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 computationTue, 04 Mar 2008 07:18:48 -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/2008/Mar/04/t1204640352l3gz2ogia1y88p5.htm/, Retrieved Sat, 18 May 2024 05:42:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=10010, Retrieved Sat, 18 May 2024 05:42:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact265
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2008-03-04 14:18:48] [0344071b671470f3024f96efc0c7614f] [Current]
Feedback Forum

Post a new message
Dataseries X:
12,23
12,25
12,33
12,37
12,38
12,41
12,41
12,41
12,43
12,44
12,46
12,46
12,46
12,47
12,55
12,58
12,6
12,62
12,62
12,66
12,7
12,76
12,79
12,81
12,86
13,03
13,09
13,15
13,17
13,18
13,18
13,19
13,19
13,19
13,25
13,24
13,3
13,35
13,35
13,35
13,36
13,37
13,38
13,39
13,4
13,4
13,44
13,44
13,44
13,47
13,52
13,58
13,65
13,66
13,68
13,68
13,77
13,78
13,79
13,79
13,82
13,86
13,94
14
14,02
14,03
14,07
14,1
14,1
14,16
14,17
14,17




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10010&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10010&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10010&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0112.24246111206050.0341763071744958
0.0212.2656699583370.0510296595977883
0.0312.29417727095300.0574748922875531
0.0412.32243501879190.0539204329185246
0.0512.34707938934890.0460133980005746
0.0612.36706826014610.0381547615429949
0.0712.38284472438400.032223960587561
0.0812.39544735120890.0285394381452974
0.0912.40595826129890.0269149487287272
0.112.41528273475750.0270826564364930
0.1112.42411706115330.0287349130024136
0.1212.43298614654960.0316540549543467
0.1312.44229156769700.0357428720646148
0.1412.45234847959430.0408960577301664
0.1512.46340554928850.0470147422890611
0.1612.47564919488040.0538352249563506
0.1712.48919868915450.061035283421863
0.1812.50410187631860.0682155164366821
0.1912.52034043121130.0750666106959603
0.212.53784880438950.0814820186405753
0.2112.55654452536440.0875034055631909
0.2212.57636233263520.093404788597928
0.2312.59728264550290.0995882080383134
0.2412.61934646773270.106435306862122
0.2512.64265276274010.11423403589797
0.2612.66733891452130.123075524872495
0.2712.69354859290280.13285162895586
0.2812.72139341771670.143212663155340
0.2912.75091526387440.153642000195190
0.312.78205532555980.163479144145823
0.3112.81463469851740.171995915525517
0.3212.84834960089770.178481455075682
0.3312.88278255980310.182343511073887
0.3412.91742894772720.183141846917282
0.3512.95173621192350.180701540883082
0.3612.98515120554790.175125507671930
0.3713.01716955254910.166764802674833
0.3813.0473803415830.156269681570257
0.3913.07549990873310.144408872915930
0.413.10139005314400.132064840179805
0.4113.12505847517080.120084040843291
0.4213.14664205856240.109219476541633
0.4313.16637627389120.0999822916820913
0.4413.18455595526910.0926711661325476
0.4513.20149366564350.0872955741692594
0.4613.21748171830740.0835636732538358
0.4713.23276278980310.081060187667802
0.4813.24751223897610.0792521406182939
0.4913.26183312570330.0776655263632719
0.513.27576289481820.0759176482751828
0.5113.28928908617580.0737876138180529
