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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 computationSun, 09 Oct 2011 15:47:07 -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/09/t1318189701ql2xl1bx4g3bo0c.htm/, Retrieved Sun, 19 May 2024 02:39:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=127489, Retrieved Sun, 19 May 2024 02:39:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact91

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 Deci...] [2011-10-09 19:29:43] [124dcf4157c7dabb7940e3f8da09df43]
- R     [Harrell-Davis Quantiles] [Harrel-Davis Deci...] [2011-10-09 19:32:40] [124dcf4157c7dabb7940e3f8da09df43]
- R  D      [Harrell-Davis Quantiles] [Harrel-Davis Perc...] [2011-10-09 19:47:07] [18e7d68ff235439d3990cca8ff3322f3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
43
30
42
23
19
19
36
20
27
24
23
26
31
51
39
32
30
46
31
31
40
29
43
17
53
47
49
44
48
51
47
44
33
47
41
36
46
24
17
22
30
24
18
24
24
28
19
22
26
14
16
21
15
23
29
17
24
18
22
8
26
22
34
25
20
35
38
24
14
25
31
17
32
27
30
19
36
27
28
38
26
25
30
27

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=127489&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=127489&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127489&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
0.019.854283817716934.26262344031363
0.0212.07792561058952.45646653628305
0.0313.69824394758221.50455066053292
0.0414.72428546883811.25589504023078
0.0515.42912983175241.18086921973523
0.0615.97805654285611.07423578614774
0.0716.4304265166660.948635352312839
0.0816.81057528383440.858376472334455
0.0917.14040292562680.831821836242034
0.117.44203371033020.857998802395345
0.1117.73283021222090.90827149836229
0.1218.02294322469280.960723842742956
0.1318.31657236320641.00793436823293
0.1418.61486638060151.05348997458995
0.1518.91837024106191.10446721537561
0.1619.22804536770861.16447442121453
0.1719.54498174931041.23045143732259
0.1819.86950107347931.29387108185917
0.1920.20038847805791.34450912433619
0.220.53469022029231.37412308382538
0.2120.86812846286091.37886280640042
0.2221.1959001516361.35952974453566
0.2321.51352425995041.32063086368906
0.2421.81746313326771.26832693655441
0.2522.10539501786741.20867296662253
0.2622.3761709066571.14617834368722
0.2722.62958827008531.08364819642936
0.2822.86613499327451.02276184930666
0.2923.08681268231570.964843537281116
0.323.2930737340530.911882518257193
0.3123.4868377921060.866787703344438
0.3223.6705155108470.833096809705876
0.3323.84696854551220.814118183433018
0.3424.01936629382270.811946760536935
0.3524.19094492342310.82654392328236
0.3624.36471421092050.85557177608312
0.3724.54317939837890.895041836247815
0.3824.72814366692660.940161091063064
0.3924.92063514840120.986509783897097
0.425.12096944060041.030662497726
0.4125.32892502225111.07070623235092
0.4225.54398385903511.10630186177798
0.4325.76557814108491.13835850748384
0.4425.99328740197931.16867677946677
0.4526.22694554801261.19928985257419
0.4626.46663981598591.23176124884477
0.4726.71260812153441.26663313397673
0.4826.96506301368561.30321954341787
