.4325.61103404366641.69747848082552
0.4425.92519491491371.71171241708771
0.4526.24206964947761.72664472732014
0.4626.56230742655111.74587813393180
0.4726.88703886583901.77308403325479
0.4827.21781092695911.81109500122105
0.4927.55641468198931.86121099734895
0.527.90462473606931.92258191304511
0.5128.26388660652071.99218419407661
0.5228.63500023709512.06491320083147
0.5329.01785230539552.13433248007911
0.5429.41124633698062.19314240253458
0.5529.8128680973162.23450251352613
0.5630.21940553263872.25275743990712
0.5730.62681997073732.24416053864011
0.5831.03074164706372.207742303386
0.5931.42694179782812.14544350383245
0.631.81181944828652.06195127756905
0.6132.18283663596081.96458423635054
0.6232.53884246969941.86230083125741
0.6332.88024328624421.76468804345883
0.6433.20900026655861.68118853539745
0.6533.52846279781121.61977521995805
0.6633.84307080311841.58596577717573
0.6734.15797814592771.58234723168476
0.6834.47865958798441.60862065580100
0.6934.81056510946391.66202823953360
0.735.15887885492441.73848986205363
0.7135.52842777921831.8337973443978
0.7235.92376973619721.94475296210309
0.7336.34947429149642.06990779043069
0.7436.81059274172932.21057256922696
0.7537.31329547012062.37116296322460
0.7637.86563083326112.55984532995270
0.7738.47832316766722.78807218860638
0.7839.16546974984873.07039516419972
0.7939.94491315370723.42225217901175
0.840.8379659707023.85725031327844
0.8141.86808533615234.38207450195382
0.8243.05810494808334.98987054649461
0.8344.42582519787665.65316149548353
0.8445.97821313455146.31889685853188
0.8547.70516155164366.90841723047114
0.8649.57452927343847.32612489275728
0.8751.53068139260837.47785906075005
0.8853.49852848995667.29621834983821
0.8955.3938190367266.76570365603498
0.957.1382689947615.93787439316061
0.9158.67569097023254.92716179857487
0.9259.98372898475253.88583090374080
0.9361.07618444754512.96334492155241
0.9461.99360199590962.26129669506935
0.9562.78405358076871.7936384690757
0.9663.48043717542041.4760115970886
0.9764.08372589507891.17774867080848
0.9864.56243821620720.806883163820221
0.9964.87501850986130.383621063445407


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')