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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 computationThu, 03 Oct 2013 05:26:43 -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/2013/Oct/03/t1380792435pia8cakmcyck0k8.htm/, Retrieved Thu, 02 May 2024 13:08:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212813, Retrieved Thu, 02 May 2024 13:08:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133

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] [Percentielen siga...] [2013-10-03 09:26:43] [c68c3aee6924c33b46e27daebbe261d3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4.69
4.69
4.69
4.69
4.69
4.69
4.69
4.73
4.78
4.79
4.79
4.8
4.8
4.81
5.16
5.26
5.29
5.29
5.29
5.3
5.3
5.3
5.3
5.3
5.3
5.3
5.3
5.35
5.44
5.47
5.47
5.48
5.48
5.48
5.48
5.48
5.48
5.48
5.5
5.55
5.57
5.58
5.58
5.58
5.59
5.59
5.59
5.55
5.61
5.61
5.61
5.63
5.69
5.7
5.7
5.7
5.7
5.7
5.7
5.7
5.7
5.7
5.7
5.71
5.74
5.77
5.79
5.79
5.8
5.8
5.8
5.8
5.8
5.81
5.81
5.83
5.94
5.98
5.99
6
6.02
6.02
6.02
6.02

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212813&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212813&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212813&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 time4 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.690025105882970.000120411973678058
0.024.690199808913130.000801318029834495
0.034.69086204950530.00288236409385221
0.044.69262941761620.00730139991872437
0.054.696321077865710.014487415674168
0.064.702734478238310.0239729617348904
0.074.712407386945360.0346690817591196
0.084.725535326365630.0456954352118623
0.094.742114086202140.0572381826282663
0.14.762214186409740.0707761679127819
0.114.786194858665370.0881345821167636
0.124.814696723800060.110051582951
0.134.848383937181180.135236158318233
0.144.887548718920040.160564883186012
0.154.931763494663970.18203316073995
0.164.979740411342340.195893367612232
0.175.029461586860780.199710099454246
0.185.078531462055230.192940557566672
0.195.124626173583330.176961391328307
0.25.165898668556730.154538985846745
0.215.201236054163990.129093461017906
0.225.230330555390970.103910443488006
0.235.253586780329880.0816419078965455
0.245.271925140226340.0640763304981674
0.255.286549085728730.0521932099162334
0.265.298729724621720.0462121238818437
0.275.309638125131160.0454741992669119
0.285.320234322813190.0485395930765762
0.295.331208564998530.0537554224213807
0.35.342965046783510.0596699036007909
0.315.355638427657340.0651223422907143
0.325.369135189376070.0692304844624424
0.335.383192951431090.0714260744510972
0.345.397450485679720.0714693721285014
0.355.411520025632050.0694644240054288
0.365.425052761444670.065775791276992
0.375.437789130934540.0609951599207992
0.385.449587960528040.0558176937143182
0.395.460432251035810.0509256828920957
0.45.470413543337380.0468656658316004
0.415.479700347200930.0440087719769018
0.425.488498317994420.0424390519733829
0.435.497010383769530.0419942154533624
0.445.505403953692830.0423099040285896
0.455.513790097602770.0429582632514172
0.465.522216760842290.043558243813279
0.475.530675266293370.0438193397382727
0.485.539117052690080.0435931924833962
0.495.547476131562310.0428713262167822
