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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 22 Feb 2012 04:58:04 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/22/t1329904760rmu44jo288ymxpg.htm/, Retrieved Mon, 06 May 2024 11:39:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163018, Retrieved Mon, 06 May 2024 11:39:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [percentielen (eig...] [2012-02-22 09:58:04] [e15deab13e19d5d27f52a3832c12141e] [Current]
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Dataseries X:
69116
41519
51321
38529
41547
52073
38401
40898
40439
41888
37898
8771
68184
50530
47221
41756
45633
48138
39486
39341
41117
41629
29722
7054
56676
34870
35117
30169
30936
35699
33228
27733
33666
35429
27438
8170
63410
38040
45389
37353
37024
50957
37994
36454
46080
43373
37395
10963
76058
50179
57452
47568
50050
50856
41992
39284
44521
43832
41153
17100




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=163018&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=163018&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163018&T=0

As an alternative you can also use a 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
0.017404.592647858371202.04723974809
0.028075.843918802721775.74206496861
0.039084.483712496162912.2325928532
0.0410460.76670710134367.12010810804
0.0512211.10341819075816.506021129
0.0614283.96694440986965.69056589628
0.0716569.39151118767623.38726285002
0.0818925.60768825257737.18036494081
0.0921213.80312239047379.52887431865
0.123325.59667161776700.6001331021
0.1125196.31429626045872.07972700787
0.1226804.49188952155042.35733058868
0.1328162.17690516014311.48529546747
0.1429301.61817156453725.43880696863
0.1530262.83188371293284.61718481061
0.1631084.55167769252961.15841529108
0.1731799.19671344622717.68622994184
0.1832431.24029972032521.18746144496
0.1932997.81964158252349.22755072027
0.233510.42410000572189.90562615584
0.2133976.78596624912039.26061115687
0.2234402.46320170331897.68134605335
0.2334791.91869112621767.28061675934
0.2435149.11276124881649.92594798177
0.2535477.73377620111546.11664777181
0.2635781.21952293711455.14281321961
0.2736062.70055372691375.18950799339
0.2836324.95291046311304.33246544816
0.2936570.4014262251240.84171928392
0.336801.17773194161183.8522950578
0.3137019.2140081721133.33056319055
0.3237226.34430798221089.91483603114
0.3337424.3868989831054.85378044733
0.3437615.18930661251029.29531676359
0.3537800.62848797811014.08267156229
0.3637982.56865877681009.59883603046
0.3738162.78682426671015.18022685564
0.3838342.88031969931029.43800633878
0.3938524.17184475641050.32185153015
0.438707.62630027941075.3400027273
0.4138893.79108307861101.48260930201
0.4239082.76814147531125.84888431007
0.4339274.22257728761145.74469846496
0.4439467.42917965441158.90460039607
0.4539661.3550816761163.55758410559
0.4639854.77374385611158.90250540314
0.4740046.40270167421144.8320672915
0.4840235.05505750511122.27949283107
0.4940419.79273231011093.21288943134
0.540600.06826983251060.35724746805
0.5140775.84176770571027.4012182835
