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 computationMon, 08 Mar 2010 06:15:07 -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/08/t1268054238ow55sw0bsththfj.htm/, Retrieved Fri, 28 Jan 2022 08:32:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74131, Retrieved Fri, 28 Jan 2022 08:32:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact133
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [The total generat...] [2010-03-08 13:15:07] [0e6aef37627b8cf9d1bd74110cef2cca] [Current]
Feedback Forum

Post a new message
Dataseries X:
227.86
198.24
194.97
184.88
196.79
205.36
226.72
226.05
202.50
194.79
192.43
219.25
217.47
192.34
196.83
186.07
197.31
215.02
242.67
225.17
206.69
197.75
196.43
213.55
222.75
194.03
201.85
189.50
206.07
225.59
247.91
247.64
213.01
203.01
200.26
220.50
237.90
216.94
214.01
196.00
208.37
232.75
257.46
267.69
220.18
210.61
209.59
232.75
232.75
219.82
226.74
208.04
220.12
235.69
257.05
258.69
227.15
219.91
219.30
259.04
237.29
212.88
226.03
211.07
222.91
249.18
266.38
268.53
238.02
224.69
213.75
237.43
248.46
210.82
221.40
209.00
234.37
248.43
271.98
268.11
233.88
223.43
221.38
233.76
243.97
217.76
224.66
210.84
220.35
236.84
266.15
255.20
234.76
221.29
221.26
244.13
245.78
224.62
234.80
211.37
222.39
249.63
282.29
279.13
236.60
223.62
225.86
246.41
261.70
225.01
231.54
214.82
227.70
263.86
278.15
274.64
237.66
227.97
224.75
242.91
253.08
228.13
233.68
217.38
236.38
256.08
292.83
304.71
245.57
234.41
234.12
258.17
268.66
245.31
247.47
226.25
251.67
268.79
288.94
290.16
250.69
240.80




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74131&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74131&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74131&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01186.6658413543952.53891274923894
0.02189.5034987210232.87693881250865
0.03191.8792344456532.25929267329318
0.04193.5192596813161.79348101597877
0.05194.6858310108461.56500700173282
0.06195.6124514504861.49063984130488
0.07196.4447915878181.60167990027969
0.08197.2950192447471.92894114710322
0.09198.2517530041812.41467514747735
0.1199.3623547010642.93418704573968
0.11200.6219586910873.36027229882617
0.12201.9825866675923.61573448902773
0.13203.3759381219023.68344997985784
0.14204.7363023774603.59086443648908
0.15206.0148597477693.38894721973092
0.16207.1844712759633.13225147349506
0.17208.2382007263222.87132665759293
0.18209.1849144982292.64552693493757
0.19210.0439439319832.48131931099712
0.2210.8397764906522.39072335426479
0.21211.5973412491072.37059691123525
0.22212.3382916678552.40689513461682
0.23213.0784923491412.47812145815345
0.24213.8266935017162.56009163112939
0.25214.5842555097252.62914567529636
0.26215.3458120040262.66321597117545
0.27216.1008260779622.64688443276648
0.28216.8359459348332.57485452485986
0.29217.5378603378272.45197385039078
0.3218.1961092924852.29411704251666
0.31218.8052017865562.12339971117129
0.32219.3655296417601.96338870829575
0.33219.8829004709271.83367015364117
0.34220.3669008259321.74613508033903
0.35220.8285949489151.70266584075765
0.36221.278181070231.69420938198973
0.37221.7231620147941.70550515401276
