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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 07 Mar 2017 16:22:04 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Mar/07/t14889040054z1qyoiqurha3vn.htm/, Retrieved Tue, 14 May 2024 18:06:22 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 18:06:22 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101.03
100.65
100.66
100.54
100.51
100.53
100.53
101.02
101.07
101.37
101.45
101.44
101.45
100.99
101.11
101.31
101.53
101.6
101.61
102.04
102.36
102.74
102.96
103.01
103.02
102.34
102.38
102.54
102.71
102.78
102.78
103.27
103.4
103.74
103.89
103.92
99.68
99.06
99.12
99.37
99.63
99.69
99.76
100.16
100.46
100.83
101.09
101.14
101.25
101.09
101.18
101.14
101.23
101.17
100.84
101.04
101.18
101.1
101.21
101.26
101.85
101.82
101.93
101.95
101.97
102.04
101.37
101.2
101.14
101.27
101.39
101.4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 3 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time3 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0199.10189506276190.115273139975233
0.0299.18448880959350.189783721133092
0.0399.29307169170040.234310313024624
0.0499.41003426834380.245151664775948
0.0599.52374702748260.243296582986656
0.0699.63071510632120.25014379199299
0.0799.73303534822320.272928015585366
0.0899.83432357177850.303700225715987
0.0999.9366336970880.329810312085944
0.1100.0393593784430.341520188343947
0.11100.1398155412110.335538484796685
0.12100.2346167469380.314218405113911
0.13100.321005230090.283529931710035
0.14100.3976322117020.250795132063579
0.15100.4646866681770.222308548859395
0.16100.5235345601160.201960912805154
0.17100.5761345336290.190584074145699
0.18100.6244686991270.186437397805087
0.19100.6701349500530.186575522963802
0.2100.7141485918860.187718196570804
0.21100.7569293113290.187596599352807
0.22100.7984138034020.184686336975051
0.23100.8382283443040.178203940782589
0.24100.8758673381390.168626196693485
0.25100.9108424721830.156241345737352
0.26100.9427853603840.142184454024713
0.27100.9715008845770.127426844487765
0.28100.9969778575410.112797681918489
0.29101.019368507610.0991546538613814
0.3101.0389495671780.0870740244893326
0.31101.0560765301130.0768606027449072
0.32101.0711399743080.0684416298774294
0.33101.0845296337680.0618915112813952
0.34101.0966088513890.0570526129093757
0.35101.107699602050.0536173169404149
0.36101.1180766454570.0512828108344227
0.37101.1279685361490.0499551472954735
0.38101.1375630292020.0493958860250187
0.39101.1470146593240.0495033656707783
0.4101.1564527298370.0501876018129105
0.41101.1659884668620.0512241197592557
0.42101.1757205761530.0527905883708564
0.43101.1857388456650.054799336663582
0.44101.1961257659560.0572114233445589
0.45101.2069564120440.0600677495027053
0.46101.2182970641120.0631269591594722
0.47101.2302032473080.0666136541786047
0.48101.242718029030.0701955615116441
0.49101.2558714914690.0738674172319203
0.5101.2696822516630.0774848415735193
0.51101.2841616877640.0811145729571214
0.52101.2993211274310.0846502952118852
0.53101.315181680120.0882775498123629
0.54101.3317857170360.0919337380975834
