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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 13 Feb 2014 16:11:25 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Feb/13/t1392325907345rwjya8s06e2f.htm/, Retrieved Thu, 16 May 2024 18:20:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233620, Retrieved Thu, 16 May 2024 18:20:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [] [2014-02-13 20:51:30] [e111091f105e0ef765fc8f1bd595f32b]
-    D  [Harrell-Davis Quantiles] [] [2014-02-13 21:08:06] [e111091f105e0ef765fc8f1bd595f32b]
- R PD      [Harrell-Davis Quantiles] [] [2014-02-13 21:11:25] [0c294eb9167d3ec9e00e44a88645ee85] [Current]
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Dataseries X:
2.58
2.59
2.6
2.6
2.61
2.62
2.64
2.65
2.66
2.67
2.68
2.69
2.69
2.71
2.72
2.73
2.73
2.74
2.74
2.74
2.74
2.74
2.75
2.75
2.75
2.75
2.77
2.78
2.79
2.8
2.82
2.83
2.84
2.87
2.89
2.9
2.9
2.91
2.92
2.92
2.92
2.92
2.94
2.95
2.95
2.97
2.99
3
3
3.01
3.03
3.03
3.04
3.04
3.05
3.05
3.09
3.09
3.09
3.1
3.1
3.11
3.12
3.12
3.12
3.13
3.15
3.16
3.16
3.18
3.19
3.19
3.2
3.21
3.26
3.27
3.28
3.29
3.29
3.3
3.3
3.31
3.31
3.31




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=233620&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=233620&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233620&T=0

As an alternative you can also use a 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
0.012.584207309457510.00951578532383163
0.022.590611816966910.00967409017420707
0.032.597385061635950.0111351216112427
0.042.604286127201440.0142069911713916
0.052.611728697732450.0180822008695379
0.062.619959011167680.021629891206769
0.072.628871857269580.0241794433756482
0.082.638153241014910.0256189766605962
0.092.647469301903860.0262157463928895
0.12.656580075499390.0263456472325508
0.112.66536460376930.026315053480601
0.122.673790276341270.0262604680603238
0.132.681864260221840.0261734964843376
0.142.689592331779430.0259329560463044
0.152.69695611123160.0253992596546913
0.162.703909623822320.0244687403909194
0.172.710390606301660.0231140032000434
0.182.716339710946570.0213999059049174
0.192.721720651540470.0194801595120882
0.22.726535758266370.0175638364363328
0.212.730833777996270.0158847292937594
0.222.734709330685010.0146787083101154
0.232.738295478516350.0141340340008338
0.242.74175194344190.0143824241433694
0.252.745251605847870.0154718347032599
0.262.748967345579010.0173554625276566
0.272.753060471428810.0199395744536855
0.282.757671267307620.0230984079890218
0.292.762911726318490.0266850436129027
0.32.768860347693760.0305350314076362
0.312.775558846123870.0344764699169769
0.322.783010669220050.0383360234736823
0.332.791181275960880.0419337796601053
0.342.800000179054130.0451067651167035
0.352.809364796354290.0477041509739643
0.362.819146177366860.0496034590135745
0.372.829196633670660.0507285702318289
0.382.839359162450280.0510364755357288
0.392.849478290176940.0505518741909696
0.42.859411610272970.0493513568713555
0.412.869040931854640.0475834137792609
0.422.878281716158750.045436662201611
0.432.887089462564580.0431336793962944
0.442.895461973942690.0409119850908837
0.452.903436960663570.0389878028789995
0.462.91108513825760.037533733162094
