Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 10 Mar 2010 15:42:34 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/10/t1268261025p4bmr4ajikl32dc.htm/, Retrieved Fri, 28 Jan 2022 08:00:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74320, Retrieved Fri, 28 Jan 2022 08:00:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact95
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2010-03-10 22:42:34] [0291ee60c135beb64d296f3dc8feb2dc] [Current]
Feedback Forum

Post a new message
Dataseries X:
93.2  
96
 95.2   
 77.1
 70.9
 64.8
 70.1
 77.3
 79.5
100.6
100.7
107.1
 95.9
 82.8
 83.3
80
 80.4
 67.5
 75.7
 71.1
 89.3
101.1
105.2
114.1
 96.3
 84.4
 91.2
 81.9
 80.5
 70.4
 74.8
 75.9
 86.3
 98.7
100.9
113.8
 89.8
 84.4
 87.2
 85.6
72
 69.2
 77.5
 78.1
 94.3
 97.7
100.2
116.4
 97.1
93
96
 80.5
 76.1
 69.9
 73.6
 92.6
 94.2
 93.5
108.5
109.4
105.1
 92.5
 97.1
 81.4
 79.1
 72.1
 78.7
 87.1
 91.4
109.9
116.3
113
100
 84.8
 94.3
 87.1
 90.3
 72.4
 84.9
 92.7
 92.2
114.9
112.5
118.3
106
 91.2
 96.6
 96.3
 88.2
 70.2
 86.5
 88.2
102.8
119.1
119.2
125.1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74320&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74320&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74320&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0166.00304357841682.22236357133778
0.0267.54977891641471.66970530280742
0.0368.73312750039221.18665378435217
0.0469.4956146092170.845345825797235
0.0569.9953322645630.703202770658954
0.0670.37730057851180.739601785601333
0.0770.73416397743030.882038673967345
0.0871.11568921043921.07394712475014
0.0971.54379932608761.28540767557561
0.172.02427293538771.49743095174627
0.1172.55347192534421.69056850086186
0.1273.12146846553561.84462627211464
0.1373.71393558557781.94349584864340
0.1474.31442199174491.98182062041478
0.1574.90722833355261.96684843407409
0.1675.48010110801341.91568643387190
0.1776.02582292301091.84915999052465
0.1876.54230627769111.78443536162374
0.1977.03147444143011.73259490367115
0.277.49761164948551.69773879875032
0.2177.94585950495071.67880886426540
0.2278.38125456907081.67396390173171
0.2378.8083575794481.68181602845871
0.2479.23127931483181.70249478549500
0.2579.65382233508221.73708658896973
0.2680.07951042448011.78549427934948
0.2780.51140722476361.84610290558060
0.2880.95176510264971.91410423014315
0.2981.4016422385871.98230662529841
0.381.86065283431572.04307873703809
0.3182.3269730633022.08973984688236
0.3282.7976386551192.11731909814391
0.3383.26907586200162.12494962868191
0.3483.73774033777612.1150076096215
0.3584.20071731511492.09213617075245
0.3684.65616056250682.06323178259267
0.3785.10350025316812.03468972017863
0.3885.54340851266632.01244503781875
0.3985.97755789089072.0004834986871
0.486.40823451106522.00102598484849
0.4186.83787636964692.01349981818242
0.4287.26860547924352.03494386425372
0.4387.70181675686632.06047307180987
0.4488.1378789429752.08425843957926
0.4588.57599146420322.09996514854253
0.4689.01422296452782.10174155763764
0.4789.44973147236172.08556793156555
0.4889.87913613894962.04976898714907
