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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 18 Dec 2009 02:04:05 -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/2009/Dec/18/t12611275752jhzcv3nltwatrw.htm/, Retrieved Sat, 27 Apr 2024 05:58:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69171, Retrieved Sat, 27 Apr 2024 05:58:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Pearson Correlation] [Correlation: inve...] [2008-12-16 19:18:46] [5161246d1ccc1b670cc664d03050f084]
- RMPD  [Univariate Data Series] [] [2008-12-17 14:56:45] [b98453cac15ba1066b407e146608df68]
-   PD    [Univariate Data Series] [] [2008-12-17 19:32:14] [b98453cac15ba1066b407e146608df68]
-  MPD      [Univariate Data Series] [Res1] [2009-12-17 19:22:49] [7d268329e554b8694908ba13e6e6f258]
- RMP           [Harrell-Davis Quantiles] [HDQ1] [2009-12-18 09:04:05] [5edea6bc5a9a9483633d9320282a2734] [Current]
-   P             [Harrell-Davis Quantiles] [HDQ1] [2009-12-18 16:08:04] [7d268329e554b8694908ba13e6e6f258]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.0447208800237501
0.0628789570160542
-0.196265683554080
-0.156168002495438
0.164470110053280
-0.0653533615252956
0.0627829130831423
-0.0535847490926473
-0.311709457136278
-0.138251455226786
0.251966886824416
-0.140596573588994
0.00876106609524287
0.0593850547200641
-0.228817679428104
0.0939213677061848
0.120962527532223
0.128494977321424
0.167236762143601
-0.606288685481547
-0.251842142656184
-0.251954149030317
-0.130700053511714
-0.0381982122366429
0.610113339025282
-0.223597766086544
-0.172567983991916
0.195085900109628
0.114403162113202
-0.200428770318022
-0.0418505063987653
0.00344641563838091
0.460899556083119
0.304710803036061
0.089759420231955
-0.188844764167923
0.160414630695268
0.149597979701001
0.163563282502204
0.127263884814720
-0.290696423856117
0.0211128044723951
-0.176510190183034
-0.112803717622444
0.0771853672896475
-0.418723106479802
0.0137663091330624

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69171&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69171&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69171&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.5741651955002320.169393283884939
0.02-0.5268784043111940.149054757333911
0.03-0.474674412631670.127157547983207
0.04-0.4254988934547580.106557590481583
0.05-0.3834096985915860.0884019527085802
0.06-0.3493449764557840.0730577212426646
0.07-0.3225158826184510.060623333693288
0.08-0.3015095929429720.050989953938191
0.09-0.2849029330311700.0438278774131149
0.1-0.2715073741067110.0386678500129164
0.11-0.2604152749984640.0350273897117421
0.12-0.2509656224564680.0324935931503946
0.13-0.2426896133356240.0307426918190485
0.14-0.2352598788291690.0295297568880818
0.15-0.2284497639228440.0286735064914608
0.16-0.2221025395772990.0280492548256217
0.17-0.2161086827484380.0275822911450325
0.18-0.210389336628860.0272395528533317
0.19-0.2048844828633840.0270186042521046
0.2-0.1995447608528220.0269363833948844
