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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 computationFri, 04 Oct 2013 05:07:26 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/04/t13808776931f4ix7ce4iath12.htm/, Retrieved Mon, 29 Apr 2024 05:52:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213063, Retrieved Mon, 29 Apr 2024 05:52:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact135

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] [] [2013-10-04 09:07:26] [d7aee701571668449ffc3c4d70a8a545] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6
6
5
5
3
5
5
5
3
6
6
4
6
5
4
5
5
4
3
2
3
2
-1
0
-2
1
-2
-2
-2
-6
-4
-2
0
-5
-4
-5
-1
-2
-4
-1
1
1
-2
1
1
3
3
1
1
0
2
2
-1
1
0
1
1
3
2
0
0
3
-2
0
1
-1
-2
-1
-1
1
-2
-5
-5
-6
-4
-3
-3
-1
-2
-3
-3
-3
-5
-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'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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213063&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213063&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213063&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-5.898721448741080.275628897708016
0.02-5.684337498700250.460187464054252
0.03-5.432772271372810.428643311590774
0.04-5.218912064948070.304803275370933
0.05-5.063084690692310.226752973757365
0.06-4.943840727740760.24943571885123
0.07-4.830150611950370.334563207778148
0.08-4.700774312994060.434558030879307
0.09-4.548140344654760.522875134000442
0.1-4.374568269594290.587385406642864
0.11-4.187006909478750.627046189687759
0.12-3.993019709228550.647213353165118
0.13-3.798669744904360.65443017134104
0.14-3.607980414806410.653330336143896
0.15-3.423298903119810.646339164056343
0.16-3.245947169763250.634555035684252
0.17-3.076800258540610.618286976586915
0.18-2.916670799552790.597060335615463
0.19-2.766495766039570.569715067131768
0.2-2.627341206822590.535124399190177
0.21-2.500239882780220.493224699792349
0.22-2.385902423350290.445817558077316
0.23-2.284387112622890.39673872277139
0.24-2.194841474432810.351367976485393
0.25-2.115415265835890.315725551184003
0.26-2.04339172943390.295174070187912
0.27-1.97551549886870.292669850999558
0.28-1.908438692822520.307371230041991
0.29-1.839178866150680.335061484069883
0.3-1.765487048841070.369994063738093
0.31-1.686054040271060.406531642630887
0.32-1.600526702467940.440084075301688
0.33-1.509351200203740.467613645310201
0.34-1.413496845572230.487885488631227
0.35-1.31413513008830.501408022177284
0.36-1.212350026828610.510031934681073
0.37-1.108938570306650.516273430009117
0.38-1.004330613996850.522511923352321
0.39-0.8986225790677480.530313117336156
0.4-0.7916919066678120.540098473956237
0.41-0.683344458991910.551243748277916
0.42-0.5734490546377870.562503291645915
0.43-0.4620287715455930.572515700282785
0.44-0.3493003650551390.580170371106866
0.45-0.2356724678908550.584744608334342
0.46-0.1217233962849010.585803740494818
0.47-0.008177900156015190.582989075225486
0.480.1041085527689490.575818735919121
0.490.214163479991510.563636006814445
0.50.3209252643741520.545756654403792
0.510.423303671312890.521774326005737
0.520.5202840355789320.491916725436054
