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_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 26 Oct 2008 11:29:58 -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/t12250422984wc1b3xyla96t5g.htm/, Retrieved Sun, 19 May 2024 16:36:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18987, Retrieved Sun, 19 May 2024 16:36:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155

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] [Harrel Davis voeding] [2008-10-26 17:29:58] [07b7cf1321bc38017c2c7efcf91ca696] [Current]
Feedback Forum
2008-11-03 16:46:40 [Lindsay Heyndrickx] [reply] 
Hier heeft de student voldoende moeite gedaan om een beter model te zoeken.
2008-11-03 23:15:38 [Bart Haemels] [reply] 
Aangezien het een moeilijk model was om een betrouwbaarheids interval te zoeken, maar ik ben er toch ingeslaagd, dit vind ik correct.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.077413479
1.139659803
1.138945233
1.185758514
1.137749737
1.086597938
1.083407276
1.103012634
1.12936345
1.124775583
1.30778032
1.194214876
1.113935145
1.115140526
1.176130895
1.244094488
1.191331924
1.103232534
1.154727794
1.131322957
1.179408767
1.122914838
1.33868974
1.265412748
1.136042403
1.162417375
1.173713235
1.237536657
1.195959596
1.092353525
1.122077922
1.149950348
1.145586897
1.120418848
1.334894614
1.249751244
1.119337979
1.172532189
1.178919398
1.221568627
1.16509434
1.113010446
1.140572391
1.176248822
1.16925892
1.135665529
1.358918919
1.232245681
1.172444444
1.195261438
1.240953222
1.295
1.196025294
1.116134752
1.155737705
1.15771526
1.186984418
1.123382226
1.39375
1.263319672

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18987&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18987&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18987&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
01.077413479NA
0.011.078961743722870.00558637430108376
0.021.081441624608910.00565162860362813
0.031.084391176207150.00640572153921039
0.041.087540741152570.00753523956195242
0.051.090782151428950.0085746553699063
0.061.094052718334880.00924591012636288
0.071.097277587390280.00947002572593937
0.081.100371167282340.00929955200017474
0.091.103258101579750.0088444911505462
0.11.105888493177270.00821778808180746
0.111.108241664224140.00751652853446511
0.121.11032203578670.00681763354757674
0.131.112151932919750.00617900133333622
0.141.113764374641990.00563844305455112
0.151.115197142351840.00521892149324142
0.161.116488437033790.004923272775715
0.171.117674046210480.00474623512242789
0.181.118785796645190.0046707657713498
0.191.119850980505840.00468422927403334
0.21.120892387264090.0047762558024988
0.211.1219285870650.00493446880510986
0.221.122974207470490.00514919066989568
0.231.124040093610990.0053998191793637
0.241.125133386680240.00566888715655216
0.251.126257648546870.00593902390926469
0.261.127413178511420.00618871232623021
0.271.128597618890830.00640475027436455
0.281.129806856649230.0065826981312016
0.291.131036133241820.0067216386957967
0.31.132281203972670.00683383986356969
0.311.133539359399340.00693406853678404
0.321.134810138654770.0070401614056074
0.331.136095620000050.00717386631917632
0.341.137400251649410.00734675743224573
0.351.138730267215400.00757309361877429
0.361.140092797901410.00785119278974942
0.371.141494835622790.00817490778120049
