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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 computationWed, 12 Oct 2011 14:47:32 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/12/t1318445403rj55b6icwzx68e6.htm/, Retrieved Fri, 10 May 2024 08:03:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128498, Retrieved Fri, 10 May 2024 08:03:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact107

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2011-10-12 18:47:32] [e0466c781e396ede6f5f4647349698a6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
31.956
29.506
34.506
27.165
26.736
23.691
18.157
17.328
18.205
20.995
17.382
9.367
31.124
26.551
30.651
25.859
25.100
25.778
20.418
18.688
20.424
24.776
19.814
12.738
31.566
30.111
30.019
31.934
25.826
26.835
20.205
17.789
20.520
22.518
15.572
11.509
25.447
24.090
27.786
26.195
20.516
22.759
19.028
16.971
20.036
22.485
18.730
14.538
27.561
25.985
34.670
32.066
27.186
29.586
21.359
21.553
19.573
24.256
22.380
16.167

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128498&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128498&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128498&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019.90443523720081.96030347500615
0.0210.73149470146731.83816985625184
0.0311.64921628525721.81144934539614
0.0412.53531192878661.82716283832648
0.0513.34373761082391.81343414755072
0.0614.06544409851071.74347991543813
0.0714.70227719983651.62669750994739
0.0815.25847071675961.48532559243426
0.0915.7398826163951.33971350298242
0.116.15426798684291.20326716217538
0.1116.51078643828151.08312662866776
0.1216.81907500124010.982594466529455
0.1317.08842110371380.902810700801529
0.1417.32723910933860.843445038423572
0.1517.54281678007490.802899491729278
0.1617.74123467423240.778460899796026
0.1717.92738342465270.7668200518383
0.1818.10503719298180.764529245041428
0.1918.27696067977330.768429223674196
0.218.4450344108250.775665243775775
0.2118.61038713946040.783653017131422
0.2218.77352934391770.79017709769926
0.2318.93448725761750.793406452436184
0.2419.09294011907120.792055444433929
0.2519.24836280763050.78549482069132
0.2619.40017216351140.773933421762934
0.2719.54786999087270.758351744904664
0.2819.69117131634890.740545023081849
0.2919.83010465256580.722890647401131
0.319.96507247632720.7081293448511
0.3120.09686451538860.699012975914271
0.3220.22662266647360.697920177148558
0.3320.35576305473080.706509951333074
0.3420.48586656217650.725458924392144
0.3520.61855307384920.754415961298895
0.3620.75535611986920.792137749849248
0.3720.89761340008720.836605575226986
0.3821.04638517542710.88560416906545
0.3921.20240737156790.936801410474279
0.421.36608039159920.988113272021589
0.4121.5374890977611.03783119096281
0.4221.71644514265451.08466940388445
0.4321.90254049949831.12773214485288
0.4422.09520096483771.16651591198901
0.4522.29373044546481.20066250905823
0.4622.49734044378741.2298886859726
0.4722.70516348931111.25383840258326
0.4822.91625340205041.27200662935831
0.4923.12957840155021.283791936573
0.523.34401465533691.288360741083
