FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 19 Oct 2015 17:30:58 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/19/t1445272385b3cclrfr15hz9ko.htm/, Retrieved Tue, 14 May 2024 19:57:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282669, Retrieved Tue, 14 May 2024 19:57:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69

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] [Task 4 Boudewijn ...] [2015-10-19 16:30:58] [60e7016130b28a0c8bd4011f80276a66] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26
20
19
19
20
25
25
22
26
22
17
22
19
24
26
21
13
26
20
22
14
21
7
23
17
25
25
19
20
23
22
22
21
15
20
22
18
20
28
22
18
23
20
25
26
15
17
23
21
13
18
19
22
16
24
18
20
24
14
22
24
18
21
23
17
22
24
21
22
16
21
23
22
24
24
16
16
21
26
15
25
18
23
20
17
25
24
17
19
20
15
27
22
23
16
19
25
19
19
26
21
20
24
22
20
18
18
24
24
22
23
22
20
18
25
18
16
20
19
15
19
19
16
17
28
23
25
20
17
23
16
23
11
18
24
23
21
16
24
23
18
20
9
24
25
20
21
25
22
21
21
22
27
24
24
21
18
16
22
20
18
20

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282669&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282669&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282669&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019.114798165636812.06175970542586
0.0211.51124573797121.76097511124278
0.0313.05663780025821.21957600279294
0.0413.97864303258570.895541150206348
0.0514.57148304100830.69585322226255
0.0614.98891941143720.575016022269106
0.0715.30829089404480.512031162134935
0.0815.56629499560930.449295224391266
0.0915.77472290405370.373156517777975
0.115.94334953424880.32351928918085
0.1116.09178418520910.335838460409608
0.1216.2426554735390.395450886119319
0.1316.40975829455670.462017736367222
0.1416.59403070163960.507952085013265
0.1516.78822500835960.527819039310514
0.1616.98377666264180.529919474947988
0.1717.17434426027960.521523437775488
0.1817.35541560980040.501504103512512
0.1917.52284583972690.465710302625621
0.217.67295123710810.416108874335115
0.2117.80430082688320.364186791447256
0.2217.91943356282830.326974141592355
0.2318.02479986673270.31830661043665
0.2418.12867045293510.339524167642749
0.2518.23815162449720.378782323898366
0.2618.35688654991240.41966307236589
0.2718.48448451223390.449214601973355
0.2818.61771642592640.462236070268162
0.2918.75263834863850.461777473741645
0.318.88646218899310.456075823785264
0.3119.0182861839410.452956710226232
0.3219.14851092623390.454787117576558
0.3319.2774861824150.457195968151023
0.3419.40427862200750.452115357209845
0.3519.52628334865180.432724543108379
0.3619.63988132677220.397137641280801
0.3719.74179494164230.349615198402593
0.3819.83049610338290.299283253432587
0.3919.9070676514860.25762345964391
0.419.97520850120620.235327707157981
0.4120.04042032274730.238682180283747
0.4220.10867200661770.266141871373241
0.4320.18495656318970.309374131228737
0.4420.27215203627840.357265710348965
0.4520.37050447361880.399169132437631
0.4620.47788152410810.4272950576481
0.4720.59071607510140.438738199508568
0.4820.70532210824260.436059320825136
0.4920.81911017152810.426222750393508
0.520.93124484674050.417714783815584
