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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 computationSun, 26 Oct 2008 13:41:16 -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/26/t12250500976fdwzabafzohow9.htm/, Retrieved Sun, 19 May 2024 16:12:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19041, Retrieved Sun, 19 May 2024 16:12:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F   PD    [Harrell-Davis Quantiles] [] [2008-10-26 19:41:16] [c0a347e3519123f7eef62b705326dad9] [Current]
Feedback Forum
2008-11-03 17:55:31 [Jeroen Michel] [reply] 
Hier maak je wel de correcte beredenering, net zoals in task 1. Alleen ben je ook hier vergeten om de stepsize aan te passen!

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9,1
9,0
8,6
7,9
7,7
7,8
9,1
9,4
9,3
8,7
8,4
8,6
9,0
9,1
8,7
8,2
7,9
7,9
9,1
9,4
9,5
9,1
9,0
9,3
9,9
9,8
9,4
8,3
8,0
8,5
10,4
11,1
10,9
9,9
9,2
9,2
9,5
9,6
9,5
9,1
8,9
9,0
10,1
10,3
10,2
9,6
9,2
9,3
9,4
9,4
9,2
9,0
9,0
9,0
9,8
10,0
9,9
9,3
9,0
9,0
9,1
9,1
9,1
9,2
8,8
8,3
8,4
8,1
7,8
7,9
7,9
8,0
7,9
7,5
7,2
6,9
6,6
6,7
7,3

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'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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19041&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19041&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19041&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.657320381257730.142647158309790
0.026.76513871465970.216471383606779
0.036.902638887503290.273491183045596
0.047.050496062597480.300051609257105
0.057.195303661537340.303623389757074
0.067.329245822596440.293157334630292
0.077.448503877077410.272869115914590
0.087.551562183830310.244616816505479
0.097.63817810762660.210970700078630
0.17.709040772724350.175740592380053
0.117.765699115902190.142936351833243
0.127.81043023224930.115798114091232
0.137.845979534058840.0965146458336113
0.147.87525056586190.0863666989583886
0.157.90102838487090.085628258632342
0.167.925772621176430.093192002951743
0.177.951480627781640.106952392803018
0.187.979611775287070.124541196194201
0.198.011067616570680.143779424351117
0.28.046225147947580.162805749371085
0.218.085016933885860.180156113480567
0.228.127044999826380.194884913692925
0.238.171709676552640.206546793913453
0.248.218332992867810.215168869475889
0.258.266259290870840.221147475869327
0.268.314922174540790.225014992516315
0.278.363874603168640.227371246203832
0.288.412785908882160.228652553425072
0.298.461414403197680.229132258977506
0.38.50956654339260.228829950565282
0.318.557053603582480.227555391296013
0.328.603655118380190.224984239609633
0.338.649095786535030.220710720318561
0.348.693039593421830.214360962235617
0.358.735101933588220.205687042646999
0.368.774877638464320.194605557535000
0.378.811980213546790.181279777542063
0.388.846085567989820.166124477132225
0.398.87697248276950.149773248258973
0.48.904552367238510.133000904689212
0.418.928882617387230.116640558853611
0.428.950160873993370.101463479216987
0.438.968701098044190.088136839582457
0.448.984895840491660.07706632515612
0.458.999171601587090.0684133198719418
0.469.011945196770810.0620462478478324
