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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 computationTue, 01 Oct 2013 13:43:13 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/01/t138064944925vcouunub9wlle.htm/, Retrieved Sun, 19 Apr 2026 20:42:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212589, Retrieved Sun, 19 Apr 2026 20:42:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact349

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] [] [2013-10-01 17:43:13] [f1eb0c717bff20e026fad887906ea64a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
155.28
173.24
180.16
181.52
182.25
182.19
182
181.65
180.07
182.62
180.38
181.15
180.5
181.14
180.93
211.91
223.81
226.88
226.8
231.81
232.06
232.32
228.37
226.31
225.72
219.98
219.31
215.19
213.81
213.7
213.6
213.52
218.39
219.97
221.09
219.17
219.17
218.45
216.88
216.19
214.59
269.87
272.71
280.35
274.5
268.86
261.7
263.98
263.01
262.79
263.59
267
267.89
267.86
266.84
268.24
267.67
269.07
270.87
271.68
271.63
275.21
276.66
276.08
278.3
279.06
279.28
279.12
262.72
262.55
260.7
259.14
260.61
260.53
259.07
257.01
257.08
256.83
256.75
257.61
258.58
259.57
259.29
258.51

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212589&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212589&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212589&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01161.37823687208413.8798913956149
0.02169.0077459121358.95378360305306
0.03174.6290904780225.11407244642183
0.04177.8166195765352.7010801394692
0.05179.406384002451.39258668971118
0.06180.1848789743750.815890410150608
0.07180.6180505067430.685087849947115
0.08180.9445636762390.830286216968317
0.09181.2934327747891.22595454638583
0.1181.7571701779091.93176350239119
0.11182.4253580002023.01050555156898
0.12183.3910962807734.47985516485818
0.13184.7402668694696.27568085527189
0.14186.5321478278988.24120083215752
0.15188.77982667648810.1444309949408
0.16191.43825956962711.7261291988706
0.17194.40527366639912.7628667660872
0.18197.53639295867513.1212552525917
0.19200.66959728257412.7876945118876
0.2203.65293901834411.863101058464
0.21206.36754617459310.5296898346788
0.22208.7408058423789.0000968142049
0.23210.74820089167.47261108753611
0.24212.405753799726.09689178301931
0.25213.7571214654714.96200054775536
0.26214.8597132030944.09703585420386
0.27215.7731519442133.4878503423532
0.28216.551725350063.09308694780682
0.29217.2409065790482.86634646424425
0.3217.8770042190472.76857927448951
0.31218.4886299160472.77449731399775
0.32219.0988092621082.86958866303852
0.33219.7269637061673.04666341158823
0.34220.3904308411593.30173037035569
0.35221.1055164591213.63250680304253
0.36221.8882228312174.03974590421991
0.37222.7547856883454.52718923060392
0.38223.7220360352655.10213326187341
0.39224.8074609325325.77186740129396
0.4226.0287450267346.54103738347878
0.41227.4025845340577.4042853364918
0.42228.9426938632068.34129262957135
0.43230.6571465919229.31389543902057
0.44232.5454452111210.266625251251
0.45234.5959163608111.1287987665798
0.46236.78410364316911.8266297699373
0.47239.07273278448212.2888075204046
