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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 09 Oct 2011 16:17:41 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/09/t13181915065extf6xwgb0m16u.htm/, Retrieved Sun, 19 May 2024 02:20:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=127492, Retrieved Sun, 19 May 2024 02:20:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact73

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] [Harrell-Davis PER...] [2011-10-09 20:17:41] [e2f4ec8028a6c4bb839b6001939b0660] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.12
2.13
2.16
2.25
2.26
2.39
2.36
2.26
2.26
2.27
2.29
2.21
2.17
2.17
2.08
2.12
2.18
2.13
2.21
2.06
1.91
1.99
2.04
2.02
2.01
2.1
2.01
2.07
2.05
2.1
2.15
2.15
1.96
2.06
2.07
2.05
2.08
2.14
2.16
2.35
2.31
2.2
2.3
2.22
2.14
2.17
2.12
2.1
2.17
2.29
2.17
2.25
2.13
2.23
2.17
2.24
2.13
2.16
2.1
2.05
2.03
2.24
2.17
2.13
2.21
2.18
2.21
2.23
2.09
2.16
2.13
2.12

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'George Udny Yule' @ yule.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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127492&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127492&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127492&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.925356388589510.0436558918009398
0.021.947405762530730.0365915051425498
0.031.968398552373440.0303252589143363
0.041.985200602333290.0250430456752464
0.051.997908121564920.0209910710865326
0.062.007636140125190.0184758259072665
0.072.015453832528810.0173004362231019
0.082.022107043541480.016841501588768
0.092.02802884929080.0165126936227616
0.12.033428866441510.0160151641965485
0.112.038392912607470.0153282052486951
0.122.042962833781540.0145919740604831
0.132.047183527375490.0139847694560644
0.142.051118915232940.0136368633103726
0.152.054847410984210.0135940000724064
0.162.058448926120240.0138207881347955
0.172.061992294885510.0142358528012416
0.182.065527503597690.0147458941956028
0.192.06908345642370.01526865411077
0.22.072669967701220.0157399350365722
0.212.076282066690710.0161212152835751
0.222.079904965350260.0163861257661176
0.232.083518613229850.0165285407769069
0.242.087101292958950.016549445794764
0.252.090632071480290.0164605818806234
0.262.094092140859390.016276527826719
0.272.097465226974020.0160113367405331
0.282.100737356658920.0156718637946576
0.292.103896350232110.0152618629997021
0.32.106931417683070.0147827265635965
0.312.109833161584820.0142327913265141
0.322.112594136003820.013620468954925
0.332.115209917217110.012963079188749
0.342.117680463044780.0122901431755078
0.352.120011421211050.0116395954979328
0.362.122215019772630.0110534838547909
0.372.124310234250850.0105813975877311
0.382.126322055373980.0102625467329596
0.392.128279845802510.010123940703485
0.42.130214939844890.0101741640935396
0.412.132157777667020.0103994011185423
0.422.134134953167580.0107644003937944
0.432.136166579626170.0112187254979286
0.442.138264336230860.011698480239595
0.452.140430459068790.0121471822898504
0.462.142657800102270.0125134330015446
0.472.144930923320190.0127517562021519
0.482.147228068188550.0128348587272052
0.492.149523712606730.0127522565543426
