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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, 08 Mar 2009 10:52:37 -0600
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/Mar/08/t1236531205gakzql62ic4ckym.htm/, Retrieved Sun, 28 Apr 2024 17:40:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38701, Retrieved Sun, 28 Apr 2024 17:40:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact143

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] [Koers $] [2009-03-08 16:52:37] [52abb83916effba29fe89a1e0cad1e5e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.0014
1.0183
1.0622
1.0773
1.0807
1.0848
1.1582
1.1663
1.1372
1.1139
1.1222
1.1692
1.1702
1.2286
1.2613
1.2646
1.2262
1.1985
1.2007
1.2138
1.2266
1.2176
1.2218
1.2490
1.2991
1.3408
1.3119
1.3014
1.3201
1.2938
1.2694
1.2165
1.2037
1.2292
1.2256
1.2015
1.1786
1.1856
1.2103
1.1938
1.2020
1.2271
1.2770
1.2650
1.2684
1.2811
1.2727
1.2611
1.2881
1.3213
1.2999
1.3074
1.3242
1.3516
1.3511
1.3419
1.3716
1.3622
1.3896
1.4227
1.4684
1.4570
1.4718
1.4748
1.5527
1.5751
1.5557
1.5553
1.5770
1.4975
1.4370
1.3322

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 Ronald Aylmer Fisher' @ 193.190.124.24

\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 Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38701&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 Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38701&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38701&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 Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.009515263510830.0222399121826930
0.021.023491416896310.0285048628318256
0.031.039535011721630.0299877594384399
0.041.054744015440690.0276368108779171
0.051.067955524546440.0249871518058546
0.061.079300758227210.0242854095352173
0.071.089453433646440.0255020640647128
0.081.099059419690370.0274714030486567
0.091.108481787317140.0291550046981174
0.11.117791507664580.0300002119782887
0.111.126873100993170.0298580150183201
0.121.135544180476760.0288455108868803
0.131.143640990196840.0272104181792006
0.141.151061019574250.0252413171952804
0.151.157771845721630.0232039693720592
0.161.163799499307500.0213002202890589
0.171.169207821303670.0196361176928505
0.181.174077037470830.018234563982388
0.191.178486687266260.0170490258840435
0.21.182505316361730.0160062568520235
0.211.186187014855440.0150469498216204
0.221.189573171282500.0141380548690099
0.231.192696957310620.0132783006143452
0.241.195588103099150.0124943140860294
0.251.198276247458320.0118174959714808
0.261.200792165295550.0112737177070033
0.271.203167104357820.0108689237713418
0.281.205431050854680.0105952584011449
0.291.207610911103280.0104240177187569
0.31.209729412112690.0103294921543651
0.311.211805135898080.0102898889139862
0.321.213853669717320.0102921515773899
0.331.215889501480960.0103460989645434
0.341.217928085855760.0104726820496342
0.351.219987469881860.0107024673407600
0.361.222088977702390.0110650268361933
0.371.224256671350020.0115836203540420
0.381.226515578092160.0122598856090854
0.391.228888951695800.0130759508777646
0.41.231395063937900.0139819535434721
0.411.234044159077330.0149186265172690
0.421.236836216590770.0158078805671110
0.431.239760046463920.0165799859533363
