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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 computationTue, 01 Mar 2016 20:38:52 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Mar/01/t14568647803h5su7mp351nakp.htm/, Retrieved Tue, 07 May 2024 21:36:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293240, Retrieved Tue, 07 May 2024 21:36:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96

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] [] [2016-03-01 20:38:52] [1e8cb0485fd9b8c1cf436607044e417d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92.86
94.06
95.51
96.05
96.71
97.91
97.74
97.64
98.55
98.46
99.19
99.18
99.95
100.66
101.12
101.14
100.73
99.92
100.06
100.64
100.89
100.87
100.72
100.72
100.98
100.15
100.13
100.39
99.87
99.93
99.96
99.61
99.57
99.71
99.78
99.92
100.3
100.83
100.84
97.87
97.99
98.03
97.58
97.45
97.47
98.31
98.29
98.13
98.44
98.05
98.32
97.55
97.74
98.01
97.93
99.23
101.03
100.81
100.57
100.1

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'George Udny Yule' @ yule.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293240&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293240&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293240&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'George Udny Yule' @ yule.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0193.19820300521551.19616205388288
0.0293.73505101544811.23195117529618
0.0394.34250226315681.24146599863579
0.0494.92858480813211.19571504273599
0.0595.45056672859271.10915686302464
0.0695.89751030355521.00558042854404
0.0796.27264848943740.896406628154661
0.0896.58348477984480.783702154913006
0.0996.83791392009210.668906832777574
0.197.04337433703040.556487634115643
0.1197.20702492619720.452858907987325
0.1297.33595092295890.364011780184161
0.1397.43708481677120.293355718600018
0.1497.51690103496220.241478703713161
0.1597.58106810820590.206330130265831
0.1697.63421021108870.184251376271392
0.1797.6798401851340.17123867807598
0.1897.72044758889130.163518216825284
0.1997.75768505106220.158611402059995
0.297.79259102433010.155018246781332
0.2197.8258017711460.152087816511241
0.2297.85772571561340.149706812808559
0.2397.88867064118610.148210424799733
0.2497.91892565054890.147911398879243
0.2597.94880574070410.149310288152492
0.2697.97866892368220.15287610570392
0.2798.00891563121180.15871821525758
0.2898.03997875232690.1670661372411
0.2998.07231065172670.178010594647633
0.398.10637121835590.191422541445825
0.3198.14261864393750.207446192221356
0.3298.18150251061430.225946422622485
0.3398.22345718987840.246972051602025
0.3498.26889279877470.270447581846796
0.3598.31818117093560.296185588628898
0.3698.3716354261490.323753510714081
0.3798.42948349336210.352655888313919
0.3898.49183792073450.382111127730633
0.3998.55866598851530.410864613605119
0.498.62976508203710.43790071867755
0.4198.70474821338520.46184441850963
0.4298.78304347545790.481464708536732
0.4398.86390929300010.495812727390344
0.4498.94646501012190.504072014471563
0.4599.02973411008790.50596431896499
0.4699.11269564486860.501112172794713
0.4799.19433855719570.490030042599946
0.4899.27371360146950.473251172175529
