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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 computationWed, 05 Oct 2016 17:15:06 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/05/t1475685265q4a67cz2punx07s.htm/, Retrieved Sun, 05 May 2024 17:00:28 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 17:00:28 +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 
102.8
103.66
103.55
103.87
104.03
104.02
104.02
102.97
103.18
103.53
103.78
103.85
103.85
104.78
104.76
104.84
104.85
104.83
104.83
103.71
103.84
104.37
104.44
104.4
99.54
100.42
100.34
100.36
100.37
100.42
100.41
99.13
99.42
99.76
99.92
99.92
100.47
100.44
100.47
100.61
100.73
100.64
99.99
99.74
99.49
99.41
99.49
99.53
99.91
99.84
99.67
99.39
99.38
99.29
97.91
97.62
97.67
97.64
97.63
97.66

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.198.44080592734940.678896047030923
0.1198.61655707509130.657875633257746
0.1298.78225829512710.602268691960868
0.1398.93074499362940.524648248597074
0.1499.05803609873320.438248025995864
0.1599.16319786989450.354252166896275
0.1699.24769009201880.280605418779009
0.1799.31449361945720.221536187697894
0.1899.36726991853410.178337288243446
0.1999.40970449436310.150365985468307
0.299.44508629810150.134968818814148
0.2199.47610346377480.129312186870487
0.2299.50479974355630.13029653518039
0.2399.53262931256610.135321151625973
0.2499.5605582118480.142731639019728
0.2599.5891774474030.151085549035171
0.2699.61880830561580.159643919894031
0.2799.64959148697450.168019835769998
0.2899.68155787400730.176005205389495
0.2999.71468136545670.183558052389092
0.399.74891487314270.190899386120548
0.3199.7842106669680.198111866966106
0.3299.8205265909550.205349852992293
0.3399.85782052290510.212633394769669
0.3499.89603665601810.219582783769968
0.3599.9350883602730.226337878639379
0.3699.97484311346240.231994756826087
0.37100.0151149625840.23637791888408
0.38100.0556690650050.238934530561229
0.39100.096241158560.239323692876731
0.4100.1365725891720.237716522098432
0.41100.1764591472540.234313216936633
0.42100.2158097910440.230098951800964
0.43100.2547096390850.226198706493064
0.44100.2934805315160.224504982476327
0.45100.332731992540.227280552974059
0.46100.3733954912360.237213667647404
0.47100.4167354045270.256808380234837
0.48100.4643310117380.288357131473314
0.49100.5180252773640.332977735599938
0.5100.5798382751160.391454649692683
0.51100.6518460417050.46303138672276
0.52100.736029470180.546277554058392
0.53100.8341023593570.638886421703547
0.54100.9473324043030.737239014206658
0.55101.0763729153720.836912392276034
0.56101.2211253909610.932907252342788
0.57101.3806528036211.01982489951676
0.58101.5531599907981.09245014767921
0.59101.7360508553411.14603223144675
0.6101.9260628766331.17710654685999
0.61102.1194690797871.18372485392371
0.62102.3123279100431.16531746056035
0.63102.5007542662261.12331042980224
0.64102.6811817307221.06055506952889
0.65102.850587509860.981257979476372
