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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 04 Oct 2013 11:02:47 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/04/t1380898993dzbn14xaczyxubn.htm/, Retrieved Sun, 28 Apr 2024 19:19:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213195, Retrieved Sun, 28 Apr 2024 19:19:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact76
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2013-10-04 15:02:47] [a1de13929df8f72ca0bba4a56316571d] [Current]
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Dataseries X:
3.875
3.863
3.876
3.878
3.881
3.883
3.884
3.885
3.895
3.903
3.911
3.929
3.946
3.965
3.992
4.010
4.015
4.020
4.037
4.059
4.083
4.102
4.126
4.145
4.162
4.169
4.178
4.174
4.168
4.170
4.159
4.159
4.143
4.159
4.167
4.176
4.185
4.195
4.210
4.226
4.250
4.259
4.270
4.277
4.286
4.303
4.320
4.336
4.352
4.371
4.392
4.415
4.442
4.457
4.472
4.474
4.461
4.453
4.446
4.450
4.459
4.474
4.492
4.509
4.526
4.541
4.550
4.562
4.555
4.554
4.551
4.553




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213195&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213195&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213195&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 Maurice George Kendall' @ kendall.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.013.866149646352250.00926835918323742
0.023.870280863108670.0062241373735591
0.033.873827818817970.00428692106290178
0.043.87648377953580.00379772446410009
0.053.87860332140360.00424965850684756
0.063.880606833623970.00529190954807578
0.073.882803971002590.00693312267664216
0.083.88542286668180.00927711873744761
0.093.888656634837230.0123465978734241
0.13.892675696529050.0160788048125296
0.113.897617238864850.0203260005252169
0.123.90357025504560.0249008532705638
0.133.91056591144350.0295703531987835
0.143.918575694702760.0341044957827825
0.153.927516698566570.0382768683129904
0.163.937262787828690.0419119732992629
0.173.947660281361090.0449024817633901
0.183.958546298394240.0472211102266775
0.193.969767090998240.0489441361274482
0.23.981193134326740.050210194263017
0.213.992728011306690.0511899824348299
0.224.004309353337310.0520501849299592
0.234.015901965305710.0528759089067551
0.244.02748517168590.0536891050824794
0.254.039037763101180.0543817027421619
0.264.05052431819610.0548303547586456
0.274.061886078421170.0548392754962981
0.284.073038223970860.0542543288163639
0.294.083873775415370.0529646416698328
0.34.094272880021660.0509151938008778
0.314.104115267440750.0481642334302532
0.324.11329332112170.0448072641865908
0.334.121723467847660.0410091463773732
0.344.129354263600570.03696060073384
0.354.136170417269830.0328761071933668
0.364.142192824127080.0289254887432775
0.374.147475317103430.0252981612495218
0.384.152099203254990.0221333874941177
0.394.156166728660050.0195304746003975
0.44.159794458500380.0175730204433772
0.414.163107255217260.0163145298435524
0.424.166233181551570.0157693348669042
0.434.169299332922330.0159486928942472
0.444.1724283782890.016809383863966
0.454.175735493866720.0182958540479902
0.464.179325411891120.0203199480394274
0.474.183289450931410.0227898813276096
0.484.187702597734360.0256058326738572
