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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 13:29:52 -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/2008/Oct/27/t1225135842ftfhsawatrlj02d.htm/, Retrieved Sun, 19 May 2024 16:38:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19469, Retrieved Sun, 19 May 2024 16:38:37 +0000
QR Codes:

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

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Tukey lambda PPCC Plot] [Investigating dis...] [2007-10-22 19:59:15] [b9964c45117f7aac638ab9056d451faa]
- RMPD    [Harrell-Davis Quantiles] [Investigating dis...] [2008-10-27 19:29:52] [708e5cce6cfef15b7edd0dea71956401] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101.6
101.2
111.6
109.4
105.4
119.6
87.7
93.8
115.6
121.3
104.9
103.9
95.2
102
117.4
111.3
109.6
123
88.8
98.8
119.9
122.1
115.5
107.1
99.3
102.5
111.2
109.7
109.8
124.4
85.6
95.4
115.1
116.2
120
109.9
104
104.3
120.2
112.5
122.3
130
94.8
103.9
128.8
137.6
130.8
125.2
119.1
120.4
136.6
129.8
135.8
151
105
117.3
144.6
154.6
137.3
129
125.3

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19469&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19469&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19469&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0186.19289184106322.05408018842346
0.0287.17766338786712.28532670379344
0.0388.37976506021762.71827817122137
0.0489.66568111446333.08221168423058
0.0590.94785937378263.21407355003489
0.0692.16714898138823.12840035801091
0.0793.28858838450042.94035908953944
0.0894.30253942804582.77213593607613
0.0995.22022854954652.68973009218083
0.196.06342375490532.68848467075819
0.1196.85367318725232.72328486125805
0.1297.60552807663512.74659795823982
0.1398.32481204796522.72894643426669
0.1499.01052845444522.66087701064221
0.1599.65824859680082.54813976211407
0.16100.2632692040822.40511718785048
0.17100.8226826498062.24843300486441
0.18101.3362402244312.09319470891629
0.19101.8063078955841.95086169673298
0.2102.2373342385461.82892474672023
0.21102.6351809868471.73241860281995
0.22103.0065225400611.66460804787585
0.23103.3583829511871.62774874399115
0.24103.6977879397361.62359444663199
0.25104.0314734958221.65224794835023
0.26104.3656002195741.71139723021285
0.27104.7054542308571.79591369877536
0.28105.0551520388021.89793932402456
0.29105.4173938004342.00811577222344
0.3105.7933192068652.11636491378430
0.31106.1825115588662.21311990213609
0.32106.5831722415672.29050287141560
0.33106.9924566961902.34371071195069
0.34107.4069320659502.37109961623835
0.35107.8230930973072.37441939962388
0.36108.2378615237372.35861041963359
0.37108.6489969633672.33108052813802
0.38109.0553631424472.30046712239756
0.39109.4570182810892.27562087182769
0.4109.8551274838012.26401399055590
0.41110.2517224037962.27043898707338
0.42110.6493545818072.2968918883033
0.43111.0507006446712.34191771440805
0.44111.4581789560322.40126014959277
0.45111.8736292414182.46927136670378
0.46112.2980915595592.53886943192782
0.47112.7317020394802.60363801344444
0.48113.1737035605832.65778021630227