0.479.023588384952160.0575936339654729
0.489.034405885546540.0545361725075759
0.499.04462885490090.0523806303367054
0.59.054422632806850.0507156577429204
0.519.063904830415340.0493492821571551
0.529.073168175083760.0482382005933072
0.539.082302239196260.0474880694399209
0.549.09140921342050.0473012357792437
0.559.10061089192180.0478754111294964
0.569.110046462107570.0493045339769442
0.579.119862915224790.0516095819621531
0.589.130201391699670.0546492364862102
0.599.141183248229240.0582324300428327
0.69.15289908036690.0621009815765007
0.619.165402634798560.0660380204972966
0.629.178709966130240.0698426172945813
0.639.192802837799470.0733604398967644
0.649.207634622024180.0764929821492483
0.659.223136976109230.0791744688457369
0.669.239226254516210.0813460859844985
0.679.255809637366710.0829724816800127
0.689.272791897923280.0840480651448862
0.699.290084216473780.08458163271264
0.79.307616258738930.0846602415957552
0.719.325351882014720.0844575895126709
0.729.343307538377180.0842104621958594
0.739.361571074203220.0843045882044037
0.749.380317543167930.0851716562755814
0.759.39981808319590.0872805033618257
0.769.420437879991750.0910638427936668
0.779.442619643381240.0968089573345528
0.789.46684984130880.104603139062920
0.799.493606504554730.114255086291958
0.89.523290488750690.125232396550510
0.819.556147471885770.136682728728789
0.829.59219568301170.147455677172394
0.839.63118255070500.156236658912459
0.849.6725978878330.1618225964424
0.859.71576613162230.163513618622905
0.869.760021050396440.161389577508518
0.879.804934289178110.156597610345446
0.889.850534805490240.151245647281983
0.899.897440762071660.147895202829203
0.99.946855220744050.148583734682040
0.9110.00047008985530.153869063728255
0.9210.06046331329320.162903558167393
0.9310.12986999608420.175123116452280
0.9410.21344590236710.192952907662217
0.9510.31844059169340.223046575522216
0.9610.45346812585400.269518136533503
0.9710.62286232999580.316801662279167
0.9810.81556722440990.32314342223853
0.9910.99389832064290.262462835273412

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.65732038125773 & 0.142647158309790 \tabularnewline
0.02 & 6.7651387146597 & 0.216471383606779 \tabularnewline
0.03 & 6.90263888750329 & 0.273491183045596 \tabularnewline
0.04 & 7.05049606259748 & 0.300051609257105 \tabularnewline
0.05 & 7.19530366153734 & 0.303623389757074 \tabularnewline
0.06 & 7.32924582259644 & 0.293157334630292 \tabularnewline
0.07 & 7.44850387707741 & 0.272869115914590 \tabularnewline
0.08 & 7.55156218383031 & 0.244616816505479 \tabularnewline
0.09 & 7.6381781076266 & 0.210970700078630 \tabularnewline
0.1 & 7.70904077272435 & 0.175740592380053 \tabularnewline
0.11 & 7.76569911590219 & 0.142936351833243 \tabularnewline
0.12 & 7.8104302322493 & 0.115798114091232 \tabularnewline
0.13 & 7.84597953405884 & 0.0965146458336113 \tabularnewline
0.14 & 7.8752505658619 & 0.0863666989583886 \tabularnewline
0.15 & 7.9010283848709 & 0.085628258632342 \tabularnewline
0.16 & 7.92577262117643 & 0.093192002951743 \tabularnewline
0.17 & 7.95148062778164 & 0.106952392803018 \tabularnewline
0.18 & 7.97961177528707 & 0.124541196194201 \tabularnewline
0.19 & 8.01106761657068 & 0.143779424351117 \tabularnewline
