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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 10 Mar 2010 12:44:45 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/10/t12682503253yx0geo761iadud.htm/, Retrieved Fri, 28 Jan 2022 08:48:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74313, Retrieved Fri, 28 Jan 2022 08:48:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact108
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [paper - rose aust...] [2010-03-10 19:44:45] [f3cdcbccc174fec74ce5399cef7e1772] [Current]
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Dataseries X:
112
118
129
99
116
168
118
129
205
147
150
267
126
129
124
97
102
127
222
214
118
141
154
226
89
77
82
97
127
121
117
117
106
112
134
169
75
108
115
85
101
108
109
124
105
95
135
164
88
85
112
87
91
87
87
142
95
108
139
159
61
82
124
93
108
75
87
103
90
108
123
129
57
65
67
71
76
67
110
118
99
85
107
141
58
65
70
86
93
74
87
73
101
100
96
157
63
115
70
66
67
83
79
77
102
116
100
135
71
60
89
74
73
91
86
74
87
87
109
137
43
69
73
77
69
76
78
70
83
65
110
132
54
55
66
65
60
65
96
55
71
63
74
106
34
47
56
53
53
55
67
52
46
51
58
91
33
40
46
45
41
55
57
54
46
52
48
77
30
35
42
48
44
45




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74313&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74313&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74313&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0132.82625053389252.37443368749228
0.0236.21231422491983.32669151371874
0.0339.36287393659733.27622812210458
0.0441.84104937616892.55937126100198
0.0543.59552115796732.06707406843108
0.0644.91883039534941.90361728872181
0.0746.08161931060752.05462850781748
0.0847.26269605452382.41227879940188
0.0948.5350689916012.74760497225311
0.149.86572504774472.87549208711149
0.1151.16463027333432.76622228738966
0.1252.35406196807522.52743789577291
0.1353.41073805451172.3115256173996
0.1454.3662060523092.23145754188442
0.1555.28202930774212.32612647192665
0.1656.22133810285742.56510910296583
0.1757.22821358638412.87605642407837
0.1858.31741260078813.17218797664873
0.1959.47368987624133.37612678018888
0.260.65928145420873.43939021796465
0.2161.8270798155273.3558759594203
0.2262.93542528826523.16199500491274
0.2363.95959297439682.922589835056
0.2464.89621422529792.70566630164987
0.2565.75991958975442.55891759989579
0.2666.57480452136092.49539446376029
0.2767.3650029580192.49825257730193
0.2868.14800763269762.53583496991454
0.2968.9322453348962.57817570271222
0.369.71830285742322.60557125531221
0.3170.50213715815642.61080519546263
0.3271.2786818007172.59761232563200
0.3372.0449148542572.57791012529031
0.3472.80204348229692.56977372963524
0.3573.5566887882352.594485691527
0.3674.32090882088072.67193062281821
0.3775.1108419460972.81455479278008
0.3875.94389189518433.02132163001128
0.3976.83474928375363.27394105287926
0.477.79104114008593.53751107155945
0.4178.80981115999313.76649419095073
0.4279.87611759332033.91611080414945
0.4380.964626496533.95307356606651
0.4482.04421525691513.86675277723697
0.4583.08457897370743.67265406952187
