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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 21 Oct 2007 22:40:54 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Oct/22/g4581bscthtjo3n1193031500.htm/, Retrieved Sun, 05 May 2024 23:57:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1462, Retrieved Sun, 05 May 2024 23:57:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact184

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] [confidence interval] [2007-10-22 05:40:54] [079615521100262cd8b5675a0217a3b1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
95.90
96.06
96.31
96.34
96.49
96.22
96.53
96.50
96.77
96.66
96.58
96.63
97.06
97.73
98.01
97.76
97.49
97.77
97.96
98.23
98.51
98.19
98.37
98.31
98.60
98.97
99.11
99.64
100.03
99.98
100.32
100.44
100.51
101.00
100.88
100.55
100.83
101.51
102.16
102.39
102.54
102.85
103.47
103.57
103.69
103.50
103.47
103.45
103.48
103.93
103.89
104.40
104.79
104.77
105.13
105.26
104.96
104.75
105.01
105.15
105.20
105.77
105.78
106.26
106.13
106.12
106.57
106.44
106.54

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1462&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1462&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1462&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.00595.92095215950850.156037477002761
0.01595.99084423004440.153888160485352
0.02596.07698779673780.152320146315986
0.03596.16066830769820.147135572162945
0.04596.2346191920640.139734028770838
0.05596.2984764432860.133608888603239
0.06596.35430075192840.130202114402376
0.07596.40454299462980.129905379528888
0.08596.4515600803620.134229958621287
0.09596.49770552267950.145961896559149
0.10596.54546612429840.167972164114569
0.11596.59742901101050.201219918253933
0.12596.6560548596960.244594275555450
0.13596.72333981200070.294819471814759
0.14596.80048369032130.347518467408176
0.15596.88766739896270.397812454451560
0.16596.98400214471020.440903609920434
0.17597.08766473868430.473127694095457
0.18597.19618794631140.492412196928044
0.19597.30684145627540.498511559839535
0.20597.41702435442740.493218856098169
0.21597.52459634438840.479310780612982
0.22597.62809846909520.460820286555873
0.23597.7268458335530.441353637587514
0.24597.82090441937540.424813192332435
0.25597.91098358828880.413859230753722
0.26597.9982822032040.41039251691168
0.27598.0843212700870.415667224563239
0.28598.17078458816110.430242166494048
0.29598.25937673482960.45372706038958
0.30598.3516990557860.485426115763201
0.31598.44914099737530.523696870638246
0.32598.55278555155010.566754574996209
0.33598.66333167204840.612306281903118
0.34598.78104068035880.657260539268
0.35598.90571579106680.699410877085892
0.36599.03672284196290.735870906573806
0.37599.17305614835890.765027565884521
0.38599.31344707542270.785716644485918
0.39599.45650592672450.797392659049937
0.40599.60088165604180.800946086998549
0.41599.74542000911990.798063946883459
0.42599.88929975361110.79101039997888
0.435100.0321288121200.782808031587842
0.445100.1739869742060.776568604819484
0.455100.3154086197010.775373013051995
0.465100.4573065086680.781186259864734
0.475100.6008451153850.7953039256172
0.485100.7472782465200.817716183973848
0.495100.8977700410510.847025561350364
