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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 computationTue, 14 Oct 2008 07:43:10 -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/2008/Oct/14/t1223991864cjipupaguuidb9n.htm/, Retrieved Sun, 19 May 2024 16:33:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16238, Retrieved Sun, 19 May 2024 16:33:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138

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] [percentielen opga...] [2008-10-14 13:43:10] [aa953cee67007b6ac752bcbbd195d3a5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9.026
9.787
9.536
9.490
9.736
9.694
9.647
9.753
10.070
10.137
9.984
9.732
9.103
9.155
9.308
9.394
9.948
10.177
10.002
9.728
10.002
10.063
10.018
9.960
10.236
10.893
10.756
10.940
10.997
10.827
10.166
10.186
10.457
10.368
10.244
10.511
10.812
10.738
10.171
9.721
9.897
9.828
9.924
10.371
10.846
10.413
10.709
10.662
10.570
10.297
10.635
10.872
10.296
10.383
10.431
10.574
10.653
10.805
10.872
10.625
10.407
10.463
10.556
10.646
10.702
11.353
11.346
11.451
11.964
12.574
13.031
13.812
14.544
14.931
14.886
16.005
17.064
15.168
16.050
15.839
15.137
14.954
15.648
15.305

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16238&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16238&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16238&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019.061173711781130.0802621282972342
0.029.121137108052830.104561629916374
0.039.193026293249650.134505723116839
0.049.269556398723570.153434399317310
0.059.345723185215970.159087255624586
0.069.41758158330160.155655690364395
0.079.482663412656270.146877770661577
0.089.53988438569050.134567715540500
0.099.589057088718880.119835868611287
0.19.630558923759660.104252059972100
0.119.66523239985630.0899463326964507
0.129.694335374187410.079084705359317
0.139.719405138557840.0731973331913576
0.149.742030891553150.0725077935809924
0.159.763607718265950.0758467870020133
0.169.785151812427550.0812939267451705
0.179.807221933200130.0870021365187472
0.189.829949439385870.0915859506442872
0.199.853148106404970.0942872980494364
0.29.87646111751590.094924250334175
0.219.899503949235530.0938595483096082
0.229.921973030882480.0917512678910541
0.239.943705375725090.0894151809319602
0.249.964689120814770.0874938705630313
0.259.985035872021380.0864816549456521
0.2610.00493145383820.0865183676955427
0.2710.02458219389420.0874858646461316
0.2810.04417042228140.0890885905846136
0.2910.06382717324340.0909996997314153
0.310.08362392312340.092857471459829
0.3110.10358005902070.0944964216287692
0.3210.12367961286640.0958473413187437
0.3310.14388998037270.0969583880114454
0.3410.16417664376020.0978745657957384
0.3510.18451061848290.098677661959302
0.3610.20486846735580.0994098216949821
0.3710.22522730423140.100035891274976
0.3810.24555855866510.100464966863772
0.3910.26582415858380.100601911900014
0.410.28597744511560.100365521667760
0.4110.30596914020320.0997794757182688
0.4210.32575674649640.0988666967579426
0.4310.34531447262700.0977977917872535
0.4410.36464048301860.096765611684643
0.4510.38375898092760.095918731346137
0.4610.40271607060110.0953777329961518
