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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 25 Oct 2008 09:42:08 -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/25/t1224949360r24alc4eaplb7gl.htm/, Retrieved Wed, 22 May 2024 03:52:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18774, Retrieved Wed, 22 May 2024 03:52:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact144

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Harrell-Davis Quantiles] [Q9] [2008-10-25 15:42:08] [0831954c833179c36e9320daee0825b5] [Current]
Feedback Forum
2008-10-29 17:56:45 [Niels Stas] [reply] 
Correct antwoord.
2008-10-29 19:57:23 [Tom Ardies] [reply] 
Het antwoord is correct, maar een geblogde versie van je betrouwbaarheidsinterval voor de random component had erbij gemogen.
2008-10-30 14:14:08 [Bob Leysen] [reply] 
Het antwordis correct. ZElfde vraag dan Q5 maar dan voor je eigen tekenreeksen.
2008-10-30 14:14:47 [Bob Leysen] [reply] 
Het antwoord is correct. Zelfde vraag dan Q5, maar dan voor je eigen tekenreeksen.
2008-11-03 16:50:38 [Jeroen Michel] [reply] 
Hier is het antwoord ook correct. Ook hier zit een mooie en uitgebreide conclusie bij waarbij je de juiste feedback geeft.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.797974
0.806243
0.795912
0.80236
0.80157
0.807034
0.803075
0.804388
0.807334
0.808039
0.800208
0.808518
0.800323
0.807641
0.807843
0.808647
0.802774
0.800387
0.799744
0.801755
0.799294
0.800994
0.801697
0.805512
0.799396
0.808458
0.804788
0.803232
0.805114
0.804385
0.803292
0.798574
0.802943
0.801767
0.798419
0.803301
0.805025
0.812093
0.80564
0.807676
0.800135
0.794657
0.779268
0.787052
0.796981
0.784986
0.79138
0.801543
0.798333
0.80404
0.799443
0.802055
0.804435
0.803417
0.809433
0.810135
0.809626
0.815044
0.806292
0.809363
0.812224
0.810642
0.812912
0.805542
0.802734
0.797022
0.7978
0.796909
0.806619
0.806229

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'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=18774&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=18774&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18774&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.780932556449970.00493872672337408
0.020.7833955569742080.00433844219910416
0.030.7859293032723430.00420565524775066
0.040.7882235879432920.00423831638239329
0.050.7902240992908960.00409777470543059
0.060.7919342934729170.00370947298265309
0.070.7933560529771690.00315963042931030
0.080.7944987538820730.00257144421125048
0.090.7953900681226320.00203840013004642
0.10.7960729365708520.00161109278305200
0.110.796595762313570.00129971307085040
0.120.7970035532788450.00109393057053549
0.130.7973329939126370.000967149743984015
0.140.797611167543780.000894486083416574
0.150.797856545288590.000854864891660976
0.160.798080926651210.00083235250914021
0.170.798291461307910.00081930309960484
0.180.7984923208539850.00081196887229545
0.190.7986859004605780.000806253941183895
0.20.7988736020824980.00080232382144637
0.210.7990563129445750.000797460729418396