0.505101.0532204304710.880999210595483
0.515101.2141155786120.91635740543895
0.525101.3804208689150.949554802786292
0.535101.5515290967820.976831652908987
0.545101.7262703107960.995174383310234
0.555101.9029830053781.00198492316143
0.565102.0796398729440.995530085772875
0.575102.254015732210.975260543333405
0.585102.4238810236200.9417505662795
0.595102.5872016574090.896462647874368
0.605102.7423251054800.84221180424953
0.615102.8881334463870.78226289489551
0.625103.0241465778860.72041932710327
0.635103.1505629647800.660760192222278
0.645103.2682309923770.607171692604736
0.655103.3785510005720.562874437498026
0.665103.4833158949830.530343036241135
0.675103.5845061003160.510441470336524
0.685103.6840615125590.502372405117869
0.695103.7836578561650.503907062519594
0.705103.8845163502510.511446864728967
0.715103.9872730316650.521019205435041
0.725104.0919272530380.528680028732031
0.735104.1978783653140.531108722441285
0.745104.3040469084360.525983742626359
0.755104.4090640182880.512412092829209
0.765104.5115027248580.490563097755604
0.775104.6101193928450.461977542579113
0.785104.7040735011530.429188993274292
0.795104.7930983324440.395227325669704
0.805104.8776016114180.363783540061519
0.815104.9586811171570.338214569609099
0.825105.0380446555360.321450472833128
0.835105.1178281059680.31529652941799
0.845105.2003137868200.320091638327979
0.855105.2875688511610.333745232802387
0.865105.3810512911190.352249955382954
0.875105.4812637917440.370241380027684
0.885105.5875589402410.382331780466647
0.895105.6981930474170.383922167100549
0.905105.8106717050350.372694022920936
0.915105.9223237729950.349319934615238
0.925106.0309058629170.317270894611542
0.935106.1349396199880.281741818296735
0.945106.2335130582150.246859552784957
0.955106.3255115835210.212945777056703
0.965106.4086475820650.175834695699083
0.975106.4789918979890.130901260424377
0.985106.5316413386190.0803608956621792

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.005 & 95.9209521595085 & 0.156037477002761 \tabularnewline
0.015 & 95.9908442300444 & 0.153888160485352 \tabularnewline
0.025 & 96.0769877967378 & 0.152320146315986 \tabularnewline
0.035 & 96.1606683076982 & 0.147135572162945 \tabularnewline
0.045 & 96.234619192064 & 0.139734028770838 \tabularnewline
0.055 & 96.298476443286 & 0.133608888603239 \tabularnewline
0.065 & 96.3543007519284 & 0.130202114402376 \tabularnewline
0.075 & 96.4045429946298 & 0.129905379528888 \tabularnewline
0.085 & 96.451560080362 & 0.134229958621287 \tabularnewline
0.095 & 96.4977055226795 & 0.145961896559149 \tabularnewline
0.105 & 96.5454661242984 & 0.167972164114569 \tabularnewline
0.115 & 96.5974290110105 & 0.201219918253933 \tabularnewline
0.125 & 96.656054859696 & 0.244594275555450 \tabularnewline
0.135 & 96.7233398120007 & 0.294819471814759 \tabularnewline
0.145 & 96.8004836903213 & 0.347518467408176 \tabularnewline
0.155 & 96.8876673989627 & 0.397812454451560 \tabularnewline
0.165 & 96.9840021447102 & 0.440903609920434 \tabularnewline
0.175 & 97.0876647386843 & 0.473127694095457 \tabularnewline
0.185 & 97.1961879463114 & 0.492412196928044 \tabularnewline
0.195 & 97.3068414562754 & 0.498511559839535 \tabularnewline
0.205 & 97.4170243544274 & 0.493218856098169 \tabularnewline
