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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 computationSun, 16 Feb 2014 12:07:54 -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/2014/Feb/16/t13925705310x6m503sokixdy4.htm/, Retrieved Thu, 12 Feb 2026 03:58:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233775, Retrieved Thu, 12 Feb 2026 03:58:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact321

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] [] [2014-02-16 17:07:54] [8f84a338303fe8d74ac0d8ad91c8b331] [Current]
- R PD    [Harrell-Davis Quantiles] [] [2014-02-20 07:49:40] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6,81
6,8
6,8
6,85
6,85
6,85
6,85
6,85
6,85
6,86
6,86
6,88
6,88
6,88
6,91
6,91
6,91
6,91
6,99
6,99
6,99
7,02
7,02
7,05
7,05
7,05
7,05
7,1
7,1
7,1
7,1
7,12
7,13
7,18
7,24
7,24
7,24
7,27
7,27
7,27
7,27
7,3
7,3
7,57
7,76
7,94
7,94
7,96
7,96
7,98
7,99
8
8
8,04
8,04
8,04
8,04
8,04
8,07
8,07
8,07
8,07
8,11
8,11
8,12
8,11
8,13
8,15
8,16
8,2
8,2
8,2
8,2
8,2
8,23
8,25
8,26
8,31
8,33
8,33
8,36
8,39
8,41
8,5

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'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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233775&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233775&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233775&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.802387402761110.00685392684920483
0.026.808705012373390.0157191640297921
0.036.818140652326180.0204635112055875
0.046.82830741412420.0194529054074217
0.056.837075558027460.0150211914865529
0.066.843582217075130.010362996270617
0.076.848117379432940.0076207650544658
0.086.851511067110070.00752650648892074
0.096.854605276672820.009357018597119
0.16.8580071182670.0121316283348547
0.116.862060330069390.0153084114640431
0.126.866914805461160.0186389774501941
0.136.872612556876270.0220578930563144
0.146.879154796179590.0256119901045142
0.156.88654089796270.0293825583865003
0.166.894780758706620.0334334948589516
0.176.903886646384520.0377001096537746
0.186.913853296381450.0419991554792974
0.196.924636174500770.0460621228430185
0.26.936136893671540.0495583220440047
0.216.94820165373040.052219564565858
0.226.960634071821330.053877973529185
0.236.973219281915150.0545019140282487
0.246.985753118279670.0542383485461443
0.256.998069393913620.053321604726686
0.267.010059680590920.052075708802861
0.277.021682747310530.0508368375900109
0.287.032963740039260.049908330689426
0.297.043985306147150.0495228328671635
0.37.054873746025920.0498694392162094
0.317.065783068235380.0510222577508812
0.327.076879073302570.0530095890360773
0.337.08832490150330.0557683817021535
0.347.100269245169360.0592157333479293
0.357.112838679578590.0631994032743839
0.367.126135993790070.0675579558043021
0.377.140246490475210.0722034775953248
0.387.155253487270630.0771391109360506
0.397.17126246550680.0825493441818295
0.47.188430661810790.0888307513455326
0.417.206996002257780.0965692382406715
0.427.227297053642720.106495770457554
0.437.249775068234320.119255100399804
0.447.274950910239930.135280332364294
0.457.303373806846250.154540336604921
0.467.335544892645260.17645960625418
