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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 computationThu, 16 Feb 2012 12:37:51 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/16/t1329413965c7ohbmrdb0dnr41.htm/, Retrieved Sun, 28 Apr 2024 11:00:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162707, Retrieved Sun, 28 Apr 2024 11:00:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact99

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] [Hd percentielen g...] [2012-02-16 17:37:51] [91562a5fde803f4db5c5e8dd5d4cb92f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.45
1.45
1.45
1.44
1.44
1.44
1.44
1.45
1.44
1.45
1.46
1.46
1.47
1.46
1.46
1.45
1.45
1.45
1.44
1.45
1.44
1.45
1.47
1.48
1.5
1.5
1.52
1.54
1.55
1.54
1.55
1.54
1.57
1.61
1.62
1.64
1.63
1.63
1.67
1.7
1.69
1.68
1.67
1.68
1.66
1.65
1.65
1.66
1.67
1.67
1.65
1.65
1.65
1.65
1.66
1.66
1.67
1.67
1.67
1.66

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162707&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162707&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162707&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.440001698635558.52451752369059e-06
0.021.440010379294674.55620764197256e-05
0.031.440038329486320.000147562337823885
0.041.440107268219970.000360381327036023
0.051.440248117846740.000722526347352809
0.061.440496728490990.00124628783517142
0.071.440885903750520.00189973618004905
0.081.441435972579420.00260980591597839
0.091.442147190234140.00327508498500772
0.11.442996830218890.00379386433857682
0.111.4439421541880.00409048603735721
0.121.444928351544890.00413387166706831
0.131.445898971332650.00394111729822452
0.141.446805892391640.00356847040149797
0.151.44761648315770.00309681256305629
0.161.448316836491910.00260915345533986
0.171.448911240835990.00218741971760718
0.181.44941892900770.00190237546764584
0.191.449869471216210.00180998570390155
0.21.450298038180020.00193476087400423
0.211.450741368029220.00225943024800517
0.221.451234840098790.00275350484442972
0.231.451810724517120.00338562067764122
0.241.452497479549440.00413768089081553
0.251.45331988319440.00499843632094796
0.261.454299760592620.00596022880276658
0.271.45545706176180.00702717070002777
0.281.456811036492750.00820762739052727
0.291.458381249433890.00951780948309981
0.31.460188194985570.0109686726338427
0.311.462253323987130.0125725057512777
0.321.46459838694040.0143328725418051
0.331.467244122146080.0162342674599721
0.341.470208450371090.0182500449548671
0.351.473504453656720.0203404806970745
0.361.477138489359970.0224529917216447
0.371.481108803843510.0245245129686807
0.381.485404956923840.0264947771255005
0.391.490008253877530.028314716495269
0.41.494893222950150.0299383483882234
0.411.500029997491610.0313495873050127
0.421.505387292211520.0325461663537744
0.431.510935532279430.0335557835883706
0.441.516649627879130.03441924256588
0.451.522510902792530.0351942194114713
0.461.528507788680510.0359400332601756
0.471.534635076926680.0367036917841377
0.481.540891751830470.0375151536958474
0.491.547277674674960.0383672724413437
0.51.553789603447320.0392260931004351
0.511.560417175601850.0400228500271112
0.521.567139520458790.0406660635644007
0.531.573923091865670.0410597419660936
