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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 03 Mar 2010 11:33:44 -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/03/t1267641360l76lyysbc61y0fy.htm/, Retrieved Tue, 05 Jul 2022 02:33:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73927, Retrieved Tue, 05 Jul 2022 02:33:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrell-Davis Qua...] [2010-03-03 18:33:44] [7305f5ba5e018172148a6d5988ec7f42] [Current]
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Dataseries X:
164
96
73
49
39
59
169
169
210
278
298
245
200
188
90
79
78
91
167
169
289
247
275
203
223
104
107
85
75
99
135
211
335
488
326
346
261
224
141
148
145
223
272
445
560
612
467
404
518
404
300
210
196
186
247
343
464
680
711
610
513
292
273
322
189
257
324
404
677
858
895
664
628
308
324
248
272




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=73927&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=73927&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73927&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
0.0143.020577223054410.2181366818533
0.0249.469820668455711.2835070932678
0.0356.443185991521411.8496200220061
0.0462.848289760388311.2518783602379
0.0568.29545198053629.96035649411646
0.0672.7886781298898.7622470721175
0.0776.53706867043868.17185699039367
0.0879.8228901224058.2685353275638
0.0982.90929643371678.88528284318072
0.185.99972131690979.87006851394902
0.1189.239210156796511.1723999356219
0.1292.732537558750912.7952352857327
0.1396.558463539619314.7179995189841
0.14100.77231180339716.8503282678283
0.15105.39953562066119.0299792292568
0.16110.42744983205121.0539915428038
0.17115.80173080041922.7247258064072
0.18121.43099314591923.8921387458855
0.19127.19899557909124.4818605533757
0.2132.98131806894624.5037082401174
0.21138.66231996713824.0391452734878
0.22144.14870897834423.2185028895765
0.23149.37752934453822.1923239558992
0.24154.31809419463921.1058591998496
0.25158.96877890464820.0782678969454
0.26163.35038919984819.1933820490349
0.27167.49802169580518.4936744117721
0.28171.45310677309617.9851646404881
0.29175.25686158896317.6448259812380
0.3178.94584303220617.4339805512226
0.31182.54977781133617.3116067777778
0.32186.09141965894217.2454916664739
0.33189.58788027565717.2172692352269
0.34193.05272513028017.2233582339193
0.35196.49812289255817.2722266048222
0.36199.93646907002917.3789429565161
0.37203.38112823574817.5567749204169
0.38206.84619938761617.8131895216403
0.39210.34544963935918.144420171127
0.4213.89073837837118.5333007742062
0.41217.49034147603518.9525334758855
0.42221.14757762931719.3666135721242
0.43224.86004948366119.7383231488639
0.44228.61966827594320.0336546813637
0.45232.41346818844020.2280271810283
0.46236.22507196783920.3074698017832
0.47240.036571442520.2704518623252
0.48243.83054939924320.1278722317144
0.49247.59198913973919.8997323422367
0.5251.30987621850819.6139715320598
0.51254.97836766913519.3021617964153
0.52258.59746507871418.9979025134884
0.53262.17316856406118.7347544334462