0.55.555692247503780.0417783914232772
0.515.563730147821850.0405254684578223
0.525.571591514143350.0393770043241349
0.535.579317700913370.0385849969761199
0.545.586983163254120.0383412573275541
0.555.594681070847350.0387284947773407
0.565.602503889437870.0396801836718119
0.575.610522528659570.0409980195926913
0.585.618767922034640.0424021474089368
0.595.627218586779040.0435472088036089
0.65.635796823837490.044126042970158
0.615.644374850854820.0438818965210379
0.625.652790493561260.0426694660871167
0.635.660870365028590.040477916584246
0.645.668457055372490.0374468547514869
0.655.675436023333910.0338440344302503
0.665.681757794075580.0300271440153096
0.675.687451719444690.0264308566772256
0.685.692628777987120.023506166388525
0.695.6974724213780.0216712184272142
0.75.702218065045020.0212326960140744
0.715.707123320607070.0222550859620535
0.725.712432422887820.0245199762662481
0.735.71833948585610.0276000681869712
0.745.724956116230710.0309688532229174
0.755.73228926011950.0340780152490671
0.765.74023460599280.036410037553265
0.775.748589158442470.0375610219036014
0.785.757083794559710.0373131318936848
0.795.765433226428160.035677554073295
0.85.773397649815090.0329259445524801
0.815.780848210408970.0295761973968545
0.825.787827403462240.026379932730765
0.835.794594865052040.0242912375124534
0.845.801647393628630.0244230162177102
0.855.809698895745780.0277017545910757
0.865.819603342415690.0343516582287329
0.875.832207507943460.0437856033033
0.885.848137780534670.054670802097242
0.895.867559651810720.0649843000959787
0.95.889989248170320.072336640188203
0.915.914256201517810.0745951884627092
0.925.938684005857290.0707192679213123
0.935.961460040695370.0612832752767356
0.945.981057628458990.0483343479145415
0.955.996533116459760.034504975098555
0.966.00760691047420.0219543070759005
0.976.014586885221150.0119034964817063
0.986.018248618984220.00492813622453638
0.996.019679898847920.00117700664966698

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.69002510588297 & 0.000120411973678058 \tabularnewline
0.02 & 4.69019980891313 & 0.000801318029834495 \tabularnewline
0.03 & 4.6908620495053 & 0.00288236409385221 \tabularnewline
0.04 & 4.6926294176162 & 0.00730139991872437 \tabularnewline
0.05 & 4.69632107786571 & 0.014487415674168 \tabularnewline
0.06 & 4.70273447823831 & 0.0239729617348904 \tabularnewline
0.07 & 4.71240738694536 & 0.0346690817591196 \tabularnewline
0.08 & 4.72553532636563 & 0.0456954352118623 \tabularnewline
0.09 & 4.74211408620214 & 0.0572381826282663 \tabularnewline
0.1 & 4.76221418640974 & 0.0707761679127819 \tabularnewline
0.11 & 4.78619485866537 & 0.0881345821167636 \tabularnewline
0.12 & 4.81469672380006 & 0.110051582951 \tabularnewline
0.13 & 4.84838393718118 & 0.135236158318233 \tabularnewline
0.14 & 4.88754871892004 & 0.160564883186012 \tabularnewline
0.15 & 4.93176349466397 & 0.18203316073995 \tabularnewline
0.16 & 4.97974041134234 & 0.195893367612232 \tabularnewline
0.17 & 5.02946158686078 & 0.199710099454246 \tabularnewline
0.18 & 5.07853146205523 & 0.192940557566672 \tabularnewline
0.19 & 5.12462617358333 & 0.176961391328307 \tabularnewline
0.2 & 5.16589866855673 & 0.154538985846745 \tabularnewline