0.494.192620914704020.0286389993774184
0.54.198079693730930.0317676033895898
0.514.204092820322020.0348602367656852
0.524.210653728548020.0378161232141627
0.534.217738122904910.0405275706758658
0.544.225308353062670.0429417363973055
0.554.233319010280880.0450355239436828
0.564.241723039469940.0468171840149902
0.574.250477492549470.0483384298739286
0.584.259548029815440.0496658639427356
0.594.268911417465720.0508879658317815
0.64.278555548029340.0520683189050795
0.614.288476875808040.0532617435392264
0.624.298675548028950.0544809443163885
0.634.309148863567720.0556931271522406
0.644.319883959374080.0568184709834556
0.654.330850784345910.0577592132610224
0.664.341996461420230.0583672403181194
0.674.353242058358380.0584965943214399
0.684.364482583428860.0580139368613469
0.694.375590691481120.0568127722205546
0.74.386424136119890.0548366979401016
0.714.396836467430720.0520799709968611
0.724.406689922242020.0486185880989609
0.734.415868992231770.0445977028463868
0.744.424292906957910.0402174980563681
0.754.431925332872020.0357134724819285
0.764.438779994200070.0313550803327775
0.774.444921592232450.0273903136247308
0.784.45046215689190.0240465005949479
0.794.455553569762460.0215148902023849
0.84.460377238546790.0199076346782188
0.814.465131694899920.0192798030621336
0.824.470018351346050.0195869295167055
0.834.475225118576850.0206900490905974
0.844.480907494180360.0223731964127891
0.854.487167453132280.024338495408056
0.864.494032067111430.0262312759564442
0.874.501435870120520.0276704435924492
0.884.509212742266880.0282843376233866
0.894.51710343537890.0277828551954658
0.94.524782899529510.0260218233268646
0.914.531907031650520.0230685659634377
0.924.53817228809510.0192079804601268
0.934.543376256383080.0149051499609644
0.944.547466306631370.0107092865688286
0.954.550568541816660.00713619949563014
0.964.552993064020780.00458452983656996
0.974.555190700745060.00342916571742313
0.984.55757498170790.00393232648413165
0.994.56011967806850.00549703483585276

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3.86614964635225 & 0.00926835918323742 \tabularnewline
0.02 & 3.87028086310867 & 0.0062241373735591 \tabularnewline
0.03 & 3.87382781881797 & 0.00428692106290178 \tabularnewline
0.04 & 3.8764837795358 & 0.00379772446410009 \tabularnewline
0.05 & 3.8786033214036 & 0.00424965850684756 \tabularnewline
0.06 & 3.88060683362397 & 0.00529190954807578 \tabularnewline
0.07 & 3.88280397100259 & 0.00693312267664216 \tabularnewline
0.08 & 3.8854228666818 & 0.00927711873744761 \tabularnewline
0.09 & 3.88865663483723 & 0.0123465978734241 \tabularnewline
0.1 & 3.89267569652905 & 0.0160788048125296 \tabularnewline
0.11 & 3.89761723886485 & 0.0203260005252169 \tabularnewline
0.12 & 3.9035702550456 & 0.0249008532705638 \tabularnewline
0.13 & 3.9105659114435 & 0.0295703531987835 \tabularnewline
0.14 & 3.91857569470276 & 0.0341044957827825 \tabularnewline
0.15 & 3.92751669856657 & 0.0382768683129904 \tabularnewline
0.16 & 3.93726278782869 & 0.0419119732992629 \tabularnewline
0.17 & 3.94766028136109 & 0.0449024817633901 \tabularnewline
0.18 & 3.95854629839424 & 0.0472211102266775 \tabularnewline
0.19 & 3.96976709099824 & 0.0489441361274482 \tabularnewline
