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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 12 Feb 2015 22:46:53 +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/2015/Feb/12/t14237812998fvcs5vr2twnyn9.htm/, Retrieved Sat, 18 Apr 2026 01:24:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277350, Retrieved Sat, 18 Apr 2026 01:24:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact227
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [percentielen eige...] [2015-02-12 22:46:53] [24a1c9f91cd9dd71c8b0e9e460386711] [Current]
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Dataseries X:
12.8
12.1
11.4
11.4
10.6
10.4
10.9
11.6
13.3
15.2
17.4
19.1
19.9
19.4
18.2
15.8
13.5
12.1
10.3
8.8
8.2
6.8
5.9
4.9
3.9
3.6
2.8
4
4.2
4.2
4.8
4
3.8
4
3.7
4
4.6
4.6
4.6
4.5
4.1
4.1
4.4
4.2
4.4
3.2
2.8
1.7
-0.2
-2.9
-5.2
-5.3
-4.8
-2.2
-0.8
-1.1
-1.5
-2
-2.8
-3.4
-4.1
-5.5
-8.6
-7.6
-8.6
-8.7
-4.6
-4.3
-1.5
1.2
1.8
0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277350&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277350&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277350&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-8.631207890351960.20252276153261
0.02-8.45654387754690.504246733261928
0.03-8.149669652683540.894211714935072
0.04-7.717713830506311.21951652911612
0.05-7.204053753622241.38050124611248
0.06-6.669124633053831.36796712974953
0.07-6.16543001604741.23994500807572
0.08-5.722580617394011.07539611439704
0.09-5.346164974889110.937783510817854
0.1-5.025393594056250.858796203516641
0.11-4.74270595035750.83932099562733
0.12-4.481027195628380.862468336693474
0.13-4.227474707801230.908244102706858
0.14-3.974212639731140.960885722291457
0.15-3.717696267958481.01014795613496
0.16-3.457322471140831.05068176674531
0.17-3.194077591639891.08113698196735
0.18-2.92944027285621.10324410940609
0.19-2.66461260867181.12080194462573
0.2-2.400073102791181.1386333052338
0.21-2.135414102863951.16152034068608
0.22-1.869412114851751.19328633072475
0.23-1.600270357608251.23604891795805
0.24-1.32596765193691.28976530169257
0.25-1.044647091397051.35218070385066
0.26-0.7549824553477661.4191500076941
0.27-0.4564700940578711.48525074203678
0.28-0.1496087174130911.54452643091055
0.290.1640519595366941.59126094226919
0.30.4819926347923331.62063070137822
0.310.8009161838500011.62919121219794
0.321.117016075271181.61514295706309
0.331.42628068801731.5783605689815
0.341.724793295927271.52023901891533
0.352.008994466852911.44339746516085
0.362.275884675038771.35131633302939
0.372.523157149641251.24793994980369
0.382.749261812386911.13736589072176
0.392.953408933983061.02355891642523
0.43.135525313217410.910151106410392
0.413.296176763400760.80032121467677
0.423.436469467638350.69673681006883
0.433.557940478277350.601492432847942
0.443.66244523741170.516141438150089
0.453.752048066317270.441698499671875
0.463.828920311324630.378697266051918
0.473.895250159305030.32723644930178
0.483.953167827660510.287059706610043
0.494.004689658953610.257601348312415
0.54.051684431412670.238053719279107
0.514.095864812944070.227498538161319
