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, 19 Oct 2009 11:14:11 -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/Oct/19/t1255972505tlh3zc7l3bwywp3.htm/, Retrieved Mon, 29 Apr 2024 20:21:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47938, Retrieved Mon, 29 Apr 2024 20:21:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact96

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] [Harrell-Davis Per...] [2009-10-19 17:14:11] [8f8e9c02618ede2e1409e777dc93d656] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7054
8620
8771
11379
12066
12657
27630
29722
29789
30630
31879
32228
32745
33008
33091
33425
33520
34077
34418
34568
34571
34801
34931
35502
36222
36279
36432
37013
37848
37898
37967
38064
38401
38529
38683
38708
39018
39253
39341
39383
39401
39486
39525
39556
40439
40600
40809
40870
40891
40898
41117
41519
41547
41629
41697
41756
41888
42438
43412
44720
44953
45315
45409
45633
47060
47221
48138
48428
49267
50380
50530
50669
51321
52073
56231
68184
68897
68906
69116
70249
70938

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47938&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47938&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47938&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.017630.798461953691380.75048407694
0.028582.64055088361679.72966123563
0.039810.572368172522680.20526119073
0.0411393.94157787814133.20865479182
0.0513417.05852728755728.21962929107
0.0615855.74059074657067.19788488462
0.0718564.40622969507785.36763570408
0.0821322.59514465517727.11642455526
0.0923906.38345705086997.30437491226
0.126151.13751408455871.0810773179
0.1127980.97274126984650.04694817750
0.1229401.64940156233555.35841408246
0.1330471.52203862122692.20532666485
0.1431269.28848983902070.38846850850
0.1531870.65742970511647.48724915904
0.1632336.98438879681368.07580089168
0.1732713.06887405581185.87611903298
0.1833029.68921497541069.12615766862
0.1933307.4442064123997.382984456934
0.233560.1427237070957.443212785046
0.2133797.2415844719940.45824153695
0.2234025.4365963073941.009622662349
0.2334249.6551380685955.795592875115
0.2434473.6458463070982.752379574968
0.2534700.28405540821019.90474990887
0.2634931.67292010471064.25806134769
0.2735169.11558439321112.14277322462
0.2835413.03837755391158.72287165876
0.2935662.93957689461199.25288426820
0.335917.41738051411229.25646253236
0.3136174.29984146741245.28749858069
0.3236430.86824149391245.32364511335
0.3336684.14184959541228.94252926642
0.3436931.18017933081197.05027169459
0.3537169.35861524131151.94431490668
0.3637396.58197322841097.00123444105
0.3737611.41464975151035.76256906821
0.3837813.1220719053971.99863512988
0.3938001.6332023718909.089718697892
0.438177.4453808385849.751343275894
0.4138341.4989040631795.972484829643
0.4238495.0485011013748.949112311629
0.4338639.5525931006709.369754884887
0.4438776.5907249319677.582875566677
0.4538907.8077561528653.806056399393
0.4639034.8736716042638.346707219183
0.4739159.4430696507631.299886117035
0.4839283.099961653632.484413401376
0.4939407.2810088396641.107827485211
