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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 19 Oct 2009 14:13:21 -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/Oct/19/t1255983276ku3li3p2eccpjwc.htm/, Retrieved Mon, 29 Apr 2024 18:58:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=48227, Retrieved Mon, 29 Apr 2024 18:58:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsAlgemene economische situatie
Estimated Impact120

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] [Harrell-Davis] [2009-10-19 20:13:21] [0bdf648420800d03e6dbfbd39fe2311c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
33
39
45
46
45
45
49
50
54
59
58
56
48
50
52
53
55
43
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34
27
15
14
31
41
43
46
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45
45
40
35
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38
39
32
24
21
12
29
36
31
28
30
38
27
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44
47
45
42
38
46
37
41
40
33
34
36
36
38
42
35
25
24
22
27
17
30
30
34
37
36
33
33
33
37
40
35
37
43
42
33
39
40
37
44
42
43
40
30
30
31
18
24
22
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28
23
17
12
9
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21
18
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15
24
18
19
30
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47
46

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48227&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48227&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48227&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110.55718956717931.93100236550793
0.0212.30051986640381.55374393279817
0.0313.66208561711661.67111683722127
0.0414.80615671853871.65708541162031
0.0515.78740801138261.54418158055184
0.0616.61127793199661.39519065513439
0.0717.30295894554781.27694475195821
0.0817.90945323394671.27212390424115
0.0918.48772669401541.40338379176662
0.119.08568523673181.61262342204135
0.1119.72698575095891.81873046611924
0.1220.40913342011911.96550633600166
0.1321.11308124057032.03542242022600
0.1421.81626494983952.04302211904217
0.1522.50222324189602.01896263197845
0.1623.16424729739031.99399506091849
0.1723.80399667026241.98757700962805
0.1824.42748519316962.00355521588380
0.1925.04077147814922.03203131630748
0.225.64691305718632.05655257432506
0.2126.24480858679322.06157948591561
0.2226.82975891890552.03747061407333
0.2327.39510753413511.98197000899942
0.2427.93422155241811.8995070525708
0.2528.44223051592411.7996544222097
0.2628.91716462979221.69531293147516
0.2729.36031359470331.59992452432591
0.2829.7757716051891.52442029267438
0.2930.16930130407751.47375553713439
0.330.54684112299021.44528765315461
0.3130.91311595860021.43018851289379
0.3231.27079301089091.41735463775427
0.3331.62042523684891.39777610978540
0.3431.96111997539741.36788117708836
0.3532.2915981260771.3295181805649
0.3632.61119128205061.28906193469034
0.3732.92040160404851.25381001540456
0.3833.22086949560521.22895929366727
0.3933.51484726831521.21552585448563
0.433.80445411124531.21033207996427
0.4134.09102950926841.20774120683609
0.4234.37481595250991.20173846578076
