FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 17 Oct 2008 10:51:50 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/17/t1224262351bniq3g6vmqhde6z.htm/, Retrieved Wed, 22 May 2024 11:54:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16510, Retrieved Wed, 22 May 2024 11:54:53 +0000
QR Codes:

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

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [harrel davis perc...] [2008-10-17 16:51:50] [314f9a525820ae2bc37b608258bd4c0b] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.9808
0.9811
1.0014
1.0183
1.0622
1.0773
1.0807
1.0848
1.1582
1.1663
1.1372
1.1139
1.1222
1.1692
1.1702
1.2286
1.2613
1.2646
1.2262
1.1985
1.2007
1.2138
1.2266
1.2176
1.2218
1.249
1.2991
1.3408
1.3119
1.3014
1.3201
1.2938
1.2694
1.2165
1.2037
1.2292
1.2256
1.2015
1.1786
1.1856
1.2103
1.1938
1.202
1.2271
1.277
1.265
1.2684
1.2811
1.2727
1.2611
1.2881
1.3213
1.2999
1.3074
1.3242
1.3516
1.3511
1.3419
1.3716
1.3622
1.3896
1.4227
1.4684
1.457
1.4718
1.4748
1.5527
1.575
1.5557
1.5553
1.577
1.4975

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16510&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16510&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16510&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.9833187996365490.00742761375530451
0.020.9896617655095620.0173252081612991
0.030.9998572631601740.0262004707511207
0.041.012848900115230.0323755675780478
0.051.027211550605250.0354384237157870
0.061.041688764008980.035804819092188
0.071.055447716109160.0345542292454811
0.081.068121506254740.0329817553412264
0.091.079713055016390.0320200723151748
0.11.090429926444170.0319025789862481
0.111.100520683450570.0322934489476895
0.121.110164758655450.0326760905266372
0.131.119432306417180.0326410325016911
0.141.128299400376780.0319919367818451
0.151.136690485035130.0307309271381385
0.161.144522752384430.0289909972407838
0.171.151737555359990.026977402290558
0.181.158314488148710.0248936456444126
0.191.164270739080070.0228975116654164
0.21.169651373190840.0210929054679623
0.211.174516401531980.0195057485995970
0.221.178929114577680.0181187393246989
0.231.182948187413620.0168909596777315
0.241.186624171284950.01577780320755
0.251.189999578868250.0147567064393348
0.261.193111038793740.0138272679784384
0.271.195991925749260.0130001705901279
0.281.198674291430550.0122950009354382
0.291.201189568781730.0117253266500795
0.31.203568142568110.0112941343694513
0.311.205838294956680.0109833096961776
0.321.208025174802610.0107737237922017
0.331.210150331278770.0106419508964682
0.341.212232086161980.0105706511238898
0.351.214286703895290.0105555967972772
0.361.216330049222440.0106034212803859
0.371.218379260226250.0107371823563599
0.381.220453934480350.0109833482967873
0.391.222576420992700.0113716391407664
0.41.224771001874280.0119132860331565
0.411.227061992847970.0126072606595510
0.421.229471041618990.0134280507396238
0.431.232014107715870.014323028060608
0.441.234698722686130.0152289479672901
0.451.237522125729920.0160743061632274
0.461.240470739439940.0167884413135165
0.471.243521212866940.0173148495084510
0.481.246642960227150.0176182541023949
0.491.249801826363920.0176926890901494
0.51.252964280872260.0175574742394165