0.220.7992346874739270.000794346231899012
0.230.7994093070033330.000791373868249662
0.240.7995807574830740.000790378792441137
0.250.799749644731520.000792568599573259
0.260.7999165608630950.00079693778914211
0.270.800082018886570.000803223298835167
0.280.8002463777666720.000810262057481987
0.290.8004097819725920.000816323819206199
0.30.800572135348650.000820447875139829
0.310.8007331196607920.00082129517642724
0.320.8008922560233010.000816817065717824
0.330.801048996026120.00080892511545957
0.340.8012028218916520.000797120262107377
0.350.8013533333333340.000782474694991737
0.360.801500303212480.000766720655116363
0.370.8016436931127320.000751908097234844
0.380.801783630834090.000737227441601183
0.390.80192036139870.000725054587300604
0.40.8020541888432730.000714577732208689
0.410.8021854265157420.000705493346985954
0.420.8023143690567410.000696288033094418
0.430.8024412913873020.000688590450118832
0.440.8025664713021430.000681382692649138
0.450.8026902251741460.000675157829646536
0.460.8028129426373520.000671006176390619
0.470.8029351066660540.000669181594169606
0.480.8030572897617840.000671108918101121
0.490.8031801236116320.000677267144378884
0.50.803304246710250.00068785393247192
0.510.8034302401912420.000701167451913989
0.520.8035585651254020.000716259092448862
0.530.8036895142326520.000732444577815715
0.540.8038231876087250.00074756447882981
0.550.8039594967053930.000761315486569497
0.560.8040981948652110.000771864970865559
0.570.8042389276620040.000779518093496199
0.580.8043812932419150.00078423501411248
0.590.8045249022806680.000786171430820726
0.60.8046694288579070.000786473366194636
0.610.804814646713630.000784802754640653
0.620.8049604489149040.000782775421457396
0.630.8051068518920620.000780693386270122
0.640.8052539864236680.000779785864389697
0.650.8054020783161040.000779777443184305
0.660.8055514206441970.000780811021026211
0.670.8057023383012930.000783606757812268
0.680.8058551451757330.000787592436276926
0.690.8060100952255070.00079216073934629
0.70.8061673312193530.000797805539418055
0.710.806326838374860.000802139695977854
0.720.8064884132869660.000804956039724432
0.730.8066516597794030.000804442190301302
0.740.8068160212211520.000799982910245702
0.750.8069808529002810.000791001678645042
0.760.8071455290570440.000777438159881147
0.770.807309569333020.000760122943925537
0.780.8074727617145480.000741240725383796
0.790.8076352564704120.000722947575270945
0.80.8077976100428060.000706423884410695
0.810.8079607697852920.000694911886191993
0.820.8081260087633960.000688300606938873
0.830.8082948419276090.000687442105430181
0.840.8084689760130260.000691657525684894
0.850.8086503568833630.0007010730362459
0.860.8088413658883450.000715049826293303
0.870.8090451639312550.000734496184151992
0.880.8092660770933730.00076385121893716
0.890.8095097757854150.000807904118449745
0.90.8097828905330310.000870275694657997
0.910.8100917786007410.000948836182378153
0.920.8104406087866650.00103207394099486
0.930.8108299019838810.00109647784679525
0.940.8112579245398860.00111815572855144