0.4684.0630796955333.4113938201388
0.4784.96992784525643.13764262509634
0.4885.81029234309642.90968297816014
0.4986.60287613445452.77524528911203
0.587.3755058243152.76040071489283
0.5188.15904068126682.86304158164032
0.5288.98121600687473.05673851485096
0.5389.86186801289723.30198818051574
0.5490.81045277172243.55633074451522
0.5591.82607608057813.78430279463464
0.5692.89961894196233.9617794113459
0.5794.01713376562744.07905293086076
0.5895.16354328055194.1394953138523
0.5996.3257452116344.15615411081049
0.697.49443377765834.14577398975747
0.6198.66425957279994.12297764180744
0.6299.83237779153054.09475689995509
0.63100.9959752623684.05643362522466
0.64102.1498909603613.99525090925711
0.65103.2856714616993.89697085026647
0.66104.3930275818053.75656424475085
0.67105.4636124321873.58671823020687
0.68106.4956956753773.41854107571591
0.69107.4973993822223.29300811101932
0.7108.4863813333153.2436307779762
0.71109.4853521899643.27960924264833
0.72110.5149741835923.37843309513834
0.73111.5873742057183.49690050722436
0.74112.7036588310223.59280586312577
0.75113.8570730301883.64590931230652
0.76115.0404279937133.66782131080327
0.77116.2536562011613.69535946952658
0.78117.5066381169403.76552573589069
0.79118.8148069691013.88713111233735
0.8120.1896431499434.02853515479715
0.81121.6302397596284.13637492575896
0.82123.1225347748724.17077553239361
0.83124.6485680018364.13528266054635
0.84126.2015309290444.08256954177386
0.85127.7977010389834.08922682015274
0.86129.4772743208534.21204082322988
0.87131.2936401371914.45385144901683
0.88133.3013661200184.77783211042295
0.89135.5583778435735.16998903793421
0.9138.1474167581015.69044490337828
0.91141.1964318386626.43305349580894
0.92144.8646903725837.38405326689302
0.93149.3144859369898.38683012060772
0.94154.8268725815069.53999773175257
0.95162.26739851664911.9795307047083
0.96173.49548643675717.2082148137273
0.97189.98151237835222.3614415903140
0.98210.13869601259320.2283003337373
0.99235.84307474663519.8775139074375

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 32.8262505338925 & 2.37443368749228 \tabularnewline
0.02 & 36.2123142249198 & 3.32669151371874 \tabularnewline
0.03 & 39.3628739365973 & 3.27622812210458 \tabularnewline
0.04 & 41.8410493761689 & 2.55937126100198 \tabularnewline
0.05 & 43.5955211579673 & 2.06707406843108 \tabularnewline
0.06 & 44.9188303953494 & 1.90361728872181 \tabularnewline
0.07 & 46.0816193106075 & 2.05462850781748 \tabularnewline
0.08 & 47.2626960545238 & 2.41227879940188 \tabularnewline
0.09 & 48.535068991601 & 2.74760497225311 \tabularnewline
0.1 & 49.8657250477447 & 2.87549208711149 \tabularnewline
0.11 & 51.1646302733343 & 2.76622228738966 \tabularnewline
0.12 & 52.3540619680752 & 2.52743789577291 \tabularnewline
0.13 & 53.4107380545117 & 2.3115256173996 \tabularnewline
0.14 & 54.366206052309 & 2.23145754188442 \tabularnewline
0.15 & 55.2820293077421 & 2.32612647192665 \tabularnewline
0.16 & 56.2213381028574 & 2.56510910296583 \tabularnewline
0.17 & 57.2282135863841 & 2.87605642407837 \tabularnewline
0.18 & 58.3174126007881 & 3.17218797664873 \tabularnewline