0.2 & 8.04622514794758 & 0.162805749371085 \tabularnewline
0.21 & 8.08501693388586 & 0.180156113480567 \tabularnewline
0.22 & 8.12704499982638 & 0.194884913692925 \tabularnewline
0.23 & 8.17170967655264 & 0.206546793913453 \tabularnewline
0.24 & 8.21833299286781 & 0.215168869475889 \tabularnewline
0.25 & 8.26625929087084 & 0.221147475869327 \tabularnewline
0.26 & 8.31492217454079 & 0.225014992516315 \tabularnewline
0.27 & 8.36387460316864 & 0.227371246203832 \tabularnewline
0.28 & 8.41278590888216 & 0.228652553425072 \tabularnewline
0.29 & 8.46141440319768 & 0.229132258977506 \tabularnewline
0.3 & 8.5095665433926 & 0.228829950565282 \tabularnewline
0.31 & 8.55705360358248 & 0.227555391296013 \tabularnewline
0.32 & 8.60365511838019 & 0.224984239609633 \tabularnewline
0.33 & 8.64909578653503 & 0.220710720318561 \tabularnewline
0.34 & 8.69303959342183 & 0.214360962235617 \tabularnewline
0.35 & 8.73510193358822 & 0.205687042646999 \tabularnewline
0.36 & 8.77487763846432 & 0.194605557535000 \tabularnewline
0.37 & 8.81198021354679 & 0.181279777542063 \tabularnewline
0.38 & 8.84608556798982 & 0.166124477132225 \tabularnewline
0.39 & 8.8769724827695 & 0.149773248258973 \tabularnewline
0.4 & 8.90455236723851 & 0.133000904689212 \tabularnewline
0.41 & 8.92888261738723 & 0.116640558853611 \tabularnewline
0.42 & 8.95016087399337 & 0.101463479216987 \tabularnewline
0.43 & 8.96870109804419 & 0.088136839582457 \tabularnewline
0.44 & 8.98489584049166 & 0.07706632515612 \tabularnewline
0.45 & 8.99917160158709 & 0.0684133198719418 \tabularnewline
0.46 & 9.01194519677081 & 0.0620462478478324 \tabularnewline
0.47 & 9.02358838495216 & 0.0575936339654729 \tabularnewline
0.48 & 9.03440588554654 & 0.0545361725075759 \tabularnewline
0.49 & 9.0446288549009 & 0.0523806303367054 \tabularnewline
0.5 & 9.05442263280685 & 0.0507156577429204 \tabularnewline
0.51 & 9.06390483041534 & 0.0493492821571551 \tabularnewline
0.52 & 9.07316817508376 & 0.0482382005933072 \tabularnewline
0.53 & 9.08230223919626 & 0.0474880694399209 \tabularnewline
0.54 & 9.0914092134205 & 0.0473012357792437 \tabularnewline
0.55 & 9.1006108919218 & 0.0478754111294964 \tabularnewline
0.56 & 9.11004646210757 & 0.0493045339769442 \tabularnewline
0.57 & 9.11986291522479 & 0.0516095819621531 \tabularnewline
0.58 & 9.13020139169967 & 0.0546492364862102 \tabularnewline
0.59 & 9.14118324822924 & 0.0582324300428327 \tabularnewline
0.6 & 9.1528990803669 & 0.0621009815765007 \tabularnewline
0.61 & 9.16540263479856 & 0.0660380204972966 \tabularnewline
0.62 & 9.17870996613024 & 0.0698426172945813 \tabularnewline
0.63 & 9.19280283779947 & 0.0733604398967644 \tabularnewline
0.64 & 9.20763462202418 & 0.0764929821492483 \tabularnewline
0.65 & 9.22313697610923 & 0.0791744688457369 \tabularnewline
0.66 & 9.23922625451621 & 0.0813460859844985 \tabularnewline
0.67 & 9.25580963736671 & 0.0829724816800127 \tabularnewline
0.68 & 9.27279189792328 & 0.0840480651448862 \tabularnewline
0.69 & 9.29008421647378 & 0.08458163271264 \tabularnewline
0.7 & 9.30761625873893 & 0.0846602415957552 \tabularnewline
0.71 & 9.32535188201472 & 0.0844575895126709 \tabularnewline