0.54265.71711316616518.5431725551266
0.55269.2457125519218.4489796765662
0.56272.77887464154918.4687808295998
0.57276.33841976964118.6095291405077
0.58279.94641971287818.8653686411293
0.59283.62376508855219.2209484573770
0.6287.38932759774419.6552941959764
0.61291.26007776556720.1481292174772
0.62295.25242069320120.6887801586044
0.63299.38481107467221.284730672633
0.64303.68141826833821.9663425748456
0.65308.17627620450322.7922507486355
0.66312.91704433376123.8455076097132
0.67317.96731781624925.2208624848634
0.68323.40645064227027.0079553406041
0.69329.32615684076829.2634469877738
0.7335.82373193784331.9909981720534
0.71342.99250453287435.1273907419900
0.72350.91092062872838.5446952481503
0.73359.63227056896342.0665388007204
0.74369.17729558331345.4913708615729
0.75379.53164388611848.6261108452252
0.76390.64938988100151.3146520578917
0.77402.46270157476853.4670900986313
0.78414.89642400456555.0755688930481
0.79427.88503704901956.2182530059267
0.8441.38834145777757.0477761407931
0.81455.40157119907757.7621944970501
0.82469.95577934692758.5530531455342
0.83485.10574265485859.5401280967211
0.84500.90557749346760.7066168112246
0.85517.37647917570461.8616263976915
0.86534.47525384952262.662352906825
0.87552.07462476748462.7019631209616
0.88569.96520799240261.6364772048019
0.89587.88574743064959.3083900851588
0.9605.58775644412155.8143468623222
0.91622.9493441192351.5314732906092
0.92640.16800108110247.1954506760891
0.93658.05543173234644.2228942242559
0.94678.36712068521145.2712047432691
0.95703.86786086984553.6462404168951
0.96737.54474382377969.3355324817864
0.97780.43080848683884.5551314335967
0.98828.4985442989384.6561472306499
0.99871.08386934803861.5332341157179

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 43.0205772230544 & 10.2181366818533 \tabularnewline
0.02 & 49.4698206684557 & 11.2835070932678 \tabularnewline
0.03 & 56.4431859915214 & 11.8496200220061 \tabularnewline
0.04 & 62.8482897603883 & 11.2518783602379 \tabularnewline
0.05 & 68.2954519805362 & 9.96035649411646 \tabularnewline
0.06 & 72.788678129889 & 8.7622470721175 \tabularnewline
0.07 & 76.5370686704386 & 8.17185699039367 \tabularnewline
0.08 & 79.822890122405 & 8.2685353275638 \tabularnewline
0.09 & 82.9092964337167 & 8.88528284318072 \tabularnewline
0.1 & 85.9997213169097 & 9.87006851394902 \tabularnewline
0.11 & 89.2392101567965 & 11.1723999356219 \tabularnewline
0.12 & 92.7325375587509 & 12.7952352857327 \tabularnewline
0.13 & 96.5584635396193 & 14.7179995189841 \tabularnewline
0.14 & 100.772311803397 & 16.8503282678283 \tabularnewline
0.15 & 105.399535620661 & 19.0299792292568 \tabularnewline
0.16 & 110.427449832051 & 21.0539915428038 \tabularnewline
0.17 & 115.801730800419 & 22.7247258064072 \tabularnewline
0.18 & 121.430993145919 & 23.8921387458855 \tabularnewline
0.19 & 127.198995579091 & 24.4818605533757 \tabularnewline
0.2 & 132.981318068946 & 24.5037082401174 \tabularnewline
0.21 & 138.662319967138 & 24.0391452734878 \tabularnewline
0.22 & 144.148708978344 & 23.2185028895765 \tabularnewline
0.23 & 149.377529344538 & 22.1923239558992 \tabularnewline