0.472.91849969166990.0366545190991561
0.482.925783567542540.0363655310401486
0.492.933036394208170.0366095384772216
0.52.940342854019660.0372457464607364
0.512.947764048217260.0381130220878427
0.522.955332864494640.0390313748622705
0.532.963053686399340.0398499744676673
0.542.970906092969780.0404406623861852
0.552.978851600997940.0407392459627048
0.562.986842090430660.0407222530584736
0.572.994828379737750.0404174583821144
0.583.002767498692530.0398837404517176
0.593.010627521918380.0392065561281997
0.63.018389328351990.0384679989468303
0.613.026045263738850.0377336453418124
0.623.033595307174910.0370410995047408
0.633.041041865070050.0363847846224056
0.643.048384623602910.0357334832598693
0.653.055616896538240.0350291984495086
0.663.062724578165290.0342187216353811
0.673.069688199143950.0332633822196934
0.683.076487814853930.0321596022030779
0.693.083109713616650.030954460209019
0.73.089553402122630.0297285040425667
0.713.09583714451780.0285956130883822
0.723.102000552635010.0276743410937316
0.733.108103312185180.0270724904830474
0.743.114219980687690.0268556922206313
0.753.120431764755130.0270312511568415
0.763.126817106203520.0275446517707956
0.773.133443571403450.028295841096953
0.783.14036369318820.0291699204039962
0.793.147616783404850.0300708692907011
0.83.155237111108360.0309592351510518
0.813.163266269250280.0318669498703456
0.823.171764548371940.0329028751499245
0.833.180813841394770.0341987602628282
0.843.190504653998580.0358249865962137
0.853.200903691946640.0376788791619997
0.863.212006492939110.0394304947312203
0.873.223689535279510.0405530070163584
0.883.235683476413190.0404621127823681
0.893.247588032726090.0387310783434876
0.93.25893645791590.0352712660805963
0.913.269296539074050.030425623734753
0.923.278374660288510.0248852107023822
0.933.28608046750590.0194759513134135
0.943.292517516039040.0148849512354808
0.953.297889156132660.0114057461172599
0.963.302348777009470.00878063218154436
0.973.305879094473080.00635172572284209
0.983.308322578355630.00369153924859707
0.993.30960970631410.0012559629884692

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.58420730945751 & 0.00951578532383163 \tabularnewline
0.02 & 2.59061181696691 & 0.00967409017420707 \tabularnewline
0.03 & 2.59738506163595 & 0.0111351216112427 \tabularnewline
0.04 & 2.60428612720144 & 0.0142069911713916 \tabularnewline
0.05 & 2.61172869773245 & 0.0180822008695379 \tabularnewline
0.06 & 2.61995901116768 & 0.021629891206769 \tabularnewline
0.07 & 2.62887185726958 & 0.0241794433756482 \tabularnewline
0.08 & 2.63815324101491 & 0.0256189766605962 \tabularnewline
0.09 & 2.64746930190386 & 0.0262157463928895 \tabularnewline
0.1 & 2.65658007549939 & 0.0263456472325508 \tabularnewline
0.11 & 2.6653646037693 & 0.026315053480601 \tabularnewline
0.12 & 2.67379027634127 & 0.0262604680603238 \tabularnewline
0.13 & 2.68186426022184 & 0.0261734964843376 \tabularnewline
0.14 & 2.68959233177943 & 0.0259329560463044 \tabularnewline
0.15 & 2.6969561112316 & 0.0253992596546913 \tabularnewline
0.16 & 2.70390962382232 & 0.0244687403909194 \tabularnewline
0.17 & 2.71039060630166 & 0.0231140032000434 \tabularnewline
0.18 & 2.71633971094657 & 0.0213999059049174 \tabularnewline
