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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 computationMon, 10 Oct 2016 19:02:17 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/10/t1476122557r3z9hcs33rvc12p.htm/, Retrieved Wed, 08 May 2024 12:19:03 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 08 May 2024 12:19:03 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
99.57
98.97
99
98.88
98.9
98.92
98.8
98.83
98.88
98.88
98.89
98.89
99.05
99.2
99.13
98.92
98.98
98.99
99.08
99.1
99.1
99.06
99.05
99.11
99.75
99.8
99.95
99.69
99.55
99.14
99.05
99
99.03
99.16
99.01
99
99.9
100.18
100.2
100.13
99.85
99.88
99.88
99.89
99.96
100.05
100.04
100.06
99.72
99.7
99.63
99.73
99.77
99.76
99.61
99.61
99.59
99.42
99.52
99.46
100.55
100.4
100.15
100.2
100.16
100.19
100.23
100.08
100.15
100.13
100.26
100.24

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0198.81143240374320.0317145366140357
0.0298.82915123513850.0326103647107929
0.0398.84709121845880.0288814935666163
0.0498.86179594539110.0223407408100684
0.0598.87267253526620.0167280134191807
0.0698.88069558133550.0145139590393724
0.0798.887254524040.0158224640794515
0.0898.89352703008990.0192482717328745
0.0998.90027619668870.0236782036219904
0.198.90787275743580.0283036466439713
0.1198.91638981816440.0324910835731536
0.1298.92569787109790.035896879468325
0.1398.9355441243270.0379999744568428
0.1498.94562050689440.0387659341573241
0.1598.95562347644290.0384412904038833
0.1698.96530259931140.0371018818955952
0.1798.97449227086840.0353239080047278
0.1898.98312305957450.0335051553382385
0.1998.99121375638360.032057337594432
0.298.99884959374390.0311027371887942
0.2199.00615449213990.0307706691941811
0.2299.01326508526230.0311922631652742
0.2399.02031218067240.0319020435604385
0.2499.02741227657230.0331574321450073
0.2599.03466884288180.0346981715497187
0.2699.04218100950.0366861869365589
0.2799.05005632831610.0391934991261078
0.2899.05842421788430.0424777545273685
0.2999.06744717473620.0467286143241163
0.399.07732746289290.0521989549548994
0.3199.08830755841680.0593566354497865
0.3299.10066312888970.0681373836502387
0.3399.11468792359920.0788149406205912
0.3499.13067082000010.0909370914976042
0.3599.14886648647880.104603895702164
0.3699.16946255706330.119112645494858
0.3799.19254755544860.133774561967378
0.3899.21808463686360.147816220038679
0.3999.24589616236370.160341782504978
0.499.27566299343790.17066562206981
0.4199.3069402871820.177921194220081
0.4299.3391888603010.181843876313262
0.4399.37181844856640.182214348056536
0.4499.40423703751640.179113944113342
0.4599.43589937650490.173190802665308
0.4699.46634804929340.164824111641166
0.4799.49524197985870.154819776528306
0.4899.52236963394970.144125136789675
0.4999.54764688581920.133227115342204
0.599.57110197131110.122977161802653
0.5199.59285166732620.113698480310876
0.5299.61307355823990.105634306726362
0.5399.63197895651780.0988403204036305
0.5499.64978994670330.0933568070302342
0.5599.6667224779380.0890380062249231
0.5699.68297584822190.0857834118228626
0.5799.69872766077580.0834114184898923
0.5899.71413261775910.0816208838330627