0.4927.22398599777071.33942990279602
0.527.48894303979181.3721804881608
0.5127.75896955968191.3979435125021
0.5228.03256143074471.41339943982629
0.5328.30778922426071.41627963484295
0.5428.5825295302671.40583533718255
0.5528.85478417163611.3833763326955
0.5629.12304025835971.35229132381428
0.5729.38661500002941.31789302645383
0.5829.64593051712081.28688840656664
0.5929.90267443656551.26669094553873
0.630.15981859212481.26449190157334
0.6130.42148671617931.28633961557031
0.6230.69267952781291.33606487551282
0.6330.97888091958271.41476770957096
0.6431.28558259735851.52055248457306
0.6531.61777749852291.64860504039036
0.6631.97948408310531.79178650598027
0.6732.37337090037341.94161385772178
0.6832.80054807290652.08899959713405
0.6933.26057389465482.22576910660684
0.733.75168849942032.34567340087473
0.7134.27123696134532.44554847635946
0.7234.81619297504222.52520412876205
0.7335.38365788216462.58731993456646
0.7435.97120398452562.63601075819064
0.7536.57696441482212.67529284262811
0.7637.1994410584172.70740696705086
0.7737.83709087023222.73163874189875
0.7838.48783319104182.74443369483514
0.7939.14866655628212.74039027796659
0.839.81556813516042.71404028479709
0.8140.48376196940872.66217784169407
0.8241.1482973618192.58519392702024
0.8341.80472063555972.48764228309334
0.8442.44952471462132.37680871453175
0.8543.08010254015552.25952467564181
0.8643.69416135324592.13880544964371
0.8744.28894171250192.01190178208922
0.8844.86097571953541.87239341666868
0.8945.40725682363241.71661670724497
0.945.92830476961471.55205455492573
0.9146.43255193708921.40383321765179
0.9246.93991504266471.31331373241307
0.9347.4810149877031.31937446405094
0.9448.08876977642521.41964131166604
0.9548.78361706139921.54389617830529
0.9649.56396659597381.57795536397997
0.9750.41972040420311.45541168287386
0.9851.35395929119471.3304955637263
0.9952.31402777808271.5604684780954

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.85428381771693 & 4.26262344031363 \tabularnewline
0.02 & 12.0779256105895 & 2.45646653628305 \tabularnewline
0.03 & 13.6982439475822 & 1.50455066053292 \tabularnewline
0.04 & 14.7242854688381 & 1.25589504023078 \tabularnewline
0.05 & 15.4291298317524 & 1.18086921973523 \tabularnewline
0.06 & 15.9780565428561 & 1.07423578614774 \tabularnewline
0.07 & 16.430426516666 & 0.948635352312839 \tabularnewline
0.08 & 16.8105752838344 & 0.858376472334455 \tabularnewline
0.09 & 17.1404029256268 & 0.831821836242034 \tabularnewline
0.1 & 17.4420337103302 & 0.857998802395345 \tabularnewline
0.11 & 17.7328302122209 & 0.90827149836229 \tabularnewline
0.12 & 18.0229432246928 & 0.960723842742956 \tabularnewline
0.13 & 18.3165723632064 & 1.00793436823293 \tabularnewline
0.14 & 18.6148663806015 & 1.05348997458995 \tabularnewline
0.15 & 18.9183702410619 & 1.10446721537561 \tabularnewline
0.16 & 19.2280453677086 & 1.16447442121453 \tabularnewline
0.17 & 19.5449817493104 & 1.23045143732259 \tabularnewline
0.18 & 19.8695010734793 & 1.29387108185917 \tabularnewline
0.19 & 20.2003884780579 & 1.34450912433619 \tabularnewline
0.2 & 20.5346902202923 & 1.37412308382538 \tabularnewline