0.5123.5583477213621.28505670376465
0.5223.77128766842471.27332980802456
0.5323.98150091649261.25281432453586
0.5424.18765862179071.22365063364492
0.5524.38849833443741.18635265908603
0.5624.58289316853951.14189724596521
0.5724.769921178171.09176044273883
0.5824.94892719945381.03771026687476
0.5925.11957013411850.981859443741085
0.625.28185043442960.926446419781788
0.6125.43611521416110.873665010169408
0.6225.58304163890430.825573440775877
0.6325.72360257904620.78398038541456
0.6425.85902133878120.750238241937943
0.6525.99072392610520.725241729737598
0.6626.12029717510420.709595675501733
0.6726.24945868190570.703505309164173
0.6826.38004001487770.707197691261667
0.6926.5139786485440.720890134585962
0.726.65330783162450.744962398065101
0.7126.80012892957550.779775835648149
0.7226.95654965472880.825414407718848
0.7327.12457562740840.881206564483503
0.7427.30595250510930.945403368332058
0.7527.5019704730941.01494787629208
0.7627.71325929094941.08537636430459
0.7727.93961573000081.15131072537509
0.7828.17991075664621.20699798038374
0.7928.43211670643441.24718336037151
0.828.69347322726441.26806015510051
0.8128.96077764882621.26795991157214
0.8229.23074838533071.24773119000992
0.8329.50038073169781.21061449208578
0.8429.76720602876631.16144015993476
0.8530.02938834624511.10534201627984
0.8630.28565226981361.04637584487566
0.8730.53512690310280.986434859764284
0.8830.77729862823750.925157374753963
0.8931.01235389055240.86138531253159
0.931.2421975821250.79595820710452
0.9131.47224274943190.735911905216228
0.9231.71354589645170.699877629538587
0.9331.98395153113060.72038792617644
0.9432.3058881069590.827607722656412
0.9532.69826072550921.00995481252534
0.9633.16206742540281.18930238819176
0.9733.66495391294551.23338648030508
0.9834.13693396117981.02107322051061
0.9934.49103657761050.571225609972267

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.9044352372008 & 1.96030347500615 \tabularnewline
0.02 & 10.7314947014673 & 1.83816985625184 \tabularnewline
0.03 & 11.6492162852572 & 1.81144934539614 \tabularnewline
0.04 & 12.5353119287866 & 1.82716283832648 \tabularnewline
0.05 & 13.3437376108239 & 1.81343414755072 \tabularnewline
0.06 & 14.0654440985107 & 1.74347991543813 \tabularnewline
0.07 & 14.7022771998365 & 1.62669750994739 \tabularnewline
0.08 & 15.2584707167596 & 1.48532559243426 \tabularnewline
0.09 & 15.739882616395 & 1.33971350298242 \tabularnewline
0.1 & 16.1542679868429 & 1.20326716217538 \tabularnewline
0.11 & 16.5107864382815 & 1.08312662866776 \tabularnewline
0.12 & 16.8190750012401 & 0.982594466529455 \tabularnewline
0.13 & 17.0884211037138 & 0.902810700801529 \tabularnewline
0.14 & 17.3272391093386 & 0.843445038423572 \tabularnewline
0.15 & 17.5428167800749 & 0.802899491729278 \tabularnewline
0.16 & 17.7412346742324 & 0.778460899796026 \tabularnewline
0.17 & 17.9273834246527 & 0.7668200518383 \tabularnewline
0.18 & 18.1050371929818 & 0.764529245041428 \tabularnewline
0.19 & 18.2769606797733 & 0.768429223674196 \tabularnewline
0.2 & 18.445034410825 & 0.775665243775775 \tabularnewline
0.21 & 18.6103871394604 & 0.783653017131422 \tabularnewline
