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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 10 Mar 2010 06:58:17 -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/t1268229770fvauyhrhv1elnfb.htm/, Retrieved Sun, 01 Oct 2023 16:04:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74275, Retrieved Sun, 01 Oct 2023 16:04:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact153

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [percentielen eige...] [2009-10-16 13:51:30] [d048f11ce5ca6b7708015851efbb74d9]
-  M D    [Harrell-Davis Quantiles] [] [2010-03-10 13:58:17] [56b3fc31615413d546d21242f129ce31] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104.9
110.9
104.8
94.1
95.8
99.3
101.1
104
99
105.4
107.1
110.7
117.1
118.7
126.5
127.5
134.6
131.8
135.9
142.7
141.7
153.4
145
137.7
148.3
152.2
169.4
168.6
161.1
174.1
179
190.6
190
181.6
174.8
180.5
196.8
193.8
197
216.3
221.4
217.9
229.7
227.4
204.2
196.6
198.8
207.5
190.7
201.6
210.5
223.5
223.8
231.2
244
234.7
250.2
265.7
287.6
283.3
295.4
312.3
333.8
347.7
383.2
407.1
413.6
362.7
321.9
239.4
191
159.7
163.4
157.6
166.2
176.7
198.3
226.2
216.2
235.9
226.9
242.3
253.1
250
259.4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74275&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]1 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=74275&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74275&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0194.9938069299362.01632916701993
0.0296.45826262922342.38747136098995
0.0398.03845312278352.53199145189207
0.0499.527553433252.62699990804947
0.05100.9014925966382.75553915710509
0.06102.1928822096692.88500616312976
0.07103.4417543887993.06499963977978
0.08104.6971774502183.42239229501547
0.09106.0234999626464.04479798095133
0.1107.4921091076314.91749835692665
0.11109.1638700429245.95282687840211
0.12111.0738064836667.03635593129757
0.13113.2245329193938.05709834114858
0.14115.5885713670598.92317452475746
0.15118.1165074513989.5742810787787
0.16120.7476107230869.98613009091822
0.17123.42034656084610.1707125744925
0.18126.08106200816910.1702787911632
0.19128.68980217361510.0459022821723
0.2131.2228243896839.86469885819865
0.21133.6719895718129.68589537978631
0.22136.0417449540299.5525673876565
0.23138.3447408886889.48639673022109
0.24140.5971783484879.48799077991614
0.25142.8147930226349.54299747736203
0.26145.0100448561629.6281174400962
0.27147.1907121879899.71879627810614
0.28149.3597758517669.79415483440621
0.29151.5162689968409.83970623643793
0.3153.6566747363729.85042632547278
0.31155.776462434959.82758551657929
0.32157.8714362194369.77893225349508
0.33159.9386913098889.71477797075336
0.34161.9771004270939.64515586160056
0.35163.9873559059009.57971011176528
0.36165.9716573797149.52544046328142
0.37167.9331587253019.48534879675961
0.38169.8752826762619.45881054258874
0.39171.800994782349.44214264503587
0.4173.7121160186489.4280988305437
0.41175.6087525363939.40630780171671
0.42177.4889279403809.36464836625836
0.43179.3485059856999.29102398581378
0.44181.1814760357349.17504443978828
0.45182.9806321107589.01032122413771
