FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 09 Mar 2009 10:34:07 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/09/t1236616571wd5end29psxa0dz.htm/, Retrieved Mon, 29 Apr 2024 02:21:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38789, Retrieved Mon, 29 Apr 2024 02:21:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123

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] [verkoopreeks - Aa...] [2009-03-09 16:34:07] [692360aaa1f674665b2fba1990ff39d8] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
53
59
73
72
62
58
55
56
52
52
43
37
43
55
68
68
64
65
57
59
54
57
43
42
52
51
58
60
61
58
62
61
49
51
47
40
45
50
58
52
50
50
46
46
38
37
34
29
30
40
46
46
47
47
43
46
37
41
39
36
48
55
56
53
52
53
52
56
51
48
42
42
44
50
60
66
58
59
55
57
57
56
53
51
45
58
74
65
65
55
52
59
54
57
45
40
47
47
60
58
63
64
64
63
55
54
44

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38789&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38789&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38789&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0130.13625466471222.17313508611654
0.0232.15308111140342.86150944964392
0.0334.15187504042782.44862929365908
0.0435.66576002751381.78826734304016
0.0536.71284247846051.41373597343540
0.0637.4889090776191.35950783936483
0.0738.15497375141871.43605673772609
0.0838.78544910867631.49930103036883
0.0939.39506769787581.50884474893846
0.139.97636822751331.47927617644039
0.1140.52139268462751.43278034136159
0.1241.02757198947921.38007231223809
0.1341.49641884865691.32489568877798
0.1441.93160283360041.27282087165332
0.1542.33826258218891.23277566702470
0.1642.72272412962151.21215577230433
0.1743.09167799790181.21172823462330
0.1843.45080961055811.22442516966142
0.1943.80353769858291.23876904017285
0.244.15050223159011.24379934153608
0.2144.49001529876721.23281765751761
0.2244.81923582195191.20539579553237
0.2345.13558784750421.16677357429091
0.2445.43795144910921.12603991896991
0.2545.72732942681261.09361156743323
0.2646.00691086015311.07898309737181
0.2746.28162160929691.08873983010953
0.2846.55733569637011.12507149249186
0.2946.83993370324821.18589818665650
0.347.1343715026111.26484193541463
0.3147.44389543026441.35236090346550
0.3247.76951716799631.43728891736855
0.3348.10983271442281.50852344574056
0.3448.46122091448851.55691619226434
0.3548.81838688275191.57665008935253
0.3649.17514155612281.56590942284304
0.3749.52525809805061.52690971162759
0.3849.86324065148961.46491348568458
0.3950.18488358366591.38709976033729
0.450.48757122301141.30100399122736
0.4150.77033909004361.21395331546425
0.4251.03376164500141.13225215202131
0.4351.2797383587341.06122964770267
0.4451.51122762337181.00530170953648
0.4551.73194636966850.967618846086936
0.4651.94603212454290.949801216260726
0.4752.1576641495710.9516514430474
0.4852.37065907093130.970340591511953
0.4952.58808238210211.00121019849506
0.552.81193613396611.03805078056441
0.5153.04298479730021.07445445568270
0.5253.28076290788851.10454206629821
0.5353.52377408309111.12404159947293