0.24 & 154.318094194639 & 21.1058591998496 \tabularnewline
0.25 & 158.968778904648 & 20.0782678969454 \tabularnewline
0.26 & 163.350389199848 & 19.1933820490349 \tabularnewline
0.27 & 167.498021695805 & 18.4936744117721 \tabularnewline
0.28 & 171.453106773096 & 17.9851646404881 \tabularnewline
0.29 & 175.256861588963 & 17.6448259812380 \tabularnewline
0.3 & 178.945843032206 & 17.4339805512226 \tabularnewline
0.31 & 182.549777811336 & 17.3116067777778 \tabularnewline
0.32 & 186.091419658942 & 17.2454916664739 \tabularnewline
0.33 & 189.587880275657 & 17.2172692352269 \tabularnewline
0.34 & 193.052725130280 & 17.2233582339193 \tabularnewline
0.35 & 196.498122892558 & 17.2722266048222 \tabularnewline
0.36 & 199.936469070029 & 17.3789429565161 \tabularnewline
0.37 & 203.381128235748 & 17.5567749204169 \tabularnewline
0.38 & 206.846199387616 & 17.8131895216403 \tabularnewline
0.39 & 210.345449639359 & 18.144420171127 \tabularnewline
0.4 & 213.890738378371 & 18.5333007742062 \tabularnewline
0.41 & 217.490341476035 & 18.9525334758855 \tabularnewline
0.42 & 221.147577629317 & 19.3666135721242 \tabularnewline
0.43 & 224.860049483661 & 19.7383231488639 \tabularnewline
0.44 & 228.619668275943 & 20.0336546813637 \tabularnewline
0.45 & 232.413468188440 & 20.2280271810283 \tabularnewline
0.46 & 236.225071967839 & 20.3074698017832 \tabularnewline
0.47 & 240.0365714425 & 20.2704518623252 \tabularnewline
0.48 & 243.830549399243 & 20.1278722317144 \tabularnewline
0.49 & 247.591989139739 & 19.8997323422367 \tabularnewline
0.5 & 251.309876218508 & 19.6139715320598 \tabularnewline
0.51 & 254.978367669135 & 19.3021617964153 \tabularnewline
0.52 & 258.597465078714 & 18.9979025134884 \tabularnewline
0.53 & 262.173168564061 & 18.7347544334462 \tabularnewline
0.54 & 265.717113166165 & 18.5431725551266 \tabularnewline
0.55 & 269.24571255192 & 18.4489796765662 \tabularnewline
0.56 & 272.778874641549 & 18.4687808295998 \tabularnewline
0.57 & 276.338419769641 & 18.6095291405077 \tabularnewline
0.58 & 279.946419712878 & 18.8653686411293 \tabularnewline
0.59 & 283.623765088552 & 19.2209484573770 \tabularnewline
0.6 & 287.389327597744 & 19.6552941959764 \tabularnewline
0.61 & 291.260077765567 & 20.1481292174772 \tabularnewline
0.62 & 295.252420693201 & 20.6887801586044 \tabularnewline
0.63 & 299.384811074672 & 21.284730672633 \tabularnewline
0.64 & 303.681418268338 & 21.9663425748456 \tabularnewline
0.65 & 308.176276204503 & 22.7922507486355 \tabularnewline
0.66 & 312.917044333761 & 23.8455076097132 \tabularnewline
0.67 & 317.967317816249 & 25.2208624848634 \tabularnewline
0.68 & 323.406450642270 & 27.0079553406041 \tabularnewline
0.69 & 329.326156840768 & 29.2634469877738 \tabularnewline
0.7 & 335.823731937843 & 31.9909981720534 \tabularnewline
0.71 & 342.992504532874 & 35.1273907419900 \tabularnewline
0.72 & 350.910920628728 & 38.5446952481503 \tabularnewline
0.73 & 359.632270568963 & 42.0665388007204 \tabularnewline
0.74 & 369.177295583313 & 45.4913708615729 \tabularnewline
