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Description of Statistical Computation

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 computationSat, 25 Oct 2008 08:24:13 -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/2008/Oct/25/t1224944711cio1w6w65bnc3gi.htm/, Retrieved Sun, 19 May 2024 00:27:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18750, Retrieved Sun, 19 May 2024 00:27:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F    D    [Harrell-Davis Quantiles] [Harrell-Davis Qua...] [2008-10-25 14:24:13] [63db34dadd44fb018112addcdefe949f] [Current]
Feedback Forum
2008-10-31 15:11:07 [Matthieu Blondeau] [reply] 
Het is inderdaad niet duidelijk om te kunnen vaststellen waar de grenzen liggen voor de betrouwbaarheidsinterval. De getallen verspringen telkens met grote hoeveelheid.
2008-11-02 14:02:54 [Ciska Tanghe] [reply] 
Hier is het echt onduidelijk waar het betrouwbaarheidsinterval ligt. De waarden schommelen enorm en vertonen geen structuur.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101
104
99
105
107
111
117
119
127
128
135
132
136
143
142
153
145
138
148
152
169
169
161
174
179
191
190
182
175
181
197
194
197
216
221
218
230
227
204
197
199
208
191
202
211
224
224
231
244
235
250
266
288
283
295
312
334
348
383
407

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18750&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18750&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18750&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0199.6138754455542.12386192537218
0.015100.0876839265252.26735510471795
0.02100.6420965806302.44207735775364
0.025101.2546943178932.6365233428035
0.03101.9080699247472.84778558952072
0.035102.590934479173.08208567827276
0.04103.2977236257223.35051206035942
0.045104.0274098542853.66275066635661
0.05104.7820420484964.02286230310843
0.055105.565334600414.42797219395482
0.06106.3814726467814.86925878852378
0.065107.2341980245625.33390222564412
0.07108.1261817319045.80771960253319
0.075109.0586578794986.27636889937945
0.08110.0312793059956.72670793776669
0.085111.0421489446097.14770302176165
0.09112.0879800539147.53013612172901
0.095113.1643409307247.86766495733933
0.1114.2659447932258.1561060228875
0.105115.3869523370698.39314784466287
0.11116.5212621421258.57864816561535
0.115117.6627717781248.7138926666076
0.12118.8055994112518.80141392825124
0.125119.9442614800708.84484902415197
0.13121.0738063785508.8485369718055
0.135122.1899070702758.81736190751554
0.14123.2889173307598.7565264670719
0.145124.3678971264288.67173213277692
0.15125.4246127620338.56831036505567
0.155126.4575171124708.4518740891811
0.16127.4657147020068.32776055114953
0.165128.4489157492468.20101779994741
0.17129.4073826524708.07637458275096
0.175130.341871795987.95848592975432
0.18131.2535730317697.85087783771409
0.185132.1440487306997.75717252766875
0.19133.0151738929747.68042688896469
0.195133.8690784471377.6229849690964
0.2134.7080925407297.58686786531539
0.205135.5346953300427.57363429798503
0.21136.3514675116487.58454555472195
0.215137.1610476092827.62015980832237
0.22137.9660918427107.68081190881205
0.225138.7692372672727.76649531635093
0.23139.5730677887577.87703070101551
0.235140.3800826305498.01147409996635
0.24141.1926668568058.1691803996527
0.245142.0130636316498.34855352460847
0.25142.8433480107578.5479186241909
0.255143.6854022064728.76534518569613
0.26144.5408924266388.99877377418033
0.265145.4112475457729.24530091276262
0.27146.2976400104119.5021568000882
0.275147.2009694949749.76601635441803
0.28148.12184989928010.0338671474727
0.285149.06060030595510.3016835109887
0.29150.01724049081710.5662818426422
0.295150.99149150153110.8239027207543
0.3151.98278169259011.0710884365972
0.305152.99025843487011.3043111541609
0.31154.01280551563211.5204776589324
0.315155.04906602211111.7166184981313
0.32156.09747027253411.8905828020751
0.325157.15626813686112.0401958951508
0.33158.22356488956512.1639187258513
0.335159.29735957101112.2606202483880
0.34160.37558471280112.3298309166949
0.345161.45614621352512.3717894550720
0.35162.53696213915012.3868162034559
0.355163.61599926785112.3760570485356
0.36164.69130629996312.3409806241219
0.365165.76104280449712.2832296634625
0.37166.82350316582212.2049034264868
0.375167.87713501727412.1083452405325
0.38168.92055189056811.9957014186339
0.385169.95254005818911.8699037332446
0.39170.97205978787411.7325660666277
0.395171.97824145179511.5865551387894
0.4172.97037712774611.4337446394102
0.405173.94790848698211.2755807139709
0.41174.91041187704811.1139986526096
0.415175.85758157445110.9502544478758
0.42176.78921220020510.7850868061999
0.425177.70518126261510.6191527837512
0.43178.60543271994710.4530165050689
0.435179.48996234633910.2868315233045
0.44180.3588055448610.1204634002033
0.445181.2120280898829.95397036415837
0.45182.0497201058129.78734785198683
0.455182.8719934093419.62029895094706
0.46183.6789821660019.45295856690873
0.465184.4708466466329.28526669432974
0.47185.247779721679.11726278450257
0.475186.0100156062888.94965214905424
0.48186.7578402710768.78276904936093
0.485187.4916028635338.61746273378073
0.49188.2117274461498.45493191650625
0.495188.918724346998.29612005542846
0.5189.6132004370608.14272511927905
0.505190.2958676930367.9960005578142