0.66103.0066575316880.890292188518604
0.67103.1478783859450.792833927991639
0.68103.2735535316540.693936421364869
0.69103.3837514126250.59800901979493
0.7103.4792010204630.50857515225207
0.71103.5611548587260.428405578785148
0.72103.6312398427540.359074890246648
0.73103.6913138759720.301378316771275
0.74103.7433407336180.25552678117488
0.75103.7892898013170.221193200939049
0.76103.8310614579110.197632817772419
0.77103.8704344648140.184004431900221
0.78103.9090292023150.179051998934384
0.79103.9482800884030.1812401520942
0.8103.9894117063860.189090435011576
0.81104.0334153640320.20086413799818
0.82104.0810250742890.214956825505534
0.83104.1326933579820.229757663962906
0.84104.1885673263010.243739993418497
0.85104.2484646342670.255499165204091
0.86104.3118486918950.263757417245908
0.87104.3778052358760.267296457873479
0.88104.4450294921470.264948988261456
0.89104.5118434511480.255727623287896
0.9104.5762710224430.238805293066063

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 98.4408059273494 & 0.678896047030923 \tabularnewline
0.11 & 98.6165570750913 & 0.657875633257746 \tabularnewline
0.12 & 98.7822582951271 & 0.602268691960868 \tabularnewline
0.13 & 98.9307449936294 & 0.524648248597074 \tabularnewline
0.14 & 99.0580360987332 & 0.438248025995864 \tabularnewline
0.15 & 99.1631978698945 & 0.354252166896275 \tabularnewline
0.16 & 99.2476900920188 & 0.280605418779009 \tabularnewline
0.17 & 99.3144936194572 & 0.221536187697894 \tabularnewline
0.18 & 99.3672699185341 & 0.178337288243446 \tabularnewline
0.19 & 99.4097044943631 & 0.150365985468307 \tabularnewline
0.2 & 99.4450862981015 & 0.134968818814148 \tabularnewline
0.21 & 99.4761034637748 & 0.129312186870487 \tabularnewline
0.22 & 99.5047997435563 & 0.13029653518039 \tabularnewline
0.23 & 99.5326293125661 & 0.135321151625973 \tabularnewline
0.24 & 99.560558211848 & 0.142731639019728 \tabularnewline
0.25 & 99.589177447403 & 0.151085549035171 \tabularnewline
0.26 & 99.6188083056158 & 0.159643919894031 \tabularnewline
0.27 & 99.6495914869745 & 0.168019835769998 \tabularnewline
0.28 & 99.6815578740073 & 0.176005205389495 \tabularnewline
0.29 & 99.7146813654567 & 0.183558052389092 \tabularnewline
0.3 & 99.7489148731427 & 0.190899386120548 \tabularnewline
0.31 & 99.784210666968 & 0.198111866966106 \tabularnewline
0.32 & 99.820526590955 & 0.205349852992293 \tabularnewline
0.33 & 99.8578205229051 & 0.212633394769669 \tabularnewline
0.34 & 99.8960366560181 & 0.219582783769968 \tabularnewline
0.35 & 99.935088360273 & 0.226337878639379 \tabularnewline
0.36 & 99.9748431134624 & 0.231994756826087 \tabularnewline
0.37 & 100.015114962584 & 0.23637791888408 \tabularnewline
0.38 & 100.055669065005 & 0.238934530561229 \tabularnewline
0.39 & 100.09624115856 & 0.239323692876731 \tabularnewline
0.4 & 100.136572589172 & 0.237716522098432 \tabularnewline
0.41 & 100.176459147254 & 0.234313216936633 \tabularnewline
0.42 & 100.215809791044 & 0.230098951800964 \tabularnewline