0.21 & 20.8681284628609 & 1.37886280640042 \tabularnewline
0.22 & 21.195900151636 & 1.35952974453566 \tabularnewline
0.23 & 21.5135242599504 & 1.32063086368906 \tabularnewline
0.24 & 21.8174631332677 & 1.26832693655441 \tabularnewline
0.25 & 22.1053950178674 & 1.20867296662253 \tabularnewline
0.26 & 22.376170906657 & 1.14617834368722 \tabularnewline
0.27 & 22.6295882700853 & 1.08364819642936 \tabularnewline
0.28 & 22.8661349932745 & 1.02276184930666 \tabularnewline
0.29 & 23.0868126823157 & 0.964843537281116 \tabularnewline
0.3 & 23.293073734053 & 0.911882518257193 \tabularnewline
0.31 & 23.486837792106 & 0.866787703344438 \tabularnewline
0.32 & 23.670515510847 & 0.833096809705876 \tabularnewline
0.33 & 23.8469685455122 & 0.814118183433018 \tabularnewline
0.34 & 24.0193662938227 & 0.811946760536935 \tabularnewline
0.35 & 24.1909449234231 & 0.82654392328236 \tabularnewline
0.36 & 24.3647142109205 & 0.85557177608312 \tabularnewline
0.37 & 24.5431793983789 & 0.895041836247815 \tabularnewline
0.38 & 24.7281436669266 & 0.940161091063064 \tabularnewline
0.39 & 24.9206351484012 & 0.986509783897097 \tabularnewline
0.4 & 25.1209694406004 & 1.030662497726 \tabularnewline
0.41 & 25.3289250222511 & 1.07070623235092 \tabularnewline
0.42 & 25.5439838590351 & 1.10630186177798 \tabularnewline
0.43 & 25.7655781410849 & 1.13835850748384 \tabularnewline
0.44 & 25.9932874019793 & 1.16867677946677 \tabularnewline
0.45 & 26.2269455480126 & 1.19928985257419 \tabularnewline
0.46 & 26.4666398159859 & 1.23176124884477 \tabularnewline
0.47 & 26.7126081215344 & 1.26663313397673 \tabularnewline
0.48 & 26.9650630136856 & 1.30321954341787 \tabularnewline
0.49 & 27.2239859977707 & 1.33942990279602 \tabularnewline
0.5 & 27.4889430397918 & 1.3721804881608 \tabularnewline
0.51 & 27.7589695596819 & 1.3979435125021 \tabularnewline
0.52 & 28.0325614307447 & 1.41339943982629 \tabularnewline
0.53 & 28.3077892242607 & 1.41627963484295 \tabularnewline
0.54 & 28.582529530267 & 1.40583533718255 \tabularnewline
0.55 & 28.8547841716361 & 1.3833763326955 \tabularnewline
0.56 & 29.1230402583597 & 1.35229132381428 \tabularnewline
0.57 & 29.3866150000294 & 1.31789302645383 \tabularnewline
0.58 & 29.6459305171208 & 1.28688840656664 \tabularnewline
0.59 & 29.9026744365655 & 1.26669094553873 \tabularnewline
0.6 & 30.1598185921248 & 1.26449190157334 \tabularnewline
0.61 & 30.4214867161793 & 1.28633961557031 \tabularnewline
0.62 & 30.6926795278129 & 1.33606487551282 \tabularnewline
0.63 & 30.9788809195827 & 1.41476770957096 \tabularnewline
0.64 & 31.2855825973585 & 1.52055248457306 \tabularnewline
0.65 & 31.6177774985229 & 1.64860504039036 \tabularnewline
0.66 & 31.9794840831053 & 1.79178650598027 \tabularnewline
0.67 & 32.3733709003734 & 1.94161385772178 \tabularnewline
0.68 & 32.8005480729065 & 2.08899959713405 \tabularnewline
0.69 & 33.2605738946548 & 2.22576910660684 \tabularnewline
0.7 & 33.7516884994203 & 2.34567340087473 \tabularnewline
0.71 & 34.2712369613453 & 2.44554847635946 \tabularnewline
0.72 & 34.8161929750422 & 2.52520412876205 \tabularnewline