0.55101.3492083353530.0960955416108736
0.56101.3675666346760.100839715077887
0.57101.3870244368760.106670561199551
0.58101.40779032170.113606396632189
0.59101.4301075947030.122094347511931
0.6101.4542360262230.131968286410921
0.61101.4804267675040.143296572157554
0.62101.5088935198120.155482026032912
0.63101.5397844706890.168335293809013
0.64101.5731603389160.180967401242981
0.65101.6089837364110.192836496354491
0.66101.6471237383160.203363953887192
0.67101.6873770604080.212201687535187
0.68101.729503892070.219176583312386
0.69101.77327285770.224427231905741
0.7101.8185066409970.228321530591425
0.71101.8651183929050.231692466822749
0.72101.9131297968230.235141973192193
0.73101.9626647180.239407105002569
0.74102.0139172065250.24479105482917
0.75102.0670981770590.251217048203426
0.76102.12237001970.258252261339472
0.77102.1797815571370.265159865750576
0.78102.2392165649260.27084012674502
0.79102.3003675869490.274389204135214
0.8102.362743503380.274866823164909
0.81102.4257147550630.271841687133503
0.82102.4885945983130.265092975733128
0.83102.5507486068080.255021187287538
0.84102.6117188811070.242562868015611
0.85102.6713461321780.229037970231023
0.86102.7298742770550.21634134140389
0.87102.7880288187960.206183413051292
0.88102.84706824780.200424097089057
0.89102.9088087267350.200407477654393
0.9102.9756071201110.207304366057969
0.91103.0502516257290.221536510259903
0.92103.1356591752110.242460818497611
0.93103.2342377248130.267290424477522
0.94103.3467917617640.290347633430708
0.95103.4710222706110.302423528297675
0.96103.6000885320870.291599515131969
0.97103.7222794408140.247745657847162
0.98103.8230975357590.171336669599971
0.99103.8902328284410.0837919566591523

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.1018950627619 & 0.115273139975233 \tabularnewline
0.02 & 99.1844888095935 & 0.189783721133092 \tabularnewline
0.03 & 99.2930716917004 & 0.234310313024624 \tabularnewline
0.04 & 99.4100342683438 & 0.245151664775948 \tabularnewline
0.05 & 99.5237470274826 & 0.243296582986656 \tabularnewline
0.06 & 99.6307151063212 & 0.25014379199299 \tabularnewline
0.07 & 99.7330353482232 & 0.272928015585366 \tabularnewline
0.08 & 99.8343235717785 & 0.303700225715987 \tabularnewline
0.09 & 99.936633697088 & 0.329810312085944 \tabularnewline
0.1 & 100.039359378443 & 0.341520188343947 \tabularnewline
0.11 & 100.139815541211 & 0.335538484796685 \tabularnewline
0.12 & 100.234616746938 & 0.314218405113911 \tabularnewline
0.13 & 100.32100523009 & 0.283529931710035 \tabularnewline
0.14 & 100.397632211702 & 0.250795132063579 \tabularnewline
0.15 & 100.464686668177 & 0.222308548859395 \tabularnewline
0.16 & 100.523534560116 & 0.201960912805154 \tabularnewline
0.17 & 100.576134533629 & 0.190584074145699 \tabularnewline
0.18 & 100.624468699127 & 0.186437397805087 \tabularnewline
0.19 & 100.670134950053 & 0.186575522963802 \tabularnewline
0.2 & 100.714148591886 & 0.187718196570804 \tabularnewline
0.21 & 100.756929311329 & 0.187596599352807 \tabularnewline
0.22 & 100.798413803402 & 0.184686336975051 \tabularnewline
0.23 & 100.838228344304 & 0.178203940782589 \tabularnewline
