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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, 07 Mar 2012 13:26:44 -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/Mar/07/t1331144837k7euegxb2j7qedj.htm/, Retrieved Mon, 29 Apr 2024 05:57:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163685, Retrieved Mon, 29 Apr 2024 05:57:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact80

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] [Opgave4 Oefening2] [2012-03-07 18:26:44] [8c2ac70842cc3f093ee1ba38f92d16ef] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13.812
14.544
14.931
14.886
16.005
17.064
15.168
16.050
15.839
15.137
14.954
15.648
15.305
15.579
16.348
15.928
16.171
15.937
15.713
15.594
15.683
16.438
17.032
17.696
17.745
19.394
20.148
20.108
18.584
18.441
18.391
19.178
18.079
18.483
19.644
19.195
19.650
20.830
23.595
22.937
21.814
21.928
21.777
21.383
21.467
22.052
22.680
24.320
24.977
25.204
25.739
26.434
27.525
30.695
32.436
30.160
30.236
31.293
31.077
32.226
33.865
32.810
32.242
32.700
32.819
33.947
34.148
35.261
39.506
41.591
39.148
41.216
40.225
41.126
42.362

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163685&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163685&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163685&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 time1 seconds
R Server'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0114.03446241077950.602070828607427
0.0214.33502825192350.444034479697331
0.0314.59419023752050.313157587941992
0.0414.77915162944320.230579414574448
0.0514.90731536584540.196077386894985
0.0615.0045037365150.196617163552514
0.0715.08883287803240.213022574122598
0.0815.16943741577240.231152605409529
0.0915.24932060313880.243680613311642
0.115.32823600749310.247883921108047
0.1115.40473052586960.244184717592289
0.1215.47738331558260.235106307380741
0.1315.54543177679140.224320522249518
0.1415.60896808688550.215539899133397
0.1515.66886589209670.211801321792738
0.1615.72657676985380.215002591488403
0.1715.7839072448890.226225775824693
0.1815.84284276408370.246062402166479
0.1915.90543509374320.275041599193077
0.215.97373132359120.31353007807008
0.2116.04970733838410.361438045474738
0.2216.1351759854580.417984162911753
0.2316.23166110928060.481448415287657
0.2416.34025142569920.549222400553026
0.2516.46146377824280.617988116306627
0.2616.59514949367830.684125211085092
0.2716.74047081883670.744087970678039
0.2816.89596028395270.79490951577396
0.2917.05965898171220.834443060726711
0.317.22931457301580.861792826596271
0.3117.40260954655720.877176490154639
0.3217.57738650930510.882058409125224
0.3317.75184010798620.878770986094748
0.3417.92465325911810.870211855384713
0.3518.09506645471410.859530302182864
0.3618.26288040418630.849658720431238
0.3718.42840179254950.843041929531704
0.3818.59234785942770.841555655058878
0.3918.75572730221260.846370532630054
0.418.91971328790160.857806893921495
0.4119.08552059550180.87577852951309
0.4219.25429491428410.899488319992826
0.4319.42701960495010.927791312286835
0.4419.60444447688670.959159990648643
0.4519.78704197132190.99185360357279
