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Description of Statistical Computation

Author's title

Maarten Verhaegen 2MAR03 - tweede zit - Oefening 4.2 - Percentielen evoluti...

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 16 Aug 2008 17:49:23 -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/Aug/17/t1218930695ptmmodsp58leo8o.htm/, Retrieved Tue, 14 May 2024 00:38:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14583, Retrieved Tue, 14 May 2024 00:38:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact245

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] [Maarten Verhaegen...] [2008-08-16 23:49:23] [6cae5450d413d5fde7d2ce6324b75128] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.6200
0.6200
0.6100
0.6100
0.6100
0.6000
0.5900
0.5900
0.5900
0.5900
0.5900
0.5700
0.5800
0.5700
0.5900
0.6200
0.6200
0.6100
0.6400
0.6500
0.6700
0.6700
0.6900
0.7400
0.7300
0.7400
0.7500
0.7400
0.7600
0.7600
0.7800
0.7900
0.8900
0.8800
0.8800
0.8400
0.7600
0.7700
0.7600
0.7700
0.7800
0.7900
0.7800
0.7600
0.7800
0.7600
0.7400
0.7300
0.7200
0.7100
0.7300
0.7500
0.7500
0.7200
0.7200
0.7200
0.7400
0.7800
0.7400
0.7400
0.7500
0.7800
0.8100
0.7500
0.7000
0.7100
0.7100
0.7300
0.7400
0.7400
0.7500
0.7400
0.7400
0.7300
0.7600
0.8000
0.8300
0.8100
0.8300
0.8800
0.8900
0.9300
0.9100
0.9000
0.8600
0.8800
0.9300
0.9800
0.9700
1.0300
1.0600
1.0600
1.0800
1.0900
1.0400
1.0000

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14583&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]1 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=14583&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14583&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.5717082048700320.00432257593796084
0.020.5756922880499160.00772466475809091
0.030.5805903017181780.00772645264691451
0.040.5848660014565020.00588237650782901
0.050.5879925054830680.00430315280619246
0.060.5903006718476130.00420515130932104
0.070.5923848553303650.00543510500597439
0.080.5946973194100380.0071444062345319
0.090.5974258709579340.00871446009258163
0.10.6005473057114150.0098531425232278
0.110.6039462469474960.0106037955730826
0.120.6075268814111580.0112749001325135
0.130.6112793443980820.0122845001871525
0.140.6152913394831810.0139610251137336
0.150.6197168647941540.0164095209046215
0.160.6247236728378660.0195030885619381
0.170.6304401635963410.0229457760207506
0.180.6369159270085030.0263532743365983
0.190.6441029285114020.0293240171362983
0.20.6518584340831660.0315134721563199
0.210.6599663201332350.0326902830046052
0.220.6681702788843450.0327689699781202
0.230.6762108914021180.0318084212023333
0.240.6838588963427140.0299833144711571
0.250.6909390273728550.0275448075783653
0.260.6973417689731210.0247687473901302
0.270.7030233415113370.0219157252131385
0.280.7079964366023220.0191957072746529
0.290.7123153518522880.0167543800984056
0.30.7160592636885730.0146665756996529
0.310.7193167071541690.0129437466935813
0.320.7221732702486660.0115527242270926
0.330.7247034020333250.0104300611722663
0.340.7269663256937920.00950150484787924
0.350.7290054559627150.00869986723984434
0.360.7308504363146230.00797173563453217
0.370.7325208465697470.00728241717860461
0.380.7340306791534280.00661942881624829
0.390.7353927693163690.005991657640010
0.40.7366224730692420.00542353661343176
0.410.7377400390650430.00495097106418597
