FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 06 Jan 2008 08:54:29 -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/2008/Jan/06/t1199634813zxyljxxfxn0ai8k.htm/, Retrieved Tue, 10 Feb 2026 19:29:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7823, Retrieved Tue, 10 Feb 2026 19:29:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsInvestigating associations werkgelegenheid Q7
Estimated Impact560

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [WS2 - Robustness ...] [2007-10-20 13:06:37] [5343e105a400b9e32bf6f011133bbaf4]
- RM D    [Harrell-Davis Quantiles] [CVWS1EAQ7] [2008-01-06 15:54:29] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
87,3
97,6
107,1
96,1
109,5
105,0
83,9
89,2
107,0
113,6
108,1
91,9
104,9
99,2
104,3
104,0
101,5
105,4
88,7
83,6
98,0
108,9
92,8
82,0
101,3
106,3
94,0
102,8
102,0
105,1
92,4
81,4
105,8
120,3
100,7
88,8
94,3
99,9
103,4
103,3
98,8
104,2
91,2
74,7
108,5
114,5
96,9
89,6
97,1
100,3
122,6
115,4
109,0
129,1
102,8
96,2
127,7
128,9
126,5
119,8
113,2
114,1
134,1
130,0
121,8
132,1
105,3
103,0
117,1
126,3
138,1
119,5
138,0
135,5
178,6
162,2
176,9
204,9
132,2
142,5
164,3
174,9
175,4
143,0
158,7
155,4
176,6
163,3
178,9
182,7

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=7823&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=7823&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7823&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
0.02581.03455147499552.44089074387203
0.03582.82493120172962.26033691486264
0.04584.208963954752.46095467042016
0.05585.43788894008522.57718426701692
0.06586.57330245052742.50981007038924
0.07587.60156220793662.32900426002646
0.08588.51359769636262.15064888561039
0.09589.32482659100762.05209407311537
0.10590.0653996875832.04222435988484
0.11590.7652564585582.08756754743842
0.12591.44524421713632.15140373302991
0.13592.1156194322882.21032337657014
0.14592.77870570701162.25343939541787
0.15593.43234695405282.27565738953189
0.16594.07250659179062.27474807567870
0.17594.69485174969142.25122036062663
0.18595.2957204071882.20871081380509
0.19595.87276519236822.15477148313426
0.20596.42530671454842.09762448580834
0.21596.95431667035752.04537076054655
0.22597.46201922774712.00257497048083
0.23597.95123476971711.97021141315734
0.24598.4246761704961.94497785833647
0.25598.8843973819661.92266924563643
0.26599.33150956741161.89825627276335
0.27599.76617506189551.86834235736822
0.285100.1878106834021.83020701664835
0.295100.5953994057091.78350907285915
0.305100.9878175106951.72918395198818
0.315101.3641141575311.66846021935351
0.325101.7237130246471.60407365026727
0.335102.0665303894431.53856772024851
0.345102.3930186084091.47482896675045
0.355102.7041515081851.41532028840395
0.365103.0013723294971.36251115415334
0.375103.2865269803651.31829300904220
0.385103.5618044950231.28425659636139
0.395103.8297012208911.26166528649214
0.405104.0930153130941.25236934989551
0.415104.3548659817861.25816182585513
0.425104.6187217068501.28105127381168
0.435104.8884172049491.32377256209521
0.445105.1681419822981.38789005352523
0.455105.4623922723481.47484767345057