0.950.8117277085319160.00109024047039826
0.960.8122589811962490.00104894761797849
0.970.812892405006860.00109472438360187
0.980.8136550831937490.00133940596888236
0.990.8144634170157560.00175160565867923

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.78093255644997 & 0.00493872672337408 \tabularnewline
0.02 & 0.783395556974208 & 0.00433844219910416 \tabularnewline
0.03 & 0.785929303272343 & 0.00420565524775066 \tabularnewline
0.04 & 0.788223587943292 & 0.00423831638239329 \tabularnewline
0.05 & 0.790224099290896 & 0.00409777470543059 \tabularnewline
0.06 & 0.791934293472917 & 0.00370947298265309 \tabularnewline
0.07 & 0.793356052977169 & 0.00315963042931030 \tabularnewline
0.08 & 0.794498753882073 & 0.00257144421125048 \tabularnewline
0.09 & 0.795390068122632 & 0.00203840013004642 \tabularnewline
0.1 & 0.796072936570852 & 0.00161109278305200 \tabularnewline
0.11 & 0.79659576231357 & 0.00129971307085040 \tabularnewline
0.12 & 0.797003553278845 & 0.00109393057053549 \tabularnewline
0.13 & 0.797332993912637 & 0.000967149743984015 \tabularnewline
0.14 & 0.79761116754378 & 0.000894486083416574 \tabularnewline
0.15 & 0.79785654528859 & 0.000854864891660976 \tabularnewline
0.16 & 0.79808092665121 & 0.00083235250914021 \tabularnewline
0.17 & 0.79829146130791 & 0.00081930309960484 \tabularnewline
0.18 & 0.798492320853985 & 0.00081196887229545 \tabularnewline
0.19 & 0.798685900460578 & 0.000806253941183895 \tabularnewline
0.2 & 0.798873602082498 & 0.00080232382144637 \tabularnewline
0.21 & 0.799056312944575 & 0.000797460729418396 \tabularnewline
0.22 & 0.799234687473927 & 0.000794346231899012 \tabularnewline
0.23 & 0.799409307003333 & 0.000791373868249662 \tabularnewline
0.24 & 0.799580757483074 & 0.000790378792441137 \tabularnewline
0.25 & 0.79974964473152 & 0.000792568599573259 \tabularnewline
0.26 & 0.799916560863095 & 0.00079693778914211 \tabularnewline
0.27 & 0.80008201888657 & 0.000803223298835167 \tabularnewline
0.28 & 0.800246377766672 & 0.000810262057481987 \tabularnewline
0.29 & 0.800409781972592 & 0.000816323819206199 \tabularnewline
0.3 & 0.80057213534865 & 0.000820447875139829 \tabularnewline
0.31 & 0.800733119660792 & 0.00082129517642724 \tabularnewline
0.32 & 0.800892256023301 & 0.000816817065717824 \tabularnewline
0.33 & 0.80104899602612 & 0.00080892511545957 \tabularnewline
0.34 & 0.801202821891652 & 0.000797120262107377 \tabularnewline
0.35 & 0.801353333333334 & 0.000782474694991737 \tabularnewline
0.36 & 0.80150030321248 & 0.000766720655116363 \tabularnewline
0.37 & 0.801643693112732 & 0.000751908097234844 \tabularnewline
0.38 & 0.80178363083409 & 0.000737227441601183 \tabularnewline
0.39 & 0.8019203613987 & 0.000725054587300604 \tabularnewline
0.4 & 0.802054188843273 & 0.000714577732208689 \tabularnewline
0.41 & 0.802185426515742 & 0.000705493346985954 \tabularnewline
0.42 & 0.802314369056741 & 0.000696288033094418 \tabularnewline
0.43 & 0.802441291387302 & 0.000688590450118832 \tabularnewline
0.44 & 0.802566471302143 & 0.000681382692649138 \tabularnewline
