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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, 02 Mar 2008 14:42:01 -0700
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/Mar/02/t1204494315808hjj9syjf23fo.htm/, Retrieved Tue, 07 May 2024 00:48:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9778, Retrieved Tue, 07 May 2024 00:48:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact167

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] [opgave 4 - eigen ...] [2008-03-02 21:42:01] [9ed44c8445a965e8d6beecda46dd06a5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7.1
7.1
7.3
7.1
7.4
7.3
7.4
7.6
7.8
7.7
8
8.1
7.7
7.9
8.1
8.1
8.2
8.1
8.3
8.3
8.3
8.5
8.7
8.7
8.4
8.4
8.6
8.7
8.7
8.6
8
8.1
8.1
8.5
8.6
8.6
8.3
8.3
8.5
9.2
9.2
9
7.4
7.3
7.4
8.6
8.7
8.7
8.5
8.4
8.6
8.4
8.4
8.2
7.7
7.6
7.7
8.1
8.2
8.3
8.1
8
8.2
7.6
7.7
7.6
6.9
6.9
7
7.4
7.4
7.5

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9778&T=0

[TABLE]
[ROW][C]Summary of compuational 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 Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9778&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9778&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.910601662841720.0313522682570019
0.026.93577050610940.0667734595217699
0.036.972951882817730.0883091240445042
0.047.016012272282670.0958042955110871
0.057.059792714018720.0978486238931024
0.067.101896802175940.101043733160204
0.077.141969166872030.105930538324379
0.087.180270400612320.109552324330893
0.097.216779670640690.109360054482501
0.17.25105045398440.104801465740732
0.117.28249565200380.0969867983317116
0.127.310725529464470.0878298667768042
0.137.335736232282130.079242127125194
0.147.35792161501110.0727915653304565
0.157.377968337414960.0695216760740646
0.167.396704878163650.0698483280909153
0.177.414952883728650.0734420691645839
0.187.433406492186170.0793507836044871
0.197.452552217607340.0863349696519902
0.27.472635266478720.0931920956837628
0.217.493672160796230.0989796440502948
0.227.515502297334280.103154792162976
0.237.537864251130930.105608617471958
0.247.560478892908920.106610892068392
0.257.583122110597220.106752119064337
0.267.605674520811780.106772908669752
0.277.628142131881230.107419213228753
0.287.65064838123870.109299391839123
0.297.673402871311010.11275885073578
0.37.696654951910220.117819210385794
0.317.720641246108860.124168777773711
0.327.745535798569580.131232118600431
0.337.771410206174020.138248962911717
0.347.798209155850630.144428345138504
0.357.825744404520650.148982079306112
0.367.853707565438410.151304865235733
0.377.881699399013250.151001481647795
0.387.909271031039540.147938935198201
0.397.935971021680670.142265940662861
0.47.961391734786340.134362821549022
0.417.98520903642710.124800194031834
0.428.007210783886870.114294357170005
0.438.027311499000330.103563155690125
0.448.045552660305020.0933502748222881
0.458.062089867487490.0842779914503071
0.468.077169519858840.0768619709104036
0.478.091098524196150.0714216729324796
0.488.104210915696980.0680635072760771
0.498.116835198721150.0666670228258326
0.58.129265768467670.0668929556430058
0.518.141741041069390.0682818452465998