0.24 & 100.875867338139 & 0.168626196693485 \tabularnewline
0.25 & 100.910842472183 & 0.156241345737352 \tabularnewline
0.26 & 100.942785360384 & 0.142184454024713 \tabularnewline
0.27 & 100.971500884577 & 0.127426844487765 \tabularnewline
0.28 & 100.996977857541 & 0.112797681918489 \tabularnewline
0.29 & 101.01936850761 & 0.0991546538613814 \tabularnewline
0.3 & 101.038949567178 & 0.0870740244893326 \tabularnewline
0.31 & 101.056076530113 & 0.0768606027449072 \tabularnewline
0.32 & 101.071139974308 & 0.0684416298774294 \tabularnewline
0.33 & 101.084529633768 & 0.0618915112813952 \tabularnewline
0.34 & 101.096608851389 & 0.0570526129093757 \tabularnewline
0.35 & 101.10769960205 & 0.0536173169404149 \tabularnewline
0.36 & 101.118076645457 & 0.0512828108344227 \tabularnewline
0.37 & 101.127968536149 & 0.0499551472954735 \tabularnewline
0.38 & 101.137563029202 & 0.0493958860250187 \tabularnewline
0.39 & 101.147014659324 & 0.0495033656707783 \tabularnewline
0.4 & 101.156452729837 & 0.0501876018129105 \tabularnewline
0.41 & 101.165988466862 & 0.0512241197592557 \tabularnewline
0.42 & 101.175720576153 & 0.0527905883708564 \tabularnewline
0.43 & 101.185738845665 & 0.054799336663582 \tabularnewline
0.44 & 101.196125765956 & 0.0572114233445589 \tabularnewline
0.45 & 101.206956412044 & 0.0600677495027053 \tabularnewline
0.46 & 101.218297064112 & 0.0631269591594722 \tabularnewline
0.47 & 101.230203247308 & 0.0666136541786047 \tabularnewline
0.48 & 101.24271802903 & 0.0701955615116441 \tabularnewline
0.49 & 101.255871491469 & 0.0738674172319203 \tabularnewline
0.5 & 101.269682251663 & 0.0774848415735193 \tabularnewline
0.51 & 101.284161687764 & 0.0811145729571214 \tabularnewline
0.52 & 101.299321127431 & 0.0846502952118852 \tabularnewline
0.53 & 101.31518168012 & 0.0882775498123629 \tabularnewline
0.54 & 101.331785717036 & 0.0919337380975834 \tabularnewline
0.55 & 101.349208335353 & 0.0960955416108736 \tabularnewline
0.56 & 101.367566634676 & 0.100839715077887 \tabularnewline
0.57 & 101.387024436876 & 0.106670561199551 \tabularnewline
0.58 & 101.4077903217 & 0.113606396632189 \tabularnewline
0.59 & 101.430107594703 & 0.122094347511931 \tabularnewline
0.6 & 101.454236026223 & 0.131968286410921 \tabularnewline
0.61 & 101.480426767504 & 0.143296572157554 \tabularnewline
0.62 & 101.508893519812 & 0.155482026032912 \tabularnewline
0.63 & 101.539784470689 & 0.168335293809013 \tabularnewline
0.64 & 101.573160338916 & 0.180967401242981 \tabularnewline
0.65 & 101.608983736411 & 0.192836496354491 \tabularnewline
0.66 & 101.647123738316 & 0.203363953887192 \tabularnewline
0.67 & 101.687377060408 & 0.212201687535187 \tabularnewline
0.68 & 101.72950389207 & 0.219176583312386 \tabularnewline
0.69 & 101.7732728577 & 0.224427231905741 \tabularnewline
0.7 & 101.818506640997 & 0.228321530591425 \tabularnewline
0.71 & 101.865118392905 & 0.231692466822749 \tabularnewline
0.72 & 101.913129796823 & 0.235141973192193 \tabularnewline
0.73 & 101.962664718 & 0.239407105002569 \tabularnewline
0.74 & 102.013917206525 & 0.24479105482917 \tabularnewline
