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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 05 Mar 2010 04:57:58 -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/05/t12677903382pntlq7psa6l9pl.htm/, Retrieved Sat, 22 Jan 2022 18:39:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73996, Retrieved Sat, 22 Jan 2022 18:39:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact146
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Percentielen - Ve...] [2010-03-05 11:57:58] [f4f549f228d34384e7bf90c4c5a21d21] [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
46




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=73996&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=73996&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73996&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
0.0132.84606289505322.37742248572641
0.0236.25028391171713.33413169896722
0.0339.41038228322623.26136344094474
0.0441.87668370174122.51813090705727
0.0543.59070587507211.96536758266378
0.0644.82801344860341.68931047407956
0.0745.85095221286551.73117620692619
0.0846.86212807896692.07557498979539
0.0947.98442574672852.51810519253997
0.149.22991252767612.8194305636529
0.1150.52143012841442.86407752397183
0.1251.75957417498712.69884715783487
0.1352.88359462268082.46712995215796
0.1453.89291506614122.31281207980213
0.1554.83287424957032.31807219453595
0.1655.76605264792772.48785855220955
0.1756.74642948973832.76806480979554
0.1857.80327582332993.07583055744746
0.1958.93550172323653.32631519245862
0.260.11527369950493.45540212343717
0.2161.2988327329193.43637624465414
0.2262.44102936032273.28683411496909
0.2363.50880634089153.06055605635381
0.2464.48909425536672.82686611313607
0.2565.38890563365642.64436392147072
0.2666.2288114926142.54243576285991
0.2767.03354171356072.51656360065158
0.2867.82383941775542.53997493706312
0.2968.61210823432582.58067477631953
0.369.40213862259092.61405539003246
0.3170.19161159020812.62741954586757
0.3270.97567306047982.62020133198823
0.3371.75032718011772.60131402732537
0.3472.51505342706652.5867876843533
0.3573.27444215900332.59742288267486
0.3674.03869904688162.65403624927996
0.3774.82280473434012.77307965108801
0.3875.644179128722.95860443982638
0.3976.5190004530863.19841356905815
0.477.45780983498653.46247801743483
0.4178.46150900760613.70789214752500
0.4279.51908428590533.88790332468430
0.4380.6081510055353.96375502195603
0.4481.69866617053083.91664060291426
0.4582.75912164212753.75348199020615
0.4683.76362231652383.50770503641171
0.4784.69787344811013.23112414394844
0.4885.56241138696332.98323567031224
0.4986.37226775855832.81681830204998
0.587.15331333741782.76533832650144
0.5187.93641890538362.83554680249847
0.5288.75104498430823.00717520554416
0.5389.61984492694423.24249536646586
0.5490.55540977463423.49864068290501
0.5591.55959007201853.7368700955387
0.5692.62513700396313.92947285059741
0.5793.73890563775784.06297932569667
0.5894.88563813627064.13709974397942
0.5996.05136370702864.16295601681248