0.5213.30237046766930.0711593569419
0.5313.31495974344420.0681071547637287
0.5413.32702440567700.064783827946559
0.5513.33856320129820.0614663661205859
0.5613.34961682845730.0584313317011286
0.5713.36027259685850.055989951177525
0.5813.37066365605510.0543985086952732
0.5913.38096387842150.0538955930578241
0.613.39137955622970.0546348028727747
0.6113.40213882819020.0567055829998802
0.6213.41347936971160.0600929905574307
0.6313.42563457538890.0647265617484682
0.6413.43881841009580.0704129253468055
0.6513.45320938791440.0769019439214155
0.6613.46893470179210.0838553443738641
0.6713.48605618387460.0908657861666265
0.6813.50456025784580.0974737789801897
0.6913.52435409183870.103272779057181
0.713.54526963178070.107847901780678
0.7113.5670761429710.110925683006346
0.7213.58950056658890.112338564453189
0.7313.61225377925770.112097965535870
0.7413.63506005874880.1103564276146
0.7513.65768683040580.107414585945633
0.7613.67997192554890.103657061461072
0.7713.70184573005710.099585245062589
0.7813.72334535954680.0957121940883525
0.7913.74461732593740.0925787584831138
0.813.76590458625770.0906583485210208
0.8113.78751442982710.0902762555229694
0.8213.80976647159730.0914524528440697
0.8313.83292549333490.0938244448990936
0.8413.85713099505940.096624429952816
0.8513.88234141412840.098858594700739
0.8613.90831244902700.0995390285820856
0.8713.93462305452630.0979073821883548
0.8813.96074971227190.0937041257515893
0.8913.98617381661890.0872107033287477
0.914.01049507531680.0791828436975786
0.9114.03352000213970.0706335698153997
0.9214.05529633165860.0625813575013589
0.9314.07606430055460.0557886168897701
0.9414.09609555812490.0505143802841238
0.9514.11541527578080.0460851036772064
0.9614.13349148402860.0406417801607408
0.9714.14911825657430.0320565222814023
0.9814.1607813959370.0200254498307612
0.9914.16755515295720.00765019499570153

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 12.2424611120605 & 0.0341763071744958 \tabularnewline
0.02 & 12.265669958337 & 0.0510296595977883 \tabularnewline
0.03 & 12.2941772709530 & 0.0574748922875531 \tabularnewline
0.04 & 12.3224350187919 & 0.0539204329185246 \tabularnewline
0.05 & 12.3470793893489 & 0.0460133980005746 \tabularnewline
0.06 & 12.3670682601461 & 0.0381547615429949 \tabularnewline
0.07 & 12.3828447243840 & 0.032223960587561 \tabularnewline
0.08 & 12.3954473512089 & 0.0285394381452974 \tabularnewline
0.09 & 12.4059582612989 & 0.0269149487287272 \tabularnewline
0.1 & 12.4152827347575 & 0.0270826564364930 \tabularnewline
0.11 & 12.4241170611533 & 0.0287349130024136 \tabularnewline
0.12 & 12.4329861465496 & 0.0316540549543467 \tabularnewline
0.13 & 12.4422915676970 & 0.0357428720646148 \tabularnewline
0.14 & 12.4523484795943 & 0.0408960577301664 \tabularnewline
0.15 & 12.4634055492885 & 0.0470147422890611 \tabularnewline
0.16 & 12.4756491948804 & 0.0538352249563506 \tabularnewline
0.17 & 12.4891986891545 & 0.061035283421863 \tabularnewline
0.18 & 12.5041018763186 & 0.0682155164366821 \tabularnewline
0.19 & 12.5203404312113 & 0.0750666106959603 \tabularnewline
0.2 & 12.5378488043895 & 0.0814820186405753 \tabularnewline
0.21 & 12.5565445253644 & 0.0875034055631909 \tabularnewline