0.43 & 100.254709639085 & 0.226198706493064 \tabularnewline
0.44 & 100.293480531516 & 0.224504982476327 \tabularnewline
0.45 & 100.33273199254 & 0.227280552974059 \tabularnewline
0.46 & 100.373395491236 & 0.237213667647404 \tabularnewline
0.47 & 100.416735404527 & 0.256808380234837 \tabularnewline
0.48 & 100.464331011738 & 0.288357131473314 \tabularnewline
0.49 & 100.518025277364 & 0.332977735599938 \tabularnewline
0.5 & 100.579838275116 & 0.391454649692683 \tabularnewline
0.51 & 100.651846041705 & 0.46303138672276 \tabularnewline
0.52 & 100.73602947018 & 0.546277554058392 \tabularnewline
0.53 & 100.834102359357 & 0.638886421703547 \tabularnewline
0.54 & 100.947332404303 & 0.737239014206658 \tabularnewline
0.55 & 101.076372915372 & 0.836912392276034 \tabularnewline
0.56 & 101.221125390961 & 0.932907252342788 \tabularnewline
0.57 & 101.380652803621 & 1.01982489951676 \tabularnewline
0.58 & 101.553159990798 & 1.09245014767921 \tabularnewline
0.59 & 101.736050855341 & 1.14603223144675 \tabularnewline
0.6 & 101.926062876633 & 1.17710654685999 \tabularnewline
0.61 & 102.119469079787 & 1.18372485392371 \tabularnewline
0.62 & 102.312327910043 & 1.16531746056035 \tabularnewline
0.63 & 102.500754266226 & 1.12331042980224 \tabularnewline
0.64 & 102.681181730722 & 1.06055506952889 \tabularnewline
0.65 & 102.85058750986 & 0.981257979476372 \tabularnewline
0.66 & 103.006657531688 & 0.890292188518604 \tabularnewline
0.67 & 103.147878385945 & 0.792833927991639 \tabularnewline
0.68 & 103.273553531654 & 0.693936421364869 \tabularnewline
0.69 & 103.383751412625 & 0.59800901979493 \tabularnewline
0.7 & 103.479201020463 & 0.50857515225207 \tabularnewline
0.71 & 103.561154858726 & 0.428405578785148 \tabularnewline
0.72 & 103.631239842754 & 0.359074890246648 \tabularnewline
0.73 & 103.691313875972 & 0.301378316771275 \tabularnewline
0.74 & 103.743340733618 & 0.25552678117488 \tabularnewline
0.75 & 103.789289801317 & 0.221193200939049 \tabularnewline
0.76 & 103.831061457911 & 0.197632817772419 \tabularnewline
0.77 & 103.870434464814 & 0.184004431900221 \tabularnewline
0.78 & 103.909029202315 & 0.179051998934384 \tabularnewline
0.79 & 103.948280088403 & 0.1812401520942 \tabularnewline
0.8 & 103.989411706386 & 0.189090435011576 \tabularnewline
0.81 & 104.033415364032 & 0.20086413799818 \tabularnewline
0.82 & 104.081025074289 & 0.214956825505534 \tabularnewline
0.83 & 104.132693357982 & 0.229757663962906 \tabularnewline
0.84 & 104.188567326301 & 0.243739993418497 \tabularnewline
0.85 & 104.248464634267 & 0.255499165204091 \tabularnewline
0.86 & 104.311848691895 & 0.263757417245908 \tabularnewline
0.87 & 104.377805235876 & 0.267296457873479 \tabularnewline
0.88 & 104.445029492147 & 0.264948988261456 \tabularnewline
0.89 & 104.511843451148 & 0.255727623287896 \tabularnewline
0.9 & 104.576271022443 & 0.238805293066063 \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]0.1[/C][C]98.4408059273494[/C][C]0.678896047030923[/C][/ROW]
