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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 19 Oct 2008 09:51:35 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/19/t1224431561lt5sqne6i5fbrth.htm/, Retrieved Wed, 29 May 2024 04:50:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16927, Retrieved Wed, 29 May 2024 04:50:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130

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] [harrel davis deci...] [2008-10-19 15:51:35] [5a908f428dae694075b2a25ba39af7a8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
93,4
98,5
100,8
102,3
104,7
101,1
101,4
99,5
98,4
96,3
100,7
101,2
100,3
97,8
97,4
98,6
99,7
99
98,1
97
98,5
103,8
114,4
124,5
134,2
131,8
125,6
119,9
114,9
115,5
112,5
111,4
115,3
110,8
103,7
111,1
113
111,2
117,6
121,7
127,3
129,8
137,1
141,4
137,4
130,7
117,2
110,8
111,4
108,2
108,8
110,2
109,5
109,5
116
111,2
112,1
114
119,1
114,1
115,1
115,4
110,8
116
119,2
126,5
127,8
131,3
140,3
137,3
143
134,5
139,9
159,3
170,4
175
175,8
180,9
180,3
169,6
172,3
184,8
177,7
184,6
211,4
215,3
215,9
244,7
259,3
289
310,9
321
315,1
333,2
314,1
284,7
273,9

Tables (Output of Computation)





Summary of computational 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 computational 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=16927&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]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=16927&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16927&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0194.55300914157872.06914218654398
0.0295.8982513036141.23708068183798
0.0396.81835233918230.807788063500321
0.0497.37782237377080.642653794319946
0.0597.75347783418430.56677709121393
0.0698.04251996093470.524324587433538
0.0798.28853078081450.51876330717788
0.0898.5172221452370.561264392016129
0.0998.74825147019390.646764823046335
0.198.9957130681350.756158860273702
0.1199.26710626103680.869764132834338
0.1299.56432144081620.977228732063291
0.1399.88665718463021.08169397877574
0.14100.2344094246981.19794511988169
0.15100.6114638583721.34711134386246
0.16101.0259531282981.54630409543047
0.17101.4888661665631.80130403691254
0.18102.0111726588102.10167217405637
0.19102.6004047930322.42351483039447
0.2103.2577028360832.73328776698793
0.21103.9761296530602.99449448922788
0.22104.7406796741383.17534055821079
0.23105.5299601780223.25353495193182
0.24106.3191213562463.22108507750003
0.25107.0833516633863.08517454208795
0.26107.8011897200852.86559620285203
0.27108.4570302439902.59115215152206
0.28109.0424612710372.29390286116374
0.29109.556372377562.00468757265181
0.3110.0040288155581.74892967473190
0.31110.3954569436561.54533646657706
0.32110.7435213499621.40409669799109
0.33111.0620222431181.32675004916183
0.34111.3640490136851.30672316150045
0.35111.6607324447001.33122044139155
0.36111.9604646654281.38456117253139
0.37112.2686037763951.45116635518721
0.38112.5876395584471.51803229446696
0.39112.9177582925621.57619685323742
0.4113.2577058611221.62193188473521
0.41113.6058141359701.65610728895859
0.42113.9610352975951.68563223749917