0.2 & 3.98119313432674 & 0.050210194263017 \tabularnewline
0.21 & 3.99272801130669 & 0.0511899824348299 \tabularnewline
0.22 & 4.00430935333731 & 0.0520501849299592 \tabularnewline
0.23 & 4.01590196530571 & 0.0528759089067551 \tabularnewline
0.24 & 4.0274851716859 & 0.0536891050824794 \tabularnewline
0.25 & 4.03903776310118 & 0.0543817027421619 \tabularnewline
0.26 & 4.0505243181961 & 0.0548303547586456 \tabularnewline
0.27 & 4.06188607842117 & 0.0548392754962981 \tabularnewline
0.28 & 4.07303822397086 & 0.0542543288163639 \tabularnewline
0.29 & 4.08387377541537 & 0.0529646416698328 \tabularnewline
0.3 & 4.09427288002166 & 0.0509151938008778 \tabularnewline
0.31 & 4.10411526744075 & 0.0481642334302532 \tabularnewline
0.32 & 4.1132933211217 & 0.0448072641865908 \tabularnewline
0.33 & 4.12172346784766 & 0.0410091463773732 \tabularnewline
0.34 & 4.12935426360057 & 0.03696060073384 \tabularnewline
0.35 & 4.13617041726983 & 0.0328761071933668 \tabularnewline
0.36 & 4.14219282412708 & 0.0289254887432775 \tabularnewline
0.37 & 4.14747531710343 & 0.0252981612495218 \tabularnewline
0.38 & 4.15209920325499 & 0.0221333874941177 \tabularnewline
0.39 & 4.15616672866005 & 0.0195304746003975 \tabularnewline
0.4 & 4.15979445850038 & 0.0175730204433772 \tabularnewline
0.41 & 4.16310725521726 & 0.0163145298435524 \tabularnewline
0.42 & 4.16623318155157 & 0.0157693348669042 \tabularnewline
0.43 & 4.16929933292233 & 0.0159486928942472 \tabularnewline
0.44 & 4.172428378289 & 0.016809383863966 \tabularnewline
0.45 & 4.17573549386672 & 0.0182958540479902 \tabularnewline
0.46 & 4.17932541189112 & 0.0203199480394274 \tabularnewline
0.47 & 4.18328945093141 & 0.0227898813276096 \tabularnewline
0.48 & 4.18770259773436 & 0.0256058326738572 \tabularnewline
0.49 & 4.19262091470402 & 0.0286389993774184 \tabularnewline
0.5 & 4.19807969373093 & 0.0317676033895898 \tabularnewline
0.51 & 4.20409282032202 & 0.0348602367656852 \tabularnewline
0.52 & 4.21065372854802 & 0.0378161232141627 \tabularnewline
0.53 & 4.21773812290491 & 0.0405275706758658 \tabularnewline
0.54 & 4.22530835306267 & 0.0429417363973055 \tabularnewline
0.55 & 4.23331901028088 & 0.0450355239436828 \tabularnewline
0.56 & 4.24172303946994 & 0.0468171840149902 \tabularnewline
0.57 & 4.25047749254947 & 0.0483384298739286 \tabularnewline
0.58 & 4.25954802981544 & 0.0496658639427356 \tabularnewline
0.59 & 4.26891141746572 & 0.0508879658317815 \tabularnewline
0.6 & 4.27855554802934 & 0.0520683189050795 \tabularnewline
0.61 & 4.28847687580804 & 0.0532617435392264 \tabularnewline
0.62 & 4.29867554802895 & 0.0544809443163885 \tabularnewline
0.63 & 4.30914886356772 & 0.0556931271522406 \tabularnewline
0.64 & 4.31988395937408 & 0.0568184709834556 \tabularnewline
0.65 & 4.33085078434591 & 0.0577592132610224 \tabularnewline
0.66 & 4.34199646142023 & 0.0583672403181194 \tabularnewline
0.67 & 4.35324205835838 & 0.0584965943214399 \tabularnewline
0.68 & 4.36448258342886 & 0.0580139368613469 \tabularnewline
0.69 & 4.37559069148112 & 0.0568127722205546 \tabularnewline
0.7 & 4.38642413611989 & 0.0548366979401016 \tabularnewline
0.71 & 4.39683646743072 & 0.0520799709968611 \tabularnewline
0.72 & 4.40668992224202 & 0.0486185880989609 \tabularnewline