0.4990.29898272579041.99535806111822
0.590.70622671053541.92563341148832
0.5191.0986539374091.84583575234644
0.5291.4751701281411.76269449749844
0.5391.83591440833581.68274432125635
0.5492.18218301968011.61187623072014
0.5592.51618177748671.55434631518861
0.5692.84065460315351.51203204268089
0.5793.15845686478531.48435371939321
0.5893.47215353473761.46845053155868
0.5993.7837211537311.46043018519714
0.694.09441773392421.45551418546893
0.6194.4048558041081.45015041047411
0.6294.71527303967841.44270623550796
0.6395.02594813923681.43379384701218
0.6495.33766648958561.42704199159515
0.6595.65211310690671.42808614272425
0.6695.9720716031711.44349596257997
0.6796.30134528568551.47859165497182
0.6896.6443885530831.53577650403482
0.6997.00572949119131.61370355156374
0.797.3893513304361.70650587553440
0.7197.79824710010551.80661140879973
0.7298.23433796567161.90707529968754
0.7398.69883959339722.00365081481073
0.7499.1929927642742.09757683835311
0.7599.71890032432722.19469072145161
0.76100.2801102438272.30424356424728
0.77100.8816215866662.43332530880312
0.78101.5291836571032.58374391789565
0.79102.2280484052602.74906845539762
0.8102.9815943655112.91577351002317
0.81103.7903248212943.06796471004349
0.82104.6515770371183.19181893468439
0.83105.5599163925783.27905771782897
0.84106.5078152066893.32643904585095
0.85107.4860730577703.33350953113121
0.86108.4836851110563.29750870493961
0.87109.4874509026363.21202516295569
0.88110.4822080605743.06995476166242
0.89111.4526838577372.87089830404593
0.9112.3872467490712.62918333986859
0.91113.2824906082722.37657878093565
0.92114.146329819252.15326978395567
0.93114.9969328368621.98947646737725
0.94115.8561866814891.88527586617943
0.95116.7426390881751.80096691452611
0.96117.6879474315821.68111563013451
0.97118.8235442556491.60407773588979
0.98120.4930741988512.16389243478282
0.99122.9353936473493.9469824679632

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 66.0030435784168 & 2.22236357133778 \tabularnewline
0.02 & 67.5497789164147 & 1.66970530280742 \tabularnewline
0.03 & 68.7331275003922 & 1.18665378435217 \tabularnewline
0.04 & 69.495614609217 & 0.845345825797235 \tabularnewline
0.05 & 69.995332264563 & 0.703202770658954 \tabularnewline
0.06 & 70.3773005785118 & 0.739601785601333 \tabularnewline
0.07 & 70.7341639774303 & 0.882038673967345 \tabularnewline
0.08 & 71.1156892104392 & 1.07394712475014 \tabularnewline
0.09 & 71.5437993260876 & 1.28540767557561 \tabularnewline
0.1 & 72.0242729353877 & 1.49743095174627 \tabularnewline
0.11 & 72.5534719253442 & 1.69056850086186 \tabularnewline
0.12 & 73.1214684655356 & 1.84462627211464 \tabularnewline
0.13 & 73.7139355855778 & 1.94349584864340 \tabularnewline
0.14 & 74.3144219917449 & 1.98182062041478 \tabularnewline
0.15 & 74.9072283335526 & 1.96684843407409 \tabularnewline
0.16 & 75.4801011080134 & 1.91568643387190 \tabularnewline
0.17 & 76.0258229230109 & 1.84915999052465 \tabularnewline
0.18 & 76.5423062776911 & 1.78443536162374 \tabularnewline
0.19 & 77.0314744414301 & 1.73259490367115 \tabularnewline
0.2 & 77.4976116494855 & 1.69773879875032 \tabularnewline