0.539533.1814053453655.604684052453
0.5139661.6587364422673.695787952101
0.5239793.1575975048692.650573455279
0.5339927.6788947125709.705328495258
0.5440064.8118607169722.345118783134
0.5540203.8354405741729.079124018562
0.5640343.8820963198729.454196461421
0.5740484.14506927724.382522498303
0.5840624.102715707715.97513740683
0.5940763.7317624541707.511880132617
0.640903.6840926664703.162678619604
0.6141045.4063837516707.488705708714
0.6241191.185998208725.269970031296
0.6341344.1089676601760.758502675123
0.6441507.9181501867816.98847849003
0.6541686.7651433543895.35939241209
0.6641884.8619925302994.757957099848
0.6742106.05951851621111.51484048912
0.6842353.40510769371239.54737749656
0.6942628.75604816931371.00368787321
0.742932.53405226191497.43184334832
0.7143263.69295802071610.86748677142
0.7243619.93166193381705.33181957882
0.7343998.12496156551778.00978097821
0.7444394.88280394071829.46901518383
0.7544807.1051444521863.30846695290
0.7645232.39423020141884.96439942863
0.7745669.22750757041899.86461259508
0.7846116.87802062681911.96897667700
0.7946575.18008329191922.71146488589
0.847044.35736421741931.51464005252
0.8147525.24009900881937.52894009493
0.8248020.27465863391942.97375000033
0.8348535.72485290481958.07909553945
0.8449085.28481513062007.36126006533
0.8549694.8219413362136.76035897265
0.8650407.01063354962414.56137377384
0.8751283.25172985792914.02331063676
0.8852398.99615850563675.68233359191
0.8953828.55336904224665.95981921584
0.955618.23747822545747.85606263165
0.9157753.21067193356678.91652519396
0.9260132.05406196037160.3735127486
0.9362568.50025079756948.67866818071
0.9464834.12749675155993.38067220517
0.9566735.07542373344517.05607824373
0.9668187.58353597032953.14008823585
0.9769241.95981508671741.69004255949
0.9870022.74123105931078.36872549606
0.9970606.377507131791.319098365767

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7630.79846195369 & 1380.75048407694 \tabularnewline
0.02 & 8582.6405508836 & 1679.72966123563 \tabularnewline
0.03 & 9810.57236817252 & 2680.20526119073 \tabularnewline
0.04 & 11393.9415778781 & 4133.20865479182 \tabularnewline
0.05 & 13417.0585272875 & 5728.21962929107 \tabularnewline
0.06 & 15855.7405907465 & 7067.19788488462 \tabularnewline
0.07 & 18564.4062296950 & 7785.36763570408 \tabularnewline
0.08 & 21322.5951446551 & 7727.11642455526 \tabularnewline
0.09 & 23906.3834570508 & 6997.30437491226 \tabularnewline
0.1 & 26151.1375140845 & 5871.0810773179 \tabularnewline
0.11 & 27980.9727412698 & 4650.04694817750 \tabularnewline
0.12 & 29401.6494015623 & 3555.35841408246 \tabularnewline
0.13 & 30471.5220386212 & 2692.20532666485 \tabularnewline
0.14 & 31269.2884898390 & 2070.38846850850 \tabularnewline
0.15 & 31870.6574297051 & 1647.48724915904 \tabularnewline
0.16 & 32336.9843887968 & 1368.07580089168 \tabularnewline
0.17 & 32713.0688740558 & 1185.87611903298 \tabularnewline
0.18 & 33029.6892149754 & 1069.12615766862 \tabularnewline
0.19 & 33307.4442064123 & 997.382984456934 \tabularnewline
0.2 & 33560.1427237070 & 957.443212785046 \tabularnewline
