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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 computationThu, 02 Mar 2017 13:32:05 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Mar/02/t14884615726nbshysdu60c7pm.htm/, Retrieved Tue, 14 May 2024 04:27:03 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 04:27:03 +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 
92.81
92.82
92.82
92.88
93.38
93.89
94.1
94.18
94.3
94.31
94.36
94.38
94.38
94.5
94.57
94.89
96.71
97.57
97.88
97.97
98.4
98.51
98.46
98.46
98.48
98.6
98.6
98.71
99.13
99.2
99.3
100.18
101.37
101.77
102.28
102.38
102.35
103.23
105.37
106.62
107
107.24
107.31
107.35
107.42
107.58
107.64
107.64
107.68
108.51
110.37
111.31
111.57
111.66
111.69
111.9
111.95
112.04
112.13
112.14
112.13
113.59
115.03
115.7
116.1
116.12
116.32
116.51
116.63
116.92
116.96
117.15

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'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 & 2 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]2 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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.81981066969840.031200491687322
0.0292.85023292207280.100497140471666
0.0392.91404085062090.21181400091443
0.0493.01901283033460.337557800796882
0.0593.16293486322490.442908920503851
0.0693.3339329310530.503133385871074
0.0793.51517254787480.512019045310634
0.0893.69060192949720.479352002872521
0.0993.84902931857620.423483864054352
0.193.98563046528820.363721275140767
0.1194.10141891284760.316703043596308
0.1294.2017268219480.296615548463955
0.1394.29454881938080.314036687968238
0.1494.38915032714560.373421010622662
0.1594.49497448215080.472748547451517
0.1694.62072280686730.60619228149578
0.1794.77350304893980.76470843028163
0.1894.95804054407860.935999525402843
0.1995.17604970795911.10541469248721
0.295.42590667120131.25701051906693
0.2195.70273794183031.37635559790676
0.2295.9989592230581.45233814803142
0.2396.30519660733941.4791425272213
0.2496.6114358354761.45659573707117
0.2596.90820106756041.3901861561365
0.2697.18757242512911.2898165771522
0.2797.4439034249011.16769297887891
0.2897.67417511824961.03705172406764
0.2997.87799960068630.910485212823693
0.398.0573426092050.799129575481854
0.3198.21606375768290.712175426330981
0.3298.35937419737040.656190173312948
0.3398.49329296703680.63561236556273
0.3498.62415575299750.651310051853348
0.3598.75820292004220.701125106737741
0.3698.90125374720910.780763868829
0.3799.058462913560.884808078095608
0.3899.23415207896131.00783780597897
0.3999.43171051094461.14458998942698
0.499.65356029279521.28967577380486
0.4199.90118079023891.43831442775276
0.42100.1751826292721.58624808773992
0.43100.4754144041811.73028045647285
0.44100.8010783798611.86758433868876
0.45101.150828059671.99601337942736
0.46101.5228236501572.11388061224583
0.47101.9147323923962.21891278770732
0.48102.3236780909722.30810101760902
0.49102.7461640184412.37761631037368
0.5103.1780101142432.42317539388916
0.51103.6143534268852.43989710692579
0.52104.049756284672.42421235050521
