FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 10 Oct 2015 11:18:40 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/10/t1444472342b3qcec9nv4tv74l.htm/, Retrieved Tue, 14 May 2024 22:57:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282116, Retrieved Tue, 14 May 2024 22:57:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2015-10-10 10:18:40] [4b96c7bb02a36edde4d8c72e28fc1c90] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
103.4
103.49
103.51
103.27
103.35
103.34
103.07
103.08
103.1
103.13
103.13
103.18
103.2
103.21
103
102.46
102.52
102.55
102.78
102.81
102.81
102.68
102.72
102.73
102.87
102.93
103.2
102.62
102.18
101.19
100.91
100.72
100.86
100.89
100.47
100.45
100.64
100.63
100.66
100.38
99.68
99.71
99.63
99.63
99.71
99.77
99.76
99.79
98.13
98.13
97.87
97.72
97.72
97.6
97.31
97.31
97.44
96.94
96.94
96.94

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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282116&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282116&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282116&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0196.94707521496940.0254739078524231
0.0296.96726506992880.0738151167855624
0.0397.00479454436910.131306534302915
0.0497.05957793532720.181148736086096
0.0597.12777091466570.214090840857157
0.0697.20396495935990.231025569982358
0.0797.28344328471160.239371501278348
0.0897.36347355915690.247596112346816
0.0997.44350952304580.262168228951259
0.197.52471494812780.286760510583371
0.1197.60927992934030.323534569801918
0.1297.69979760020040.373063208543853
0.1397.79876296349880.434144639748448
0.1497.90816169119810.503465292990655
0.1598.02912407882440.575730965146639
0.1698.161664662220.644626179294762
0.1798.30455816058880.703060845395149
0.1898.45539670100840.745067562788885
0.1998.61083812638730.766603612236548
0.298.7670094893470.765973659252278
0.2198.91999244754360.744283771787126
0.2299.06630013998860.704915847893678
0.2399.20326136023680.653362110473415
0.2499.32925309856650.595837185359787
0.2599.44375797274190.53850602351084
0.2699.54725880312980.486993875565415
0.2799.64101049196980.445284813075463
0.2899.72674479882740.415367151511895
0.2999.8063657705350.397182916907891
0.399.88168479929760.388690840075577
0.3199.95422863208060.386971532583279
0.32100.0251355900670.389048911183929
0.33100.0951385284570.391966730978927
0.34100.1646201546960.393903378176104
0.35100.2337183429920.394349330994929
0.36100.302456011110.393066075075924
0.37100.370871172560.391268379829967
0.38100.4391267732570.390284927835612
0.39100.5075856324280.392321932059739
0.4100.5768421527750.399256340591239
0.41100.6477086336480.412694444729668
0.42100.7211594962570.433668335725497
0.43100.7982412414620.462462133690622
0.44100.8799593935710.498013242090462
0.45100.9671559772380.538587916116606
0.46101.0603921478020.581767305162559
0.47101.1598503256980.624493028391877
0.48101.2652684511720.663692820162078
0.49101.3759157457010.696327312906445
0.5101.4906148028220.719513489907485
0.51101.6078093564070.73129283229837
0.52101.7256713686750.730324694372995
0.53101.8422359900640.716230996785746
