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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 computationSun, 16 Aug 2009 07:38:37 -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/2009/Aug/16/t1250429944otexpp8sm2tcmhg.htm/, Retrieved Sun, 05 May 2024 09:29:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42631, Retrieved Sun, 05 May 2024 09:29:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact193

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2009-08-16 10:56:48] [f85cc8f00ef4b762f0a6fdfddc793773]
- RM      [Harrell-Davis Quantiles] [] [2009-08-16 13:38:37] [e921d89db97faa9283224ee60d8fb091] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
72.84
73.96
73.26
73.86
73.04
212.8
157.92
111.55
99.01
89.5
100.95
116.06
131.5
137.43
138.53
137.26
136.81
182.98
149.45
109.34
93.37
84.09
83.83
82.94
82.88
81.41
79.87
79.66
76.07
182.69
165.78
142.5
120.6
105.73
98.72
98.41
96.08
97.3
97.5
97.02
98.75
232.81
240.83
193.4
148.28
138.34
135.34
134.02
133.86
131.67
132.43
130.21
129.98
206.16
195.17
159.16
136.33
125.18
121.21
119.38
119.26
119.75
118.78
116.97
121.69
223.51
228.58
205.22
189.4
180.14
177.59
176.39
171.16
173.11
171.74
175.97
179.64
254.62
240.5
212.01
176.36
153.24
146.69
141.52
142.6
143.19
142.32
142.03
144.92
177.31
194.4
189.19
180.44
175.84
178.54
176.55

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42631&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42631&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42631&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0172.98561886084610.306346488509131
0.0273.31254890878870.683067120004679
0.0373.86567499498621.31694259126260
0.0474.69492266624262.08153167377773
0.0575.79543267848062.76566121312326
0.0677.09465312095373.21112626031757
0.0778.49087907025463.4194276741884
0.0879.90582128181873.53160150415117
0.0981.31426327626573.72298072505074
0.182.73886762169034.09206324785492
0.1184.22209497166154.61288414580509
0.1285.7949676664595.16715746656784
0.1387.4573390443455.61275165132027
0.1489.17522841687135.84140645574843
0.1590.89292806995385.81577387694774
0.1692.55279247736265.57759645637841
0.1794.11434353880565.23258527242808
0.1895.56619593305064.91777743196394
0.1996.92800284852354.7638210616994
0.298.24337749618234.85380837658197
0.2199.56722272109515.19728252251898
0.22100.9516798287515.7338765287583
0.23102.4343344624086.36370231915476
0.24104.0310298547636.9772333881191
0.25105.7341809812667.47796947556528
0.26107.5161833188607.79668087725073
0.27109.336531002587.90184542360987
0.28111.1506899264117.80082585073549
0.29112.9186567688897.5357444107177
0.3114.6114574691487.17147860567849
0.31116.2144969018846.78129923976212
0.32117.7274913548656.4314552150027
0.33119.1614948514396.16744377896871
0.34120.5340950609506.00622406754786
0.35121.864100814285.93506552308341
0.36123.1669557352075.92072432990746
0.37124.4517567689595.92018070756393
0.38125.7202532446775.89385635371504
0.39126.9676922235675.81421647206447
0.4128.1849830985175.6684344435469
0.41129.3614560492485.45962393841809
0.42130.4875007015165.2024668392619
0.43131.5565508770214.91880719350312