0.5999.72932340886790.0805885584618151
0.699.74441234524190.0799740991784738
0.6199.75949305237360.0798533638468808
0.6299.77464218828940.0800688673274014
0.6399.78992154849220.0805438696447776
0.6499.80538092055020.0810884652493828
0.6599.82106167699950.0819202360259347
0.6699.83700051520520.0825837739421937
0.6799.85323223357450.0834857169686787
0.6899.8697902442390.0844593477427194
0.6999.88670382985130.0855432268199133
0.799.90399194293910.0867169033564647
0.7199.92165440971820.0878781527271847
0.7299.93966238925130.0888368553583541
0.7399.9579504935650.089348778819189
0.7499.97641286593430.0892329774927336
0.7599.99490474728520.088223213744084
0.76100.0132498811920.086246532819623
0.77100.031252905650.083298681172534
0.78100.0487150157190.0793205327481163
0.79100.0654508269770.0745620504569666
0.8100.0813044472540.0691201441434048
0.81100.0961630329650.0633443879996894
0.82100.1099663620570.0573597501777378
0.83100.1227112183420.0515417283263666
0.84100.1344499231620.0460517516965749
0.85100.1452834832360.0411655466292678
0.86100.1553515557910.0370203836426832
0.87100.1648232826740.0336286792001398
0.88100.1738943992080.0309879212824393
0.89100.182797124930.0290739505760115
0.9100.1918322391780.0279867626689198
0.91100.2014403722270.0279100741935853
0.92100.2123407981990.0292174023410977
0.93100.2257673745490.0329017096640344
0.94100.2437920878420.0407181258957971
0.95100.2696059642790.0548566420242115
0.96100.3073760047970.0757775480974425
0.97100.3608441361650.100227464163374
0.98100.4293341526150.122190852891241
0.99100.50097053740.13817281826729

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.8114324037432 & 0.0317145366140357 \tabularnewline
0.02 & 98.8291512351385 & 0.0326103647107929 \tabularnewline
0.03 & 98.8470912184588 & 0.0288814935666163 \tabularnewline
0.04 & 98.8617959453911 & 0.0223407408100684 \tabularnewline
0.05 & 98.8726725352662 & 0.0167280134191807 \tabularnewline
0.06 & 98.8806955813355 & 0.0145139590393724 \tabularnewline
0.07 & 98.88725452404 & 0.0158224640794515 \tabularnewline
0.08 & 98.8935270300899 & 0.0192482717328745 \tabularnewline
0.09 & 98.9002761966887 & 0.0236782036219904 \tabularnewline
0.1 & 98.9078727574358 & 0.0283036466439713 \tabularnewline
0.11 & 98.9163898181644 & 0.0324910835731536 \tabularnewline
0.12 & 98.9256978710979 & 0.035896879468325 \tabularnewline
0.13 & 98.935544124327 & 0.0379999744568428 \tabularnewline
0.14 & 98.9456205068944 & 0.0387659341573241 \tabularnewline
0.15 & 98.9556234764429 & 0.0384412904038833 \tabularnewline
0.16 & 98.9653025993114 & 0.0371018818955952 \tabularnewline
0.17 & 98.9744922708684 & 0.0353239080047278 \tabularnewline
0.18 & 98.9831230595745 & 0.0335051553382385 \tabularnewline
0.19 & 98.9912137563836 & 0.032057337594432 \tabularnewline
0.2 & 98.9988495937439 & 0.0311027371887942 \tabularnewline
0.21 & 99.0061544921399 & 0.0307706691941811 \tabularnewline
0.22 & 99.0132650852623 & 0.0311922631652742 \tabularnewline
0.23 & 99.0203121806724 & 0.0319020435604385 \tabularnewline
0.24 & 99.0274122765723 & 0.0331574321450073 \tabularnewline