0.511.256101434381260.0172535626357915
0.521.259192208222510.0168453768071121
0.531.262225163682260.016399629497183
0.541.265198768441310.0159841705999435
0.551.268120183731370.0156475033869395
0.561.271002928941620.0154226808384406
0.571.273863964539430.0153129243791064
0.581.276720796085970.0153079653001445
0.591.279589137647250.0153834908125935
0.61.282481505337360.0155033800841522
0.611.285406884471000.0156414612910151
0.621.288371379341010.0157811715410127
0.631.291379562824180.0159157237539549
0.641.294436131062800.0160534739156392
0.651.297547454554320.0162108762240949
0.661.300722698471790.0164106556028743
0.671.303974341099200.0166697696117042
0.681.307318116595230.0170071568429042
0.691.310772607711590.0174296973298714
0.71.314358875667020.0179417228192537
0.711.318100599857610.0185417066340052
0.721.322025173368430.0192347713657867
0.731.326166029155200.0200363110039683
0.741.330566135464410.0209833269185983
0.751.335282104492830.0221355379500479
0.761.340387764561250.0235776559271891
0.771.345975489255890.0254052118887169
0.781.352153280307130.0276938078491923
0.791.359035850436890.0304637938356475
0.81.366729018879410.0336444717500114
0.811.375308732677720.0370496531868604
0.821.384798743037410.0403819610016251
0.831.395153680514430.0432673449160157
0.841.406255727984010.0453341776630583
0.851.417931711407590.0463098487439427
0.861.429991935739670.0461305105536793
0.871.442282515907930.0450105946662729
0.881.454731792068580.0434361438696941
0.891.467364283429630.0420215964984049
0.91.480260202143850.0411953357258447
0.911.493460615359730.0408361386084601
0.921.506854880573820.0401678977885922
0.931.520119327858300.0381274854264562
0.941.532771498427350.034043273664728
0.951.544336105076750.0282116049151021
0.961.554508099444170.0219058971356701
0.971.563143992889270.0164219708866679
0.981.570043117521280.0115534702604889
0.991.574779982904170.0062070338620429

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.983318799636549 & 0.00742761375530451 \tabularnewline
0.02 & 0.989661765509562 & 0.0173252081612991 \tabularnewline
0.03 & 0.999857263160174 & 0.0262004707511207 \tabularnewline
0.04 & 1.01284890011523 & 0.0323755675780478 \tabularnewline
0.05 & 1.02721155060525 & 0.0354384237157870 \tabularnewline
0.06 & 1.04168876400898 & 0.035804819092188 \tabularnewline
0.07 & 1.05544771610916 & 0.0345542292454811 \tabularnewline
0.08 & 1.06812150625474 & 0.0329817553412264 \tabularnewline
0.09 & 1.07971305501639 & 0.0320200723151748 \tabularnewline
0.1 & 1.09042992644417 & 0.0319025789862481 \tabularnewline
0.11 & 1.10052068345057 & 0.0322934489476895 \tabularnewline
0.12 & 1.11016475865545 & 0.0326760905266372 \tabularnewline
0.13 & 1.11943230641718 & 0.0326410325016911 \tabularnewline
0.14 & 1.12829940037678 & 0.0319919367818451 \tabularnewline
0.15 & 1.13669048503513 & 0.0307309271381385 \tabularnewline
0.16 & 1.14452275238443 & 0.0289909972407838 \tabularnewline
0.17 & 1.15173755535999 & 0.026977402290558 \tabularnewline
0.18 & 1.15831448814871 & 0.0248936456444126 \tabularnewline
0.19 & 1.16427073908007 & 0.0228975116654164 \tabularnewline
0.2 & 1.16965137319084 & 0.0210929054679623 \tabularnewline