0.5240947.6605085906998.463950837
0.5341116.6911905837978.027063923224
0.5441284.6982826334970.315964014889
0.5541453.9667750209978.993603921349
0.5641627.17311265211006.46619143265
0.5741807.2138862591053.36397058408
0.5841997.00726633911118.65088991844
0.5942199.28644660911199.66787786902
0.642416.40674383871292.69523276582
0.6142650.18780388131393.04055887624
0.6242901.80916863341495.92864285692
0.6343171.77125660221596.7728062708
0.6443459.9251189331691.62958460375
0.6543765.5642257521777.4150014282
0.6644087.56155151721852.3143651596
0.6744424.52715568971915.63499676651
0.6844774.95704894551967.71941407077
0.6945137.34477732182009.6264583059
0.745510.23355674672042.62061821567
0.7145892.19876546582067.68337709943
0.7246281.7669734312084.92684720382
0.7346677.29631218252093.56557987607
0.7447076.86092570342091.6247712688
0.7547478.19605532352076.53942101787
0.7647878.76648149482045.7888869026
0.7748276.01646676081997.88005151378
0.7848667.84185871751933.60954302499
0.7949053.29396355811857.20910652662
0.849433.48165799881777.56964786296
0.8149812.58730455481709.06319874574
0.8250198.86131391231672.12939466033
0.8350605.42129252491691.91088847739
0.8451050.66796783061794.17323961352
0.8551558.15082263661998.05185856922
0.8652155.76736662832310.41702207944
0.8752874.2349567562725.25090003134
0.8853744.78984004223225.57971696434
0.8954796.02124035323785.20630270222
0.956049.71364537534367.76430375905
0.9157515.81221287644923.21311434486
0.9259187.58792834085383.42081213153
0.9361040.03200585415663.34090047078
0.9463036.55825869245680.32774703657
0.9565147.64071945825403.70281426948
0.9667373.50178801224940.74535647807
0.9769738.18286008924632.53622468733
0.9872203.51888197744945.74269230386
0.9974500.83570552195894.98679768462

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7404.59264785837 & 1202.04723974809 \tabularnewline
0.02 & 8075.84391880272 & 1775.74206496861 \tabularnewline
0.03 & 9084.48371249616 & 2912.2325928532 \tabularnewline
0.04 & 10460.7667071013 & 4367.12010810804 \tabularnewline
0.05 & 12211.1034181907 & 5816.506021129 \tabularnewline
0.06 & 14283.9669444098 & 6965.69056589628 \tabularnewline
0.07 & 16569.3915111876 & 7623.38726285002 \tabularnewline
0.08 & 18925.6076882525 & 7737.18036494081 \tabularnewline
0.09 & 21213.8031223904 & 7379.52887431865 \tabularnewline
0.1 & 23325.5966716177 & 6700.6001331021 \tabularnewline
0.11 & 25196.3142962604 & 5872.07972700787 \tabularnewline
0.12 & 26804.4918895215 & 5042.35733058868 \tabularnewline
0.13 & 28162.1769051601 & 4311.48529546747 \tabularnewline
0.14 & 29301.6181715645 & 3725.43880696863 \tabularnewline
0.15 & 30262.8318837129 & 3284.61718481061 \tabularnewline
0.16 & 31084.5516776925 & 2961.15841529108 \tabularnewline
0.17 & 31799.1967134462 & 2717.68622994184 \tabularnewline
0.18 & 32431.2402997203 & 2521.18746144496 \tabularnewline
0.19 & 32997.8196415825 & 2349.22755072027 \tabularnewline
0.2 & 33510.4241000057 & 2189.90562615584 \tabularnewline
0.21 & 33976.7859662491 & 2039.26061115687 \tabularnewline