0.19 & 59.4736898762413 & 3.37612678018888 \tabularnewline
0.2 & 60.6592814542087 & 3.43939021796465 \tabularnewline
0.21 & 61.827079815527 & 3.3558759594203 \tabularnewline
0.22 & 62.9354252882652 & 3.16199500491274 \tabularnewline
0.23 & 63.9595929743968 & 2.922589835056 \tabularnewline
0.24 & 64.8962142252979 & 2.70566630164987 \tabularnewline
0.25 & 65.7599195897544 & 2.55891759989579 \tabularnewline
0.26 & 66.5748045213609 & 2.49539446376029 \tabularnewline
0.27 & 67.365002958019 & 2.49825257730193 \tabularnewline
0.28 & 68.1480076326976 & 2.53583496991454 \tabularnewline
0.29 & 68.932245334896 & 2.57817570271222 \tabularnewline
0.3 & 69.7183028574232 & 2.60557125531221 \tabularnewline
0.31 & 70.5021371581564 & 2.61080519546263 \tabularnewline
0.32 & 71.278681800717 & 2.59761232563200 \tabularnewline
0.33 & 72.044914854257 & 2.57791012529031 \tabularnewline
0.34 & 72.8020434822969 & 2.56977372963524 \tabularnewline
0.35 & 73.556688788235 & 2.594485691527 \tabularnewline
0.36 & 74.3209088208807 & 2.67193062281821 \tabularnewline
0.37 & 75.110841946097 & 2.81455479278008 \tabularnewline
0.38 & 75.9438918951843 & 3.02132163001128 \tabularnewline
0.39 & 76.8347492837536 & 3.27394105287926 \tabularnewline
0.4 & 77.7910411400859 & 3.53751107155945 \tabularnewline
0.41 & 78.8098111599931 & 3.76649419095073 \tabularnewline
0.42 & 79.8761175933203 & 3.91611080414945 \tabularnewline
0.43 & 80.96462649653 & 3.95307356606651 \tabularnewline
0.44 & 82.0442152569151 & 3.86675277723697 \tabularnewline
0.45 & 83.0845789737074 & 3.67265406952187 \tabularnewline
0.46 & 84.063079695533 & 3.4113938201388 \tabularnewline
0.47 & 84.9699278452564 & 3.13764262509634 \tabularnewline
0.48 & 85.8102923430964 & 2.90968297816014 \tabularnewline
0.49 & 86.6028761344545 & 2.77524528911203 \tabularnewline
0.5 & 87.375505824315 & 2.76040071489283 \tabularnewline
0.51 & 88.1590406812668 & 2.86304158164032 \tabularnewline
0.52 & 88.9812160068747 & 3.05673851485096 \tabularnewline
0.53 & 89.8618680128972 & 3.30198818051574 \tabularnewline
0.54 & 90.8104527717224 & 3.55633074451522 \tabularnewline
0.55 & 91.8260760805781 & 3.78430279463464 \tabularnewline
0.56 & 92.8996189419623 & 3.9617794113459 \tabularnewline
0.57 & 94.0171337656274 & 4.07905293086076 \tabularnewline
0.58 & 95.1635432805519 & 4.1394953138523 \tabularnewline
0.59 & 96.325745211634 & 4.15615411081049 \tabularnewline
0.6 & 97.4944337776583 & 4.14577398975747 \tabularnewline
0.61 & 98.6642595727999 & 4.12297764180744 \tabularnewline
0.62 & 99.8323777915305 & 4.09475689995509 \tabularnewline
0.63 & 100.995975262368 & 4.05643362522466 \tabularnewline
0.64 & 102.149890960361 & 3.99525090925711 \tabularnewline
0.65 & 103.285671461699 & 3.89697085026647 \tabularnewline
0.66 & 104.393027581805 & 3.75656424475085 \tabularnewline
0.67 & 105.463612432187 & 3.58671823020687 \tabularnewline
0.68 & 106.495695675377 & 3.41854107571591 \tabularnewline
0.69 & 107.497399382222 & 3.29300811101932 \tabularnewline
0.7 & 108.486381333315 & 3.2436307779762 \tabularnewline
0.71 & 109.485352189964 & 3.27960924264833 \tabularnewline