[ROW][C]0.11[/C][C]98.6165570750913[/C][C]0.657875633257746[/C][/ROW]
[ROW][C]0.12[/C][C]98.7822582951271[/C][C]0.602268691960868[/C][/ROW]
[ROW][C]0.13[/C][C]98.9307449936294[/C][C]0.524648248597074[/C][/ROW]
[ROW][C]0.14[/C][C]99.0580360987332[/C][C]0.438248025995864[/C][/ROW]
[ROW][C]0.15[/C][C]99.1631978698945[/C][C]0.354252166896275[/C][/ROW]
[ROW][C]0.16[/C][C]99.2476900920188[/C][C]0.280605418779009[/C][/ROW]
[ROW][C]0.17[/C][C]99.3144936194572[/C][C]0.221536187697894[/C][/ROW]
[ROW][C]0.18[/C][C]99.3672699185341[/C][C]0.178337288243446[/C][/ROW]
[ROW][C]0.19[/C][C]99.4097044943631[/C][C]0.150365985468307[/C][/ROW]
[ROW][C]0.2[/C][C]99.4450862981015[/C][C]0.134968818814148[/C][/ROW]
[ROW][C]0.21[/C][C]99.4761034637748[/C][C]0.129312186870487[/C][/ROW]
[ROW][C]0.22[/C][C]99.5047997435563[/C][C]0.13029653518039[/C][/ROW]
[ROW][C]0.23[/C][C]99.5326293125661[/C][C]0.135321151625973[/C][/ROW]
[ROW][C]0.24[/C][C]99.560558211848[/C][C]0.142731639019728[/C][/ROW]
[ROW][C]0.25[/C][C]99.589177447403[/C][C]0.151085549035171[/C][/ROW]
[ROW][C]0.26[/C][C]99.6188083056158[/C][C]0.159643919894031[/C][/ROW]
[ROW][C]0.27[/C][C]99.6495914869745[/C][C]0.168019835769998[/C][/ROW]
[ROW][C]0.28[/C][C]99.6815578740073[/C][C]0.176005205389495[/C][/ROW]
[ROW][C]0.29[/C][C]99.7146813654567[/C][C]0.183558052389092[/C][/ROW]
[ROW][C]0.3[/C][C]99.7489148731427[/C][C]0.190899386120548[/C][/ROW]
[ROW][C]0.31[/C][C]99.784210666968[/C][C]0.198111866966106[/C][/ROW]
[ROW][C]0.32[/C][C]99.820526590955[/C][C]0.205349852992293[/C][/ROW]
[ROW][C]0.33[/C][C]99.8578205229051[/C][C]0.212633394769669[/C][/ROW]
[ROW][C]0.34[/C][C]99.8960366560181[/C][C]0.219582783769968[/C][/ROW]
[ROW][C]0.35[/C][C]99.935088360273[/C][C]0.226337878639379[/C][/ROW]
[ROW][C]0.36[/C][C]99.9748431134624[/C][C]0.231994756826087[/C][/ROW]
[ROW][C]0.37[/C][C]100.015114962584[/C][C]0.23637791888408[/C][/ROW]
[ROW][C]0.38[/C][C]100.055669065005[/C][C]0.238934530561229[/C][/ROW]
[ROW][C]0.39[/C][C]100.09624115856[/C][C]0.239323692876731[/C][/ROW]
[ROW][C]0.4[/C][C]100.136572589172[/C][C]0.237716522098432[/C][/ROW]
[ROW][C]0.41[/C][C]100.176459147254[/C][C]0.234313216936633[/C][/ROW]
[ROW][C]0.42[/C][C]100.215809791044[/C][C]0.230098951800964[/C][/ROW]
[ROW][C]0.43[/C][C]100.254709639085[/C][C]0.226198706493064[/C][/ROW]
[ROW][C]0.44[/C][C]100.293480531516[/C][C]0.224504982476327[/C][/ROW]
[ROW][C]0.45[/C][C]100.33273199254[/C][C]0.227280552974059[/C][/ROW]
[ROW][C]0.46[/C][C]100.373395491236[/C][C]0.237213667647404[/C][/ROW]
[ROW][C]0.47[/C][C]100.416735404527[/C][C]0.256808380234837[/C][/ROW]
[ROW][C]0.48[/C][C]100.464331011738[/C][C]0.288357131473314[/C][/ROW]
[ROW][C]0.49[/C][C]100.518025277364[/C][C]0.332977735599938[/C][/ROW]
[ROW][C]0.5[/C][C]100.579838275116[/C][C]0.391454649692683[/C][/ROW]
[ROW][C]0.51[/C][C]100.651846041705[/C][C]0.46303138672276[/C][/ROW]
[ROW][C]0.52[/C][C]100.73602947018[/C][C]0.546277554058392[/C][/ROW]