0.420.7387713451028490.00461332386685822
0.430.7397469654444140.00444134040601199
0.440.7406998578636290.00444582602293124
0.450.7416622342230350.00461293619170839
0.460.7426623292869340.00490712417616992
0.470.74372176514120.00527976486924905
0.480.7448540303985460.00568306873541147
0.490.7460643115565710.00607667219742175
0.50.7473506130602540.00643031849242965
0.510.7487058619930260.00672799944940372
0.520.750120558295520.00696727474566246
0.530.7515855026757940.0071581868735496
0.540.753094179142060.00731965190055417
0.550.7546444480280970.00747803742137998
0.560.7562392996576040.0076622120174537
0.570.7578865403541110.00789704430695771
0.580.7595974593094720.00819788383436236
0.590.7613847676753950.00856587385897214
0.60.7632603721313840.008987210370107
0.610.7652337502380420.00943732474391125
0.620.7673117142540520.00989178745212558
0.630.7695000967178490.0103408295758693
0.640.7718073708854280.0107985439630039
0.650.774249558123580.0113105151975814
0.660.7768551900087080.0119522174623751
0.670.779668812733070.0128124515693907
0.680.7827516817821850.0139738092842393
0.690.7861788680140410.0154871800506816
0.70.7900327885968230.0173571497292085
0.710.7943939096269660.0195374816885519
0.720.7993298146074470.0219332339344362
0.730.8048839430172850.0244131976811303
0.740.8110652391834030.0268102381857199
0.750.8178399976977340.0289385057976319
0.760.8251275458542210.0306038076197689
0.770.8328019583576160.0316291130937079
0.780.8407022609878070.0318869578073154
0.790.8486528504722510.031342269910396
0.80.8564936713431090.0300883752635055
0.810.8641162931339980.0283697383642733
0.820.8714985685507550.0265678995267585
0.830.8787286973618680.0251579573361116
0.840.886010593551220.0246057877892461
0.850.8936465207601740.0252362841851186
0.860.9019985645822880.0271220228453204
0.870.9114353854372680.0300664934232528
0.880.9222730810317330.0336715376260613
0.890.9347185260384250.0374140138361862
0.90.9488211223283980.0407074686779515
0.910.9644359769456140.0429642819358518
0.920.9812007030187220.0436519838450901
0.930.998534550725380.0423492634921227
0.941.015688605133890.0388363936625785
0.951.031901307113610.033308105909715
0.961.046688887669040.0266971862310091
0.971.060119326541040.0207391822974945
0.981.072580851364750.0165860702571714
0.991.083506202507490.0128010224661825

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.571708204870032 & 0.00432257593796084 \tabularnewline
0.02 & 0.575692288049916 & 0.00772466475809091 \tabularnewline
0.03 & 0.580590301718178 & 0.00772645264691451 \tabularnewline
0.04 & 0.584866001456502 & 0.00588237650782901 \tabularnewline
0.05 & 0.587992505483068 & 0.00430315280619246 \tabularnewline
0.06 & 0.590300671847613 & 0.00420515130932104 \tabularnewline
0.07 & 0.592384855330365 & 0.00543510500597439 \tabularnewline
0.08 & 0.594697319410038 & 0.0071444062345319 \tabularnewline
0.09 & 0.597425870957934 & 0.00871446009258163 \tabularnewline
0.1 & 0.600547305711415 & 0.0098531425232278 \tabularnewline
0.11 & 0.603946246947496 & 0.0106037955730826 \tabularnewline
0.12 & 0.607526881411158 & 0.0112749001325135 \tabularnewline
0.13 & 0.611279344398082 & 0.0122845001871525 \tabularnewline
0.14 & 0.615291339483181 & 0.0139610251137336 \tabularnewline
0.15 & 0.619716864794154 & 0.0164095209046215 \tabularnewline
