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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 30 Sep 2013 11:17:50 -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/Sep/30/t1380554408dac4909vvtgl70o.htm/, Retrieved Thu, 02 May 2024 10:00:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212472, Retrieved Thu, 02 May 2024 10:00:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact102
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2013-09-30 15:17:50] [12e977ea58b1a83461bd6217bf886aa8] [Current]
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Dataseries X:
3.96
3.97
3.96
3.95
3.94
3.94
3.95
3.93
3.94
3.92
3.95
3.94
3.95
3.92
3.92
3.92
3.92
3.9
3.92
3.94
3.96
3.95
3.96
3.97
3.99
4
4.05
4.08
4.09
4.12
4.14
4.15
4.15
4.15
4.15
4.2
4.22
4.22
4.22
4.23
4.3
4.29
4.32
4.31
4.35
4.34
4.35
4.38
4.39
4.38
4.34
4.33
4.33
4.33
4.33
4.32
4.35
4.35
4.35
4.36
4.38
4.41
4.43
4.42
4.43
4.43
4.42
4.46
4.44
4.41
4.41
4.46
4.5
4.58
4.61
4.65
4.55
4.63
4.69
4.72
4.71
4.74
4.77
4.78




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' @ fisher.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 Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212472&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' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212472&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212472&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.013.906019893769890.0139081035686494
0.023.912904663870350.00722089373756976
0.033.917370561845840.00314439778788657
0.043.919677040356760.00211556581188152
0.053.921131712092340.00317974402614859
0.063.922649165606870.00491409312843868
0.073.924600471838230.00665642202338617
0.083.927007907846440.00795807418251843
0.093.929716440943510.00858204393200834
0.13.932514686753410.00854661357209999
0.113.935219744722830.00806571443466921
0.123.937723159112750.00744358979082764
0.133.939997488382160.00693388892425484
0.143.942075699728110.00665700162890827
0.153.944022156085460.00663974292274328
0.163.945910383048250.00685218300993439
0.173.947813978234770.00730277752110188
0.183.949809096702950.00805491052368601
0.193.951983025873650.00923226710987488
0.23.954443194825720.0109833214457276
0.213.957322659255470.0134616703031724
0.223.960779950713720.0167878722168205
0.233.964992467339850.0210441500263618
0.243.970143470862070.0262122031178765
0.253.976403679043660.0321739313617731
0.263.983909608986370.0387165159359093
0.273.992742028913660.0454948273651935
0.284.002908639498260.0521103182222872
0.294.014334977408820.0581560752841784
0.34.0268663352390.0632280187733603
0.314.040281422552490.0670516104840331
0.324.054316063792960.0694827852880687
0.334.068693083474230.070530956151765
0.344.083153229943610.0703595644803881
0.354.097481849723150.0692767071413537
0.364.111527033515560.0676360605747587
0.374.125206803781550.0658172106469408
0.384.138505108108950.0641575745323333
0.394.151458395623280.0628714751991871
0.44.164135971166810.0620774927885805
0.414.176617936763840.0617381629333214
0.424.188974362995460.0617203421288366
0.434.201248583205150.0618269295321672
0.444.213446452346720.0618192096064325
0.454.225532322936110.0614600858065996
0.464.237431539117690.0605626348297024