0.530.6110716320120080.457331433731439
0.540.6952563912246290.420209971237181
0.550.7729657333330610.383735291248995
0.560.8449691491920550.351850166049073
0.570.9127037475006460.328847641120755
0.580.9782038347429430.318660064084935
0.591.043936042367830.323833604439485
0.61.112559967879820.344619074886382
0.611.186648483237220.378932295047069
0.621.268408798134180.42310639277062
0.631.359443922710.472731499218445
0.641.460585303611670.523244469886159
0.651.571813945711840.570321921116922
0.661.692273309415340.610179655855178
0.671.820366672623110.63981367678317
0.681.953926843376760.657168136527173
0.692.090446598173240.66127217952353
0.72.227360398513790.652370036646298
0.712.362366466611530.632052987304326
0.722.493768840056660.603417374781895
0.732.620801238247820.571101179234136
0.742.743873800904580.541120611477829
0.752.864670051450930.520276545533315
0.762.986025800722430.514837028123712
0.773.111550925982670.528527082767129
0.783.245007430614720.560726968134038
0.793.389521990929020.606101501473339
0.83.546771171605410.655779980216539
0.813.716314947629780.699155857392896
0.823.89525643109210.725748474712729
0.834.078368168588510.727026774737469
0.844.258751798448780.698169374656696
0.854.428999167099480.639391120883541
0.864.582715174951320.556560949839101
0.874.716161188707470.460806319476161
0.884.82968757985710.367307824779624
0.894.928533315001080.294182160602312
0.95.02247714312070.261241871603266
0.915.1238102283580.279957550592486
0.925.24340127913660.336684802251844
0.935.385539555064780.397978271944912
0.945.543704851412330.425860673525592
0.955.700460629070740.392712330209999
0.965.833586701174640.298426183262967
0.975.926564275836510.175937281444971
0.985.976951983456030.0723365472646228
0.995.996061190897680.0159375849107772

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -5.89872144874108 & 0.275628897708016 \tabularnewline
0.02 & -5.68433749870025 & 0.460187464054252 \tabularnewline
0.03 & -5.43277227137281 & 0.428643311590774 \tabularnewline
0.04 & -5.21891206494807 & 0.304803275370933 \tabularnewline
0.05 & -5.06308469069231 & 0.226752973757365 \tabularnewline
0.06 & -4.94384072774076 & 0.24943571885123 \tabularnewline
0.07 & -4.83015061195037 & 0.334563207778148 \tabularnewline
0.08 & -4.70077431299406 & 0.434558030879307 \tabularnewline
0.09 & -4.54814034465476 & 0.522875134000442 \tabularnewline
0.1 & -4.37456826959429 & 0.587385406642864 \tabularnewline
0.11 & -4.18700690947875 & 0.627046189687759 \tabularnewline
0.12 & -3.99301970922855 & 0.647213353165118 \tabularnewline
0.13 & -3.79866974490436 & 0.65443017134104 \tabularnewline
0.14 & -3.60798041480641 & 0.653330336143896 \tabularnewline
0.15 & -3.42329890311981 & 0.646339164056343 \tabularnewline
0.16 & -3.24594716976325 & 0.634555035684252 \tabularnewline
0.17 & -3.07680025854061 & 0.618286976586915 \tabularnewline
0.18 & -2.91667079955279 & 0.597060335615463 \tabularnewline
0.19 & -2.76649576603957 & 0.569715067131768 \tabularnewline
0.2 & -2.62734120682259 & 0.535124399190177 \tabularnewline
0.21 & -2.50023988278022 & 0.493224699792349 \tabularnewline
0.22 & -2.38590242335029 & 0.445817558077316 \tabularnewline