0.75 & 379.531643886118 & 48.6261108452252 \tabularnewline
0.76 & 390.649389881001 & 51.3146520578917 \tabularnewline
0.77 & 402.462701574768 & 53.4670900986313 \tabularnewline
0.78 & 414.896424004565 & 55.0755688930481 \tabularnewline
0.79 & 427.885037049019 & 56.2182530059267 \tabularnewline
0.8 & 441.388341457777 & 57.0477761407931 \tabularnewline
0.81 & 455.401571199077 & 57.7621944970501 \tabularnewline
0.82 & 469.955779346927 & 58.5530531455342 \tabularnewline
0.83 & 485.105742654858 & 59.5401280967211 \tabularnewline
0.84 & 500.905577493467 & 60.7066168112246 \tabularnewline
0.85 & 517.376479175704 & 61.8616263976915 \tabularnewline
0.86 & 534.475253849522 & 62.662352906825 \tabularnewline
0.87 & 552.074624767484 & 62.7019631209616 \tabularnewline
0.88 & 569.965207992402 & 61.6364772048019 \tabularnewline
0.89 & 587.885747430649 & 59.3083900851588 \tabularnewline
0.9 & 605.587756444121 & 55.8143468623222 \tabularnewline
0.91 & 622.94934411923 & 51.5314732906092 \tabularnewline
0.92 & 640.168001081102 & 47.1954506760891 \tabularnewline
0.93 & 658.055431732346 & 44.2228942242559 \tabularnewline
0.94 & 678.367120685211 & 45.2712047432691 \tabularnewline
0.95 & 703.867860869845 & 53.6462404168951 \tabularnewline
0.96 & 737.544743823779 & 69.3355324817864 \tabularnewline
0.97 & 780.430808486838 & 84.5551314335967 \tabularnewline
0.98 & 828.49854429893 & 84.6561472306499 \tabularnewline
0.99 & 871.083869348038 & 61.5332341157179 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73927&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]43.0205772230544[/C][C]10.2181366818533[/C][/ROW]
[ROW][C]0.02[/C][C]49.4698206684557[/C][C]11.2835070932678[/C][/ROW]
[ROW][C]0.03[/C][C]56.4431859915214[/C][C]11.8496200220061[/C][/ROW]
[ROW][C]0.04[/C][C]62.8482897603883[/C][C]11.2518783602379[/C][/ROW]
[ROW][C]0.05[/C][C]68.2954519805362[/C][C]9.96035649411646[/C][/ROW]
[ROW][C]0.06[/C][C]72.788678129889[/C][C]8.7622470721175[/C][/ROW]
[ROW][C]0.07[/C][C]76.5370686704386[/C][C]8.17185699039367[/C][/ROW]
[ROW][C]0.08[/C][C]79.822890122405[/C][C]8.2685353275638[/C][/ROW]
[ROW][C]0.09[/C][C]82.9092964337167[/C][C]8.88528284318072[/C][/ROW]
[ROW][C]0.1[/C][C]85.9997213169097[/C][C]9.87006851394902[/C][/ROW]
[ROW][C]0.11[/C][C]89.2392101567965[/C][C]11.1723999356219[/C][/ROW]
[ROW][C]0.12[/C][C]92.7325375587509[/C][C]12.7952352857327[/C][/ROW]
[ROW][C]0.13[/C][C]96.5584635396193[/C][C]14.7179995189841[/C][/ROW]
[ROW][C]0.14[/C][C]100.772311803397[/C][C]16.8503282678283[/C][/ROW]
[ROW][C]0.15[/C][C]105.399535620661[/C][C]19.0299792292568[/C][/ROW]
[ROW][C]0.16[/C][C]110.427449832051[/C][C]21.0539915428038[/C][/ROW]
[ROW][C]0.17[/C][C]115.801730800419[/C][C]22.7247258064072[/C][/ROW]
[ROW][C]0.18[/C][C]121.430993145919[/C][C]23.8921387458855[/C][/ROW]
[ROW][C]0.19[/C][C]127.198995579091[/C][C]24.4818605533757[/C][/ROW]
[ROW][C]0.2[/C][C]132.981318068946[/C][C]24.5037082401174[/C][/ROW]
[ROW][C]0.21[/C][C]138.662319967138[/C][C]24.0391452734878[/C][/ROW]
[ROW][C]0.22[/C][C]144.148708978344[/C][C]23.2185028895765[/C][/ROW]