0.4619.97499729636571.02406428398515
0.4720.16823888694721.05426766875838
0.4820.3665127355591.08136279581651
0.4920.56949828579871.10511200989034
0.520.77695559132891.12625569077232
0.5120.98888532693751.1466500616208
0.5221.20567753395561.16906456855485
0.5321.42822390311971.19703078767122
0.5421.65797299602881.23410890138828
0.5521.89691744587251.28350648300457
0.5622.1475145338611.3475121102309
0.5722.41255317497771.42721818146667
0.5822.69498775590811.5224089426771
0.5922.99776006764821.63186966139547
0.623.32362449996491.7536718112523
0.6123.67498096710221.88521239619045
0.6224.05370905115742.02345479809935
0.6324.46099071973762.16467141890187
0.6424.89711178672362.30418116720303
0.6525.36124522759352.43609892702725
0.6625.85123969080172.55331340190904
0.6726.36345741214572.64776811021179
0.6826.89271860358122.71126438321625
0.6927.43240669184722.73641326546735
0.727.97476733334562.71796150698738
0.7128.51139725923352.6538427179097
0.7229.03387639702442.54574963124365
0.7329.53446156962532.39933388763159
0.7430.00674437394172.2233643037581
0.7530.44618562476132.02898905791993
0.7630.85047151510821.82823764150965
0.7731.21968227984221.63287889861172
0.7831.55630901387811.45374703102766
0.7931.86518623073741.30038679577657
0.832.15341891453181.18138534639155
0.8132.43036841969221.10485144870837
0.8232.70771580654821.07890674682829
0.8332.99953597441971.11131704927559
0.8433.32218958288441.20859254145783
0.8533.69369812483241.37353182684571
0.8634.13218698869331.60163628462371
0.8734.65308618851371.87612802198774
0.8835.26518171098012.16424243301982
0.8935.9662965929862.41773675430603
0.936.74009564801562.58107334439492
0.9137.55578524444612.60605733552684
0.9238.37190770660212.46913928928641
0.9339.14406456078022.18273500363828
0.9439.83495906807771.79390814555851
0.9540.42449873355051.3709044795735
0.9640.91755911625070.986481142678125
0.9741.34473670604760.710470766765562
0.9841.74447504454040.604945579857616
0.9942.11409600258990.663340463402177

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 14.0344624107795 & 0.602070828607427 \tabularnewline
0.02 & 14.3350282519235 & 0.444034479697331 \tabularnewline
0.03 & 14.5941902375205 & 0.313157587941992 \tabularnewline
0.04 & 14.7791516294432 & 0.230579414574448 \tabularnewline
0.05 & 14.9073153658454 & 0.196077386894985 \tabularnewline
0.06 & 15.004503736515 & 0.196617163552514 \tabularnewline
0.07 & 15.0888328780324 & 0.213022574122598 \tabularnewline
0.08 & 15.1694374157724 & 0.231152605409529 \tabularnewline
0.09 & 15.2493206031388 & 0.243680613311642 \tabularnewline
0.1 & 15.3282360074931 & 0.247883921108047 \tabularnewline
0.11 & 15.4047305258696 & 0.244184717592289 \tabularnewline
0.12 & 15.4773833155826 & 0.235106307380741 \tabularnewline
0.13 & 15.5454317767914 & 0.224320522249518 \tabularnewline
0.14 & 15.6089680868855 & 0.215539899133397 \tabularnewline
0.15 & 15.6688658920967 & 0.211801321792738 \tabularnewline
0.16 & 15.7265767698538 & 0.215002591488403 \tabularnewline
0.17 & 15.783907244889 & 0.226225775824693 \tabularnewline
0.18 & 15.8428427640837 & 0.246062402166479 \tabularnewline