0.465105.7758888166691.58577145521552
0.475106.1134703659281.72008689841274
0.485106.4799737458171.87781713554022
0.495106.8801060893532.05721048017211
0.505107.3183071659802.25684461641830
0.515107.7985952274712.47439700221681
0.525108.324392949172.70612901387955
0.535108.8983416241042.94745556721309
0.545109.5221277037193.19260468933157
0.555110.1963585132483.43520674317268
0.565110.9205257509463.66890396363061
0.575111.6930820844883.88836196398575
0.585112.5116297384044.08968299903337
0.595113.3731882382584.27096683076131
0.605114.2744822561124.43216176878167
0.615115.2121794833124.57414391354485
0.625116.1830177745164.69827249938271
0.635117.1837896458024.80521812145794
0.645118.2111945410054.89473044985056
0.655119.2616156855574.96458370105845
0.665120.330917787585.01156255724846
0.675121.4143831366835.03200746327328
0.685122.5068974321775.02326899588451
0.695123.6034587068774.98544913062162
0.705124.7000179327344.92340137849805
0.715125.7945846353024.84709877576481
0.725126.8884698230104.77335982253373
0.735127.9875148125624.7239932527989
0.745129.1031748205744.72455817079992
0.755130.2533687949634.80227639648702
0.765131.4630223543434.98468816699756
0.775132.7641630158255.29664161410679
0.785134.1952562391515.75882010253108
0.795135.7992617830726.38149138320954
0.805137.6198136274457.15687587214639
0.815139.6952140294758.0483701209881
0.825142.0507306830278.9857751133385
0.835144.6908544179749.86783536686534
0.845147.59414627972110.5798189389296
0.855150.71321581186311.0214671579784
0.865153.98060591082511.1368335978811
0.875157.31830552246710.9291733562419
0.885160.64608408105110.4471355384944
0.895163.8843419751059.74511547588605
0.905166.9518314826008.84396611396597
0.915169.7651353974337.73420948841513
0.925172.2501203433646.43159742991282
0.935174.3730511984085.04316757215048
0.945176.1979825239653.79354391194184
0.955177.9943950971323.04728183858659
0.965180.4422727977983.49113932602979
0.975184.8325066848786.20099911139596

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.025 & 81.0345514749955 & 2.44089074387203 \tabularnewline
0.035 & 82.8249312017296 & 2.26033691486264 \tabularnewline
0.045 & 84.20896395475 & 2.46095467042016 \tabularnewline
0.055 & 85.4378889400852 & 2.57718426701692 \tabularnewline
0.065 & 86.5733024505274 & 2.50981007038924 \tabularnewline
0.075 & 87.6015622079366 & 2.32900426002646 \tabularnewline
0.085 & 88.5135976963626 & 2.15064888561039 \tabularnewline
0.095 & 89.3248265910076 & 2.05209407311537 \tabularnewline
0.105 & 90.065399687583 & 2.04222435988484 \tabularnewline
0.115 & 90.765256458558 & 2.08756754743842 \tabularnewline
0.125 & 91.4452442171363 & 2.15140373302991 \tabularnewline
0.135 & 92.115619432288 & 2.21032337657014 \tabularnewline
0.145 & 92.7787057070116 & 2.25343939541787 \tabularnewline
0.155 & 93.4323469540528 & 2.27565738953189 \tabularnewline
0.165 & 94.0725065917906 & 2.27474807567870 \tabularnewline
0.175 & 94.6948517496914 & 2.25122036062663 \tabularnewline
0.185 & 95.295720407188 & 2.20871081380509 \tabularnewline
0.195 & 95.8727651923682 & 2.15477148313426 \tabularnewline