0.54101.9555493173590.689584589881751
0.55102.0638123711480.651870982230184
0.56102.1655056226280.60528853360203
0.57102.259481564150.552533236599631
0.58102.3450176459860.496368403938578
0.59102.4218274974270.439743452440062
0.6102.4900337159610.38502743131326
0.61102.5501097671570.334351499263101
0.62102.6028011155690.289211871049645
0.63102.649036426740.250537497791653
0.64102.689838754390.218654083000798
0.65102.7262445540390.193595567244845
0.66102.7592357725740.174809606673895
0.67102.789687741380.161275097702333
0.68102.8183335668720.152118811644149
0.69102.8457443472950.146089538300059
0.7102.872323798880.14206558178801
0.71102.8983155382410.13899328121454
0.72102.9238210764110.136051707050868
0.73102.9488263218910.132507674963449
0.74102.9732339861070.128168204457232
0.75102.9968988161390.122700992329811
0.76103.0196622566390.116233119609057
0.77103.0413832213760.108893089150924
0.78103.0619623210810.10102446691043
0.79103.081358153060.0931648702866067
0.8103.0995958618940.085445474327259
0.81103.1167696421690.0784174587529554
0.82103.1330415699060.0722872049598561
0.83103.1486386370160.0672299498412315
0.84103.163848071130.0635049971498052
0.85103.1790085994390.0612819046217997
0.86103.194493662190.0607501245133845
0.87103.2106834893830.0617792725393912
0.88103.2279276816320.0641764112025331
0.89103.2465078415290.0672276915455284
0.9103.2666170616440.0702586223466642
0.91103.28837257430.0725480113118681
0.92103.3118617594780.0737686014082796
0.93103.3371877914540.0742024153734422
0.94103.3644420730450.0744650429291257
0.95103.3935193427070.0746654081043774
0.96103.4237514248180.0732290777425555
0.97103.453485376440.0668524025898491
0.98103.4799200524630.0527787660267023
0.99103.4996194865610.0335142353643979

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 96.9470752149694 & 0.0254739078524231 \tabularnewline
0.02 & 96.9672650699288 & 0.0738151167855624 \tabularnewline
0.03 & 97.0047945443691 & 0.131306534302915 \tabularnewline
0.04 & 97.0595779353272 & 0.181148736086096 \tabularnewline
0.05 & 97.1277709146657 & 0.214090840857157 \tabularnewline
0.06 & 97.2039649593599 & 0.231025569982358 \tabularnewline
0.07 & 97.2834432847116 & 0.239371501278348 \tabularnewline
0.08 & 97.3634735591569 & 0.247596112346816 \tabularnewline
0.09 & 97.4435095230458 & 0.262168228951259 \tabularnewline
0.1 & 97.5247149481278 & 0.286760510583371 \tabularnewline
0.11 & 97.6092799293403 & 0.323534569801918 \tabularnewline
0.12 & 97.6997976002004 & 0.373063208543853 \tabularnewline
0.13 & 97.7987629634988 & 0.434144639748448 \tabularnewline
0.14 & 97.9081616911981 & 0.503465292990655 \tabularnewline
0.15 & 98.0291240788244 & 0.575730965146639 \tabularnewline
0.16 & 98.16166466222 & 0.644626179294762 \tabularnewline
0.17 & 98.3045581605888 & 0.703060845395149 \tabularnewline
0.18 & 98.4553967010084 & 0.745067562788885 \tabularnewline
0.19 & 98.6108381263873 & 0.766603612236548 \tabularnewline
0.2 & 98.767009489347 & 0.765973659252278 \tabularnewline
0.21 & 98.9199924475436 & 0.744283771787126 \tabularnewline
0.22 & 99.0663001399886 & 0.704915847893678 \tabularnewline
