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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, 22 Feb 2012 17:38:36 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/22/t132995035676xred9drszohbl.htm/, Retrieved Mon, 06 May 2024 14:27:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163255, Retrieved Mon, 06 May 2024 14:27:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101

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] [Harrel-Davis perc...] [2012-02-22 22:38:36] [1f07dfe249cf12c76d4857e2b59f088a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92.8
90.61
88.49
88.33
87.7
87.33
87.33
87.33
85.47
86.1
86.1
86.13
83.31
83.31
83.55
84.11
84.11
77.59
77.59
76.44
72.71
72.9
72.39
72.46
72.48
72.48
72.48
72.3
72.3
72.3
71.14
71.14
68.99
68.42
68.42
69.28
65.22
70.21
70.21
71.2
68.94
68.94
68.93
68.93
68.93
68.93
59.94
61.04
60.2
60.2
60.12
60.25
58.03
62.37
62.16
62.16
62.16
62.16
62.29
64.39

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'AstonUniversity' @ aston.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 & 11 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163255&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]11 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163255&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163255&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 time11 seconds
R Server'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0158.42175722787661.54193611775532
0.0258.94851836740691.09422250637439
0.0359.42868400886340.703258674148614
0.0459.78705960085990.453602129877356
0.0560.03610949702210.363272250478655
0.0660.22117515857270.400410905379963
0.0760.38437404572070.501633532418019
0.0860.55238471379450.620712611680745
0.0960.7370589085970.730260945191313
0.160.94004010069390.814662261349088
0.1161.15760397261020.869783448915267
0.1261.38465227970130.903145159698737
0.1361.61759597168930.93196340363965
0.1461.85600478698380.978677621436752
0.1562.10300768935131.06382454890584
0.1662.3646071787561.19815560447947
0.1762.6482422558291.37968801639996
0.1862.96102593841591.59585186070721
0.1963.30807366250491.82744091365213
0.263.6912494560032.05255893124859
0.2164.10852427803872.24936267762718
0.2264.55400056874732.39883247709437
0.2365.01853477246992.48704135059163
0.2465.49080096740352.50656758989595
0.2565.95859056955462.45705961740708
0.2666.41013519832672.34471200714269
0.2766.83526642869952.18139928664384
0.2867.22627735779051.98217410535949
0.2967.57841436700381.76402197042587
0.367.88999073828421.54359650870471
0.3168.16216658289261.33593882426295
0.3268.39847532508431.1533571550285
0.3368.60419359735021.00519711276518
0.3468.78565062391740.897295463218415
0.3568.94955944747860.831480380628188
0.3669.10243124664120.80547880469193
0.3769.2501107377790.812622485111298
0.3869.3974492338270.844281994007605
0.3969.5481147005280.891335006183178
0.469.70452597283790.945456304141107
0.4169.86789096663950.999617856510294
0.4270.03832546352941.04822721824317
0.4370.21502890176281.08711168421623
0.4470.39649566989051.11308799718912
0.4570.58074389107881.12456212007392