0.524.138806230040830.22504929672342
0.534.181994342425170.230094047685873
0.544.226900585441210.242511997854953
0.554.275082600389520.26289701234689
0.564.328302617416030.292657894613668
0.574.388652012700940.334011227400855
0.584.458664761499760.389791703791911
0.594.541397304167490.4631463055737
0.64.640448896154620.55699691953527
0.614.759896591788270.673529354500634
0.624.904124278248450.813570730620694
0.635.077536635041780.976031209587588
0.645.284166319765931.15746968012411
0.655.527204208875491.35181317459086
0.665.808504594593521.55048970792512
0.676.128135037839591.74283883919956
0.686.48404896515611.91703106223557
0.696.871953929954472.06121733613285
0.77.285427960506092.1649531748441
0.717.716302223507752.22054300091226
0.728.1552856719972.22415905823673
0.738.592764703452112.17647820174944
0.749.01967760206422.08276364619614
0.759.428347912327191.95226612493799
0.769.813167460848841.79715642542302
0.7710.17104781440551.63115240895588
0.7810.50160242894611.46801002570481
0.7910.80707057017411.32028197867327
0.811.0920369325441.19835555633837
0.8111.36302791783321.10986541617605
0.8211.62807044433091.05947054289659
0.8311.8962799742791.04893767550433
0.8412.17750367072541.07761961784289
0.8512.48198958253081.14304435332542
0.8612.81999671972711.24119901981045
0.8713.20122322794041.36605729526892
0.8813.63393327836341.50843968388047
0.8914.12372564665381.65487555876442
0.914.67200981131471.78734126058268
0.9115.27441564466751.88434057874517
0.9215.91951859514771.9234555255078
0.9316.58838362505831.88526932466276
0.9417.25553863280251.75798140601549
0.9517.89208999942731.54214590544467
0.9618.47138884355531.25512507930896
0.9718.97551911676480.936575328537945
0.9819.39563119988040.656793838777193
0.9919.71684420001860.50784497629599

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -8.63120789035196 & 0.20252276153261 \tabularnewline
0.02 & -8.4565438775469 & 0.504246733261928 \tabularnewline
0.03 & -8.14966965268354 & 0.894211714935072 \tabularnewline
0.04 & -7.71771383050631 & 1.21951652911612 \tabularnewline
0.05 & -7.20405375362224 & 1.38050124611248 \tabularnewline
0.06 & -6.66912463305383 & 1.36796712974953 \tabularnewline
0.07 & -6.1654300160474 & 1.23994500807572 \tabularnewline
0.08 & -5.72258061739401 & 1.07539611439704 \tabularnewline
0.09 & -5.34616497488911 & 0.937783510817854 \tabularnewline
0.1 & -5.02539359405625 & 0.858796203516641 \tabularnewline
0.11 & -4.7427059503575 & 0.83932099562733 \tabularnewline
0.12 & -4.48102719562838 & 0.862468336693474 \tabularnewline
0.13 & -4.22747470780123 & 0.908244102706858 \tabularnewline
0.14 & -3.97421263973114 & 0.960885722291457 \tabularnewline
0.15 & -3.71769626795848 & 1.01014795613496 \tabularnewline
0.16 & -3.45732247114083 & 1.05068176674531 \tabularnewline
0.17 & -3.19407759163989 & 1.08113698196735 \tabularnewline
0.18 & -2.9294402728562 & 1.10324410940609 \tabularnewline
0.19 & -2.6646126086718 & 1.12080194462573 \tabularnewline
0.2 & -2.40007310279118 & 1.1386333052338 \tabularnewline
0.21 & -2.13541410286395 & 1.16152034068608 \tabularnewline