0.5453.76985031903371.13082282879231
0.5554.01660367277451.12506274135343
0.5654.2618791622141.10904316303507
0.5754.50411492736661.08680561615531
0.5854.74253591152811.06271497796706
0.5954.97714711298491.04073040827014
0.655.20854209723981.02340451949964
0.6155.43758790233361.01108652169965
0.6255.66507488282151.00232225892991
0.6355.89142134335960.994435737468334
0.6456.11649949416060.984330649610744
0.6556.33961197760130.969315319742898
0.6656.55961177688860.947740159116316
0.6756.7751342899720.91916584884177
0.6856.98490140347420.884662485291378
0.6957.18805704024080.84651397441389
0.757.38449206411810.808247707078405
0.7157.57510903974020.7745895683273
0.7257.76197014770940.750757393357576
0.7357.94827825492710.741792191610104
0.7458.13817255495970.751156841640259
0.7558.33637255449180.779895062255441
0.7658.54775571304590.826573843267747
0.7758.77697491262520.888018245236342
0.7859.02819319207250.960731179917789
0.7959.30494234452691.04141832505872
0.859.61003335117811.12687950903886
0.8159.94540422461081.2136732938029
0.8260.31181407759371.29705454082751
0.8360.70837986883261.37062925262623
0.8461.13207376939751.42643554135922
0.8561.57740987196691.45619498282282
0.8662.03660838227991.45324022572475
0.8762.50051211232761.41485346199475
0.8862.96045808110241.34483380696806
0.8963.41122652323171.25546108889761
0.963.85511154478291.16922561662896
0.9164.30690349020291.12014221637384
0.9264.79885275262981.15219385383785
0.9365.38374053471341.30507823796865
0.9466.13383461535741.58838422224548
0.9567.13195437153891.97560252850443
0.9668.44226316537852.39293185594139
0.9770.04306933580462.62105779252326
0.9871.74845369276452.29592548501902
0.9973.20940141971881.45057722413331

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 30.1362546647122 & 2.17313508611654 \tabularnewline
0.02 & 32.1530811114034 & 2.86150944964392 \tabularnewline
0.03 & 34.1518750404278 & 2.44862929365908 \tabularnewline
0.04 & 35.6657600275138 & 1.78826734304016 \tabularnewline
0.05 & 36.7128424784605 & 1.41373597343540 \tabularnewline
0.06 & 37.488909077619 & 1.35950783936483 \tabularnewline
0.07 & 38.1549737514187 & 1.43605673772609 \tabularnewline
0.08 & 38.7854491086763 & 1.49930103036883 \tabularnewline
0.09 & 39.3950676978758 & 1.50884474893846 \tabularnewline
0.1 & 39.9763682275133 & 1.47927617644039 \tabularnewline
0.11 & 40.5213926846275 & 1.43278034136159 \tabularnewline
0.12 & 41.0275719894792 & 1.38007231223809 \tabularnewline
0.13 & 41.4964188486569 & 1.32489568877798 \tabularnewline
0.14 & 41.9316028336004 & 1.27282087165332 \tabularnewline
0.15 & 42.3382625821889 & 1.23277566702470 \tabularnewline
0.16 & 42.7227241296215 & 1.21215577230433 \tabularnewline
0.17 & 43.0916779979018 & 1.21172823462330 \tabularnewline
0.18 & 43.4508096105581 & 1.22442516966142 \tabularnewline
0.19 & 43.8035376985829 & 1.23876904017285 \tabularnewline
0.2 & 44.1505022315901 & 1.24379934153608 \tabularnewline
0.21 & 44.4900152987672 & 1.23281765751761 \tabularnewline
0.22 & 44.8192358219519 & 1.20539579553237 \tabularnewline