0.4670.76554792499991.1210606901559
0.4770.9486651718131.10314309614213
0.4871.12805164485811.07266618986095
0.4971.3020636566581.0321161635743
0.571.46964444008160.98538586856159
0.5171.63049441042520.93709583638233
0.5271.78522212491860.89289127836625
0.5371.93547013721210.859650104059078
0.5472.08400643447150.845353694537378
0.5572.2347687209810.85890142760012
0.5672.39284631507810.908748045960436
0.5772.56438371034041.00145346447379
0.5872.75639168108771.14120839537103
0.5972.9764567373961.32874353903718
0.673.23234795947591.56190542729976
0.6173.53153149247361.83585364780816
0.6273.88061641538232.14293096269006
0.6374.28476986412092.47235628976251
0.6474.74715220012282.81062832062757
0.6575.26843231149533.14207373269234
0.6675.84644636529563.44976520156392
0.6776.47605835382783.71662334448693
0.6877.14926624543423.92673112347969
0.6977.85557343877054.06746957165478
0.778.58261331622424.12998417441068
0.7179.3169788582374.11101384626474
0.7280.04517528723364.0129039683511
0.7380.7545884599643.84374977272637
0.7481.43435181323023.61643081791721
0.7582.07600448433343.34732350120284
0.7682.67386315047563.05429844629614
0.7783.22507550361652.75479058451279
0.7883.7293748830252.46411872944782
0.7984.18860189041152.19355028881778
0.884.6060894961741.95010379354636
0.8184.98601770908681.73641273241689
0.8285.3328336195221.55153295734534
0.8385.65080970318911.39228723309162
0.8485.94378693226811.2543760876451
0.8586.21512603725171.13359251771353
0.8686.46787155409581.02633743897047
0.8786.70511767263630.930678970595249
0.8886.93055481110860.846968962055989
0.8987.14918206509470.7783313569093
0.987.36820474138640.730897448257399
0.9187.5981850073880.712964372926054
0.9287.85450692306760.734966205854702
0.9388.159013409980.809936857768443
0.9488.54107479209460.951604453409127
0.9589.0361107937051.16373530892668
0.9689.67748987204771.42458245241713
0.9790.4754364899031.68521861959676
0.9891.37872176656111.89843463546039
0.9992.23370861093542.05432155865177

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 58.4217572278766 & 1.54193611775532 \tabularnewline
0.02 & 58.9485183674069 & 1.09422250637439 \tabularnewline
0.03 & 59.4286840088634 & 0.703258674148614 \tabularnewline
0.04 & 59.7870596008599 & 0.453602129877356 \tabularnewline
0.05 & 60.0361094970221 & 0.363272250478655 \tabularnewline
0.06 & 60.2211751585727 & 0.400410905379963 \tabularnewline
0.07 & 60.3843740457207 & 0.501633532418019 \tabularnewline
0.08 & 60.5523847137945 & 0.620712611680745 \tabularnewline
0.09 & 60.737058908597 & 0.730260945191313 \tabularnewline
0.1 & 60.9400401006939 & 0.814662261349088 \tabularnewline
0.11 & 61.1576039726102 & 0.869783448915267 \tabularnewline
0.12 & 61.3846522797013 & 0.903145159698737 \tabularnewline
0.13 & 61.6175959716893 & 0.93196340363965 \tabularnewline
0.14 & 61.8560047869838 & 0.978677621436752 \tabularnewline
0.15 & 62.1030076893513 & 1.06382454890584 \tabularnewline
0.16 & 62.364607178756 & 1.19815560447947 \tabularnewline
0.17 & 62.648242255829 & 1.37968801639996 \tabularnewline
0.18 & 62.9610259384159 & 1.59585186070721 \tabularnewline