0.528.154429982259020.0703234763314666
0.538.167427677791770.0725470612538375
0.548.180759536587470.074565327199868
0.558.194392768002860.0760919618401725
0.568.208253027654580.0769546076359299
0.578.222243662328020.077107014305133
0.588.236264856709180.0766020543032286
0.598.250230212270560.0755936882130823
0.68.264078850320910.0742691836801626
0.618.277781956748650.072863222584666
0.628.291343651182170.0715814548398959
0.638.304796997548750.0705797233415542
0.648.318196687150320.0699448772601677
0.658.331610259322650.0697130933622157
0.668.345109601933740.0698365651530413
0.678.358763939667470.0702660912308058
0.688.372634739840830.0709305631285117
0.698.386772188280560.0717544776388964
0.78.401212356708160.0726868307764225
0.718.415974066003950.0736438261207974
0.728.431054791311520.074519209642372
0.738.446425676849510.0751931342353167
0.748.462026661420260.0755007232345656
0.758.47776363190580.0752730278038755
0.768.493510141399760.0743496302554996
0.778.509116212447530.0726135056562989
0.788.524425731496230.0700233984860667
0.798.53930168163690.066668262327894
0.88.553655088008290.0627885631903505
0.818.567469862231150.058775759721513
0.828.580813310246490.0551279115569033
0.838.593822986128080.0523184503433266
0.848.606666609337490.0505902252017832
0.858.61948330597470.0497699534913884
0.868.632329629563040.049265669624049
0.878.645168483047520.0482875889232653
0.888.657947431210440.0462857176944997
0.898.670808154813340.0434226678325643
0.98.684441969096520.0412447336778828
0.918.700543825727560.0435107131385617
0.928.722203253546640.0557727788782492
0.938.753907129370160.0815640328540907
0.948.80068261409620.119679308036242
0.958.865967971949370.162634525093943
0.968.948369151269860.194964947237720
0.979.038744340598770.195861909713357
0.989.120585969436610.150545375837272
0.999.17659437188140.069618805523942

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.91060166284172 & 0.0313522682570019 \tabularnewline
0.02 & 6.9357705061094 & 0.0667734595217699 \tabularnewline
0.03 & 6.97295188281773 & 0.0883091240445042 \tabularnewline
0.04 & 7.01601227228267 & 0.0958042955110871 \tabularnewline
0.05 & 7.05979271401872 & 0.0978486238931024 \tabularnewline
0.06 & 7.10189680217594 & 0.101043733160204 \tabularnewline
0.07 & 7.14196916687203 & 0.105930538324379 \tabularnewline
0.08 & 7.18027040061232 & 0.109552324330893 \tabularnewline
0.09 & 7.21677967064069 & 0.109360054482501 \tabularnewline
0.1 & 7.2510504539844 & 0.104801465740732 \tabularnewline
0.11 & 7.2824956520038 & 0.0969867983317116 \tabularnewline
0.12 & 7.31072552946447 & 0.0878298667768042 \tabularnewline
0.13 & 7.33573623228213 & 0.079242127125194 \tabularnewline
0.14 & 7.3579216150111 & 0.0727915653304565 \tabularnewline
0.15 & 7.37796833741496 & 0.0695216760740646 \tabularnewline
0.16 & 7.39670487816365 & 0.0698483280909153 \tabularnewline
0.17 & 7.41495288372865 & 0.0734420691645839 \tabularnewline
0.18 & 7.43340649218617 & 0.0793507836044871 \tabularnewline
0.19 & 7.45255221760734 & 0.0863349696519902 \tabularnewline
0.2 & 7.47263526647872 & 0.0931920956837628 \tabularnewline
0.21 & 7.49367216079623 & 0.0989796440502948 \tabularnewline
