## Free Statistics

of Irreproducible Research!

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 Wed, 10 Aug 2022 07:41:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74313, Retrieved Wed, 10 Aug 2022 07:41:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact129
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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'Gwilym Jenkins' @ 72.249.127.135

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

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

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')