0.4999.34997840248770.451593598433353
0.599.42243256909040.426127563524459
0.5199.49054136737990.397842878003615
0.5299.55394793443030.367799322560275
0.5399.61247514355240.337191496882121
0.5499.66611890487660.306914359050435
0.5599.71503491249190.277905202954316
0.5699.75952073625730.250980562073925
0.5799.79999485057250.226856457207504
0.5899.83697383441290.205858838099592
0.5999.87104866203880.188682390595286
0.699.90286076602450.175512103285864
0.6199.93307837458030.166578921054159
0.6299.96237345871490.161704516458123
0.6399.99139943657330.160763264926138
0.64100.0207695777150.163441459494645
0.65100.0510358880230.169193782573249
0.66100.0826682365230.17737224108497
0.67100.11603371330.187263145801719
0.68100.1513767403560.198210888598975
0.69100.188801255910.20921190164631
0.7100.2282571957380.219398691976641
0.71100.2695342316220.227939367580816
0.72100.312265973840.233906932752912
0.73100.3559473208720.236570092859161
0.74100.3999662121410.235488216410171
0.75100.4436488088280.230420047851125
0.76100.4863144595270.221400912314855
0.77100.5273342919010.20894269251255
0.78100.5661856044850.193836570345256
0.79100.6024940402280.177019191221528
0.8100.6360571655540.159544999243693
0.81100.6668464826940.142373457329515
0.82100.6949894766270.126474182965174
0.83100.7207379668230.112419870472587
0.84100.7444324311510.100449840689339
0.85100.7664727737860.0905593443438027
0.86100.7873033933270.0827242152415002
0.87100.8074144982150.0768286841681258
0.88100.8273538068760.0729254367863313
0.89100.8477356340420.0712259295073228
0.9100.8692308883130.071883830838659
0.91100.8925235063410.0747495334182064
0.92100.9182251518890.0791265485247159
0.93100.9467462023850.0839155012505337
0.94100.9781233781910.0876440911378962
0.95101.0118078136250.0886473260875201
0.96101.0464403827930.0850095234770293
0.97101.0797037854610.0745849547055138
0.98101.1084361743220.0564773439536858
0.99101.129267494510.0345081337514877

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 93.1982030052155 & 1.19616205388288 \tabularnewline
0.02 & 93.7350510154481 & 1.23195117529618 \tabularnewline
0.03 & 94.3425022631568 & 1.24146599863579 \tabularnewline
0.04 & 94.9285848081321 & 1.19571504273599 \tabularnewline
0.05 & 95.4505667285927 & 1.10915686302464 \tabularnewline
0.06 & 95.8975103035552 & 1.00558042854404 \tabularnewline
0.07 & 96.2726484894374 & 0.896406628154661 \tabularnewline
0.08 & 96.5834847798448 & 0.783702154913006 \tabularnewline
0.09 & 96.8379139200921 & 0.668906832777574 \tabularnewline
0.1 & 97.0433743370304 & 0.556487634115643 \tabularnewline
0.11 & 97.2070249261972 & 0.452858907987325 \tabularnewline
0.12 & 97.3359509229589 & 0.364011780184161 \tabularnewline
0.13 & 97.4370848167712 & 0.293355718600018 \tabularnewline
0.14 & 97.5169010349622 & 0.241478703713161 \tabularnewline
0.15 & 97.5810681082059 & 0.206330130265831 \tabularnewline
0.16 & 97.6342102110887 & 0.184251376271392 \tabularnewline
0.17 & 97.679840185134 & 0.17123867807598 \tabularnewline
0.18 & 97.7204475888913 & 0.163518216825284 \tabularnewline
0.19 & 97.7576850510622 & 0.158611402059995 \tabularnewline