0.38222.1673925919941.72165690352678
0.39222.6111167216991.72788726688030
0.4223.0518710752541.71667835094206
0.41223.4859599089121.68740358718399
0.42223.9101263729581.64473733243926
0.43224.3230626122701.60054235774824
0.44224.7264914020191.56845517779789
0.45225.1256715494371.56513063913400
0.46225.5292799997561.60452840620702
0.47225.9486794531271.69626086475203
0.48226.3966044677431.84321845516509
0.49226.8853375161782.03891795355962
0.5227.4245453691832.26686709744711
0.51228.0191090579282.50318396955991
0.52228.6674451668662.71704491466659
0.53229.3608731407172.87761987367385
0.54230.0844369045952.96331352623064
0.55230.819227634912.96209377721709
0.56231.5457848459672.8798216936554
0.57232.2477673431702.73713202595303
0.58232.9149683086792.56453099176404
0.59233.5449716845972.39700861103096
0.6234.1432175752252.26715490234837
0.61234.7217437488152.19809222304843
0.62235.2971669450072.20298109513275
0.63235.8884457275722.28585887109084
0.64236.5146950014072.44143467248661
0.65237.1930190057942.65664759349464
0.66237.9362317534182.91013408059204
0.67238.7505425625463.17145187183575
0.68239.6336799389063.40404843025567
0.69240.5742238136643.57195916523197
0.7241.5528413384873.64858977374686
0.71242.5456113458003.62470765710788
0.72243.528892137123.51099936109126
0.73244.4846034840053.33776366643797
0.74245.4046296045163.14899778876565
0.75246.29330551512.99247553250412
0.76247.1673935102012.91206641362132
0.77248.0533672302952.93673420294634
0.78248.9822129357663.07155589548368
0.79249.9825611706333.29242467942699
0.8251.0738927668133.55244192759055
0.81252.2624256817813.79526060443063
0.82253.5421356900933.97990795709063
0.83254.9013119154564.0984914711162
0.84256.3313746095434.17785447227052
0.85257.831560920644.25764993005589
0.86259.4038384513114.34671851964183
0.87261.0389028242054.39455347309541
0.88262.7037864054344.31354797146231
0.89264.3471386472434.05169888104739
0.9265.9318174199173.67058336125985
0.91267.4845786784163.37514582118781
0.92269.1295914485213.43360382626221
0.93271.0688193839823.94806534097765
0.94273.5095990555664.71928496443789
0.95276.5944884400365.45495201286668
0.96280.3670591062055.97073475858078
0.97284.7487557150455.96136810961972
0.98289.8849758392245.34604616432488
0.99297.1498778874147.05066346079474

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 186.665841354395 & 2.53891274923894 \tabularnewline
0.02 & 189.503498721023 & 2.87693881250865 \tabularnewline
0.03 & 191.879234445653 & 2.25929267329318 \tabularnewline
0.04 & 193.519259681316 & 1.79348101597877 \tabularnewline
0.05 & 194.685831010846 & 1.56500700173282 \tabularnewline
0.06 & 195.612451450486 & 1.49063984130488 \tabularnewline
0.07 & 196.444791587818 & 1.60167990027969 \tabularnewline
0.08 & 197.295019244747 & 1.92894114710322 \tabularnewline
0.09 & 198.251753004181 & 2.41467514747735 \tabularnewline
0.1 & 199.362354701064 & 2.93418704573968 \tabularnewline
0.11 & 200.621958691087 & 3.36027229882617 \tabularnewline
0.12 & 201.982586667592 & 3.61573448902773 \tabularnewline
0.13 & 203.375938121902 & 3.68344997985784 \tabularnewline
0.14 & 204.736302377460 & 3.59086443648908 \tabularnewline