0.21 & 77.9458595049507 & 1.67880886426540 \tabularnewline
0.22 & 78.3812545690708 & 1.67396390173171 \tabularnewline
0.23 & 78.808357579448 & 1.68181602845871 \tabularnewline
0.24 & 79.2312793148318 & 1.70249478549500 \tabularnewline
0.25 & 79.6538223350822 & 1.73708658896973 \tabularnewline
0.26 & 80.0795104244801 & 1.78549427934948 \tabularnewline
0.27 & 80.5114072247636 & 1.84610290558060 \tabularnewline
0.28 & 80.9517651026497 & 1.91410423014315 \tabularnewline
0.29 & 81.401642238587 & 1.98230662529841 \tabularnewline
0.3 & 81.8606528343157 & 2.04307873703809 \tabularnewline
0.31 & 82.326973063302 & 2.08973984688236 \tabularnewline
0.32 & 82.797638655119 & 2.11731909814391 \tabularnewline
0.33 & 83.2690758620016 & 2.12494962868191 \tabularnewline
0.34 & 83.7377403377761 & 2.1150076096215 \tabularnewline
0.35 & 84.2007173151149 & 2.09213617075245 \tabularnewline
0.36 & 84.6561605625068 & 2.06323178259267 \tabularnewline
0.37 & 85.1035002531681 & 2.03468972017863 \tabularnewline
0.38 & 85.5434085126663 & 2.01244503781875 \tabularnewline
0.39 & 85.9775578908907 & 2.0004834986871 \tabularnewline
0.4 & 86.4082345110652 & 2.00102598484849 \tabularnewline
0.41 & 86.8378763696469 & 2.01349981818242 \tabularnewline
0.42 & 87.2686054792435 & 2.03494386425372 \tabularnewline
0.43 & 87.7018167568663 & 2.06047307180987 \tabularnewline
0.44 & 88.137878942975 & 2.08425843957926 \tabularnewline
0.45 & 88.5759914642032 & 2.09996514854253 \tabularnewline
0.46 & 89.0142229645278 & 2.10174155763764 \tabularnewline
0.47 & 89.4497314723617 & 2.08556793156555 \tabularnewline
0.48 & 89.8791361389496 & 2.04976898714907 \tabularnewline
0.49 & 90.2989827257904 & 1.99535806111822 \tabularnewline
0.5 & 90.7062267105354 & 1.92563341148832 \tabularnewline
0.51 & 91.098653937409 & 1.84583575234644 \tabularnewline
0.52 & 91.475170128141 & 1.76269449749844 \tabularnewline
0.53 & 91.8359144083358 & 1.68274432125635 \tabularnewline
0.54 & 92.1821830196801 & 1.61187623072014 \tabularnewline
0.55 & 92.5161817774867 & 1.55434631518861 \tabularnewline
0.56 & 92.8406546031535 & 1.51203204268089 \tabularnewline
0.57 & 93.1584568647853 & 1.48435371939321 \tabularnewline
0.58 & 93.4721535347376 & 1.46845053155868 \tabularnewline
0.59 & 93.783721153731 & 1.46043018519714 \tabularnewline
0.6 & 94.0944177339242 & 1.45551418546893 \tabularnewline
0.61 & 94.404855804108 & 1.45015041047411 \tabularnewline
0.62 & 94.7152730396784 & 1.44270623550796 \tabularnewline
0.63 & 95.0259481392368 & 1.43379384701218 \tabularnewline
0.64 & 95.3376664895856 & 1.42704199159515 \tabularnewline
0.65 & 95.6521131069067 & 1.42808614272425 \tabularnewline
0.66 & 95.972071603171 & 1.44349596257997 \tabularnewline
0.67 & 96.3013452856855 & 1.47859165497182 \tabularnewline
0.68 & 96.644388553083 & 1.53577650403482 \tabularnewline
0.69 & 97.0057294911913 & 1.61370355156374 \tabularnewline
0.7 & 97.389351330436 & 1.70650587553440 \tabularnewline
0.71 & 97.7982471001055 & 1.80661140879973 \tabularnewline
0.72 & 98.2343379656716 & 1.90707529968754 \tabularnewline