0.441.242794004200030.0171720438061447
0.451.245908304278580.0175447863833098
0.461.24906859554010.0176847627422328
0.471.252240209513980.0176063137894653
0.481.255392360320580.0173489896610055
0.491.258501592248150.01697040656737
0.51.261553932769190.0165411354857582
0.511.264545475274710.0161275942065440
0.521.267481424917640.0157831055745314
0.531.270373923823560.0155469180369699
0.541.273239170052520.0154252773046325
0.551.276094422916720.0154123438147941
0.561.278955439823130.0154806473472827
0.571.281834738897830.0155977570442802
0.581.284740869654240.0157337491887487
0.591.287678652140240.0158657532734232
0.61.290650161405880.0159786328034965
0.611.293656123588470.0160751276328107
0.621.296697367806510.0161594841698777
0.631.299776039094350.0162472489466631
0.641.302896399347290.0163539519911720
0.651.306065193204580.0164921517622965
0.661.309291699922850.0166737977904817
0.671.312587702103030.0169072988833264
0.681.315967658319800.0171982846317989
0.691.319449358517720.0175566615524084
0.71.323055262884990.0179987276440422
0.711.326814573421770.0185507182528896
0.721.330765862715420.0192563967658683
0.731.334959797784960.0201710439592309
0.741.339461183226910.0213678160584454
0.751.344349277786140.0229142912640131
0.761.349715220360960.0248667676124946
0.771.355655566382490.0272374032591654
0.781.362261500152010.0299724556908656
0.791.369604301399090.0329428946196121
0.81.377719027722680.0359345886718348
0.811.38658988395930.0386750021912949
0.821.396141963075410.0408645957611246
0.831.406244393070150.0422362610824174
0.841.416728773368620.0426229143617946
0.851.427423568719370.0420230981886289
0.861.438199628114690.0406506123864376
0.871.449014811855870.0389384763237242
0.881.459938941078510.037474248883047
0.891.471138052874390.0368075090486194
0.91.482804840509540.0371302470974971
0.911.495044276778370.0380014139022233
0.921.507756410163940.0383907179918056
0.931.520584962562030.0371283081743494
0.941.532990386235060.0335488700722329
0.951.544435362985080.0280089579182792
0.961.554561219217850.0218518254971258
0.971.563184013910860.0164281084859917
0.981.57007552069580.0115591826731545
0.991.574797164251890.00616944059430339

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.00951526351083 & 0.0222399121826930 \tabularnewline
0.02 & 1.02349141689631 & 0.0285048628318256 \tabularnewline
0.03 & 1.03953501172163 & 0.0299877594384399 \tabularnewline
0.04 & 1.05474401544069 & 0.0276368108779171 \tabularnewline
0.05 & 1.06795552454644 & 0.0249871518058546 \tabularnewline
0.06 & 1.07930075822721 & 0.0242854095352173 \tabularnewline
0.07 & 1.08945343364644 & 0.0255020640647128 \tabularnewline
0.08 & 1.09905941969037 & 0.0274714030486567 \tabularnewline
0.09 & 1.10848178731714 & 0.0291550046981174 \tabularnewline
0.1 & 1.11779150766458 & 0.0300002119782887 \tabularnewline
0.11 & 1.12687310099317 & 0.0298580150183201 \tabularnewline
0.12 & 1.13554418047676 & 0.0288455108868803 \tabularnewline
0.13 & 1.14364099019684 & 0.0272104181792006 \tabularnewline
0.14 & 1.15106101957425 & 0.0252413171952804 \tabularnewline
0.15 & 1.15777184572163 & 0.0232039693720592 \tabularnewline
0.16 & 1.16379949930750 & 0.0213002202890589 \tabularnewline