0.23 & 45.1355878475042 & 1.16677357429091 \tabularnewline
0.24 & 45.4379514491092 & 1.12603991896991 \tabularnewline
0.25 & 45.7273294268126 & 1.09361156743323 \tabularnewline
0.26 & 46.0069108601531 & 1.07898309737181 \tabularnewline
0.27 & 46.2816216092969 & 1.08873983010953 \tabularnewline
0.28 & 46.5573356963701 & 1.12507149249186 \tabularnewline
0.29 & 46.8399337032482 & 1.18589818665650 \tabularnewline
0.3 & 47.134371502611 & 1.26484193541463 \tabularnewline
0.31 & 47.4438954302644 & 1.35236090346550 \tabularnewline
0.32 & 47.7695171679963 & 1.43728891736855 \tabularnewline
0.33 & 48.1098327144228 & 1.50852344574056 \tabularnewline
0.34 & 48.4612209144885 & 1.55691619226434 \tabularnewline
0.35 & 48.8183868827519 & 1.57665008935253 \tabularnewline
0.36 & 49.1751415561228 & 1.56590942284304 \tabularnewline
0.37 & 49.5252580980506 & 1.52690971162759 \tabularnewline
0.38 & 49.8632406514896 & 1.46491348568458 \tabularnewline
0.39 & 50.1848835836659 & 1.38709976033729 \tabularnewline
0.4 & 50.4875712230114 & 1.30100399122736 \tabularnewline
0.41 & 50.7703390900436 & 1.21395331546425 \tabularnewline
0.42 & 51.0337616450014 & 1.13225215202131 \tabularnewline
0.43 & 51.279738358734 & 1.06122964770267 \tabularnewline
0.44 & 51.5112276233718 & 1.00530170953648 \tabularnewline
0.45 & 51.7319463696685 & 0.967618846086936 \tabularnewline
0.46 & 51.9460321245429 & 0.949801216260726 \tabularnewline
0.47 & 52.157664149571 & 0.9516514430474 \tabularnewline
0.48 & 52.3706590709313 & 0.970340591511953 \tabularnewline
0.49 & 52.5880823821021 & 1.00121019849506 \tabularnewline
0.5 & 52.8119361339661 & 1.03805078056441 \tabularnewline
0.51 & 53.0429847973002 & 1.07445445568270 \tabularnewline
0.52 & 53.2807629078885 & 1.10454206629821 \tabularnewline
0.53 & 53.5237740830911 & 1.12404159947293 \tabularnewline
0.54 & 53.7698503190337 & 1.13082282879231 \tabularnewline
0.55 & 54.0166036727745 & 1.12506274135343 \tabularnewline
0.56 & 54.261879162214 & 1.10904316303507 \tabularnewline
0.57 & 54.5041149273666 & 1.08680561615531 \tabularnewline
0.58 & 54.7425359115281 & 1.06271497796706 \tabularnewline
0.59 & 54.9771471129849 & 1.04073040827014 \tabularnewline
0.6 & 55.2085420972398 & 1.02340451949964 \tabularnewline
0.61 & 55.4375879023336 & 1.01108652169965 \tabularnewline
0.62 & 55.6650748828215 & 1.00232225892991 \tabularnewline
0.63 & 55.8914213433596 & 0.994435737468334 \tabularnewline
0.64 & 56.1164994941606 & 0.984330649610744 \tabularnewline
0.65 & 56.3396119776013 & 0.969315319742898 \tabularnewline
0.66 & 56.5596117768886 & 0.947740159116316 \tabularnewline
0.67 & 56.775134289972 & 0.91916584884177 \tabularnewline
0.68 & 56.9849014034742 & 0.884662485291378 \tabularnewline
0.69 & 57.1880570402408 & 0.84651397441389 \tabularnewline
0.7 & 57.3844920641181 & 0.808247707078405 \tabularnewline
0.71 & 57.5751090397402 & 0.7745895683273 \tabularnewline
0.72 & 57.7619701477094 & 0.750757393357576 \tabularnewline
0.73 & 57.9482782549271 & 0.741792191610104 \tabularnewline
0.74 & 58.1381725549597 & 0.751156841640259 \tabularnewline