0.46184.7386113963618.79800544839688
0.47186.4491825689498.54596319278914
0.48188.1086070288338.27094469577414
0.49189.7168551624857.99685952672544
0.5191.2784566087677.7515747225198
0.51192.8028004861597.5642633593356
0.52194.3037725712787.46131166511256
0.53195.7987100630127.46043517315475
0.54197.306757182167.56826729057992
0.55198.8468024592097.7776148506425
0.56200.4352573230738.06661342548832
0.57202.0839821634968.40360086917415
0.58203.7986690143178.74914351118663
0.59205.5779430807129.06189542421236
0.6207.4133508978949.3053213788484
0.61209.2902741333439.4491879645841
0.62211.1896675670519.47674110045201
0.63213.0903945856419.38397909133576
0.64214.9718475638329.18065825889448
0.65216.8165080144048.88924939816463
0.66218.6121236824718.54234194143073
0.67220.3532468179038.17746210299164
0.68222.0419736558907.83450824361833
0.69223.6878339696697.55089830181257
0.7225.3068903254897.35723374663051
0.71226.9202133483217.27348186202199
0.72228.5519980456127.30783217886864
0.73230.2276709388787.45642380067605
0.74231.972396233777.70631847746299
0.75233.8104011111338.04116259387663
0.76235.7654769537628.44854998808926
0.77237.8628424890258.92591953909205
0.78240.1322522165949.48775630400176
0.79242.61180761307810.1666303552829
0.8245.35145458671711.0108580716429
0.81248.41479472620612.0740157616024
0.82251.8778370723313.3939545749197
0.83255.82388160373214.9733959648288
0.84260.33487435946816.7639845685190
0.85265.48099385854818.6676496241351
0.86271.31130595105420.5550376485892
0.87277.8484505126122.293037727049
0.88285.08935871264623.7733255813717
0.89293.01253013937724.9287939019471
0.9301.59139260111825.7376131712597
0.91310.81314040329626.2266507994426
0.92320.70211930421026.4754661178576
0.93331.34334459340326.6166397808756
0.94342.89048168652226.7945848852668
0.95355.51948759139727.0415441348675
0.96369.26222096694027.0162365937837
0.97383.67079099185825.6260990929256
0.98397.41006254416721.0630216529260
0.99408.17161887111812.8924668410967

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 94.993806929936 & 2.01632916701993 \tabularnewline
0.02 & 96.4582626292234 & 2.38747136098995 \tabularnewline
0.03 & 98.0384531227835 & 2.53199145189207 \tabularnewline
0.04 & 99.52755343325 & 2.62699990804947 \tabularnewline
0.05 & 100.901492596638 & 2.75553915710509 \tabularnewline
0.06 & 102.192882209669 & 2.88500616312976 \tabularnewline
0.07 & 103.441754388799 & 3.06499963977978 \tabularnewline
0.08 & 104.697177450218 & 3.42239229501547 \tabularnewline
0.09 & 106.023499962646 & 4.04479798095133 \tabularnewline
0.1 & 107.492109107631 & 4.91749835692665 \tabularnewline
0.11 & 109.163870042924 & 5.95282687840211 \tabularnewline
0.12 & 111.073806483666 & 7.03635593129757 \tabularnewline
0.13 & 113.224532919393 & 8.05709834114858 \tabularnewline
0.14 & 115.588571367059 & 8.92317452475746 \tabularnewline
0.15 & 118.116507451398 & 9.5742810787787 \tabularnewline
0.16 & 120.747610723086 & 9.98613009091822 \tabularnewline
0.17 & 123.420346560846 & 10.1707125744925 \tabularnewline
0.18 & 126.081062008169 & 10.1702787911632 \tabularnewline