0.25 & 99.0346688428818 & 0.0346981715497187 \tabularnewline
0.26 & 99.0421810095 & 0.0366861869365589 \tabularnewline
0.27 & 99.0500563283161 & 0.0391934991261078 \tabularnewline
0.28 & 99.0584242178843 & 0.0424777545273685 \tabularnewline
0.29 & 99.0674471747362 & 0.0467286143241163 \tabularnewline
0.3 & 99.0773274628929 & 0.0521989549548994 \tabularnewline
0.31 & 99.0883075584168 & 0.0593566354497865 \tabularnewline
0.32 & 99.1006631288897 & 0.0681373836502387 \tabularnewline
0.33 & 99.1146879235992 & 0.0788149406205912 \tabularnewline
0.34 & 99.1306708200001 & 0.0909370914976042 \tabularnewline
0.35 & 99.1488664864788 & 0.104603895702164 \tabularnewline
0.36 & 99.1694625570633 & 0.119112645494858 \tabularnewline
0.37 & 99.1925475554486 & 0.133774561967378 \tabularnewline
0.38 & 99.2180846368636 & 0.147816220038679 \tabularnewline
0.39 & 99.2458961623637 & 0.160341782504978 \tabularnewline
0.4 & 99.2756629934379 & 0.17066562206981 \tabularnewline
0.41 & 99.306940287182 & 0.177921194220081 \tabularnewline
0.42 & 99.339188860301 & 0.181843876313262 \tabularnewline
0.43 & 99.3718184485664 & 0.182214348056536 \tabularnewline
0.44 & 99.4042370375164 & 0.179113944113342 \tabularnewline
0.45 & 99.4358993765049 & 0.173190802665308 \tabularnewline
0.46 & 99.4663480492934 & 0.164824111641166 \tabularnewline
0.47 & 99.4952419798587 & 0.154819776528306 \tabularnewline
0.48 & 99.5223696339497 & 0.144125136789675 \tabularnewline
0.49 & 99.5476468858192 & 0.133227115342204 \tabularnewline
0.5 & 99.5711019713111 & 0.122977161802653 \tabularnewline
0.51 & 99.5928516673262 & 0.113698480310876 \tabularnewline
0.52 & 99.6130735582399 & 0.105634306726362 \tabularnewline
0.53 & 99.6319789565178 & 0.0988403204036305 \tabularnewline
0.54 & 99.6497899467033 & 0.0933568070302342 \tabularnewline
0.55 & 99.666722477938 & 0.0890380062249231 \tabularnewline
0.56 & 99.6829758482219 & 0.0857834118228626 \tabularnewline
0.57 & 99.6987276607758 & 0.0834114184898923 \tabularnewline
0.58 & 99.7141326177591 & 0.0816208838330627 \tabularnewline
0.59 & 99.7293234088679 & 0.0805885584618151 \tabularnewline
0.6 & 99.7444123452419 & 0.0799740991784738 \tabularnewline
0.61 & 99.7594930523736 & 0.0798533638468808 \tabularnewline
0.62 & 99.7746421882894 & 0.0800688673274014 \tabularnewline
0.63 & 99.7899215484922 & 0.0805438696447776 \tabularnewline
0.64 & 99.8053809205502 & 0.0810884652493828 \tabularnewline
0.65 & 99.8210616769995 & 0.0819202360259347 \tabularnewline
0.66 & 99.8370005152052 & 0.0825837739421937 \tabularnewline
0.67 & 99.8532322335745 & 0.0834857169686787 \tabularnewline
0.68 & 99.869790244239 & 0.0844593477427194 \tabularnewline
0.69 & 99.8867038298513 & 0.0855432268199133 \tabularnewline
0.7 & 99.9039919429391 & 0.0867169033564647 \tabularnewline
0.71 & 99.9216544097182 & 0.0878781527271847 \tabularnewline
0.72 & 99.9396623892513 & 0.0888368553583541 \tabularnewline
0.73 & 99.957950493565 & 0.089348778819189 \tabularnewline
0.74 & 99.9764128659343 & 0.0892329774927336 \tabularnewline
0.75 & 99.9949047472852 & 0.088223213744084 \tabularnewline