0.697.22563527434544.15754755812726
0.6198.40211989359034.13675412439747
0.6299.57747641279554.1090504863543
0.63100.7489959108194.07300579954933
0.64101.9120485126244.01678330491479
0.65103.0587111182373.92598558501673
0.66104.1787128762713.79261033796042
0.67105.2628825348323.62545590275358
0.68106.3079005699633.45308325874369
0.69107.3200634966453.31622715874928
0.7108.3157339775393.25147961740718
0.71109.3174780096723.27339839273052
0.72110.3470810298253.36430711344848
0.73111.4185596819543.48282681817889
0.74112.5347742771523.58445752860607
0.75113.6897501068803.64399870563459
0.76114.8758121553993.66881536161672
0.77116.0916001356113.69348797214475
0.78117.3458708956703.75734290427817
0.79118.6539887971183.87375164614255
0.8120.0285981108014.01598810468955
0.81121.4704725549374.13031124391418
0.82122.9665727799544.17332656633814
0.83124.4984667397334.14318096434077
0.84126.057492528864.08867736818336
0.85127.6577409662104.08714272553843
0.86129.3381782044894.19994910847862
0.87131.1524651612644.43462017980466
0.88133.1561852514564.75553569076808
0.89135.4075446955375.14438990900436
0.9137.9882876832395.65738439051434
0.91141.0257204222006.39073562652244
0.92144.6810082559897.33978844667073
0.93149.1186769814388.34829730039115
0.94154.6133387323709.49140198754911
0.95162.01278993604711.8760115881360
0.96173.18100410842417.0659140893032
0.97189.65869249224722.3191388592642
0.98209.89253086789420.2974929019069
0.99235.65854172074919.8048324908144

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 32.8460628950532 & 2.37742248572641 \tabularnewline
0.02 & 36.2502839117171 & 3.33413169896722 \tabularnewline
0.03 & 39.4103822832262 & 3.26136344094474 \tabularnewline
0.04 & 41.8766837017412 & 2.51813090705727 \tabularnewline
0.05 & 43.5907058750721 & 1.96536758266378 \tabularnewline
0.06 & 44.8280134486034 & 1.68931047407956 \tabularnewline
0.07 & 45.8509522128655 & 1.73117620692619 \tabularnewline
0.08 & 46.8621280789669 & 2.07557498979539 \tabularnewline
0.09 & 47.9844257467285 & 2.51810519253997 \tabularnewline
0.1 & 49.2299125276761 & 2.8194305636529 \tabularnewline
0.11 & 50.5214301284144 & 2.86407752397183 \tabularnewline
0.12 & 51.7595741749871 & 2.69884715783487 \tabularnewline
0.13 & 52.8835946226808 & 2.46712995215796 \tabularnewline
0.14 & 53.8929150661412 & 2.31281207980213 \tabularnewline
0.15 & 54.8328742495703 & 2.31807219453595 \tabularnewline
0.16 & 55.7660526479277 & 2.48785855220955 \tabularnewline
0.17 & 56.7464294897383 & 2.76806480979554 \tabularnewline
0.18 & 57.8032758233299 & 3.07583055744746 \tabularnewline
0.19 & 58.9355017232365 & 3.32631519245862 \tabularnewline
0.2 & 60.1152736995049 & 3.45540212343717 \tabularnewline
0.21 & 61.298832732919 & 3.43637624465414 \tabularnewline
0.22 & 62.4410293603227 & 3.28683411496909 \tabularnewline
0.23 & 63.5088063408915 & 3.06055605635381 \tabularnewline
0.24 & 64.4890942553667 & 2.82686611313607 \tabularnewline
0.25 & 65.3889056336564 & 2.64436392147072 \tabularnewline
0.26 & 66.228811492614 & 2.54243576285991 \tabularnewline