0.19 & 128.689802173615 & 10.0459022821723 \tabularnewline
0.2 & 131.222824389683 & 9.86469885819865 \tabularnewline
0.21 & 133.671989571812 & 9.68589537978631 \tabularnewline
0.22 & 136.041744954029 & 9.5525673876565 \tabularnewline
0.23 & 138.344740888688 & 9.48639673022109 \tabularnewline
0.24 & 140.597178348487 & 9.48799077991614 \tabularnewline
0.25 & 142.814793022634 & 9.54299747736203 \tabularnewline
0.26 & 145.010044856162 & 9.6281174400962 \tabularnewline
0.27 & 147.190712187989 & 9.71879627810614 \tabularnewline
0.28 & 149.359775851766 & 9.79415483440621 \tabularnewline
0.29 & 151.516268996840 & 9.83970623643793 \tabularnewline
0.3 & 153.656674736372 & 9.85042632547278 \tabularnewline
0.31 & 155.77646243495 & 9.82758551657929 \tabularnewline
0.32 & 157.871436219436 & 9.77893225349508 \tabularnewline
0.33 & 159.938691309888 & 9.71477797075336 \tabularnewline
0.34 & 161.977100427093 & 9.64515586160056 \tabularnewline
0.35 & 163.987355905900 & 9.57971011176528 \tabularnewline
0.36 & 165.971657379714 & 9.52544046328142 \tabularnewline
0.37 & 167.933158725301 & 9.48534879675961 \tabularnewline
0.38 & 169.875282676261 & 9.45881054258874 \tabularnewline
0.39 & 171.80099478234 & 9.44214264503587 \tabularnewline
0.4 & 173.712116018648 & 9.4280988305437 \tabularnewline
0.41 & 175.608752536393 & 9.40630780171671 \tabularnewline
0.42 & 177.488927940380 & 9.36464836625836 \tabularnewline
0.43 & 179.348505985699 & 9.29102398581378 \tabularnewline
0.44 & 181.181476035734 & 9.17504443978828 \tabularnewline
0.45 & 182.980632110758 & 9.01032122413771 \tabularnewline
0.46 & 184.738611396361 & 8.79800544839688 \tabularnewline
0.47 & 186.449182568949 & 8.54596319278914 \tabularnewline
0.48 & 188.108607028833 & 8.27094469577414 \tabularnewline
0.49 & 189.716855162485 & 7.99685952672544 \tabularnewline
0.5 & 191.278456608767 & 7.7515747225198 \tabularnewline
0.51 & 192.802800486159 & 7.5642633593356 \tabularnewline
0.52 & 194.303772571278 & 7.46131166511256 \tabularnewline
0.53 & 195.798710063012 & 7.46043517315475 \tabularnewline
0.54 & 197.30675718216 & 7.56826729057992 \tabularnewline
0.55 & 198.846802459209 & 7.7776148506425 \tabularnewline
0.56 & 200.435257323073 & 8.06661342548832 \tabularnewline
0.57 & 202.083982163496 & 8.40360086917415 \tabularnewline
0.58 & 203.798669014317 & 8.74914351118663 \tabularnewline
0.59 & 205.577943080712 & 9.06189542421236 \tabularnewline
0.6 & 207.413350897894 & 9.3053213788484 \tabularnewline
0.61 & 209.290274133343 & 9.4491879645841 \tabularnewline
0.62 & 211.189667567051 & 9.47674110045201 \tabularnewline
0.63 & 213.090394585641 & 9.38397909133576 \tabularnewline
0.64 & 214.971847563832 & 9.18065825889448 \tabularnewline
0.65 & 216.816508014404 & 8.88924939816463 \tabularnewline
0.66 & 218.612123682471 & 8.54234194143073 \tabularnewline
0.67 & 220.353246817903 & 8.17746210299164 \tabularnewline
0.68 & 222.041973655890 & 7.83450824361833 \tabularnewline
0.69 & 223.687833969669 & 7.55089830181257 \tabularnewline
0.7 & 225.306890325489 & 7.35723374663051 \tabularnewline
0.71 & 226.920213348321 & 7.27348186202199 \tabularnewline