0.15 & 206.014859747769 & 3.38894721973092 \tabularnewline
0.16 & 207.184471275963 & 3.13225147349506 \tabularnewline
0.17 & 208.238200726322 & 2.87132665759293 \tabularnewline
0.18 & 209.184914498229 & 2.64552693493757 \tabularnewline
0.19 & 210.043943931983 & 2.48131931099712 \tabularnewline
0.2 & 210.839776490652 & 2.39072335426479 \tabularnewline
0.21 & 211.597341249107 & 2.37059691123525 \tabularnewline
0.22 & 212.338291667855 & 2.40689513461682 \tabularnewline
0.23 & 213.078492349141 & 2.47812145815345 \tabularnewline
0.24 & 213.826693501716 & 2.56009163112939 \tabularnewline
0.25 & 214.584255509725 & 2.62914567529636 \tabularnewline
0.26 & 215.345812004026 & 2.66321597117545 \tabularnewline
0.27 & 216.100826077962 & 2.64688443276648 \tabularnewline
0.28 & 216.835945934833 & 2.57485452485986 \tabularnewline
0.29 & 217.537860337827 & 2.45197385039078 \tabularnewline
0.3 & 218.196109292485 & 2.29411704251666 \tabularnewline
0.31 & 218.805201786556 & 2.12339971117129 \tabularnewline
0.32 & 219.365529641760 & 1.96338870829575 \tabularnewline
0.33 & 219.882900470927 & 1.83367015364117 \tabularnewline
0.34 & 220.366900825932 & 1.74613508033903 \tabularnewline
0.35 & 220.828594948915 & 1.70266584075765 \tabularnewline
0.36 & 221.27818107023 & 1.69420938198973 \tabularnewline
0.37 & 221.723162014794 & 1.70550515401276 \tabularnewline
0.38 & 222.167392591994 & 1.72165690352678 \tabularnewline
0.39 & 222.611116721699 & 1.72788726688030 \tabularnewline
0.4 & 223.051871075254 & 1.71667835094206 \tabularnewline
0.41 & 223.485959908912 & 1.68740358718399 \tabularnewline
0.42 & 223.910126372958 & 1.64473733243926 \tabularnewline
0.43 & 224.323062612270 & 1.60054235774824 \tabularnewline
0.44 & 224.726491402019 & 1.56845517779789 \tabularnewline
0.45 & 225.125671549437 & 1.56513063913400 \tabularnewline
0.46 & 225.529279999756 & 1.60452840620702 \tabularnewline
0.47 & 225.948679453127 & 1.69626086475203 \tabularnewline
0.48 & 226.396604467743 & 1.84321845516509 \tabularnewline
0.49 & 226.885337516178 & 2.03891795355962 \tabularnewline
0.5 & 227.424545369183 & 2.26686709744711 \tabularnewline
0.51 & 228.019109057928 & 2.50318396955991 \tabularnewline
0.52 & 228.667445166866 & 2.71704491466659 \tabularnewline
0.53 & 229.360873140717 & 2.87761987367385 \tabularnewline
0.54 & 230.084436904595 & 2.96331352623064 \tabularnewline
0.55 & 230.81922763491 & 2.96209377721709 \tabularnewline
0.56 & 231.545784845967 & 2.8798216936554 \tabularnewline
0.57 & 232.247767343170 & 2.73713202595303 \tabularnewline
0.58 & 232.914968308679 & 2.56453099176404 \tabularnewline
0.59 & 233.544971684597 & 2.39700861103096 \tabularnewline
0.6 & 234.143217575225 & 2.26715490234837 \tabularnewline
0.61 & 234.721743748815 & 2.19809222304843 \tabularnewline
0.62 & 235.297166945007 & 2.20298109513275 \tabularnewline
0.63 & 235.888445727572 & 2.28585887109084 \tabularnewline
0.64 & 236.514695001407 & 2.44143467248661 \tabularnewline
0.65 & 237.193019005794 & 2.65664759349464 \tabularnewline
0.66 & 237.936231753418 & 2.91013408059204 \tabularnewline
0.67 & 238.750542562546 & 3.17145187183575 \tabularnewline
0.68 & 239.633679938906 & 3.40404843025567 \tabularnewline