0.16 & 0.624723672837866 & 0.0195030885619381 \tabularnewline
0.17 & 0.630440163596341 & 0.0229457760207506 \tabularnewline
0.18 & 0.636915927008503 & 0.0263532743365983 \tabularnewline
0.19 & 0.644102928511402 & 0.0293240171362983 \tabularnewline
0.2 & 0.651858434083166 & 0.0315134721563199 \tabularnewline
0.21 & 0.659966320133235 & 0.0326902830046052 \tabularnewline
0.22 & 0.668170278884345 & 0.0327689699781202 \tabularnewline
0.23 & 0.676210891402118 & 0.0318084212023333 \tabularnewline
0.24 & 0.683858896342714 & 0.0299833144711571 \tabularnewline
0.25 & 0.690939027372855 & 0.0275448075783653 \tabularnewline
0.26 & 0.697341768973121 & 0.0247687473901302 \tabularnewline
0.27 & 0.703023341511337 & 0.0219157252131385 \tabularnewline
0.28 & 0.707996436602322 & 0.0191957072746529 \tabularnewline
0.29 & 0.712315351852288 & 0.0167543800984056 \tabularnewline
0.3 & 0.716059263688573 & 0.0146665756996529 \tabularnewline
0.31 & 0.719316707154169 & 0.0129437466935813 \tabularnewline
0.32 & 0.722173270248666 & 0.0115527242270926 \tabularnewline
0.33 & 0.724703402033325 & 0.0104300611722663 \tabularnewline
0.34 & 0.726966325693792 & 0.00950150484787924 \tabularnewline
0.35 & 0.729005455962715 & 0.00869986723984434 \tabularnewline
0.36 & 0.730850436314623 & 0.00797173563453217 \tabularnewline
0.37 & 0.732520846569747 & 0.00728241717860461 \tabularnewline
0.38 & 0.734030679153428 & 0.00661942881624829 \tabularnewline
0.39 & 0.735392769316369 & 0.005991657640010 \tabularnewline
0.4 & 0.736622473069242 & 0.00542353661343176 \tabularnewline
0.41 & 0.737740039065043 & 0.00495097106418597 \tabularnewline
0.42 & 0.738771345102849 & 0.00461332386685822 \tabularnewline
0.43 & 0.739746965444414 & 0.00444134040601199 \tabularnewline
0.44 & 0.740699857863629 & 0.00444582602293124 \tabularnewline
0.45 & 0.741662234223035 & 0.00461293619170839 \tabularnewline
0.46 & 0.742662329286934 & 0.00490712417616992 \tabularnewline
0.47 & 0.7437217651412 & 0.00527976486924905 \tabularnewline
0.48 & 0.744854030398546 & 0.00568306873541147 \tabularnewline
0.49 & 0.746064311556571 & 0.00607667219742175 \tabularnewline
0.5 & 0.747350613060254 & 0.00643031849242965 \tabularnewline
0.51 & 0.748705861993026 & 0.00672799944940372 \tabularnewline
0.52 & 0.75012055829552 & 0.00696727474566246 \tabularnewline
0.53 & 0.751585502675794 & 0.0071581868735496 \tabularnewline
0.54 & 0.75309417914206 & 0.00731965190055417 \tabularnewline
0.55 & 0.754644448028097 & 0.00747803742137998 \tabularnewline
0.56 & 0.756239299657604 & 0.0076622120174537 \tabularnewline
0.57 & 0.757886540354111 & 0.00789704430695771 \tabularnewline
0.58 & 0.759597459309472 & 0.00819788383436236 \tabularnewline
0.59 & 0.761384767675395 & 0.00856587385897214 \tabularnewline
0.6 & 0.763260372131384 & 0.008987210370107 \tabularnewline
0.61 & 0.765233750238042 & 0.00943732474391125 \tabularnewline
0.62 & 0.767311714254052 & 0.00989178745212558 \tabularnewline
0.63 & 0.769500096717849 & 0.0103408295758693 \tabularnewline
0.64 & 0.771807370885428 & 0.0107985439630039 \tabularnewline
0.65 & 0.77424955812358 & 0.0113105151975814 \tabularnewline
0.66 & 0.776855190008708 & 0.0119522174623751 \tabularnewline
0.67 & 0.77966881273307 & 0.0128124515693907 \tabularnewline
0.68 & 0.782751681782185 & 0.0139738092842393 \tabularnewline