0.4334.65504482580411.18825517397565
0.4434.93034499627431.16608229699713
0.4535.1992977028741.13680548806079
0.4635.46094493488451.10389306833179
0.4735.71510899628211.07193310279167
0.4835.96246589344721.04491320052023
0.4936.20439882424821.02548078190079
0.536.44271400216151.01479677865866
0.5136.67931810314331.01218433947618
0.5236.91593852461951.01608984365633
0.5337.15392886761621.02433724122482
0.5437.39416142972481.03468530950971
0.5537.63698242584271.04498445168872
0.5637.88220250748251.05299608417724
0.5738.12911246199121.0566809878428
0.5838.37653945695811.05399218262932
0.5938.62297570783591.04358557181728
0.638.8668046402221.02527406349300
0.6139.10661568710131.00035802942611
0.6239.34154884971930.971889223291287
0.6339.57156769670230.94428251502112
0.6439.79755123225650.922065066806416
0.6540.02113689431930.908630854573047
0.6640.2443324502840.90490085273898
0.6740.4690130259140.908876640433545
0.6840.69648660151730.916511688319407
0.6940.92730920542410.923538646950499
0.741.16144854744270.927239840825814
0.7141.39875677636650.927945814682777
0.7241.63957251898060.928931238339084
0.7341.8851886102070.935415737076397
0.7442.13793466615570.95237535676271
0.7542.40073717029540.981565979543302
0.7642.67620374588131.02012695323414
0.7742.96548048764221.06019136660315
0.7843.26728917794771.09064108187872
0.7943.57759793665091.10050505648928
0.843.89025499167431.08281674677996
0.8144.19860736948691.03790840625213
0.8244.49772256470970.975035713437033
0.8344.78653452256080.910808946285472
0.8445.06926221306950.865073369733508
0.8545.3558331856480.855474129437836
0.8645.66151148891030.894383646222669
0.8746.00605619960350.98886437730245
0.8846.41238591808961.14017992977934
0.8946.90435655034091.34074450285224
0.947.50358303949281.57090190638970
0.9148.2261951686871.80281869219788
0.9249.08066739083822.00944122185524
0.9350.06636321626722.16785962777884
0.9451.17152417522082.25035559966081
0.9552.37407432316452.22475517373118
0.9653.65644674207882.09517448681215
0.9755.03447362594521.94682457521615
0.9856.54261529579851.82761790917015
0.9958.056077853641.46412279370932

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10.5571895671793 & 1.93100236550793 \tabularnewline
0.02 & 12.3005198664038 & 1.55374393279817 \tabularnewline
0.03 & 13.6620856171166 & 1.67111683722127 \tabularnewline
0.04 & 14.8061567185387 & 1.65708541162031 \tabularnewline
0.05 & 15.7874080113826 & 1.54418158055184 \tabularnewline
0.06 & 16.6112779319966 & 1.39519065513439 \tabularnewline
0.07 & 17.3029589455478 & 1.27694475195821 \tabularnewline
0.08 & 17.9094532339467 & 1.27212390424115 \tabularnewline
0.09 & 18.4877266940154 & 1.40338379176662 \tabularnewline
0.1 & 19.0856852367318 & 1.61262342204135 \tabularnewline
0.11 & 19.7269857509589 & 1.81873046611924 \tabularnewline
0.12 & 20.4091334201191 & 1.96550633600166 \tabularnewline
0.13 & 21.1130812405703 & 2.03542242022600 \tabularnewline
0.14 & 21.8162649498395 & 2.04302211904217 \tabularnewline
0.15 & 22.5022232418960 & 2.01896263197845 \tabularnewline
0.16 & 23.1642472973903 & 1.99399506091849 \tabularnewline