0.21 & 33797.2415844719 & 940.45824153695 \tabularnewline
0.22 & 34025.4365963073 & 941.009622662349 \tabularnewline
0.23 & 34249.6551380685 & 955.795592875115 \tabularnewline
0.24 & 34473.6458463070 & 982.752379574968 \tabularnewline
0.25 & 34700.2840554082 & 1019.90474990887 \tabularnewline
0.26 & 34931.6729201047 & 1064.25806134769 \tabularnewline
0.27 & 35169.1155843932 & 1112.14277322462 \tabularnewline
0.28 & 35413.0383775539 & 1158.72287165876 \tabularnewline
0.29 & 35662.9395768946 & 1199.25288426820 \tabularnewline
0.3 & 35917.4173805141 & 1229.25646253236 \tabularnewline
0.31 & 36174.2998414674 & 1245.28749858069 \tabularnewline
0.32 & 36430.8682414939 & 1245.32364511335 \tabularnewline
0.33 & 36684.1418495954 & 1228.94252926642 \tabularnewline
0.34 & 36931.1801793308 & 1197.05027169459 \tabularnewline
0.35 & 37169.3586152413 & 1151.94431490668 \tabularnewline
0.36 & 37396.5819732284 & 1097.00123444105 \tabularnewline
0.37 & 37611.4146497515 & 1035.76256906821 \tabularnewline
0.38 & 37813.1220719053 & 971.99863512988 \tabularnewline
0.39 & 38001.6332023718 & 909.089718697892 \tabularnewline
0.4 & 38177.4453808385 & 849.751343275894 \tabularnewline
0.41 & 38341.4989040631 & 795.972484829643 \tabularnewline
0.42 & 38495.0485011013 & 748.949112311629 \tabularnewline
0.43 & 38639.5525931006 & 709.369754884887 \tabularnewline
0.44 & 38776.5907249319 & 677.582875566677 \tabularnewline
0.45 & 38907.8077561528 & 653.806056399393 \tabularnewline
0.46 & 39034.8736716042 & 638.346707219183 \tabularnewline
0.47 & 39159.4430696507 & 631.299886117035 \tabularnewline
0.48 & 39283.099961653 & 632.484413401376 \tabularnewline
0.49 & 39407.2810088396 & 641.107827485211 \tabularnewline
0.5 & 39533.1814053453 & 655.604684052453 \tabularnewline
0.51 & 39661.6587364422 & 673.695787952101 \tabularnewline
0.52 & 39793.1575975048 & 692.650573455279 \tabularnewline
0.53 & 39927.6788947125 & 709.705328495258 \tabularnewline
0.54 & 40064.8118607169 & 722.345118783134 \tabularnewline
0.55 & 40203.8354405741 & 729.079124018562 \tabularnewline
0.56 & 40343.8820963198 & 729.454196461421 \tabularnewline
0.57 & 40484.14506927 & 724.382522498303 \tabularnewline
0.58 & 40624.102715707 & 715.97513740683 \tabularnewline
0.59 & 40763.7317624541 & 707.511880132617 \tabularnewline
0.6 & 40903.6840926664 & 703.162678619604 \tabularnewline
0.61 & 41045.4063837516 & 707.488705708714 \tabularnewline
0.62 & 41191.185998208 & 725.269970031296 \tabularnewline
0.63 & 41344.1089676601 & 760.758502675123 \tabularnewline
0.64 & 41507.9181501867 & 816.98847849003 \tabularnewline
0.65 & 41686.7651433543 & 895.35939241209 \tabularnewline
0.66 & 41884.8619925302 & 994.757957099848 \tabularnewline
0.67 & 42106.0595185162 & 1111.51484048912 \tabularnewline
0.68 & 42353.4051076937 & 1239.54737749656 \tabularnewline
0.69 & 42628.7560481693 & 1371.00368787321 \tabularnewline
0.7 & 42932.5340522619 & 1497.43184334832 \tabularnewline
0.71 & 43263.6929580207 & 1610.86748677142 \tabularnewline
0.72 & 43619.9316619338 & 1705.33181957882 \tabularnewline
0.73 & 43998.1249615655 & 1778.00978097821 \tabularnewline