0.23 & 99.2032613602368 & 0.653362110473415 \tabularnewline
0.24 & 99.3292530985665 & 0.595837185359787 \tabularnewline
0.25 & 99.4437579727419 & 0.53850602351084 \tabularnewline
0.26 & 99.5472588031298 & 0.486993875565415 \tabularnewline
0.27 & 99.6410104919698 & 0.445284813075463 \tabularnewline
0.28 & 99.7267447988274 & 0.415367151511895 \tabularnewline
0.29 & 99.806365770535 & 0.397182916907891 \tabularnewline
0.3 & 99.8816847992976 & 0.388690840075577 \tabularnewline
0.31 & 99.9542286320806 & 0.386971532583279 \tabularnewline
0.32 & 100.025135590067 & 0.389048911183929 \tabularnewline
0.33 & 100.095138528457 & 0.391966730978927 \tabularnewline
0.34 & 100.164620154696 & 0.393903378176104 \tabularnewline
0.35 & 100.233718342992 & 0.394349330994929 \tabularnewline
0.36 & 100.30245601111 & 0.393066075075924 \tabularnewline
0.37 & 100.37087117256 & 0.391268379829967 \tabularnewline
0.38 & 100.439126773257 & 0.390284927835612 \tabularnewline
0.39 & 100.507585632428 & 0.392321932059739 \tabularnewline
0.4 & 100.576842152775 & 0.399256340591239 \tabularnewline
0.41 & 100.647708633648 & 0.412694444729668 \tabularnewline
0.42 & 100.721159496257 & 0.433668335725497 \tabularnewline
0.43 & 100.798241241462 & 0.462462133690622 \tabularnewline
0.44 & 100.879959393571 & 0.498013242090462 \tabularnewline
0.45 & 100.967155977238 & 0.538587916116606 \tabularnewline
0.46 & 101.060392147802 & 0.581767305162559 \tabularnewline
0.47 & 101.159850325698 & 0.624493028391877 \tabularnewline
0.48 & 101.265268451172 & 0.663692820162078 \tabularnewline
0.49 & 101.375915745701 & 0.696327312906445 \tabularnewline
0.5 & 101.490614802822 & 0.719513489907485 \tabularnewline
0.51 & 101.607809356407 & 0.73129283229837 \tabularnewline
0.52 & 101.725671368675 & 0.730324694372995 \tabularnewline
0.53 & 101.842235990064 & 0.716230996785746 \tabularnewline
0.54 & 101.955549317359 & 0.689584589881751 \tabularnewline
0.55 & 102.063812371148 & 0.651870982230184 \tabularnewline
0.56 & 102.165505622628 & 0.60528853360203 \tabularnewline
0.57 & 102.25948156415 & 0.552533236599631 \tabularnewline
0.58 & 102.345017645986 & 0.496368403938578 \tabularnewline
0.59 & 102.421827497427 & 0.439743452440062 \tabularnewline
0.6 & 102.490033715961 & 0.38502743131326 \tabularnewline
0.61 & 102.550109767157 & 0.334351499263101 \tabularnewline
0.62 & 102.602801115569 & 0.289211871049645 \tabularnewline
0.63 & 102.64903642674 & 0.250537497791653 \tabularnewline
0.64 & 102.68983875439 & 0.218654083000798 \tabularnewline
0.65 & 102.726244554039 & 0.193595567244845 \tabularnewline
0.66 & 102.759235772574 & 0.174809606673895 \tabularnewline
0.67 & 102.78968774138 & 0.161275097702333 \tabularnewline
0.68 & 102.818333566872 & 0.152118811644149 \tabularnewline
0.69 & 102.845744347295 & 0.146089538300059 \tabularnewline
0.7 & 102.87232379888 & 0.14206558178801 \tabularnewline
0.71 & 102.898315538241 & 0.13899328121454 \tabularnewline
0.72 & 102.923821076411 & 0.136051707050868 \tabularnewline
0.73 & 102.948826321891 & 0.132507674963449 \tabularnewline
0.74 & 102.973233986107 & 0.128168204457232 \tabularnewline