0.69 & 0.786178868014041 & 0.0154871800506816 \tabularnewline
0.7 & 0.790032788596823 & 0.0173571497292085 \tabularnewline
0.71 & 0.794393909626966 & 0.0195374816885519 \tabularnewline
0.72 & 0.799329814607447 & 0.0219332339344362 \tabularnewline
0.73 & 0.804883943017285 & 0.0244131976811303 \tabularnewline
0.74 & 0.811065239183403 & 0.0268102381857199 \tabularnewline
0.75 & 0.817839997697734 & 0.0289385057976319 \tabularnewline
0.76 & 0.825127545854221 & 0.0306038076197689 \tabularnewline
0.77 & 0.832801958357616 & 0.0316291130937079 \tabularnewline
0.78 & 0.840702260987807 & 0.0318869578073154 \tabularnewline
0.79 & 0.848652850472251 & 0.031342269910396 \tabularnewline
0.8 & 0.856493671343109 & 0.0300883752635055 \tabularnewline
0.81 & 0.864116293133998 & 0.0283697383642733 \tabularnewline
0.82 & 0.871498568550755 & 0.0265678995267585 \tabularnewline
0.83 & 0.878728697361868 & 0.0251579573361116 \tabularnewline
0.84 & 0.88601059355122 & 0.0246057877892461 \tabularnewline
0.85 & 0.893646520760174 & 0.0252362841851186 \tabularnewline
0.86 & 0.901998564582288 & 0.0271220228453204 \tabularnewline
0.87 & 0.911435385437268 & 0.0300664934232528 \tabularnewline
0.88 & 0.922273081031733 & 0.0336715376260613 \tabularnewline
0.89 & 0.934718526038425 & 0.0374140138361862 \tabularnewline
0.9 & 0.948821122328398 & 0.0407074686779515 \tabularnewline
0.91 & 0.964435976945614 & 0.0429642819358518 \tabularnewline
0.92 & 0.981200703018722 & 0.0436519838450901 \tabularnewline
0.93 & 0.99853455072538 & 0.0423492634921227 \tabularnewline
0.94 & 1.01568860513389 & 0.0388363936625785 \tabularnewline
0.95 & 1.03190130711361 & 0.033308105909715 \tabularnewline
0.96 & 1.04668888766904 & 0.0266971862310091 \tabularnewline
0.97 & 1.06011932654104 & 0.0207391822974945 \tabularnewline
0.98 & 1.07258085136475 & 0.0165860702571714 \tabularnewline
0.99 & 1.08350620250749 & 0.0128010224661825 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14583&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]0.571708204870032[/C][C]0.00432257593796084[/C][/ROW]
[ROW][C]0.02[/C][C]0.575692288049916[/C][C]0.00772466475809091[/C][/ROW]
[ROW][C]0.03[/C][C]0.580590301718178[/C][C]0.00772645264691451[/C][/ROW]
[ROW][C]0.04[/C][C]0.584866001456502[/C][C]0.00588237650782901[/C][/ROW]
[ROW][C]0.05[/C][C]0.587992505483068[/C][C]0.00430315280619246[/C][/ROW]
[ROW][C]0.06[/C][C]0.590300671847613[/C][C]0.00420515130932104[/C][/ROW]
[ROW][C]0.07[/C][C]0.592384855330365[/C][C]0.00543510500597439[/C][/ROW]
[ROW][C]0.08[/C][C]0.594697319410038[/C][C]0.0071444062345319[/C][/ROW]
[ROW][C]0.09[/C][C]0.597425870957934[/C][C]0.00871446009258163[/C][/ROW]
[ROW][C]0.1[/C][C]0.600547305711415[/C][C]0.0098531425232278[/C][/ROW]
[ROW][C]0.11[/C][C]0.603946246947496[/C][C]0.0106037955730826[/C][/ROW]
[ROW][C]0.12[/C][C]0.607526881411158[/C][C]0.0112749001325135[/C][/ROW]
[ROW][C]0.13[/C][C]0.611279344398082[/C][C]0.0122845001871525[/C][/ROW]
[ROW][C]0.14[/C][C]0.615291339483181[/C][C]0.0139610251137336[/C][/ROW]
[ROW][C]0.15[/C][C]0.619716864794154[/C][C]0.0164095209046215[/C][/ROW]
[ROW][C]0.16[/C][C]0.624723672837866[/C][C]0.0195030885619381[/C][/ROW]
[ROW][C]0.17[/C][C]0.630440163596341[/C][C]0.0229457760207506[/C][/ROW]
[ROW][C]0.18[/C][C]0.636915927008503[/C][C]0.0263532743365983[/C][/ROW]
[ROW][C]0.19[/C][C]0.644102928511402[/C][C]0.0293240171362983[/C][/ROW]