0.48241.41355740369312.4616365972552
0.49243.75101423139312.3156186171927
0.5246.02721953012111.8508662965711
0.51248.18752986188611.1008265444436
0.52250.18575435989410.1231171166758
0.53251.9881779062058.99429903196613
0.54253.575811743247.79814093933781
0.55254.9446568675156.61522036714012
0.56256.1041479385015.51310081154003
0.57257.0742493667944.54138476580899
0.58257.8818407722713.73008402737208
0.59258.5570407342453.08889351282812
0.6259.1300014909232.61267491519454
0.61259.6285145037932.28229301026341
0.62260.0765548503212.07212516593012
0.63260.4937075933611.95430090559594
0.64260.8952885763491.90294033230441
0.65261.292903505661.89844651383997
0.66261.6951779086621.92677581566851
0.67262.1084263405181.97852855808775
0.68262.5371008919832.04688718268486
0.69262.9839548459732.12484962009657
0.7263.4499622384392.20419421333914
0.71263.9341276361662.27434927915475
0.72264.4333781997362.32396990247837
0.73264.9427301567822.34358991802379
0.74265.4558546529262.32612939680249
0.75265.9660449888622.27145149316346
0.76266.4674427534492.18565497886727
0.77266.9562634582622.08060394443498
0.78267.4317201718811.97386704610995
0.79267.8964016901681.88292314463814
0.8268.3560087397451.82220558493643
0.81268.8185379168971.79978014646355
0.82269.2931551558581.81552961302158
0.83269.7890510778241.86381953807886
0.84270.3144939258611.93549812549683
0.85270.8761338331022.02096946258845
0.86271.4784683633172.11056257587638
0.87272.123363829032.19386724945232
0.88272.8096628301172.25830830908592
0.89273.5330572056692.29114905542717
0.9274.2863131351572.28291690052688
0.91275.0594691265122.2303509242988
0.92275.8391162808972.13342155871173
0.93276.606209591251.98612659304151
0.94277.3339622887591.7712951880794
0.95277.9908794476121.47238785481332
0.96278.5556682041411.10753482236641
0.97279.0430272193360.765516478137301
0.98279.5118175185460.630130751211478
0.99279.9933256479450.812011068465384

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 161.378236872084 & 13.8798913956149 \tabularnewline
0.02 & 169.007745912135 & 8.95378360305306 \tabularnewline
0.03 & 174.629090478022 & 5.11407244642183 \tabularnewline
0.04 & 177.816619576535 & 2.7010801394692 \tabularnewline
0.05 & 179.40638400245 & 1.39258668971118 \tabularnewline
0.06 & 180.184878974375 & 0.815890410150608 \tabularnewline
0.07 & 180.618050506743 & 0.685087849947115 \tabularnewline
0.08 & 180.944563676239 & 0.830286216968317 \tabularnewline
0.09 & 181.293432774789 & 1.22595454638583 \tabularnewline
0.1 & 181.757170177909 & 1.93176350239119 \tabularnewline
0.11 & 182.425358000202 & 3.01050555156898 \tabularnewline
0.12 & 183.391096280773 & 4.47985516485818 \tabularnewline
0.13 & 184.740266869469 & 6.27568085527189 \tabularnewline
0.14 & 186.532147827898 & 8.24120083215752 \tabularnewline
0.15 & 188.779826676488 & 10.1444309949408 \tabularnewline
0.16 & 191.438259569627 & 11.7261291988706 \tabularnewline
0.17 & 194.405273666399 & 12.7628667660872 \tabularnewline
0.18 & 197.536392958675 & 13.1212552525917 \tabularnewline
0.19 & 200.669597282574 & 12.7876945118876 \tabularnewline