0.21 & 5.20123605416399 & 0.129093461017906 \tabularnewline
0.22 & 5.23033055539097 & 0.103910443488006 \tabularnewline
0.23 & 5.25358678032988 & 0.0816419078965455 \tabularnewline
0.24 & 5.27192514022634 & 0.0640763304981674 \tabularnewline
0.25 & 5.28654908572873 & 0.0521932099162334 \tabularnewline
0.26 & 5.29872972462172 & 0.0462121238818437 \tabularnewline
0.27 & 5.30963812513116 & 0.0454741992669119 \tabularnewline
0.28 & 5.32023432281319 & 0.0485395930765762 \tabularnewline
0.29 & 5.33120856499853 & 0.0537554224213807 \tabularnewline
0.3 & 5.34296504678351 & 0.0596699036007909 \tabularnewline
0.31 & 5.35563842765734 & 0.0651223422907143 \tabularnewline
0.32 & 5.36913518937607 & 0.0692304844624424 \tabularnewline
0.33 & 5.38319295143109 & 0.0714260744510972 \tabularnewline
0.34 & 5.39745048567972 & 0.0714693721285014 \tabularnewline
0.35 & 5.41152002563205 & 0.0694644240054288 \tabularnewline
0.36 & 5.42505276144467 & 0.065775791276992 \tabularnewline
0.37 & 5.43778913093454 & 0.0609951599207992 \tabularnewline
0.38 & 5.44958796052804 & 0.0558176937143182 \tabularnewline
0.39 & 5.46043225103581 & 0.0509256828920957 \tabularnewline
0.4 & 5.47041354333738 & 0.0468656658316004 \tabularnewline
0.41 & 5.47970034720093 & 0.0440087719769018 \tabularnewline
0.42 & 5.48849831799442 & 0.0424390519733829 \tabularnewline
0.43 & 5.49701038376953 & 0.0419942154533624 \tabularnewline
0.44 & 5.50540395369283 & 0.0423099040285896 \tabularnewline
0.45 & 5.51379009760277 & 0.0429582632514172 \tabularnewline
0.46 & 5.52221676084229 & 0.043558243813279 \tabularnewline
0.47 & 5.53067526629337 & 0.0438193397382727 \tabularnewline
0.48 & 5.53911705269008 & 0.0435931924833962 \tabularnewline
0.49 & 5.54747613156231 & 0.0428713262167822 \tabularnewline
0.5 & 5.55569224750378 & 0.0417783914232772 \tabularnewline
0.51 & 5.56373014782185 & 0.0405254684578223 \tabularnewline
0.52 & 5.57159151414335 & 0.0393770043241349 \tabularnewline
0.53 & 5.57931770091337 & 0.0385849969761199 \tabularnewline
0.54 & 5.58698316325412 & 0.0383412573275541 \tabularnewline
0.55 & 5.59468107084735 & 0.0387284947773407 \tabularnewline
0.56 & 5.60250388943787 & 0.0396801836718119 \tabularnewline
0.57 & 5.61052252865957 & 0.0409980195926913 \tabularnewline
0.58 & 5.61876792203464 & 0.0424021474089368 \tabularnewline
0.59 & 5.62721858677904 & 0.0435472088036089 \tabularnewline
0.6 & 5.63579682383749 & 0.044126042970158 \tabularnewline
0.61 & 5.64437485085482 & 0.0438818965210379 \tabularnewline
0.62 & 5.65279049356126 & 0.0426694660871167 \tabularnewline
0.63 & 5.66087036502859 & 0.040477916584246 \tabularnewline
0.64 & 5.66845705537249 & 0.0374468547514869 \tabularnewline
0.65 & 5.67543602333391 & 0.0338440344302503 \tabularnewline
0.66 & 5.68175779407558 & 0.0300271440153096 \tabularnewline
0.67 & 5.68745171944469 & 0.0264308566772256 \tabularnewline
0.68 & 5.69262877798712 & 0.023506166388525 \tabularnewline
0.69 & 5.697472421378 & 0.0216712184272142 \tabularnewline
0.7 & 5.70221806504502 & 0.0212326960140744 \tabularnewline
0.71 & 5.70712332060707 & 0.0222550859620535 \tabularnewline
0.72 & 5.71243242288782 & 0.0245199762662481 \tabularnewline