0.474.249038508550180.0589832814633751
0.484.260228879271320.056659697864516
0.494.270874002021170.0536072757382489
0.54.280855695426820.0499220074753356
0.514.290079380429940.0457603547681447
0.524.298483946571990.0413266302033881
0.534.306047257392120.0368393245906367
0.544.312786930546510.0325170284457793
0.554.318756807281850.0285561192283212
0.564.324040185761570.0250933251053854
0.574.328741280352680.0222276262949952
0.584.33297640111560.020006498194891
0.594.33686604194260.0184248393834396
0.64.340528536503970.0174539388462813
0.614.344075362379510.0170516070919256
0.624.34760772179060.0171399656631155
0.634.351213824137250.0176414537229005
0.644.354966372319850.0184626902799664
0.654.358920048431620.0195014370503522
0.664.363109176458820.0206397240742672
0.674.367546066408860.0217643841492362
0.684.372220707681550.0227559307382306
0.694.377102439606830.0235242942055618
0.74.382144015880920.023990869810238
0.714.387288177795770.0241280550281178
0.724.392476550348510.0239422881576114
0.734.397660441800780.0234861622564987
0.744.402812977797580.0228822887068966
0.754.407941895058120.0222874558598781
0.764.413102166515720.0219298731733677
0.774.418407314666020.0220711462441454
0.784.424037702627050.0230218703314494
0.794.430243287616710.0250666907988269
0.84.437337500269090.0284215000568957
0.814.445678582524450.0331788409953497
0.824.455635637828150.0392264446201221
0.834.46753957851820.046245666176045
0.844.481624313182830.0536809769417048
0.854.497969881904920.0607945999499724
0.864.516464137750440.0667663537039579
0.874.536799148374850.0708644460056739
0.884.558509717898310.0726353039529734
0.894.581045214848710.0720143583875875
0.94.60384962138440.0693133133875475
0.914.626420974421860.0650337435364148
0.924.648339915023490.0596212450185554
0.934.669291182507660.0533680006681373
0.944.689118553196970.0465934842222942
0.954.707906285970340.0399892634931342
0.964.725960974514460.0345214171564858
0.974.74348132242960.030211824264463
0.984.759853916753510.0248333136320248
0.994.773009301373140.0164676702971018

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3.90601989376989 & 0.0139081035686494 \tabularnewline
0.02 & 3.91290466387035 & 0.00722089373756976 \tabularnewline
0.03 & 3.91737056184584 & 0.00314439778788657 \tabularnewline
0.04 & 3.91967704035676 & 0.00211556581188152 \tabularnewline
0.05 & 3.92113171209234 & 0.00317974402614859 \tabularnewline
0.06 & 3.92264916560687 & 0.00491409312843868 \tabularnewline
0.07 & 3.92460047183823 & 0.00665642202338617 \tabularnewline
0.08 & 3.92700790784644 & 0.00795807418251843 \tabularnewline
0.09 & 3.92971644094351 & 0.00858204393200834 \tabularnewline
0.1 & 3.93251468675341 & 0.00854661357209999 \tabularnewline
0.11 & 3.93521974472283 & 0.00806571443466921 \tabularnewline
0.12 & 3.93772315911275 & 0.00744358979082764 \tabularnewline
0.13 & 3.93999748838216 & 0.00693388892425484 \tabularnewline
0.14 & 3.94207569972811 & 0.00665700162890827 \tabularnewline
0.15 & 3.94402215608546 & 0.00663974292274328 \tabularnewline
0.16 & 3.94591038304825 & 0.00685218300993439 \tabularnewline
0.17 & 3.94781397823477 & 0.00730277752110188 \tabularnewline
0.18 & 3.94980909670295 & 0.00805491052368601 \tabularnewline