0.72 & 9.34330753837718 & 0.0842104621958594 \tabularnewline
0.73 & 9.36157107420322 & 0.0843045882044037 \tabularnewline
0.74 & 9.38031754316793 & 0.0851716562755814 \tabularnewline
0.75 & 9.3998180831959 & 0.0872805033618257 \tabularnewline
0.76 & 9.42043787999175 & 0.0910638427936668 \tabularnewline
0.77 & 9.44261964338124 & 0.0968089573345528 \tabularnewline
0.78 & 9.4668498413088 & 0.104603139062920 \tabularnewline
0.79 & 9.49360650455473 & 0.114255086291958 \tabularnewline
0.8 & 9.52329048875069 & 0.125232396550510 \tabularnewline
0.81 & 9.55614747188577 & 0.136682728728789 \tabularnewline
0.82 & 9.5921956830117 & 0.147455677172394 \tabularnewline
0.83 & 9.6311825507050 & 0.156236658912459 \tabularnewline
0.84 & 9.672597887833 & 0.1618225964424 \tabularnewline
0.85 & 9.7157661316223 & 0.163513618622905 \tabularnewline
0.86 & 9.76002105039644 & 0.161389577508518 \tabularnewline
0.87 & 9.80493428917811 & 0.156597610345446 \tabularnewline
0.88 & 9.85053480549024 & 0.151245647281983 \tabularnewline
0.89 & 9.89744076207166 & 0.147895202829203 \tabularnewline
0.9 & 9.94685522074405 & 0.148583734682040 \tabularnewline
0.91 & 10.0004700898553 & 0.153869063728255 \tabularnewline
0.92 & 10.0604633132932 & 0.162903558167393 \tabularnewline
0.93 & 10.1298699960842 & 0.175123116452280 \tabularnewline
0.94 & 10.2134459023671 & 0.192952907662217 \tabularnewline
0.95 & 10.3184405916934 & 0.223046575522216 \tabularnewline
0.96 & 10.4534681258540 & 0.269518136533503 \tabularnewline
0.97 & 10.6228623299958 & 0.316801662279167 \tabularnewline
0.98 & 10.8155672244099 & 0.32314342223853 \tabularnewline
0.99 & 10.9938983206429 & 0.262462835273412 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19041&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]6.65732038125773[/C][C]0.142647158309790[/C][/ROW]
[ROW][C]0.02[/C][C]6.7651387146597[/C][C]0.216471383606779[/C][/ROW]
[ROW][C]0.03[/C][C]6.90263888750329[/C][C]0.273491183045596[/C][/ROW]
[ROW][C]0.04[/C][C]7.05049606259748[/C][C]0.300051609257105[/C][/ROW]
[ROW][C]0.05[/C][C]7.19530366153734[/C][C]0.303623389757074[/C][/ROW]
[ROW][C]0.06[/C][C]7.32924582259644[/C][C]0.293157334630292[/C][/ROW]
[ROW][C]0.07[/C][C]7.44850387707741[/C][C]0.272869115914590[/C][/ROW]
[ROW][C]0.08[/C][C]7.55156218383031[/C][C]0.244616816505479[/C][/ROW]
[ROW][C]0.09[/C][C]7.6381781076266[/C][C]0.210970700078630[/C][/ROW]
[ROW][C]0.1[/C][C]7.70904077272435[/C][C]0.175740592380053[/C][/ROW]
[ROW][C]0.11[/C][C]7.76569911590219[/C][C]0.142936351833243[/C][/ROW]
[ROW][C]0.12[/C][C]7.8104302322493[/C][C]0.115798114091232[/C][/ROW]
[ROW][C]0.13[/C][C]7.84597953405884[/C][C]0.0965146458336113[/C][/ROW]
[ROW][C]0.14[/C][C]7.8752505658619[/C][C]0.0863666989583886[/C][/ROW]
[ROW][C]0.15[/C][C]7.9010283848709[/C][C]0.085628258632342[/C][/ROW]
[ROW][C]0.16[/C][C]7.92577262117643[/C][C]0.093192002951743[/C][/ROW]
[ROW][C]0.17[/C][C]7.95148062778164[/C][C]0.106952392803018[/C][/ROW]
[ROW][C]0.18[/C][C]7.97961177528707[/C][C]0.124541196194201[/C][/ROW]
[ROW][C]0.19[/C][C]8.01106761657068[/C][C]0.143779424351117[/C][/ROW]
[ROW][C]0.2[/C][C]8.04622514794758[/C][C]0.162805749371085[/C][/ROW]
[ROW][C]0.21[/C][C]8.08501693388586[/C][C]0.180156113480567[/C][/ROW]