0.73 & 5.7183394858561 & 0.0276000681869712 \tabularnewline
0.74 & 5.72495611623071 & 0.0309688532229174 \tabularnewline
0.75 & 5.7322892601195 & 0.0340780152490671 \tabularnewline
0.76 & 5.7402346059928 & 0.036410037553265 \tabularnewline
0.77 & 5.74858915844247 & 0.0375610219036014 \tabularnewline
0.78 & 5.75708379455971 & 0.0373131318936848 \tabularnewline
0.79 & 5.76543322642816 & 0.035677554073295 \tabularnewline
0.8 & 5.77339764981509 & 0.0329259445524801 \tabularnewline
0.81 & 5.78084821040897 & 0.0295761973968545 \tabularnewline
0.82 & 5.78782740346224 & 0.026379932730765 \tabularnewline
0.83 & 5.79459486505204 & 0.0242912375124534 \tabularnewline
0.84 & 5.80164739362863 & 0.0244230162177102 \tabularnewline
0.85 & 5.80969889574578 & 0.0277017545910757 \tabularnewline
0.86 & 5.81960334241569 & 0.0343516582287329 \tabularnewline
0.87 & 5.83220750794346 & 0.0437856033033 \tabularnewline
0.88 & 5.84813778053467 & 0.054670802097242 \tabularnewline
0.89 & 5.86755965181072 & 0.0649843000959787 \tabularnewline
0.9 & 5.88998924817032 & 0.072336640188203 \tabularnewline
0.91 & 5.91425620151781 & 0.0745951884627092 \tabularnewline
0.92 & 5.93868400585729 & 0.0707192679213123 \tabularnewline
0.93 & 5.96146004069537 & 0.0612832752767356 \tabularnewline
0.94 & 5.98105762845899 & 0.0483343479145415 \tabularnewline
0.95 & 5.99653311645976 & 0.034504975098555 \tabularnewline
0.96 & 6.0076069104742 & 0.0219543070759005 \tabularnewline
0.97 & 6.01458688522115 & 0.0119034964817063 \tabularnewline
0.98 & 6.01824861898422 & 0.00492813622453638 \tabularnewline
0.99 & 6.01967989884792 & 0.00117700664966698 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212813&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]4.69002510588297[/C][C]0.000120411973678058[/C][/ROW]
[ROW][C]0.02[/C][C]4.69019980891313[/C][C]0.000801318029834495[/C][/ROW]
[ROW][C]0.03[/C][C]4.6908620495053[/C][C]0.00288236409385221[/C][/ROW]
[ROW][C]0.04[/C][C]4.6926294176162[/C][C]0.00730139991872437[/C][/ROW]
[ROW][C]0.05[/C][C]4.69632107786571[/C][C]0.014487415674168[/C][/ROW]
[ROW][C]0.06[/C][C]4.70273447823831[/C][C]0.0239729617348904[/C][/ROW]
[ROW][C]0.07[/C][C]4.71240738694536[/C][C]0.0346690817591196[/C][/ROW]
[ROW][C]0.08[/C][C]4.72553532636563[/C][C]0.0456954352118623[/C][/ROW]
[ROW][C]0.09[/C][C]4.74211408620214[/C][C]0.0572381826282663[/C][/ROW]
[ROW][C]0.1[/C][C]4.76221418640974[/C][C]0.0707761679127819[/C][/ROW]
[ROW][C]0.11[/C][C]4.78619485866537[/C][C]0.0881345821167636[/C][/ROW]
[ROW][C]0.12[/C][C]4.81469672380006[/C][C]0.110051582951[/C][/ROW]
[ROW][C]0.13[/C][C]4.84838393718118[/C][C]0.135236158318233[/C][/ROW]
[ROW][C]0.14[/C][C]4.88754871892004[/C][C]0.160564883186012[/C][/ROW]
[ROW][C]0.15[/C][C]4.93176349466397[/C][C]0.18203316073995[/C][/ROW]
[ROW][C]0.16[/C][C]4.97974041134234[/C][C]0.195893367612232[/C][/ROW]
[ROW][C]0.17[/C][C]5.02946158686078[/C][C]0.199710099454246[/C][/ROW]
[ROW][C]0.18[/C][C]5.07853146205523[/C][C]0.192940557566672[/C][/ROW]
[ROW][C]0.19[/C][C]5.12462617358333[/C][C]0.176961391328307[/C][/ROW]
[ROW][C]0.2[/C][C]5.16589866855673[/C][C]0.154538985846745[/C][/ROW]
[ROW][C]0.21[/C][C]5.20123605416399[/C][C]0.129093461017906[/C][/ROW]