0.2 & 97.7925910243301 & 0.155018246781332 \tabularnewline
0.21 & 97.825801771146 & 0.152087816511241 \tabularnewline
0.22 & 97.8577257156134 & 0.149706812808559 \tabularnewline
0.23 & 97.8886706411861 & 0.148210424799733 \tabularnewline
0.24 & 97.9189256505489 & 0.147911398879243 \tabularnewline
0.25 & 97.9488057407041 & 0.149310288152492 \tabularnewline
0.26 & 97.9786689236822 & 0.15287610570392 \tabularnewline
0.27 & 98.0089156312118 & 0.15871821525758 \tabularnewline
0.28 & 98.0399787523269 & 0.1670661372411 \tabularnewline
0.29 & 98.0723106517267 & 0.178010594647633 \tabularnewline
0.3 & 98.1063712183559 & 0.191422541445825 \tabularnewline
0.31 & 98.1426186439375 & 0.207446192221356 \tabularnewline
0.32 & 98.1815025106143 & 0.225946422622485 \tabularnewline
0.33 & 98.2234571898784 & 0.246972051602025 \tabularnewline
0.34 & 98.2688927987747 & 0.270447581846796 \tabularnewline
0.35 & 98.3181811709356 & 0.296185588628898 \tabularnewline
0.36 & 98.371635426149 & 0.323753510714081 \tabularnewline
0.37 & 98.4294834933621 & 0.352655888313919 \tabularnewline
0.38 & 98.4918379207345 & 0.382111127730633 \tabularnewline
0.39 & 98.5586659885153 & 0.410864613605119 \tabularnewline
0.4 & 98.6297650820371 & 0.43790071867755 \tabularnewline
0.41 & 98.7047482133852 & 0.46184441850963 \tabularnewline
0.42 & 98.7830434754579 & 0.481464708536732 \tabularnewline
0.43 & 98.8639092930001 & 0.495812727390344 \tabularnewline
0.44 & 98.9464650101219 & 0.504072014471563 \tabularnewline
0.45 & 99.0297341100879 & 0.50596431896499 \tabularnewline
0.46 & 99.1126956448686 & 0.501112172794713 \tabularnewline
0.47 & 99.1943385571957 & 0.490030042599946 \tabularnewline
0.48 & 99.2737136014695 & 0.473251172175529 \tabularnewline
0.49 & 99.3499784024877 & 0.451593598433353 \tabularnewline
0.5 & 99.4224325690904 & 0.426127563524459 \tabularnewline
0.51 & 99.4905413673799 & 0.397842878003615 \tabularnewline
0.52 & 99.5539479344303 & 0.367799322560275 \tabularnewline
0.53 & 99.6124751435524 & 0.337191496882121 \tabularnewline
0.54 & 99.6661189048766 & 0.306914359050435 \tabularnewline
0.55 & 99.7150349124919 & 0.277905202954316 \tabularnewline
0.56 & 99.7595207362573 & 0.250980562073925 \tabularnewline
0.57 & 99.7999948505725 & 0.226856457207504 \tabularnewline
0.58 & 99.8369738344129 & 0.205858838099592 \tabularnewline
0.59 & 99.8710486620388 & 0.188682390595286 \tabularnewline
0.6 & 99.9028607660245 & 0.175512103285864 \tabularnewline
0.61 & 99.9330783745803 & 0.166578921054159 \tabularnewline
0.62 & 99.9623734587149 & 0.161704516458123 \tabularnewline
0.63 & 99.9913994365733 & 0.160763264926138 \tabularnewline
0.64 & 100.020769577715 & 0.163441459494645 \tabularnewline
0.65 & 100.051035888023 & 0.169193782573249 \tabularnewline
0.66 & 100.082668236523 & 0.17737224108497 \tabularnewline
0.67 & 100.1160337133 & 0.187263145801719 \tabularnewline
0.68 & 100.151376740356 & 0.198210888598975 \tabularnewline
0.69 & 100.18880125591 & 0.20921190164631 \tabularnewline
0.7 & 100.228257195738 & 0.219398691976641 \tabularnewline
0.71 & 100.269534231622 & 0.227939367580816 \tabularnewline
0.72 & 100.31226597384 & 0.233906932752912 \tabularnewline