0.17 & 1.16920782130367 & 0.0196361176928505 \tabularnewline
0.18 & 1.17407703747083 & 0.018234563982388 \tabularnewline
0.19 & 1.17848668726626 & 0.0170490258840435 \tabularnewline
0.2 & 1.18250531636173 & 0.0160062568520235 \tabularnewline
0.21 & 1.18618701485544 & 0.0150469498216204 \tabularnewline
0.22 & 1.18957317128250 & 0.0141380548690099 \tabularnewline
0.23 & 1.19269695731062 & 0.0132783006143452 \tabularnewline
0.24 & 1.19558810309915 & 0.0124943140860294 \tabularnewline
0.25 & 1.19827624745832 & 0.0118174959714808 \tabularnewline
0.26 & 1.20079216529555 & 0.0112737177070033 \tabularnewline
0.27 & 1.20316710435782 & 0.0108689237713418 \tabularnewline
0.28 & 1.20543105085468 & 0.0105952584011449 \tabularnewline
0.29 & 1.20761091110328 & 0.0104240177187569 \tabularnewline
0.3 & 1.20972941211269 & 0.0103294921543651 \tabularnewline
0.31 & 1.21180513589808 & 0.0102898889139862 \tabularnewline
0.32 & 1.21385366971732 & 0.0102921515773899 \tabularnewline
0.33 & 1.21588950148096 & 0.0103460989645434 \tabularnewline
0.34 & 1.21792808585576 & 0.0104726820496342 \tabularnewline
0.35 & 1.21998746988186 & 0.0107024673407600 \tabularnewline
0.36 & 1.22208897770239 & 0.0110650268361933 \tabularnewline
0.37 & 1.22425667135002 & 0.0115836203540420 \tabularnewline
0.38 & 1.22651557809216 & 0.0122598856090854 \tabularnewline
0.39 & 1.22888895169580 & 0.0130759508777646 \tabularnewline
0.4 & 1.23139506393790 & 0.0139819535434721 \tabularnewline
0.41 & 1.23404415907733 & 0.0149186265172690 \tabularnewline
0.42 & 1.23683621659077 & 0.0158078805671110 \tabularnewline
0.43 & 1.23976004646392 & 0.0165799859533363 \tabularnewline
0.44 & 1.24279400420003 & 0.0171720438061447 \tabularnewline
0.45 & 1.24590830427858 & 0.0175447863833098 \tabularnewline
0.46 & 1.2490685955401 & 0.0176847627422328 \tabularnewline
0.47 & 1.25224020951398 & 0.0176063137894653 \tabularnewline
0.48 & 1.25539236032058 & 0.0173489896610055 \tabularnewline
0.49 & 1.25850159224815 & 0.01697040656737 \tabularnewline
0.5 & 1.26155393276919 & 0.0165411354857582 \tabularnewline
0.51 & 1.26454547527471 & 0.0161275942065440 \tabularnewline
0.52 & 1.26748142491764 & 0.0157831055745314 \tabularnewline
0.53 & 1.27037392382356 & 0.0155469180369699 \tabularnewline
0.54 & 1.27323917005252 & 0.0154252773046325 \tabularnewline
0.55 & 1.27609442291672 & 0.0154123438147941 \tabularnewline
0.56 & 1.27895543982313 & 0.0154806473472827 \tabularnewline
0.57 & 1.28183473889783 & 0.0155977570442802 \tabularnewline
0.58 & 1.28474086965424 & 0.0157337491887487 \tabularnewline
0.59 & 1.28767865214024 & 0.0158657532734232 \tabularnewline
0.6 & 1.29065016140588 & 0.0159786328034965 \tabularnewline
0.61 & 1.29365612358847 & 0.0160751276328107 \tabularnewline
0.62 & 1.29669736780651 & 0.0161594841698777 \tabularnewline
0.63 & 1.29977603909435 & 0.0162472489466631 \tabularnewline
0.64 & 1.30289639934729 & 0.0163539519911720 \tabularnewline
0.65 & 1.30606519320458 & 0.0164921517622965 \tabularnewline
0.66 & 1.30929169992285 & 0.0166737977904817 \tabularnewline
0.67 & 1.31258770210303 & 0.0169072988833264 \tabularnewline
0.68 & 1.31596765831980 & 0.0171982846317989 \tabularnewline
0.69 & 1.31944935851772 & 0.0175566615524084 \tabularnewline
0.7 & 1.32305526288499 & 0.0179987276440422 \tabularnewline