0.477.371825172271570.199929560001022
0.487.412343144945350.223350535873543
0.497.456920240752090.244826542497813
0.57.505031222738990.26239161869676
0.517.555811536798080.27429787839029
0.527.608115091787750.27924875515542
0.537.660615979938290.276629453801119
0.547.711938609756210.266560587890378
0.557.760794907419910.249903985597734
0.567.806106131279590.228104374230335
0.577.847090658855940.20295978695081
0.587.883306740739740.176380929126291
0.597.91464859402110.150114313270155
0.67.941302933064790.125610355753907
0.617.963679108060910.103856848991553
0.627.982328374522510.0854136882018007
0.637.997866506537010.0704113833326044
0.648.010909995739060.0586978044441418
0.658.022030953562260.049909172097792
0.668.031731045965830.0435792866469537
0.678.040431390129890.0392425991243841
0.688.048473743869080.0364594047343116
0.698.05612832529230.0348532389100356
0.78.063604616138120.0341213707701028
0.718.071062809530510.0340183115953009
0.728.078624578949160.0343509350969474
0.738.086382292075560.0349890139213702
0.748.09440575380730.0358418793000077
0.758.102745420217760.0368303941776115
0.768.111431294836970.0378893478614575
0.778.120467798852210.0389128524022636
0.788.129826810321340.0397620709095093
0.798.139443239346810.0402382877567898
0.88.149218864738630.040179076944939
0.818.159039454037480.0394757247015615
0.828.168806645093060.038191512791759
0.838.178480051179930.0365881892963124
0.848.188118380778980.0351189674534218
0.858.197903886805290.0343649276539574
0.868.20813492628910.0348427893484507
0.878.219178182935450.0367385217041174
0.888.231384543075090.0397652823511164
0.898.244988373419920.0432251873567951
0.98.260025143408570.0461913589795969
0.918.2763102437530.047780107004005
0.928.293511828636520.0474996549174455
0.938.311314881169950.045539492400536
0.948.329631206415870.0427889871718283
0.958.34882964789260.0403842026933183
0.968.370092069019880.0391072148298379
0.978.395930773286270.0404540495950618
0.988.429575785846590.0493849514749296
0.998.469481051156220.0693873893311938

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.80238740276111 & 0.00685392684920483 \tabularnewline
0.02 & 6.80870501237339 & 0.0157191640297921 \tabularnewline
0.03 & 6.81814065232618 & 0.0204635112055875 \tabularnewline
0.04 & 6.8283074141242 & 0.0194529054074217 \tabularnewline
0.05 & 6.83707555802746 & 0.0150211914865529 \tabularnewline
0.06 & 6.84358221707513 & 0.010362996270617 \tabularnewline
0.07 & 6.84811737943294 & 0.0076207650544658 \tabularnewline
0.08 & 6.85151106711007 & 0.00752650648892074 \tabularnewline
0.09 & 6.85460527667282 & 0.009357018597119 \tabularnewline
0.1 & 6.858007118267 & 0.0121316283348547 \tabularnewline
0.11 & 6.86206033006939 & 0.0153084114640431 \tabularnewline
0.12 & 6.86691480546116 & 0.0186389774501941 \tabularnewline
0.13 & 6.87261255687627 & 0.0220578930563144 \tabularnewline
0.14 & 6.87915479617959 & 0.0256119901045142 \tabularnewline
0.15 & 6.8865408979627 & 0.0293825583865003 \tabularnewline
0.16 & 6.89478075870662 & 0.0334334948589516 \tabularnewline
0.17 & 6.90388664638452 & 0.0377001096537746 \tabularnewline
0.18 & 6.91385329638145 & 0.0419991554792974 \tabularnewline