0.73 & 100.355947320872 & 0.236570092859161 \tabularnewline
0.74 & 100.399966212141 & 0.235488216410171 \tabularnewline
0.75 & 100.443648808828 & 0.230420047851125 \tabularnewline
0.76 & 100.486314459527 & 0.221400912314855 \tabularnewline
0.77 & 100.527334291901 & 0.20894269251255 \tabularnewline
0.78 & 100.566185604485 & 0.193836570345256 \tabularnewline
0.79 & 100.602494040228 & 0.177019191221528 \tabularnewline
0.8 & 100.636057165554 & 0.159544999243693 \tabularnewline
0.81 & 100.666846482694 & 0.142373457329515 \tabularnewline
0.82 & 100.694989476627 & 0.126474182965174 \tabularnewline
0.83 & 100.720737966823 & 0.112419870472587 \tabularnewline
0.84 & 100.744432431151 & 0.100449840689339 \tabularnewline
0.85 & 100.766472773786 & 0.0905593443438027 \tabularnewline
0.86 & 100.787303393327 & 0.0827242152415002 \tabularnewline
0.87 & 100.807414498215 & 0.0768286841681258 \tabularnewline
0.88 & 100.827353806876 & 0.0729254367863313 \tabularnewline
0.89 & 100.847735634042 & 0.0712259295073228 \tabularnewline
0.9 & 100.869230888313 & 0.071883830838659 \tabularnewline
0.91 & 100.892523506341 & 0.0747495334182064 \tabularnewline
0.92 & 100.918225151889 & 0.0791265485247159 \tabularnewline
0.93 & 100.946746202385 & 0.0839155012505337 \tabularnewline
0.94 & 100.978123378191 & 0.0876440911378962 \tabularnewline
0.95 & 101.011807813625 & 0.0886473260875201 \tabularnewline
0.96 & 101.046440382793 & 0.0850095234770293 \tabularnewline
0.97 & 101.079703785461 & 0.0745849547055138 \tabularnewline
0.98 & 101.108436174322 & 0.0564773439536858 \tabularnewline
0.99 & 101.12926749451 & 0.0345081337514877 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293240&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]93.1982030052155[/C][C]1.19616205388288[/C][/ROW]
[ROW][C]0.02[/C][C]93.7350510154481[/C][C]1.23195117529618[/C][/ROW]
[ROW][C]0.03[/C][C]94.3425022631568[/C][C]1.24146599863579[/C][/ROW]
[ROW][C]0.04[/C][C]94.9285848081321[/C][C]1.19571504273599[/C][/ROW]
[ROW][C]0.05[/C][C]95.4505667285927[/C][C]1.10915686302464[/C][/ROW]
[ROW][C]0.06[/C][C]95.8975103035552[/C][C]1.00558042854404[/C][/ROW]
[ROW][C]0.07[/C][C]96.2726484894374[/C][C]0.896406628154661[/C][/ROW]
[ROW][C]0.08[/C][C]96.5834847798448[/C][C]0.783702154913006[/C][/ROW]
[ROW][C]0.09[/C][C]96.8379139200921[/C][C]0.668906832777574[/C][/ROW]
[ROW][C]0.1[/C][C]97.0433743370304[/C][C]0.556487634115643[/C][/ROW]
[ROW][C]0.11[/C][C]97.2070249261972[/C][C]0.452858907987325[/C][/ROW]
[ROW][C]0.12[/C][C]97.3359509229589[/C][C]0.364011780184161[/C][/ROW]
[ROW][C]0.13[/C][C]97.4370848167712[/C][C]0.293355718600018[/C][/ROW]
[ROW][C]0.14[/C][C]97.5169010349622[/C][C]0.241478703713161[/C][/ROW]
[ROW][C]0.15[/C][C]97.5810681082059[/C][C]0.206330130265831[/C][/ROW]
[ROW][C]0.16[/C][C]97.6342102110887[/C][C]0.184251376271392[/C][/ROW]
[ROW][C]0.17[/C][C]97.679840185134[/C][C]0.17123867807598[/C][/ROW]
[ROW][C]0.18[/C][C]97.7204475888913[/C][C]0.163518216825284[/C][/ROW]
[ROW][C]0.19[/C][C]97.7576850510622[/C][C]0.158611402059995[/C][/ROW]
[ROW][C]0.2[/C][C]97.7925910243301[/C][C]0.155018246781332[/C][/ROW]
[ROW][C]0.21[/C][C]97.825801771146[/C][C]0.152087816511241[/C][/ROW]