[ROW][C]0.53[/C][C]100.834102359357[/C][C]0.638886421703547[/C][/ROW]
[ROW][C]0.54[/C][C]100.947332404303[/C][C]0.737239014206658[/C][/ROW]
[ROW][C]0.55[/C][C]101.076372915372[/C][C]0.836912392276034[/C][/ROW]
[ROW][C]0.56[/C][C]101.221125390961[/C][C]0.932907252342788[/C][/ROW]
[ROW][C]0.57[/C][C]101.380652803621[/C][C]1.01982489951676[/C][/ROW]
[ROW][C]0.58[/C][C]101.553159990798[/C][C]1.09245014767921[/C][/ROW]
[ROW][C]0.59[/C][C]101.736050855341[/C][C]1.14603223144675[/C][/ROW]
[ROW][C]0.6[/C][C]101.926062876633[/C][C]1.17710654685999[/C][/ROW]
[ROW][C]0.61[/C][C]102.119469079787[/C][C]1.18372485392371[/C][/ROW]
[ROW][C]0.62[/C][C]102.312327910043[/C][C]1.16531746056035[/C][/ROW]
[ROW][C]0.63[/C][C]102.500754266226[/C][C]1.12331042980224[/C][/ROW]
[ROW][C]0.64[/C][C]102.681181730722[/C][C]1.06055506952889[/C][/ROW]
[ROW][C]0.65[/C][C]102.85058750986[/C][C]0.981257979476372[/C][/ROW]
[ROW][C]0.66[/C][C]103.006657531688[/C][C]0.890292188518604[/C][/ROW]
[ROW][C]0.67[/C][C]103.147878385945[/C][C]0.792833927991639[/C][/ROW]
[ROW][C]0.68[/C][C]103.273553531654[/C][C]0.693936421364869[/C][/ROW]
[ROW][C]0.69[/C][C]103.383751412625[/C][C]0.59800901979493[/C][/ROW]
[ROW][C]0.7[/C][C]103.479201020463[/C][C]0.50857515225207[/C][/ROW]
[ROW][C]0.71[/C][C]103.561154858726[/C][C]0.428405578785148[/C][/ROW]
[ROW][C]0.72[/C][C]103.631239842754[/C][C]0.359074890246648[/C][/ROW]
[ROW][C]0.73[/C][C]103.691313875972[/C][C]0.301378316771275[/C][/ROW]
[ROW][C]0.74[/C][C]103.743340733618[/C][C]0.25552678117488[/C][/ROW]
[ROW][C]0.75[/C][C]103.789289801317[/C][C]0.221193200939049[/C][/ROW]
[ROW][C]0.76[/C][C]103.831061457911[/C][C]0.197632817772419[/C][/ROW]
[ROW][C]0.77[/C][C]103.870434464814[/C][C]0.184004431900221[/C][/ROW]
[ROW][C]0.78[/C][C]103.909029202315[/C][C]0.179051998934384[/C][/ROW]
[ROW][C]0.79[/C][C]103.948280088403[/C][C]0.1812401520942[/C][/ROW]
[ROW][C]0.8[/C][C]103.989411706386[/C][C]0.189090435011576[/C][/ROW]
[ROW][C]0.81[/C][C]104.033415364032[/C][C]0.20086413799818[/C][/ROW]
[ROW][C]0.82[/C][C]104.081025074289[/C][C]0.214956825505534[/C][/ROW]
[ROW][C]0.83[/C][C]104.132693357982[/C][C]0.229757663962906[/C][/ROW]
[ROW][C]0.84[/C][C]104.188567326301[/C][C]0.243739993418497[/C][/ROW]
[ROW][C]0.85[/C][C]104.248464634267[/C][C]0.255499165204091[/C][/ROW]
[ROW][C]0.86[/C][C]104.311848691895[/C][C]0.263757417245908[/C][/ROW]
[ROW][C]0.87[/C][C]104.377805235876[/C][C]0.267296457873479[/C][/ROW]
[ROW][C]0.88[/C][C]104.445029492147[/C][C]0.264948988261456[/C][/ROW]
[ROW][C]0.89[/C][C]104.511843451148[/C][C]0.255727623287896[/C][/ROW]
[ROW][C]0.9[/C][C]104.576271022443[/C][C]0.238805293066063[/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
0.198.44080592734940.678896047030923
0.1198.61655707509130.657875633257746
0.1298.78225829512710.602268691960868
0.1398.93074499362940.524648248597074
0.1499.05803609873320.438248025995864
0.1599.16319786989450.354252166896275