0.19 & 6.92463617450077 & 0.0460621228430185 \tabularnewline
0.2 & 6.93613689367154 & 0.0495583220440047 \tabularnewline
0.21 & 6.9482016537304 & 0.052219564565858 \tabularnewline
0.22 & 6.96063407182133 & 0.053877973529185 \tabularnewline
0.23 & 6.97321928191515 & 0.0545019140282487 \tabularnewline
0.24 & 6.98575311827967 & 0.0542383485461443 \tabularnewline
0.25 & 6.99806939391362 & 0.053321604726686 \tabularnewline
0.26 & 7.01005968059092 & 0.052075708802861 \tabularnewline
0.27 & 7.02168274731053 & 0.0508368375900109 \tabularnewline
0.28 & 7.03296374003926 & 0.049908330689426 \tabularnewline
0.29 & 7.04398530614715 & 0.0495228328671635 \tabularnewline
0.3 & 7.05487374602592 & 0.0498694392162094 \tabularnewline
0.31 & 7.06578306823538 & 0.0510222577508812 \tabularnewline
0.32 & 7.07687907330257 & 0.0530095890360773 \tabularnewline
0.33 & 7.0883249015033 & 0.0557683817021535 \tabularnewline
0.34 & 7.10026924516936 & 0.0592157333479293 \tabularnewline
0.35 & 7.11283867957859 & 0.0631994032743839 \tabularnewline
0.36 & 7.12613599379007 & 0.0675579558043021 \tabularnewline
0.37 & 7.14024649047521 & 0.0722034775953248 \tabularnewline
0.38 & 7.15525348727063 & 0.0771391109360506 \tabularnewline
0.39 & 7.1712624655068 & 0.0825493441818295 \tabularnewline
0.4 & 7.18843066181079 & 0.0888307513455326 \tabularnewline
0.41 & 7.20699600225778 & 0.0965692382406715 \tabularnewline
0.42 & 7.22729705364272 & 0.106495770457554 \tabularnewline
0.43 & 7.24977506823432 & 0.119255100399804 \tabularnewline
0.44 & 7.27495091023993 & 0.135280332364294 \tabularnewline
0.45 & 7.30337380684625 & 0.154540336604921 \tabularnewline
0.46 & 7.33554489264526 & 0.17645960625418 \tabularnewline
0.47 & 7.37182517227157 & 0.199929560001022 \tabularnewline
0.48 & 7.41234314494535 & 0.223350535873543 \tabularnewline
0.49 & 7.45692024075209 & 0.244826542497813 \tabularnewline
0.5 & 7.50503122273899 & 0.26239161869676 \tabularnewline
0.51 & 7.55581153679808 & 0.27429787839029 \tabularnewline
0.52 & 7.60811509178775 & 0.27924875515542 \tabularnewline
0.53 & 7.66061597993829 & 0.276629453801119 \tabularnewline
0.54 & 7.71193860975621 & 0.266560587890378 \tabularnewline
0.55 & 7.76079490741991 & 0.249903985597734 \tabularnewline
0.56 & 7.80610613127959 & 0.228104374230335 \tabularnewline
0.57 & 7.84709065885594 & 0.20295978695081 \tabularnewline
0.58 & 7.88330674073974 & 0.176380929126291 \tabularnewline
0.59 & 7.9146485940211 & 0.150114313270155 \tabularnewline
0.6 & 7.94130293306479 & 0.125610355753907 \tabularnewline
0.61 & 7.96367910806091 & 0.103856848991553 \tabularnewline
0.62 & 7.98232837452251 & 0.0854136882018007 \tabularnewline
0.63 & 7.99786650653701 & 0.0704113833326044 \tabularnewline
0.64 & 8.01090999573906 & 0.0586978044441418 \tabularnewline
0.65 & 8.02203095356226 & 0.049909172097792 \tabularnewline
0.66 & 8.03173104596583 & 0.0435792866469537 \tabularnewline
0.67 & 8.04043139012989 & 0.0392425991243841 \tabularnewline
0.68 & 8.04847374386908 & 0.0364594047343116 \tabularnewline
0.69 & 8.0561283252923 & 0.0348532389100356 \tabularnewline
0.7 & 8.06360461613812 & 0.0341213707701028 \tabularnewline
0.71 & 8.07106280953051 & 0.0340183115953009 \tabularnewline