0.73 & 98.6988395933972 & 2.00365081481073 \tabularnewline
0.74 & 99.192992764274 & 2.09757683835311 \tabularnewline
0.75 & 99.7189003243272 & 2.19469072145161 \tabularnewline
0.76 & 100.280110243827 & 2.30424356424728 \tabularnewline
0.77 & 100.881621586666 & 2.43332530880312 \tabularnewline
0.78 & 101.529183657103 & 2.58374391789565 \tabularnewline
0.79 & 102.228048405260 & 2.74906845539762 \tabularnewline
0.8 & 102.981594365511 & 2.91577351002317 \tabularnewline
0.81 & 103.790324821294 & 3.06796471004349 \tabularnewline
0.82 & 104.651577037118 & 3.19181893468439 \tabularnewline
0.83 & 105.559916392578 & 3.27905771782897 \tabularnewline
0.84 & 106.507815206689 & 3.32643904585095 \tabularnewline
0.85 & 107.486073057770 & 3.33350953113121 \tabularnewline
0.86 & 108.483685111056 & 3.29750870493961 \tabularnewline
0.87 & 109.487450902636 & 3.21202516295569 \tabularnewline
0.88 & 110.482208060574 & 3.06995476166242 \tabularnewline
0.89 & 111.452683857737 & 2.87089830404593 \tabularnewline
0.9 & 112.387246749071 & 2.62918333986859 \tabularnewline
0.91 & 113.282490608272 & 2.37657878093565 \tabularnewline
0.92 & 114.14632981925 & 2.15326978395567 \tabularnewline
0.93 & 114.996932836862 & 1.98947646737725 \tabularnewline
0.94 & 115.856186681489 & 1.88527586617943 \tabularnewline
0.95 & 116.742639088175 & 1.80096691452611 \tabularnewline
0.96 & 117.687947431582 & 1.68111563013451 \tabularnewline
0.97 & 118.823544255649 & 1.60407773588979 \tabularnewline
0.98 & 120.493074198851 & 2.16389243478282 \tabularnewline
0.99 & 122.935393647349 & 3.9469824679632 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74320&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]66.0030435784168[/C][C]2.22236357133778[/C][/ROW]
[ROW][C]0.02[/C][C]67.5497789164147[/C][C]1.66970530280742[/C][/ROW]
[ROW][C]0.03[/C][C]68.7331275003922[/C][C]1.18665378435217[/C][/ROW]
[ROW][C]0.04[/C][C]69.495614609217[/C][C]0.845345825797235[/C][/ROW]
[ROW][C]0.05[/C][C]69.995332264563[/C][C]0.703202770658954[/C][/ROW]
[ROW][C]0.06[/C][C]70.3773005785118[/C][C]0.739601785601333[/C][/ROW]
[ROW][C]0.07[/C][C]70.7341639774303[/C][C]0.882038673967345[/C][/ROW]
[ROW][C]0.08[/C][C]71.1156892104392[/C][C]1.07394712475014[/C][/ROW]
[ROW][C]0.09[/C][C]71.5437993260876[/C][C]1.28540767557561[/C][/ROW]
[ROW][C]0.1[/C][C]72.0242729353877[/C][C]1.49743095174627[/C][/ROW]
[ROW][C]0.11[/C][C]72.5534719253442[/C][C]1.69056850086186[/C][/ROW]
[ROW][C]0.12[/C][C]73.1214684655356[/C][C]1.84462627211464[/C][/ROW]
[ROW][C]0.13[/C][C]73.7139355855778[/C][C]1.94349584864340[/C][/ROW]
[ROW][C]0.14[/C][C]74.3144219917449[/C][C]1.98182062041478[/C][/ROW]
[ROW][C]0.15[/C][C]74.9072283335526[/C][C]1.96684843407409[/C][/ROW]
[ROW][C]0.16[/C][C]75.4801011080134[/C][C]1.91568643387190[/C][/ROW]
[ROW][C]0.17[/C][C]76.0258229230109[/C][C]1.84915999052465[/C][/ROW]
[ROW][C]0.18[/C][C]76.5423062776911[/C][C]1.78443536162374[/C][/ROW]
[ROW][C]0.19[/C][C]77.0314744414301[/C][C]1.73259490367115[/C][/ROW]
[ROW][C]0.2[/C][C]77.4976116494855[/C][C]1.69773879875032[/C][/ROW]
[ROW][C]0.21[/C][C]77.9458595049507[/C][C]1.67880886426540[/C][/ROW]