0.75 & 58.3363725544918 & 0.779895062255441 \tabularnewline
0.76 & 58.5477557130459 & 0.826573843267747 \tabularnewline
0.77 & 58.7769749126252 & 0.888018245236342 \tabularnewline
0.78 & 59.0281931920725 & 0.960731179917789 \tabularnewline
0.79 & 59.3049423445269 & 1.04141832505872 \tabularnewline
0.8 & 59.6100333511781 & 1.12687950903886 \tabularnewline
0.81 & 59.9454042246108 & 1.2136732938029 \tabularnewline
0.82 & 60.3118140775937 & 1.29705454082751 \tabularnewline
0.83 & 60.7083798688326 & 1.37062925262623 \tabularnewline
0.84 & 61.1320737693975 & 1.42643554135922 \tabularnewline
0.85 & 61.5774098719669 & 1.45619498282282 \tabularnewline
0.86 & 62.0366083822799 & 1.45324022572475 \tabularnewline
0.87 & 62.5005121123276 & 1.41485346199475 \tabularnewline
0.88 & 62.9604580811024 & 1.34483380696806 \tabularnewline
0.89 & 63.4112265232317 & 1.25546108889761 \tabularnewline
0.9 & 63.8551115447829 & 1.16922561662896 \tabularnewline
0.91 & 64.3069034902029 & 1.12014221637384 \tabularnewline
0.92 & 64.7988527526298 & 1.15219385383785 \tabularnewline
0.93 & 65.3837405347134 & 1.30507823796865 \tabularnewline
0.94 & 66.1338346153574 & 1.58838422224548 \tabularnewline
0.95 & 67.1319543715389 & 1.97560252850443 \tabularnewline
0.96 & 68.4422631653785 & 2.39293185594139 \tabularnewline
0.97 & 70.0430693358046 & 2.62105779252326 \tabularnewline
0.98 & 71.7484536927645 & 2.29592548501902 \tabularnewline
0.99 & 73.2094014197188 & 1.45057722413331 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38789&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]30.1362546647122[/C][C]2.17313508611654[/C][/ROW]
[ROW][C]0.02[/C][C]32.1530811114034[/C][C]2.86150944964392[/C][/ROW]
[ROW][C]0.03[/C][C]34.1518750404278[/C][C]2.44862929365908[/C][/ROW]
[ROW][C]0.04[/C][C]35.6657600275138[/C][C]1.78826734304016[/C][/ROW]
[ROW][C]0.05[/C][C]36.7128424784605[/C][C]1.41373597343540[/C][/ROW]
[ROW][C]0.06[/C][C]37.488909077619[/C][C]1.35950783936483[/C][/ROW]
[ROW][C]0.07[/C][C]38.1549737514187[/C][C]1.43605673772609[/C][/ROW]
[ROW][C]0.08[/C][C]38.7854491086763[/C][C]1.49930103036883[/C][/ROW]
[ROW][C]0.09[/C][C]39.3950676978758[/C][C]1.50884474893846[/C][/ROW]
[ROW][C]0.1[/C][C]39.9763682275133[/C][C]1.47927617644039[/C][/ROW]
[ROW][C]0.11[/C][C]40.5213926846275[/C][C]1.43278034136159[/C][/ROW]
[ROW][C]0.12[/C][C]41.0275719894792[/C][C]1.38007231223809[/C][/ROW]
[ROW][C]0.13[/C][C]41.4964188486569[/C][C]1.32489568877798[/C][/ROW]
[ROW][C]0.14[/C][C]41.9316028336004[/C][C]1.27282087165332[/C][/ROW]
[ROW][C]0.15[/C][C]42.3382625821889[/C][C]1.23277566702470[/C][/ROW]
[ROW][C]0.16[/C][C]42.7227241296215[/C][C]1.21215577230433[/C][/ROW]
[ROW][C]0.17[/C][C]43.0916779979018[/C][C]1.21172823462330[/C][/ROW]
[ROW][C]0.18[/C][C]43.4508096105581[/C][C]1.22442516966142[/C][/ROW]
[ROW][C]0.19[/C][C]43.8035376985829[/C][C]1.23876904017285[/C][/ROW]
[ROW][C]0.2[/C][C]44.1505022315901[/C][C]1.24379934153608[/C][/ROW]
[ROW][C]0.21[/C][C]44.4900152987672[/C][C]1.23281765751761[/C][/ROW]
[ROW][C]0.22[/C][C]44.8192358219519[/C][C]1.20539579553237[/C][/ROW]