0.21-0.1943261347187710.0270172456328272
0.22-0.1891867501302380.0272855537829023
0.23-0.1840854004522540.0277594321680091
0.24-0.1789810907294700.0284489502954403
0.25-0.1738332789310370.0293574035194435
0.26-0.1686024879611880.0304819757410064
0.27-0.1632511013216040.0318153465936971
0.28-0.1577442563330160.0333451318866815
0.29-0.1520508131015560.0350522775885489
0.3-0.1461443979507710.0369093514341353
0.31-0.1400045022074620.0388782642174072
0.32-0.133617575901330.0409095761223074
0.33-0.1269780104695390.0429442377815126
0.34-0.1200888733137410.0449156340704299
0.35-0.1129622528770500.0467553310045719
0.36-0.1056191004285570.0483973356943069
0.37-0.09808850998742640.0497841501638964
0.38-0.09040644989523180.0508711353464634
0.39-0.0826140338258550.0516297057989133
0.4-0.0747554808905930.0520483392137935
0.41-0.0668759527034880.052132846520345
0.42-0.05901946413338980.0519035381065249
0.43-0.05122704450948990.0513923084474398
0.44-0.0435352831418090.0506388789293324
0.45-0.03597533645700930.0496867468422439
0.46-0.02857241416056740.0485798587371565
0.47-0.02134570782336880.0473598435089086
0.48-0.01430868377006070.0460640295990053
0.49-0.007469636575630170.0447243956253584
0.5-0.0008323903918428790.0433672327562498
0.510.005602958912535190.0420133132346797
0.520.01183935013350570.0406784417916006
0.530.01788217487491150.0393746521143484
0.540.02373883985329150.0381113497339244
0.550.02941847391317240.03689681448322
0.560.03493175122432010.0357393094383421
0.570.04029077958999770.0346480000040731
0.580.04550899019629250.0336331074875217
0.590.05060096495361740.0327051500284383
0.60.05558215065383820.0318735936767309
0.610.06046843406479240.0311448409299557
0.620.06527558487798190.0305202571229265
0.630.07001860799450230.0299945971026179
0.640.07471107561133320.0295555951121368
0.650.07936452580935780.0291844785038268
0.660.0839880126567520.0288582647002626
0.670.08858787162577250.0285523104191311
0.680.09316772648767770.0282435411808750
0.690.0977287178704890.02791307439508
0.70.1022698914962140.0275481138093001
0.710.1067886599402930.0271418329475439
0.720.1112812586896360.026693134488196
0.730.1157431636635580.0262038029051933
0.740.1201695231609260.0256766721904258
0.750.1245557712995960.0251131328279697
0.760.1288987094768650.0245132772724384
0.770.1331984344087710.0238790855204565
0.780.1374615185659410.0232206809828966
0.790.1417057781345500.0225664578723299
0.80.1459667774379900.0219770097917925
0.810.150305927788740.0215596462558979
0.820.1548196928680230.0214812943703880
0.830.1596491049083730.0219706318294294
0.840.164988651630410.0232962070314357
0.850.1710937366878810.0257167795000366
0.860.1782864040210440.0294253667036253
0.870.1869597538319750.0345245895644063
0.880.1975821382778650.0410409501596968
0.890.2107022344933170.0489620475910099
0.90.2269547120594480.0582735874279216
0.910.2470626404934350.0689730327363452
0.920.2718260277327280.0810177720573848
0.930.3020742152294780.0941651989029566
0.940.3385407237612430.107728659726362
