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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 08 Mar 2010 06:52:45 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/08/t1268056524yltywvvdl0hliv3.htm/, Retrieved Fri, 28 Jan 2022 09:18:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74134, Retrieved Fri, 28 Jan 2022 09:18:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W41
Estimated Impact120
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Iko - Paper - Ish...] [2010-03-08 13:52:45] [032b0bef6ff10258e637998f9273e57a] [Current]
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Dataseries X:
20
25
15
15
25
25
25
21
30
25
20
40
13
30
25
20
25
20
25
20
20
15
15
12
20
5
20
15
25
22
20
22
25
20
20
35
30
25
20
20
20
25
25
15
20
35
25
25
30
23
10
22
25
25
22
30
20
25
25
22
25
25
25
22
25
12
18
20
20
22
30
25
22
20
50
30
25
20
30
22
25
30
22
25
22
22
25
25
25
20
22
15
20
30
20
25
30
35
22
12
30
15
10
30
9
25
20
20
35
25
35
30
12
25
15
25
25
20
20
6
15
40
20
40
25
25
20
15
15
22
24
22
20
25
25
25
35
40
20
22
22
20
25
25
18
25
20
25
30
20
22
35
22
25
25
25
25
22
23
35
15
25
18
22
25
25
28
30
20
25
25
30
22
30
10
10
25
20
22
25
25
15
22
25
25
28
22
30
25
20
25
25
20
30
20
30
50
19
20
28
20
25
35
25
25
15
16
20
20
25
30
20
25
25
25
20
20
25
25
30
22
20
25
25
18
18
20
25
25
30
25
20
25
20
20
20
22
18
22
20
15
25
25
20
25
15
22
25
25
15
12
25
30
22
15
22
25
12
18
30
25
25
40
24
25
15
25
20
25
25
25
20
30
20
25
30
22
25
25
25
50
19
50
25
35
20
20
20
20
20
25
25
25
20
20
20
20
25
18
25
22
22
30
30
8
20
25
30
50
22
20
10
25
25
25
25
18
25
20
25
30
18
20
25
22
22
20
20
25
20
20
20
20
25
20
10
20
25
30
25
50
30
30
50
15
25
25
22
20
22
30
25
18
22
22
30
40
25
20
10
20
9
15
20
15
20
30
12
15
12
20
15
12
25
20
25
25
25
30
20
25
15
15
22
10
15
10
20
25
20
20
38
20
20
20
40
25
25
30
25
10
20
25
12
15
25
20
22
22
20
25
25
25
15
40
20
20
16
25
15
20
25
20
30
50
20
25
20
30
30
25
25
12
25
25
25
20
20
20
15
20
25
15
25
50
30
20
20
25
12
15
20
20
35
22
15
18
30
22
12
12
20
20
15
25
15
20
20
25
18
30
20
25
25
25
20
20
25
20
22
15
15
22
20
10
25
20
20
15
12
20
5
20
15
15
25
25
25
15
25
22
25
20
18
22
25
35
25
25
25
35
30
22
30
50
15
25
24
20
25
25
25
12
15
22
25
25
25
25
15
20
20
15
35
30
20
22
65
20
25
22
20
25
25
20
25
15
20
12
15
10
25
15
30
35
25
25
25
25
25
40
40
25
25
20
25
25
22
25
30
25
25
30
25
25
30
25
25
20
22
22
20
25
22
25
22
40
25
25
25
22
20
35
20
35
25
22
25
25
25
25
25
40
25
30
25
20
25
25
30
22
22
20
15
15
25
25
20
20
15
25
15
20
22
25
15
15
18
5
15
25
18
40
25
25
20
30
20
25
25
25
22
22
25
25
30
25
25
25
25
20
20
25
25
25
25
20
30
25
22
30
20
20
30
25
25
30
20
25
25
24
25
30
18
15
22
22
25
22
22
25
15
20
22
18
35
20
20
20
25
25
30
15
25
22
26
25
20
25
25
25
22
25
25
20
22
30
15
30
25
20
25
25
35
22
20
25
20
20
18
20
22
25
10
20
25
20
20
30
25
20
15
20
25
10
20
25
22
22
25
25
15
25
20
10
25
16
25
35
25
15
25
25
30
25
10
22
20
25
20
20
25
22
18
30
19
25
20
25
20
25
20
22
12
30
12
22
25
25
25
25
30
30
10
22
22
25
20
22
20
25
20
15
25
20
25
20
30
15
40
25
20
22
22
30
20
40
20
25
20
25
20
50
50
25
25
40
30
22
30
20
25
25
30
25
25
20
18
18
28
25
22
15
40
40
12
12
18
12
25
26
18
25
22
15
25
15
15
15
25