0.17 & 23.8039966702624 & 1.98757700962805 \tabularnewline
0.18 & 24.4274851931696 & 2.00355521588380 \tabularnewline
0.19 & 25.0407714781492 & 2.03203131630748 \tabularnewline
0.2 & 25.6469130571863 & 2.05655257432506 \tabularnewline
0.21 & 26.2448085867932 & 2.06157948591561 \tabularnewline
0.22 & 26.8297589189055 & 2.03747061407333 \tabularnewline
0.23 & 27.3951075341351 & 1.98197000899942 \tabularnewline
0.24 & 27.9342215524181 & 1.8995070525708 \tabularnewline
0.25 & 28.4422305159241 & 1.7996544222097 \tabularnewline
0.26 & 28.9171646297922 & 1.69531293147516 \tabularnewline
0.27 & 29.3603135947033 & 1.59992452432591 \tabularnewline
0.28 & 29.775771605189 & 1.52442029267438 \tabularnewline
0.29 & 30.1693013040775 & 1.47375553713439 \tabularnewline
0.3 & 30.5468411229902 & 1.44528765315461 \tabularnewline
0.31 & 30.9131159586002 & 1.43018851289379 \tabularnewline
0.32 & 31.2707930108909 & 1.41735463775427 \tabularnewline
0.33 & 31.6204252368489 & 1.39777610978540 \tabularnewline
0.34 & 31.9611199753974 & 1.36788117708836 \tabularnewline
0.35 & 32.291598126077 & 1.3295181805649 \tabularnewline
0.36 & 32.6111912820506 & 1.28906193469034 \tabularnewline
0.37 & 32.9204016040485 & 1.25381001540456 \tabularnewline
0.38 & 33.2208694956052 & 1.22895929366727 \tabularnewline
0.39 & 33.5148472683152 & 1.21552585448563 \tabularnewline
0.4 & 33.8044541112453 & 1.21033207996427 \tabularnewline
0.41 & 34.0910295092684 & 1.20774120683609 \tabularnewline
0.42 & 34.3748159525099 & 1.20173846578076 \tabularnewline
0.43 & 34.6550448258041 & 1.18825517397565 \tabularnewline
0.44 & 34.9303449962743 & 1.16608229699713 \tabularnewline
0.45 & 35.199297702874 & 1.13680548806079 \tabularnewline
0.46 & 35.4609449348845 & 1.10389306833179 \tabularnewline
0.47 & 35.7151089962821 & 1.07193310279167 \tabularnewline
0.48 & 35.9624658934472 & 1.04491320052023 \tabularnewline
0.49 & 36.2043988242482 & 1.02548078190079 \tabularnewline
0.5 & 36.4427140021615 & 1.01479677865866 \tabularnewline
0.51 & 36.6793181031433 & 1.01218433947618 \tabularnewline
0.52 & 36.9159385246195 & 1.01608984365633 \tabularnewline
0.53 & 37.1539288676162 & 1.02433724122482 \tabularnewline
0.54 & 37.3941614297248 & 1.03468530950971 \tabularnewline
0.55 & 37.6369824258427 & 1.04498445168872 \tabularnewline
0.56 & 37.8822025074825 & 1.05299608417724 \tabularnewline
0.57 & 38.1291124619912 & 1.0566809878428 \tabularnewline
0.58 & 38.3765394569581 & 1.05399218262932 \tabularnewline
0.59 & 38.6229757078359 & 1.04358557181728 \tabularnewline
0.6 & 38.866804640222 & 1.02527406349300 \tabularnewline
0.61 & 39.1066156871013 & 1.00035802942611 \tabularnewline
0.62 & 39.3415488497193 & 0.971889223291287 \tabularnewline
0.63 & 39.5715676967023 & 0.94428251502112 \tabularnewline
0.64 & 39.7975512322565 & 0.922065066806416 \tabularnewline
0.65 & 40.0211368943193 & 0.908630854573047 \tabularnewline
0.66 & 40.244332450284 & 0.90490085273898 \tabularnewline
0.67 & 40.469013025914 & 0.908876640433545 \tabularnewline
0.68 & 40.6964866015173 & 0.916511688319407 \tabularnewline
0.69 & 40.9273092054241 & 0.923538646950499 \tabularnewline