0.19 & 63.3080736625049 & 1.82744091365213 \tabularnewline
0.2 & 63.691249456003 & 2.05255893124859 \tabularnewline
0.21 & 64.1085242780387 & 2.24936267762718 \tabularnewline
0.22 & 64.5540005687473 & 2.39883247709437 \tabularnewline
0.23 & 65.0185347724699 & 2.48704135059163 \tabularnewline
0.24 & 65.4908009674035 & 2.50656758989595 \tabularnewline
0.25 & 65.9585905695546 & 2.45705961740708 \tabularnewline
0.26 & 66.4101351983267 & 2.34471200714269 \tabularnewline
0.27 & 66.8352664286995 & 2.18139928664384 \tabularnewline
0.28 & 67.2262773577905 & 1.98217410535949 \tabularnewline
0.29 & 67.5784143670038 & 1.76402197042587 \tabularnewline
0.3 & 67.8899907382842 & 1.54359650870471 \tabularnewline
0.31 & 68.1621665828926 & 1.33593882426295 \tabularnewline
0.32 & 68.3984753250843 & 1.1533571550285 \tabularnewline
0.33 & 68.6041935973502 & 1.00519711276518 \tabularnewline
0.34 & 68.7856506239174 & 0.897295463218415 \tabularnewline
0.35 & 68.9495594474786 & 0.831480380628188 \tabularnewline
0.36 & 69.1024312466412 & 0.80547880469193 \tabularnewline
0.37 & 69.250110737779 & 0.812622485111298 \tabularnewline
0.38 & 69.397449233827 & 0.844281994007605 \tabularnewline
0.39 & 69.548114700528 & 0.891335006183178 \tabularnewline
0.4 & 69.7045259728379 & 0.945456304141107 \tabularnewline
0.41 & 69.8678909666395 & 0.999617856510294 \tabularnewline
0.42 & 70.0383254635294 & 1.04822721824317 \tabularnewline
0.43 & 70.2150289017628 & 1.08711168421623 \tabularnewline
0.44 & 70.3964956698905 & 1.11308799718912 \tabularnewline
0.45 & 70.5807438910788 & 1.12456212007392 \tabularnewline
0.46 & 70.7655479249999 & 1.1210606901559 \tabularnewline
0.47 & 70.948665171813 & 1.10314309614213 \tabularnewline
0.48 & 71.1280516448581 & 1.07266618986095 \tabularnewline
0.49 & 71.302063656658 & 1.0321161635743 \tabularnewline
0.5 & 71.4696444400816 & 0.98538586856159 \tabularnewline
0.51 & 71.6304944104252 & 0.93709583638233 \tabularnewline
0.52 & 71.7852221249186 & 0.89289127836625 \tabularnewline
0.53 & 71.9354701372121 & 0.859650104059078 \tabularnewline
0.54 & 72.0840064344715 & 0.845353694537378 \tabularnewline
0.55 & 72.234768720981 & 0.85890142760012 \tabularnewline
0.56 & 72.3928463150781 & 0.908748045960436 \tabularnewline
0.57 & 72.5643837103404 & 1.00145346447379 \tabularnewline
0.58 & 72.7563916810877 & 1.14120839537103 \tabularnewline
0.59 & 72.976456737396 & 1.32874353903718 \tabularnewline
0.6 & 73.2323479594759 & 1.56190542729976 \tabularnewline
0.61 & 73.5315314924736 & 1.83585364780816 \tabularnewline
0.62 & 73.8806164153823 & 2.14293096269006 \tabularnewline
0.63 & 74.2847698641209 & 2.47235628976251 \tabularnewline
0.64 & 74.7471522001228 & 2.81062832062757 \tabularnewline
0.65 & 75.2684323114953 & 3.14207373269234 \tabularnewline
0.66 & 75.8464463652956 & 3.44976520156392 \tabularnewline
0.67 & 76.4760583538278 & 3.71662334448693 \tabularnewline
0.68 & 77.1492662454342 & 3.92673112347969 \tabularnewline
0.69 & 77.8555734387705 & 4.06746957165478 \tabularnewline
0.7 & 78.5826133162242 & 4.12998417441068 \tabularnewline
0.71 & 79.316978858237 & 4.11101384626474 \tabularnewline