0.49113.6225531898752.69713608144241
0.5114.0760970828932.71884257286307
0.51114.531778982512.72174911762114
0.52114.9868504556872.70628171665309
0.53115.438558438562.67335094063607
0.54115.8842964014332.62492236841727
0.55116.3217168480362.56311597249707
0.56116.7488122995632.4902625945421
0.57117.1639773592152.40840483471197
0.58117.5660649566292.320088166946
0.59117.9544457813682.22804586857383
0.6118.3290727736652.13521064246126
0.61118.6905446641922.04544650828321
0.62119.0401563862961.96304770922445
0.63119.3799216060621.89270179279737
0.64119.7125544096711.83884462897911
0.65120.0414028108771.80556552248334
0.66120.3703344919941.79584954794756
0.67120.7035827313491.81104558495041
0.68121.0455655660061.85104590175151
0.69121.4006925223071.91445836352778
0.7121.7731707679951.99845562611514
0.71122.1668179343112.09958412396152
0.72122.5848850112462.21371834760471
0.73123.0298929137912.33631218230721
0.74123.5034929296942.46182202141281
0.75124.0063742702862.58451684994302
0.76124.538257659122.69855156970854
0.77125.0980245019772.79805401131484
0.78125.6840259416312.87893191011849
0.79126.2945847457502.93958818108501
0.8126.9286414395122.9823847128746
0.81127.5864134191083.01443126367991
0.82128.2698595011053.04709299164328
0.83128.9827181355463.0929755412036
0.84129.7299684424213.16147021596437
0.85130.5167862249003.25331491330894
0.86131.3474186422823.35701949382489
0.87132.2247827763703.45186377472483
0.88133.1518056565433.51720637962695
0.89134.1352952349443.54751048509757
0.9135.1922185014973.56848906999609
0.91136.3566239079873.64786355108158
0.92137.683471160743.8822324423212
0.93139.2443016501174.34144940496199
0.94141.1103904644714.99208676957881
0.95143.3226952585555.66223524752564
0.96145.8534704996926.07265804690025
0.97148.5683255327955.94021282946176
0.98151.1989762259005.18165870022681
0.99153.3491988733614.16065144305431

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 86.1928918410632 & 2.05408018842346 \tabularnewline
0.02 & 87.1776633878671 & 2.28532670379344 \tabularnewline
0.03 & 88.3797650602176 & 2.71827817122137 \tabularnewline
0.04 & 89.6656811144633 & 3.08221168423058 \tabularnewline
0.05 & 90.9478593737826 & 3.21407355003489 \tabularnewline
0.06 & 92.1671489813882 & 3.12840035801091 \tabularnewline
0.07 & 93.2885883845004 & 2.94035908953944 \tabularnewline
0.08 & 94.3025394280458 & 2.77213593607613 \tabularnewline
0.09 & 95.2202285495465 & 2.68973009218083 \tabularnewline
0.1 & 96.0634237549053 & 2.68848467075819 \tabularnewline
0.11 & 96.8536731872523 & 2.72328486125805 \tabularnewline
0.12 & 97.6055280766351 & 2.74659795823982 \tabularnewline
0.13 & 98.3248120479652 & 2.72894643426669 \tabularnewline
0.14 & 99.0105284544452 & 2.66087701064221 \tabularnewline
0.15 & 99.6582485968008 & 2.54813976211407 \tabularnewline
0.16 & 100.263269204082 & 2.40511718785048 \tabularnewline
0.17 & 100.822682649806 & 2.24843300486441 \tabularnewline
0.18 & 101.336240224431 & 2.09319470891629 \tabularnewline
0.19 & 101.806307895584 & 1.95086169673298 \tabularnewline
0.2 & 102.237334238546 & 1.82892474672023 \tabularnewline