0.2 & 203.652939018344 & 11.863101058464 \tabularnewline
0.21 & 206.367546174593 & 10.5296898346788 \tabularnewline
0.22 & 208.740805842378 & 9.0000968142049 \tabularnewline
0.23 & 210.7482008916 & 7.47261108753611 \tabularnewline
0.24 & 212.40575379972 & 6.09689178301931 \tabularnewline
0.25 & 213.757121465471 & 4.96200054775536 \tabularnewline
0.26 & 214.859713203094 & 4.09703585420386 \tabularnewline
0.27 & 215.773151944213 & 3.4878503423532 \tabularnewline
0.28 & 216.55172535006 & 3.09308694780682 \tabularnewline
0.29 & 217.240906579048 & 2.86634646424425 \tabularnewline
0.3 & 217.877004219047 & 2.76857927448951 \tabularnewline
0.31 & 218.488629916047 & 2.77449731399775 \tabularnewline
0.32 & 219.098809262108 & 2.86958866303852 \tabularnewline
0.33 & 219.726963706167 & 3.04666341158823 \tabularnewline
0.34 & 220.390430841159 & 3.30173037035569 \tabularnewline
0.35 & 221.105516459121 & 3.63250680304253 \tabularnewline
0.36 & 221.888222831217 & 4.03974590421991 \tabularnewline
0.37 & 222.754785688345 & 4.52718923060392 \tabularnewline
0.38 & 223.722036035265 & 5.10213326187341 \tabularnewline
0.39 & 224.807460932532 & 5.77186740129396 \tabularnewline
0.4 & 226.028745026734 & 6.54103738347878 \tabularnewline
0.41 & 227.402584534057 & 7.4042853364918 \tabularnewline
0.42 & 228.942693863206 & 8.34129262957135 \tabularnewline
0.43 & 230.657146591922 & 9.31389543902057 \tabularnewline
0.44 & 232.54544521112 & 10.266625251251 \tabularnewline
0.45 & 234.59591636081 & 11.1287987665798 \tabularnewline
0.46 & 236.784103643169 & 11.8266297699373 \tabularnewline
0.47 & 239.072732784482 & 12.2888075204046 \tabularnewline
0.48 & 241.413557403693 & 12.4616365972552 \tabularnewline
0.49 & 243.751014231393 & 12.3156186171927 \tabularnewline
0.5 & 246.027219530121 & 11.8508662965711 \tabularnewline
0.51 & 248.187529861886 & 11.1008265444436 \tabularnewline
0.52 & 250.185754359894 & 10.1231171166758 \tabularnewline
0.53 & 251.988177906205 & 8.99429903196613 \tabularnewline
0.54 & 253.57581174324 & 7.79814093933781 \tabularnewline
0.55 & 254.944656867515 & 6.61522036714012 \tabularnewline
0.56 & 256.104147938501 & 5.51310081154003 \tabularnewline
0.57 & 257.074249366794 & 4.54138476580899 \tabularnewline
0.58 & 257.881840772271 & 3.73008402737208 \tabularnewline
0.59 & 258.557040734245 & 3.08889351282812 \tabularnewline
0.6 & 259.130001490923 & 2.61267491519454 \tabularnewline
0.61 & 259.628514503793 & 2.28229301026341 \tabularnewline
0.62 & 260.076554850321 & 2.07212516593012 \tabularnewline
0.63 & 260.493707593361 & 1.95430090559594 \tabularnewline
0.64 & 260.895288576349 & 1.90294033230441 \tabularnewline
0.65 & 261.29290350566 & 1.89844651383997 \tabularnewline
0.66 & 261.695177908662 & 1.92677581566851 \tabularnewline
0.67 & 262.108426340518 & 1.97852855808775 \tabularnewline
0.68 & 262.537100891983 & 2.04688718268486 \tabularnewline
0.69 & 262.983954845973 & 2.12484962009657 \tabularnewline
0.7 & 263.449962238439 & 2.20419421333914 \tabularnewline
0.71 & 263.934127636166 & 2.27434927915475 \tabularnewline
0.72 & 264.433378199736 & 2.32396990247837 \tabularnewline