0.72 & 80.0451752872336 & 4.0129039683511 \tabularnewline
0.73 & 80.754588459964 & 3.84374977272637 \tabularnewline
0.74 & 81.4343518132302 & 3.61643081791721 \tabularnewline
0.75 & 82.0760044843334 & 3.34732350120284 \tabularnewline
0.76 & 82.6738631504756 & 3.05429844629614 \tabularnewline
0.77 & 83.2250755036165 & 2.75479058451279 \tabularnewline
0.78 & 83.729374883025 & 2.46411872944782 \tabularnewline
0.79 & 84.1886018904115 & 2.19355028881778 \tabularnewline
0.8 & 84.606089496174 & 1.95010379354636 \tabularnewline
0.81 & 84.9860177090868 & 1.73641273241689 \tabularnewline
0.82 & 85.332833619522 & 1.55153295734534 \tabularnewline
0.83 & 85.6508097031891 & 1.39228723309162 \tabularnewline
0.84 & 85.9437869322681 & 1.2543760876451 \tabularnewline
0.85 & 86.2151260372517 & 1.13359251771353 \tabularnewline
0.86 & 86.4678715540958 & 1.02633743897047 \tabularnewline
0.87 & 86.7051176726363 & 0.930678970595249 \tabularnewline
0.88 & 86.9305548111086 & 0.846968962055989 \tabularnewline
0.89 & 87.1491820650947 & 0.7783313569093 \tabularnewline
0.9 & 87.3682047413864 & 0.730897448257399 \tabularnewline
0.91 & 87.598185007388 & 0.712964372926054 \tabularnewline
0.92 & 87.8545069230676 & 0.734966205854702 \tabularnewline
0.93 & 88.15901340998 & 0.809936857768443 \tabularnewline
0.94 & 88.5410747920946 & 0.951604453409127 \tabularnewline
0.95 & 89.036110793705 & 1.16373530892668 \tabularnewline
0.96 & 89.6774898720477 & 1.42458245241713 \tabularnewline
0.97 & 90.475436489903 & 1.68521861959676 \tabularnewline
0.98 & 91.3787217665611 & 1.89843463546039 \tabularnewline
0.99 & 92.2337086109354 & 2.05432155865177 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163255&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]58.4217572278766[/C][C]1.54193611775532[/C][/ROW]
[ROW][C]0.02[/C][C]58.9485183674069[/C][C]1.09422250637439[/C][/ROW]
[ROW][C]0.03[/C][C]59.4286840088634[/C][C]0.703258674148614[/C][/ROW]
[ROW][C]0.04[/C][C]59.7870596008599[/C][C]0.453602129877356[/C][/ROW]
[ROW][C]0.05[/C][C]60.0361094970221[/C][C]0.363272250478655[/C][/ROW]
[ROW][C]0.06[/C][C]60.2211751585727[/C][C]0.400410905379963[/C][/ROW]
[ROW][C]0.07[/C][C]60.3843740457207[/C][C]0.501633532418019[/C][/ROW]
[ROW][C]0.08[/C][C]60.5523847137945[/C][C]0.620712611680745[/C][/ROW]
[ROW][C]0.09[/C][C]60.737058908597[/C][C]0.730260945191313[/C][/ROW]
[ROW][C]0.1[/C][C]60.9400401006939[/C][C]0.814662261349088[/C][/ROW]
[ROW][C]0.11[/C][C]61.1576039726102[/C][C]0.869783448915267[/C][/ROW]
[ROW][C]0.12[/C][C]61.3846522797013[/C][C]0.903145159698737[/C][/ROW]
[ROW][C]0.13[/C][C]61.6175959716893[/C][C]0.93196340363965[/C][/ROW]
[ROW][C]0.14[/C][C]61.8560047869838[/C][C]0.978677621436752[/C][/ROW]
[ROW][C]0.15[/C][C]62.1030076893513[/C][C]1.06382454890584[/C][/ROW]
[ROW][C]0.16[/C][C]62.364607178756[/C][C]1.19815560447947[/C][/ROW]
[ROW][C]0.17[/C][C]62.648242255829[/C][C]1.37968801639996[/C][/ROW]
[ROW][C]0.18[/C][C]62.9610259384159[/C][C]1.59585186070721[/C][/ROW]
[ROW][C]0.19[/C][C]63.3080736625049[/C][C]1.82744091365213[/C][/ROW]
[ROW][C]0.2[/C][C]63.691249456003[/C][C]2.05255893124859[/C][/ROW]