0.52.151791426200360.0125078076913777
0.512.154006720464350.0121242571535332
0.522.156149660503110.0116330585195705
0.532.15820707889140.0110764367766224
0.542.160174298079150.0105054900943477
0.552.162056303187250.00997539261677709
0.562.163868305660220.0095474644410683
0.572.165635611079470.00927941894618013
0.582.167392677184920.0092327062275627
0.592.169181252994610.00945078921402242
0.62.171047553915890.00995223603413495
0.612.173038561072170.0107316581258107
0.622.175197720890890.0117453138902505
0.632.177560522350.0129251159168647
0.642.180150584684710.0141799340859337
0.652.182976935527620.0154178858718463
0.662.186033053724280.0165416424298233
0.672.189297984682560.0174745721593445
0.682.192739449436570.01816730172815
0.692.196318447198340.0185989944499546
0.72.199994506453960.018777860268788
0.712.203730576525270.0187484624752291
0.722.207496632366890.0185706476904208
0.732.211271383843910.0183034130200814
0.742.215041957255040.0179990904332538
0.752.218801921155990.0176882155355766
0.762.222548423225220.0173787290816714
0.772.226279393381370.0170602956204924
0.782.229991725120010.0167142681347255
0.792.233681114289330.0163252272194015
0.82.237343884637730.0158881311455016
0.812.240980714690720.0154176031275543
0.822.244601707647960.014953480511283
0.832.248231711594820.014560967214707
0.842.251914287983650.0143241608108367
0.852.255712529816250.0143328769994777
0.862.259705541049380.0146476865266915
0.872.263981267443610.0152686140844136
0.882.268629412410870.0161199989406251
0.892.273741044920190.017080757211897
0.92.279421350025950.0180761737800786
0.912.285815323704710.0191695750646217
0.922.293132108396590.0205950555345575
0.932.301638966479610.0226168716771024
0.942.311599105017270.0251494775907572
0.952.323168924427610.0274354016459579
0.962.336329474346470.0282620076723775
0.972.350883164326380.0270510099933483
0.982.366253401421520.0254361227244028
0.992.380605896718010.0265699195717317

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.92535638858951 & 0.0436558918009398 \tabularnewline
0.02 & 1.94740576253073 & 0.0365915051425498 \tabularnewline
0.03 & 1.96839855237344 & 0.0303252589143363 \tabularnewline
0.04 & 1.98520060233329 & 0.0250430456752464 \tabularnewline
0.05 & 1.99790812156492 & 0.0209910710865326 \tabularnewline
0.06 & 2.00763614012519 & 0.0184758259072665 \tabularnewline
0.07 & 2.01545383252881 & 0.0173004362231019 \tabularnewline
0.08 & 2.02210704354148 & 0.016841501588768 \tabularnewline
0.09 & 2.0280288492908 & 0.0165126936227616 \tabularnewline
0.1 & 2.03342886644151 & 0.0160151641965485 \tabularnewline
0.11 & 2.03839291260747 & 0.0153282052486951 \tabularnewline
0.12 & 2.04296283378154 & 0.0145919740604831 \tabularnewline
0.13 & 2.04718352737549 & 0.0139847694560644 \tabularnewline
0.14 & 2.05111891523294 & 0.0136368633103726 \tabularnewline
0.15 & 2.05484741098421 & 0.0135940000724064 \tabularnewline
0.16 & 2.05844892612024 & 0.0138207881347955 \tabularnewline
0.17 & 2.06199229488551 & 0.0142358528012416 \tabularnewline
0.18 & 2.06552750359769 & 0.0147458941956028 \tabularnewline
0.19 & 2.0690834564237 & 0.01526865411077 \tabularnewline
0.2 & 2.07266996770122 & 0.0157399350365722 \tabularnewline