0.71 & 1.32681457342177 & 0.0185507182528896 \tabularnewline
0.72 & 1.33076586271542 & 0.0192563967658683 \tabularnewline
0.73 & 1.33495979778496 & 0.0201710439592309 \tabularnewline
0.74 & 1.33946118322691 & 0.0213678160584454 \tabularnewline
0.75 & 1.34434927778614 & 0.0229142912640131 \tabularnewline
0.76 & 1.34971522036096 & 0.0248667676124946 \tabularnewline
0.77 & 1.35565556638249 & 0.0272374032591654 \tabularnewline
0.78 & 1.36226150015201 & 0.0299724556908656 \tabularnewline
0.79 & 1.36960430139909 & 0.0329428946196121 \tabularnewline
0.8 & 1.37771902772268 & 0.0359345886718348 \tabularnewline
0.81 & 1.3865898839593 & 0.0386750021912949 \tabularnewline
0.82 & 1.39614196307541 & 0.0408645957611246 \tabularnewline
0.83 & 1.40624439307015 & 0.0422362610824174 \tabularnewline
0.84 & 1.41672877336862 & 0.0426229143617946 \tabularnewline
0.85 & 1.42742356871937 & 0.0420230981886289 \tabularnewline
0.86 & 1.43819962811469 & 0.0406506123864376 \tabularnewline
0.87 & 1.44901481185587 & 0.0389384763237242 \tabularnewline
0.88 & 1.45993894107851 & 0.037474248883047 \tabularnewline
0.89 & 1.47113805287439 & 0.0368075090486194 \tabularnewline
0.9 & 1.48280484050954 & 0.0371302470974971 \tabularnewline
0.91 & 1.49504427677837 & 0.0380014139022233 \tabularnewline
0.92 & 1.50775641016394 & 0.0383907179918056 \tabularnewline
0.93 & 1.52058496256203 & 0.0371283081743494 \tabularnewline
0.94 & 1.53299038623506 & 0.0335488700722329 \tabularnewline
0.95 & 1.54443536298508 & 0.0280089579182792 \tabularnewline
0.96 & 1.55456121921785 & 0.0218518254971258 \tabularnewline
0.97 & 1.56318401391086 & 0.0164281084859917 \tabularnewline
0.98 & 1.5700755206958 & 0.0115591826731545 \tabularnewline
0.99 & 1.57479716425189 & 0.00616944059430339 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38701&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]1.00951526351083[/C][C]0.0222399121826930[/C][/ROW]
[ROW][C]0.02[/C][C]1.02349141689631[/C][C]0.0285048628318256[/C][/ROW]
[ROW][C]0.03[/C][C]1.03953501172163[/C][C]0.0299877594384399[/C][/ROW]
[ROW][C]0.04[/C][C]1.05474401544069[/C][C]0.0276368108779171[/C][/ROW]
[ROW][C]0.05[/C][C]1.06795552454644[/C][C]0.0249871518058546[/C][/ROW]
[ROW][C]0.06[/C][C]1.07930075822721[/C][C]0.0242854095352173[/C][/ROW]
[ROW][C]0.07[/C][C]1.08945343364644[/C][C]0.0255020640647128[/C][/ROW]
[ROW][C]0.08[/C][C]1.09905941969037[/C][C]0.0274714030486567[/C][/ROW]
[ROW][C]0.09[/C][C]1.10848178731714[/C][C]0.0291550046981174[/C][/ROW]
[ROW][C]0.1[/C][C]1.11779150766458[/C][C]0.0300002119782887[/C][/ROW]
[ROW][C]0.11[/C][C]1.12687310099317[/C][C]0.0298580150183201[/C][/ROW]
[ROW][C]0.12[/C][C]1.13554418047676[/C][C]0.0288455108868803[/C][/ROW]
[ROW][C]0.13[/C][C]1.14364099019684[/C][C]0.0272104181792006[/C][/ROW]
[ROW][C]0.14[/C][C]1.15106101957425[/C][C]0.0252413171952804[/C][/ROW]
[ROW][C]0.15[/C][C]1.15777184572163[/C][C]0.0232039693720592[/C][/ROW]
[ROW][C]0.16[/C][C]1.16379949930750[/C][C]0.0213002202890589[/C][/ROW]
[ROW][C]0.17[/C][C]1.16920782130367[/C][C]0.0196361176928505[/C][/ROW]
[ROW][C]0.18[/C][C]1.17407703747083[/C][C]0.018234563982388[/C][/ROW]
[ROW][C]0.19[/C][C]1.17848668726626[/C][C]0.0170490258840435[/C][/ROW]
