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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 09 Mar 2008 14:18:08 -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/Mar/09/t1205093932i66e6bfq1114o78.htm/, Retrieved Sat, 18 May 2024 05:34:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=10047, Retrieved Sat, 18 May 2024 05:34:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact313
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Datareeks-Gemidde...] [2008-02-16 15:46:27] [eb12badc436817d2bc67f3961406aecd]
- RMPD    [Harrell-Davis Quantiles] [Percentielen - Ge...] [2008-03-09 20:18:08] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
38.95
38.96
38.93
38.86
38.75
38.87
38.87
38.86
38.83
39.08
39.05
38.97
38.97
38.95
38.95
38.92
38.96
38.97
38.97
38.95
38.93
38.76
38.81
38.81
38.81
38.78
38.77
38.61
38.69
38.69
38.68
38.74
38.73
38.62
38.57
38.57
38.57
38.57
38.56
38.55
38.42
38.47
38.47
38.48
38.45
38.43
38.43
38.48
38.48
38.48
38.51
38.48
38.55
38.55
38.55
38.49
38.37
38.14
38.08
38.04
38.04
38.03
37.98
38.03
38.05
38.05
38.05
38.05
38.02
38.06
38.01
38
38
38
37.99
37.96
37.96
38.02
38.02
38.02
38
37.93
38
38




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10047&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10047&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10047&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0137.93986510374970.0225042861316869
0.0237.9528752355570.016480496446608
0.0337.96432091669170.0153934224437015
0.0437.97367207311430.0155500007290818
0.0537.98142299829180.0143105567744577
0.0637.98772970015090.0118591563800018
0.0737.99262195758610.0092000836079045
0.0837.99629393087210.00715089331059649
0.0937.99910834163930.00621813395387069
0.138.00147178640230.00640750376842971
0.1138.00372427699840.00731817087952647
0.1238.00608683569470.00853305704923148
0.1338.00866083163010.0096768245704294
0.1438.01145929400010.0106051037957162
0.1538.01445068099070.0114076545229335
0.1638.01760045603230.0120632245043230
0.1738.02090266091670.0129005430641809
0.1838.02440046902310.0141075241373428
0.1938.02819924908620.0159680095838537
0.238.03247657980510.0189531495280903
0.2138.03749112278170.0234153555362880
0.2238.04358795330420.0299157964686372
0.2338.05119420418930.0388010768392556
0.2438.06079772418350.0503241611613192
0.2538.07290386052730.0644300248698666
0.2638.08797104764190.0806923486217703
0.2738.10633298688910.0981669128892614
0.2838.12812147779930.115695790812488
0.2938.15320709078760.131791128911648
0.338.18117338803760.145056871244899
0.3138.21133427157160.154162503474276
0.3238.24279477995780.158328270637139
0.3338.27454587112390.157222485509948
0.3438.30557622999630.151165756307867
0.3538.33498097962530.140889910014849
0.3638.36204898275880.127644146595534
0.3738.38631629163540.112672398337643
0.3838.4075812446690.0973199697684399
0.3938.42588442179870.0827526080222006
0.438.44146232532040.0698324441828683
0.4138.45468636252030.0590851914007134
0.4238.46599858136180.0507657632227923
0.4338.47585346531820.0448535553098784
0.4438.4846719936850.0410944476428925
0.4538.49281103460020.0390115207374123
0.4638.50054850877540.0380476169502679
0.4738.50808281810610.0379212224394813