0.22 & 12.5763623326352 & 0.093404788597928 \tabularnewline
0.23 & 12.5972826455029 & 0.0995882080383134 \tabularnewline
0.24 & 12.6193464677327 & 0.106435306862122 \tabularnewline
0.25 & 12.6426527627401 & 0.11423403589797 \tabularnewline
0.26 & 12.6673389145213 & 0.123075524872495 \tabularnewline
0.27 & 12.6935485929028 & 0.13285162895586 \tabularnewline
0.28 & 12.7213934177167 & 0.143212663155340 \tabularnewline
0.29 & 12.7509152638744 & 0.153642000195190 \tabularnewline
0.3 & 12.7820553255598 & 0.163479144145823 \tabularnewline
0.31 & 12.8146346985174 & 0.171995915525517 \tabularnewline
0.32 & 12.8483496008977 & 0.178481455075682 \tabularnewline
0.33 & 12.8827825598031 & 0.182343511073887 \tabularnewline
0.34 & 12.9174289477272 & 0.183141846917282 \tabularnewline
0.35 & 12.9517362119235 & 0.180701540883082 \tabularnewline
0.36 & 12.9851512055479 & 0.175125507671930 \tabularnewline
0.37 & 13.0171695525491 & 0.166764802674833 \tabularnewline
0.38 & 13.047380341583 & 0.156269681570257 \tabularnewline
0.39 & 13.0754999087331 & 0.144408872915930 \tabularnewline
0.4 & 13.1013900531440 & 0.132064840179805 \tabularnewline
0.41 & 13.1250584751708 & 0.120084040843291 \tabularnewline
0.42 & 13.1466420585624 & 0.109219476541633 \tabularnewline
0.43 & 13.1663762738912 & 0.0999822916820913 \tabularnewline
0.44 & 13.1845559552691 & 0.0926711661325476 \tabularnewline
0.45 & 13.2014936656435 & 0.0872955741692594 \tabularnewline
0.46 & 13.2174817183074 & 0.0835636732538358 \tabularnewline
0.47 & 13.2327627898031 & 0.081060187667802 \tabularnewline
0.48 & 13.2475122389761 & 0.0792521406182939 \tabularnewline
0.49 & 13.2618331257033 & 0.0776655263632719 \tabularnewline
0.5 & 13.2757628948182 & 0.0759176482751828 \tabularnewline
0.51 & 13.2892890861758 & 0.0737876138180529 \tabularnewline
0.52 & 13.3023704676693 & 0.0711593569419 \tabularnewline
0.53 & 13.3149597434442 & 0.0681071547637287 \tabularnewline
0.54 & 13.3270244056770 & 0.064783827946559 \tabularnewline
0.55 & 13.3385632012982 & 0.0614663661205859 \tabularnewline
0.56 & 13.3496168284573 & 0.0584313317011286 \tabularnewline
0.57 & 13.3602725968585 & 0.055989951177525 \tabularnewline
0.58 & 13.3706636560551 & 0.0543985086952732 \tabularnewline
0.59 & 13.3809638784215 & 0.0538955930578241 \tabularnewline
0.6 & 13.3913795562297 & 0.0546348028727747 \tabularnewline
0.61 & 13.4021388281902 & 0.0567055829998802 \tabularnewline
0.62 & 13.4134793697116 & 0.0600929905574307 \tabularnewline
0.63 & 13.4256345753889 & 0.0647265617484682 \tabularnewline
0.64 & 13.4388184100958 & 0.0704129253468055 \tabularnewline
0.65 & 13.4532093879144 & 0.0769019439214155 \tabularnewline
0.66 & 13.4689347017921 & 0.0838553443738641 \tabularnewline
0.67 & 13.4860561838746 & 0.0908657861666265 \tabularnewline
0.68 & 13.5045602578458 & 0.0974737789801897 \tabularnewline
0.69 & 13.5243540918387 & 0.103272779057181 \tabularnewline
0.7 & 13.5452696317807 & 0.107847901780678 \tabularnewline
0.71 & 13.567076142971 & 0.110925683006346 \tabularnewline
0.72 & 13.5895005665889 & 0.112338564453189 \tabularnewline
0.73 & 13.6122537792577 & 0.112097965535870 \tabularnewline