0.205 & 96.4253067145484 & 2.09762448580834 \tabularnewline
0.215 & 96.9543166703575 & 2.04537076054655 \tabularnewline
0.225 & 97.4620192277471 & 2.00257497048083 \tabularnewline
0.235 & 97.9512347697171 & 1.97021141315734 \tabularnewline
0.245 & 98.424676170496 & 1.94497785833647 \tabularnewline
0.255 & 98.884397381966 & 1.92266924563643 \tabularnewline
0.265 & 99.3315095674116 & 1.89825627276335 \tabularnewline
0.275 & 99.7661750618955 & 1.86834235736822 \tabularnewline
0.285 & 100.187810683402 & 1.83020701664835 \tabularnewline
0.295 & 100.595399405709 & 1.78350907285915 \tabularnewline
0.305 & 100.987817510695 & 1.72918395198818 \tabularnewline
0.315 & 101.364114157531 & 1.66846021935351 \tabularnewline
0.325 & 101.723713024647 & 1.60407365026727 \tabularnewline
0.335 & 102.066530389443 & 1.53856772024851 \tabularnewline
0.345 & 102.393018608409 & 1.47482896675045 \tabularnewline
0.355 & 102.704151508185 & 1.41532028840395 \tabularnewline
0.365 & 103.001372329497 & 1.36251115415334 \tabularnewline
0.375 & 103.286526980365 & 1.31829300904220 \tabularnewline
0.385 & 103.561804495023 & 1.28425659636139 \tabularnewline
0.395 & 103.829701220891 & 1.26166528649214 \tabularnewline
0.405 & 104.093015313094 & 1.25236934989551 \tabularnewline
0.415 & 104.354865981786 & 1.25816182585513 \tabularnewline
0.425 & 104.618721706850 & 1.28105127381168 \tabularnewline
0.435 & 104.888417204949 & 1.32377256209521 \tabularnewline
0.445 & 105.168141982298 & 1.38789005352523 \tabularnewline
0.455 & 105.462392272348 & 1.47484767345057 \tabularnewline
0.465 & 105.775888816669 & 1.58577145521552 \tabularnewline
0.475 & 106.113470365928 & 1.72008689841274 \tabularnewline
0.485 & 106.479973745817 & 1.87781713554022 \tabularnewline
0.495 & 106.880106089353 & 2.05721048017211 \tabularnewline
0.505 & 107.318307165980 & 2.25684461641830 \tabularnewline
0.515 & 107.798595227471 & 2.47439700221681 \tabularnewline
0.525 & 108.32439294917 & 2.70612901387955 \tabularnewline
0.535 & 108.898341624104 & 2.94745556721309 \tabularnewline
0.545 & 109.522127703719 & 3.19260468933157 \tabularnewline
0.555 & 110.196358513248 & 3.43520674317268 \tabularnewline
0.565 & 110.920525750946 & 3.66890396363061 \tabularnewline
0.575 & 111.693082084488 & 3.88836196398575 \tabularnewline
0.585 & 112.511629738404 & 4.08968299903337 \tabularnewline
0.595 & 113.373188238258 & 4.27096683076131 \tabularnewline
0.605 & 114.274482256112 & 4.43216176878167 \tabularnewline
0.615 & 115.212179483312 & 4.57414391354485 \tabularnewline
0.625 & 116.183017774516 & 4.69827249938271 \tabularnewline
0.635 & 117.183789645802 & 4.80521812145794 \tabularnewline
0.645 & 118.211194541005 & 4.89473044985056 \tabularnewline
0.655 & 119.261615685557 & 4.96458370105845 \tabularnewline
0.665 & 120.33091778758 & 5.01156255724846 \tabularnewline
0.675 & 121.414383136683 & 5.03200746327328 \tabularnewline
0.685 & 122.506897432177 & 5.02326899588451 \tabularnewline
0.695 & 123.603458706877 & 4.98544913062162 \tabularnewline
0.705 & 124.700017932734 & 4.92340137849805 \tabularnewline