0.4838.51554370974590.0379846777877585
0.4938.52301090698330.0382298990662540
0.538.53053639772560.0385792169754496
0.5138.53816622975950.0390747910165081
0.5238.54595806744240.0397889009601624
0.5338.55399164355130.0410302884492193
0.5438.56237053799110.0429149762700107
0.5538.57121527371150.0455302107790224
0.5638.58064929638090.0489078766369609
0.5738.59078071891290.0527383149705343
0.5838.60168351109880.0568367924549678
0.5938.61338192892580.0609182207138796
0.638.62584136643480.0645920093040011
0.6138.63896758192560.0675081067883858
0.6238.65261464290890.0694659686866989
0.6338.66660028390510.0704034017421373
0.6438.68072602811650.0701602175960728
0.6538.69479866953050.0689315542669136
0.6638.70864968603520.066909610873
0.6738.72214981884220.0642796102591479
0.6838.7352172072440.0614008642419948
0.6938.74781880547730.0584664790058411
0.738.7599660087640.0556742229886812
0.7138.77170622456630.0532041984246813
0.7238.78311241080440.0511628633403426
0.7338.79427236842210.0495712256595684
0.7438.80527893861250.0483864367066234
0.7538.81622141319590.0476253764957944
0.7638.82717767082850.0471397776043686
0.7738.83820608180660.0468722567323366
0.7838.84933634362270.0467183239018168
0.7938.86055926829610.04646769078594
0.838.87181703730780.045949435765429
0.8138.88299710185980.0448726575936372
0.8238.89393393456380.0431012471545407
0.8338.90442236059390.04044717905956
0.8438.91424370584730.0369121094609781
0.8538.92320178111550.0326509469611472
0.8638.93116100444710.0279816495446312
0.8738.93807566628030.0232954662568145
0.8838.94399948811350.0190101246623143
0.8938.94906976306190.0154533660987501
0.938.95347136313470.0127841519292205
0.9138.95740312440080.0108978697511616
0.9238.96109156991240.00958248532461215
0.9338.96491582949420.0088430038841651
0.9438.9696894214870.00965265677617327
0.9538.97701577643110.0142903960303876
0.9638.98933246442260.0242747127759638
0.9739.00893153480410.0372239725696629
0.9839.03545573397540.0450095024911478
0.9939.06287343739570.0395918467058775

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 37.9398651037497 & 0.0225042861316869 \tabularnewline
0.02 & 37.952875235557 & 0.016480496446608 \tabularnewline
0.03 & 37.9643209166917 & 0.0153934224437015 \tabularnewline
0.04 & 37.9736720731143 & 0.0155500007290818 \tabularnewline
0.05 & 37.9814229982918 & 0.0143105567744577 \tabularnewline
0.06 & 37.9877297001509 & 0.0118591563800018 \tabularnewline
0.07 & 37.9926219575861 & 0.0092000836079045 \tabularnewline
0.08 & 37.9962939308721 & 0.00715089331059649 \tabularnewline
0.09 & 37.9991083416393 & 0.00621813395387069 \tabularnewline
0.1 & 38.0014717864023 & 0.00640750376842971 \tabularnewline
0.11 & 38.0037242769984 & 0.00731817087952647 \tabularnewline
0.12 & 38.0060868356947 & 0.00853305704923148 \tabularnewline
0.13 & 38.0086608316301 & 0.0096768245704294 \tabularnewline
0.14 & 38.0114592940001 & 0.0106051037957162 \tabularnewline
0.15 & 38.0144506809907 & 0.0114076545229335 \tabularnewline
0.16 & 38.0176004560323 & 0.0120632245043230 \tabularnewline
0.17 & 38.0209026609167 & 0.0129005430641809 \tabularnewline
0.18 & 38.0244004690231 & 0.0141075241373428 \tabularnewline