0.21 & 2.07628206669071 & 0.0161212152835751 \tabularnewline
0.22 & 2.07990496535026 & 0.0163861257661176 \tabularnewline
0.23 & 2.08351861322985 & 0.0165285407769069 \tabularnewline
0.24 & 2.08710129295895 & 0.016549445794764 \tabularnewline
0.25 & 2.09063207148029 & 0.0164605818806234 \tabularnewline
0.26 & 2.09409214085939 & 0.016276527826719 \tabularnewline
0.27 & 2.09746522697402 & 0.0160113367405331 \tabularnewline
0.28 & 2.10073735665892 & 0.0156718637946576 \tabularnewline
0.29 & 2.10389635023211 & 0.0152618629997021 \tabularnewline
0.3 & 2.10693141768307 & 0.0147827265635965 \tabularnewline
0.31 & 2.10983316158482 & 0.0142327913265141 \tabularnewline
0.32 & 2.11259413600382 & 0.013620468954925 \tabularnewline
0.33 & 2.11520991721711 & 0.012963079188749 \tabularnewline
0.34 & 2.11768046304478 & 0.0122901431755078 \tabularnewline
0.35 & 2.12001142121105 & 0.0116395954979328 \tabularnewline
0.36 & 2.12221501977263 & 0.0110534838547909 \tabularnewline
0.37 & 2.12431023425085 & 0.0105813975877311 \tabularnewline
0.38 & 2.12632205537398 & 0.0102625467329596 \tabularnewline
0.39 & 2.12827984580251 & 0.010123940703485 \tabularnewline
0.4 & 2.13021493984489 & 0.0101741640935396 \tabularnewline
0.41 & 2.13215777766702 & 0.0103994011185423 \tabularnewline
0.42 & 2.13413495316758 & 0.0107644003937944 \tabularnewline
0.43 & 2.13616657962617 & 0.0112187254979286 \tabularnewline
0.44 & 2.13826433623086 & 0.011698480239595 \tabularnewline
0.45 & 2.14043045906879 & 0.0121471822898504 \tabularnewline
0.46 & 2.14265780010227 & 0.0125134330015446 \tabularnewline
0.47 & 2.14493092332019 & 0.0127517562021519 \tabularnewline
0.48 & 2.14722806818855 & 0.0128348587272052 \tabularnewline
0.49 & 2.14952371260673 & 0.0127522565543426 \tabularnewline
0.5 & 2.15179142620036 & 0.0125078076913777 \tabularnewline
0.51 & 2.15400672046435 & 0.0121242571535332 \tabularnewline
0.52 & 2.15614966050311 & 0.0116330585195705 \tabularnewline
0.53 & 2.1582070788914 & 0.0110764367766224 \tabularnewline
0.54 & 2.16017429807915 & 0.0105054900943477 \tabularnewline
0.55 & 2.16205630318725 & 0.00997539261677709 \tabularnewline
0.56 & 2.16386830566022 & 0.0095474644410683 \tabularnewline
0.57 & 2.16563561107947 & 0.00927941894618013 \tabularnewline
0.58 & 2.16739267718492 & 0.0092327062275627 \tabularnewline
0.59 & 2.16918125299461 & 0.00945078921402242 \tabularnewline
0.6 & 2.17104755391589 & 0.00995223603413495 \tabularnewline
0.61 & 2.17303856107217 & 0.0107316581258107 \tabularnewline
0.62 & 2.17519772089089 & 0.0117453138902505 \tabularnewline
0.63 & 2.17756052235 & 0.0129251159168647 \tabularnewline
0.64 & 2.18015058468471 & 0.0141799340859337 \tabularnewline
0.65 & 2.18297693552762 & 0.0154178858718463 \tabularnewline
0.66 & 2.18603305372428 & 0.0165416424298233 \tabularnewline
0.67 & 2.18929798468256 & 0.0174745721593445 \tabularnewline
0.68 & 2.19273944943657 & 0.01816730172815 \tabularnewline
0.69 & 2.19631844719834 & 0.0185989944499546 \tabularnewline
0.7 & 2.19999450645396 & 0.018777860268788 \tabularnewline
0.71 & 2.20373057652527 & 0.0187484624752291 \tabularnewline
0.72 & 2.20749663236689 & 0.0185706476904208 \tabularnewline