0.75 & 102.067098177059 & 0.251217048203426 \tabularnewline
0.76 & 102.1223700197 & 0.258252261339472 \tabularnewline
0.77 & 102.179781557137 & 0.265159865750576 \tabularnewline
0.78 & 102.239216564926 & 0.27084012674502 \tabularnewline
0.79 & 102.300367586949 & 0.274389204135214 \tabularnewline
0.8 & 102.36274350338 & 0.274866823164909 \tabularnewline
0.81 & 102.425714755063 & 0.271841687133503 \tabularnewline
0.82 & 102.488594598313 & 0.265092975733128 \tabularnewline
0.83 & 102.550748606808 & 0.255021187287538 \tabularnewline
0.84 & 102.611718881107 & 0.242562868015611 \tabularnewline
0.85 & 102.671346132178 & 0.229037970231023 \tabularnewline
0.86 & 102.729874277055 & 0.21634134140389 \tabularnewline
0.87 & 102.788028818796 & 0.206183413051292 \tabularnewline
0.88 & 102.8470682478 & 0.200424097089057 \tabularnewline
0.89 & 102.908808726735 & 0.200407477654393 \tabularnewline
0.9 & 102.975607120111 & 0.207304366057969 \tabularnewline
0.91 & 103.050251625729 & 0.221536510259903 \tabularnewline
0.92 & 103.135659175211 & 0.242460818497611 \tabularnewline
0.93 & 103.234237724813 & 0.267290424477522 \tabularnewline
0.94 & 103.346791761764 & 0.290347633430708 \tabularnewline
0.95 & 103.471022270611 & 0.302423528297675 \tabularnewline
0.96 & 103.600088532087 & 0.291599515131969 \tabularnewline
0.97 & 103.722279440814 & 0.247745657847162 \tabularnewline
0.98 & 103.823097535759 & 0.171336669599971 \tabularnewline
0.99 & 103.890232828441 & 0.0837919566591523 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]99.1018950627619[/C][C]0.115273139975233[/C][/ROW]
[ROW][C]0.02[/C][C]99.1844888095935[/C][C]0.189783721133092[/C][/ROW]
[ROW][C]0.03[/C][C]99.2930716917004[/C][C]0.234310313024624[/C][/ROW]
[ROW][C]0.04[/C][C]99.4100342683438[/C][C]0.245151664775948[/C][/ROW]
[ROW][C]0.05[/C][C]99.5237470274826[/C][C]0.243296582986656[/C][/ROW]
[ROW][C]0.06[/C][C]99.6307151063212[/C][C]0.25014379199299[/C][/ROW]
[ROW][C]0.07[/C][C]99.7330353482232[/C][C]0.272928015585366[/C][/ROW]
[ROW][C]0.08[/C][C]99.8343235717785[/C][C]0.303700225715987[/C][/ROW]
[ROW][C]0.09[/C][C]99.936633697088[/C][C]0.329810312085944[/C][/ROW]
[ROW][C]0.1[/C][C]100.039359378443[/C][C]0.341520188343947[/C][/ROW]
[ROW][C]0.11[/C][C]100.139815541211[/C][C]0.335538484796685[/C][/ROW]
[ROW][C]0.12[/C][C]100.234616746938[/C][C]0.314218405113911[/C][/ROW]
[ROW][C]0.13[/C][C]100.32100523009[/C][C]0.283529931710035[/C][/ROW]
[ROW][C]0.14[/C][C]100.397632211702[/C][C]0.250795132063579[/C][/ROW]
[ROW][C]0.15[/C][C]100.464686668177[/C][C]0.222308548859395[/C][/ROW]
[ROW][C]0.16[/C][C]100.523534560116[/C][C]0.201960912805154[/C][/ROW]
[ROW][C]0.17[/C][C]100.576134533629[/C][C]0.190584074145699[/C][/ROW]
[ROW][C]0.18[/C][C]100.624468699127[/C][C]0.186437397805087[/C][/ROW]
[ROW][C]0.19[/C][C]100.670134950053[/C][C]0.186575522963802[/C][/ROW]
[ROW][C]0.2[/C][C]100.714148591886[/C][C]0.187718196570804[/C][/ROW]
[ROW][C]0.21[/C][C]100.756929311329[/C][C]0.187596599352807[/C][/ROW]
[ROW][C]0.22[/C][C]100.798413803402[/C][C]0.184686336975051[/C][/ROW]
[ROW][C]0.23[/C][C]100.838228344304[/C][C]0.178203940782589[/C][/ROW]