0.72 & 228.551998045612 & 7.30783217886864 \tabularnewline
0.73 & 230.227670938878 & 7.45642380067605 \tabularnewline
0.74 & 231.97239623377 & 7.70631847746299 \tabularnewline
0.75 & 233.810401111133 & 8.04116259387663 \tabularnewline
0.76 & 235.765476953762 & 8.44854998808926 \tabularnewline
0.77 & 237.862842489025 & 8.92591953909205 \tabularnewline
0.78 & 240.132252216594 & 9.48775630400176 \tabularnewline
0.79 & 242.611807613078 & 10.1666303552829 \tabularnewline
0.8 & 245.351454586717 & 11.0108580716429 \tabularnewline
0.81 & 248.414794726206 & 12.0740157616024 \tabularnewline
0.82 & 251.87783707233 & 13.3939545749197 \tabularnewline
0.83 & 255.823881603732 & 14.9733959648288 \tabularnewline
0.84 & 260.334874359468 & 16.7639845685190 \tabularnewline
0.85 & 265.480993858548 & 18.6676496241351 \tabularnewline
0.86 & 271.311305951054 & 20.5550376485892 \tabularnewline
0.87 & 277.84845051261 & 22.293037727049 \tabularnewline
0.88 & 285.089358712646 & 23.7733255813717 \tabularnewline
0.89 & 293.012530139377 & 24.9287939019471 \tabularnewline
0.9 & 301.591392601118 & 25.7376131712597 \tabularnewline
0.91 & 310.813140403296 & 26.2266507994426 \tabularnewline
0.92 & 320.702119304210 & 26.4754661178576 \tabularnewline
0.93 & 331.343344593403 & 26.6166397808756 \tabularnewline
0.94 & 342.890481686522 & 26.7945848852668 \tabularnewline
0.95 & 355.519487591397 & 27.0415441348675 \tabularnewline
0.96 & 369.262220966940 & 27.0162365937837 \tabularnewline
0.97 & 383.670790991858 & 25.6260990929256 \tabularnewline
0.98 & 397.410062544167 & 21.0630216529260 \tabularnewline
0.99 & 408.171618871118 & 12.8924668410967 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74275&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]94.993806929936[/C][C]2.01632916701993[/C][/ROW]
[ROW][C]0.02[/C][C]96.4582626292234[/C][C]2.38747136098995[/C][/ROW]
[ROW][C]0.03[/C][C]98.0384531227835[/C][C]2.53199145189207[/C][/ROW]
[ROW][C]0.04[/C][C]99.52755343325[/C][C]2.62699990804947[/C][/ROW]
[ROW][C]0.05[/C][C]100.901492596638[/C][C]2.75553915710509[/C][/ROW]
[ROW][C]0.06[/C][C]102.192882209669[/C][C]2.88500616312976[/C][/ROW]
[ROW][C]0.07[/C][C]103.441754388799[/C][C]3.06499963977978[/C][/ROW]
[ROW][C]0.08[/C][C]104.697177450218[/C][C]3.42239229501547[/C][/ROW]
[ROW][C]0.09[/C][C]106.023499962646[/C][C]4.04479798095133[/C][/ROW]
[ROW][C]0.1[/C][C]107.492109107631[/C][C]4.91749835692665[/C][/ROW]
[ROW][C]0.11[/C][C]109.163870042924[/C][C]5.95282687840211[/C][/ROW]
[ROW][C]0.12[/C][C]111.073806483666[/C][C]7.03635593129757[/C][/ROW]
[ROW][C]0.13[/C][C]113.224532919393[/C][C]8.05709834114858[/C][/ROW]
[ROW][C]0.14[/C][C]115.588571367059[/C][C]8.92317452475746[/C][/ROW]
[ROW][C]0.15[/C][C]118.116507451398[/C][C]9.5742810787787[/C][/ROW]
[ROW][C]0.16[/C][C]120.747610723086[/C][C]9.98613009091822[/C][/ROW]
[ROW][C]0.17[/C][C]123.420346560846[/C][C]10.1707125744925[/C][/ROW]
[ROW][C]0.18[/C][C]126.081062008169[/C][C]10.1702787911632[/C][/ROW]
[ROW][C]0.19[/C][C]128.689802173615[/C][C]10.0459022821723[/C][/ROW]
[ROW][C]0.2[/C][C]131.222824389683[/C][C]9.86469885819865[/C][/ROW]