0.73 & 4.41586899223177 & 0.0445977028463868 \tabularnewline
0.74 & 4.42429290695791 & 0.0402174980563681 \tabularnewline
0.75 & 4.43192533287202 & 0.0357134724819285 \tabularnewline
0.76 & 4.43877999420007 & 0.0313550803327775 \tabularnewline
0.77 & 4.44492159223245 & 0.0273903136247308 \tabularnewline
0.78 & 4.4504621568919 & 0.0240465005949479 \tabularnewline
0.79 & 4.45555356976246 & 0.0215148902023849 \tabularnewline
0.8 & 4.46037723854679 & 0.0199076346782188 \tabularnewline
0.81 & 4.46513169489992 & 0.0192798030621336 \tabularnewline
0.82 & 4.47001835134605 & 0.0195869295167055 \tabularnewline
0.83 & 4.47522511857685 & 0.0206900490905974 \tabularnewline
0.84 & 4.48090749418036 & 0.0223731964127891 \tabularnewline
0.85 & 4.48716745313228 & 0.024338495408056 \tabularnewline
0.86 & 4.49403206711143 & 0.0262312759564442 \tabularnewline
0.87 & 4.50143587012052 & 0.0276704435924492 \tabularnewline
0.88 & 4.50921274226688 & 0.0282843376233866 \tabularnewline
0.89 & 4.5171034353789 & 0.0277828551954658 \tabularnewline
0.9 & 4.52478289952951 & 0.0260218233268646 \tabularnewline
0.91 & 4.53190703165052 & 0.0230685659634377 \tabularnewline
0.92 & 4.5381722880951 & 0.0192079804601268 \tabularnewline
0.93 & 4.54337625638308 & 0.0149051499609644 \tabularnewline
0.94 & 4.54746630663137 & 0.0107092865688286 \tabularnewline
0.95 & 4.55056854181666 & 0.00713619949563014 \tabularnewline
0.96 & 4.55299306402078 & 0.00458452983656996 \tabularnewline
0.97 & 4.55519070074506 & 0.00342916571742313 \tabularnewline
0.98 & 4.5575749817079 & 0.00393232648413165 \tabularnewline
0.99 & 4.5601196780685 & 0.00549703483585276 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213195&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]3.86614964635225[/C][C]0.00926835918323742[/C][/ROW]
[ROW][C]0.02[/C][C]3.87028086310867[/C][C]0.0062241373735591[/C][/ROW]
[ROW][C]0.03[/C][C]3.87382781881797[/C][C]0.00428692106290178[/C][/ROW]
[ROW][C]0.04[/C][C]3.8764837795358[/C][C]0.00379772446410009[/C][/ROW]
[ROW][C]0.05[/C][C]3.8786033214036[/C][C]0.00424965850684756[/C][/ROW]
[ROW][C]0.06[/C][C]3.88060683362397[/C][C]0.00529190954807578[/C][/ROW]
[ROW][C]0.07[/C][C]3.88280397100259[/C][C]0.00693312267664216[/C][/ROW]
[ROW][C]0.08[/C][C]3.8854228666818[/C][C]0.00927711873744761[/C][/ROW]
[ROW][C]0.09[/C][C]3.88865663483723[/C][C]0.0123465978734241[/C][/ROW]
[ROW][C]0.1[/C][C]3.89267569652905[/C][C]0.0160788048125296[/C][/ROW]
[ROW][C]0.11[/C][C]3.89761723886485[/C][C]0.0203260005252169[/C][/ROW]
[ROW][C]0.12[/C][C]3.9035702550456[/C][C]0.0249008532705638[/C][/ROW]
[ROW][C]0.13[/C][C]3.9105659114435[/C][C]0.0295703531987835[/C][/ROW]
[ROW][C]0.14[/C][C]3.91857569470276[/C][C]0.0341044957827825[/C][/ROW]
[ROW][C]0.15[/C][C]3.92751669856657[/C][C]0.0382768683129904[/C][/ROW]
[ROW][C]0.16[/C][C]3.93726278782869[/C][C]0.0419119732992629[/C][/ROW]
[ROW][C]0.17[/C][C]3.94766028136109[/C][C]0.0449024817633901[/C][/ROW]
[ROW][C]0.18[/C][C]3.95854629839424[/C][C]0.0472211102266775[/C][/ROW]
[ROW][C]0.19[/C][C]3.96976709099824[/C][C]0.0489441361274482[/C][/ROW]
[ROW][C]0.2[/C][C]3.98119313432674[/C][C]0.050210194263017[/C][/ROW]
[ROW][C]0.21[/C][C]3.99272801130669[/C][C]0.0511899824348299[/C][/ROW]