0.74 & 13.6350600587488 & 0.1103564276146 \tabularnewline
0.75 & 13.6576868304058 & 0.107414585945633 \tabularnewline
0.76 & 13.6799719255489 & 0.103657061461072 \tabularnewline
0.77 & 13.7018457300571 & 0.099585245062589 \tabularnewline
0.78 & 13.7233453595468 & 0.0957121940883525 \tabularnewline
0.79 & 13.7446173259374 & 0.0925787584831138 \tabularnewline
0.8 & 13.7659045862577 & 0.0906583485210208 \tabularnewline
0.81 & 13.7875144298271 & 0.0902762555229694 \tabularnewline
0.82 & 13.8097664715973 & 0.0914524528440697 \tabularnewline
0.83 & 13.8329254933349 & 0.0938244448990936 \tabularnewline
0.84 & 13.8571309950594 & 0.096624429952816 \tabularnewline
0.85 & 13.8823414141284 & 0.098858594700739 \tabularnewline
0.86 & 13.9083124490270 & 0.0995390285820856 \tabularnewline
0.87 & 13.9346230545263 & 0.0979073821883548 \tabularnewline
0.88 & 13.9607497122719 & 0.0937041257515893 \tabularnewline
0.89 & 13.9861738166189 & 0.0872107033287477 \tabularnewline
0.9 & 14.0104950753168 & 0.0791828436975786 \tabularnewline
0.91 & 14.0335200021397 & 0.0706335698153997 \tabularnewline
0.92 & 14.0552963316586 & 0.0625813575013589 \tabularnewline
0.93 & 14.0760643005546 & 0.0557886168897701 \tabularnewline
0.94 & 14.0960955581249 & 0.0505143802841238 \tabularnewline
0.95 & 14.1154152757808 & 0.0460851036772064 \tabularnewline
0.96 & 14.1334914840286 & 0.0406417801607408 \tabularnewline
0.97 & 14.1491182565743 & 0.0320565222814023 \tabularnewline
0.98 & 14.160781395937 & 0.0200254498307612 \tabularnewline
0.99 & 14.1675551529572 & 0.00765019499570153 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10010&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]12.2424611120605[/C][C]0.0341763071744958[/C][/ROW]
[ROW][C]0.02[/C][C]12.265669958337[/C][C]0.0510296595977883[/C][/ROW]
[ROW][C]0.03[/C][C]12.2941772709530[/C][C]0.0574748922875531[/C][/ROW]
[ROW][C]0.04[/C][C]12.3224350187919[/C][C]0.0539204329185246[/C][/ROW]
[ROW][C]0.05[/C][C]12.3470793893489[/C][C]0.0460133980005746[/C][/ROW]
[ROW][C]0.06[/C][C]12.3670682601461[/C][C]0.0381547615429949[/C][/ROW]
[ROW][C]0.07[/C][C]12.3828447243840[/C][C]0.032223960587561[/C][/ROW]
[ROW][C]0.08[/C][C]12.3954473512089[/C][C]0.0285394381452974[/C][/ROW]
[ROW][C]0.09[/C][C]12.4059582612989[/C][C]0.0269149487287272[/C][/ROW]
[ROW][C]0.1[/C][C]12.4152827347575[/C][C]0.0270826564364930[/C][/ROW]
[ROW][C]0.11[/C][C]12.4241170611533[/C][C]0.0287349130024136[/C][/ROW]
[ROW][C]0.12[/C][C]12.4329861465496[/C][C]0.0316540549543467[/C][/ROW]
[ROW][C]0.13[/C][C]12.4422915676970[/C][C]0.0357428720646148[/C][/ROW]
[ROW][C]0.14[/C][C]12.4523484795943[/C][C]0.0408960577301664[/C][/ROW]
[ROW][C]0.15[/C][C]12.4634055492885[/C][C]0.0470147422890611[/C][/ROW]
[ROW][C]0.16[/C][C]12.4756491948804[/C][C]0.0538352249563506[/C][/ROW]
[ROW][C]0.17[/C][C]12.4891986891545[/C][C]0.061035283421863[/C][/ROW]
[ROW][C]0.18[/C][C]12.5041018763186[/C][C]0.0682155164366821[/C][/ROW]
[ROW][C]0.19[/C][C]12.5203404312113[/C][C]0.0750666106959603[/C][/ROW]
[ROW][C]0.2[/C][C]12.5378488043895[/C][C]0.0814820186405753[/C][/ROW]
[ROW][C]0.21[/C][C]12.5565445253644[/C][C]0.0875034055631909[/C][/ROW]
[ROW][C]0.22[/C][C]12.5763623326352[/C][C]0.093404788597928[/C][/ROW]