0.27 & 67.0335417135607 & 2.51656360065158 \tabularnewline
0.28 & 67.8238394177554 & 2.53997493706312 \tabularnewline
0.29 & 68.6121082343258 & 2.58067477631953 \tabularnewline
0.3 & 69.4021386225909 & 2.61405539003246 \tabularnewline
0.31 & 70.1916115902081 & 2.62741954586757 \tabularnewline
0.32 & 70.9756730604798 & 2.62020133198823 \tabularnewline
0.33 & 71.7503271801177 & 2.60131402732537 \tabularnewline
0.34 & 72.5150534270665 & 2.5867876843533 \tabularnewline
0.35 & 73.2744421590033 & 2.59742288267486 \tabularnewline
0.36 & 74.0386990468816 & 2.65403624927996 \tabularnewline
0.37 & 74.8228047343401 & 2.77307965108801 \tabularnewline
0.38 & 75.64417912872 & 2.95860443982638 \tabularnewline
0.39 & 76.519000453086 & 3.19841356905815 \tabularnewline
0.4 & 77.4578098349865 & 3.46247801743483 \tabularnewline
0.41 & 78.4615090076061 & 3.70789214752500 \tabularnewline
0.42 & 79.5190842859053 & 3.88790332468430 \tabularnewline
0.43 & 80.608151005535 & 3.96375502195603 \tabularnewline
0.44 & 81.6986661705308 & 3.91664060291426 \tabularnewline
0.45 & 82.7591216421275 & 3.75348199020615 \tabularnewline
0.46 & 83.7636223165238 & 3.50770503641171 \tabularnewline
0.47 & 84.6978734481101 & 3.23112414394844 \tabularnewline
0.48 & 85.5624113869633 & 2.98323567031224 \tabularnewline
0.49 & 86.3722677585583 & 2.81681830204998 \tabularnewline
0.5 & 87.1533133374178 & 2.76533832650144 \tabularnewline
0.51 & 87.9364189053836 & 2.83554680249847 \tabularnewline
0.52 & 88.7510449843082 & 3.00717520554416 \tabularnewline
0.53 & 89.6198449269442 & 3.24249536646586 \tabularnewline
0.54 & 90.5554097746342 & 3.49864068290501 \tabularnewline
0.55 & 91.5595900720185 & 3.7368700955387 \tabularnewline
0.56 & 92.6251370039631 & 3.92947285059741 \tabularnewline
0.57 & 93.7389056377578 & 4.06297932569667 \tabularnewline
0.58 & 94.8856381362706 & 4.13709974397942 \tabularnewline
0.59 & 96.0513637070286 & 4.16295601681248 \tabularnewline
0.6 & 97.2256352743454 & 4.15754755812726 \tabularnewline
0.61 & 98.4021198935903 & 4.13675412439747 \tabularnewline
0.62 & 99.5774764127955 & 4.1090504863543 \tabularnewline
0.63 & 100.748995910819 & 4.07300579954933 \tabularnewline
0.64 & 101.912048512624 & 4.01678330491479 \tabularnewline
0.65 & 103.058711118237 & 3.92598558501673 \tabularnewline
0.66 & 104.178712876271 & 3.79261033796042 \tabularnewline
0.67 & 105.262882534832 & 3.62545590275358 \tabularnewline
0.68 & 106.307900569963 & 3.45308325874369 \tabularnewline
0.69 & 107.320063496645 & 3.31622715874928 \tabularnewline
0.7 & 108.315733977539 & 3.25147961740718 \tabularnewline
0.71 & 109.317478009672 & 3.27339839273052 \tabularnewline
0.72 & 110.347081029825 & 3.36430711344848 \tabularnewline
0.73 & 111.418559681954 & 3.48282681817889 \tabularnewline
0.74 & 112.534774277152 & 3.58445752860607 \tabularnewline
0.75 & 113.689750106880 & 3.64399870563459 \tabularnewline
0.76 & 114.875812155399 & 3.66881536161672 \tabularnewline
0.77 & 116.091600135611 & 3.69348797214475 \tabularnewline