0.5121.04249512623090.416646317505888
0.5221.15435904538020.423772345376291
0.5321.26785351121910.433928080826342
0.5421.38250529490480.438703267657228
0.5521.49599048543430.430284067682871
0.5621.6045903325250.404560666998813
0.5721.70429410555850.362843673515339
0.5821.79213637648670.311453351505839
0.5921.86729938224210.260175712240163
0.621.93163269571390.220080646145329
0.6121.98945468132510.201172481752021
0.6222.04670197804470.209215260935494
0.6322.10963206763960.242053870967355
0.6422.18336882052870.290720085965161
0.6522.27063986683620.34324776597851
0.6622.37107908038260.387335597607769
0.6722.48139865496560.413409399127478
0.6822.5965149174370.417459870926074
0.6922.71135965423310.402758187550844
0.722.82275652355520.379392774617528
0.7122.9305848498020.360844518093546
0.7223.03763548248650.358222797350272
0.7323.14807606588170.373860448420721
0.7423.26509276501010.399112911815306
0.7523.3887528467660.418847141208512
0.7623.51515762166940.418791892155916
0.7723.63744587052420.391685570213727
0.7823.74837462745960.340660582687819
0.7923.84346881659830.278584430941686
0.823.9234634968370.224463665653043
0.8123.99502054882640.198874177726427
0.8224.06924271547260.215608271482072
0.8324.15810766795950.269224147792512
0.8424.26965818390810.337303696036197
0.8524.40370550234120.390974832352746
0.8624.5504856332720.404991169003956
0.8724.69415056480840.370087385545431
0.8824.82069399323710.300591804965606
0.8924.92697323942030.231792577958053
0.925.02572944968880.209916643019034
0.9125.14177084970460.261256726729318
0.9225.29738045464230.351726448415529
0.9325.49303067887770.411127983599597
0.9425.70181842676580.385613047499483
0.9525.89789339957150.302089751507566
0.9626.10964060766810.298420038757815
0.9726.43823966208490.463397666062148
0.9826.98217109740470.642494383835027
0.9927.64982022085450.566417417821456

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.11479816563681 & 2.06175970542586 \tabularnewline
0.02 & 11.5112457379712 & 1.76097511124278 \tabularnewline
0.03 & 13.0566378002582 & 1.21957600279294 \tabularnewline
0.04 & 13.9786430325857 & 0.895541150206348 \tabularnewline
0.05 & 14.5714830410083 & 0.69585322226255 \tabularnewline
0.06 & 14.9889194114372 & 0.575016022269106 \tabularnewline
0.07 & 15.3082908940448 & 0.512031162134935 \tabularnewline
0.08 & 15.5662949956093 & 0.449295224391266 \tabularnewline
0.09 & 15.7747229040537 & 0.373156517777975 \tabularnewline
0.1 & 15.9433495342488 & 0.32351928918085 \tabularnewline
0.11 & 16.0917841852091 & 0.335838460409608 \tabularnewline
0.12 & 16.242655473539 & 0.395450886119319 \tabularnewline
0.13 & 16.4097582945567 & 0.462017736367222 \tabularnewline
0.14 & 16.5940307016396 & 0.507952085013265 \tabularnewline
0.15 & 16.7882250083596 & 0.527819039310514 \tabularnewline
0.16 & 16.9837766626418 & 0.529919474947988 \tabularnewline
0.17 & 17.1743442602796 & 0.521523437775488 \tabularnewline
0.18 & 17.3554156098004 & 0.501504103512512 \tabularnewline
0.19 & 17.5228458397269 & 0.465710302625621 \tabularnewline
0.2 & 17.6729512371081 & 0.416108874335115 \tabularnewline