0.22 & 7.51550229733428 & 0.103154792162976 \tabularnewline
0.23 & 7.53786425113093 & 0.105608617471958 \tabularnewline
0.24 & 7.56047889290892 & 0.106610892068392 \tabularnewline
0.25 & 7.58312211059722 & 0.106752119064337 \tabularnewline
0.26 & 7.60567452081178 & 0.106772908669752 \tabularnewline
0.27 & 7.62814213188123 & 0.107419213228753 \tabularnewline
0.28 & 7.6506483812387 & 0.109299391839123 \tabularnewline
0.29 & 7.67340287131101 & 0.11275885073578 \tabularnewline
0.3 & 7.69665495191022 & 0.117819210385794 \tabularnewline
0.31 & 7.72064124610886 & 0.124168777773711 \tabularnewline
0.32 & 7.74553579856958 & 0.131232118600431 \tabularnewline
0.33 & 7.77141020617402 & 0.138248962911717 \tabularnewline
0.34 & 7.79820915585063 & 0.144428345138504 \tabularnewline
0.35 & 7.82574440452065 & 0.148982079306112 \tabularnewline
0.36 & 7.85370756543841 & 0.151304865235733 \tabularnewline
0.37 & 7.88169939901325 & 0.151001481647795 \tabularnewline
0.38 & 7.90927103103954 & 0.147938935198201 \tabularnewline
0.39 & 7.93597102168067 & 0.142265940662861 \tabularnewline
0.4 & 7.96139173478634 & 0.134362821549022 \tabularnewline
0.41 & 7.9852090364271 & 0.124800194031834 \tabularnewline
0.42 & 8.00721078388687 & 0.114294357170005 \tabularnewline
0.43 & 8.02731149900033 & 0.103563155690125 \tabularnewline
0.44 & 8.04555266030502 & 0.0933502748222881 \tabularnewline
0.45 & 8.06208986748749 & 0.0842779914503071 \tabularnewline
0.46 & 8.07716951985884 & 0.0768619709104036 \tabularnewline
0.47 & 8.09109852419615 & 0.0714216729324796 \tabularnewline
0.48 & 8.10421091569698 & 0.0680635072760771 \tabularnewline
0.49 & 8.11683519872115 & 0.0666670228258326 \tabularnewline
0.5 & 8.12926576846767 & 0.0668929556430058 \tabularnewline
0.51 & 8.14174104106939 & 0.0682818452465998 \tabularnewline
0.52 & 8.15442998225902 & 0.0703234763314666 \tabularnewline
0.53 & 8.16742767779177 & 0.0725470612538375 \tabularnewline
0.54 & 8.18075953658747 & 0.074565327199868 \tabularnewline
0.55 & 8.19439276800286 & 0.0760919618401725 \tabularnewline
0.56 & 8.20825302765458 & 0.0769546076359299 \tabularnewline
0.57 & 8.22224366232802 & 0.077107014305133 \tabularnewline
0.58 & 8.23626485670918 & 0.0766020543032286 \tabularnewline
0.59 & 8.25023021227056 & 0.0755936882130823 \tabularnewline
0.6 & 8.26407885032091 & 0.0742691836801626 \tabularnewline
0.61 & 8.27778195674865 & 0.072863222584666 \tabularnewline
0.62 & 8.29134365118217 & 0.0715814548398959 \tabularnewline
0.63 & 8.30479699754875 & 0.0705797233415542 \tabularnewline
0.64 & 8.31819668715032 & 0.0699448772601677 \tabularnewline
0.65 & 8.33161025932265 & 0.0697130933622157 \tabularnewline
0.66 & 8.34510960193374 & 0.0698365651530413 \tabularnewline
0.67 & 8.35876393966747 & 0.0702660912308058 \tabularnewline
0.68 & 8.37263473984083 & 0.0709305631285117 \tabularnewline
0.69 & 8.38677218828056 & 0.0717544776388964 \tabularnewline
0.7 & 8.40121235670816 & 0.0726868307764225 \tabularnewline
0.71 & 8.41597406600395 & 0.0736438261207974 \tabularnewline
0.72 & 8.43105479131152 & 0.074519209642372 \tabularnewline
0.73 & 8.44642567684951 & 0.0751931342353167 \tabularnewline