0.19 & 38.0281992490862 & 0.0159680095838537 \tabularnewline
0.2 & 38.0324765798051 & 0.0189531495280903 \tabularnewline
0.21 & 38.0374911227817 & 0.0234153555362880 \tabularnewline
0.22 & 38.0435879533042 & 0.0299157964686372 \tabularnewline
0.23 & 38.0511942041893 & 0.0388010768392556 \tabularnewline
0.24 & 38.0607977241835 & 0.0503241611613192 \tabularnewline
0.25 & 38.0729038605273 & 0.0644300248698666 \tabularnewline
0.26 & 38.0879710476419 & 0.0806923486217703 \tabularnewline
0.27 & 38.1063329868891 & 0.0981669128892614 \tabularnewline
0.28 & 38.1281214777993 & 0.115695790812488 \tabularnewline
0.29 & 38.1532070907876 & 0.131791128911648 \tabularnewline
0.3 & 38.1811733880376 & 0.145056871244899 \tabularnewline
0.31 & 38.2113342715716 & 0.154162503474276 \tabularnewline
0.32 & 38.2427947799578 & 0.158328270637139 \tabularnewline
0.33 & 38.2745458711239 & 0.157222485509948 \tabularnewline
0.34 & 38.3055762299963 & 0.151165756307867 \tabularnewline
0.35 & 38.3349809796253 & 0.140889910014849 \tabularnewline
0.36 & 38.3620489827588 & 0.127644146595534 \tabularnewline
0.37 & 38.3863162916354 & 0.112672398337643 \tabularnewline
0.38 & 38.407581244669 & 0.0973199697684399 \tabularnewline
0.39 & 38.4258844217987 & 0.0827526080222006 \tabularnewline
0.4 & 38.4414623253204 & 0.0698324441828683 \tabularnewline
0.41 & 38.4546863625203 & 0.0590851914007134 \tabularnewline
0.42 & 38.4659985813618 & 0.0507657632227923 \tabularnewline
0.43 & 38.4758534653182 & 0.0448535553098784 \tabularnewline
0.44 & 38.484671993685 & 0.0410944476428925 \tabularnewline
0.45 & 38.4928110346002 & 0.0390115207374123 \tabularnewline
0.46 & 38.5005485087754 & 0.0380476169502679 \tabularnewline
0.47 & 38.5080828181061 & 0.0379212224394813 \tabularnewline
0.48 & 38.5155437097459 & 0.0379846777877585 \tabularnewline
0.49 & 38.5230109069833 & 0.0382298990662540 \tabularnewline
0.5 & 38.5305363977256 & 0.0385792169754496 \tabularnewline
0.51 & 38.5381662297595 & 0.0390747910165081 \tabularnewline
0.52 & 38.5459580674424 & 0.0397889009601624 \tabularnewline
0.53 & 38.5539916435513 & 0.0410302884492193 \tabularnewline
0.54 & 38.5623705379911 & 0.0429149762700107 \tabularnewline
0.55 & 38.5712152737115 & 0.0455302107790224 \tabularnewline
0.56 & 38.5806492963809 & 0.0489078766369609 \tabularnewline
0.57 & 38.5907807189129 & 0.0527383149705343 \tabularnewline
0.58 & 38.6016835110988 & 0.0568367924549678 \tabularnewline
0.59 & 38.6133819289258 & 0.0609182207138796 \tabularnewline
0.6 & 38.6258413664348 & 0.0645920093040011 \tabularnewline
0.61 & 38.6389675819256 & 0.0675081067883858 \tabularnewline
0.62 & 38.6526146429089 & 0.0694659686866989 \tabularnewline
0.63 & 38.6666002839051 & 0.0704034017421373 \tabularnewline
0.64 & 38.6807260281165 & 0.0701602175960728 \tabularnewline
0.65 & 38.6947986695305 & 0.0689315542669136 \tabularnewline
0.66 & 38.7086496860352 & 0.066909610873 \tabularnewline
0.67 & 38.7221498188422 & 0.0642796102591479 \tabularnewline
0.68 & 38.735217207244 & 0.0614008642419948 \tabularnewline
0.69 & 38.7478188054773 & 0.0584664790058411 \tabularnewline
0.7 & 38.759966008764 & 0.0556742229886812 \tabularnewline
0.71 & 38.7717062245663 & 0.0532041984246813 \tabularnewline