0.215 & 97.5245963443884 & 0.479310780612982 \tabularnewline
0.225 & 97.6280984690952 & 0.460820286555873 \tabularnewline
0.235 & 97.726845833553 & 0.441353637587514 \tabularnewline
0.245 & 97.8209044193754 & 0.424813192332435 \tabularnewline
0.255 & 97.9109835882888 & 0.413859230753722 \tabularnewline
0.265 & 97.998282203204 & 0.41039251691168 \tabularnewline
0.275 & 98.084321270087 & 0.415667224563239 \tabularnewline
0.285 & 98.1707845881611 & 0.430242166494048 \tabularnewline
0.295 & 98.2593767348296 & 0.45372706038958 \tabularnewline
0.305 & 98.351699055786 & 0.485426115763201 \tabularnewline
0.315 & 98.4491409973753 & 0.523696870638246 \tabularnewline
0.325 & 98.5527855515501 & 0.566754574996209 \tabularnewline
0.335 & 98.6633316720484 & 0.612306281903118 \tabularnewline
0.345 & 98.7810406803588 & 0.657260539268 \tabularnewline
0.355 & 98.9057157910668 & 0.699410877085892 \tabularnewline
0.365 & 99.0367228419629 & 0.735870906573806 \tabularnewline
0.375 & 99.1730561483589 & 0.765027565884521 \tabularnewline
0.385 & 99.3134470754227 & 0.785716644485918 \tabularnewline
0.395 & 99.4565059267245 & 0.797392659049937 \tabularnewline
0.405 & 99.6008816560418 & 0.800946086998549 \tabularnewline
0.415 & 99.7454200091199 & 0.798063946883459 \tabularnewline
0.425 & 99.8892997536111 & 0.79101039997888 \tabularnewline
0.435 & 100.032128812120 & 0.782808031587842 \tabularnewline
0.445 & 100.173986974206 & 0.776568604819484 \tabularnewline
0.455 & 100.315408619701 & 0.775373013051995 \tabularnewline
0.465 & 100.457306508668 & 0.781186259864734 \tabularnewline
0.475 & 100.600845115385 & 0.7953039256172 \tabularnewline
0.485 & 100.747278246520 & 0.817716183973848 \tabularnewline
0.495 & 100.897770041051 & 0.847025561350364 \tabularnewline
0.505 & 101.053220430471 & 0.880999210595483 \tabularnewline
0.515 & 101.214115578612 & 0.91635740543895 \tabularnewline
0.525 & 101.380420868915 & 0.949554802786292 \tabularnewline
0.535 & 101.551529096782 & 0.976831652908987 \tabularnewline
0.545 & 101.726270310796 & 0.995174383310234 \tabularnewline
0.555 & 101.902983005378 & 1.00198492316143 \tabularnewline
0.565 & 102.079639872944 & 0.995530085772875 \tabularnewline
0.575 & 102.25401573221 & 0.975260543333405 \tabularnewline
0.585 & 102.423881023620 & 0.9417505662795 \tabularnewline
0.595 & 102.587201657409 & 0.896462647874368 \tabularnewline
0.605 & 102.742325105480 & 0.84221180424953 \tabularnewline
0.615 & 102.888133446387 & 0.78226289489551 \tabularnewline
0.625 & 103.024146577886 & 0.72041932710327 \tabularnewline
0.635 & 103.150562964780 & 0.660760192222278 \tabularnewline
0.645 & 103.268230992377 & 0.607171692604736 \tabularnewline
0.655 & 103.378551000572 & 0.562874437498026 \tabularnewline
0.665 & 103.483315894983 & 0.530343036241135 \tabularnewline
0.675 & 103.584506100316 & 0.510441470336524 \tabularnewline
0.685 & 103.684061512559 & 0.502372405117869 \tabularnewline
0.695 & 103.783657856165 & 0.503907062519594 \tabularnewline
0.705 & 103.884516350251 & 0.511446864728967 \tabularnewline
0.715 & 103.987273031665 & 0.521019205435041 \tabularnewline
0.725 & 104.091927253038 & 0.528680028732031 \tabularnewline