0.72 & 8.07862457894916 & 0.0343509350969474 \tabularnewline
0.73 & 8.08638229207556 & 0.0349890139213702 \tabularnewline
0.74 & 8.0944057538073 & 0.0358418793000077 \tabularnewline
0.75 & 8.10274542021776 & 0.0368303941776115 \tabularnewline
0.76 & 8.11143129483697 & 0.0378893478614575 \tabularnewline
0.77 & 8.12046779885221 & 0.0389128524022636 \tabularnewline
0.78 & 8.12982681032134 & 0.0397620709095093 \tabularnewline
0.79 & 8.13944323934681 & 0.0402382877567898 \tabularnewline
0.8 & 8.14921886473863 & 0.040179076944939 \tabularnewline
0.81 & 8.15903945403748 & 0.0394757247015615 \tabularnewline
0.82 & 8.16880664509306 & 0.038191512791759 \tabularnewline
0.83 & 8.17848005117993 & 0.0365881892963124 \tabularnewline
0.84 & 8.18811838077898 & 0.0351189674534218 \tabularnewline
0.85 & 8.19790388680529 & 0.0343649276539574 \tabularnewline
0.86 & 8.2081349262891 & 0.0348427893484507 \tabularnewline
0.87 & 8.21917818293545 & 0.0367385217041174 \tabularnewline
0.88 & 8.23138454307509 & 0.0397652823511164 \tabularnewline
0.89 & 8.24498837341992 & 0.0432251873567951 \tabularnewline
0.9 & 8.26002514340857 & 0.0461913589795969 \tabularnewline
0.91 & 8.276310243753 & 0.047780107004005 \tabularnewline
0.92 & 8.29351182863652 & 0.0474996549174455 \tabularnewline
0.93 & 8.31131488116995 & 0.045539492400536 \tabularnewline
0.94 & 8.32963120641587 & 0.0427889871718283 \tabularnewline
0.95 & 8.3488296478926 & 0.0403842026933183 \tabularnewline
0.96 & 8.37009206901988 & 0.0391072148298379 \tabularnewline
0.97 & 8.39593077328627 & 0.0404540495950618 \tabularnewline
0.98 & 8.42957578584659 & 0.0493849514749296 \tabularnewline
0.99 & 8.46948105115622 & 0.0693873893311938 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233775&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]6.80238740276111[/C][C]0.00685392684920483[/C][/ROW]
[ROW][C]0.02[/C][C]6.80870501237339[/C][C]0.0157191640297921[/C][/ROW]
[ROW][C]0.03[/C][C]6.81814065232618[/C][C]0.0204635112055875[/C][/ROW]
[ROW][C]0.04[/C][C]6.8283074141242[/C][C]0.0194529054074217[/C][/ROW]
[ROW][C]0.05[/C][C]6.83707555802746[/C][C]0.0150211914865529[/C][/ROW]
[ROW][C]0.06[/C][C]6.84358221707513[/C][C]0.010362996270617[/C][/ROW]
[ROW][C]0.07[/C][C]6.84811737943294[/C][C]0.0076207650544658[/C][/ROW]
[ROW][C]0.08[/C][C]6.85151106711007[/C][C]0.00752650648892074[/C][/ROW]
[ROW][C]0.09[/C][C]6.85460527667282[/C][C]0.009357018597119[/C][/ROW]
[ROW][C]0.1[/C][C]6.858007118267[/C][C]0.0121316283348547[/C][/ROW]
[ROW][C]0.11[/C][C]6.86206033006939[/C][C]0.0153084114640431[/C][/ROW]
[ROW][C]0.12[/C][C]6.86691480546116[/C][C]0.0186389774501941[/C][/ROW]
[ROW][C]0.13[/C][C]6.87261255687627[/C][C]0.0220578930563144[/C][/ROW]
[ROW][C]0.14[/C][C]6.87915479617959[/C][C]0.0256119901045142[/C][/ROW]
[ROW][C]0.15[/C][C]6.8865408979627[/C][C]0.0293825583865003[/C][/ROW]
[ROW][C]0.16[/C][C]6.89478075870662[/C][C]0.0334334948589516[/C][/ROW]
[ROW][C]0.17[/C][C]6.90388664638452[/C][C]0.0377001096537746[/C][/ROW]
[ROW][C]0.18[/C][C]6.91385329638145[/C][C]0.0419991554792974[/C][/ROW]
[ROW][C]0.19[/C][C]6.92463617450077[/C][C]0.0460621228430185[/C][/ROW]
[ROW][C]0.2[/C][C]6.93613689367154[/C][C]0.0495583220440047[/C][/ROW]