0.4710.42157005879890.095223344669028
0.4810.44037836378720.0953763661198483
0.4910.45918411348120.0957193850273084
0.510.47800562875600.096046784335361
0.5110.49683131218860.0961698649851956
0.5210.51562119643030.0959104998230324
0.5310.53431487607680.095184592169663
0.5410.55284411914510.0939770689551886
0.5510.57114745240910.0923711623719482
0.5610.58918365370090.090542954426958
0.5710.60694143557750.0886867449865056
0.5810.62444359527100.0870128567155905
0.5910.64174534294340.0857064805683365
0.610.65892813473920.0848944634309578
0.6110.67609183260190.0846094546892989
0.6210.69334911260280.0848745237205935
0.6310.71082652972570.0856683355228848
0.6410.72867639050650.0870637507345067
0.6510.74710256731880.0892610677336786
0.6610.76640171709300.0927051362737649
0.6710.78701928009920.0981815086544427
0.6810.80961747524020.106820297315352
0.6910.83515065489610.120125215289572
0.710.86494210261000.139852167889359
0.7110.90075560691480.167949132328793
0.7210.94485438646780.206360691638085
0.7311.00003813354060.256960246310225
0.7411.06964488306530.321536858779253
0.7511.15749753318310.401417343794801
0.7611.26776630019860.497290235388814
0.7711.40471200985570.608515789566987
0.7811.57227745286880.73263815834029
0.7911.77351282700290.864670118130624
0.812.00986221593400.99669384600529
0.8112.28040012009921.11803181365114
0.8212.58117831711931.21599182290724
0.8312.90489933893771.27762006169478
0.8413.24114059737731.29214745200238
0.8513.57728242330411.25374384043217
0.8613.90013384953091.16382748813169
0.8714.19802815839161.03208372282494
0.8814.46294231164140.875519903964587
0.8914.69206751042460.715525893775117
0.914.88829245318040.573614369445971
0.9115.05927714586060.466703394780628
0.9215.21516993420570.401919157767906
0.9315.36554375814640.371879337582858
0.9415.51689264016110.356950944889642
0.9515.67321757304790.337200350998834
0.9615.84329632776920.308856541046540
0.9716.05464400435960.311195114140074
0.9816.35430307773620.443019487102093
0.9916.74501985107530.731313452450104

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.06117371178113 & 0.0802621282972342 \tabularnewline
0.02 & 9.12113710805283 & 0.104561629916374 \tabularnewline
0.03 & 9.19302629324965 & 0.134505723116839 \tabularnewline
0.04 & 9.26955639872357 & 0.153434399317310 \tabularnewline
0.05 & 9.34572318521597 & 0.159087255624586 \tabularnewline
0.06 & 9.4175815833016 & 0.155655690364395 \tabularnewline
0.07 & 9.48266341265627 & 0.146877770661577 \tabularnewline
0.08 & 9.5398843856905 & 0.134567715540500 \tabularnewline
0.09 & 9.58905708871888 & 0.119835868611287 \tabularnewline
0.1 & 9.63055892375966 & 0.104252059972100 \tabularnewline
0.11 & 9.6652323998563 & 0.0899463326964507 \tabularnewline
0.12 & 9.69433537418741 & 0.079084705359317 \tabularnewline
0.13 & 9.71940513855784 & 0.0731973331913576 \tabularnewline
0.14 & 9.74203089155315 & 0.0725077935809924 \tabularnewline
0.15 & 9.76360771826595 & 0.0758467870020133 \tabularnewline
0.16 & 9.78515181242755 & 0.0812939267451705 \tabularnewline
0.17 & 9.80722193320013 & 0.0870021365187472 \tabularnewline
0.18 & 9.82994943938587 & 0.0915859506442872 \tabularnewline