0.19 & 3.95198302587365 & 0.00923226710987488 \tabularnewline
0.2 & 3.95444319482572 & 0.0109833214457276 \tabularnewline
0.21 & 3.95732265925547 & 0.0134616703031724 \tabularnewline
0.22 & 3.96077995071372 & 0.0167878722168205 \tabularnewline
0.23 & 3.96499246733985 & 0.0210441500263618 \tabularnewline
0.24 & 3.97014347086207 & 0.0262122031178765 \tabularnewline
0.25 & 3.97640367904366 & 0.0321739313617731 \tabularnewline
0.26 & 3.98390960898637 & 0.0387165159359093 \tabularnewline
0.27 & 3.99274202891366 & 0.0454948273651935 \tabularnewline
0.28 & 4.00290863949826 & 0.0521103182222872 \tabularnewline
0.29 & 4.01433497740882 & 0.0581560752841784 \tabularnewline
0.3 & 4.026866335239 & 0.0632280187733603 \tabularnewline
0.31 & 4.04028142255249 & 0.0670516104840331 \tabularnewline
0.32 & 4.05431606379296 & 0.0694827852880687 \tabularnewline
0.33 & 4.06869308347423 & 0.070530956151765 \tabularnewline
0.34 & 4.08315322994361 & 0.0703595644803881 \tabularnewline
0.35 & 4.09748184972315 & 0.0692767071413537 \tabularnewline
0.36 & 4.11152703351556 & 0.0676360605747587 \tabularnewline
0.37 & 4.12520680378155 & 0.0658172106469408 \tabularnewline
0.38 & 4.13850510810895 & 0.0641575745323333 \tabularnewline
0.39 & 4.15145839562328 & 0.0628714751991871 \tabularnewline
0.4 & 4.16413597116681 & 0.0620774927885805 \tabularnewline
0.41 & 4.17661793676384 & 0.0617381629333214 \tabularnewline
0.42 & 4.18897436299546 & 0.0617203421288366 \tabularnewline
0.43 & 4.20124858320515 & 0.0618269295321672 \tabularnewline
0.44 & 4.21344645234672 & 0.0618192096064325 \tabularnewline
0.45 & 4.22553232293611 & 0.0614600858065996 \tabularnewline
0.46 & 4.23743153911769 & 0.0605626348297024 \tabularnewline
0.47 & 4.24903850855018 & 0.0589832814633751 \tabularnewline
0.48 & 4.26022887927132 & 0.056659697864516 \tabularnewline
0.49 & 4.27087400202117 & 0.0536072757382489 \tabularnewline
0.5 & 4.28085569542682 & 0.0499220074753356 \tabularnewline
0.51 & 4.29007938042994 & 0.0457603547681447 \tabularnewline
0.52 & 4.29848394657199 & 0.0413266302033881 \tabularnewline
0.53 & 4.30604725739212 & 0.0368393245906367 \tabularnewline
0.54 & 4.31278693054651 & 0.0325170284457793 \tabularnewline
0.55 & 4.31875680728185 & 0.0285561192283212 \tabularnewline
0.56 & 4.32404018576157 & 0.0250933251053854 \tabularnewline
0.57 & 4.32874128035268 & 0.0222276262949952 \tabularnewline
0.58 & 4.3329764011156 & 0.020006498194891 \tabularnewline
0.59 & 4.3368660419426 & 0.0184248393834396 \tabularnewline
0.6 & 4.34052853650397 & 0.0174539388462813 \tabularnewline
0.61 & 4.34407536237951 & 0.0170516070919256 \tabularnewline
0.62 & 4.3476077217906 & 0.0171399656631155 \tabularnewline
0.63 & 4.35121382413725 & 0.0176414537229005 \tabularnewline
0.64 & 4.35496637231985 & 0.0184626902799664 \tabularnewline
0.65 & 4.35892004843162 & 0.0195014370503522 \tabularnewline
0.66 & 4.36310917645882 & 0.0206397240742672 \tabularnewline
0.67 & 4.36754606640886 & 0.0217643841492362 \tabularnewline
0.68 & 4.37222070768155 & 0.0227559307382306 \tabularnewline
0.69 & 4.37710243960683 & 0.0235242942055618 \tabularnewline
0.7 & 4.38214401588092 & 0.023990869810238 \tabularnewline
0.71 & 4.38728817779577 & 0.0241280550281178 \tabularnewline