0.950.3815930416565020.120428112412060
0.960.4307341981925640.130654706970411
0.970.4838465890940570.137362350598439
0.980.5363802451001850.141117222696949
0.990.5811733131355310.143768219759588

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.574165195500232 & 0.169393283884939 \tabularnewline
0.02 & -0.526878404311194 & 0.149054757333911 \tabularnewline
0.03 & -0.47467441263167 & 0.127157547983207 \tabularnewline
0.04 & -0.425498893454758 & 0.106557590481583 \tabularnewline
0.05 & -0.383409698591586 & 0.0884019527085802 \tabularnewline
0.06 & -0.349344976455784 & 0.0730577212426646 \tabularnewline
0.07 & -0.322515882618451 & 0.060623333693288 \tabularnewline
0.08 & -0.301509592942972 & 0.050989953938191 \tabularnewline
0.09 & -0.284902933031170 & 0.0438278774131149 \tabularnewline
0.1 & -0.271507374106711 & 0.0386678500129164 \tabularnewline
0.11 & -0.260415274998464 & 0.0350273897117421 \tabularnewline
0.12 & -0.250965622456468 & 0.0324935931503946 \tabularnewline
0.13 & -0.242689613335624 & 0.0307426918190485 \tabularnewline
0.14 & -0.235259878829169 & 0.0295297568880818 \tabularnewline
0.15 & -0.228449763922844 & 0.0286735064914608 \tabularnewline
0.16 & -0.222102539577299 & 0.0280492548256217 \tabularnewline
0.17 & -0.216108682748438 & 0.0275822911450325 \tabularnewline
0.18 & -0.21038933662886 & 0.0272395528533317 \tabularnewline
0.19 & -0.204884482863384 & 0.0270186042521046 \tabularnewline
0.2 & -0.199544760852822 & 0.0269363833948844 \tabularnewline
0.21 & -0.194326134718771 & 0.0270172456328272 \tabularnewline
0.22 & -0.189186750130238 & 0.0272855537829023 \tabularnewline
0.23 & -0.184085400452254 & 0.0277594321680091 \tabularnewline
0.24 & -0.178981090729470 & 0.0284489502954403 \tabularnewline
0.25 & -0.173833278931037 & 0.0293574035194435 \tabularnewline
0.26 & -0.168602487961188 & 0.0304819757410064 \tabularnewline
0.27 & -0.163251101321604 & 0.0318153465936971 \tabularnewline
0.28 & -0.157744256333016 & 0.0333451318866815 \tabularnewline
0.29 & -0.152050813101556 & 0.0350522775885489 \tabularnewline
0.3 & -0.146144397950771 & 0.0369093514341353 \tabularnewline
0.31 & -0.140004502207462 & 0.0388782642174072 \tabularnewline
0.32 & -0.13361757590133 & 0.0409095761223074 \tabularnewline
0.33 & -0.126978010469539 & 0.0429442377815126 \tabularnewline
0.34 & -0.120088873313741 & 0.0449156340704299 \tabularnewline
0.35 & -0.112962252877050 & 0.0467553310045719 \tabularnewline
0.36 & -0.105619100428557 & 0.0483973356943069 \tabularnewline
0.37 & -0.0980885099874264 & 0.0497841501638964 \tabularnewline
0.38 & -0.0904064498952318 & 0.0508711353464634 \tabularnewline
0.39 & -0.082614033825855 & 0.0516297057989133 \tabularnewline
0.4 & -0.074755480890593 & 0.0520483392137935 \tabularnewline
0.41 & -0.066875952703488 & 0.052132846520345 \tabularnewline
0.42 & -0.0590194641333898 & 0.0519035381065249 \tabularnewline
0.43 & -0.0512270445094899 & 0.0513923084474398 \tabularnewline