[ROW][C]0.2[/C][C]0.651858434083166[/C][C]0.0315134721563199[/C][/ROW]
[ROW][C]0.21[/C][C]0.659966320133235[/C][C]0.0326902830046052[/C][/ROW]
[ROW][C]0.22[/C][C]0.668170278884345[/C][C]0.0327689699781202[/C][/ROW]
[ROW][C]0.23[/C][C]0.676210891402118[/C][C]0.0318084212023333[/C][/ROW]
[ROW][C]0.24[/C][C]0.683858896342714[/C][C]0.0299833144711571[/C][/ROW]
[ROW][C]0.25[/C][C]0.690939027372855[/C][C]0.0275448075783653[/C][/ROW]
[ROW][C]0.26[/C][C]0.697341768973121[/C][C]0.0247687473901302[/C][/ROW]
[ROW][C]0.27[/C][C]0.703023341511337[/C][C]0.0219157252131385[/C][/ROW]
[ROW][C]0.28[/C][C]0.707996436602322[/C][C]0.0191957072746529[/C][/ROW]
[ROW][C]0.29[/C][C]0.712315351852288[/C][C]0.0167543800984056[/C][/ROW]
[ROW][C]0.3[/C][C]0.716059263688573[/C][C]0.0146665756996529[/C][/ROW]
[ROW][C]0.31[/C][C]0.719316707154169[/C][C]0.0129437466935813[/C][/ROW]
[ROW][C]0.32[/C][C]0.722173270248666[/C][C]0.0115527242270926[/C][/ROW]
[ROW][C]0.33[/C][C]0.724703402033325[/C][C]0.0104300611722663[/C][/ROW]
[ROW][C]0.34[/C][C]0.726966325693792[/C][C]0.00950150484787924[/C][/ROW]
[ROW][C]0.35[/C][C]0.729005455962715[/C][C]0.00869986723984434[/C][/ROW]
[ROW][C]0.36[/C][C]0.730850436314623[/C][C]0.00797173563453217[/C][/ROW]
[ROW][C]0.37[/C][C]0.732520846569747[/C][C]0.00728241717860461[/C][/ROW]
[ROW][C]0.38[/C][C]0.734030679153428[/C][C]0.00661942881624829[/C][/ROW]
[ROW][C]0.39[/C][C]0.735392769316369[/C][C]0.005991657640010[/C][/ROW]
[ROW][C]0.4[/C][C]0.736622473069242[/C][C]0.00542353661343176[/C][/ROW]
[ROW][C]0.41[/C][C]0.737740039065043[/C][C]0.00495097106418597[/C][/ROW]
[ROW][C]0.42[/C][C]0.738771345102849[/C][C]0.00461332386685822[/C][/ROW]
[ROW][C]0.43[/C][C]0.739746965444414[/C][C]0.00444134040601199[/C][/ROW]
[ROW][C]0.44[/C][C]0.740699857863629[/C][C]0.00444582602293124[/C][/ROW]
[ROW][C]0.45[/C][C]0.741662234223035[/C][C]0.00461293619170839[/C][/ROW]
[ROW][C]0.46[/C][C]0.742662329286934[/C][C]0.00490712417616992[/C][/ROW]
[ROW][C]0.47[/C][C]0.7437217651412[/C][C]0.00527976486924905[/C][/ROW]
[ROW][C]0.48[/C][C]0.744854030398546[/C][C]0.00568306873541147[/C][/ROW]
[ROW][C]0.49[/C][C]0.746064311556571[/C][C]0.00607667219742175[/C][/ROW]
[ROW][C]0.5[/C][C]0.747350613060254[/C][C]0.00643031849242965[/C][/ROW]
[ROW][C]0.51[/C][C]0.748705861993026[/C][C]0.00672799944940372[/C][/ROW]
[ROW][C]0.52[/C][C]0.75012055829552[/C][C]0.00696727474566246[/C][/ROW]
[ROW][C]0.53[/C][C]0.751585502675794[/C][C]0.0071581868735496[/C][/ROW]
[ROW][C]0.54[/C][C]0.75309417914206[/C][C]0.00731965190055417[/C][/ROW]
[ROW][C]0.55[/C][C]0.754644448028097[/C][C]0.00747803742137998[/C][/ROW]
[ROW][C]0.56[/C][C]0.756239299657604[/C][C]0.0076622120174537[/C][/ROW]
[ROW][C]0.57[/C][C]0.757886540354111[/C][C]0.00789704430695771[/C][/ROW]
[ROW][C]0.58[/C][C]0.759597459309472[/C][C]0.00819788383436236[/C][/ROW]
[ROW][C]0.59[/C][C]0.761384767675395[/C][C]0.00856587385897214[/C][/ROW]
[ROW][C]0.6[/C][C]0.763260372131384[/C][C]0.008987210370107[/C][/ROW]
[ROW][C]0.61[/C][C]0.765233750238042[/C][C]0.00943732474391125[/C][/ROW]
[ROW][C]0.62[/C][C]0.767311714254052[/C][C]0.00989178745212558[/C][/ROW]
[ROW][C]0.63[/C][C]0.769500096717849[/C][C]0.0103408295758693[/C][/ROW]
[ROW][C]0.64[/C][C]0.771807370885428[/C][C]0.0107985439630039[/C][/ROW]
[ROW][C]0.65[/C][C]0.77424955812358[/C][C]0.0113105151975814[/C][/ROW]