0.45 & 0.802690225174146 & 0.000675157829646536 \tabularnewline
0.46 & 0.802812942637352 & 0.000671006176390619 \tabularnewline
0.47 & 0.802935106666054 & 0.000669181594169606 \tabularnewline
0.48 & 0.803057289761784 & 0.000671108918101121 \tabularnewline
0.49 & 0.803180123611632 & 0.000677267144378884 \tabularnewline
0.5 & 0.80330424671025 & 0.00068785393247192 \tabularnewline
0.51 & 0.803430240191242 & 0.000701167451913989 \tabularnewline
0.52 & 0.803558565125402 & 0.000716259092448862 \tabularnewline
0.53 & 0.803689514232652 & 0.000732444577815715 \tabularnewline
0.54 & 0.803823187608725 & 0.00074756447882981 \tabularnewline
0.55 & 0.803959496705393 & 0.000761315486569497 \tabularnewline
0.56 & 0.804098194865211 & 0.000771864970865559 \tabularnewline
0.57 & 0.804238927662004 & 0.000779518093496199 \tabularnewline
0.58 & 0.804381293241915 & 0.00078423501411248 \tabularnewline
0.59 & 0.804524902280668 & 0.000786171430820726 \tabularnewline
0.6 & 0.804669428857907 & 0.000786473366194636 \tabularnewline
0.61 & 0.80481464671363 & 0.000784802754640653 \tabularnewline
0.62 & 0.804960448914904 & 0.000782775421457396 \tabularnewline
0.63 & 0.805106851892062 & 0.000780693386270122 \tabularnewline
0.64 & 0.805253986423668 & 0.000779785864389697 \tabularnewline
0.65 & 0.805402078316104 & 0.000779777443184305 \tabularnewline
0.66 & 0.805551420644197 & 0.000780811021026211 \tabularnewline
0.67 & 0.805702338301293 & 0.000783606757812268 \tabularnewline
0.68 & 0.805855145175733 & 0.000787592436276926 \tabularnewline
0.69 & 0.806010095225507 & 0.00079216073934629 \tabularnewline
0.7 & 0.806167331219353 & 0.000797805539418055 \tabularnewline
0.71 & 0.80632683837486 & 0.000802139695977854 \tabularnewline
0.72 & 0.806488413286966 & 0.000804956039724432 \tabularnewline
0.73 & 0.806651659779403 & 0.000804442190301302 \tabularnewline
0.74 & 0.806816021221152 & 0.000799982910245702 \tabularnewline
0.75 & 0.806980852900281 & 0.000791001678645042 \tabularnewline
0.76 & 0.807145529057044 & 0.000777438159881147 \tabularnewline
0.77 & 0.80730956933302 & 0.000760122943925537 \tabularnewline
0.78 & 0.807472761714548 & 0.000741240725383796 \tabularnewline
0.79 & 0.807635256470412 & 0.000722947575270945 \tabularnewline
0.8 & 0.807797610042806 & 0.000706423884410695 \tabularnewline
0.81 & 0.807960769785292 & 0.000694911886191993 \tabularnewline
0.82 & 0.808126008763396 & 0.000688300606938873 \tabularnewline
0.83 & 0.808294841927609 & 0.000687442105430181 \tabularnewline
0.84 & 0.808468976013026 & 0.000691657525684894 \tabularnewline
0.85 & 0.808650356883363 & 0.0007010730362459 \tabularnewline
0.86 & 0.808841365888345 & 0.000715049826293303 \tabularnewline
0.87 & 0.809045163931255 & 0.000734496184151992 \tabularnewline
0.88 & 0.809266077093373 & 0.00076385121893716 \tabularnewline
0.89 & 0.809509775785415 & 0.000807904118449745 \tabularnewline
0.9 & 0.809782890533031 & 0.000870275694657997 \tabularnewline
0.91 & 0.810091778600741 & 0.000948836182378153 \tabularnewline
0.92 & 0.810440608786665 & 0.00103207394099486 \tabularnewline