[ROW][C]0.21[/C][C]6.9482016537304[/C][C]0.052219564565858[/C][/ROW]
[ROW][C]0.22[/C][C]6.96063407182133[/C][C]0.053877973529185[/C][/ROW]
[ROW][C]0.23[/C][C]6.97321928191515[/C][C]0.0545019140282487[/C][/ROW]
[ROW][C]0.24[/C][C]6.98575311827967[/C][C]0.0542383485461443[/C][/ROW]
[ROW][C]0.25[/C][C]6.99806939391362[/C][C]0.053321604726686[/C][/ROW]
[ROW][C]0.26[/C][C]7.01005968059092[/C][C]0.052075708802861[/C][/ROW]
[ROW][C]0.27[/C][C]7.02168274731053[/C][C]0.0508368375900109[/C][/ROW]
[ROW][C]0.28[/C][C]7.03296374003926[/C][C]0.049908330689426[/C][/ROW]
[ROW][C]0.29[/C][C]7.04398530614715[/C][C]0.0495228328671635[/C][/ROW]
[ROW][C]0.3[/C][C]7.05487374602592[/C][C]0.0498694392162094[/C][/ROW]
[ROW][C]0.31[/C][C]7.06578306823538[/C][C]0.0510222577508812[/C][/ROW]
[ROW][C]0.32[/C][C]7.07687907330257[/C][C]0.0530095890360773[/C][/ROW]
[ROW][C]0.33[/C][C]7.0883249015033[/C][C]0.0557683817021535[/C][/ROW]
[ROW][C]0.34[/C][C]7.10026924516936[/C][C]0.0592157333479293[/C][/ROW]
[ROW][C]0.35[/C][C]7.11283867957859[/C][C]0.0631994032743839[/C][/ROW]
[ROW][C]0.36[/C][C]7.12613599379007[/C][C]0.0675579558043021[/C][/ROW]
[ROW][C]0.37[/C][C]7.14024649047521[/C][C]0.0722034775953248[/C][/ROW]
[ROW][C]0.38[/C][C]7.15525348727063[/C][C]0.0771391109360506[/C][/ROW]
[ROW][C]0.39[/C][C]7.1712624655068[/C][C]0.0825493441818295[/C][/ROW]
[ROW][C]0.4[/C][C]7.18843066181079[/C][C]0.0888307513455326[/C][/ROW]
[ROW][C]0.41[/C][C]7.20699600225778[/C][C]0.0965692382406715[/C][/ROW]
[ROW][C]0.42[/C][C]7.22729705364272[/C][C]0.106495770457554[/C][/ROW]
[ROW][C]0.43[/C][C]7.24977506823432[/C][C]0.119255100399804[/C][/ROW]
[ROW][C]0.44[/C][C]7.27495091023993[/C][C]0.135280332364294[/C][/ROW]
[ROW][C]0.45[/C][C]7.30337380684625[/C][C]0.154540336604921[/C][/ROW]
[ROW][C]0.46[/C][C]7.33554489264526[/C][C]0.17645960625418[/C][/ROW]
[ROW][C]0.47[/C][C]7.37182517227157[/C][C]0.199929560001022[/C][/ROW]
[ROW][C]0.48[/C][C]7.41234314494535[/C][C]0.223350535873543[/C][/ROW]
[ROW][C]0.49[/C][C]7.45692024075209[/C][C]0.244826542497813[/C][/ROW]
[ROW][C]0.5[/C][C]7.50503122273899[/C][C]0.26239161869676[/C][/ROW]
[ROW][C]0.51[/C][C]7.55581153679808[/C][C]0.27429787839029[/C][/ROW]
[ROW][C]0.52[/C][C]7.60811509178775[/C][C]0.27924875515542[/C][/ROW]
[ROW][C]0.53[/C][C]7.66061597993829[/C][C]0.276629453801119[/C][/ROW]
[ROW][C]0.54[/C][C]7.71193860975621[/C][C]0.266560587890378[/C][/ROW]
[ROW][C]0.55[/C][C]7.76079490741991[/C][C]0.249903985597734[/C][/ROW]
[ROW][C]0.56[/C][C]7.80610613127959[/C][C]0.228104374230335[/C][/ROW]
[ROW][C]0.57[/C][C]7.84709065885594[/C][C]0.20295978695081[/C][/ROW]
[ROW][C]0.58[/C][C]7.88330674073974[/C][C]0.176380929126291[/C][/ROW]
[ROW][C]0.59[/C][C]7.9146485940211[/C][C]0.150114313270155[/C][/ROW]
[ROW][C]0.6[/C][C]7.94130293306479[/C][C]0.125610355753907[/C][/ROW]
[ROW][C]0.61[/C][C]7.96367910806091[/C][C]0.103856848991553[/C][/ROW]
[ROW][C]0.62[/C][C]7.98232837452251[/C][C]0.0854136882018007[/C][/ROW]
[ROW][C]0.63[/C][C]7.99786650653701[/C][C]0.0704113833326044[/C][/ROW]
[ROW][C]0.64[/C][C]8.01090999573906[/C][C]0.0586978044441418[/C][/ROW]
[ROW][C]0.65[/C][C]8.02203095356226[/C][C]0.049909172097792[/C][/ROW]
[ROW][C]0.66[/C][C]8.03173104596583[/C][C]0.0435792866469537[/C][/ROW]