0.19 & 15.9054350937432 & 0.275041599193077 \tabularnewline
0.2 & 15.9737313235912 & 0.31353007807008 \tabularnewline
0.21 & 16.0497073383841 & 0.361438045474738 \tabularnewline
0.22 & 16.135175985458 & 0.417984162911753 \tabularnewline
0.23 & 16.2316611092806 & 0.481448415287657 \tabularnewline
0.24 & 16.3402514256992 & 0.549222400553026 \tabularnewline
0.25 & 16.4614637782428 & 0.617988116306627 \tabularnewline
0.26 & 16.5951494936783 & 0.684125211085092 \tabularnewline
0.27 & 16.7404708188367 & 0.744087970678039 \tabularnewline
0.28 & 16.8959602839527 & 0.79490951577396 \tabularnewline
0.29 & 17.0596589817122 & 0.834443060726711 \tabularnewline
0.3 & 17.2293145730158 & 0.861792826596271 \tabularnewline
0.31 & 17.4026095465572 & 0.877176490154639 \tabularnewline
0.32 & 17.5773865093051 & 0.882058409125224 \tabularnewline
0.33 & 17.7518401079862 & 0.878770986094748 \tabularnewline
0.34 & 17.9246532591181 & 0.870211855384713 \tabularnewline
0.35 & 18.0950664547141 & 0.859530302182864 \tabularnewline
0.36 & 18.2628804041863 & 0.849658720431238 \tabularnewline
0.37 & 18.4284017925495 & 0.843041929531704 \tabularnewline
0.38 & 18.5923478594277 & 0.841555655058878 \tabularnewline
0.39 & 18.7557273022126 & 0.846370532630054 \tabularnewline
0.4 & 18.9197132879016 & 0.857806893921495 \tabularnewline
0.41 & 19.0855205955018 & 0.87577852951309 \tabularnewline
0.42 & 19.2542949142841 & 0.899488319992826 \tabularnewline
0.43 & 19.4270196049501 & 0.927791312286835 \tabularnewline
0.44 & 19.6044444768867 & 0.959159990648643 \tabularnewline
0.45 & 19.7870419713219 & 0.99185360357279 \tabularnewline
0.46 & 19.9749972963657 & 1.02406428398515 \tabularnewline
0.47 & 20.1682388869472 & 1.05426766875838 \tabularnewline
0.48 & 20.366512735559 & 1.08136279581651 \tabularnewline
0.49 & 20.5694982857987 & 1.10511200989034 \tabularnewline
0.5 & 20.7769555913289 & 1.12625569077232 \tabularnewline
0.51 & 20.9888853269375 & 1.1466500616208 \tabularnewline
0.52 & 21.2056775339556 & 1.16906456855485 \tabularnewline
0.53 & 21.4282239031197 & 1.19703078767122 \tabularnewline
0.54 & 21.6579729960288 & 1.23410890138828 \tabularnewline
0.55 & 21.8969174458725 & 1.28350648300457 \tabularnewline
0.56 & 22.147514533861 & 1.3475121102309 \tabularnewline
0.57 & 22.4125531749777 & 1.42721818146667 \tabularnewline
0.58 & 22.6949877559081 & 1.5224089426771 \tabularnewline
0.59 & 22.9977600676482 & 1.63186966139547 \tabularnewline
0.6 & 23.3236244999649 & 1.7536718112523 \tabularnewline
0.61 & 23.6749809671022 & 1.88521239619045 \tabularnewline
0.62 & 24.0537090511574 & 2.02345479809935 \tabularnewline
0.63 & 24.4609907197376 & 2.16467141890187 \tabularnewline
0.64 & 24.8971117867236 & 2.30418116720303 \tabularnewline
0.65 & 25.3612452275935 & 2.43609892702725 \tabularnewline
0.66 & 25.8512396908017 & 2.55331340190904 \tabularnewline
0.67 & 26.3634574121457 & 2.64776811021179 \tabularnewline
0.68 & 26.8927186035812 & 2.71126438321625 \tabularnewline
0.69 & 27.4324066918472 & 2.73641326546735 \tabularnewline
0.7 & 27.9747673333456 & 2.71796150698738 \tabularnewline
0.71 & 28.5113972592335 & 2.6538427179097 \tabularnewline