0.73 & 264.942730156782 & 2.34358991802379 \tabularnewline
0.74 & 265.455854652926 & 2.32612939680249 \tabularnewline
0.75 & 265.966044988862 & 2.27145149316346 \tabularnewline
0.76 & 266.467442753449 & 2.18565497886727 \tabularnewline
0.77 & 266.956263458262 & 2.08060394443498 \tabularnewline
0.78 & 267.431720171881 & 1.97386704610995 \tabularnewline
0.79 & 267.896401690168 & 1.88292314463814 \tabularnewline
0.8 & 268.356008739745 & 1.82220558493643 \tabularnewline
0.81 & 268.818537916897 & 1.79978014646355 \tabularnewline
0.82 & 269.293155155858 & 1.81552961302158 \tabularnewline
0.83 & 269.789051077824 & 1.86381953807886 \tabularnewline
0.84 & 270.314493925861 & 1.93549812549683 \tabularnewline
0.85 & 270.876133833102 & 2.02096946258845 \tabularnewline
0.86 & 271.478468363317 & 2.11056257587638 \tabularnewline
0.87 & 272.12336382903 & 2.19386724945232 \tabularnewline
0.88 & 272.809662830117 & 2.25830830908592 \tabularnewline
0.89 & 273.533057205669 & 2.29114905542717 \tabularnewline
0.9 & 274.286313135157 & 2.28291690052688 \tabularnewline
0.91 & 275.059469126512 & 2.2303509242988 \tabularnewline
0.92 & 275.839116280897 & 2.13342155871173 \tabularnewline
0.93 & 276.60620959125 & 1.98612659304151 \tabularnewline
0.94 & 277.333962288759 & 1.7712951880794 \tabularnewline
0.95 & 277.990879447612 & 1.47238785481332 \tabularnewline
0.96 & 278.555668204141 & 1.10753482236641 \tabularnewline
0.97 & 279.043027219336 & 0.765516478137301 \tabularnewline
0.98 & 279.511817518546 & 0.630130751211478 \tabularnewline
0.99 & 279.993325647945 & 0.812011068465384 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212589&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]161.378236872084[/C][C]13.8798913956149[/C][/ROW]
[ROW][C]0.02[/C][C]169.007745912135[/C][C]8.95378360305306[/C][/ROW]
[ROW][C]0.03[/C][C]174.629090478022[/C][C]5.11407244642183[/C][/ROW]
[ROW][C]0.04[/C][C]177.816619576535[/C][C]2.7010801394692[/C][/ROW]
[ROW][C]0.05[/C][C]179.40638400245[/C][C]1.39258668971118[/C][/ROW]
[ROW][C]0.06[/C][C]180.184878974375[/C][C]0.815890410150608[/C][/ROW]
[ROW][C]0.07[/C][C]180.618050506743[/C][C]0.685087849947115[/C][/ROW]
[ROW][C]0.08[/C][C]180.944563676239[/C][C]0.830286216968317[/C][/ROW]
[ROW][C]0.09[/C][C]181.293432774789[/C][C]1.22595454638583[/C][/ROW]
[ROW][C]0.1[/C][C]181.757170177909[/C][C]1.93176350239119[/C][/ROW]
[ROW][C]0.11[/C][C]182.425358000202[/C][C]3.01050555156898[/C][/ROW]
[ROW][C]0.12[/C][C]183.391096280773[/C][C]4.47985516485818[/C][/ROW]
[ROW][C]0.13[/C][C]184.740266869469[/C][C]6.27568085527189[/C][/ROW]
[ROW][C]0.14[/C][C]186.532147827898[/C][C]8.24120083215752[/C][/ROW]
[ROW][C]0.15[/C][C]188.779826676488[/C][C]10.1444309949408[/C][/ROW]
[ROW][C]0.16[/C][C]191.438259569627[/C][C]11.7261291988706[/C][/ROW]
[ROW][C]0.17[/C][C]194.405273666399[/C][C]12.7628667660872[/C][/ROW]
[ROW][C]0.18[/C][C]197.536392958675[/C][C]13.1212552525917[/C][/ROW]
[ROW][C]0.19[/C][C]200.669597282574[/C][C]12.7876945118876[/C][/ROW]
[ROW][C]0.2[/C][C]203.652939018344[/C][C]11.863101058464[/C][/ROW]
[ROW][C]0.21[/C][C]206.367546174593[/C][C]10.5296898346788[/C][/ROW]