0.21 & 1.17451640153198 & 0.0195057485995970 \tabularnewline
0.22 & 1.17892911457768 & 0.0181187393246989 \tabularnewline
0.23 & 1.18294818741362 & 0.0168909596777315 \tabularnewline
0.24 & 1.18662417128495 & 0.01577780320755 \tabularnewline
0.25 & 1.18999957886825 & 0.0147567064393348 \tabularnewline
0.26 & 1.19311103879374 & 0.0138272679784384 \tabularnewline
0.27 & 1.19599192574926 & 0.0130001705901279 \tabularnewline
0.28 & 1.19867429143055 & 0.0122950009354382 \tabularnewline
0.29 & 1.20118956878173 & 0.0117253266500795 \tabularnewline
0.3 & 1.20356814256811 & 0.0112941343694513 \tabularnewline
0.31 & 1.20583829495668 & 0.0109833096961776 \tabularnewline
0.32 & 1.20802517480261 & 0.0107737237922017 \tabularnewline
0.33 & 1.21015033127877 & 0.0106419508964682 \tabularnewline
0.34 & 1.21223208616198 & 0.0105706511238898 \tabularnewline
0.35 & 1.21428670389529 & 0.0105555967972772 \tabularnewline
0.36 & 1.21633004922244 & 0.0106034212803859 \tabularnewline
0.37 & 1.21837926022625 & 0.0107371823563599 \tabularnewline
0.38 & 1.22045393448035 & 0.0109833482967873 \tabularnewline
0.39 & 1.22257642099270 & 0.0113716391407664 \tabularnewline
0.4 & 1.22477100187428 & 0.0119132860331565 \tabularnewline
0.41 & 1.22706199284797 & 0.0126072606595510 \tabularnewline
0.42 & 1.22947104161899 & 0.0134280507396238 \tabularnewline
0.43 & 1.23201410771587 & 0.014323028060608 \tabularnewline
0.44 & 1.23469872268613 & 0.0152289479672901 \tabularnewline
0.45 & 1.23752212572992 & 0.0160743061632274 \tabularnewline
0.46 & 1.24047073943994 & 0.0167884413135165 \tabularnewline
0.47 & 1.24352121286694 & 0.0173148495084510 \tabularnewline
0.48 & 1.24664296022715 & 0.0176182541023949 \tabularnewline
0.49 & 1.24980182636392 & 0.0176926890901494 \tabularnewline
0.5 & 1.25296428087226 & 0.0175574742394165 \tabularnewline
0.51 & 1.25610143438126 & 0.0172535626357915 \tabularnewline
0.52 & 1.25919220822251 & 0.0168453768071121 \tabularnewline
0.53 & 1.26222516368226 & 0.016399629497183 \tabularnewline
0.54 & 1.26519876844131 & 0.0159841705999435 \tabularnewline
0.55 & 1.26812018373137 & 0.0156475033869395 \tabularnewline
0.56 & 1.27100292894162 & 0.0154226808384406 \tabularnewline
0.57 & 1.27386396453943 & 0.0153129243791064 \tabularnewline
0.58 & 1.27672079608597 & 0.0153079653001445 \tabularnewline
0.59 & 1.27958913764725 & 0.0153834908125935 \tabularnewline
0.6 & 1.28248150533736 & 0.0155033800841522 \tabularnewline
0.61 & 1.28540688447100 & 0.0156414612910151 \tabularnewline
0.62 & 1.28837137934101 & 0.0157811715410127 \tabularnewline
0.63 & 1.29137956282418 & 0.0159157237539549 \tabularnewline
0.64 & 1.29443613106280 & 0.0160534739156392 \tabularnewline
0.65 & 1.29754745455432 & 0.0162108762240949 \tabularnewline
0.66 & 1.30072269847179 & 0.0164106556028743 \tabularnewline
0.67 & 1.30397434109920 & 0.0166697696117042 \tabularnewline
0.68 & 1.30731811659523 & 0.0170071568429042 \tabularnewline
0.69 & 1.31077260771159 & 0.0174296973298714 \tabularnewline
0.7 & 1.31435887566702 & 0.0179417228192537 \tabularnewline
0.71 & 1.31810059985761 & 0.0185417066340052 \tabularnewline
0.72 & 1.32202517336843 & 0.0192347713657867 \tabularnewline
0.73 & 1.32616602915520 & 0.0200363110039683 \tabularnewline