0.72 & 38.7831124108044 & 0.0511628633403426 \tabularnewline
0.73 & 38.7942723684221 & 0.0495712256595684 \tabularnewline
0.74 & 38.8052789386125 & 0.0483864367066234 \tabularnewline
0.75 & 38.8162214131959 & 0.0476253764957944 \tabularnewline
0.76 & 38.8271776708285 & 0.0471397776043686 \tabularnewline
0.77 & 38.8382060818066 & 0.0468722567323366 \tabularnewline
0.78 & 38.8493363436227 & 0.0467183239018168 \tabularnewline
0.79 & 38.8605592682961 & 0.04646769078594 \tabularnewline
0.8 & 38.8718170373078 & 0.045949435765429 \tabularnewline
0.81 & 38.8829971018598 & 0.0448726575936372 \tabularnewline
0.82 & 38.8939339345638 & 0.0431012471545407 \tabularnewline
0.83 & 38.9044223605939 & 0.04044717905956 \tabularnewline
0.84 & 38.9142437058473 & 0.0369121094609781 \tabularnewline
0.85 & 38.9232017811155 & 0.0326509469611472 \tabularnewline
0.86 & 38.9311610044471 & 0.0279816495446312 \tabularnewline
0.87 & 38.9380756662803 & 0.0232954662568145 \tabularnewline
0.88 & 38.9439994881135 & 0.0190101246623143 \tabularnewline
0.89 & 38.9490697630619 & 0.0154533660987501 \tabularnewline
0.9 & 38.9534713631347 & 0.0127841519292205 \tabularnewline
0.91 & 38.9574031244008 & 0.0108978697511616 \tabularnewline
0.92 & 38.9610915699124 & 0.00958248532461215 \tabularnewline
0.93 & 38.9649158294942 & 0.0088430038841651 \tabularnewline
0.94 & 38.969689421487 & 0.00965265677617327 \tabularnewline
0.95 & 38.9770157764311 & 0.0142903960303876 \tabularnewline
0.96 & 38.9893324644226 & 0.0242747127759638 \tabularnewline
0.97 & 39.0089315348041 & 0.0372239725696629 \tabularnewline
0.98 & 39.0354557339754 & 0.0450095024911478 \tabularnewline
0.99 & 39.0628734373957 & 0.0395918467058775 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10047&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]37.9398651037497[/C][C]0.0225042861316869[/C][/ROW]
[ROW][C]0.02[/C][C]37.952875235557[/C][C]0.016480496446608[/C][/ROW]
[ROW][C]0.03[/C][C]37.9643209166917[/C][C]0.0153934224437015[/C][/ROW]
[ROW][C]0.04[/C][C]37.9736720731143[/C][C]0.0155500007290818[/C][/ROW]
[ROW][C]0.05[/C][C]37.9814229982918[/C][C]0.0143105567744577[/C][/ROW]
[ROW][C]0.06[/C][C]37.9877297001509[/C][C]0.0118591563800018[/C][/ROW]
[ROW][C]0.07[/C][C]37.9926219575861[/C][C]0.0092000836079045[/C][/ROW]
[ROW][C]0.08[/C][C]37.9962939308721[/C][C]0.00715089331059649[/C][/ROW]
[ROW][C]0.09[/C][C]37.9991083416393[/C][C]0.00621813395387069[/C][/ROW]
[ROW][C]0.1[/C][C]38.0014717864023[/C][C]0.00640750376842971[/C][/ROW]
[ROW][C]0.11[/C][C]38.0037242769984[/C][C]0.00731817087952647[/C][/ROW]
[ROW][C]0.12[/C][C]38.0060868356947[/C][C]0.00853305704923148[/C][/ROW]
[ROW][C]0.13[/C][C]38.0086608316301[/C][C]0.0096768245704294[/C][/ROW]
[ROW][C]0.14[/C][C]38.0114592940001[/C][C]0.0106051037957162[/C][/ROW]
[ROW][C]0.15[/C][C]38.0144506809907[/C][C]0.0114076545229335[/C][/ROW]
[ROW][C]0.16[/C][C]38.0176004560323[/C][C]0.0120632245043230[/C][/ROW]
[ROW][C]0.17[/C][C]38.0209026609167[/C][C]0.0129005430641809[/C][/ROW]
[ROW][C]0.18[/C][C]38.0244004690231[/C][C]0.0141075241373428[/C][/ROW]
[ROW][C]0.19[/C][C]38.0281992490862[/C][C]0.0159680095838537[/C][/ROW]
[ROW][C]0.2[/C][C]38.0324765798051[/C][C]0.0189531495280903[/C][/ROW]