0.22 & 18.7735293439177 & 0.79017709769926 \tabularnewline
0.23 & 18.9344872576175 & 0.793406452436184 \tabularnewline
0.24 & 19.0929401190712 & 0.792055444433929 \tabularnewline
0.25 & 19.2483628076305 & 0.78549482069132 \tabularnewline
0.26 & 19.4001721635114 & 0.773933421762934 \tabularnewline
0.27 & 19.5478699908727 & 0.758351744904664 \tabularnewline
0.28 & 19.6911713163489 & 0.740545023081849 \tabularnewline
0.29 & 19.8301046525658 & 0.722890647401131 \tabularnewline
0.3 & 19.9650724763272 & 0.7081293448511 \tabularnewline
0.31 & 20.0968645153886 & 0.699012975914271 \tabularnewline
0.32 & 20.2266226664736 & 0.697920177148558 \tabularnewline
0.33 & 20.3557630547308 & 0.706509951333074 \tabularnewline
0.34 & 20.4858665621765 & 0.725458924392144 \tabularnewline
0.35 & 20.6185530738492 & 0.754415961298895 \tabularnewline
0.36 & 20.7553561198692 & 0.792137749849248 \tabularnewline
0.37 & 20.8976134000872 & 0.836605575226986 \tabularnewline
0.38 & 21.0463851754271 & 0.88560416906545 \tabularnewline
0.39 & 21.2024073715679 & 0.936801410474279 \tabularnewline
0.4 & 21.3660803915992 & 0.988113272021589 \tabularnewline
0.41 & 21.537489097761 & 1.03783119096281 \tabularnewline
0.42 & 21.7164451426545 & 1.08466940388445 \tabularnewline
0.43 & 21.9025404994983 & 1.12773214485288 \tabularnewline
0.44 & 22.0952009648377 & 1.16651591198901 \tabularnewline
0.45 & 22.2937304454648 & 1.20066250905823 \tabularnewline
0.46 & 22.4973404437874 & 1.2298886859726 \tabularnewline
0.47 & 22.7051634893111 & 1.25383840258326 \tabularnewline
0.48 & 22.9162534020504 & 1.27200662935831 \tabularnewline
0.49 & 23.1295784015502 & 1.283791936573 \tabularnewline
0.5 & 23.3440146553369 & 1.288360741083 \tabularnewline
0.51 & 23.558347721362 & 1.28505670376465 \tabularnewline
0.52 & 23.7712876684247 & 1.27332980802456 \tabularnewline
0.53 & 23.9815009164926 & 1.25281432453586 \tabularnewline
0.54 & 24.1876586217907 & 1.22365063364492 \tabularnewline
0.55 & 24.3884983344374 & 1.18635265908603 \tabularnewline
0.56 & 24.5828931685395 & 1.14189724596521 \tabularnewline
0.57 & 24.76992117817 & 1.09176044273883 \tabularnewline
0.58 & 24.9489271994538 & 1.03771026687476 \tabularnewline
0.59 & 25.1195701341185 & 0.981859443741085 \tabularnewline
0.6 & 25.2818504344296 & 0.926446419781788 \tabularnewline
0.61 & 25.4361152141611 & 0.873665010169408 \tabularnewline
0.62 & 25.5830416389043 & 0.825573440775877 \tabularnewline
0.63 & 25.7236025790462 & 0.78398038541456 \tabularnewline
0.64 & 25.8590213387812 & 0.750238241937943 \tabularnewline
0.65 & 25.9907239261052 & 0.725241729737598 \tabularnewline
0.66 & 26.1202971751042 & 0.709595675501733 \tabularnewline
0.67 & 26.2494586819057 & 0.703505309164173 \tabularnewline
0.68 & 26.3800400148777 & 0.707197691261667 \tabularnewline
0.69 & 26.513978648544 & 0.720890134585962 \tabularnewline
0.7 & 26.6533078316245 & 0.744962398065101 \tabularnewline
0.71 & 26.8001289295755 & 0.779775835648149 \tabularnewline
0.72 & 26.9565496547288 & 0.825414407718848 \tabularnewline
0.73 & 27.1245756274084 & 0.881206564483503 \tabularnewline
