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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 computationFri, 23 Oct 2009 08:56:53 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/23/t12563099161nrtpvvu4j7mcgl.htm/, Retrieved Thu, 02 May 2024 07:42:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49998, Retrieved Thu, 02 May 2024 07:42:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact142

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
-   PD      [Univariate Data Series] [Workshop 3, part 2] [2009-10-21 16:17:15] [b6394cb5c2dcec6d17418d3cdf42d699]
- RMP           [Harrell-Davis Quantiles] [WS 3 review 3 har...] [2009-10-23 14:56:53] [51118f1042b56b16d340924f16263174] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.65
0.55
0.45
0.35
0.35
0.35
0.35
0.45
0.75
0.45
0.35
0.35
0.45
0.55
0.75
0.75
0.75
0.75
0.65
0.65
0.55
0.35
-0.05
-0.35
-0.25
-0.05
0.05
-0.15
-0.25
-0.35
-0.35
-0.25
-0.25
-0.55
-0.55
-0.65
-0.75
-0.65
-0.75
-0.65
-0.65
-0.75
-0.85
-0.95
-0.95
-0.75
-0.35
-0.25
-0.35
-0.65
-0.65
-0.55
-0.15
0.05
0.25
0.35
0.35
0.55
0.55
0.55

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49998&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49998&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49998&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.005-0.9472761652050870.0106372924655741
0.015-0.9347954037395930.0399443219362356
0.025-0.9125780857148460.0664736669777355
0.035-0.8833146225503950.0805062095412318
0.045-0.8513913805299070.0814229005976182
0.055-0.820742918927850.0738839434959251
0.065-0.7936861455431750.0635946569114052
0.075-0.7708473532705510.0549012983010435
0.085-0.7517155570476920.0498414499374453
0.095-0.7353161413376560.0481229820983132
0.105-0.7207049799978910.0481720402723379
0.115-0.7071995148339430.0485239748336465
0.125-0.6943963968145560.0485019811312735
0.135-0.6820731251118680.0482278117358524
0.145-0.6700636177300730.0483742948752418
0.155-0.6581655921034460.0498159580039982
0.165-0.6461025907382780.0532437053925176
0.175-0.6335369915185130.0588823221354323
0.185-0.6201160340666540.0664648196865977
0.195-0.605529374423730.075394130311007
0.205-0.5895602392673540.0849218649241371
0.215-0.5721189469045590.0942714374627787
0.225-0.5532544221898070.102722590665943
0.235-0.5331447173788950.109675350043251
0.245-0.5120709555422470.114701594337622
0.255-0.4903807234530950.117578166617156
0.265-0.4684472081071380.118294647616246
0.275-0.4466297388415900.117041442453512
0.285-0.4252402003329350.114176682550506
0.295-0.404518263273890.110174997678113
0.305-0.3846167468656820.105573206270083
0.315-0.3655968906075380.100913916631039
0.325-0.3474320786328560.0966988405867688
0.335-0.3300177895756210.0933557024986561
0.345-0.3131853081684910.0912221121847104
0.355-0.2967169847761740.090540896491559
0.365-0.2803614166785830.0914678378839537
0.375-0.2638476458387310.0940776073932996
0.385-0.2468981244820640.0983702543593764
0.395-0.2292406535826240.104272715052424
0.405-0.2106196965861250.111640640202593
0.415-0.1908074364080420.120261700055062
0.425-0.1696147519158860.129859538310332
0.435-0.1469020260783720.140099270709811
0.445-0.1225894288912680.150592050304402
0.455-0.0966660813332750.160903122989547
0.465-0.06919731599259710.170563224216635
0.475-0.04032911387970180.179082020625673
0.485-0.01028873465005330.185971580244998