0.22 & -1.86941211485175 & 1.19328633072475 \tabularnewline
0.23 & -1.60027035760825 & 1.23604891795805 \tabularnewline
0.24 & -1.3259676519369 & 1.28976530169257 \tabularnewline
0.25 & -1.04464709139705 & 1.35218070385066 \tabularnewline
0.26 & -0.754982455347766 & 1.4191500076941 \tabularnewline
0.27 & -0.456470094057871 & 1.48525074203678 \tabularnewline
0.28 & -0.149608717413091 & 1.54452643091055 \tabularnewline
0.29 & 0.164051959536694 & 1.59126094226919 \tabularnewline
0.3 & 0.481992634792333 & 1.62063070137822 \tabularnewline
0.31 & 0.800916183850001 & 1.62919121219794 \tabularnewline
0.32 & 1.11701607527118 & 1.61514295706309 \tabularnewline
0.33 & 1.4262806880173 & 1.5783605689815 \tabularnewline
0.34 & 1.72479329592727 & 1.52023901891533 \tabularnewline
0.35 & 2.00899446685291 & 1.44339746516085 \tabularnewline
0.36 & 2.27588467503877 & 1.35131633302939 \tabularnewline
0.37 & 2.52315714964125 & 1.24793994980369 \tabularnewline
0.38 & 2.74926181238691 & 1.13736589072176 \tabularnewline
0.39 & 2.95340893398306 & 1.02355891642523 \tabularnewline
0.4 & 3.13552531321741 & 0.910151106410392 \tabularnewline
0.41 & 3.29617676340076 & 0.80032121467677 \tabularnewline
0.42 & 3.43646946763835 & 0.69673681006883 \tabularnewline
0.43 & 3.55794047827735 & 0.601492432847942 \tabularnewline
0.44 & 3.6624452374117 & 0.516141438150089 \tabularnewline
0.45 & 3.75204806631727 & 0.441698499671875 \tabularnewline
0.46 & 3.82892031132463 & 0.378697266051918 \tabularnewline
0.47 & 3.89525015930503 & 0.32723644930178 \tabularnewline
0.48 & 3.95316782766051 & 0.287059706610043 \tabularnewline
0.49 & 4.00468965895361 & 0.257601348312415 \tabularnewline
0.5 & 4.05168443141267 & 0.238053719279107 \tabularnewline
0.51 & 4.09586481294407 & 0.227498538161319 \tabularnewline
0.52 & 4.13880623004083 & 0.22504929672342 \tabularnewline
0.53 & 4.18199434242517 & 0.230094047685873 \tabularnewline
0.54 & 4.22690058544121 & 0.242511997854953 \tabularnewline
0.55 & 4.27508260038952 & 0.26289701234689 \tabularnewline
0.56 & 4.32830261741603 & 0.292657894613668 \tabularnewline
0.57 & 4.38865201270094 & 0.334011227400855 \tabularnewline
0.58 & 4.45866476149976 & 0.389791703791911 \tabularnewline
0.59 & 4.54139730416749 & 0.4631463055737 \tabularnewline
0.6 & 4.64044889615462 & 0.55699691953527 \tabularnewline
0.61 & 4.75989659178827 & 0.673529354500634 \tabularnewline
0.62 & 4.90412427824845 & 0.813570730620694 \tabularnewline
0.63 & 5.07753663504178 & 0.976031209587588 \tabularnewline
0.64 & 5.28416631976593 & 1.15746968012411 \tabularnewline
0.65 & 5.52720420887549 & 1.35181317459086 \tabularnewline
0.66 & 5.80850459459352 & 1.55048970792512 \tabularnewline
0.67 & 6.12813503783959 & 1.74283883919956 \tabularnewline
0.68 & 6.4840489651561 & 1.91703106223557 \tabularnewline
0.69 & 6.87195392995447 & 2.06121733613285 \tabularnewline
0.7 & 7.28542796050609 & 2.1649531748441 \tabularnewline
0.71 & 7.71630222350775 & 2.22054300091226 \tabularnewline
0.72 & 8.155285671997 & 2.22415905823673 \tabularnewline
0.73 & 8.59276470345211 & 2.17647820174944 \tabularnewline