0.23 & -2.28438711262289 & 0.39673872277139 \tabularnewline
0.24 & -2.19484147443281 & 0.351367976485393 \tabularnewline
0.25 & -2.11541526583589 & 0.315725551184003 \tabularnewline
0.26 & -2.0433917294339 & 0.295174070187912 \tabularnewline
0.27 & -1.9755154988687 & 0.292669850999558 \tabularnewline
0.28 & -1.90843869282252 & 0.307371230041991 \tabularnewline
0.29 & -1.83917886615068 & 0.335061484069883 \tabularnewline
0.3 & -1.76548704884107 & 0.369994063738093 \tabularnewline
0.31 & -1.68605404027106 & 0.406531642630887 \tabularnewline
0.32 & -1.60052670246794 & 0.440084075301688 \tabularnewline
0.33 & -1.50935120020374 & 0.467613645310201 \tabularnewline
0.34 & -1.41349684557223 & 0.487885488631227 \tabularnewline
0.35 & -1.3141351300883 & 0.501408022177284 \tabularnewline
0.36 & -1.21235002682861 & 0.510031934681073 \tabularnewline
0.37 & -1.10893857030665 & 0.516273430009117 \tabularnewline
0.38 & -1.00433061399685 & 0.522511923352321 \tabularnewline
0.39 & -0.898622579067748 & 0.530313117336156 \tabularnewline
0.4 & -0.791691906667812 & 0.540098473956237 \tabularnewline
0.41 & -0.68334445899191 & 0.551243748277916 \tabularnewline
0.42 & -0.573449054637787 & 0.562503291645915 \tabularnewline
0.43 & -0.462028771545593 & 0.572515700282785 \tabularnewline
0.44 & -0.349300365055139 & 0.580170371106866 \tabularnewline
0.45 & -0.235672467890855 & 0.584744608334342 \tabularnewline
0.46 & -0.121723396284901 & 0.585803740494818 \tabularnewline
0.47 & -0.00817790015601519 & 0.582989075225486 \tabularnewline
0.48 & 0.104108552768949 & 0.575818735919121 \tabularnewline
0.49 & 0.21416347999151 & 0.563636006814445 \tabularnewline
0.5 & 0.320925264374152 & 0.545756654403792 \tabularnewline
0.51 & 0.42330367131289 & 0.521774326005737 \tabularnewline
0.52 & 0.520284035578932 & 0.491916725436054 \tabularnewline
0.53 & 0.611071632012008 & 0.457331433731439 \tabularnewline
0.54 & 0.695256391224629 & 0.420209971237181 \tabularnewline
0.55 & 0.772965733333061 & 0.383735291248995 \tabularnewline
0.56 & 0.844969149192055 & 0.351850166049073 \tabularnewline
0.57 & 0.912703747500646 & 0.328847641120755 \tabularnewline
0.58 & 0.978203834742943 & 0.318660064084935 \tabularnewline
0.59 & 1.04393604236783 & 0.323833604439485 \tabularnewline
0.6 & 1.11255996787982 & 0.344619074886382 \tabularnewline
0.61 & 1.18664848323722 & 0.378932295047069 \tabularnewline
0.62 & 1.26840879813418 & 0.42310639277062 \tabularnewline
0.63 & 1.35944392271 & 0.472731499218445 \tabularnewline
0.64 & 1.46058530361167 & 0.523244469886159 \tabularnewline
0.65 & 1.57181394571184 & 0.570321921116922 \tabularnewline
0.66 & 1.69227330941534 & 0.610179655855178 \tabularnewline
0.67 & 1.82036667262311 & 0.63981367678317 \tabularnewline
0.68 & 1.95392684337676 & 0.657168136527173 \tabularnewline
0.69 & 2.09044659817324 & 0.66127217952353 \tabularnewline
0.7 & 2.22736039851379 & 0.652370036646298 \tabularnewline
0.71 & 2.36236646661153 & 0.632052987304326 \tabularnewline
0.72 & 2.49376884005666 & 0.603417374781895 \tabularnewline
0.73 & 2.62080123824782 & 0.571101179234136 \tabularnewline
0.74 & 2.74387380090458 & 0.541120611477829 \tabularnewline