[ROW][C]0.22[/C][C]97.8577257156134[/C][C]0.149706812808559[/C][/ROW]
[ROW][C]0.23[/C][C]97.8886706411861[/C][C]0.148210424799733[/C][/ROW]
[ROW][C]0.24[/C][C]97.9189256505489[/C][C]0.147911398879243[/C][/ROW]
[ROW][C]0.25[/C][C]97.9488057407041[/C][C]0.149310288152492[/C][/ROW]
[ROW][C]0.26[/C][C]97.9786689236822[/C][C]0.15287610570392[/C][/ROW]
[ROW][C]0.27[/C][C]98.0089156312118[/C][C]0.15871821525758[/C][/ROW]
[ROW][C]0.28[/C][C]98.0399787523269[/C][C]0.1670661372411[/C][/ROW]
[ROW][C]0.29[/C][C]98.0723106517267[/C][C]0.178010594647633[/C][/ROW]
[ROW][C]0.3[/C][C]98.1063712183559[/C][C]0.191422541445825[/C][/ROW]
[ROW][C]0.31[/C][C]98.1426186439375[/C][C]0.207446192221356[/C][/ROW]
[ROW][C]0.32[/C][C]98.1815025106143[/C][C]0.225946422622485[/C][/ROW]
[ROW][C]0.33[/C][C]98.2234571898784[/C][C]0.246972051602025[/C][/ROW]
[ROW][C]0.34[/C][C]98.2688927987747[/C][C]0.270447581846796[/C][/ROW]
[ROW][C]0.35[/C][C]98.3181811709356[/C][C]0.296185588628898[/C][/ROW]
[ROW][C]0.36[/C][C]98.371635426149[/C][C]0.323753510714081[/C][/ROW]
[ROW][C]0.37[/C][C]98.4294834933621[/C][C]0.352655888313919[/C][/ROW]
[ROW][C]0.38[/C][C]98.4918379207345[/C][C]0.382111127730633[/C][/ROW]
[ROW][C]0.39[/C][C]98.5586659885153[/C][C]0.410864613605119[/C][/ROW]
[ROW][C]0.4[/C][C]98.6297650820371[/C][C]0.43790071867755[/C][/ROW]
[ROW][C]0.41[/C][C]98.7047482133852[/C][C]0.46184441850963[/C][/ROW]
[ROW][C]0.42[/C][C]98.7830434754579[/C][C]0.481464708536732[/C][/ROW]
[ROW][C]0.43[/C][C]98.8639092930001[/C][C]0.495812727390344[/C][/ROW]
[ROW][C]0.44[/C][C]98.9464650101219[/C][C]0.504072014471563[/C][/ROW]
[ROW][C]0.45[/C][C]99.0297341100879[/C][C]0.50596431896499[/C][/ROW]
[ROW][C]0.46[/C][C]99.1126956448686[/C][C]0.501112172794713[/C][/ROW]
[ROW][C]0.47[/C][C]99.1943385571957[/C][C]0.490030042599946[/C][/ROW]
[ROW][C]0.48[/C][C]99.2737136014695[/C][C]0.473251172175529[/C][/ROW]
[ROW][C]0.49[/C][C]99.3499784024877[/C][C]0.451593598433353[/C][/ROW]
[ROW][C]0.5[/C][C]99.4224325690904[/C][C]0.426127563524459[/C][/ROW]
[ROW][C]0.51[/C][C]99.4905413673799[/C][C]0.397842878003615[/C][/ROW]
[ROW][C]0.52[/C][C]99.5539479344303[/C][C]0.367799322560275[/C][/ROW]
[ROW][C]0.53[/C][C]99.6124751435524[/C][C]0.337191496882121[/C][/ROW]
[ROW][C]0.54[/C][C]99.6661189048766[/C][C]0.306914359050435[/C][/ROW]
[ROW][C]0.55[/C][C]99.7150349124919[/C][C]0.277905202954316[/C][/ROW]
[ROW][C]0.56[/C][C]99.7595207362573[/C][C]0.250980562073925[/C][/ROW]
[ROW][C]0.57[/C][C]99.7999948505725[/C][C]0.226856457207504[/C][/ROW]
[ROW][C]0.58[/C][C]99.8369738344129[/C][C]0.205858838099592[/C][/ROW]
[ROW][C]0.59[/C][C]99.8710486620388[/C][C]0.188682390595286[/C][/ROW]
[ROW][C]0.6[/C][C]99.9028607660245[/C][C]0.175512103285864[/C][/ROW]
[ROW][C]0.61[/C][C]99.9330783745803[/C][C]0.166578921054159[/C][/ROW]
[ROW][C]0.62[/C][C]99.9623734587149[/C][C]0.161704516458123[/C][/ROW]
[ROW][C]0.63[/C][C]99.9913994365733[/C][C]0.160763264926138[/C][/ROW]
[ROW][C]0.64[/C][C]100.020769577715[/C][C]0.163441459494645[/C][/ROW]
[ROW][C]0.65[/C][C]100.051035888023[/C][C]0.169193782573249[/C][/ROW]
[ROW][C]0.66[/C][C]100.082668236523[/C][C]0.17737224108497[/C][/ROW]