0.73 & 2.21127138384391 & 0.0183034130200814 \tabularnewline
0.74 & 2.21504195725504 & 0.0179990904332538 \tabularnewline
0.75 & 2.21880192115599 & 0.0176882155355766 \tabularnewline
0.76 & 2.22254842322522 & 0.0173787290816714 \tabularnewline
0.77 & 2.22627939338137 & 0.0170602956204924 \tabularnewline
0.78 & 2.22999172512001 & 0.0167142681347255 \tabularnewline
0.79 & 2.23368111428933 & 0.0163252272194015 \tabularnewline
0.8 & 2.23734388463773 & 0.0158881311455016 \tabularnewline
0.81 & 2.24098071469072 & 0.0154176031275543 \tabularnewline
0.82 & 2.24460170764796 & 0.014953480511283 \tabularnewline
0.83 & 2.24823171159482 & 0.014560967214707 \tabularnewline
0.84 & 2.25191428798365 & 0.0143241608108367 \tabularnewline
0.85 & 2.25571252981625 & 0.0143328769994777 \tabularnewline
0.86 & 2.25970554104938 & 0.0146476865266915 \tabularnewline
0.87 & 2.26398126744361 & 0.0152686140844136 \tabularnewline
0.88 & 2.26862941241087 & 0.0161199989406251 \tabularnewline
0.89 & 2.27374104492019 & 0.017080757211897 \tabularnewline
0.9 & 2.27942135002595 & 0.0180761737800786 \tabularnewline
0.91 & 2.28581532370471 & 0.0191695750646217 \tabularnewline
0.92 & 2.29313210839659 & 0.0205950555345575 \tabularnewline
0.93 & 2.30163896647961 & 0.0226168716771024 \tabularnewline
0.94 & 2.31159910501727 & 0.0251494775907572 \tabularnewline
0.95 & 2.32316892442761 & 0.0274354016459579 \tabularnewline
0.96 & 2.33632947434647 & 0.0282620076723775 \tabularnewline
0.97 & 2.35088316432638 & 0.0270510099933483 \tabularnewline
0.98 & 2.36625340142152 & 0.0254361227244028 \tabularnewline
0.99 & 2.38060589671801 & 0.0265699195717317 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127492&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]1.92535638858951[/C][C]0.0436558918009398[/C][/ROW]
[ROW][C]0.02[/C][C]1.94740576253073[/C][C]0.0365915051425498[/C][/ROW]
[ROW][C]0.03[/C][C]1.96839855237344[/C][C]0.0303252589143363[/C][/ROW]
[ROW][C]0.04[/C][C]1.98520060233329[/C][C]0.0250430456752464[/C][/ROW]
[ROW][C]0.05[/C][C]1.99790812156492[/C][C]0.0209910710865326[/C][/ROW]
[ROW][C]0.06[/C][C]2.00763614012519[/C][C]0.0184758259072665[/C][/ROW]
[ROW][C]0.07[/C][C]2.01545383252881[/C][C]0.0173004362231019[/C][/ROW]
[ROW][C]0.08[/C][C]2.02210704354148[/C][C]0.016841501588768[/C][/ROW]
[ROW][C]0.09[/C][C]2.0280288492908[/C][C]0.0165126936227616[/C][/ROW]
[ROW][C]0.1[/C][C]2.03342886644151[/C][C]0.0160151641965485[/C][/ROW]
[ROW][C]0.11[/C][C]2.03839291260747[/C][C]0.0153282052486951[/C][/ROW]
[ROW][C]0.12[/C][C]2.04296283378154[/C][C]0.0145919740604831[/C][/ROW]
[ROW][C]0.13[/C][C]2.04718352737549[/C][C]0.0139847694560644[/C][/ROW]
[ROW][C]0.14[/C][C]2.05111891523294[/C][C]0.0136368633103726[/C][/ROW]
[ROW][C]0.15[/C][C]2.05484741098421[/C][C]0.0135940000724064[/C][/ROW]
[ROW][C]0.16[/C][C]2.05844892612024[/C][C]0.0138207881347955[/C][/ROW]
[ROW][C]0.17[/C][C]2.06199229488551[/C][C]0.0142358528012416[/C][/ROW]
[ROW][C]0.18[/C][C]2.06552750359769[/C][C]0.0147458941956028[/C][/ROW]
[ROW][C]0.19[/C][C]2.0690834564237[/C][C]0.01526865411077[/C][/ROW]
[ROW][C]0.2[/C][C]2.07266996770122[/C][C]0.0157399350365722[/C][/ROW]
[ROW][C]0.21[/C][C]2.07628206669071[/C][C]0.0161212152835751[/C][/ROW]