0.72 & 4.39247655034851 & 0.0239422881576114 \tabularnewline
0.73 & 4.39766044180078 & 0.0234861622564987 \tabularnewline
0.74 & 4.40281297779758 & 0.0228822887068966 \tabularnewline
0.75 & 4.40794189505812 & 0.0222874558598781 \tabularnewline
0.76 & 4.41310216651572 & 0.0219298731733677 \tabularnewline
0.77 & 4.41840731466602 & 0.0220711462441454 \tabularnewline
0.78 & 4.42403770262705 & 0.0230218703314494 \tabularnewline
0.79 & 4.43024328761671 & 0.0250666907988269 \tabularnewline
0.8 & 4.43733750026909 & 0.0284215000568957 \tabularnewline
0.81 & 4.44567858252445 & 0.0331788409953497 \tabularnewline
0.82 & 4.45563563782815 & 0.0392264446201221 \tabularnewline
0.83 & 4.4675395785182 & 0.046245666176045 \tabularnewline
0.84 & 4.48162431318283 & 0.0536809769417048 \tabularnewline
0.85 & 4.49796988190492 & 0.0607945999499724 \tabularnewline
0.86 & 4.51646413775044 & 0.0667663537039579 \tabularnewline
0.87 & 4.53679914837485 & 0.0708644460056739 \tabularnewline
0.88 & 4.55850971789831 & 0.0726353039529734 \tabularnewline
0.89 & 4.58104521484871 & 0.0720143583875875 \tabularnewline
0.9 & 4.6038496213844 & 0.0693133133875475 \tabularnewline
0.91 & 4.62642097442186 & 0.0650337435364148 \tabularnewline
0.92 & 4.64833991502349 & 0.0596212450185554 \tabularnewline
0.93 & 4.66929118250766 & 0.0533680006681373 \tabularnewline
0.94 & 4.68911855319697 & 0.0465934842222942 \tabularnewline
0.95 & 4.70790628597034 & 0.0399892634931342 \tabularnewline
0.96 & 4.72596097451446 & 0.0345214171564858 \tabularnewline
0.97 & 4.7434813224296 & 0.030211824264463 \tabularnewline
0.98 & 4.75985391675351 & 0.0248333136320248 \tabularnewline
0.99 & 4.77300930137314 & 0.0164676702971018 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212472&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]3.90601989376989[/C][C]0.0139081035686494[/C][/ROW]
[ROW][C]0.02[/C][C]3.91290466387035[/C][C]0.00722089373756976[/C][/ROW]
[ROW][C]0.03[/C][C]3.91737056184584[/C][C]0.00314439778788657[/C][/ROW]
[ROW][C]0.04[/C][C]3.91967704035676[/C][C]0.00211556581188152[/C][/ROW]
[ROW][C]0.05[/C][C]3.92113171209234[/C][C]0.00317974402614859[/C][/ROW]
[ROW][C]0.06[/C][C]3.92264916560687[/C][C]0.00491409312843868[/C][/ROW]
[ROW][C]0.07[/C][C]3.92460047183823[/C][C]0.00665642202338617[/C][/ROW]
[ROW][C]0.08[/C][C]3.92700790784644[/C][C]0.00795807418251843[/C][/ROW]
[ROW][C]0.09[/C][C]3.92971644094351[/C][C]0.00858204393200834[/C][/ROW]
[ROW][C]0.1[/C][C]3.93251468675341[/C][C]0.00854661357209999[/C][/ROW]
[ROW][C]0.11[/C][C]3.93521974472283[/C][C]0.00806571443466921[/C][/ROW]
[ROW][C]0.12[/C][C]3.93772315911275[/C][C]0.00744358979082764[/C][/ROW]
[ROW][C]0.13[/C][C]3.93999748838216[/C][C]0.00693388892425484[/C][/ROW]
[ROW][C]0.14[/C][C]3.94207569972811[/C][C]0.00665700162890827[/C][/ROW]
[ROW][C]0.15[/C][C]3.94402215608546[/C][C]0.00663974292274328[/C][/ROW]
[ROW][C]0.16[/C][C]3.94591038304825[/C][C]0.00685218300993439[/C][/ROW]
[ROW][C]0.17[/C][C]3.94781397823477[/C][C]0.00730277752110188[/C][/ROW]
[ROW][C]0.18[/C][C]3.94980909670295[/C][C]0.00805491052368601[/C][/ROW]
[ROW][C]0.19[/C][C]3.95198302587365[/C][C]0.00923226710987488[/C][/ROW]
[ROW][C]0.2[/C][C]3.95444319482572[/C][C]0.0109833214457276[/C][/ROW]