0.22 & 34402.4632017033 & 1897.68134605335 \tabularnewline
0.23 & 34791.9186911262 & 1767.28061675934 \tabularnewline
0.24 & 35149.1127612488 & 1649.92594798177 \tabularnewline
0.25 & 35477.7337762011 & 1546.11664777181 \tabularnewline
0.26 & 35781.2195229371 & 1455.14281321961 \tabularnewline
0.27 & 36062.7005537269 & 1375.18950799339 \tabularnewline
0.28 & 36324.9529104631 & 1304.33246544816 \tabularnewline
0.29 & 36570.401426225 & 1240.84171928392 \tabularnewline
0.3 & 36801.1777319416 & 1183.8522950578 \tabularnewline
0.31 & 37019.214008172 & 1133.33056319055 \tabularnewline
0.32 & 37226.3443079822 & 1089.91483603114 \tabularnewline
0.33 & 37424.386898983 & 1054.85378044733 \tabularnewline
0.34 & 37615.1893066125 & 1029.29531676359 \tabularnewline
0.35 & 37800.6284879781 & 1014.08267156229 \tabularnewline
0.36 & 37982.5686587768 & 1009.59883603046 \tabularnewline
0.37 & 38162.7868242667 & 1015.18022685564 \tabularnewline
0.38 & 38342.8803196993 & 1029.43800633878 \tabularnewline
0.39 & 38524.1718447564 & 1050.32185153015 \tabularnewline
0.4 & 38707.6263002794 & 1075.3400027273 \tabularnewline
0.41 & 38893.7910830786 & 1101.48260930201 \tabularnewline
0.42 & 39082.7681414753 & 1125.84888431007 \tabularnewline
0.43 & 39274.2225772876 & 1145.74469846496 \tabularnewline
0.44 & 39467.4291796544 & 1158.90460039607 \tabularnewline
0.45 & 39661.355081676 & 1163.55758410559 \tabularnewline
0.46 & 39854.7737438561 & 1158.90250540314 \tabularnewline
0.47 & 40046.4027016742 & 1144.8320672915 \tabularnewline
0.48 & 40235.0550575051 & 1122.27949283107 \tabularnewline
0.49 & 40419.7927323101 & 1093.21288943134 \tabularnewline
0.5 & 40600.0682698325 & 1060.35724746805 \tabularnewline
0.51 & 40775.8417677057 & 1027.4012182835 \tabularnewline
0.52 & 40947.6605085906 & 998.463950837 \tabularnewline
0.53 & 41116.6911905837 & 978.027063923224 \tabularnewline
0.54 & 41284.6982826334 & 970.315964014889 \tabularnewline
0.55 & 41453.9667750209 & 978.993603921349 \tabularnewline
0.56 & 41627.1731126521 & 1006.46619143265 \tabularnewline
0.57 & 41807.213886259 & 1053.36397058408 \tabularnewline
0.58 & 41997.0072663391 & 1118.65088991844 \tabularnewline
0.59 & 42199.2864466091 & 1199.66787786902 \tabularnewline
0.6 & 42416.4067438387 & 1292.69523276582 \tabularnewline
0.61 & 42650.1878038813 & 1393.04055887624 \tabularnewline
0.62 & 42901.8091686334 & 1495.92864285692 \tabularnewline
0.63 & 43171.7712566022 & 1596.7728062708 \tabularnewline
0.64 & 43459.925118933 & 1691.62958460375 \tabularnewline
0.65 & 43765.564225752 & 1777.4150014282 \tabularnewline
0.66 & 44087.5615515172 & 1852.3143651596 \tabularnewline
0.67 & 44424.5271556897 & 1915.63499676651 \tabularnewline
0.68 & 44774.9570489455 & 1967.71941407077 \tabularnewline
0.69 & 45137.3447773218 & 2009.6264583059 \tabularnewline
0.7 & 45510.2335567467 & 2042.62061821567 \tabularnewline
0.71 & 45892.1987654658 & 2067.68337709943 \tabularnewline
0.72 & 46281.766973431 & 2084.92684720382 \tabularnewline
0.73 & 46677.2963121825 & 2093.56557987607 \tabularnewline