0.735 & 104.197878365314 & 0.531108722441285 \tabularnewline
0.745 & 104.304046908436 & 0.525983742626359 \tabularnewline
0.755 & 104.409064018288 & 0.512412092829209 \tabularnewline
0.765 & 104.511502724858 & 0.490563097755604 \tabularnewline
0.775 & 104.610119392845 & 0.461977542579113 \tabularnewline
0.785 & 104.704073501153 & 0.429188993274292 \tabularnewline
0.795 & 104.793098332444 & 0.395227325669704 \tabularnewline
0.805 & 104.877601611418 & 0.363783540061519 \tabularnewline
0.815 & 104.958681117157 & 0.338214569609099 \tabularnewline
0.825 & 105.038044655536 & 0.321450472833128 \tabularnewline
0.835 & 105.117828105968 & 0.31529652941799 \tabularnewline
0.845 & 105.200313786820 & 0.320091638327979 \tabularnewline
0.855 & 105.287568851161 & 0.333745232802387 \tabularnewline
0.865 & 105.381051291119 & 0.352249955382954 \tabularnewline
0.875 & 105.481263791744 & 0.370241380027684 \tabularnewline
0.885 & 105.587558940241 & 0.382331780466647 \tabularnewline
0.895 & 105.698193047417 & 0.383922167100549 \tabularnewline
0.905 & 105.810671705035 & 0.372694022920936 \tabularnewline
0.915 & 105.922323772995 & 0.349319934615238 \tabularnewline
0.925 & 106.030905862917 & 0.317270894611542 \tabularnewline
0.935 & 106.134939619988 & 0.281741818296735 \tabularnewline
0.945 & 106.233513058215 & 0.246859552784957 \tabularnewline
0.955 & 106.325511583521 & 0.212945777056703 \tabularnewline
0.965 & 106.408647582065 & 0.175834695699083 \tabularnewline
0.975 & 106.478991897989 & 0.130901260424377 \tabularnewline
0.985 & 106.531641338619 & 0.0803608956621792 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1462&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.005[/C][C]95.9209521595085[/C][C]0.156037477002761[/C][/ROW]
[ROW][C]0.015[/C][C]95.9908442300444[/C][C]0.153888160485352[/C][/ROW]
[ROW][C]0.025[/C][C]96.0769877967378[/C][C]0.152320146315986[/C][/ROW]
[ROW][C]0.035[/C][C]96.1606683076982[/C][C]0.147135572162945[/C][/ROW]
[ROW][C]0.045[/C][C]96.234619192064[/C][C]0.139734028770838[/C][/ROW]
[ROW][C]0.055[/C][C]96.298476443286[/C][C]0.133608888603239[/C][/ROW]
[ROW][C]0.065[/C][C]96.3543007519284[/C][C]0.130202114402376[/C][/ROW]
[ROW][C]0.075[/C][C]96.4045429946298[/C][C]0.129905379528888[/C][/ROW]
[ROW][C]0.085[/C][C]96.451560080362[/C][C]0.134229958621287[/C][/ROW]
[ROW][C]0.095[/C][C]96.4977055226795[/C][C]0.145961896559149[/C][/ROW]
[ROW][C]0.105[/C][C]96.5454661242984[/C][C]0.167972164114569[/C][/ROW]
[ROW][C]0.115[/C][C]96.5974290110105[/C][C]0.201219918253933[/C][/ROW]
[ROW][C]0.125[/C][C]96.656054859696[/C][C]0.244594275555450[/C][/ROW]
[ROW][C]0.135[/C][C]96.7233398120007[/C][C]0.294819471814759[/C][/ROW]
[ROW][C]0.145[/C][C]96.8004836903213[/C][C]0.347518467408176[/C][/ROW]
[ROW][C]0.155[/C][C]96.8876673989627[/C][C]0.397812454451560[/C][/ROW]
[ROW][C]0.165[/C][C]96.9840021447102[/C][C]0.440903609920434[/C][/ROW]
[ROW][C]0.175[/C][C]97.0876647386843[/C][C]0.473127694095457[/C][/ROW]
[ROW][C]0.185[/C][C]97.1961879463114[/C][C]0.492412196928044[/C][/ROW]
[ROW][C]0.195[/C][C]97.3068414562754[/C][C]0.498511559839535[/C][/ROW]
[ROW][C]0.205[/C][C]97.4170243544274[/C][C]0.493218856098169[/C][/ROW]
[ROW][C]0.215[/C][C]97.5245963443884[/C][C]0.479310780612982[/C][/ROW]