[ROW][C]0.21[/C][C]64.1085242780387[/C][C]2.24936267762718[/C][/ROW]
[ROW][C]0.22[/C][C]64.5540005687473[/C][C]2.39883247709437[/C][/ROW]
[ROW][C]0.23[/C][C]65.0185347724699[/C][C]2.48704135059163[/C][/ROW]
[ROW][C]0.24[/C][C]65.4908009674035[/C][C]2.50656758989595[/C][/ROW]
[ROW][C]0.25[/C][C]65.9585905695546[/C][C]2.45705961740708[/C][/ROW]
[ROW][C]0.26[/C][C]66.4101351983267[/C][C]2.34471200714269[/C][/ROW]
[ROW][C]0.27[/C][C]66.8352664286995[/C][C]2.18139928664384[/C][/ROW]
[ROW][C]0.28[/C][C]67.2262773577905[/C][C]1.98217410535949[/C][/ROW]
[ROW][C]0.29[/C][C]67.5784143670038[/C][C]1.76402197042587[/C][/ROW]
[ROW][C]0.3[/C][C]67.8899907382842[/C][C]1.54359650870471[/C][/ROW]
[ROW][C]0.31[/C][C]68.1621665828926[/C][C]1.33593882426295[/C][/ROW]
[ROW][C]0.32[/C][C]68.3984753250843[/C][C]1.1533571550285[/C][/ROW]
[ROW][C]0.33[/C][C]68.6041935973502[/C][C]1.00519711276518[/C][/ROW]
[ROW][C]0.34[/C][C]68.7856506239174[/C][C]0.897295463218415[/C][/ROW]
[ROW][C]0.35[/C][C]68.9495594474786[/C][C]0.831480380628188[/C][/ROW]
[ROW][C]0.36[/C][C]69.1024312466412[/C][C]0.80547880469193[/C][/ROW]
[ROW][C]0.37[/C][C]69.250110737779[/C][C]0.812622485111298[/C][/ROW]
[ROW][C]0.38[/C][C]69.397449233827[/C][C]0.844281994007605[/C][/ROW]
[ROW][C]0.39[/C][C]69.548114700528[/C][C]0.891335006183178[/C][/ROW]
[ROW][C]0.4[/C][C]69.7045259728379[/C][C]0.945456304141107[/C][/ROW]
[ROW][C]0.41[/C][C]69.8678909666395[/C][C]0.999617856510294[/C][/ROW]
[ROW][C]0.42[/C][C]70.0383254635294[/C][C]1.04822721824317[/C][/ROW]
[ROW][C]0.43[/C][C]70.2150289017628[/C][C]1.08711168421623[/C][/ROW]
[ROW][C]0.44[/C][C]70.3964956698905[/C][C]1.11308799718912[/C][/ROW]
[ROW][C]0.45[/C][C]70.5807438910788[/C][C]1.12456212007392[/C][/ROW]
[ROW][C]0.46[/C][C]70.7655479249999[/C][C]1.1210606901559[/C][/ROW]
[ROW][C]0.47[/C][C]70.948665171813[/C][C]1.10314309614213[/C][/ROW]
[ROW][C]0.48[/C][C]71.1280516448581[/C][C]1.07266618986095[/C][/ROW]
[ROW][C]0.49[/C][C]71.302063656658[/C][C]1.0321161635743[/C][/ROW]
[ROW][C]0.5[/C][C]71.4696444400816[/C][C]0.98538586856159[/C][/ROW]
[ROW][C]0.51[/C][C]71.6304944104252[/C][C]0.93709583638233[/C][/ROW]
[ROW][C]0.52[/C][C]71.7852221249186[/C][C]0.89289127836625[/C][/ROW]
[ROW][C]0.53[/C][C]71.9354701372121[/C][C]0.859650104059078[/C][/ROW]
[ROW][C]0.54[/C][C]72.0840064344715[/C][C]0.845353694537378[/C][/ROW]
[ROW][C]0.55[/C][C]72.234768720981[/C][C]0.85890142760012[/C][/ROW]
[ROW][C]0.56[/C][C]72.3928463150781[/C][C]0.908748045960436[/C][/ROW]
[ROW][C]0.57[/C][C]72.5643837103404[/C][C]1.00145346447379[/C][/ROW]
[ROW][C]0.58[/C][C]72.7563916810877[/C][C]1.14120839537103[/C][/ROW]
[ROW][C]0.59[/C][C]72.976456737396[/C][C]1.32874353903718[/C][/ROW]
[ROW][C]0.6[/C][C]73.2323479594759[/C][C]1.56190542729976[/C][/ROW]
[ROW][C]0.61[/C][C]73.5315314924736[/C][C]1.83585364780816[/C][/ROW]
[ROW][C]0.62[/C][C]73.8806164153823[/C][C]2.14293096269006[/C][/ROW]
[ROW][C]0.63[/C][C]74.2847698641209[/C][C]2.47235628976251[/C][/ROW]
[ROW][C]0.64[/C][C]74.7471522001228[/C][C]2.81062832062757[/C][/ROW]
[ROW][C]0.65[/C][C]75.2684323114953[/C][C]3.14207373269234[/C][/ROW]