0.19 & 9.85314810640497 & 0.0942872980494364 \tabularnewline
0.2 & 9.8764611175159 & 0.094924250334175 \tabularnewline
0.21 & 9.89950394923553 & 0.0938595483096082 \tabularnewline
0.22 & 9.92197303088248 & 0.0917512678910541 \tabularnewline
0.23 & 9.94370537572509 & 0.0894151809319602 \tabularnewline
0.24 & 9.96468912081477 & 0.0874938705630313 \tabularnewline
0.25 & 9.98503587202138 & 0.0864816549456521 \tabularnewline
0.26 & 10.0049314538382 & 0.0865183676955427 \tabularnewline
0.27 & 10.0245821938942 & 0.0874858646461316 \tabularnewline
0.28 & 10.0441704222814 & 0.0890885905846136 \tabularnewline
0.29 & 10.0638271732434 & 0.0909996997314153 \tabularnewline
0.3 & 10.0836239231234 & 0.092857471459829 \tabularnewline
0.31 & 10.1035800590207 & 0.0944964216287692 \tabularnewline
0.32 & 10.1236796128664 & 0.0958473413187437 \tabularnewline
0.33 & 10.1438899803727 & 0.0969583880114454 \tabularnewline
0.34 & 10.1641766437602 & 0.0978745657957384 \tabularnewline
0.35 & 10.1845106184829 & 0.098677661959302 \tabularnewline
0.36 & 10.2048684673558 & 0.0994098216949821 \tabularnewline
0.37 & 10.2252273042314 & 0.100035891274976 \tabularnewline
0.38 & 10.2455585586651 & 0.100464966863772 \tabularnewline
0.39 & 10.2658241585838 & 0.100601911900014 \tabularnewline
0.4 & 10.2859774451156 & 0.100365521667760 \tabularnewline
0.41 & 10.3059691402032 & 0.0997794757182688 \tabularnewline
0.42 & 10.3257567464964 & 0.0988666967579426 \tabularnewline
0.43 & 10.3453144726270 & 0.0977977917872535 \tabularnewline
0.44 & 10.3646404830186 & 0.096765611684643 \tabularnewline
0.45 & 10.3837589809276 & 0.095918731346137 \tabularnewline
0.46 & 10.4027160706011 & 0.0953777329961518 \tabularnewline
0.47 & 10.4215700587989 & 0.095223344669028 \tabularnewline
0.48 & 10.4403783637872 & 0.0953763661198483 \tabularnewline
0.49 & 10.4591841134812 & 0.0957193850273084 \tabularnewline
0.5 & 10.4780056287560 & 0.096046784335361 \tabularnewline
0.51 & 10.4968313121886 & 0.0961698649851956 \tabularnewline
0.52 & 10.5156211964303 & 0.0959104998230324 \tabularnewline
0.53 & 10.5343148760768 & 0.095184592169663 \tabularnewline
0.54 & 10.5528441191451 & 0.0939770689551886 \tabularnewline
0.55 & 10.5711474524091 & 0.0923711623719482 \tabularnewline
0.56 & 10.5891836537009 & 0.090542954426958 \tabularnewline
0.57 & 10.6069414355775 & 0.0886867449865056 \tabularnewline
0.58 & 10.6244435952710 & 0.0870128567155905 \tabularnewline
0.59 & 10.6417453429434 & 0.0857064805683365 \tabularnewline
0.6 & 10.6589281347392 & 0.0848944634309578 \tabularnewline
0.61 & 10.6760918326019 & 0.0846094546892989 \tabularnewline
0.62 & 10.6933491126028 & 0.0848745237205935 \tabularnewline
0.63 & 10.7108265297257 & 0.0856683355228848 \tabularnewline
0.64 & 10.7286763905065 & 0.0870637507345067 \tabularnewline
0.65 & 10.7471025673188 & 0.0892610677336786 \tabularnewline
0.66 & 10.7664017170930 & 0.0927051362737649 \tabularnewline
0.67 & 10.7870192800992 & 0.0981815086544427 \tabularnewline
0.68 & 10.8096174752402 & 0.106820297315352 \tabularnewline
0.69 & 10.8351506548961 & 0.120125215289572 \tabularnewline
0.7 & 10.8649421026100 & 0.139852167889359 \tabularnewline
0.71 & 10.9007556069148 & 0.167949132328793 \tabularnewline