0.74 & 47076.8609257034 & 2091.6247712688 \tabularnewline
0.75 & 47478.1960553235 & 2076.53942101787 \tabularnewline
0.76 & 47878.7664814948 & 2045.7888869026 \tabularnewline
0.77 & 48276.0164667608 & 1997.88005151378 \tabularnewline
0.78 & 48667.8418587175 & 1933.60954302499 \tabularnewline
0.79 & 49053.2939635581 & 1857.20910652662 \tabularnewline
0.8 & 49433.4816579988 & 1777.56964786296 \tabularnewline
0.81 & 49812.5873045548 & 1709.06319874574 \tabularnewline
0.82 & 50198.8613139123 & 1672.12939466033 \tabularnewline
0.83 & 50605.4212925249 & 1691.91088847739 \tabularnewline
0.84 & 51050.6679678306 & 1794.17323961352 \tabularnewline
0.85 & 51558.1508226366 & 1998.05185856922 \tabularnewline
0.86 & 52155.7673666283 & 2310.41702207944 \tabularnewline
0.87 & 52874.234956756 & 2725.25090003134 \tabularnewline
0.88 & 53744.7898400422 & 3225.57971696434 \tabularnewline
0.89 & 54796.0212403532 & 3785.20630270222 \tabularnewline
0.9 & 56049.7136453753 & 4367.76430375905 \tabularnewline
0.91 & 57515.8122128764 & 4923.21311434486 \tabularnewline
0.92 & 59187.5879283408 & 5383.42081213153 \tabularnewline
0.93 & 61040.0320058541 & 5663.34090047078 \tabularnewline
0.94 & 63036.5582586924 & 5680.32774703657 \tabularnewline
0.95 & 65147.6407194582 & 5403.70281426948 \tabularnewline
0.96 & 67373.5017880122 & 4940.74535647807 \tabularnewline
0.97 & 69738.1828600892 & 4632.53622468733 \tabularnewline
0.98 & 72203.5188819774 & 4945.74269230386 \tabularnewline
0.99 & 74500.8357055219 & 5894.98679768462 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163018&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]7404.59264785837[/C][C]1202.04723974809[/C][/ROW]
[ROW][C]0.02[/C][C]8075.84391880272[/C][C]1775.74206496861[/C][/ROW]
[ROW][C]0.03[/C][C]9084.48371249616[/C][C]2912.2325928532[/C][/ROW]
[ROW][C]0.04[/C][C]10460.7667071013[/C][C]4367.12010810804[/C][/ROW]
[ROW][C]0.05[/C][C]12211.1034181907[/C][C]5816.506021129[/C][/ROW]
[ROW][C]0.06[/C][C]14283.9669444098[/C][C]6965.69056589628[/C][/ROW]
[ROW][C]0.07[/C][C]16569.3915111876[/C][C]7623.38726285002[/C][/ROW]
[ROW][C]0.08[/C][C]18925.6076882525[/C][C]7737.18036494081[/C][/ROW]
[ROW][C]0.09[/C][C]21213.8031223904[/C][C]7379.52887431865[/C][/ROW]
[ROW][C]0.1[/C][C]23325.5966716177[/C][C]6700.6001331021[/C][/ROW]
[ROW][C]0.11[/C][C]25196.3142962604[/C][C]5872.07972700787[/C][/ROW]
[ROW][C]0.12[/C][C]26804.4918895215[/C][C]5042.35733058868[/C][/ROW]
[ROW][C]0.13[/C][C]28162.1769051601[/C][C]4311.48529546747[/C][/ROW]
[ROW][C]0.14[/C][C]29301.6181715645[/C][C]3725.43880696863[/C][/ROW]
[ROW][C]0.15[/C][C]30262.8318837129[/C][C]3284.61718481061[/C][/ROW]
[ROW][C]0.16[/C][C]31084.5516776925[/C][C]2961.15841529108[/C][/ROW]
[ROW][C]0.17[/C][C]31799.1967134462[/C][C]2717.68622994184[/C][/ROW]
[ROW][C]0.18[/C][C]32431.2402997203[/C][C]2521.18746144496[/C][/ROW]
[ROW][C]0.19[/C][C]32997.8196415825[/C][C]2349.22755072027[/C][/ROW]
[ROW][C]0.2[/C][C]33510.4241000057[/C][C]2189.90562615584[/C][/ROW]
[ROW][C]0.21[/C][C]33976.7859662491[/C][C]2039.26061115687[/C][/ROW]