0.72 & 29.0338763970244 & 2.54574963124365 \tabularnewline
0.73 & 29.5344615696253 & 2.39933388763159 \tabularnewline
0.74 & 30.0067443739417 & 2.2233643037581 \tabularnewline
0.75 & 30.4461856247613 & 2.02898905791993 \tabularnewline
0.76 & 30.8504715151082 & 1.82823764150965 \tabularnewline
0.77 & 31.2196822798422 & 1.63287889861172 \tabularnewline
0.78 & 31.5563090138781 & 1.45374703102766 \tabularnewline
0.79 & 31.8651862307374 & 1.30038679577657 \tabularnewline
0.8 & 32.1534189145318 & 1.18138534639155 \tabularnewline
0.81 & 32.4303684196922 & 1.10485144870837 \tabularnewline
0.82 & 32.7077158065482 & 1.07890674682829 \tabularnewline
0.83 & 32.9995359744197 & 1.11131704927559 \tabularnewline
0.84 & 33.3221895828844 & 1.20859254145783 \tabularnewline
0.85 & 33.6936981248324 & 1.37353182684571 \tabularnewline
0.86 & 34.1321869886933 & 1.60163628462371 \tabularnewline
0.87 & 34.6530861885137 & 1.87612802198774 \tabularnewline
0.88 & 35.2651817109801 & 2.16424243301982 \tabularnewline
0.89 & 35.966296592986 & 2.41773675430603 \tabularnewline
0.9 & 36.7400956480156 & 2.58107334439492 \tabularnewline
0.91 & 37.5557852444461 & 2.60605733552684 \tabularnewline
0.92 & 38.3719077066021 & 2.46913928928641 \tabularnewline
0.93 & 39.1440645607802 & 2.18273500363828 \tabularnewline
0.94 & 39.8349590680777 & 1.79390814555851 \tabularnewline
0.95 & 40.4244987335505 & 1.3709044795735 \tabularnewline
0.96 & 40.9175591162507 & 0.986481142678125 \tabularnewline
0.97 & 41.3447367060476 & 0.710470766765562 \tabularnewline
0.98 & 41.7444750445404 & 0.604945579857616 \tabularnewline
0.99 & 42.1140960025899 & 0.663340463402177 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163685&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]14.0344624107795[/C][C]0.602070828607427[/C][/ROW]
[ROW][C]0.02[/C][C]14.3350282519235[/C][C]0.444034479697331[/C][/ROW]
[ROW][C]0.03[/C][C]14.5941902375205[/C][C]0.313157587941992[/C][/ROW]
[ROW][C]0.04[/C][C]14.7791516294432[/C][C]0.230579414574448[/C][/ROW]
[ROW][C]0.05[/C][C]14.9073153658454[/C][C]0.196077386894985[/C][/ROW]
[ROW][C]0.06[/C][C]15.004503736515[/C][C]0.196617163552514[/C][/ROW]
[ROW][C]0.07[/C][C]15.0888328780324[/C][C]0.213022574122598[/C][/ROW]
[ROW][C]0.08[/C][C]15.1694374157724[/C][C]0.231152605409529[/C][/ROW]
[ROW][C]0.09[/C][C]15.2493206031388[/C][C]0.243680613311642[/C][/ROW]
[ROW][C]0.1[/C][C]15.3282360074931[/C][C]0.247883921108047[/C][/ROW]
[ROW][C]0.11[/C][C]15.4047305258696[/C][C]0.244184717592289[/C][/ROW]
[ROW][C]0.12[/C][C]15.4773833155826[/C][C]0.235106307380741[/C][/ROW]
[ROW][C]0.13[/C][C]15.5454317767914[/C][C]0.224320522249518[/C][/ROW]
[ROW][C]0.14[/C][C]15.6089680868855[/C][C]0.215539899133397[/C][/ROW]
[ROW][C]0.15[/C][C]15.6688658920967[/C][C]0.211801321792738[/C][/ROW]
[ROW][C]0.16[/C][C]15.7265767698538[/C][C]0.215002591488403[/C][/ROW]
[ROW][C]0.17[/C][C]15.783907244889[/C][C]0.226225775824693[/C][/ROW]
[ROW][C]0.18[/C][C]15.8428427640837[/C][C]0.246062402166479[/C][/ROW]
[ROW][C]0.19[/C][C]15.9054350937432[/C][C]0.275041599193077[/C][/ROW]
[ROW][C]0.2[/C][C]15.9737313235912[/C][C]0.31353007807008[/C][/ROW]