0.72 & 10.9448543864678 & 0.206360691638085 \tabularnewline
0.73 & 11.0000381335406 & 0.256960246310225 \tabularnewline
0.74 & 11.0696448830653 & 0.321536858779253 \tabularnewline
0.75 & 11.1574975331831 & 0.401417343794801 \tabularnewline
0.76 & 11.2677663001986 & 0.497290235388814 \tabularnewline
0.77 & 11.4047120098557 & 0.608515789566987 \tabularnewline
0.78 & 11.5722774528688 & 0.73263815834029 \tabularnewline
0.79 & 11.7735128270029 & 0.864670118130624 \tabularnewline
0.8 & 12.0098622159340 & 0.99669384600529 \tabularnewline
0.81 & 12.2804001200992 & 1.11803181365114 \tabularnewline
0.82 & 12.5811783171193 & 1.21599182290724 \tabularnewline
0.83 & 12.9048993389377 & 1.27762006169478 \tabularnewline
0.84 & 13.2411405973773 & 1.29214745200238 \tabularnewline
0.85 & 13.5772824233041 & 1.25374384043217 \tabularnewline
0.86 & 13.9001338495309 & 1.16382748813169 \tabularnewline
0.87 & 14.1980281583916 & 1.03208372282494 \tabularnewline
0.88 & 14.4629423116414 & 0.875519903964587 \tabularnewline
0.89 & 14.6920675104246 & 0.715525893775117 \tabularnewline
0.9 & 14.8882924531804 & 0.573614369445971 \tabularnewline
0.91 & 15.0592771458606 & 0.466703394780628 \tabularnewline
0.92 & 15.2151699342057 & 0.401919157767906 \tabularnewline
0.93 & 15.3655437581464 & 0.371879337582858 \tabularnewline
0.94 & 15.5168926401611 & 0.356950944889642 \tabularnewline
0.95 & 15.6732175730479 & 0.337200350998834 \tabularnewline
0.96 & 15.8432963277692 & 0.308856541046540 \tabularnewline
0.97 & 16.0546440043596 & 0.311195114140074 \tabularnewline
0.98 & 16.3543030777362 & 0.443019487102093 \tabularnewline
0.99 & 16.7450198510753 & 0.731313452450104 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16238&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]9.06117371178113[/C][C]0.0802621282972342[/C][/ROW]
[ROW][C]0.02[/C][C]9.12113710805283[/C][C]0.104561629916374[/C][/ROW]
[ROW][C]0.03[/C][C]9.19302629324965[/C][C]0.134505723116839[/C][/ROW]
[ROW][C]0.04[/C][C]9.26955639872357[/C][C]0.153434399317310[/C][/ROW]
[ROW][C]0.05[/C][C]9.34572318521597[/C][C]0.159087255624586[/C][/ROW]
[ROW][C]0.06[/C][C]9.4175815833016[/C][C]0.155655690364395[/C][/ROW]
[ROW][C]0.07[/C][C]9.48266341265627[/C][C]0.146877770661577[/C][/ROW]
[ROW][C]0.08[/C][C]9.5398843856905[/C][C]0.134567715540500[/C][/ROW]
[ROW][C]0.09[/C][C]9.58905708871888[/C][C]0.119835868611287[/C][/ROW]
[ROW][C]0.1[/C][C]9.63055892375966[/C][C]0.104252059972100[/C][/ROW]
[ROW][C]0.11[/C][C]9.6652323998563[/C][C]0.0899463326964507[/C][/ROW]
[ROW][C]0.12[/C][C]9.69433537418741[/C][C]0.079084705359317[/C][/ROW]
[ROW][C]0.13[/C][C]9.71940513855784[/C][C]0.0731973331913576[/C][/ROW]
[ROW][C]0.14[/C][C]9.74203089155315[/C][C]0.0725077935809924[/C][/ROW]
[ROW][C]0.15[/C][C]9.76360771826595[/C][C]0.0758467870020133[/C][/ROW]
[ROW][C]0.16[/C][C]9.78515181242755[/C][C]0.0812939267451705[/C][/ROW]
[ROW][C]0.17[/C][C]9.80722193320013[/C][C]0.0870021365187472[/C][/ROW]
[ROW][C]0.18[/C][C]9.82994943938587[/C][C]0.0915859506442872[/C][/ROW]
[ROW][C]0.19[/C][C]9.85314810640497[/C][C]0.0942872980494364[/C][/ROW]
[ROW][C]0.2[/C][C]9.8764611175159[/C][C]0.094924250334175[/C][/ROW]