0.381.142942212050590.00852799186982231
0.391.144438739524090.0088943723512394
0.41.145985618012940.0092520904750691
0.411.147581158618040.00958045563234846
0.421.149220820314160.00986571509562115
0.431.150897513060750.0100909363465002
0.441.152602093797410.0102498041518725
0.451.154323974322390.0103353429241201
0.461.156051769171170.0103465603794602
0.471.157773931436890.0102843540696213
0.481.159479347447010.0101533198815810
0.491.161157880235320.00996150739648901
0.51.162800861989420.00971557050881585
0.511.164401535592550.00942870465435822
0.521.165955436934380.0091163836972971
0.531.167460697396350.00879159800564484
0.541.168918235618760.00847301911055177
0.551.170331804726780.00818263086826599
0.561.171707869206930.00793450522162092
0.571.173055305391700.0077461049515659
0.581.174384948748910.00763001159836979
0.591.175709044778850.00759439579599469
0.61.177040691100790.0076376762454567
0.611.178393378029700.0077592141458851
0.621.179780735663920.00795297419053676
0.631.181216571123570.0082125405985608
0.641.182715227608800.00853622008127058
0.651.184292220345940.00892773392908302
0.661.185965013193200.0094000391552422
0.671.187753711157430.00997080997371698
0.681.189681382103140.0106624768833862
0.691.191773711838260.0114948310346889
0.71.194057762960850.0124792673132820
0.711.196559759532410.0136052178205152
0.721.199302046554130.0148424774622212
0.731.202299639702540.0161326038897987
0.741.205557027300000.0173992330871661
0.751.209066039907030.0185545027660866
0.761.212805595005560.0195119615325153
0.771.216743914526690.0202046162885066
0.781.220843408557050.0205986979895094
0.791.225067882278180.0207035830477868
0.81.229391163845900.0205841562240605
0.811.233805795151280.0203497877538846
0.821.238330181393870.0201502671792101
0.831.243012611420030.0201502637290974
0.841.247930825654190.0204992927171925
0.851.253186264471570.0212955465592026
0.861.258892725633550.0225550897683090
0.871.265159912021560.0242003887378407
0.881.272073386752060.0260568884743769
0.891.279673983692090.0278714595555355
0.91.287941908228070.0293392296808116
0.911.296793429481760.0301517715803139
0.921.306100249455330.0300701852473023
0.931.315740922654470.0290238691336802
0.941.325685058409240.0272252742712911
0.951.336085148219040.0252558997847588
0.961.347295980370550.0240317481151913
0.971.359665195775850.0245049150868099
0.981.372932685261240.0270746936610201
0.991.385386397931320.0309901688723980

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0 & 1.077413479 & NA \tabularnewline
0.01 & 1.07896174372287 & 0.00558637430108376 \tabularnewline
0.02 & 1.08144162460891 & 0.00565162860362813 \tabularnewline
0.03 & 1.08439117620715 & 0.00640572153921039 \tabularnewline
0.04 & 1.08754074115257 & 0.00753523956195242 \tabularnewline
0.05 & 1.09078215142895 & 0.0085746553699063 \tabularnewline
0.06 & 1.09405271833488 & 0.00924591012636288 \tabularnewline
0.07 & 1.09727758739028 & 0.00947002572593937 \tabularnewline
0.08 & 1.10037116728234 & 0.00929955200017474 \tabularnewline
0.09 & 1.10325810157975 & 0.0088444911505462 \tabularnewline
0.1 & 1.10588849317727 & 0.00821778808180746 \tabularnewline
0.11 & 1.10824166422414 & 0.00751652853446511 \tabularnewline
0.12 & 1.1103220357867 & 0.00681763354757674 \tabularnewline
0.13 & 1.11215193291975 & 0.00617900133333622 \tabularnewline