0.7 & 41.1614485474427 & 0.927239840825814 \tabularnewline
0.71 & 41.3987567763665 & 0.927945814682777 \tabularnewline
0.72 & 41.6395725189806 & 0.928931238339084 \tabularnewline
0.73 & 41.885188610207 & 0.935415737076397 \tabularnewline
0.74 & 42.1379346661557 & 0.95237535676271 \tabularnewline
0.75 & 42.4007371702954 & 0.981565979543302 \tabularnewline
0.76 & 42.6762037458813 & 1.02012695323414 \tabularnewline
0.77 & 42.9654804876422 & 1.06019136660315 \tabularnewline
0.78 & 43.2672891779477 & 1.09064108187872 \tabularnewline
0.79 & 43.5775979366509 & 1.10050505648928 \tabularnewline
0.8 & 43.8902549916743 & 1.08281674677996 \tabularnewline
0.81 & 44.1986073694869 & 1.03790840625213 \tabularnewline
0.82 & 44.4977225647097 & 0.975035713437033 \tabularnewline
0.83 & 44.7865345225608 & 0.910808946285472 \tabularnewline
0.84 & 45.0692622130695 & 0.865073369733508 \tabularnewline
0.85 & 45.355833185648 & 0.855474129437836 \tabularnewline
0.86 & 45.6615114889103 & 0.894383646222669 \tabularnewline
0.87 & 46.0060561996035 & 0.98886437730245 \tabularnewline
0.88 & 46.4123859180896 & 1.14017992977934 \tabularnewline
0.89 & 46.9043565503409 & 1.34074450285224 \tabularnewline
0.9 & 47.5035830394928 & 1.57090190638970 \tabularnewline
0.91 & 48.226195168687 & 1.80281869219788 \tabularnewline
0.92 & 49.0806673908382 & 2.00944122185524 \tabularnewline
0.93 & 50.0663632162672 & 2.16785962777884 \tabularnewline
0.94 & 51.1715241752208 & 2.25035559966081 \tabularnewline
0.95 & 52.3740743231645 & 2.22475517373118 \tabularnewline
0.96 & 53.6564467420788 & 2.09517448681215 \tabularnewline
0.97 & 55.0344736259452 & 1.94682457521615 \tabularnewline
0.98 & 56.5426152957985 & 1.82761790917015 \tabularnewline
0.99 & 58.05607785364 & 1.46412279370932 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48227&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]10.5571895671793[/C][C]1.93100236550793[/C][/ROW]
[ROW][C]0.02[/C][C]12.3005198664038[/C][C]1.55374393279817[/C][/ROW]
[ROW][C]0.03[/C][C]13.6620856171166[/C][C]1.67111683722127[/C][/ROW]
[ROW][C]0.04[/C][C]14.8061567185387[/C][C]1.65708541162031[/C][/ROW]
[ROW][C]0.05[/C][C]15.7874080113826[/C][C]1.54418158055184[/C][/ROW]
[ROW][C]0.06[/C][C]16.6112779319966[/C][C]1.39519065513439[/C][/ROW]
[ROW][C]0.07[/C][C]17.3029589455478[/C][C]1.27694475195821[/C][/ROW]
[ROW][C]0.08[/C][C]17.9094532339467[/C][C]1.27212390424115[/C][/ROW]
[ROW][C]0.09[/C][C]18.4877266940154[/C][C]1.40338379176662[/C][/ROW]
[ROW][C]0.1[/C][C]19.0856852367318[/C][C]1.61262342204135[/C][/ROW]
[ROW][C]0.11[/C][C]19.7269857509589[/C][C]1.81873046611924[/C][/ROW]
[ROW][C]0.12[/C][C]20.4091334201191[/C][C]1.96550633600166[/C][/ROW]
[ROW][C]0.13[/C][C]21.1130812405703[/C][C]2.03542242022600[/C][/ROW]
[ROW][C]0.14[/C][C]21.8162649498395[/C][C]2.04302211904217[/C][/ROW]
[ROW][C]0.15[/C][C]22.5022232418960[/C][C]2.01896263197845[/C][/ROW]
[ROW][C]0.16[/C][C]23.1642472973903[/C][C]1.99399506091849[/C][/ROW]
[ROW][C]0.17[/C][C]23.8039966702624[/C][C]1.98757700962805[/C][/ROW]
[ROW][C]0.18[/C][C]24.4274851931696[/C][C]2.00355521588380[/C][/ROW]
[ROW][C]0.19[/C][C]25.0407714781492[/C][C]2.03203131630748[/C][/ROW]