[ROW][C]0.21[/C][C]9.89950394923553[/C][C]0.0938595483096082[/C][/ROW]
[ROW][C]0.22[/C][C]9.92197303088248[/C][C]0.0917512678910541[/C][/ROW]
[ROW][C]0.23[/C][C]9.94370537572509[/C][C]0.0894151809319602[/C][/ROW]
[ROW][C]0.24[/C][C]9.96468912081477[/C][C]0.0874938705630313[/C][/ROW]
[ROW][C]0.25[/C][C]9.98503587202138[/C][C]0.0864816549456521[/C][/ROW]
[ROW][C]0.26[/C][C]10.0049314538382[/C][C]0.0865183676955427[/C][/ROW]
[ROW][C]0.27[/C][C]10.0245821938942[/C][C]0.0874858646461316[/C][/ROW]
[ROW][C]0.28[/C][C]10.0441704222814[/C][C]0.0890885905846136[/C][/ROW]
[ROW][C]0.29[/C][C]10.0638271732434[/C][C]0.0909996997314153[/C][/ROW]
[ROW][C]0.3[/C][C]10.0836239231234[/C][C]0.092857471459829[/C][/ROW]
[ROW][C]0.31[/C][C]10.1035800590207[/C][C]0.0944964216287692[/C][/ROW]
[ROW][C]0.32[/C][C]10.1236796128664[/C][C]0.0958473413187437[/C][/ROW]
[ROW][C]0.33[/C][C]10.1438899803727[/C][C]0.0969583880114454[/C][/ROW]
[ROW][C]0.34[/C][C]10.1641766437602[/C][C]0.0978745657957384[/C][/ROW]
[ROW][C]0.35[/C][C]10.1845106184829[/C][C]0.098677661959302[/C][/ROW]
[ROW][C]0.36[/C][C]10.2048684673558[/C][C]0.0994098216949821[/C][/ROW]
[ROW][C]0.37[/C][C]10.2252273042314[/C][C]0.100035891274976[/C][/ROW]
[ROW][C]0.38[/C][C]10.2455585586651[/C][C]0.100464966863772[/C][/ROW]
[ROW][C]0.39[/C][C]10.2658241585838[/C][C]0.100601911900014[/C][/ROW]
[ROW][C]0.4[/C][C]10.2859774451156[/C][C]0.100365521667760[/C][/ROW]
[ROW][C]0.41[/C][C]10.3059691402032[/C][C]0.0997794757182688[/C][/ROW]
[ROW][C]0.42[/C][C]10.3257567464964[/C][C]0.0988666967579426[/C][/ROW]
[ROW][C]0.43[/C][C]10.3453144726270[/C][C]0.0977977917872535[/C][/ROW]
[ROW][C]0.44[/C][C]10.3646404830186[/C][C]0.096765611684643[/C][/ROW]
[ROW][C]0.45[/C][C]10.3837589809276[/C][C]0.095918731346137[/C][/ROW]
[ROW][C]0.46[/C][C]10.4027160706011[/C][C]0.0953777329961518[/C][/ROW]
[ROW][C]0.47[/C][C]10.4215700587989[/C][C]0.095223344669028[/C][/ROW]
[ROW][C]0.48[/C][C]10.4403783637872[/C][C]0.0953763661198483[/C][/ROW]
[ROW][C]0.49[/C][C]10.4591841134812[/C][C]0.0957193850273084[/C][/ROW]
[ROW][C]0.5[/C][C]10.4780056287560[/C][C]0.096046784335361[/C][/ROW]
[ROW][C]0.51[/C][C]10.4968313121886[/C][C]0.0961698649851956[/C][/ROW]
[ROW][C]0.52[/C][C]10.5156211964303[/C][C]0.0959104998230324[/C][/ROW]
[ROW][C]0.53[/C][C]10.5343148760768[/C][C]0.095184592169663[/C][/ROW]
[ROW][C]0.54[/C][C]10.5528441191451[/C][C]0.0939770689551886[/C][/ROW]
[ROW][C]0.55[/C][C]10.5711474524091[/C][C]0.0923711623719482[/C][/ROW]
[ROW][C]0.56[/C][C]10.5891836537009[/C][C]0.090542954426958[/C][/ROW]
[ROW][C]0.57[/C][C]10.6069414355775[/C][C]0.0886867449865056[/C][/ROW]
[ROW][C]0.58[/C][C]10.6244435952710[/C][C]0.0870128567155905[/C][/ROW]
[ROW][C]0.59[/C][C]10.6417453429434[/C][C]0.0857064805683365[/C][/ROW]
[ROW][C]0.6[/C][C]10.6589281347392[/C][C]0.0848944634309578[/C][/ROW]
[ROW][C]0.61[/C][C]10.6760918326019[/C][C]0.0846094546892989[/C][/ROW]
[ROW][C]0.62[/C][C]10.6933491126028[/C][C]0.0848745237205935[/C][/ROW]
[ROW][C]0.63[/C][C]10.7108265297257[/C][C]0.0856683355228848[/C][/ROW]
[ROW][C]0.64[/C][C]10.7286763905065[/C][C]0.0870637507345067[/C][/ROW]
[ROW][C]0.65[/C][C]10.7471025673188[/C][C]0.0892610677336786[/C][/ROW]