0.74 & 27.3059525051093 & 0.945403368332058 \tabularnewline
0.75 & 27.501970473094 & 1.01494787629208 \tabularnewline
0.76 & 27.7132592909494 & 1.08537636430459 \tabularnewline
0.77 & 27.9396157300008 & 1.15131072537509 \tabularnewline
0.78 & 28.1799107566462 & 1.20699798038374 \tabularnewline
0.79 & 28.4321167064344 & 1.24718336037151 \tabularnewline
0.8 & 28.6934732272644 & 1.26806015510051 \tabularnewline
0.81 & 28.9607776488262 & 1.26795991157214 \tabularnewline
0.82 & 29.2307483853307 & 1.24773119000992 \tabularnewline
0.83 & 29.5003807316978 & 1.21061449208578 \tabularnewline
0.84 & 29.7672060287663 & 1.16144015993476 \tabularnewline
0.85 & 30.0293883462451 & 1.10534201627984 \tabularnewline
0.86 & 30.2856522698136 & 1.04637584487566 \tabularnewline
0.87 & 30.5351269031028 & 0.986434859764284 \tabularnewline
0.88 & 30.7772986282375 & 0.925157374753963 \tabularnewline
0.89 & 31.0123538905524 & 0.86138531253159 \tabularnewline
0.9 & 31.242197582125 & 0.79595820710452 \tabularnewline
0.91 & 31.4722427494319 & 0.735911905216228 \tabularnewline
0.92 & 31.7135458964517 & 0.699877629538587 \tabularnewline
0.93 & 31.9839515311306 & 0.72038792617644 \tabularnewline
0.94 & 32.305888106959 & 0.827607722656412 \tabularnewline
0.95 & 32.6982607255092 & 1.00995481252534 \tabularnewline
0.96 & 33.1620674254028 & 1.18930238819176 \tabularnewline
0.97 & 33.6649539129455 & 1.23338648030508 \tabularnewline
0.98 & 34.1369339611798 & 1.02107322051061 \tabularnewline
0.99 & 34.4910365776105 & 0.571225609972267 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128498&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]9.9044352372008[/C][C]1.96030347500615[/C][/ROW]
[ROW][C]0.02[/C][C]10.7314947014673[/C][C]1.83816985625184[/C][/ROW]
[ROW][C]0.03[/C][C]11.6492162852572[/C][C]1.81144934539614[/C][/ROW]
[ROW][C]0.04[/C][C]12.5353119287866[/C][C]1.82716283832648[/C][/ROW]
[ROW][C]0.05[/C][C]13.3437376108239[/C][C]1.81343414755072[/C][/ROW]
[ROW][C]0.06[/C][C]14.0654440985107[/C][C]1.74347991543813[/C][/ROW]
[ROW][C]0.07[/C][C]14.7022771998365[/C][C]1.62669750994739[/C][/ROW]
[ROW][C]0.08[/C][C]15.2584707167596[/C][C]1.48532559243426[/C][/ROW]
[ROW][C]0.09[/C][C]15.739882616395[/C][C]1.33971350298242[/C][/ROW]
[ROW][C]0.1[/C][C]16.1542679868429[/C][C]1.20326716217538[/C][/ROW]
[ROW][C]0.11[/C][C]16.5107864382815[/C][C]1.08312662866776[/C][/ROW]
[ROW][C]0.12[/C][C]16.8190750012401[/C][C]0.982594466529455[/C][/ROW]
[ROW][C]0.13[/C][C]17.0884211037138[/C][C]0.902810700801529[/C][/ROW]
[ROW][C]0.14[/C][C]17.3272391093386[/C][C]0.843445038423572[/C][/ROW]
[ROW][C]0.15[/C][C]17.5428167800749[/C][C]0.802899491729278[/C][/ROW]
[ROW][C]0.16[/C][C]17.7412346742324[/C][C]0.778460899796026[/C][/ROW]
[ROW][C]0.17[/C][C]17.9273834246527[/C][C]0.7668200518383[/C][/ROW]
[ROW][C]0.18[/C][C]18.1050371929818[/C][C]0.764529245041428[/C][/ROW]
[ROW][C]0.19[/C][C]18.2769606797733[/C][C]0.768429223674196[/C][/ROW]
[ROW][C]0.2[/C][C]18.445034410825[/C][C]0.775665243775775[/C][/ROW]
[ROW][C]0.21[/C][C]18.6103871394604[/C][C]0.783653017131422[/C][/ROW]
[ROW][C]0.22[/C][C]18.7735293439177[/C][C]0.79017709769926[/C][/ROW]