[ROW][C]0.225[/C][C]97.6280984690952[/C][C]0.460820286555873[/C][/ROW]
[ROW][C]0.235[/C][C]97.726845833553[/C][C]0.441353637587514[/C][/ROW]
[ROW][C]0.245[/C][C]97.8209044193754[/C][C]0.424813192332435[/C][/ROW]
[ROW][C]0.255[/C][C]97.9109835882888[/C][C]0.413859230753722[/C][/ROW]
[ROW][C]0.265[/C][C]97.998282203204[/C][C]0.41039251691168[/C][/ROW]
[ROW][C]0.275[/C][C]98.084321270087[/C][C]0.415667224563239[/C][/ROW]
[ROW][C]0.285[/C][C]98.1707845881611[/C][C]0.430242166494048[/C][/ROW]
[ROW][C]0.295[/C][C]98.2593767348296[/C][C]0.45372706038958[/C][/ROW]
[ROW][C]0.305[/C][C]98.351699055786[/C][C]0.485426115763201[/C][/ROW]
[ROW][C]0.315[/C][C]98.4491409973753[/C][C]0.523696870638246[/C][/ROW]
[ROW][C]0.325[/C][C]98.5527855515501[/C][C]0.566754574996209[/C][/ROW]
[ROW][C]0.335[/C][C]98.6633316720484[/C][C]0.612306281903118[/C][/ROW]
[ROW][C]0.345[/C][C]98.7810406803588[/C][C]0.657260539268[/C][/ROW]
[ROW][C]0.355[/C][C]98.9057157910668[/C][C]0.699410877085892[/C][/ROW]
[ROW][C]0.365[/C][C]99.0367228419629[/C][C]0.735870906573806[/C][/ROW]
[ROW][C]0.375[/C][C]99.1730561483589[/C][C]0.765027565884521[/C][/ROW]
[ROW][C]0.385[/C][C]99.3134470754227[/C][C]0.785716644485918[/C][/ROW]
[ROW][C]0.395[/C][C]99.4565059267245[/C][C]0.797392659049937[/C][/ROW]
[ROW][C]0.405[/C][C]99.6008816560418[/C][C]0.800946086998549[/C][/ROW]
[ROW][C]0.415[/C][C]99.7454200091199[/C][C]0.798063946883459[/C][/ROW]
[ROW][C]0.425[/C][C]99.8892997536111[/C][C]0.79101039997888[/C][/ROW]
[ROW][C]0.435[/C][C]100.032128812120[/C][C]0.782808031587842[/C][/ROW]
[ROW][C]0.445[/C][C]100.173986974206[/C][C]0.776568604819484[/C][/ROW]
[ROW][C]0.455[/C][C]100.315408619701[/C][C]0.775373013051995[/C][/ROW]
[ROW][C]0.465[/C][C]100.457306508668[/C][C]0.781186259864734[/C][/ROW]
[ROW][C]0.475[/C][C]100.600845115385[/C][C]0.7953039256172[/C][/ROW]
[ROW][C]0.485[/C][C]100.747278246520[/C][C]0.817716183973848[/C][/ROW]
[ROW][C]0.495[/C][C]100.897770041051[/C][C]0.847025561350364[/C][/ROW]
[ROW][C]0.505[/C][C]101.053220430471[/C][C]0.880999210595483[/C][/ROW]
[ROW][C]0.515[/C][C]101.214115578612[/C][C]0.91635740543895[/C][/ROW]
[ROW][C]0.525[/C][C]101.380420868915[/C][C]0.949554802786292[/C][/ROW]
[ROW][C]0.535[/C][C]101.551529096782[/C][C]0.976831652908987[/C][/ROW]
[ROW][C]0.545[/C][C]101.726270310796[/C][C]0.995174383310234[/C][/ROW]
[ROW][C]0.555[/C][C]101.902983005378[/C][C]1.00198492316143[/C][/ROW]
[ROW][C]0.565[/C][C]102.079639872944[/C][C]0.995530085772875[/C][/ROW]
[ROW][C]0.575[/C][C]102.25401573221[/C][C]0.975260543333405[/C][/ROW]
[ROW][C]0.585[/C][C]102.423881023620[/C][C]0.9417505662795[/C][/ROW]
[ROW][C]0.595[/C][C]102.587201657409[/C][C]0.896462647874368[/C][/ROW]
[ROW][C]0.605[/C][C]102.742325105480[/C][C]0.84221180424953[/C][/ROW]
[ROW][C]0.615[/C][C]102.888133446387[/C][C]0.78226289489551[/C][/ROW]
[ROW][C]0.625[/C][C]103.024146577886[/C][C]0.72041932710327[/C][/ROW]
[ROW][C]0.635[/C][C]103.150562964780[/C][C]0.660760192222278[/C][/ROW]
[ROW][C]0.645[/C][C]103.268230992377[/C][C]0.607171692604736[/C][/ROW]
[ROW][C]0.655[/C][C]103.378551000572[/C][C]0.562874437498026[/C][/ROW]
[ROW][C]0.665[/C][C]103.483315894983[/C][C]0.530343036241135[/C][/ROW]