0.74 & 44394.8828039407 & 1829.46901518383 \tabularnewline
0.75 & 44807.105144452 & 1863.30846695290 \tabularnewline
0.76 & 45232.3942302014 & 1884.96439942863 \tabularnewline
0.77 & 45669.2275075704 & 1899.86461259508 \tabularnewline
0.78 & 46116.8780206268 & 1911.96897667700 \tabularnewline
0.79 & 46575.1800832919 & 1922.71146488589 \tabularnewline
0.8 & 47044.3573642174 & 1931.51464005252 \tabularnewline
0.81 & 47525.2400990088 & 1937.52894009493 \tabularnewline
0.82 & 48020.2746586339 & 1942.97375000033 \tabularnewline
0.83 & 48535.7248529048 & 1958.07909553945 \tabularnewline
0.84 & 49085.2848151306 & 2007.36126006533 \tabularnewline
0.85 & 49694.821941336 & 2136.76035897265 \tabularnewline
0.86 & 50407.0106335496 & 2414.56137377384 \tabularnewline
0.87 & 51283.2517298579 & 2914.02331063676 \tabularnewline
0.88 & 52398.9961585056 & 3675.68233359191 \tabularnewline
0.89 & 53828.5533690422 & 4665.95981921584 \tabularnewline
0.9 & 55618.2374782254 & 5747.85606263165 \tabularnewline
0.91 & 57753.2106719335 & 6678.91652519396 \tabularnewline
0.92 & 60132.0540619603 & 7160.3735127486 \tabularnewline
0.93 & 62568.5002507975 & 6948.67866818071 \tabularnewline
0.94 & 64834.1274967515 & 5993.38067220517 \tabularnewline
0.95 & 66735.0754237334 & 4517.05607824373 \tabularnewline
0.96 & 68187.5835359703 & 2953.14008823585 \tabularnewline
0.97 & 69241.9598150867 & 1741.69004255949 \tabularnewline
0.98 & 70022.7412310593 & 1078.36872549606 \tabularnewline
0.99 & 70606.377507131 & 791.319098365767 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47938&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]7630.79846195369[/C][C]1380.75048407694[/C][/ROW]
[ROW][C]0.02[/C][C]8582.6405508836[/C][C]1679.72966123563[/C][/ROW]
[ROW][C]0.03[/C][C]9810.57236817252[/C][C]2680.20526119073[/C][/ROW]
[ROW][C]0.04[/C][C]11393.9415778781[/C][C]4133.20865479182[/C][/ROW]
[ROW][C]0.05[/C][C]13417.0585272875[/C][C]5728.21962929107[/C][/ROW]
[ROW][C]0.06[/C][C]15855.7405907465[/C][C]7067.19788488462[/C][/ROW]
[ROW][C]0.07[/C][C]18564.4062296950[/C][C]7785.36763570408[/C][/ROW]
[ROW][C]0.08[/C][C]21322.5951446551[/C][C]7727.11642455526[/C][/ROW]
[ROW][C]0.09[/C][C]23906.3834570508[/C][C]6997.30437491226[/C][/ROW]
[ROW][C]0.1[/C][C]26151.1375140845[/C][C]5871.0810773179[/C][/ROW]
[ROW][C]0.11[/C][C]27980.9727412698[/C][C]4650.04694817750[/C][/ROW]
[ROW][C]0.12[/C][C]29401.6494015623[/C][C]3555.35841408246[/C][/ROW]
[ROW][C]0.13[/C][C]30471.5220386212[/C][C]2692.20532666485[/C][/ROW]
[ROW][C]0.14[/C][C]31269.2884898390[/C][C]2070.38846850850[/C][/ROW]
[ROW][C]0.15[/C][C]31870.6574297051[/C][C]1647.48724915904[/C][/ROW]
[ROW][C]0.16[/C][C]32336.9843887968[/C][C]1368.07580089168[/C][/ROW]
[ROW][C]0.17[/C][C]32713.0688740558[/C][C]1185.87611903298[/C][/ROW]
[ROW][C]0.18[/C][C]33029.6892149754[/C][C]1069.12615766862[/C][/ROW]
[ROW][C]0.19[/C][C]33307.4442064123[/C][C]997.382984456934[/C][/ROW]
[ROW][C]0.2[/C][C]33560.1427237070[/C][C]957.443212785046[/C][/ROW]
[ROW][C]0.21[/C][C]33797.2415844719[/C][C]940.45824153695[/C][/ROW]