[ROW][C]0.22[/C][C]78.3812545690708[/C][C]1.67396390173171[/C][/ROW]
[ROW][C]0.23[/C][C]78.808357579448[/C][C]1.68181602845871[/C][/ROW]
[ROW][C]0.24[/C][C]79.2312793148318[/C][C]1.70249478549500[/C][/ROW]
[ROW][C]0.25[/C][C]79.6538223350822[/C][C]1.73708658896973[/C][/ROW]
[ROW][C]0.26[/C][C]80.0795104244801[/C][C]1.78549427934948[/C][/ROW]
[ROW][C]0.27[/C][C]80.5114072247636[/C][C]1.84610290558060[/C][/ROW]
[ROW][C]0.28[/C][C]80.9517651026497[/C][C]1.91410423014315[/C][/ROW]
[ROW][C]0.29[/C][C]81.401642238587[/C][C]1.98230662529841[/C][/ROW]
[ROW][C]0.3[/C][C]81.8606528343157[/C][C]2.04307873703809[/C][/ROW]
[ROW][C]0.31[/C][C]82.326973063302[/C][C]2.08973984688236[/C][/ROW]
[ROW][C]0.32[/C][C]82.797638655119[/C][C]2.11731909814391[/C][/ROW]
[ROW][C]0.33[/C][C]83.2690758620016[/C][C]2.12494962868191[/C][/ROW]
[ROW][C]0.34[/C][C]83.7377403377761[/C][C]2.1150076096215[/C][/ROW]
[ROW][C]0.35[/C][C]84.2007173151149[/C][C]2.09213617075245[/C][/ROW]
[ROW][C]0.36[/C][C]84.6561605625068[/C][C]2.06323178259267[/C][/ROW]
[ROW][C]0.37[/C][C]85.1035002531681[/C][C]2.03468972017863[/C][/ROW]
[ROW][C]0.38[/C][C]85.5434085126663[/C][C]2.01244503781875[/C][/ROW]
[ROW][C]0.39[/C][C]85.9775578908907[/C][C]2.0004834986871[/C][/ROW]
[ROW][C]0.4[/C][C]86.4082345110652[/C][C]2.00102598484849[/C][/ROW]
[ROW][C]0.41[/C][C]86.8378763696469[/C][C]2.01349981818242[/C][/ROW]
[ROW][C]0.42[/C][C]87.2686054792435[/C][C]2.03494386425372[/C][/ROW]
[ROW][C]0.43[/C][C]87.7018167568663[/C][C]2.06047307180987[/C][/ROW]
[ROW][C]0.44[/C][C]88.137878942975[/C][C]2.08425843957926[/C][/ROW]
[ROW][C]0.45[/C][C]88.5759914642032[/C][C]2.09996514854253[/C][/ROW]
[ROW][C]0.46[/C][C]89.0142229645278[/C][C]2.10174155763764[/C][/ROW]
[ROW][C]0.47[/C][C]89.4497314723617[/C][C]2.08556793156555[/C][/ROW]
[ROW][C]0.48[/C][C]89.8791361389496[/C][C]2.04976898714907[/C][/ROW]
[ROW][C]0.49[/C][C]90.2989827257904[/C][C]1.99535806111822[/C][/ROW]
[ROW][C]0.5[/C][C]90.7062267105354[/C][C]1.92563341148832[/C][/ROW]
[ROW][C]0.51[/C][C]91.098653937409[/C][C]1.84583575234644[/C][/ROW]
[ROW][C]0.52[/C][C]91.475170128141[/C][C]1.76269449749844[/C][/ROW]
[ROW][C]0.53[/C][C]91.8359144083358[/C][C]1.68274432125635[/C][/ROW]
[ROW][C]0.54[/C][C]92.1821830196801[/C][C]1.61187623072014[/C][/ROW]
[ROW][C]0.55[/C][C]92.5161817774867[/C][C]1.55434631518861[/C][/ROW]
[ROW][C]0.56[/C][C]92.8406546031535[/C][C]1.51203204268089[/C][/ROW]
[ROW][C]0.57[/C][C]93.1584568647853[/C][C]1.48435371939321[/C][/ROW]
[ROW][C]0.58[/C][C]93.4721535347376[/C][C]1.46845053155868[/C][/ROW]
[ROW][C]0.59[/C][C]93.783721153731[/C][C]1.46043018519714[/C][/ROW]
[ROW][C]0.6[/C][C]94.0944177339242[/C][C]1.45551418546893[/C][/ROW]
[ROW][C]0.61[/C][C]94.404855804108[/C][C]1.45015041047411[/C][/ROW]
[ROW][C]0.62[/C][C]94.7152730396784[/C][C]1.44270623550796[/C][/ROW]
[ROW][C]0.63[/C][C]95.0259481392368[/C][C]1.43379384701218[/C][/ROW]
[ROW][C]0.64[/C][C]95.3376664895856[/C][C]1.42704199159515[/C][/ROW]
[ROW][C]0.65[/C][C]95.6521131069067[/C][C]1.42808614272425[/C][/ROW]
[ROW][C]0.66[/C][C]95.972071603171[/C][C]1.44349596257997[/C][/ROW]