[ROW][C]0.22[/C][C]2.07990496535026[/C][C]0.0163861257661176[/C][/ROW]
[ROW][C]0.23[/C][C]2.08351861322985[/C][C]0.0165285407769069[/C][/ROW]
[ROW][C]0.24[/C][C]2.08710129295895[/C][C]0.016549445794764[/C][/ROW]
[ROW][C]0.25[/C][C]2.09063207148029[/C][C]0.0164605818806234[/C][/ROW]
[ROW][C]0.26[/C][C]2.09409214085939[/C][C]0.016276527826719[/C][/ROW]
[ROW][C]0.27[/C][C]2.09746522697402[/C][C]0.0160113367405331[/C][/ROW]
[ROW][C]0.28[/C][C]2.10073735665892[/C][C]0.0156718637946576[/C][/ROW]
[ROW][C]0.29[/C][C]2.10389635023211[/C][C]0.0152618629997021[/C][/ROW]
[ROW][C]0.3[/C][C]2.10693141768307[/C][C]0.0147827265635965[/C][/ROW]
[ROW][C]0.31[/C][C]2.10983316158482[/C][C]0.0142327913265141[/C][/ROW]
[ROW][C]0.32[/C][C]2.11259413600382[/C][C]0.013620468954925[/C][/ROW]
[ROW][C]0.33[/C][C]2.11520991721711[/C][C]0.012963079188749[/C][/ROW]
[ROW][C]0.34[/C][C]2.11768046304478[/C][C]0.0122901431755078[/C][/ROW]
[ROW][C]0.35[/C][C]2.12001142121105[/C][C]0.0116395954979328[/C][/ROW]
[ROW][C]0.36[/C][C]2.12221501977263[/C][C]0.0110534838547909[/C][/ROW]
[ROW][C]0.37[/C][C]2.12431023425085[/C][C]0.0105813975877311[/C][/ROW]
[ROW][C]0.38[/C][C]2.12632205537398[/C][C]0.0102625467329596[/C][/ROW]
[ROW][C]0.39[/C][C]2.12827984580251[/C][C]0.010123940703485[/C][/ROW]
[ROW][C]0.4[/C][C]2.13021493984489[/C][C]0.0101741640935396[/C][/ROW]
[ROW][C]0.41[/C][C]2.13215777766702[/C][C]0.0103994011185423[/C][/ROW]
[ROW][C]0.42[/C][C]2.13413495316758[/C][C]0.0107644003937944[/C][/ROW]
[ROW][C]0.43[/C][C]2.13616657962617[/C][C]0.0112187254979286[/C][/ROW]
[ROW][C]0.44[/C][C]2.13826433623086[/C][C]0.011698480239595[/C][/ROW]
[ROW][C]0.45[/C][C]2.14043045906879[/C][C]0.0121471822898504[/C][/ROW]
[ROW][C]0.46[/C][C]2.14265780010227[/C][C]0.0125134330015446[/C][/ROW]
[ROW][C]0.47[/C][C]2.14493092332019[/C][C]0.0127517562021519[/C][/ROW]
[ROW][C]0.48[/C][C]2.14722806818855[/C][C]0.0128348587272052[/C][/ROW]
[ROW][C]0.49[/C][C]2.14952371260673[/C][C]0.0127522565543426[/C][/ROW]
[ROW][C]0.5[/C][C]2.15179142620036[/C][C]0.0125078076913777[/C][/ROW]
[ROW][C]0.51[/C][C]2.15400672046435[/C][C]0.0121242571535332[/C][/ROW]
[ROW][C]0.52[/C][C]2.15614966050311[/C][C]0.0116330585195705[/C][/ROW]
[ROW][C]0.53[/C][C]2.1582070788914[/C][C]0.0110764367766224[/C][/ROW]
[ROW][C]0.54[/C][C]2.16017429807915[/C][C]0.0105054900943477[/C][/ROW]
[ROW][C]0.55[/C][C]2.16205630318725[/C][C]0.00997539261677709[/C][/ROW]
[ROW][C]0.56[/C][C]2.16386830566022[/C][C]0.0095474644410683[/C][/ROW]
[ROW][C]0.57[/C][C]2.16563561107947[/C][C]0.00927941894618013[/C][/ROW]
[ROW][C]0.58[/C][C]2.16739267718492[/C][C]0.0092327062275627[/C][/ROW]
[ROW][C]0.59[/C][C]2.16918125299461[/C][C]0.00945078921402242[/C][/ROW]
[ROW][C]0.6[/C][C]2.17104755391589[/C][C]0.00995223603413495[/C][/ROW]
[ROW][C]0.61[/C][C]2.17303856107217[/C][C]0.0107316581258107[/C][/ROW]
[ROW][C]0.62[/C][C]2.17519772089089[/C][C]0.0117453138902505[/C][/ROW]
[ROW][C]0.63[/C][C]2.17756052235[/C][C]0.0129251159168647[/C][/ROW]
[ROW][C]0.64[/C][C]2.18015058468471[/C][C]0.0141799340859337[/C][/ROW]
[ROW][C]0.65[/C][C]2.18297693552762[/C][C]0.0154178858718463[/C][/ROW]
[ROW][C]0.66[/C][C]2.18603305372428[/C][C]0.0165416424298233[/C][/ROW]