[ROW][C]0.21[/C][C]133.671989571812[/C][C]9.68589537978631[/C][/ROW]
[ROW][C]0.22[/C][C]136.041744954029[/C][C]9.5525673876565[/C][/ROW]
[ROW][C]0.23[/C][C]138.344740888688[/C][C]9.48639673022109[/C][/ROW]
[ROW][C]0.24[/C][C]140.597178348487[/C][C]9.48799077991614[/C][/ROW]
[ROW][C]0.25[/C][C]142.814793022634[/C][C]9.54299747736203[/C][/ROW]
[ROW][C]0.26[/C][C]145.010044856162[/C][C]9.6281174400962[/C][/ROW]
[ROW][C]0.27[/C][C]147.190712187989[/C][C]9.71879627810614[/C][/ROW]
[ROW][C]0.28[/C][C]149.359775851766[/C][C]9.79415483440621[/C][/ROW]
[ROW][C]0.29[/C][C]151.516268996840[/C][C]9.83970623643793[/C][/ROW]
[ROW][C]0.3[/C][C]153.656674736372[/C][C]9.85042632547278[/C][/ROW]
[ROW][C]0.31[/C][C]155.77646243495[/C][C]9.82758551657929[/C][/ROW]
[ROW][C]0.32[/C][C]157.871436219436[/C][C]9.77893225349508[/C][/ROW]
[ROW][C]0.33[/C][C]159.938691309888[/C][C]9.71477797075336[/C][/ROW]
[ROW][C]0.34[/C][C]161.977100427093[/C][C]9.64515586160056[/C][/ROW]
[ROW][C]0.35[/C][C]163.987355905900[/C][C]9.57971011176528[/C][/ROW]
[ROW][C]0.36[/C][C]165.971657379714[/C][C]9.52544046328142[/C][/ROW]
[ROW][C]0.37[/C][C]167.933158725301[/C][C]9.48534879675961[/C][/ROW]
[ROW][C]0.38[/C][C]169.875282676261[/C][C]9.45881054258874[/C][/ROW]
[ROW][C]0.39[/C][C]171.80099478234[/C][C]9.44214264503587[/C][/ROW]
[ROW][C]0.4[/C][C]173.712116018648[/C][C]9.4280988305437[/C][/ROW]
[ROW][C]0.41[/C][C]175.608752536393[/C][C]9.40630780171671[/C][/ROW]
[ROW][C]0.42[/C][C]177.488927940380[/C][C]9.36464836625836[/C][/ROW]
[ROW][C]0.43[/C][C]179.348505985699[/C][C]9.29102398581378[/C][/ROW]
[ROW][C]0.44[/C][C]181.181476035734[/C][C]9.17504443978828[/C][/ROW]
[ROW][C]0.45[/C][C]182.980632110758[/C][C]9.01032122413771[/C][/ROW]
[ROW][C]0.46[/C][C]184.738611396361[/C][C]8.79800544839688[/C][/ROW]
[ROW][C]0.47[/C][C]186.449182568949[/C][C]8.54596319278914[/C][/ROW]
[ROW][C]0.48[/C][C]188.108607028833[/C][C]8.27094469577414[/C][/ROW]
[ROW][C]0.49[/C][C]189.716855162485[/C][C]7.99685952672544[/C][/ROW]
[ROW][C]0.5[/C][C]191.278456608767[/C][C]7.7515747225198[/C][/ROW]
[ROW][C]0.51[/C][C]192.802800486159[/C][C]7.5642633593356[/C][/ROW]
[ROW][C]0.52[/C][C]194.303772571278[/C][C]7.46131166511256[/C][/ROW]
[ROW][C]0.53[/C][C]195.798710063012[/C][C]7.46043517315475[/C][/ROW]
[ROW][C]0.54[/C][C]197.30675718216[/C][C]7.56826729057992[/C][/ROW]
[ROW][C]0.55[/C][C]198.846802459209[/C][C]7.7776148506425[/C][/ROW]
[ROW][C]0.56[/C][C]200.435257323073[/C][C]8.06661342548832[/C][/ROW]
[ROW][C]0.57[/C][C]202.083982163496[/C][C]8.40360086917415[/C][/ROW]
[ROW][C]0.58[/C][C]203.798669014317[/C][C]8.74914351118663[/C][/ROW]
[ROW][C]0.59[/C][C]205.577943080712[/C][C]9.06189542421236[/C][/ROW]
[ROW][C]0.6[/C][C]207.413350897894[/C][C]9.3053213788484[/C][/ROW]
[ROW][C]0.61[/C][C]209.290274133343[/C][C]9.4491879645841[/C][/ROW]
[ROW][C]0.62[/C][C]211.189667567051[/C][C]9.47674110045201[/C][/ROW]
[ROW][C]0.63[/C][C]213.090394585641[/C][C]9.38397909133576[/C][/ROW]
[ROW][C]0.64[/C][C]214.971847563832[/C][C]9.18065825889448[/C][/ROW]
[ROW][C]0.65[/C][C]216.816508014404[/C][C]8.88924939816463[/C][/ROW]