[ROW][C]0.22[/C][C]8.12704499982638[/C][C]0.194884913692925[/C][/ROW]
[ROW][C]0.23[/C][C]8.17170967655264[/C][C]0.206546793913453[/C][/ROW]
[ROW][C]0.24[/C][C]8.21833299286781[/C][C]0.215168869475889[/C][/ROW]
[ROW][C]0.25[/C][C]8.26625929087084[/C][C]0.221147475869327[/C][/ROW]
[ROW][C]0.26[/C][C]8.31492217454079[/C][C]0.225014992516315[/C][/ROW]
[ROW][C]0.27[/C][C]8.36387460316864[/C][C]0.227371246203832[/C][/ROW]
[ROW][C]0.28[/C][C]8.41278590888216[/C][C]0.228652553425072[/C][/ROW]
[ROW][C]0.29[/C][C]8.46141440319768[/C][C]0.229132258977506[/C][/ROW]
[ROW][C]0.3[/C][C]8.5095665433926[/C][C]0.228829950565282[/C][/ROW]
[ROW][C]0.31[/C][C]8.55705360358248[/C][C]0.227555391296013[/C][/ROW]
[ROW][C]0.32[/C][C]8.60365511838019[/C][C]0.224984239609633[/C][/ROW]
[ROW][C]0.33[/C][C]8.64909578653503[/C][C]0.220710720318561[/C][/ROW]
[ROW][C]0.34[/C][C]8.69303959342183[/C][C]0.214360962235617[/C][/ROW]
[ROW][C]0.35[/C][C]8.73510193358822[/C][C]0.205687042646999[/C][/ROW]
[ROW][C]0.36[/C][C]8.77487763846432[/C][C]0.194605557535000[/C][/ROW]
[ROW][C]0.37[/C][C]8.81198021354679[/C][C]0.181279777542063[/C][/ROW]
[ROW][C]0.38[/C][C]8.84608556798982[/C][C]0.166124477132225[/C][/ROW]
[ROW][C]0.39[/C][C]8.8769724827695[/C][C]0.149773248258973[/C][/ROW]
[ROW][C]0.4[/C][C]8.90455236723851[/C][C]0.133000904689212[/C][/ROW]
[ROW][C]0.41[/C][C]8.92888261738723[/C][C]0.116640558853611[/C][/ROW]
[ROW][C]0.42[/C][C]8.95016087399337[/C][C]0.101463479216987[/C][/ROW]
[ROW][C]0.43[/C][C]8.96870109804419[/C][C]0.088136839582457[/C][/ROW]
[ROW][C]0.44[/C][C]8.98489584049166[/C][C]0.07706632515612[/C][/ROW]
[ROW][C]0.45[/C][C]8.99917160158709[/C][C]0.0684133198719418[/C][/ROW]
[ROW][C]0.46[/C][C]9.01194519677081[/C][C]0.0620462478478324[/C][/ROW]
[ROW][C]0.47[/C][C]9.02358838495216[/C][C]0.0575936339654729[/C][/ROW]
[ROW][C]0.48[/C][C]9.03440588554654[/C][C]0.0545361725075759[/C][/ROW]
[ROW][C]0.49[/C][C]9.0446288549009[/C][C]0.0523806303367054[/C][/ROW]
[ROW][C]0.5[/C][C]9.05442263280685[/C][C]0.0507156577429204[/C][/ROW]
[ROW][C]0.51[/C][C]9.06390483041534[/C][C]0.0493492821571551[/C][/ROW]
[ROW][C]0.52[/C][C]9.07316817508376[/C][C]0.0482382005933072[/C][/ROW]
[ROW][C]0.53[/C][C]9.08230223919626[/C][C]0.0474880694399209[/C][/ROW]
[ROW][C]0.54[/C][C]9.0914092134205[/C][C]0.0473012357792437[/C][/ROW]
[ROW][C]0.55[/C][C]9.1006108919218[/C][C]0.0478754111294964[/C][/ROW]
[ROW][C]0.56[/C][C]9.11004646210757[/C][C]0.0493045339769442[/C][/ROW]
[ROW][C]0.57[/C][C]9.11986291522479[/C][C]0.0516095819621531[/C][/ROW]
[ROW][C]0.58[/C][C]9.13020139169967[/C][C]0.0546492364862102[/C][/ROW]
[ROW][C]0.59[/C][C]9.14118324822924[/C][C]0.0582324300428327[/C][/ROW]
[ROW][C]0.6[/C][C]9.1528990803669[/C][C]0.0621009815765007[/C][/ROW]
[ROW][C]0.61[/C][C]9.16540263479856[/C][C]0.0660380204972966[/C][/ROW]
[ROW][C]0.62[/C][C]9.17870996613024[/C][C]0.0698426172945813[/C][/ROW]
[ROW][C]0.63[/C][C]9.19280283779947[/C][C]0.0733604398967644[/C][/ROW]
[ROW][C]0.64[/C][C]9.20763462202418[/C][C]0.0764929821492483[/C][/ROW]
[ROW][C]0.65[/C][C]9.22313697610923[/C][C]0.0791744688457369[/C][/ROW]
[ROW][C]0.66[/C][C]9.23922625451621[/C][C]0.0813460859844985[/C][/ROW]