15
12
22
20
20
25
20
12
9
15
12
15
25
20
20
15
15
30
21
25
22
22
50
15
25
15
25
22
18
50
20
50
20
20
30
25
20
22
25
50
40
25
25
25
25
30
40
25
30
20




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74134&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]4 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=74134&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74134&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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.019.481460198747260.531630278100433
0.0210.11545728519320.260751432963488
0.0311.26567174784510.743137201103508
0.0411.99307648147600.169937179354567
0.0512.56952089122410.844603824618881
0.0614.00478443276211.06745982603596
0.0714.86064864645950.270440563649872
0.0814.99383942876920.0170911974287082
0.0914.99991072483510.000322280284208285
0.115.00007139374610.000330841003470901
0.1115.00253827858880.00915781008035258
0.1215.03790932432640.10173521514613
0.1315.26279289857350.486870345440372
0.1415.93570826062121.07008977335907
0.1516.94784722434971.18642295313764
0.1617.83963978460490.902279677134083
0.1718.54954234200810.845336963989992
0.1819.21657804741270.774137280588534
0.1919.70883664435590.444517348134247
0.219.93090219759930.146281932400588
0.2119.98981180703890.027716502034098
0.2219.99907318628230.00306931187836075
0.2319.99994788738130.000217638281452243
0.2419.99999817830980
0.2519.99999996010870
0.2619.99999999944830
0.2719.99999999999510
0.2820.00000000000040
0.2920.00000000003960
0.320.00000000243060
0.3120.00000009820240
0.3220.00000263581962.79770192495014e-05
0.3320.0000474638860.000223437167533337
0.3420.00057925147930.00217850936213498
0.3520.00484364569820.0152774948701164
0.3620.02809881494590.0721703839778818
0.3720.11481251206090.231259839467091
0.3820.33698006367460.50414124812798
0.3920.72978569191420.750805418023201
0.421.21087483190720.766741332207266
0.4121.62036795182850.538667594485544
0.4221.86328078725170.261115168091279
0.4321.9639438978190.0875998267107232
0.4421.99322250732430.0207091710170601
0.4522.00004691628750.00651503412376393
0.4622.00729253252840.0229424831812928
0.4722.03985354540050.100903410584135
0.4822.15653563888980.315396592347283
0.4922.45381777818680.692683550731097
0.522.99177021477981.07013689280987
0.5123.68382335101801.16373117950554
0.5224.31708378347860.891102945139437
0.5324.72925995767640.480376083881966
0.5424.91999252884510.182202372242960
0.5524.98267716247840.0485757220106025
0.5624.99728595069130.00909482966988538
0.5724.99969520568760.00116909759874711
0.5824.99997565346740.000114011364557698
0.5924.9999986259170
0.624.99999994553770
0.6124.99999999849280
0.6224.99999999997100
0.6324.99999999999960
0.64250
0.65250
0.66250
0.67250
0.68250
0.6925.00000000000000
0.7250
0.71250
0.72250
0.73250
0.74250
0.7525.00000000000380
0.7625.00000000054500
0.7725.00000004839860
0.7825.00000265333454.13115236801675e-05
0.7925.00008893914280.000333244758548651
0.825.00180702541750.00600848841895861
0.8125.02210490027560.0598605898389705
0.8225.16237817304580.340635204146770
0.8325.72041503287641.08007153050782
0.8426.97473555641351.86154240340784
0.8528.53236855662451.69252291226154