[ROW][C]0.66[/C][C]218.612123682471[/C][C]8.54234194143073[/C][/ROW]
[ROW][C]0.67[/C][C]220.353246817903[/C][C]8.17746210299164[/C][/ROW]
[ROW][C]0.68[/C][C]222.041973655890[/C][C]7.83450824361833[/C][/ROW]
[ROW][C]0.69[/C][C]223.687833969669[/C][C]7.55089830181257[/C][/ROW]
[ROW][C]0.7[/C][C]225.306890325489[/C][C]7.35723374663051[/C][/ROW]
[ROW][C]0.71[/C][C]226.920213348321[/C][C]7.27348186202199[/C][/ROW]
[ROW][C]0.72[/C][C]228.551998045612[/C][C]7.30783217886864[/C][/ROW]
[ROW][C]0.73[/C][C]230.227670938878[/C][C]7.45642380067605[/C][/ROW]
[ROW][C]0.74[/C][C]231.97239623377[/C][C]7.70631847746299[/C][/ROW]
[ROW][C]0.75[/C][C]233.810401111133[/C][C]8.04116259387663[/C][/ROW]
[ROW][C]0.76[/C][C]235.765476953762[/C][C]8.44854998808926[/C][/ROW]
[ROW][C]0.77[/C][C]237.862842489025[/C][C]8.92591953909205[/C][/ROW]
[ROW][C]0.78[/C][C]240.132252216594[/C][C]9.48775630400176[/C][/ROW]
[ROW][C]0.79[/C][C]242.611807613078[/C][C]10.1666303552829[/C][/ROW]
[ROW][C]0.8[/C][C]245.351454586717[/C][C]11.0108580716429[/C][/ROW]
[ROW][C]0.81[/C][C]248.414794726206[/C][C]12.0740157616024[/C][/ROW]
[ROW][C]0.82[/C][C]251.87783707233[/C][C]13.3939545749197[/C][/ROW]
[ROW][C]0.83[/C][C]255.823881603732[/C][C]14.9733959648288[/C][/ROW]
[ROW][C]0.84[/C][C]260.334874359468[/C][C]16.7639845685190[/C][/ROW]
[ROW][C]0.85[/C][C]265.480993858548[/C][C]18.6676496241351[/C][/ROW]
[ROW][C]0.86[/C][C]271.311305951054[/C][C]20.5550376485892[/C][/ROW]
[ROW][C]0.87[/C][C]277.84845051261[/C][C]22.293037727049[/C][/ROW]
[ROW][C]0.88[/C][C]285.089358712646[/C][C]23.7733255813717[/C][/ROW]
[ROW][C]0.89[/C][C]293.012530139377[/C][C]24.9287939019471[/C][/ROW]
[ROW][C]0.9[/C][C]301.591392601118[/C][C]25.7376131712597[/C][/ROW]
[ROW][C]0.91[/C][C]310.813140403296[/C][C]26.2266507994426[/C][/ROW]
[ROW][C]0.92[/C][C]320.702119304210[/C][C]26.4754661178576[/C][/ROW]
[ROW][C]0.93[/C][C]331.343344593403[/C][C]26.6166397808756[/C][/ROW]
[ROW][C]0.94[/C][C]342.890481686522[/C][C]26.7945848852668[/C][/ROW]
[ROW][C]0.95[/C][C]355.519487591397[/C][C]27.0415441348675[/C][/ROW]
[ROW][C]0.96[/C][C]369.262220966940[/C][C]27.0162365937837[/C][/ROW]
[ROW][C]0.97[/C][C]383.670790991858[/C][C]25.6260990929256[/C][/ROW]
[ROW][C]0.98[/C][C]397.410062544167[/C][C]21.0630216529260[/C][/ROW]
[ROW][C]0.99[/C][C]408.171618871118[/C][C]12.8924668410967[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74275&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74275&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
0.0194.9938069299362.01632916701993
0.0296.45826262922342.38747136098995
0.0398.03845312278352.53199145189207
0.0499.527553433252.62699990804947
0.05100.9014925966382.75553915710509
0.06102.1928822096692.88500616312976
0.07103.4417543887993.06499963977978
0.08104.6971774502183.42239229501547
0.09106.0234999626464.04479798095133
0.1107.4921091076314.91749835692665
0.11109.1638700429245.95282687840211
0.12111.0738064836667.03635593129757
0.13113.2245329193938.05709834114858
0.14115.5885713670598.92317452475746
0.15118.1165074513989.5742810787787
0.16120.7476107230869.98613009091822