[ROW][C]0.2[/C][C]25.6469130571863[/C][C]2.05655257432506[/C][/ROW]
[ROW][C]0.21[/C][C]26.2448085867932[/C][C]2.06157948591561[/C][/ROW]
[ROW][C]0.22[/C][C]26.8297589189055[/C][C]2.03747061407333[/C][/ROW]
[ROW][C]0.23[/C][C]27.3951075341351[/C][C]1.98197000899942[/C][/ROW]
[ROW][C]0.24[/C][C]27.9342215524181[/C][C]1.8995070525708[/C][/ROW]
[ROW][C]0.25[/C][C]28.4422305159241[/C][C]1.7996544222097[/C][/ROW]
[ROW][C]0.26[/C][C]28.9171646297922[/C][C]1.69531293147516[/C][/ROW]
[ROW][C]0.27[/C][C]29.3603135947033[/C][C]1.59992452432591[/C][/ROW]
[ROW][C]0.28[/C][C]29.775771605189[/C][C]1.52442029267438[/C][/ROW]
[ROW][C]0.29[/C][C]30.1693013040775[/C][C]1.47375553713439[/C][/ROW]
[ROW][C]0.3[/C][C]30.5468411229902[/C][C]1.44528765315461[/C][/ROW]
[ROW][C]0.31[/C][C]30.9131159586002[/C][C]1.43018851289379[/C][/ROW]
[ROW][C]0.32[/C][C]31.2707930108909[/C][C]1.41735463775427[/C][/ROW]
[ROW][C]0.33[/C][C]31.6204252368489[/C][C]1.39777610978540[/C][/ROW]
[ROW][C]0.34[/C][C]31.9611199753974[/C][C]1.36788117708836[/C][/ROW]
[ROW][C]0.35[/C][C]32.291598126077[/C][C]1.3295181805649[/C][/ROW]
[ROW][C]0.36[/C][C]32.6111912820506[/C][C]1.28906193469034[/C][/ROW]
[ROW][C]0.37[/C][C]32.9204016040485[/C][C]1.25381001540456[/C][/ROW]
[ROW][C]0.38[/C][C]33.2208694956052[/C][C]1.22895929366727[/C][/ROW]
[ROW][C]0.39[/C][C]33.5148472683152[/C][C]1.21552585448563[/C][/ROW]
[ROW][C]0.4[/C][C]33.8044541112453[/C][C]1.21033207996427[/C][/ROW]
[ROW][C]0.41[/C][C]34.0910295092684[/C][C]1.20774120683609[/C][/ROW]
[ROW][C]0.42[/C][C]34.3748159525099[/C][C]1.20173846578076[/C][/ROW]
[ROW][C]0.43[/C][C]34.6550448258041[/C][C]1.18825517397565[/C][/ROW]
[ROW][C]0.44[/C][C]34.9303449962743[/C][C]1.16608229699713[/C][/ROW]
[ROW][C]0.45[/C][C]35.199297702874[/C][C]1.13680548806079[/C][/ROW]
[ROW][C]0.46[/C][C]35.4609449348845[/C][C]1.10389306833179[/C][/ROW]
[ROW][C]0.47[/C][C]35.7151089962821[/C][C]1.07193310279167[/C][/ROW]
[ROW][C]0.48[/C][C]35.9624658934472[/C][C]1.04491320052023[/C][/ROW]
[ROW][C]0.49[/C][C]36.2043988242482[/C][C]1.02548078190079[/C][/ROW]
[ROW][C]0.5[/C][C]36.4427140021615[/C][C]1.01479677865866[/C][/ROW]
[ROW][C]0.51[/C][C]36.6793181031433[/C][C]1.01218433947618[/C][/ROW]
[ROW][C]0.52[/C][C]36.9159385246195[/C][C]1.01608984365633[/C][/ROW]
[ROW][C]0.53[/C][C]37.1539288676162[/C][C]1.02433724122482[/C][/ROW]
[ROW][C]0.54[/C][C]37.3941614297248[/C][C]1.03468530950971[/C][/ROW]
[ROW][C]0.55[/C][C]37.6369824258427[/C][C]1.04498445168872[/C][/ROW]
[ROW][C]0.56[/C][C]37.8822025074825[/C][C]1.05299608417724[/C][/ROW]
[ROW][C]0.57[/C][C]38.1291124619912[/C][C]1.0566809878428[/C][/ROW]
[ROW][C]0.58[/C][C]38.3765394569581[/C][C]1.05399218262932[/C][/ROW]
[ROW][C]0.59[/C][C]38.6229757078359[/C][C]1.04358557181728[/C][/ROW]
[ROW][C]0.6[/C][C]38.866804640222[/C][C]1.02527406349300[/C][/ROW]
[ROW][C]0.61[/C][C]39.1066156871013[/C][C]1.00035802942611[/C][/ROW]
[ROW][C]0.62[/C][C]39.3415488497193[/C][C]0.971889223291287[/C][/ROW]
[ROW][C]0.63[/C][C]39.5715676967023[/C][C]0.94428251502112[/C][/ROW]
[ROW][C]0.64[/C][C]39.7975512322565[/C][C]0.922065066806416[/C][/ROW]