0.541.580721131653840.0411071155555881
0.551.587474922624840.0407321844409529
0.561.594116713435040.039885313050062
0.571.600573948204740.0385523396818553
0.581.606774255045270.0367540769320211
0.591.612650567162420.0345442726862904
0.61.618145773021670.0320043705396605
0.611.623216402391930.0292326794879966
0.621.627835022044920.0263390695733028
0.631.631991201918360.0234299302430739
0.641.635691086944870.0206057213584218
0.651.63895574948330.0179519124618198
0.661.641818593354190.0155358658315785
0.671.644322134545490.0134063180397319
0.681.646514502663640.0115881691290384
0.691.648445997537890.0100903554358174
0.71.650165999292030.0089006713521639
0.711.651720466172770.00798944841187824
0.721.653150161420640.00731667751712675
0.731.654489633922920.00683339317226854
0.741.655766853835320.00649212304471869
0.751.65700330141270.00625319738452211
0.761.658214257311490.0060822026606187
0.771.659409071078280.00595322623644562
0.781.66059129692660.00584170374536108
0.791.661758759067810.0057202445738316
0.81.662903791941830.0055607465608236
0.811.664014027844840.00533714793540466
0.821.66507411613370.00502911955430085
0.831.666068622790840.00463099532860997
0.841.666986085205340.00415640826097733
0.851.667823830966450.00364089309098395
0.861.668592783871430.00314452966202916
0.871.669321168006670.00275151302083533
0.881.670055906901420.00256749927799094
0.891.670860774797110.00268621022175794
0.91.671811184078450.00312203481013152
0.911.672986936782260.00379952751810478
0.921.674465929044860.00460418425575957
0.931.67632251213080.00543186443490907
0.941.67863199521690.00622471909418098
0.951.681475219530680.00698892598301912
0.961.684922835276390.00774414100512036
0.971.688962643939840.00844559069294664
0.981.693340139721850.00901792896434813
0.991.69737139996740.00948218503290631

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.44000169863555 & 8.52451752369059e-06 \tabularnewline
0.02 & 1.44001037929467 & 4.55620764197256e-05 \tabularnewline
0.03 & 1.44003832948632 & 0.000147562337823885 \tabularnewline
0.04 & 1.44010726821997 & 0.000360381327036023 \tabularnewline
0.05 & 1.44024811784674 & 0.000722526347352809 \tabularnewline
0.06 & 1.44049672849099 & 0.00124628783517142 \tabularnewline
0.07 & 1.44088590375052 & 0.00189973618004905 \tabularnewline
0.08 & 1.44143597257942 & 0.00260980591597839 \tabularnewline
0.09 & 1.44214719023414 & 0.00327508498500772 \tabularnewline
0.1 & 1.44299683021889 & 0.00379386433857682 \tabularnewline
0.11 & 1.443942154188 & 0.00409048603735721 \tabularnewline
0.12 & 1.44492835154489 & 0.00413387166706831 \tabularnewline
0.13 & 1.44589897133265 & 0.00394111729822452 \tabularnewline
0.14 & 1.44680589239164 & 0.00356847040149797 \tabularnewline
0.15 & 1.4476164831577 & 0.00309681256305629 \tabularnewline
0.16 & 1.44831683649191 & 0.00260915345533986 \tabularnewline
0.17 & 1.44891124083599 & 0.00218741971760718 \tabularnewline
0.18 & 1.4494189290077 & 0.00190237546764584 \tabularnewline
0.19 & 1.44986947121621 & 0.00180998570390155 \tabularnewline
0.2 & 1.45029803818002 & 0.00193476087400423 \tabularnewline
0.21 & 1.45074136802922 & 0.00225943024800517 \tabularnewline