0.43114.3238298929241.72065611001357
0.44114.6967794527971.77418135966559
0.45115.0848391434961.85948260139452
0.46115.4952011236061.98752184128151
0.47115.9367943320092.16536969540523
0.48116.4194924717122.39426241842479
0.49116.9531341094772.67032475509769
0.5117.5464764989602.98441879924957
0.51118.2062101003263.32289988308954
0.52118.9361561554793.6690955613803
0.53119.7367554814874.00543526557149
0.54120.6049308914494.31451885694914
0.55121.5343658896234.58109716093020
0.56122.5161891311624.79436012686079
0.57123.5399945810354.94982562831327
0.58124.5950754854245.04901140041277
0.59125.6717241299115.10030408202032
0.6126.7624635451605.11712682942427
0.61127.8631345778725.11777268968878
0.62128.9738464503125.12305123133272
0.63130.0998763371985.15733097216543
0.64131.2526270419985.24865947734207
0.65132.4506789546435.42979986571426
0.66133.7207863259745.7395018013653
0.67135.0983996489896.21905630123227
0.68136.6270372510116.90653894667916
0.69138.3557227770437.82195623999475
0.7140.3339034589088.95379963207658
0.71142.60385739497210.2492843681369
0.72145.19153510098711.6101594849446
0.73148.09782138822612.9019549459562
0.74151.29295216549713.9756192661099
0.75154.71685616684414.6965082451744
0.76158.28726310964914.9806016580696
0.77161.91561454122114.8246366083667
0.78165.52859240969114.3225049692879
0.79169.09113316822813.6656916845145
0.8172.62577534436813.1229127787599
0.81176.22346535761012.9988574070990
0.82180.04249425748213.5629061076143
0.83184.29466125595814.9634671634442
0.84189.22036719082817.1830301409782
0.85195.05626727068720.0586409099596
0.86201.99967201301223.3272902663023
0.87210.17326689455326.6560814675442
0.88219.59349100496529.6573592268273
0.89230.14805000401631.9116930091296
0.9241.59184530702433.0295465898809
0.91253.57001228869232.7629135469865
0.92265.66407943740631.1103360527152
0.93277.43672468292728.2988454598103
0.94288.45020075607724.5929155202694
0.95298.28629291359920.1247889910292
0.96306.67757391194215.1306256439737
0.97313.83246412426410.5679363334198
0.98320.6633148642018.3720534913213
0.99327.8436303813709.71209218574158

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 94.5530091415787 & 2.06914218654398 \tabularnewline
0.02 & 95.898251303614 & 1.23708068183798 \tabularnewline
0.03 & 96.8183523391823 & 0.807788063500321 \tabularnewline
0.04 & 97.3778223737708 & 0.642653794319946 \tabularnewline
0.05 & 97.7534778341843 & 0.56677709121393 \tabularnewline
0.06 & 98.0425199609347 & 0.524324587433538 \tabularnewline
0.07 & 98.2885307808145 & 0.51876330717788 \tabularnewline
0.08 & 98.517222145237 & 0.561264392016129 \tabularnewline
0.09 & 98.7482514701939 & 0.646764823046335 \tabularnewline
0.1 & 98.995713068135 & 0.756158860273702 \tabularnewline
0.11 & 99.2671062610368 & 0.869764132834338 \tabularnewline
0.12 & 99.5643214408162 & 0.977228732063291 \tabularnewline
0.13 & 99.8866571846302 & 1.08169397877574 \tabularnewline
0.14 & 100.234409424698 & 1.19794511988169 \tabularnewline
0.15 & 100.611463858372 & 1.34711134386246 \tabularnewline
0.16 & 101.025953128298 & 1.54630409543047 \tabularnewline
0.17 & 101.488866166563 & 1.80130403691254 \tabularnewline