0.75 & 102.996898816139 & 0.122700992329811 \tabularnewline
0.76 & 103.019662256639 & 0.116233119609057 \tabularnewline
0.77 & 103.041383221376 & 0.108893089150924 \tabularnewline
0.78 & 103.061962321081 & 0.10102446691043 \tabularnewline
0.79 & 103.08135815306 & 0.0931648702866067 \tabularnewline
0.8 & 103.099595861894 & 0.085445474327259 \tabularnewline
0.81 & 103.116769642169 & 0.0784174587529554 \tabularnewline
0.82 & 103.133041569906 & 0.0722872049598561 \tabularnewline
0.83 & 103.148638637016 & 0.0672299498412315 \tabularnewline
0.84 & 103.16384807113 & 0.0635049971498052 \tabularnewline
0.85 & 103.179008599439 & 0.0612819046217997 \tabularnewline
0.86 & 103.19449366219 & 0.0607501245133845 \tabularnewline
0.87 & 103.210683489383 & 0.0617792725393912 \tabularnewline
0.88 & 103.227927681632 & 0.0641764112025331 \tabularnewline
0.89 & 103.246507841529 & 0.0672276915455284 \tabularnewline
0.9 & 103.266617061644 & 0.0702586223466642 \tabularnewline
0.91 & 103.2883725743 & 0.0725480113118681 \tabularnewline
0.92 & 103.311861759478 & 0.0737686014082796 \tabularnewline
0.93 & 103.337187791454 & 0.0742024153734422 \tabularnewline
0.94 & 103.364442073045 & 0.0744650429291257 \tabularnewline
0.95 & 103.393519342707 & 0.0746654081043774 \tabularnewline
0.96 & 103.423751424818 & 0.0732290777425555 \tabularnewline
0.97 & 103.45348537644 & 0.0668524025898491 \tabularnewline
0.98 & 103.479920052463 & 0.0527787660267023 \tabularnewline
0.99 & 103.499619486561 & 0.0335142353643979 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282116&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]96.9470752149694[/C][C]0.0254739078524231[/C][/ROW]
[ROW][C]0.02[/C][C]96.9672650699288[/C][C]0.0738151167855624[/C][/ROW]
[ROW][C]0.03[/C][C]97.0047945443691[/C][C]0.131306534302915[/C][/ROW]
[ROW][C]0.04[/C][C]97.0595779353272[/C][C]0.181148736086096[/C][/ROW]
[ROW][C]0.05[/C][C]97.1277709146657[/C][C]0.214090840857157[/C][/ROW]
[ROW][C]0.06[/C][C]97.2039649593599[/C][C]0.231025569982358[/C][/ROW]
[ROW][C]0.07[/C][C]97.2834432847116[/C][C]0.239371501278348[/C][/ROW]
[ROW][C]0.08[/C][C]97.3634735591569[/C][C]0.247596112346816[/C][/ROW]
[ROW][C]0.09[/C][C]97.4435095230458[/C][C]0.262168228951259[/C][/ROW]
[ROW][C]0.1[/C][C]97.5247149481278[/C][C]0.286760510583371[/C][/ROW]
[ROW][C]0.11[/C][C]97.6092799293403[/C][C]0.323534569801918[/C][/ROW]
[ROW][C]0.12[/C][C]97.6997976002004[/C][C]0.373063208543853[/C][/ROW]
[ROW][C]0.13[/C][C]97.7987629634988[/C][C]0.434144639748448[/C][/ROW]
[ROW][C]0.14[/C][C]97.9081616911981[/C][C]0.503465292990655[/C][/ROW]
[ROW][C]0.15[/C][C]98.0291240788244[/C][C]0.575730965146639[/C][/ROW]
[ROW][C]0.16[/C][C]98.16166466222[/C][C]0.644626179294762[/C][/ROW]
[ROW][C]0.17[/C][C]98.3045581605888[/C][C]0.703060845395149[/C][/ROW]
[ROW][C]0.18[/C][C]98.4553967010084[/C][C]0.745067562788885[/C][/ROW]
[ROW][C]0.19[/C][C]98.6108381263873[/C][C]0.766603612236548[/C][/ROW]
[ROW][C]0.2[/C][C]98.767009489347[/C][C]0.765973659252278[/C][/ROW]
[ROW][C]0.21[/C][C]98.9199924475436[/C][C]0.744283771787126[/C][/ROW]
[ROW][C]0.22[/C][C]99.0663001399886[/C][C]0.704915847893678[/C][/ROW]