0.53104.4784491647082.37376126427
0.54104.8947077628322.28905973516361
0.55105.2933323837192.17375201368143
0.56105.6701697815242.03435946969283
0.57106.0225995440191.88046842413854
0.58106.3499031313281.72422012797804
0.59106.6534445707591.57838884105414
0.6106.9366153196131.45570752826831
0.61107.2045276460431.36776641590134
0.62107.4634760269851.32181994327643
0.63107.7202198189871.31986087646602
0.64107.9811688659431.35709357110142
0.65108.2515734345951.42278467834387
0.66108.5348279184441.50254300235481
0.67108.8319915135221.58112422108489
0.68109.141607010081.64347647551387
0.69109.4598616970481.67730747500861
0.7109.7810862575111.67430073388194
0.71110.0985361595921.63094391851883
0.72110.405355452711.54890916984384
0.73110.6955946558341.43521759578718
0.74110.9651483178851.3009861293615
0.75111.2124931620851.16034274383453
0.76111.4391371545541.02925898885722
0.77111.6497222529430.924352873295986
0.78111.8517495515360.861223245521509
0.79112.0549131026620.852145690770759
0.8112.2700464781740.900889930764875
0.81112.5077207159091.00072858522802
0.82112.7765990467921.1354692113629
0.83113.0817537181191.28316067235372
0.84113.4232590132141.41842913177531
0.85113.7954420018251.51600569679391
0.86114.1871380799931.55474122140429
0.87114.5831214401531.52224847530772
0.88114.9665742131981.41834267678461
0.89115.322105315061.2557478369883
0.9115.6385658704821.0576692906601
0.91115.9108629832250.852098769372142
0.92116.1402061249090.665046717993828
0.93116.3326862014820.514224496632307
0.94116.4966743186680.404778492690202
0.95116.6400940694120.328287827347678
0.96116.7688671785730.268367268828879
0.97116.8869999435840.213893959141791
0.98116.9961320534520.173261132163762
0.99117.0903727960390.168539603993242

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.8198106696984 & 0.031200491687322 \tabularnewline
0.02 & 92.8502329220728 & 0.100497140471666 \tabularnewline
0.03 & 92.9140408506209 & 0.21181400091443 \tabularnewline
0.04 & 93.0190128303346 & 0.337557800796882 \tabularnewline
0.05 & 93.1629348632249 & 0.442908920503851 \tabularnewline
0.06 & 93.333932931053 & 0.503133385871074 \tabularnewline
0.07 & 93.5151725478748 & 0.512019045310634 \tabularnewline
0.08 & 93.6906019294972 & 0.479352002872521 \tabularnewline
0.09 & 93.8490293185762 & 0.423483864054352 \tabularnewline
0.1 & 93.9856304652882 & 0.363721275140767 \tabularnewline
0.11 & 94.1014189128476 & 0.316703043596308 \tabularnewline
0.12 & 94.201726821948 & 0.296615548463955 \tabularnewline
0.13 & 94.2945488193808 & 0.314036687968238 \tabularnewline
0.14 & 94.3891503271456 & 0.373421010622662 \tabularnewline
0.15 & 94.4949744821508 & 0.472748547451517 \tabularnewline
0.16 & 94.6207228068673 & 0.60619228149578 \tabularnewline
0.17 & 94.7735030489398 & 0.76470843028163 \tabularnewline
0.18 & 94.9580405440786 & 0.935999525402843 \tabularnewline
0.19 & 95.1760497079591 & 1.10541469248721 \tabularnewline
0.2 & 95.4259066712013 & 1.25701051906693 \tabularnewline
0.21 & 95.7027379418303 & 1.37635559790676 \tabularnewline