[ROW][C]0.23[/C][C]12.5972826455029[/C][C]0.0995882080383134[/C][/ROW]
[ROW][C]0.24[/C][C]12.6193464677327[/C][C]0.106435306862122[/C][/ROW]
[ROW][C]0.25[/C][C]12.6426527627401[/C][C]0.11423403589797[/C][/ROW]
[ROW][C]0.26[/C][C]12.6673389145213[/C][C]0.123075524872495[/C][/ROW]
[ROW][C]0.27[/C][C]12.6935485929028[/C][C]0.13285162895586[/C][/ROW]
[ROW][C]0.28[/C][C]12.7213934177167[/C][C]0.143212663155340[/C][/ROW]
[ROW][C]0.29[/C][C]12.7509152638744[/C][C]0.153642000195190[/C][/ROW]
[ROW][C]0.3[/C][C]12.7820553255598[/C][C]0.163479144145823[/C][/ROW]
[ROW][C]0.31[/C][C]12.8146346985174[/C][C]0.171995915525517[/C][/ROW]
[ROW][C]0.32[/C][C]12.8483496008977[/C][C]0.178481455075682[/C][/ROW]
[ROW][C]0.33[/C][C]12.8827825598031[/C][C]0.182343511073887[/C][/ROW]
[ROW][C]0.34[/C][C]12.9174289477272[/C][C]0.183141846917282[/C][/ROW]
[ROW][C]0.35[/C][C]12.9517362119235[/C][C]0.180701540883082[/C][/ROW]
[ROW][C]0.36[/C][C]12.9851512055479[/C][C]0.175125507671930[/C][/ROW]
[ROW][C]0.37[/C][C]13.0171695525491[/C][C]0.166764802674833[/C][/ROW]
[ROW][C]0.38[/C][C]13.047380341583[/C][C]0.156269681570257[/C][/ROW]
[ROW][C]0.39[/C][C]13.0754999087331[/C][C]0.144408872915930[/C][/ROW]
[ROW][C]0.4[/C][C]13.1013900531440[/C][C]0.132064840179805[/C][/ROW]
[ROW][C]0.41[/C][C]13.1250584751708[/C][C]0.120084040843291[/C][/ROW]
[ROW][C]0.42[/C][C]13.1466420585624[/C][C]0.109219476541633[/C][/ROW]
[ROW][C]0.43[/C][C]13.1663762738912[/C][C]0.0999822916820913[/C][/ROW]
[ROW][C]0.44[/C][C]13.1845559552691[/C][C]0.0926711661325476[/C][/ROW]
[ROW][C]0.45[/C][C]13.2014936656435[/C][C]0.0872955741692594[/C][/ROW]
[ROW][C]0.46[/C][C]13.2174817183074[/C][C]0.0835636732538358[/C][/ROW]
[ROW][C]0.47[/C][C]13.2327627898031[/C][C]0.081060187667802[/C][/ROW]
[ROW][C]0.48[/C][C]13.2475122389761[/C][C]0.0792521406182939[/C][/ROW]
[ROW][C]0.49[/C][C]13.2618331257033[/C][C]0.0776655263632719[/C][/ROW]
[ROW][C]0.5[/C][C]13.2757628948182[/C][C]0.0759176482751828[/C][/ROW]
[ROW][C]0.51[/C][C]13.2892890861758[/C][C]0.0737876138180529[/C][/ROW]
[ROW][C]0.52[/C][C]13.3023704676693[/C][C]0.0711593569419[/C][/ROW]
[ROW][C]0.53[/C][C]13.3149597434442[/C][C]0.0681071547637287[/C][/ROW]
[ROW][C]0.54[/C][C]13.3270244056770[/C][C]0.064783827946559[/C][/ROW]
[ROW][C]0.55[/C][C]13.3385632012982[/C][C]0.0614663661205859[/C][/ROW]
[ROW][C]0.56[/C][C]13.3496168284573[/C][C]0.0584313317011286[/C][/ROW]
[ROW][C]0.57[/C][C]13.3602725968585[/C][C]0.055989951177525[/C][/ROW]
[ROW][C]0.58[/C][C]13.3706636560551[/C][C]0.0543985086952732[/C][/ROW]
[ROW][C]0.59[/C][C]13.3809638784215[/C][C]0.0538955930578241[/C][/ROW]
[ROW][C]0.6[/C][C]13.3913795562297[/C][C]0.0546348028727747[/C][/ROW]
[ROW][C]0.61[/C][C]13.4021388281902[/C][C]0.0567055829998802[/C][/ROW]
[ROW][C]0.62[/C][C]13.4134793697116[/C][C]0.0600929905574307[/C][/ROW]
[ROW][C]0.63[/C][C]13.4256345753889[/C][C]0.0647265617484682[/C][/ROW]
[ROW][C]0.64[/C][C]13.4388184100958[/C][C]0.0704129253468055[/C][/ROW]
[ROW][C]0.65[/C][C]13.4532093879144[/C][C]0.0769019439214155[/C][/ROW]
[ROW][C]0.66[/C][C]13.4689347017921[/C][C]0.0838553443738641[/C][/ROW]