[ROW][C]0.23[/C][C]18.9344872576175[/C][C]0.793406452436184[/C][/ROW]
[ROW][C]0.24[/C][C]19.0929401190712[/C][C]0.792055444433929[/C][/ROW]
[ROW][C]0.25[/C][C]19.2483628076305[/C][C]0.78549482069132[/C][/ROW]
[ROW][C]0.26[/C][C]19.4001721635114[/C][C]0.773933421762934[/C][/ROW]
[ROW][C]0.27[/C][C]19.5478699908727[/C][C]0.758351744904664[/C][/ROW]
[ROW][C]0.28[/C][C]19.6911713163489[/C][C]0.740545023081849[/C][/ROW]
[ROW][C]0.29[/C][C]19.8301046525658[/C][C]0.722890647401131[/C][/ROW]
[ROW][C]0.3[/C][C]19.9650724763272[/C][C]0.7081293448511[/C][/ROW]
[ROW][C]0.31[/C][C]20.0968645153886[/C][C]0.699012975914271[/C][/ROW]
[ROW][C]0.32[/C][C]20.2266226664736[/C][C]0.697920177148558[/C][/ROW]
[ROW][C]0.33[/C][C]20.3557630547308[/C][C]0.706509951333074[/C][/ROW]
[ROW][C]0.34[/C][C]20.4858665621765[/C][C]0.725458924392144[/C][/ROW]
[ROW][C]0.35[/C][C]20.6185530738492[/C][C]0.754415961298895[/C][/ROW]
[ROW][C]0.36[/C][C]20.7553561198692[/C][C]0.792137749849248[/C][/ROW]
[ROW][C]0.37[/C][C]20.8976134000872[/C][C]0.836605575226986[/C][/ROW]
[ROW][C]0.38[/C][C]21.0463851754271[/C][C]0.88560416906545[/C][/ROW]
[ROW][C]0.39[/C][C]21.2024073715679[/C][C]0.936801410474279[/C][/ROW]
[ROW][C]0.4[/C][C]21.3660803915992[/C][C]0.988113272021589[/C][/ROW]
[ROW][C]0.41[/C][C]21.537489097761[/C][C]1.03783119096281[/C][/ROW]
[ROW][C]0.42[/C][C]21.7164451426545[/C][C]1.08466940388445[/C][/ROW]
[ROW][C]0.43[/C][C]21.9025404994983[/C][C]1.12773214485288[/C][/ROW]
[ROW][C]0.44[/C][C]22.0952009648377[/C][C]1.16651591198901[/C][/ROW]
[ROW][C]0.45[/C][C]22.2937304454648[/C][C]1.20066250905823[/C][/ROW]
[ROW][C]0.46[/C][C]22.4973404437874[/C][C]1.2298886859726[/C][/ROW]
[ROW][C]0.47[/C][C]22.7051634893111[/C][C]1.25383840258326[/C][/ROW]
[ROW][C]0.48[/C][C]22.9162534020504[/C][C]1.27200662935831[/C][/ROW]
[ROW][C]0.49[/C][C]23.1295784015502[/C][C]1.283791936573[/C][/ROW]
[ROW][C]0.5[/C][C]23.3440146553369[/C][C]1.288360741083[/C][/ROW]
[ROW][C]0.51[/C][C]23.558347721362[/C][C]1.28505670376465[/C][/ROW]
[ROW][C]0.52[/C][C]23.7712876684247[/C][C]1.27332980802456[/C][/ROW]
[ROW][C]0.53[/C][C]23.9815009164926[/C][C]1.25281432453586[/C][/ROW]
[ROW][C]0.54[/C][C]24.1876586217907[/C][C]1.22365063364492[/C][/ROW]
[ROW][C]0.55[/C][C]24.3884983344374[/C][C]1.18635265908603[/C][/ROW]
[ROW][C]0.56[/C][C]24.5828931685395[/C][C]1.14189724596521[/C][/ROW]
[ROW][C]0.57[/C][C]24.76992117817[/C][C]1.09176044273883[/C][/ROW]
[ROW][C]0.58[/C][C]24.9489271994538[/C][C]1.03771026687476[/C][/ROW]
[ROW][C]0.59[/C][C]25.1195701341185[/C][C]0.981859443741085[/C][/ROW]
[ROW][C]0.6[/C][C]25.2818504344296[/C][C]0.926446419781788[/C][/ROW]
[ROW][C]0.61[/C][C]25.4361152141611[/C][C]0.873665010169408[/C][/ROW]
[ROW][C]0.62[/C][C]25.5830416389043[/C][C]0.825573440775877[/C][/ROW]
[ROW][C]0.63[/C][C]25.7236025790462[/C][C]0.78398038541456[/C][/ROW]
[ROW][C]0.64[/C][C]25.8590213387812[/C][C]0.750238241937943[/C][/ROW]
[ROW][C]0.65[/C][C]25.9907239261052[/C][C]0.725241729737598[/C][/ROW]
[ROW][C]0.66[/C][C]26.1202971751042[/C][C]0.709595675501733[/C][/ROW]
[ROW][C]0.67[/C][C]26.2494586819057[/C][C]0.703505309164173[/C][/ROW]