[ROW][C]0.23[/C][C]149.377529344538[/C][C]22.1923239558992[/C][/ROW]
[ROW][C]0.24[/C][C]154.318094194639[/C][C]21.1058591998496[/C][/ROW]
[ROW][C]0.25[/C][C]158.968778904648[/C][C]20.0782678969454[/C][/ROW]
[ROW][C]0.26[/C][C]163.350389199848[/C][C]19.1933820490349[/C][/ROW]
[ROW][C]0.27[/C][C]167.498021695805[/C][C]18.4936744117721[/C][/ROW]
[ROW][C]0.28[/C][C]171.453106773096[/C][C]17.9851646404881[/C][/ROW]
[ROW][C]0.29[/C][C]175.256861588963[/C][C]17.6448259812380[/C][/ROW]
[ROW][C]0.3[/C][C]178.945843032206[/C][C]17.4339805512226[/C][/ROW]
[ROW][C]0.31[/C][C]182.549777811336[/C][C]17.3116067777778[/C][/ROW]
[ROW][C]0.32[/C][C]186.091419658942[/C][C]17.2454916664739[/C][/ROW]
[ROW][C]0.33[/C][C]189.587880275657[/C][C]17.2172692352269[/C][/ROW]
[ROW][C]0.34[/C][C]193.052725130280[/C][C]17.2233582339193[/C][/ROW]
[ROW][C]0.35[/C][C]196.498122892558[/C][C]17.2722266048222[/C][/ROW]
[ROW][C]0.36[/C][C]199.936469070029[/C][C]17.3789429565161[/C][/ROW]
[ROW][C]0.37[/C][C]203.381128235748[/C][C]17.5567749204169[/C][/ROW]
[ROW][C]0.38[/C][C]206.846199387616[/C][C]17.8131895216403[/C][/ROW]
[ROW][C]0.39[/C][C]210.345449639359[/C][C]18.144420171127[/C][/ROW]
[ROW][C]0.4[/C][C]213.890738378371[/C][C]18.5333007742062[/C][/ROW]
[ROW][C]0.41[/C][C]217.490341476035[/C][C]18.9525334758855[/C][/ROW]
[ROW][C]0.42[/C][C]221.147577629317[/C][C]19.3666135721242[/C][/ROW]
[ROW][C]0.43[/C][C]224.860049483661[/C][C]19.7383231488639[/C][/ROW]
[ROW][C]0.44[/C][C]228.619668275943[/C][C]20.0336546813637[/C][/ROW]
[ROW][C]0.45[/C][C]232.413468188440[/C][C]20.2280271810283[/C][/ROW]
[ROW][C]0.46[/C][C]236.225071967839[/C][C]20.3074698017832[/C][/ROW]
[ROW][C]0.47[/C][C]240.0365714425[/C][C]20.2704518623252[/C][/ROW]
[ROW][C]0.48[/C][C]243.830549399243[/C][C]20.1278722317144[/C][/ROW]
[ROW][C]0.49[/C][C]247.591989139739[/C][C]19.8997323422367[/C][/ROW]
[ROW][C]0.5[/C][C]251.309876218508[/C][C]19.6139715320598[/C][/ROW]
[ROW][C]0.51[/C][C]254.978367669135[/C][C]19.3021617964153[/C][/ROW]
[ROW][C]0.52[/C][C]258.597465078714[/C][C]18.9979025134884[/C][/ROW]
[ROW][C]0.53[/C][C]262.173168564061[/C][C]18.7347544334462[/C][/ROW]
[ROW][C]0.54[/C][C]265.717113166165[/C][C]18.5431725551266[/C][/ROW]
[ROW][C]0.55[/C][C]269.24571255192[/C][C]18.4489796765662[/C][/ROW]
[ROW][C]0.56[/C][C]272.778874641549[/C][C]18.4687808295998[/C][/ROW]
[ROW][C]0.57[/C][C]276.338419769641[/C][C]18.6095291405077[/C][/ROW]
[ROW][C]0.58[/C][C]279.946419712878[/C][C]18.8653686411293[/C][/ROW]
[ROW][C]0.59[/C][C]283.623765088552[/C][C]19.2209484573770[/C][/ROW]
[ROW][C]0.6[/C][C]287.389327597744[/C][C]19.6552941959764[/C][/ROW]
[ROW][C]0.61[/C][C]291.260077765567[/C][C]20.1481292174772[/C][/ROW]
[ROW][C]0.62[/C][C]295.252420693201[/C][C]20.6887801586044[/C][/ROW]
[ROW][C]0.63[/C][C]299.384811074672[/C][C]21.284730672633[/C][/ROW]
[ROW][C]0.64[/C][C]303.681418268338[/C][C]21.9663425748456[/C][/ROW]
[ROW][C]0.65[/C][C]308.176276204503[/C][C]22.7922507486355[/C][/ROW]
[ROW][C]0.66[/C][C]312.917044333761[/C][C]23.8455076097132[/C][/ROW]
[ROW][C]0.67[/C][C]317.967317816249[/C][C]25.2208624848634[/C][/ROW]