[ROW][C]0.67[/C][C]100.1160337133[/C][C]0.187263145801719[/C][/ROW]
[ROW][C]0.68[/C][C]100.151376740356[/C][C]0.198210888598975[/C][/ROW]
[ROW][C]0.69[/C][C]100.18880125591[/C][C]0.20921190164631[/C][/ROW]
[ROW][C]0.7[/C][C]100.228257195738[/C][C]0.219398691976641[/C][/ROW]
[ROW][C]0.71[/C][C]100.269534231622[/C][C]0.227939367580816[/C][/ROW]
[ROW][C]0.72[/C][C]100.31226597384[/C][C]0.233906932752912[/C][/ROW]
[ROW][C]0.73[/C][C]100.355947320872[/C][C]0.236570092859161[/C][/ROW]
[ROW][C]0.74[/C][C]100.399966212141[/C][C]0.235488216410171[/C][/ROW]
[ROW][C]0.75[/C][C]100.443648808828[/C][C]0.230420047851125[/C][/ROW]
[ROW][C]0.76[/C][C]100.486314459527[/C][C]0.221400912314855[/C][/ROW]
[ROW][C]0.77[/C][C]100.527334291901[/C][C]0.20894269251255[/C][/ROW]
[ROW][C]0.78[/C][C]100.566185604485[/C][C]0.193836570345256[/C][/ROW]
[ROW][C]0.79[/C][C]100.602494040228[/C][C]0.177019191221528[/C][/ROW]
[ROW][C]0.8[/C][C]100.636057165554[/C][C]0.159544999243693[/C][/ROW]
[ROW][C]0.81[/C][C]100.666846482694[/C][C]0.142373457329515[/C][/ROW]
[ROW][C]0.82[/C][C]100.694989476627[/C][C]0.126474182965174[/C][/ROW]
[ROW][C]0.83[/C][C]100.720737966823[/C][C]0.112419870472587[/C][/ROW]
[ROW][C]0.84[/C][C]100.744432431151[/C][C]0.100449840689339[/C][/ROW]
[ROW][C]0.85[/C][C]100.766472773786[/C][C]0.0905593443438027[/C][/ROW]
[ROW][C]0.86[/C][C]100.787303393327[/C][C]0.0827242152415002[/C][/ROW]
[ROW][C]0.87[/C][C]100.807414498215[/C][C]0.0768286841681258[/C][/ROW]
[ROW][C]0.88[/C][C]100.827353806876[/C][C]0.0729254367863313[/C][/ROW]
[ROW][C]0.89[/C][C]100.847735634042[/C][C]0.0712259295073228[/C][/ROW]
[ROW][C]0.9[/C][C]100.869230888313[/C][C]0.071883830838659[/C][/ROW]
[ROW][C]0.91[/C][C]100.892523506341[/C][C]0.0747495334182064[/C][/ROW]
[ROW][C]0.92[/C][C]100.918225151889[/C][C]0.0791265485247159[/C][/ROW]
[ROW][C]0.93[/C][C]100.946746202385[/C][C]0.0839155012505337[/C][/ROW]
[ROW][C]0.94[/C][C]100.978123378191[/C][C]0.0876440911378962[/C][/ROW]
[ROW][C]0.95[/C][C]101.011807813625[/C][C]0.0886473260875201[/C][/ROW]
[ROW][C]0.96[/C][C]101.046440382793[/C][C]0.0850095234770293[/C][/ROW]
[ROW][C]0.97[/C][C]101.079703785461[/C][C]0.0745849547055138[/C][/ROW]
[ROW][C]0.98[/C][C]101.108436174322[/C][C]0.0564773439536858[/C][/ROW]
[ROW][C]0.99[/C][C]101.12926749451[/C][C]0.0345081337514877[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293240&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293240&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
0.0193.19820300521551.19616205388288
0.0293.73505101544811.23195117529618
0.0394.34250226315681.24146599863579
0.0494.92858480813211.19571504273599
0.0595.45056672859271.10915686302464
0.0695.89751030355521.00558042854404
0.0796.27264848943740.896406628154661
0.0896.58348477984480.783702154913006
0.0996.83791392009210.668906832777574
0.197.04337433703040.556487634115643
0.1197.20702492619720.452858907987325
0.1297.33595092295890.364011780184161
0.1397.43708481677120.293355718600018
0.1497.51690103496220.241478703713161
0.1597.58106810820590.206330130265831
0.1697.63421021108870.184251376271392
0.1797.6798401851340.17123867807598