[ROW][C]0.68[/C][C]26.3800400148777[/C][C]0.707197691261667[/C][/ROW]
[ROW][C]0.69[/C][C]26.513978648544[/C][C]0.720890134585962[/C][/ROW]
[ROW][C]0.7[/C][C]26.6533078316245[/C][C]0.744962398065101[/C][/ROW]
[ROW][C]0.71[/C][C]26.8001289295755[/C][C]0.779775835648149[/C][/ROW]
[ROW][C]0.72[/C][C]26.9565496547288[/C][C]0.825414407718848[/C][/ROW]
[ROW][C]0.73[/C][C]27.1245756274084[/C][C]0.881206564483503[/C][/ROW]
[ROW][C]0.74[/C][C]27.3059525051093[/C][C]0.945403368332058[/C][/ROW]
[ROW][C]0.75[/C][C]27.501970473094[/C][C]1.01494787629208[/C][/ROW]
[ROW][C]0.76[/C][C]27.7132592909494[/C][C]1.08537636430459[/C][/ROW]
[ROW][C]0.77[/C][C]27.9396157300008[/C][C]1.15131072537509[/C][/ROW]
[ROW][C]0.78[/C][C]28.1799107566462[/C][C]1.20699798038374[/C][/ROW]
[ROW][C]0.79[/C][C]28.4321167064344[/C][C]1.24718336037151[/C][/ROW]
[ROW][C]0.8[/C][C]28.6934732272644[/C][C]1.26806015510051[/C][/ROW]
[ROW][C]0.81[/C][C]28.9607776488262[/C][C]1.26795991157214[/C][/ROW]
[ROW][C]0.82[/C][C]29.2307483853307[/C][C]1.24773119000992[/C][/ROW]
[ROW][C]0.83[/C][C]29.5003807316978[/C][C]1.21061449208578[/C][/ROW]
[ROW][C]0.84[/C][C]29.7672060287663[/C][C]1.16144015993476[/C][/ROW]
[ROW][C]0.85[/C][C]30.0293883462451[/C][C]1.10534201627984[/C][/ROW]
[ROW][C]0.86[/C][C]30.2856522698136[/C][C]1.04637584487566[/C][/ROW]
[ROW][C]0.87[/C][C]30.5351269031028[/C][C]0.986434859764284[/C][/ROW]
[ROW][C]0.88[/C][C]30.7772986282375[/C][C]0.925157374753963[/C][/ROW]
[ROW][C]0.89[/C][C]31.0123538905524[/C][C]0.86138531253159[/C][/ROW]
[ROW][C]0.9[/C][C]31.242197582125[/C][C]0.79595820710452[/C][/ROW]
[ROW][C]0.91[/C][C]31.4722427494319[/C][C]0.735911905216228[/C][/ROW]
[ROW][C]0.92[/C][C]31.7135458964517[/C][C]0.699877629538587[/C][/ROW]
[ROW][C]0.93[/C][C]31.9839515311306[/C][C]0.72038792617644[/C][/ROW]
[ROW][C]0.94[/C][C]32.305888106959[/C][C]0.827607722656412[/C][/ROW]
[ROW][C]0.95[/C][C]32.6982607255092[/C][C]1.00995481252534[/C][/ROW]
[ROW][C]0.96[/C][C]33.1620674254028[/C][C]1.18930238819176[/C][/ROW]
[ROW][C]0.97[/C][C]33.6649539129455[/C][C]1.23338648030508[/C][/ROW]
[ROW][C]0.98[/C][C]34.1369339611798[/C][C]1.02107322051061[/C][/ROW]
[ROW][C]0.99[/C][C]34.4910365776105[/C][C]0.571225609972267[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128498&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128498&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
0.019.90443523720081.96030347500615
0.0210.73149470146731.83816985625184
0.0311.64921628525721.81144934539614
0.0412.53531192878661.82716283832648
0.0513.34373761082391.81343414755072
0.0614.06544409851071.74347991543813
0.0714.70227719983651.62669750994739
0.0815.25847071675961.48532559243426
0.0915.7398826163951.33971350298242
0.116.15426798684291.20326716217538
0.1116.51078643828151.08312662866776
0.1216.81907500124010.982594466529455
0.1317.08842110371380.902810700801529
0.1417.32723910933860.843445038423572
0.1517.54281678007490.802899491729278
0.1617.74123467423240.778460899796026
0.1717.92738342465270.7668200518383
0.1818.10503719298180.764529245041428
0.1918.27696067977330.768429223674196