[ROW][C]0.67[/C][C]9.25580963736671[/C][C]0.0829724816800127[/C][/ROW]
[ROW][C]0.68[/C][C]9.27279189792328[/C][C]0.0840480651448862[/C][/ROW]
[ROW][C]0.69[/C][C]9.29008421647378[/C][C]0.08458163271264[/C][/ROW]
[ROW][C]0.7[/C][C]9.30761625873893[/C][C]0.0846602415957552[/C][/ROW]
[ROW][C]0.71[/C][C]9.32535188201472[/C][C]0.0844575895126709[/C][/ROW]
[ROW][C]0.72[/C][C]9.34330753837718[/C][C]0.0842104621958594[/C][/ROW]
[ROW][C]0.73[/C][C]9.36157107420322[/C][C]0.0843045882044037[/C][/ROW]
[ROW][C]0.74[/C][C]9.38031754316793[/C][C]0.0851716562755814[/C][/ROW]
[ROW][C]0.75[/C][C]9.3998180831959[/C][C]0.0872805033618257[/C][/ROW]
[ROW][C]0.76[/C][C]9.42043787999175[/C][C]0.0910638427936668[/C][/ROW]
[ROW][C]0.77[/C][C]9.44261964338124[/C][C]0.0968089573345528[/C][/ROW]
[ROW][C]0.78[/C][C]9.4668498413088[/C][C]0.104603139062920[/C][/ROW]
[ROW][C]0.79[/C][C]9.49360650455473[/C][C]0.114255086291958[/C][/ROW]
[ROW][C]0.8[/C][C]9.52329048875069[/C][C]0.125232396550510[/C][/ROW]
[ROW][C]0.81[/C][C]9.55614747188577[/C][C]0.136682728728789[/C][/ROW]
[ROW][C]0.82[/C][C]9.5921956830117[/C][C]0.147455677172394[/C][/ROW]
[ROW][C]0.83[/C][C]9.6311825507050[/C][C]0.156236658912459[/C][/ROW]
[ROW][C]0.84[/C][C]9.672597887833[/C][C]0.1618225964424[/C][/ROW]
[ROW][C]0.85[/C][C]9.7157661316223[/C][C]0.163513618622905[/C][/ROW]
[ROW][C]0.86[/C][C]9.76002105039644[/C][C]0.161389577508518[/C][/ROW]
[ROW][C]0.87[/C][C]9.80493428917811[/C][C]0.156597610345446[/C][/ROW]
[ROW][C]0.88[/C][C]9.85053480549024[/C][C]0.151245647281983[/C][/ROW]
[ROW][C]0.89[/C][C]9.89744076207166[/C][C]0.147895202829203[/C][/ROW]
[ROW][C]0.9[/C][C]9.94685522074405[/C][C]0.148583734682040[/C][/ROW]
[ROW][C]0.91[/C][C]10.0004700898553[/C][C]0.153869063728255[/C][/ROW]
[ROW][C]0.92[/C][C]10.0604633132932[/C][C]0.162903558167393[/C][/ROW]
[ROW][C]0.93[/C][C]10.1298699960842[/C][C]0.175123116452280[/C][/ROW]
[ROW][C]0.94[/C][C]10.2134459023671[/C][C]0.192952907662217[/C][/ROW]
[ROW][C]0.95[/C][C]10.3184405916934[/C][C]0.223046575522216[/C][/ROW]
[ROW][C]0.96[/C][C]10.4534681258540[/C][C]0.269518136533503[/C][/ROW]
[ROW][C]0.97[/C][C]10.6228623299958[/C][C]0.316801662279167[/C][/ROW]
[ROW][C]0.98[/C][C]10.8155672244099[/C][C]0.32314342223853[/C][/ROW]
[ROW][C]0.99[/C][C]10.9938983206429[/C][C]0.262462835273412[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19041&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19041&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
0.016.657320381257730.142647158309790
0.026.76513871465970.216471383606779
0.036.902638887503290.273491183045596
0.047.050496062597480.300051609257105
0.057.195303661537340.303623389757074
0.067.329245822596440.293157334630292
0.077.448503877077410.272869115914590
0.087.551562183830310.244616816505479
0.097.63817810762660.210970700078630
0.17.709040772724350.175740592380053
0.117.765699115902190.142936351833243
0.127.81043023224930.115798114091232
0.137.845979534058840.0965146458336113
0.147.87525056586190.0863666989583886
0.157.90102838487090.085628258632342
0.167.925772621176430.093192002951743
0.177.951480627781640.106952392803018
0.187.979611775287070.124541196194201
0.198.011067616570680.143779424351117