0.18 & 102.011172658810 & 2.10167217405637 \tabularnewline
0.19 & 102.600404793032 & 2.42351483039447 \tabularnewline
0.2 & 103.257702836083 & 2.73328776698793 \tabularnewline
0.21 & 103.976129653060 & 2.99449448922788 \tabularnewline
0.22 & 104.740679674138 & 3.17534055821079 \tabularnewline
0.23 & 105.529960178022 & 3.25353495193182 \tabularnewline
0.24 & 106.319121356246 & 3.22108507750003 \tabularnewline
0.25 & 107.083351663386 & 3.08517454208795 \tabularnewline
0.26 & 107.801189720085 & 2.86559620285203 \tabularnewline
0.27 & 108.457030243990 & 2.59115215152206 \tabularnewline
0.28 & 109.042461271037 & 2.29390286116374 \tabularnewline
0.29 & 109.55637237756 & 2.00468757265181 \tabularnewline
0.3 & 110.004028815558 & 1.74892967473190 \tabularnewline
0.31 & 110.395456943656 & 1.54533646657706 \tabularnewline
0.32 & 110.743521349962 & 1.40409669799109 \tabularnewline
0.33 & 111.062022243118 & 1.32675004916183 \tabularnewline
0.34 & 111.364049013685 & 1.30672316150045 \tabularnewline
0.35 & 111.660732444700 & 1.33122044139155 \tabularnewline
0.36 & 111.960464665428 & 1.38456117253139 \tabularnewline
0.37 & 112.268603776395 & 1.45116635518721 \tabularnewline
0.38 & 112.587639558447 & 1.51803229446696 \tabularnewline
0.39 & 112.917758292562 & 1.57619685323742 \tabularnewline
0.4 & 113.257705861122 & 1.62193188473521 \tabularnewline
0.41 & 113.605814135970 & 1.65610728895859 \tabularnewline
0.42 & 113.961035297595 & 1.68563223749917 \tabularnewline
0.43 & 114.323829892924 & 1.72065611001357 \tabularnewline
0.44 & 114.696779452797 & 1.77418135966559 \tabularnewline
0.45 & 115.084839143496 & 1.85948260139452 \tabularnewline
0.46 & 115.495201123606 & 1.98752184128151 \tabularnewline
0.47 & 115.936794332009 & 2.16536969540523 \tabularnewline
0.48 & 116.419492471712 & 2.39426241842479 \tabularnewline
0.49 & 116.953134109477 & 2.67032475509769 \tabularnewline
0.5 & 117.546476498960 & 2.98441879924957 \tabularnewline
0.51 & 118.206210100326 & 3.32289988308954 \tabularnewline
0.52 & 118.936156155479 & 3.6690955613803 \tabularnewline
0.53 & 119.736755481487 & 4.00543526557149 \tabularnewline
0.54 & 120.604930891449 & 4.31451885694914 \tabularnewline
0.55 & 121.534365889623 & 4.58109716093020 \tabularnewline
0.56 & 122.516189131162 & 4.79436012686079 \tabularnewline
0.57 & 123.539994581035 & 4.94982562831327 \tabularnewline
0.58 & 124.595075485424 & 5.04901140041277 \tabularnewline
0.59 & 125.671724129911 & 5.10030408202032 \tabularnewline
0.6 & 126.762463545160 & 5.11712682942427 \tabularnewline
0.61 & 127.863134577872 & 5.11777268968878 \tabularnewline
0.62 & 128.973846450312 & 5.12305123133272 \tabularnewline
0.63 & 130.099876337198 & 5.15733097216543 \tabularnewline
0.64 & 131.252627041998 & 5.24865947734207 \tabularnewline
0.65 & 132.450678954643 & 5.42979986571426 \tabularnewline
0.66 & 133.720786325974 & 5.7395018013653 \tabularnewline
0.67 & 135.098399648989 & 6.21905630123227 \tabularnewline
0.68 & 136.627037251011 & 6.90653894667916 \tabularnewline
0.69 & 138.355722777043 & 7.82195623999475 \tabularnewline
0.7 & 140.333903458908 & 8.95379963207658 \tabularnewline