0.78 & 117.345870895670 & 3.75734290427817 \tabularnewline
0.79 & 118.653988797118 & 3.87375164614255 \tabularnewline
0.8 & 120.028598110801 & 4.01598810468955 \tabularnewline
0.81 & 121.470472554937 & 4.13031124391418 \tabularnewline
0.82 & 122.966572779954 & 4.17332656633814 \tabularnewline
0.83 & 124.498466739733 & 4.14318096434077 \tabularnewline
0.84 & 126.05749252886 & 4.08867736818336 \tabularnewline
0.85 & 127.657740966210 & 4.08714272553843 \tabularnewline
0.86 & 129.338178204489 & 4.19994910847862 \tabularnewline
0.87 & 131.152465161264 & 4.43462017980466 \tabularnewline
0.88 & 133.156185251456 & 4.75553569076808 \tabularnewline
0.89 & 135.407544695537 & 5.14438990900436 \tabularnewline
0.9 & 137.988287683239 & 5.65738439051434 \tabularnewline
0.91 & 141.025720422200 & 6.39073562652244 \tabularnewline
0.92 & 144.681008255989 & 7.33978844667073 \tabularnewline
0.93 & 149.118676981438 & 8.34829730039115 \tabularnewline
0.94 & 154.613338732370 & 9.49140198754911 \tabularnewline
0.95 & 162.012789936047 & 11.8760115881360 \tabularnewline
0.96 & 173.181004108424 & 17.0659140893032 \tabularnewline
0.97 & 189.658692492247 & 22.3191388592642 \tabularnewline
0.98 & 209.892530867894 & 20.2974929019069 \tabularnewline
0.99 & 235.658541720749 & 19.8048324908144 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73996&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]32.8460628950532[/C][C]2.37742248572641[/C][/ROW]
[ROW][C]0.02[/C][C]36.2502839117171[/C][C]3.33413169896722[/C][/ROW]
[ROW][C]0.03[/C][C]39.4103822832262[/C][C]3.26136344094474[/C][/ROW]
[ROW][C]0.04[/C][C]41.8766837017412[/C][C]2.51813090705727[/C][/ROW]
[ROW][C]0.05[/C][C]43.5907058750721[/C][C]1.96536758266378[/C][/ROW]
[ROW][C]0.06[/C][C]44.8280134486034[/C][C]1.68931047407956[/C][/ROW]
[ROW][C]0.07[/C][C]45.8509522128655[/C][C]1.73117620692619[/C][/ROW]
[ROW][C]0.08[/C][C]46.8621280789669[/C][C]2.07557498979539[/C][/ROW]
[ROW][C]0.09[/C][C]47.9844257467285[/C][C]2.51810519253997[/C][/ROW]
[ROW][C]0.1[/C][C]49.2299125276761[/C][C]2.8194305636529[/C][/ROW]
[ROW][C]0.11[/C][C]50.5214301284144[/C][C]2.86407752397183[/C][/ROW]
[ROW][C]0.12[/C][C]51.7595741749871[/C][C]2.69884715783487[/C][/ROW]
[ROW][C]0.13[/C][C]52.8835946226808[/C][C]2.46712995215796[/C][/ROW]
[ROW][C]0.14[/C][C]53.8929150661412[/C][C]2.31281207980213[/C][/ROW]
[ROW][C]0.15[/C][C]54.8328742495703[/C][C]2.31807219453595[/C][/ROW]
[ROW][C]0.16[/C][C]55.7660526479277[/C][C]2.48785855220955[/C][/ROW]
[ROW][C]0.17[/C][C]56.7464294897383[/C][C]2.76806480979554[/C][/ROW]
[ROW][C]0.18[/C][C]57.8032758233299[/C][C]3.07583055744746[/C][/ROW]
[ROW][C]0.19[/C][C]58.9355017232365[/C][C]3.32631519245862[/C][/ROW]
[ROW][C]0.2[/C][C]60.1152736995049[/C][C]3.45540212343717[/C][/ROW]
[ROW][C]0.21[/C][C]61.298832732919[/C][C]3.43637624465414[/C][/ROW]
[ROW][C]0.22[/C][C]62.4410293603227[/C][C]3.28683411496909[/C][/ROW]
[ROW][C]0.23[/C][C]63.5088063408915[/C][C]3.06055605635381[/C][/ROW]
[ROW][C]0.24[/C][C]64.4890942553667[/C][C]2.82686611313607[/C][/ROW]