0.17123.42034656084610.1707125744925
0.18126.08106200816910.1702787911632
0.19128.68980217361510.0459022821723
0.2131.2228243896839.86469885819865
0.21133.6719895718129.68589537978631
0.22136.0417449540299.5525673876565
0.23138.3447408886889.48639673022109
0.24140.5971783484879.48799077991614
0.25142.8147930226349.54299747736203
0.26145.0100448561629.6281174400962
0.27147.1907121879899.71879627810614
0.28149.3597758517669.79415483440621
0.29151.5162689968409.83970623643793
0.3153.6566747363729.85042632547278
0.31155.776462434959.82758551657929
0.32157.8714362194369.77893225349508
0.33159.9386913098889.71477797075336
0.34161.9771004270939.64515586160056
0.35163.9873559059009.57971011176528
0.36165.9716573797149.52544046328142
0.37167.9331587253019.48534879675961
0.38169.8752826762619.45881054258874
0.39171.800994782349.44214264503587
0.4173.7121160186489.4280988305437
0.41175.6087525363939.40630780171671
0.42177.4889279403809.36464836625836
0.43179.3485059856999.29102398581378
0.44181.1814760357349.17504443978828
0.45182.9806321107589.01032122413771
0.46184.7386113963618.79800544839688
0.47186.4491825689498.54596319278914
0.48188.1086070288338.27094469577414
0.49189.7168551624857.99685952672544
0.5191.2784566087677.7515747225198
0.51192.8028004861597.5642633593356
0.52194.3037725712787.46131166511256
0.53195.7987100630127.46043517315475
0.54197.306757182167.56826729057992
0.55198.8468024592097.7776148506425
0.56200.4352573230738.06661342548832
0.57202.0839821634968.40360086917415
0.58203.7986690143178.74914351118663
0.59205.5779430807129.06189542421236
0.6207.4133508978949.3053213788484
0.61209.2902741333439.4491879645841
0.62211.1896675670519.47674110045201
0.63213.0903945856419.38397909133576
0.64214.9718475638329.18065825889448
0.65216.8165080144048.88924939816463
0.66218.6121236824718.54234194143073
0.67220.3532468179038.17746210299164
0.68222.0419736558907.83450824361833
0.69223.6878339696697.55089830181257
0.7225.3068903254897.35723374663051
0.71226.9202133483217.27348186202199
0.72228.5519980456127.30783217886864
0.73230.2276709388787.45642380067605
0.74231.972396233777.70631847746299
0.75233.8104011111338.04116259387663
0.76235.7654769537628.44854998808926
0.77237.8628424890258.92591953909205
0.78240.1322522165949.48775630400176
0.79242.61180761307810.1666303552829
0.8245.35145458671711.0108580716429
0.81248.41479472620612.0740157616024
0.82251.8778370723313.3939545749197
0.83255.82388160373214.9733959648288
0.84260.33487435946816.7639845685190
0.85265.48099385854818.6676496241351
0.86271.31130595105420.5550376485892
0.87277.8484505126122.293037727049
0.88285.08935871264623.7733255813717
0.89293.01253013937724.9287939019471
0.9301.59139260111825.7376131712597
0.91310.81314040329626.2266507994426
0.92320.70211930421026.4754661178576
0.93331.34334459340326.6166397808756
0.94342.89048168652226.7945848852668
0.95355.51948759139727.0415441348675
0.96369.26222096694027.0162365937837
0.97383.67079099185825.6260990929256
0.98397.41006254416721.0630216529260
0.99408.17161887111812.8924668410967


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')