0.71 & 142.603857394972 & 10.2492843681369 \tabularnewline
0.72 & 145.191535100987 & 11.6101594849446 \tabularnewline
0.73 & 148.097821388226 & 12.9019549459562 \tabularnewline
0.74 & 151.292952165497 & 13.9756192661099 \tabularnewline
0.75 & 154.716856166844 & 14.6965082451744 \tabularnewline
0.76 & 158.287263109649 & 14.9806016580696 \tabularnewline
0.77 & 161.915614541221 & 14.8246366083667 \tabularnewline
0.78 & 165.528592409691 & 14.3225049692879 \tabularnewline
0.79 & 169.091133168228 & 13.6656916845145 \tabularnewline
0.8 & 172.625775344368 & 13.1229127787599 \tabularnewline
0.81 & 176.223465357610 & 12.9988574070990 \tabularnewline
0.82 & 180.042494257482 & 13.5629061076143 \tabularnewline
0.83 & 184.294661255958 & 14.9634671634442 \tabularnewline
0.84 & 189.220367190828 & 17.1830301409782 \tabularnewline
0.85 & 195.056267270687 & 20.0586409099596 \tabularnewline
0.86 & 201.999672013012 & 23.3272902663023 \tabularnewline
0.87 & 210.173266894553 & 26.6560814675442 \tabularnewline
0.88 & 219.593491004965 & 29.6573592268273 \tabularnewline
0.89 & 230.148050004016 & 31.9116930091296 \tabularnewline
0.9 & 241.591845307024 & 33.0295465898809 \tabularnewline
0.91 & 253.570012288692 & 32.7629135469865 \tabularnewline
0.92 & 265.664079437406 & 31.1103360527152 \tabularnewline
0.93 & 277.436724682927 & 28.2988454598103 \tabularnewline
0.94 & 288.450200756077 & 24.5929155202694 \tabularnewline
0.95 & 298.286292913599 & 20.1247889910292 \tabularnewline
0.96 & 306.677573911942 & 15.1306256439737 \tabularnewline
0.97 & 313.832464124264 & 10.5679363334198 \tabularnewline
0.98 & 320.663314864201 & 8.3720534913213 \tabularnewline
0.99 & 327.843630381370 & 9.71209218574158 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16927&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]94.5530091415787[/C][C]2.06914218654398[/C][/ROW]
[ROW][C]0.02[/C][C]95.898251303614[/C][C]1.23708068183798[/C][/ROW]
[ROW][C]0.03[/C][C]96.8183523391823[/C][C]0.807788063500321[/C][/ROW]
[ROW][C]0.04[/C][C]97.3778223737708[/C][C]0.642653794319946[/C][/ROW]
[ROW][C]0.05[/C][C]97.7534778341843[/C][C]0.56677709121393[/C][/ROW]
[ROW][C]0.06[/C][C]98.0425199609347[/C][C]0.524324587433538[/C][/ROW]
[ROW][C]0.07[/C][C]98.2885307808145[/C][C]0.51876330717788[/C][/ROW]
[ROW][C]0.08[/C][C]98.517222145237[/C][C]0.561264392016129[/C][/ROW]
[ROW][C]0.09[/C][C]98.7482514701939[/C][C]0.646764823046335[/C][/ROW]
[ROW][C]0.1[/C][C]98.995713068135[/C][C]0.756158860273702[/C][/ROW]
[ROW][C]0.11[/C][C]99.2671062610368[/C][C]0.869764132834338[/C][/ROW]
[ROW][C]0.12[/C][C]99.5643214408162[/C][C]0.977228732063291[/C][/ROW]
[ROW][C]0.13[/C][C]99.8866571846302[/C][C]1.08169397877574[/C][/ROW]
[ROW][C]0.14[/C][C]100.234409424698[/C][C]1.19794511988169[/C][/ROW]
[ROW][C]0.15[/C][C]100.611463858372[/C][C]1.34711134386246[/C][/ROW]
[ROW][C]0.16[/C][C]101.025953128298[/C][C]1.54630409543047[/C][/ROW]
[ROW][C]0.17[/C][C]101.488866166563[/C][C]1.80130403691254[/C][/ROW]
[ROW][C]0.18[/C][C]102.011172658810[/C][C]2.10167217405637[/C][/ROW]
[ROW][C]0.19[/C][C]102.600404793032[/C][C]2.42351483039447[/C][/ROW]