0.22 & 1.45123484009879 & 0.00275350484442972 \tabularnewline
0.23 & 1.45181072451712 & 0.00338562067764122 \tabularnewline
0.24 & 1.45249747954944 & 0.00413768089081553 \tabularnewline
0.25 & 1.4533198831944 & 0.00499843632094796 \tabularnewline
0.26 & 1.45429976059262 & 0.00596022880276658 \tabularnewline
0.27 & 1.4554570617618 & 0.00702717070002777 \tabularnewline
0.28 & 1.45681103649275 & 0.00820762739052727 \tabularnewline
0.29 & 1.45838124943389 & 0.00951780948309981 \tabularnewline
0.3 & 1.46018819498557 & 0.0109686726338427 \tabularnewline
0.31 & 1.46225332398713 & 0.0125725057512777 \tabularnewline
0.32 & 1.4645983869404 & 0.0143328725418051 \tabularnewline
0.33 & 1.46724412214608 & 0.0162342674599721 \tabularnewline
0.34 & 1.47020845037109 & 0.0182500449548671 \tabularnewline
0.35 & 1.47350445365672 & 0.0203404806970745 \tabularnewline
0.36 & 1.47713848935997 & 0.0224529917216447 \tabularnewline
0.37 & 1.48110880384351 & 0.0245245129686807 \tabularnewline
0.38 & 1.48540495692384 & 0.0264947771255005 \tabularnewline
0.39 & 1.49000825387753 & 0.028314716495269 \tabularnewline
0.4 & 1.49489322295015 & 0.0299383483882234 \tabularnewline
0.41 & 1.50002999749161 & 0.0313495873050127 \tabularnewline
0.42 & 1.50538729221152 & 0.0325461663537744 \tabularnewline
0.43 & 1.51093553227943 & 0.0335557835883706 \tabularnewline
0.44 & 1.51664962787913 & 0.03441924256588 \tabularnewline
0.45 & 1.52251090279253 & 0.0351942194114713 \tabularnewline
0.46 & 1.52850778868051 & 0.0359400332601756 \tabularnewline
0.47 & 1.53463507692668 & 0.0367036917841377 \tabularnewline
0.48 & 1.54089175183047 & 0.0375151536958474 \tabularnewline
0.49 & 1.54727767467496 & 0.0383672724413437 \tabularnewline
0.5 & 1.55378960344732 & 0.0392260931004351 \tabularnewline
0.51 & 1.56041717560185 & 0.0400228500271112 \tabularnewline
0.52 & 1.56713952045879 & 0.0406660635644007 \tabularnewline
0.53 & 1.57392309186567 & 0.0410597419660936 \tabularnewline
0.54 & 1.58072113165384 & 0.0411071155555881 \tabularnewline
0.55 & 1.58747492262484 & 0.0407321844409529 \tabularnewline
0.56 & 1.59411671343504 & 0.039885313050062 \tabularnewline
0.57 & 1.60057394820474 & 0.0385523396818553 \tabularnewline
0.58 & 1.60677425504527 & 0.0367540769320211 \tabularnewline
0.59 & 1.61265056716242 & 0.0345442726862904 \tabularnewline
0.6 & 1.61814577302167 & 0.0320043705396605 \tabularnewline
0.61 & 1.62321640239193 & 0.0292326794879966 \tabularnewline
0.62 & 1.62783502204492 & 0.0263390695733028 \tabularnewline
0.63 & 1.63199120191836 & 0.0234299302430739 \tabularnewline
0.64 & 1.63569108694487 & 0.0206057213584218 \tabularnewline
0.65 & 1.6389557494833 & 0.0179519124618198 \tabularnewline
0.66 & 1.64181859335419 & 0.0155358658315785 \tabularnewline
0.67 & 1.64432213454549 & 0.0134063180397319 \tabularnewline
0.68 & 1.64651450266364 & 0.0115881691290384 \tabularnewline
0.69 & 1.64844599753789 & 0.0100903554358174 \tabularnewline
0.7 & 1.65016599929203 & 0.0089006713521639 \tabularnewline
0.71 & 1.65172046617277 & 0.00798944841187824 \tabularnewline
0.72 & 1.65315016142064 & 0.00731667751712675 \tabularnewline
0.73 & 1.65448963392292 & 0.00683339317226854 \tabularnewline
0.74 & 1.65576685383532 & 0.00649212304471869 \tabularnewline