[ROW][C]0.22[/C][C]5.23033055539097[/C][C]0.103910443488006[/C][/ROW]
[ROW][C]0.23[/C][C]5.25358678032988[/C][C]0.0816419078965455[/C][/ROW]
[ROW][C]0.24[/C][C]5.27192514022634[/C][C]0.0640763304981674[/C][/ROW]
[ROW][C]0.25[/C][C]5.28654908572873[/C][C]0.0521932099162334[/C][/ROW]
[ROW][C]0.26[/C][C]5.29872972462172[/C][C]0.0462121238818437[/C][/ROW]
[ROW][C]0.27[/C][C]5.30963812513116[/C][C]0.0454741992669119[/C][/ROW]
[ROW][C]0.28[/C][C]5.32023432281319[/C][C]0.0485395930765762[/C][/ROW]
[ROW][C]0.29[/C][C]5.33120856499853[/C][C]0.0537554224213807[/C][/ROW]
[ROW][C]0.3[/C][C]5.34296504678351[/C][C]0.0596699036007909[/C][/ROW]
[ROW][C]0.31[/C][C]5.35563842765734[/C][C]0.0651223422907143[/C][/ROW]
[ROW][C]0.32[/C][C]5.36913518937607[/C][C]0.0692304844624424[/C][/ROW]
[ROW][C]0.33[/C][C]5.38319295143109[/C][C]0.0714260744510972[/C][/ROW]
[ROW][C]0.34[/C][C]5.39745048567972[/C][C]0.0714693721285014[/C][/ROW]
[ROW][C]0.35[/C][C]5.41152002563205[/C][C]0.0694644240054288[/C][/ROW]
[ROW][C]0.36[/C][C]5.42505276144467[/C][C]0.065775791276992[/C][/ROW]
[ROW][C]0.37[/C][C]5.43778913093454[/C][C]0.0609951599207992[/C][/ROW]
[ROW][C]0.38[/C][C]5.44958796052804[/C][C]0.0558176937143182[/C][/ROW]
[ROW][C]0.39[/C][C]5.46043225103581[/C][C]0.0509256828920957[/C][/ROW]
[ROW][C]0.4[/C][C]5.47041354333738[/C][C]0.0468656658316004[/C][/ROW]
[ROW][C]0.41[/C][C]5.47970034720093[/C][C]0.0440087719769018[/C][/ROW]
[ROW][C]0.42[/C][C]5.48849831799442[/C][C]0.0424390519733829[/C][/ROW]
[ROW][C]0.43[/C][C]5.49701038376953[/C][C]0.0419942154533624[/C][/ROW]
[ROW][C]0.44[/C][C]5.50540395369283[/C][C]0.0423099040285896[/C][/ROW]
[ROW][C]0.45[/C][C]5.51379009760277[/C][C]0.0429582632514172[/C][/ROW]
[ROW][C]0.46[/C][C]5.52221676084229[/C][C]0.043558243813279[/C][/ROW]
[ROW][C]0.47[/C][C]5.53067526629337[/C][C]0.0438193397382727[/C][/ROW]
[ROW][C]0.48[/C][C]5.53911705269008[/C][C]0.0435931924833962[/C][/ROW]
[ROW][C]0.49[/C][C]5.54747613156231[/C][C]0.0428713262167822[/C][/ROW]
[ROW][C]0.5[/C][C]5.55569224750378[/C][C]0.0417783914232772[/C][/ROW]
[ROW][C]0.51[/C][C]5.56373014782185[/C][C]0.0405254684578223[/C][/ROW]
[ROW][C]0.52[/C][C]5.57159151414335[/C][C]0.0393770043241349[/C][/ROW]
[ROW][C]0.53[/C][C]5.57931770091337[/C][C]0.0385849969761199[/C][/ROW]
[ROW][C]0.54[/C][C]5.58698316325412[/C][C]0.0383412573275541[/C][/ROW]
[ROW][C]0.55[/C][C]5.59468107084735[/C][C]0.0387284947773407[/C][/ROW]
[ROW][C]0.56[/C][C]5.60250388943787[/C][C]0.0396801836718119[/C][/ROW]
[ROW][C]0.57[/C][C]5.61052252865957[/C][C]0.0409980195926913[/C][/ROW]
[ROW][C]0.58[/C][C]5.61876792203464[/C][C]0.0424021474089368[/C][/ROW]
[ROW][C]0.59[/C][C]5.62721858677904[/C][C]0.0435472088036089[/C][/ROW]
[ROW][C]0.6[/C][C]5.63579682383749[/C][C]0.044126042970158[/C][/ROW]
[ROW][C]0.61[/C][C]5.64437485085482[/C][C]0.0438818965210379[/C][/ROW]
[ROW][C]0.62[/C][C]5.65279049356126[/C][C]0.0426694660871167[/C][/ROW]
[ROW][C]0.63[/C][C]5.66087036502859[/C][C]0.040477916584246[/C][/ROW]
[ROW][C]0.64[/C][C]5.66845705537249[/C][C]0.0374468547514869[/C][/ROW]
[ROW][C]0.65[/C][C]5.67543602333391[/C][C]0.0338440344302503[/C][/ROW]
[ROW][C]0.66[/C][C]5.68175779407558[/C][C]0.0300271440153096[/C][/ROW]