[ROW][C]0.67[/C][C]13.4860561838746[/C][C]0.0908657861666265[/C][/ROW]
[ROW][C]0.68[/C][C]13.5045602578458[/C][C]0.0974737789801897[/C][/ROW]
[ROW][C]0.69[/C][C]13.5243540918387[/C][C]0.103272779057181[/C][/ROW]
[ROW][C]0.7[/C][C]13.5452696317807[/C][C]0.107847901780678[/C][/ROW]
[ROW][C]0.71[/C][C]13.567076142971[/C][C]0.110925683006346[/C][/ROW]
[ROW][C]0.72[/C][C]13.5895005665889[/C][C]0.112338564453189[/C][/ROW]
[ROW][C]0.73[/C][C]13.6122537792577[/C][C]0.112097965535870[/C][/ROW]
[ROW][C]0.74[/C][C]13.6350600587488[/C][C]0.1103564276146[/C][/ROW]
[ROW][C]0.75[/C][C]13.6576868304058[/C][C]0.107414585945633[/C][/ROW]
[ROW][C]0.76[/C][C]13.6799719255489[/C][C]0.103657061461072[/C][/ROW]
[ROW][C]0.77[/C][C]13.7018457300571[/C][C]0.099585245062589[/C][/ROW]
[ROW][C]0.78[/C][C]13.7233453595468[/C][C]0.0957121940883525[/C][/ROW]
[ROW][C]0.79[/C][C]13.7446173259374[/C][C]0.0925787584831138[/C][/ROW]
[ROW][C]0.8[/C][C]13.7659045862577[/C][C]0.0906583485210208[/C][/ROW]
[ROW][C]0.81[/C][C]13.7875144298271[/C][C]0.0902762555229694[/C][/ROW]
[ROW][C]0.82[/C][C]13.8097664715973[/C][C]0.0914524528440697[/C][/ROW]
[ROW][C]0.83[/C][C]13.8329254933349[/C][C]0.0938244448990936[/C][/ROW]
[ROW][C]0.84[/C][C]13.8571309950594[/C][C]0.096624429952816[/C][/ROW]
[ROW][C]0.85[/C][C]13.8823414141284[/C][C]0.098858594700739[/C][/ROW]
[ROW][C]0.86[/C][C]13.9083124490270[/C][C]0.0995390285820856[/C][/ROW]
[ROW][C]0.87[/C][C]13.9346230545263[/C][C]0.0979073821883548[/C][/ROW]
[ROW][C]0.88[/C][C]13.9607497122719[/C][C]0.0937041257515893[/C][/ROW]
[ROW][C]0.89[/C][C]13.9861738166189[/C][C]0.0872107033287477[/C][/ROW]
[ROW][C]0.9[/C][C]14.0104950753168[/C][C]0.0791828436975786[/C][/ROW]
[ROW][C]0.91[/C][C]14.0335200021397[/C][C]0.0706335698153997[/C][/ROW]
[ROW][C]0.92[/C][C]14.0552963316586[/C][C]0.0625813575013589[/C][/ROW]
[ROW][C]0.93[/C][C]14.0760643005546[/C][C]0.0557886168897701[/C][/ROW]
[ROW][C]0.94[/C][C]14.0960955581249[/C][C]0.0505143802841238[/C][/ROW]
[ROW][C]0.95[/C][C]14.1154152757808[/C][C]0.0460851036772064[/C][/ROW]
[ROW][C]0.96[/C][C]14.1334914840286[/C][C]0.0406417801607408[/C][/ROW]
[ROW][C]0.97[/C][C]14.1491182565743[/C][C]0.0320565222814023[/C][/ROW]
[ROW][C]0.98[/C][C]14.160781395937[/C][C]0.0200254498307612[/C][/ROW]
[ROW][C]0.99[/C][C]14.1675551529572[/C][C]0.00765019499570153[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10010&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10010&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
0.0112.24246111206050.0341763071744958
0.0212.2656699583370.0510296595977883
0.0312.29417727095300.0574748922875531
0.0412.32243501879190.0539204329185246
0.0512.34707938934890.0460133980005746
0.0612.36706826014610.0381547615429949
0.0712.38284472438400.032223960587561
0.0812.39544735120890.0285394381452974
0.0912.40595826129890.0269149487287272
0.112.41528273475750.0270826564364930
0.1112.42411706115330.0287349130024136
0.1212.43298614654960.0316540549543467
0.1312.44229156769700.0357428720646148
0.1412.45234847959430.0408960577301664
0.1512.46340554928850.0470147422890611
0.1612.47564919488040.0538352249563506
0.1712.48919868915450.061035283421863
0.1812.50410187631860.0682155164366821