0.19 & 2.72172065154047 & 0.0194801595120882 \tabularnewline
0.2 & 2.72653575826637 & 0.0175638364363328 \tabularnewline
0.21 & 2.73083377799627 & 0.0158847292937594 \tabularnewline
0.22 & 2.73470933068501 & 0.0146787083101154 \tabularnewline
0.23 & 2.73829547851635 & 0.0141340340008338 \tabularnewline
0.24 & 2.7417519434419 & 0.0143824241433694 \tabularnewline
0.25 & 2.74525160584787 & 0.0154718347032599 \tabularnewline
0.26 & 2.74896734557901 & 0.0173554625276566 \tabularnewline
0.27 & 2.75306047142881 & 0.0199395744536855 \tabularnewline
0.28 & 2.75767126730762 & 0.0230984079890218 \tabularnewline
0.29 & 2.76291172631849 & 0.0266850436129027 \tabularnewline
0.3 & 2.76886034769376 & 0.0305350314076362 \tabularnewline
0.31 & 2.77555884612387 & 0.0344764699169769 \tabularnewline
0.32 & 2.78301066922005 & 0.0383360234736823 \tabularnewline
0.33 & 2.79118127596088 & 0.0419337796601053 \tabularnewline
0.34 & 2.80000017905413 & 0.0451067651167035 \tabularnewline
0.35 & 2.80936479635429 & 0.0477041509739643 \tabularnewline
0.36 & 2.81914617736686 & 0.0496034590135745 \tabularnewline
0.37 & 2.82919663367066 & 0.0507285702318289 \tabularnewline
0.38 & 2.83935916245028 & 0.0510364755357288 \tabularnewline
0.39 & 2.84947829017694 & 0.0505518741909696 \tabularnewline
0.4 & 2.85941161027297 & 0.0493513568713555 \tabularnewline
0.41 & 2.86904093185464 & 0.0475834137792609 \tabularnewline
0.42 & 2.87828171615875 & 0.045436662201611 \tabularnewline
0.43 & 2.88708946256458 & 0.0431336793962944 \tabularnewline
0.44 & 2.89546197394269 & 0.0409119850908837 \tabularnewline
0.45 & 2.90343696066357 & 0.0389878028789995 \tabularnewline
0.46 & 2.9110851382576 & 0.037533733162094 \tabularnewline
0.47 & 2.9184996916699 & 0.0366545190991561 \tabularnewline
0.48 & 2.92578356754254 & 0.0363655310401486 \tabularnewline
0.49 & 2.93303639420817 & 0.0366095384772216 \tabularnewline
0.5 & 2.94034285401966 & 0.0372457464607364 \tabularnewline
0.51 & 2.94776404821726 & 0.0381130220878427 \tabularnewline
0.52 & 2.95533286449464 & 0.0390313748622705 \tabularnewline
0.53 & 2.96305368639934 & 0.0398499744676673 \tabularnewline
0.54 & 2.97090609296978 & 0.0404406623861852 \tabularnewline
0.55 & 2.97885160099794 & 0.0407392459627048 \tabularnewline
0.56 & 2.98684209043066 & 0.0407222530584736 \tabularnewline
0.57 & 2.99482837973775 & 0.0404174583821144 \tabularnewline
0.58 & 3.00276749869253 & 0.0398837404517176 \tabularnewline
0.59 & 3.01062752191838 & 0.0392065561281997 \tabularnewline
0.6 & 3.01838932835199 & 0.0384679989468303 \tabularnewline
0.61 & 3.02604526373885 & 0.0377336453418124 \tabularnewline
0.62 & 3.03359530717491 & 0.0370410995047408 \tabularnewline
0.63 & 3.04104186507005 & 0.0363847846224056 \tabularnewline
0.64 & 3.04838462360291 & 0.0357334832598693 \tabularnewline
0.65 & 3.05561689653824 & 0.0350291984495086 \tabularnewline
0.66 & 3.06272457816529 & 0.0342187216353811 \tabularnewline
0.67 & 3.06968819914395 & 0.0332633822196934 \tabularnewline
0.68 & 3.07648781485393 & 0.0321596022030779 \tabularnewline
0.69 & 3.08310971361665 & 0.030954460209019 \tabularnewline
0.7 & 3.08955340212263 & 0.0297285040425667 \tabularnewline
0.71 & 3.0958371445178 & 0.0285956130883822 \tabularnewline