[ROW][C]0.68[/C][C]323.406450642270[/C][C]27.0079553406041[/C][/ROW]
[ROW][C]0.69[/C][C]329.326156840768[/C][C]29.2634469877738[/C][/ROW]
[ROW][C]0.7[/C][C]335.823731937843[/C][C]31.9909981720534[/C][/ROW]
[ROW][C]0.71[/C][C]342.992504532874[/C][C]35.1273907419900[/C][/ROW]
[ROW][C]0.72[/C][C]350.910920628728[/C][C]38.5446952481503[/C][/ROW]
[ROW][C]0.73[/C][C]359.632270568963[/C][C]42.0665388007204[/C][/ROW]
[ROW][C]0.74[/C][C]369.177295583313[/C][C]45.4913708615729[/C][/ROW]
[ROW][C]0.75[/C][C]379.531643886118[/C][C]48.6261108452252[/C][/ROW]
[ROW][C]0.76[/C][C]390.649389881001[/C][C]51.3146520578917[/C][/ROW]
[ROW][C]0.77[/C][C]402.462701574768[/C][C]53.4670900986313[/C][/ROW]
[ROW][C]0.78[/C][C]414.896424004565[/C][C]55.0755688930481[/C][/ROW]
[ROW][C]0.79[/C][C]427.885037049019[/C][C]56.2182530059267[/C][/ROW]
[ROW][C]0.8[/C][C]441.388341457777[/C][C]57.0477761407931[/C][/ROW]
[ROW][C]0.81[/C][C]455.401571199077[/C][C]57.7621944970501[/C][/ROW]
[ROW][C]0.82[/C][C]469.955779346927[/C][C]58.5530531455342[/C][/ROW]
[ROW][C]0.83[/C][C]485.105742654858[/C][C]59.5401280967211[/C][/ROW]
[ROW][C]0.84[/C][C]500.905577493467[/C][C]60.7066168112246[/C][/ROW]
[ROW][C]0.85[/C][C]517.376479175704[/C][C]61.8616263976915[/C][/ROW]
[ROW][C]0.86[/C][C]534.475253849522[/C][C]62.662352906825[/C][/ROW]
[ROW][C]0.87[/C][C]552.074624767484[/C][C]62.7019631209616[/C][/ROW]
[ROW][C]0.88[/C][C]569.965207992402[/C][C]61.6364772048019[/C][/ROW]
[ROW][C]0.89[/C][C]587.885747430649[/C][C]59.3083900851588[/C][/ROW]
[ROW][C]0.9[/C][C]605.587756444121[/C][C]55.8143468623222[/C][/ROW]
[ROW][C]0.91[/C][C]622.94934411923[/C][C]51.5314732906092[/C][/ROW]
[ROW][C]0.92[/C][C]640.168001081102[/C][C]47.1954506760891[/C][/ROW]
[ROW][C]0.93[/C][C]658.055431732346[/C][C]44.2228942242559[/C][/ROW]
[ROW][C]0.94[/C][C]678.367120685211[/C][C]45.2712047432691[/C][/ROW]
[ROW][C]0.95[/C][C]703.867860869845[/C][C]53.6462404168951[/C][/ROW]
[ROW][C]0.96[/C][C]737.544743823779[/C][C]69.3355324817864[/C][/ROW]
[ROW][C]0.97[/C][C]780.430808486838[/C][C]84.5551314335967[/C][/ROW]
[ROW][C]0.98[/C][C]828.49854429893[/C][C]84.6561472306499[/C][/ROW]
[ROW][C]0.99[/C][C]871.083869348038[/C][C]61.5332341157179[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73927&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73927&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
0.0143.020577223054410.2181366818533
0.0249.469820668455711.2835070932678
0.0356.443185991521411.8496200220061
0.0462.848289760388311.2518783602379
0.0568.29545198053629.96035649411646
0.0672.7886781298898.7622470721175
0.0776.53706867043868.17185699039367
0.0879.8228901224058.2685353275638
0.0982.90929643371678.88528284318072
0.185.99972131690979.87006851394902
0.1189.239210156796511.1723999356219
0.1292.732537558750912.7952352857327
0.1396.558463539619314.7179995189841
0.14100.77231180339716.8503282678283
0.15105.39953562066119.0299792292568
0.16110.42744983205121.0539915428038
0.17115.80173080041922.7247258064072
0.18121.43099314591923.8921387458855