[ROW][C]0.21[/C][C]38.0374911227817[/C][C]0.0234153555362880[/C][/ROW]
[ROW][C]0.22[/C][C]38.0435879533042[/C][C]0.0299157964686372[/C][/ROW]
[ROW][C]0.23[/C][C]38.0511942041893[/C][C]0.0388010768392556[/C][/ROW]
[ROW][C]0.24[/C][C]38.0607977241835[/C][C]0.0503241611613192[/C][/ROW]
[ROW][C]0.25[/C][C]38.0729038605273[/C][C]0.0644300248698666[/C][/ROW]
[ROW][C]0.26[/C][C]38.0879710476419[/C][C]0.0806923486217703[/C][/ROW]
[ROW][C]0.27[/C][C]38.1063329868891[/C][C]0.0981669128892614[/C][/ROW]
[ROW][C]0.28[/C][C]38.1281214777993[/C][C]0.115695790812488[/C][/ROW]
[ROW][C]0.29[/C][C]38.1532070907876[/C][C]0.131791128911648[/C][/ROW]
[ROW][C]0.3[/C][C]38.1811733880376[/C][C]0.145056871244899[/C][/ROW]
[ROW][C]0.31[/C][C]38.2113342715716[/C][C]0.154162503474276[/C][/ROW]
[ROW][C]0.32[/C][C]38.2427947799578[/C][C]0.158328270637139[/C][/ROW]
[ROW][C]0.33[/C][C]38.2745458711239[/C][C]0.157222485509948[/C][/ROW]
[ROW][C]0.34[/C][C]38.3055762299963[/C][C]0.151165756307867[/C][/ROW]
[ROW][C]0.35[/C][C]38.3349809796253[/C][C]0.140889910014849[/C][/ROW]
[ROW][C]0.36[/C][C]38.3620489827588[/C][C]0.127644146595534[/C][/ROW]
[ROW][C]0.37[/C][C]38.3863162916354[/C][C]0.112672398337643[/C][/ROW]
[ROW][C]0.38[/C][C]38.407581244669[/C][C]0.0973199697684399[/C][/ROW]
[ROW][C]0.39[/C][C]38.4258844217987[/C][C]0.0827526080222006[/C][/ROW]
[ROW][C]0.4[/C][C]38.4414623253204[/C][C]0.0698324441828683[/C][/ROW]
[ROW][C]0.41[/C][C]38.4546863625203[/C][C]0.0590851914007134[/C][/ROW]
[ROW][C]0.42[/C][C]38.4659985813618[/C][C]0.0507657632227923[/C][/ROW]
[ROW][C]0.43[/C][C]38.4758534653182[/C][C]0.0448535553098784[/C][/ROW]
[ROW][C]0.44[/C][C]38.484671993685[/C][C]0.0410944476428925[/C][/ROW]
[ROW][C]0.45[/C][C]38.4928110346002[/C][C]0.0390115207374123[/C][/ROW]
[ROW][C]0.46[/C][C]38.5005485087754[/C][C]0.0380476169502679[/C][/ROW]
[ROW][C]0.47[/C][C]38.5080828181061[/C][C]0.0379212224394813[/C][/ROW]
[ROW][C]0.48[/C][C]38.5155437097459[/C][C]0.0379846777877585[/C][/ROW]
[ROW][C]0.49[/C][C]38.5230109069833[/C][C]0.0382298990662540[/C][/ROW]
[ROW][C]0.5[/C][C]38.5305363977256[/C][C]0.0385792169754496[/C][/ROW]
[ROW][C]0.51[/C][C]38.5381662297595[/C][C]0.0390747910165081[/C][/ROW]
[ROW][C]0.52[/C][C]38.5459580674424[/C][C]0.0397889009601624[/C][/ROW]
[ROW][C]0.53[/C][C]38.5539916435513[/C][C]0.0410302884492193[/C][/ROW]
[ROW][C]0.54[/C][C]38.5623705379911[/C][C]0.0429149762700107[/C][/ROW]
[ROW][C]0.55[/C][C]38.5712152737115[/C][C]0.0455302107790224[/C][/ROW]
[ROW][C]0.56[/C][C]38.5806492963809[/C][C]0.0489078766369609[/C][/ROW]
[ROW][C]0.57[/C][C]38.5907807189129[/C][C]0.0527383149705343[/C][/ROW]
[ROW][C]0.58[/C][C]38.6016835110988[/C][C]0.0568367924549678[/C][/ROW]
[ROW][C]0.59[/C][C]38.6133819289258[/C][C]0.0609182207138796[/C][/ROW]
[ROW][C]0.6[/C][C]38.6258413664348[/C][C]0.0645920093040011[/C][/ROW]
[ROW][C]0.61[/C][C]38.6389675819256[/C][C]0.0675081067883858[/C][/ROW]
[ROW][C]0.62[/C][C]38.6526146429089[/C][C]0.0694659686866989[/C][/ROW]
[ROW][C]0.63[/C][C]38.6666002839051[/C][C]0.0704034017421373[/C][/ROW]
[ROW][C]0.64[/C][C]38.6807260281165[/C][C]0.0701602175960728[/C][/ROW]
[ROW][C]0.65[/C][C]38.6947986695305[/C][C]0.0689315542669136[/C][/ROW]
[ROW][C]0.66[/C][C]38.7086496860352[/C][C]0.066909610873[/C][/ROW]