0.51190.9675494711437.857973487494
0.515191.6291840044587.73020976538305
0.52192.2818247379237.61443771620312
0.525192.9266372287987.51259199361328
0.53193.5648924611037.42640344385299
0.535194.1979565469847.35728591293423
0.54194.8272769120397.30634247129422
0.545195.4543651821177.2751082811999
0.55196.0807771026537.26362837592468
0.555196.7080899255427.27276003640231
0.56197.3378777902077.30199382264173
0.565197.9716857028917.35102112598191
0.57198.6110027793777.4188745060195
0.575199.2572354600167.50415163115407
0.58199.9116814310267.60508067504106
0.585200.5755049920187.71973148062988
0.59201.2497145963997.84555861271233
0.595201.9351432590547.9799834313511
0.6202.6324324753298.12021564038449
0.605203.3420202280638.26341599950804
0.61204.0641335770558.40668522092868
0.615204.7987862299858.54721982387491
0.62205.5457813881058.68207781379768
0.625206.3047200467508.80871272105039
0.63207.0750148130978.92462955269164
0.635207.8559091847709.02788617976935
0.64208.6465021161489.11641004889462
0.645209.4457775876499.18904410325705
0.65210.2526387896539.24458602586798
0.655211.0659464395699.28279458045467
0.66211.8845606695279.30342281293134
0.665212.7073858546569.30704166631454
0.67213.5334176979629.29457738714176
0.675214.3617918471829.2676246544647
0.68215.191833289899.2285680160314
0.685216.0231057534759.17962991017436
0.69216.8554603229259.12414787445686
0.695217.6890824779809.06597264364452
0.7218.5245367377029.00918156174713
0.705219.3628080806388.95842422727505
0.71220.2053392784428.9188355941875
0.715221.0540632371408.8956536026098
0.72221.9114293816308.89468486895674
0.725222.7804230463328.9218951899393
0.73223.6645767519548.98328399628678
0.735224.5679721624969.08455937799488
0.74225.4952314398349.23159543960975
0.745226.4514966617239.4295210303385
0.75227.4423959644339.6832532942834
0.755228.4739951389239.99658173320387
0.76229.55273357903210.3725176672639
0.765230.68534378246210.8127998646904
0.77231.87875407091311.3180021310460
0.775233.13997485041111.8869823526485
0.78234.47596959404912.5177573468718
0.785235.89351279978013.2061405903553
0.79237.39903843863313.9464860318631
0.795238.99848382045514.7317009617409
0.8240.69713529082615.5528025808033
0.805242.49948362526316.3994577462716
0.81244.4090982618117.2600808005114
0.815246.42853043629918.1217245528528
0.82248.55925566112918.9711565069635
0.825250.80166561923919.7944776830615
0.83253.15511825078820.5785634860112
0.835255.61805246209221.3109128993613
0.84258.18817044184721.9811090266151
0.845260.86268610848522.580478822289
0.85263.63863297023723.1044293427593
0.855266.51321906717223.5517817147158
0.86269.48421126847423.9251254562556
0.865272.55032674714424.2318342112912
0.87275.71160674637724.4835818097476
0.875278.96974753559124.6953888465549
0.88282.32836626534124.8848972923746
0.885285.79318539870225.0708842325665
0.89289.37212805087925.2715636206506
0.895293.0753266853425.5026353176175
0.9296.91505716896225.7752022414965
0.905300.90561646441826.0951532128253
0.91305.06316213140926.4627716577421
0.915309.40552230571926.8728529060404
0.92313.95196355268827.3175062989171
0.925318.72286965114827.7871927213678
0.93323.73923684134928.2728453442727
0.935329.02183115068528.7662008867296
0.94334.58978244779429.2572725052679
0.945340.45831053666229.7290011766624
0.95346.63519873878530.1502125097187
0.955353.11557261846130.4677662765210
0.96359.8745598023730.6045803144459
0.965366.85760737443930.4682622393525
0.97373.96878652913629.9748004907064
0.975381.05853197112629.0874800465693
0.98387.91410246462827.8606682037707
0.985394.25850227341226.4653893022677
0.99399.76598607619825.1589926458432

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.613875445554 & 2.12386192537218 \tabularnewline
0.015 & 100.087683926525 & 2.26735510471795 \tabularnewline
0.02 & 100.642096580630 & 2.44207735775364 \tabularnewline
0.025 & 101.254694317893 & 2.6365233428035 \tabularnewline
0.03 & 101.908069924747 & 2.84778558952072 \tabularnewline
0.035 & 102.59093447917 & 3.08208567827276 \tabularnewline
0.04 & 103.297723625722 & 3.35051206035942 \tabularnewline
0.045 & 104.027409854285 & 3.66275066635661 \tabularnewline
0.05 & 104.782042048496 & 4.02286230310843 \tabularnewline
0.055 & 105.56533460041 & 4.42797219395482 \tabularnewline
0.06 & 106.381472646781 & 4.86925878852378 \tabularnewline
0.065 & 107.234198024562 & 5.33390222564412 \tabularnewline
0.07 & 108.126181731904 & 5.80771960253319 \tabularnewline
0.075 & 109.058657879498 & 6.27636889937945 \tabularnewline
0.08 & 110.031279305995 & 6.72670793776669 \tabularnewline
0.085 & 111.042148944609 & 7.14770302176165 \tabularnewline
0.09 & 112.087980053914 & 7.53013612172901 \tabularnewline
0.095 & 113.164340930724 & 7.86766495733933 \tabularnewline
0.1 & 114.265944793225 & 8.1561060228875 \tabularnewline
0.105 & 115.386952337069 & 8.39314784466287 \tabularnewline
0.11 & 116.521262142125 & 8.57864816561535 \tabularnewline
0.115 & 117.662771778124 & 8.7138926666076 \tabularnewline
0.12 & 118.805599411251 & 8.80141392825124 \tabularnewline
0.125 & 119.944261480070 & 8.84484902415197 \tabularnewline
0.13 & 121.073806378550 & 8.8485369718055 \tabularnewline
0.135 & 122.189907070275 & 8.81736190751554 \tabularnewline
0.14 & 123.288917330759 & 8.7565264670719 \tabularnewline