0.22 & 95.998959223058 & 1.45233814803142 \tabularnewline
0.23 & 96.3051966073394 & 1.4791425272213 \tabularnewline
0.24 & 96.611435835476 & 1.45659573707117 \tabularnewline
0.25 & 96.9082010675604 & 1.3901861561365 \tabularnewline
0.26 & 97.1875724251291 & 1.2898165771522 \tabularnewline
0.27 & 97.443903424901 & 1.16769297887891 \tabularnewline
0.28 & 97.6741751182496 & 1.03705172406764 \tabularnewline
0.29 & 97.8779996006863 & 0.910485212823693 \tabularnewline
0.3 & 98.057342609205 & 0.799129575481854 \tabularnewline
0.31 & 98.2160637576829 & 0.712175426330981 \tabularnewline
0.32 & 98.3593741973704 & 0.656190173312948 \tabularnewline
0.33 & 98.4932929670368 & 0.63561236556273 \tabularnewline
0.34 & 98.6241557529975 & 0.651310051853348 \tabularnewline
0.35 & 98.7582029200422 & 0.701125106737741 \tabularnewline
0.36 & 98.9012537472091 & 0.780763868829 \tabularnewline
0.37 & 99.05846291356 & 0.884808078095608 \tabularnewline
0.38 & 99.2341520789613 & 1.00783780597897 \tabularnewline
0.39 & 99.4317105109446 & 1.14458998942698 \tabularnewline
0.4 & 99.6535602927952 & 1.28967577380486 \tabularnewline
0.41 & 99.9011807902389 & 1.43831442775276 \tabularnewline
0.42 & 100.175182629272 & 1.58624808773992 \tabularnewline
0.43 & 100.475414404181 & 1.73028045647285 \tabularnewline
0.44 & 100.801078379861 & 1.86758433868876 \tabularnewline
0.45 & 101.15082805967 & 1.99601337942736 \tabularnewline
0.46 & 101.522823650157 & 2.11388061224583 \tabularnewline
0.47 & 101.914732392396 & 2.21891278770732 \tabularnewline
0.48 & 102.323678090972 & 2.30810101760902 \tabularnewline
0.49 & 102.746164018441 & 2.37761631037368 \tabularnewline
0.5 & 103.178010114243 & 2.42317539388916 \tabularnewline
0.51 & 103.614353426885 & 2.43989710692579 \tabularnewline
0.52 & 104.04975628467 & 2.42421235050521 \tabularnewline
0.53 & 104.478449164708 & 2.37376126427 \tabularnewline
0.54 & 104.894707762832 & 2.28905973516361 \tabularnewline
0.55 & 105.293332383719 & 2.17375201368143 \tabularnewline
0.56 & 105.670169781524 & 2.03435946969283 \tabularnewline
0.57 & 106.022599544019 & 1.88046842413854 \tabularnewline
0.58 & 106.349903131328 & 1.72422012797804 \tabularnewline
0.59 & 106.653444570759 & 1.57838884105414 \tabularnewline
0.6 & 106.936615319613 & 1.45570752826831 \tabularnewline
0.61 & 107.204527646043 & 1.36776641590134 \tabularnewline
0.62 & 107.463476026985 & 1.32181994327643 \tabularnewline
0.63 & 107.720219818987 & 1.31986087646602 \tabularnewline
0.64 & 107.981168865943 & 1.35709357110142 \tabularnewline
0.65 & 108.251573434595 & 1.42278467834387 \tabularnewline
0.66 & 108.534827918444 & 1.50254300235481 \tabularnewline
0.67 & 108.831991513522 & 1.58112422108489 \tabularnewline
0.68 & 109.14160701008 & 1.64347647551387 \tabularnewline
0.69 & 109.459861697048 & 1.67730747500861 \tabularnewline
0.7 & 109.781086257511 & 1.67430073388194 \tabularnewline
0.71 & 110.098536159592 & 1.63094391851883 \tabularnewline
0.72 & 110.40535545271 & 1.54890916984384 \tabularnewline
0.73 & 110.695594655834 & 1.43521759578718 \tabularnewline