0.93 & 0.810829901983881 & 0.00109647784679525 \tabularnewline
0.94 & 0.811257924539886 & 0.00111815572855144 \tabularnewline
0.95 & 0.811727708531916 & 0.00109024047039826 \tabularnewline
0.96 & 0.812258981196249 & 0.00104894761797849 \tabularnewline
0.97 & 0.81289240500686 & 0.00109472438360187 \tabularnewline
0.98 & 0.813655083193749 & 0.00133940596888236 \tabularnewline
0.99 & 0.814463417015756 & 0.00175160565867923 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18774&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]0.78093255644997[/C][C]0.00493872672337408[/C][/ROW]
[ROW][C]0.02[/C][C]0.783395556974208[/C][C]0.00433844219910416[/C][/ROW]
[ROW][C]0.03[/C][C]0.785929303272343[/C][C]0.00420565524775066[/C][/ROW]
[ROW][C]0.04[/C][C]0.788223587943292[/C][C]0.00423831638239329[/C][/ROW]
[ROW][C]0.05[/C][C]0.790224099290896[/C][C]0.00409777470543059[/C][/ROW]
[ROW][C]0.06[/C][C]0.791934293472917[/C][C]0.00370947298265309[/C][/ROW]
[ROW][C]0.07[/C][C]0.793356052977169[/C][C]0.00315963042931030[/C][/ROW]
[ROW][C]0.08[/C][C]0.794498753882073[/C][C]0.00257144421125048[/C][/ROW]
[ROW][C]0.09[/C][C]0.795390068122632[/C][C]0.00203840013004642[/C][/ROW]
[ROW][C]0.1[/C][C]0.796072936570852[/C][C]0.00161109278305200[/C][/ROW]
[ROW][C]0.11[/C][C]0.79659576231357[/C][C]0.00129971307085040[/C][/ROW]
[ROW][C]0.12[/C][C]0.797003553278845[/C][C]0.00109393057053549[/C][/ROW]
[ROW][C]0.13[/C][C]0.797332993912637[/C][C]0.000967149743984015[/C][/ROW]
[ROW][C]0.14[/C][C]0.79761116754378[/C][C]0.000894486083416574[/C][/ROW]
[ROW][C]0.15[/C][C]0.79785654528859[/C][C]0.000854864891660976[/C][/ROW]
[ROW][C]0.16[/C][C]0.79808092665121[/C][C]0.00083235250914021[/C][/ROW]
[ROW][C]0.17[/C][C]0.79829146130791[/C][C]0.00081930309960484[/C][/ROW]
[ROW][C]0.18[/C][C]0.798492320853985[/C][C]0.00081196887229545[/C][/ROW]
[ROW][C]0.19[/C][C]0.798685900460578[/C][C]0.000806253941183895[/C][/ROW]
[ROW][C]0.2[/C][C]0.798873602082498[/C][C]0.00080232382144637[/C][/ROW]
[ROW][C]0.21[/C][C]0.799056312944575[/C][C]0.000797460729418396[/C][/ROW]
[ROW][C]0.22[/C][C]0.799234687473927[/C][C]0.000794346231899012[/C][/ROW]
[ROW][C]0.23[/C][C]0.799409307003333[/C][C]0.000791373868249662[/C][/ROW]
[ROW][C]0.24[/C][C]0.799580757483074[/C][C]0.000790378792441137[/C][/ROW]
[ROW][C]0.25[/C][C]0.79974964473152[/C][C]0.000792568599573259[/C][/ROW]
[ROW][C]0.26[/C][C]0.799916560863095[/C][C]0.00079693778914211[/C][/ROW]
[ROW][C]0.27[/C][C]0.80008201888657[/C][C]0.000803223298835167[/C][/ROW]
[ROW][C]0.28[/C][C]0.800246377766672[/C][C]0.000810262057481987[/C][/ROW]
[ROW][C]0.29[/C][C]0.800409781972592[/C][C]0.000816323819206199[/C][/ROW]
[ROW][C]0.3[/C][C]0.80057213534865[/C][C]0.000820447875139829[/C][/ROW]
[ROW][C]0.31[/C][C]0.800733119660792[/C][C]0.00082129517642724[/C][/ROW]
[ROW][C]0.32[/C][C]0.800892256023301[/C][C]0.000816817065717824[/C][/ROW]
[ROW][C]0.33[/C][C]0.80104899602612[/C][C]0.00080892511545957[/C][/ROW]
[ROW][C]0.34[/C][C]0.801202821891652[/C][C]0.000797120262107377[/C][/ROW]