0.145 & 124.367897126428 & 8.67173213277692 \tabularnewline
0.15 & 125.424612762033 & 8.56831036505567 \tabularnewline
0.155 & 126.457517112470 & 8.4518740891811 \tabularnewline
0.16 & 127.465714702006 & 8.32776055114953 \tabularnewline
0.165 & 128.448915749246 & 8.20101779994741 \tabularnewline
0.17 & 129.407382652470 & 8.07637458275096 \tabularnewline
0.175 & 130.34187179598 & 7.95848592975432 \tabularnewline
0.18 & 131.253573031769 & 7.85087783771409 \tabularnewline
0.185 & 132.144048730699 & 7.75717252766875 \tabularnewline
0.19 & 133.015173892974 & 7.68042688896469 \tabularnewline
0.195 & 133.869078447137 & 7.6229849690964 \tabularnewline
0.2 & 134.708092540729 & 7.58686786531539 \tabularnewline
0.205 & 135.534695330042 & 7.57363429798503 \tabularnewline
0.21 & 136.351467511648 & 7.58454555472195 \tabularnewline
0.215 & 137.161047609282 & 7.62015980832237 \tabularnewline
0.22 & 137.966091842710 & 7.68081190881205 \tabularnewline
0.225 & 138.769237267272 & 7.76649531635093 \tabularnewline
0.23 & 139.573067788757 & 7.87703070101551 \tabularnewline
0.235 & 140.380082630549 & 8.01147409996635 \tabularnewline
0.24 & 141.192666856805 & 8.1691803996527 \tabularnewline
0.245 & 142.013063631649 & 8.34855352460847 \tabularnewline
0.25 & 142.843348010757 & 8.5479186241909 \tabularnewline
0.255 & 143.685402206472 & 8.76534518569613 \tabularnewline
0.26 & 144.540892426638 & 8.99877377418033 \tabularnewline
0.265 & 145.411247545772 & 9.24530091276262 \tabularnewline
0.27 & 146.297640010411 & 9.5021568000882 \tabularnewline
0.275 & 147.200969494974 & 9.76601635441803 \tabularnewline
0.28 & 148.121849899280 & 10.0338671474727 \tabularnewline
0.285 & 149.060600305955 & 10.3016835109887 \tabularnewline
0.29 & 150.017240490817 & 10.5662818426422 \tabularnewline
0.295 & 150.991491501531 & 10.8239027207543 \tabularnewline
0.3 & 151.982781692590 & 11.0710884365972 \tabularnewline
0.305 & 152.990258434870 & 11.3043111541609 \tabularnewline
0.31 & 154.012805515632 & 11.5204776589324 \tabularnewline
0.315 & 155.049066022111 & 11.7166184981313 \tabularnewline
0.32 & 156.097470272534 & 11.8905828020751 \tabularnewline
0.325 & 157.156268136861 & 12.0401958951508 \tabularnewline
0.33 & 158.223564889565 & 12.1639187258513 \tabularnewline
0.335 & 159.297359571011 & 12.2606202483880 \tabularnewline
0.34 & 160.375584712801 & 12.3298309166949 \tabularnewline
0.345 & 161.456146213525 & 12.3717894550720 \tabularnewline
0.35 & 162.536962139150 & 12.3868162034559 \tabularnewline
0.355 & 163.615999267851 & 12.3760570485356 \tabularnewline
0.36 & 164.691306299963 & 12.3409806241219 \tabularnewline
0.365 & 165.761042804497 & 12.2832296634625 \tabularnewline
0.37 & 166.823503165822 & 12.2049034264868 \tabularnewline
0.375 & 167.877135017274 & 12.1083452405325 \tabularnewline
0.38 & 168.920551890568 & 11.9957014186339 \tabularnewline
0.385 & 169.952540058189 & 11.8699037332446 \tabularnewline
0.39 & 170.972059787874 & 11.7325660666277 \tabularnewline
0.395 & 171.978241451795 & 11.5865551387894 \tabularnewline
0.4 & 172.970377127746 & 11.4337446394102 \tabularnewline
0.405 & 173.947908486982 & 11.2755807139709 \tabularnewline
0.41 & 174.910411877048 & 11.1139986526096 \tabularnewline
0.415 & 175.857581574451 & 10.9502544478758 \tabularnewline
0.42 & 176.789212200205 & 10.7850868061999 \tabularnewline
0.425 & 177.705181262615 & 10.6191527837512 \tabularnewline
0.43 & 178.605432719947 & 10.4530165050689 \tabularnewline
0.435 & 179.489962346339 & 10.2868315233045 \tabularnewline
0.44 & 180.35880554486 & 10.1204634002033 \tabularnewline
0.445 & 181.212028089882 & 9.95397036415837 \tabularnewline
0.45 & 182.049720105812 & 9.78734785198683 \tabularnewline
0.455 & 182.871993409341 & 9.62029895094706 \tabularnewline
0.46 & 183.678982166001 & 9.45295856690873 \tabularnewline
0.465 & 184.470846646632 & 9.28526669432974 \tabularnewline
0.47 & 185.24777972167 & 9.11726278450257 \tabularnewline
0.475 & 186.010015606288 & 8.94965214905424 \tabularnewline
0.48 & 186.757840271076 & 8.78276904936093 \tabularnewline
0.485 & 187.491602863533 & 8.61746273378073 \tabularnewline
0.49 & 188.211727446149 & 8.45493191650625 \tabularnewline
0.495 & 188.91872434699 & 8.29612005542846 \tabularnewline
0.5 & 189.613200437060 & 8.14272511927905 \tabularnewline
0.505 & 190.295867693036 & 7.9960005578142 \tabularnewline
0.51 & 190.967549471143 & 7.857973487494 \tabularnewline
0.515 & 191.629184004458 & 7.73020976538305 \tabularnewline
0.52 & 192.281824737923 & 7.61443771620312 \tabularnewline
0.525 & 192.926637228798 & 7.51259199361328 \tabularnewline
0.53 & 193.564892461103 & 7.42640344385299 \tabularnewline
0.535 & 194.197956546984 & 7.35728591293423 \tabularnewline
0.54 & 194.827276912039 & 7.30634247129422 \tabularnewline
0.545 & 195.454365182117 & 7.2751082811999 \tabularnewline
0.55 & 196.080777102653 & 7.26362837592468 \tabularnewline
0.555 & 196.708089925542 & 7.27276003640231 \tabularnewline
0.56 & 197.337877790207 & 7.30199382264173 \tabularnewline
0.565 & 197.971685702891 & 7.35102112598191 \tabularnewline
0.57 & 198.611002779377 & 7.4188745060195 \tabularnewline
0.575 & 199.257235460016 & 7.50415163115407 \tabularnewline
0.58 & 199.911681431026 & 7.60508067504106 \tabularnewline