0.14 & 1.11376437464199 & 0.00563844305455112 \tabularnewline
0.15 & 1.11519714235184 & 0.00521892149324142 \tabularnewline
0.16 & 1.11648843703379 & 0.004923272775715 \tabularnewline
0.17 & 1.11767404621048 & 0.00474623512242789 \tabularnewline
0.18 & 1.11878579664519 & 0.0046707657713498 \tabularnewline
0.19 & 1.11985098050584 & 0.00468422927403334 \tabularnewline
0.2 & 1.12089238726409 & 0.0047762558024988 \tabularnewline
0.21 & 1.121928587065 & 0.00493446880510986 \tabularnewline
0.22 & 1.12297420747049 & 0.00514919066989568 \tabularnewline
0.23 & 1.12404009361099 & 0.0053998191793637 \tabularnewline
0.24 & 1.12513338668024 & 0.00566888715655216 \tabularnewline
0.25 & 1.12625764854687 & 0.00593902390926469 \tabularnewline
0.26 & 1.12741317851142 & 0.00618871232623021 \tabularnewline
0.27 & 1.12859761889083 & 0.00640475027436455 \tabularnewline
0.28 & 1.12980685664923 & 0.0065826981312016 \tabularnewline
0.29 & 1.13103613324182 & 0.0067216386957967 \tabularnewline
0.3 & 1.13228120397267 & 0.00683383986356969 \tabularnewline
0.31 & 1.13353935939934 & 0.00693406853678404 \tabularnewline
0.32 & 1.13481013865477 & 0.0070401614056074 \tabularnewline
0.33 & 1.13609562000005 & 0.00717386631917632 \tabularnewline
0.34 & 1.13740025164941 & 0.00734675743224573 \tabularnewline
0.35 & 1.13873026721540 & 0.00757309361877429 \tabularnewline
0.36 & 1.14009279790141 & 0.00785119278974942 \tabularnewline
0.37 & 1.14149483562279 & 0.00817490778120049 \tabularnewline
0.38 & 1.14294221205059 & 0.00852799186982231 \tabularnewline
0.39 & 1.14443873952409 & 0.0088943723512394 \tabularnewline
0.4 & 1.14598561801294 & 0.0092520904750691 \tabularnewline
0.41 & 1.14758115861804 & 0.00958045563234846 \tabularnewline
0.42 & 1.14922082031416 & 0.00986571509562115 \tabularnewline
0.43 & 1.15089751306075 & 0.0100909363465002 \tabularnewline
0.44 & 1.15260209379741 & 0.0102498041518725 \tabularnewline
0.45 & 1.15432397432239 & 0.0103353429241201 \tabularnewline
0.46 & 1.15605176917117 & 0.0103465603794602 \tabularnewline
0.47 & 1.15777393143689 & 0.0102843540696213 \tabularnewline
0.48 & 1.15947934744701 & 0.0101533198815810 \tabularnewline
0.49 & 1.16115788023532 & 0.00996150739648901 \tabularnewline
0.5 & 1.16280086198942 & 0.00971557050881585 \tabularnewline
0.51 & 1.16440153559255 & 0.00942870465435822 \tabularnewline
0.52 & 1.16595543693438 & 0.0091163836972971 \tabularnewline
0.53 & 1.16746069739635 & 0.00879159800564484 \tabularnewline
0.54 & 1.16891823561876 & 0.00847301911055177 \tabularnewline
0.55 & 1.17033180472678 & 0.00818263086826599 \tabularnewline
0.56 & 1.17170786920693 & 0.00793450522162092 \tabularnewline
0.57 & 1.17305530539170 & 0.0077461049515659 \tabularnewline
0.58 & 1.17438494874891 & 0.00763001159836979 \tabularnewline
0.59 & 1.17570904477885 & 0.00759439579599469 \tabularnewline
0.6 & 1.17704069110079 & 0.0076376762454567 \tabularnewline
0.61 & 1.17839337802970 & 0.0077592141458851 \tabularnewline
0.62 & 1.17978073566392 & 0.00795297419053676 \tabularnewline
0.63 & 1.18121657112357 & 0.0082125405985608 \tabularnewline
0.64 & 1.18271522760880 & 0.00853622008127058 \tabularnewline
0.65 & 1.18429222034594 & 0.00892773392908302 \tabularnewline
0.66 & 1.18596501319320 & 0.0094000391552422 \tabularnewline
0.67 & 1.18775371115743 & 0.00997080997371698 \tabularnewline