0.8629.57198915649060.783007720563933
0.8729.93245509023480.176489965422778
0.8829.99472039398500.0184179903525294
0.8929.99981291992320.00082386867908888
0.930.00014886562620.000560591507156429
0.9130.00860764135580.0245599382657843
0.9230.17910352828370.366849581682616
0.9331.3179677533241.59817222903516
0.9433.64150315412381.77957465776319
0.9535.47741364078961.28406811724589
0.9638.12332107480051.93376264414196
0.9740.0007452924610.595666999378491
0.9844.3401085892753.92875089817246
0.9949.87913785502830.372698867108725

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.48146019874726 & 0.531630278100433 \tabularnewline
0.02 & 10.1154572851932 & 0.260751432963488 \tabularnewline
0.03 & 11.2656717478451 & 0.743137201103508 \tabularnewline
0.04 & 11.9930764814760 & 0.169937179354567 \tabularnewline
0.05 & 12.5695208912241 & 0.844603824618881 \tabularnewline
0.06 & 14.0047844327621 & 1.06745982603596 \tabularnewline
0.07 & 14.8606486464595 & 0.270440563649872 \tabularnewline
0.08 & 14.9938394287692 & 0.0170911974287082 \tabularnewline
0.09 & 14.9999107248351 & 0.000322280284208285 \tabularnewline
0.1 & 15.0000713937461 & 0.000330841003470901 \tabularnewline
0.11 & 15.0025382785888 & 0.00915781008035258 \tabularnewline
0.12 & 15.0379093243264 & 0.10173521514613 \tabularnewline
0.13 & 15.2627928985735 & 0.486870345440372 \tabularnewline
0.14 & 15.9357082606212 & 1.07008977335907 \tabularnewline
0.15 & 16.9478472243497 & 1.18642295313764 \tabularnewline
0.16 & 17.8396397846049 & 0.902279677134083 \tabularnewline
0.17 & 18.5495423420081 & 0.845336963989992 \tabularnewline
0.18 & 19.2165780474127 & 0.774137280588534 \tabularnewline
0.19 & 19.7088366443559 & 0.444517348134247 \tabularnewline
0.2 & 19.9309021975993 & 0.146281932400588 \tabularnewline
0.21 & 19.9898118070389 & 0.027716502034098 \tabularnewline
0.22 & 19.9990731862823 & 0.00306931187836075 \tabularnewline
0.23 & 19.9999478873813 & 0.000217638281452243 \tabularnewline
0.24 & 19.9999981783098 & 0 \tabularnewline
0.25 & 19.9999999601087 & 0 \tabularnewline
0.26 & 19.9999999994483 & 0 \tabularnewline
0.27 & 19.9999999999951 & 0 \tabularnewline
0.28 & 20.0000000000004 & 0 \tabularnewline
0.29 & 20.0000000000396 & 0 \tabularnewline
0.3 & 20.0000000024306 & 0 \tabularnewline
0.31 & 20.0000000982024 & 0 \tabularnewline
0.32 & 20.0000026358196 & 2.79770192495014e-05 \tabularnewline
0.33 & 20.000047463886 & 0.000223437167533337 \tabularnewline
0.34 & 20.0005792514793 & 0.00217850936213498 \tabularnewline
0.35 & 20.0048436456982 & 0.0152774948701164 \tabularnewline
0.36 & 20.0280988149459 & 0.0721703839778818 \tabularnewline
0.37 & 20.1148125120609 & 0.231259839467091 \tabularnewline
0.38 & 20.3369800636746 & 0.50414124812798 \tabularnewline
0.39 & 20.7297856919142 & 0.750805418023201 \tabularnewline
0.4 & 21.2108748319072 & 0.766741332207266 \tabularnewline
0.41 & 21.6203679518285 & 0.538667594485544 \tabularnewline
0.42 & 21.8632807872517 & 0.261115168091279 \tabularnewline
0.43 & 21.963943897819 & 0.0875998267107232 \tabularnewline
0.44 & 21.9932225073243 & 0.0207091710170601 \tabularnewline
0.45 & 22.0000469162875 & 0.00651503412376393 \tabularnewline