[ROW][C]0.675[/C][C]103.584506100316[/C][C]0.510441470336524[/C][/ROW]
[ROW][C]0.685[/C][C]103.684061512559[/C][C]0.502372405117869[/C][/ROW]
[ROW][C]0.695[/C][C]103.783657856165[/C][C]0.503907062519594[/C][/ROW]
[ROW][C]0.705[/C][C]103.884516350251[/C][C]0.511446864728967[/C][/ROW]
[ROW][C]0.715[/C][C]103.987273031665[/C][C]0.521019205435041[/C][/ROW]
[ROW][C]0.725[/C][C]104.091927253038[/C][C]0.528680028732031[/C][/ROW]
[ROW][C]0.735[/C][C]104.197878365314[/C][C]0.531108722441285[/C][/ROW]
[ROW][C]0.745[/C][C]104.304046908436[/C][C]0.525983742626359[/C][/ROW]
[ROW][C]0.755[/C][C]104.409064018288[/C][C]0.512412092829209[/C][/ROW]
[ROW][C]0.765[/C][C]104.511502724858[/C][C]0.490563097755604[/C][/ROW]
[ROW][C]0.775[/C][C]104.610119392845[/C][C]0.461977542579113[/C][/ROW]
[ROW][C]0.785[/C][C]104.704073501153[/C][C]0.429188993274292[/C][/ROW]
[ROW][C]0.795[/C][C]104.793098332444[/C][C]0.395227325669704[/C][/ROW]
[ROW][C]0.805[/C][C]104.877601611418[/C][C]0.363783540061519[/C][/ROW]
[ROW][C]0.815[/C][C]104.958681117157[/C][C]0.338214569609099[/C][/ROW]
[ROW][C]0.825[/C][C]105.038044655536[/C][C]0.321450472833128[/C][/ROW]
[ROW][C]0.835[/C][C]105.117828105968[/C][C]0.31529652941799[/C][/ROW]
[ROW][C]0.845[/C][C]105.200313786820[/C][C]0.320091638327979[/C][/ROW]
[ROW][C]0.855[/C][C]105.287568851161[/C][C]0.333745232802387[/C][/ROW]
[ROW][C]0.865[/C][C]105.381051291119[/C][C]0.352249955382954[/C][/ROW]
[ROW][C]0.875[/C][C]105.481263791744[/C][C]0.370241380027684[/C][/ROW]
[ROW][C]0.885[/C][C]105.587558940241[/C][C]0.382331780466647[/C][/ROW]
[ROW][C]0.895[/C][C]105.698193047417[/C][C]0.383922167100549[/C][/ROW]
[ROW][C]0.905[/C][C]105.810671705035[/C][C]0.372694022920936[/C][/ROW]
[ROW][C]0.915[/C][C]105.922323772995[/C][C]0.349319934615238[/C][/ROW]
[ROW][C]0.925[/C][C]106.030905862917[/C][C]0.317270894611542[/C][/ROW]
[ROW][C]0.935[/C][C]106.134939619988[/C][C]0.281741818296735[/C][/ROW]
[ROW][C]0.945[/C][C]106.233513058215[/C][C]0.246859552784957[/C][/ROW]
[ROW][C]0.955[/C][C]106.325511583521[/C][C]0.212945777056703[/C][/ROW]
[ROW][C]0.965[/C][C]106.408647582065[/C][C]0.175834695699083[/C][/ROW]
[ROW][C]0.975[/C][C]106.478991897989[/C][C]0.130901260424377[/C][/ROW]
[ROW][C]0.985[/C][C]106.531641338619[/C][C]0.0803608956621792[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1462&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1462&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
0.00595.92095215950850.156037477002761
0.01595.99084423004440.153888160485352
0.02596.07698779673780.152320146315986
0.03596.16066830769820.147135572162945
0.04596.2346191920640.139734028770838
0.05596.2984764432860.133608888603239
0.06596.35430075192840.130202114402376
0.07596.40454299462980.129905379528888
0.08596.4515600803620.134229958621287
0.09596.49770552267950.145961896559149
0.10596.54546612429840.167972164114569
0.11596.59742901101050.201219918253933
0.12596.6560548596960.244594275555450
0.13596.72333981200070.294819471814759
0.14596.80048369032130.347518467408176
0.15596.88766739896270.397812454451560
0.16596.98400214471020.440903609920434
0.17597.08766473868430.473127694095457
0.18597.19618794631140.492412196928044
0.19597.30684145627540.498511559839535
0.20597.41702435442740.493218856098169
