## Free Statistics

of Irreproducible Research!

Author's title
Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 10 Mar 2010 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 Thu, 01 Dec 2022 15:43:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74275, Retrieved Thu, 01 Dec 2022 15:43:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact137
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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Dataseries X:
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


 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 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:

The GUIDs for individual cells are displayed in the table below:

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'Gwilym Jenkins' @ 72.249.127.135

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

\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:

The GUIDs for individual cells are displayed in the table below:

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

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')