0.75 & 1.6570033014127 & 0.00625319738452211 \tabularnewline
0.76 & 1.65821425731149 & 0.0060822026606187 \tabularnewline
0.77 & 1.65940907107828 & 0.00595322623644562 \tabularnewline
0.78 & 1.6605912969266 & 0.00584170374536108 \tabularnewline
0.79 & 1.66175875906781 & 0.0057202445738316 \tabularnewline
0.8 & 1.66290379194183 & 0.0055607465608236 \tabularnewline
0.81 & 1.66401402784484 & 0.00533714793540466 \tabularnewline
0.82 & 1.6650741161337 & 0.00502911955430085 \tabularnewline
0.83 & 1.66606862279084 & 0.00463099532860997 \tabularnewline
0.84 & 1.66698608520534 & 0.00415640826097733 \tabularnewline
0.85 & 1.66782383096645 & 0.00364089309098395 \tabularnewline
0.86 & 1.66859278387143 & 0.00314452966202916 \tabularnewline
0.87 & 1.66932116800667 & 0.00275151302083533 \tabularnewline
0.88 & 1.67005590690142 & 0.00256749927799094 \tabularnewline
0.89 & 1.67086077479711 & 0.00268621022175794 \tabularnewline
0.9 & 1.67181118407845 & 0.00312203481013152 \tabularnewline
0.91 & 1.67298693678226 & 0.00379952751810478 \tabularnewline
0.92 & 1.67446592904486 & 0.00460418425575957 \tabularnewline
0.93 & 1.6763225121308 & 0.00543186443490907 \tabularnewline
0.94 & 1.6786319952169 & 0.00622471909418098 \tabularnewline
0.95 & 1.68147521953068 & 0.00698892598301912 \tabularnewline
0.96 & 1.68492283527639 & 0.00774414100512036 \tabularnewline
0.97 & 1.68896264393984 & 0.00844559069294664 \tabularnewline
0.98 & 1.69334013972185 & 0.00901792896434813 \tabularnewline
0.99 & 1.6973713999674 & 0.00948218503290631 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162707&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]1.44000169863555[/C][C]8.52451752369059e-06[/C][/ROW]
[ROW][C]0.02[/C][C]1.44001037929467[/C][C]4.55620764197256e-05[/C][/ROW]
[ROW][C]0.03[/C][C]1.44003832948632[/C][C]0.000147562337823885[/C][/ROW]
[ROW][C]0.04[/C][C]1.44010726821997[/C][C]0.000360381327036023[/C][/ROW]
[ROW][C]0.05[/C][C]1.44024811784674[/C][C]0.000722526347352809[/C][/ROW]
[ROW][C]0.06[/C][C]1.44049672849099[/C][C]0.00124628783517142[/C][/ROW]
[ROW][C]0.07[/C][C]1.44088590375052[/C][C]0.00189973618004905[/C][/ROW]
[ROW][C]0.08[/C][C]1.44143597257942[/C][C]0.00260980591597839[/C][/ROW]
[ROW][C]0.09[/C][C]1.44214719023414[/C][C]0.00327508498500772[/C][/ROW]
[ROW][C]0.1[/C][C]1.44299683021889[/C][C]0.00379386433857682[/C][/ROW]
[ROW][C]0.11[/C][C]1.443942154188[/C][C]0.00409048603735721[/C][/ROW]
[ROW][C]0.12[/C][C]1.44492835154489[/C][C]0.00413387166706831[/C][/ROW]
[ROW][C]0.13[/C][C]1.44589897133265[/C][C]0.00394111729822452[/C][/ROW]
[ROW][C]0.14[/C][C]1.44680589239164[/C][C]0.00356847040149797[/C][/ROW]
[ROW][C]0.15[/C][C]1.4476164831577[/C][C]0.00309681256305629[/C][/ROW]
[ROW][C]0.16[/C][C]1.44831683649191[/C][C]0.00260915345533986[/C][/ROW]
[ROW][C]0.17[/C][C]1.44891124083599[/C][C]0.00218741971760718[/C][/ROW]
[ROW][C]0.18[/C][C]1.4494189290077[/C][C]0.00190237546764584[/C][/ROW]
[ROW][C]0.19[/C][C]1.44986947121621[/C][C]0.00180998570390155[/C][/ROW]
[ROW][C]0.2[/C][C]1.45029803818002[/C][C]0.00193476087400423[/C][/ROW]
[ROW][C]0.21[/C][C]1.45074136802922[/C][C]0.00225943024800517[/C][/ROW]
[ROW][C]0.22[/C][C]1.45123484009879[/C][C]0.00275350484442972[/C][/ROW]