0.73 & 35.3836578821646 & 2.58731993456646 \tabularnewline
0.74 & 35.9712039845256 & 2.63601075819064 \tabularnewline
0.75 & 36.5769644148221 & 2.67529284262811 \tabularnewline
0.76 & 37.199441058417 & 2.70740696705086 \tabularnewline
0.77 & 37.8370908702322 & 2.73163874189875 \tabularnewline
0.78 & 38.4878331910418 & 2.74443369483514 \tabularnewline
0.79 & 39.1486665562821 & 2.74039027796659 \tabularnewline
0.8 & 39.8155681351604 & 2.71404028479709 \tabularnewline
0.81 & 40.4837619694087 & 2.66217784169407 \tabularnewline
0.82 & 41.148297361819 & 2.58519392702024 \tabularnewline
0.83 & 41.8047206355597 & 2.48764228309334 \tabularnewline
0.84 & 42.4495247146213 & 2.37680871453175 \tabularnewline
0.85 & 43.0801025401555 & 2.25952467564181 \tabularnewline
0.86 & 43.6941613532459 & 2.13880544964371 \tabularnewline
0.87 & 44.2889417125019 & 2.01190178208922 \tabularnewline
0.88 & 44.8609757195354 & 1.87239341666868 \tabularnewline
0.89 & 45.4072568236324 & 1.71661670724497 \tabularnewline
0.9 & 45.9283047696147 & 1.55205455492573 \tabularnewline
0.91 & 46.4325519370892 & 1.40383321765179 \tabularnewline
0.92 & 46.9399150426647 & 1.31331373241307 \tabularnewline
0.93 & 47.481014987703 & 1.31937446405094 \tabularnewline
0.94 & 48.0887697764252 & 1.41964131166604 \tabularnewline
0.95 & 48.7836170613992 & 1.54389617830529 \tabularnewline
0.96 & 49.5639665959738 & 1.57795536397997 \tabularnewline
0.97 & 50.4197204042031 & 1.45541168287386 \tabularnewline
0.98 & 51.3539592911947 & 1.3304955637263 \tabularnewline
0.99 & 52.3140277780827 & 1.5604684780954 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127489&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]9.85428381771693[/C][C]4.26262344031363[/C][/ROW]
[ROW][C]0.02[/C][C]12.0779256105895[/C][C]2.45646653628305[/C][/ROW]
[ROW][C]0.03[/C][C]13.6982439475822[/C][C]1.50455066053292[/C][/ROW]
[ROW][C]0.04[/C][C]14.7242854688381[/C][C]1.25589504023078[/C][/ROW]
[ROW][C]0.05[/C][C]15.4291298317524[/C][C]1.18086921973523[/C][/ROW]
[ROW][C]0.06[/C][C]15.9780565428561[/C][C]1.07423578614774[/C][/ROW]
[ROW][C]0.07[/C][C]16.430426516666[/C][C]0.948635352312839[/C][/ROW]
[ROW][C]0.08[/C][C]16.8105752838344[/C][C]0.858376472334455[/C][/ROW]
[ROW][C]0.09[/C][C]17.1404029256268[/C][C]0.831821836242034[/C][/ROW]
[ROW][C]0.1[/C][C]17.4420337103302[/C][C]0.857998802395345[/C][/ROW]
[ROW][C]0.11[/C][C]17.7328302122209[/C][C]0.90827149836229[/C][/ROW]
[ROW][C]0.12[/C][C]18.0229432246928[/C][C]0.960723842742956[/C][/ROW]
[ROW][C]0.13[/C][C]18.3165723632064[/C][C]1.00793436823293[/C][/ROW]
[ROW][C]0.14[/C][C]18.6148663806015[/C][C]1.05348997458995[/C][/ROW]
[ROW][C]0.15[/C][C]18.9183702410619[/C][C]1.10446721537561[/C][/ROW]
[ROW][C]0.16[/C][C]19.2280453677086[/C][C]1.16447442121453[/C][/ROW]
[ROW][C]0.17[/C][C]19.5449817493104[/C][C]1.23045143732259[/C][/ROW]
[ROW][C]0.18[/C][C]19.8695010734793[/C][C]1.29387108185917[/C][/ROW]
[ROW][C]0.19[/C][C]20.2003884780579[/C][C]1.34450912433619[/C][/ROW]
[ROW][C]0.2[/C][C]20.5346902202923[/C][C]1.37412308382538[/C][/ROW]
[ROW][C]0.21[/C][C]20.8681284628609[/C][C]1.37886280640042[/C][/ROW]