[ROW][C]0.21[/C][C]16.0497073383841[/C][C]0.361438045474738[/C][/ROW]
[ROW][C]0.22[/C][C]16.135175985458[/C][C]0.417984162911753[/C][/ROW]
[ROW][C]0.23[/C][C]16.2316611092806[/C][C]0.481448415287657[/C][/ROW]
[ROW][C]0.24[/C][C]16.3402514256992[/C][C]0.549222400553026[/C][/ROW]
[ROW][C]0.25[/C][C]16.4614637782428[/C][C]0.617988116306627[/C][/ROW]
[ROW][C]0.26[/C][C]16.5951494936783[/C][C]0.684125211085092[/C][/ROW]
[ROW][C]0.27[/C][C]16.7404708188367[/C][C]0.744087970678039[/C][/ROW]
[ROW][C]0.28[/C][C]16.8959602839527[/C][C]0.79490951577396[/C][/ROW]
[ROW][C]0.29[/C][C]17.0596589817122[/C][C]0.834443060726711[/C][/ROW]
[ROW][C]0.3[/C][C]17.2293145730158[/C][C]0.861792826596271[/C][/ROW]
[ROW][C]0.31[/C][C]17.4026095465572[/C][C]0.877176490154639[/C][/ROW]
[ROW][C]0.32[/C][C]17.5773865093051[/C][C]0.882058409125224[/C][/ROW]
[ROW][C]0.33[/C][C]17.7518401079862[/C][C]0.878770986094748[/C][/ROW]
[ROW][C]0.34[/C][C]17.9246532591181[/C][C]0.870211855384713[/C][/ROW]
[ROW][C]0.35[/C][C]18.0950664547141[/C][C]0.859530302182864[/C][/ROW]
[ROW][C]0.36[/C][C]18.2628804041863[/C][C]0.849658720431238[/C][/ROW]
[ROW][C]0.37[/C][C]18.4284017925495[/C][C]0.843041929531704[/C][/ROW]
[ROW][C]0.38[/C][C]18.5923478594277[/C][C]0.841555655058878[/C][/ROW]
[ROW][C]0.39[/C][C]18.7557273022126[/C][C]0.846370532630054[/C][/ROW]
[ROW][C]0.4[/C][C]18.9197132879016[/C][C]0.857806893921495[/C][/ROW]
[ROW][C]0.41[/C][C]19.0855205955018[/C][C]0.87577852951309[/C][/ROW]
[ROW][C]0.42[/C][C]19.2542949142841[/C][C]0.899488319992826[/C][/ROW]
[ROW][C]0.43[/C][C]19.4270196049501[/C][C]0.927791312286835[/C][/ROW]
[ROW][C]0.44[/C][C]19.6044444768867[/C][C]0.959159990648643[/C][/ROW]
[ROW][C]0.45[/C][C]19.7870419713219[/C][C]0.99185360357279[/C][/ROW]
[ROW][C]0.46[/C][C]19.9749972963657[/C][C]1.02406428398515[/C][/ROW]
[ROW][C]0.47[/C][C]20.1682388869472[/C][C]1.05426766875838[/C][/ROW]
[ROW][C]0.48[/C][C]20.366512735559[/C][C]1.08136279581651[/C][/ROW]
[ROW][C]0.49[/C][C]20.5694982857987[/C][C]1.10511200989034[/C][/ROW]
[ROW][C]0.5[/C][C]20.7769555913289[/C][C]1.12625569077232[/C][/ROW]
[ROW][C]0.51[/C][C]20.9888853269375[/C][C]1.1466500616208[/C][/ROW]
[ROW][C]0.52[/C][C]21.2056775339556[/C][C]1.16906456855485[/C][/ROW]
[ROW][C]0.53[/C][C]21.4282239031197[/C][C]1.19703078767122[/C][/ROW]
[ROW][C]0.54[/C][C]21.6579729960288[/C][C]1.23410890138828[/C][/ROW]
[ROW][C]0.55[/C][C]21.8969174458725[/C][C]1.28350648300457[/C][/ROW]
[ROW][C]0.56[/C][C]22.147514533861[/C][C]1.3475121102309[/C][/ROW]
[ROW][C]0.57[/C][C]22.4125531749777[/C][C]1.42721818146667[/C][/ROW]
[ROW][C]0.58[/C][C]22.6949877559081[/C][C]1.5224089426771[/C][/ROW]
[ROW][C]0.59[/C][C]22.9977600676482[/C][C]1.63186966139547[/C][/ROW]
[ROW][C]0.6[/C][C]23.3236244999649[/C][C]1.7536718112523[/C][/ROW]
[ROW][C]0.61[/C][C]23.6749809671022[/C][C]1.88521239619045[/C][/ROW]
[ROW][C]0.62[/C][C]24.0537090511574[/C][C]2.02345479809935[/C][/ROW]
[ROW][C]0.63[/C][C]24.4609907197376[/C][C]2.16467141890187[/C][/ROW]
[ROW][C]0.64[/C][C]24.8971117867236[/C][C]2.30418116720303[/C][/ROW]
[ROW][C]0.65[/C][C]25.3612452275935[/C][C]2.43609892702725[/C][/ROW]