[ROW][C]0.2[/C][C]103.257702836083[/C][C]2.73328776698793[/C][/ROW]
[ROW][C]0.21[/C][C]103.976129653060[/C][C]2.99449448922788[/C][/ROW]
[ROW][C]0.22[/C][C]104.740679674138[/C][C]3.17534055821079[/C][/ROW]
[ROW][C]0.23[/C][C]105.529960178022[/C][C]3.25353495193182[/C][/ROW]
[ROW][C]0.24[/C][C]106.319121356246[/C][C]3.22108507750003[/C][/ROW]
[ROW][C]0.25[/C][C]107.083351663386[/C][C]3.08517454208795[/C][/ROW]
[ROW][C]0.26[/C][C]107.801189720085[/C][C]2.86559620285203[/C][/ROW]
[ROW][C]0.27[/C][C]108.457030243990[/C][C]2.59115215152206[/C][/ROW]
[ROW][C]0.28[/C][C]109.042461271037[/C][C]2.29390286116374[/C][/ROW]
[ROW][C]0.29[/C][C]109.55637237756[/C][C]2.00468757265181[/C][/ROW]
[ROW][C]0.3[/C][C]110.004028815558[/C][C]1.74892967473190[/C][/ROW]
[ROW][C]0.31[/C][C]110.395456943656[/C][C]1.54533646657706[/C][/ROW]
[ROW][C]0.32[/C][C]110.743521349962[/C][C]1.40409669799109[/C][/ROW]
[ROW][C]0.33[/C][C]111.062022243118[/C][C]1.32675004916183[/C][/ROW]
[ROW][C]0.34[/C][C]111.364049013685[/C][C]1.30672316150045[/C][/ROW]
[ROW][C]0.35[/C][C]111.660732444700[/C][C]1.33122044139155[/C][/ROW]
[ROW][C]0.36[/C][C]111.960464665428[/C][C]1.38456117253139[/C][/ROW]
[ROW][C]0.37[/C][C]112.268603776395[/C][C]1.45116635518721[/C][/ROW]
[ROW][C]0.38[/C][C]112.587639558447[/C][C]1.51803229446696[/C][/ROW]
[ROW][C]0.39[/C][C]112.917758292562[/C][C]1.57619685323742[/C][/ROW]
[ROW][C]0.4[/C][C]113.257705861122[/C][C]1.62193188473521[/C][/ROW]
[ROW][C]0.41[/C][C]113.605814135970[/C][C]1.65610728895859[/C][/ROW]
[ROW][C]0.42[/C][C]113.961035297595[/C][C]1.68563223749917[/C][/ROW]
[ROW][C]0.43[/C][C]114.323829892924[/C][C]1.72065611001357[/C][/ROW]
[ROW][C]0.44[/C][C]114.696779452797[/C][C]1.77418135966559[/C][/ROW]
[ROW][C]0.45[/C][C]115.084839143496[/C][C]1.85948260139452[/C][/ROW]
[ROW][C]0.46[/C][C]115.495201123606[/C][C]1.98752184128151[/C][/ROW]
[ROW][C]0.47[/C][C]115.936794332009[/C][C]2.16536969540523[/C][/ROW]
[ROW][C]0.48[/C][C]116.419492471712[/C][C]2.39426241842479[/C][/ROW]
[ROW][C]0.49[/C][C]116.953134109477[/C][C]2.67032475509769[/C][/ROW]
[ROW][C]0.5[/C][C]117.546476498960[/C][C]2.98441879924957[/C][/ROW]
[ROW][C]0.51[/C][C]118.206210100326[/C][C]3.32289988308954[/C][/ROW]
[ROW][C]0.52[/C][C]118.936156155479[/C][C]3.6690955613803[/C][/ROW]
[ROW][C]0.53[/C][C]119.736755481487[/C][C]4.00543526557149[/C][/ROW]
[ROW][C]0.54[/C][C]120.604930891449[/C][C]4.31451885694914[/C][/ROW]
[ROW][C]0.55[/C][C]121.534365889623[/C][C]4.58109716093020[/C][/ROW]
[ROW][C]0.56[/C][C]122.516189131162[/C][C]4.79436012686079[/C][/ROW]
[ROW][C]0.57[/C][C]123.539994581035[/C][C]4.94982562831327[/C][/ROW]
[ROW][C]0.58[/C][C]124.595075485424[/C][C]5.04901140041277[/C][/ROW]
[ROW][C]0.59[/C][C]125.671724129911[/C][C]5.10030408202032[/C][/ROW]
[ROW][C]0.6[/C][C]126.762463545160[/C][C]5.11712682942427[/C][/ROW]
[ROW][C]0.61[/C][C]127.863134577872[/C][C]5.11777268968878[/C][/ROW]
[ROW][C]0.62[/C][C]128.973846450312[/C][C]5.12305123133272[/C][/ROW]
[ROW][C]0.63[/C][C]130.099876337198[/C][C]5.15733097216543[/C][/ROW]
[ROW][C]0.64[/C][C]131.252627041998[/C][C]5.24865947734207[/C][/ROW]
[ROW][C]0.65[/C][C]132.450678954643[/C][C]5.42979986571426[/C][/ROW]