0.69 & 240.574223813664 & 3.57195916523197 \tabularnewline
0.7 & 241.552841338487 & 3.64858977374686 \tabularnewline
0.71 & 242.545611345800 & 3.62470765710788 \tabularnewline
0.72 & 243.52889213712 & 3.51099936109126 \tabularnewline
0.73 & 244.484603484005 & 3.33776366643797 \tabularnewline
0.74 & 245.404629604516 & 3.14899778876565 \tabularnewline
0.75 & 246.2933055151 & 2.99247553250412 \tabularnewline
0.76 & 247.167393510201 & 2.91206641362132 \tabularnewline
0.77 & 248.053367230295 & 2.93673420294634 \tabularnewline
0.78 & 248.982212935766 & 3.07155589548368 \tabularnewline
0.79 & 249.982561170633 & 3.29242467942699 \tabularnewline
0.8 & 251.073892766813 & 3.55244192759055 \tabularnewline
0.81 & 252.262425681781 & 3.79526060443063 \tabularnewline
0.82 & 253.542135690093 & 3.97990795709063 \tabularnewline
0.83 & 254.901311915456 & 4.0984914711162 \tabularnewline
0.84 & 256.331374609543 & 4.17785447227052 \tabularnewline
0.85 & 257.83156092064 & 4.25764993005589 \tabularnewline
0.86 & 259.403838451311 & 4.34671851964183 \tabularnewline
0.87 & 261.038902824205 & 4.39455347309541 \tabularnewline
0.88 & 262.703786405434 & 4.31354797146231 \tabularnewline
0.89 & 264.347138647243 & 4.05169888104739 \tabularnewline
0.9 & 265.931817419917 & 3.67058336125985 \tabularnewline
0.91 & 267.484578678416 & 3.37514582118781 \tabularnewline
0.92 & 269.129591448521 & 3.43360382626221 \tabularnewline
0.93 & 271.068819383982 & 3.94806534097765 \tabularnewline
0.94 & 273.509599055566 & 4.71928496443789 \tabularnewline
0.95 & 276.594488440036 & 5.45495201286668 \tabularnewline
0.96 & 280.367059106205 & 5.97073475858078 \tabularnewline
0.97 & 284.748755715045 & 5.96136810961972 \tabularnewline
0.98 & 289.884975839224 & 5.34604616432488 \tabularnewline
0.99 & 297.149877887414 & 7.05066346079474 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74131&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]186.665841354395[/C][C]2.53891274923894[/C][/ROW]
[ROW][C]0.02[/C][C]189.503498721023[/C][C]2.87693881250865[/C][/ROW]
[ROW][C]0.03[/C][C]191.879234445653[/C][C]2.25929267329318[/C][/ROW]
[ROW][C]0.04[/C][C]193.519259681316[/C][C]1.79348101597877[/C][/ROW]
[ROW][C]0.05[/C][C]194.685831010846[/C][C]1.56500700173282[/C][/ROW]
[ROW][C]0.06[/C][C]195.612451450486[/C][C]1.49063984130488[/C][/ROW]
[ROW][C]0.07[/C][C]196.444791587818[/C][C]1.60167990027969[/C][/ROW]
[ROW][C]0.08[/C][C]197.295019244747[/C][C]1.92894114710322[/C][/ROW]
[ROW][C]0.09[/C][C]198.251753004181[/C][C]2.41467514747735[/C][/ROW]
[ROW][C]0.1[/C][C]199.362354701064[/C][C]2.93418704573968[/C][/ROW]
[ROW][C]0.11[/C][C]200.621958691087[/C][C]3.36027229882617[/C][/ROW]
[ROW][C]0.12[/C][C]201.982586667592[/C][C]3.61573448902773[/C][/ROW]
[ROW][C]0.13[/C][C]203.375938121902[/C][C]3.68344997985784[/C][/ROW]
[ROW][C]0.14[/C][C]204.736302377460[/C][C]3.59086443648908[/C][/ROW]
[ROW][C]0.15[/C][C]206.014859747769[/C][C]3.38894721973092[/C][/ROW]
[ROW][C]0.16[/C][C]207.184471275963[/C][C]3.13225147349506[/C][/ROW]
[ROW][C]0.17[/C][C]208.238200726322[/C][C]2.87132665759293[/C][/ROW]
[ROW][C]0.18[/C][C]209.184914498229[/C][C]2.64552693493757[/C][/ROW]