0.4950.02061939413992780.190774507361499
0.5050.0520232580507640.193098419571263
0.5150.08349863991655510.192652964993475
0.5250.1145900526768180.189284840976863
0.5350.1448362406959230.183005173151291
0.5450.1737985110299530.174004732935107
0.5550.2010895069566030.162651632973915
0.5650.2263996421462590.149471521135046
0.5750.2495183878723660.135110545824272
0.5850.2703479955968260.120285630288191
0.5950.2889080101981190.105729929439552
0.6050.3053299752152090.0921401489748494
0.6150.3198428865195830.0801303634075728
0.6250.3327510303345790.0701958570497943
0.6350.3444066774715380.0626736934979108
0.6450.3551805771484910.057694439530333
0.6550.3654332463987090.0551382189792809
0.6650.3754897034266930.0546401952614449
0.6750.3856196314503010.0556724381921267
0.6850.3960241217422860.057661188492782
0.6950.4068292964944180.0600741871528392
0.7050.418086414595810.0624609424664248
0.7150.4297776344384400.0644610986500171
0.7250.4418264860466050.0658019662013886
0.7350.4541122259751490.066297640653821
0.7450.4664874496136790.0658487961615314
0.7550.478798397633870.0644489980201022
0.7650.490907121370630.0621933028892579
0.7750.5027139950910690.0592875007895222
0.7850.5141781171608560.0560524399142082
0.7950.5253322872413950.0529084112992393
0.8050.5362889805251340.0503415020000499
0.8150.547234498717490.0488177135271724
0.8250.5584103732807770.0486560947211637
0.8350.5700837086650610.049905899040155
0.8450.5825105320814220.0523144791745369
0.8550.5958972309754430.0554139358563055
0.8650.6103641729450290.0586566605196356
0.8750.625913195802720.0615090258488393
0.8850.6423988540437120.0634713606899548
0.8950.6595047489403360.0640389114281764
0.9050.6767322005182150.0626708371473989
0.9150.6934165287459330.0588552426169845
0.9250.7087896011198730.0523077456822387
0.9350.722098040401610.0432456616933658
0.9450.7327616895603940.0325630316431003
0.9550.7405252655933650.0217309590655239
0.9650.7455377252037550.0123650916890183
0.9750.7483093377331940.0056293206780595
0.9850.749548975731230.00179447695563684

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.005 & -0.947276165205087 & 0.0106372924655741 \tabularnewline
0.015 & -0.934795403739593 & 0.0399443219362356 \tabularnewline
0.025 & -0.912578085714846 & 0.0664736669777355 \tabularnewline
0.035 & -0.883314622550395 & 0.0805062095412318 \tabularnewline
0.045 & -0.851391380529907 & 0.0814229005976182 \tabularnewline
0.055 & -0.82074291892785 & 0.0738839434959251 \tabularnewline
0.065 & -0.793686145543175 & 0.0635946569114052 \tabularnewline
0.075 & -0.770847353270551 & 0.0549012983010435 \tabularnewline
0.085 & -0.751715557047692 & 0.0498414499374453 \tabularnewline
0.095 & -0.735316141337656 & 0.0481229820983132 \tabularnewline
0.105 & -0.720704979997891 & 0.0481720402723379 \tabularnewline
0.115 & -0.707199514833943 & 0.0485239748336465 \tabularnewline
0.125 & -0.694396396814556 & 0.0485019811312735 \tabularnewline
0.135 & -0.682073125111868 & 0.0482278117358524 \tabularnewline
0.145 & -0.670063617730073 & 0.0483742948752418 \tabularnewline
0.155 & -0.658165592103446 & 0.0498159580039982 \tabularnewline
0.165 & -0.646102590738278 & 0.0532437053925176 \tabularnewline
0.175 & -0.633536991518513 & 0.0588823221354323 \tabularnewline
0.185 & -0.620116034066654 & 0.0664648196865977 \tabularnewline
0.195 & -0.60552937442373 & 0.075394130311007 \tabularnewline