0.585 & 200.575504992018 & 7.71973148062988 \tabularnewline
0.59 & 201.249714596399 & 7.84555861271233 \tabularnewline
0.595 & 201.935143259054 & 7.9799834313511 \tabularnewline
0.6 & 202.632432475329 & 8.12021564038449 \tabularnewline
0.605 & 203.342020228063 & 8.26341599950804 \tabularnewline
0.61 & 204.064133577055 & 8.40668522092868 \tabularnewline
0.615 & 204.798786229985 & 8.54721982387491 \tabularnewline
0.62 & 205.545781388105 & 8.68207781379768 \tabularnewline
0.625 & 206.304720046750 & 8.80871272105039 \tabularnewline
0.63 & 207.075014813097 & 8.92462955269164 \tabularnewline
0.635 & 207.855909184770 & 9.02788617976935 \tabularnewline
0.64 & 208.646502116148 & 9.11641004889462 \tabularnewline
0.645 & 209.445777587649 & 9.18904410325705 \tabularnewline
0.65 & 210.252638789653 & 9.24458602586798 \tabularnewline
0.655 & 211.065946439569 & 9.28279458045467 \tabularnewline
0.66 & 211.884560669527 & 9.30342281293134 \tabularnewline
0.665 & 212.707385854656 & 9.30704166631454 \tabularnewline
0.67 & 213.533417697962 & 9.29457738714176 \tabularnewline
0.675 & 214.361791847182 & 9.2676246544647 \tabularnewline
0.68 & 215.19183328989 & 9.2285680160314 \tabularnewline
0.685 & 216.023105753475 & 9.17962991017436 \tabularnewline
0.69 & 216.855460322925 & 9.12414787445686 \tabularnewline
0.695 & 217.689082477980 & 9.06597264364452 \tabularnewline
0.7 & 218.524536737702 & 9.00918156174713 \tabularnewline
0.705 & 219.362808080638 & 8.95842422727505 \tabularnewline
0.71 & 220.205339278442 & 8.9188355941875 \tabularnewline
0.715 & 221.054063237140 & 8.8956536026098 \tabularnewline
0.72 & 221.911429381630 & 8.89468486895674 \tabularnewline
0.725 & 222.780423046332 & 8.9218951899393 \tabularnewline
0.73 & 223.664576751954 & 8.98328399628678 \tabularnewline
0.735 & 224.567972162496 & 9.08455937799488 \tabularnewline
0.74 & 225.495231439834 & 9.23159543960975 \tabularnewline
0.745 & 226.451496661723 & 9.4295210303385 \tabularnewline
0.75 & 227.442395964433 & 9.6832532942834 \tabularnewline
0.755 & 228.473995138923 & 9.99658173320387 \tabularnewline
0.76 & 229.552733579032 & 10.3725176672639 \tabularnewline
0.765 & 230.685343782462 & 10.8127998646904 \tabularnewline
0.77 & 231.878754070913 & 11.3180021310460 \tabularnewline
0.775 & 233.139974850411 & 11.8869823526485 \tabularnewline
0.78 & 234.475969594049 & 12.5177573468718 \tabularnewline
0.785 & 235.893512799780 & 13.2061405903553 \tabularnewline
0.79 & 237.399038438633 & 13.9464860318631 \tabularnewline
0.795 & 238.998483820455 & 14.7317009617409 \tabularnewline
0.8 & 240.697135290826 & 15.5528025808033 \tabularnewline
0.805 & 242.499483625263 & 16.3994577462716 \tabularnewline
0.81 & 244.40909826181 & 17.2600808005114 \tabularnewline
0.815 & 246.428530436299 & 18.1217245528528 \tabularnewline
0.82 & 248.559255661129 & 18.9711565069635 \tabularnewline
0.825 & 250.801665619239 & 19.7944776830615 \tabularnewline
0.83 & 253.155118250788 & 20.5785634860112 \tabularnewline
0.835 & 255.618052462092 & 21.3109128993613 \tabularnewline
0.84 & 258.188170441847 & 21.9811090266151 \tabularnewline
0.845 & 260.862686108485 & 22.580478822289 \tabularnewline
0.85 & 263.638632970237 & 23.1044293427593 \tabularnewline
0.855 & 266.513219067172 & 23.5517817147158 \tabularnewline
0.86 & 269.484211268474 & 23.9251254562556 \tabularnewline
0.865 & 272.550326747144 & 24.2318342112912 \tabularnewline
0.87 & 275.711606746377 & 24.4835818097476 \tabularnewline
0.875 & 278.969747535591 & 24.6953888465549 \tabularnewline
0.88 & 282.328366265341 & 24.8848972923746 \tabularnewline
0.885 & 285.793185398702 & 25.0708842325665 \tabularnewline
0.89 & 289.372128050879 & 25.2715636206506 \tabularnewline
0.895 & 293.07532668534 & 25.5026353176175 \tabularnewline
0.9 & 296.915057168962 & 25.7752022414965 \tabularnewline
0.905 & 300.905616464418 & 26.0951532128253 \tabularnewline
0.91 & 305.063162131409 & 26.4627716577421 \tabularnewline
0.915 & 309.405522305719 & 26.8728529060404 \tabularnewline
0.92 & 313.951963552688 & 27.3175062989171 \tabularnewline
0.925 & 318.722869651148 & 27.7871927213678 \tabularnewline
0.93 & 323.739236841349 & 28.2728453442727 \tabularnewline
0.935 & 329.021831150685 & 28.7662008867296 \tabularnewline
0.94 & 334.589782447794 & 29.2572725052679 \tabularnewline
0.945 & 340.458310536662 & 29.7290011766624 \tabularnewline
0.95 & 346.635198738785 & 30.1502125097187 \tabularnewline
0.955 & 353.115572618461 & 30.4677662765210 \tabularnewline
0.96 & 359.87455980237 & 30.6045803144459 \tabularnewline
0.965 & 366.857607374439 & 30.4682622393525 \tabularnewline
0.97 & 373.968786529136 & 29.9748004907064 \tabularnewline
0.975 & 381.058531971126 & 29.0874800465693 \tabularnewline
0.98 & 387.914102464628 & 27.8606682037707 \tabularnewline
0.985 & 394.258502273412 & 26.4653893022677 \tabularnewline
0.99 & 399.765986076198 & 25.1589926458432 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18750&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]99.613875445554[/C][C]2.12386192537218[/C][/ROW]
[ROW][C]0.015[/C][C]100.087683926525[/C][C]2.26735510471795[/C][/ROW]
[ROW][C]0.02[/C][C]100.642096580630[/C][C]2.44207735775364[/C][/ROW]
[ROW][C]0.025[/C][C]101.254694317893[/C][C]2.6365233428035[/C][/ROW]