[ROW][C]0.22[/C][C]34402.4632017033[/C][C]1897.68134605335[/C][/ROW]
[ROW][C]0.23[/C][C]34791.9186911262[/C][C]1767.28061675934[/C][/ROW]
[ROW][C]0.24[/C][C]35149.1127612488[/C][C]1649.92594798177[/C][/ROW]
[ROW][C]0.25[/C][C]35477.7337762011[/C][C]1546.11664777181[/C][/ROW]
[ROW][C]0.26[/C][C]35781.2195229371[/C][C]1455.14281321961[/C][/ROW]
[ROW][C]0.27[/C][C]36062.7005537269[/C][C]1375.18950799339[/C][/ROW]
[ROW][C]0.28[/C][C]36324.9529104631[/C][C]1304.33246544816[/C][/ROW]
[ROW][C]0.29[/C][C]36570.401426225[/C][C]1240.84171928392[/C][/ROW]
[ROW][C]0.3[/C][C]36801.1777319416[/C][C]1183.8522950578[/C][/ROW]
[ROW][C]0.31[/C][C]37019.214008172[/C][C]1133.33056319055[/C][/ROW]
[ROW][C]0.32[/C][C]37226.3443079822[/C][C]1089.91483603114[/C][/ROW]
[ROW][C]0.33[/C][C]37424.386898983[/C][C]1054.85378044733[/C][/ROW]
[ROW][C]0.34[/C][C]37615.1893066125[/C][C]1029.29531676359[/C][/ROW]
[ROW][C]0.35[/C][C]37800.6284879781[/C][C]1014.08267156229[/C][/ROW]
[ROW][C]0.36[/C][C]37982.5686587768[/C][C]1009.59883603046[/C][/ROW]
[ROW][C]0.37[/C][C]38162.7868242667[/C][C]1015.18022685564[/C][/ROW]
[ROW][C]0.38[/C][C]38342.8803196993[/C][C]1029.43800633878[/C][/ROW]
[ROW][C]0.39[/C][C]38524.1718447564[/C][C]1050.32185153015[/C][/ROW]
[ROW][C]0.4[/C][C]38707.6263002794[/C][C]1075.3400027273[/C][/ROW]
[ROW][C]0.41[/C][C]38893.7910830786[/C][C]1101.48260930201[/C][/ROW]
[ROW][C]0.42[/C][C]39082.7681414753[/C][C]1125.84888431007[/C][/ROW]
[ROW][C]0.43[/C][C]39274.2225772876[/C][C]1145.74469846496[/C][/ROW]
[ROW][C]0.44[/C][C]39467.4291796544[/C][C]1158.90460039607[/C][/ROW]
[ROW][C]0.45[/C][C]39661.355081676[/C][C]1163.55758410559[/C][/ROW]
[ROW][C]0.46[/C][C]39854.7737438561[/C][C]1158.90250540314[/C][/ROW]
[ROW][C]0.47[/C][C]40046.4027016742[/C][C]1144.8320672915[/C][/ROW]
[ROW][C]0.48[/C][C]40235.0550575051[/C][C]1122.27949283107[/C][/ROW]
[ROW][C]0.49[/C][C]40419.7927323101[/C][C]1093.21288943134[/C][/ROW]
[ROW][C]0.5[/C][C]40600.0682698325[/C][C]1060.35724746805[/C][/ROW]
[ROW][C]0.51[/C][C]40775.8417677057[/C][C]1027.4012182835[/C][/ROW]
[ROW][C]0.52[/C][C]40947.6605085906[/C][C]998.463950837[/C][/ROW]
[ROW][C]0.53[/C][C]41116.6911905837[/C][C]978.027063923224[/C][/ROW]
[ROW][C]0.54[/C][C]41284.6982826334[/C][C]970.315964014889[/C][/ROW]
[ROW][C]0.55[/C][C]41453.9667750209[/C][C]978.993603921349[/C][/ROW]
[ROW][C]0.56[/C][C]41627.1731126521[/C][C]1006.46619143265[/C][/ROW]
[ROW][C]0.57[/C][C]41807.213886259[/C][C]1053.36397058408[/C][/ROW]
[ROW][C]0.58[/C][C]41997.0072663391[/C][C]1118.65088991844[/C][/ROW]
[ROW][C]0.59[/C][C]42199.2864466091[/C][C]1199.66787786902[/C][/ROW]
[ROW][C]0.6[/C][C]42416.4067438387[/C][C]1292.69523276582[/C][/ROW]
[ROW][C]0.61[/C][C]42650.1878038813[/C][C]1393.04055887624[/C][/ROW]
[ROW][C]0.62[/C][C]42901.8091686334[/C][C]1495.92864285692[/C][/ROW]
[ROW][C]0.63[/C][C]43171.7712566022[/C][C]1596.7728062708[/C][/ROW]
[ROW][C]0.64[/C][C]43459.925118933[/C][C]1691.62958460375[/C][/ROW]
[ROW][C]0.65[/C][C]43765.564225752[/C][C]1777.4150014282[/C][/ROW]
[ROW][C]0.66[/C][C]44087.5615515172[/C][C]1852.3143651596[/C][/ROW]