[ROW][C]0.23[/C][C]99.2032613602368[/C][C]0.653362110473415[/C][/ROW]
[ROW][C]0.24[/C][C]99.3292530985665[/C][C]0.595837185359787[/C][/ROW]
[ROW][C]0.25[/C][C]99.4437579727419[/C][C]0.53850602351084[/C][/ROW]
[ROW][C]0.26[/C][C]99.5472588031298[/C][C]0.486993875565415[/C][/ROW]
[ROW][C]0.27[/C][C]99.6410104919698[/C][C]0.445284813075463[/C][/ROW]
[ROW][C]0.28[/C][C]99.7267447988274[/C][C]0.415367151511895[/C][/ROW]
[ROW][C]0.29[/C][C]99.806365770535[/C][C]0.397182916907891[/C][/ROW]
[ROW][C]0.3[/C][C]99.8816847992976[/C][C]0.388690840075577[/C][/ROW]
[ROW][C]0.31[/C][C]99.9542286320806[/C][C]0.386971532583279[/C][/ROW]
[ROW][C]0.32[/C][C]100.025135590067[/C][C]0.389048911183929[/C][/ROW]
[ROW][C]0.33[/C][C]100.095138528457[/C][C]0.391966730978927[/C][/ROW]
[ROW][C]0.34[/C][C]100.164620154696[/C][C]0.393903378176104[/C][/ROW]
[ROW][C]0.35[/C][C]100.233718342992[/C][C]0.394349330994929[/C][/ROW]
[ROW][C]0.36[/C][C]100.30245601111[/C][C]0.393066075075924[/C][/ROW]
[ROW][C]0.37[/C][C]100.37087117256[/C][C]0.391268379829967[/C][/ROW]
[ROW][C]0.38[/C][C]100.439126773257[/C][C]0.390284927835612[/C][/ROW]
[ROW][C]0.39[/C][C]100.507585632428[/C][C]0.392321932059739[/C][/ROW]
[ROW][C]0.4[/C][C]100.576842152775[/C][C]0.399256340591239[/C][/ROW]
[ROW][C]0.41[/C][C]100.647708633648[/C][C]0.412694444729668[/C][/ROW]
[ROW][C]0.42[/C][C]100.721159496257[/C][C]0.433668335725497[/C][/ROW]
[ROW][C]0.43[/C][C]100.798241241462[/C][C]0.462462133690622[/C][/ROW]
[ROW][C]0.44[/C][C]100.879959393571[/C][C]0.498013242090462[/C][/ROW]
[ROW][C]0.45[/C][C]100.967155977238[/C][C]0.538587916116606[/C][/ROW]
[ROW][C]0.46[/C][C]101.060392147802[/C][C]0.581767305162559[/C][/ROW]
[ROW][C]0.47[/C][C]101.159850325698[/C][C]0.624493028391877[/C][/ROW]
[ROW][C]0.48[/C][C]101.265268451172[/C][C]0.663692820162078[/C][/ROW]
[ROW][C]0.49[/C][C]101.375915745701[/C][C]0.696327312906445[/C][/ROW]
[ROW][C]0.5[/C][C]101.490614802822[/C][C]0.719513489907485[/C][/ROW]
[ROW][C]0.51[/C][C]101.607809356407[/C][C]0.73129283229837[/C][/ROW]
[ROW][C]0.52[/C][C]101.725671368675[/C][C]0.730324694372995[/C][/ROW]
[ROW][C]0.53[/C][C]101.842235990064[/C][C]0.716230996785746[/C][/ROW]
[ROW][C]0.54[/C][C]101.955549317359[/C][C]0.689584589881751[/C][/ROW]
[ROW][C]0.55[/C][C]102.063812371148[/C][C]0.651870982230184[/C][/ROW]
[ROW][C]0.56[/C][C]102.165505622628[/C][C]0.60528853360203[/C][/ROW]
[ROW][C]0.57[/C][C]102.25948156415[/C][C]0.552533236599631[/C][/ROW]
[ROW][C]0.58[/C][C]102.345017645986[/C][C]0.496368403938578[/C][/ROW]
[ROW][C]0.59[/C][C]102.421827497427[/C][C]0.439743452440062[/C][/ROW]
[ROW][C]0.6[/C][C]102.490033715961[/C][C]0.38502743131326[/C][/ROW]
[ROW][C]0.61[/C][C]102.550109767157[/C][C]0.334351499263101[/C][/ROW]
[ROW][C]0.62[/C][C]102.602801115569[/C][C]0.289211871049645[/C][/ROW]
[ROW][C]0.63[/C][C]102.64903642674[/C][C]0.250537497791653[/C][/ROW]
[ROW][C]0.64[/C][C]102.68983875439[/C][C]0.218654083000798[/C][/ROW]
[ROW][C]0.65[/C][C]102.726244554039[/C][C]0.193595567244845[/C][/ROW]
[ROW][C]0.66[/C][C]102.759235772574[/C][C]0.174809606673895[/C][/ROW]
[ROW][C]0.67[/C][C]102.78968774138[/C][C]0.161275097702333[/C][/ROW]