[ROW][C]0.67[/C][C]8.04043139012989[/C][C]0.0392425991243841[/C][/ROW]
[ROW][C]0.68[/C][C]8.04847374386908[/C][C]0.0364594047343116[/C][/ROW]
[ROW][C]0.69[/C][C]8.0561283252923[/C][C]0.0348532389100356[/C][/ROW]
[ROW][C]0.7[/C][C]8.06360461613812[/C][C]0.0341213707701028[/C][/ROW]
[ROW][C]0.71[/C][C]8.07106280953051[/C][C]0.0340183115953009[/C][/ROW]
[ROW][C]0.72[/C][C]8.07862457894916[/C][C]0.0343509350969474[/C][/ROW]
[ROW][C]0.73[/C][C]8.08638229207556[/C][C]0.0349890139213702[/C][/ROW]
[ROW][C]0.74[/C][C]8.0944057538073[/C][C]0.0358418793000077[/C][/ROW]
[ROW][C]0.75[/C][C]8.10274542021776[/C][C]0.0368303941776115[/C][/ROW]
[ROW][C]0.76[/C][C]8.11143129483697[/C][C]0.0378893478614575[/C][/ROW]
[ROW][C]0.77[/C][C]8.12046779885221[/C][C]0.0389128524022636[/C][/ROW]
[ROW][C]0.78[/C][C]8.12982681032134[/C][C]0.0397620709095093[/C][/ROW]
[ROW][C]0.79[/C][C]8.13944323934681[/C][C]0.0402382877567898[/C][/ROW]
[ROW][C]0.8[/C][C]8.14921886473863[/C][C]0.040179076944939[/C][/ROW]
[ROW][C]0.81[/C][C]8.15903945403748[/C][C]0.0394757247015615[/C][/ROW]
[ROW][C]0.82[/C][C]8.16880664509306[/C][C]0.038191512791759[/C][/ROW]
[ROW][C]0.83[/C][C]8.17848005117993[/C][C]0.0365881892963124[/C][/ROW]
[ROW][C]0.84[/C][C]8.18811838077898[/C][C]0.0351189674534218[/C][/ROW]
[ROW][C]0.85[/C][C]8.19790388680529[/C][C]0.0343649276539574[/C][/ROW]
[ROW][C]0.86[/C][C]8.2081349262891[/C][C]0.0348427893484507[/C][/ROW]
[ROW][C]0.87[/C][C]8.21917818293545[/C][C]0.0367385217041174[/C][/ROW]
[ROW][C]0.88[/C][C]8.23138454307509[/C][C]0.0397652823511164[/C][/ROW]
[ROW][C]0.89[/C][C]8.24498837341992[/C][C]0.0432251873567951[/C][/ROW]
[ROW][C]0.9[/C][C]8.26002514340857[/C][C]0.0461913589795969[/C][/ROW]
[ROW][C]0.91[/C][C]8.276310243753[/C][C]0.047780107004005[/C][/ROW]
[ROW][C]0.92[/C][C]8.29351182863652[/C][C]0.0474996549174455[/C][/ROW]
[ROW][C]0.93[/C][C]8.31131488116995[/C][C]0.045539492400536[/C][/ROW]
[ROW][C]0.94[/C][C]8.32963120641587[/C][C]0.0427889871718283[/C][/ROW]
[ROW][C]0.95[/C][C]8.3488296478926[/C][C]0.0403842026933183[/C][/ROW]
[ROW][C]0.96[/C][C]8.37009206901988[/C][C]0.0391072148298379[/C][/ROW]
[ROW][C]0.97[/C][C]8.39593077328627[/C][C]0.0404540495950618[/C][/ROW]
[ROW][C]0.98[/C][C]8.42957578584659[/C][C]0.0493849514749296[/C][/ROW]
[ROW][C]0.99[/C][C]8.46948105115622[/C][C]0.0693873893311938[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233775&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233775&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
0.016.802387402761110.00685392684920483
0.026.808705012373390.0157191640297921
0.036.818140652326180.0204635112055875
0.046.82830741412420.0194529054074217
0.056.837075558027460.0150211914865529
0.066.843582217075130.010362996270617
0.076.848117379432940.0076207650544658
0.086.851511067110070.00752650648892074
0.096.854605276672820.009357018597119
0.16.8580071182670.0121316283348547
0.116.862060330069390.0153084114640431
0.126.866914805461160.0186389774501941
0.136.872612556876270.0220578930563144
0.146.879154796179590.0256119901045142
0.156.88654089796270.0293825583865003
0.166.894780758706620.0334334948589516
0.176.903886646384520.0377001096537746