0.19127.19899557909124.4818605533757
0.2132.98131806894624.5037082401174
0.21138.66231996713824.0391452734878
0.22144.14870897834423.2185028895765
0.23149.37752934453822.1923239558992
0.24154.31809419463921.1058591998496
0.25158.96877890464820.0782678969454
0.26163.35038919984819.1933820490349
0.27167.49802169580518.4936744117721
0.28171.45310677309617.9851646404881
0.29175.25686158896317.6448259812380
0.3178.94584303220617.4339805512226
0.31182.54977781133617.3116067777778
0.32186.09141965894217.2454916664739
0.33189.58788027565717.2172692352269
0.34193.05272513028017.2233582339193
0.35196.49812289255817.2722266048222
0.36199.93646907002917.3789429565161
0.37203.38112823574817.5567749204169
0.38206.84619938761617.8131895216403
0.39210.34544963935918.144420171127
0.4213.89073837837118.5333007742062
0.41217.49034147603518.9525334758855
0.42221.14757762931719.3666135721242
0.43224.86004948366119.7383231488639
0.44228.61966827594320.0336546813637
0.45232.41346818844020.2280271810283
0.46236.22507196783920.3074698017832
0.47240.036571442520.2704518623252
0.48243.83054939924320.1278722317144
0.49247.59198913973919.8997323422367
0.5251.30987621850819.6139715320598
0.51254.97836766913519.3021617964153
0.52258.59746507871418.9979025134884
0.53262.17316856406118.7347544334462
0.54265.71711316616518.5431725551266
0.55269.2457125519218.4489796765662
0.56272.77887464154918.4687808295998
0.57276.33841976964118.6095291405077
0.58279.94641971287818.8653686411293
0.59283.62376508855219.2209484573770
0.6287.38932759774419.6552941959764
0.61291.26007776556720.1481292174772
0.62295.25242069320120.6887801586044
0.63299.38481107467221.284730672633
0.64303.68141826833821.9663425748456
0.65308.17627620450322.7922507486355
0.66312.91704433376123.8455076097132
0.67317.96731781624925.2208624848634
0.68323.40645064227027.0079553406041
0.69329.32615684076829.2634469877738
0.7335.82373193784331.9909981720534
0.71342.99250453287435.1273907419900
0.72350.91092062872838.5446952481503
0.73359.63227056896342.0665388007204
0.74369.17729558331345.4913708615729
0.75379.53164388611848.6261108452252
0.76390.64938988100151.3146520578917
0.77402.46270157476853.4670900986313
0.78414.89642400456555.0755688930481
0.79427.88503704901956.2182530059267
0.8441.38834145777757.0477761407931
0.81455.40157119907757.7621944970501
0.82469.95577934692758.5530531455342
0.83485.10574265485859.5401280967211
0.84500.90557749346760.7066168112246
0.85517.37647917570461.8616263976915
0.86534.47525384952262.662352906825
0.87552.07462476748462.7019631209616
0.88569.96520799240261.6364772048019
0.89587.88574743064959.3083900851588
0.9605.58775644412155.8143468623222
0.91622.9493441192351.5314732906092
0.92640.16800108110247.1954506760891
0.93658.05543173234644.2228942242559
0.94678.36712068521145.2712047432691
0.95703.86786086984553.6462404168951
0.96737.54474382377969.3355324817864
0.97780.43080848683884.5551314335967
0.98828.4985442989384.6561472306499
0.99871.08386934803861.5332341157179



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')