[ROW][C]0.65[/C][C]40.0211368943193[/C][C]0.908630854573047[/C][/ROW]
[ROW][C]0.66[/C][C]40.244332450284[/C][C]0.90490085273898[/C][/ROW]
[ROW][C]0.67[/C][C]40.469013025914[/C][C]0.908876640433545[/C][/ROW]
[ROW][C]0.68[/C][C]40.6964866015173[/C][C]0.916511688319407[/C][/ROW]
[ROW][C]0.69[/C][C]40.9273092054241[/C][C]0.923538646950499[/C][/ROW]
[ROW][C]0.7[/C][C]41.1614485474427[/C][C]0.927239840825814[/C][/ROW]
[ROW][C]0.71[/C][C]41.3987567763665[/C][C]0.927945814682777[/C][/ROW]
[ROW][C]0.72[/C][C]41.6395725189806[/C][C]0.928931238339084[/C][/ROW]
[ROW][C]0.73[/C][C]41.885188610207[/C][C]0.935415737076397[/C][/ROW]
[ROW][C]0.74[/C][C]42.1379346661557[/C][C]0.95237535676271[/C][/ROW]
[ROW][C]0.75[/C][C]42.4007371702954[/C][C]0.981565979543302[/C][/ROW]
[ROW][C]0.76[/C][C]42.6762037458813[/C][C]1.02012695323414[/C][/ROW]
[ROW][C]0.77[/C][C]42.9654804876422[/C][C]1.06019136660315[/C][/ROW]
[ROW][C]0.78[/C][C]43.2672891779477[/C][C]1.09064108187872[/C][/ROW]
[ROW][C]0.79[/C][C]43.5775979366509[/C][C]1.10050505648928[/C][/ROW]
[ROW][C]0.8[/C][C]43.8902549916743[/C][C]1.08281674677996[/C][/ROW]
[ROW][C]0.81[/C][C]44.1986073694869[/C][C]1.03790840625213[/C][/ROW]
[ROW][C]0.82[/C][C]44.4977225647097[/C][C]0.975035713437033[/C][/ROW]
[ROW][C]0.83[/C][C]44.7865345225608[/C][C]0.910808946285472[/C][/ROW]
[ROW][C]0.84[/C][C]45.0692622130695[/C][C]0.865073369733508[/C][/ROW]
[ROW][C]0.85[/C][C]45.355833185648[/C][C]0.855474129437836[/C][/ROW]
[ROW][C]0.86[/C][C]45.6615114889103[/C][C]0.894383646222669[/C][/ROW]
[ROW][C]0.87[/C][C]46.0060561996035[/C][C]0.98886437730245[/C][/ROW]
[ROW][C]0.88[/C][C]46.4123859180896[/C][C]1.14017992977934[/C][/ROW]
[ROW][C]0.89[/C][C]46.9043565503409[/C][C]1.34074450285224[/C][/ROW]
[ROW][C]0.9[/C][C]47.5035830394928[/C][C]1.57090190638970[/C][/ROW]
[ROW][C]0.91[/C][C]48.226195168687[/C][C]1.80281869219788[/C][/ROW]
[ROW][C]0.92[/C][C]49.0806673908382[/C][C]2.00944122185524[/C][/ROW]
[ROW][C]0.93[/C][C]50.0663632162672[/C][C]2.16785962777884[/C][/ROW]
[ROW][C]0.94[/C][C]51.1715241752208[/C][C]2.25035559966081[/C][/ROW]
[ROW][C]0.95[/C][C]52.3740743231645[/C][C]2.22475517373118[/C][/ROW]
[ROW][C]0.96[/C][C]53.6564467420788[/C][C]2.09517448681215[/C][/ROW]
[ROW][C]0.97[/C][C]55.0344736259452[/C][C]1.94682457521615[/C][/ROW]
[ROW][C]0.98[/C][C]56.5426152957985[/C][C]1.82761790917015[/C][/ROW]
[ROW][C]0.99[/C][C]58.05607785364[/C][C]1.46412279370932[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48227&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48227&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
0.0110.55718956717931.93100236550793
0.0212.30051986640381.55374393279817
0.0313.66208561711661.67111683722127
0.0414.80615671853871.65708541162031
0.0515.78740801138261.54418158055184
0.0616.61127793199661.39519065513439
0.0717.30295894554781.27694475195821
0.0817.90945323394671.27212390424115
0.0918.48772669401541.40338379176662
0.119.08568523673181.61262342204135
0.1119.72698575095891.81873046611924
0.1220.40913342011911.96550633600166
0.1321.11308124057032.03542242022600
0.1421.81626494983952.04302211904217
0.1522.50222324189602.01896263197845
0.1623.16424729739031.99399506091849