[ROW][C]0.22[/C][C]21.195900151636[/C][C]1.35952974453566[/C][/ROW]
[ROW][C]0.23[/C][C]21.5135242599504[/C][C]1.32063086368906[/C][/ROW]
[ROW][C]0.24[/C][C]21.8174631332677[/C][C]1.26832693655441[/C][/ROW]
[ROW][C]0.25[/C][C]22.1053950178674[/C][C]1.20867296662253[/C][/ROW]
[ROW][C]0.26[/C][C]22.376170906657[/C][C]1.14617834368722[/C][/ROW]
[ROW][C]0.27[/C][C]22.6295882700853[/C][C]1.08364819642936[/C][/ROW]
[ROW][C]0.28[/C][C]22.8661349932745[/C][C]1.02276184930666[/C][/ROW]
[ROW][C]0.29[/C][C]23.0868126823157[/C][C]0.964843537281116[/C][/ROW]
[ROW][C]0.3[/C][C]23.293073734053[/C][C]0.911882518257193[/C][/ROW]
[ROW][C]0.31[/C][C]23.486837792106[/C][C]0.866787703344438[/C][/ROW]
[ROW][C]0.32[/C][C]23.670515510847[/C][C]0.833096809705876[/C][/ROW]
[ROW][C]0.33[/C][C]23.8469685455122[/C][C]0.814118183433018[/C][/ROW]
[ROW][C]0.34[/C][C]24.0193662938227[/C][C]0.811946760536935[/C][/ROW]
[ROW][C]0.35[/C][C]24.1909449234231[/C][C]0.82654392328236[/C][/ROW]
[ROW][C]0.36[/C][C]24.3647142109205[/C][C]0.85557177608312[/C][/ROW]
[ROW][C]0.37[/C][C]24.5431793983789[/C][C]0.895041836247815[/C][/ROW]
[ROW][C]0.38[/C][C]24.7281436669266[/C][C]0.940161091063064[/C][/ROW]
[ROW][C]0.39[/C][C]24.9206351484012[/C][C]0.986509783897097[/C][/ROW]
[ROW][C]0.4[/C][C]25.1209694406004[/C][C]1.030662497726[/C][/ROW]
[ROW][C]0.41[/C][C]25.3289250222511[/C][C]1.07070623235092[/C][/ROW]
[ROW][C]0.42[/C][C]25.5439838590351[/C][C]1.10630186177798[/C][/ROW]
[ROW][C]0.43[/C][C]25.7655781410849[/C][C]1.13835850748384[/C][/ROW]
[ROW][C]0.44[/C][C]25.9932874019793[/C][C]1.16867677946677[/C][/ROW]
[ROW][C]0.45[/C][C]26.2269455480126[/C][C]1.19928985257419[/C][/ROW]
[ROW][C]0.46[/C][C]26.4666398159859[/C][C]1.23176124884477[/C][/ROW]
[ROW][C]0.47[/C][C]26.7126081215344[/C][C]1.26663313397673[/C][/ROW]
[ROW][C]0.48[/C][C]26.9650630136856[/C][C]1.30321954341787[/C][/ROW]
[ROW][C]0.49[/C][C]27.2239859977707[/C][C]1.33942990279602[/C][/ROW]
[ROW][C]0.5[/C][C]27.4889430397918[/C][C]1.3721804881608[/C][/ROW]
[ROW][C]0.51[/C][C]27.7589695596819[/C][C]1.3979435125021[/C][/ROW]
[ROW][C]0.52[/C][C]28.0325614307447[/C][C]1.41339943982629[/C][/ROW]
[ROW][C]0.53[/C][C]28.3077892242607[/C][C]1.41627963484295[/C][/ROW]
[ROW][C]0.54[/C][C]28.582529530267[/C][C]1.40583533718255[/C][/ROW]
[ROW][C]0.55[/C][C]28.8547841716361[/C][C]1.3833763326955[/C][/ROW]
[ROW][C]0.56[/C][C]29.1230402583597[/C][C]1.35229132381428[/C][/ROW]
[ROW][C]0.57[/C][C]29.3866150000294[/C][C]1.31789302645383[/C][/ROW]
[ROW][C]0.58[/C][C]29.6459305171208[/C][C]1.28688840656664[/C][/ROW]
[ROW][C]0.59[/C][C]29.9026744365655[/C][C]1.26669094553873[/C][/ROW]
[ROW][C]0.6[/C][C]30.1598185921248[/C][C]1.26449190157334[/C][/ROW]
[ROW][C]0.61[/C][C]30.4214867161793[/C][C]1.28633961557031[/C][/ROW]
[ROW][C]0.62[/C][C]30.6926795278129[/C][C]1.33606487551282[/C][/ROW]
[ROW][C]0.63[/C][C]30.9788809195827[/C][C]1.41476770957096[/C][/ROW]
[ROW][C]0.64[/C][C]31.2855825973585[/C][C]1.52055248457306[/C][/ROW]
[ROW][C]0.65[/C][C]31.6177774985229[/C][C]1.64860504039036[/C][/ROW]
[ROW][C]0.66[/C][C]31.9794840831053[/C][C]1.79178650598027[/C][/ROW]