0.72 & 3.10200055263501 & 0.0276743410937316 \tabularnewline
0.73 & 3.10810331218518 & 0.0270724904830474 \tabularnewline
0.74 & 3.11421998068769 & 0.0268556922206313 \tabularnewline
0.75 & 3.12043176475513 & 0.0270312511568415 \tabularnewline
0.76 & 3.12681710620352 & 0.0275446517707956 \tabularnewline
0.77 & 3.13344357140345 & 0.028295841096953 \tabularnewline
0.78 & 3.1403636931882 & 0.0291699204039962 \tabularnewline
0.79 & 3.14761678340485 & 0.0300708692907011 \tabularnewline
0.8 & 3.15523711110836 & 0.0309592351510518 \tabularnewline
0.81 & 3.16326626925028 & 0.0318669498703456 \tabularnewline
0.82 & 3.17176454837194 & 0.0329028751499245 \tabularnewline
0.83 & 3.18081384139477 & 0.0341987602628282 \tabularnewline
0.84 & 3.19050465399858 & 0.0358249865962137 \tabularnewline
0.85 & 3.20090369194664 & 0.0376788791619997 \tabularnewline
0.86 & 3.21200649293911 & 0.0394304947312203 \tabularnewline
0.87 & 3.22368953527951 & 0.0405530070163584 \tabularnewline
0.88 & 3.23568347641319 & 0.0404621127823681 \tabularnewline
0.89 & 3.24758803272609 & 0.0387310783434876 \tabularnewline
0.9 & 3.2589364579159 & 0.0352712660805963 \tabularnewline
0.91 & 3.26929653907405 & 0.030425623734753 \tabularnewline
0.92 & 3.27837466028851 & 0.0248852107023822 \tabularnewline
0.93 & 3.2860804675059 & 0.0194759513134135 \tabularnewline
0.94 & 3.29251751603904 & 0.0148849512354808 \tabularnewline
0.95 & 3.29788915613266 & 0.0114057461172599 \tabularnewline
0.96 & 3.30234877700947 & 0.00878063218154436 \tabularnewline
0.97 & 3.30587909447308 & 0.00635172572284209 \tabularnewline
0.98 & 3.30832257835563 & 0.00369153924859707 \tabularnewline
0.99 & 3.3096097063141 & 0.0012559629884692 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233620&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]2.58420730945751[/C][C]0.00951578532383163[/C][/ROW]
[ROW][C]0.02[/C][C]2.59061181696691[/C][C]0.00967409017420707[/C][/ROW]
[ROW][C]0.03[/C][C]2.59738506163595[/C][C]0.0111351216112427[/C][/ROW]
[ROW][C]0.04[/C][C]2.60428612720144[/C][C]0.0142069911713916[/C][/ROW]
[ROW][C]0.05[/C][C]2.61172869773245[/C][C]0.0180822008695379[/C][/ROW]
[ROW][C]0.06[/C][C]2.61995901116768[/C][C]0.021629891206769[/C][/ROW]
[ROW][C]0.07[/C][C]2.62887185726958[/C][C]0.0241794433756482[/C][/ROW]
[ROW][C]0.08[/C][C]2.63815324101491[/C][C]0.0256189766605962[/C][/ROW]
[ROW][C]0.09[/C][C]2.64746930190386[/C][C]0.0262157463928895[/C][/ROW]
[ROW][C]0.1[/C][C]2.65658007549939[/C][C]0.0263456472325508[/C][/ROW]
[ROW][C]0.11[/C][C]2.6653646037693[/C][C]0.026315053480601[/C][/ROW]
[ROW][C]0.12[/C][C]2.67379027634127[/C][C]0.0262604680603238[/C][/ROW]
[ROW][C]0.13[/C][C]2.68186426022184[/C][C]0.0261734964843376[/C][/ROW]
[ROW][C]0.14[/C][C]2.68959233177943[/C][C]0.0259329560463044[/C][/ROW]
[ROW][C]0.15[/C][C]2.6969561112316[/C][C]0.0253992596546913[/C][/ROW]
[ROW][C]0.16[/C][C]2.70390962382232[/C][C]0.0244687403909194[/C][/ROW]
[ROW][C]0.17[/C][C]2.71039060630166[/C][C]0.0231140032000434[/C][/ROW]
[ROW][C]0.18[/C][C]2.71633971094657[/C][C]0.0213999059049174[/C][/ROW]
[ROW][C]0.19[/C][C]2.72172065154047[/C][C]0.0194801595120882[/C][/ROW]
[ROW][C]0.2[/C][C]2.72653575826637[/C][C]0.0175638364363328[/C][/ROW]