0.186.913853296381450.0419991554792974
0.196.924636174500770.0460621228430185
0.26.936136893671540.0495583220440047
0.216.94820165373040.052219564565858
0.226.960634071821330.053877973529185
0.236.973219281915150.0545019140282487
0.246.985753118279670.0542383485461443
0.256.998069393913620.053321604726686
0.267.010059680590920.052075708802861
0.277.021682747310530.0508368375900109
0.287.032963740039260.049908330689426
0.297.043985306147150.0495228328671635
0.37.054873746025920.0498694392162094
0.317.065783068235380.0510222577508812
0.327.076879073302570.0530095890360773
0.337.08832490150330.0557683817021535
0.347.100269245169360.0592157333479293
0.357.112838679578590.0631994032743839
0.367.126135993790070.0675579558043021
0.377.140246490475210.0722034775953248
0.387.155253487270630.0771391109360506
0.397.17126246550680.0825493441818295
0.47.188430661810790.0888307513455326
0.417.206996002257780.0965692382406715
0.427.227297053642720.106495770457554
0.437.249775068234320.119255100399804
0.447.274950910239930.135280332364294
0.457.303373806846250.154540336604921
0.467.335544892645260.17645960625418
0.477.371825172271570.199929560001022
0.487.412343144945350.223350535873543
0.497.456920240752090.244826542497813
0.57.505031222738990.26239161869676
0.517.555811536798080.27429787839029
0.527.608115091787750.27924875515542
0.537.660615979938290.276629453801119
0.547.711938609756210.266560587890378
0.557.760794907419910.249903985597734
0.567.806106131279590.228104374230335
0.577.847090658855940.20295978695081
0.587.883306740739740.176380929126291
0.597.91464859402110.150114313270155
0.67.941302933064790.125610355753907
0.617.963679108060910.103856848991553
0.627.982328374522510.0854136882018007
0.637.997866506537010.0704113833326044
0.648.010909995739060.0586978044441418
0.658.022030953562260.049909172097792
0.668.031731045965830.0435792866469537
0.678.040431390129890.0392425991243841
0.688.048473743869080.0364594047343116
0.698.05612832529230.0348532389100356
0.78.063604616138120.0341213707701028
0.718.071062809530510.0340183115953009
0.728.078624578949160.0343509350969474
0.738.086382292075560.0349890139213702
0.748.09440575380730.0358418793000077
0.758.102745420217760.0368303941776115
0.768.111431294836970.0378893478614575
0.778.120467798852210.0389128524022636
0.788.129826810321340.0397620709095093
0.798.139443239346810.0402382877567898
0.88.149218864738630.040179076944939
0.818.159039454037480.0394757247015615
0.828.168806645093060.038191512791759
0.838.178480051179930.0365881892963124
0.848.188118380778980.0351189674534218
0.858.197903886805290.0343649276539574
0.868.20813492628910.0348427893484507
0.878.219178182935450.0367385217041174
0.888.231384543075090.0397652823511164
0.898.244988373419920.0432251873567951
0.98.260025143408570.0461913589795969
0.918.2763102437530.047780107004005
0.928.293511828636520.0474996549174455
0.938.311314881169950.045539492400536
0.948.329631206415870.0427889871718283
0.958.34882964789260.0403842026933183
0.968.370092069019880.0391072148298379
0.978.395930773286270.0404540495950618
0.988.429575785846590.0493849514749296
0.998.469481051156220.0693873893311938


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')