[ROW][C]0.22[/C][C]4.00430935333731[/C][C]0.0520501849299592[/C][/ROW]
[ROW][C]0.23[/C][C]4.01590196530571[/C][C]0.0528759089067551[/C][/ROW]
[ROW][C]0.24[/C][C]4.0274851716859[/C][C]0.0536891050824794[/C][/ROW]
[ROW][C]0.25[/C][C]4.03903776310118[/C][C]0.0543817027421619[/C][/ROW]
[ROW][C]0.26[/C][C]4.0505243181961[/C][C]0.0548303547586456[/C][/ROW]
[ROW][C]0.27[/C][C]4.06188607842117[/C][C]0.0548392754962981[/C][/ROW]
[ROW][C]0.28[/C][C]4.07303822397086[/C][C]0.0542543288163639[/C][/ROW]
[ROW][C]0.29[/C][C]4.08387377541537[/C][C]0.0529646416698328[/C][/ROW]
[ROW][C]0.3[/C][C]4.09427288002166[/C][C]0.0509151938008778[/C][/ROW]
[ROW][C]0.31[/C][C]4.10411526744075[/C][C]0.0481642334302532[/C][/ROW]
[ROW][C]0.32[/C][C]4.1132933211217[/C][C]0.0448072641865908[/C][/ROW]
[ROW][C]0.33[/C][C]4.12172346784766[/C][C]0.0410091463773732[/C][/ROW]
[ROW][C]0.34[/C][C]4.12935426360057[/C][C]0.03696060073384[/C][/ROW]
[ROW][C]0.35[/C][C]4.13617041726983[/C][C]0.0328761071933668[/C][/ROW]
[ROW][C]0.36[/C][C]4.14219282412708[/C][C]0.0289254887432775[/C][/ROW]
[ROW][C]0.37[/C][C]4.14747531710343[/C][C]0.0252981612495218[/C][/ROW]
[ROW][C]0.38[/C][C]4.15209920325499[/C][C]0.0221333874941177[/C][/ROW]
[ROW][C]0.39[/C][C]4.15616672866005[/C][C]0.0195304746003975[/C][/ROW]
[ROW][C]0.4[/C][C]4.15979445850038[/C][C]0.0175730204433772[/C][/ROW]
[ROW][C]0.41[/C][C]4.16310725521726[/C][C]0.0163145298435524[/C][/ROW]
[ROW][C]0.42[/C][C]4.16623318155157[/C][C]0.0157693348669042[/C][/ROW]
[ROW][C]0.43[/C][C]4.16929933292233[/C][C]0.0159486928942472[/C][/ROW]
[ROW][C]0.44[/C][C]4.172428378289[/C][C]0.016809383863966[/C][/ROW]
[ROW][C]0.45[/C][C]4.17573549386672[/C][C]0.0182958540479902[/C][/ROW]
[ROW][C]0.46[/C][C]4.17932541189112[/C][C]0.0203199480394274[/C][/ROW]
[ROW][C]0.47[/C][C]4.18328945093141[/C][C]0.0227898813276096[/C][/ROW]
[ROW][C]0.48[/C][C]4.18770259773436[/C][C]0.0256058326738572[/C][/ROW]
[ROW][C]0.49[/C][C]4.19262091470402[/C][C]0.0286389993774184[/C][/ROW]
[ROW][C]0.5[/C][C]4.19807969373093[/C][C]0.0317676033895898[/C][/ROW]
[ROW][C]0.51[/C][C]4.20409282032202[/C][C]0.0348602367656852[/C][/ROW]
[ROW][C]0.52[/C][C]4.21065372854802[/C][C]0.0378161232141627[/C][/ROW]
[ROW][C]0.53[/C][C]4.21773812290491[/C][C]0.0405275706758658[/C][/ROW]
[ROW][C]0.54[/C][C]4.22530835306267[/C][C]0.0429417363973055[/C][/ROW]
[ROW][C]0.55[/C][C]4.23331901028088[/C][C]0.0450355239436828[/C][/ROW]
[ROW][C]0.56[/C][C]4.24172303946994[/C][C]0.0468171840149902[/C][/ROW]
[ROW][C]0.57[/C][C]4.25047749254947[/C][C]0.0483384298739286[/C][/ROW]
[ROW][C]0.58[/C][C]4.25954802981544[/C][C]0.0496658639427356[/C][/ROW]
[ROW][C]0.59[/C][C]4.26891141746572[/C][C]0.0508879658317815[/C][/ROW]
[ROW][C]0.6[/C][C]4.27855554802934[/C][C]0.0520683189050795[/C][/ROW]
[ROW][C]0.61[/C][C]4.28847687580804[/C][C]0.0532617435392264[/C][/ROW]
[ROW][C]0.62[/C][C]4.29867554802895[/C][C]0.0544809443163885[/C][/ROW]
[ROW][C]0.63[/C][C]4.30914886356772[/C][C]0.0556931271522406[/C][/ROW]
[ROW][C]0.64[/C][C]4.31988395937408[/C][C]0.0568184709834556[/C][/ROW]
[ROW][C]0.65[/C][C]4.33085078434591[/C][C]0.0577592132610224[/C][/ROW]
[ROW][C]0.66[/C][C]4.34199646142023[/C][C]0.0583672403181194[/C][/ROW]
[ROW][C]0.67[/C][C]4.35324205835838[/C][C]0.0584965943214399[/C][/ROW]