0.28.046225147947580.162805749371085
0.218.085016933885860.180156113480567
0.228.127044999826380.194884913692925
0.238.171709676552640.206546793913453
0.248.218332992867810.215168869475889
0.258.266259290870840.221147475869327
0.268.314922174540790.225014992516315
0.278.363874603168640.227371246203832
0.288.412785908882160.228652553425072
0.298.461414403197680.229132258977506
0.38.50956654339260.228829950565282
0.318.557053603582480.227555391296013
0.328.603655118380190.224984239609633
0.338.649095786535030.220710720318561
0.348.693039593421830.214360962235617
0.358.735101933588220.205687042646999
0.368.774877638464320.194605557535000
0.378.811980213546790.181279777542063
0.388.846085567989820.166124477132225
0.398.87697248276950.149773248258973
0.48.904552367238510.133000904689212
0.418.928882617387230.116640558853611
0.428.950160873993370.101463479216987
0.438.968701098044190.088136839582457
0.448.984895840491660.07706632515612
0.458.999171601587090.0684133198719418
0.469.011945196770810.0620462478478324
0.479.023588384952160.0575936339654729
0.489.034405885546540.0545361725075759
0.499.04462885490090.0523806303367054
0.59.054422632806850.0507156577429204
0.519.063904830415340.0493492821571551
0.529.073168175083760.0482382005933072
0.539.082302239196260.0474880694399209
0.549.09140921342050.0473012357792437
0.559.10061089192180.0478754111294964
0.569.110046462107570.0493045339769442
0.579.119862915224790.0516095819621531
0.589.130201391699670.0546492364862102
0.599.141183248229240.0582324300428327
0.69.15289908036690.0621009815765007
0.619.165402634798560.0660380204972966
0.629.178709966130240.0698426172945813
0.639.192802837799470.0733604398967644
0.649.207634622024180.0764929821492483
0.659.223136976109230.0791744688457369
0.669.239226254516210.0813460859844985
0.679.255809637366710.0829724816800127
0.689.272791897923280.0840480651448862
0.699.290084216473780.08458163271264
0.79.307616258738930.0846602415957552
0.719.325351882014720.0844575895126709
0.729.343307538377180.0842104621958594
0.739.361571074203220.0843045882044037
0.749.380317543167930.0851716562755814
0.759.39981808319590.0872805033618257
0.769.420437879991750.0910638427936668
0.779.442619643381240.0968089573345528
0.789.46684984130880.104603139062920
0.799.493606504554730.114255086291958
0.89.523290488750690.125232396550510
0.819.556147471885770.136682728728789
0.829.59219568301170.147455677172394
0.839.63118255070500.156236658912459
0.849.6725978878330.1618225964424
0.859.71576613162230.163513618622905
0.869.760021050396440.161389577508518
0.879.804934289178110.156597610345446
0.889.850534805490240.151245647281983
0.899.897440762071660.147895202829203
0.99.946855220744050.148583734682040
0.9110.00047008985530.153869063728255
0.9210.06046331329320.162903558167393
0.9310.12986999608420.175123116452280
0.9410.21344590236710.192952907662217
0.9510.31844059169340.223046575522216
0.9610.45346812585400.269518136533503
0.9710.62286232999580.316801662279167
0.9810.81556722440990.32314342223853
0.9910.99389832064290.262462835273412


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 0 ;
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')