0.21597.52459634438840.479310780612982
0.22597.62809846909520.460820286555873
0.23597.7268458335530.441353637587514
0.24597.82090441937540.424813192332435
0.25597.91098358828880.413859230753722
0.26597.9982822032040.41039251691168
0.27598.0843212700870.415667224563239
0.28598.17078458816110.430242166494048
0.29598.25937673482960.45372706038958
0.30598.3516990557860.485426115763201
0.31598.44914099737530.523696870638246
0.32598.55278555155010.566754574996209
0.33598.66333167204840.612306281903118
0.34598.78104068035880.657260539268
0.35598.90571579106680.699410877085892
0.36599.03672284196290.735870906573806
0.37599.17305614835890.765027565884521
0.38599.31344707542270.785716644485918
0.39599.45650592672450.797392659049937
0.40599.60088165604180.800946086998549
0.41599.74542000911990.798063946883459
0.42599.88929975361110.79101039997888
0.435100.0321288121200.782808031587842
0.445100.1739869742060.776568604819484
0.455100.3154086197010.775373013051995
0.465100.4573065086680.781186259864734
0.475100.6008451153850.7953039256172
0.485100.7472782465200.817716183973848
0.495100.8977700410510.847025561350364
0.505101.0532204304710.880999210595483
0.515101.2141155786120.91635740543895
0.525101.3804208689150.949554802786292
0.535101.5515290967820.976831652908987
0.545101.7262703107960.995174383310234
0.555101.9029830053781.00198492316143
0.565102.0796398729440.995530085772875
0.575102.254015732210.975260543333405
0.585102.4238810236200.9417505662795
0.595102.5872016574090.896462647874368
0.605102.7423251054800.84221180424953
0.615102.8881334463870.78226289489551
0.625103.0241465778860.72041932710327
0.635103.1505629647800.660760192222278
0.645103.2682309923770.607171692604736
0.655103.3785510005720.562874437498026
0.665103.4833158949830.530343036241135
0.675103.5845061003160.510441470336524
0.685103.6840615125590.502372405117869
0.695103.7836578561650.503907062519594
0.705103.8845163502510.511446864728967
0.715103.9872730316650.521019205435041
0.725104.0919272530380.528680028732031
0.735104.1978783653140.531108722441285
0.745104.3040469084360.525983742626359
0.755104.4090640182880.512412092829209
0.765104.5115027248580.490563097755604
0.775104.6101193928450.461977542579113
0.785104.7040735011530.429188993274292
0.795104.7930983324440.395227325669704
0.805104.8776016114180.363783540061519
0.815104.9586811171570.338214569609099
0.825105.0380446555360.321450472833128
0.835105.1178281059680.31529652941799
0.845105.2003137868200.320091638327979
0.855105.2875688511610.333745232802387
0.865105.3810512911190.352249955382954
0.875105.4812637917440.370241380027684
0.885105.5875589402410.382331780466647
0.895105.6981930474170.383922167100549
0.905105.8106717050350.372694022920936
0.915105.9223237729950.349319934615238
0.925106.0309058629170.317270894611542
0.935106.1349396199880.281741818296735
0.945106.2335130582150.246859552784957
0.955106.3255115835210.212945777056703
0.965106.4086475820650.175834695699083
0.975106.4789918979890.130901260424377
0.985106.5316413386190.0803608956621792


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.005 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.005 ; 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')