[ROW][C]0.23[/C][C]1.45181072451712[/C][C]0.00338562067764122[/C][/ROW]
[ROW][C]0.24[/C][C]1.45249747954944[/C][C]0.00413768089081553[/C][/ROW]
[ROW][C]0.25[/C][C]1.4533198831944[/C][C]0.00499843632094796[/C][/ROW]
[ROW][C]0.26[/C][C]1.45429976059262[/C][C]0.00596022880276658[/C][/ROW]
[ROW][C]0.27[/C][C]1.4554570617618[/C][C]0.00702717070002777[/C][/ROW]
[ROW][C]0.28[/C][C]1.45681103649275[/C][C]0.00820762739052727[/C][/ROW]
[ROW][C]0.29[/C][C]1.45838124943389[/C][C]0.00951780948309981[/C][/ROW]
[ROW][C]0.3[/C][C]1.46018819498557[/C][C]0.0109686726338427[/C][/ROW]
[ROW][C]0.31[/C][C]1.46225332398713[/C][C]0.0125725057512777[/C][/ROW]
[ROW][C]0.32[/C][C]1.4645983869404[/C][C]0.0143328725418051[/C][/ROW]
[ROW][C]0.33[/C][C]1.46724412214608[/C][C]0.0162342674599721[/C][/ROW]
[ROW][C]0.34[/C][C]1.47020845037109[/C][C]0.0182500449548671[/C][/ROW]
[ROW][C]0.35[/C][C]1.47350445365672[/C][C]0.0203404806970745[/C][/ROW]
[ROW][C]0.36[/C][C]1.47713848935997[/C][C]0.0224529917216447[/C][/ROW]
[ROW][C]0.37[/C][C]1.48110880384351[/C][C]0.0245245129686807[/C][/ROW]
[ROW][C]0.38[/C][C]1.48540495692384[/C][C]0.0264947771255005[/C][/ROW]
[ROW][C]0.39[/C][C]1.49000825387753[/C][C]0.028314716495269[/C][/ROW]
[ROW][C]0.4[/C][C]1.49489322295015[/C][C]0.0299383483882234[/C][/ROW]
[ROW][C]0.41[/C][C]1.50002999749161[/C][C]0.0313495873050127[/C][/ROW]
[ROW][C]0.42[/C][C]1.50538729221152[/C][C]0.0325461663537744[/C][/ROW]
[ROW][C]0.43[/C][C]1.51093553227943[/C][C]0.0335557835883706[/C][/ROW]
[ROW][C]0.44[/C][C]1.51664962787913[/C][C]0.03441924256588[/C][/ROW]
[ROW][C]0.45[/C][C]1.52251090279253[/C][C]0.0351942194114713[/C][/ROW]
[ROW][C]0.46[/C][C]1.52850778868051[/C][C]0.0359400332601756[/C][/ROW]
[ROW][C]0.47[/C][C]1.53463507692668[/C][C]0.0367036917841377[/C][/ROW]
[ROW][C]0.48[/C][C]1.54089175183047[/C][C]0.0375151536958474[/C][/ROW]
[ROW][C]0.49[/C][C]1.54727767467496[/C][C]0.0383672724413437[/C][/ROW]
[ROW][C]0.5[/C][C]1.55378960344732[/C][C]0.0392260931004351[/C][/ROW]
[ROW][C]0.51[/C][C]1.56041717560185[/C][C]0.0400228500271112[/C][/ROW]
[ROW][C]0.52[/C][C]1.56713952045879[/C][C]0.0406660635644007[/C][/ROW]
[ROW][C]0.53[/C][C]1.57392309186567[/C][C]0.0410597419660936[/C][/ROW]
[ROW][C]0.54[/C][C]1.58072113165384[/C][C]0.0411071155555881[/C][/ROW]
[ROW][C]0.55[/C][C]1.58747492262484[/C][C]0.0407321844409529[/C][/ROW]
[ROW][C]0.56[/C][C]1.59411671343504[/C][C]0.039885313050062[/C][/ROW]
[ROW][C]0.57[/C][C]1.60057394820474[/C][C]0.0385523396818553[/C][/ROW]
[ROW][C]0.58[/C][C]1.60677425504527[/C][C]0.0367540769320211[/C][/ROW]
[ROW][C]0.59[/C][C]1.61265056716242[/C][C]0.0345442726862904[/C][/ROW]
[ROW][C]0.6[/C][C]1.61814577302167[/C][C]0.0320043705396605[/C][/ROW]
[ROW][C]0.61[/C][C]1.62321640239193[/C][C]0.0292326794879966[/C][/ROW]
[ROW][C]0.62[/C][C]1.62783502204492[/C][C]0.0263390695733028[/C][/ROW]
[ROW][C]0.63[/C][C]1.63199120191836[/C][C]0.0234299302430739[/C][/ROW]
[ROW][C]0.64[/C][C]1.63569108694487[/C][C]0.0206057213584218[/C][/ROW]
[ROW][C]0.65[/C][C]1.6389557494833[/C][C]0.0179519124618198[/C][/ROW]
[ROW][C]0.66[/C][C]1.64181859335419[/C][C]0.0155358658315785[/C][/ROW]
[ROW][C]0.67[/C][C]1.64432213454549[/C][C]0.0134063180397319[/C][/ROW]