[ROW][C]0.67[/C][C]2.18929798468256[/C][C]0.0174745721593445[/C][/ROW]
[ROW][C]0.68[/C][C]2.19273944943657[/C][C]0.01816730172815[/C][/ROW]
[ROW][C]0.69[/C][C]2.19631844719834[/C][C]0.0185989944499546[/C][/ROW]
[ROW][C]0.7[/C][C]2.19999450645396[/C][C]0.018777860268788[/C][/ROW]
[ROW][C]0.71[/C][C]2.20373057652527[/C][C]0.0187484624752291[/C][/ROW]
[ROW][C]0.72[/C][C]2.20749663236689[/C][C]0.0185706476904208[/C][/ROW]
[ROW][C]0.73[/C][C]2.21127138384391[/C][C]0.0183034130200814[/C][/ROW]
[ROW][C]0.74[/C][C]2.21504195725504[/C][C]0.0179990904332538[/C][/ROW]
[ROW][C]0.75[/C][C]2.21880192115599[/C][C]0.0176882155355766[/C][/ROW]
[ROW][C]0.76[/C][C]2.22254842322522[/C][C]0.0173787290816714[/C][/ROW]
[ROW][C]0.77[/C][C]2.22627939338137[/C][C]0.0170602956204924[/C][/ROW]
[ROW][C]0.78[/C][C]2.22999172512001[/C][C]0.0167142681347255[/C][/ROW]
[ROW][C]0.79[/C][C]2.23368111428933[/C][C]0.0163252272194015[/C][/ROW]
[ROW][C]0.8[/C][C]2.23734388463773[/C][C]0.0158881311455016[/C][/ROW]
[ROW][C]0.81[/C][C]2.24098071469072[/C][C]0.0154176031275543[/C][/ROW]
[ROW][C]0.82[/C][C]2.24460170764796[/C][C]0.014953480511283[/C][/ROW]
[ROW][C]0.83[/C][C]2.24823171159482[/C][C]0.014560967214707[/C][/ROW]
[ROW][C]0.84[/C][C]2.25191428798365[/C][C]0.0143241608108367[/C][/ROW]
[ROW][C]0.85[/C][C]2.25571252981625[/C][C]0.0143328769994777[/C][/ROW]
[ROW][C]0.86[/C][C]2.25970554104938[/C][C]0.0146476865266915[/C][/ROW]
[ROW][C]0.87[/C][C]2.26398126744361[/C][C]0.0152686140844136[/C][/ROW]
[ROW][C]0.88[/C][C]2.26862941241087[/C][C]0.0161199989406251[/C][/ROW]
[ROW][C]0.89[/C][C]2.27374104492019[/C][C]0.017080757211897[/C][/ROW]
[ROW][C]0.9[/C][C]2.27942135002595[/C][C]0.0180761737800786[/C][/ROW]
[ROW][C]0.91[/C][C]2.28581532370471[/C][C]0.0191695750646217[/C][/ROW]
[ROW][C]0.92[/C][C]2.29313210839659[/C][C]0.0205950555345575[/C][/ROW]
[ROW][C]0.93[/C][C]2.30163896647961[/C][C]0.0226168716771024[/C][/ROW]
[ROW][C]0.94[/C][C]2.31159910501727[/C][C]0.0251494775907572[/C][/ROW]
[ROW][C]0.95[/C][C]2.32316892442761[/C][C]0.0274354016459579[/C][/ROW]
[ROW][C]0.96[/C][C]2.33632947434647[/C][C]0.0282620076723775[/C][/ROW]
[ROW][C]0.97[/C][C]2.35088316432638[/C][C]0.0270510099933483[/C][/ROW]
[ROW][C]0.98[/C][C]2.36625340142152[/C][C]0.0254361227244028[/C][/ROW]
[ROW][C]0.99[/C][C]2.38060589671801[/C][C]0.0265699195717317[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127492&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127492&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
0.011.925356388589510.0436558918009398
0.021.947405762530730.0365915051425498
0.031.968398552373440.0303252589143363
0.041.985200602333290.0250430456752464
0.051.997908121564920.0209910710865326
0.062.007636140125190.0184758259072665
0.072.015453832528810.0173004362231019
0.082.022107043541480.016841501588768
0.092.02802884929080.0165126936227616
0.12.033428866441510.0160151641965485
0.112.038392912607470.0153282052486951
0.122.042962833781540.0145919740604831
0.132.047183527375490.0139847694560644
0.142.051118915232940.0136368633103726
0.152.054847410984210.0135940000724064
0.162.058448926120240.0138207881347955
0.172.061992294885510.0142358528012416
0.182.065527503597690.0147458941956028