[ROW][C]0.67[/C][C]32.3733709003734[/C][C]1.94161385772178[/C][/ROW]
[ROW][C]0.68[/C][C]32.8005480729065[/C][C]2.08899959713405[/C][/ROW]
[ROW][C]0.69[/C][C]33.2605738946548[/C][C]2.22576910660684[/C][/ROW]
[ROW][C]0.7[/C][C]33.7516884994203[/C][C]2.34567340087473[/C][/ROW]
[ROW][C]0.71[/C][C]34.2712369613453[/C][C]2.44554847635946[/C][/ROW]
[ROW][C]0.72[/C][C]34.8161929750422[/C][C]2.52520412876205[/C][/ROW]
[ROW][C]0.73[/C][C]35.3836578821646[/C][C]2.58731993456646[/C][/ROW]
[ROW][C]0.74[/C][C]35.9712039845256[/C][C]2.63601075819064[/C][/ROW]
[ROW][C]0.75[/C][C]36.5769644148221[/C][C]2.67529284262811[/C][/ROW]
[ROW][C]0.76[/C][C]37.199441058417[/C][C]2.70740696705086[/C][/ROW]
[ROW][C]0.77[/C][C]37.8370908702322[/C][C]2.73163874189875[/C][/ROW]
[ROW][C]0.78[/C][C]38.4878331910418[/C][C]2.74443369483514[/C][/ROW]
[ROW][C]0.79[/C][C]39.1486665562821[/C][C]2.74039027796659[/C][/ROW]
[ROW][C]0.8[/C][C]39.8155681351604[/C][C]2.71404028479709[/C][/ROW]
[ROW][C]0.81[/C][C]40.4837619694087[/C][C]2.66217784169407[/C][/ROW]
[ROW][C]0.82[/C][C]41.148297361819[/C][C]2.58519392702024[/C][/ROW]
[ROW][C]0.83[/C][C]41.8047206355597[/C][C]2.48764228309334[/C][/ROW]
[ROW][C]0.84[/C][C]42.4495247146213[/C][C]2.37680871453175[/C][/ROW]
[ROW][C]0.85[/C][C]43.0801025401555[/C][C]2.25952467564181[/C][/ROW]
[ROW][C]0.86[/C][C]43.6941613532459[/C][C]2.13880544964371[/C][/ROW]
[ROW][C]0.87[/C][C]44.2889417125019[/C][C]2.01190178208922[/C][/ROW]
[ROW][C]0.88[/C][C]44.8609757195354[/C][C]1.87239341666868[/C][/ROW]
[ROW][C]0.89[/C][C]45.4072568236324[/C][C]1.71661670724497[/C][/ROW]
[ROW][C]0.9[/C][C]45.9283047696147[/C][C]1.55205455492573[/C][/ROW]
[ROW][C]0.91[/C][C]46.4325519370892[/C][C]1.40383321765179[/C][/ROW]
[ROW][C]0.92[/C][C]46.9399150426647[/C][C]1.31331373241307[/C][/ROW]
[ROW][C]0.93[/C][C]47.481014987703[/C][C]1.31937446405094[/C][/ROW]
[ROW][C]0.94[/C][C]48.0887697764252[/C][C]1.41964131166604[/C][/ROW]
[ROW][C]0.95[/C][C]48.7836170613992[/C][C]1.54389617830529[/C][/ROW]
[ROW][C]0.96[/C][C]49.5639665959738[/C][C]1.57795536397997[/C][/ROW]
[ROW][C]0.97[/C][C]50.4197204042031[/C][C]1.45541168287386[/C][/ROW]
[ROW][C]0.98[/C][C]51.3539592911947[/C][C]1.3304955637263[/C][/ROW]
[ROW][C]0.99[/C][C]52.3140277780827[/C][C]1.5604684780954[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127489&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127489&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
0.019.854283817716934.26262344031363
0.0212.07792561058952.45646653628305
0.0313.69824394758221.50455066053292
0.0414.72428546883811.25589504023078
0.0515.42912983175241.18086921973523
0.0615.97805654285611.07423578614774
0.0716.4304265166660.948635352312839
0.0816.81057528383440.858376472334455
0.0917.14040292562680.831821836242034
0.117.44203371033020.857998802395345
0.1117.73283021222090.90827149836229
0.1218.02294322469280.960723842742956
0.1318.31657236320641.00793436823293
0.1418.61486638060151.05348997458995
0.1518.91837024106191.10446721537561
0.1619.22804536770861.16447442121453
0.1719.54498174931041.23045143732259