0.76 & 100.013249881192 & 0.086246532819623 \tabularnewline
0.77 & 100.03125290565 & 0.083298681172534 \tabularnewline
0.78 & 100.048715015719 & 0.0793205327481163 \tabularnewline
0.79 & 100.065450826977 & 0.0745620504569666 \tabularnewline
0.8 & 100.081304447254 & 0.0691201441434048 \tabularnewline
0.81 & 100.096163032965 & 0.0633443879996894 \tabularnewline
0.82 & 100.109966362057 & 0.0573597501777378 \tabularnewline
0.83 & 100.122711218342 & 0.0515417283263666 \tabularnewline
0.84 & 100.134449923162 & 0.0460517516965749 \tabularnewline
0.85 & 100.145283483236 & 0.0411655466292678 \tabularnewline
0.86 & 100.155351555791 & 0.0370203836426832 \tabularnewline
0.87 & 100.164823282674 & 0.0336286792001398 \tabularnewline
0.88 & 100.173894399208 & 0.0309879212824393 \tabularnewline
0.89 & 100.18279712493 & 0.0290739505760115 \tabularnewline
0.9 & 100.191832239178 & 0.0279867626689198 \tabularnewline
0.91 & 100.201440372227 & 0.0279100741935853 \tabularnewline
0.92 & 100.212340798199 & 0.0292174023410977 \tabularnewline
0.93 & 100.225767374549 & 0.0329017096640344 \tabularnewline
0.94 & 100.243792087842 & 0.0407181258957971 \tabularnewline
0.95 & 100.269605964279 & 0.0548566420242115 \tabularnewline
0.96 & 100.307376004797 & 0.0757775480974425 \tabularnewline
0.97 & 100.360844136165 & 0.100227464163374 \tabularnewline
0.98 & 100.429334152615 & 0.122190852891241 \tabularnewline
0.99 & 100.5009705374 & 0.13817281826729 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]98.8114324037432[/C][C]0.0317145366140357[/C][/ROW]
[ROW][C]0.02[/C][C]98.8291512351385[/C][C]0.0326103647107929[/C][/ROW]
[ROW][C]0.03[/C][C]98.8470912184588[/C][C]0.0288814935666163[/C][/ROW]
[ROW][C]0.04[/C][C]98.8617959453911[/C][C]0.0223407408100684[/C][/ROW]
[ROW][C]0.05[/C][C]98.8726725352662[/C][C]0.0167280134191807[/C][/ROW]
[ROW][C]0.06[/C][C]98.8806955813355[/C][C]0.0145139590393724[/C][/ROW]
[ROW][C]0.07[/C][C]98.88725452404[/C][C]0.0158224640794515[/C][/ROW]
[ROW][C]0.08[/C][C]98.8935270300899[/C][C]0.0192482717328745[/C][/ROW]
[ROW][C]0.09[/C][C]98.9002761966887[/C][C]0.0236782036219904[/C][/ROW]
[ROW][C]0.1[/C][C]98.9078727574358[/C][C]0.0283036466439713[/C][/ROW]
[ROW][C]0.11[/C][C]98.9163898181644[/C][C]0.0324910835731536[/C][/ROW]
[ROW][C]0.12[/C][C]98.9256978710979[/C][C]0.035896879468325[/C][/ROW]
[ROW][C]0.13[/C][C]98.935544124327[/C][C]0.0379999744568428[/C][/ROW]
[ROW][C]0.14[/C][C]98.9456205068944[/C][C]0.0387659341573241[/C][/ROW]
[ROW][C]0.15[/C][C]98.9556234764429[/C][C]0.0384412904038833[/C][/ROW]
[ROW][C]0.16[/C][C]98.9653025993114[/C][C]0.0371018818955952[/C][/ROW]
[ROW][C]0.17[/C][C]98.9744922708684[/C][C]0.0353239080047278[/C][/ROW]
[ROW][C]0.18[/C][C]98.9831230595745[/C][C]0.0335051553382385[/C][/ROW]
[ROW][C]0.19[/C][C]98.9912137563836[/C][C]0.032057337594432[/C][/ROW]
[ROW][C]0.2[/C][C]98.9988495937439[/C][C]0.0311027371887942[/C][/ROW]
[ROW][C]0.21[/C][C]99.0061544921399[/C][C]0.0307706691941811[/C][/ROW]
[ROW][C]0.22[/C][C]99.0132650852623[/C][C]0.0311922631652742[/C][/ROW]
[ROW][C]0.23[/C][C]99.0203121806724[/C][C]0.0319020435604385[/C][/ROW]