[ROW][C]0.68[/C][C]1.64651450266364[/C][C]0.0115881691290384[/C][/ROW]
[ROW][C]0.69[/C][C]1.64844599753789[/C][C]0.0100903554358174[/C][/ROW]
[ROW][C]0.7[/C][C]1.65016599929203[/C][C]0.0089006713521639[/C][/ROW]
[ROW][C]0.71[/C][C]1.65172046617277[/C][C]0.00798944841187824[/C][/ROW]
[ROW][C]0.72[/C][C]1.65315016142064[/C][C]0.00731667751712675[/C][/ROW]
[ROW][C]0.73[/C][C]1.65448963392292[/C][C]0.00683339317226854[/C][/ROW]
[ROW][C]0.74[/C][C]1.65576685383532[/C][C]0.00649212304471869[/C][/ROW]
[ROW][C]0.75[/C][C]1.6570033014127[/C][C]0.00625319738452211[/C][/ROW]
[ROW][C]0.76[/C][C]1.65821425731149[/C][C]0.0060822026606187[/C][/ROW]
[ROW][C]0.77[/C][C]1.65940907107828[/C][C]0.00595322623644562[/C][/ROW]
[ROW][C]0.78[/C][C]1.6605912969266[/C][C]0.00584170374536108[/C][/ROW]
[ROW][C]0.79[/C][C]1.66175875906781[/C][C]0.0057202445738316[/C][/ROW]
[ROW][C]0.8[/C][C]1.66290379194183[/C][C]0.0055607465608236[/C][/ROW]
[ROW][C]0.81[/C][C]1.66401402784484[/C][C]0.00533714793540466[/C][/ROW]
[ROW][C]0.82[/C][C]1.6650741161337[/C][C]0.00502911955430085[/C][/ROW]
[ROW][C]0.83[/C][C]1.66606862279084[/C][C]0.00463099532860997[/C][/ROW]
[ROW][C]0.84[/C][C]1.66698608520534[/C][C]0.00415640826097733[/C][/ROW]
[ROW][C]0.85[/C][C]1.66782383096645[/C][C]0.00364089309098395[/C][/ROW]
[ROW][C]0.86[/C][C]1.66859278387143[/C][C]0.00314452966202916[/C][/ROW]
[ROW][C]0.87[/C][C]1.66932116800667[/C][C]0.00275151302083533[/C][/ROW]
[ROW][C]0.88[/C][C]1.67005590690142[/C][C]0.00256749927799094[/C][/ROW]
[ROW][C]0.89[/C][C]1.67086077479711[/C][C]0.00268621022175794[/C][/ROW]
[ROW][C]0.9[/C][C]1.67181118407845[/C][C]0.00312203481013152[/C][/ROW]
[ROW][C]0.91[/C][C]1.67298693678226[/C][C]0.00379952751810478[/C][/ROW]
[ROW][C]0.92[/C][C]1.67446592904486[/C][C]0.00460418425575957[/C][/ROW]
[ROW][C]0.93[/C][C]1.6763225121308[/C][C]0.00543186443490907[/C][/ROW]
[ROW][C]0.94[/C][C]1.6786319952169[/C][C]0.00622471909418098[/C][/ROW]
[ROW][C]0.95[/C][C]1.68147521953068[/C][C]0.00698892598301912[/C][/ROW]
[ROW][C]0.96[/C][C]1.68492283527639[/C][C]0.00774414100512036[/C][/ROW]
[ROW][C]0.97[/C][C]1.68896264393984[/C][C]0.00844559069294664[/C][/ROW]
[ROW][C]0.98[/C][C]1.69334013972185[/C][C]0.00901792896434813[/C][/ROW]
[ROW][C]0.99[/C][C]1.6973713999674[/C][C]0.00948218503290631[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162707&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162707&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
0.011.440001698635558.52451752369059e-06
0.021.440010379294674.55620764197256e-05
0.031.440038329486320.000147562337823885
0.041.440107268219970.000360381327036023
0.051.440248117846740.000722526347352809
0.061.440496728490990.00124628783517142
0.071.440885903750520.00189973618004905
0.081.441435972579420.00260980591597839
0.091.442147190234140.00327508498500772
0.11.442996830218890.00379386433857682
0.111.4439421541880.00409048603735721
0.121.444928351544890.00413387166706831
0.131.445898971332650.00394111729822452
0.141.446805892391640.00356847040149797
0.151.44761648315770.00309681256305629
0.161.448316836491910.00260915345533986
0.171.448911240835990.00218741971760718
0.181.44941892900770.00190237546764584
0.191.449869471216210.00180998570390155