[ROW][C]0.35[/C][C]0.801353333333334[/C][C]0.000782474694991737[/C][/ROW]
[ROW][C]0.36[/C][C]0.80150030321248[/C][C]0.000766720655116363[/C][/ROW]
[ROW][C]0.37[/C][C]0.801643693112732[/C][C]0.000751908097234844[/C][/ROW]
[ROW][C]0.38[/C][C]0.80178363083409[/C][C]0.000737227441601183[/C][/ROW]
[ROW][C]0.39[/C][C]0.8019203613987[/C][C]0.000725054587300604[/C][/ROW]
[ROW][C]0.4[/C][C]0.802054188843273[/C][C]0.000714577732208689[/C][/ROW]
[ROW][C]0.41[/C][C]0.802185426515742[/C][C]0.000705493346985954[/C][/ROW]
[ROW][C]0.42[/C][C]0.802314369056741[/C][C]0.000696288033094418[/C][/ROW]
[ROW][C]0.43[/C][C]0.802441291387302[/C][C]0.000688590450118832[/C][/ROW]
[ROW][C]0.44[/C][C]0.802566471302143[/C][C]0.000681382692649138[/C][/ROW]
[ROW][C]0.45[/C][C]0.802690225174146[/C][C]0.000675157829646536[/C][/ROW]
[ROW][C]0.46[/C][C]0.802812942637352[/C][C]0.000671006176390619[/C][/ROW]
[ROW][C]0.47[/C][C]0.802935106666054[/C][C]0.000669181594169606[/C][/ROW]
[ROW][C]0.48[/C][C]0.803057289761784[/C][C]0.000671108918101121[/C][/ROW]
[ROW][C]0.49[/C][C]0.803180123611632[/C][C]0.000677267144378884[/C][/ROW]
[ROW][C]0.5[/C][C]0.80330424671025[/C][C]0.00068785393247192[/C][/ROW]
[ROW][C]0.51[/C][C]0.803430240191242[/C][C]0.000701167451913989[/C][/ROW]
[ROW][C]0.52[/C][C]0.803558565125402[/C][C]0.000716259092448862[/C][/ROW]
[ROW][C]0.53[/C][C]0.803689514232652[/C][C]0.000732444577815715[/C][/ROW]
[ROW][C]0.54[/C][C]0.803823187608725[/C][C]0.00074756447882981[/C][/ROW]
[ROW][C]0.55[/C][C]0.803959496705393[/C][C]0.000761315486569497[/C][/ROW]
[ROW][C]0.56[/C][C]0.804098194865211[/C][C]0.000771864970865559[/C][/ROW]
[ROW][C]0.57[/C][C]0.804238927662004[/C][C]0.000779518093496199[/C][/ROW]
[ROW][C]0.58[/C][C]0.804381293241915[/C][C]0.00078423501411248[/C][/ROW]
[ROW][C]0.59[/C][C]0.804524902280668[/C][C]0.000786171430820726[/C][/ROW]
[ROW][C]0.6[/C][C]0.804669428857907[/C][C]0.000786473366194636[/C][/ROW]
[ROW][C]0.61[/C][C]0.80481464671363[/C][C]0.000784802754640653[/C][/ROW]
[ROW][C]0.62[/C][C]0.804960448914904[/C][C]0.000782775421457396[/C][/ROW]
[ROW][C]0.63[/C][C]0.805106851892062[/C][C]0.000780693386270122[/C][/ROW]
[ROW][C]0.64[/C][C]0.805253986423668[/C][C]0.000779785864389697[/C][/ROW]
[ROW][C]0.65[/C][C]0.805402078316104[/C][C]0.000779777443184305[/C][/ROW]
[ROW][C]0.66[/C][C]0.805551420644197[/C][C]0.000780811021026211[/C][/ROW]
[ROW][C]0.67[/C][C]0.805702338301293[/C][C]0.000783606757812268[/C][/ROW]
[ROW][C]0.68[/C][C]0.805855145175733[/C][C]0.000787592436276926[/C][/ROW]
[ROW][C]0.69[/C][C]0.806010095225507[/C][C]0.00079216073934629[/C][/ROW]
[ROW][C]0.7[/C][C]0.806167331219353[/C][C]0.000797805539418055[/C][/ROW]
[ROW][C]0.71[/C][C]0.80632683837486[/C][C]0.000802139695977854[/C][/ROW]
[ROW][C]0.72[/C][C]0.806488413286966[/C][C]0.000804956039724432[/C][/ROW]
[ROW][C]0.73[/C][C]0.806651659779403[/C][C]0.000804442190301302[/C][/ROW]
[ROW][C]0.74[/C][C]0.806816021221152[/C][C]0.000799982910245702[/C][/ROW]
[ROW][C]0.75[/C][C]0.806980852900281[/C][C]0.000791001678645042[/C][/ROW]