[ROW][C]0.67[/C][C]38.7221498188422[/C][C]0.0642796102591479[/C][/ROW]
[ROW][C]0.68[/C][C]38.735217207244[/C][C]0.0614008642419948[/C][/ROW]
[ROW][C]0.69[/C][C]38.7478188054773[/C][C]0.0584664790058411[/C][/ROW]
[ROW][C]0.7[/C][C]38.759966008764[/C][C]0.0556742229886812[/C][/ROW]
[ROW][C]0.71[/C][C]38.7717062245663[/C][C]0.0532041984246813[/C][/ROW]
[ROW][C]0.72[/C][C]38.7831124108044[/C][C]0.0511628633403426[/C][/ROW]
[ROW][C]0.73[/C][C]38.7942723684221[/C][C]0.0495712256595684[/C][/ROW]
[ROW][C]0.74[/C][C]38.8052789386125[/C][C]0.0483864367066234[/C][/ROW]
[ROW][C]0.75[/C][C]38.8162214131959[/C][C]0.0476253764957944[/C][/ROW]
[ROW][C]0.76[/C][C]38.8271776708285[/C][C]0.0471397776043686[/C][/ROW]
[ROW][C]0.77[/C][C]38.8382060818066[/C][C]0.0468722567323366[/C][/ROW]
[ROW][C]0.78[/C][C]38.8493363436227[/C][C]0.0467183239018168[/C][/ROW]
[ROW][C]0.79[/C][C]38.8605592682961[/C][C]0.04646769078594[/C][/ROW]
[ROW][C]0.8[/C][C]38.8718170373078[/C][C]0.045949435765429[/C][/ROW]
[ROW][C]0.81[/C][C]38.8829971018598[/C][C]0.0448726575936372[/C][/ROW]
[ROW][C]0.82[/C][C]38.8939339345638[/C][C]0.0431012471545407[/C][/ROW]
[ROW][C]0.83[/C][C]38.9044223605939[/C][C]0.04044717905956[/C][/ROW]
[ROW][C]0.84[/C][C]38.9142437058473[/C][C]0.0369121094609781[/C][/ROW]
[ROW][C]0.85[/C][C]38.9232017811155[/C][C]0.0326509469611472[/C][/ROW]
[ROW][C]0.86[/C][C]38.9311610044471[/C][C]0.0279816495446312[/C][/ROW]
[ROW][C]0.87[/C][C]38.9380756662803[/C][C]0.0232954662568145[/C][/ROW]
[ROW][C]0.88[/C][C]38.9439994881135[/C][C]0.0190101246623143[/C][/ROW]
[ROW][C]0.89[/C][C]38.9490697630619[/C][C]0.0154533660987501[/C][/ROW]
[ROW][C]0.9[/C][C]38.9534713631347[/C][C]0.0127841519292205[/C][/ROW]
[ROW][C]0.91[/C][C]38.9574031244008[/C][C]0.0108978697511616[/C][/ROW]
[ROW][C]0.92[/C][C]38.9610915699124[/C][C]0.00958248532461215[/C][/ROW]
[ROW][C]0.93[/C][C]38.9649158294942[/C][C]0.0088430038841651[/C][/ROW]
[ROW][C]0.94[/C][C]38.969689421487[/C][C]0.00965265677617327[/C][/ROW]
[ROW][C]0.95[/C][C]38.9770157764311[/C][C]0.0142903960303876[/C][/ROW]
[ROW][C]0.96[/C][C]38.9893324644226[/C][C]0.0242747127759638[/C][/ROW]
[ROW][C]0.97[/C][C]39.0089315348041[/C][C]0.0372239725696629[/C][/ROW]
[ROW][C]0.98[/C][C]39.0354557339754[/C][C]0.0450095024911478[/C][/ROW]
[ROW][C]0.99[/C][C]39.0628734373957[/C][C]0.0395918467058775[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10047&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10047&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
0.0137.93986510374970.0225042861316869
0.0237.9528752355570.016480496446608
0.0337.96432091669170.0153934224437015
0.0437.97367207311430.0155500007290818
0.0537.98142299829180.0143105567744577
0.0637.98772970015090.0118591563800018
0.0737.99262195758610.0092000836079045
0.0837.99629393087210.00715089331059649
0.0937.99910834163930.00621813395387069
0.138.00147178640230.00640750376842971
0.1138.00372427699840.00731817087952647
0.1238.00608683569470.00853305704923148
0.1338.00866083163010.0096768245704294
0.1438.01145929400010.0106051037957162
0.1538.01445068099070.0114076545229335
0.1638.01760045603230.0120632245043230
0.1738.02090266091670.0129005430641809
0.1838.02440046902310.0141075241373428