0.21 & 17.8043008268832 & 0.364186791447256 \tabularnewline
0.22 & 17.9194335628283 & 0.326974141592355 \tabularnewline
0.23 & 18.0247998667327 & 0.31830661043665 \tabularnewline
0.24 & 18.1286704529351 & 0.339524167642749 \tabularnewline
0.25 & 18.2381516244972 & 0.378782323898366 \tabularnewline
0.26 & 18.3568865499124 & 0.41966307236589 \tabularnewline
0.27 & 18.4844845122339 & 0.449214601973355 \tabularnewline
0.28 & 18.6177164259264 & 0.462236070268162 \tabularnewline
0.29 & 18.7526383486385 & 0.461777473741645 \tabularnewline
0.3 & 18.8864621889931 & 0.456075823785264 \tabularnewline
0.31 & 19.018286183941 & 0.452956710226232 \tabularnewline
0.32 & 19.1485109262339 & 0.454787117576558 \tabularnewline
0.33 & 19.277486182415 & 0.457195968151023 \tabularnewline
0.34 & 19.4042786220075 & 0.452115357209845 \tabularnewline
0.35 & 19.5262833486518 & 0.432724543108379 \tabularnewline
0.36 & 19.6398813267722 & 0.397137641280801 \tabularnewline
0.37 & 19.7417949416423 & 0.349615198402593 \tabularnewline
0.38 & 19.8304961033829 & 0.299283253432587 \tabularnewline
0.39 & 19.907067651486 & 0.25762345964391 \tabularnewline
0.4 & 19.9752085012062 & 0.235327707157981 \tabularnewline
0.41 & 20.0404203227473 & 0.238682180283747 \tabularnewline
0.42 & 20.1086720066177 & 0.266141871373241 \tabularnewline
0.43 & 20.1849565631897 & 0.309374131228737 \tabularnewline
0.44 & 20.2721520362784 & 0.357265710348965 \tabularnewline
0.45 & 20.3705044736188 & 0.399169132437631 \tabularnewline
0.46 & 20.4778815241081 & 0.4272950576481 \tabularnewline
0.47 & 20.5907160751014 & 0.438738199508568 \tabularnewline
0.48 & 20.7053221082426 & 0.436059320825136 \tabularnewline
0.49 & 20.8191101715281 & 0.426222750393508 \tabularnewline
0.5 & 20.9312448467405 & 0.417714783815584 \tabularnewline
0.51 & 21.0424951262309 & 0.416646317505888 \tabularnewline
0.52 & 21.1543590453802 & 0.423772345376291 \tabularnewline
0.53 & 21.2678535112191 & 0.433928080826342 \tabularnewline
0.54 & 21.3825052949048 & 0.438703267657228 \tabularnewline
0.55 & 21.4959904854343 & 0.430284067682871 \tabularnewline
0.56 & 21.604590332525 & 0.404560666998813 \tabularnewline
0.57 & 21.7042941055585 & 0.362843673515339 \tabularnewline
0.58 & 21.7921363764867 & 0.311453351505839 \tabularnewline
0.59 & 21.8672993822421 & 0.260175712240163 \tabularnewline
0.6 & 21.9316326957139 & 0.220080646145329 \tabularnewline
0.61 & 21.9894546813251 & 0.201172481752021 \tabularnewline
0.62 & 22.0467019780447 & 0.209215260935494 \tabularnewline
0.63 & 22.1096320676396 & 0.242053870967355 \tabularnewline
0.64 & 22.1833688205287 & 0.290720085965161 \tabularnewline
0.65 & 22.2706398668362 & 0.34324776597851 \tabularnewline
0.66 & 22.3710790803826 & 0.387335597607769 \tabularnewline
0.67 & 22.4813986549656 & 0.413409399127478 \tabularnewline
0.68 & 22.596514917437 & 0.417459870926074 \tabularnewline
0.69 & 22.7113596542331 & 0.402758187550844 \tabularnewline
0.7 & 22.8227565235552 & 0.379392774617528 \tabularnewline
0.71 & 22.930584849802 & 0.360844518093546 \tabularnewline
0.72 & 23.0376354824865 & 0.358222797350272 \tabularnewline
0.73 & 23.1480760658817 & 0.373860448420721 \tabularnewline