[ROW][C]0.66[/C][C]10.7664017170930[/C][C]0.0927051362737649[/C][/ROW]
[ROW][C]0.67[/C][C]10.7870192800992[/C][C]0.0981815086544427[/C][/ROW]
[ROW][C]0.68[/C][C]10.8096174752402[/C][C]0.106820297315352[/C][/ROW]
[ROW][C]0.69[/C][C]10.8351506548961[/C][C]0.120125215289572[/C][/ROW]
[ROW][C]0.7[/C][C]10.8649421026100[/C][C]0.139852167889359[/C][/ROW]
[ROW][C]0.71[/C][C]10.9007556069148[/C][C]0.167949132328793[/C][/ROW]
[ROW][C]0.72[/C][C]10.9448543864678[/C][C]0.206360691638085[/C][/ROW]
[ROW][C]0.73[/C][C]11.0000381335406[/C][C]0.256960246310225[/C][/ROW]
[ROW][C]0.74[/C][C]11.0696448830653[/C][C]0.321536858779253[/C][/ROW]
[ROW][C]0.75[/C][C]11.1574975331831[/C][C]0.401417343794801[/C][/ROW]
[ROW][C]0.76[/C][C]11.2677663001986[/C][C]0.497290235388814[/C][/ROW]
[ROW][C]0.77[/C][C]11.4047120098557[/C][C]0.608515789566987[/C][/ROW]
[ROW][C]0.78[/C][C]11.5722774528688[/C][C]0.73263815834029[/C][/ROW]
[ROW][C]0.79[/C][C]11.7735128270029[/C][C]0.864670118130624[/C][/ROW]
[ROW][C]0.8[/C][C]12.0098622159340[/C][C]0.99669384600529[/C][/ROW]
[ROW][C]0.81[/C][C]12.2804001200992[/C][C]1.11803181365114[/C][/ROW]
[ROW][C]0.82[/C][C]12.5811783171193[/C][C]1.21599182290724[/C][/ROW]
[ROW][C]0.83[/C][C]12.9048993389377[/C][C]1.27762006169478[/C][/ROW]
[ROW][C]0.84[/C][C]13.2411405973773[/C][C]1.29214745200238[/C][/ROW]
[ROW][C]0.85[/C][C]13.5772824233041[/C][C]1.25374384043217[/C][/ROW]
[ROW][C]0.86[/C][C]13.9001338495309[/C][C]1.16382748813169[/C][/ROW]
[ROW][C]0.87[/C][C]14.1980281583916[/C][C]1.03208372282494[/C][/ROW]
[ROW][C]0.88[/C][C]14.4629423116414[/C][C]0.875519903964587[/C][/ROW]
[ROW][C]0.89[/C][C]14.6920675104246[/C][C]0.715525893775117[/C][/ROW]
[ROW][C]0.9[/C][C]14.8882924531804[/C][C]0.573614369445971[/C][/ROW]
[ROW][C]0.91[/C][C]15.0592771458606[/C][C]0.466703394780628[/C][/ROW]
[ROW][C]0.92[/C][C]15.2151699342057[/C][C]0.401919157767906[/C][/ROW]
[ROW][C]0.93[/C][C]15.3655437581464[/C][C]0.371879337582858[/C][/ROW]
[ROW][C]0.94[/C][C]15.5168926401611[/C][C]0.356950944889642[/C][/ROW]
[ROW][C]0.95[/C][C]15.6732175730479[/C][C]0.337200350998834[/C][/ROW]
[ROW][C]0.96[/C][C]15.8432963277692[/C][C]0.308856541046540[/C][/ROW]
[ROW][C]0.97[/C][C]16.0546440043596[/C][C]0.311195114140074[/C][/ROW]
[ROW][C]0.98[/C][C]16.3543030777362[/C][C]0.443019487102093[/C][/ROW]
[ROW][C]0.99[/C][C]16.7450198510753[/C][C]0.731313452450104[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16238&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16238&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
0.019.061173711781130.0802621282972342
0.029.121137108052830.104561629916374
0.039.193026293249650.134505723116839
0.049.269556398723570.153434399317310
0.059.345723185215970.159087255624586
0.069.41758158330160.155655690364395
0.079.482663412656270.146877770661577
0.089.53988438569050.134567715540500
0.099.589057088718880.119835868611287
0.19.630558923759660.104252059972100
0.119.66523239985630.0899463326964507
0.129.694335374187410.079084705359317
0.139.719405138557840.0731973331913576
0.149.742030891553150.0725077935809924
0.159.763607718265950.0758467870020133
0.169.785151812427550.0812939267451705
0.179.807221933200130.0870021365187472