0.74 & 9.0196776020642 & 2.08276364619614 \tabularnewline
0.75 & 9.42834791232719 & 1.95226612493799 \tabularnewline
0.76 & 9.81316746084884 & 1.79715642542302 \tabularnewline
0.77 & 10.1710478144055 & 1.63115240895588 \tabularnewline
0.78 & 10.5016024289461 & 1.46801002570481 \tabularnewline
0.79 & 10.8070705701741 & 1.32028197867327 \tabularnewline
0.8 & 11.092036932544 & 1.19835555633837 \tabularnewline
0.81 & 11.3630279178332 & 1.10986541617605 \tabularnewline
0.82 & 11.6280704443309 & 1.05947054289659 \tabularnewline
0.83 & 11.896279974279 & 1.04893767550433 \tabularnewline
0.84 & 12.1775036707254 & 1.07761961784289 \tabularnewline
0.85 & 12.4819895825308 & 1.14304435332542 \tabularnewline
0.86 & 12.8199967197271 & 1.24119901981045 \tabularnewline
0.87 & 13.2012232279404 & 1.36605729526892 \tabularnewline
0.88 & 13.6339332783634 & 1.50843968388047 \tabularnewline
0.89 & 14.1237256466538 & 1.65487555876442 \tabularnewline
0.9 & 14.6720098113147 & 1.78734126058268 \tabularnewline
0.91 & 15.2744156446675 & 1.88434057874517 \tabularnewline
0.92 & 15.9195185951477 & 1.9234555255078 \tabularnewline
0.93 & 16.5883836250583 & 1.88526932466276 \tabularnewline
0.94 & 17.2555386328025 & 1.75798140601549 \tabularnewline
0.95 & 17.8920899994273 & 1.54214590544467 \tabularnewline
0.96 & 18.4713888435553 & 1.25512507930896 \tabularnewline
0.97 & 18.9755191167648 & 0.936575328537945 \tabularnewline
0.98 & 19.3956311998804 & 0.656793838777193 \tabularnewline
0.99 & 19.7168442000186 & 0.50784497629599 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277350&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]-8.63120789035196[/C][C]0.20252276153261[/C][/ROW]
[ROW][C]0.02[/C][C]-8.4565438775469[/C][C]0.504246733261928[/C][/ROW]
[ROW][C]0.03[/C][C]-8.14966965268354[/C][C]0.894211714935072[/C][/ROW]
[ROW][C]0.04[/C][C]-7.71771383050631[/C][C]1.21951652911612[/C][/ROW]
[ROW][C]0.05[/C][C]-7.20405375362224[/C][C]1.38050124611248[/C][/ROW]
[ROW][C]0.06[/C][C]-6.66912463305383[/C][C]1.36796712974953[/C][/ROW]
[ROW][C]0.07[/C][C]-6.1654300160474[/C][C]1.23994500807572[/C][/ROW]
[ROW][C]0.08[/C][C]-5.72258061739401[/C][C]1.07539611439704[/C][/ROW]
[ROW][C]0.09[/C][C]-5.34616497488911[/C][C]0.937783510817854[/C][/ROW]
[ROW][C]0.1[/C][C]-5.02539359405625[/C][C]0.858796203516641[/C][/ROW]
[ROW][C]0.11[/C][C]-4.7427059503575[/C][C]0.83932099562733[/C][/ROW]
[ROW][C]0.12[/C][C]-4.48102719562838[/C][C]0.862468336693474[/C][/ROW]
[ROW][C]0.13[/C][C]-4.22747470780123[/C][C]0.908244102706858[/C][/ROW]
[ROW][C]0.14[/C][C]-3.97421263973114[/C][C]0.960885722291457[/C][/ROW]
[ROW][C]0.15[/C][C]-3.71769626795848[/C][C]1.01014795613496[/C][/ROW]
[ROW][C]0.16[/C][C]-3.45732247114083[/C][C]1.05068176674531[/C][/ROW]
[ROW][C]0.17[/C][C]-3.19407759163989[/C][C]1.08113698196735[/C][/ROW]
[ROW][C]0.18[/C][C]-2.9294402728562[/C][C]1.10324410940609[/C][/ROW]
[ROW][C]0.19[/C][C]-2.6646126086718[/C][C]1.12080194462573[/C][/ROW]
[ROW][C]0.2[/C][C]-2.40007310279118[/C][C]1.1386333052338[/C][/ROW]
[ROW][C]0.21[/C][C]-2.13541410286395[/C][C]1.16152034068608[/C][/ROW]
[ROW][C]0.22[/C][C]-1.86941211485175[/C][C]1.19328633072475[/C][/ROW]