[ROW][C]0.66[/C][C]133.720786325974[/C][C]5.7395018013653[/C][/ROW]
[ROW][C]0.67[/C][C]135.098399648989[/C][C]6.21905630123227[/C][/ROW]
[ROW][C]0.68[/C][C]136.627037251011[/C][C]6.90653894667916[/C][/ROW]
[ROW][C]0.69[/C][C]138.355722777043[/C][C]7.82195623999475[/C][/ROW]
[ROW][C]0.7[/C][C]140.333903458908[/C][C]8.95379963207658[/C][/ROW]
[ROW][C]0.71[/C][C]142.603857394972[/C][C]10.2492843681369[/C][/ROW]
[ROW][C]0.72[/C][C]145.191535100987[/C][C]11.6101594849446[/C][/ROW]
[ROW][C]0.73[/C][C]148.097821388226[/C][C]12.9019549459562[/C][/ROW]
[ROW][C]0.74[/C][C]151.292952165497[/C][C]13.9756192661099[/C][/ROW]
[ROW][C]0.75[/C][C]154.716856166844[/C][C]14.6965082451744[/C][/ROW]
[ROW][C]0.76[/C][C]158.287263109649[/C][C]14.9806016580696[/C][/ROW]
[ROW][C]0.77[/C][C]161.915614541221[/C][C]14.8246366083667[/C][/ROW]
[ROW][C]0.78[/C][C]165.528592409691[/C][C]14.3225049692879[/C][/ROW]
[ROW][C]0.79[/C][C]169.091133168228[/C][C]13.6656916845145[/C][/ROW]
[ROW][C]0.8[/C][C]172.625775344368[/C][C]13.1229127787599[/C][/ROW]
[ROW][C]0.81[/C][C]176.223465357610[/C][C]12.9988574070990[/C][/ROW]
[ROW][C]0.82[/C][C]180.042494257482[/C][C]13.5629061076143[/C][/ROW]
[ROW][C]0.83[/C][C]184.294661255958[/C][C]14.9634671634442[/C][/ROW]
[ROW][C]0.84[/C][C]189.220367190828[/C][C]17.1830301409782[/C][/ROW]
[ROW][C]0.85[/C][C]195.056267270687[/C][C]20.0586409099596[/C][/ROW]
[ROW][C]0.86[/C][C]201.999672013012[/C][C]23.3272902663023[/C][/ROW]
[ROW][C]0.87[/C][C]210.173266894553[/C][C]26.6560814675442[/C][/ROW]
[ROW][C]0.88[/C][C]219.593491004965[/C][C]29.6573592268273[/C][/ROW]
[ROW][C]0.89[/C][C]230.148050004016[/C][C]31.9116930091296[/C][/ROW]
[ROW][C]0.9[/C][C]241.591845307024[/C][C]33.0295465898809[/C][/ROW]
[ROW][C]0.91[/C][C]253.570012288692[/C][C]32.7629135469865[/C][/ROW]
[ROW][C]0.92[/C][C]265.664079437406[/C][C]31.1103360527152[/C][/ROW]
[ROW][C]0.93[/C][C]277.436724682927[/C][C]28.2988454598103[/C][/ROW]
[ROW][C]0.94[/C][C]288.450200756077[/C][C]24.5929155202694[/C][/ROW]
[ROW][C]0.95[/C][C]298.286292913599[/C][C]20.1247889910292[/C][/ROW]
[ROW][C]0.96[/C][C]306.677573911942[/C][C]15.1306256439737[/C][/ROW]
[ROW][C]0.97[/C][C]313.832464124264[/C][C]10.5679363334198[/C][/ROW]
[ROW][C]0.98[/C][C]320.663314864201[/C][C]8.3720534913213[/C][/ROW]
[ROW][C]0.99[/C][C]327.843630381370[/C][C]9.71209218574158[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16927&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16927&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
0.0194.55300914157872.06914218654398
0.0295.8982513036141.23708068183798
0.0396.81835233918230.807788063500321
0.0497.37782237377080.642653794319946
0.0597.75347783418430.56677709121393
0.0698.04251996093470.524324587433538
0.0798.28853078081450.51876330717788
0.0898.5172221452370.561264392016129
0.0998.74825147019390.646764823046335
0.198.9957130681350.756158860273702
0.1199.26710626103680.869764132834338
0.1299.56432144081620.977228732063291
0.1399.88665718463021.08169397877574
0.14100.2344094246981.19794511988169
0.15100.6114638583721.34711134386246
0.16101.0259531282981.54630409543047