[ROW][C]0.23[/C][C]45.1355878475042[/C][C]1.16677357429091[/C][/ROW]
[ROW][C]0.24[/C][C]45.4379514491092[/C][C]1.12603991896991[/C][/ROW]
[ROW][C]0.25[/C][C]45.7273294268126[/C][C]1.09361156743323[/C][/ROW]
[ROW][C]0.26[/C][C]46.0069108601531[/C][C]1.07898309737181[/C][/ROW]
[ROW][C]0.27[/C][C]46.2816216092969[/C][C]1.08873983010953[/C][/ROW]
[ROW][C]0.28[/C][C]46.5573356963701[/C][C]1.12507149249186[/C][/ROW]
[ROW][C]0.29[/C][C]46.8399337032482[/C][C]1.18589818665650[/C][/ROW]
[ROW][C]0.3[/C][C]47.134371502611[/C][C]1.26484193541463[/C][/ROW]
[ROW][C]0.31[/C][C]47.4438954302644[/C][C]1.35236090346550[/C][/ROW]
[ROW][C]0.32[/C][C]47.7695171679963[/C][C]1.43728891736855[/C][/ROW]
[ROW][C]0.33[/C][C]48.1098327144228[/C][C]1.50852344574056[/C][/ROW]
[ROW][C]0.34[/C][C]48.4612209144885[/C][C]1.55691619226434[/C][/ROW]
[ROW][C]0.35[/C][C]48.8183868827519[/C][C]1.57665008935253[/C][/ROW]
[ROW][C]0.36[/C][C]49.1751415561228[/C][C]1.56590942284304[/C][/ROW]
[ROW][C]0.37[/C][C]49.5252580980506[/C][C]1.52690971162759[/C][/ROW]
[ROW][C]0.38[/C][C]49.8632406514896[/C][C]1.46491348568458[/C][/ROW]
[ROW][C]0.39[/C][C]50.1848835836659[/C][C]1.38709976033729[/C][/ROW]
[ROW][C]0.4[/C][C]50.4875712230114[/C][C]1.30100399122736[/C][/ROW]
[ROW][C]0.41[/C][C]50.7703390900436[/C][C]1.21395331546425[/C][/ROW]
[ROW][C]0.42[/C][C]51.0337616450014[/C][C]1.13225215202131[/C][/ROW]
[ROW][C]0.43[/C][C]51.279738358734[/C][C]1.06122964770267[/C][/ROW]
[ROW][C]0.44[/C][C]51.5112276233718[/C][C]1.00530170953648[/C][/ROW]
[ROW][C]0.45[/C][C]51.7319463696685[/C][C]0.967618846086936[/C][/ROW]
[ROW][C]0.46[/C][C]51.9460321245429[/C][C]0.949801216260726[/C][/ROW]
[ROW][C]0.47[/C][C]52.157664149571[/C][C]0.9516514430474[/C][/ROW]
[ROW][C]0.48[/C][C]52.3706590709313[/C][C]0.970340591511953[/C][/ROW]
[ROW][C]0.49[/C][C]52.5880823821021[/C][C]1.00121019849506[/C][/ROW]
[ROW][C]0.5[/C][C]52.8119361339661[/C][C]1.03805078056441[/C][/ROW]
[ROW][C]0.51[/C][C]53.0429847973002[/C][C]1.07445445568270[/C][/ROW]
[ROW][C]0.52[/C][C]53.2807629078885[/C][C]1.10454206629821[/C][/ROW]
[ROW][C]0.53[/C][C]53.5237740830911[/C][C]1.12404159947293[/C][/ROW]
[ROW][C]0.54[/C][C]53.7698503190337[/C][C]1.13082282879231[/C][/ROW]
[ROW][C]0.55[/C][C]54.0166036727745[/C][C]1.12506274135343[/C][/ROW]
[ROW][C]0.56[/C][C]54.261879162214[/C][C]1.10904316303507[/C][/ROW]
[ROW][C]0.57[/C][C]54.5041149273666[/C][C]1.08680561615531[/C][/ROW]
[ROW][C]0.58[/C][C]54.7425359115281[/C][C]1.06271497796706[/C][/ROW]
[ROW][C]0.59[/C][C]54.9771471129849[/C][C]1.04073040827014[/C][/ROW]
[ROW][C]0.6[/C][C]55.2085420972398[/C][C]1.02340451949964[/C][/ROW]
[ROW][C]0.61[/C][C]55.4375879023336[/C][C]1.01108652169965[/C][/ROW]
[ROW][C]0.62[/C][C]55.6650748828215[/C][C]1.00232225892991[/C][/ROW]
[ROW][C]0.63[/C][C]55.8914213433596[/C][C]0.994435737468334[/C][/ROW]
[ROW][C]0.64[/C][C]56.1164994941606[/C][C]0.984330649610744[/C][/ROW]
[ROW][C]0.65[/C][C]56.3396119776013[/C][C]0.969315319742898[/C][/ROW]
[ROW][C]0.66[/C][C]56.5596117768886[/C][C]0.947740159116316[/C][/ROW]
[ROW][C]0.67[/C][C]56.775134289972[/C][C]0.91916584884177[/C][/ROW]