0.715 & 125.794584635302 & 4.84709877576481 \tabularnewline
0.725 & 126.888469823010 & 4.77335982253373 \tabularnewline
0.735 & 127.987514812562 & 4.7239932527989 \tabularnewline
0.745 & 129.103174820574 & 4.72455817079992 \tabularnewline
0.755 & 130.253368794963 & 4.80227639648702 \tabularnewline
0.765 & 131.463022354343 & 4.98468816699756 \tabularnewline
0.775 & 132.764163015825 & 5.29664161410679 \tabularnewline
0.785 & 134.195256239151 & 5.75882010253108 \tabularnewline
0.795 & 135.799261783072 & 6.38149138320954 \tabularnewline
0.805 & 137.619813627445 & 7.15687587214639 \tabularnewline
0.815 & 139.695214029475 & 8.0483701209881 \tabularnewline
0.825 & 142.050730683027 & 8.9857751133385 \tabularnewline
0.835 & 144.690854417974 & 9.86783536686534 \tabularnewline
0.845 & 147.594146279721 & 10.5798189389296 \tabularnewline
0.855 & 150.713215811863 & 11.0214671579784 \tabularnewline
0.865 & 153.980605910825 & 11.1368335978811 \tabularnewline
0.875 & 157.318305522467 & 10.9291733562419 \tabularnewline
0.885 & 160.646084081051 & 10.4471355384944 \tabularnewline
0.895 & 163.884341975105 & 9.74511547588605 \tabularnewline
0.905 & 166.951831482600 & 8.84396611396597 \tabularnewline
0.915 & 169.765135397433 & 7.73420948841513 \tabularnewline
0.925 & 172.250120343364 & 6.43159742991282 \tabularnewline
0.935 & 174.373051198408 & 5.04316757215048 \tabularnewline
0.945 & 176.197982523965 & 3.79354391194184 \tabularnewline
0.955 & 177.994395097132 & 3.04728183858659 \tabularnewline
0.965 & 180.442272797798 & 3.49113932602979 \tabularnewline
0.975 & 184.832506684878 & 6.20099911139596 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7823&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.025[/C][C]81.0345514749955[/C][C]2.44089074387203[/C][/ROW]
[ROW][C]0.035[/C][C]82.8249312017296[/C][C]2.26033691486264[/C][/ROW]
[ROW][C]0.045[/C][C]84.20896395475[/C][C]2.46095467042016[/C][/ROW]
[ROW][C]0.055[/C][C]85.4378889400852[/C][C]2.57718426701692[/C][/ROW]
[ROW][C]0.065[/C][C]86.5733024505274[/C][C]2.50981007038924[/C][/ROW]
[ROW][C]0.075[/C][C]87.6015622079366[/C][C]2.32900426002646[/C][/ROW]
[ROW][C]0.085[/C][C]88.5135976963626[/C][C]2.15064888561039[/C][/ROW]
[ROW][C]0.095[/C][C]89.3248265910076[/C][C]2.05209407311537[/C][/ROW]
[ROW][C]0.105[/C][C]90.065399687583[/C][C]2.04222435988484[/C][/ROW]
[ROW][C]0.115[/C][C]90.765256458558[/C][C]2.08756754743842[/C][/ROW]
[ROW][C]0.125[/C][C]91.4452442171363[/C][C]2.15140373302991[/C][/ROW]
[ROW][C]0.135[/C][C]92.115619432288[/C][C]2.21032337657014[/C][/ROW]
[ROW][C]0.145[/C][C]92.7787057070116[/C][C]2.25343939541787[/C][/ROW]
[ROW][C]0.155[/C][C]93.4323469540528[/C][C]2.27565738953189[/C][/ROW]
[ROW][C]0.165[/C][C]94.0725065917906[/C][C]2.27474807567870[/C][/ROW]
[ROW][C]0.175[/C][C]94.6948517496914[/C][C]2.25122036062663[/C][/ROW]
[ROW][C]0.185[/C][C]95.295720407188[/C][C]2.20871081380509[/C][/ROW]
[ROW][C]0.195[/C][C]95.8727651923682[/C][C]2.15477148313426[/C][/ROW]
[ROW][C]0.205[/C][C]96.4253067145484[/C][C]2.09762448580834[/C][/ROW]
[ROW][C]0.215[/C][C]96.9543166703575[/C][C]2.04537076054655[/C][/ROW]