[ROW][C]0.22[/C][C]34025.4365963073[/C][C]941.009622662349[/C][/ROW]
[ROW][C]0.23[/C][C]34249.6551380685[/C][C]955.795592875115[/C][/ROW]
[ROW][C]0.24[/C][C]34473.6458463070[/C][C]982.752379574968[/C][/ROW]
[ROW][C]0.25[/C][C]34700.2840554082[/C][C]1019.90474990887[/C][/ROW]
[ROW][C]0.26[/C][C]34931.6729201047[/C][C]1064.25806134769[/C][/ROW]
[ROW][C]0.27[/C][C]35169.1155843932[/C][C]1112.14277322462[/C][/ROW]
[ROW][C]0.28[/C][C]35413.0383775539[/C][C]1158.72287165876[/C][/ROW]
[ROW][C]0.29[/C][C]35662.9395768946[/C][C]1199.25288426820[/C][/ROW]
[ROW][C]0.3[/C][C]35917.4173805141[/C][C]1229.25646253236[/C][/ROW]
[ROW][C]0.31[/C][C]36174.2998414674[/C][C]1245.28749858069[/C][/ROW]
[ROW][C]0.32[/C][C]36430.8682414939[/C][C]1245.32364511335[/C][/ROW]
[ROW][C]0.33[/C][C]36684.1418495954[/C][C]1228.94252926642[/C][/ROW]
[ROW][C]0.34[/C][C]36931.1801793308[/C][C]1197.05027169459[/C][/ROW]
[ROW][C]0.35[/C][C]37169.3586152413[/C][C]1151.94431490668[/C][/ROW]
[ROW][C]0.36[/C][C]37396.5819732284[/C][C]1097.00123444105[/C][/ROW]
[ROW][C]0.37[/C][C]37611.4146497515[/C][C]1035.76256906821[/C][/ROW]
[ROW][C]0.38[/C][C]37813.1220719053[/C][C]971.99863512988[/C][/ROW]
[ROW][C]0.39[/C][C]38001.6332023718[/C][C]909.089718697892[/C][/ROW]
[ROW][C]0.4[/C][C]38177.4453808385[/C][C]849.751343275894[/C][/ROW]
[ROW][C]0.41[/C][C]38341.4989040631[/C][C]795.972484829643[/C][/ROW]
[ROW][C]0.42[/C][C]38495.0485011013[/C][C]748.949112311629[/C][/ROW]
[ROW][C]0.43[/C][C]38639.5525931006[/C][C]709.369754884887[/C][/ROW]
[ROW][C]0.44[/C][C]38776.5907249319[/C][C]677.582875566677[/C][/ROW]
[ROW][C]0.45[/C][C]38907.8077561528[/C][C]653.806056399393[/C][/ROW]
[ROW][C]0.46[/C][C]39034.8736716042[/C][C]638.346707219183[/C][/ROW]
[ROW][C]0.47[/C][C]39159.4430696507[/C][C]631.299886117035[/C][/ROW]
[ROW][C]0.48[/C][C]39283.099961653[/C][C]632.484413401376[/C][/ROW]
[ROW][C]0.49[/C][C]39407.2810088396[/C][C]641.107827485211[/C][/ROW]
[ROW][C]0.5[/C][C]39533.1814053453[/C][C]655.604684052453[/C][/ROW]
[ROW][C]0.51[/C][C]39661.6587364422[/C][C]673.695787952101[/C][/ROW]
[ROW][C]0.52[/C][C]39793.1575975048[/C][C]692.650573455279[/C][/ROW]
[ROW][C]0.53[/C][C]39927.6788947125[/C][C]709.705328495258[/C][/ROW]
[ROW][C]0.54[/C][C]40064.8118607169[/C][C]722.345118783134[/C][/ROW]
[ROW][C]0.55[/C][C]40203.8354405741[/C][C]729.079124018562[/C][/ROW]
[ROW][C]0.56[/C][C]40343.8820963198[/C][C]729.454196461421[/C][/ROW]
[ROW][C]0.57[/C][C]40484.14506927[/C][C]724.382522498303[/C][/ROW]
[ROW][C]0.58[/C][C]40624.102715707[/C][C]715.97513740683[/C][/ROW]
[ROW][C]0.59[/C][C]40763.7317624541[/C][C]707.511880132617[/C][/ROW]
[ROW][C]0.6[/C][C]40903.6840926664[/C][C]703.162678619604[/C][/ROW]
[ROW][C]0.61[/C][C]41045.4063837516[/C][C]707.488705708714[/C][/ROW]
[ROW][C]0.62[/C][C]41191.185998208[/C][C]725.269970031296[/C][/ROW]
[ROW][C]0.63[/C][C]41344.1089676601[/C][C]760.758502675123[/C][/ROW]
[ROW][C]0.64[/C][C]41507.9181501867[/C][C]816.98847849003[/C][/ROW]
[ROW][C]0.65[/C][C]41686.7651433543[/C][C]895.35939241209[/C][/ROW]
[ROW][C]0.66[/C][C]41884.8619925302[/C][C]994.757957099848[/C][/ROW]