0.74 & 23.2650927650101 & 0.399112911815306 \tabularnewline
0.75 & 23.388752846766 & 0.418847141208512 \tabularnewline
0.76 & 23.5151576216694 & 0.418791892155916 \tabularnewline
0.77 & 23.6374458705242 & 0.391685570213727 \tabularnewline
0.78 & 23.7483746274596 & 0.340660582687819 \tabularnewline
0.79 & 23.8434688165983 & 0.278584430941686 \tabularnewline
0.8 & 23.923463496837 & 0.224463665653043 \tabularnewline
0.81 & 23.9950205488264 & 0.198874177726427 \tabularnewline
0.82 & 24.0692427154726 & 0.215608271482072 \tabularnewline
0.83 & 24.1581076679595 & 0.269224147792512 \tabularnewline
0.84 & 24.2696581839081 & 0.337303696036197 \tabularnewline
0.85 & 24.4037055023412 & 0.390974832352746 \tabularnewline
0.86 & 24.550485633272 & 0.404991169003956 \tabularnewline
0.87 & 24.6941505648084 & 0.370087385545431 \tabularnewline
0.88 & 24.8206939932371 & 0.300591804965606 \tabularnewline
0.89 & 24.9269732394203 & 0.231792577958053 \tabularnewline
0.9 & 25.0257294496888 & 0.209916643019034 \tabularnewline
0.91 & 25.1417708497046 & 0.261256726729318 \tabularnewline
0.92 & 25.2973804546423 & 0.351726448415529 \tabularnewline
0.93 & 25.4930306788777 & 0.411127983599597 \tabularnewline
0.94 & 25.7018184267658 & 0.385613047499483 \tabularnewline
0.95 & 25.8978933995715 & 0.302089751507566 \tabularnewline
0.96 & 26.1096406076681 & 0.298420038757815 \tabularnewline
0.97 & 26.4382396620849 & 0.463397666062148 \tabularnewline
0.98 & 26.9821710974047 & 0.642494383835027 \tabularnewline
0.99 & 27.6498202208545 & 0.566417417821456 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282669&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]9.11479816563681[/C][C]2.06175970542586[/C][/ROW]
[ROW][C]0.02[/C][C]11.5112457379712[/C][C]1.76097511124278[/C][/ROW]
[ROW][C]0.03[/C][C]13.0566378002582[/C][C]1.21957600279294[/C][/ROW]
[ROW][C]0.04[/C][C]13.9786430325857[/C][C]0.895541150206348[/C][/ROW]
[ROW][C]0.05[/C][C]14.5714830410083[/C][C]0.69585322226255[/C][/ROW]
[ROW][C]0.06[/C][C]14.9889194114372[/C][C]0.575016022269106[/C][/ROW]
[ROW][C]0.07[/C][C]15.3082908940448[/C][C]0.512031162134935[/C][/ROW]
[ROW][C]0.08[/C][C]15.5662949956093[/C][C]0.449295224391266[/C][/ROW]
[ROW][C]0.09[/C][C]15.7747229040537[/C][C]0.373156517777975[/C][/ROW]
[ROW][C]0.1[/C][C]15.9433495342488[/C][C]0.32351928918085[/C][/ROW]
[ROW][C]0.11[/C][C]16.0917841852091[/C][C]0.335838460409608[/C][/ROW]
[ROW][C]0.12[/C][C]16.242655473539[/C][C]0.395450886119319[/C][/ROW]
[ROW][C]0.13[/C][C]16.4097582945567[/C][C]0.462017736367222[/C][/ROW]
[ROW][C]0.14[/C][C]16.5940307016396[/C][C]0.507952085013265[/C][/ROW]
[ROW][C]0.15[/C][C]16.7882250083596[/C][C]0.527819039310514[/C][/ROW]
[ROW][C]0.16[/C][C]16.9837766626418[/C][C]0.529919474947988[/C][/ROW]
[ROW][C]0.17[/C][C]17.1743442602796[/C][C]0.521523437775488[/C][/ROW]
[ROW][C]0.18[/C][C]17.3554156098004[/C][C]0.501504103512512[/C][/ROW]
[ROW][C]0.19[/C][C]17.5228458397269[/C][C]0.465710302625621[/C][/ROW]
[ROW][C]0.2[/C][C]17.6729512371081[/C][C]0.416108874335115[/C][/ROW]
[ROW][C]0.21[/C][C]17.8043008268832[/C][C]0.364186791447256[/C][/ROW]