[ROW][C]0.19[/C][C]210.043943931983[/C][C]2.48131931099712[/C][/ROW]
[ROW][C]0.2[/C][C]210.839776490652[/C][C]2.39072335426479[/C][/ROW]
[ROW][C]0.21[/C][C]211.597341249107[/C][C]2.37059691123525[/C][/ROW]
[ROW][C]0.22[/C][C]212.338291667855[/C][C]2.40689513461682[/C][/ROW]
[ROW][C]0.23[/C][C]213.078492349141[/C][C]2.47812145815345[/C][/ROW]
[ROW][C]0.24[/C][C]213.826693501716[/C][C]2.56009163112939[/C][/ROW]
[ROW][C]0.25[/C][C]214.584255509725[/C][C]2.62914567529636[/C][/ROW]
[ROW][C]0.26[/C][C]215.345812004026[/C][C]2.66321597117545[/C][/ROW]
[ROW][C]0.27[/C][C]216.100826077962[/C][C]2.64688443276648[/C][/ROW]
[ROW][C]0.28[/C][C]216.835945934833[/C][C]2.57485452485986[/C][/ROW]
[ROW][C]0.29[/C][C]217.537860337827[/C][C]2.45197385039078[/C][/ROW]
[ROW][C]0.3[/C][C]218.196109292485[/C][C]2.29411704251666[/C][/ROW]
[ROW][C]0.31[/C][C]218.805201786556[/C][C]2.12339971117129[/C][/ROW]
[ROW][C]0.32[/C][C]219.365529641760[/C][C]1.96338870829575[/C][/ROW]
[ROW][C]0.33[/C][C]219.882900470927[/C][C]1.83367015364117[/C][/ROW]
[ROW][C]0.34[/C][C]220.366900825932[/C][C]1.74613508033903[/C][/ROW]
[ROW][C]0.35[/C][C]220.828594948915[/C][C]1.70266584075765[/C][/ROW]
[ROW][C]0.36[/C][C]221.27818107023[/C][C]1.69420938198973[/C][/ROW]
[ROW][C]0.37[/C][C]221.723162014794[/C][C]1.70550515401276[/C][/ROW]
[ROW][C]0.38[/C][C]222.167392591994[/C][C]1.72165690352678[/C][/ROW]
[ROW][C]0.39[/C][C]222.611116721699[/C][C]1.72788726688030[/C][/ROW]
[ROW][C]0.4[/C][C]223.051871075254[/C][C]1.71667835094206[/C][/ROW]
[ROW][C]0.41[/C][C]223.485959908912[/C][C]1.68740358718399[/C][/ROW]
[ROW][C]0.42[/C][C]223.910126372958[/C][C]1.64473733243926[/C][/ROW]
[ROW][C]0.43[/C][C]224.323062612270[/C][C]1.60054235774824[/C][/ROW]
[ROW][C]0.44[/C][C]224.726491402019[/C][C]1.56845517779789[/C][/ROW]
[ROW][C]0.45[/C][C]225.125671549437[/C][C]1.56513063913400[/C][/ROW]
[ROW][C]0.46[/C][C]225.529279999756[/C][C]1.60452840620702[/C][/ROW]
[ROW][C]0.47[/C][C]225.948679453127[/C][C]1.69626086475203[/C][/ROW]
[ROW][C]0.48[/C][C]226.396604467743[/C][C]1.84321845516509[/C][/ROW]
[ROW][C]0.49[/C][C]226.885337516178[/C][C]2.03891795355962[/C][/ROW]
[ROW][C]0.5[/C][C]227.424545369183[/C][C]2.26686709744711[/C][/ROW]
[ROW][C]0.51[/C][C]228.019109057928[/C][C]2.50318396955991[/C][/ROW]
[ROW][C]0.52[/C][C]228.667445166866[/C][C]2.71704491466659[/C][/ROW]
[ROW][C]0.53[/C][C]229.360873140717[/C][C]2.87761987367385[/C][/ROW]
[ROW][C]0.54[/C][C]230.084436904595[/C][C]2.96331352623064[/C][/ROW]
[ROW][C]0.55[/C][C]230.81922763491[/C][C]2.96209377721709[/C][/ROW]
[ROW][C]0.56[/C][C]231.545784845967[/C][C]2.8798216936554[/C][/ROW]
[ROW][C]0.57[/C][C]232.247767343170[/C][C]2.73713202595303[/C][/ROW]
[ROW][C]0.58[/C][C]232.914968308679[/C][C]2.56453099176404[/C][/ROW]
[ROW][C]0.59[/C][C]233.544971684597[/C][C]2.39700861103096[/C][/ROW]
[ROW][C]0.6[/C][C]234.143217575225[/C][C]2.26715490234837[/C][/ROW]
[ROW][C]0.61[/C][C]234.721743748815[/C][C]2.19809222304843[/C][/ROW]
[ROW][C]0.62[/C][C]235.297166945007[/C][C]2.20298109513275[/C][/ROW]
[ROW][C]0.63[/C][C]235.888445727572[/C][C]2.28585887109084[/C][/ROW]
[ROW][C]0.64[/C][C]236.514695001407[/C][C]2.44143467248661[/C][/ROW]