[ROW][C]0.76[/C][C]0.807145529057044[/C][C]0.000777438159881147[/C][/ROW]
[ROW][C]0.77[/C][C]0.80730956933302[/C][C]0.000760122943925537[/C][/ROW]
[ROW][C]0.78[/C][C]0.807472761714548[/C][C]0.000741240725383796[/C][/ROW]
[ROW][C]0.79[/C][C]0.807635256470412[/C][C]0.000722947575270945[/C][/ROW]
[ROW][C]0.8[/C][C]0.807797610042806[/C][C]0.000706423884410695[/C][/ROW]
[ROW][C]0.81[/C][C]0.807960769785292[/C][C]0.000694911886191993[/C][/ROW]
[ROW][C]0.82[/C][C]0.808126008763396[/C][C]0.000688300606938873[/C][/ROW]
[ROW][C]0.83[/C][C]0.808294841927609[/C][C]0.000687442105430181[/C][/ROW]
[ROW][C]0.84[/C][C]0.808468976013026[/C][C]0.000691657525684894[/C][/ROW]
[ROW][C]0.85[/C][C]0.808650356883363[/C][C]0.0007010730362459[/C][/ROW]
[ROW][C]0.86[/C][C]0.808841365888345[/C][C]0.000715049826293303[/C][/ROW]
[ROW][C]0.87[/C][C]0.809045163931255[/C][C]0.000734496184151992[/C][/ROW]
[ROW][C]0.88[/C][C]0.809266077093373[/C][C]0.00076385121893716[/C][/ROW]
[ROW][C]0.89[/C][C]0.809509775785415[/C][C]0.000807904118449745[/C][/ROW]
[ROW][C]0.9[/C][C]0.809782890533031[/C][C]0.000870275694657997[/C][/ROW]
[ROW][C]0.91[/C][C]0.810091778600741[/C][C]0.000948836182378153[/C][/ROW]
[ROW][C]0.92[/C][C]0.810440608786665[/C][C]0.00103207394099486[/C][/ROW]
[ROW][C]0.93[/C][C]0.810829901983881[/C][C]0.00109647784679525[/C][/ROW]
[ROW][C]0.94[/C][C]0.811257924539886[/C][C]0.00111815572855144[/C][/ROW]
[ROW][C]0.95[/C][C]0.811727708531916[/C][C]0.00109024047039826[/C][/ROW]
[ROW][C]0.96[/C][C]0.812258981196249[/C][C]0.00104894761797849[/C][/ROW]
[ROW][C]0.97[/C][C]0.81289240500686[/C][C]0.00109472438360187[/C][/ROW]
[ROW][C]0.98[/C][C]0.813655083193749[/C][C]0.00133940596888236[/C][/ROW]
[ROW][C]0.99[/C][C]0.814463417015756[/C][C]0.00175160565867923[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18774&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18774&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
0.010.780932556449970.00493872672337408
0.020.7833955569742080.00433844219910416
0.030.7859293032723430.00420565524775066
0.040.7882235879432920.00423831638239329
0.050.7902240992908960.00409777470543059
0.060.7919342934729170.00370947298265309
0.070.7933560529771690.00315963042931030
0.080.7944987538820730.00257144421125048
0.090.7953900681226320.00203840013004642
0.10.7960729365708520.00161109278305200
0.110.796595762313570.00129971307085040
0.120.7970035532788450.00109393057053549
0.130.7973329939126370.000967149743984015
0.140.797611167543780.000894486083416574
0.150.797856545288590.000854864891660976
0.160.798080926651210.00083235250914021
0.170.798291461307910.00081930309960484
0.180.7984923208539850.00081196887229545
0.190.7986859004605780.000806253941183895
0.20.7988736020824980.00080232382144637
0.210.7990563129445750.000797460729418396
0.220.7992346874739270.000794346231899012
0.230.7994093070033330.000791373868249662
0.240.7995807574830740.000790378792441137
0.250.799749644731520.000792568599573259
0.260.7999165608630950.00079693778914211
0.270.800082018886570.000803223298835167