0.205 & -0.589560239267354 & 0.0849218649241371 \tabularnewline
0.215 & -0.572118946904559 & 0.0942714374627787 \tabularnewline
0.225 & -0.553254422189807 & 0.102722590665943 \tabularnewline
0.235 & -0.533144717378895 & 0.109675350043251 \tabularnewline
0.245 & -0.512070955542247 & 0.114701594337622 \tabularnewline
0.255 & -0.490380723453095 & 0.117578166617156 \tabularnewline
0.265 & -0.468447208107138 & 0.118294647616246 \tabularnewline
0.275 & -0.446629738841590 & 0.117041442453512 \tabularnewline
0.285 & -0.425240200332935 & 0.114176682550506 \tabularnewline
0.295 & -0.40451826327389 & 0.110174997678113 \tabularnewline
0.305 & -0.384616746865682 & 0.105573206270083 \tabularnewline
0.315 & -0.365596890607538 & 0.100913916631039 \tabularnewline
0.325 & -0.347432078632856 & 0.0966988405867688 \tabularnewline
0.335 & -0.330017789575621 & 0.0933557024986561 \tabularnewline
0.345 & -0.313185308168491 & 0.0912221121847104 \tabularnewline
0.355 & -0.296716984776174 & 0.090540896491559 \tabularnewline
0.365 & -0.280361416678583 & 0.0914678378839537 \tabularnewline
0.375 & -0.263847645838731 & 0.0940776073932996 \tabularnewline
0.385 & -0.246898124482064 & 0.0983702543593764 \tabularnewline
0.395 & -0.229240653582624 & 0.104272715052424 \tabularnewline
0.405 & -0.210619696586125 & 0.111640640202593 \tabularnewline
0.415 & -0.190807436408042 & 0.120261700055062 \tabularnewline
0.425 & -0.169614751915886 & 0.129859538310332 \tabularnewline
0.435 & -0.146902026078372 & 0.140099270709811 \tabularnewline
0.445 & -0.122589428891268 & 0.150592050304402 \tabularnewline
0.455 & -0.096666081333275 & 0.160903122989547 \tabularnewline
0.465 & -0.0691973159925971 & 0.170563224216635 \tabularnewline
0.475 & -0.0403291138797018 & 0.179082020625673 \tabularnewline
0.485 & -0.0102887346500533 & 0.185971580244998 \tabularnewline
0.495 & 0.0206193941399278 & 0.190774507361499 \tabularnewline
0.505 & 0.052023258050764 & 0.193098419571263 \tabularnewline
0.515 & 0.0834986399165551 & 0.192652964993475 \tabularnewline
0.525 & 0.114590052676818 & 0.189284840976863 \tabularnewline
0.535 & 0.144836240695923 & 0.183005173151291 \tabularnewline
0.545 & 0.173798511029953 & 0.174004732935107 \tabularnewline
0.555 & 0.201089506956603 & 0.162651632973915 \tabularnewline
0.565 & 0.226399642146259 & 0.149471521135046 \tabularnewline
0.575 & 0.249518387872366 & 0.135110545824272 \tabularnewline
0.585 & 0.270347995596826 & 0.120285630288191 \tabularnewline
0.595 & 0.288908010198119 & 0.105729929439552 \tabularnewline
0.605 & 0.305329975215209 & 0.0921401489748494 \tabularnewline
0.615 & 0.319842886519583 & 0.0801303634075728 \tabularnewline
0.625 & 0.332751030334579 & 0.0701958570497943 \tabularnewline
0.635 & 0.344406677471538 & 0.0626736934979108 \tabularnewline
0.645 & 0.355180577148491 & 0.057694439530333 \tabularnewline
0.655 & 0.365433246398709 & 0.0551382189792809 \tabularnewline
0.665 & 0.375489703426693 & 0.0546401952614449 \tabularnewline
0.675 & 0.385619631450301 & 0.0556724381921267 \tabularnewline
0.685 & 0.396024121742286 & 0.057661188492782 \tabularnewline
0.695 & 0.406829296494418 & 0.0600741871528392 \tabularnewline
0.705 & 0.41808641459581 & 0.0624609424664248 \tabularnewline
0.715 & 0.429777634438440 & 0.0644610986500171 \tabularnewline
0.725 & 0.441826486046605 & 0.0658019662013886 \tabularnewline