0.75 & 2.86467005145093 & 0.520276545533315 \tabularnewline
0.76 & 2.98602580072243 & 0.514837028123712 \tabularnewline
0.77 & 3.11155092598267 & 0.528527082767129 \tabularnewline
0.78 & 3.24500743061472 & 0.560726968134038 \tabularnewline
0.79 & 3.38952199092902 & 0.606101501473339 \tabularnewline
0.8 & 3.54677117160541 & 0.655779980216539 \tabularnewline
0.81 & 3.71631494762978 & 0.699155857392896 \tabularnewline
0.82 & 3.8952564310921 & 0.725748474712729 \tabularnewline
0.83 & 4.07836816858851 & 0.727026774737469 \tabularnewline
0.84 & 4.25875179844878 & 0.698169374656696 \tabularnewline
0.85 & 4.42899916709948 & 0.639391120883541 \tabularnewline
0.86 & 4.58271517495132 & 0.556560949839101 \tabularnewline
0.87 & 4.71616118870747 & 0.460806319476161 \tabularnewline
0.88 & 4.8296875798571 & 0.367307824779624 \tabularnewline
0.89 & 4.92853331500108 & 0.294182160602312 \tabularnewline
0.9 & 5.0224771431207 & 0.261241871603266 \tabularnewline
0.91 & 5.123810228358 & 0.279957550592486 \tabularnewline
0.92 & 5.2434012791366 & 0.336684802251844 \tabularnewline
0.93 & 5.38553955506478 & 0.397978271944912 \tabularnewline
0.94 & 5.54370485141233 & 0.425860673525592 \tabularnewline
0.95 & 5.70046062907074 & 0.392712330209999 \tabularnewline
0.96 & 5.83358670117464 & 0.298426183262967 \tabularnewline
0.97 & 5.92656427583651 & 0.175937281444971 \tabularnewline
0.98 & 5.97695198345603 & 0.0723365472646228 \tabularnewline
0.99 & 5.99606119089768 & 0.0159375849107772 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213063&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]-5.89872144874108[/C][C]0.275628897708016[/C][/ROW]
[ROW][C]0.02[/C][C]-5.68433749870025[/C][C]0.460187464054252[/C][/ROW]
[ROW][C]0.03[/C][C]-5.43277227137281[/C][C]0.428643311590774[/C][/ROW]
[ROW][C]0.04[/C][C]-5.21891206494807[/C][C]0.304803275370933[/C][/ROW]
[ROW][C]0.05[/C][C]-5.06308469069231[/C][C]0.226752973757365[/C][/ROW]
[ROW][C]0.06[/C][C]-4.94384072774076[/C][C]0.24943571885123[/C][/ROW]
[ROW][C]0.07[/C][C]-4.83015061195037[/C][C]0.334563207778148[/C][/ROW]
[ROW][C]0.08[/C][C]-4.70077431299406[/C][C]0.434558030879307[/C][/ROW]
[ROW][C]0.09[/C][C]-4.54814034465476[/C][C]0.522875134000442[/C][/ROW]
[ROW][C]0.1[/C][C]-4.37456826959429[/C][C]0.587385406642864[/C][/ROW]
[ROW][C]0.11[/C][C]-4.18700690947875[/C][C]0.627046189687759[/C][/ROW]
[ROW][C]0.12[/C][C]-3.99301970922855[/C][C]0.647213353165118[/C][/ROW]
[ROW][C]0.13[/C][C]-3.79866974490436[/C][C]0.65443017134104[/C][/ROW]
[ROW][C]0.14[/C][C]-3.60798041480641[/C][C]0.653330336143896[/C][/ROW]
[ROW][C]0.15[/C][C]-3.42329890311981[/C][C]0.646339164056343[/C][/ROW]
[ROW][C]0.16[/C][C]-3.24594716976325[/C][C]0.634555035684252[/C][/ROW]
[ROW][C]0.17[/C][C]-3.07680025854061[/C][C]0.618286976586915[/C][/ROW]
[ROW][C]0.18[/C][C]-2.91667079955279[/C][C]0.597060335615463[/C][/ROW]
[ROW][C]0.19[/C][C]-2.76649576603957[/C][C]0.569715067131768[/C][/ROW]
[ROW][C]0.2[/C][C]-2.62734120682259[/C][C]0.535124399190177[/C][/ROW]
[ROW][C]0.21[/C][C]-2.50023988278022[/C][C]0.493224699792349[/C][/ROW]
[ROW][C]0.22[/C][C]-2.38590242335029[/C][C]0.445817558077316[/C][/ROW]