[ROW][C]0.24[/C][C]99.0274122765723[/C][C]0.0331574321450073[/C][/ROW]
[ROW][C]0.25[/C][C]99.0346688428818[/C][C]0.0346981715497187[/C][/ROW]
[ROW][C]0.26[/C][C]99.0421810095[/C][C]0.0366861869365589[/C][/ROW]
[ROW][C]0.27[/C][C]99.0500563283161[/C][C]0.0391934991261078[/C][/ROW]
[ROW][C]0.28[/C][C]99.0584242178843[/C][C]0.0424777545273685[/C][/ROW]
[ROW][C]0.29[/C][C]99.0674471747362[/C][C]0.0467286143241163[/C][/ROW]
[ROW][C]0.3[/C][C]99.0773274628929[/C][C]0.0521989549548994[/C][/ROW]
[ROW][C]0.31[/C][C]99.0883075584168[/C][C]0.0593566354497865[/C][/ROW]
[ROW][C]0.32[/C][C]99.1006631288897[/C][C]0.0681373836502387[/C][/ROW]
[ROW][C]0.33[/C][C]99.1146879235992[/C][C]0.0788149406205912[/C][/ROW]
[ROW][C]0.34[/C][C]99.1306708200001[/C][C]0.0909370914976042[/C][/ROW]
[ROW][C]0.35[/C][C]99.1488664864788[/C][C]0.104603895702164[/C][/ROW]
[ROW][C]0.36[/C][C]99.1694625570633[/C][C]0.119112645494858[/C][/ROW]
[ROW][C]0.37[/C][C]99.1925475554486[/C][C]0.133774561967378[/C][/ROW]
[ROW][C]0.38[/C][C]99.2180846368636[/C][C]0.147816220038679[/C][/ROW]
[ROW][C]0.39[/C][C]99.2458961623637[/C][C]0.160341782504978[/C][/ROW]
[ROW][C]0.4[/C][C]99.2756629934379[/C][C]0.17066562206981[/C][/ROW]
[ROW][C]0.41[/C][C]99.306940287182[/C][C]0.177921194220081[/C][/ROW]
[ROW][C]0.42[/C][C]99.339188860301[/C][C]0.181843876313262[/C][/ROW]
[ROW][C]0.43[/C][C]99.3718184485664[/C][C]0.182214348056536[/C][/ROW]
[ROW][C]0.44[/C][C]99.4042370375164[/C][C]0.179113944113342[/C][/ROW]
[ROW][C]0.45[/C][C]99.4358993765049[/C][C]0.173190802665308[/C][/ROW]
[ROW][C]0.46[/C][C]99.4663480492934[/C][C]0.164824111641166[/C][/ROW]
[ROW][C]0.47[/C][C]99.4952419798587[/C][C]0.154819776528306[/C][/ROW]
[ROW][C]0.48[/C][C]99.5223696339497[/C][C]0.144125136789675[/C][/ROW]
[ROW][C]0.49[/C][C]99.5476468858192[/C][C]0.133227115342204[/C][/ROW]
[ROW][C]0.5[/C][C]99.5711019713111[/C][C]0.122977161802653[/C][/ROW]
[ROW][C]0.51[/C][C]99.5928516673262[/C][C]0.113698480310876[/C][/ROW]
[ROW][C]0.52[/C][C]99.6130735582399[/C][C]0.105634306726362[/C][/ROW]
[ROW][C]0.53[/C][C]99.6319789565178[/C][C]0.0988403204036305[/C][/ROW]
[ROW][C]0.54[/C][C]99.6497899467033[/C][C]0.0933568070302342[/C][/ROW]
[ROW][C]0.55[/C][C]99.666722477938[/C][C]0.0890380062249231[/C][/ROW]
[ROW][C]0.56[/C][C]99.6829758482219[/C][C]0.0857834118228626[/C][/ROW]
[ROW][C]0.57[/C][C]99.6987276607758[/C][C]0.0834114184898923[/C][/ROW]
[ROW][C]0.58[/C][C]99.7141326177591[/C][C]0.0816208838330627[/C][/ROW]
[ROW][C]0.59[/C][C]99.7293234088679[/C][C]0.0805885584618151[/C][/ROW]
[ROW][C]0.6[/C][C]99.7444123452419[/C][C]0.0799740991784738[/C][/ROW]
[ROW][C]0.61[/C][C]99.7594930523736[/C][C]0.0798533638468808[/C][/ROW]
[ROW][C]0.62[/C][C]99.7746421882894[/C][C]0.0800688673274014[/C][/ROW]
[ROW][C]0.63[/C][C]99.7899215484922[/C][C]0.0805438696447776[/C][/ROW]
[ROW][C]0.64[/C][C]99.8053809205502[/C][C]0.0810884652493828[/C][/ROW]
[ROW][C]0.65[/C][C]99.8210616769995[/C][C]0.0819202360259347[/C][/ROW]
[ROW][C]0.66[/C][C]99.8370005152052[/C][C]0.0825837739421937[/C][/ROW]
[ROW][C]0.67[/C][C]99.8532322335745[/C][C]0.0834857169686787[/C][/ROW]