[ROW][C]0.21[/C][C]2.73083377799627[/C][C]0.0158847292937594[/C][/ROW]
[ROW][C]0.22[/C][C]2.73470933068501[/C][C]0.0146787083101154[/C][/ROW]
[ROW][C]0.23[/C][C]2.73829547851635[/C][C]0.0141340340008338[/C][/ROW]
[ROW][C]0.24[/C][C]2.7417519434419[/C][C]0.0143824241433694[/C][/ROW]
[ROW][C]0.25[/C][C]2.74525160584787[/C][C]0.0154718347032599[/C][/ROW]
[ROW][C]0.26[/C][C]2.74896734557901[/C][C]0.0173554625276566[/C][/ROW]
[ROW][C]0.27[/C][C]2.75306047142881[/C][C]0.0199395744536855[/C][/ROW]
[ROW][C]0.28[/C][C]2.75767126730762[/C][C]0.0230984079890218[/C][/ROW]
[ROW][C]0.29[/C][C]2.76291172631849[/C][C]0.0266850436129027[/C][/ROW]
[ROW][C]0.3[/C][C]2.76886034769376[/C][C]0.0305350314076362[/C][/ROW]
[ROW][C]0.31[/C][C]2.77555884612387[/C][C]0.0344764699169769[/C][/ROW]
[ROW][C]0.32[/C][C]2.78301066922005[/C][C]0.0383360234736823[/C][/ROW]
[ROW][C]0.33[/C][C]2.79118127596088[/C][C]0.0419337796601053[/C][/ROW]
[ROW][C]0.34[/C][C]2.80000017905413[/C][C]0.0451067651167035[/C][/ROW]
[ROW][C]0.35[/C][C]2.80936479635429[/C][C]0.0477041509739643[/C][/ROW]
[ROW][C]0.36[/C][C]2.81914617736686[/C][C]0.0496034590135745[/C][/ROW]
[ROW][C]0.37[/C][C]2.82919663367066[/C][C]0.0507285702318289[/C][/ROW]
[ROW][C]0.38[/C][C]2.83935916245028[/C][C]0.0510364755357288[/C][/ROW]
[ROW][C]0.39[/C][C]2.84947829017694[/C][C]0.0505518741909696[/C][/ROW]
[ROW][C]0.4[/C][C]2.85941161027297[/C][C]0.0493513568713555[/C][/ROW]
[ROW][C]0.41[/C][C]2.86904093185464[/C][C]0.0475834137792609[/C][/ROW]
[ROW][C]0.42[/C][C]2.87828171615875[/C][C]0.045436662201611[/C][/ROW]
[ROW][C]0.43[/C][C]2.88708946256458[/C][C]0.0431336793962944[/C][/ROW]
[ROW][C]0.44[/C][C]2.89546197394269[/C][C]0.0409119850908837[/C][/ROW]
[ROW][C]0.45[/C][C]2.90343696066357[/C][C]0.0389878028789995[/C][/ROW]
[ROW][C]0.46[/C][C]2.9110851382576[/C][C]0.037533733162094[/C][/ROW]
[ROW][C]0.47[/C][C]2.9184996916699[/C][C]0.0366545190991561[/C][/ROW]
[ROW][C]0.48[/C][C]2.92578356754254[/C][C]0.0363655310401486[/C][/ROW]
[ROW][C]0.49[/C][C]2.93303639420817[/C][C]0.0366095384772216[/C][/ROW]
[ROW][C]0.5[/C][C]2.94034285401966[/C][C]0.0372457464607364[/C][/ROW]
[ROW][C]0.51[/C][C]2.94776404821726[/C][C]0.0381130220878427[/C][/ROW]
[ROW][C]0.52[/C][C]2.95533286449464[/C][C]0.0390313748622705[/C][/ROW]
[ROW][C]0.53[/C][C]2.96305368639934[/C][C]0.0398499744676673[/C][/ROW]
[ROW][C]0.54[/C][C]2.97090609296978[/C][C]0.0404406623861852[/C][/ROW]
[ROW][C]0.55[/C][C]2.97885160099794[/C][C]0.0407392459627048[/C][/ROW]
[ROW][C]0.56[/C][C]2.98684209043066[/C][C]0.0407222530584736[/C][/ROW]
[ROW][C]0.57[/C][C]2.99482837973775[/C][C]0.0404174583821144[/C][/ROW]
[ROW][C]0.58[/C][C]3.00276749869253[/C][C]0.0398837404517176[/C][/ROW]
[ROW][C]0.59[/C][C]3.01062752191838[/C][C]0.0392065561281997[/C][/ROW]
[ROW][C]0.6[/C][C]3.01838932835199[/C][C]0.0384679989468303[/C][/ROW]
[ROW][C]0.61[/C][C]3.02604526373885[/C][C]0.0377336453418124[/C][/ROW]
[ROW][C]0.62[/C][C]3.03359530717491[/C][C]0.0370410995047408[/C][/ROW]
[ROW][C]0.63[/C][C]3.04104186507005[/C][C]0.0363847846224056[/C][/ROW]
[ROW][C]0.64[/C][C]3.04838462360291[/C][C]0.0357334832598693[/C][/ROW]
[ROW][C]0.65[/C][C]3.05561689653824[/C][C]0.0350291984495086[/C][/ROW]
[ROW][C]0.66[/C][C]3.06272457816529[/C][C]0.0342187216353811[/C][/ROW]