[ROW][C]0.225[/C][C]97.4620192277471[/C][C]2.00257497048083[/C][/ROW]
[ROW][C]0.235[/C][C]97.9512347697171[/C][C]1.97021141315734[/C][/ROW]
[ROW][C]0.245[/C][C]98.424676170496[/C][C]1.94497785833647[/C][/ROW]
[ROW][C]0.255[/C][C]98.884397381966[/C][C]1.92266924563643[/C][/ROW]
[ROW][C]0.265[/C][C]99.3315095674116[/C][C]1.89825627276335[/C][/ROW]
[ROW][C]0.275[/C][C]99.7661750618955[/C][C]1.86834235736822[/C][/ROW]
[ROW][C]0.285[/C][C]100.187810683402[/C][C]1.83020701664835[/C][/ROW]
[ROW][C]0.295[/C][C]100.595399405709[/C][C]1.78350907285915[/C][/ROW]
[ROW][C]0.305[/C][C]100.987817510695[/C][C]1.72918395198818[/C][/ROW]
[ROW][C]0.315[/C][C]101.364114157531[/C][C]1.66846021935351[/C][/ROW]
[ROW][C]0.325[/C][C]101.723713024647[/C][C]1.60407365026727[/C][/ROW]
[ROW][C]0.335[/C][C]102.066530389443[/C][C]1.53856772024851[/C][/ROW]
[ROW][C]0.345[/C][C]102.393018608409[/C][C]1.47482896675045[/C][/ROW]
[ROW][C]0.355[/C][C]102.704151508185[/C][C]1.41532028840395[/C][/ROW]
[ROW][C]0.365[/C][C]103.001372329497[/C][C]1.36251115415334[/C][/ROW]
[ROW][C]0.375[/C][C]103.286526980365[/C][C]1.31829300904220[/C][/ROW]
[ROW][C]0.385[/C][C]103.561804495023[/C][C]1.28425659636139[/C][/ROW]
[ROW][C]0.395[/C][C]103.829701220891[/C][C]1.26166528649214[/C][/ROW]
[ROW][C]0.405[/C][C]104.093015313094[/C][C]1.25236934989551[/C][/ROW]
[ROW][C]0.415[/C][C]104.354865981786[/C][C]1.25816182585513[/C][/ROW]
[ROW][C]0.425[/C][C]104.618721706850[/C][C]1.28105127381168[/C][/ROW]
[ROW][C]0.435[/C][C]104.888417204949[/C][C]1.32377256209521[/C][/ROW]
[ROW][C]0.445[/C][C]105.168141982298[/C][C]1.38789005352523[/C][/ROW]
[ROW][C]0.455[/C][C]105.462392272348[/C][C]1.47484767345057[/C][/ROW]
[ROW][C]0.465[/C][C]105.775888816669[/C][C]1.58577145521552[/C][/ROW]
[ROW][C]0.475[/C][C]106.113470365928[/C][C]1.72008689841274[/C][/ROW]
[ROW][C]0.485[/C][C]106.479973745817[/C][C]1.87781713554022[/C][/ROW]
[ROW][C]0.495[/C][C]106.880106089353[/C][C]2.05721048017211[/C][/ROW]
[ROW][C]0.505[/C][C]107.318307165980[/C][C]2.25684461641830[/C][/ROW]
[ROW][C]0.515[/C][C]107.798595227471[/C][C]2.47439700221681[/C][/ROW]
[ROW][C]0.525[/C][C]108.32439294917[/C][C]2.70612901387955[/C][/ROW]
[ROW][C]0.535[/C][C]108.898341624104[/C][C]2.94745556721309[/C][/ROW]
[ROW][C]0.545[/C][C]109.522127703719[/C][C]3.19260468933157[/C][/ROW]
[ROW][C]0.555[/C][C]110.196358513248[/C][C]3.43520674317268[/C][/ROW]
[ROW][C]0.565[/C][C]110.920525750946[/C][C]3.66890396363061[/C][/ROW]
[ROW][C]0.575[/C][C]111.693082084488[/C][C]3.88836196398575[/C][/ROW]
[ROW][C]0.585[/C][C]112.511629738404[/C][C]4.08968299903337[/C][/ROW]
[ROW][C]0.595[/C][C]113.373188238258[/C][C]4.27096683076131[/C][/ROW]
[ROW][C]0.605[/C][C]114.274482256112[/C][C]4.43216176878167[/C][/ROW]
[ROW][C]0.615[/C][C]115.212179483312[/C][C]4.57414391354485[/C][/ROW]
[ROW][C]0.625[/C][C]116.183017774516[/C][C]4.69827249938271[/C][/ROW]
[ROW][C]0.635[/C][C]117.183789645802[/C][C]4.80521812145794[/C][/ROW]
[ROW][C]0.645[/C][C]118.211194541005[/C][C]4.89473044985056[/C][/ROW]
[ROW][C]0.655[/C][C]119.261615685557[/C][C]4.96458370105845[/C][/ROW]