[ROW][C]0.66[/C][C]25.8512396908017[/C][C]2.55331340190904[/C][/ROW]
[ROW][C]0.67[/C][C]26.3634574121457[/C][C]2.64776811021179[/C][/ROW]
[ROW][C]0.68[/C][C]26.8927186035812[/C][C]2.71126438321625[/C][/ROW]
[ROW][C]0.69[/C][C]27.4324066918472[/C][C]2.73641326546735[/C][/ROW]
[ROW][C]0.7[/C][C]27.9747673333456[/C][C]2.71796150698738[/C][/ROW]
[ROW][C]0.71[/C][C]28.5113972592335[/C][C]2.6538427179097[/C][/ROW]
[ROW][C]0.72[/C][C]29.0338763970244[/C][C]2.54574963124365[/C][/ROW]
[ROW][C]0.73[/C][C]29.5344615696253[/C][C]2.39933388763159[/C][/ROW]
[ROW][C]0.74[/C][C]30.0067443739417[/C][C]2.2233643037581[/C][/ROW]
[ROW][C]0.75[/C][C]30.4461856247613[/C][C]2.02898905791993[/C][/ROW]
[ROW][C]0.76[/C][C]30.8504715151082[/C][C]1.82823764150965[/C][/ROW]
[ROW][C]0.77[/C][C]31.2196822798422[/C][C]1.63287889861172[/C][/ROW]
[ROW][C]0.78[/C][C]31.5563090138781[/C][C]1.45374703102766[/C][/ROW]
[ROW][C]0.79[/C][C]31.8651862307374[/C][C]1.30038679577657[/C][/ROW]
[ROW][C]0.8[/C][C]32.1534189145318[/C][C]1.18138534639155[/C][/ROW]
[ROW][C]0.81[/C][C]32.4303684196922[/C][C]1.10485144870837[/C][/ROW]
[ROW][C]0.82[/C][C]32.7077158065482[/C][C]1.07890674682829[/C][/ROW]
[ROW][C]0.83[/C][C]32.9995359744197[/C][C]1.11131704927559[/C][/ROW]
[ROW][C]0.84[/C][C]33.3221895828844[/C][C]1.20859254145783[/C][/ROW]
[ROW][C]0.85[/C][C]33.6936981248324[/C][C]1.37353182684571[/C][/ROW]
[ROW][C]0.86[/C][C]34.1321869886933[/C][C]1.60163628462371[/C][/ROW]
[ROW][C]0.87[/C][C]34.6530861885137[/C][C]1.87612802198774[/C][/ROW]
[ROW][C]0.88[/C][C]35.2651817109801[/C][C]2.16424243301982[/C][/ROW]
[ROW][C]0.89[/C][C]35.966296592986[/C][C]2.41773675430603[/C][/ROW]
[ROW][C]0.9[/C][C]36.7400956480156[/C][C]2.58107334439492[/C][/ROW]
[ROW][C]0.91[/C][C]37.5557852444461[/C][C]2.60605733552684[/C][/ROW]
[ROW][C]0.92[/C][C]38.3719077066021[/C][C]2.46913928928641[/C][/ROW]
[ROW][C]0.93[/C][C]39.1440645607802[/C][C]2.18273500363828[/C][/ROW]
[ROW][C]0.94[/C][C]39.8349590680777[/C][C]1.79390814555851[/C][/ROW]
[ROW][C]0.95[/C][C]40.4244987335505[/C][C]1.3709044795735[/C][/ROW]
[ROW][C]0.96[/C][C]40.9175591162507[/C][C]0.986481142678125[/C][/ROW]
[ROW][C]0.97[/C][C]41.3447367060476[/C][C]0.710470766765562[/C][/ROW]
[ROW][C]0.98[/C][C]41.7444750445404[/C][C]0.604945579857616[/C][/ROW]
[ROW][C]0.99[/C][C]42.1140960025899[/C][C]0.663340463402177[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163685&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163685&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
0.0114.03446241077950.602070828607427
0.0214.33502825192350.444034479697331
0.0314.59419023752050.313157587941992
0.0414.77915162944320.230579414574448
0.0514.90731536584540.196077386894985
0.0615.0045037365150.196617163552514
0.0715.08883287803240.213022574122598
0.0815.16943741577240.231152605409529
0.0915.24932060313880.243680613311642
0.115.32823600749310.247883921108047
0.1115.40473052586960.244184717592289
0.1215.47738331558260.235106307380741
0.1315.54543177679140.224320522249518
0.1415.60896808688550.215539899133397
0.1515.66886589209670.211801321792738
0.1615.72657676985380.215002591488403