0.44132.5661490812864.63297883666633
0.45133.5180933503604.36649515479852
0.46134.4178723241204.13606508070461
0.47135.2737004844343.95209484124824
0.48136.0954779864963.81926792862618
0.49136.8939442425313.73836575148967
0.5137.6802025483413.70867373989968
0.51138.4656885953873.73033785837971
0.52139.2625519690023.80674253316037
0.53140.0843234383393.94606417683795
0.54140.9466591439584.16185786974335
0.55141.8678974446154.46937432820864
0.56142.8691502617784.88406088806725
0.57143.9736909003915.41587482057163
0.58145.2054982509756.06335310170033
0.59146.5869641363926.81082072909095
0.6148.1359454945317.62833906794041
0.61149.8625168765908.46938480690168
0.62151.7659183734409.2748934560868
0.63153.8322669139199.9787758959828
0.64156.03357708407710.5141931944683
0.65158.32850445535810.8232620018154
0.66160.66498252578710.8641007348234
0.67162.98460340822310.6198497299616
0.68165.22825076712110.10172308799
0.69167.3422097619849.3484156457953
0.7169.2838318760968.42307858738564
0.71171.0258763193817.40442128638382
0.72172.5588908098256.37632492638596
0.73173.8913831478585.41855224380591
0.74175.0479735221604.59906916992271
0.75176.0660860309563.96849526107796
0.76176.9919305384413.55891191231657
0.77177.8764890823803.38130770873777
0.78178.7719826777473.42718462311605
0.79179.7289703945913.67100588856812
0.8180.793993427174.07725592910829
0.81182.0076673472614.60539964010705
0.82183.4033587933685.21190945072238
0.83185.0068709701375.85560457468175
0.84186.8375778085946.50344511175023
0.85188.9109578630017.13829430118213
0.86191.2416593328457.7595343127451
0.87193.8457391451658.37241837560878
0.88196.7412522813928.97341281489485
0.89199.9477292633469.54465037922076
0.9203.48571072475810.0646415126214
0.91207.37566638802210.5230781376995
0.92211.63208895689210.9061383895677
0.93216.24771887130611.1466076625233
0.94221.16904913531811.0951354131739
0.95226.27923051833410.5735421474569
0.96231.4382055304139.48048953196085
0.97236.6792928546637.9843499861895
0.98242.4965607452337.30049906817425
0.99249.2506497853079.82619708096535

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 72.9856188608461 & 0.306346488509131 \tabularnewline
0.02 & 73.3125489087887 & 0.683067120004679 \tabularnewline
0.03 & 73.8656749949862 & 1.31694259126260 \tabularnewline
0.04 & 74.6949226662426 & 2.08153167377773 \tabularnewline
0.05 & 75.7954326784806 & 2.76566121312326 \tabularnewline
0.06 & 77.0946531209537 & 3.21112626031757 \tabularnewline
0.07 & 78.4908790702546 & 3.4194276741884 \tabularnewline
0.08 & 79.9058212818187 & 3.53160150415117 \tabularnewline
0.09 & 81.3142632762657 & 3.72298072505074 \tabularnewline
0.1 & 82.7388676216903 & 4.09206324785492 \tabularnewline
0.11 & 84.2220949716615 & 4.61288414580509 \tabularnewline
0.12 & 85.794967666459 & 5.16715746656784 \tabularnewline
0.13 & 87.457339044345 & 5.61275165132027 \tabularnewline
0.14 & 89.1752284168713 & 5.84140645574843 \tabularnewline
0.15 & 90.8929280699538 & 5.81577387694774 \tabularnewline
0.16 & 92.5527924773626 & 5.57759645637841 \tabularnewline
0.17 & 94.1143435388056 & 5.23258527242808 \tabularnewline