0.1912.52034043121130.0750666106959603
0.212.53784880438950.0814820186405753
0.2112.55654452536440.0875034055631909
0.2212.57636233263520.093404788597928
0.2312.59728264550290.0995882080383134
0.2412.61934646773270.106435306862122
0.2512.64265276274010.11423403589797
0.2612.66733891452130.123075524872495
0.2712.69354859290280.13285162895586
0.2812.72139341771670.143212663155340
0.2912.75091526387440.153642000195190
0.312.78205532555980.163479144145823
0.3112.81463469851740.171995915525517
0.3212.84834960089770.178481455075682
0.3312.88278255980310.182343511073887
0.3412.91742894772720.183141846917282
0.3512.95173621192350.180701540883082
0.3612.98515120554790.175125507671930
0.3713.01716955254910.166764802674833
0.3813.0473803415830.156269681570257
0.3913.07549990873310.144408872915930
0.413.10139005314400.132064840179805
0.4113.12505847517080.120084040843291
0.4213.14664205856240.109219476541633
0.4313.16637627389120.0999822916820913
0.4413.18455595526910.0926711661325476
0.4513.20149366564350.0872955741692594
0.4613.21748171830740.0835636732538358
0.4713.23276278980310.081060187667802
0.4813.24751223897610.0792521406182939
0.4913.26183312570330.0776655263632719
0.513.27576289481820.0759176482751828
0.5113.28928908617580.0737876138180529
0.5213.30237046766930.0711593569419
0.5313.31495974344420.0681071547637287
0.5413.32702440567700.064783827946559
0.5513.33856320129820.0614663661205859
0.5613.34961682845730.0584313317011286
0.5713.36027259685850.055989951177525
0.5813.37066365605510.0543985086952732
0.5913.38096387842150.0538955930578241
0.613.39137955622970.0546348028727747
0.6113.40213882819020.0567055829998802
0.6213.41347936971160.0600929905574307
0.6313.42563457538890.0647265617484682
0.6413.43881841009580.0704129253468055
0.6513.45320938791440.0769019439214155
0.6613.46893470179210.0838553443738641
0.6713.48605618387460.0908657861666265
0.6813.50456025784580.0974737789801897
0.6913.52435409183870.103272779057181
0.713.54526963178070.107847901780678
0.7113.5670761429710.110925683006346
0.7213.58950056658890.112338564453189
0.7313.61225377925770.112097965535870
0.7413.63506005874880.1103564276146
0.7513.65768683040580.107414585945633
0.7613.67997192554890.103657061461072
0.7713.70184573005710.099585245062589
0.7813.72334535954680.0957121940883525
0.7913.74461732593740.0925787584831138
0.813.76590458625770.0906583485210208
0.8113.78751442982710.0902762555229694
0.8213.80976647159730.0914524528440697
0.8313.83292549333490.0938244448990936
0.8413.85713099505940.096624429952816
0.8513.88234141412840.098858594700739
0.8613.90831244902700.0995390285820856
0.8713.93462305452630.0979073821883548
0.8813.96074971227190.0937041257515893
0.8913.98617381661890.0872107033287477
0.914.01049507531680.0791828436975786
0.9114.03352000213970.0706335698153997
0.9214.05529633165860.0625813575013589
0.9314.07606430055460.0557886168897701
0.9414.09609555812490.0505143802841238
0.9514.11541527578080.0460851036772064
0.9614.13349148402860.0406417801607408
0.9714.14911825657430.0320565222814023
0.9814.1607813959370.0200254498307612
0.9914.16755515295720.00765019499570153



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')