0.192.06908345642370.01526865411077
0.22.072669967701220.0157399350365722
0.212.076282066690710.0161212152835751
0.222.079904965350260.0163861257661176
0.232.083518613229850.0165285407769069
0.242.087101292958950.016549445794764
0.252.090632071480290.0164605818806234
0.262.094092140859390.016276527826719
0.272.097465226974020.0160113367405331
0.282.100737356658920.0156718637946576
0.292.103896350232110.0152618629997021
0.32.106931417683070.0147827265635965
0.312.109833161584820.0142327913265141
0.322.112594136003820.013620468954925
0.332.115209917217110.012963079188749
0.342.117680463044780.0122901431755078
0.352.120011421211050.0116395954979328
0.362.122215019772630.0110534838547909
0.372.124310234250850.0105813975877311
0.382.126322055373980.0102625467329596
0.392.128279845802510.010123940703485
0.42.130214939844890.0101741640935396
0.412.132157777667020.0103994011185423
0.422.134134953167580.0107644003937944
0.432.136166579626170.0112187254979286
0.442.138264336230860.011698480239595
0.452.140430459068790.0121471822898504
0.462.142657800102270.0125134330015446
0.472.144930923320190.0127517562021519
0.482.147228068188550.0128348587272052
0.492.149523712606730.0127522565543426
0.52.151791426200360.0125078076913777
0.512.154006720464350.0121242571535332
0.522.156149660503110.0116330585195705
0.532.15820707889140.0110764367766224
0.542.160174298079150.0105054900943477
0.552.162056303187250.00997539261677709
0.562.163868305660220.0095474644410683
0.572.165635611079470.00927941894618013
0.582.167392677184920.0092327062275627
0.592.169181252994610.00945078921402242
0.62.171047553915890.00995223603413495
0.612.173038561072170.0107316581258107
0.622.175197720890890.0117453138902505
0.632.177560522350.0129251159168647
0.642.180150584684710.0141799340859337
0.652.182976935527620.0154178858718463
0.662.186033053724280.0165416424298233
0.672.189297984682560.0174745721593445
0.682.192739449436570.01816730172815
0.692.196318447198340.0185989944499546
0.72.199994506453960.018777860268788
0.712.203730576525270.0187484624752291
0.722.207496632366890.0185706476904208
0.732.211271383843910.0183034130200814
0.742.215041957255040.0179990904332538
0.752.218801921155990.0176882155355766
0.762.222548423225220.0173787290816714
0.772.226279393381370.0170602956204924
0.782.229991725120010.0167142681347255
0.792.233681114289330.0163252272194015
0.82.237343884637730.0158881311455016
0.812.240980714690720.0154176031275543
0.822.244601707647960.014953480511283
0.832.248231711594820.014560967214707
0.842.251914287983650.0143241608108367
0.852.255712529816250.0143328769994777
0.862.259705541049380.0146476865266915
0.872.263981267443610.0152686140844136
0.882.268629412410870.0161199989406251
0.892.273741044920190.017080757211897
0.92.279421350025950.0180761737800786
0.912.285815323704710.0191695750646217
0.922.293132108396590.0205950555345575
0.932.301638966479610.0226168716771024
0.942.311599105017270.0251494775907572
0.952.323168924427610.0274354016459579
0.962.336329474346470.0282620076723775
0.972.350883164326380.0270510099933483
0.982.366253401421520.0254361227244028
0.992.380605896718010.0265699195717317


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')