[ROW][C]0.23[/C][C]-1.60027035760825[/C][C]1.23604891795805[/C][/ROW]
[ROW][C]0.24[/C][C]-1.3259676519369[/C][C]1.28976530169257[/C][/ROW]
[ROW][C]0.25[/C][C]-1.04464709139705[/C][C]1.35218070385066[/C][/ROW]
[ROW][C]0.26[/C][C]-0.754982455347766[/C][C]1.4191500076941[/C][/ROW]
[ROW][C]0.27[/C][C]-0.456470094057871[/C][C]1.48525074203678[/C][/ROW]
[ROW][C]0.28[/C][C]-0.149608717413091[/C][C]1.54452643091055[/C][/ROW]
[ROW][C]0.29[/C][C]0.164051959536694[/C][C]1.59126094226919[/C][/ROW]
[ROW][C]0.3[/C][C]0.481992634792333[/C][C]1.62063070137822[/C][/ROW]
[ROW][C]0.31[/C][C]0.800916183850001[/C][C]1.62919121219794[/C][/ROW]
[ROW][C]0.32[/C][C]1.11701607527118[/C][C]1.61514295706309[/C][/ROW]
[ROW][C]0.33[/C][C]1.4262806880173[/C][C]1.5783605689815[/C][/ROW]
[ROW][C]0.34[/C][C]1.72479329592727[/C][C]1.52023901891533[/C][/ROW]
[ROW][C]0.35[/C][C]2.00899446685291[/C][C]1.44339746516085[/C][/ROW]
[ROW][C]0.36[/C][C]2.27588467503877[/C][C]1.35131633302939[/C][/ROW]
[ROW][C]0.37[/C][C]2.52315714964125[/C][C]1.24793994980369[/C][/ROW]
[ROW][C]0.38[/C][C]2.74926181238691[/C][C]1.13736589072176[/C][/ROW]
[ROW][C]0.39[/C][C]2.95340893398306[/C][C]1.02355891642523[/C][/ROW]
[ROW][C]0.4[/C][C]3.13552531321741[/C][C]0.910151106410392[/C][/ROW]
[ROW][C]0.41[/C][C]3.29617676340076[/C][C]0.80032121467677[/C][/ROW]
[ROW][C]0.42[/C][C]3.43646946763835[/C][C]0.69673681006883[/C][/ROW]
[ROW][C]0.43[/C][C]3.55794047827735[/C][C]0.601492432847942[/C][/ROW]
[ROW][C]0.44[/C][C]3.6624452374117[/C][C]0.516141438150089[/C][/ROW]
[ROW][C]0.45[/C][C]3.75204806631727[/C][C]0.441698499671875[/C][/ROW]
[ROW][C]0.46[/C][C]3.82892031132463[/C][C]0.378697266051918[/C][/ROW]
[ROW][C]0.47[/C][C]3.89525015930503[/C][C]0.32723644930178[/C][/ROW]
[ROW][C]0.48[/C][C]3.95316782766051[/C][C]0.287059706610043[/C][/ROW]
[ROW][C]0.49[/C][C]4.00468965895361[/C][C]0.257601348312415[/C][/ROW]
[ROW][C]0.5[/C][C]4.05168443141267[/C][C]0.238053719279107[/C][/ROW]
[ROW][C]0.51[/C][C]4.09586481294407[/C][C]0.227498538161319[/C][/ROW]
[ROW][C]0.52[/C][C]4.13880623004083[/C][C]0.22504929672342[/C][/ROW]
[ROW][C]0.53[/C][C]4.18199434242517[/C][C]0.230094047685873[/C][/ROW]
[ROW][C]0.54[/C][C]4.22690058544121[/C][C]0.242511997854953[/C][/ROW]
[ROW][C]0.55[/C][C]4.27508260038952[/C][C]0.26289701234689[/C][/ROW]
[ROW][C]0.56[/C][C]4.32830261741603[/C][C]0.292657894613668[/C][/ROW]
[ROW][C]0.57[/C][C]4.38865201270094[/C][C]0.334011227400855[/C][/ROW]
[ROW][C]0.58[/C][C]4.45866476149976[/C][C]0.389791703791911[/C][/ROW]
[ROW][C]0.59[/C][C]4.54139730416749[/C][C]0.4631463055737[/C][/ROW]
[ROW][C]0.6[/C][C]4.64044889615462[/C][C]0.55699691953527[/C][/ROW]
[ROW][C]0.61[/C][C]4.75989659178827[/C][C]0.673529354500634[/C][/ROW]
[ROW][C]0.62[/C][C]4.90412427824845[/C][C]0.813570730620694[/C][/ROW]
[ROW][C]0.63[/C][C]5.07753663504178[/C][C]0.976031209587588[/C][/ROW]
[ROW][C]0.64[/C][C]5.28416631976593[/C][C]1.15746968012411[/C][/ROW]
[ROW][C]0.65[/C][C]5.52720420887549[/C][C]1.35181317459086[/C][/ROW]
[ROW][C]0.66[/C][C]5.80850459459352[/C][C]1.55048970792512[/C][/ROW]