0.18 & 95.5661959330506 & 4.91777743196394 \tabularnewline
0.19 & 96.9280028485235 & 4.7638210616994 \tabularnewline
0.2 & 98.2433774961823 & 4.85380837658197 \tabularnewline
0.21 & 99.5672227210951 & 5.19728252251898 \tabularnewline
0.22 & 100.951679828751 & 5.7338765287583 \tabularnewline
0.23 & 102.434334462408 & 6.36370231915476 \tabularnewline
0.24 & 104.031029854763 & 6.9772333881191 \tabularnewline
0.25 & 105.734180981266 & 7.47796947556528 \tabularnewline
0.26 & 107.516183318860 & 7.79668087725073 \tabularnewline
0.27 & 109.33653100258 & 7.90184542360987 \tabularnewline
0.28 & 111.150689926411 & 7.80082585073549 \tabularnewline
0.29 & 112.918656768889 & 7.5357444107177 \tabularnewline
0.3 & 114.611457469148 & 7.17147860567849 \tabularnewline
0.31 & 116.214496901884 & 6.78129923976212 \tabularnewline
0.32 & 117.727491354865 & 6.4314552150027 \tabularnewline
0.33 & 119.161494851439 & 6.16744377896871 \tabularnewline
0.34 & 120.534095060950 & 6.00622406754786 \tabularnewline
0.35 & 121.86410081428 & 5.93506552308341 \tabularnewline
0.36 & 123.166955735207 & 5.92072432990746 \tabularnewline
0.37 & 124.451756768959 & 5.92018070756393 \tabularnewline
0.38 & 125.720253244677 & 5.89385635371504 \tabularnewline
0.39 & 126.967692223567 & 5.81421647206447 \tabularnewline
0.4 & 128.184983098517 & 5.6684344435469 \tabularnewline
0.41 & 129.361456049248 & 5.45962393841809 \tabularnewline
0.42 & 130.487500701516 & 5.2024668392619 \tabularnewline
0.43 & 131.556550877021 & 4.91880719350312 \tabularnewline
0.44 & 132.566149081286 & 4.63297883666633 \tabularnewline
0.45 & 133.518093350360 & 4.36649515479852 \tabularnewline
0.46 & 134.417872324120 & 4.13606508070461 \tabularnewline
0.47 & 135.273700484434 & 3.95209484124824 \tabularnewline
0.48 & 136.095477986496 & 3.81926792862618 \tabularnewline
0.49 & 136.893944242531 & 3.73836575148967 \tabularnewline
0.5 & 137.680202548341 & 3.70867373989968 \tabularnewline
0.51 & 138.465688595387 & 3.73033785837971 \tabularnewline
0.52 & 139.262551969002 & 3.80674253316037 \tabularnewline
0.53 & 140.084323438339 & 3.94606417683795 \tabularnewline
0.54 & 140.946659143958 & 4.16185786974335 \tabularnewline
0.55 & 141.867897444615 & 4.46937432820864 \tabularnewline
0.56 & 142.869150261778 & 4.88406088806725 \tabularnewline
0.57 & 143.973690900391 & 5.41587482057163 \tabularnewline
0.58 & 145.205498250975 & 6.06335310170033 \tabularnewline
0.59 & 146.586964136392 & 6.81082072909095 \tabularnewline
0.6 & 148.135945494531 & 7.62833906794041 \tabularnewline
0.61 & 149.862516876590 & 8.46938480690168 \tabularnewline
0.62 & 151.765918373440 & 9.2748934560868 \tabularnewline
0.63 & 153.832266913919 & 9.9787758959828 \tabularnewline
0.64 & 156.033577084077 & 10.5141931944683 \tabularnewline
0.65 & 158.328504455358 & 10.8232620018154 \tabularnewline
0.66 & 160.664982525787 & 10.8641007348234 \tabularnewline
0.67 & 162.984603408223 & 10.6198497299616 \tabularnewline
0.68 & 165.228250767121 & 10.10172308799 \tabularnewline
0.69 & 167.342209761984 & 9.3484156457953 \tabularnewline
0.7 & 169.283831876096 & 8.42307858738564 \tabularnewline