[ROW][C]0.21[/C][C]3.95732265925547[/C][C]0.0134616703031724[/C][/ROW]
[ROW][C]0.22[/C][C]3.96077995071372[/C][C]0.0167878722168205[/C][/ROW]
[ROW][C]0.23[/C][C]3.96499246733985[/C][C]0.0210441500263618[/C][/ROW]
[ROW][C]0.24[/C][C]3.97014347086207[/C][C]0.0262122031178765[/C][/ROW]
[ROW][C]0.25[/C][C]3.97640367904366[/C][C]0.0321739313617731[/C][/ROW]
[ROW][C]0.26[/C][C]3.98390960898637[/C][C]0.0387165159359093[/C][/ROW]
[ROW][C]0.27[/C][C]3.99274202891366[/C][C]0.0454948273651935[/C][/ROW]
[ROW][C]0.28[/C][C]4.00290863949826[/C][C]0.0521103182222872[/C][/ROW]
[ROW][C]0.29[/C][C]4.01433497740882[/C][C]0.0581560752841784[/C][/ROW]
[ROW][C]0.3[/C][C]4.026866335239[/C][C]0.0632280187733603[/C][/ROW]
[ROW][C]0.31[/C][C]4.04028142255249[/C][C]0.0670516104840331[/C][/ROW]
[ROW][C]0.32[/C][C]4.05431606379296[/C][C]0.0694827852880687[/C][/ROW]
[ROW][C]0.33[/C][C]4.06869308347423[/C][C]0.070530956151765[/C][/ROW]
[ROW][C]0.34[/C][C]4.08315322994361[/C][C]0.0703595644803881[/C][/ROW]
[ROW][C]0.35[/C][C]4.09748184972315[/C][C]0.0692767071413537[/C][/ROW]
[ROW][C]0.36[/C][C]4.11152703351556[/C][C]0.0676360605747587[/C][/ROW]
[ROW][C]0.37[/C][C]4.12520680378155[/C][C]0.0658172106469408[/C][/ROW]
[ROW][C]0.38[/C][C]4.13850510810895[/C][C]0.0641575745323333[/C][/ROW]
[ROW][C]0.39[/C][C]4.15145839562328[/C][C]0.0628714751991871[/C][/ROW]
[ROW][C]0.4[/C][C]4.16413597116681[/C][C]0.0620774927885805[/C][/ROW]
[ROW][C]0.41[/C][C]4.17661793676384[/C][C]0.0617381629333214[/C][/ROW]
[ROW][C]0.42[/C][C]4.18897436299546[/C][C]0.0617203421288366[/C][/ROW]
[ROW][C]0.43[/C][C]4.20124858320515[/C][C]0.0618269295321672[/C][/ROW]
[ROW][C]0.44[/C][C]4.21344645234672[/C][C]0.0618192096064325[/C][/ROW]
[ROW][C]0.45[/C][C]4.22553232293611[/C][C]0.0614600858065996[/C][/ROW]
[ROW][C]0.46[/C][C]4.23743153911769[/C][C]0.0605626348297024[/C][/ROW]
[ROW][C]0.47[/C][C]4.24903850855018[/C][C]0.0589832814633751[/C][/ROW]
[ROW][C]0.48[/C][C]4.26022887927132[/C][C]0.056659697864516[/C][/ROW]
[ROW][C]0.49[/C][C]4.27087400202117[/C][C]0.0536072757382489[/C][/ROW]
[ROW][C]0.5[/C][C]4.28085569542682[/C][C]0.0499220074753356[/C][/ROW]
[ROW][C]0.51[/C][C]4.29007938042994[/C][C]0.0457603547681447[/C][/ROW]
[ROW][C]0.52[/C][C]4.29848394657199[/C][C]0.0413266302033881[/C][/ROW]
[ROW][C]0.53[/C][C]4.30604725739212[/C][C]0.0368393245906367[/C][/ROW]
[ROW][C]0.54[/C][C]4.31278693054651[/C][C]0.0325170284457793[/C][/ROW]
[ROW][C]0.55[/C][C]4.31875680728185[/C][C]0.0285561192283212[/C][/ROW]
[ROW][C]0.56[/C][C]4.32404018576157[/C][C]0.0250933251053854[/C][/ROW]
[ROW][C]0.57[/C][C]4.32874128035268[/C][C]0.0222276262949952[/C][/ROW]
[ROW][C]0.58[/C][C]4.3329764011156[/C][C]0.020006498194891[/C][/ROW]
[ROW][C]0.59[/C][C]4.3368660419426[/C][C]0.0184248393834396[/C][/ROW]
[ROW][C]0.6[/C][C]4.34052853650397[/C][C]0.0174539388462813[/C][/ROW]
[ROW][C]0.61[/C][C]4.34407536237951[/C][C]0.0170516070919256[/C][/ROW]
[ROW][C]0.62[/C][C]4.3476077217906[/C][C]0.0171399656631155[/C][/ROW]
[ROW][C]0.63[/C][C]4.35121382413725[/C][C]0.0176414537229005[/C][/ROW]
[ROW][C]0.64[/C][C]4.35496637231985[/C][C]0.0184626902799664[/C][/ROW]
[ROW][C]0.65[/C][C]4.35892004843162[/C][C]0.0195014370503522[/C][/ROW]
[ROW][C]0.66[/C][C]4.36310917645882[/C][C]0.0206397240742672[/C][/ROW]