0.46 & 22.0072925325284 & 0.0229424831812928 \tabularnewline
0.47 & 22.0398535454005 & 0.100903410584135 \tabularnewline
0.48 & 22.1565356388898 & 0.315396592347283 \tabularnewline
0.49 & 22.4538177781868 & 0.692683550731097 \tabularnewline
0.5 & 22.9917702147798 & 1.07013689280987 \tabularnewline
0.51 & 23.6838233510180 & 1.16373117950554 \tabularnewline
0.52 & 24.3170837834786 & 0.891102945139437 \tabularnewline
0.53 & 24.7292599576764 & 0.480376083881966 \tabularnewline
0.54 & 24.9199925288451 & 0.182202372242960 \tabularnewline
0.55 & 24.9826771624784 & 0.0485757220106025 \tabularnewline
0.56 & 24.9972859506913 & 0.00909482966988538 \tabularnewline
0.57 & 24.9996952056876 & 0.00116909759874711 \tabularnewline
0.58 & 24.9999756534674 & 0.000114011364557698 \tabularnewline
0.59 & 24.999998625917 & 0 \tabularnewline
0.6 & 24.9999999455377 & 0 \tabularnewline
0.61 & 24.9999999984928 & 0 \tabularnewline
0.62 & 24.9999999999710 & 0 \tabularnewline
0.63 & 24.9999999999996 & 0 \tabularnewline
0.64 & 25 & 0 \tabularnewline
0.65 & 25 & 0 \tabularnewline
0.66 & 25 & 0 \tabularnewline
0.67 & 25 & 0 \tabularnewline
0.68 & 25 & 0 \tabularnewline
0.69 & 25.0000000000000 & 0 \tabularnewline
0.7 & 25 & 0 \tabularnewline
0.71 & 25 & 0 \tabularnewline
0.72 & 25 & 0 \tabularnewline
0.73 & 25 & 0 \tabularnewline
0.74 & 25 & 0 \tabularnewline
0.75 & 25.0000000000038 & 0 \tabularnewline
0.76 & 25.0000000005450 & 0 \tabularnewline
0.77 & 25.0000000483986 & 0 \tabularnewline
0.78 & 25.0000026533345 & 4.13115236801675e-05 \tabularnewline
0.79 & 25.0000889391428 & 0.000333244758548651 \tabularnewline
0.8 & 25.0018070254175 & 0.00600848841895861 \tabularnewline
0.81 & 25.0221049002756 & 0.0598605898389705 \tabularnewline
0.82 & 25.1623781730458 & 0.340635204146770 \tabularnewline
0.83 & 25.7204150328764 & 1.08007153050782 \tabularnewline
0.84 & 26.9747355564135 & 1.86154240340784 \tabularnewline
0.85 & 28.5323685566245 & 1.69252291226154 \tabularnewline
0.86 & 29.5719891564906 & 0.783007720563933 \tabularnewline
0.87 & 29.9324550902348 & 0.176489965422778 \tabularnewline
0.88 & 29.9947203939850 & 0.0184179903525294 \tabularnewline
0.89 & 29.9998129199232 & 0.00082386867908888 \tabularnewline
0.9 & 30.0001488656262 & 0.000560591507156429 \tabularnewline
0.91 & 30.0086076413558 & 0.0245599382657843 \tabularnewline
0.92 & 30.1791035282837 & 0.366849581682616 \tabularnewline
0.93 & 31.317967753324 & 1.59817222903516 \tabularnewline
0.94 & 33.6415031541238 & 1.77957465776319 \tabularnewline
0.95 & 35.4774136407896 & 1.28406811724589 \tabularnewline
0.96 & 38.1233210748005 & 1.93376264414196 \tabularnewline
0.97 & 40.000745292461 & 0.595666999378491 \tabularnewline
0.98 & 44.340108589275 & 3.92875089817246 \tabularnewline
0.99 & 49.8791378550283 & 0.372698867108725 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74134&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]9.48146019874726[/C][C]0.531630278100433[/C][/ROW]
[ROW][C]0.02[/C][C]10.1154572851932[/C][C]0.260751432963488[/C][/ROW]
[ROW][C]0.03[/C][C]11.2656717478451[/C][C]0.743137201103508[/C][/ROW]
[ROW][C]0.04[/C][C]11.9930764814760[/C][C]0.169937179354567[/C][/ROW]