0.735 & 0.454112225975149 & 0.066297640653821 \tabularnewline
0.745 & 0.466487449613679 & 0.0658487961615314 \tabularnewline
0.755 & 0.47879839763387 & 0.0644489980201022 \tabularnewline
0.765 & 0.49090712137063 & 0.0621933028892579 \tabularnewline
0.775 & 0.502713995091069 & 0.0592875007895222 \tabularnewline
0.785 & 0.514178117160856 & 0.0560524399142082 \tabularnewline
0.795 & 0.525332287241395 & 0.0529084112992393 \tabularnewline
0.805 & 0.536288980525134 & 0.0503415020000499 \tabularnewline
0.815 & 0.54723449871749 & 0.0488177135271724 \tabularnewline
0.825 & 0.558410373280777 & 0.0486560947211637 \tabularnewline
0.835 & 0.570083708665061 & 0.049905899040155 \tabularnewline
0.845 & 0.582510532081422 & 0.0523144791745369 \tabularnewline
0.855 & 0.595897230975443 & 0.0554139358563055 \tabularnewline
0.865 & 0.610364172945029 & 0.0586566605196356 \tabularnewline
0.875 & 0.62591319580272 & 0.0615090258488393 \tabularnewline
0.885 & 0.642398854043712 & 0.0634713606899548 \tabularnewline
0.895 & 0.659504748940336 & 0.0640389114281764 \tabularnewline
0.905 & 0.676732200518215 & 0.0626708371473989 \tabularnewline
0.915 & 0.693416528745933 & 0.0588552426169845 \tabularnewline
0.925 & 0.708789601119873 & 0.0523077456822387 \tabularnewline
0.935 & 0.72209804040161 & 0.0432456616933658 \tabularnewline
0.945 & 0.732761689560394 & 0.0325630316431003 \tabularnewline
0.955 & 0.740525265593365 & 0.0217309590655239 \tabularnewline
0.965 & 0.745537725203755 & 0.0123650916890183 \tabularnewline
0.975 & 0.748309337733194 & 0.0056293206780595 \tabularnewline
0.985 & 0.74954897573123 & 0.00179447695563684 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49998&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.005[/C][C]-0.947276165205087[/C][C]0.0106372924655741[/C][/ROW]
[ROW][C]0.015[/C][C]-0.934795403739593[/C][C]0.0399443219362356[/C][/ROW]
[ROW][C]0.025[/C][C]-0.912578085714846[/C][C]0.0664736669777355[/C][/ROW]
[ROW][C]0.035[/C][C]-0.883314622550395[/C][C]0.0805062095412318[/C][/ROW]
[ROW][C]0.045[/C][C]-0.851391380529907[/C][C]0.0814229005976182[/C][/ROW]
[ROW][C]0.055[/C][C]-0.82074291892785[/C][C]0.0738839434959251[/C][/ROW]
[ROW][C]0.065[/C][C]-0.793686145543175[/C][C]0.0635946569114052[/C][/ROW]
[ROW][C]0.075[/C][C]-0.770847353270551[/C][C]0.0549012983010435[/C][/ROW]
[ROW][C]0.085[/C][C]-0.751715557047692[/C][C]0.0498414499374453[/C][/ROW]
[ROW][C]0.095[/C][C]-0.735316141337656[/C][C]0.0481229820983132[/C][/ROW]
[ROW][C]0.105[/C][C]-0.720704979997891[/C][C]0.0481720402723379[/C][/ROW]
[ROW][C]0.115[/C][C]-0.707199514833943[/C][C]0.0485239748336465[/C][/ROW]
[ROW][C]0.125[/C][C]-0.694396396814556[/C][C]0.0485019811312735[/C][/ROW]
[ROW][C]0.135[/C][C]-0.682073125111868[/C][C]0.0482278117358524[/C][/ROW]
[ROW][C]0.145[/C][C]-0.670063617730073[/C][C]0.0483742948752418[/C][/ROW]
[ROW][C]0.155[/C][C]-0.658165592103446[/C][C]0.0498159580039982[/C][/ROW]
[ROW][C]0.165[/C][C]-0.646102590738278[/C][C]0.0532437053925176[/C][/ROW]
[ROW][C]0.175[/C][C]-0.633536991518513[/C][C]0.0588823221354323[/C][/ROW]
[ROW][C]0.185[/C][C]-0.620116034066654[/C][C]0.0664648196865977[/C][/ROW]
[ROW][C]0.195[/C][C]-0.60552937442373[/C][C]0.075394130311007[/C][/ROW]
[ROW][C]0.205[/C][C]-0.589560239267354[/C][C]0.0849218649241371[/C][/ROW]
[ROW][C]0.215[/C][C]-0.572118946904559[/C][C]0.0942714374627787[/C][/ROW]