0.17101.4888661665631.80130403691254
0.18102.0111726588102.10167217405637
0.19102.6004047930322.42351483039447
0.2103.2577028360832.73328776698793
0.21103.9761296530602.99449448922788
0.22104.7406796741383.17534055821079
0.23105.5299601780223.25353495193182
0.24106.3191213562463.22108507750003
0.25107.0833516633863.08517454208795
0.26107.8011897200852.86559620285203
0.27108.4570302439902.59115215152206
0.28109.0424612710372.29390286116374
0.29109.556372377562.00468757265181
0.3110.0040288155581.74892967473190
0.31110.3954569436561.54533646657706
0.32110.7435213499621.40409669799109
0.33111.0620222431181.32675004916183
0.34111.3640490136851.30672316150045
0.35111.6607324447001.33122044139155
0.36111.9604646654281.38456117253139
0.37112.2686037763951.45116635518721
0.38112.5876395584471.51803229446696
0.39112.9177582925621.57619685323742
0.4113.2577058611221.62193188473521
0.41113.6058141359701.65610728895859
0.42113.9610352975951.68563223749917
0.43114.3238298929241.72065611001357
0.44114.6967794527971.77418135966559
0.45115.0848391434961.85948260139452
0.46115.4952011236061.98752184128151
0.47115.9367943320092.16536969540523
0.48116.4194924717122.39426241842479
0.49116.9531341094772.67032475509769
0.5117.5464764989602.98441879924957
0.51118.2062101003263.32289988308954
0.52118.9361561554793.6690955613803
0.53119.7367554814874.00543526557149
0.54120.6049308914494.31451885694914
0.55121.5343658896234.58109716093020
0.56122.5161891311624.79436012686079
0.57123.5399945810354.94982562831327
0.58124.5950754854245.04901140041277
0.59125.6717241299115.10030408202032
0.6126.7624635451605.11712682942427
0.61127.8631345778725.11777268968878
0.62128.9738464503125.12305123133272
0.63130.0998763371985.15733097216543
0.64131.2526270419985.24865947734207
0.65132.4506789546435.42979986571426
0.66133.7207863259745.7395018013653
0.67135.0983996489896.21905630123227
0.68136.6270372510116.90653894667916
0.69138.3557227770437.82195623999475
0.7140.3339034589088.95379963207658
0.71142.60385739497210.2492843681369
0.72145.19153510098711.6101594849446
0.73148.09782138822612.9019549459562
0.74151.29295216549713.9756192661099
0.75154.71685616684414.6965082451744
0.76158.28726310964914.9806016580696
0.77161.91561454122114.8246366083667
0.78165.52859240969114.3225049692879
0.79169.09113316822813.6656916845145
0.8172.62577534436813.1229127787599
0.81176.22346535761012.9988574070990
0.82180.04249425748213.5629061076143
0.83184.29466125595814.9634671634442
0.84189.22036719082817.1830301409782
0.85195.05626727068720.0586409099596
0.86201.99967201301223.3272902663023
0.87210.17326689455326.6560814675442
0.88219.59349100496529.6573592268273
0.89230.14805000401631.9116930091296
0.9241.59184530702433.0295465898809
0.91253.57001228869232.7629135469865
0.92265.66407943740631.1103360527152
0.93277.43672468292728.2988454598103
0.94288.45020075607724.5929155202694
0.95298.28629291359920.1247889910292
0.96306.67757391194215.1306256439737
0.97313.83246412426410.5679363334198
0.98320.6633148642018.3720534913213
0.99327.8436303813709.71209218574158


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')