[ROW][C]0.67[/C][C]5.68745171944469[/C][C]0.0264308566772256[/C][/ROW]
[ROW][C]0.68[/C][C]5.69262877798712[/C][C]0.023506166388525[/C][/ROW]
[ROW][C]0.69[/C][C]5.697472421378[/C][C]0.0216712184272142[/C][/ROW]
[ROW][C]0.7[/C][C]5.70221806504502[/C][C]0.0212326960140744[/C][/ROW]
[ROW][C]0.71[/C][C]5.70712332060707[/C][C]0.0222550859620535[/C][/ROW]
[ROW][C]0.72[/C][C]5.71243242288782[/C][C]0.0245199762662481[/C][/ROW]
[ROW][C]0.73[/C][C]5.7183394858561[/C][C]0.0276000681869712[/C][/ROW]
[ROW][C]0.74[/C][C]5.72495611623071[/C][C]0.0309688532229174[/C][/ROW]
[ROW][C]0.75[/C][C]5.7322892601195[/C][C]0.0340780152490671[/C][/ROW]
[ROW][C]0.76[/C][C]5.7402346059928[/C][C]0.036410037553265[/C][/ROW]
[ROW][C]0.77[/C][C]5.74858915844247[/C][C]0.0375610219036014[/C][/ROW]
[ROW][C]0.78[/C][C]5.75708379455971[/C][C]0.0373131318936848[/C][/ROW]
[ROW][C]0.79[/C][C]5.76543322642816[/C][C]0.035677554073295[/C][/ROW]
[ROW][C]0.8[/C][C]5.77339764981509[/C][C]0.0329259445524801[/C][/ROW]
[ROW][C]0.81[/C][C]5.78084821040897[/C][C]0.0295761973968545[/C][/ROW]
[ROW][C]0.82[/C][C]5.78782740346224[/C][C]0.026379932730765[/C][/ROW]
[ROW][C]0.83[/C][C]5.79459486505204[/C][C]0.0242912375124534[/C][/ROW]
[ROW][C]0.84[/C][C]5.80164739362863[/C][C]0.0244230162177102[/C][/ROW]
[ROW][C]0.85[/C][C]5.80969889574578[/C][C]0.0277017545910757[/C][/ROW]
[ROW][C]0.86[/C][C]5.81960334241569[/C][C]0.0343516582287329[/C][/ROW]
[ROW][C]0.87[/C][C]5.83220750794346[/C][C]0.0437856033033[/C][/ROW]
[ROW][C]0.88[/C][C]5.84813778053467[/C][C]0.054670802097242[/C][/ROW]
[ROW][C]0.89[/C][C]5.86755965181072[/C][C]0.0649843000959787[/C][/ROW]
[ROW][C]0.9[/C][C]5.88998924817032[/C][C]0.072336640188203[/C][/ROW]
[ROW][C]0.91[/C][C]5.91425620151781[/C][C]0.0745951884627092[/C][/ROW]
[ROW][C]0.92[/C][C]5.93868400585729[/C][C]0.0707192679213123[/C][/ROW]
[ROW][C]0.93[/C][C]5.96146004069537[/C][C]0.0612832752767356[/C][/ROW]
[ROW][C]0.94[/C][C]5.98105762845899[/C][C]0.0483343479145415[/C][/ROW]
[ROW][C]0.95[/C][C]5.99653311645976[/C][C]0.034504975098555[/C][/ROW]
[ROW][C]0.96[/C][C]6.0076069104742[/C][C]0.0219543070759005[/C][/ROW]
[ROW][C]0.97[/C][C]6.01458688522115[/C][C]0.0119034964817063[/C][/ROW]
[ROW][C]0.98[/C][C]6.01824861898422[/C][C]0.00492813622453638[/C][/ROW]
[ROW][C]0.99[/C][C]6.01967989884792[/C][C]0.00117700664966698[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212813&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212813&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
0.014.690025105882970.000120411973678058
0.024.690199808913130.000801318029834495
0.034.69086204950530.00288236409385221
0.044.69262941761620.00730139991872437
0.054.696321077865710.014487415674168
0.064.702734478238310.0239729617348904
0.074.712407386945360.0346690817591196
0.084.725535326365630.0456954352118623
0.094.742114086202140.0572381826282663
0.14.762214186409740.0707761679127819
0.114.786194858665370.0881345821167636
0.124.814696723800060.110051582951
0.134.848383937181180.135236158318233
0.144.887548718920040.160564883186012
0.154.931763494663970.18203316073995
0.164.979740411342340.195893367612232
0.175.029461586860780.199710099454246
0.185.078531462055230.192940557566672