[ROW][C]0.2[/C][C]1.18250531636173[/C][C]0.0160062568520235[/C][/ROW]
[ROW][C]0.21[/C][C]1.18618701485544[/C][C]0.0150469498216204[/C][/ROW]
[ROW][C]0.22[/C][C]1.18957317128250[/C][C]0.0141380548690099[/C][/ROW]
[ROW][C]0.23[/C][C]1.19269695731062[/C][C]0.0132783006143452[/C][/ROW]
[ROW][C]0.24[/C][C]1.19558810309915[/C][C]0.0124943140860294[/C][/ROW]
[ROW][C]0.25[/C][C]1.19827624745832[/C][C]0.0118174959714808[/C][/ROW]
[ROW][C]0.26[/C][C]1.20079216529555[/C][C]0.0112737177070033[/C][/ROW]
[ROW][C]0.27[/C][C]1.20316710435782[/C][C]0.0108689237713418[/C][/ROW]
[ROW][C]0.28[/C][C]1.20543105085468[/C][C]0.0105952584011449[/C][/ROW]
[ROW][C]0.29[/C][C]1.20761091110328[/C][C]0.0104240177187569[/C][/ROW]
[ROW][C]0.3[/C][C]1.20972941211269[/C][C]0.0103294921543651[/C][/ROW]
[ROW][C]0.31[/C][C]1.21180513589808[/C][C]0.0102898889139862[/C][/ROW]
[ROW][C]0.32[/C][C]1.21385366971732[/C][C]0.0102921515773899[/C][/ROW]
[ROW][C]0.33[/C][C]1.21588950148096[/C][C]0.0103460989645434[/C][/ROW]
[ROW][C]0.34[/C][C]1.21792808585576[/C][C]0.0104726820496342[/C][/ROW]
[ROW][C]0.35[/C][C]1.21998746988186[/C][C]0.0107024673407600[/C][/ROW]
[ROW][C]0.36[/C][C]1.22208897770239[/C][C]0.0110650268361933[/C][/ROW]
[ROW][C]0.37[/C][C]1.22425667135002[/C][C]0.0115836203540420[/C][/ROW]
[ROW][C]0.38[/C][C]1.22651557809216[/C][C]0.0122598856090854[/C][/ROW]
[ROW][C]0.39[/C][C]1.22888895169580[/C][C]0.0130759508777646[/C][/ROW]
[ROW][C]0.4[/C][C]1.23139506393790[/C][C]0.0139819535434721[/C][/ROW]
[ROW][C]0.41[/C][C]1.23404415907733[/C][C]0.0149186265172690[/C][/ROW]
[ROW][C]0.42[/C][C]1.23683621659077[/C][C]0.0158078805671110[/C][/ROW]
[ROW][C]0.43[/C][C]1.23976004646392[/C][C]0.0165799859533363[/C][/ROW]
[ROW][C]0.44[/C][C]1.24279400420003[/C][C]0.0171720438061447[/C][/ROW]
[ROW][C]0.45[/C][C]1.24590830427858[/C][C]0.0175447863833098[/C][/ROW]
[ROW][C]0.46[/C][C]1.2490685955401[/C][C]0.0176847627422328[/C][/ROW]
[ROW][C]0.47[/C][C]1.25224020951398[/C][C]0.0176063137894653[/C][/ROW]
[ROW][C]0.48[/C][C]1.25539236032058[/C][C]0.0173489896610055[/C][/ROW]
[ROW][C]0.49[/C][C]1.25850159224815[/C][C]0.01697040656737[/C][/ROW]
[ROW][C]0.5[/C][C]1.26155393276919[/C][C]0.0165411354857582[/C][/ROW]
[ROW][C]0.51[/C][C]1.26454547527471[/C][C]0.0161275942065440[/C][/ROW]
[ROW][C]0.52[/C][C]1.26748142491764[/C][C]0.0157831055745314[/C][/ROW]
[ROW][C]0.53[/C][C]1.27037392382356[/C][C]0.0155469180369699[/C][/ROW]
[ROW][C]0.54[/C][C]1.27323917005252[/C][C]0.0154252773046325[/C][/ROW]
[ROW][C]0.55[/C][C]1.27609442291672[/C][C]0.0154123438147941[/C][/ROW]
[ROW][C]0.56[/C][C]1.27895543982313[/C][C]0.0154806473472827[/C][/ROW]
[ROW][C]0.57[/C][C]1.28183473889783[/C][C]0.0155977570442802[/C][/ROW]
[ROW][C]0.58[/C][C]1.28474086965424[/C][C]0.0157337491887487[/C][/ROW]
[ROW][C]0.59[/C][C]1.28767865214024[/C][C]0.0158657532734232[/C][/ROW]
[ROW][C]0.6[/C][C]1.29065016140588[/C][C]0.0159786328034965[/C][/ROW]
[ROW][C]0.61[/C][C]1.29365612358847[/C][C]0.0160751276328107[/C][/ROW]
[ROW][C]0.62[/C][C]1.29669736780651[/C][C]0.0161594841698777[/C][/ROW]
[ROW][C]0.63[/C][C]1.29977603909435[/C][C]0.0162472489466631[/C][/ROW]
[ROW][C]0.64[/C][C]1.30289639934729[/C][C]0.0163539519911720[/C][/ROW]
[ROW][C]0.65[/C][C]1.30606519320458[/C][C]0.0164921517622965[/C][/ROW]