0.71 & 171.025876319381 & 7.40442128638382 \tabularnewline
0.72 & 172.558890809825 & 6.37632492638596 \tabularnewline
0.73 & 173.891383147858 & 5.41855224380591 \tabularnewline
0.74 & 175.047973522160 & 4.59906916992271 \tabularnewline
0.75 & 176.066086030956 & 3.96849526107796 \tabularnewline
0.76 & 176.991930538441 & 3.55891191231657 \tabularnewline
0.77 & 177.876489082380 & 3.38130770873777 \tabularnewline
0.78 & 178.771982677747 & 3.42718462311605 \tabularnewline
0.79 & 179.728970394591 & 3.67100588856812 \tabularnewline
0.8 & 180.79399342717 & 4.07725592910829 \tabularnewline
0.81 & 182.007667347261 & 4.60539964010705 \tabularnewline
0.82 & 183.403358793368 & 5.21190945072238 \tabularnewline
0.83 & 185.006870970137 & 5.85560457468175 \tabularnewline
0.84 & 186.837577808594 & 6.50344511175023 \tabularnewline
0.85 & 188.910957863001 & 7.13829430118213 \tabularnewline
0.86 & 191.241659332845 & 7.7595343127451 \tabularnewline
0.87 & 193.845739145165 & 8.37241837560878 \tabularnewline
0.88 & 196.741252281392 & 8.97341281489485 \tabularnewline
0.89 & 199.947729263346 & 9.54465037922076 \tabularnewline
0.9 & 203.485710724758 & 10.0646415126214 \tabularnewline
0.91 & 207.375666388022 & 10.5230781376995 \tabularnewline
0.92 & 211.632088956892 & 10.9061383895677 \tabularnewline
0.93 & 216.247718871306 & 11.1466076625233 \tabularnewline
0.94 & 221.169049135318 & 11.0951354131739 \tabularnewline
0.95 & 226.279230518334 & 10.5735421474569 \tabularnewline
0.96 & 231.438205530413 & 9.48048953196085 \tabularnewline
0.97 & 236.679292854663 & 7.9843499861895 \tabularnewline
0.98 & 242.496560745233 & 7.30049906817425 \tabularnewline
0.99 & 249.250649785307 & 9.82619708096535 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42631&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]72.9856188608461[/C][C]0.306346488509131[/C][/ROW]
[ROW][C]0.02[/C][C]73.3125489087887[/C][C]0.683067120004679[/C][/ROW]
[ROW][C]0.03[/C][C]73.8656749949862[/C][C]1.31694259126260[/C][/ROW]
[ROW][C]0.04[/C][C]74.6949226662426[/C][C]2.08153167377773[/C][/ROW]
[ROW][C]0.05[/C][C]75.7954326784806[/C][C]2.76566121312326[/C][/ROW]
[ROW][C]0.06[/C][C]77.0946531209537[/C][C]3.21112626031757[/C][/ROW]
[ROW][C]0.07[/C][C]78.4908790702546[/C][C]3.4194276741884[/C][/ROW]
[ROW][C]0.08[/C][C]79.9058212818187[/C][C]3.53160150415117[/C][/ROW]
[ROW][C]0.09[/C][C]81.3142632762657[/C][C]3.72298072505074[/C][/ROW]
[ROW][C]0.1[/C][C]82.7388676216903[/C][C]4.09206324785492[/C][/ROW]
[ROW][C]0.11[/C][C]84.2220949716615[/C][C]4.61288414580509[/C][/ROW]
[ROW][C]0.12[/C][C]85.794967666459[/C][C]5.16715746656784[/C][/ROW]
[ROW][C]0.13[/C][C]87.457339044345[/C][C]5.61275165132027[/C][/ROW]
[ROW][C]0.14[/C][C]89.1752284168713[/C][C]5.84140645574843[/C][/ROW]
[ROW][C]0.15[/C][C]90.8929280699538[/C][C]5.81577387694774[/C][/ROW]
[ROW][C]0.16[/C][C]92.5527924773626[/C][C]5.57759645637841[/C][/ROW]
[ROW][C]0.17[/C][C]94.1143435388056[/C][C]5.23258527242808[/C][/ROW]
[ROW][C]0.18[/C][C]95.5661959330506[/C][C]4.91777743196394[/C][/ROW]
[ROW][C]0.19[/C][C]96.9280028485235[/C][C]4.7638210616994[/C][/ROW]
[ROW][C]0.2[/C][C]98.2433774961823[/C][C]4.85380837658197[/C][/ROW]