[ROW][C]0.22[/C][C]17.9194335628283[/C][C]0.326974141592355[/C][/ROW]
[ROW][C]0.23[/C][C]18.0247998667327[/C][C]0.31830661043665[/C][/ROW]
[ROW][C]0.24[/C][C]18.1286704529351[/C][C]0.339524167642749[/C][/ROW]
[ROW][C]0.25[/C][C]18.2381516244972[/C][C]0.378782323898366[/C][/ROW]
[ROW][C]0.26[/C][C]18.3568865499124[/C][C]0.41966307236589[/C][/ROW]
[ROW][C]0.27[/C][C]18.4844845122339[/C][C]0.449214601973355[/C][/ROW]
[ROW][C]0.28[/C][C]18.6177164259264[/C][C]0.462236070268162[/C][/ROW]
[ROW][C]0.29[/C][C]18.7526383486385[/C][C]0.461777473741645[/C][/ROW]
[ROW][C]0.3[/C][C]18.8864621889931[/C][C]0.456075823785264[/C][/ROW]
[ROW][C]0.31[/C][C]19.018286183941[/C][C]0.452956710226232[/C][/ROW]
[ROW][C]0.32[/C][C]19.1485109262339[/C][C]0.454787117576558[/C][/ROW]
[ROW][C]0.33[/C][C]19.277486182415[/C][C]0.457195968151023[/C][/ROW]
[ROW][C]0.34[/C][C]19.4042786220075[/C][C]0.452115357209845[/C][/ROW]
[ROW][C]0.35[/C][C]19.5262833486518[/C][C]0.432724543108379[/C][/ROW]
[ROW][C]0.36[/C][C]19.6398813267722[/C][C]0.397137641280801[/C][/ROW]
[ROW][C]0.37[/C][C]19.7417949416423[/C][C]0.349615198402593[/C][/ROW]
[ROW][C]0.38[/C][C]19.8304961033829[/C][C]0.299283253432587[/C][/ROW]
[ROW][C]0.39[/C][C]19.907067651486[/C][C]0.25762345964391[/C][/ROW]
[ROW][C]0.4[/C][C]19.9752085012062[/C][C]0.235327707157981[/C][/ROW]
[ROW][C]0.41[/C][C]20.0404203227473[/C][C]0.238682180283747[/C][/ROW]
[ROW][C]0.42[/C][C]20.1086720066177[/C][C]0.266141871373241[/C][/ROW]
[ROW][C]0.43[/C][C]20.1849565631897[/C][C]0.309374131228737[/C][/ROW]
[ROW][C]0.44[/C][C]20.2721520362784[/C][C]0.357265710348965[/C][/ROW]
[ROW][C]0.45[/C][C]20.3705044736188[/C][C]0.399169132437631[/C][/ROW]
[ROW][C]0.46[/C][C]20.4778815241081[/C][C]0.4272950576481[/C][/ROW]
[ROW][C]0.47[/C][C]20.5907160751014[/C][C]0.438738199508568[/C][/ROW]
[ROW][C]0.48[/C][C]20.7053221082426[/C][C]0.436059320825136[/C][/ROW]
[ROW][C]0.49[/C][C]20.8191101715281[/C][C]0.426222750393508[/C][/ROW]
[ROW][C]0.5[/C][C]20.9312448467405[/C][C]0.417714783815584[/C][/ROW]
[ROW][C]0.51[/C][C]21.0424951262309[/C][C]0.416646317505888[/C][/ROW]
[ROW][C]0.52[/C][C]21.1543590453802[/C][C]0.423772345376291[/C][/ROW]
[ROW][C]0.53[/C][C]21.2678535112191[/C][C]0.433928080826342[/C][/ROW]
[ROW][C]0.54[/C][C]21.3825052949048[/C][C]0.438703267657228[/C][/ROW]
[ROW][C]0.55[/C][C]21.4959904854343[/C][C]0.430284067682871[/C][/ROW]
[ROW][C]0.56[/C][C]21.604590332525[/C][C]0.404560666998813[/C][/ROW]
[ROW][C]0.57[/C][C]21.7042941055585[/C][C]0.362843673515339[/C][/ROW]
[ROW][C]0.58[/C][C]21.7921363764867[/C][C]0.311453351505839[/C][/ROW]
[ROW][C]0.59[/C][C]21.8672993822421[/C][C]0.260175712240163[/C][/ROW]
[ROW][C]0.6[/C][C]21.9316326957139[/C][C]0.220080646145329[/C][/ROW]
[ROW][C]0.61[/C][C]21.9894546813251[/C][C]0.201172481752021[/C][/ROW]
[ROW][C]0.62[/C][C]22.0467019780447[/C][C]0.209215260935494[/C][/ROW]
[ROW][C]0.63[/C][C]22.1096320676396[/C][C]0.242053870967355[/C][/ROW]
[ROW][C]0.64[/C][C]22.1833688205287[/C][C]0.290720085965161[/C][/ROW]
[ROW][C]0.65[/C][C]22.2706398668362[/C][C]0.34324776597851[/C][/ROW]
[ROW][C]0.66[/C][C]22.3710790803826[/C][C]0.387335597607769[/C][/ROW]