[ROW][C]0.665[/C][C]120.33091778758[/C][C]5.01156255724846[/C][/ROW]
[ROW][C]0.675[/C][C]121.414383136683[/C][C]5.03200746327328[/C][/ROW]
[ROW][C]0.685[/C][C]122.506897432177[/C][C]5.02326899588451[/C][/ROW]
[ROW][C]0.695[/C][C]123.603458706877[/C][C]4.98544913062162[/C][/ROW]
[ROW][C]0.705[/C][C]124.700017932734[/C][C]4.92340137849805[/C][/ROW]
[ROW][C]0.715[/C][C]125.794584635302[/C][C]4.84709877576481[/C][/ROW]
[ROW][C]0.725[/C][C]126.888469823010[/C][C]4.77335982253373[/C][/ROW]
[ROW][C]0.735[/C][C]127.987514812562[/C][C]4.7239932527989[/C][/ROW]
[ROW][C]0.745[/C][C]129.103174820574[/C][C]4.72455817079992[/C][/ROW]
[ROW][C]0.755[/C][C]130.253368794963[/C][C]4.80227639648702[/C][/ROW]
[ROW][C]0.765[/C][C]131.463022354343[/C][C]4.98468816699756[/C][/ROW]
[ROW][C]0.775[/C][C]132.764163015825[/C][C]5.29664161410679[/C][/ROW]
[ROW][C]0.785[/C][C]134.195256239151[/C][C]5.75882010253108[/C][/ROW]
[ROW][C]0.795[/C][C]135.799261783072[/C][C]6.38149138320954[/C][/ROW]
[ROW][C]0.805[/C][C]137.619813627445[/C][C]7.15687587214639[/C][/ROW]
[ROW][C]0.815[/C][C]139.695214029475[/C][C]8.0483701209881[/C][/ROW]
[ROW][C]0.825[/C][C]142.050730683027[/C][C]8.9857751133385[/C][/ROW]
[ROW][C]0.835[/C][C]144.690854417974[/C][C]9.86783536686534[/C][/ROW]
[ROW][C]0.845[/C][C]147.594146279721[/C][C]10.5798189389296[/C][/ROW]
[ROW][C]0.855[/C][C]150.713215811863[/C][C]11.0214671579784[/C][/ROW]
[ROW][C]0.865[/C][C]153.980605910825[/C][C]11.1368335978811[/C][/ROW]
[ROW][C]0.875[/C][C]157.318305522467[/C][C]10.9291733562419[/C][/ROW]
[ROW][C]0.885[/C][C]160.646084081051[/C][C]10.4471355384944[/C][/ROW]
[ROW][C]0.895[/C][C]163.884341975105[/C][C]9.74511547588605[/C][/ROW]
[ROW][C]0.905[/C][C]166.951831482600[/C][C]8.84396611396597[/C][/ROW]
[ROW][C]0.915[/C][C]169.765135397433[/C][C]7.73420948841513[/C][/ROW]
[ROW][C]0.925[/C][C]172.250120343364[/C][C]6.43159742991282[/C][/ROW]
[ROW][C]0.935[/C][C]174.373051198408[/C][C]5.04316757215048[/C][/ROW]
[ROW][C]0.945[/C][C]176.197982523965[/C][C]3.79354391194184[/C][/ROW]
[ROW][C]0.955[/C][C]177.994395097132[/C][C]3.04728183858659[/C][/ROW]
[ROW][C]0.965[/C][C]180.442272797798[/C][C]3.49113932602979[/C][/ROW]
[ROW][C]0.975[/C][C]184.832506684878[/C][C]6.20099911139596[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7823&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7823&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
0.02581.03455147499552.44089074387203
0.03582.82493120172962.26033691486264
0.04584.208963954752.46095467042016
0.05585.43788894008522.57718426701692
0.06586.57330245052742.50981007038924
0.07587.60156220793662.32900426002646
0.08588.51359769636262.15064888561039
0.09589.32482659100762.05209407311537
0.10590.0653996875832.04222435988484
0.11590.7652564585582.08756754743842
0.12591.44524421713632.15140373302991
0.13592.1156194322882.21032337657014
0.14592.77870570701162.25343939541787
0.15593.43234695405282.27565738953189
0.16594.07250659179062.27474807567870
0.17594.69485174969142.25122036062663
0.18595.2957204071882.20871081380509
0.19595.87276519236822.15477148313426