0.72 & 110.514974183592 & 3.37843309513834 \tabularnewline
0.73 & 111.587374205718 & 3.49690050722436 \tabularnewline
0.74 & 112.703658831022 & 3.59280586312577 \tabularnewline
0.75 & 113.857073030188 & 3.64590931230652 \tabularnewline
0.76 & 115.040427993713 & 3.66782131080327 \tabularnewline
0.77 & 116.253656201161 & 3.69535946952658 \tabularnewline
0.78 & 117.506638116940 & 3.76552573589069 \tabularnewline
0.79 & 118.814806969101 & 3.88713111233735 \tabularnewline
0.8 & 120.189643149943 & 4.02853515479715 \tabularnewline
0.81 & 121.630239759628 & 4.13637492575896 \tabularnewline
0.82 & 123.122534774872 & 4.17077553239361 \tabularnewline
0.83 & 124.648568001836 & 4.13528266054635 \tabularnewline
0.84 & 126.201530929044 & 4.08256954177386 \tabularnewline
0.85 & 127.797701038983 & 4.08922682015274 \tabularnewline
0.86 & 129.477274320853 & 4.21204082322988 \tabularnewline
0.87 & 131.293640137191 & 4.45385144901683 \tabularnewline
0.88 & 133.301366120018 & 4.77783211042295 \tabularnewline
0.89 & 135.558377843573 & 5.16998903793421 \tabularnewline
0.9 & 138.147416758101 & 5.69044490337828 \tabularnewline
0.91 & 141.196431838662 & 6.43305349580894 \tabularnewline
0.92 & 144.864690372583 & 7.38405326689302 \tabularnewline
0.93 & 149.314485936989 & 8.38683012060772 \tabularnewline
0.94 & 154.826872581506 & 9.53999773175257 \tabularnewline
0.95 & 162.267398516649 & 11.9795307047083 \tabularnewline
0.96 & 173.495486436757 & 17.2082148137273 \tabularnewline
0.97 & 189.981512378352 & 22.3614415903140 \tabularnewline
0.98 & 210.138696012593 & 20.2283003337373 \tabularnewline
0.99 & 235.843074746635 & 19.8775139074375 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74313&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]32.8262505338925[/C][C]2.37443368749228[/C][/ROW]
[ROW][C]0.02[/C][C]36.2123142249198[/C][C]3.32669151371874[/C][/ROW]
[ROW][C]0.03[/C][C]39.3628739365973[/C][C]3.27622812210458[/C][/ROW]
[ROW][C]0.04[/C][C]41.8410493761689[/C][C]2.55937126100198[/C][/ROW]
[ROW][C]0.05[/C][C]43.5955211579673[/C][C]2.06707406843108[/C][/ROW]
[ROW][C]0.06[/C][C]44.9188303953494[/C][C]1.90361728872181[/C][/ROW]
[ROW][C]0.07[/C][C]46.0816193106075[/C][C]2.05462850781748[/C][/ROW]
[ROW][C]0.08[/C][C]47.2626960545238[/C][C]2.41227879940188[/C][/ROW]
[ROW][C]0.09[/C][C]48.535068991601[/C][C]2.74760497225311[/C][/ROW]
[ROW][C]0.1[/C][C]49.8657250477447[/C][C]2.87549208711149[/C][/ROW]
[ROW][C]0.11[/C][C]51.1646302733343[/C][C]2.76622228738966[/C][/ROW]
[ROW][C]0.12[/C][C]52.3540619680752[/C][C]2.52743789577291[/C][/ROW]
[ROW][C]0.13[/C][C]53.4107380545117[/C][C]2.3115256173996[/C][/ROW]
[ROW][C]0.14[/C][C]54.366206052309[/C][C]2.23145754188442[/C][/ROW]
[ROW][C]0.15[/C][C]55.2820293077421[/C][C]2.32612647192665[/C][/ROW]
[ROW][C]0.16[/C][C]56.2213381028574[/C][C]2.56510910296583[/C][/ROW]
[ROW][C]0.17[/C][C]57.2282135863841[/C][C]2.87605642407837[/C][/ROW]
[ROW][C]0.18[/C][C]58.3174126007881[/C][C]3.17218797664873[/C][/ROW]
[ROW][C]0.19[/C][C]59.4736898762413[/C][C]3.37612678018888[/C][/ROW]
[ROW][C]0.2[/C][C]60.6592814542087[/C][C]3.43939021796465[/C][/ROW]