0.1723.80399667026241.98757700962805
0.1824.42748519316962.00355521588380
0.1925.04077147814922.03203131630748
0.225.64691305718632.05655257432506
0.2126.24480858679322.06157948591561
0.2226.82975891890552.03747061407333
0.2327.39510753413511.98197000899942
0.2427.93422155241811.8995070525708
0.2528.44223051592411.7996544222097
0.2628.91716462979221.69531293147516
0.2729.36031359470331.59992452432591
0.2829.7757716051891.52442029267438
0.2930.16930130407751.47375553713439
0.330.54684112299021.44528765315461
0.3130.91311595860021.43018851289379
0.3231.27079301089091.41735463775427
0.3331.62042523684891.39777610978540
0.3431.96111997539741.36788117708836
0.3532.2915981260771.3295181805649
0.3632.61119128205061.28906193469034
0.3732.92040160404851.25381001540456
0.3833.22086949560521.22895929366727
0.3933.51484726831521.21552585448563
0.433.80445411124531.21033207996427
0.4134.09102950926841.20774120683609
0.4234.37481595250991.20173846578076
0.4334.65504482580411.18825517397565
0.4434.93034499627431.16608229699713
0.4535.1992977028741.13680548806079
0.4635.46094493488451.10389306833179
0.4735.71510899628211.07193310279167
0.4835.96246589344721.04491320052023
0.4936.20439882424821.02548078190079
0.536.44271400216151.01479677865866
0.5136.67931810314331.01218433947618
0.5236.91593852461951.01608984365633
0.5337.15392886761621.02433724122482
0.5437.39416142972481.03468530950971
0.5537.63698242584271.04498445168872
0.5637.88220250748251.05299608417724
0.5738.12911246199121.0566809878428
0.5838.37653945695811.05399218262932
0.5938.62297570783591.04358557181728
0.638.8668046402221.02527406349300
0.6139.10661568710131.00035802942611
0.6239.34154884971930.971889223291287
0.6339.57156769670230.94428251502112
0.6439.79755123225650.922065066806416
0.6540.02113689431930.908630854573047
0.6640.2443324502840.90490085273898
0.6740.4690130259140.908876640433545
0.6840.69648660151730.916511688319407
0.6940.92730920542410.923538646950499
0.741.16144854744270.927239840825814
0.7141.39875677636650.927945814682777
0.7241.63957251898060.928931238339084
0.7341.8851886102070.935415737076397
0.7442.13793466615570.95237535676271
0.7542.40073717029540.981565979543302
0.7642.67620374588131.02012695323414
0.7742.96548048764221.06019136660315
0.7843.26728917794771.09064108187872
0.7943.57759793665091.10050505648928
0.843.89025499167431.08281674677996
0.8144.19860736948691.03790840625213
0.8244.49772256470970.975035713437033
0.8344.78653452256080.910808946285472
0.8445.06926221306950.865073369733508
0.8545.3558331856480.855474129437836
0.8645.66151148891030.894383646222669
0.8746.00605619960350.98886437730245
0.8846.41238591808961.14017992977934
0.8946.90435655034091.34074450285224
0.947.50358303949281.57090190638970
0.9148.2261951686871.80281869219788
0.9249.08066739083822.00944122185524
0.9350.06636321626722.16785962777884
0.9451.17152417522082.25035559966081
0.9552.37407432316452.22475517373118
0.9653.65644674207882.09517448681215
0.9755.03447362594521.94682457521615
0.9856.54261529579851.82761790917015
0.9958.056077853641.46412279370932


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')