[ROW][C]0.67[/C][C]42106.0595185162[/C][C]1111.51484048912[/C][/ROW]
[ROW][C]0.68[/C][C]42353.4051076937[/C][C]1239.54737749656[/C][/ROW]
[ROW][C]0.69[/C][C]42628.7560481693[/C][C]1371.00368787321[/C][/ROW]
[ROW][C]0.7[/C][C]42932.5340522619[/C][C]1497.43184334832[/C][/ROW]
[ROW][C]0.71[/C][C]43263.6929580207[/C][C]1610.86748677142[/C][/ROW]
[ROW][C]0.72[/C][C]43619.9316619338[/C][C]1705.33181957882[/C][/ROW]
[ROW][C]0.73[/C][C]43998.1249615655[/C][C]1778.00978097821[/C][/ROW]
[ROW][C]0.74[/C][C]44394.8828039407[/C][C]1829.46901518383[/C][/ROW]
[ROW][C]0.75[/C][C]44807.105144452[/C][C]1863.30846695290[/C][/ROW]
[ROW][C]0.76[/C][C]45232.3942302014[/C][C]1884.96439942863[/C][/ROW]
[ROW][C]0.77[/C][C]45669.2275075704[/C][C]1899.86461259508[/C][/ROW]
[ROW][C]0.78[/C][C]46116.8780206268[/C][C]1911.96897667700[/C][/ROW]
[ROW][C]0.79[/C][C]46575.1800832919[/C][C]1922.71146488589[/C][/ROW]
[ROW][C]0.8[/C][C]47044.3573642174[/C][C]1931.51464005252[/C][/ROW]
[ROW][C]0.81[/C][C]47525.2400990088[/C][C]1937.52894009493[/C][/ROW]
[ROW][C]0.82[/C][C]48020.2746586339[/C][C]1942.97375000033[/C][/ROW]
[ROW][C]0.83[/C][C]48535.7248529048[/C][C]1958.07909553945[/C][/ROW]
[ROW][C]0.84[/C][C]49085.2848151306[/C][C]2007.36126006533[/C][/ROW]
[ROW][C]0.85[/C][C]49694.821941336[/C][C]2136.76035897265[/C][/ROW]
[ROW][C]0.86[/C][C]50407.0106335496[/C][C]2414.56137377384[/C][/ROW]
[ROW][C]0.87[/C][C]51283.2517298579[/C][C]2914.02331063676[/C][/ROW]
[ROW][C]0.88[/C][C]52398.9961585056[/C][C]3675.68233359191[/C][/ROW]
[ROW][C]0.89[/C][C]53828.5533690422[/C][C]4665.95981921584[/C][/ROW]
[ROW][C]0.9[/C][C]55618.2374782254[/C][C]5747.85606263165[/C][/ROW]
[ROW][C]0.91[/C][C]57753.2106719335[/C][C]6678.91652519396[/C][/ROW]
[ROW][C]0.92[/C][C]60132.0540619603[/C][C]7160.3735127486[/C][/ROW]
[ROW][C]0.93[/C][C]62568.5002507975[/C][C]6948.67866818071[/C][/ROW]
[ROW][C]0.94[/C][C]64834.1274967515[/C][C]5993.38067220517[/C][/ROW]
[ROW][C]0.95[/C][C]66735.0754237334[/C][C]4517.05607824373[/C][/ROW]
[ROW][C]0.96[/C][C]68187.5835359703[/C][C]2953.14008823585[/C][/ROW]
[ROW][C]0.97[/C][C]69241.9598150867[/C][C]1741.69004255949[/C][/ROW]
[ROW][C]0.98[/C][C]70022.7412310593[/C][C]1078.36872549606[/C][/ROW]
[ROW][C]0.99[/C][C]70606.377507131[/C][C]791.319098365767[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47938&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47938&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
0.017630.798461953691380.75048407694
0.028582.64055088361679.72966123563
0.039810.572368172522680.20526119073
0.0411393.94157787814133.20865479182
0.0513417.05852728755728.21962929107
0.0615855.74059074657067.19788488462
0.0718564.40622969507785.36763570408
0.0821322.59514465517727.11642455526
0.0923906.38345705086997.30437491226
0.126151.13751408455871.0810773179
0.1127980.97274126984650.04694817750
0.1229401.64940156233555.35841408246
0.1330471.52203862122692.20532666485
0.1431269.28848983902070.38846850850
0.1531870.65742970511647.48724915904
0.1632336.98438879681368.07580089168
0.1732713.06887405581185.87611903298