0.44 & -0.043535283141809 & 0.0506388789293324 \tabularnewline
0.45 & -0.0359753364570093 & 0.0496867468422439 \tabularnewline
0.46 & -0.0285724141605674 & 0.0485798587371565 \tabularnewline
0.47 & -0.0213457078233688 & 0.0473598435089086 \tabularnewline
0.48 & -0.0143086837700607 & 0.0460640295990053 \tabularnewline
0.49 & -0.00746963657563017 & 0.0447243956253584 \tabularnewline
0.5 & -0.000832390391842879 & 0.0433672327562498 \tabularnewline
0.51 & 0.00560295891253519 & 0.0420133132346797 \tabularnewline
0.52 & 0.0118393501335057 & 0.0406784417916006 \tabularnewline
0.53 & 0.0178821748749115 & 0.0393746521143484 \tabularnewline
0.54 & 0.0237388398532915 & 0.0381113497339244 \tabularnewline
0.55 & 0.0294184739131724 & 0.03689681448322 \tabularnewline
0.56 & 0.0349317512243201 & 0.0357393094383421 \tabularnewline
0.57 & 0.0402907795899977 & 0.0346480000040731 \tabularnewline
0.58 & 0.0455089901962925 & 0.0336331074875217 \tabularnewline
0.59 & 0.0506009649536174 & 0.0327051500284383 \tabularnewline
0.6 & 0.0555821506538382 & 0.0318735936767309 \tabularnewline
0.61 & 0.0604684340647924 & 0.0311448409299557 \tabularnewline
0.62 & 0.0652755848779819 & 0.0305202571229265 \tabularnewline
0.63 & 0.0700186079945023 & 0.0299945971026179 \tabularnewline
0.64 & 0.0747110756113332 & 0.0295555951121368 \tabularnewline
0.65 & 0.0793645258093578 & 0.0291844785038268 \tabularnewline
0.66 & 0.083988012656752 & 0.0288582647002626 \tabularnewline
0.67 & 0.0885878716257725 & 0.0285523104191311 \tabularnewline
0.68 & 0.0931677264876777 & 0.0282435411808750 \tabularnewline
0.69 & 0.097728717870489 & 0.02791307439508 \tabularnewline
0.7 & 0.102269891496214 & 0.0275481138093001 \tabularnewline
0.71 & 0.106788659940293 & 0.0271418329475439 \tabularnewline
0.72 & 0.111281258689636 & 0.026693134488196 \tabularnewline
0.73 & 0.115743163663558 & 0.0262038029051933 \tabularnewline
0.74 & 0.120169523160926 & 0.0256766721904258 \tabularnewline
0.75 & 0.124555771299596 & 0.0251131328279697 \tabularnewline
0.76 & 0.128898709476865 & 0.0245132772724384 \tabularnewline
0.77 & 0.133198434408771 & 0.0238790855204565 \tabularnewline
0.78 & 0.137461518565941 & 0.0232206809828966 \tabularnewline
0.79 & 0.141705778134550 & 0.0225664578723299 \tabularnewline
0.8 & 0.145966777437990 & 0.0219770097917925 \tabularnewline
0.81 & 0.15030592778874 & 0.0215596462558979 \tabularnewline
0.82 & 0.154819692868023 & 0.0214812943703880 \tabularnewline
0.83 & 0.159649104908373 & 0.0219706318294294 \tabularnewline
0.84 & 0.16498865163041 & 0.0232962070314357 \tabularnewline
0.85 & 0.171093736687881 & 0.0257167795000366 \tabularnewline
0.86 & 0.178286404021044 & 0.0294253667036253 \tabularnewline
0.87 & 0.186959753831975 & 0.0345245895644063 \tabularnewline
0.88 & 0.197582138277865 & 0.0410409501596968 \tabularnewline
0.89 & 0.210702234493317 & 0.0489620475910099 \tabularnewline
0.9 & 0.226954712059448 & 0.0582735874279216 \tabularnewline
0.91 & 0.247062640493435 & 0.0689730327363452 \tabularnewline