[ROW][C]0.23[/C][C]-2.28438711262289[/C][C]0.39673872277139[/C][/ROW]
[ROW][C]0.24[/C][C]-2.19484147443281[/C][C]0.351367976485393[/C][/ROW]
[ROW][C]0.25[/C][C]-2.11541526583589[/C][C]0.315725551184003[/C][/ROW]
[ROW][C]0.26[/C][C]-2.0433917294339[/C][C]0.295174070187912[/C][/ROW]
[ROW][C]0.27[/C][C]-1.9755154988687[/C][C]0.292669850999558[/C][/ROW]
[ROW][C]0.28[/C][C]-1.90843869282252[/C][C]0.307371230041991[/C][/ROW]
[ROW][C]0.29[/C][C]-1.83917886615068[/C][C]0.335061484069883[/C][/ROW]
[ROW][C]0.3[/C][C]-1.76548704884107[/C][C]0.369994063738093[/C][/ROW]
[ROW][C]0.31[/C][C]-1.68605404027106[/C][C]0.406531642630887[/C][/ROW]
[ROW][C]0.32[/C][C]-1.60052670246794[/C][C]0.440084075301688[/C][/ROW]
[ROW][C]0.33[/C][C]-1.50935120020374[/C][C]0.467613645310201[/C][/ROW]
[ROW][C]0.34[/C][C]-1.41349684557223[/C][C]0.487885488631227[/C][/ROW]
[ROW][C]0.35[/C][C]-1.3141351300883[/C][C]0.501408022177284[/C][/ROW]
[ROW][C]0.36[/C][C]-1.21235002682861[/C][C]0.510031934681073[/C][/ROW]
[ROW][C]0.37[/C][C]-1.10893857030665[/C][C]0.516273430009117[/C][/ROW]
[ROW][C]0.38[/C][C]-1.00433061399685[/C][C]0.522511923352321[/C][/ROW]
[ROW][C]0.39[/C][C]-0.898622579067748[/C][C]0.530313117336156[/C][/ROW]
[ROW][C]0.4[/C][C]-0.791691906667812[/C][C]0.540098473956237[/C][/ROW]
[ROW][C]0.41[/C][C]-0.68334445899191[/C][C]0.551243748277916[/C][/ROW]
[ROW][C]0.42[/C][C]-0.573449054637787[/C][C]0.562503291645915[/C][/ROW]
[ROW][C]0.43[/C][C]-0.462028771545593[/C][C]0.572515700282785[/C][/ROW]
[ROW][C]0.44[/C][C]-0.349300365055139[/C][C]0.580170371106866[/C][/ROW]
[ROW][C]0.45[/C][C]-0.235672467890855[/C][C]0.584744608334342[/C][/ROW]
[ROW][C]0.46[/C][C]-0.121723396284901[/C][C]0.585803740494818[/C][/ROW]
[ROW][C]0.47[/C][C]-0.00817790015601519[/C][C]0.582989075225486[/C][/ROW]
[ROW][C]0.48[/C][C]0.104108552768949[/C][C]0.575818735919121[/C][/ROW]
[ROW][C]0.49[/C][C]0.21416347999151[/C][C]0.563636006814445[/C][/ROW]
[ROW][C]0.5[/C][C]0.320925264374152[/C][C]0.545756654403792[/C][/ROW]
[ROW][C]0.51[/C][C]0.42330367131289[/C][C]0.521774326005737[/C][/ROW]
[ROW][C]0.52[/C][C]0.520284035578932[/C][C]0.491916725436054[/C][/ROW]
[ROW][C]0.53[/C][C]0.611071632012008[/C][C]0.457331433731439[/C][/ROW]
[ROW][C]0.54[/C][C]0.695256391224629[/C][C]0.420209971237181[/C][/ROW]
[ROW][C]0.55[/C][C]0.772965733333061[/C][C]0.383735291248995[/C][/ROW]
[ROW][C]0.56[/C][C]0.844969149192055[/C][C]0.351850166049073[/C][/ROW]
[ROW][C]0.57[/C][C]0.912703747500646[/C][C]0.328847641120755[/C][/ROW]
[ROW][C]0.58[/C][C]0.978203834742943[/C][C]0.318660064084935[/C][/ROW]
[ROW][C]0.59[/C][C]1.04393604236783[/C][C]0.323833604439485[/C][/ROW]
[ROW][C]0.6[/C][C]1.11255996787982[/C][C]0.344619074886382[/C][/ROW]
[ROW][C]0.61[/C][C]1.18664848323722[/C][C]0.378932295047069[/C][/ROW]
[ROW][C]0.62[/C][C]1.26840879813418[/C][C]0.42310639277062[/C][/ROW]
[ROW][C]0.63[/C][C]1.35944392271[/C][C]0.472731499218445[/C][/ROW]
[ROW][C]0.64[/C][C]1.46058530361167[/C][C]0.523244469886159[/C][/ROW]
[ROW][C]0.65[/C][C]1.57181394571184[/C][C]0.570321921116922[/C][/ROW]
[ROW][C]0.66[/C][C]1.69227330941534[/C][C]0.610179655855178[/C][/ROW]
[ROW][C]0.67[/C][C]1.82036667262311[/C][C]0.63981367678317[/C][/ROW]