[ROW][C]0.67[/C][C]44424.5271556897[/C][C]1915.63499676651[/C][/ROW]
[ROW][C]0.68[/C][C]44774.9570489455[/C][C]1967.71941407077[/C][/ROW]
[ROW][C]0.69[/C][C]45137.3447773218[/C][C]2009.6264583059[/C][/ROW]
[ROW][C]0.7[/C][C]45510.2335567467[/C][C]2042.62061821567[/C][/ROW]
[ROW][C]0.71[/C][C]45892.1987654658[/C][C]2067.68337709943[/C][/ROW]
[ROW][C]0.72[/C][C]46281.766973431[/C][C]2084.92684720382[/C][/ROW]
[ROW][C]0.73[/C][C]46677.2963121825[/C][C]2093.56557987607[/C][/ROW]
[ROW][C]0.74[/C][C]47076.8609257034[/C][C]2091.6247712688[/C][/ROW]
[ROW][C]0.75[/C][C]47478.1960553235[/C][C]2076.53942101787[/C][/ROW]
[ROW][C]0.76[/C][C]47878.7664814948[/C][C]2045.7888869026[/C][/ROW]
[ROW][C]0.77[/C][C]48276.0164667608[/C][C]1997.88005151378[/C][/ROW]
[ROW][C]0.78[/C][C]48667.8418587175[/C][C]1933.60954302499[/C][/ROW]
[ROW][C]0.79[/C][C]49053.2939635581[/C][C]1857.20910652662[/C][/ROW]
[ROW][C]0.8[/C][C]49433.4816579988[/C][C]1777.56964786296[/C][/ROW]
[ROW][C]0.81[/C][C]49812.5873045548[/C][C]1709.06319874574[/C][/ROW]
[ROW][C]0.82[/C][C]50198.8613139123[/C][C]1672.12939466033[/C][/ROW]
[ROW][C]0.83[/C][C]50605.4212925249[/C][C]1691.91088847739[/C][/ROW]
[ROW][C]0.84[/C][C]51050.6679678306[/C][C]1794.17323961352[/C][/ROW]
[ROW][C]0.85[/C][C]51558.1508226366[/C][C]1998.05185856922[/C][/ROW]
[ROW][C]0.86[/C][C]52155.7673666283[/C][C]2310.41702207944[/C][/ROW]
[ROW][C]0.87[/C][C]52874.234956756[/C][C]2725.25090003134[/C][/ROW]
[ROW][C]0.88[/C][C]53744.7898400422[/C][C]3225.57971696434[/C][/ROW]
[ROW][C]0.89[/C][C]54796.0212403532[/C][C]3785.20630270222[/C][/ROW]
[ROW][C]0.9[/C][C]56049.7136453753[/C][C]4367.76430375905[/C][/ROW]
[ROW][C]0.91[/C][C]57515.8122128764[/C][C]4923.21311434486[/C][/ROW]
[ROW][C]0.92[/C][C]59187.5879283408[/C][C]5383.42081213153[/C][/ROW]
[ROW][C]0.93[/C][C]61040.0320058541[/C][C]5663.34090047078[/C][/ROW]
[ROW][C]0.94[/C][C]63036.5582586924[/C][C]5680.32774703657[/C][/ROW]
[ROW][C]0.95[/C][C]65147.6407194582[/C][C]5403.70281426948[/C][/ROW]
[ROW][C]0.96[/C][C]67373.5017880122[/C][C]4940.74535647807[/C][/ROW]
[ROW][C]0.97[/C][C]69738.1828600892[/C][C]4632.53622468733[/C][/ROW]
[ROW][C]0.98[/C][C]72203.5188819774[/C][C]4945.74269230386[/C][/ROW]
[ROW][C]0.99[/C][C]74500.8357055219[/C][C]5894.98679768462[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163018&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163018&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.017404.592647858371202.04723974809
0.028075.843918802721775.74206496861
0.039084.483712496162912.2325928532
0.0410460.76670710134367.12010810804
0.0512211.10341819075816.506021129
0.0614283.96694440986965.69056589628
0.0716569.39151118767623.38726285002
0.0818925.60768825257737.18036494081
0.0921213.80312239047379.52887431865
0.123325.59667161776700.6001331021
0.1125196.31429626045872.07972700787
0.1226804.49188952155042.35733058868
0.1328162.17690516014311.48529546747
0.1429301.61817156453725.43880696863
0.1530262.83188371293284.61718481061
0.1631084.55167769252961.15841529108
0.1731799.19671344622717.68622994184