[ROW][C]0.67[/C][C]96.3013452856855[/C][C]1.47859165497182[/C][/ROW]
[ROW][C]0.68[/C][C]96.644388553083[/C][C]1.53577650403482[/C][/ROW]
[ROW][C]0.69[/C][C]97.0057294911913[/C][C]1.61370355156374[/C][/ROW]
[ROW][C]0.7[/C][C]97.389351330436[/C][C]1.70650587553440[/C][/ROW]
[ROW][C]0.71[/C][C]97.7982471001055[/C][C]1.80661140879973[/C][/ROW]
[ROW][C]0.72[/C][C]98.2343379656716[/C][C]1.90707529968754[/C][/ROW]
[ROW][C]0.73[/C][C]98.6988395933972[/C][C]2.00365081481073[/C][/ROW]
[ROW][C]0.74[/C][C]99.192992764274[/C][C]2.09757683835311[/C][/ROW]
[ROW][C]0.75[/C][C]99.7189003243272[/C][C]2.19469072145161[/C][/ROW]
[ROW][C]0.76[/C][C]100.280110243827[/C][C]2.30424356424728[/C][/ROW]
[ROW][C]0.77[/C][C]100.881621586666[/C][C]2.43332530880312[/C][/ROW]
[ROW][C]0.78[/C][C]101.529183657103[/C][C]2.58374391789565[/C][/ROW]
[ROW][C]0.79[/C][C]102.228048405260[/C][C]2.74906845539762[/C][/ROW]
[ROW][C]0.8[/C][C]102.981594365511[/C][C]2.91577351002317[/C][/ROW]
[ROW][C]0.81[/C][C]103.790324821294[/C][C]3.06796471004349[/C][/ROW]
[ROW][C]0.82[/C][C]104.651577037118[/C][C]3.19181893468439[/C][/ROW]
[ROW][C]0.83[/C][C]105.559916392578[/C][C]3.27905771782897[/C][/ROW]
[ROW][C]0.84[/C][C]106.507815206689[/C][C]3.32643904585095[/C][/ROW]
[ROW][C]0.85[/C][C]107.486073057770[/C][C]3.33350953113121[/C][/ROW]
[ROW][C]0.86[/C][C]108.483685111056[/C][C]3.29750870493961[/C][/ROW]
[ROW][C]0.87[/C][C]109.487450902636[/C][C]3.21202516295569[/C][/ROW]
[ROW][C]0.88[/C][C]110.482208060574[/C][C]3.06995476166242[/C][/ROW]
[ROW][C]0.89[/C][C]111.452683857737[/C][C]2.87089830404593[/C][/ROW]
[ROW][C]0.9[/C][C]112.387246749071[/C][C]2.62918333986859[/C][/ROW]
[ROW][C]0.91[/C][C]113.282490608272[/C][C]2.37657878093565[/C][/ROW]
[ROW][C]0.92[/C][C]114.14632981925[/C][C]2.15326978395567[/C][/ROW]
[ROW][C]0.93[/C][C]114.996932836862[/C][C]1.98947646737725[/C][/ROW]
[ROW][C]0.94[/C][C]115.856186681489[/C][C]1.88527586617943[/C][/ROW]
[ROW][C]0.95[/C][C]116.742639088175[/C][C]1.80096691452611[/C][/ROW]
[ROW][C]0.96[/C][C]117.687947431582[/C][C]1.68111563013451[/C][/ROW]
[ROW][C]0.97[/C][C]118.823544255649[/C][C]1.60407773588979[/C][/ROW]
[ROW][C]0.98[/C][C]120.493074198851[/C][C]2.16389243478282[/C][/ROW]
[ROW][C]0.99[/C][C]122.935393647349[/C][C]3.9469824679632[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74320&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74320&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
0.0166.00304357841682.22236357133778
0.0267.54977891641471.66970530280742
0.0368.73312750039221.18665378435217
0.0469.4956146092170.845345825797235
0.0569.9953322645630.703202770658954
0.0670.37730057851180.739601785601333
0.0770.73416397743030.882038673967345
0.0871.11568921043921.07394712475014
0.0971.54379932608761.28540767557561
0.172.02427293538771.49743095174627
0.1172.55347192534421.69056850086186
0.1273.12146846553561.84462627211464
0.1373.71393558557781.94349584864340
0.1474.31442199174491.98182062041478
0.1574.90722833355261.96684843407409
0.1675.48010110801341.91568643387190
0.1776.02582292301091.84915999052465