0.1699.24769009201880.280605418779009
0.1799.31449361945720.221536187697894
0.1899.36726991853410.178337288243446
0.1999.40970449436310.150365985468307
0.299.44508629810150.134968818814148
0.2199.47610346377480.129312186870487
0.2299.50479974355630.13029653518039
0.2399.53262931256610.135321151625973
0.2499.5605582118480.142731639019728
0.2599.5891774474030.151085549035171
0.2699.61880830561580.159643919894031
0.2799.64959148697450.168019835769998
0.2899.68155787400730.176005205389495
0.2999.71468136545670.183558052389092
0.399.74891487314270.190899386120548
0.3199.7842106669680.198111866966106
0.3299.8205265909550.205349852992293
0.3399.85782052290510.212633394769669
0.3499.89603665601810.219582783769968
0.3599.9350883602730.226337878639379
0.3699.97484311346240.231994756826087
0.37100.0151149625840.23637791888408
0.38100.0556690650050.238934530561229
0.39100.096241158560.239323692876731
0.4100.1365725891720.237716522098432
0.41100.1764591472540.234313216936633
0.42100.2158097910440.230098951800964
0.43100.2547096390850.226198706493064
0.44100.2934805315160.224504982476327
0.45100.332731992540.227280552974059
0.46100.3733954912360.237213667647404
0.47100.4167354045270.256808380234837
0.48100.4643310117380.288357131473314
0.49100.5180252773640.332977735599938
0.5100.5798382751160.391454649692683
0.51100.6518460417050.46303138672276
0.52100.736029470180.546277554058392
0.53100.8341023593570.638886421703547
0.54100.9473324043030.737239014206658
0.55101.0763729153720.836912392276034
0.56101.2211253909610.932907252342788
0.57101.3806528036211.01982489951676
0.58101.5531599907981.09245014767921
0.59101.7360508553411.14603223144675
0.6101.9260628766331.17710654685999
0.61102.1194690797871.18372485392371
0.62102.3123279100431.16531746056035
0.63102.5007542662261.12331042980224
0.64102.6811817307221.06055506952889
0.65102.850587509860.981257979476372
0.66103.0066575316880.890292188518604
0.67103.1478783859450.792833927991639
0.68103.2735535316540.693936421364869
0.69103.3837514126250.59800901979493
0.7103.4792010204630.50857515225207
0.71103.5611548587260.428405578785148
0.72103.6312398427540.359074890246648
0.73103.6913138759720.301378316771275
0.74103.7433407336180.25552678117488
0.75103.7892898013170.221193200939049
0.76103.8310614579110.197632817772419
0.77103.8704344648140.184004431900221
0.78103.9090292023150.179051998934384
0.79103.9482800884030.1812401520942
0.8103.9894117063860.189090435011576
0.81104.0334153640320.20086413799818
0.82104.0810250742890.214956825505534
0.83104.1326933579820.229757663962906
0.84104.1885673263010.243739993418497
0.85104.2484646342670.255499165204091
0.86104.3118486918950.263757417245908
0.87104.3778052358760.267296457873479
0.88104.4450294921470.264948988261456
0.89104.5118434511480.255727623287896
0.9104.5762710224430.238805293066063


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.1 ; par2 = 0.9 ; 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')