[ROW][C]0.68[/C][C]102.818333566872[/C][C]0.152118811644149[/C][/ROW]
[ROW][C]0.69[/C][C]102.845744347295[/C][C]0.146089538300059[/C][/ROW]
[ROW][C]0.7[/C][C]102.87232379888[/C][C]0.14206558178801[/C][/ROW]
[ROW][C]0.71[/C][C]102.898315538241[/C][C]0.13899328121454[/C][/ROW]
[ROW][C]0.72[/C][C]102.923821076411[/C][C]0.136051707050868[/C][/ROW]
[ROW][C]0.73[/C][C]102.948826321891[/C][C]0.132507674963449[/C][/ROW]
[ROW][C]0.74[/C][C]102.973233986107[/C][C]0.128168204457232[/C][/ROW]
[ROW][C]0.75[/C][C]102.996898816139[/C][C]0.122700992329811[/C][/ROW]
[ROW][C]0.76[/C][C]103.019662256639[/C][C]0.116233119609057[/C][/ROW]
[ROW][C]0.77[/C][C]103.041383221376[/C][C]0.108893089150924[/C][/ROW]
[ROW][C]0.78[/C][C]103.061962321081[/C][C]0.10102446691043[/C][/ROW]
[ROW][C]0.79[/C][C]103.08135815306[/C][C]0.0931648702866067[/C][/ROW]
[ROW][C]0.8[/C][C]103.099595861894[/C][C]0.085445474327259[/C][/ROW]
[ROW][C]0.81[/C][C]103.116769642169[/C][C]0.0784174587529554[/C][/ROW]
[ROW][C]0.82[/C][C]103.133041569906[/C][C]0.0722872049598561[/C][/ROW]
[ROW][C]0.83[/C][C]103.148638637016[/C][C]0.0672299498412315[/C][/ROW]
[ROW][C]0.84[/C][C]103.16384807113[/C][C]0.0635049971498052[/C][/ROW]
[ROW][C]0.85[/C][C]103.179008599439[/C][C]0.0612819046217997[/C][/ROW]
[ROW][C]0.86[/C][C]103.19449366219[/C][C]0.0607501245133845[/C][/ROW]
[ROW][C]0.87[/C][C]103.210683489383[/C][C]0.0617792725393912[/C][/ROW]
[ROW][C]0.88[/C][C]103.227927681632[/C][C]0.0641764112025331[/C][/ROW]
[ROW][C]0.89[/C][C]103.246507841529[/C][C]0.0672276915455284[/C][/ROW]
[ROW][C]0.9[/C][C]103.266617061644[/C][C]0.0702586223466642[/C][/ROW]
[ROW][C]0.91[/C][C]103.2883725743[/C][C]0.0725480113118681[/C][/ROW]
[ROW][C]0.92[/C][C]103.311861759478[/C][C]0.0737686014082796[/C][/ROW]
[ROW][C]0.93[/C][C]103.337187791454[/C][C]0.0742024153734422[/C][/ROW]
[ROW][C]0.94[/C][C]103.364442073045[/C][C]0.0744650429291257[/C][/ROW]
[ROW][C]0.95[/C][C]103.393519342707[/C][C]0.0746654081043774[/C][/ROW]
[ROW][C]0.96[/C][C]103.423751424818[/C][C]0.0732290777425555[/C][/ROW]
[ROW][C]0.97[/C][C]103.45348537644[/C][C]0.0668524025898491[/C][/ROW]
[ROW][C]0.98[/C][C]103.479920052463[/C][C]0.0527787660267023[/C][/ROW]
[ROW][C]0.99[/C][C]103.499619486561[/C][C]0.0335142353643979[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282116&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282116&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
0.0196.94707521496940.0254739078524231
0.0296.96726506992880.0738151167855624
0.0397.00479454436910.131306534302915
0.0497.05957793532720.181148736086096
0.0597.12777091466570.214090840857157
0.0697.20396495935990.231025569982358
0.0797.28344328471160.239371501278348
0.0897.36347355915690.247596112346816
0.0997.44350952304580.262168228951259
0.197.52471494812780.286760510583371
0.1197.60927992934030.323534569801918
0.1297.69979760020040.373063208543853
0.1397.79876296349880.434144639748448
0.1497.90816169119810.503465292990655
0.1598.02912407882440.575730965146639
0.1698.161664662220.644626179294762
0.1798.30455816058880.703060845395149
0.1898.45539670100840.745067562788885