0.92 & 0.271826027732728 & 0.0810177720573848 \tabularnewline
0.93 & 0.302074215229478 & 0.0941651989029566 \tabularnewline
0.94 & 0.338540723761243 & 0.107728659726362 \tabularnewline
0.95 & 0.381593041656502 & 0.120428112412060 \tabularnewline
0.96 & 0.430734198192564 & 0.130654706970411 \tabularnewline
0.97 & 0.483846589094057 & 0.137362350598439 \tabularnewline
0.98 & 0.536380245100185 & 0.141117222696949 \tabularnewline
0.99 & 0.581173313135531 & 0.143768219759588 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69171&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]-0.574165195500232[/C][C]0.169393283884939[/C][/ROW]
[ROW][C]0.02[/C][C]-0.526878404311194[/C][C]0.149054757333911[/C][/ROW]
[ROW][C]0.03[/C][C]-0.47467441263167[/C][C]0.127157547983207[/C][/ROW]
[ROW][C]0.04[/C][C]-0.425498893454758[/C][C]0.106557590481583[/C][/ROW]
[ROW][C]0.05[/C][C]-0.383409698591586[/C][C]0.0884019527085802[/C][/ROW]
[ROW][C]0.06[/C][C]-0.349344976455784[/C][C]0.0730577212426646[/C][/ROW]
[ROW][C]0.07[/C][C]-0.322515882618451[/C][C]0.060623333693288[/C][/ROW]
[ROW][C]0.08[/C][C]-0.301509592942972[/C][C]0.050989953938191[/C][/ROW]
[ROW][C]0.09[/C][C]-0.284902933031170[/C][C]0.0438278774131149[/C][/ROW]
[ROW][C]0.1[/C][C]-0.271507374106711[/C][C]0.0386678500129164[/C][/ROW]
[ROW][C]0.11[/C][C]-0.260415274998464[/C][C]0.0350273897117421[/C][/ROW]
[ROW][C]0.12[/C][C]-0.250965622456468[/C][C]0.0324935931503946[/C][/ROW]
[ROW][C]0.13[/C][C]-0.242689613335624[/C][C]0.0307426918190485[/C][/ROW]
[ROW][C]0.14[/C][C]-0.235259878829169[/C][C]0.0295297568880818[/C][/ROW]
[ROW][C]0.15[/C][C]-0.228449763922844[/C][C]0.0286735064914608[/C][/ROW]
[ROW][C]0.16[/C][C]-0.222102539577299[/C][C]0.0280492548256217[/C][/ROW]
[ROW][C]0.17[/C][C]-0.216108682748438[/C][C]0.0275822911450325[/C][/ROW]
[ROW][C]0.18[/C][C]-0.21038933662886[/C][C]0.0272395528533317[/C][/ROW]
[ROW][C]0.19[/C][C]-0.204884482863384[/C][C]0.0270186042521046[/C][/ROW]
[ROW][C]0.2[/C][C]-0.199544760852822[/C][C]0.0269363833948844[/C][/ROW]
[ROW][C]0.21[/C][C]-0.194326134718771[/C][C]0.0270172456328272[/C][/ROW]
[ROW][C]0.22[/C][C]-0.189186750130238[/C][C]0.0272855537829023[/C][/ROW]
[ROW][C]0.23[/C][C]-0.184085400452254[/C][C]0.0277594321680091[/C][/ROW]
[ROW][C]0.24[/C][C]-0.178981090729470[/C][C]0.0284489502954403[/C][/ROW]
[ROW][C]0.25[/C][C]-0.173833278931037[/C][C]0.0293574035194435[/C][/ROW]
[ROW][C]0.26[/C][C]-0.168602487961188[/C][C]0.0304819757410064[/C][/ROW]
[ROW][C]0.27[/C][C]-0.163251101321604[/C][C]0.0318153465936971[/C][/ROW]
[ROW][C]0.28[/C][C]-0.157744256333016[/C][C]0.0333451318866815[/C][/ROW]
[ROW][C]0.29[/C][C]-0.152050813101556[/C][C]0.0350522775885489[/C][/ROW]
[ROW][C]0.3[/C][C]-0.146144397950771[/C][C]0.0369093514341353[/C][/ROW]
[ROW][C]0.31[/C][C]-0.140004502207462[/C][C]0.0388782642174072[/C][/ROW]
[ROW][C]0.32[/C][C]-0.13361757590133[/C][C]0.0409095761223074[/C][/ROW]
[ROW][C]0.33[/C][C]-0.126978010469539[/C][C]0.0429442377815126[/C][/ROW]
[ROW][C]0.34[/C][C]-0.120088873313741[/C][C]0.0449156340704299[/C][/ROW]