[ROW][C]0.03[/C][C]101.908069924747[/C][C]2.84778558952072[/C][/ROW]
[ROW][C]0.035[/C][C]102.59093447917[/C][C]3.08208567827276[/C][/ROW]
[ROW][C]0.04[/C][C]103.297723625722[/C][C]3.35051206035942[/C][/ROW]
[ROW][C]0.045[/C][C]104.027409854285[/C][C]3.66275066635661[/C][/ROW]
[ROW][C]0.05[/C][C]104.782042048496[/C][C]4.02286230310843[/C][/ROW]
[ROW][C]0.055[/C][C]105.56533460041[/C][C]4.42797219395482[/C][/ROW]
[ROW][C]0.06[/C][C]106.381472646781[/C][C]4.86925878852378[/C][/ROW]
[ROW][C]0.065[/C][C]107.234198024562[/C][C]5.33390222564412[/C][/ROW]
[ROW][C]0.07[/C][C]108.126181731904[/C][C]5.80771960253319[/C][/ROW]
[ROW][C]0.075[/C][C]109.058657879498[/C][C]6.27636889937945[/C][/ROW]
[ROW][C]0.08[/C][C]110.031279305995[/C][C]6.72670793776669[/C][/ROW]
[ROW][C]0.085[/C][C]111.042148944609[/C][C]7.14770302176165[/C][/ROW]
[ROW][C]0.09[/C][C]112.087980053914[/C][C]7.53013612172901[/C][/ROW]
[ROW][C]0.095[/C][C]113.164340930724[/C][C]7.86766495733933[/C][/ROW]
[ROW][C]0.1[/C][C]114.265944793225[/C][C]8.1561060228875[/C][/ROW]
[ROW][C]0.105[/C][C]115.386952337069[/C][C]8.39314784466287[/C][/ROW]
[ROW][C]0.11[/C][C]116.521262142125[/C][C]8.57864816561535[/C][/ROW]
[ROW][C]0.115[/C][C]117.662771778124[/C][C]8.7138926666076[/C][/ROW]
[ROW][C]0.12[/C][C]118.805599411251[/C][C]8.80141392825124[/C][/ROW]
[ROW][C]0.125[/C][C]119.944261480070[/C][C]8.84484902415197[/C][/ROW]
[ROW][C]0.13[/C][C]121.073806378550[/C][C]8.8485369718055[/C][/ROW]
[ROW][C]0.135[/C][C]122.189907070275[/C][C]8.81736190751554[/C][/ROW]
[ROW][C]0.14[/C][C]123.288917330759[/C][C]8.7565264670719[/C][/ROW]
[ROW][C]0.145[/C][C]124.367897126428[/C][C]8.67173213277692[/C][/ROW]
[ROW][C]0.15[/C][C]125.424612762033[/C][C]8.56831036505567[/C][/ROW]
[ROW][C]0.155[/C][C]126.457517112470[/C][C]8.4518740891811[/C][/ROW]
[ROW][C]0.16[/C][C]127.465714702006[/C][C]8.32776055114953[/C][/ROW]
[ROW][C]0.165[/C][C]128.448915749246[/C][C]8.20101779994741[/C][/ROW]
[ROW][C]0.17[/C][C]129.407382652470[/C][C]8.07637458275096[/C][/ROW]
[ROW][C]0.175[/C][C]130.34187179598[/C][C]7.95848592975432[/C][/ROW]
[ROW][C]0.18[/C][C]131.253573031769[/C][C]7.85087783771409[/C][/ROW]
[ROW][C]0.185[/C][C]132.144048730699[/C][C]7.75717252766875[/C][/ROW]
[ROW][C]0.19[/C][C]133.015173892974[/C][C]7.68042688896469[/C][/ROW]
[ROW][C]0.195[/C][C]133.869078447137[/C][C]7.6229849690964[/C][/ROW]
[ROW][C]0.2[/C][C]134.708092540729[/C][C]7.58686786531539[/C][/ROW]
[ROW][C]0.205[/C][C]135.534695330042[/C][C]7.57363429798503[/C][/ROW]
[ROW][C]0.21[/C][C]136.351467511648[/C][C]7.58454555472195[/C][/ROW]
[ROW][C]0.215[/C][C]137.161047609282[/C][C]7.62015980832237[/C][/ROW]
[ROW][C]0.22[/C][C]137.966091842710[/C][C]7.68081190881205[/C][/ROW]
[ROW][C]0.225[/C][C]138.769237267272[/C][C]7.76649531635093[/C][/ROW]
[ROW][C]0.23[/C][C]139.573067788757[/C][C]7.87703070101551[/C][/ROW]
[ROW][C]0.235[/C][C]140.380082630549[/C][C]8.01147409996635[/C][/ROW]
[ROW][C]0.24[/C][C]141.192666856805[/C][C]8.1691803996527[/C][/ROW]
[ROW][C]0.245[/C][C]142.013063631649[/C][C]8.34855352460847[/C][/ROW]
[ROW][C]0.25[/C][C]142.843348010757[/C][C]8.5479186241909[/C][/ROW]
[ROW][C]0.255[/C][C]143.685402206472[/C][C]8.76534518569613[/C][/ROW]
[ROW][C]0.26[/C][C]144.540892426638[/C][C]8.99877377418033[/C][/ROW]
[ROW][C]0.265[/C][C]145.411247545772[/C][C]9.24530091276262[/C][/ROW]
[ROW][C]0.27[/C][C]146.297640010411[/C][C]9.5021568000882[/C][/ROW]
[ROW][C]0.275[/C][C]147.200969494974[/C][C]9.76601635441803[/C][/ROW]
[ROW][C]0.28[/C][C]148.121849899280[/C][C]10.0338671474727[/C][/ROW]
[ROW][C]0.285[/C][C]149.060600305955[/C][C]10.3016835109887[/C][/ROW]
[ROW][C]0.29[/C][C]150.017240490817[/C][C]10.5662818426422[/C][/ROW]
[ROW][C]0.295[/C][C]150.991491501531[/C][C]10.8239027207543[/C][/ROW]
[ROW][C]0.3[/C][C]151.982781692590[/C][C]11.0710884365972[/C][/ROW]
[ROW][C]0.305[/C][C]152.990258434870[/C][C]11.3043111541609[/C][/ROW]
[ROW][C]0.31[/C][C]154.012805515632[/C][C]11.5204776589324[/C][/ROW]
[ROW][C]0.315[/C][C]155.049066022111[/C][C]11.7166184981313[/C][/ROW]
[ROW][C]0.32[/C][C]156.097470272534[/C][C]11.8905828020751[/C][/ROW]
[ROW][C]0.325[/C][C]157.156268136861[/C][C]12.0401958951508[/C][/ROW]
[ROW][C]0.33[/C][C]158.223564889565[/C][C]12.1639187258513[/C][/ROW]
[ROW][C]0.335[/C][C]159.297359571011[/C][C]12.2606202483880[/C][/ROW]
[ROW][C]0.34[/C][C]160.375584712801[/C][C]12.3298309166949[/C][/ROW]
[ROW][C]0.345[/C][C]161.456146213525[/C][C]12.3717894550720[/C][/ROW]
[ROW][C]0.35[/C][C]162.536962139150[/C][C]12.3868162034559[/C][/ROW]
[ROW][C]0.355[/C][C]163.615999267851[/C][C]12.3760570485356[/C][/ROW]
[ROW][C]0.36[/C][C]164.691306299963[/C][C]12.3409806241219[/C][/ROW]
[ROW][C]0.365[/C][C]165.761042804497[/C][C]12.2832296634625[/C][/ROW]
[ROW][C]0.37[/C][C]166.823503165822[/C][C]12.2049034264868[/C][/ROW]
[ROW][C]0.375[/C][C]167.877135017274[/C][C]12.1083452405325[/C][/ROW]
[ROW][C]0.38[/C][C]168.920551890568[/C][C]11.9957014186339[/C][/ROW]
[ROW][C]0.385[/C][C]169.952540058189[/C][C]11.8699037332446[/C][/ROW]
[ROW][C]0.39[/C][C]170.972059787874[/C][C]11.7325660666277[/C][/ROW]
[ROW][C]0.395[/C][C]171.978241451795[/C][C]11.5865551387894[/C][/ROW]
[ROW][C]0.4[/C][C]172.970377127746[/C][C]11.4337446394102[/C][/ROW]
[ROW][C]0.405[/C][C]173.947908486982[/C][C]11.2755807139709[/C][/ROW]