[ROW][C]0.65[/C][C]237.193019005794[/C][C]2.65664759349464[/C][/ROW]
[ROW][C]0.66[/C][C]237.936231753418[/C][C]2.91013408059204[/C][/ROW]
[ROW][C]0.67[/C][C]238.750542562546[/C][C]3.17145187183575[/C][/ROW]
[ROW][C]0.68[/C][C]239.633679938906[/C][C]3.40404843025567[/C][/ROW]
[ROW][C]0.69[/C][C]240.574223813664[/C][C]3.57195916523197[/C][/ROW]
[ROW][C]0.7[/C][C]241.552841338487[/C][C]3.64858977374686[/C][/ROW]
[ROW][C]0.71[/C][C]242.545611345800[/C][C]3.62470765710788[/C][/ROW]
[ROW][C]0.72[/C][C]243.52889213712[/C][C]3.51099936109126[/C][/ROW]
[ROW][C]0.73[/C][C]244.484603484005[/C][C]3.33776366643797[/C][/ROW]
[ROW][C]0.74[/C][C]245.404629604516[/C][C]3.14899778876565[/C][/ROW]
[ROW][C]0.75[/C][C]246.2933055151[/C][C]2.99247553250412[/C][/ROW]
[ROW][C]0.76[/C][C]247.167393510201[/C][C]2.91206641362132[/C][/ROW]
[ROW][C]0.77[/C][C]248.053367230295[/C][C]2.93673420294634[/C][/ROW]
[ROW][C]0.78[/C][C]248.982212935766[/C][C]3.07155589548368[/C][/ROW]
[ROW][C]0.79[/C][C]249.982561170633[/C][C]3.29242467942699[/C][/ROW]
[ROW][C]0.8[/C][C]251.073892766813[/C][C]3.55244192759055[/C][/ROW]
[ROW][C]0.81[/C][C]252.262425681781[/C][C]3.79526060443063[/C][/ROW]
[ROW][C]0.82[/C][C]253.542135690093[/C][C]3.97990795709063[/C][/ROW]
[ROW][C]0.83[/C][C]254.901311915456[/C][C]4.0984914711162[/C][/ROW]
[ROW][C]0.84[/C][C]256.331374609543[/C][C]4.17785447227052[/C][/ROW]
[ROW][C]0.85[/C][C]257.83156092064[/C][C]4.25764993005589[/C][/ROW]
[ROW][C]0.86[/C][C]259.403838451311[/C][C]4.34671851964183[/C][/ROW]
[ROW][C]0.87[/C][C]261.038902824205[/C][C]4.39455347309541[/C][/ROW]
[ROW][C]0.88[/C][C]262.703786405434[/C][C]4.31354797146231[/C][/ROW]
[ROW][C]0.89[/C][C]264.347138647243[/C][C]4.05169888104739[/C][/ROW]
[ROW][C]0.9[/C][C]265.931817419917[/C][C]3.67058336125985[/C][/ROW]
[ROW][C]0.91[/C][C]267.484578678416[/C][C]3.37514582118781[/C][/ROW]
[ROW][C]0.92[/C][C]269.129591448521[/C][C]3.43360382626221[/C][/ROW]
[ROW][C]0.93[/C][C]271.068819383982[/C][C]3.94806534097765[/C][/ROW]
[ROW][C]0.94[/C][C]273.509599055566[/C][C]4.71928496443789[/C][/ROW]
[ROW][C]0.95[/C][C]276.594488440036[/C][C]5.45495201286668[/C][/ROW]
[ROW][C]0.96[/C][C]280.367059106205[/C][C]5.97073475858078[/C][/ROW]
[ROW][C]0.97[/C][C]284.748755715045[/C][C]5.96136810961972[/C][/ROW]
[ROW][C]0.98[/C][C]289.884975839224[/C][C]5.34604616432488[/C][/ROW]
[ROW][C]0.99[/C][C]297.149877887414[/C][C]7.05066346079474[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74131&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74131&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01186.6658413543952.53891274923894
0.02189.5034987210232.87693881250865
0.03191.8792344456532.25929267329318
0.04193.5192596813161.79348101597877
0.05194.6858310108461.56500700173282
0.06195.6124514504861.49063984130488
0.07196.4447915878181.60167990027969
0.08197.2950192447471.92894114710322
0.09198.2517530041812.41467514747735
0.1199.3623547010642.93418704573968
0.11200.6219586910873.36027229882617
0.12201.9825866675923.61573448902773
0.13203.3759381219023.68344997985784
0.14204.7363023774603.59086443648908
0.15206.0148597477693.38894721973092