[ROW][C]0.35[/C][C]-0.112962252877050[/C][C]0.0467553310045719[/C][/ROW]
[ROW][C]0.36[/C][C]-0.105619100428557[/C][C]0.0483973356943069[/C][/ROW]
[ROW][C]0.37[/C][C]-0.0980885099874264[/C][C]0.0497841501638964[/C][/ROW]
[ROW][C]0.38[/C][C]-0.0904064498952318[/C][C]0.0508711353464634[/C][/ROW]
[ROW][C]0.39[/C][C]-0.082614033825855[/C][C]0.0516297057989133[/C][/ROW]
[ROW][C]0.4[/C][C]-0.074755480890593[/C][C]0.0520483392137935[/C][/ROW]
[ROW][C]0.41[/C][C]-0.066875952703488[/C][C]0.052132846520345[/C][/ROW]
[ROW][C]0.42[/C][C]-0.0590194641333898[/C][C]0.0519035381065249[/C][/ROW]
[ROW][C]0.43[/C][C]-0.0512270445094899[/C][C]0.0513923084474398[/C][/ROW]
[ROW][C]0.44[/C][C]-0.043535283141809[/C][C]0.0506388789293324[/C][/ROW]
[ROW][C]0.45[/C][C]-0.0359753364570093[/C][C]0.0496867468422439[/C][/ROW]
[ROW][C]0.46[/C][C]-0.0285724141605674[/C][C]0.0485798587371565[/C][/ROW]
[ROW][C]0.47[/C][C]-0.0213457078233688[/C][C]0.0473598435089086[/C][/ROW]
[ROW][C]0.48[/C][C]-0.0143086837700607[/C][C]0.0460640295990053[/C][/ROW]
[ROW][C]0.49[/C][C]-0.00746963657563017[/C][C]0.0447243956253584[/C][/ROW]
[ROW][C]0.5[/C][C]-0.000832390391842879[/C][C]0.0433672327562498[/C][/ROW]
[ROW][C]0.51[/C][C]0.00560295891253519[/C][C]0.0420133132346797[/C][/ROW]
[ROW][C]0.52[/C][C]0.0118393501335057[/C][C]0.0406784417916006[/C][/ROW]
[ROW][C]0.53[/C][C]0.0178821748749115[/C][C]0.0393746521143484[/C][/ROW]
[ROW][C]0.54[/C][C]0.0237388398532915[/C][C]0.0381113497339244[/C][/ROW]
[ROW][C]0.55[/C][C]0.0294184739131724[/C][C]0.03689681448322[/C][/ROW]
[ROW][C]0.56[/C][C]0.0349317512243201[/C][C]0.0357393094383421[/C][/ROW]
[ROW][C]0.57[/C][C]0.0402907795899977[/C][C]0.0346480000040731[/C][/ROW]
[ROW][C]0.58[/C][C]0.0455089901962925[/C][C]0.0336331074875217[/C][/ROW]
[ROW][C]0.59[/C][C]0.0506009649536174[/C][C]0.0327051500284383[/C][/ROW]
[ROW][C]0.6[/C][C]0.0555821506538382[/C][C]0.0318735936767309[/C][/ROW]
[ROW][C]0.61[/C][C]0.0604684340647924[/C][C]0.0311448409299557[/C][/ROW]
[ROW][C]0.62[/C][C]0.0652755848779819[/C][C]0.0305202571229265[/C][/ROW]
[ROW][C]0.63[/C][C]0.0700186079945023[/C][C]0.0299945971026179[/C][/ROW]
[ROW][C]0.64[/C][C]0.0747110756113332[/C][C]0.0295555951121368[/C][/ROW]
[ROW][C]0.65[/C][C]0.0793645258093578[/C][C]0.0291844785038268[/C][/ROW]
[ROW][C]0.66[/C][C]0.083988012656752[/C][C]0.0288582647002626[/C][/ROW]
[ROW][C]0.67[/C][C]0.0885878716257725[/C][C]0.0285523104191311[/C][/ROW]
[ROW][C]0.68[/C][C]0.0931677264876777[/C][C]0.0282435411808750[/C][/ROW]
[ROW][C]0.69[/C][C]0.097728717870489[/C][C]0.02791307439508[/C][/ROW]
[ROW][C]0.7[/C][C]0.102269891496214[/C][C]0.0275481138093001[/C][/ROW]
[ROW][C]0.71[/C][C]0.106788659940293[/C][C]0.0271418329475439[/C][/ROW]
[ROW][C]0.72[/C][C]0.111281258689636[/C][C]0.026693134488196[/C][/ROW]
[ROW][C]0.73[/C][C]0.115743163663558[/C][C]0.0262038029051933[/C][/ROW]
[ROW][C]0.74[/C][C]0.120169523160926[/C][C]0.0256766721904258[/C][/ROW]
[ROW][C]0.75[/C][C]0.124555771299596[/C][C]0.0251131328279697[/C][/ROW]