[ROW][C]0.41[/C][C]174.910411877048[/C][C]11.1139986526096[/C][/ROW]
[ROW][C]0.415[/C][C]175.857581574451[/C][C]10.9502544478758[/C][/ROW]
[ROW][C]0.42[/C][C]176.789212200205[/C][C]10.7850868061999[/C][/ROW]
[ROW][C]0.425[/C][C]177.705181262615[/C][C]10.6191527837512[/C][/ROW]
[ROW][C]0.43[/C][C]178.605432719947[/C][C]10.4530165050689[/C][/ROW]
[ROW][C]0.435[/C][C]179.489962346339[/C][C]10.2868315233045[/C][/ROW]
[ROW][C]0.44[/C][C]180.35880554486[/C][C]10.1204634002033[/C][/ROW]
[ROW][C]0.445[/C][C]181.212028089882[/C][C]9.95397036415837[/C][/ROW]
[ROW][C]0.45[/C][C]182.049720105812[/C][C]9.78734785198683[/C][/ROW]
[ROW][C]0.455[/C][C]182.871993409341[/C][C]9.62029895094706[/C][/ROW]
[ROW][C]0.46[/C][C]183.678982166001[/C][C]9.45295856690873[/C][/ROW]
[ROW][C]0.465[/C][C]184.470846646632[/C][C]9.28526669432974[/C][/ROW]
[ROW][C]0.47[/C][C]185.24777972167[/C][C]9.11726278450257[/C][/ROW]
[ROW][C]0.475[/C][C]186.010015606288[/C][C]8.94965214905424[/C][/ROW]
[ROW][C]0.48[/C][C]186.757840271076[/C][C]8.78276904936093[/C][/ROW]
[ROW][C]0.485[/C][C]187.491602863533[/C][C]8.61746273378073[/C][/ROW]
[ROW][C]0.49[/C][C]188.211727446149[/C][C]8.45493191650625[/C][/ROW]
[ROW][C]0.495[/C][C]188.91872434699[/C][C]8.29612005542846[/C][/ROW]
[ROW][C]0.5[/C][C]189.613200437060[/C][C]8.14272511927905[/C][/ROW]
[ROW][C]0.505[/C][C]190.295867693036[/C][C]7.9960005578142[/C][/ROW]
[ROW][C]0.51[/C][C]190.967549471143[/C][C]7.857973487494[/C][/ROW]
[ROW][C]0.515[/C][C]191.629184004458[/C][C]7.73020976538305[/C][/ROW]
[ROW][C]0.52[/C][C]192.281824737923[/C][C]7.61443771620312[/C][/ROW]
[ROW][C]0.525[/C][C]192.926637228798[/C][C]7.51259199361328[/C][/ROW]
[ROW][C]0.53[/C][C]193.564892461103[/C][C]7.42640344385299[/C][/ROW]
[ROW][C]0.535[/C][C]194.197956546984[/C][C]7.35728591293423[/C][/ROW]
[ROW][C]0.54[/C][C]194.827276912039[/C][C]7.30634247129422[/C][/ROW]
[ROW][C]0.545[/C][C]195.454365182117[/C][C]7.2751082811999[/C][/ROW]
[ROW][C]0.55[/C][C]196.080777102653[/C][C]7.26362837592468[/C][/ROW]
[ROW][C]0.555[/C][C]196.708089925542[/C][C]7.27276003640231[/C][/ROW]
[ROW][C]0.56[/C][C]197.337877790207[/C][C]7.30199382264173[/C][/ROW]
[ROW][C]0.565[/C][C]197.971685702891[/C][C]7.35102112598191[/C][/ROW]
[ROW][C]0.57[/C][C]198.611002779377[/C][C]7.4188745060195[/C][/ROW]
[ROW][C]0.575[/C][C]199.257235460016[/C][C]7.50415163115407[/C][/ROW]
[ROW][C]0.58[/C][C]199.911681431026[/C][C]7.60508067504106[/C][/ROW]
[ROW][C]0.585[/C][C]200.575504992018[/C][C]7.71973148062988[/C][/ROW]
[ROW][C]0.59[/C][C]201.249714596399[/C][C]7.84555861271233[/C][/ROW]
[ROW][C]0.595[/C][C]201.935143259054[/C][C]7.9799834313511[/C][/ROW]
[ROW][C]0.6[/C][C]202.632432475329[/C][C]8.12021564038449[/C][/ROW]
[ROW][C]0.605[/C][C]203.342020228063[/C][C]8.26341599950804[/C][/ROW]
[ROW][C]0.61[/C][C]204.064133577055[/C][C]8.40668522092868[/C][/ROW]
[ROW][C]0.615[/C][C]204.798786229985[/C][C]8.54721982387491[/C][/ROW]
[ROW][C]0.62[/C][C]205.545781388105[/C][C]8.68207781379768[/C][/ROW]
[ROW][C]0.625[/C][C]206.304720046750[/C][C]8.80871272105039[/C][/ROW]
[ROW][C]0.63[/C][C]207.075014813097[/C][C]8.92462955269164[/C][/ROW]
[ROW][C]0.635[/C][C]207.855909184770[/C][C]9.02788617976935[/C][/ROW]
[ROW][C]0.64[/C][C]208.646502116148[/C][C]9.11641004889462[/C][/ROW]
[ROW][C]0.645[/C][C]209.445777587649[/C][C]9.18904410325705[/C][/ROW]
[ROW][C]0.65[/C][C]210.252638789653[/C][C]9.24458602586798[/C][/ROW]
[ROW][C]0.655[/C][C]211.065946439569[/C][C]9.28279458045467[/C][/ROW]
[ROW][C]0.66[/C][C]211.884560669527[/C][C]9.30342281293134[/C][/ROW]
[ROW][C]0.665[/C][C]212.707385854656[/C][C]9.30704166631454[/C][/ROW]
[ROW][C]0.67[/C][C]213.533417697962[/C][C]9.29457738714176[/C][/ROW]
[ROW][C]0.675[/C][C]214.361791847182[/C][C]9.2676246544647[/C][/ROW]
[ROW][C]0.68[/C][C]215.19183328989[/C][C]9.2285680160314[/C][/ROW]
[ROW][C]0.685[/C][C]216.023105753475[/C][C]9.17962991017436[/C][/ROW]
[ROW][C]0.69[/C][C]216.855460322925[/C][C]9.12414787445686[/C][/ROW]
[ROW][C]0.695[/C][C]217.689082477980[/C][C]9.06597264364452[/C][/ROW]
[ROW][C]0.7[/C][C]218.524536737702[/C][C]9.00918156174713[/C][/ROW]
[ROW][C]0.705[/C][C]219.362808080638[/C][C]8.95842422727505[/C][/ROW]
[ROW][C]0.71[/C][C]220.205339278442[/C][C]8.9188355941875[/C][/ROW]
[ROW][C]0.715[/C][C]221.054063237140[/C][C]8.8956536026098[/C][/ROW]
[ROW][C]0.72[/C][C]221.911429381630[/C][C]8.89468486895674[/C][/ROW]
[ROW][C]0.725[/C][C]222.780423046332[/C][C]8.9218951899393[/C][/ROW]
[ROW][C]0.73[/C][C]223.664576751954[/C][C]8.98328399628678[/C][/ROW]
[ROW][C]0.735[/C][C]224.567972162496[/C][C]9.08455937799488[/C][/ROW]
[ROW][C]0.74[/C][C]225.495231439834[/C][C]9.23159543960975[/C][/ROW]
[ROW][C]0.745[/C][C]226.451496661723[/C][C]9.4295210303385[/C][/ROW]
[ROW][C]0.75[/C][C]227.442395964433[/C][C]9.6832532942834[/C][/ROW]
[ROW][C]0.755[/C][C]228.473995138923[/C][C]9.99658173320387[/C][/ROW]
[ROW][C]0.76[/C][C]229.552733579032[/C][C]10.3725176672639[/C][/ROW]
[ROW][C]0.765[/C][C]230.685343782462[/C][C]10.8127998646904[/C][/ROW]
[ROW][C]0.77[/C][C]231.878754070913[/C][C]11.3180021310460[/C][/ROW]
[ROW][C]0.775[/C][C]233.139974850411[/C][C]11.8869823526485[/C][/ROW]
[ROW][C]0.78[/C][C]234.475969594049[/C][C]12.5177573468718[/C][/ROW]
[ROW][C]0.785[/C][C]235.893512799780[/C][C]13.2061405903553[/C][/ROW]