[ROW][C]0.68[/C][C]4.36448258342886[/C][C]0.0580139368613469[/C][/ROW]
[ROW][C]0.69[/C][C]4.37559069148112[/C][C]0.0568127722205546[/C][/ROW]
[ROW][C]0.7[/C][C]4.38642413611989[/C][C]0.0548366979401016[/C][/ROW]
[ROW][C]0.71[/C][C]4.39683646743072[/C][C]0.0520799709968611[/C][/ROW]
[ROW][C]0.72[/C][C]4.40668992224202[/C][C]0.0486185880989609[/C][/ROW]
[ROW][C]0.73[/C][C]4.41586899223177[/C][C]0.0445977028463868[/C][/ROW]
[ROW][C]0.74[/C][C]4.42429290695791[/C][C]0.0402174980563681[/C][/ROW]
[ROW][C]0.75[/C][C]4.43192533287202[/C][C]0.0357134724819285[/C][/ROW]
[ROW][C]0.76[/C][C]4.43877999420007[/C][C]0.0313550803327775[/C][/ROW]
[ROW][C]0.77[/C][C]4.44492159223245[/C][C]0.0273903136247308[/C][/ROW]
[ROW][C]0.78[/C][C]4.4504621568919[/C][C]0.0240465005949479[/C][/ROW]
[ROW][C]0.79[/C][C]4.45555356976246[/C][C]0.0215148902023849[/C][/ROW]
[ROW][C]0.8[/C][C]4.46037723854679[/C][C]0.0199076346782188[/C][/ROW]
[ROW][C]0.81[/C][C]4.46513169489992[/C][C]0.0192798030621336[/C][/ROW]
[ROW][C]0.82[/C][C]4.47001835134605[/C][C]0.0195869295167055[/C][/ROW]
[ROW][C]0.83[/C][C]4.47522511857685[/C][C]0.0206900490905974[/C][/ROW]
[ROW][C]0.84[/C][C]4.48090749418036[/C][C]0.0223731964127891[/C][/ROW]
[ROW][C]0.85[/C][C]4.48716745313228[/C][C]0.024338495408056[/C][/ROW]
[ROW][C]0.86[/C][C]4.49403206711143[/C][C]0.0262312759564442[/C][/ROW]
[ROW][C]0.87[/C][C]4.50143587012052[/C][C]0.0276704435924492[/C][/ROW]
[ROW][C]0.88[/C][C]4.50921274226688[/C][C]0.0282843376233866[/C][/ROW]
[ROW][C]0.89[/C][C]4.5171034353789[/C][C]0.0277828551954658[/C][/ROW]
[ROW][C]0.9[/C][C]4.52478289952951[/C][C]0.0260218233268646[/C][/ROW]
[ROW][C]0.91[/C][C]4.53190703165052[/C][C]0.0230685659634377[/C][/ROW]
[ROW][C]0.92[/C][C]4.5381722880951[/C][C]0.0192079804601268[/C][/ROW]
[ROW][C]0.93[/C][C]4.54337625638308[/C][C]0.0149051499609644[/C][/ROW]
[ROW][C]0.94[/C][C]4.54746630663137[/C][C]0.0107092865688286[/C][/ROW]
[ROW][C]0.95[/C][C]4.55056854181666[/C][C]0.00713619949563014[/C][/ROW]
[ROW][C]0.96[/C][C]4.55299306402078[/C][C]0.00458452983656996[/C][/ROW]
[ROW][C]0.97[/C][C]4.55519070074506[/C][C]0.00342916571742313[/C][/ROW]
[ROW][C]0.98[/C][C]4.5575749817079[/C][C]0.00393232648413165[/C][/ROW]
[ROW][C]0.99[/C][C]4.5601196780685[/C][C]0.00549703483585276[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213195&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213195&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
0.013.866149646352250.00926835918323742
0.023.870280863108670.0062241373735591
0.033.873827818817970.00428692106290178
0.043.87648377953580.00379772446410009
0.053.87860332140360.00424965850684756
0.063.880606833623970.00529190954807578
0.073.882803971002590.00693312267664216
0.083.88542286668180.00927711873744761
0.093.888656634837230.0123465978734241
0.13.892675696529050.0160788048125296
0.113.897617238864850.0203260005252169
0.123.90357025504560.0249008532705638
0.133.91056591144350.0295703531987835
0.143.918575694702760.0341044957827825
0.153.927516698566570.0382768683129904
0.163.937262787828690.0419119732992629
0.173.947660281361090.0449024817633901
0.183.958546298394240.0472211102266775
0.193.969767090998240.0489441361274482
0.23.981193134326740.050210194263017