0.1715.7839072448890.226225775824693
0.1815.84284276408370.246062402166479
0.1915.90543509374320.275041599193077
0.215.97373132359120.31353007807008
0.2116.04970733838410.361438045474738
0.2216.1351759854580.417984162911753
0.2316.23166110928060.481448415287657
0.2416.34025142569920.549222400553026
0.2516.46146377824280.617988116306627
0.2616.59514949367830.684125211085092
0.2716.74047081883670.744087970678039
0.2816.89596028395270.79490951577396
0.2917.05965898171220.834443060726711
0.317.22931457301580.861792826596271
0.3117.40260954655720.877176490154639
0.3217.57738650930510.882058409125224
0.3317.75184010798620.878770986094748
0.3417.92465325911810.870211855384713
0.3518.09506645471410.859530302182864
0.3618.26288040418630.849658720431238
0.3718.42840179254950.843041929531704
0.3818.59234785942770.841555655058878
0.3918.75572730221260.846370532630054
0.418.91971328790160.857806893921495
0.4119.08552059550180.87577852951309
0.4219.25429491428410.899488319992826
0.4319.42701960495010.927791312286835
0.4419.60444447688670.959159990648643
0.4519.78704197132190.99185360357279
0.4619.97499729636571.02406428398515
0.4720.16823888694721.05426766875838
0.4820.3665127355591.08136279581651
0.4920.56949828579871.10511200989034
0.520.77695559132891.12625569077232
0.5120.98888532693751.1466500616208
0.5221.20567753395561.16906456855485
0.5321.42822390311971.19703078767122
0.5421.65797299602881.23410890138828
0.5521.89691744587251.28350648300457
0.5622.1475145338611.3475121102309
0.5722.41255317497771.42721818146667
0.5822.69498775590811.5224089426771
0.5922.99776006764821.63186966139547
0.623.32362449996491.7536718112523
0.6123.67498096710221.88521239619045
0.6224.05370905115742.02345479809935
0.6324.46099071973762.16467141890187
0.6424.89711178672362.30418116720303
0.6525.36124522759352.43609892702725
0.6625.85123969080172.55331340190904
0.6726.36345741214572.64776811021179
0.6826.89271860358122.71126438321625
0.6927.43240669184722.73641326546735
0.727.97476733334562.71796150698738
0.7128.51139725923352.6538427179097
0.7229.03387639702442.54574963124365
0.7329.53446156962532.39933388763159
0.7430.00674437394172.2233643037581
0.7530.44618562476132.02898905791993
0.7630.85047151510821.82823764150965
0.7731.21968227984221.63287889861172
0.7831.55630901387811.45374703102766
0.7931.86518623073741.30038679577657
0.832.15341891453181.18138534639155
0.8132.43036841969221.10485144870837
0.8232.70771580654821.07890674682829
0.8332.99953597441971.11131704927559
0.8433.32218958288441.20859254145783
0.8533.69369812483241.37353182684571
0.8634.13218698869331.60163628462371
0.8734.65308618851371.87612802198774
0.8835.26518171098012.16424243301982
0.8935.9662965929862.41773675430603
0.936.74009564801562.58107334439492
0.9137.55578524444612.60605733552684
0.9238.37190770660212.46913928928641
0.9339.14406456078022.18273500363828
0.9439.83495906807771.79390814555851
0.9540.42449873355051.3709044795735
0.9640.91755911625070.986481142678125
0.9741.34473670604760.710470766765562
0.9841.74447504454040.604945579857616
0.9942.11409600258990.663340463402177


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')