0.1998.61083812638730.766603612236548
0.298.7670094893470.765973659252278
0.2198.91999244754360.744283771787126
0.2299.06630013998860.704915847893678
0.2399.20326136023680.653362110473415
0.2499.32925309856650.595837185359787
0.2599.44375797274190.53850602351084
0.2699.54725880312980.486993875565415
0.2799.64101049196980.445284813075463
0.2899.72674479882740.415367151511895
0.2999.8063657705350.397182916907891
0.399.88168479929760.388690840075577
0.3199.95422863208060.386971532583279
0.32100.0251355900670.389048911183929
0.33100.0951385284570.391966730978927
0.34100.1646201546960.393903378176104
0.35100.2337183429920.394349330994929
0.36100.302456011110.393066075075924
0.37100.370871172560.391268379829967
0.38100.4391267732570.390284927835612
0.39100.5075856324280.392321932059739
0.4100.5768421527750.399256340591239
0.41100.6477086336480.412694444729668
0.42100.7211594962570.433668335725497
0.43100.7982412414620.462462133690622
0.44100.8799593935710.498013242090462
0.45100.9671559772380.538587916116606
0.46101.0603921478020.581767305162559
0.47101.1598503256980.624493028391877
0.48101.2652684511720.663692820162078
0.49101.3759157457010.696327312906445
0.5101.4906148028220.719513489907485
0.51101.6078093564070.73129283229837
0.52101.7256713686750.730324694372995
0.53101.8422359900640.716230996785746
0.54101.9555493173590.689584589881751
0.55102.0638123711480.651870982230184
0.56102.1655056226280.60528853360203
0.57102.259481564150.552533236599631
0.58102.3450176459860.496368403938578
0.59102.4218274974270.439743452440062
0.6102.4900337159610.38502743131326
0.61102.5501097671570.334351499263101
0.62102.6028011155690.289211871049645
0.63102.649036426740.250537497791653
0.64102.689838754390.218654083000798
0.65102.7262445540390.193595567244845
0.66102.7592357725740.174809606673895
0.67102.789687741380.161275097702333
0.68102.8183335668720.152118811644149
0.69102.8457443472950.146089538300059
0.7102.872323798880.14206558178801
0.71102.8983155382410.13899328121454
0.72102.9238210764110.136051707050868
0.73102.9488263218910.132507674963449
0.74102.9732339861070.128168204457232
0.75102.9968988161390.122700992329811
0.76103.0196622566390.116233119609057
0.77103.0413832213760.108893089150924
0.78103.0619623210810.10102446691043
0.79103.081358153060.0931648702866067
0.8103.0995958618940.085445474327259
0.81103.1167696421690.0784174587529554
0.82103.1330415699060.0722872049598561
0.83103.1486386370160.0672299498412315
0.84103.163848071130.0635049971498052
0.85103.1790085994390.0612819046217997
0.86103.194493662190.0607501245133845
0.87103.2106834893830.0617792725393912
0.88103.2279276816320.0641764112025331
0.89103.2465078415290.0672276915455284
0.9103.2666170616440.0702586223466642
0.91103.28837257430.0725480113118681
0.92103.3118617594780.0737686014082796
0.93103.3371877914540.0742024153734422
0.94103.3644420730450.0744650429291257
0.95103.3935193427070.0746654081043774
0.96103.4237514248180.0732290777425555
0.97103.453485376440.0668524025898491
0.98103.4799200524630.0527787660267023
0.99103.4996194865610.0335142353643979


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')