0.68 & 1.18968138210314 & 0.0106624768833862 \tabularnewline
0.69 & 1.19177371183826 & 0.0114948310346889 \tabularnewline
0.7 & 1.19405776296085 & 0.0124792673132820 \tabularnewline
0.71 & 1.19655975953241 & 0.0136052178205152 \tabularnewline
0.72 & 1.19930204655413 & 0.0148424774622212 \tabularnewline
0.73 & 1.20229963970254 & 0.0161326038897987 \tabularnewline
0.74 & 1.20555702730000 & 0.0173992330871661 \tabularnewline
0.75 & 1.20906603990703 & 0.0185545027660866 \tabularnewline
0.76 & 1.21280559500556 & 0.0195119615325153 \tabularnewline
0.77 & 1.21674391452669 & 0.0202046162885066 \tabularnewline
0.78 & 1.22084340855705 & 0.0205986979895094 \tabularnewline
0.79 & 1.22506788227818 & 0.0207035830477868 \tabularnewline
0.8 & 1.22939116384590 & 0.0205841562240605 \tabularnewline
0.81 & 1.23380579515128 & 0.0203497877538846 \tabularnewline
0.82 & 1.23833018139387 & 0.0201502671792101 \tabularnewline
0.83 & 1.24301261142003 & 0.0201502637290974 \tabularnewline
0.84 & 1.24793082565419 & 0.0204992927171925 \tabularnewline
0.85 & 1.25318626447157 & 0.0212955465592026 \tabularnewline
0.86 & 1.25889272563355 & 0.0225550897683090 \tabularnewline
0.87 & 1.26515991202156 & 0.0242003887378407 \tabularnewline
0.88 & 1.27207338675206 & 0.0260568884743769 \tabularnewline
0.89 & 1.27967398369209 & 0.0278714595555355 \tabularnewline
0.9 & 1.28794190822807 & 0.0293392296808116 \tabularnewline
0.91 & 1.29679342948176 & 0.0301517715803139 \tabularnewline
0.92 & 1.30610024945533 & 0.0300701852473023 \tabularnewline
0.93 & 1.31574092265447 & 0.0290238691336802 \tabularnewline
0.94 & 1.32568505840924 & 0.0272252742712911 \tabularnewline
0.95 & 1.33608514821904 & 0.0252558997847588 \tabularnewline
0.96 & 1.34729598037055 & 0.0240317481151913 \tabularnewline
0.97 & 1.35966519577585 & 0.0245049150868099 \tabularnewline
0.98 & 1.37293268526124 & 0.0270746936610201 \tabularnewline
0.99 & 1.38538639793132 & 0.0309901688723980 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18987&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[/C][C]1.077413479[/C][C]NA[/C][/ROW]
[ROW][C]0.01[/C][C]1.07896174372287[/C][C]0.00558637430108376[/C][/ROW]
[ROW][C]0.02[/C][C]1.08144162460891[/C][C]0.00565162860362813[/C][/ROW]
[ROW][C]0.03[/C][C]1.08439117620715[/C][C]0.00640572153921039[/C][/ROW]
[ROW][C]0.04[/C][C]1.08754074115257[/C][C]0.00753523956195242[/C][/ROW]
[ROW][C]0.05[/C][C]1.09078215142895[/C][C]0.0085746553699063[/C][/ROW]
[ROW][C]0.06[/C][C]1.09405271833488[/C][C]0.00924591012636288[/C][/ROW]
[ROW][C]0.07[/C][C]1.09727758739028[/C][C]0.00947002572593937[/C][/ROW]
[ROW][C]0.08[/C][C]1.10037116728234[/C][C]0.00929955200017474[/C][/ROW]
[ROW][C]0.09[/C][C]1.10325810157975[/C][C]0.0088444911505462[/C][/ROW]
[ROW][C]0.1[/C][C]1.10588849317727[/C][C]0.00821778808180746[/C][/ROW]
[ROW][C]0.11[/C][C]1.10824166422414[/C][C]0.00751652853446511[/C][/ROW]
[ROW][C]0.12[/C][C]1.1103220357867[/C][C]0.00681763354757674[/C][/ROW]
[ROW][C]0.13[/C][C]1.11215193291975[/C][C]0.00617900133333622[/C][/ROW]
[ROW][C]0.14[/C][C]1.11376437464199[/C][C]0.00563844305455112[/C][/ROW]
[ROW][C]0.15[/C][C]1.11519714235184[/C][C]0.00521892149324142[/C][/ROW]
[ROW][C]0.16[/C][C]1.11648843703379[/C][C]0.004923272775715[/C][/ROW]
[ROW][C]0.17[/C][C]1.11767404621048[/C][C]0.00474623512242789[/C][/ROW]
[ROW][C]0.18[/C][C]1.11878579664519[/C][C]0.0046707657713498[/C][/ROW]