0.20596.42530671454842.09762448580834
0.21596.95431667035752.04537076054655
0.22597.46201922774712.00257497048083
0.23597.95123476971711.97021141315734
0.24598.4246761704961.94497785833647
0.25598.8843973819661.92266924563643
0.26599.33150956741161.89825627276335
0.27599.76617506189551.86834235736822
0.285100.1878106834021.83020701664835
0.295100.5953994057091.78350907285915
0.305100.9878175106951.72918395198818
0.315101.3641141575311.66846021935351
0.325101.7237130246471.60407365026727
0.335102.0665303894431.53856772024851
0.345102.3930186084091.47482896675045
0.355102.7041515081851.41532028840395
0.365103.0013723294971.36251115415334
0.375103.2865269803651.31829300904220
0.385103.5618044950231.28425659636139
0.395103.8297012208911.26166528649214
0.405104.0930153130941.25236934989551
0.415104.3548659817861.25816182585513
0.425104.6187217068501.28105127381168
0.435104.8884172049491.32377256209521
0.445105.1681419822981.38789005352523
0.455105.4623922723481.47484767345057
0.465105.7758888166691.58577145521552
0.475106.1134703659281.72008689841274
0.485106.4799737458171.87781713554022
0.495106.8801060893532.05721048017211
0.505107.3183071659802.25684461641830
0.515107.7985952274712.47439700221681
0.525108.324392949172.70612901387955
0.535108.8983416241042.94745556721309
0.545109.5221277037193.19260468933157
0.555110.1963585132483.43520674317268
0.565110.9205257509463.66890396363061
0.575111.6930820844883.88836196398575
0.585112.5116297384044.08968299903337
0.595113.3731882382584.27096683076131
0.605114.2744822561124.43216176878167
0.615115.2121794833124.57414391354485
0.625116.1830177745164.69827249938271
0.635117.1837896458024.80521812145794
0.645118.2111945410054.89473044985056
0.655119.2616156855574.96458370105845
0.665120.330917787585.01156255724846
0.675121.4143831366835.03200746327328
0.685122.5068974321775.02326899588451
0.695123.6034587068774.98544913062162
0.705124.7000179327344.92340137849805
0.715125.7945846353024.84709877576481
0.725126.8884698230104.77335982253373
0.735127.9875148125624.7239932527989
0.745129.1031748205744.72455817079992
0.755130.2533687949634.80227639648702
0.765131.4630223543434.98468816699756
0.775132.7641630158255.29664161410679
0.785134.1952562391515.75882010253108
0.795135.7992617830726.38149138320954
0.805137.6198136274457.15687587214639
0.815139.6952140294758.0483701209881
0.825142.0507306830278.9857751133385
0.835144.6908544179749.86783536686534
0.845147.59414627972110.5798189389296
0.855150.71321581186311.0214671579784
0.865153.98060591082511.1368335978811
0.875157.31830552246710.9291733562419
0.885160.64608408105110.4471355384944
0.895163.8843419751059.74511547588605
0.905166.9518314826008.84396611396597
0.915169.7651353974337.73420948841513
0.925172.2501203433646.43159742991282
0.935174.3730511984085.04316757215048
0.945176.1979825239653.79354391194184
0.955177.9943950971323.04728183858659
0.965180.4422727977983.49113932602979
0.975184.8325066848786.20099911139596


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.025 ; par2 = 0.975 ; 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')