0.74 & 8.46202666142026 & 0.0755007232345656 \tabularnewline
0.75 & 8.4777636319058 & 0.0752730278038755 \tabularnewline
0.76 & 8.49351014139976 & 0.0743496302554996 \tabularnewline
0.77 & 8.50911621244753 & 0.0726135056562989 \tabularnewline
0.78 & 8.52442573149623 & 0.0700233984860667 \tabularnewline
0.79 & 8.5393016816369 & 0.066668262327894 \tabularnewline
0.8 & 8.55365508800829 & 0.0627885631903505 \tabularnewline
0.81 & 8.56746986223115 & 0.058775759721513 \tabularnewline
0.82 & 8.58081331024649 & 0.0551279115569033 \tabularnewline
0.83 & 8.59382298612808 & 0.0523184503433266 \tabularnewline
0.84 & 8.60666660933749 & 0.0505902252017832 \tabularnewline
0.85 & 8.6194833059747 & 0.0497699534913884 \tabularnewline
0.86 & 8.63232962956304 & 0.049265669624049 \tabularnewline
0.87 & 8.64516848304752 & 0.0482875889232653 \tabularnewline
0.88 & 8.65794743121044 & 0.0462857176944997 \tabularnewline
0.89 & 8.67080815481334 & 0.0434226678325643 \tabularnewline
0.9 & 8.68444196909652 & 0.0412447336778828 \tabularnewline
0.91 & 8.70054382572756 & 0.0435107131385617 \tabularnewline
0.92 & 8.72220325354664 & 0.0557727788782492 \tabularnewline
0.93 & 8.75390712937016 & 0.0815640328540907 \tabularnewline
0.94 & 8.8006826140962 & 0.119679308036242 \tabularnewline
0.95 & 8.86596797194937 & 0.162634525093943 \tabularnewline
0.96 & 8.94836915126986 & 0.194964947237720 \tabularnewline
0.97 & 9.03874434059877 & 0.195861909713357 \tabularnewline
0.98 & 9.12058596943661 & 0.150545375837272 \tabularnewline
0.99 & 9.1765943718814 & 0.069618805523942 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9778&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]6.91060166284172[/C][C]0.0313522682570019[/C][/ROW]
[ROW][C]0.02[/C][C]6.9357705061094[/C][C]0.0667734595217699[/C][/ROW]
[ROW][C]0.03[/C][C]6.97295188281773[/C][C]0.0883091240445042[/C][/ROW]
[ROW][C]0.04[/C][C]7.01601227228267[/C][C]0.0958042955110871[/C][/ROW]
[ROW][C]0.05[/C][C]7.05979271401872[/C][C]0.0978486238931024[/C][/ROW]
[ROW][C]0.06[/C][C]7.10189680217594[/C][C]0.101043733160204[/C][/ROW]
[ROW][C]0.07[/C][C]7.14196916687203[/C][C]0.105930538324379[/C][/ROW]
[ROW][C]0.08[/C][C]7.18027040061232[/C][C]0.109552324330893[/C][/ROW]
[ROW][C]0.09[/C][C]7.21677967064069[/C][C]0.109360054482501[/C][/ROW]
[ROW][C]0.1[/C][C]7.2510504539844[/C][C]0.104801465740732[/C][/ROW]
[ROW][C]0.11[/C][C]7.2824956520038[/C][C]0.0969867983317116[/C][/ROW]
[ROW][C]0.12[/C][C]7.31072552946447[/C][C]0.0878298667768042[/C][/ROW]
[ROW][C]0.13[/C][C]7.33573623228213[/C][C]0.079242127125194[/C][/ROW]
[ROW][C]0.14[/C][C]7.3579216150111[/C][C]0.0727915653304565[/C][/ROW]
[ROW][C]0.15[/C][C]7.37796833741496[/C][C]0.0695216760740646[/C][/ROW]
[ROW][C]0.16[/C][C]7.39670487816365[/C][C]0.0698483280909153[/C][/ROW]
[ROW][C]0.17[/C][C]7.41495288372865[/C][C]0.0734420691645839[/C][/ROW]
[ROW][C]0.18[/C][C]7.43340649218617[/C][C]0.0793507836044871[/C][/ROW]
[ROW][C]0.19[/C][C]7.45255221760734[/C][C]0.0863349696519902[/C][/ROW]
[ROW][C]0.2[/C][C]7.47263526647872[/C][C]0.0931920956837628[/C][/ROW]
[ROW][C]0.21[/C][C]7.49367216079623[/C][C]0.0989796440502948[/C][/ROW]
[ROW][C]0.22[/C][C]7.51550229733428[/C][C]0.103154792162976[/C][/ROW]