0.16207.1844712759633.13225147349506
0.17208.2382007263222.87132665759293
0.18209.1849144982292.64552693493757
0.19210.0439439319832.48131931099712
0.2210.8397764906522.39072335426479
0.21211.5973412491072.37059691123525
0.22212.3382916678552.40689513461682
0.23213.0784923491412.47812145815345
0.24213.8266935017162.56009163112939
0.25214.5842555097252.62914567529636
0.26215.3458120040262.66321597117545
0.27216.1008260779622.64688443276648
0.28216.8359459348332.57485452485986
0.29217.5378603378272.45197385039078
0.3218.1961092924852.29411704251666
0.31218.8052017865562.12339971117129
0.32219.3655296417601.96338870829575
0.33219.8829004709271.83367015364117
0.34220.3669008259321.74613508033903
0.35220.8285949489151.70266584075765
0.36221.278181070231.69420938198973
0.37221.7231620147941.70550515401276
0.38222.1673925919941.72165690352678
0.39222.6111167216991.72788726688030
0.4223.0518710752541.71667835094206
0.41223.4859599089121.68740358718399
0.42223.9101263729581.64473733243926
0.43224.3230626122701.60054235774824
0.44224.7264914020191.56845517779789
0.45225.1256715494371.56513063913400
0.46225.5292799997561.60452840620702
0.47225.9486794531271.69626086475203
0.48226.3966044677431.84321845516509
0.49226.8853375161782.03891795355962
0.5227.4245453691832.26686709744711
0.51228.0191090579282.50318396955991
0.52228.6674451668662.71704491466659
0.53229.3608731407172.87761987367385
0.54230.0844369045952.96331352623064
0.55230.819227634912.96209377721709
0.56231.5457848459672.8798216936554
0.57232.2477673431702.73713202595303
0.58232.9149683086792.56453099176404
0.59233.5449716845972.39700861103096
0.6234.1432175752252.26715490234837
0.61234.7217437488152.19809222304843
0.62235.2971669450072.20298109513275
0.63235.8884457275722.28585887109084
0.64236.5146950014072.44143467248661
0.65237.1930190057942.65664759349464
0.66237.9362317534182.91013408059204
0.67238.7505425625463.17145187183575
0.68239.6336799389063.40404843025567
0.69240.5742238136643.57195916523197
0.7241.5528413384873.64858977374686
0.71242.5456113458003.62470765710788
0.72243.528892137123.51099936109126
0.73244.4846034840053.33776366643797
0.74245.4046296045163.14899778876565
0.75246.29330551512.99247553250412
0.76247.1673935102012.91206641362132
0.77248.0533672302952.93673420294634
0.78248.9822129357663.07155589548368
0.79249.9825611706333.29242467942699
0.8251.0738927668133.55244192759055
0.81252.2624256817813.79526060443063
0.82253.5421356900933.97990795709063
0.83254.9013119154564.0984914711162
0.84256.3313746095434.17785447227052
0.85257.831560920644.25764993005589
0.86259.4038384513114.34671851964183
0.87261.0389028242054.39455347309541
0.88262.7037864054344.31354797146231
0.89264.3471386472434.05169888104739
0.9265.9318174199173.67058336125985
0.91267.4845786784163.37514582118781
0.92269.1295914485213.43360382626221
0.93271.0688193839823.94806534097765
0.94273.5095990555664.71928496443789
0.95276.5944884400365.45495201286668
0.96280.3670591062055.97073475858078
0.97284.7487557150455.96136810961972
0.98289.8849758392245.34604616432488
0.99297.1498778874147.05066346079474



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')