[ROW][C]0.19[/C][C]1.11985098050584[/C][C]0.00468422927403334[/C][/ROW]
[ROW][C]0.2[/C][C]1.12089238726409[/C][C]0.0047762558024988[/C][/ROW]
[ROW][C]0.21[/C][C]1.121928587065[/C][C]0.00493446880510986[/C][/ROW]
[ROW][C]0.22[/C][C]1.12297420747049[/C][C]0.00514919066989568[/C][/ROW]
[ROW][C]0.23[/C][C]1.12404009361099[/C][C]0.0053998191793637[/C][/ROW]
[ROW][C]0.24[/C][C]1.12513338668024[/C][C]0.00566888715655216[/C][/ROW]
[ROW][C]0.25[/C][C]1.12625764854687[/C][C]0.00593902390926469[/C][/ROW]
[ROW][C]0.26[/C][C]1.12741317851142[/C][C]0.00618871232623021[/C][/ROW]
[ROW][C]0.27[/C][C]1.12859761889083[/C][C]0.00640475027436455[/C][/ROW]
[ROW][C]0.28[/C][C]1.12980685664923[/C][C]0.0065826981312016[/C][/ROW]
[ROW][C]0.29[/C][C]1.13103613324182[/C][C]0.0067216386957967[/C][/ROW]
[ROW][C]0.3[/C][C]1.13228120397267[/C][C]0.00683383986356969[/C][/ROW]
[ROW][C]0.31[/C][C]1.13353935939934[/C][C]0.00693406853678404[/C][/ROW]
[ROW][C]0.32[/C][C]1.13481013865477[/C][C]0.0070401614056074[/C][/ROW]
[ROW][C]0.33[/C][C]1.13609562000005[/C][C]0.00717386631917632[/C][/ROW]
[ROW][C]0.34[/C][C]1.13740025164941[/C][C]0.00734675743224573[/C][/ROW]
[ROW][C]0.35[/C][C]1.13873026721540[/C][C]0.00757309361877429[/C][/ROW]
[ROW][C]0.36[/C][C]1.14009279790141[/C][C]0.00785119278974942[/C][/ROW]
[ROW][C]0.37[/C][C]1.14149483562279[/C][C]0.00817490778120049[/C][/ROW]
[ROW][C]0.38[/C][C]1.14294221205059[/C][C]0.00852799186982231[/C][/ROW]
[ROW][C]0.39[/C][C]1.14443873952409[/C][C]0.0088943723512394[/C][/ROW]
[ROW][C]0.4[/C][C]1.14598561801294[/C][C]0.0092520904750691[/C][/ROW]
[ROW][C]0.41[/C][C]1.14758115861804[/C][C]0.00958045563234846[/C][/ROW]
[ROW][C]0.42[/C][C]1.14922082031416[/C][C]0.00986571509562115[/C][/ROW]
[ROW][C]0.43[/C][C]1.15089751306075[/C][C]0.0100909363465002[/C][/ROW]
[ROW][C]0.44[/C][C]1.15260209379741[/C][C]0.0102498041518725[/C][/ROW]
[ROW][C]0.45[/C][C]1.15432397432239[/C][C]0.0103353429241201[/C][/ROW]
[ROW][C]0.46[/C][C]1.15605176917117[/C][C]0.0103465603794602[/C][/ROW]
[ROW][C]0.47[/C][C]1.15777393143689[/C][C]0.0102843540696213[/C][/ROW]
[ROW][C]0.48[/C][C]1.15947934744701[/C][C]0.0101533198815810[/C][/ROW]
[ROW][C]0.49[/C][C]1.16115788023532[/C][C]0.00996150739648901[/C][/ROW]
[ROW][C]0.5[/C][C]1.16280086198942[/C][C]0.00971557050881585[/C][/ROW]
[ROW][C]0.51[/C][C]1.16440153559255[/C][C]0.00942870465435822[/C][/ROW]
[ROW][C]0.52[/C][C]1.16595543693438[/C][C]0.0091163836972971[/C][/ROW]
[ROW][C]0.53[/C][C]1.16746069739635[/C][C]0.00879159800564484[/C][/ROW]
[ROW][C]0.54[/C][C]1.16891823561876[/C][C]0.00847301911055177[/C][/ROW]
[ROW][C]0.55[/C][C]1.17033180472678[/C][C]0.00818263086826599[/C][/ROW]
[ROW][C]0.56[/C][C]1.17170786920693[/C][C]0.00793450522162092[/C][/ROW]
[ROW][C]0.57[/C][C]1.17305530539170[/C][C]0.0077461049515659[/C][/ROW]
[ROW][C]0.58[/C][C]1.17438494874891[/C][C]0.00763001159836979[/C][/ROW]
[ROW][C]0.59[/C][C]1.17570904477885[/C][C]0.00759439579599469[/C][/ROW]
[ROW][C]0.6[/C][C]1.17704069110079[/C][C]0.0076376762454567[/C][/ROW]
[ROW][C]0.61[/C][C]1.17839337802970[/C][C]0.0077592141458851[/C][/ROW]
[ROW][C]0.62[/C][C]1.17978073566392[/C][C]0.00795297419053676[/C][/ROW]
[ROW][C]0.63[/C][C]1.18121657112357[/C][C]0.0082125405985608[/C][/ROW]
[ROW][C]0.64[/C][C]1.18271522760880[/C][C]0.00853622008127058[/C][/ROW]