[ROW][C]0.23[/C][C]7.53786425113093[/C][C]0.105608617471958[/C][/ROW]
[ROW][C]0.24[/C][C]7.56047889290892[/C][C]0.106610892068392[/C][/ROW]
[ROW][C]0.25[/C][C]7.58312211059722[/C][C]0.106752119064337[/C][/ROW]
[ROW][C]0.26[/C][C]7.60567452081178[/C][C]0.106772908669752[/C][/ROW]
[ROW][C]0.27[/C][C]7.62814213188123[/C][C]0.107419213228753[/C][/ROW]
[ROW][C]0.28[/C][C]7.6506483812387[/C][C]0.109299391839123[/C][/ROW]
[ROW][C]0.29[/C][C]7.67340287131101[/C][C]0.11275885073578[/C][/ROW]
[ROW][C]0.3[/C][C]7.69665495191022[/C][C]0.117819210385794[/C][/ROW]
[ROW][C]0.31[/C][C]7.72064124610886[/C][C]0.124168777773711[/C][/ROW]
[ROW][C]0.32[/C][C]7.74553579856958[/C][C]0.131232118600431[/C][/ROW]
[ROW][C]0.33[/C][C]7.77141020617402[/C][C]0.138248962911717[/C][/ROW]
[ROW][C]0.34[/C][C]7.79820915585063[/C][C]0.144428345138504[/C][/ROW]
[ROW][C]0.35[/C][C]7.82574440452065[/C][C]0.148982079306112[/C][/ROW]
[ROW][C]0.36[/C][C]7.85370756543841[/C][C]0.151304865235733[/C][/ROW]
[ROW][C]0.37[/C][C]7.88169939901325[/C][C]0.151001481647795[/C][/ROW]
[ROW][C]0.38[/C][C]7.90927103103954[/C][C]0.147938935198201[/C][/ROW]
[ROW][C]0.39[/C][C]7.93597102168067[/C][C]0.142265940662861[/C][/ROW]
[ROW][C]0.4[/C][C]7.96139173478634[/C][C]0.134362821549022[/C][/ROW]
[ROW][C]0.41[/C][C]7.9852090364271[/C][C]0.124800194031834[/C][/ROW]
[ROW][C]0.42[/C][C]8.00721078388687[/C][C]0.114294357170005[/C][/ROW]
[ROW][C]0.43[/C][C]8.02731149900033[/C][C]0.103563155690125[/C][/ROW]
[ROW][C]0.44[/C][C]8.04555266030502[/C][C]0.0933502748222881[/C][/ROW]
[ROW][C]0.45[/C][C]8.06208986748749[/C][C]0.0842779914503071[/C][/ROW]
[ROW][C]0.46[/C][C]8.07716951985884[/C][C]0.0768619709104036[/C][/ROW]
[ROW][C]0.47[/C][C]8.09109852419615[/C][C]0.0714216729324796[/C][/ROW]
[ROW][C]0.48[/C][C]8.10421091569698[/C][C]0.0680635072760771[/C][/ROW]
[ROW][C]0.49[/C][C]8.11683519872115[/C][C]0.0666670228258326[/C][/ROW]
[ROW][C]0.5[/C][C]8.12926576846767[/C][C]0.0668929556430058[/C][/ROW]
[ROW][C]0.51[/C][C]8.14174104106939[/C][C]0.0682818452465998[/C][/ROW]
[ROW][C]0.52[/C][C]8.15442998225902[/C][C]0.0703234763314666[/C][/ROW]
[ROW][C]0.53[/C][C]8.16742767779177[/C][C]0.0725470612538375[/C][/ROW]
[ROW][C]0.54[/C][C]8.18075953658747[/C][C]0.074565327199868[/C][/ROW]
[ROW][C]0.55[/C][C]8.19439276800286[/C][C]0.0760919618401725[/C][/ROW]
[ROW][C]0.56[/C][C]8.20825302765458[/C][C]0.0769546076359299[/C][/ROW]
[ROW][C]0.57[/C][C]8.22224366232802[/C][C]0.077107014305133[/C][/ROW]
[ROW][C]0.58[/C][C]8.23626485670918[/C][C]0.0766020543032286[/C][/ROW]
[ROW][C]0.59[/C][C]8.25023021227056[/C][C]0.0755936882130823[/C][/ROW]
[ROW][C]0.6[/C][C]8.26407885032091[/C][C]0.0742691836801626[/C][/ROW]
[ROW][C]0.61[/C][C]8.27778195674865[/C][C]0.072863222584666[/C][/ROW]
[ROW][C]0.62[/C][C]8.29134365118217[/C][C]0.0715814548398959[/C][/ROW]
[ROW][C]0.63[/C][C]8.30479699754875[/C][C]0.0705797233415542[/C][/ROW]
[ROW][C]0.64[/C][C]8.31819668715032[/C][C]0.0699448772601677[/C][/ROW]
[ROW][C]0.65[/C][C]8.33161025932265[/C][C]0.0697130933622157[/C][/ROW]
[ROW][C]0.66[/C][C]8.34510960193374[/C][C]0.0698365651530413[/C][/ROW]