[ROW][C]0.25[/C][C]65.3889056336564[/C][C]2.64436392147072[/C][/ROW]
[ROW][C]0.26[/C][C]66.228811492614[/C][C]2.54243576285991[/C][/ROW]
[ROW][C]0.27[/C][C]67.0335417135607[/C][C]2.51656360065158[/C][/ROW]
[ROW][C]0.28[/C][C]67.8238394177554[/C][C]2.53997493706312[/C][/ROW]
[ROW][C]0.29[/C][C]68.6121082343258[/C][C]2.58067477631953[/C][/ROW]
[ROW][C]0.3[/C][C]69.4021386225909[/C][C]2.61405539003246[/C][/ROW]
[ROW][C]0.31[/C][C]70.1916115902081[/C][C]2.62741954586757[/C][/ROW]
[ROW][C]0.32[/C][C]70.9756730604798[/C][C]2.62020133198823[/C][/ROW]
[ROW][C]0.33[/C][C]71.7503271801177[/C][C]2.60131402732537[/C][/ROW]
[ROW][C]0.34[/C][C]72.5150534270665[/C][C]2.5867876843533[/C][/ROW]
[ROW][C]0.35[/C][C]73.2744421590033[/C][C]2.59742288267486[/C][/ROW]
[ROW][C]0.36[/C][C]74.0386990468816[/C][C]2.65403624927996[/C][/ROW]
[ROW][C]0.37[/C][C]74.8228047343401[/C][C]2.77307965108801[/C][/ROW]
[ROW][C]0.38[/C][C]75.64417912872[/C][C]2.95860443982638[/C][/ROW]
[ROW][C]0.39[/C][C]76.519000453086[/C][C]3.19841356905815[/C][/ROW]
[ROW][C]0.4[/C][C]77.4578098349865[/C][C]3.46247801743483[/C][/ROW]
[ROW][C]0.41[/C][C]78.4615090076061[/C][C]3.70789214752500[/C][/ROW]
[ROW][C]0.42[/C][C]79.5190842859053[/C][C]3.88790332468430[/C][/ROW]
[ROW][C]0.43[/C][C]80.608151005535[/C][C]3.96375502195603[/C][/ROW]
[ROW][C]0.44[/C][C]81.6986661705308[/C][C]3.91664060291426[/C][/ROW]
[ROW][C]0.45[/C][C]82.7591216421275[/C][C]3.75348199020615[/C][/ROW]
[ROW][C]0.46[/C][C]83.7636223165238[/C][C]3.50770503641171[/C][/ROW]
[ROW][C]0.47[/C][C]84.6978734481101[/C][C]3.23112414394844[/C][/ROW]
[ROW][C]0.48[/C][C]85.5624113869633[/C][C]2.98323567031224[/C][/ROW]
[ROW][C]0.49[/C][C]86.3722677585583[/C][C]2.81681830204998[/C][/ROW]
[ROW][C]0.5[/C][C]87.1533133374178[/C][C]2.76533832650144[/C][/ROW]
[ROW][C]0.51[/C][C]87.9364189053836[/C][C]2.83554680249847[/C][/ROW]
[ROW][C]0.52[/C][C]88.7510449843082[/C][C]3.00717520554416[/C][/ROW]
[ROW][C]0.53[/C][C]89.6198449269442[/C][C]3.24249536646586[/C][/ROW]
[ROW][C]0.54[/C][C]90.5554097746342[/C][C]3.49864068290501[/C][/ROW]
[ROW][C]0.55[/C][C]91.5595900720185[/C][C]3.7368700955387[/C][/ROW]
[ROW][C]0.56[/C][C]92.6251370039631[/C][C]3.92947285059741[/C][/ROW]
[ROW][C]0.57[/C][C]93.7389056377578[/C][C]4.06297932569667[/C][/ROW]
[ROW][C]0.58[/C][C]94.8856381362706[/C][C]4.13709974397942[/C][/ROW]
[ROW][C]0.59[/C][C]96.0513637070286[/C][C]4.16295601681248[/C][/ROW]
[ROW][C]0.6[/C][C]97.2256352743454[/C][C]4.15754755812726[/C][/ROW]
[ROW][C]0.61[/C][C]98.4021198935903[/C][C]4.13675412439747[/C][/ROW]
[ROW][C]0.62[/C][C]99.5774764127955[/C][C]4.1090504863543[/C][/ROW]
[ROW][C]0.63[/C][C]100.748995910819[/C][C]4.07300579954933[/C][/ROW]
[ROW][C]0.64[/C][C]101.912048512624[/C][C]4.01678330491479[/C][/ROW]
[ROW][C]0.65[/C][C]103.058711118237[/C][C]3.92598558501673[/C][/ROW]
[ROW][C]0.66[/C][C]104.178712876271[/C][C]3.79261033796042[/C][/ROW]
[ROW][C]0.67[/C][C]105.262882534832[/C][C]3.62545590275358[/C][/ROW]
[ROW][C]0.68[/C][C]106.307900569963[/C][C]3.45308325874369[/C][/ROW]