[ROW][C]0.66[/C][C]0.776855190008708[/C][C]0.0119522174623751[/C][/ROW]
[ROW][C]0.67[/C][C]0.77966881273307[/C][C]0.0128124515693907[/C][/ROW]
[ROW][C]0.68[/C][C]0.782751681782185[/C][C]0.0139738092842393[/C][/ROW]
[ROW][C]0.69[/C][C]0.786178868014041[/C][C]0.0154871800506816[/C][/ROW]
[ROW][C]0.7[/C][C]0.790032788596823[/C][C]0.0173571497292085[/C][/ROW]
[ROW][C]0.71[/C][C]0.794393909626966[/C][C]0.0195374816885519[/C][/ROW]
[ROW][C]0.72[/C][C]0.799329814607447[/C][C]0.0219332339344362[/C][/ROW]
[ROW][C]0.73[/C][C]0.804883943017285[/C][C]0.0244131976811303[/C][/ROW]
[ROW][C]0.74[/C][C]0.811065239183403[/C][C]0.0268102381857199[/C][/ROW]
[ROW][C]0.75[/C][C]0.817839997697734[/C][C]0.0289385057976319[/C][/ROW]
[ROW][C]0.76[/C][C]0.825127545854221[/C][C]0.0306038076197689[/C][/ROW]
[ROW][C]0.77[/C][C]0.832801958357616[/C][C]0.0316291130937079[/C][/ROW]
[ROW][C]0.78[/C][C]0.840702260987807[/C][C]0.0318869578073154[/C][/ROW]
[ROW][C]0.79[/C][C]0.848652850472251[/C][C]0.031342269910396[/C][/ROW]
[ROW][C]0.8[/C][C]0.856493671343109[/C][C]0.0300883752635055[/C][/ROW]
[ROW][C]0.81[/C][C]0.864116293133998[/C][C]0.0283697383642733[/C][/ROW]
[ROW][C]0.82[/C][C]0.871498568550755[/C][C]0.0265678995267585[/C][/ROW]
[ROW][C]0.83[/C][C]0.878728697361868[/C][C]0.0251579573361116[/C][/ROW]
[ROW][C]0.84[/C][C]0.88601059355122[/C][C]0.0246057877892461[/C][/ROW]
[ROW][C]0.85[/C][C]0.893646520760174[/C][C]0.0252362841851186[/C][/ROW]
[ROW][C]0.86[/C][C]0.901998564582288[/C][C]0.0271220228453204[/C][/ROW]
[ROW][C]0.87[/C][C]0.911435385437268[/C][C]0.0300664934232528[/C][/ROW]
[ROW][C]0.88[/C][C]0.922273081031733[/C][C]0.0336715376260613[/C][/ROW]
[ROW][C]0.89[/C][C]0.934718526038425[/C][C]0.0374140138361862[/C][/ROW]
[ROW][C]0.9[/C][C]0.948821122328398[/C][C]0.0407074686779515[/C][/ROW]
[ROW][C]0.91[/C][C]0.964435976945614[/C][C]0.0429642819358518[/C][/ROW]
[ROW][C]0.92[/C][C]0.981200703018722[/C][C]0.0436519838450901[/C][/ROW]
[ROW][C]0.93[/C][C]0.99853455072538[/C][C]0.0423492634921227[/C][/ROW]
[ROW][C]0.94[/C][C]1.01568860513389[/C][C]0.0388363936625785[/C][/ROW]
[ROW][C]0.95[/C][C]1.03190130711361[/C][C]0.033308105909715[/C][/ROW]
[ROW][C]0.96[/C][C]1.04668888766904[/C][C]0.0266971862310091[/C][/ROW]
[ROW][C]0.97[/C][C]1.06011932654104[/C][C]0.0207391822974945[/C][/ROW]
[ROW][C]0.98[/C][C]1.07258085136475[/C][C]0.0165860702571714[/C][/ROW]
[ROW][C]0.99[/C][C]1.08350620250749[/C][C]0.0128010224661825[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14583&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14583&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
0.010.5717082048700320.00432257593796084
0.020.5756922880499160.00772466475809091
0.030.5805903017181780.00772645264691451
0.040.5848660014565020.00588237650782901
0.050.5879925054830680.00430315280619246
0.060.5903006718476130.00420515130932104
0.070.5923848553303650.00543510500597439
0.080.5946973194100380.0071444062345319
0.090.5974258709579340.00871446009258163
0.10.6005473057114150.0098531425232278
0.110.6039462469474960.0106037955730826
0.120.6075268814111580.0112749001325135
0.130.6112793443980820.0122845001871525
0.140.6152913394831810.0139610251137336
0.150.6197168647941540.0164095209046215
0.160.6247236728378660.0195030885619381
0.170.6304401635963410.0229457760207506