[ROW][C]0.21[/C][C]61.827079815527[/C][C]3.3558759594203[/C][/ROW]
[ROW][C]0.22[/C][C]62.9354252882652[/C][C]3.16199500491274[/C][/ROW]
[ROW][C]0.23[/C][C]63.9595929743968[/C][C]2.922589835056[/C][/ROW]
[ROW][C]0.24[/C][C]64.8962142252979[/C][C]2.70566630164987[/C][/ROW]
[ROW][C]0.25[/C][C]65.7599195897544[/C][C]2.55891759989579[/C][/ROW]
[ROW][C]0.26[/C][C]66.5748045213609[/C][C]2.49539446376029[/C][/ROW]
[ROW][C]0.27[/C][C]67.365002958019[/C][C]2.49825257730193[/C][/ROW]
[ROW][C]0.28[/C][C]68.1480076326976[/C][C]2.53583496991454[/C][/ROW]
[ROW][C]0.29[/C][C]68.932245334896[/C][C]2.57817570271222[/C][/ROW]
[ROW][C]0.3[/C][C]69.7183028574232[/C][C]2.60557125531221[/C][/ROW]
[ROW][C]0.31[/C][C]70.5021371581564[/C][C]2.61080519546263[/C][/ROW]
[ROW][C]0.32[/C][C]71.278681800717[/C][C]2.59761232563200[/C][/ROW]
[ROW][C]0.33[/C][C]72.044914854257[/C][C]2.57791012529031[/C][/ROW]
[ROW][C]0.34[/C][C]72.8020434822969[/C][C]2.56977372963524[/C][/ROW]
[ROW][C]0.35[/C][C]73.556688788235[/C][C]2.594485691527[/C][/ROW]
[ROW][C]0.36[/C][C]74.3209088208807[/C][C]2.67193062281821[/C][/ROW]
[ROW][C]0.37[/C][C]75.110841946097[/C][C]2.81455479278008[/C][/ROW]
[ROW][C]0.38[/C][C]75.9438918951843[/C][C]3.02132163001128[/C][/ROW]
[ROW][C]0.39[/C][C]76.8347492837536[/C][C]3.27394105287926[/C][/ROW]
[ROW][C]0.4[/C][C]77.7910411400859[/C][C]3.53751107155945[/C][/ROW]
[ROW][C]0.41[/C][C]78.8098111599931[/C][C]3.76649419095073[/C][/ROW]
[ROW][C]0.42[/C][C]79.8761175933203[/C][C]3.91611080414945[/C][/ROW]
[ROW][C]0.43[/C][C]80.96462649653[/C][C]3.95307356606651[/C][/ROW]
[ROW][C]0.44[/C][C]82.0442152569151[/C][C]3.86675277723697[/C][/ROW]
[ROW][C]0.45[/C][C]83.0845789737074[/C][C]3.67265406952187[/C][/ROW]
[ROW][C]0.46[/C][C]84.063079695533[/C][C]3.4113938201388[/C][/ROW]
[ROW][C]0.47[/C][C]84.9699278452564[/C][C]3.13764262509634[/C][/ROW]
[ROW][C]0.48[/C][C]85.8102923430964[/C][C]2.90968297816014[/C][/ROW]
[ROW][C]0.49[/C][C]86.6028761344545[/C][C]2.77524528911203[/C][/ROW]
[ROW][C]0.5[/C][C]87.375505824315[/C][C]2.76040071489283[/C][/ROW]
[ROW][C]0.51[/C][C]88.1590406812668[/C][C]2.86304158164032[/C][/ROW]
[ROW][C]0.52[/C][C]88.9812160068747[/C][C]3.05673851485096[/C][/ROW]
[ROW][C]0.53[/C][C]89.8618680128972[/C][C]3.30198818051574[/C][/ROW]
[ROW][C]0.54[/C][C]90.8104527717224[/C][C]3.55633074451522[/C][/ROW]
[ROW][C]0.55[/C][C]91.8260760805781[/C][C]3.78430279463464[/C][/ROW]
[ROW][C]0.56[/C][C]92.8996189419623[/C][C]3.9617794113459[/C][/ROW]
[ROW][C]0.57[/C][C]94.0171337656274[/C][C]4.07905293086076[/C][/ROW]
[ROW][C]0.58[/C][C]95.1635432805519[/C][C]4.1394953138523[/C][/ROW]
[ROW][C]0.59[/C][C]96.325745211634[/C][C]4.15615411081049[/C][/ROW]
[ROW][C]0.6[/C][C]97.4944337776583[/C][C]4.14577398975747[/C][/ROW]
[ROW][C]0.61[/C][C]98.6642595727999[/C][C]4.12297764180744[/C][/ROW]
[ROW][C]0.62[/C][C]99.8323777915305[/C][C]4.09475689995509[/C][/ROW]
[ROW][C]0.63[/C][C]100.995975262368[/C][C]4.05643362522466[/C][/ROW]
[ROW][C]0.64[/C][C]102.149890960361[/C][C]3.99525090925711[/C][/ROW]
[ROW][C]0.65[/C][C]103.285671461699[/C][C]3.89697085026647[/C][/ROW]