[ROW][C]0.05[/C][C]12.5695208912241[/C][C]0.844603824618881[/C][/ROW]
[ROW][C]0.06[/C][C]14.0047844327621[/C][C]1.06745982603596[/C][/ROW]
[ROW][C]0.07[/C][C]14.8606486464595[/C][C]0.270440563649872[/C][/ROW]
[ROW][C]0.08[/C][C]14.9938394287692[/C][C]0.0170911974287082[/C][/ROW]
[ROW][C]0.09[/C][C]14.9999107248351[/C][C]0.000322280284208285[/C][/ROW]
[ROW][C]0.1[/C][C]15.0000713937461[/C][C]0.000330841003470901[/C][/ROW]
[ROW][C]0.11[/C][C]15.0025382785888[/C][C]0.00915781008035258[/C][/ROW]
[ROW][C]0.12[/C][C]15.0379093243264[/C][C]0.10173521514613[/C][/ROW]
[ROW][C]0.13[/C][C]15.2627928985735[/C][C]0.486870345440372[/C][/ROW]
[ROW][C]0.14[/C][C]15.9357082606212[/C][C]1.07008977335907[/C][/ROW]
[ROW][C]0.15[/C][C]16.9478472243497[/C][C]1.18642295313764[/C][/ROW]
[ROW][C]0.16[/C][C]17.8396397846049[/C][C]0.902279677134083[/C][/ROW]
[ROW][C]0.17[/C][C]18.5495423420081[/C][C]0.845336963989992[/C][/ROW]
[ROW][C]0.18[/C][C]19.2165780474127[/C][C]0.774137280588534[/C][/ROW]
[ROW][C]0.19[/C][C]19.7088366443559[/C][C]0.444517348134247[/C][/ROW]
[ROW][C]0.2[/C][C]19.9309021975993[/C][C]0.146281932400588[/C][/ROW]
[ROW][C]0.21[/C][C]19.9898118070389[/C][C]0.027716502034098[/C][/ROW]
[ROW][C]0.22[/C][C]19.9990731862823[/C][C]0.00306931187836075[/C][/ROW]
[ROW][C]0.23[/C][C]19.9999478873813[/C][C]0.000217638281452243[/C][/ROW]
[ROW][C]0.24[/C][C]19.9999981783098[/C][C]0[/C][/ROW]
[ROW][C]0.25[/C][C]19.9999999601087[/C][C]0[/C][/ROW]
[ROW][C]0.26[/C][C]19.9999999994483[/C][C]0[/C][/ROW]
[ROW][C]0.27[/C][C]19.9999999999951[/C][C]0[/C][/ROW]
[ROW][C]0.28[/C][C]20.0000000000004[/C][C]0[/C][/ROW]
[ROW][C]0.29[/C][C]20.0000000000396[/C][C]0[/C][/ROW]
[ROW][C]0.3[/C][C]20.0000000024306[/C][C]0[/C][/ROW]
[ROW][C]0.31[/C][C]20.0000000982024[/C][C]0[/C][/ROW]
[ROW][C]0.32[/C][C]20.0000026358196[/C][C]2.79770192495014e-05[/C][/ROW]
[ROW][C]0.33[/C][C]20.000047463886[/C][C]0.000223437167533337[/C][/ROW]
[ROW][C]0.34[/C][C]20.0005792514793[/C][C]0.00217850936213498[/C][/ROW]
[ROW][C]0.35[/C][C]20.0048436456982[/C][C]0.0152774948701164[/C][/ROW]
[ROW][C]0.36[/C][C]20.0280988149459[/C][C]0.0721703839778818[/C][/ROW]
[ROW][C]0.37[/C][C]20.1148125120609[/C][C]0.231259839467091[/C][/ROW]
[ROW][C]0.38[/C][C]20.3369800636746[/C][C]0.50414124812798[/C][/ROW]
[ROW][C]0.39[/C][C]20.7297856919142[/C][C]0.750805418023201[/C][/ROW]
[ROW][C]0.4[/C][C]21.2108748319072[/C][C]0.766741332207266[/C][/ROW]
[ROW][C]0.41[/C][C]21.6203679518285[/C][C]0.538667594485544[/C][/ROW]
[ROW][C]0.42[/C][C]21.8632807872517[/C][C]0.261115168091279[/C][/ROW]
[ROW][C]0.43[/C][C]21.963943897819[/C][C]0.0875998267107232[/C][/ROW]
[ROW][C]0.44[/C][C]21.9932225073243[/C][C]0.0207091710170601[/C][/ROW]
[ROW][C]0.45[/C][C]22.0000469162875[/C][C]0.00651503412376393[/C][/ROW]
[ROW][C]0.46[/C][C]22.0072925325284[/C][C]0.0229424831812928[/C][/ROW]
[ROW][C]0.47[/C][C]22.0398535454005[/C][C]0.100903410584135[/C][/ROW]
[ROW][C]0.48[/C][C]22.1565356388898[/C][C]0.315396592347283[/C][/ROW]
[ROW][C]0.49[/C][C]22.4538177781868[/C][C]0.692683550731097[/C][/ROW]
[ROW][C]0.5[/C][C]22.9917702147798[/C][C]1.07013689280987[/C][/ROW]
[ROW][C]0.51[/C][C]23.6838233510180[/C][C]1.16373117950554[/C][/ROW]