[ROW][C]0.67[/C][C]6.12813503783959[/C][C]1.74283883919956[/C][/ROW]
[ROW][C]0.68[/C][C]6.4840489651561[/C][C]1.91703106223557[/C][/ROW]
[ROW][C]0.69[/C][C]6.87195392995447[/C][C]2.06121733613285[/C][/ROW]
[ROW][C]0.7[/C][C]7.28542796050609[/C][C]2.1649531748441[/C][/ROW]
[ROW][C]0.71[/C][C]7.71630222350775[/C][C]2.22054300091226[/C][/ROW]
[ROW][C]0.72[/C][C]8.155285671997[/C][C]2.22415905823673[/C][/ROW]
[ROW][C]0.73[/C][C]8.59276470345211[/C][C]2.17647820174944[/C][/ROW]
[ROW][C]0.74[/C][C]9.0196776020642[/C][C]2.08276364619614[/C][/ROW]
[ROW][C]0.75[/C][C]9.42834791232719[/C][C]1.95226612493799[/C][/ROW]
[ROW][C]0.76[/C][C]9.81316746084884[/C][C]1.79715642542302[/C][/ROW]
[ROW][C]0.77[/C][C]10.1710478144055[/C][C]1.63115240895588[/C][/ROW]
[ROW][C]0.78[/C][C]10.5016024289461[/C][C]1.46801002570481[/C][/ROW]
[ROW][C]0.79[/C][C]10.8070705701741[/C][C]1.32028197867327[/C][/ROW]
[ROW][C]0.8[/C][C]11.092036932544[/C][C]1.19835555633837[/C][/ROW]
[ROW][C]0.81[/C][C]11.3630279178332[/C][C]1.10986541617605[/C][/ROW]
[ROW][C]0.82[/C][C]11.6280704443309[/C][C]1.05947054289659[/C][/ROW]
[ROW][C]0.83[/C][C]11.896279974279[/C][C]1.04893767550433[/C][/ROW]
[ROW][C]0.84[/C][C]12.1775036707254[/C][C]1.07761961784289[/C][/ROW]
[ROW][C]0.85[/C][C]12.4819895825308[/C][C]1.14304435332542[/C][/ROW]
[ROW][C]0.86[/C][C]12.8199967197271[/C][C]1.24119901981045[/C][/ROW]
[ROW][C]0.87[/C][C]13.2012232279404[/C][C]1.36605729526892[/C][/ROW]
[ROW][C]0.88[/C][C]13.6339332783634[/C][C]1.50843968388047[/C][/ROW]
[ROW][C]0.89[/C][C]14.1237256466538[/C][C]1.65487555876442[/C][/ROW]
[ROW][C]0.9[/C][C]14.6720098113147[/C][C]1.78734126058268[/C][/ROW]
[ROW][C]0.91[/C][C]15.2744156446675[/C][C]1.88434057874517[/C][/ROW]
[ROW][C]0.92[/C][C]15.9195185951477[/C][C]1.9234555255078[/C][/ROW]
[ROW][C]0.93[/C][C]16.5883836250583[/C][C]1.88526932466276[/C][/ROW]
[ROW][C]0.94[/C][C]17.2555386328025[/C][C]1.75798140601549[/C][/ROW]
[ROW][C]0.95[/C][C]17.8920899994273[/C][C]1.54214590544467[/C][/ROW]
[ROW][C]0.96[/C][C]18.4713888435553[/C][C]1.25512507930896[/C][/ROW]
[ROW][C]0.97[/C][C]18.9755191167648[/C][C]0.936575328537945[/C][/ROW]
[ROW][C]0.98[/C][C]19.3956311998804[/C][C]0.656793838777193[/C][/ROW]
[ROW][C]0.99[/C][C]19.7168442000186[/C][C]0.50784497629599[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277350&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277350&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
0.01-8.631207890351960.20252276153261
0.02-8.45654387754690.504246733261928
0.03-8.149669652683540.894211714935072
0.04-7.717713830506311.21951652911612
0.05-7.204053753622241.38050124611248
0.06-6.669124633053831.36796712974953
0.07-6.16543001604741.23994500807572
0.08-5.722580617394011.07539611439704
0.09-5.346164974889110.937783510817854
0.1-5.025393594056250.858796203516641
0.11-4.74270595035750.83932099562733
0.12-4.481027195628380.862468336693474
0.13-4.227474707801230.908244102706858
0.14-3.974212639731140.960885722291457
0.15-3.717696267958481.01014795613496
0.16-3.457322471140831.05068176674531
0.17-3.194077591639891.08113698196735