[ROW][C]0.76[/C][C]0.128898709476865[/C][C]0.0245132772724384[/C][/ROW]
[ROW][C]0.77[/C][C]0.133198434408771[/C][C]0.0238790855204565[/C][/ROW]
[ROW][C]0.78[/C][C]0.137461518565941[/C][C]0.0232206809828966[/C][/ROW]
[ROW][C]0.79[/C][C]0.141705778134550[/C][C]0.0225664578723299[/C][/ROW]
[ROW][C]0.8[/C][C]0.145966777437990[/C][C]0.0219770097917925[/C][/ROW]
[ROW][C]0.81[/C][C]0.15030592778874[/C][C]0.0215596462558979[/C][/ROW]
[ROW][C]0.82[/C][C]0.154819692868023[/C][C]0.0214812943703880[/C][/ROW]
[ROW][C]0.83[/C][C]0.159649104908373[/C][C]0.0219706318294294[/C][/ROW]
[ROW][C]0.84[/C][C]0.16498865163041[/C][C]0.0232962070314357[/C][/ROW]
[ROW][C]0.85[/C][C]0.171093736687881[/C][C]0.0257167795000366[/C][/ROW]
[ROW][C]0.86[/C][C]0.178286404021044[/C][C]0.0294253667036253[/C][/ROW]
[ROW][C]0.87[/C][C]0.186959753831975[/C][C]0.0345245895644063[/C][/ROW]
[ROW][C]0.88[/C][C]0.197582138277865[/C][C]0.0410409501596968[/C][/ROW]
[ROW][C]0.89[/C][C]0.210702234493317[/C][C]0.0489620475910099[/C][/ROW]
[ROW][C]0.9[/C][C]0.226954712059448[/C][C]0.0582735874279216[/C][/ROW]
[ROW][C]0.91[/C][C]0.247062640493435[/C][C]0.0689730327363452[/C][/ROW]
[ROW][C]0.92[/C][C]0.271826027732728[/C][C]0.0810177720573848[/C][/ROW]
[ROW][C]0.93[/C][C]0.302074215229478[/C][C]0.0941651989029566[/C][/ROW]
[ROW][C]0.94[/C][C]0.338540723761243[/C][C]0.107728659726362[/C][/ROW]
[ROW][C]0.95[/C][C]0.381593041656502[/C][C]0.120428112412060[/C][/ROW]
[ROW][C]0.96[/C][C]0.430734198192564[/C][C]0.130654706970411[/C][/ROW]
[ROW][C]0.97[/C][C]0.483846589094057[/C][C]0.137362350598439[/C][/ROW]
[ROW][C]0.98[/C][C]0.536380245100185[/C][C]0.141117222696949[/C][/ROW]
[ROW][C]0.99[/C][C]0.581173313135531[/C][C]0.143768219759588[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69171&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69171&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
0.01-0.5741651955002320.169393283884939
0.02-0.5268784043111940.149054757333911
0.03-0.474674412631670.127157547983207
0.04-0.4254988934547580.106557590481583
0.05-0.3834096985915860.0884019527085802
0.06-0.3493449764557840.0730577212426646
0.07-0.3225158826184510.060623333693288
0.08-0.3015095929429720.050989953938191
0.09-0.2849029330311700.0438278774131149
0.1-0.2715073741067110.0386678500129164
0.11-0.2604152749984640.0350273897117421
0.12-0.2509656224564680.0324935931503946
0.13-0.2426896133356240.0307426918190485
0.14-0.2352598788291690.0295297568880818
0.15-0.2284497639228440.0286735064914608
0.16-0.2221025395772990.0280492548256217
0.17-0.2161086827484380.0275822911450325
0.18-0.210389336628860.0272395528533317
0.19-0.2048844828633840.0270186042521046
0.2-0.1995447608528220.0269363833948844
0.21-0.1943261347187710.0270172456328272
0.22-0.1891867501302380.0272855537829023
0.23-0.1840854004522540.0277594321680091
0.24-0.1789810907294700.0284489502954403
0.25-0.1738332789310370.0293574035194435
0.26-0.1686024879611880.0304819757410064
0.27-0.1632511013216040.0318153465936971