[ROW][C]0.67[/C][C]8.35876393966747[/C][C]0.0702660912308058[/C][/ROW]
[ROW][C]0.68[/C][C]8.37263473984083[/C][C]0.0709305631285117[/C][/ROW]
[ROW][C]0.69[/C][C]8.38677218828056[/C][C]0.0717544776388964[/C][/ROW]
[ROW][C]0.7[/C][C]8.40121235670816[/C][C]0.0726868307764225[/C][/ROW]
[ROW][C]0.71[/C][C]8.41597406600395[/C][C]0.0736438261207974[/C][/ROW]
[ROW][C]0.72[/C][C]8.43105479131152[/C][C]0.074519209642372[/C][/ROW]
[ROW][C]0.73[/C][C]8.44642567684951[/C][C]0.0751931342353167[/C][/ROW]
[ROW][C]0.74[/C][C]8.46202666142026[/C][C]0.0755007232345656[/C][/ROW]
[ROW][C]0.75[/C][C]8.4777636319058[/C][C]0.0752730278038755[/C][/ROW]
[ROW][C]0.76[/C][C]8.49351014139976[/C][C]0.0743496302554996[/C][/ROW]
[ROW][C]0.77[/C][C]8.50911621244753[/C][C]0.0726135056562989[/C][/ROW]
[ROW][C]0.78[/C][C]8.52442573149623[/C][C]0.0700233984860667[/C][/ROW]
[ROW][C]0.79[/C][C]8.5393016816369[/C][C]0.066668262327894[/C][/ROW]
[ROW][C]0.8[/C][C]8.55365508800829[/C][C]0.0627885631903505[/C][/ROW]
[ROW][C]0.81[/C][C]8.56746986223115[/C][C]0.058775759721513[/C][/ROW]
[ROW][C]0.82[/C][C]8.58081331024649[/C][C]0.0551279115569033[/C][/ROW]
[ROW][C]0.83[/C][C]8.59382298612808[/C][C]0.0523184503433266[/C][/ROW]
[ROW][C]0.84[/C][C]8.60666660933749[/C][C]0.0505902252017832[/C][/ROW]
[ROW][C]0.85[/C][C]8.6194833059747[/C][C]0.0497699534913884[/C][/ROW]
[ROW][C]0.86[/C][C]8.63232962956304[/C][C]0.049265669624049[/C][/ROW]
[ROW][C]0.87[/C][C]8.64516848304752[/C][C]0.0482875889232653[/C][/ROW]
[ROW][C]0.88[/C][C]8.65794743121044[/C][C]0.0462857176944997[/C][/ROW]
[ROW][C]0.89[/C][C]8.67080815481334[/C][C]0.0434226678325643[/C][/ROW]
[ROW][C]0.9[/C][C]8.68444196909652[/C][C]0.0412447336778828[/C][/ROW]
[ROW][C]0.91[/C][C]8.70054382572756[/C][C]0.0435107131385617[/C][/ROW]
[ROW][C]0.92[/C][C]8.72220325354664[/C][C]0.0557727788782492[/C][/ROW]
[ROW][C]0.93[/C][C]8.75390712937016[/C][C]0.0815640328540907[/C][/ROW]
[ROW][C]0.94[/C][C]8.8006826140962[/C][C]0.119679308036242[/C][/ROW]
[ROW][C]0.95[/C][C]8.86596797194937[/C][C]0.162634525093943[/C][/ROW]
[ROW][C]0.96[/C][C]8.94836915126986[/C][C]0.194964947237720[/C][/ROW]
[ROW][C]0.97[/C][C]9.03874434059877[/C][C]0.195861909713357[/C][/ROW]
[ROW][C]0.98[/C][C]9.12058596943661[/C][C]0.150545375837272[/C][/ROW]
[ROW][C]0.99[/C][C]9.1765943718814[/C][C]0.069618805523942[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9778&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9778&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
0.016.910601662841720.0313522682570019
0.026.93577050610940.0667734595217699
0.036.972951882817730.0883091240445042
0.047.016012272282670.0958042955110871
0.057.059792714018720.0978486238931024
0.067.101896802175940.101043733160204
0.077.141969166872030.105930538324379
0.087.180270400612320.109552324330893
0.097.216779670640690.109360054482501
0.17.25105045398440.104801465740732
0.117.28249565200380.0969867983317116
0.127.310725529464470.0878298667768042
0.137.335736232282130.079242127125194
0.147.35792161501110.0727915653304565
0.157.377968337414960.0695216760740646
0.167.396704878163650.0698483280909153
0.177.414952883728650.0734420691645839
0.187.433406492186170.0793507836044871