0.180.6369159270085030.0263532743365983
0.190.6441029285114020.0293240171362983
0.20.6518584340831660.0315134721563199
0.210.6599663201332350.0326902830046052
0.220.6681702788843450.0327689699781202
0.230.6762108914021180.0318084212023333
0.240.6838588963427140.0299833144711571
0.250.6909390273728550.0275448075783653
0.260.6973417689731210.0247687473901302
0.270.7030233415113370.0219157252131385
0.280.7079964366023220.0191957072746529
0.290.7123153518522880.0167543800984056
0.30.7160592636885730.0146665756996529
0.310.7193167071541690.0129437466935813
0.320.7221732702486660.0115527242270926
0.330.7247034020333250.0104300611722663
0.340.7269663256937920.00950150484787924
0.350.7290054559627150.00869986723984434
0.360.7308504363146230.00797173563453217
0.370.7325208465697470.00728241717860461
0.380.7340306791534280.00661942881624829
0.390.7353927693163690.005991657640010
0.40.7366224730692420.00542353661343176
0.410.7377400390650430.00495097106418597
0.420.7387713451028490.00461332386685822
0.430.7397469654444140.00444134040601199
0.440.7406998578636290.00444582602293124
0.450.7416622342230350.00461293619170839
0.460.7426623292869340.00490712417616992
0.470.74372176514120.00527976486924905
0.480.7448540303985460.00568306873541147
0.490.7460643115565710.00607667219742175
0.50.7473506130602540.00643031849242965
0.510.7487058619930260.00672799944940372
0.520.750120558295520.00696727474566246
0.530.7515855026757940.0071581868735496
0.540.753094179142060.00731965190055417
0.550.7546444480280970.00747803742137998
0.560.7562392996576040.0076622120174537
0.570.7578865403541110.00789704430695771
0.580.7595974593094720.00819788383436236
0.590.7613847676753950.00856587385897214
0.60.7632603721313840.008987210370107
0.610.7652337502380420.00943732474391125
0.620.7673117142540520.00989178745212558
0.630.7695000967178490.0103408295758693
0.640.7718073708854280.0107985439630039
0.650.774249558123580.0113105151975814
0.660.7768551900087080.0119522174623751
0.670.779668812733070.0128124515693907
0.680.7827516817821850.0139738092842393
0.690.7861788680140410.0154871800506816
0.70.7900327885968230.0173571497292085
0.710.7943939096269660.0195374816885519
0.720.7993298146074470.0219332339344362
0.730.8048839430172850.0244131976811303
0.740.8110652391834030.0268102381857199
0.750.8178399976977340.0289385057976319
0.760.8251275458542210.0306038076197689
0.770.8328019583576160.0316291130937079
0.780.8407022609878070.0318869578073154
0.790.8486528504722510.031342269910396
0.80.8564936713431090.0300883752635055
0.810.8641162931339980.0283697383642733
0.820.8714985685507550.0265678995267585
0.830.8787286973618680.0251579573361116
0.840.886010593551220.0246057877892461
0.850.8936465207601740.0252362841851186
0.860.9019985645822880.0271220228453204
0.870.9114353854372680.0300664934232528
0.880.9222730810317330.0336715376260613
0.890.9347185260384250.0374140138361862
0.90.9488211223283980.0407074686779515
0.910.9644359769456140.0429642819358518
0.920.9812007030187220.0436519838450901
0.930.998534550725380.0423492634921227
0.941.015688605133890.0388363936625785
0.951.031901307113610.033308105909715
0.961.046688887669040.0266971862310091
0.971.060119326541040.0207391822974945
0.981.072580851364750.0165860702571714
0.991.083506202507490.0128010224661825


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')