0.21 & 102.635180986847 & 1.73241860281995 \tabularnewline
0.22 & 103.006522540061 & 1.66460804787585 \tabularnewline
0.23 & 103.358382951187 & 1.62774874399115 \tabularnewline
0.24 & 103.697787939736 & 1.62359444663199 \tabularnewline
0.25 & 104.031473495822 & 1.65224794835023 \tabularnewline
0.26 & 104.365600219574 & 1.71139723021285 \tabularnewline
0.27 & 104.705454230857 & 1.79591369877536 \tabularnewline
0.28 & 105.055152038802 & 1.89793932402456 \tabularnewline
0.29 & 105.417393800434 & 2.00811577222344 \tabularnewline
0.3 & 105.793319206865 & 2.11636491378430 \tabularnewline
0.31 & 106.182511558866 & 2.21311990213609 \tabularnewline
0.32 & 106.583172241567 & 2.29050287141560 \tabularnewline
0.33 & 106.992456696190 & 2.34371071195069 \tabularnewline
0.34 & 107.406932065950 & 2.37109961623835 \tabularnewline
0.35 & 107.823093097307 & 2.37441939962388 \tabularnewline
0.36 & 108.237861523737 & 2.35861041963359 \tabularnewline
0.37 & 108.648996963367 & 2.33108052813802 \tabularnewline
0.38 & 109.055363142447 & 2.30046712239756 \tabularnewline
0.39 & 109.457018281089 & 2.27562087182769 \tabularnewline
0.4 & 109.855127483801 & 2.26401399055590 \tabularnewline
0.41 & 110.251722403796 & 2.27043898707338 \tabularnewline
0.42 & 110.649354581807 & 2.2968918883033 \tabularnewline
0.43 & 111.050700644671 & 2.34191771440805 \tabularnewline
0.44 & 111.458178956032 & 2.40126014959277 \tabularnewline
0.45 & 111.873629241418 & 2.46927136670378 \tabularnewline
0.46 & 112.298091559559 & 2.53886943192782 \tabularnewline
0.47 & 112.731702039480 & 2.60363801344444 \tabularnewline
0.48 & 113.173703560583 & 2.65778021630227 \tabularnewline
0.49 & 113.622553189875 & 2.69713608144241 \tabularnewline
0.5 & 114.076097082893 & 2.71884257286307 \tabularnewline
0.51 & 114.53177898251 & 2.72174911762114 \tabularnewline
0.52 & 114.986850455687 & 2.70628171665309 \tabularnewline
0.53 & 115.43855843856 & 2.67335094063607 \tabularnewline
0.54 & 115.884296401433 & 2.62492236841727 \tabularnewline
0.55 & 116.321716848036 & 2.56311597249707 \tabularnewline
0.56 & 116.748812299563 & 2.4902625945421 \tabularnewline
0.57 & 117.163977359215 & 2.40840483471197 \tabularnewline
0.58 & 117.566064956629 & 2.320088166946 \tabularnewline
0.59 & 117.954445781368 & 2.22804586857383 \tabularnewline
0.6 & 118.329072773665 & 2.13521064246126 \tabularnewline
0.61 & 118.690544664192 & 2.04544650828321 \tabularnewline
0.62 & 119.040156386296 & 1.96304770922445 \tabularnewline
0.63 & 119.379921606062 & 1.89270179279737 \tabularnewline
0.64 & 119.712554409671 & 1.83884462897911 \tabularnewline
0.65 & 120.041402810877 & 1.80556552248334 \tabularnewline
0.66 & 120.370334491994 & 1.79584954794756 \tabularnewline
0.67 & 120.703582731349 & 1.81104558495041 \tabularnewline
0.68 & 121.045565566006 & 1.85104590175151 \tabularnewline
0.69 & 121.400692522307 & 1.91445836352778 \tabularnewline
0.7 & 121.773170767995 & 1.99845562611514 \tabularnewline
0.71 & 122.166817934311 & 2.09958412396152 \tabularnewline
0.72 & 122.584885011246 & 2.21371834760471 \tabularnewline