[ROW][C]0.68[/C][C]56.9849014034742[/C][C]0.884662485291378[/C][/ROW]
[ROW][C]0.69[/C][C]57.1880570402408[/C][C]0.84651397441389[/C][/ROW]
[ROW][C]0.7[/C][C]57.3844920641181[/C][C]0.808247707078405[/C][/ROW]
[ROW][C]0.71[/C][C]57.5751090397402[/C][C]0.7745895683273[/C][/ROW]
[ROW][C]0.72[/C][C]57.7619701477094[/C][C]0.750757393357576[/C][/ROW]
[ROW][C]0.73[/C][C]57.9482782549271[/C][C]0.741792191610104[/C][/ROW]
[ROW][C]0.74[/C][C]58.1381725549597[/C][C]0.751156841640259[/C][/ROW]
[ROW][C]0.75[/C][C]58.3363725544918[/C][C]0.779895062255441[/C][/ROW]
[ROW][C]0.76[/C][C]58.5477557130459[/C][C]0.826573843267747[/C][/ROW]
[ROW][C]0.77[/C][C]58.7769749126252[/C][C]0.888018245236342[/C][/ROW]
[ROW][C]0.78[/C][C]59.0281931920725[/C][C]0.960731179917789[/C][/ROW]
[ROW][C]0.79[/C][C]59.3049423445269[/C][C]1.04141832505872[/C][/ROW]
[ROW][C]0.8[/C][C]59.6100333511781[/C][C]1.12687950903886[/C][/ROW]
[ROW][C]0.81[/C][C]59.9454042246108[/C][C]1.2136732938029[/C][/ROW]
[ROW][C]0.82[/C][C]60.3118140775937[/C][C]1.29705454082751[/C][/ROW]
[ROW][C]0.83[/C][C]60.7083798688326[/C][C]1.37062925262623[/C][/ROW]
[ROW][C]0.84[/C][C]61.1320737693975[/C][C]1.42643554135922[/C][/ROW]
[ROW][C]0.85[/C][C]61.5774098719669[/C][C]1.45619498282282[/C][/ROW]
[ROW][C]0.86[/C][C]62.0366083822799[/C][C]1.45324022572475[/C][/ROW]
[ROW][C]0.87[/C][C]62.5005121123276[/C][C]1.41485346199475[/C][/ROW]
[ROW][C]0.88[/C][C]62.9604580811024[/C][C]1.34483380696806[/C][/ROW]
[ROW][C]0.89[/C][C]63.4112265232317[/C][C]1.25546108889761[/C][/ROW]
[ROW][C]0.9[/C][C]63.8551115447829[/C][C]1.16922561662896[/C][/ROW]
[ROW][C]0.91[/C][C]64.3069034902029[/C][C]1.12014221637384[/C][/ROW]
[ROW][C]0.92[/C][C]64.7988527526298[/C][C]1.15219385383785[/C][/ROW]
[ROW][C]0.93[/C][C]65.3837405347134[/C][C]1.30507823796865[/C][/ROW]
[ROW][C]0.94[/C][C]66.1338346153574[/C][C]1.58838422224548[/C][/ROW]
[ROW][C]0.95[/C][C]67.1319543715389[/C][C]1.97560252850443[/C][/ROW]
[ROW][C]0.96[/C][C]68.4422631653785[/C][C]2.39293185594139[/C][/ROW]
[ROW][C]0.97[/C][C]70.0430693358046[/C][C]2.62105779252326[/C][/ROW]
[ROW][C]0.98[/C][C]71.7484536927645[/C][C]2.29592548501902[/C][/ROW]
[ROW][C]0.99[/C][C]73.2094014197188[/C][C]1.45057722413331[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38789&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38789&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
0.0130.13625466471222.17313508611654
0.0232.15308111140342.86150944964392
0.0334.15187504042782.44862929365908
0.0435.66576002751381.78826734304016
0.0536.71284247846051.41373597343540
0.0637.4889090776191.35950783936483
0.0738.15497375141871.43605673772609
0.0838.78544910867631.49930103036883
0.0939.39506769787581.50884474893846
0.139.97636822751331.47927617644039
0.1140.52139268462751.43278034136159
0.1241.02757198947921.38007231223809
0.1341.49641884865691.32489568877798
0.1441.93160283360041.27282087165332
0.1542.33826258218891.23277566702470
0.1642.72272412962151.21215577230433
0.1743.09167799790181.21172823462330
0.1843.45080961055811.22442516966142