0.280.8002463777666720.000810262057481987
0.290.8004097819725920.000816323819206199
0.30.800572135348650.000820447875139829
0.310.8007331196607920.00082129517642724
0.320.8008922560233010.000816817065717824
0.330.801048996026120.00080892511545957
0.340.8012028218916520.000797120262107377
0.350.8013533333333340.000782474694991737
0.360.801500303212480.000766720655116363
0.370.8016436931127320.000751908097234844
0.380.801783630834090.000737227441601183
0.390.80192036139870.000725054587300604
0.40.8020541888432730.000714577732208689
0.410.8021854265157420.000705493346985954
0.420.8023143690567410.000696288033094418
0.430.8024412913873020.000688590450118832
0.440.8025664713021430.000681382692649138
0.450.8026902251741460.000675157829646536
0.460.8028129426373520.000671006176390619
0.470.8029351066660540.000669181594169606
0.480.8030572897617840.000671108918101121
0.490.8031801236116320.000677267144378884
0.50.803304246710250.00068785393247192
0.510.8034302401912420.000701167451913989
0.520.8035585651254020.000716259092448862
0.530.8036895142326520.000732444577815715
0.540.8038231876087250.00074756447882981
0.550.8039594967053930.000761315486569497
0.560.8040981948652110.000771864970865559
0.570.8042389276620040.000779518093496199
0.580.8043812932419150.00078423501411248
0.590.8045249022806680.000786171430820726
0.60.8046694288579070.000786473366194636
0.610.804814646713630.000784802754640653
0.620.8049604489149040.000782775421457396
0.630.8051068518920620.000780693386270122
0.640.8052539864236680.000779785864389697
0.650.8054020783161040.000779777443184305
0.660.8055514206441970.000780811021026211
0.670.8057023383012930.000783606757812268
0.680.8058551451757330.000787592436276926
0.690.8060100952255070.00079216073934629
0.70.8061673312193530.000797805539418055
0.710.806326838374860.000802139695977854
0.720.8064884132869660.000804956039724432
0.730.8066516597794030.000804442190301302
0.740.8068160212211520.000799982910245702
0.750.8069808529002810.000791001678645042
0.760.8071455290570440.000777438159881147
0.770.807309569333020.000760122943925537
0.780.8074727617145480.000741240725383796
0.790.8076352564704120.000722947575270945
0.80.8077976100428060.000706423884410695
0.810.8079607697852920.000694911886191993
0.820.8081260087633960.000688300606938873
0.830.8082948419276090.000687442105430181
0.840.8084689760130260.000691657525684894
0.850.8086503568833630.0007010730362459
0.860.8088413658883450.000715049826293303
0.870.8090451639312550.000734496184151992
0.880.8092660770933730.00076385121893716
0.890.8095097757854150.000807904118449745
0.90.8097828905330310.000870275694657997
0.910.8100917786007410.000948836182378153
0.920.8104406087866650.00103207394099486
0.930.8108299019838810.00109647784679525
0.940.8112579245398860.00111815572855144
0.950.8117277085319160.00109024047039826
0.960.8122589811962490.00104894761797849
0.970.812892405006860.00109472438360187
0.980.8136550831937490.00133940596888236
0.990.8144634170157560.00175160565867923


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')