0.74 & 1.33056613546441 & 0.0209833269185983 \tabularnewline
0.75 & 1.33528210449283 & 0.0221355379500479 \tabularnewline
0.76 & 1.34038776456125 & 0.0235776559271891 \tabularnewline
0.77 & 1.34597548925589 & 0.0254052118887169 \tabularnewline
0.78 & 1.35215328030713 & 0.0276938078491923 \tabularnewline
0.79 & 1.35903585043689 & 0.0304637938356475 \tabularnewline
0.8 & 1.36672901887941 & 0.0336444717500114 \tabularnewline
0.81 & 1.37530873267772 & 0.0370496531868604 \tabularnewline
0.82 & 1.38479874303741 & 0.0403819610016251 \tabularnewline
0.83 & 1.39515368051443 & 0.0432673449160157 \tabularnewline
0.84 & 1.40625572798401 & 0.0453341776630583 \tabularnewline
0.85 & 1.41793171140759 & 0.0463098487439427 \tabularnewline
0.86 & 1.42999193573967 & 0.0461305105536793 \tabularnewline
0.87 & 1.44228251590793 & 0.0450105946662729 \tabularnewline
0.88 & 1.45473179206858 & 0.0434361438696941 \tabularnewline
0.89 & 1.46736428342963 & 0.0420215964984049 \tabularnewline
0.9 & 1.48026020214385 & 0.0411953357258447 \tabularnewline
0.91 & 1.49346061535973 & 0.0408361386084601 \tabularnewline
0.92 & 1.50685488057382 & 0.0401678977885922 \tabularnewline
0.93 & 1.52011932785830 & 0.0381274854264562 \tabularnewline
0.94 & 1.53277149842735 & 0.034043273664728 \tabularnewline
0.95 & 1.54433610507675 & 0.0282116049151021 \tabularnewline
0.96 & 1.55450809944417 & 0.0219058971356701 \tabularnewline
0.97 & 1.56314399288927 & 0.0164219708866679 \tabularnewline
0.98 & 1.57004311752128 & 0.0115534702604889 \tabularnewline
0.99 & 1.57477998290417 & 0.0062070338620429 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16510&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]0.983318799636549[/C][C]0.00742761375530451[/C][/ROW]
[ROW][C]0.02[/C][C]0.989661765509562[/C][C]0.0173252081612991[/C][/ROW]
[ROW][C]0.03[/C][C]0.999857263160174[/C][C]0.0262004707511207[/C][/ROW]
[ROW][C]0.04[/C][C]1.01284890011523[/C][C]0.0323755675780478[/C][/ROW]
[ROW][C]0.05[/C][C]1.02721155060525[/C][C]0.0354384237157870[/C][/ROW]
[ROW][C]0.06[/C][C]1.04168876400898[/C][C]0.035804819092188[/C][/ROW]
[ROW][C]0.07[/C][C]1.05544771610916[/C][C]0.0345542292454811[/C][/ROW]
[ROW][C]0.08[/C][C]1.06812150625474[/C][C]0.0329817553412264[/C][/ROW]
[ROW][C]0.09[/C][C]1.07971305501639[/C][C]0.0320200723151748[/C][/ROW]
[ROW][C]0.1[/C][C]1.09042992644417[/C][C]0.0319025789862481[/C][/ROW]
[ROW][C]0.11[/C][C]1.10052068345057[/C][C]0.0322934489476895[/C][/ROW]
[ROW][C]0.12[/C][C]1.11016475865545[/C][C]0.0326760905266372[/C][/ROW]
[ROW][C]0.13[/C][C]1.11943230641718[/C][C]0.0326410325016911[/C][/ROW]
[ROW][C]0.14[/C][C]1.12829940037678[/C][C]0.0319919367818451[/C][/ROW]
[ROW][C]0.15[/C][C]1.13669048503513[/C][C]0.0307309271381385[/C][/ROW]
[ROW][C]0.16[/C][C]1.14452275238443[/C][C]0.0289909972407838[/C][/ROW]
[ROW][C]0.17[/C][C]1.15173755535999[/C][C]0.026977402290558[/C][/ROW]
[ROW][C]0.18[/C][C]1.15831448814871[/C][C]0.0248936456444126[/C][/ROW]
[ROW][C]0.19[/C][C]1.16427073908007[/C][C]0.0228975116654164[/C][/ROW]
[ROW][C]0.2[/C][C]1.16965137319084[/C][C]0.0210929054679623[/C][/ROW]
[ROW][C]0.21[/C][C]1.17451640153198[/C][C]0.0195057485995970[/C][/ROW]
[ROW][C]0.22[/C][C]1.17892911457768[/C][C]0.0181187393246989[/C][/ROW]