0.28-0.1577442563330160.0333451318866815
0.29-0.1520508131015560.0350522775885489
0.3-0.1461443979507710.0369093514341353
0.31-0.1400045022074620.0388782642174072
0.32-0.133617575901330.0409095761223074
0.33-0.1269780104695390.0429442377815126
0.34-0.1200888733137410.0449156340704299
0.35-0.1129622528770500.0467553310045719
0.36-0.1056191004285570.0483973356943069
0.37-0.09808850998742640.0497841501638964
0.38-0.09040644989523180.0508711353464634
0.39-0.0826140338258550.0516297057989133
0.4-0.0747554808905930.0520483392137935
0.41-0.0668759527034880.052132846520345
0.42-0.05901946413338980.0519035381065249
0.43-0.05122704450948990.0513923084474398
0.44-0.0435352831418090.0506388789293324
0.45-0.03597533645700930.0496867468422439
0.46-0.02857241416056740.0485798587371565
0.47-0.02134570782336880.0473598435089086
0.48-0.01430868377006070.0460640295990053
0.49-0.007469636575630170.0447243956253584
0.5-0.0008323903918428790.0433672327562498
0.510.005602958912535190.0420133132346797
0.520.01183935013350570.0406784417916006
0.530.01788217487491150.0393746521143484
0.540.02373883985329150.0381113497339244
0.550.02941847391317240.03689681448322
0.560.03493175122432010.0357393094383421
0.570.04029077958999770.0346480000040731
0.580.04550899019629250.0336331074875217
0.590.05060096495361740.0327051500284383
0.60.05558215065383820.0318735936767309
0.610.06046843406479240.0311448409299557
0.620.06527558487798190.0305202571229265
0.630.07001860799450230.0299945971026179
0.640.07471107561133320.0295555951121368
0.650.07936452580935780.0291844785038268
0.660.0839880126567520.0288582647002626
0.670.08858787162577250.0285523104191311
0.680.09316772648767770.0282435411808750
0.690.0977287178704890.02791307439508
0.70.1022698914962140.0275481138093001
0.710.1067886599402930.0271418329475439
0.720.1112812586896360.026693134488196
0.730.1157431636635580.0262038029051933
0.740.1201695231609260.0256766721904258
0.750.1245557712995960.0251131328279697
0.760.1288987094768650.0245132772724384
0.770.1331984344087710.0238790855204565
0.780.1374615185659410.0232206809828966
0.790.1417057781345500.0225664578723299
0.80.1459667774379900.0219770097917925
0.810.150305927788740.0215596462558979
0.820.1548196928680230.0214812943703880
0.830.1596491049083730.0219706318294294
0.840.164988651630410.0232962070314357
0.850.1710937366878810.0257167795000366
0.860.1782864040210440.0294253667036253
0.870.1869597538319750.0345245895644063
0.880.1975821382778650.0410409501596968
0.890.2107022344933170.0489620475910099
0.90.2269547120594480.0582735874279216
0.910.2470626404934350.0689730327363452
0.920.2718260277327280.0810177720573848
0.930.3020742152294780.0941651989029566
0.940.3385407237612430.107728659726362
0.950.3815930416565020.120428112412060
0.960.4307341981925640.130654706970411
0.970.4838465890940570.137362350598439
0.980.5363802451001850.141117222696949
0.990.5811733131355310.143768219759588


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')