[ROW][C]0.66[/C][C]1.30929169992285[/C][C]0.0166737977904817[/C][/ROW]
[ROW][C]0.67[/C][C]1.31258770210303[/C][C]0.0169072988833264[/C][/ROW]
[ROW][C]0.68[/C][C]1.31596765831980[/C][C]0.0171982846317989[/C][/ROW]
[ROW][C]0.69[/C][C]1.31944935851772[/C][C]0.0175566615524084[/C][/ROW]
[ROW][C]0.7[/C][C]1.32305526288499[/C][C]0.0179987276440422[/C][/ROW]
[ROW][C]0.71[/C][C]1.32681457342177[/C][C]0.0185507182528896[/C][/ROW]
[ROW][C]0.72[/C][C]1.33076586271542[/C][C]0.0192563967658683[/C][/ROW]
[ROW][C]0.73[/C][C]1.33495979778496[/C][C]0.0201710439592309[/C][/ROW]
[ROW][C]0.74[/C][C]1.33946118322691[/C][C]0.0213678160584454[/C][/ROW]
[ROW][C]0.75[/C][C]1.34434927778614[/C][C]0.0229142912640131[/C][/ROW]
[ROW][C]0.76[/C][C]1.34971522036096[/C][C]0.0248667676124946[/C][/ROW]
[ROW][C]0.77[/C][C]1.35565556638249[/C][C]0.0272374032591654[/C][/ROW]
[ROW][C]0.78[/C][C]1.36226150015201[/C][C]0.0299724556908656[/C][/ROW]
[ROW][C]0.79[/C][C]1.36960430139909[/C][C]0.0329428946196121[/C][/ROW]
[ROW][C]0.8[/C][C]1.37771902772268[/C][C]0.0359345886718348[/C][/ROW]
[ROW][C]0.81[/C][C]1.3865898839593[/C][C]0.0386750021912949[/C][/ROW]
[ROW][C]0.82[/C][C]1.39614196307541[/C][C]0.0408645957611246[/C][/ROW]
[ROW][C]0.83[/C][C]1.40624439307015[/C][C]0.0422362610824174[/C][/ROW]
[ROW][C]0.84[/C][C]1.41672877336862[/C][C]0.0426229143617946[/C][/ROW]
[ROW][C]0.85[/C][C]1.42742356871937[/C][C]0.0420230981886289[/C][/ROW]
[ROW][C]0.86[/C][C]1.43819962811469[/C][C]0.0406506123864376[/C][/ROW]
[ROW][C]0.87[/C][C]1.44901481185587[/C][C]0.0389384763237242[/C][/ROW]
[ROW][C]0.88[/C][C]1.45993894107851[/C][C]0.037474248883047[/C][/ROW]
[ROW][C]0.89[/C][C]1.47113805287439[/C][C]0.0368075090486194[/C][/ROW]
[ROW][C]0.9[/C][C]1.48280484050954[/C][C]0.0371302470974971[/C][/ROW]
[ROW][C]0.91[/C][C]1.49504427677837[/C][C]0.0380014139022233[/C][/ROW]
[ROW][C]0.92[/C][C]1.50775641016394[/C][C]0.0383907179918056[/C][/ROW]
[ROW][C]0.93[/C][C]1.52058496256203[/C][C]0.0371283081743494[/C][/ROW]
[ROW][C]0.94[/C][C]1.53299038623506[/C][C]0.0335488700722329[/C][/ROW]
[ROW][C]0.95[/C][C]1.54443536298508[/C][C]0.0280089579182792[/C][/ROW]
[ROW][C]0.96[/C][C]1.55456121921785[/C][C]0.0218518254971258[/C][/ROW]
[ROW][C]0.97[/C][C]1.56318401391086[/C][C]0.0164281084859917[/C][/ROW]
[ROW][C]0.98[/C][C]1.5700755206958[/C][C]0.0115591826731545[/C][/ROW]
[ROW][C]0.99[/C][C]1.57479716425189[/C][C]0.00616944059430339[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38701&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38701&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
0.011.009515263510830.0222399121826930
0.021.023491416896310.0285048628318256
0.031.039535011721630.0299877594384399
0.041.054744015440690.0276368108779171
0.051.067955524546440.0249871518058546
0.061.079300758227210.0242854095352173
0.071.089453433646440.0255020640647128
0.081.099059419690370.0274714030486567
0.091.108481787317140.0291550046981174
0.11.117791507664580.0300002119782887
0.111.126873100993170.0298580150183201
0.121.135544180476760.0288455108868803
0.131.143640990196840.0272104181792006
0.141.151061019574250.0252413171952804
0.151.157771845721630.0232039693720592
0.161.163799499307500.0213002202890589
0.171.169207821303670.0196361176928505