[ROW][C]0.22[/C][C]208.740805842378[/C][C]9.0000968142049[/C][/ROW]
[ROW][C]0.23[/C][C]210.7482008916[/C][C]7.47261108753611[/C][/ROW]
[ROW][C]0.24[/C][C]212.40575379972[/C][C]6.09689178301931[/C][/ROW]
[ROW][C]0.25[/C][C]213.757121465471[/C][C]4.96200054775536[/C][/ROW]
[ROW][C]0.26[/C][C]214.859713203094[/C][C]4.09703585420386[/C][/ROW]
[ROW][C]0.27[/C][C]215.773151944213[/C][C]3.4878503423532[/C][/ROW]
[ROW][C]0.28[/C][C]216.55172535006[/C][C]3.09308694780682[/C][/ROW]
[ROW][C]0.29[/C][C]217.240906579048[/C][C]2.86634646424425[/C][/ROW]
[ROW][C]0.3[/C][C]217.877004219047[/C][C]2.76857927448951[/C][/ROW]
[ROW][C]0.31[/C][C]218.488629916047[/C][C]2.77449731399775[/C][/ROW]
[ROW][C]0.32[/C][C]219.098809262108[/C][C]2.86958866303852[/C][/ROW]
[ROW][C]0.33[/C][C]219.726963706167[/C][C]3.04666341158823[/C][/ROW]
[ROW][C]0.34[/C][C]220.390430841159[/C][C]3.30173037035569[/C][/ROW]
[ROW][C]0.35[/C][C]221.105516459121[/C][C]3.63250680304253[/C][/ROW]
[ROW][C]0.36[/C][C]221.888222831217[/C][C]4.03974590421991[/C][/ROW]
[ROW][C]0.37[/C][C]222.754785688345[/C][C]4.52718923060392[/C][/ROW]
[ROW][C]0.38[/C][C]223.722036035265[/C][C]5.10213326187341[/C][/ROW]
[ROW][C]0.39[/C][C]224.807460932532[/C][C]5.77186740129396[/C][/ROW]
[ROW][C]0.4[/C][C]226.028745026734[/C][C]6.54103738347878[/C][/ROW]
[ROW][C]0.41[/C][C]227.402584534057[/C][C]7.4042853364918[/C][/ROW]
[ROW][C]0.42[/C][C]228.942693863206[/C][C]8.34129262957135[/C][/ROW]
[ROW][C]0.43[/C][C]230.657146591922[/C][C]9.31389543902057[/C][/ROW]
[ROW][C]0.44[/C][C]232.54544521112[/C][C]10.266625251251[/C][/ROW]
[ROW][C]0.45[/C][C]234.59591636081[/C][C]11.1287987665798[/C][/ROW]
[ROW][C]0.46[/C][C]236.784103643169[/C][C]11.8266297699373[/C][/ROW]
[ROW][C]0.47[/C][C]239.072732784482[/C][C]12.2888075204046[/C][/ROW]
[ROW][C]0.48[/C][C]241.413557403693[/C][C]12.4616365972552[/C][/ROW]
[ROW][C]0.49[/C][C]243.751014231393[/C][C]12.3156186171927[/C][/ROW]
[ROW][C]0.5[/C][C]246.027219530121[/C][C]11.8508662965711[/C][/ROW]
[ROW][C]0.51[/C][C]248.187529861886[/C][C]11.1008265444436[/C][/ROW]
[ROW][C]0.52[/C][C]250.185754359894[/C][C]10.1231171166758[/C][/ROW]
[ROW][C]0.53[/C][C]251.988177906205[/C][C]8.99429903196613[/C][/ROW]
[ROW][C]0.54[/C][C]253.57581174324[/C][C]7.79814093933781[/C][/ROW]
[ROW][C]0.55[/C][C]254.944656867515[/C][C]6.61522036714012[/C][/ROW]
[ROW][C]0.56[/C][C]256.104147938501[/C][C]5.51310081154003[/C][/ROW]
[ROW][C]0.57[/C][C]257.074249366794[/C][C]4.54138476580899[/C][/ROW]
[ROW][C]0.58[/C][C]257.881840772271[/C][C]3.73008402737208[/C][/ROW]
[ROW][C]0.59[/C][C]258.557040734245[/C][C]3.08889351282812[/C][/ROW]
[ROW][C]0.6[/C][C]259.130001490923[/C][C]2.61267491519454[/C][/ROW]
[ROW][C]0.61[/C][C]259.628514503793[/C][C]2.28229301026341[/C][/ROW]
[ROW][C]0.62[/C][C]260.076554850321[/C][C]2.07212516593012[/C][/ROW]
[ROW][C]0.63[/C][C]260.493707593361[/C][C]1.95430090559594[/C][/ROW]
[ROW][C]0.64[/C][C]260.895288576349[/C][C]1.90294033230441[/C][/ROW]
[ROW][C]0.65[/C][C]261.29290350566[/C][C]1.89844651383997[/C][/ROW]
[ROW][C]0.66[/C][C]261.695177908662[/C][C]1.92677581566851[/C][/ROW]