0.1832431.24029972032521.18746144496
0.1932997.81964158252349.22755072027
0.233510.42410000572189.90562615584
0.2133976.78596624912039.26061115687
0.2234402.46320170331897.68134605335
0.2334791.91869112621767.28061675934
0.2435149.11276124881649.92594798177
0.2535477.73377620111546.11664777181
0.2635781.21952293711455.14281321961
0.2736062.70055372691375.18950799339
0.2836324.95291046311304.33246544816
0.2936570.4014262251240.84171928392
0.336801.17773194161183.8522950578
0.3137019.2140081721133.33056319055
0.3237226.34430798221089.91483603114
0.3337424.3868989831054.85378044733
0.3437615.18930661251029.29531676359
0.3537800.62848797811014.08267156229
0.3637982.56865877681009.59883603046
0.3738162.78682426671015.18022685564
0.3838342.88031969931029.43800633878
0.3938524.17184475641050.32185153015
0.438707.62630027941075.3400027273
0.4138893.79108307861101.48260930201
0.4239082.76814147531125.84888431007
0.4339274.22257728761145.74469846496
0.4439467.42917965441158.90460039607
0.4539661.3550816761163.55758410559
0.4639854.77374385611158.90250540314
0.4740046.40270167421144.8320672915
0.4840235.05505750511122.27949283107
0.4940419.79273231011093.21288943134
0.540600.06826983251060.35724746805
0.5140775.84176770571027.4012182835
0.5240947.6605085906998.463950837
0.5341116.6911905837978.027063923224
0.5441284.6982826334970.315964014889
0.5541453.9667750209978.993603921349
0.5641627.17311265211006.46619143265
0.5741807.2138862591053.36397058408
0.5841997.00726633911118.65088991844
0.5942199.28644660911199.66787786902
0.642416.40674383871292.69523276582
0.6142650.18780388131393.04055887624
0.6242901.80916863341495.92864285692
0.6343171.77125660221596.7728062708
0.6443459.9251189331691.62958460375
0.6543765.5642257521777.4150014282
0.6644087.56155151721852.3143651596
0.6744424.52715568971915.63499676651
0.6844774.95704894551967.71941407077
0.6945137.34477732182009.6264583059
0.745510.23355674672042.62061821567
0.7145892.19876546582067.68337709943
0.7246281.7669734312084.92684720382
0.7346677.29631218252093.56557987607
0.7447076.86092570342091.6247712688
0.7547478.19605532352076.53942101787
0.7647878.76648149482045.7888869026
0.7748276.01646676081997.88005151378
0.7848667.84185871751933.60954302499
0.7949053.29396355811857.20910652662
0.849433.48165799881777.56964786296
0.8149812.58730455481709.06319874574
0.8250198.86131391231672.12939466033
0.8350605.42129252491691.91088847739
0.8451050.66796783061794.17323961352
0.8551558.15082263661998.05185856922
0.8652155.76736662832310.41702207944
0.8752874.2349567562725.25090003134
0.8853744.78984004223225.57971696434
0.8954796.02124035323785.20630270222
0.956049.71364537534367.76430375905
0.9157515.81221287644923.21311434486
0.9259187.58792834085383.42081213153
0.9361040.03200585415663.34090047078
0.9463036.55825869245680.32774703657
0.9565147.64071945825403.70281426948
0.9667373.50178801224940.74535647807
0.9769738.18286008924632.53622468733
0.9872203.51888197744945.74269230386
0.9974500.83570552195894.98679768462



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')