[ROW][C]0.67[/C][C]22.4813986549656[/C][C]0.413409399127478[/C][/ROW]
[ROW][C]0.68[/C][C]22.596514917437[/C][C]0.417459870926074[/C][/ROW]
[ROW][C]0.69[/C][C]22.7113596542331[/C][C]0.402758187550844[/C][/ROW]
[ROW][C]0.7[/C][C]22.8227565235552[/C][C]0.379392774617528[/C][/ROW]
[ROW][C]0.71[/C][C]22.930584849802[/C][C]0.360844518093546[/C][/ROW]
[ROW][C]0.72[/C][C]23.0376354824865[/C][C]0.358222797350272[/C][/ROW]
[ROW][C]0.73[/C][C]23.1480760658817[/C][C]0.373860448420721[/C][/ROW]
[ROW][C]0.74[/C][C]23.2650927650101[/C][C]0.399112911815306[/C][/ROW]
[ROW][C]0.75[/C][C]23.388752846766[/C][C]0.418847141208512[/C][/ROW]
[ROW][C]0.76[/C][C]23.5151576216694[/C][C]0.418791892155916[/C][/ROW]
[ROW][C]0.77[/C][C]23.6374458705242[/C][C]0.391685570213727[/C][/ROW]
[ROW][C]0.78[/C][C]23.7483746274596[/C][C]0.340660582687819[/C][/ROW]
[ROW][C]0.79[/C][C]23.8434688165983[/C][C]0.278584430941686[/C][/ROW]
[ROW][C]0.8[/C][C]23.923463496837[/C][C]0.224463665653043[/C][/ROW]
[ROW][C]0.81[/C][C]23.9950205488264[/C][C]0.198874177726427[/C][/ROW]
[ROW][C]0.82[/C][C]24.0692427154726[/C][C]0.215608271482072[/C][/ROW]
[ROW][C]0.83[/C][C]24.1581076679595[/C][C]0.269224147792512[/C][/ROW]
[ROW][C]0.84[/C][C]24.2696581839081[/C][C]0.337303696036197[/C][/ROW]
[ROW][C]0.85[/C][C]24.4037055023412[/C][C]0.390974832352746[/C][/ROW]
[ROW][C]0.86[/C][C]24.550485633272[/C][C]0.404991169003956[/C][/ROW]
[ROW][C]0.87[/C][C]24.6941505648084[/C][C]0.370087385545431[/C][/ROW]
[ROW][C]0.88[/C][C]24.8206939932371[/C][C]0.300591804965606[/C][/ROW]
[ROW][C]0.89[/C][C]24.9269732394203[/C][C]0.231792577958053[/C][/ROW]
[ROW][C]0.9[/C][C]25.0257294496888[/C][C]0.209916643019034[/C][/ROW]
[ROW][C]0.91[/C][C]25.1417708497046[/C][C]0.261256726729318[/C][/ROW]
[ROW][C]0.92[/C][C]25.2973804546423[/C][C]0.351726448415529[/C][/ROW]
[ROW][C]0.93[/C][C]25.4930306788777[/C][C]0.411127983599597[/C][/ROW]
[ROW][C]0.94[/C][C]25.7018184267658[/C][C]0.385613047499483[/C][/ROW]
[ROW][C]0.95[/C][C]25.8978933995715[/C][C]0.302089751507566[/C][/ROW]
[ROW][C]0.96[/C][C]26.1096406076681[/C][C]0.298420038757815[/C][/ROW]
[ROW][C]0.97[/C][C]26.4382396620849[/C][C]0.463397666062148[/C][/ROW]
[ROW][C]0.98[/C][C]26.9821710974047[/C][C]0.642494383835027[/C][/ROW]
[ROW][C]0.99[/C][C]27.6498202208545[/C][C]0.566417417821456[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282669&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282669&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.019.114798165636812.06175970542586
0.0211.51124573797121.76097511124278
0.0313.05663780025821.21957600279294
0.0413.97864303258570.895541150206348
0.0514.57148304100830.69585322226255
0.0614.98891941143720.575016022269106
0.0715.30829089404480.512031162134935
0.0815.56629499560930.449295224391266
0.0915.77472290405370.373156517777975
0.115.94334953424880.32351928918085
0.1116.09178418520910.335838460409608
0.1216.2426554735390.395450886119319
0.1316.40975829455670.462017736367222
0.1416.59403070163960.507952085013265
0.1516.78822500835960.527819039310514
0.1616.98377666264180.529919474947988
0.1717.17434426027960.521523437775488
0.1817.35541560980040.501504103512512