0.73 & 123.029892913791 & 2.33631218230721 \tabularnewline
0.74 & 123.503492929694 & 2.46182202141281 \tabularnewline
0.75 & 124.006374270286 & 2.58451684994302 \tabularnewline
0.76 & 124.53825765912 & 2.69855156970854 \tabularnewline
0.77 & 125.098024501977 & 2.79805401131484 \tabularnewline
0.78 & 125.684025941631 & 2.87893191011849 \tabularnewline
0.79 & 126.294584745750 & 2.93958818108501 \tabularnewline
0.8 & 126.928641439512 & 2.9823847128746 \tabularnewline
0.81 & 127.586413419108 & 3.01443126367991 \tabularnewline
0.82 & 128.269859501105 & 3.04709299164328 \tabularnewline
0.83 & 128.982718135546 & 3.0929755412036 \tabularnewline
0.84 & 129.729968442421 & 3.16147021596437 \tabularnewline
0.85 & 130.516786224900 & 3.25331491330894 \tabularnewline
0.86 & 131.347418642282 & 3.35701949382489 \tabularnewline
0.87 & 132.224782776370 & 3.45186377472483 \tabularnewline
0.88 & 133.151805656543 & 3.51720637962695 \tabularnewline
0.89 & 134.135295234944 & 3.54751048509757 \tabularnewline
0.9 & 135.192218501497 & 3.56848906999609 \tabularnewline
0.91 & 136.356623907987 & 3.64786355108158 \tabularnewline
0.92 & 137.68347116074 & 3.8822324423212 \tabularnewline
0.93 & 139.244301650117 & 4.34144940496199 \tabularnewline
0.94 & 141.110390464471 & 4.99208676957881 \tabularnewline
0.95 & 143.322695258555 & 5.66223524752564 \tabularnewline
0.96 & 145.853470499692 & 6.07265804690025 \tabularnewline
0.97 & 148.568325532795 & 5.94021282946176 \tabularnewline
0.98 & 151.198976225900 & 5.18165870022681 \tabularnewline
0.99 & 153.349198873361 & 4.16065144305431 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19469&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]86.1928918410632[/C][C]2.05408018842346[/C][/ROW]
[ROW][C]0.02[/C][C]87.1776633878671[/C][C]2.28532670379344[/C][/ROW]
[ROW][C]0.03[/C][C]88.3797650602176[/C][C]2.71827817122137[/C][/ROW]
[ROW][C]0.04[/C][C]89.6656811144633[/C][C]3.08221168423058[/C][/ROW]
[ROW][C]0.05[/C][C]90.9478593737826[/C][C]3.21407355003489[/C][/ROW]
[ROW][C]0.06[/C][C]92.1671489813882[/C][C]3.12840035801091[/C][/ROW]
[ROW][C]0.07[/C][C]93.2885883845004[/C][C]2.94035908953944[/C][/ROW]
[ROW][C]0.08[/C][C]94.3025394280458[/C][C]2.77213593607613[/C][/ROW]
[ROW][C]0.09[/C][C]95.2202285495465[/C][C]2.68973009218083[/C][/ROW]
[ROW][C]0.1[/C][C]96.0634237549053[/C][C]2.68848467075819[/C][/ROW]
[ROW][C]0.11[/C][C]96.8536731872523[/C][C]2.72328486125805[/C][/ROW]
[ROW][C]0.12[/C][C]97.6055280766351[/C][C]2.74659795823982[/C][/ROW]
[ROW][C]0.13[/C][C]98.3248120479652[/C][C]2.72894643426669[/C][/ROW]
[ROW][C]0.14[/C][C]99.0105284544452[/C][C]2.66087701064221[/C][/ROW]
[ROW][C]0.15[/C][C]99.6582485968008[/C][C]2.54813976211407[/C][/ROW]
[ROW][C]0.16[/C][C]100.263269204082[/C][C]2.40511718785048[/C][/ROW]
[ROW][C]0.17[/C][C]100.822682649806[/C][C]2.24843300486441[/C][/ROW]
[ROW][C]0.18[/C][C]101.336240224431[/C][C]2.09319470891629[/C][/ROW]
[ROW][C]0.19[/C][C]101.806307895584[/C][C]1.95086169673298[/C][/ROW]
[ROW][C]0.2[/C][C]102.237334238546[/C][C]1.82892474672023[/C][/ROW]
[ROW][C]0.21[/C][C]102.635180986847[/C][C]1.73241860281995[/C][/ROW]