[ROW][C]0.52[/C][C]24.3170837834786[/C][C]0.891102945139437[/C][/ROW]
[ROW][C]0.53[/C][C]24.7292599576764[/C][C]0.480376083881966[/C][/ROW]
[ROW][C]0.54[/C][C]24.9199925288451[/C][C]0.182202372242960[/C][/ROW]
[ROW][C]0.55[/C][C]24.9826771624784[/C][C]0.0485757220106025[/C][/ROW]
[ROW][C]0.56[/C][C]24.9972859506913[/C][C]0.00909482966988538[/C][/ROW]
[ROW][C]0.57[/C][C]24.9996952056876[/C][C]0.00116909759874711[/C][/ROW]
[ROW][C]0.58[/C][C]24.9999756534674[/C][C]0.000114011364557698[/C][/ROW]
[ROW][C]0.59[/C][C]24.999998625917[/C][C]0[/C][/ROW]
[ROW][C]0.6[/C][C]24.9999999455377[/C][C]0[/C][/ROW]
[ROW][C]0.61[/C][C]24.9999999984928[/C][C]0[/C][/ROW]
[ROW][C]0.62[/C][C]24.9999999999710[/C][C]0[/C][/ROW]
[ROW][C]0.63[/C][C]24.9999999999996[/C][C]0[/C][/ROW]
[ROW][C]0.64[/C][C]25[/C][C]0[/C][/ROW]
[ROW][C]0.65[/C][C]25[/C][C]0[/C][/ROW]
[ROW][C]0.66[/C][C]25[/C][C]0[/C][/ROW]
[ROW][C]0.67[/C][C]25[/C][C]0[/C][/ROW]
[ROW][C]0.68[/C][C]25[/C][C]0[/C][/ROW]
[ROW][C]0.69[/C][C]25.0000000000000[/C][C]0[/C][/ROW]
[ROW][C]0.7[/C][C]25[/C][C]0[/C][/ROW]
[ROW][C]0.71[/C][C]25[/C][C]0[/C][/ROW]
[ROW][C]0.72[/C][C]25[/C][C]0[/C][/ROW]
[ROW][C]0.73[/C][C]25[/C][C]0[/C][/ROW]
[ROW][C]0.74[/C][C]25[/C][C]0[/C][/ROW]
[ROW][C]0.75[/C][C]25.0000000000038[/C][C]0[/C][/ROW]
[ROW][C]0.76[/C][C]25.0000000005450[/C][C]0[/C][/ROW]
[ROW][C]0.77[/C][C]25.0000000483986[/C][C]0[/C][/ROW]
[ROW][C]0.78[/C][C]25.0000026533345[/C][C]4.13115236801675e-05[/C][/ROW]
[ROW][C]0.79[/C][C]25.0000889391428[/C][C]0.000333244758548651[/C][/ROW]
[ROW][C]0.8[/C][C]25.0018070254175[/C][C]0.00600848841895861[/C][/ROW]
[ROW][C]0.81[/C][C]25.0221049002756[/C][C]0.0598605898389705[/C][/ROW]
[ROW][C]0.82[/C][C]25.1623781730458[/C][C]0.340635204146770[/C][/ROW]
[ROW][C]0.83[/C][C]25.7204150328764[/C][C]1.08007153050782[/C][/ROW]
[ROW][C]0.84[/C][C]26.9747355564135[/C][C]1.86154240340784[/C][/ROW]
[ROW][C]0.85[/C][C]28.5323685566245[/C][C]1.69252291226154[/C][/ROW]
[ROW][C]0.86[/C][C]29.5719891564906[/C][C]0.783007720563933[/C][/ROW]
[ROW][C]0.87[/C][C]29.9324550902348[/C][C]0.176489965422778[/C][/ROW]
[ROW][C]0.88[/C][C]29.9947203939850[/C][C]0.0184179903525294[/C][/ROW]
[ROW][C]0.89[/C][C]29.9998129199232[/C][C]0.00082386867908888[/C][/ROW]
[ROW][C]0.9[/C][C]30.0001488656262[/C][C]0.000560591507156429[/C][/ROW]
[ROW][C]0.91[/C][C]30.0086076413558[/C][C]0.0245599382657843[/C][/ROW]
[ROW][C]0.92[/C][C]30.1791035282837[/C][C]0.366849581682616[/C][/ROW]
[ROW][C]0.93[/C][C]31.317967753324[/C][C]1.59817222903516[/C][/ROW]
[ROW][C]0.94[/C][C]33.6415031541238[/C][C]1.77957465776319[/C][/ROW]
[ROW][C]0.95[/C][C]35.4774136407896[/C][C]1.28406811724589[/C][/ROW]
[ROW][C]0.96[/C][C]38.1233210748005[/C][C]1.93376264414196[/C][/ROW]
[ROW][C]0.97[/C][C]40.000745292461[/C][C]0.595666999378491[/C][/ROW]
[ROW][C]0.98[/C][C]44.340108589275[/C][C]3.92875089817246[/C][/ROW]
[ROW][C]0.99[/C][C]49.8791378550283[/C][C]0.372698867108725[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74134&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74134&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
0.019.481460198747260.531630278100433
0.0210.11545728519320.260751432963488
0.0311.26567174784510.743137201103508