0.18-2.92944027285621.10324410940609
0.19-2.66461260867181.12080194462573
0.2-2.400073102791181.1386333052338
0.21-2.135414102863951.16152034068608
0.22-1.869412114851751.19328633072475
0.23-1.600270357608251.23604891795805
0.24-1.32596765193691.28976530169257
0.25-1.044647091397051.35218070385066
0.26-0.7549824553477661.4191500076941
0.27-0.4564700940578711.48525074203678
0.28-0.1496087174130911.54452643091055
0.290.1640519595366941.59126094226919
0.30.4819926347923331.62063070137822
0.310.8009161838500011.62919121219794
0.321.117016075271181.61514295706309
0.331.42628068801731.5783605689815
0.341.724793295927271.52023901891533
0.352.008994466852911.44339746516085
0.362.275884675038771.35131633302939
0.372.523157149641251.24793994980369
0.382.749261812386911.13736589072176
0.392.953408933983061.02355891642523
0.43.135525313217410.910151106410392
0.413.296176763400760.80032121467677
0.423.436469467638350.69673681006883
0.433.557940478277350.601492432847942
0.443.66244523741170.516141438150089
0.453.752048066317270.441698499671875
0.463.828920311324630.378697266051918
0.473.895250159305030.32723644930178
0.483.953167827660510.287059706610043
0.494.004689658953610.257601348312415
0.54.051684431412670.238053719279107
0.514.095864812944070.227498538161319
0.524.138806230040830.22504929672342
0.534.181994342425170.230094047685873
0.544.226900585441210.242511997854953
0.554.275082600389520.26289701234689
0.564.328302617416030.292657894613668
0.574.388652012700940.334011227400855
0.584.458664761499760.389791703791911
0.594.541397304167490.4631463055737
0.64.640448896154620.55699691953527
0.614.759896591788270.673529354500634
0.624.904124278248450.813570730620694
0.635.077536635041780.976031209587588
0.645.284166319765931.15746968012411
0.655.527204208875491.35181317459086
0.665.808504594593521.55048970792512
0.676.128135037839591.74283883919956
0.686.48404896515611.91703106223557
0.696.871953929954472.06121733613285
0.77.285427960506092.1649531748441
0.717.716302223507752.22054300091226
0.728.1552856719972.22415905823673
0.738.592764703452112.17647820174944
0.749.01967760206422.08276364619614
0.759.428347912327191.95226612493799
0.769.813167460848841.79715642542302
0.7710.17104781440551.63115240895588
0.7810.50160242894611.46801002570481
0.7910.80707057017411.32028197867327
0.811.0920369325441.19835555633837
0.8111.36302791783321.10986541617605
0.8211.62807044433091.05947054289659
0.8311.8962799742791.04893767550433
0.8412.17750367072541.07761961784289
0.8512.48198958253081.14304435332542
0.8612.81999671972711.24119901981045
0.8713.20122322794041.36605729526892
0.8813.63393327836341.50843968388047
0.8914.12372564665381.65487555876442
0.914.67200981131471.78734126058268
0.9115.27441564466751.88434057874517
0.9215.91951859514771.9234555255078
0.9316.58838362505831.88526932466276
0.9417.25553863280251.75798140601549
0.9517.89208999942731.54214590544467
0.9618.47138884355531.25512507930896
0.9718.97551911676480.936575328537945
0.9819.39563119988040.656793838777193
0.9919.71684420001860.50784497629599



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')