0.197.452552217607340.0863349696519902
0.27.472635266478720.0931920956837628
0.217.493672160796230.0989796440502948
0.227.515502297334280.103154792162976
0.237.537864251130930.105608617471958
0.247.560478892908920.106610892068392
0.257.583122110597220.106752119064337
0.267.605674520811780.106772908669752
0.277.628142131881230.107419213228753
0.287.65064838123870.109299391839123
0.297.673402871311010.11275885073578
0.37.696654951910220.117819210385794
0.317.720641246108860.124168777773711
0.327.745535798569580.131232118600431
0.337.771410206174020.138248962911717
0.347.798209155850630.144428345138504
0.357.825744404520650.148982079306112
0.367.853707565438410.151304865235733
0.377.881699399013250.151001481647795
0.387.909271031039540.147938935198201
0.397.935971021680670.142265940662861
0.47.961391734786340.134362821549022
0.417.98520903642710.124800194031834
0.428.007210783886870.114294357170005
0.438.027311499000330.103563155690125
0.448.045552660305020.0933502748222881
0.458.062089867487490.0842779914503071
0.468.077169519858840.0768619709104036
0.478.091098524196150.0714216729324796
0.488.104210915696980.0680635072760771
0.498.116835198721150.0666670228258326
0.58.129265768467670.0668929556430058
0.518.141741041069390.0682818452465998
0.528.154429982259020.0703234763314666
0.538.167427677791770.0725470612538375
0.548.180759536587470.074565327199868
0.558.194392768002860.0760919618401725
0.568.208253027654580.0769546076359299
0.578.222243662328020.077107014305133
0.588.236264856709180.0766020543032286
0.598.250230212270560.0755936882130823
0.68.264078850320910.0742691836801626
0.618.277781956748650.072863222584666
0.628.291343651182170.0715814548398959
0.638.304796997548750.0705797233415542
0.648.318196687150320.0699448772601677
0.658.331610259322650.0697130933622157
0.668.345109601933740.0698365651530413
0.678.358763939667470.0702660912308058
0.688.372634739840830.0709305631285117
0.698.386772188280560.0717544776388964
0.78.401212356708160.0726868307764225
0.718.415974066003950.0736438261207974
0.728.431054791311520.074519209642372
0.738.446425676849510.0751931342353167
0.748.462026661420260.0755007232345656
0.758.47776363190580.0752730278038755
0.768.493510141399760.0743496302554996
0.778.509116212447530.0726135056562989
0.788.524425731496230.0700233984860667
0.798.53930168163690.066668262327894
0.88.553655088008290.0627885631903505
0.818.567469862231150.058775759721513
0.828.580813310246490.0551279115569033
0.838.593822986128080.0523184503433266
0.848.606666609337490.0505902252017832
0.858.61948330597470.0497699534913884
0.868.632329629563040.049265669624049
0.878.645168483047520.0482875889232653
0.888.657947431210440.0462857176944997
0.898.670808154813340.0434226678325643
0.98.684441969096520.0412447336778828
0.918.700543825727560.0435107131385617
0.928.722203253546640.0557727788782492
0.938.753907129370160.0815640328540907
0.948.80068261409620.119679308036242
0.958.865967971949370.162634525093943
0.968.948369151269860.194964947237720
0.979.038744340598770.195861909713357
0.989.120585969436610.150545375837272
0.999.17659437188140.069618805523942


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')