[ROW][C]0.21[/C][C]99.5672227210951[/C][C]5.19728252251898[/C][/ROW]
[ROW][C]0.22[/C][C]100.951679828751[/C][C]5.7338765287583[/C][/ROW]
[ROW][C]0.23[/C][C]102.434334462408[/C][C]6.36370231915476[/C][/ROW]
[ROW][C]0.24[/C][C]104.031029854763[/C][C]6.9772333881191[/C][/ROW]
[ROW][C]0.25[/C][C]105.734180981266[/C][C]7.47796947556528[/C][/ROW]
[ROW][C]0.26[/C][C]107.516183318860[/C][C]7.79668087725073[/C][/ROW]
[ROW][C]0.27[/C][C]109.33653100258[/C][C]7.90184542360987[/C][/ROW]
[ROW][C]0.28[/C][C]111.150689926411[/C][C]7.80082585073549[/C][/ROW]
[ROW][C]0.29[/C][C]112.918656768889[/C][C]7.5357444107177[/C][/ROW]
[ROW][C]0.3[/C][C]114.611457469148[/C][C]7.17147860567849[/C][/ROW]
[ROW][C]0.31[/C][C]116.214496901884[/C][C]6.78129923976212[/C][/ROW]
[ROW][C]0.32[/C][C]117.727491354865[/C][C]6.4314552150027[/C][/ROW]
[ROW][C]0.33[/C][C]119.161494851439[/C][C]6.16744377896871[/C][/ROW]
[ROW][C]0.34[/C][C]120.534095060950[/C][C]6.00622406754786[/C][/ROW]
[ROW][C]0.35[/C][C]121.86410081428[/C][C]5.93506552308341[/C][/ROW]
[ROW][C]0.36[/C][C]123.166955735207[/C][C]5.92072432990746[/C][/ROW]
[ROW][C]0.37[/C][C]124.451756768959[/C][C]5.92018070756393[/C][/ROW]
[ROW][C]0.38[/C][C]125.720253244677[/C][C]5.89385635371504[/C][/ROW]
[ROW][C]0.39[/C][C]126.967692223567[/C][C]5.81421647206447[/C][/ROW]
[ROW][C]0.4[/C][C]128.184983098517[/C][C]5.6684344435469[/C][/ROW]
[ROW][C]0.41[/C][C]129.361456049248[/C][C]5.45962393841809[/C][/ROW]
[ROW][C]0.42[/C][C]130.487500701516[/C][C]5.2024668392619[/C][/ROW]
[ROW][C]0.43[/C][C]131.556550877021[/C][C]4.91880719350312[/C][/ROW]
[ROW][C]0.44[/C][C]132.566149081286[/C][C]4.63297883666633[/C][/ROW]
[ROW][C]0.45[/C][C]133.518093350360[/C][C]4.36649515479852[/C][/ROW]
[ROW][C]0.46[/C][C]134.417872324120[/C][C]4.13606508070461[/C][/ROW]
[ROW][C]0.47[/C][C]135.273700484434[/C][C]3.95209484124824[/C][/ROW]
[ROW][C]0.48[/C][C]136.095477986496[/C][C]3.81926792862618[/C][/ROW]
[ROW][C]0.49[/C][C]136.893944242531[/C][C]3.73836575148967[/C][/ROW]
[ROW][C]0.5[/C][C]137.680202548341[/C][C]3.70867373989968[/C][/ROW]
[ROW][C]0.51[/C][C]138.465688595387[/C][C]3.73033785837971[/C][/ROW]
[ROW][C]0.52[/C][C]139.262551969002[/C][C]3.80674253316037[/C][/ROW]
[ROW][C]0.53[/C][C]140.084323438339[/C][C]3.94606417683795[/C][/ROW]
[ROW][C]0.54[/C][C]140.946659143958[/C][C]4.16185786974335[/C][/ROW]
[ROW][C]0.55[/C][C]141.867897444615[/C][C]4.46937432820864[/C][/ROW]
[ROW][C]0.56[/C][C]142.869150261778[/C][C]4.88406088806725[/C][/ROW]
[ROW][C]0.57[/C][C]143.973690900391[/C][C]5.41587482057163[/C][/ROW]
[ROW][C]0.58[/C][C]145.205498250975[/C][C]6.06335310170033[/C][/ROW]
[ROW][C]0.59[/C][C]146.586964136392[/C][C]6.81082072909095[/C][/ROW]
[ROW][C]0.6[/C][C]148.135945494531[/C][C]7.62833906794041[/C][/ROW]
[ROW][C]0.61[/C][C]149.862516876590[/C][C]8.46938480690168[/C][/ROW]
[ROW][C]0.62[/C][C]151.765918373440[/C][C]9.2748934560868[/C][/ROW]
[ROW][C]0.63[/C][C]153.832266913919[/C][C]9.9787758959828[/C][/ROW]
[ROW][C]0.64[/C][C]156.033577084077[/C][C]10.5141931944683[/C][/ROW]
[ROW][C]0.65[/C][C]158.328504455358[/C][C]10.8232620018154[/C][/ROW]