[ROW][C]0.68[/C][C]1.95392684337676[/C][C]0.657168136527173[/C][/ROW]
[ROW][C]0.69[/C][C]2.09044659817324[/C][C]0.66127217952353[/C][/ROW]
[ROW][C]0.7[/C][C]2.22736039851379[/C][C]0.652370036646298[/C][/ROW]
[ROW][C]0.71[/C][C]2.36236646661153[/C][C]0.632052987304326[/C][/ROW]
[ROW][C]0.72[/C][C]2.49376884005666[/C][C]0.603417374781895[/C][/ROW]
[ROW][C]0.73[/C][C]2.62080123824782[/C][C]0.571101179234136[/C][/ROW]
[ROW][C]0.74[/C][C]2.74387380090458[/C][C]0.541120611477829[/C][/ROW]
[ROW][C]0.75[/C][C]2.86467005145093[/C][C]0.520276545533315[/C][/ROW]
[ROW][C]0.76[/C][C]2.98602580072243[/C][C]0.514837028123712[/C][/ROW]
[ROW][C]0.77[/C][C]3.11155092598267[/C][C]0.528527082767129[/C][/ROW]
[ROW][C]0.78[/C][C]3.24500743061472[/C][C]0.560726968134038[/C][/ROW]
[ROW][C]0.79[/C][C]3.38952199092902[/C][C]0.606101501473339[/C][/ROW]
[ROW][C]0.8[/C][C]3.54677117160541[/C][C]0.655779980216539[/C][/ROW]
[ROW][C]0.81[/C][C]3.71631494762978[/C][C]0.699155857392896[/C][/ROW]
[ROW][C]0.82[/C][C]3.8952564310921[/C][C]0.725748474712729[/C][/ROW]
[ROW][C]0.83[/C][C]4.07836816858851[/C][C]0.727026774737469[/C][/ROW]
[ROW][C]0.84[/C][C]4.25875179844878[/C][C]0.698169374656696[/C][/ROW]
[ROW][C]0.85[/C][C]4.42899916709948[/C][C]0.639391120883541[/C][/ROW]
[ROW][C]0.86[/C][C]4.58271517495132[/C][C]0.556560949839101[/C][/ROW]
[ROW][C]0.87[/C][C]4.71616118870747[/C][C]0.460806319476161[/C][/ROW]
[ROW][C]0.88[/C][C]4.8296875798571[/C][C]0.367307824779624[/C][/ROW]
[ROW][C]0.89[/C][C]4.92853331500108[/C][C]0.294182160602312[/C][/ROW]
[ROW][C]0.9[/C][C]5.0224771431207[/C][C]0.261241871603266[/C][/ROW]
[ROW][C]0.91[/C][C]5.123810228358[/C][C]0.279957550592486[/C][/ROW]
[ROW][C]0.92[/C][C]5.2434012791366[/C][C]0.336684802251844[/C][/ROW]
[ROW][C]0.93[/C][C]5.38553955506478[/C][C]0.397978271944912[/C][/ROW]
[ROW][C]0.94[/C][C]5.54370485141233[/C][C]0.425860673525592[/C][/ROW]
[ROW][C]0.95[/C][C]5.70046062907074[/C][C]0.392712330209999[/C][/ROW]
[ROW][C]0.96[/C][C]5.83358670117464[/C][C]0.298426183262967[/C][/ROW]
[ROW][C]0.97[/C][C]5.92656427583651[/C][C]0.175937281444971[/C][/ROW]
[ROW][C]0.98[/C][C]5.97695198345603[/C][C]0.0723365472646228[/C][/ROW]
[ROW][C]0.99[/C][C]5.99606119089768[/C][C]0.0159375849107772[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213063&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213063&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
0.01-5.898721448741080.275628897708016
0.02-5.684337498700250.460187464054252
0.03-5.432772271372810.428643311590774
0.04-5.218912064948070.304803275370933
0.05-5.063084690692310.226752973757365
0.06-4.943840727740760.24943571885123
0.07-4.830150611950370.334563207778148
0.08-4.700774312994060.434558030879307
0.09-4.548140344654760.522875134000442
0.1-4.374568269594290.587385406642864
0.11-4.187006909478750.627046189687759
0.12-3.993019709228550.647213353165118
0.13-3.798669744904360.65443017134104
0.14-3.607980414806410.653330336143896
0.15-3.423298903119810.646339164056343
0.16-3.245947169763250.634555035684252
0.17-3.076800258540610.618286976586915
0.18-2.916670799552790.597060335615463
0.19-2.766495766039570.569715067131768
0.2-2.627341206822590.535124399190177