[ROW][C]0.23[/C][C]1.18294818741362[/C][C]0.0168909596777315[/C][/ROW]
[ROW][C]0.24[/C][C]1.18662417128495[/C][C]0.01577780320755[/C][/ROW]
[ROW][C]0.25[/C][C]1.18999957886825[/C][C]0.0147567064393348[/C][/ROW]
[ROW][C]0.26[/C][C]1.19311103879374[/C][C]0.0138272679784384[/C][/ROW]
[ROW][C]0.27[/C][C]1.19599192574926[/C][C]0.0130001705901279[/C][/ROW]
[ROW][C]0.28[/C][C]1.19867429143055[/C][C]0.0122950009354382[/C][/ROW]
[ROW][C]0.29[/C][C]1.20118956878173[/C][C]0.0117253266500795[/C][/ROW]
[ROW][C]0.3[/C][C]1.20356814256811[/C][C]0.0112941343694513[/C][/ROW]
[ROW][C]0.31[/C][C]1.20583829495668[/C][C]0.0109833096961776[/C][/ROW]
[ROW][C]0.32[/C][C]1.20802517480261[/C][C]0.0107737237922017[/C][/ROW]
[ROW][C]0.33[/C][C]1.21015033127877[/C][C]0.0106419508964682[/C][/ROW]
[ROW][C]0.34[/C][C]1.21223208616198[/C][C]0.0105706511238898[/C][/ROW]
[ROW][C]0.35[/C][C]1.21428670389529[/C][C]0.0105555967972772[/C][/ROW]
[ROW][C]0.36[/C][C]1.21633004922244[/C][C]0.0106034212803859[/C][/ROW]
[ROW][C]0.37[/C][C]1.21837926022625[/C][C]0.0107371823563599[/C][/ROW]
[ROW][C]0.38[/C][C]1.22045393448035[/C][C]0.0109833482967873[/C][/ROW]
[ROW][C]0.39[/C][C]1.22257642099270[/C][C]0.0113716391407664[/C][/ROW]
[ROW][C]0.4[/C][C]1.22477100187428[/C][C]0.0119132860331565[/C][/ROW]
[ROW][C]0.41[/C][C]1.22706199284797[/C][C]0.0126072606595510[/C][/ROW]
[ROW][C]0.42[/C][C]1.22947104161899[/C][C]0.0134280507396238[/C][/ROW]
[ROW][C]0.43[/C][C]1.23201410771587[/C][C]0.014323028060608[/C][/ROW]
[ROW][C]0.44[/C][C]1.23469872268613[/C][C]0.0152289479672901[/C][/ROW]
[ROW][C]0.45[/C][C]1.23752212572992[/C][C]0.0160743061632274[/C][/ROW]
[ROW][C]0.46[/C][C]1.24047073943994[/C][C]0.0167884413135165[/C][/ROW]
[ROW][C]0.47[/C][C]1.24352121286694[/C][C]0.0173148495084510[/C][/ROW]
[ROW][C]0.48[/C][C]1.24664296022715[/C][C]0.0176182541023949[/C][/ROW]
[ROW][C]0.49[/C][C]1.24980182636392[/C][C]0.0176926890901494[/C][/ROW]
[ROW][C]0.5[/C][C]1.25296428087226[/C][C]0.0175574742394165[/C][/ROW]
[ROW][C]0.51[/C][C]1.25610143438126[/C][C]0.0172535626357915[/C][/ROW]
[ROW][C]0.52[/C][C]1.25919220822251[/C][C]0.0168453768071121[/C][/ROW]
[ROW][C]0.53[/C][C]1.26222516368226[/C][C]0.016399629497183[/C][/ROW]
[ROW][C]0.54[/C][C]1.26519876844131[/C][C]0.0159841705999435[/C][/ROW]
[ROW][C]0.55[/C][C]1.26812018373137[/C][C]0.0156475033869395[/C][/ROW]
[ROW][C]0.56[/C][C]1.27100292894162[/C][C]0.0154226808384406[/C][/ROW]
[ROW][C]0.57[/C][C]1.27386396453943[/C][C]0.0153129243791064[/C][/ROW]
[ROW][C]0.58[/C][C]1.27672079608597[/C][C]0.0153079653001445[/C][/ROW]
[ROW][C]0.59[/C][C]1.27958913764725[/C][C]0.0153834908125935[/C][/ROW]
[ROW][C]0.6[/C][C]1.28248150533736[/C][C]0.0155033800841522[/C][/ROW]
[ROW][C]0.61[/C][C]1.28540688447100[/C][C]0.0156414612910151[/C][/ROW]
[ROW][C]0.62[/C][C]1.28837137934101[/C][C]0.0157811715410127[/C][/ROW]
[ROW][C]0.63[/C][C]1.29137956282418[/C][C]0.0159157237539549[/C][/ROW]
[ROW][C]0.64[/C][C]1.29443613106280[/C][C]0.0160534739156392[/C][/ROW]
[ROW][C]0.65[/C][C]1.29754745455432[/C][C]0.0162108762240949[/C][/ROW]
[ROW][C]0.66[/C][C]1.30072269847179[/C][C]0.0164106556028743[/C][/ROW]
[ROW][C]0.67[/C][C]1.30397434109920[/C][C]0.0166697696117042[/C][/ROW]