[ROW][C]0.22[/C][C]103.006522540061[/C][C]1.66460804787585[/C][/ROW]
[ROW][C]0.23[/C][C]103.358382951187[/C][C]1.62774874399115[/C][/ROW]
[ROW][C]0.24[/C][C]103.697787939736[/C][C]1.62359444663199[/C][/ROW]
[ROW][C]0.25[/C][C]104.031473495822[/C][C]1.65224794835023[/C][/ROW]
[ROW][C]0.26[/C][C]104.365600219574[/C][C]1.71139723021285[/C][/ROW]
[ROW][C]0.27[/C][C]104.705454230857[/C][C]1.79591369877536[/C][/ROW]
[ROW][C]0.28[/C][C]105.055152038802[/C][C]1.89793932402456[/C][/ROW]
[ROW][C]0.29[/C][C]105.417393800434[/C][C]2.00811577222344[/C][/ROW]
[ROW][C]0.3[/C][C]105.793319206865[/C][C]2.11636491378430[/C][/ROW]
[ROW][C]0.31[/C][C]106.182511558866[/C][C]2.21311990213609[/C][/ROW]
[ROW][C]0.32[/C][C]106.583172241567[/C][C]2.29050287141560[/C][/ROW]
[ROW][C]0.33[/C][C]106.992456696190[/C][C]2.34371071195069[/C][/ROW]
[ROW][C]0.34[/C][C]107.406932065950[/C][C]2.37109961623835[/C][/ROW]
[ROW][C]0.35[/C][C]107.823093097307[/C][C]2.37441939962388[/C][/ROW]
[ROW][C]0.36[/C][C]108.237861523737[/C][C]2.35861041963359[/C][/ROW]
[ROW][C]0.37[/C][C]108.648996963367[/C][C]2.33108052813802[/C][/ROW]
[ROW][C]0.38[/C][C]109.055363142447[/C][C]2.30046712239756[/C][/ROW]
[ROW][C]0.39[/C][C]109.457018281089[/C][C]2.27562087182769[/C][/ROW]
[ROW][C]0.4[/C][C]109.855127483801[/C][C]2.26401399055590[/C][/ROW]
[ROW][C]0.41[/C][C]110.251722403796[/C][C]2.27043898707338[/C][/ROW]
[ROW][C]0.42[/C][C]110.649354581807[/C][C]2.2968918883033[/C][/ROW]
[ROW][C]0.43[/C][C]111.050700644671[/C][C]2.34191771440805[/C][/ROW]
[ROW][C]0.44[/C][C]111.458178956032[/C][C]2.40126014959277[/C][/ROW]
[ROW][C]0.45[/C][C]111.873629241418[/C][C]2.46927136670378[/C][/ROW]
[ROW][C]0.46[/C][C]112.298091559559[/C][C]2.53886943192782[/C][/ROW]
[ROW][C]0.47[/C][C]112.731702039480[/C][C]2.60363801344444[/C][/ROW]
[ROW][C]0.48[/C][C]113.173703560583[/C][C]2.65778021630227[/C][/ROW]
[ROW][C]0.49[/C][C]113.622553189875[/C][C]2.69713608144241[/C][/ROW]
[ROW][C]0.5[/C][C]114.076097082893[/C][C]2.71884257286307[/C][/ROW]
[ROW][C]0.51[/C][C]114.53177898251[/C][C]2.72174911762114[/C][/ROW]
[ROW][C]0.52[/C][C]114.986850455687[/C][C]2.70628171665309[/C][/ROW]
[ROW][C]0.53[/C][C]115.43855843856[/C][C]2.67335094063607[/C][/ROW]
[ROW][C]0.54[/C][C]115.884296401433[/C][C]2.62492236841727[/C][/ROW]
[ROW][C]0.55[/C][C]116.321716848036[/C][C]2.56311597249707[/C][/ROW]
[ROW][C]0.56[/C][C]116.748812299563[/C][C]2.4902625945421[/C][/ROW]
[ROW][C]0.57[/C][C]117.163977359215[/C][C]2.40840483471197[/C][/ROW]
[ROW][C]0.58[/C][C]117.566064956629[/C][C]2.320088166946[/C][/ROW]
[ROW][C]0.59[/C][C]117.954445781368[/C][C]2.22804586857383[/C][/ROW]
[ROW][C]0.6[/C][C]118.329072773665[/C][C]2.13521064246126[/C][/ROW]
[ROW][C]0.61[/C][C]118.690544664192[/C][C]2.04544650828321[/C][/ROW]
[ROW][C]0.62[/C][C]119.040156386296[/C][C]1.96304770922445[/C][/ROW]
[ROW][C]0.63[/C][C]119.379921606062[/C][C]1.89270179279737[/C][/ROW]
[ROW][C]0.64[/C][C]119.712554409671[/C][C]1.83884462897911[/C][/ROW]
[ROW][C]0.65[/C][C]120.041402810877[/C][C]1.80556552248334[/C][/ROW]
[ROW][C]0.66[/C][C]120.370334491994[/C][C]1.79584954794756[/C][/ROW]