[ROW][C]0.66[/C][C]160.664982525787[/C][C]10.8641007348234[/C][/ROW]
[ROW][C]0.67[/C][C]162.984603408223[/C][C]10.6198497299616[/C][/ROW]
[ROW][C]0.68[/C][C]165.228250767121[/C][C]10.10172308799[/C][/ROW]
[ROW][C]0.69[/C][C]167.342209761984[/C][C]9.3484156457953[/C][/ROW]
[ROW][C]0.7[/C][C]169.283831876096[/C][C]8.42307858738564[/C][/ROW]
[ROW][C]0.71[/C][C]171.025876319381[/C][C]7.40442128638382[/C][/ROW]
[ROW][C]0.72[/C][C]172.558890809825[/C][C]6.37632492638596[/C][/ROW]
[ROW][C]0.73[/C][C]173.891383147858[/C][C]5.41855224380591[/C][/ROW]
[ROW][C]0.74[/C][C]175.047973522160[/C][C]4.59906916992271[/C][/ROW]
[ROW][C]0.75[/C][C]176.066086030956[/C][C]3.96849526107796[/C][/ROW]
[ROW][C]0.76[/C][C]176.991930538441[/C][C]3.55891191231657[/C][/ROW]
[ROW][C]0.77[/C][C]177.876489082380[/C][C]3.38130770873777[/C][/ROW]
[ROW][C]0.78[/C][C]178.771982677747[/C][C]3.42718462311605[/C][/ROW]
[ROW][C]0.79[/C][C]179.728970394591[/C][C]3.67100588856812[/C][/ROW]
[ROW][C]0.8[/C][C]180.79399342717[/C][C]4.07725592910829[/C][/ROW]
[ROW][C]0.81[/C][C]182.007667347261[/C][C]4.60539964010705[/C][/ROW]
[ROW][C]0.82[/C][C]183.403358793368[/C][C]5.21190945072238[/C][/ROW]
[ROW][C]0.83[/C][C]185.006870970137[/C][C]5.85560457468175[/C][/ROW]
[ROW][C]0.84[/C][C]186.837577808594[/C][C]6.50344511175023[/C][/ROW]
[ROW][C]0.85[/C][C]188.910957863001[/C][C]7.13829430118213[/C][/ROW]
[ROW][C]0.86[/C][C]191.241659332845[/C][C]7.7595343127451[/C][/ROW]
[ROW][C]0.87[/C][C]193.845739145165[/C][C]8.37241837560878[/C][/ROW]
[ROW][C]0.88[/C][C]196.741252281392[/C][C]8.97341281489485[/C][/ROW]
[ROW][C]0.89[/C][C]199.947729263346[/C][C]9.54465037922076[/C][/ROW]
[ROW][C]0.9[/C][C]203.485710724758[/C][C]10.0646415126214[/C][/ROW]
[ROW][C]0.91[/C][C]207.375666388022[/C][C]10.5230781376995[/C][/ROW]
[ROW][C]0.92[/C][C]211.632088956892[/C][C]10.9061383895677[/C][/ROW]
[ROW][C]0.93[/C][C]216.247718871306[/C][C]11.1466076625233[/C][/ROW]
[ROW][C]0.94[/C][C]221.169049135318[/C][C]11.0951354131739[/C][/ROW]
[ROW][C]0.95[/C][C]226.279230518334[/C][C]10.5735421474569[/C][/ROW]
[ROW][C]0.96[/C][C]231.438205530413[/C][C]9.48048953196085[/C][/ROW]
[ROW][C]0.97[/C][C]236.679292854663[/C][C]7.9843499861895[/C][/ROW]
[ROW][C]0.98[/C][C]242.496560745233[/C][C]7.30049906817425[/C][/ROW]
[ROW][C]0.99[/C][C]249.250649785307[/C][C]9.82619708096535[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42631&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42631&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
0.0172.98561886084610.306346488509131
0.0273.31254890878870.683067120004679
0.0373.86567499498621.31694259126260
0.0474.69492266624262.08153167377773
0.0575.79543267848062.76566121312326
0.0677.09465312095373.21112626031757
0.0778.49087907025463.4194276741884
0.0879.90582128181873.53160150415117
0.0981.31426327626573.72298072505074
0.182.73886762169034.09206324785492
0.1184.22209497166154.61288414580509
0.1285.7949676664595.16715746656784
0.1387.4573390443455.61275165132027
0.1489.17522841687135.84140645574843
0.1590.89292806995385.81577387694774
0.1692.55279247736265.57759645637841
0.1794.11434353880565.23258527242808