0.1897.72044758889130.163518216825284
0.1997.75768505106220.158611402059995
0.297.79259102433010.155018246781332
0.2197.8258017711460.152087816511241
0.2297.85772571561340.149706812808559
0.2397.88867064118610.148210424799733
0.2497.91892565054890.147911398879243
0.2597.94880574070410.149310288152492
0.2697.97866892368220.15287610570392
0.2798.00891563121180.15871821525758
0.2898.03997875232690.1670661372411
0.2998.07231065172670.178010594647633
0.398.10637121835590.191422541445825
0.3198.14261864393750.207446192221356
0.3298.18150251061430.225946422622485
0.3398.22345718987840.246972051602025
0.3498.26889279877470.270447581846796
0.3598.31818117093560.296185588628898
0.3698.3716354261490.323753510714081
0.3798.42948349336210.352655888313919
0.3898.49183792073450.382111127730633
0.3998.55866598851530.410864613605119
0.498.62976508203710.43790071867755
0.4198.70474821338520.46184441850963
0.4298.78304347545790.481464708536732
0.4398.86390929300010.495812727390344
0.4498.94646501012190.504072014471563
0.4599.02973411008790.50596431896499
0.4699.11269564486860.501112172794713
0.4799.19433855719570.490030042599946
0.4899.27371360146950.473251172175529
0.4999.34997840248770.451593598433353
0.599.42243256909040.426127563524459
0.5199.49054136737990.397842878003615
0.5299.55394793443030.367799322560275
0.5399.61247514355240.337191496882121
0.5499.66611890487660.306914359050435
0.5599.71503491249190.277905202954316
0.5699.75952073625730.250980562073925
0.5799.79999485057250.226856457207504
0.5899.83697383441290.205858838099592
0.5999.87104866203880.188682390595286
0.699.90286076602450.175512103285864
0.6199.93307837458030.166578921054159
0.6299.96237345871490.161704516458123
0.6399.99139943657330.160763264926138
0.64100.0207695777150.163441459494645
0.65100.0510358880230.169193782573249
0.66100.0826682365230.17737224108497
0.67100.11603371330.187263145801719
0.68100.1513767403560.198210888598975
0.69100.188801255910.20921190164631
0.7100.2282571957380.219398691976641
0.71100.2695342316220.227939367580816
0.72100.312265973840.233906932752912
0.73100.3559473208720.236570092859161
0.74100.3999662121410.235488216410171
0.75100.4436488088280.230420047851125
0.76100.4863144595270.221400912314855
0.77100.5273342919010.20894269251255
0.78100.5661856044850.193836570345256
0.79100.6024940402280.177019191221528
0.8100.6360571655540.159544999243693
0.81100.6668464826940.142373457329515
0.82100.6949894766270.126474182965174
0.83100.7207379668230.112419870472587
0.84100.7444324311510.100449840689339
0.85100.7664727737860.0905593443438027
0.86100.7873033933270.0827242152415002
0.87100.8074144982150.0768286841681258
0.88100.8273538068760.0729254367863313
0.89100.8477356340420.0712259295073228
0.9100.8692308883130.071883830838659
0.91100.8925235063410.0747495334182064
0.92100.9182251518890.0791265485247159
0.93100.9467462023850.0839155012505337
0.94100.9781233781910.0876440911378962
0.95101.0118078136250.0886473260875201
0.96101.0464403827930.0850095234770293
0.97101.0797037854610.0745849547055138
0.98101.1084361743220.0564773439536858
0.99101.129267494510.0345081337514877


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')