0.74 & 110.965148317885 & 1.3009861293615 \tabularnewline
0.75 & 111.212493162085 & 1.16034274383453 \tabularnewline
0.76 & 111.439137154554 & 1.02925898885722 \tabularnewline
0.77 & 111.649722252943 & 0.924352873295986 \tabularnewline
0.78 & 111.851749551536 & 0.861223245521509 \tabularnewline
0.79 & 112.054913102662 & 0.852145690770759 \tabularnewline
0.8 & 112.270046478174 & 0.900889930764875 \tabularnewline
0.81 & 112.507720715909 & 1.00072858522802 \tabularnewline
0.82 & 112.776599046792 & 1.1354692113629 \tabularnewline
0.83 & 113.081753718119 & 1.28316067235372 \tabularnewline
0.84 & 113.423259013214 & 1.41842913177531 \tabularnewline
0.85 & 113.795442001825 & 1.51600569679391 \tabularnewline
0.86 & 114.187138079993 & 1.55474122140429 \tabularnewline
0.87 & 114.583121440153 & 1.52224847530772 \tabularnewline
0.88 & 114.966574213198 & 1.41834267678461 \tabularnewline
0.89 & 115.32210531506 & 1.2557478369883 \tabularnewline
0.9 & 115.638565870482 & 1.0576692906601 \tabularnewline
0.91 & 115.910862983225 & 0.852098769372142 \tabularnewline
0.92 & 116.140206124909 & 0.665046717993828 \tabularnewline
0.93 & 116.332686201482 & 0.514224496632307 \tabularnewline
0.94 & 116.496674318668 & 0.404778492690202 \tabularnewline
0.95 & 116.640094069412 & 0.328287827347678 \tabularnewline
0.96 & 116.768867178573 & 0.268367268828879 \tabularnewline
0.97 & 116.886999943584 & 0.213893959141791 \tabularnewline
0.98 & 116.996132053452 & 0.173261132163762 \tabularnewline
0.99 & 117.090372796039 & 0.168539603993242 \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]92.8198106696984[/C][C]0.031200491687322[/C][/ROW]
[ROW][C]0.02[/C][C]92.8502329220728[/C][C]0.100497140471666[/C][/ROW]
[ROW][C]0.03[/C][C]92.9140408506209[/C][C]0.21181400091443[/C][/ROW]
[ROW][C]0.04[/C][C]93.0190128303346[/C][C]0.337557800796882[/C][/ROW]
[ROW][C]0.05[/C][C]93.1629348632249[/C][C]0.442908920503851[/C][/ROW]
[ROW][C]0.06[/C][C]93.333932931053[/C][C]0.503133385871074[/C][/ROW]
[ROW][C]0.07[/C][C]93.5151725478748[/C][C]0.512019045310634[/C][/ROW]
[ROW][C]0.08[/C][C]93.6906019294972[/C][C]0.479352002872521[/C][/ROW]
[ROW][C]0.09[/C][C]93.8490293185762[/C][C]0.423483864054352[/C][/ROW]
[ROW][C]0.1[/C][C]93.9856304652882[/C][C]0.363721275140767[/C][/ROW]
[ROW][C]0.11[/C][C]94.1014189128476[/C][C]0.316703043596308[/C][/ROW]
[ROW][C]0.12[/C][C]94.201726821948[/C][C]0.296615548463955[/C][/ROW]
[ROW][C]0.13[/C][C]94.2945488193808[/C][C]0.314036687968238[/C][/ROW]
[ROW][C]0.14[/C][C]94.3891503271456[/C][C]0.373421010622662[/C][/ROW]
[ROW][C]0.15[/C][C]94.4949744821508[/C][C]0.472748547451517[/C][/ROW]
[ROW][C]0.16[/C][C]94.6207228068673[/C][C]0.60619228149578[/C][/ROW]
[ROW][C]0.17[/C][C]94.7735030489398[/C][C]0.76470843028163[/C][/ROW]
[ROW][C]0.18[/C][C]94.9580405440786[/C][C]0.935999525402843[/C][/ROW]
[ROW][C]0.19[/C][C]95.1760497079591[/C][C]1.10541469248721[/C][/ROW]
[ROW][C]0.2[/C][C]95.4259066712013[/C][C]1.25701051906693[/C][/ROW]
[ROW][C]0.21[/C][C]95.7027379418303[/C][C]1.37635559790676[/C][/ROW]