0.1943.80353769858291.23876904017285
0.244.15050223159011.24379934153608
0.2144.49001529876721.23281765751761
0.2244.81923582195191.20539579553237
0.2345.13558784750421.16677357429091
0.2445.43795144910921.12603991896991
0.2545.72732942681261.09361156743323
0.2646.00691086015311.07898309737181
0.2746.28162160929691.08873983010953
0.2846.55733569637011.12507149249186
0.2946.83993370324821.18589818665650
0.347.1343715026111.26484193541463
0.3147.44389543026441.35236090346550
0.3247.76951716799631.43728891736855
0.3348.10983271442281.50852344574056
0.3448.46122091448851.55691619226434
0.3548.81838688275191.57665008935253
0.3649.17514155612281.56590942284304
0.3749.52525809805061.52690971162759
0.3849.86324065148961.46491348568458
0.3950.18488358366591.38709976033729
0.450.48757122301141.30100399122736
0.4150.77033909004361.21395331546425
0.4251.03376164500141.13225215202131
0.4351.2797383587341.06122964770267
0.4451.51122762337181.00530170953648
0.4551.73194636966850.967618846086936
0.4651.94603212454290.949801216260726
0.4752.1576641495710.9516514430474
0.4852.37065907093130.970340591511953
0.4952.58808238210211.00121019849506
0.552.81193613396611.03805078056441
0.5153.04298479730021.07445445568270
0.5253.28076290788851.10454206629821
0.5353.52377408309111.12404159947293
0.5453.76985031903371.13082282879231
0.5554.01660367277451.12506274135343
0.5654.2618791622141.10904316303507
0.5754.50411492736661.08680561615531
0.5854.74253591152811.06271497796706
0.5954.97714711298491.04073040827014
0.655.20854209723981.02340451949964
0.6155.43758790233361.01108652169965
0.6255.66507488282151.00232225892991
0.6355.89142134335960.994435737468334
0.6456.11649949416060.984330649610744
0.6556.33961197760130.969315319742898
0.6656.55961177688860.947740159116316
0.6756.7751342899720.91916584884177
0.6856.98490140347420.884662485291378
0.6957.18805704024080.84651397441389
0.757.38449206411810.808247707078405
0.7157.57510903974020.7745895683273
0.7257.76197014770940.750757393357576
0.7357.94827825492710.741792191610104
0.7458.13817255495970.751156841640259
0.7558.33637255449180.779895062255441
0.7658.54775571304590.826573843267747
0.7758.77697491262520.888018245236342
0.7859.02819319207250.960731179917789
0.7959.30494234452691.04141832505872
0.859.61003335117811.12687950903886
0.8159.94540422461081.2136732938029
0.8260.31181407759371.29705454082751
0.8360.70837986883261.37062925262623
0.8461.13207376939751.42643554135922
0.8561.57740987196691.45619498282282
0.8662.03660838227991.45324022572475
0.8762.50051211232761.41485346199475
0.8862.96045808110241.34483380696806
0.8963.41122652323171.25546108889761
0.963.85511154478291.16922561662896
0.9164.30690349020291.12014221637384
0.9264.79885275262981.15219385383785
0.9365.38374053471341.30507823796865
0.9466.13383461535741.58838422224548
0.9567.13195437153891.97560252850443
0.9668.44226316537852.39293185594139
0.9770.04306933580462.62105779252326
0.9871.74845369276452.29592548501902
0.9973.20940141971881.45057722413331


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')