[ROW][C]0.225[/C][C]-0.553254422189807[/C][C]0.102722590665943[/C][/ROW]
[ROW][C]0.235[/C][C]-0.533144717378895[/C][C]0.109675350043251[/C][/ROW]
[ROW][C]0.245[/C][C]-0.512070955542247[/C][C]0.114701594337622[/C][/ROW]
[ROW][C]0.255[/C][C]-0.490380723453095[/C][C]0.117578166617156[/C][/ROW]
[ROW][C]0.265[/C][C]-0.468447208107138[/C][C]0.118294647616246[/C][/ROW]
[ROW][C]0.275[/C][C]-0.446629738841590[/C][C]0.117041442453512[/C][/ROW]
[ROW][C]0.285[/C][C]-0.425240200332935[/C][C]0.114176682550506[/C][/ROW]
[ROW][C]0.295[/C][C]-0.40451826327389[/C][C]0.110174997678113[/C][/ROW]
[ROW][C]0.305[/C][C]-0.384616746865682[/C][C]0.105573206270083[/C][/ROW]
[ROW][C]0.315[/C][C]-0.365596890607538[/C][C]0.100913916631039[/C][/ROW]
[ROW][C]0.325[/C][C]-0.347432078632856[/C][C]0.0966988405867688[/C][/ROW]
[ROW][C]0.335[/C][C]-0.330017789575621[/C][C]0.0933557024986561[/C][/ROW]
[ROW][C]0.345[/C][C]-0.313185308168491[/C][C]0.0912221121847104[/C][/ROW]
[ROW][C]0.355[/C][C]-0.296716984776174[/C][C]0.090540896491559[/C][/ROW]
[ROW][C]0.365[/C][C]-0.280361416678583[/C][C]0.0914678378839537[/C][/ROW]
[ROW][C]0.375[/C][C]-0.263847645838731[/C][C]0.0940776073932996[/C][/ROW]
[ROW][C]0.385[/C][C]-0.246898124482064[/C][C]0.0983702543593764[/C][/ROW]
[ROW][C]0.395[/C][C]-0.229240653582624[/C][C]0.104272715052424[/C][/ROW]
[ROW][C]0.405[/C][C]-0.210619696586125[/C][C]0.111640640202593[/C][/ROW]
[ROW][C]0.415[/C][C]-0.190807436408042[/C][C]0.120261700055062[/C][/ROW]
[ROW][C]0.425[/C][C]-0.169614751915886[/C][C]0.129859538310332[/C][/ROW]
[ROW][C]0.435[/C][C]-0.146902026078372[/C][C]0.140099270709811[/C][/ROW]
[ROW][C]0.445[/C][C]-0.122589428891268[/C][C]0.150592050304402[/C][/ROW]
[ROW][C]0.455[/C][C]-0.096666081333275[/C][C]0.160903122989547[/C][/ROW]
[ROW][C]0.465[/C][C]-0.0691973159925971[/C][C]0.170563224216635[/C][/ROW]
[ROW][C]0.475[/C][C]-0.0403291138797018[/C][C]0.179082020625673[/C][/ROW]
[ROW][C]0.485[/C][C]-0.0102887346500533[/C][C]0.185971580244998[/C][/ROW]
[ROW][C]0.495[/C][C]0.0206193941399278[/C][C]0.190774507361499[/C][/ROW]
[ROW][C]0.505[/C][C]0.052023258050764[/C][C]0.193098419571263[/C][/ROW]
[ROW][C]0.515[/C][C]0.0834986399165551[/C][C]0.192652964993475[/C][/ROW]
[ROW][C]0.525[/C][C]0.114590052676818[/C][C]0.189284840976863[/C][/ROW]
[ROW][C]0.535[/C][C]0.144836240695923[/C][C]0.183005173151291[/C][/ROW]
[ROW][C]0.545[/C][C]0.173798511029953[/C][C]0.174004732935107[/C][/ROW]
[ROW][C]0.555[/C][C]0.201089506956603[/C][C]0.162651632973915[/C][/ROW]
[ROW][C]0.565[/C][C]0.226399642146259[/C][C]0.149471521135046[/C][/ROW]
[ROW][C]0.575[/C][C]0.249518387872366[/C][C]0.135110545824272[/C][/ROW]
[ROW][C]0.585[/C][C]0.270347995596826[/C][C]0.120285630288191[/C][/ROW]
[ROW][C]0.595[/C][C]0.288908010198119[/C][C]0.105729929439552[/C][/ROW]
[ROW][C]0.605[/C][C]0.305329975215209[/C][C]0.0921401489748494[/C][/ROW]
[ROW][C]0.615[/C][C]0.319842886519583[/C][C]0.0801303634075728[/C][/ROW]
[ROW][C]0.625[/C][C]0.332751030334579[/C][C]0.0701958570497943[/C][/ROW]
[ROW][C]0.635[/C][C]0.344406677471538[/C][C]0.0626736934979108[/C][/ROW]
[ROW][C]0.645[/C][C]0.355180577148491[/C][C]0.057694439530333[/C][/ROW]
[ROW][C]0.655[/C][C]0.365433246398709[/C][C]0.0551382189792809[/C][/ROW]
[ROW][C]0.665[/C][C]0.375489703426693[/C][C]0.0546401952614449[/C][/ROW]
[ROW][C]0.675[/C][C]0.385619631450301[/C][C]0.0556724381921267[/C][/ROW]