[ROW][C]0.68[/C][C]99.869790244239[/C][C]0.0844593477427194[/C][/ROW]
[ROW][C]0.69[/C][C]99.8867038298513[/C][C]0.0855432268199133[/C][/ROW]
[ROW][C]0.7[/C][C]99.9039919429391[/C][C]0.0867169033564647[/C][/ROW]
[ROW][C]0.71[/C][C]99.9216544097182[/C][C]0.0878781527271847[/C][/ROW]
[ROW][C]0.72[/C][C]99.9396623892513[/C][C]0.0888368553583541[/C][/ROW]
[ROW][C]0.73[/C][C]99.957950493565[/C][C]0.089348778819189[/C][/ROW]
[ROW][C]0.74[/C][C]99.9764128659343[/C][C]0.0892329774927336[/C][/ROW]
[ROW][C]0.75[/C][C]99.9949047472852[/C][C]0.088223213744084[/C][/ROW]
[ROW][C]0.76[/C][C]100.013249881192[/C][C]0.086246532819623[/C][/ROW]
[ROW][C]0.77[/C][C]100.03125290565[/C][C]0.083298681172534[/C][/ROW]
[ROW][C]0.78[/C][C]100.048715015719[/C][C]0.0793205327481163[/C][/ROW]
[ROW][C]0.79[/C][C]100.065450826977[/C][C]0.0745620504569666[/C][/ROW]
[ROW][C]0.8[/C][C]100.081304447254[/C][C]0.0691201441434048[/C][/ROW]
[ROW][C]0.81[/C][C]100.096163032965[/C][C]0.0633443879996894[/C][/ROW]
[ROW][C]0.82[/C][C]100.109966362057[/C][C]0.0573597501777378[/C][/ROW]
[ROW][C]0.83[/C][C]100.122711218342[/C][C]0.0515417283263666[/C][/ROW]
[ROW][C]0.84[/C][C]100.134449923162[/C][C]0.0460517516965749[/C][/ROW]
[ROW][C]0.85[/C][C]100.145283483236[/C][C]0.0411655466292678[/C][/ROW]
[ROW][C]0.86[/C][C]100.155351555791[/C][C]0.0370203836426832[/C][/ROW]
[ROW][C]0.87[/C][C]100.164823282674[/C][C]0.0336286792001398[/C][/ROW]
[ROW][C]0.88[/C][C]100.173894399208[/C][C]0.0309879212824393[/C][/ROW]
[ROW][C]0.89[/C][C]100.18279712493[/C][C]0.0290739505760115[/C][/ROW]
[ROW][C]0.9[/C][C]100.191832239178[/C][C]0.0279867626689198[/C][/ROW]
[ROW][C]0.91[/C][C]100.201440372227[/C][C]0.0279100741935853[/C][/ROW]
[ROW][C]0.92[/C][C]100.212340798199[/C][C]0.0292174023410977[/C][/ROW]
[ROW][C]0.93[/C][C]100.225767374549[/C][C]0.0329017096640344[/C][/ROW]
[ROW][C]0.94[/C][C]100.243792087842[/C][C]0.0407181258957971[/C][/ROW]
[ROW][C]0.95[/C][C]100.269605964279[/C][C]0.0548566420242115[/C][/ROW]
[ROW][C]0.96[/C][C]100.307376004797[/C][C]0.0757775480974425[/C][/ROW]
[ROW][C]0.97[/C][C]100.360844136165[/C][C]0.100227464163374[/C][/ROW]
[ROW][C]0.98[/C][C]100.429334152615[/C][C]0.122190852891241[/C][/ROW]
[ROW][C]0.99[/C][C]100.5009705374[/C][C]0.13817281826729[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0198.81143240374320.0317145366140357
0.0298.82915123513850.0326103647107929
0.0398.84709121845880.0288814935666163
0.0498.86179594539110.0223407408100684
0.0598.87267253526620.0167280134191807
0.0698.88069558133550.0145139590393724
0.0798.887254524040.0158224640794515
0.0898.89352703008990.0192482717328745
0.0998.90027619668870.0236782036219904
0.198.90787275743580.0283036466439713
0.1198.91638981816440.0324910835731536
0.1298.92569787109790.035896879468325
0.1398.9355441243270.0379999744568428
0.1498.94562050689440.0387659341573241
0.1598.95562347644290.0384412904038833
0.1698.96530259931140.0371018818955952
0.1798.97449227086840.0353239080047278
0.1898.98312305957450.0335051553382385
0.1998.99121375638360.032057337594432
0.298.99884959374390.0311027371887942