0.1833029.68921497541069.12615766862
0.1933307.4442064123997.382984456934
0.233560.1427237070957.443212785046
0.2133797.2415844719940.45824153695
0.2234025.4365963073941.009622662349
0.2334249.6551380685955.795592875115
0.2434473.6458463070982.752379574968
0.2534700.28405540821019.90474990887
0.2634931.67292010471064.25806134769
0.2735169.11558439321112.14277322462
0.2835413.03837755391158.72287165876
0.2935662.93957689461199.25288426820
0.335917.41738051411229.25646253236
0.3136174.29984146741245.28749858069
0.3236430.86824149391245.32364511335
0.3336684.14184959541228.94252926642
0.3436931.18017933081197.05027169459
0.3537169.35861524131151.94431490668
0.3637396.58197322841097.00123444105
0.3737611.41464975151035.76256906821
0.3837813.1220719053971.99863512988
0.3938001.6332023718909.089718697892
0.438177.4453808385849.751343275894
0.4138341.4989040631795.972484829643
0.4238495.0485011013748.949112311629
0.4338639.5525931006709.369754884887
0.4438776.5907249319677.582875566677
0.4538907.8077561528653.806056399393
0.4639034.8736716042638.346707219183
0.4739159.4430696507631.299886117035
0.4839283.099961653632.484413401376
0.4939407.2810088396641.107827485211
0.539533.1814053453655.604684052453
0.5139661.6587364422673.695787952101
0.5239793.1575975048692.650573455279
0.5339927.6788947125709.705328495258
0.5440064.8118607169722.345118783134
0.5540203.8354405741729.079124018562
0.5640343.8820963198729.454196461421
0.5740484.14506927724.382522498303
0.5840624.102715707715.97513740683
0.5940763.7317624541707.511880132617
0.640903.6840926664703.162678619604
0.6141045.4063837516707.488705708714
0.6241191.185998208725.269970031296
0.6341344.1089676601760.758502675123
0.6441507.9181501867816.98847849003
0.6541686.7651433543895.35939241209
0.6641884.8619925302994.757957099848
0.6742106.05951851621111.51484048912
0.6842353.40510769371239.54737749656
0.6942628.75604816931371.00368787321
0.742932.53405226191497.43184334832
0.7143263.69295802071610.86748677142
0.7243619.93166193381705.33181957882
0.7343998.12496156551778.00978097821
0.7444394.88280394071829.46901518383
0.7544807.1051444521863.30846695290
0.7645232.39423020141884.96439942863
0.7745669.22750757041899.86461259508
0.7846116.87802062681911.96897667700
0.7946575.18008329191922.71146488589
0.847044.35736421741931.51464005252
0.8147525.24009900881937.52894009493
0.8248020.27465863391942.97375000033
0.8348535.72485290481958.07909553945
0.8449085.28481513062007.36126006533
0.8549694.8219413362136.76035897265
0.8650407.01063354962414.56137377384
0.8751283.25172985792914.02331063676
0.8852398.99615850563675.68233359191
0.8953828.55336904224665.95981921584
0.955618.23747822545747.85606263165
0.9157753.21067193356678.91652519396
0.9260132.05406196037160.3735127486
0.9362568.50025079756948.67866818071
0.9464834.12749675155993.38067220517
0.9566735.07542373344517.05607824373
0.9668187.58353597032953.14008823585
0.9769241.95981508671741.69004255949
0.9870022.74123105931078.36872549606
0.9970606.377507131791.319098365767


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')