0.218.4450344108250.775665243775775
0.2118.61038713946040.783653017131422
0.2218.77352934391770.79017709769926
0.2318.93448725761750.793406452436184
0.2419.09294011907120.792055444433929
0.2519.24836280763050.78549482069132
0.2619.40017216351140.773933421762934
0.2719.54786999087270.758351744904664
0.2819.69117131634890.740545023081849
0.2919.83010465256580.722890647401131
0.319.96507247632720.7081293448511
0.3120.09686451538860.699012975914271
0.3220.22662266647360.697920177148558
0.3320.35576305473080.706509951333074
0.3420.48586656217650.725458924392144
0.3520.61855307384920.754415961298895
0.3620.75535611986920.792137749849248
0.3720.89761340008720.836605575226986
0.3821.04638517542710.88560416906545
0.3921.20240737156790.936801410474279
0.421.36608039159920.988113272021589
0.4121.5374890977611.03783119096281
0.4221.71644514265451.08466940388445
0.4321.90254049949831.12773214485288
0.4422.09520096483771.16651591198901
0.4522.29373044546481.20066250905823
0.4622.49734044378741.2298886859726
0.4722.70516348931111.25383840258326
0.4822.91625340205041.27200662935831
0.4923.12957840155021.283791936573
0.523.34401465533691.288360741083
0.5123.5583477213621.28505670376465
0.5223.77128766842471.27332980802456
0.5323.98150091649261.25281432453586
0.5424.18765862179071.22365063364492
0.5524.38849833443741.18635265908603
0.5624.58289316853951.14189724596521
0.5724.769921178171.09176044273883
0.5824.94892719945381.03771026687476
0.5925.11957013411850.981859443741085
0.625.28185043442960.926446419781788
0.6125.43611521416110.873665010169408
0.6225.58304163890430.825573440775877
0.6325.72360257904620.78398038541456
0.6425.85902133878120.750238241937943
0.6525.99072392610520.725241729737598
0.6626.12029717510420.709595675501733
0.6726.24945868190570.703505309164173
0.6826.38004001487770.707197691261667
0.6926.5139786485440.720890134585962
0.726.65330783162450.744962398065101
0.7126.80012892957550.779775835648149
0.7226.95654965472880.825414407718848
0.7327.12457562740840.881206564483503
0.7427.30595250510930.945403368332058
0.7527.5019704730941.01494787629208
0.7627.71325929094941.08537636430459
0.7727.93961573000081.15131072537509
0.7828.17991075664621.20699798038374
0.7928.43211670643441.24718336037151
0.828.69347322726441.26806015510051
0.8128.96077764882621.26795991157214
0.8229.23074838533071.24773119000992
0.8329.50038073169781.21061449208578
0.8429.76720602876631.16144015993476
0.8530.02938834624511.10534201627984
0.8630.28565226981361.04637584487566
0.8730.53512690310280.986434859764284
0.8830.77729862823750.925157374753963
0.8931.01235389055240.86138531253159
0.931.2421975821250.79595820710452
0.9131.47224274943190.735911905216228
0.9231.71354589645170.699877629538587
0.9331.98395153113060.72038792617644
0.9432.3058881069590.827607722656412
0.9532.69826072550921.00995481252534
0.9633.16206742540281.18930238819176
0.9733.66495391294551.23338648030508
0.9834.13693396117981.02107322051061
0.9934.49103657761050.571225609972267


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 1 ; par3 = 0.1 ;
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')