[ROW][C]0.22[/C][C]95.998959223058[/C][C]1.45233814803142[/C][/ROW]
[ROW][C]0.23[/C][C]96.3051966073394[/C][C]1.4791425272213[/C][/ROW]
[ROW][C]0.24[/C][C]96.611435835476[/C][C]1.45659573707117[/C][/ROW]
[ROW][C]0.25[/C][C]96.9082010675604[/C][C]1.3901861561365[/C][/ROW]
[ROW][C]0.26[/C][C]97.1875724251291[/C][C]1.2898165771522[/C][/ROW]
[ROW][C]0.27[/C][C]97.443903424901[/C][C]1.16769297887891[/C][/ROW]
[ROW][C]0.28[/C][C]97.6741751182496[/C][C]1.03705172406764[/C][/ROW]
[ROW][C]0.29[/C][C]97.8779996006863[/C][C]0.910485212823693[/C][/ROW]
[ROW][C]0.3[/C][C]98.057342609205[/C][C]0.799129575481854[/C][/ROW]
[ROW][C]0.31[/C][C]98.2160637576829[/C][C]0.712175426330981[/C][/ROW]
[ROW][C]0.32[/C][C]98.3593741973704[/C][C]0.656190173312948[/C][/ROW]
[ROW][C]0.33[/C][C]98.4932929670368[/C][C]0.63561236556273[/C][/ROW]
[ROW][C]0.34[/C][C]98.6241557529975[/C][C]0.651310051853348[/C][/ROW]
[ROW][C]0.35[/C][C]98.7582029200422[/C][C]0.701125106737741[/C][/ROW]
[ROW][C]0.36[/C][C]98.9012537472091[/C][C]0.780763868829[/C][/ROW]
[ROW][C]0.37[/C][C]99.05846291356[/C][C]0.884808078095608[/C][/ROW]
[ROW][C]0.38[/C][C]99.2341520789613[/C][C]1.00783780597897[/C][/ROW]
[ROW][C]0.39[/C][C]99.4317105109446[/C][C]1.14458998942698[/C][/ROW]
[ROW][C]0.4[/C][C]99.6535602927952[/C][C]1.28967577380486[/C][/ROW]
[ROW][C]0.41[/C][C]99.9011807902389[/C][C]1.43831442775276[/C][/ROW]
[ROW][C]0.42[/C][C]100.175182629272[/C][C]1.58624808773992[/C][/ROW]
[ROW][C]0.43[/C][C]100.475414404181[/C][C]1.73028045647285[/C][/ROW]
[ROW][C]0.44[/C][C]100.801078379861[/C][C]1.86758433868876[/C][/ROW]
[ROW][C]0.45[/C][C]101.15082805967[/C][C]1.99601337942736[/C][/ROW]
[ROW][C]0.46[/C][C]101.522823650157[/C][C]2.11388061224583[/C][/ROW]
[ROW][C]0.47[/C][C]101.914732392396[/C][C]2.21891278770732[/C][/ROW]
[ROW][C]0.48[/C][C]102.323678090972[/C][C]2.30810101760902[/C][/ROW]
[ROW][C]0.49[/C][C]102.746164018441[/C][C]2.37761631037368[/C][/ROW]
[ROW][C]0.5[/C][C]103.178010114243[/C][C]2.42317539388916[/C][/ROW]
[ROW][C]0.51[/C][C]103.614353426885[/C][C]2.43989710692579[/C][/ROW]
[ROW][C]0.52[/C][C]104.04975628467[/C][C]2.42421235050521[/C][/ROW]
[ROW][C]0.53[/C][C]104.478449164708[/C][C]2.37376126427[/C][/ROW]
[ROW][C]0.54[/C][C]104.894707762832[/C][C]2.28905973516361[/C][/ROW]
[ROW][C]0.55[/C][C]105.293332383719[/C][C]2.17375201368143[/C][/ROW]
[ROW][C]0.56[/C][C]105.670169781524[/C][C]2.03435946969283[/C][/ROW]
[ROW][C]0.57[/C][C]106.022599544019[/C][C]1.88046842413854[/C][/ROW]
[ROW][C]0.58[/C][C]106.349903131328[/C][C]1.72422012797804[/C][/ROW]
[ROW][C]0.59[/C][C]106.653444570759[/C][C]1.57838884105414[/C][/ROW]
[ROW][C]0.6[/C][C]106.936615319613[/C][C]1.45570752826831[/C][/ROW]
[ROW][C]0.61[/C][C]107.204527646043[/C][C]1.36776641590134[/C][/ROW]
[ROW][C]0.62[/C][C]107.463476026985[/C][C]1.32181994327643[/C][/ROW]
[ROW][C]0.63[/C][C]107.720219818987[/C][C]1.31986087646602[/C][/ROW]
[ROW][C]0.64[/C][C]107.981168865943[/C][C]1.35709357110142[/C][/ROW]
[ROW][C]0.65[/C][C]108.251573434595[/C][C]1.42278467834387[/C][/ROW]