0.2199.00615449213990.0307706691941811
0.2299.01326508526230.0311922631652742
0.2399.02031218067240.0319020435604385
0.2499.02741227657230.0331574321450073
0.2599.03466884288180.0346981715497187
0.2699.04218100950.0366861869365589
0.2799.05005632831610.0391934991261078
0.2899.05842421788430.0424777545273685
0.2999.06744717473620.0467286143241163
0.399.07732746289290.0521989549548994
0.3199.08830755841680.0593566354497865
0.3299.10066312888970.0681373836502387
0.3399.11468792359920.0788149406205912
0.3499.13067082000010.0909370914976042
0.3599.14886648647880.104603895702164
0.3699.16946255706330.119112645494858
0.3799.19254755544860.133774561967378
0.3899.21808463686360.147816220038679
0.3999.24589616236370.160341782504978
0.499.27566299343790.17066562206981
0.4199.3069402871820.177921194220081
0.4299.3391888603010.181843876313262
0.4399.37181844856640.182214348056536
0.4499.40423703751640.179113944113342
0.4599.43589937650490.173190802665308
0.4699.46634804929340.164824111641166
0.4799.49524197985870.154819776528306
0.4899.52236963394970.144125136789675
0.4999.54764688581920.133227115342204
0.599.57110197131110.122977161802653
0.5199.59285166732620.113698480310876
0.5299.61307355823990.105634306726362
0.5399.63197895651780.0988403204036305
0.5499.64978994670330.0933568070302342
0.5599.6667224779380.0890380062249231
0.5699.68297584822190.0857834118228626
0.5799.69872766077580.0834114184898923
0.5899.71413261775910.0816208838330627
0.5999.72932340886790.0805885584618151
0.699.74441234524190.0799740991784738
0.6199.75949305237360.0798533638468808
0.6299.77464218828940.0800688673274014
0.6399.78992154849220.0805438696447776
0.6499.80538092055020.0810884652493828
0.6599.82106167699950.0819202360259347
0.6699.83700051520520.0825837739421937
0.6799.85323223357450.0834857169686787
0.6899.8697902442390.0844593477427194
0.6999.88670382985130.0855432268199133
0.799.90399194293910.0867169033564647
0.7199.92165440971820.0878781527271847
0.7299.93966238925130.0888368553583541
0.7399.9579504935650.089348778819189
0.7499.97641286593430.0892329774927336
0.7599.99490474728520.088223213744084
0.76100.0132498811920.086246532819623
0.77100.031252905650.083298681172534
0.78100.0487150157190.0793205327481163
0.79100.0654508269770.0745620504569666
0.8100.0813044472540.0691201441434048
0.81100.0961630329650.0633443879996894
0.82100.1099663620570.0573597501777378
0.83100.1227112183420.0515417283263666
0.84100.1344499231620.0460517516965749
0.85100.1452834832360.0411655466292678
0.86100.1553515557910.0370203836426832
0.87100.1648232826740.0336286792001398
0.88100.1738943992080.0309879212824393
0.89100.182797124930.0290739505760115
0.9100.1918322391780.0279867626689198
0.91100.2014403722270.0279100741935853
0.92100.2123407981990.0292174023410977
0.93100.2257673745490.0329017096640344
0.94100.2437920878420.0407181258957971
0.95100.2696059642790.0548566420242115
0.96100.3073760047970.0757775480974425
0.97100.3608441361650.100227464163374
0.98100.4293341526150.122190852891241
0.99100.50097053740.13817281826729


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')