[ROW][C]0.67[/C][C]4.36754606640886[/C][C]0.0217643841492362[/C][/ROW]
[ROW][C]0.68[/C][C]4.37222070768155[/C][C]0.0227559307382306[/C][/ROW]
[ROW][C]0.69[/C][C]4.37710243960683[/C][C]0.0235242942055618[/C][/ROW]
[ROW][C]0.7[/C][C]4.38214401588092[/C][C]0.023990869810238[/C][/ROW]
[ROW][C]0.71[/C][C]4.38728817779577[/C][C]0.0241280550281178[/C][/ROW]
[ROW][C]0.72[/C][C]4.39247655034851[/C][C]0.0239422881576114[/C][/ROW]
[ROW][C]0.73[/C][C]4.39766044180078[/C][C]0.0234861622564987[/C][/ROW]
[ROW][C]0.74[/C][C]4.40281297779758[/C][C]0.0228822887068966[/C][/ROW]
[ROW][C]0.75[/C][C]4.40794189505812[/C][C]0.0222874558598781[/C][/ROW]
[ROW][C]0.76[/C][C]4.41310216651572[/C][C]0.0219298731733677[/C][/ROW]
[ROW][C]0.77[/C][C]4.41840731466602[/C][C]0.0220711462441454[/C][/ROW]
[ROW][C]0.78[/C][C]4.42403770262705[/C][C]0.0230218703314494[/C][/ROW]
[ROW][C]0.79[/C][C]4.43024328761671[/C][C]0.0250666907988269[/C][/ROW]
[ROW][C]0.8[/C][C]4.43733750026909[/C][C]0.0284215000568957[/C][/ROW]
[ROW][C]0.81[/C][C]4.44567858252445[/C][C]0.0331788409953497[/C][/ROW]
[ROW][C]0.82[/C][C]4.45563563782815[/C][C]0.0392264446201221[/C][/ROW]
[ROW][C]0.83[/C][C]4.4675395785182[/C][C]0.046245666176045[/C][/ROW]
[ROW][C]0.84[/C][C]4.48162431318283[/C][C]0.0536809769417048[/C][/ROW]
[ROW][C]0.85[/C][C]4.49796988190492[/C][C]0.0607945999499724[/C][/ROW]
[ROW][C]0.86[/C][C]4.51646413775044[/C][C]0.0667663537039579[/C][/ROW]
[ROW][C]0.87[/C][C]4.53679914837485[/C][C]0.0708644460056739[/C][/ROW]
[ROW][C]0.88[/C][C]4.55850971789831[/C][C]0.0726353039529734[/C][/ROW]
[ROW][C]0.89[/C][C]4.58104521484871[/C][C]0.0720143583875875[/C][/ROW]
[ROW][C]0.9[/C][C]4.6038496213844[/C][C]0.0693133133875475[/C][/ROW]
[ROW][C]0.91[/C][C]4.62642097442186[/C][C]0.0650337435364148[/C][/ROW]
[ROW][C]0.92[/C][C]4.64833991502349[/C][C]0.0596212450185554[/C][/ROW]
[ROW][C]0.93[/C][C]4.66929118250766[/C][C]0.0533680006681373[/C][/ROW]
[ROW][C]0.94[/C][C]4.68911855319697[/C][C]0.0465934842222942[/C][/ROW]
[ROW][C]0.95[/C][C]4.70790628597034[/C][C]0.0399892634931342[/C][/ROW]
[ROW][C]0.96[/C][C]4.72596097451446[/C][C]0.0345214171564858[/C][/ROW]
[ROW][C]0.97[/C][C]4.7434813224296[/C][C]0.030211824264463[/C][/ROW]
[ROW][C]0.98[/C][C]4.75985391675351[/C][C]0.0248333136320248[/C][/ROW]
[ROW][C]0.99[/C][C]4.77300930137314[/C][C]0.0164676702971018[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212472&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212472&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
0.013.906019893769890.0139081035686494
0.023.912904663870350.00722089373756976
0.033.917370561845840.00314439778788657
0.043.919677040356760.00211556581188152
0.053.921131712092340.00317974402614859
0.063.922649165606870.00491409312843868
0.073.924600471838230.00665642202338617
0.083.927007907846440.00795807418251843
0.093.929716440943510.00858204393200834
0.13.932514686753410.00854661357209999
0.113.935219744722830.00806571443466921
0.123.937723159112750.00744358979082764
0.133.939997488382160.00693388892425484
0.143.942075699728110.00665700162890827
0.153.944022156085460.00663974292274328
0.163.945910383048250.00685218300993439
0.173.947813978234770.00730277752110188