[ROW][C]0.69[/C][C]107.320063496645[/C][C]3.31622715874928[/C][/ROW]
[ROW][C]0.7[/C][C]108.315733977539[/C][C]3.25147961740718[/C][/ROW]
[ROW][C]0.71[/C][C]109.317478009672[/C][C]3.27339839273052[/C][/ROW]
[ROW][C]0.72[/C][C]110.347081029825[/C][C]3.36430711344848[/C][/ROW]
[ROW][C]0.73[/C][C]111.418559681954[/C][C]3.48282681817889[/C][/ROW]
[ROW][C]0.74[/C][C]112.534774277152[/C][C]3.58445752860607[/C][/ROW]
[ROW][C]0.75[/C][C]113.689750106880[/C][C]3.64399870563459[/C][/ROW]
[ROW][C]0.76[/C][C]114.875812155399[/C][C]3.66881536161672[/C][/ROW]
[ROW][C]0.77[/C][C]116.091600135611[/C][C]3.69348797214475[/C][/ROW]
[ROW][C]0.78[/C][C]117.345870895670[/C][C]3.75734290427817[/C][/ROW]
[ROW][C]0.79[/C][C]118.653988797118[/C][C]3.87375164614255[/C][/ROW]
[ROW][C]0.8[/C][C]120.028598110801[/C][C]4.01598810468955[/C][/ROW]
[ROW][C]0.81[/C][C]121.470472554937[/C][C]4.13031124391418[/C][/ROW]
[ROW][C]0.82[/C][C]122.966572779954[/C][C]4.17332656633814[/C][/ROW]
[ROW][C]0.83[/C][C]124.498466739733[/C][C]4.14318096434077[/C][/ROW]
[ROW][C]0.84[/C][C]126.05749252886[/C][C]4.08867736818336[/C][/ROW]
[ROW][C]0.85[/C][C]127.657740966210[/C][C]4.08714272553843[/C][/ROW]
[ROW][C]0.86[/C][C]129.338178204489[/C][C]4.19994910847862[/C][/ROW]
[ROW][C]0.87[/C][C]131.152465161264[/C][C]4.43462017980466[/C][/ROW]
[ROW][C]0.88[/C][C]133.156185251456[/C][C]4.75553569076808[/C][/ROW]
[ROW][C]0.89[/C][C]135.407544695537[/C][C]5.14438990900436[/C][/ROW]
[ROW][C]0.9[/C][C]137.988287683239[/C][C]5.65738439051434[/C][/ROW]
[ROW][C]0.91[/C][C]141.025720422200[/C][C]6.39073562652244[/C][/ROW]
[ROW][C]0.92[/C][C]144.681008255989[/C][C]7.33978844667073[/C][/ROW]
[ROW][C]0.93[/C][C]149.118676981438[/C][C]8.34829730039115[/C][/ROW]
[ROW][C]0.94[/C][C]154.613338732370[/C][C]9.49140198754911[/C][/ROW]
[ROW][C]0.95[/C][C]162.012789936047[/C][C]11.8760115881360[/C][/ROW]
[ROW][C]0.96[/C][C]173.181004108424[/C][C]17.0659140893032[/C][/ROW]
[ROW][C]0.97[/C][C]189.658692492247[/C][C]22.3191388592642[/C][/ROW]
[ROW][C]0.98[/C][C]209.892530867894[/C][C]20.2974929019069[/C][/ROW]
[ROW][C]0.99[/C][C]235.658541720749[/C][C]19.8048324908144[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73996&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73996&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
0.0132.84606289505322.37742248572641
0.0236.25028391171713.33413169896722
0.0339.41038228322623.26136344094474
0.0441.87668370174122.51813090705727
0.0543.59070587507211.96536758266378
0.0644.82801344860341.68931047407956
0.0745.85095221286551.73117620692619
0.0846.86212807896692.07557498979539
0.0947.98442574672852.51810519253997
0.149.22991252767612.8194305636529
0.1150.52143012841442.86407752397183
0.1251.75957417498712.69884715783487
0.1352.88359462268082.46712995215796
0.1453.89291506614122.31281207980213
0.1554.83287424957032.31807219453595
0.1655.76605264792772.48785855220955
0.1756.74642948973832.76806480979554
0.1857.80327582332993.07583055744746
0.1958.93550172323653.32631519245862