0.189.829949439385870.0915859506442872
0.199.853148106404970.0942872980494364
0.29.87646111751590.094924250334175
0.219.899503949235530.0938595483096082
0.229.921973030882480.0917512678910541
0.239.943705375725090.0894151809319602
0.249.964689120814770.0874938705630313
0.259.985035872021380.0864816549456521
0.2610.00493145383820.0865183676955427
0.2710.02458219389420.0874858646461316
0.2810.04417042228140.0890885905846136
0.2910.06382717324340.0909996997314153
0.310.08362392312340.092857471459829
0.3110.10358005902070.0944964216287692
0.3210.12367961286640.0958473413187437
0.3310.14388998037270.0969583880114454
0.3410.16417664376020.0978745657957384
0.3510.18451061848290.098677661959302
0.3610.20486846735580.0994098216949821
0.3710.22522730423140.100035891274976
0.3810.24555855866510.100464966863772
0.3910.26582415858380.100601911900014
0.410.28597744511560.100365521667760
0.4110.30596914020320.0997794757182688
0.4210.32575674649640.0988666967579426
0.4310.34531447262700.0977977917872535
0.4410.36464048301860.096765611684643
0.4510.38375898092760.095918731346137
0.4610.40271607060110.0953777329961518
0.4710.42157005879890.095223344669028
0.4810.44037836378720.0953763661198483
0.4910.45918411348120.0957193850273084
0.510.47800562875600.096046784335361
0.5110.49683131218860.0961698649851956
0.5210.51562119643030.0959104998230324
0.5310.53431487607680.095184592169663
0.5410.55284411914510.0939770689551886
0.5510.57114745240910.0923711623719482
0.5610.58918365370090.090542954426958
0.5710.60694143557750.0886867449865056
0.5810.62444359527100.0870128567155905
0.5910.64174534294340.0857064805683365
0.610.65892813473920.0848944634309578
0.6110.67609183260190.0846094546892989
0.6210.69334911260280.0848745237205935
0.6310.71082652972570.0856683355228848
0.6410.72867639050650.0870637507345067
0.6510.74710256731880.0892610677336786
0.6610.76640171709300.0927051362737649
0.6710.78701928009920.0981815086544427
0.6810.80961747524020.106820297315352
0.6910.83515065489610.120125215289572
0.710.86494210261000.139852167889359
0.7110.90075560691480.167949132328793
0.7210.94485438646780.206360691638085
0.7311.00003813354060.256960246310225
0.7411.06964488306530.321536858779253
0.7511.15749753318310.401417343794801
0.7611.26776630019860.497290235388814
0.7711.40471200985570.608515789566987
0.7811.57227745286880.73263815834029
0.7911.77351282700290.864670118130624
0.812.00986221593400.99669384600529
0.8112.28040012009921.11803181365114
0.8212.58117831711931.21599182290724
0.8312.90489933893771.27762006169478
0.8413.24114059737731.29214745200238
0.8513.57728242330411.25374384043217
0.8613.90013384953091.16382748813169
0.8714.19802815839161.03208372282494
0.8814.46294231164140.875519903964587
0.8914.69206751042460.715525893775117
0.914.88829245318040.573614369445971
0.9115.05927714586060.466703394780628
0.9215.21516993420570.401919157767906
0.9315.36554375814640.371879337582858
0.9415.51689264016110.356950944889642
0.9515.67321757304790.337200350998834
0.9615.84329632776920.308856541046540
0.9716.05464400435960.311195114140074
0.9816.35430307773620.443019487102093
0.9916.74501985107530.731313452450104


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')