0.183.949809096702950.00805491052368601
0.193.951983025873650.00923226710987488
0.23.954443194825720.0109833214457276
0.213.957322659255470.0134616703031724
0.223.960779950713720.0167878722168205
0.233.964992467339850.0210441500263618
0.243.970143470862070.0262122031178765
0.253.976403679043660.0321739313617731
0.263.983909608986370.0387165159359093
0.273.992742028913660.0454948273651935
0.284.002908639498260.0521103182222872
0.294.014334977408820.0581560752841784
0.34.0268663352390.0632280187733603
0.314.040281422552490.0670516104840331
0.324.054316063792960.0694827852880687
0.334.068693083474230.070530956151765
0.344.083153229943610.0703595644803881
0.354.097481849723150.0692767071413537
0.364.111527033515560.0676360605747587
0.374.125206803781550.0658172106469408
0.384.138505108108950.0641575745323333
0.394.151458395623280.0628714751991871
0.44.164135971166810.0620774927885805
0.414.176617936763840.0617381629333214
0.424.188974362995460.0617203421288366
0.434.201248583205150.0618269295321672
0.444.213446452346720.0618192096064325
0.454.225532322936110.0614600858065996
0.464.237431539117690.0605626348297024
0.474.249038508550180.0589832814633751
0.484.260228879271320.056659697864516
0.494.270874002021170.0536072757382489
0.54.280855695426820.0499220074753356
0.514.290079380429940.0457603547681447
0.524.298483946571990.0413266302033881
0.534.306047257392120.0368393245906367
0.544.312786930546510.0325170284457793
0.554.318756807281850.0285561192283212
0.564.324040185761570.0250933251053854
0.574.328741280352680.0222276262949952
0.584.33297640111560.020006498194891
0.594.33686604194260.0184248393834396
0.64.340528536503970.0174539388462813
0.614.344075362379510.0170516070919256
0.624.34760772179060.0171399656631155
0.634.351213824137250.0176414537229005
0.644.354966372319850.0184626902799664
0.654.358920048431620.0195014370503522
0.664.363109176458820.0206397240742672
0.674.367546066408860.0217643841492362
0.684.372220707681550.0227559307382306
0.694.377102439606830.0235242942055618
0.74.382144015880920.023990869810238
0.714.387288177795770.0241280550281178
0.724.392476550348510.0239422881576114
0.734.397660441800780.0234861622564987
0.744.402812977797580.0228822887068966
0.754.407941895058120.0222874558598781
0.764.413102166515720.0219298731733677
0.774.418407314666020.0220711462441454
0.784.424037702627050.0230218703314494
0.794.430243287616710.0250666907988269
0.84.437337500269090.0284215000568957
0.814.445678582524450.0331788409953497
0.824.455635637828150.0392264446201221
0.834.46753957851820.046245666176045
0.844.481624313182830.0536809769417048
0.854.497969881904920.0607945999499724
0.864.516464137750440.0667663537039579
0.874.536799148374850.0708644460056739
0.884.558509717898310.0726353039529734
0.894.581045214848710.0720143583875875
0.94.60384962138440.0693133133875475
0.914.626420974421860.0650337435364148
0.924.648339915023490.0596212450185554
0.934.669291182507660.0533680006681373
0.944.689118553196970.0465934842222942
0.954.707906285970340.0399892634931342
0.964.725960974514460.0345214171564858
0.974.74348132242960.030211824264463
0.984.759853916753510.0248333136320248
0.994.773009301373140.0164676702971018



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')