[ROW][C]0.24[/C][C]100.875867338139[/C][C]0.168626196693485[/C][/ROW]
[ROW][C]0.25[/C][C]100.910842472183[/C][C]0.156241345737352[/C][/ROW]
[ROW][C]0.26[/C][C]100.942785360384[/C][C]0.142184454024713[/C][/ROW]
[ROW][C]0.27[/C][C]100.971500884577[/C][C]0.127426844487765[/C][/ROW]
[ROW][C]0.28[/C][C]100.996977857541[/C][C]0.112797681918489[/C][/ROW]
[ROW][C]0.29[/C][C]101.01936850761[/C][C]0.0991546538613814[/C][/ROW]
[ROW][C]0.3[/C][C]101.038949567178[/C][C]0.0870740244893326[/C][/ROW]
[ROW][C]0.31[/C][C]101.056076530113[/C][C]0.0768606027449072[/C][/ROW]
[ROW][C]0.32[/C][C]101.071139974308[/C][C]0.0684416298774294[/C][/ROW]
[ROW][C]0.33[/C][C]101.084529633768[/C][C]0.0618915112813952[/C][/ROW]
[ROW][C]0.34[/C][C]101.096608851389[/C][C]0.0570526129093757[/C][/ROW]
[ROW][C]0.35[/C][C]101.10769960205[/C][C]0.0536173169404149[/C][/ROW]
[ROW][C]0.36[/C][C]101.118076645457[/C][C]0.0512828108344227[/C][/ROW]
[ROW][C]0.37[/C][C]101.127968536149[/C][C]0.0499551472954735[/C][/ROW]
[ROW][C]0.38[/C][C]101.137563029202[/C][C]0.0493958860250187[/C][/ROW]
[ROW][C]0.39[/C][C]101.147014659324[/C][C]0.0495033656707783[/C][/ROW]
[ROW][C]0.4[/C][C]101.156452729837[/C][C]0.0501876018129105[/C][/ROW]
[ROW][C]0.41[/C][C]101.165988466862[/C][C]0.0512241197592557[/C][/ROW]
[ROW][C]0.42[/C][C]101.175720576153[/C][C]0.0527905883708564[/C][/ROW]
[ROW][C]0.43[/C][C]101.185738845665[/C][C]0.054799336663582[/C][/ROW]
[ROW][C]0.44[/C][C]101.196125765956[/C][C]0.0572114233445589[/C][/ROW]
[ROW][C]0.45[/C][C]101.206956412044[/C][C]0.0600677495027053[/C][/ROW]
[ROW][C]0.46[/C][C]101.218297064112[/C][C]0.0631269591594722[/C][/ROW]
[ROW][C]0.47[/C][C]101.230203247308[/C][C]0.0666136541786047[/C][/ROW]
[ROW][C]0.48[/C][C]101.24271802903[/C][C]0.0701955615116441[/C][/ROW]
[ROW][C]0.49[/C][C]101.255871491469[/C][C]0.0738674172319203[/C][/ROW]
[ROW][C]0.5[/C][C]101.269682251663[/C][C]0.0774848415735193[/C][/ROW]
[ROW][C]0.51[/C][C]101.284161687764[/C][C]0.0811145729571214[/C][/ROW]
[ROW][C]0.52[/C][C]101.299321127431[/C][C]0.0846502952118852[/C][/ROW]
[ROW][C]0.53[/C][C]101.31518168012[/C][C]0.0882775498123629[/C][/ROW]
[ROW][C]0.54[/C][C]101.331785717036[/C][C]0.0919337380975834[/C][/ROW]
[ROW][C]0.55[/C][C]101.349208335353[/C][C]0.0960955416108736[/C][/ROW]
[ROW][C]0.56[/C][C]101.367566634676[/C][C]0.100839715077887[/C][/ROW]
[ROW][C]0.57[/C][C]101.387024436876[/C][C]0.106670561199551[/C][/ROW]
[ROW][C]0.58[/C][C]101.4077903217[/C][C]0.113606396632189[/C][/ROW]
[ROW][C]0.59[/C][C]101.430107594703[/C][C]0.122094347511931[/C][/ROW]
[ROW][C]0.6[/C][C]101.454236026223[/C][C]0.131968286410921[/C][/ROW]
[ROW][C]0.61[/C][C]101.480426767504[/C][C]0.143296572157554[/C][/ROW]
[ROW][C]0.62[/C][C]101.508893519812[/C][C]0.155482026032912[/C][/ROW]
[ROW][C]0.63[/C][C]101.539784470689[/C][C]0.168335293809013[/C][/ROW]
[ROW][C]0.64[/C][C]101.573160338916[/C][C]0.180967401242981[/C][/ROW]
[ROW][C]0.65[/C][C]101.608983736411[/C][C]0.192836496354491[/C][/ROW]
[ROW][C]0.66[/C][C]101.647123738316[/C][C]0.203363953887192[/C][/ROW]