[ROW][C]0.66[/C][C]108.534827918444[/C][C]1.50254300235481[/C][/ROW]
[ROW][C]0.67[/C][C]108.831991513522[/C][C]1.58112422108489[/C][/ROW]
[ROW][C]0.68[/C][C]109.14160701008[/C][C]1.64347647551387[/C][/ROW]
[ROW][C]0.69[/C][C]109.459861697048[/C][C]1.67730747500861[/C][/ROW]
[ROW][C]0.7[/C][C]109.781086257511[/C][C]1.67430073388194[/C][/ROW]
[ROW][C]0.71[/C][C]110.098536159592[/C][C]1.63094391851883[/C][/ROW]
[ROW][C]0.72[/C][C]110.40535545271[/C][C]1.54890916984384[/C][/ROW]
[ROW][C]0.73[/C][C]110.695594655834[/C][C]1.43521759578718[/C][/ROW]
[ROW][C]0.74[/C][C]110.965148317885[/C][C]1.3009861293615[/C][/ROW]
[ROW][C]0.75[/C][C]111.212493162085[/C][C]1.16034274383453[/C][/ROW]
[ROW][C]0.76[/C][C]111.439137154554[/C][C]1.02925898885722[/C][/ROW]
[ROW][C]0.77[/C][C]111.649722252943[/C][C]0.924352873295986[/C][/ROW]
[ROW][C]0.78[/C][C]111.851749551536[/C][C]0.861223245521509[/C][/ROW]
[ROW][C]0.79[/C][C]112.054913102662[/C][C]0.852145690770759[/C][/ROW]
[ROW][C]0.8[/C][C]112.270046478174[/C][C]0.900889930764875[/C][/ROW]
[ROW][C]0.81[/C][C]112.507720715909[/C][C]1.00072858522802[/C][/ROW]
[ROW][C]0.82[/C][C]112.776599046792[/C][C]1.1354692113629[/C][/ROW]
[ROW][C]0.83[/C][C]113.081753718119[/C][C]1.28316067235372[/C][/ROW]
[ROW][C]0.84[/C][C]113.423259013214[/C][C]1.41842913177531[/C][/ROW]
[ROW][C]0.85[/C][C]113.795442001825[/C][C]1.51600569679391[/C][/ROW]
[ROW][C]0.86[/C][C]114.187138079993[/C][C]1.55474122140429[/C][/ROW]
[ROW][C]0.87[/C][C]114.583121440153[/C][C]1.52224847530772[/C][/ROW]
[ROW][C]0.88[/C][C]114.966574213198[/C][C]1.41834267678461[/C][/ROW]
[ROW][C]0.89[/C][C]115.32210531506[/C][C]1.2557478369883[/C][/ROW]
[ROW][C]0.9[/C][C]115.638565870482[/C][C]1.0576692906601[/C][/ROW]
[ROW][C]0.91[/C][C]115.910862983225[/C][C]0.852098769372142[/C][/ROW]
[ROW][C]0.92[/C][C]116.140206124909[/C][C]0.665046717993828[/C][/ROW]
[ROW][C]0.93[/C][C]116.332686201482[/C][C]0.514224496632307[/C][/ROW]
[ROW][C]0.94[/C][C]116.496674318668[/C][C]0.404778492690202[/C][/ROW]
[ROW][C]0.95[/C][C]116.640094069412[/C][C]0.328287827347678[/C][/ROW]
[ROW][C]0.96[/C][C]116.768867178573[/C][C]0.268367268828879[/C][/ROW]
[ROW][C]0.97[/C][C]116.886999943584[/C][C]0.213893959141791[/C][/ROW]
[ROW][C]0.98[/C][C]116.996132053452[/C][C]0.173261132163762[/C][/ROW]
[ROW][C]0.99[/C][C]117.090372796039[/C][C]0.168539603993242[/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
0.0192.81981066969840.031200491687322
0.0292.85023292207280.100497140471666
0.0392.91404085062090.21181400091443
0.0493.01901283033460.337557800796882
0.0593.16293486322490.442908920503851
0.0693.3339329310530.503133385871074
0.0793.51517254787480.512019045310634
0.0893.69060192949720.479352002872521
0.0993.84902931857620.423483864054352
0.193.98563046528820.363721275140767
0.1194.10141891284760.316703043596308
0.1294.2017268219480.296615548463955
0.1394.29454881938080.314036687968238
0.1494.38915032714560.373421010622662
0.1594.49497448215080.472748547451517
0.1694.62072280686730.60619228149578
0.1794.77350304893980.76470843028163
0.1894.95804054407860.935999525402843