0.0411.99307648147600.169937179354567
0.0512.56952089122410.844603824618881
0.0614.00478443276211.06745982603596
0.0714.86064864645950.270440563649872
0.0814.99383942876920.0170911974287082
0.0914.99991072483510.000322280284208285
0.115.00007139374610.000330841003470901
0.1115.00253827858880.00915781008035258
0.1215.03790932432640.10173521514613
0.1315.26279289857350.486870345440372
0.1415.93570826062121.07008977335907
0.1516.94784722434971.18642295313764
0.1617.83963978460490.902279677134083
0.1718.54954234200810.845336963989992
0.1819.21657804741270.774137280588534
0.1919.70883664435590.444517348134247
0.219.93090219759930.146281932400588
0.2119.98981180703890.027716502034098
0.2219.99907318628230.00306931187836075
0.2319.99994788738130.000217638281452243
0.2419.99999817830980
0.2519.99999996010870
0.2619.99999999944830
0.2719.99999999999510
0.2820.00000000000040
0.2920.00000000003960
0.320.00000000243060
0.3120.00000009820240
0.3220.00000263581962.79770192495014e-05
0.3320.0000474638860.000223437167533337
0.3420.00057925147930.00217850936213498
0.3520.00484364569820.0152774948701164
0.3620.02809881494590.0721703839778818
0.3720.11481251206090.231259839467091
0.3820.33698006367460.50414124812798
0.3920.72978569191420.750805418023201
0.421.21087483190720.766741332207266
0.4121.62036795182850.538667594485544
0.4221.86328078725170.261115168091279
0.4321.9639438978190.0875998267107232
0.4421.99322250732430.0207091710170601
0.4522.00004691628750.00651503412376393
0.4622.00729253252840.0229424831812928
0.4722.03985354540050.100903410584135
0.4822.15653563888980.315396592347283
0.4922.45381777818680.692683550731097
0.522.99177021477981.07013689280987
0.5123.68382335101801.16373117950554
0.5224.31708378347860.891102945139437
0.5324.72925995767640.480376083881966
0.5424.91999252884510.182202372242960
0.5524.98267716247840.0485757220106025
0.5624.99728595069130.00909482966988538
0.5724.99969520568760.00116909759874711
0.5824.99997565346740.000114011364557698
0.5924.9999986259170
0.624.99999994553770
0.6124.99999999849280
0.6224.99999999997100
0.6324.99999999999960
0.64250
0.65250
0.66250
0.67250
0.68250
0.6925.00000000000000
0.7250
0.71250
0.72250
0.73250
0.74250
0.7525.00000000000380
0.7625.00000000054500
0.7725.00000004839860
0.7825.00000265333454.13115236801675e-05
0.7925.00008893914280.000333244758548651
0.825.00180702541750.00600848841895861
0.8125.02210490027560.0598605898389705
0.8225.16237817304580.340635204146770
0.8325.72041503287641.08007153050782
0.8426.97473555641351.86154240340784
0.8528.53236855662451.69252291226154
0.8629.57198915649060.783007720563933
0.8729.93245509023480.176489965422778
0.8829.99472039398500.0184179903525294
0.8929.99981291992320.00082386867908888
0.930.00014886562620.000560591507156429
0.9130.00860764135580.0245599382657843
0.9230.17910352828370.366849581682616
0.9331.3179677533241.59817222903516
0.9433.64150315412381.77957465776319
0.9535.47741364078961.28406811724589
0.9638.12332107480051.93376264414196
0.9740.0007452924610.595666999378491
0.9844.3401085892753.92875089817246
0.9949.87913785502830.372698867108725



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')