[ROW][C]0.685[/C][C]0.396024121742286[/C][C]0.057661188492782[/C][/ROW]
[ROW][C]0.695[/C][C]0.406829296494418[/C][C]0.0600741871528392[/C][/ROW]
[ROW][C]0.705[/C][C]0.41808641459581[/C][C]0.0624609424664248[/C][/ROW]
[ROW][C]0.715[/C][C]0.429777634438440[/C][C]0.0644610986500171[/C][/ROW]
[ROW][C]0.725[/C][C]0.441826486046605[/C][C]0.0658019662013886[/C][/ROW]
[ROW][C]0.735[/C][C]0.454112225975149[/C][C]0.066297640653821[/C][/ROW]
[ROW][C]0.745[/C][C]0.466487449613679[/C][C]0.0658487961615314[/C][/ROW]
[ROW][C]0.755[/C][C]0.47879839763387[/C][C]0.0644489980201022[/C][/ROW]
[ROW][C]0.765[/C][C]0.49090712137063[/C][C]0.0621933028892579[/C][/ROW]
[ROW][C]0.775[/C][C]0.502713995091069[/C][C]0.0592875007895222[/C][/ROW]
[ROW][C]0.785[/C][C]0.514178117160856[/C][C]0.0560524399142082[/C][/ROW]
[ROW][C]0.795[/C][C]0.525332287241395[/C][C]0.0529084112992393[/C][/ROW]
[ROW][C]0.805[/C][C]0.536288980525134[/C][C]0.0503415020000499[/C][/ROW]
[ROW][C]0.815[/C][C]0.54723449871749[/C][C]0.0488177135271724[/C][/ROW]
[ROW][C]0.825[/C][C]0.558410373280777[/C][C]0.0486560947211637[/C][/ROW]
[ROW][C]0.835[/C][C]0.570083708665061[/C][C]0.049905899040155[/C][/ROW]
[ROW][C]0.845[/C][C]0.582510532081422[/C][C]0.0523144791745369[/C][/ROW]
[ROW][C]0.855[/C][C]0.595897230975443[/C][C]0.0554139358563055[/C][/ROW]
[ROW][C]0.865[/C][C]0.610364172945029[/C][C]0.0586566605196356[/C][/ROW]
[ROW][C]0.875[/C][C]0.62591319580272[/C][C]0.0615090258488393[/C][/ROW]
[ROW][C]0.885[/C][C]0.642398854043712[/C][C]0.0634713606899548[/C][/ROW]
[ROW][C]0.895[/C][C]0.659504748940336[/C][C]0.0640389114281764[/C][/ROW]
[ROW][C]0.905[/C][C]0.676732200518215[/C][C]0.0626708371473989[/C][/ROW]
[ROW][C]0.915[/C][C]0.693416528745933[/C][C]0.0588552426169845[/C][/ROW]
[ROW][C]0.925[/C][C]0.708789601119873[/C][C]0.0523077456822387[/C][/ROW]
[ROW][C]0.935[/C][C]0.72209804040161[/C][C]0.0432456616933658[/C][/ROW]
[ROW][C]0.945[/C][C]0.732761689560394[/C][C]0.0325630316431003[/C][/ROW]
[ROW][C]0.955[/C][C]0.740525265593365[/C][C]0.0217309590655239[/C][/ROW]
[ROW][C]0.965[/C][C]0.745537725203755[/C][C]0.0123650916890183[/C][/ROW]
[ROW][C]0.975[/C][C]0.748309337733194[/C][C]0.0056293206780595[/C][/ROW]
[ROW][C]0.985[/C][C]0.74954897573123[/C][C]0.00179447695563684[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49998&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49998&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
0.005-0.9472761652050870.0106372924655741
0.015-0.9347954037395930.0399443219362356
0.025-0.9125780857148460.0664736669777355
0.035-0.8833146225503950.0805062095412318
0.045-0.8513913805299070.0814229005976182
0.055-0.820742918927850.0738839434959251
0.065-0.7936861455431750.0635946569114052
0.075-0.7708473532705510.0549012983010435
0.085-0.7517155570476920.0498414499374453
0.095-0.7353161413376560.0481229820983132
0.105-0.7207049799978910.0481720402723379
0.115-0.7071995148339430.0485239748336465
0.125-0.6943963968145560.0485019811312735
0.135-0.6820731251118680.0482278117358524
0.145-0.6700636177300730.0483742948752418
0.155-0.6581655921034460.0498159580039982
0.165-0.6461025907382780.0532437053925176
0.175-0.6335369915185130.0588823221354323
0.185-0.6201160340666540.0664648196865977
0.195-0.605529374423730.075394130311007
0.205-0.5895602392673540.0849218649241371