[ROW][C]0.67[/C][C]120.703582731349[/C][C]1.81104558495041[/C][/ROW]
[ROW][C]0.68[/C][C]121.045565566006[/C][C]1.85104590175151[/C][/ROW]
[ROW][C]0.69[/C][C]121.400692522307[/C][C]1.91445836352778[/C][/ROW]
[ROW][C]0.7[/C][C]121.773170767995[/C][C]1.99845562611514[/C][/ROW]
[ROW][C]0.71[/C][C]122.166817934311[/C][C]2.09958412396152[/C][/ROW]
[ROW][C]0.72[/C][C]122.584885011246[/C][C]2.21371834760471[/C][/ROW]
[ROW][C]0.73[/C][C]123.029892913791[/C][C]2.33631218230721[/C][/ROW]
[ROW][C]0.74[/C][C]123.503492929694[/C][C]2.46182202141281[/C][/ROW]
[ROW][C]0.75[/C][C]124.006374270286[/C][C]2.58451684994302[/C][/ROW]
[ROW][C]0.76[/C][C]124.53825765912[/C][C]2.69855156970854[/C][/ROW]
[ROW][C]0.77[/C][C]125.098024501977[/C][C]2.79805401131484[/C][/ROW]
[ROW][C]0.78[/C][C]125.684025941631[/C][C]2.87893191011849[/C][/ROW]
[ROW][C]0.79[/C][C]126.294584745750[/C][C]2.93958818108501[/C][/ROW]
[ROW][C]0.8[/C][C]126.928641439512[/C][C]2.9823847128746[/C][/ROW]
[ROW][C]0.81[/C][C]127.586413419108[/C][C]3.01443126367991[/C][/ROW]
[ROW][C]0.82[/C][C]128.269859501105[/C][C]3.04709299164328[/C][/ROW]
[ROW][C]0.83[/C][C]128.982718135546[/C][C]3.0929755412036[/C][/ROW]
[ROW][C]0.84[/C][C]129.729968442421[/C][C]3.16147021596437[/C][/ROW]
[ROW][C]0.85[/C][C]130.516786224900[/C][C]3.25331491330894[/C][/ROW]
[ROW][C]0.86[/C][C]131.347418642282[/C][C]3.35701949382489[/C][/ROW]
[ROW][C]0.87[/C][C]132.224782776370[/C][C]3.45186377472483[/C][/ROW]
[ROW][C]0.88[/C][C]133.151805656543[/C][C]3.51720637962695[/C][/ROW]
[ROW][C]0.89[/C][C]134.135295234944[/C][C]3.54751048509757[/C][/ROW]
[ROW][C]0.9[/C][C]135.192218501497[/C][C]3.56848906999609[/C][/ROW]
[ROW][C]0.91[/C][C]136.356623907987[/C][C]3.64786355108158[/C][/ROW]
[ROW][C]0.92[/C][C]137.68347116074[/C][C]3.8822324423212[/C][/ROW]
[ROW][C]0.93[/C][C]139.244301650117[/C][C]4.34144940496199[/C][/ROW]
[ROW][C]0.94[/C][C]141.110390464471[/C][C]4.99208676957881[/C][/ROW]
[ROW][C]0.95[/C][C]143.322695258555[/C][C]5.66223524752564[/C][/ROW]
[ROW][C]0.96[/C][C]145.853470499692[/C][C]6.07265804690025[/C][/ROW]
[ROW][C]0.97[/C][C]148.568325532795[/C][C]5.94021282946176[/C][/ROW]
[ROW][C]0.98[/C][C]151.198976225900[/C][C]5.18165870022681[/C][/ROW]
[ROW][C]0.99[/C][C]153.349198873361[/C][C]4.16065144305431[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19469&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19469&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
0.0186.19289184106322.05408018842346
0.0287.17766338786712.28532670379344
0.0388.37976506021762.71827817122137
0.0489.66568111446333.08221168423058
0.0590.94785937378263.21407355003489
0.0692.16714898138823.12840035801091
0.0793.28858838450042.94035908953944
0.0894.30253942804582.77213593607613
0.0995.22022854954652.68973009218083
0.196.06342375490532.68848467075819
0.1196.85367318725232.72328486125805
0.1297.60552807663512.74659795823982
0.1398.32481204796522.72894643426669
0.1499.01052845444522.66087701064221
0.1599.65824859680082.54813976211407
0.16100.2632692040822.40511718785048
0.17100.8226826498062.24843300486441