[ROW][C]0.68[/C][C]1.30731811659523[/C][C]0.0170071568429042[/C][/ROW]
[ROW][C]0.69[/C][C]1.31077260771159[/C][C]0.0174296973298714[/C][/ROW]
[ROW][C]0.7[/C][C]1.31435887566702[/C][C]0.0179417228192537[/C][/ROW]
[ROW][C]0.71[/C][C]1.31810059985761[/C][C]0.0185417066340052[/C][/ROW]
[ROW][C]0.72[/C][C]1.32202517336843[/C][C]0.0192347713657867[/C][/ROW]
[ROW][C]0.73[/C][C]1.32616602915520[/C][C]0.0200363110039683[/C][/ROW]
[ROW][C]0.74[/C][C]1.33056613546441[/C][C]0.0209833269185983[/C][/ROW]
[ROW][C]0.75[/C][C]1.33528210449283[/C][C]0.0221355379500479[/C][/ROW]
[ROW][C]0.76[/C][C]1.34038776456125[/C][C]0.0235776559271891[/C][/ROW]
[ROW][C]0.77[/C][C]1.34597548925589[/C][C]0.0254052118887169[/C][/ROW]
[ROW][C]0.78[/C][C]1.35215328030713[/C][C]0.0276938078491923[/C][/ROW]
[ROW][C]0.79[/C][C]1.35903585043689[/C][C]0.0304637938356475[/C][/ROW]
[ROW][C]0.8[/C][C]1.36672901887941[/C][C]0.0336444717500114[/C][/ROW]
[ROW][C]0.81[/C][C]1.37530873267772[/C][C]0.0370496531868604[/C][/ROW]
[ROW][C]0.82[/C][C]1.38479874303741[/C][C]0.0403819610016251[/C][/ROW]
[ROW][C]0.83[/C][C]1.39515368051443[/C][C]0.0432673449160157[/C][/ROW]
[ROW][C]0.84[/C][C]1.40625572798401[/C][C]0.0453341776630583[/C][/ROW]
[ROW][C]0.85[/C][C]1.41793171140759[/C][C]0.0463098487439427[/C][/ROW]
[ROW][C]0.86[/C][C]1.42999193573967[/C][C]0.0461305105536793[/C][/ROW]
[ROW][C]0.87[/C][C]1.44228251590793[/C][C]0.0450105946662729[/C][/ROW]
[ROW][C]0.88[/C][C]1.45473179206858[/C][C]0.0434361438696941[/C][/ROW]
[ROW][C]0.89[/C][C]1.46736428342963[/C][C]0.0420215964984049[/C][/ROW]
[ROW][C]0.9[/C][C]1.48026020214385[/C][C]0.0411953357258447[/C][/ROW]
[ROW][C]0.91[/C][C]1.49346061535973[/C][C]0.0408361386084601[/C][/ROW]
[ROW][C]0.92[/C][C]1.50685488057382[/C][C]0.0401678977885922[/C][/ROW]
[ROW][C]0.93[/C][C]1.52011932785830[/C][C]0.0381274854264562[/C][/ROW]
[ROW][C]0.94[/C][C]1.53277149842735[/C][C]0.034043273664728[/C][/ROW]
[ROW][C]0.95[/C][C]1.54433610507675[/C][C]0.0282116049151021[/C][/ROW]
[ROW][C]0.96[/C][C]1.55450809944417[/C][C]0.0219058971356701[/C][/ROW]
[ROW][C]0.97[/C][C]1.56314399288927[/C][C]0.0164219708866679[/C][/ROW]
[ROW][C]0.98[/C][C]1.57004311752128[/C][C]0.0115534702604889[/C][/ROW]
[ROW][C]0.99[/C][C]1.57477998290417[/C][C]0.0062070338620429[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16510&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16510&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
0.010.9833187996365490.00742761375530451
0.020.9896617655095620.0173252081612991
0.030.9998572631601740.0262004707511207
0.041.012848900115230.0323755675780478
0.051.027211550605250.0354384237157870
0.061.041688764008980.035804819092188
0.071.055447716109160.0345542292454811
0.081.068121506254740.0329817553412264
0.091.079713055016390.0320200723151748
0.11.090429926444170.0319025789862481
0.111.100520683450570.0322934489476895
0.121.110164758655450.0326760905266372
0.131.119432306417180.0326410325016911
0.141.128299400376780.0319919367818451
0.151.136690485035130.0307309271381385
0.161.144522752384430.0289909972407838
0.171.151737555359990.026977402290558
0.181.158314488148710.0248936456444126
0.191.164270739080070.0228975116654164
0.21.169651373190840.0210929054679623