0.1938.02819924908620.0159680095838537
0.238.03247657980510.0189531495280903
0.2138.03749112278170.0234153555362880
0.2238.04358795330420.0299157964686372
0.2338.05119420418930.0388010768392556
0.2438.06079772418350.0503241611613192
0.2538.07290386052730.0644300248698666
0.2638.08797104764190.0806923486217703
0.2738.10633298688910.0981669128892614
0.2838.12812147779930.115695790812488
0.2938.15320709078760.131791128911648
0.338.18117338803760.145056871244899
0.3138.21133427157160.154162503474276
0.3238.24279477995780.158328270637139
0.3338.27454587112390.157222485509948
0.3438.30557622999630.151165756307867
0.3538.33498097962530.140889910014849
0.3638.36204898275880.127644146595534
0.3738.38631629163540.112672398337643
0.3838.4075812446690.0973199697684399
0.3938.42588442179870.0827526080222006
0.438.44146232532040.0698324441828683
0.4138.45468636252030.0590851914007134
0.4238.46599858136180.0507657632227923
0.4338.47585346531820.0448535553098784
0.4438.4846719936850.0410944476428925
0.4538.49281103460020.0390115207374123
0.4638.50054850877540.0380476169502679
0.4738.50808281810610.0379212224394813
0.4838.51554370974590.0379846777877585
0.4938.52301090698330.0382298990662540
0.538.53053639772560.0385792169754496
0.5138.53816622975950.0390747910165081
0.5238.54595806744240.0397889009601624
0.5338.55399164355130.0410302884492193
0.5438.56237053799110.0429149762700107
0.5538.57121527371150.0455302107790224
0.5638.58064929638090.0489078766369609
0.5738.59078071891290.0527383149705343
0.5838.60168351109880.0568367924549678
0.5938.61338192892580.0609182207138796
0.638.62584136643480.0645920093040011
0.6138.63896758192560.0675081067883858
0.6238.65261464290890.0694659686866989
0.6338.66660028390510.0704034017421373
0.6438.68072602811650.0701602175960728
0.6538.69479866953050.0689315542669136
0.6638.70864968603520.066909610873
0.6738.72214981884220.0642796102591479
0.6838.7352172072440.0614008642419948
0.6938.74781880547730.0584664790058411
0.738.7599660087640.0556742229886812
0.7138.77170622456630.0532041984246813
0.7238.78311241080440.0511628633403426
0.7338.79427236842210.0495712256595684
0.7438.80527893861250.0483864367066234
0.7538.81622141319590.0476253764957944
0.7638.82717767082850.0471397776043686
0.7738.83820608180660.0468722567323366
0.7838.84933634362270.0467183239018168
0.7938.86055926829610.04646769078594
0.838.87181703730780.045949435765429
0.8138.88299710185980.0448726575936372
0.8238.89393393456380.0431012471545407
0.8338.90442236059390.04044717905956
0.8438.91424370584730.0369121094609781
0.8538.92320178111550.0326509469611472
0.8638.93116100444710.0279816495446312
0.8738.93807566628030.0232954662568145
0.8838.94399948811350.0190101246623143
0.8938.94906976306190.0154533660987501
0.938.95347136313470.0127841519292205
0.9138.95740312440080.0108978697511616
0.9238.96109156991240.00958248532461215
0.9338.96491582949420.0088430038841651
0.9438.9696894214870.00965265677617327
0.9538.97701577643110.0142903960303876
0.9638.98933246442260.0242747127759638
0.9739.00893153480410.0372239725696629
0.9839.03545573397540.0450095024911478
0.9939.06287343739570.0395918467058775



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')