[ROW][C]0.67[/C][C]3.06968819914395[/C][C]0.0332633822196934[/C][/ROW]
[ROW][C]0.68[/C][C]3.07648781485393[/C][C]0.0321596022030779[/C][/ROW]
[ROW][C]0.69[/C][C]3.08310971361665[/C][C]0.030954460209019[/C][/ROW]
[ROW][C]0.7[/C][C]3.08955340212263[/C][C]0.0297285040425667[/C][/ROW]
[ROW][C]0.71[/C][C]3.0958371445178[/C][C]0.0285956130883822[/C][/ROW]
[ROW][C]0.72[/C][C]3.10200055263501[/C][C]0.0276743410937316[/C][/ROW]
[ROW][C]0.73[/C][C]3.10810331218518[/C][C]0.0270724904830474[/C][/ROW]
[ROW][C]0.74[/C][C]3.11421998068769[/C][C]0.0268556922206313[/C][/ROW]
[ROW][C]0.75[/C][C]3.12043176475513[/C][C]0.0270312511568415[/C][/ROW]
[ROW][C]0.76[/C][C]3.12681710620352[/C][C]0.0275446517707956[/C][/ROW]
[ROW][C]0.77[/C][C]3.13344357140345[/C][C]0.028295841096953[/C][/ROW]
[ROW][C]0.78[/C][C]3.1403636931882[/C][C]0.0291699204039962[/C][/ROW]
[ROW][C]0.79[/C][C]3.14761678340485[/C][C]0.0300708692907011[/C][/ROW]
[ROW][C]0.8[/C][C]3.15523711110836[/C][C]0.0309592351510518[/C][/ROW]
[ROW][C]0.81[/C][C]3.16326626925028[/C][C]0.0318669498703456[/C][/ROW]
[ROW][C]0.82[/C][C]3.17176454837194[/C][C]0.0329028751499245[/C][/ROW]
[ROW][C]0.83[/C][C]3.18081384139477[/C][C]0.0341987602628282[/C][/ROW]
[ROW][C]0.84[/C][C]3.19050465399858[/C][C]0.0358249865962137[/C][/ROW]
[ROW][C]0.85[/C][C]3.20090369194664[/C][C]0.0376788791619997[/C][/ROW]
[ROW][C]0.86[/C][C]3.21200649293911[/C][C]0.0394304947312203[/C][/ROW]
[ROW][C]0.87[/C][C]3.22368953527951[/C][C]0.0405530070163584[/C][/ROW]
[ROW][C]0.88[/C][C]3.23568347641319[/C][C]0.0404621127823681[/C][/ROW]
[ROW][C]0.89[/C][C]3.24758803272609[/C][C]0.0387310783434876[/C][/ROW]
[ROW][C]0.9[/C][C]3.2589364579159[/C][C]0.0352712660805963[/C][/ROW]
[ROW][C]0.91[/C][C]3.26929653907405[/C][C]0.030425623734753[/C][/ROW]
[ROW][C]0.92[/C][C]3.27837466028851[/C][C]0.0248852107023822[/C][/ROW]
[ROW][C]0.93[/C][C]3.2860804675059[/C][C]0.0194759513134135[/C][/ROW]
[ROW][C]0.94[/C][C]3.29251751603904[/C][C]0.0148849512354808[/C][/ROW]
[ROW][C]0.95[/C][C]3.29788915613266[/C][C]0.0114057461172599[/C][/ROW]
[ROW][C]0.96[/C][C]3.30234877700947[/C][C]0.00878063218154436[/C][/ROW]
[ROW][C]0.97[/C][C]3.30587909447308[/C][C]0.00635172572284209[/C][/ROW]
[ROW][C]0.98[/C][C]3.30832257835563[/C][C]0.00369153924859707[/C][/ROW]
[ROW][C]0.99[/C][C]3.3096097063141[/C][C]0.0012559629884692[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233620&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233620&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.584207309457510.00951578532383163
0.022.590611816966910.00967409017420707
0.032.597385061635950.0111351216112427
0.042.604286127201440.0142069911713916
0.052.611728697732450.0180822008695379
0.062.619959011167680.021629891206769
0.072.628871857269580.0241794433756482
0.082.638153241014910.0256189766605962
0.092.647469301903860.0262157463928895
0.12.656580075499390.0263456472325508
0.112.66536460376930.026315053480601
0.122.673790276341270.0262604680603238
0.132.681864260221840.0261734964843376
0.142.689592331779430.0259329560463044
0.152.69695611123160.0253992596546913
0.162.703909623822320.0244687403909194
0.172.710390606301660.0231140032000434
0.182.716339710946570.0213999059049174