0.260.11527369950493.45540212343717
0.2161.2988327329193.43637624465414
0.2262.44102936032273.28683411496909
0.2363.50880634089153.06055605635381
0.2464.48909425536672.82686611313607
0.2565.38890563365642.64436392147072
0.2666.2288114926142.54243576285991
0.2767.03354171356072.51656360065158
0.2867.82383941775542.53997493706312
0.2968.61210823432582.58067477631953
0.369.40213862259092.61405539003246
0.3170.19161159020812.62741954586757
0.3270.97567306047982.62020133198823
0.3371.75032718011772.60131402732537
0.3472.51505342706652.5867876843533
0.3573.27444215900332.59742288267486
0.3674.03869904688162.65403624927996
0.3774.82280473434012.77307965108801
0.3875.644179128722.95860443982638
0.3976.5190004530863.19841356905815
0.477.45780983498653.46247801743483
0.4178.46150900760613.70789214752500
0.4279.51908428590533.88790332468430
0.4380.6081510055353.96375502195603
0.4481.69866617053083.91664060291426
0.4582.75912164212753.75348199020615
0.4683.76362231652383.50770503641171
0.4784.69787344811013.23112414394844
0.4885.56241138696332.98323567031224
0.4986.37226775855832.81681830204998
0.587.15331333741782.76533832650144
0.5187.93641890538362.83554680249847
0.5288.75104498430823.00717520554416
0.5389.61984492694423.24249536646586
0.5490.55540977463423.49864068290501
0.5591.55959007201853.7368700955387
0.5692.62513700396313.92947285059741
0.5793.73890563775784.06297932569667
0.5894.88563813627064.13709974397942
0.5996.05136370702864.16295601681248
0.697.22563527434544.15754755812726
0.6198.40211989359034.13675412439747
0.6299.57747641279554.1090504863543
0.63100.7489959108194.07300579954933
0.64101.9120485126244.01678330491479
0.65103.0587111182373.92598558501673
0.66104.1787128762713.79261033796042
0.67105.2628825348323.62545590275358
0.68106.3079005699633.45308325874369
0.69107.3200634966453.31622715874928
0.7108.3157339775393.25147961740718
0.71109.3174780096723.27339839273052
0.72110.3470810298253.36430711344848
0.73111.4185596819543.48282681817889
0.74112.5347742771523.58445752860607
0.75113.6897501068803.64399870563459
0.76114.8758121553993.66881536161672
0.77116.0916001356113.69348797214475
0.78117.3458708956703.75734290427817
0.79118.6539887971183.87375164614255
0.8120.0285981108014.01598810468955
0.81121.4704725549374.13031124391418
0.82122.9665727799544.17332656633814
0.83124.4984667397334.14318096434077
0.84126.057492528864.08867736818336
0.85127.6577409662104.08714272553843
0.86129.3381782044894.19994910847862
0.87131.1524651612644.43462017980466
0.88133.1561852514564.75553569076808
0.89135.4075446955375.14438990900436
0.9137.9882876832395.65738439051434
0.91141.0257204222006.39073562652244
0.92144.6810082559897.33978844667073
0.93149.1186769814388.34829730039115
0.94154.6133387323709.49140198754911
0.95162.01278993604711.8760115881360
0.96173.18100410842417.0659140893032
0.97189.65869249224722.3191388592642
0.98209.89253086789420.2974929019069
0.99235.65854172074919.8048324908144



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')