0.1895.56619593305064.91777743196394
0.1996.92800284852354.7638210616994
0.298.24337749618234.85380837658197
0.2199.56722272109515.19728252251898
0.22100.9516798287515.7338765287583
0.23102.4343344624086.36370231915476
0.24104.0310298547636.9772333881191
0.25105.7341809812667.47796947556528
0.26107.5161833188607.79668087725073
0.27109.336531002587.90184542360987
0.28111.1506899264117.80082585073549
0.29112.9186567688897.5357444107177
0.3114.6114574691487.17147860567849
0.31116.2144969018846.78129923976212
0.32117.7274913548656.4314552150027
0.33119.1614948514396.16744377896871
0.34120.5340950609506.00622406754786
0.35121.864100814285.93506552308341
0.36123.1669557352075.92072432990746
0.37124.4517567689595.92018070756393
0.38125.7202532446775.89385635371504
0.39126.9676922235675.81421647206447
0.4128.1849830985175.6684344435469
0.41129.3614560492485.45962393841809
0.42130.4875007015165.2024668392619
0.43131.5565508770214.91880719350312
0.44132.5661490812864.63297883666633
0.45133.5180933503604.36649515479852
0.46134.4178723241204.13606508070461
0.47135.2737004844343.95209484124824
0.48136.0954779864963.81926792862618
0.49136.8939442425313.73836575148967
0.5137.6802025483413.70867373989968
0.51138.4656885953873.73033785837971
0.52139.2625519690023.80674253316037
0.53140.0843234383393.94606417683795
0.54140.9466591439584.16185786974335
0.55141.8678974446154.46937432820864
0.56142.8691502617784.88406088806725
0.57143.9736909003915.41587482057163
0.58145.2054982509756.06335310170033
0.59146.5869641363926.81082072909095
0.6148.1359454945317.62833906794041
0.61149.8625168765908.46938480690168
0.62151.7659183734409.2748934560868
0.63153.8322669139199.9787758959828
0.64156.03357708407710.5141931944683
0.65158.32850445535810.8232620018154
0.66160.66498252578710.8641007348234
0.67162.98460340822310.6198497299616
0.68165.22825076712110.10172308799
0.69167.3422097619849.3484156457953
0.7169.2838318760968.42307858738564
0.71171.0258763193817.40442128638382
0.72172.5588908098256.37632492638596
0.73173.8913831478585.41855224380591
0.74175.0479735221604.59906916992271
0.75176.0660860309563.96849526107796
0.76176.9919305384413.55891191231657
0.77177.8764890823803.38130770873777
0.78178.7719826777473.42718462311605
0.79179.7289703945913.67100588856812
0.8180.793993427174.07725592910829
0.81182.0076673472614.60539964010705
0.82183.4033587933685.21190945072238
0.83185.0068709701375.85560457468175
0.84186.8375778085946.50344511175023
0.85188.9109578630017.13829430118213
0.86191.2416593328457.7595343127451
0.87193.8457391451658.37241837560878
0.88196.7412522813928.97341281489485
0.89199.9477292633469.54465037922076
0.9203.48571072475810.0646415126214
0.91207.37566638802210.5230781376995
0.92211.63208895689210.9061383895677
0.93216.24771887130611.1466076625233
0.94221.16904913531811.0951354131739
0.95226.27923051833410.5735421474569
0.96231.4382055304139.48048953196085
0.97236.6792928546637.9843499861895
0.98242.4965607452337.30049906817425
0.99249.2506497853079.82619708096535


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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')