[ROW][C]0.65[/C][C]1.18429222034594[/C][C]0.00892773392908302[/C][/ROW]
[ROW][C]0.66[/C][C]1.18596501319320[/C][C]0.0094000391552422[/C][/ROW]
[ROW][C]0.67[/C][C]1.18775371115743[/C][C]0.00997080997371698[/C][/ROW]
[ROW][C]0.68[/C][C]1.18968138210314[/C][C]0.0106624768833862[/C][/ROW]
[ROW][C]0.69[/C][C]1.19177371183826[/C][C]0.0114948310346889[/C][/ROW]
[ROW][C]0.7[/C][C]1.19405776296085[/C][C]0.0124792673132820[/C][/ROW]
[ROW][C]0.71[/C][C]1.19655975953241[/C][C]0.0136052178205152[/C][/ROW]
[ROW][C]0.72[/C][C]1.19930204655413[/C][C]0.0148424774622212[/C][/ROW]
[ROW][C]0.73[/C][C]1.20229963970254[/C][C]0.0161326038897987[/C][/ROW]
[ROW][C]0.74[/C][C]1.20555702730000[/C][C]0.0173992330871661[/C][/ROW]
[ROW][C]0.75[/C][C]1.20906603990703[/C][C]0.0185545027660866[/C][/ROW]
[ROW][C]0.76[/C][C]1.21280559500556[/C][C]0.0195119615325153[/C][/ROW]
[ROW][C]0.77[/C][C]1.21674391452669[/C][C]0.0202046162885066[/C][/ROW]
[ROW][C]0.78[/C][C]1.22084340855705[/C][C]0.0205986979895094[/C][/ROW]
[ROW][C]0.79[/C][C]1.22506788227818[/C][C]0.0207035830477868[/C][/ROW]
[ROW][C]0.8[/C][C]1.22939116384590[/C][C]0.0205841562240605[/C][/ROW]
[ROW][C]0.81[/C][C]1.23380579515128[/C][C]0.0203497877538846[/C][/ROW]
[ROW][C]0.82[/C][C]1.23833018139387[/C][C]0.0201502671792101[/C][/ROW]
[ROW][C]0.83[/C][C]1.24301261142003[/C][C]0.0201502637290974[/C][/ROW]
[ROW][C]0.84[/C][C]1.24793082565419[/C][C]0.0204992927171925[/C][/ROW]
[ROW][C]0.85[/C][C]1.25318626447157[/C][C]0.0212955465592026[/C][/ROW]
[ROW][C]0.86[/C][C]1.25889272563355[/C][C]0.0225550897683090[/C][/ROW]
[ROW][C]0.87[/C][C]1.26515991202156[/C][C]0.0242003887378407[/C][/ROW]
[ROW][C]0.88[/C][C]1.27207338675206[/C][C]0.0260568884743769[/C][/ROW]
[ROW][C]0.89[/C][C]1.27967398369209[/C][C]0.0278714595555355[/C][/ROW]
[ROW][C]0.9[/C][C]1.28794190822807[/C][C]0.0293392296808116[/C][/ROW]
[ROW][C]0.91[/C][C]1.29679342948176[/C][C]0.0301517715803139[/C][/ROW]
[ROW][C]0.92[/C][C]1.30610024945533[/C][C]0.0300701852473023[/C][/ROW]
[ROW][C]0.93[/C][C]1.31574092265447[/C][C]0.0290238691336802[/C][/ROW]
[ROW][C]0.94[/C][C]1.32568505840924[/C][C]0.0272252742712911[/C][/ROW]
[ROW][C]0.95[/C][C]1.33608514821904[/C][C]0.0252558997847588[/C][/ROW]
[ROW][C]0.96[/C][C]1.34729598037055[/C][C]0.0240317481151913[/C][/ROW]
[ROW][C]0.97[/C][C]1.35966519577585[/C][C]0.0245049150868099[/C][/ROW]
[ROW][C]0.98[/C][C]1.37293268526124[/C][C]0.0270746936610201[/C][/ROW]
[ROW][C]0.99[/C][C]1.38538639793132[/C][C]0.0309901688723980[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18987&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18987&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
01.077413479NA
0.011.078961743722870.00558637430108376
0.021.081441624608910.00565162860362813
0.031.084391176207150.00640572153921039
0.041.087540741152570.00753523956195242
0.051.090782151428950.0085746553699063
0.061.094052718334880.00924591012636288
0.071.097277587390280.00947002572593937
0.081.100371167282340.00929955200017474
0.091.103258101579750.0088444911505462
0.11.105888493177270.00821778808180746
0.111.108241664224140.00751652853446511
0.121.11032203578670.00681763354757674
0.131.112151932919750.00617900133333622
0.141.113764374641990.00563844305455112
0.151.115197142351840.00521892149324142
0.161.116488437033790.004923272775715
0.171.117674046210480.00474623512242789