[ROW][C]0.67[/C][C]101.687377060408[/C][C]0.212201687535187[/C][/ROW]
[ROW][C]0.68[/C][C]101.72950389207[/C][C]0.219176583312386[/C][/ROW]
[ROW][C]0.69[/C][C]101.7732728577[/C][C]0.224427231905741[/C][/ROW]
[ROW][C]0.7[/C][C]101.818506640997[/C][C]0.228321530591425[/C][/ROW]
[ROW][C]0.71[/C][C]101.865118392905[/C][C]0.231692466822749[/C][/ROW]
[ROW][C]0.72[/C][C]101.913129796823[/C][C]0.235141973192193[/C][/ROW]
[ROW][C]0.73[/C][C]101.962664718[/C][C]0.239407105002569[/C][/ROW]
[ROW][C]0.74[/C][C]102.013917206525[/C][C]0.24479105482917[/C][/ROW]
[ROW][C]0.75[/C][C]102.067098177059[/C][C]0.251217048203426[/C][/ROW]
[ROW][C]0.76[/C][C]102.1223700197[/C][C]0.258252261339472[/C][/ROW]
[ROW][C]0.77[/C][C]102.179781557137[/C][C]0.265159865750576[/C][/ROW]
[ROW][C]0.78[/C][C]102.239216564926[/C][C]0.27084012674502[/C][/ROW]
[ROW][C]0.79[/C][C]102.300367586949[/C][C]0.274389204135214[/C][/ROW]
[ROW][C]0.8[/C][C]102.36274350338[/C][C]0.274866823164909[/C][/ROW]
[ROW][C]0.81[/C][C]102.425714755063[/C][C]0.271841687133503[/C][/ROW]
[ROW][C]0.82[/C][C]102.488594598313[/C][C]0.265092975733128[/C][/ROW]
[ROW][C]0.83[/C][C]102.550748606808[/C][C]0.255021187287538[/C][/ROW]
[ROW][C]0.84[/C][C]102.611718881107[/C][C]0.242562868015611[/C][/ROW]
[ROW][C]0.85[/C][C]102.671346132178[/C][C]0.229037970231023[/C][/ROW]
[ROW][C]0.86[/C][C]102.729874277055[/C][C]0.21634134140389[/C][/ROW]
[ROW][C]0.87[/C][C]102.788028818796[/C][C]0.206183413051292[/C][/ROW]
[ROW][C]0.88[/C][C]102.8470682478[/C][C]0.200424097089057[/C][/ROW]
[ROW][C]0.89[/C][C]102.908808726735[/C][C]0.200407477654393[/C][/ROW]
[ROW][C]0.9[/C][C]102.975607120111[/C][C]0.207304366057969[/C][/ROW]
[ROW][C]0.91[/C][C]103.050251625729[/C][C]0.221536510259903[/C][/ROW]
[ROW][C]0.92[/C][C]103.135659175211[/C][C]0.242460818497611[/C][/ROW]
[ROW][C]0.93[/C][C]103.234237724813[/C][C]0.267290424477522[/C][/ROW]
[ROW][C]0.94[/C][C]103.346791761764[/C][C]0.290347633430708[/C][/ROW]
[ROW][C]0.95[/C][C]103.471022270611[/C][C]0.302423528297675[/C][/ROW]
[ROW][C]0.96[/C][C]103.600088532087[/C][C]0.291599515131969[/C][/ROW]
[ROW][C]0.97[/C][C]103.722279440814[/C][C]0.247745657847162[/C][/ROW]
[ROW][C]0.98[/C][C]103.823097535759[/C][C]0.171336669599971[/C][/ROW]
[ROW][C]0.99[/C][C]103.890232828441[/C][C]0.0837919566591523[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0199.10189506276190.115273139975233
0.0299.18448880959350.189783721133092
0.0399.29307169170040.234310313024624
0.0499.41003426834380.245151664775948
0.0599.52374702748260.243296582986656
0.0699.63071510632120.25014379199299
0.0799.73303534822320.272928015585366
0.0899.83432357177850.303700225715987
0.0999.9366336970880.329810312085944
0.1100.0393593784430.341520188343947
0.11100.1398155412110.335538484796685
0.12100.2346167469380.314218405113911
0.13100.321005230090.283529931710035
0.14100.3976322117020.250795132063579
0.15100.4646866681770.222308548859395
0.16100.5235345601160.201960912805154
0.17100.5761345336290.190584074145699
0.18100.6244686991270.186437397805087
0.19100.6701349500530.186575522963802
0.2100.7141485918860.187718196570804
0.21100.7569293113290.187596599352807