[ROW][C]0.79[/C][C]237.399038438633[/C][C]13.9464860318631[/C][/ROW]
[ROW][C]0.795[/C][C]238.998483820455[/C][C]14.7317009617409[/C][/ROW]
[ROW][C]0.8[/C][C]240.697135290826[/C][C]15.5528025808033[/C][/ROW]
[ROW][C]0.805[/C][C]242.499483625263[/C][C]16.3994577462716[/C][/ROW]
[ROW][C]0.81[/C][C]244.40909826181[/C][C]17.2600808005114[/C][/ROW]
[ROW][C]0.815[/C][C]246.428530436299[/C][C]18.1217245528528[/C][/ROW]
[ROW][C]0.82[/C][C]248.559255661129[/C][C]18.9711565069635[/C][/ROW]
[ROW][C]0.825[/C][C]250.801665619239[/C][C]19.7944776830615[/C][/ROW]
[ROW][C]0.83[/C][C]253.155118250788[/C][C]20.5785634860112[/C][/ROW]
[ROW][C]0.835[/C][C]255.618052462092[/C][C]21.3109128993613[/C][/ROW]
[ROW][C]0.84[/C][C]258.188170441847[/C][C]21.9811090266151[/C][/ROW]
[ROW][C]0.845[/C][C]260.862686108485[/C][C]22.580478822289[/C][/ROW]
[ROW][C]0.85[/C][C]263.638632970237[/C][C]23.1044293427593[/C][/ROW]
[ROW][C]0.855[/C][C]266.513219067172[/C][C]23.5517817147158[/C][/ROW]
[ROW][C]0.86[/C][C]269.484211268474[/C][C]23.9251254562556[/C][/ROW]
[ROW][C]0.865[/C][C]272.550326747144[/C][C]24.2318342112912[/C][/ROW]
[ROW][C]0.87[/C][C]275.711606746377[/C][C]24.4835818097476[/C][/ROW]
[ROW][C]0.875[/C][C]278.969747535591[/C][C]24.6953888465549[/C][/ROW]
[ROW][C]0.88[/C][C]282.328366265341[/C][C]24.8848972923746[/C][/ROW]
[ROW][C]0.885[/C][C]285.793185398702[/C][C]25.0708842325665[/C][/ROW]
[ROW][C]0.89[/C][C]289.372128050879[/C][C]25.2715636206506[/C][/ROW]
[ROW][C]0.895[/C][C]293.07532668534[/C][C]25.5026353176175[/C][/ROW]
[ROW][C]0.9[/C][C]296.915057168962[/C][C]25.7752022414965[/C][/ROW]
[ROW][C]0.905[/C][C]300.905616464418[/C][C]26.0951532128253[/C][/ROW]
[ROW][C]0.91[/C][C]305.063162131409[/C][C]26.4627716577421[/C][/ROW]
[ROW][C]0.915[/C][C]309.405522305719[/C][C]26.8728529060404[/C][/ROW]
[ROW][C]0.92[/C][C]313.951963552688[/C][C]27.3175062989171[/C][/ROW]
[ROW][C]0.925[/C][C]318.722869651148[/C][C]27.7871927213678[/C][/ROW]
[ROW][C]0.93[/C][C]323.739236841349[/C][C]28.2728453442727[/C][/ROW]
[ROW][C]0.935[/C][C]329.021831150685[/C][C]28.7662008867296[/C][/ROW]
[ROW][C]0.94[/C][C]334.589782447794[/C][C]29.2572725052679[/C][/ROW]
[ROW][C]0.945[/C][C]340.458310536662[/C][C]29.7290011766624[/C][/ROW]
[ROW][C]0.95[/C][C]346.635198738785[/C][C]30.1502125097187[/C][/ROW]
[ROW][C]0.955[/C][C]353.115572618461[/C][C]30.4677662765210[/C][/ROW]
[ROW][C]0.96[/C][C]359.87455980237[/C][C]30.6045803144459[/C][/ROW]
[ROW][C]0.965[/C][C]366.857607374439[/C][C]30.4682622393525[/C][/ROW]
[ROW][C]0.97[/C][C]373.968786529136[/C][C]29.9748004907064[/C][/ROW]
[ROW][C]0.975[/C][C]381.058531971126[/C][C]29.0874800465693[/C][/ROW]
[ROW][C]0.98[/C][C]387.914102464628[/C][C]27.8606682037707[/C][/ROW]
[ROW][C]0.985[/C][C]394.258502273412[/C][C]26.4653893022677[/C][/ROW]
[ROW][C]0.99[/C][C]399.765986076198[/C][C]25.1589926458432[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18750&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18750&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
0.0199.6138754455542.12386192537218
0.015100.0876839265252.26735510471795
0.02100.6420965806302.44207735775364
0.025101.2546943178932.6365233428035
0.03101.9080699247472.84778558952072
0.035102.590934479173.08208567827276
0.04103.2977236257223.35051206035942
0.045104.0274098542853.66275066635661
0.05104.7820420484964.02286230310843
0.055105.565334600414.42797219395482
0.06106.3814726467814.86925878852378
0.065107.2341980245625.33390222564412
0.07108.1261817319045.80771960253319
0.075109.0586578794986.27636889937945
0.08110.0312793059956.72670793776669
0.085111.0421489446097.14770302176165
0.09112.0879800539147.53013612172901
0.095113.1643409307247.86766495733933
0.1114.2659447932258.1561060228875
0.105115.3869523370698.39314784466287
0.11116.5212621421258.57864816561535
0.115117.6627717781248.7138926666076
0.12118.8055994112518.80141392825124
0.125119.9442614800708.84484902415197
0.13121.0738063785508.8485369718055
0.135122.1899070702758.81736190751554
0.14123.2889173307598.7565264670719
0.145124.3678971264288.67173213277692
0.15125.4246127620338.56831036505567
0.155126.4575171124708.4518740891811
0.16127.4657147020068.32776055114953
0.165128.4489157492468.20101779994741
0.17129.4073826524708.07637458275096
0.175130.341871795987.95848592975432
0.18131.2535730317697.85087783771409
0.185132.1440487306997.75717252766875
0.19133.0151738929747.68042688896469
0.195133.8690784471377.6229849690964
0.2134.7080925407297.58686786531539
0.205135.5346953300427.57363429798503
0.21136.3514675116487.58454555472195
0.215137.1610476092827.62015980832237
0.22137.9660918427107.68081190881205
0.225138.7692372672727.76649531635093
0.23139.5730677887577.87703070101551
0.235140.3800826305498.01147409996635
0.24141.1926668568058.1691803996527
0.245142.0130636316498.34855352460847
0.25142.8433480107578.5479186241909
0.255143.6854022064728.76534518569613
0.26144.5408924266388.99877377418033
0.265145.4112475457729.24530091276262
0.27146.2976400104119.5021568000882
0.275147.2009694949749.76601635441803
0.28148.12184989928010.0338671474727
0.285149.06060030595510.3016835109887
0.29150.01724049081710.5662818426422
0.295150.99149150153110.8239027207543
0.3151.98278169259011.0710884365972
0.305152.99025843487011.3043111541609