[ROW][C]0.66[/C][C]104.393027581805[/C][C]3.75656424475085[/C][/ROW]
[ROW][C]0.67[/C][C]105.463612432187[/C][C]3.58671823020687[/C][/ROW]
[ROW][C]0.68[/C][C]106.495695675377[/C][C]3.41854107571591[/C][/ROW]
[ROW][C]0.69[/C][C]107.497399382222[/C][C]3.29300811101932[/C][/ROW]
[ROW][C]0.7[/C][C]108.486381333315[/C][C]3.2436307779762[/C][/ROW]
[ROW][C]0.71[/C][C]109.485352189964[/C][C]3.27960924264833[/C][/ROW]
[ROW][C]0.72[/C][C]110.514974183592[/C][C]3.37843309513834[/C][/ROW]
[ROW][C]0.73[/C][C]111.587374205718[/C][C]3.49690050722436[/C][/ROW]
[ROW][C]0.74[/C][C]112.703658831022[/C][C]3.59280586312577[/C][/ROW]
[ROW][C]0.75[/C][C]113.857073030188[/C][C]3.64590931230652[/C][/ROW]
[ROW][C]0.76[/C][C]115.040427993713[/C][C]3.66782131080327[/C][/ROW]
[ROW][C]0.77[/C][C]116.253656201161[/C][C]3.69535946952658[/C][/ROW]
[ROW][C]0.78[/C][C]117.506638116940[/C][C]3.76552573589069[/C][/ROW]
[ROW][C]0.79[/C][C]118.814806969101[/C][C]3.88713111233735[/C][/ROW]
[ROW][C]0.8[/C][C]120.189643149943[/C][C]4.02853515479715[/C][/ROW]
[ROW][C]0.81[/C][C]121.630239759628[/C][C]4.13637492575896[/C][/ROW]
[ROW][C]0.82[/C][C]123.122534774872[/C][C]4.17077553239361[/C][/ROW]
[ROW][C]0.83[/C][C]124.648568001836[/C][C]4.13528266054635[/C][/ROW]
[ROW][C]0.84[/C][C]126.201530929044[/C][C]4.08256954177386[/C][/ROW]
[ROW][C]0.85[/C][C]127.797701038983[/C][C]4.08922682015274[/C][/ROW]
[ROW][C]0.86[/C][C]129.477274320853[/C][C]4.21204082322988[/C][/ROW]
[ROW][C]0.87[/C][C]131.293640137191[/C][C]4.45385144901683[/C][/ROW]
[ROW][C]0.88[/C][C]133.301366120018[/C][C]4.77783211042295[/C][/ROW]
[ROW][C]0.89[/C][C]135.558377843573[/C][C]5.16998903793421[/C][/ROW]
[ROW][C]0.9[/C][C]138.147416758101[/C][C]5.69044490337828[/C][/ROW]
[ROW][C]0.91[/C][C]141.196431838662[/C][C]6.43305349580894[/C][/ROW]
[ROW][C]0.92[/C][C]144.864690372583[/C][C]7.38405326689302[/C][/ROW]
[ROW][C]0.93[/C][C]149.314485936989[/C][C]8.38683012060772[/C][/ROW]
[ROW][C]0.94[/C][C]154.826872581506[/C][C]9.53999773175257[/C][/ROW]
[ROW][C]0.95[/C][C]162.267398516649[/C][C]11.9795307047083[/C][/ROW]
[ROW][C]0.96[/C][C]173.495486436757[/C][C]17.2082148137273[/C][/ROW]
[ROW][C]0.97[/C][C]189.981512378352[/C][C]22.3614415903140[/C][/ROW]
[ROW][C]0.98[/C][C]210.138696012593[/C][C]20.2283003337373[/C][/ROW]
[ROW][C]0.99[/C][C]235.843074746635[/C][C]19.8775139074375[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74313&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74313&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
0.0132.82625053389252.37443368749228
0.0236.21231422491983.32669151371874
0.0339.36287393659733.27622812210458
0.0441.84104937616892.55937126100198
0.0543.59552115796732.06707406843108
0.0644.91883039534941.90361728872181
0.0746.08161931060752.05462850781748
0.0847.26269605452382.41227879940188
0.0948.5350689916012.74760497225311
0.149.86572504774472.87549208711149
0.1151.16463027333432.76622228738966
0.1252.35406196807522.52743789577291
0.1353.41073805451172.3115256173996
0.1454.3662060523092.23145754188442
0.1555.28202930774212.32612647192665
0.1656.22133810285742.56510910296583