0.1917.52284583972690.465710302625621
0.217.67295123710810.416108874335115
0.2117.80430082688320.364186791447256
0.2217.91943356282830.326974141592355
0.2318.02479986673270.31830661043665
0.2418.12867045293510.339524167642749
0.2518.23815162449720.378782323898366
0.2618.35688654991240.41966307236589
0.2718.48448451223390.449214601973355
0.2818.61771642592640.462236070268162
0.2918.75263834863850.461777473741645
0.318.88646218899310.456075823785264
0.3119.0182861839410.452956710226232
0.3219.14851092623390.454787117576558
0.3319.2774861824150.457195968151023
0.3419.40427862200750.452115357209845
0.3519.52628334865180.432724543108379
0.3619.63988132677220.397137641280801
0.3719.74179494164230.349615198402593
0.3819.83049610338290.299283253432587
0.3919.9070676514860.25762345964391
0.419.97520850120620.235327707157981
0.4120.04042032274730.238682180283747
0.4220.10867200661770.266141871373241
0.4320.18495656318970.309374131228737
0.4420.27215203627840.357265710348965
0.4520.37050447361880.399169132437631
0.4620.47788152410810.4272950576481
0.4720.59071607510140.438738199508568
0.4820.70532210824260.436059320825136
0.4920.81911017152810.426222750393508
0.520.93124484674050.417714783815584
0.5121.04249512623090.416646317505888
0.5221.15435904538020.423772345376291
0.5321.26785351121910.433928080826342
0.5421.38250529490480.438703267657228
0.5521.49599048543430.430284067682871
0.5621.6045903325250.404560666998813
0.5721.70429410555850.362843673515339
0.5821.79213637648670.311453351505839
0.5921.86729938224210.260175712240163
0.621.93163269571390.220080646145329
0.6121.98945468132510.201172481752021
0.6222.04670197804470.209215260935494
0.6322.10963206763960.242053870967355
0.6422.18336882052870.290720085965161
0.6522.27063986683620.34324776597851
0.6622.37107908038260.387335597607769
0.6722.48139865496560.413409399127478
0.6822.5965149174370.417459870926074
0.6922.71135965423310.402758187550844
0.722.82275652355520.379392774617528
0.7122.9305848498020.360844518093546
0.7223.03763548248650.358222797350272
0.7323.14807606588170.373860448420721
0.7423.26509276501010.399112911815306
0.7523.3887528467660.418847141208512
0.7623.51515762166940.418791892155916
0.7723.63744587052420.391685570213727
0.7823.74837462745960.340660582687819
0.7923.84346881659830.278584430941686
0.823.9234634968370.224463665653043
0.8123.99502054882640.198874177726427
0.8224.06924271547260.215608271482072
0.8324.15810766795950.269224147792512
0.8424.26965818390810.337303696036197
0.8524.40370550234120.390974832352746
0.8624.5504856332720.404991169003956
0.8724.69415056480840.370087385545431
0.8824.82069399323710.300591804965606
0.8924.92697323942030.231792577958053
0.925.02572944968880.209916643019034
0.9125.14177084970460.261256726729318
0.9225.29738045464230.351726448415529
0.9325.49303067887770.411127983599597
0.9425.70181842676580.385613047499483
0.9525.89789339957150.302089751507566
0.9626.10964060766810.298420038757815
0.9726.43823966208490.463397666062148
0.9826.98217109740470.642494383835027
0.9927.64982022085450.566417417821456


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')