[ROW][C]0.67[/C][C]262.108426340518[/C][C]1.97852855808775[/C][/ROW]
[ROW][C]0.68[/C][C]262.537100891983[/C][C]2.04688718268486[/C][/ROW]
[ROW][C]0.69[/C][C]262.983954845973[/C][C]2.12484962009657[/C][/ROW]
[ROW][C]0.7[/C][C]263.449962238439[/C][C]2.20419421333914[/C][/ROW]
[ROW][C]0.71[/C][C]263.934127636166[/C][C]2.27434927915475[/C][/ROW]
[ROW][C]0.72[/C][C]264.433378199736[/C][C]2.32396990247837[/C][/ROW]
[ROW][C]0.73[/C][C]264.942730156782[/C][C]2.34358991802379[/C][/ROW]
[ROW][C]0.74[/C][C]265.455854652926[/C][C]2.32612939680249[/C][/ROW]
[ROW][C]0.75[/C][C]265.966044988862[/C][C]2.27145149316346[/C][/ROW]
[ROW][C]0.76[/C][C]266.467442753449[/C][C]2.18565497886727[/C][/ROW]
[ROW][C]0.77[/C][C]266.956263458262[/C][C]2.08060394443498[/C][/ROW]
[ROW][C]0.78[/C][C]267.431720171881[/C][C]1.97386704610995[/C][/ROW]
[ROW][C]0.79[/C][C]267.896401690168[/C][C]1.88292314463814[/C][/ROW]
[ROW][C]0.8[/C][C]268.356008739745[/C][C]1.82220558493643[/C][/ROW]
[ROW][C]0.81[/C][C]268.818537916897[/C][C]1.79978014646355[/C][/ROW]
[ROW][C]0.82[/C][C]269.293155155858[/C][C]1.81552961302158[/C][/ROW]
[ROW][C]0.83[/C][C]269.789051077824[/C][C]1.86381953807886[/C][/ROW]
[ROW][C]0.84[/C][C]270.314493925861[/C][C]1.93549812549683[/C][/ROW]
[ROW][C]0.85[/C][C]270.876133833102[/C][C]2.02096946258845[/C][/ROW]
[ROW][C]0.86[/C][C]271.478468363317[/C][C]2.11056257587638[/C][/ROW]
[ROW][C]0.87[/C][C]272.12336382903[/C][C]2.19386724945232[/C][/ROW]
[ROW][C]0.88[/C][C]272.809662830117[/C][C]2.25830830908592[/C][/ROW]
[ROW][C]0.89[/C][C]273.533057205669[/C][C]2.29114905542717[/C][/ROW]
[ROW][C]0.9[/C][C]274.286313135157[/C][C]2.28291690052688[/C][/ROW]
[ROW][C]0.91[/C][C]275.059469126512[/C][C]2.2303509242988[/C][/ROW]
[ROW][C]0.92[/C][C]275.839116280897[/C][C]2.13342155871173[/C][/ROW]
[ROW][C]0.93[/C][C]276.60620959125[/C][C]1.98612659304151[/C][/ROW]
[ROW][C]0.94[/C][C]277.333962288759[/C][C]1.7712951880794[/C][/ROW]
[ROW][C]0.95[/C][C]277.990879447612[/C][C]1.47238785481332[/C][/ROW]
[ROW][C]0.96[/C][C]278.555668204141[/C][C]1.10753482236641[/C][/ROW]
[ROW][C]0.97[/C][C]279.043027219336[/C][C]0.765516478137301[/C][/ROW]
[ROW][C]0.98[/C][C]279.511817518546[/C][C]0.630130751211478[/C][/ROW]
[ROW][C]0.99[/C][C]279.993325647945[/C][C]0.812011068465384[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212589&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212589&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
0.01161.37823687208413.8798913956149
0.02169.0077459121358.95378360305306
0.03174.6290904780225.11407244642183
0.04177.8166195765352.7010801394692
0.05179.406384002451.39258668971118
0.06180.1848789743750.815890410150608
0.07180.6180505067430.685087849947115
0.08180.9445636762390.830286216968317
0.09181.2934327747891.22595454638583
0.1181.7571701779091.93176350239119
0.11182.4253580002023.01050555156898
0.12183.3910962807734.47985516485818
0.13184.7402668694696.27568085527189
0.14186.5321478278988.24120083215752
0.15188.77982667648810.1444309949408
0.16191.43825956962711.7261291988706
0.17194.40527366639912.7628667660872
0.18197.53639295867513.1212552525917
0.19200.66959728257412.7876945118876