0.181.174077037470830.018234563982388
0.191.178486687266260.0170490258840435
0.21.182505316361730.0160062568520235
0.211.186187014855440.0150469498216204
0.221.189573171282500.0141380548690099
0.231.192696957310620.0132783006143452
0.241.195588103099150.0124943140860294
0.251.198276247458320.0118174959714808
0.261.200792165295550.0112737177070033
0.271.203167104357820.0108689237713418
0.281.205431050854680.0105952584011449
0.291.207610911103280.0104240177187569
0.31.209729412112690.0103294921543651
0.311.211805135898080.0102898889139862
0.321.213853669717320.0102921515773899
0.331.215889501480960.0103460989645434
0.341.217928085855760.0104726820496342
0.351.219987469881860.0107024673407600
0.361.222088977702390.0110650268361933
0.371.224256671350020.0115836203540420
0.381.226515578092160.0122598856090854
0.391.228888951695800.0130759508777646
0.41.231395063937900.0139819535434721
0.411.234044159077330.0149186265172690
0.421.236836216590770.0158078805671110
0.431.239760046463920.0165799859533363
0.441.242794004200030.0171720438061447
0.451.245908304278580.0175447863833098
0.461.24906859554010.0176847627422328
0.471.252240209513980.0176063137894653
0.481.255392360320580.0173489896610055
0.491.258501592248150.01697040656737
0.51.261553932769190.0165411354857582
0.511.264545475274710.0161275942065440
0.521.267481424917640.0157831055745314
0.531.270373923823560.0155469180369699
0.541.273239170052520.0154252773046325
0.551.276094422916720.0154123438147941
0.561.278955439823130.0154806473472827
0.571.281834738897830.0155977570442802
0.581.284740869654240.0157337491887487
0.591.287678652140240.0158657532734232
0.61.290650161405880.0159786328034965
0.611.293656123588470.0160751276328107
0.621.296697367806510.0161594841698777
0.631.299776039094350.0162472489466631
0.641.302896399347290.0163539519911720
0.651.306065193204580.0164921517622965
0.661.309291699922850.0166737977904817
0.671.312587702103030.0169072988833264
0.681.315967658319800.0171982846317989
0.691.319449358517720.0175566615524084
0.71.323055262884990.0179987276440422
0.711.326814573421770.0185507182528896
0.721.330765862715420.0192563967658683
0.731.334959797784960.0201710439592309
0.741.339461183226910.0213678160584454
0.751.344349277786140.0229142912640131
0.761.349715220360960.0248667676124946
0.771.355655566382490.0272374032591654
0.781.362261500152010.0299724556908656
0.791.369604301399090.0329428946196121
0.81.377719027722680.0359345886718348
0.811.38658988395930.0386750021912949
0.821.396141963075410.0408645957611246
0.831.406244393070150.0422362610824174
0.841.416728773368620.0426229143617946
0.851.427423568719370.0420230981886289
0.861.438199628114690.0406506123864376
0.871.449014811855870.0389384763237242
0.881.459938941078510.037474248883047
0.891.471138052874390.0368075090486194
0.91.482804840509540.0371302470974971
0.911.495044276778370.0380014139022233
0.921.507756410163940.0383907179918056
0.931.520584962562030.0371283081743494
0.941.532990386235060.0335488700722329
0.951.544435362985080.0280089579182792
0.961.554561219217850.0218518254971258
0.971.563184013910860.0164281084859917
0.981.57007552069580.0115591826731545
0.991.574797164251890.00616944059430339


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')