[ROW][C]0.66[/C][C]75.8464463652956[/C][C]3.44976520156392[/C][/ROW]
[ROW][C]0.67[/C][C]76.4760583538278[/C][C]3.71662334448693[/C][/ROW]
[ROW][C]0.68[/C][C]77.1492662454342[/C][C]3.92673112347969[/C][/ROW]
[ROW][C]0.69[/C][C]77.8555734387705[/C][C]4.06746957165478[/C][/ROW]
[ROW][C]0.7[/C][C]78.5826133162242[/C][C]4.12998417441068[/C][/ROW]
[ROW][C]0.71[/C][C]79.316978858237[/C][C]4.11101384626474[/C][/ROW]
[ROW][C]0.72[/C][C]80.0451752872336[/C][C]4.0129039683511[/C][/ROW]
[ROW][C]0.73[/C][C]80.754588459964[/C][C]3.84374977272637[/C][/ROW]
[ROW][C]0.74[/C][C]81.4343518132302[/C][C]3.61643081791721[/C][/ROW]
[ROW][C]0.75[/C][C]82.0760044843334[/C][C]3.34732350120284[/C][/ROW]
[ROW][C]0.76[/C][C]82.6738631504756[/C][C]3.05429844629614[/C][/ROW]
[ROW][C]0.77[/C][C]83.2250755036165[/C][C]2.75479058451279[/C][/ROW]
[ROW][C]0.78[/C][C]83.729374883025[/C][C]2.46411872944782[/C][/ROW]
[ROW][C]0.79[/C][C]84.1886018904115[/C][C]2.19355028881778[/C][/ROW]
[ROW][C]0.8[/C][C]84.606089496174[/C][C]1.95010379354636[/C][/ROW]
[ROW][C]0.81[/C][C]84.9860177090868[/C][C]1.73641273241689[/C][/ROW]
[ROW][C]0.82[/C][C]85.332833619522[/C][C]1.55153295734534[/C][/ROW]
[ROW][C]0.83[/C][C]85.6508097031891[/C][C]1.39228723309162[/C][/ROW]
[ROW][C]0.84[/C][C]85.9437869322681[/C][C]1.2543760876451[/C][/ROW]
[ROW][C]0.85[/C][C]86.2151260372517[/C][C]1.13359251771353[/C][/ROW]
[ROW][C]0.86[/C][C]86.4678715540958[/C][C]1.02633743897047[/C][/ROW]
[ROW][C]0.87[/C][C]86.7051176726363[/C][C]0.930678970595249[/C][/ROW]
[ROW][C]0.88[/C][C]86.9305548111086[/C][C]0.846968962055989[/C][/ROW]
[ROW][C]0.89[/C][C]87.1491820650947[/C][C]0.7783313569093[/C][/ROW]
[ROW][C]0.9[/C][C]87.3682047413864[/C][C]0.730897448257399[/C][/ROW]
[ROW][C]0.91[/C][C]87.598185007388[/C][C]0.712964372926054[/C][/ROW]
[ROW][C]0.92[/C][C]87.8545069230676[/C][C]0.734966205854702[/C][/ROW]
[ROW][C]0.93[/C][C]88.15901340998[/C][C]0.809936857768443[/C][/ROW]
[ROW][C]0.94[/C][C]88.5410747920946[/C][C]0.951604453409127[/C][/ROW]
[ROW][C]0.95[/C][C]89.036110793705[/C][C]1.16373530892668[/C][/ROW]
[ROW][C]0.96[/C][C]89.6774898720477[/C][C]1.42458245241713[/C][/ROW]
[ROW][C]0.97[/C][C]90.475436489903[/C][C]1.68521861959676[/C][/ROW]
[ROW][C]0.98[/C][C]91.3787217665611[/C][C]1.89843463546039[/C][/ROW]
[ROW][C]0.99[/C][C]92.2337086109354[/C][C]2.05432155865177[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163255&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163255&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
0.0158.42175722787661.54193611775532
0.0258.94851836740691.09422250637439
0.0359.42868400886340.703258674148614
0.0459.78705960085990.453602129877356
0.0560.03610949702210.363272250478655
0.0660.22117515857270.400410905379963
0.0760.38437404572070.501633532418019
0.0860.55238471379450.620712611680745
0.0960.7370589085970.730260945191313
0.160.94004010069390.814662261349088
0.1161.15760397261020.869783448915267
0.1261.38465227970130.903145159698737
0.1361.61759597168930.93196340363965
0.1461.85600478698380.978677621436752
0.1562.10300768935131.06382454890584
0.1662.3646071787561.19815560447947