0.211.174516401531980.0195057485995970
0.221.178929114577680.0181187393246989
0.231.182948187413620.0168909596777315
0.241.186624171284950.01577780320755
0.251.189999578868250.0147567064393348
0.261.193111038793740.0138272679784384
0.271.195991925749260.0130001705901279
0.281.198674291430550.0122950009354382
0.291.201189568781730.0117253266500795
0.31.203568142568110.0112941343694513
0.311.205838294956680.0109833096961776
0.321.208025174802610.0107737237922017
0.331.210150331278770.0106419508964682
0.341.212232086161980.0105706511238898
0.351.214286703895290.0105555967972772
0.361.216330049222440.0106034212803859
0.371.218379260226250.0107371823563599
0.381.220453934480350.0109833482967873
0.391.222576420992700.0113716391407664
0.41.224771001874280.0119132860331565
0.411.227061992847970.0126072606595510
0.421.229471041618990.0134280507396238
0.431.232014107715870.014323028060608
0.441.234698722686130.0152289479672901
0.451.237522125729920.0160743061632274
0.461.240470739439940.0167884413135165
0.471.243521212866940.0173148495084510
0.481.246642960227150.0176182541023949
0.491.249801826363920.0176926890901494
0.51.252964280872260.0175574742394165
0.511.256101434381260.0172535626357915
0.521.259192208222510.0168453768071121
0.531.262225163682260.016399629497183
0.541.265198768441310.0159841705999435
0.551.268120183731370.0156475033869395
0.561.271002928941620.0154226808384406
0.571.273863964539430.0153129243791064
0.581.276720796085970.0153079653001445
0.591.279589137647250.0153834908125935
0.61.282481505337360.0155033800841522
0.611.285406884471000.0156414612910151
0.621.288371379341010.0157811715410127
0.631.291379562824180.0159157237539549
0.641.294436131062800.0160534739156392
0.651.297547454554320.0162108762240949
0.661.300722698471790.0164106556028743
0.671.303974341099200.0166697696117042
0.681.307318116595230.0170071568429042
0.691.310772607711590.0174296973298714
0.71.314358875667020.0179417228192537
0.711.318100599857610.0185417066340052
0.721.322025173368430.0192347713657867
0.731.326166029155200.0200363110039683
0.741.330566135464410.0209833269185983
0.751.335282104492830.0221355379500479
0.761.340387764561250.0235776559271891
0.771.345975489255890.0254052118887169
0.781.352153280307130.0276938078491923
0.791.359035850436890.0304637938356475
0.81.366729018879410.0336444717500114
0.811.375308732677720.0370496531868604
0.821.384798743037410.0403819610016251
0.831.395153680514430.0432673449160157
0.841.406255727984010.0453341776630583
0.851.417931711407590.0463098487439427
0.861.429991935739670.0461305105536793
0.871.442282515907930.0450105946662729
0.881.454731792068580.0434361438696941
0.891.467364283429630.0420215964984049
0.91.480260202143850.0411953357258447
0.911.493460615359730.0408361386084601
0.921.506854880573820.0401678977885922
0.931.520119327858300.0381274854264562
0.941.532771498427350.034043273664728
0.951.544336105076750.0282116049151021
0.961.554508099444170.0219058971356701
0.971.563143992889270.0164219708866679
0.981.570043117521280.0115534702604889
0.991.574779982904170.0062070338620429


Figures (Output of Computation)

Input Parameters & R Code

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