0.18101.3362402244312.09319470891629
0.19101.8063078955841.95086169673298
0.2102.2373342385461.82892474672023
0.21102.6351809868471.73241860281995
0.22103.0065225400611.66460804787585
0.23103.3583829511871.62774874399115
0.24103.6977879397361.62359444663199
0.25104.0314734958221.65224794835023
0.26104.3656002195741.71139723021285
0.27104.7054542308571.79591369877536
0.28105.0551520388021.89793932402456
0.29105.4173938004342.00811577222344
0.3105.7933192068652.11636491378430
0.31106.1825115588662.21311990213609
0.32106.5831722415672.29050287141560
0.33106.9924566961902.34371071195069
0.34107.4069320659502.37109961623835
0.35107.8230930973072.37441939962388
0.36108.2378615237372.35861041963359
0.37108.6489969633672.33108052813802
0.38109.0553631424472.30046712239756
0.39109.4570182810892.27562087182769
0.4109.8551274838012.26401399055590
0.41110.2517224037962.27043898707338
0.42110.6493545818072.2968918883033
0.43111.0507006446712.34191771440805
0.44111.4581789560322.40126014959277
0.45111.8736292414182.46927136670378
0.46112.2980915595592.53886943192782
0.47112.7317020394802.60363801344444
0.48113.1737035605832.65778021630227
0.49113.6225531898752.69713608144241
0.5114.0760970828932.71884257286307
0.51114.531778982512.72174911762114
0.52114.9868504556872.70628171665309
0.53115.438558438562.67335094063607
0.54115.8842964014332.62492236841727
0.55116.3217168480362.56311597249707
0.56116.7488122995632.4902625945421
0.57117.1639773592152.40840483471197
0.58117.5660649566292.320088166946
0.59117.9544457813682.22804586857383
0.6118.3290727736652.13521064246126
0.61118.6905446641922.04544650828321
0.62119.0401563862961.96304770922445
0.63119.3799216060621.89270179279737
0.64119.7125544096711.83884462897911
0.65120.0414028108771.80556552248334
0.66120.3703344919941.79584954794756
0.67120.7035827313491.81104558495041
0.68121.0455655660061.85104590175151
0.69121.4006925223071.91445836352778
0.7121.7731707679951.99845562611514
0.71122.1668179343112.09958412396152
0.72122.5848850112462.21371834760471
0.73123.0298929137912.33631218230721
0.74123.5034929296942.46182202141281
0.75124.0063742702862.58451684994302
0.76124.538257659122.69855156970854
0.77125.0980245019772.79805401131484
0.78125.6840259416312.87893191011849
0.79126.2945847457502.93958818108501
0.8126.9286414395122.9823847128746
0.81127.5864134191083.01443126367991
0.82128.2698595011053.04709299164328
0.83128.9827181355463.0929755412036
0.84129.7299684424213.16147021596437
0.85130.5167862249003.25331491330894
0.86131.3474186422823.35701949382489
0.87132.2247827763703.45186377472483
0.88133.1518056565433.51720637962695
0.89134.1352952349443.54751048509757
0.9135.1922185014973.56848906999609
0.91136.3566239079873.64786355108158
0.92137.683471160743.8822324423212
0.93139.2443016501174.34144940496199
0.94141.1103904644714.99208676957881
0.95143.3226952585555.66223524752564
0.96145.8534704996926.07265804690025
0.97148.5683255327955.94021282946176
0.98151.1989762259005.18165870022681
0.99153.3491988733614.16065144305431


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')