0.195.124626173583330.176961391328307
0.25.165898668556730.154538985846745
0.215.201236054163990.129093461017906
0.225.230330555390970.103910443488006
0.235.253586780329880.0816419078965455
0.245.271925140226340.0640763304981674
0.255.286549085728730.0521932099162334
0.265.298729724621720.0462121238818437
0.275.309638125131160.0454741992669119
0.285.320234322813190.0485395930765762
0.295.331208564998530.0537554224213807
0.35.342965046783510.0596699036007909
0.315.355638427657340.0651223422907143
0.325.369135189376070.0692304844624424
0.335.383192951431090.0714260744510972
0.345.397450485679720.0714693721285014
0.355.411520025632050.0694644240054288
0.365.425052761444670.065775791276992
0.375.437789130934540.0609951599207992
0.385.449587960528040.0558176937143182
0.395.460432251035810.0509256828920957
0.45.470413543337380.0468656658316004
0.415.479700347200930.0440087719769018
0.425.488498317994420.0424390519733829
0.435.497010383769530.0419942154533624
0.445.505403953692830.0423099040285896
0.455.513790097602770.0429582632514172
0.465.522216760842290.043558243813279
0.475.530675266293370.0438193397382727
0.485.539117052690080.0435931924833962
0.495.547476131562310.0428713262167822
0.55.555692247503780.0417783914232772
0.515.563730147821850.0405254684578223
0.525.571591514143350.0393770043241349
0.535.579317700913370.0385849969761199
0.545.586983163254120.0383412573275541
0.555.594681070847350.0387284947773407
0.565.602503889437870.0396801836718119
0.575.610522528659570.0409980195926913
0.585.618767922034640.0424021474089368
0.595.627218586779040.0435472088036089
0.65.635796823837490.044126042970158
0.615.644374850854820.0438818965210379
0.625.652790493561260.0426694660871167
0.635.660870365028590.040477916584246
0.645.668457055372490.0374468547514869
0.655.675436023333910.0338440344302503
0.665.681757794075580.0300271440153096
0.675.687451719444690.0264308566772256
0.685.692628777987120.023506166388525
0.695.6974724213780.0216712184272142
0.75.702218065045020.0212326960140744
0.715.707123320607070.0222550859620535
0.725.712432422887820.0245199762662481
0.735.71833948585610.0276000681869712
0.745.724956116230710.0309688532229174
0.755.73228926011950.0340780152490671
0.765.74023460599280.036410037553265
0.775.748589158442470.0375610219036014
0.785.757083794559710.0373131318936848
0.795.765433226428160.035677554073295
0.85.773397649815090.0329259445524801
0.815.780848210408970.0295761973968545
0.825.787827403462240.026379932730765
0.835.794594865052040.0242912375124534
0.845.801647393628630.0244230162177102
0.855.809698895745780.0277017545910757
0.865.819603342415690.0343516582287329
0.875.832207507943460.0437856033033
0.885.848137780534670.054670802097242
0.895.867559651810720.0649843000959787
0.95.889989248170320.072336640188203
0.915.914256201517810.0745951884627092
0.925.938684005857290.0707192679213123
0.935.961460040695370.0612832752767356
0.945.981057628458990.0483343479145415
0.955.996533116459760.034504975098555
0.966.00760691047420.0219543070759005
0.976.014586885221150.0119034964817063
0.986.018248618984220.00492813622453638
0.996.019679898847920.00117700664966698


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')