0.31154.01280551563211.5204776589324
0.315155.04906602211111.7166184981313
0.32156.09747027253411.8905828020751
0.325157.15626813686112.0401958951508
0.33158.22356488956512.1639187258513
0.335159.29735957101112.2606202483880
0.34160.37558471280112.3298309166949
0.345161.45614621352512.3717894550720
0.35162.53696213915012.3868162034559
0.355163.61599926785112.3760570485356
0.36164.69130629996312.3409806241219
0.365165.76104280449712.2832296634625
0.37166.82350316582212.2049034264868
0.375167.87713501727412.1083452405325
0.38168.92055189056811.9957014186339
0.385169.95254005818911.8699037332446
0.39170.97205978787411.7325660666277
0.395171.97824145179511.5865551387894
0.4172.97037712774611.4337446394102
0.405173.94790848698211.2755807139709
0.41174.91041187704811.1139986526096
0.415175.85758157445110.9502544478758
0.42176.78921220020510.7850868061999
0.425177.70518126261510.6191527837512
0.43178.60543271994710.4530165050689
0.435179.48996234633910.2868315233045
0.44180.3588055448610.1204634002033
0.445181.2120280898829.95397036415837
0.45182.0497201058129.78734785198683
0.455182.8719934093419.62029895094706
0.46183.6789821660019.45295856690873
0.465184.4708466466329.28526669432974
0.47185.247779721679.11726278450257
0.475186.0100156062888.94965214905424
0.48186.7578402710768.78276904936093
0.485187.4916028635338.61746273378073
0.49188.2117274461498.45493191650625
0.495188.918724346998.29612005542846
0.5189.6132004370608.14272511927905
0.505190.2958676930367.9960005578142
0.51190.9675494711437.857973487494
0.515191.6291840044587.73020976538305
0.52192.2818247379237.61443771620312
0.525192.9266372287987.51259199361328
0.53193.5648924611037.42640344385299
0.535194.1979565469847.35728591293423
0.54194.8272769120397.30634247129422
0.545195.4543651821177.2751082811999
0.55196.0807771026537.26362837592468
0.555196.7080899255427.27276003640231
0.56197.3378777902077.30199382264173
0.565197.9716857028917.35102112598191
0.57198.6110027793777.4188745060195
0.575199.2572354600167.50415163115407
0.58199.9116814310267.60508067504106
0.585200.5755049920187.71973148062988
0.59201.2497145963997.84555861271233
0.595201.9351432590547.9799834313511
0.6202.6324324753298.12021564038449
0.605203.3420202280638.26341599950804
0.61204.0641335770558.40668522092868
0.615204.7987862299858.54721982387491
0.62205.5457813881058.68207781379768
0.625206.3047200467508.80871272105039
0.63207.0750148130978.92462955269164
0.635207.8559091847709.02788617976935
0.64208.6465021161489.11641004889462
0.645209.4457775876499.18904410325705
0.65210.2526387896539.24458602586798
0.655211.0659464395699.28279458045467
0.66211.8845606695279.30342281293134
0.665212.7073858546569.30704166631454
0.67213.5334176979629.29457738714176
0.675214.3617918471829.2676246544647
0.68215.191833289899.2285680160314
0.685216.0231057534759.17962991017436
0.69216.8554603229259.12414787445686
0.695217.6890824779809.06597264364452
0.7218.5245367377029.00918156174713
0.705219.3628080806388.95842422727505
0.71220.2053392784428.9188355941875
0.715221.0540632371408.8956536026098
0.72221.9114293816308.89468486895674
0.725222.7804230463328.9218951899393
0.73223.6645767519548.98328399628678
0.735224.5679721624969.08455937799488
0.74225.4952314398349.23159543960975
0.745226.4514966617239.4295210303385
0.75227.4423959644339.6832532942834
0.755228.4739951389239.99658173320387
0.76229.55273357903210.3725176672639
0.765230.68534378246210.8127998646904
0.77231.87875407091311.3180021310460
0.775233.13997485041111.8869823526485
0.78234.47596959404912.5177573468718
0.785235.89351279978013.2061405903553
0.79237.39903843863313.9464860318631
0.795238.99848382045514.7317009617409
0.8240.69713529082615.5528025808033
0.805242.49948362526316.3994577462716
0.81244.4090982618117.2600808005114
0.815246.42853043629918.1217245528528
0.82248.55925566112918.9711565069635
0.825250.80166561923919.7944776830615
0.83253.15511825078820.5785634860112
0.835255.61805246209221.3109128993613
0.84258.18817044184721.9811090266151
0.845260.86268610848522.580478822289
0.85263.63863297023723.1044293427593
0.855266.51321906717223.5517817147158
0.86269.48421126847423.9251254562556
0.865272.55032674714424.2318342112912
0.87275.71160674637724.4835818097476
0.875278.96974753559124.6953888465549
0.88282.32836626534124.8848972923746
0.885285.79318539870225.0708842325665
0.89289.37212805087925.2715636206506
0.895293.0753266853425.5026353176175
0.9296.91505716896225.7752022414965
0.905300.90561646441826.0951532128253
0.91305.06316213140926.4627716577421
0.915309.40552230571926.8728529060404
0.92313.95196355268827.3175062989171
0.925318.72286965114827.7871927213678
0.93323.73923684134928.2728453442727
0.935329.02183115068528.7662008867296
0.94334.58978244779429.2572725052679
0.945340.45831053666229.7290011766624
0.95346.63519873878530.1502125097187
0.955353.11557261846130.4677662765210
0.96359.8745598023730.6045803144459
0.965366.85760737443930.4682622393525
0.97373.96878652913629.9748004907064
0.975381.05853197112629.0874800465693
0.98387.91410246462827.8606682037707
0.985394.25850227341226.4653893022677
0.99399.76598607619825.1589926458432


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
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')