0.21-2.500239882780220.493224699792349
0.22-2.385902423350290.445817558077316
0.23-2.284387112622890.39673872277139
0.24-2.194841474432810.351367976485393
0.25-2.115415265835890.315725551184003
0.26-2.04339172943390.295174070187912
0.27-1.97551549886870.292669850999558
0.28-1.908438692822520.307371230041991
0.29-1.839178866150680.335061484069883
0.3-1.765487048841070.369994063738093
0.31-1.686054040271060.406531642630887
0.32-1.600526702467940.440084075301688
0.33-1.509351200203740.467613645310201
0.34-1.413496845572230.487885488631227
0.35-1.31413513008830.501408022177284
0.36-1.212350026828610.510031934681073
0.37-1.108938570306650.516273430009117
0.38-1.004330613996850.522511923352321
0.39-0.8986225790677480.530313117336156
0.4-0.7916919066678120.540098473956237
0.41-0.683344458991910.551243748277916
0.42-0.5734490546377870.562503291645915
0.43-0.4620287715455930.572515700282785
0.44-0.3493003650551390.580170371106866
0.45-0.2356724678908550.584744608334342
0.46-0.1217233962849010.585803740494818
0.47-0.008177900156015190.582989075225486
0.480.1041085527689490.575818735919121
0.490.214163479991510.563636006814445
0.50.3209252643741520.545756654403792
0.510.423303671312890.521774326005737
0.520.5202840355789320.491916725436054
0.530.6110716320120080.457331433731439
0.540.6952563912246290.420209971237181
0.550.7729657333330610.383735291248995
0.560.8449691491920550.351850166049073
0.570.9127037475006460.328847641120755
0.580.9782038347429430.318660064084935
0.591.043936042367830.323833604439485
0.61.112559967879820.344619074886382
0.611.186648483237220.378932295047069
0.621.268408798134180.42310639277062
0.631.359443922710.472731499218445
0.641.460585303611670.523244469886159
0.651.571813945711840.570321921116922
0.661.692273309415340.610179655855178
0.671.820366672623110.63981367678317
0.681.953926843376760.657168136527173
0.692.090446598173240.66127217952353
0.72.227360398513790.652370036646298
0.712.362366466611530.632052987304326
0.722.493768840056660.603417374781895
0.732.620801238247820.571101179234136
0.742.743873800904580.541120611477829
0.752.864670051450930.520276545533315
0.762.986025800722430.514837028123712
0.773.111550925982670.528527082767129
0.783.245007430614720.560726968134038
0.793.389521990929020.606101501473339
0.83.546771171605410.655779980216539
0.813.716314947629780.699155857392896
0.823.89525643109210.725748474712729
0.834.078368168588510.727026774737469
0.844.258751798448780.698169374656696
0.854.428999167099480.639391120883541
0.864.582715174951320.556560949839101
0.874.716161188707470.460806319476161
0.884.82968757985710.367307824779624
0.894.928533315001080.294182160602312
0.95.02247714312070.261241871603266
0.915.1238102283580.279957550592486
0.925.24340127913660.336684802251844
0.935.385539555064780.397978271944912
0.945.543704851412330.425860673525592
0.955.700460629070740.392712330209999
0.965.833586701174640.298426183262967
0.975.926564275836510.175937281444971
0.985.976951983456030.0723365472646228
0.995.996061190897680.0159375849107772


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):
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')