0.1757.22821358638412.87605642407837
0.1858.31741260078813.17218797664873
0.1959.47368987624133.37612678018888
0.260.65928145420873.43939021796465
0.2161.8270798155273.3558759594203
0.2262.93542528826523.16199500491274
0.2363.95959297439682.922589835056
0.2464.89621422529792.70566630164987
0.2565.75991958975442.55891759989579
0.2666.57480452136092.49539446376029
0.2767.3650029580192.49825257730193
0.2868.14800763269762.53583496991454
0.2968.9322453348962.57817570271222
0.369.71830285742322.60557125531221
0.3170.50213715815642.61080519546263
0.3271.2786818007172.59761232563200
0.3372.0449148542572.57791012529031
0.3472.80204348229692.56977372963524
0.3573.5566887882352.594485691527
0.3674.32090882088072.67193062281821
0.3775.1108419460972.81455479278008
0.3875.94389189518433.02132163001128
0.3976.83474928375363.27394105287926
0.477.79104114008593.53751107155945
0.4178.80981115999313.76649419095073
0.4279.87611759332033.91611080414945
0.4380.964626496533.95307356606651
0.4482.04421525691513.86675277723697
0.4583.08457897370743.67265406952187
0.4684.0630796955333.4113938201388
0.4784.96992784525643.13764262509634
0.4885.81029234309642.90968297816014
0.4986.60287613445452.77524528911203
0.587.3755058243152.76040071489283
0.5188.15904068126682.86304158164032
0.5288.98121600687473.05673851485096
0.5389.86186801289723.30198818051574
0.5490.81045277172243.55633074451522
0.5591.82607608057813.78430279463464
0.5692.89961894196233.9617794113459
0.5794.01713376562744.07905293086076
0.5895.16354328055194.1394953138523
0.5996.3257452116344.15615411081049
0.697.49443377765834.14577398975747
0.6198.66425957279994.12297764180744
0.6299.83237779153054.09475689995509
0.63100.9959752623684.05643362522466
0.64102.1498909603613.99525090925711
0.65103.2856714616993.89697085026647
0.66104.3930275818053.75656424475085
0.67105.4636124321873.58671823020687
0.68106.4956956753773.41854107571591
0.69107.4973993822223.29300811101932
0.7108.4863813333153.2436307779762
0.71109.4853521899643.27960924264833
0.72110.5149741835923.37843309513834
0.73111.5873742057183.49690050722436
0.74112.7036588310223.59280586312577
0.75113.8570730301883.64590931230652
0.76115.0404279937133.66782131080327
0.77116.2536562011613.69535946952658
0.78117.5066381169403.76552573589069
0.79118.8148069691013.88713111233735
0.8120.1896431499434.02853515479715
0.81121.6302397596284.13637492575896
0.82123.1225347748724.17077553239361
0.83124.6485680018364.13528266054635
0.84126.2015309290444.08256954177386
0.85127.7977010389834.08922682015274
0.86129.4772743208534.21204082322988
0.87131.2936401371914.45385144901683
0.88133.3013661200184.77783211042295
0.89135.5583778435735.16998903793421
0.9138.1474167581015.69044490337828
0.91141.1964318386626.43305349580894
0.92144.8646903725837.38405326689302
0.93149.3144859369898.38683012060772
0.94154.8268725815069.53999773175257
0.95162.26739851664911.9795307047083
0.96173.49548643675717.2082148137273
0.97189.98151237835222.3614415903140
0.98210.13869601259320.2283003337373
0.99235.84307474663519.8775139074375



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')