0.21.450298038180020.00193476087400423
0.211.450741368029220.00225943024800517
0.221.451234840098790.00275350484442972
0.231.451810724517120.00338562067764122
0.241.452497479549440.00413768089081553
0.251.45331988319440.00499843632094796
0.261.454299760592620.00596022880276658
0.271.45545706176180.00702717070002777
0.281.456811036492750.00820762739052727
0.291.458381249433890.00951780948309981
0.31.460188194985570.0109686726338427
0.311.462253323987130.0125725057512777
0.321.46459838694040.0143328725418051
0.331.467244122146080.0162342674599721
0.341.470208450371090.0182500449548671
0.351.473504453656720.0203404806970745
0.361.477138489359970.0224529917216447
0.371.481108803843510.0245245129686807
0.381.485404956923840.0264947771255005
0.391.490008253877530.028314716495269
0.41.494893222950150.0299383483882234
0.411.500029997491610.0313495873050127
0.421.505387292211520.0325461663537744
0.431.510935532279430.0335557835883706
0.441.516649627879130.03441924256588
0.451.522510902792530.0351942194114713
0.461.528507788680510.0359400332601756
0.471.534635076926680.0367036917841377
0.481.540891751830470.0375151536958474
0.491.547277674674960.0383672724413437
0.51.553789603447320.0392260931004351
0.511.560417175601850.0400228500271112
0.521.567139520458790.0406660635644007
0.531.573923091865670.0410597419660936
0.541.580721131653840.0411071155555881
0.551.587474922624840.0407321844409529
0.561.594116713435040.039885313050062
0.571.600573948204740.0385523396818553
0.581.606774255045270.0367540769320211
0.591.612650567162420.0345442726862904
0.61.618145773021670.0320043705396605
0.611.623216402391930.0292326794879966
0.621.627835022044920.0263390695733028
0.631.631991201918360.0234299302430739
0.641.635691086944870.0206057213584218
0.651.63895574948330.0179519124618198
0.661.641818593354190.0155358658315785
0.671.644322134545490.0134063180397319
0.681.646514502663640.0115881691290384
0.691.648445997537890.0100903554358174
0.71.650165999292030.0089006713521639
0.711.651720466172770.00798944841187824
0.721.653150161420640.00731667751712675
0.731.654489633922920.00683339317226854
0.741.655766853835320.00649212304471869
0.751.65700330141270.00625319738452211
0.761.658214257311490.0060822026606187
0.771.659409071078280.00595322623644562
0.781.66059129692660.00584170374536108
0.791.661758759067810.0057202445738316
0.81.662903791941830.0055607465608236
0.811.664014027844840.00533714793540466
0.821.66507411613370.00502911955430085
0.831.666068622790840.00463099532860997
0.841.666986085205340.00415640826097733
0.851.667823830966450.00364089309098395
0.861.668592783871430.00314452966202916
0.871.669321168006670.00275151302083533
0.881.670055906901420.00256749927799094
0.891.670860774797110.00268621022175794
0.91.671811184078450.00312203481013152
0.911.672986936782260.00379952751810478
0.921.674465929044860.00460418425575957
0.931.67632251213080.00543186443490907
0.941.67863199521690.00622471909418098
0.951.681475219530680.00698892598301912
0.961.684922835276390.00774414100512036
0.971.688962643939840.00844559069294664
0.981.693340139721850.00901792896434813
0.991.69737139996740.00948218503290631


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')