0.1876.54230627769111.78443536162374
0.1977.03147444143011.73259490367115
0.277.49761164948551.69773879875032
0.2177.94585950495071.67880886426540
0.2278.38125456907081.67396390173171
0.2378.8083575794481.68181602845871
0.2479.23127931483181.70249478549500
0.2579.65382233508221.73708658896973
0.2680.07951042448011.78549427934948
0.2780.51140722476361.84610290558060
0.2880.95176510264971.91410423014315
0.2981.4016422385871.98230662529841
0.381.86065283431572.04307873703809
0.3182.3269730633022.08973984688236
0.3282.7976386551192.11731909814391
0.3383.26907586200162.12494962868191
0.3483.73774033777612.1150076096215
0.3584.20071731511492.09213617075245
0.3684.65616056250682.06323178259267
0.3785.10350025316812.03468972017863
0.3885.54340851266632.01244503781875
0.3985.97755789089072.0004834986871
0.486.40823451106522.00102598484849
0.4186.83787636964692.01349981818242
0.4287.26860547924352.03494386425372
0.4387.70181675686632.06047307180987
0.4488.1378789429752.08425843957926
0.4588.57599146420322.09996514854253
0.4689.01422296452782.10174155763764
0.4789.44973147236172.08556793156555
0.4889.87913613894962.04976898714907
0.4990.29898272579041.99535806111822
0.590.70622671053541.92563341148832
0.5191.0986539374091.84583575234644
0.5291.4751701281411.76269449749844
0.5391.83591440833581.68274432125635
0.5492.18218301968011.61187623072014
0.5592.51618177748671.55434631518861
0.5692.84065460315351.51203204268089
0.5793.15845686478531.48435371939321
0.5893.47215353473761.46845053155868
0.5993.7837211537311.46043018519714
0.694.09441773392421.45551418546893
0.6194.4048558041081.45015041047411
0.6294.71527303967841.44270623550796
0.6395.02594813923681.43379384701218
0.6495.33766648958561.42704199159515
0.6595.65211310690671.42808614272425
0.6695.9720716031711.44349596257997
0.6796.30134528568551.47859165497182
0.6896.6443885530831.53577650403482
0.6997.00572949119131.61370355156374
0.797.3893513304361.70650587553440
0.7197.79824710010551.80661140879973
0.7298.23433796567161.90707529968754
0.7398.69883959339722.00365081481073
0.7499.1929927642742.09757683835311
0.7599.71890032432722.19469072145161
0.76100.2801102438272.30424356424728
0.77100.8816215866662.43332530880312
0.78101.5291836571032.58374391789565
0.79102.2280484052602.74906845539762
0.8102.9815943655112.91577351002317
0.81103.7903248212943.06796471004349
0.82104.6515770371183.19181893468439
0.83105.5599163925783.27905771782897
0.84106.5078152066893.32643904585095
0.85107.4860730577703.33350953113121
0.86108.4836851110563.29750870493961
0.87109.4874509026363.21202516295569
0.88110.4822080605743.06995476166242
0.89111.4526838577372.87089830404593
0.9112.3872467490712.62918333986859
0.91113.2824906082722.37657878093565
0.92114.146329819252.15326978395567
0.93114.9969328368621.98947646737725
0.94115.8561866814891.88527586617943
0.95116.7426390881751.80096691452611
0.96117.6879474315821.68111563013451
0.97118.8235442556491.60407773588979
0.98120.4930741988512.16389243478282
0.99122.9353936473493.9469824679632



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')