0.1762.6482422558291.37968801639996
0.1862.96102593841591.59585186070721
0.1963.30807366250491.82744091365213
0.263.6912494560032.05255893124859
0.2164.10852427803872.24936267762718
0.2264.55400056874732.39883247709437
0.2365.01853477246992.48704135059163
0.2465.49080096740352.50656758989595
0.2565.95859056955462.45705961740708
0.2666.41013519832672.34471200714269
0.2766.83526642869952.18139928664384
0.2867.22627735779051.98217410535949
0.2967.57841436700381.76402197042587
0.367.88999073828421.54359650870471
0.3168.16216658289261.33593882426295
0.3268.39847532508431.1533571550285
0.3368.60419359735021.00519711276518
0.3468.78565062391740.897295463218415
0.3568.94955944747860.831480380628188
0.3669.10243124664120.80547880469193
0.3769.2501107377790.812622485111298
0.3869.3974492338270.844281994007605
0.3969.5481147005280.891335006183178
0.469.70452597283790.945456304141107
0.4169.86789096663950.999617856510294
0.4270.03832546352941.04822721824317
0.4370.21502890176281.08711168421623
0.4470.39649566989051.11308799718912
0.4570.58074389107881.12456212007392
0.4670.76554792499991.1210606901559
0.4770.9486651718131.10314309614213
0.4871.12805164485811.07266618986095
0.4971.3020636566581.0321161635743
0.571.46964444008160.98538586856159
0.5171.63049441042520.93709583638233
0.5271.78522212491860.89289127836625
0.5371.93547013721210.859650104059078
0.5472.08400643447150.845353694537378
0.5572.2347687209810.85890142760012
0.5672.39284631507810.908748045960436
0.5772.56438371034041.00145346447379
0.5872.75639168108771.14120839537103
0.5972.9764567373961.32874353903718
0.673.23234795947591.56190542729976
0.6173.53153149247361.83585364780816
0.6273.88061641538232.14293096269006
0.6374.28476986412092.47235628976251
0.6474.74715220012282.81062832062757
0.6575.26843231149533.14207373269234
0.6675.84644636529563.44976520156392
0.6776.47605835382783.71662334448693
0.6877.14926624543423.92673112347969
0.6977.85557343877054.06746957165478
0.778.58261331622424.12998417441068
0.7179.3169788582374.11101384626474
0.7280.04517528723364.0129039683511
0.7380.7545884599643.84374977272637
0.7481.43435181323023.61643081791721
0.7582.07600448433343.34732350120284
0.7682.67386315047563.05429844629614
0.7783.22507550361652.75479058451279
0.7883.7293748830252.46411872944782
0.7984.18860189041152.19355028881778
0.884.6060894961741.95010379354636
0.8184.98601770908681.73641273241689
0.8285.3328336195221.55153295734534
0.8385.65080970318911.39228723309162
0.8485.94378693226811.2543760876451
0.8586.21512603725171.13359251771353
0.8686.46787155409581.02633743897047
0.8786.70511767263630.930678970595249
0.8886.93055481110860.846968962055989
0.8987.14918206509470.7783313569093
0.987.36820474138640.730897448257399
0.9187.5981850073880.712964372926054
0.9287.85450692306760.734966205854702
0.9388.159013409980.809936857768443
0.9488.54107479209460.951604453409127
0.9589.0361107937051.16373530892668
0.9689.67748987204771.42458245241713
0.9790.4754364899031.68521861959676
0.9891.37872176656111.89843463546039
0.9992.23370861093542.05432155865177


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')