0.1819.86950107347931.29387108185917
0.1920.20038847805791.34450912433619
0.220.53469022029231.37412308382538
0.2120.86812846286091.37886280640042
0.2221.1959001516361.35952974453566
0.2321.51352425995041.32063086368906
0.2421.81746313326771.26832693655441
0.2522.10539501786741.20867296662253
0.2622.3761709066571.14617834368722
0.2722.62958827008531.08364819642936
0.2822.86613499327451.02276184930666
0.2923.08681268231570.964843537281116
0.323.2930737340530.911882518257193
0.3123.4868377921060.866787703344438
0.3223.6705155108470.833096809705876
0.3323.84696854551220.814118183433018
0.3424.01936629382270.811946760536935
0.3524.19094492342310.82654392328236
0.3624.36471421092050.85557177608312
0.3724.54317939837890.895041836247815
0.3824.72814366692660.940161091063064
0.3924.92063514840120.986509783897097
0.425.12096944060041.030662497726
0.4125.32892502225111.07070623235092
0.4225.54398385903511.10630186177798
0.4325.76557814108491.13835850748384
0.4425.99328740197931.16867677946677
0.4526.22694554801261.19928985257419
0.4626.46663981598591.23176124884477
0.4726.71260812153441.26663313397673
0.4826.96506301368561.30321954341787
0.4927.22398599777071.33942990279602
0.527.48894303979181.3721804881608
0.5127.75896955968191.3979435125021
0.5228.03256143074471.41339943982629
0.5328.30778922426071.41627963484295
0.5428.5825295302671.40583533718255
0.5528.85478417163611.3833763326955
0.5629.12304025835971.35229132381428
0.5729.38661500002941.31789302645383
0.5829.64593051712081.28688840656664
0.5929.90267443656551.26669094553873
0.630.15981859212481.26449190157334
0.6130.42148671617931.28633961557031
0.6230.69267952781291.33606487551282
0.6330.97888091958271.41476770957096
0.6431.28558259735851.52055248457306
0.6531.61777749852291.64860504039036
0.6631.97948408310531.79178650598027
0.6732.37337090037341.94161385772178
0.6832.80054807290652.08899959713405
0.6933.26057389465482.22576910660684
0.733.75168849942032.34567340087473
0.7134.27123696134532.44554847635946
0.7234.81619297504222.52520412876205
0.7335.38365788216462.58731993456646
0.7435.97120398452562.63601075819064
0.7536.57696441482212.67529284262811
0.7637.1994410584172.70740696705086
0.7737.83709087023222.73163874189875
0.7838.48783319104182.74443369483514
0.7939.14866655628212.74039027796659
0.839.81556813516042.71404028479709
0.8140.48376196940872.66217784169407
0.8241.1482973618192.58519392702024
0.8341.80472063555972.48764228309334
0.8442.44952471462132.37680871453175
0.8543.08010254015552.25952467564181
0.8643.69416135324592.13880544964371
0.8744.28894171250192.01190178208922
0.8844.86097571953541.87239341666868
0.8945.40725682363241.71661670724497
0.945.92830476961471.55205455492573
0.9146.43255193708921.40383321765179
0.9246.93991504266471.31331373241307
0.9347.4810149877031.31937446405094
0.9448.08876977642521.41964131166604
0.9548.78361706139921.54389617830529
0.9649.56396659597381.57795536397997
0.9750.41972040420311.45541168287386
0.9851.35395929119471.3304955637263
0.9952.31402777808271.5604684780954


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')