0.181.118785796645190.0046707657713498
0.191.119850980505840.00468422927403334
0.21.120892387264090.0047762558024988
0.211.1219285870650.00493446880510986
0.221.122974207470490.00514919066989568
0.231.124040093610990.0053998191793637
0.241.125133386680240.00566888715655216
0.251.126257648546870.00593902390926469
0.261.127413178511420.00618871232623021
0.271.128597618890830.00640475027436455
0.281.129806856649230.0065826981312016
0.291.131036133241820.0067216386957967
0.31.132281203972670.00683383986356969
0.311.133539359399340.00693406853678404
0.321.134810138654770.0070401614056074
0.331.136095620000050.00717386631917632
0.341.137400251649410.00734675743224573
0.351.138730267215400.00757309361877429
0.361.140092797901410.00785119278974942
0.371.141494835622790.00817490778120049
0.381.142942212050590.00852799186982231
0.391.144438739524090.0088943723512394
0.41.145985618012940.0092520904750691
0.411.147581158618040.00958045563234846
0.421.149220820314160.00986571509562115
0.431.150897513060750.0100909363465002
0.441.152602093797410.0102498041518725
0.451.154323974322390.0103353429241201
0.461.156051769171170.0103465603794602
0.471.157773931436890.0102843540696213
0.481.159479347447010.0101533198815810
0.491.161157880235320.00996150739648901
0.51.162800861989420.00971557050881585
0.511.164401535592550.00942870465435822
0.521.165955436934380.0091163836972971
0.531.167460697396350.00879159800564484
0.541.168918235618760.00847301911055177
0.551.170331804726780.00818263086826599
0.561.171707869206930.00793450522162092
0.571.173055305391700.0077461049515659
0.581.174384948748910.00763001159836979
0.591.175709044778850.00759439579599469
0.61.177040691100790.0076376762454567
0.611.178393378029700.0077592141458851
0.621.179780735663920.00795297419053676
0.631.181216571123570.0082125405985608
0.641.182715227608800.00853622008127058
0.651.184292220345940.00892773392908302
0.661.185965013193200.0094000391552422
0.671.187753711157430.00997080997371698
0.681.189681382103140.0106624768833862
0.691.191773711838260.0114948310346889
0.71.194057762960850.0124792673132820
0.711.196559759532410.0136052178205152
0.721.199302046554130.0148424774622212
0.731.202299639702540.0161326038897987
0.741.205557027300000.0173992330871661
0.751.209066039907030.0185545027660866
0.761.212805595005560.0195119615325153
0.771.216743914526690.0202046162885066
0.781.220843408557050.0205986979895094
0.791.225067882278180.0207035830477868
0.81.229391163845900.0205841562240605
0.811.233805795151280.0203497877538846
0.821.238330181393870.0201502671792101
0.831.243012611420030.0201502637290974
0.841.247930825654190.0204992927171925
0.851.253186264471570.0212955465592026
0.861.258892725633550.0225550897683090
0.871.265159912021560.0242003887378407
0.881.272073386752060.0260568884743769
0.891.279673983692090.0278714595555355
0.91.287941908228070.0293392296808116
0.911.296793429481760.0301517715803139
0.921.306100249455330.0300701852473023
0.931.315740922654470.0290238691336802
0.941.325685058409240.0272252742712911
0.951.336085148219040.0252558997847588
0.961.347295980370550.0240317481151913
0.971.359665195775850.0245049150868099
0.981.372932685261240.0270746936610201
0.991.385386397931320.0309901688723980


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.00 ; 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')