0.192.721720651540470.0194801595120882
0.22.726535758266370.0175638364363328
0.212.730833777996270.0158847292937594
0.222.734709330685010.0146787083101154
0.232.738295478516350.0141340340008338
0.242.74175194344190.0143824241433694
0.252.745251605847870.0154718347032599
0.262.748967345579010.0173554625276566
0.272.753060471428810.0199395744536855
0.282.757671267307620.0230984079890218
0.292.762911726318490.0266850436129027
0.32.768860347693760.0305350314076362
0.312.775558846123870.0344764699169769
0.322.783010669220050.0383360234736823
0.332.791181275960880.0419337796601053
0.342.800000179054130.0451067651167035
0.352.809364796354290.0477041509739643
0.362.819146177366860.0496034590135745
0.372.829196633670660.0507285702318289
0.382.839359162450280.0510364755357288
0.392.849478290176940.0505518741909696
0.42.859411610272970.0493513568713555
0.412.869040931854640.0475834137792609
0.422.878281716158750.045436662201611
0.432.887089462564580.0431336793962944
0.442.895461973942690.0409119850908837
0.452.903436960663570.0389878028789995
0.462.91108513825760.037533733162094
0.472.91849969166990.0366545190991561
0.482.925783567542540.0363655310401486
0.492.933036394208170.0366095384772216
0.52.940342854019660.0372457464607364
0.512.947764048217260.0381130220878427
0.522.955332864494640.0390313748622705
0.532.963053686399340.0398499744676673
0.542.970906092969780.0404406623861852
0.552.978851600997940.0407392459627048
0.562.986842090430660.0407222530584736
0.572.994828379737750.0404174583821144
0.583.002767498692530.0398837404517176
0.593.010627521918380.0392065561281997
0.63.018389328351990.0384679989468303
0.613.026045263738850.0377336453418124
0.623.033595307174910.0370410995047408
0.633.041041865070050.0363847846224056
0.643.048384623602910.0357334832598693
0.653.055616896538240.0350291984495086
0.663.062724578165290.0342187216353811
0.673.069688199143950.0332633822196934
0.683.076487814853930.0321596022030779
0.693.083109713616650.030954460209019
0.73.089553402122630.0297285040425667
0.713.09583714451780.0285956130883822
0.723.102000552635010.0276743410937316
0.733.108103312185180.0270724904830474
0.743.114219980687690.0268556922206313
0.753.120431764755130.0270312511568415
0.763.126817106203520.0275446517707956
0.773.133443571403450.028295841096953
0.783.14036369318820.0291699204039962
0.793.147616783404850.0300708692907011
0.83.155237111108360.0309592351510518
0.813.163266269250280.0318669498703456
0.823.171764548371940.0329028751499245
0.833.180813841394770.0341987602628282
0.843.190504653998580.0358249865962137
0.853.200903691946640.0376788791619997
0.863.212006492939110.0394304947312203
0.873.223689535279510.0405530070163584
0.883.235683476413190.0404621127823681
0.893.247588032726090.0387310783434876
0.93.25893645791590.0352712660805963
0.913.269296539074050.030425623734753
0.923.278374660288510.0248852107023822
0.933.28608046750590.0194759513134135
0.943.292517516039040.0148849512354808
0.953.297889156132660.0114057461172599
0.963.302348777009470.00878063218154436
0.973.305879094473080.00635172572284209
0.983.308322578355630.00369153924859707
0.993.30960970631410.0012559629884692



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')