0.213.992728011306690.0511899824348299
0.224.004309353337310.0520501849299592
0.234.015901965305710.0528759089067551
0.244.02748517168590.0536891050824794
0.254.039037763101180.0543817027421619
0.264.05052431819610.0548303547586456
0.274.061886078421170.0548392754962981
0.284.073038223970860.0542543288163639
0.294.083873775415370.0529646416698328
0.34.094272880021660.0509151938008778
0.314.104115267440750.0481642334302532
0.324.11329332112170.0448072641865908
0.334.121723467847660.0410091463773732
0.344.129354263600570.03696060073384
0.354.136170417269830.0328761071933668
0.364.142192824127080.0289254887432775
0.374.147475317103430.0252981612495218
0.384.152099203254990.0221333874941177
0.394.156166728660050.0195304746003975
0.44.159794458500380.0175730204433772
0.414.163107255217260.0163145298435524
0.424.166233181551570.0157693348669042
0.434.169299332922330.0159486928942472
0.444.1724283782890.016809383863966
0.454.175735493866720.0182958540479902
0.464.179325411891120.0203199480394274
0.474.183289450931410.0227898813276096
0.484.187702597734360.0256058326738572
0.494.192620914704020.0286389993774184
0.54.198079693730930.0317676033895898
0.514.204092820322020.0348602367656852
0.524.210653728548020.0378161232141627
0.534.217738122904910.0405275706758658
0.544.225308353062670.0429417363973055
0.554.233319010280880.0450355239436828
0.564.241723039469940.0468171840149902
0.574.250477492549470.0483384298739286
0.584.259548029815440.0496658639427356
0.594.268911417465720.0508879658317815
0.64.278555548029340.0520683189050795
0.614.288476875808040.0532617435392264
0.624.298675548028950.0544809443163885
0.634.309148863567720.0556931271522406
0.644.319883959374080.0568184709834556
0.654.330850784345910.0577592132610224
0.664.341996461420230.0583672403181194
0.674.353242058358380.0584965943214399
0.684.364482583428860.0580139368613469
0.694.375590691481120.0568127722205546
0.74.386424136119890.0548366979401016
0.714.396836467430720.0520799709968611
0.724.406689922242020.0486185880989609
0.734.415868992231770.0445977028463868
0.744.424292906957910.0402174980563681
0.754.431925332872020.0357134724819285
0.764.438779994200070.0313550803327775
0.774.444921592232450.0273903136247308
0.784.45046215689190.0240465005949479
0.794.455553569762460.0215148902023849
0.84.460377238546790.0199076346782188
0.814.465131694899920.0192798030621336
0.824.470018351346050.0195869295167055
0.834.475225118576850.0206900490905974
0.844.480907494180360.0223731964127891
0.854.487167453132280.024338495408056
0.864.494032067111430.0262312759564442
0.874.501435870120520.0276704435924492
0.884.509212742266880.0282843376233866
0.894.51710343537890.0277828551954658
0.94.524782899529510.0260218233268646
0.914.531907031650520.0230685659634377
0.924.53817228809510.0192079804601268
0.934.543376256383080.0149051499609644
0.944.547466306631370.0107092865688286
0.954.550568541816660.00713619949563014
0.964.552993064020780.00458452983656996
0.974.555190700745060.00342916571742313
0.984.55757498170790.00393232648413165
0.994.56011967806850.00549703483585276



Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.99'
par1 <- '0.01'
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')