0.215-0.5721189469045590.0942714374627787
0.225-0.5532544221898070.102722590665943
0.235-0.5331447173788950.109675350043251
0.245-0.5120709555422470.114701594337622
0.255-0.4903807234530950.117578166617156
0.265-0.4684472081071380.118294647616246
0.275-0.4466297388415900.117041442453512
0.285-0.4252402003329350.114176682550506
0.295-0.404518263273890.110174997678113
0.305-0.3846167468656820.105573206270083
0.315-0.3655968906075380.100913916631039
0.325-0.3474320786328560.0966988405867688
0.335-0.3300177895756210.0933557024986561
0.345-0.3131853081684910.0912221121847104
0.355-0.2967169847761740.090540896491559
0.365-0.2803614166785830.0914678378839537
0.375-0.2638476458387310.0940776073932996
0.385-0.2468981244820640.0983702543593764
0.395-0.2292406535826240.104272715052424
0.405-0.2106196965861250.111640640202593
0.415-0.1908074364080420.120261700055062
0.425-0.1696147519158860.129859538310332
0.435-0.1469020260783720.140099270709811
0.445-0.1225894288912680.150592050304402
0.455-0.0966660813332750.160903122989547
0.465-0.06919731599259710.170563224216635
0.475-0.04032911387970180.179082020625673
0.485-0.01028873465005330.185971580244998
0.4950.02061939413992780.190774507361499
0.5050.0520232580507640.193098419571263
0.5150.08349863991655510.192652964993475
0.5250.1145900526768180.189284840976863
0.5350.1448362406959230.183005173151291
0.5450.1737985110299530.174004732935107
0.5550.2010895069566030.162651632973915
0.5650.2263996421462590.149471521135046
0.5750.2495183878723660.135110545824272
0.5850.2703479955968260.120285630288191
0.5950.2889080101981190.105729929439552
0.6050.3053299752152090.0921401489748494
0.6150.3198428865195830.0801303634075728
0.6250.3327510303345790.0701958570497943
0.6350.3444066774715380.0626736934979108
0.6450.3551805771484910.057694439530333
0.6550.3654332463987090.0551382189792809
0.6650.3754897034266930.0546401952614449
0.6750.3856196314503010.0556724381921267
0.6850.3960241217422860.057661188492782
0.6950.4068292964944180.0600741871528392
0.7050.418086414595810.0624609424664248
0.7150.4297776344384400.0644610986500171
0.7250.4418264860466050.0658019662013886
0.7350.4541122259751490.066297640653821
0.7450.4664874496136790.0658487961615314
0.7550.478798397633870.0644489980201022
0.7650.490907121370630.0621933028892579
0.7750.5027139950910690.0592875007895222
0.7850.5141781171608560.0560524399142082
0.7950.5253322872413950.0529084112992393
0.8050.5362889805251340.0503415020000499
0.8150.547234498717490.0488177135271724
0.8250.5584103732807770.0486560947211637
0.8350.5700837086650610.049905899040155
0.8450.5825105320814220.0523144791745369
0.8550.5958972309754430.0554139358563055
0.8650.6103641729450290.0586566605196356
0.8750.625913195802720.0615090258488393
0.8850.6423988540437120.0634713606899548
0.8950.6595047489403360.0640389114281764
0.9050.6767322005182150.0626708371473989
0.9150.6934165287459330.0588552426169845
0.9250.7087896011198730.0523077456822387
0.9350.722098040401610.0432456616933658
0.9450.7327616895603940.0325630316431003
0.9550.7405252655933650.0217309590655239
0.9650.7455377252037550.0123650916890183
0.9750.7483093377331940.0056293206780595
0.9850.749548975731230.00179447695563684


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.005 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.005 ; 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')