0.2203.65293901834411.863101058464
0.21206.36754617459310.5296898346788
0.22208.7408058423789.0000968142049
0.23210.74820089167.47261108753611
0.24212.405753799726.09689178301931
0.25213.7571214654714.96200054775536
0.26214.8597132030944.09703585420386
0.27215.7731519442133.4878503423532
0.28216.551725350063.09308694780682
0.29217.2409065790482.86634646424425
0.3217.8770042190472.76857927448951
0.31218.4886299160472.77449731399775
0.32219.0988092621082.86958866303852
0.33219.7269637061673.04666341158823
0.34220.3904308411593.30173037035569
0.35221.1055164591213.63250680304253
0.36221.8882228312174.03974590421991
0.37222.7547856883454.52718923060392
0.38223.7220360352655.10213326187341
0.39224.8074609325325.77186740129396
0.4226.0287450267346.54103738347878
0.41227.4025845340577.4042853364918
0.42228.9426938632068.34129262957135
0.43230.6571465919229.31389543902057
0.44232.5454452111210.266625251251
0.45234.5959163608111.1287987665798
0.46236.78410364316911.8266297699373
0.47239.07273278448212.2888075204046
0.48241.41355740369312.4616365972552
0.49243.75101423139312.3156186171927
0.5246.02721953012111.8508662965711
0.51248.18752986188611.1008265444436
0.52250.18575435989410.1231171166758
0.53251.9881779062058.99429903196613
0.54253.575811743247.79814093933781
0.55254.9446568675156.61522036714012
0.56256.1041479385015.51310081154003
0.57257.0742493667944.54138476580899
0.58257.8818407722713.73008402737208
0.59258.5570407342453.08889351282812
0.6259.1300014909232.61267491519454
0.61259.6285145037932.28229301026341
0.62260.0765548503212.07212516593012
0.63260.4937075933611.95430090559594
0.64260.8952885763491.90294033230441
0.65261.292903505661.89844651383997
0.66261.6951779086621.92677581566851
0.67262.1084263405181.97852855808775
0.68262.5371008919832.04688718268486
0.69262.9839548459732.12484962009657
0.7263.4499622384392.20419421333914
0.71263.9341276361662.27434927915475
0.72264.4333781997362.32396990247837
0.73264.9427301567822.34358991802379
0.74265.4558546529262.32612939680249
0.75265.9660449888622.27145149316346
0.76266.4674427534492.18565497886727
0.77266.9562634582622.08060394443498
0.78267.4317201718811.97386704610995
0.79267.8964016901681.88292314463814
0.8268.3560087397451.82220558493643
0.81268.8185379168971.79978014646355
0.82269.2931551558581.81552961302158
0.83269.7890510778241.86381953807886
0.84270.3144939258611.93549812549683
0.85270.8761338331022.02096946258845
0.86271.4784683633172.11056257587638
0.87272.123363829032.19386724945232
0.88272.8096628301172.25830830908592
0.89273.5330572056692.29114905542717
0.9274.2863131351572.28291690052688
0.91275.0594691265122.2303509242988
0.92275.8391162808972.13342155871173
0.93276.606209591251.98612659304151
0.94277.3339622887591.7712951880794
0.95277.9908794476121.47238785481332
0.96278.5556682041411.10753482236641
0.97279.0430272193360.765516478137301
0.98279.5118175185460.630130751211478
0.99279.9933256479450.812011068465384


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):
par3 <- '0.1'
par2 <- '1'
par1 <- '0.1'
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')