0.1995.17604970795911.10541469248721
0.295.42590667120131.25701051906693
0.2195.70273794183031.37635559790676
0.2295.9989592230581.45233814803142
0.2396.30519660733941.4791425272213
0.2496.6114358354761.45659573707117
0.2596.90820106756041.3901861561365
0.2697.18757242512911.2898165771522
0.2797.4439034249011.16769297887891
0.2897.67417511824961.03705172406764
0.2997.87799960068630.910485212823693
0.398.0573426092050.799129575481854
0.3198.21606375768290.712175426330981
0.3298.35937419737040.656190173312948
0.3398.49329296703680.63561236556273
0.3498.62415575299750.651310051853348
0.3598.75820292004220.701125106737741
0.3698.90125374720910.780763868829
0.3799.058462913560.884808078095608
0.3899.23415207896131.00783780597897
0.3999.43171051094461.14458998942698
0.499.65356029279521.28967577380486
0.4199.90118079023891.43831442775276
0.42100.1751826292721.58624808773992
0.43100.4754144041811.73028045647285
0.44100.8010783798611.86758433868876
0.45101.150828059671.99601337942736
0.46101.5228236501572.11388061224583
0.47101.9147323923962.21891278770732
0.48102.3236780909722.30810101760902
0.49102.7461640184412.37761631037368
0.5103.1780101142432.42317539388916
0.51103.6143534268852.43989710692579
0.52104.049756284672.42421235050521
0.53104.4784491647082.37376126427
0.54104.8947077628322.28905973516361
0.55105.2933323837192.17375201368143
0.56105.6701697815242.03435946969283
0.57106.0225995440191.88046842413854
0.58106.3499031313281.72422012797804
0.59106.6534445707591.57838884105414
0.6106.9366153196131.45570752826831
0.61107.2045276460431.36776641590134
0.62107.4634760269851.32181994327643
0.63107.7202198189871.31986087646602
0.64107.9811688659431.35709357110142
0.65108.2515734345951.42278467834387
0.66108.5348279184441.50254300235481
0.67108.8319915135221.58112422108489
0.68109.141607010081.64347647551387
0.69109.4598616970481.67730747500861
0.7109.7810862575111.67430073388194
0.71110.0985361595921.63094391851883
0.72110.405355452711.54890916984384
0.73110.6955946558341.43521759578718
0.74110.9651483178851.3009861293615
0.75111.2124931620851.16034274383453
0.76111.4391371545541.02925898885722
0.77111.6497222529430.924352873295986
0.78111.8517495515360.861223245521509
0.79112.0549131026620.852145690770759
0.8112.2700464781740.900889930764875
0.81112.5077207159091.00072858522802
0.82112.7765990467921.1354692113629
0.83113.0817537181191.28316067235372
0.84113.4232590132141.41842913177531
0.85113.7954420018251.51600569679391
0.86114.1871380799931.55474122140429
0.87114.5831214401531.52224847530772
0.88114.9665742131981.41834267678461
0.89115.322105315061.2557478369883
0.9115.6385658704821.0576692906601
0.91115.9108629832250.852098769372142
0.92116.1402061249090.665046717993828
0.93116.3326862014820.514224496632307
0.94116.4966743186680.404778492690202
0.95116.6400940694120.328287827347678
0.96116.7688671785730.268367268828879
0.97116.8869999435840.213893959141791
0.98116.9961320534520.173261132163762
0.99117.0903727960390.168539603993242


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')