0.22100.7984138034020.184686336975051
0.23100.8382283443040.178203940782589
0.24100.8758673381390.168626196693485
0.25100.9108424721830.156241345737352
0.26100.9427853603840.142184454024713
0.27100.9715008845770.127426844487765
0.28100.9969778575410.112797681918489
0.29101.019368507610.0991546538613814
0.3101.0389495671780.0870740244893326
0.31101.0560765301130.0768606027449072
0.32101.0711399743080.0684416298774294
0.33101.0845296337680.0618915112813952
0.34101.0966088513890.0570526129093757
0.35101.107699602050.0536173169404149
0.36101.1180766454570.0512828108344227
0.37101.1279685361490.0499551472954735
0.38101.1375630292020.0493958860250187
0.39101.1470146593240.0495033656707783
0.4101.1564527298370.0501876018129105
0.41101.1659884668620.0512241197592557
0.42101.1757205761530.0527905883708564
0.43101.1857388456650.054799336663582
0.44101.1961257659560.0572114233445589
0.45101.2069564120440.0600677495027053
0.46101.2182970641120.0631269591594722
0.47101.2302032473080.0666136541786047
0.48101.242718029030.0701955615116441
0.49101.2558714914690.0738674172319203
0.5101.2696822516630.0774848415735193
0.51101.2841616877640.0811145729571214
0.52101.2993211274310.0846502952118852
0.53101.315181680120.0882775498123629
0.54101.3317857170360.0919337380975834
0.55101.3492083353530.0960955416108736
0.56101.3675666346760.100839715077887
0.57101.3870244368760.106670561199551
0.58101.40779032170.113606396632189
0.59101.4301075947030.122094347511931
0.6101.4542360262230.131968286410921
0.61101.4804267675040.143296572157554
0.62101.5088935198120.155482026032912
0.63101.5397844706890.168335293809013
0.64101.5731603389160.180967401242981
0.65101.6089837364110.192836496354491
0.66101.6471237383160.203363953887192
0.67101.6873770604080.212201687535187
0.68101.729503892070.219176583312386
0.69101.77327285770.224427231905741
0.7101.8185066409970.228321530591425
0.71101.8651183929050.231692466822749
0.72101.9131297968230.235141973192193
0.73101.9626647180.239407105002569
0.74102.0139172065250.24479105482917
0.75102.0670981770590.251217048203426
0.76102.12237001970.258252261339472
0.77102.1797815571370.265159865750576
0.78102.2392165649260.27084012674502
0.79102.3003675869490.274389204135214
0.8102.362743503380.274866823164909
0.81102.4257147550630.271841687133503
0.82102.4885945983130.265092975733128
0.83102.5507486068080.255021187287538
0.84102.6117188811070.242562868015611
0.85102.6713461321780.229037970231023
0.86102.7298742770550.21634134140389
0.87102.7880288187960.206183413051292
0.88102.84706824780.200424097089057
0.89102.9088087267350.200407477654393
0.9102.9756071201110.207304366057969
0.91103.0502516257290.221536510259903
0.92103.1356591752110.242460818497611
0.93103.2342377248130.267290424477522
0.94103.3467917617640.290347633430708
0.95103.4710222706110.302423528297675
0.96103.6000885320870.291599515131969
0.97103.7222794408140.247745657847162
0.98103.8230975357590.171336669599971
0.99103.8902328284410.0837919566591523


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ; par2 = no ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')