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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 computationMon, 11 Oct 2010 14:52:15 +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/2010/Oct/11/t1286808815mxcpdjw2y86gncw.htm/, Retrieved Tue, 23 Apr 2024 12:48:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82528, Retrieved Tue, 23 Apr 2024 12:48:58 +0000
QR Codes:

Original text written by user:Indexcijfer van de boekenverkoop in Noorwegen (percentielen)
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact108

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] [Boekenverkoop Noo...] [2010-10-11 14:52:15] [d2d436c33b2083ac16b3a67b544ba71f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
90
69.3
87.3
57.4
56.2
61.6
77.7
177.2
97.6
81.6
96.8
191.3
106
75.1
72
63.5
57.4
62.3
79.4
178.1
109.3
85.2
102.7
193.7
108.4
73.4
85.9
58.5
58.6
62.7
77.5
180.5
102.2
82.6
97.8
197.8
93.8
72.4
77.7
58.7
53.1
64.3
76.4
188.4
105.5
79.8
96.1
202.5
97.3
89.5
64.7
61.2
57.8
62
76.3
195
110.9
81.4
101.7
202.2
97.4
68.5
86.8
59.1
62.4
66.2
68
198.5
120.4
90.2
103.2
207.3
106.4
75.5
97.3
60
67.5
71.2
73.7
213.3
114.6
96.1
117
229.2
105.6
99.9
79.3
72.5
67.4
78.3
85.7
177.4
113.6
94.1
105.7
228.3
100.3
70.3
94.2
66.5
64.4
73.7
87.9
152.2
97.3
89.3
107.6
228.4

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82528&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82528&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82528&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0154.55301916333382.18159652897778
0.0256.15609805270821.26440648318488
0.0357.16076694887540.823035748745381
0.0457.76539135109780.749871330832966
0.0558.2324327572190.83808025196503
0.0658.68597041134020.998015065393253
0.0759.17080671850461.19121208891526
0.0859.69698061265681.36595789041845
0.0960.25455830860921.4782982985035
0.160.82333304827351.51990736990488
0.1161.38443776247661.51958460499672
0.1261.92908025850971.52138544292192
0.1362.46031996631241.55888349477913
0.1462.98891589840061.64170817502877
0.1563.52718802594711.75912357533661
0.1664.08434313941571.89208871769383
0.1764.66463157310932.02379683016258
0.1865.26789696108452.14381990890559
0.1965.89129971757872.24877391298373
0.266.53106937086762.34018273792336
0.2167.18361411635172.42076248176006
0.2267.84583178848452.49220967832746
0.2368.51484635755982.55299124814856
0.2469.18757219589972.59927750593594
0.2569.86047981448952.62773801292226
0.2670.52975191782832.63668691915846
0.2771.1917795934592.62875943239883
0.2871.8437726472562.6093234217043
0.2972.48422165919062.58556110159249
0.373.1130503935722.56416607175013
0.3173.73146456772062.54991863785741
0.3274.34164203522042.54522341641845
0.3374.94645392670652.55190941121034
0.3475.54934680474262.57213725587372
0.3576.15439478203732.60940688465102
0.3676.76641318531792.66834849541256
0.3777.39096680720662.75383952411329
0.3878.03412910353982.86867865974813
0.3978.70194077627843.01152023687626
0.479.39963836316173.17633615889257
0.4180.13082880815483.35281169425324
0.4280.89683593902683.52765490407121
0.4381.69642044096163.68786418020181
0.4482.5259815478843.82245159512835
0.4583.38021345746943.92550955829306
0.4684.2530535567923.99648637506492
0.4785.13866604877524.03983595215215
0.4886.03218541111174.06311860838024
0.4986.9300094116214.07415813277269
0.587.82956513938564.07778457265009
0.5188.72863547652964.07402791924439
0.5289.62447847228134.05780420269176
0.5390.51305310377184.01986428552939
0.5491.388654772083.95033576584947
0.5592.24416171949733.84163317166579
0.5693.07192521848453.6925610380755
0.5793.86514722051663.50948927773414
0.5894.61943151501533.30711794466285
0.5995.33411355449353.10591032897392
0.696.012995913752.92984006886232
0.6196.66424030661132.80091016812654
0.6297.29936536855662.73421566216204
0.6397.93152323052052.73390772216429
0.6498.57341989706122.79131370920016
0.6599.2353547297042.88829057947375
0.6699.92385591908373.00192792883665
0.67100.6412870275343.11083328860161
0.68101.38663164173.20020165043391
0.69102.1574867673633.26642449507962
0.7102.9531706817433.31994615357105
0.71103.7788167541613.389450040701
0.72104.6503748757123.52446242221011
0.73105.6004983421283.7992738485544
0.74106.68518911444.31544359119891
0.75107.9905765485935.19805419538068
0.76109.6381328913986.58244105284808
0.77111.7850841603228.58827624570561
0.78114.61541088581311.2780191748811
0.79118.31692788027414.6024558795685
0.8123.04294062841318.3482921659004
0.81128.86343187084822.1172420091942
0.82135.71894829635925.3673108447976
0.83143.39604530809927.5289418571663
0.84151.54112046344128.1686330821318
0.85159.71733391245627.1407097354665
0.86167.49090847492224.6520709577405
0.87174.51815366624421.2001196408504
0.88180.60307250342417.4055402988459
0.89185.70993385212413.8215578728812
0.9189.93766100480810.8115446387947
0.91193.480086843588.54142863383723
0.92196.5993702518497.06633020782349
0.93199.6281322208656.44260667569973
0.94202.9869525847516.77766398905227
0.95207.1484116693218.06460856854127
0.96212.4183500852379.72003859516062
0.97218.48683868603510.1834928033067
0.98224.132182784547.74394471623846
0.99227.8483597905243.23936540147367

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 54.5530191633338 & 2.18159652897778 \tabularnewline
0.02 & 56.1560980527082 & 1.26440648318488 \tabularnewline
0.03 & 57.1607669488754 & 0.823035748745381 \tabularnewline
0.04 & 57.7653913510978 & 0.749871330832966 \tabularnewline
0.05 & 58.232432757219 & 0.83808025196503 \tabularnewline
0.06 & 58.6859704113402 & 0.998015065393253 \tabularnewline
0.07 & 59.1708067185046 & 1.19121208891526 \tabularnewline
0.08 & 59.6969806126568 & 1.36595789041845 \tabularnewline
0.09 & 60.2545583086092 & 1.4782982985035 \tabularnewline
0.1 & 60.8233330482735 & 1.51990736990488 \tabularnewline
0.11 & 61.3844377624766 & 1.51958460499672 \tabularnewline
0.12 & 61.9290802585097 & 1.52138544292192 \tabularnewline
0.13 & 62.4603199663124 & 1.55888349477913 \tabularnewline
0.14 & 62.9889158984006 & 1.64170817502877 \tabularnewline
0.15 & 63.5271880259471 & 1.75912357533661 \tabularnewline
0.16 & 64.0843431394157 & 1.89208871769383 \tabularnewline
0.17 & 64.6646315731093 & 2.02379683016258 \tabularnewline
0.18 & 65.2678969610845 & 2.14381990890559 \tabularnewline
0.19 & 65.8912997175787 & 2.24877391298373 \tabularnewline
0.2 & 66.5310693708676 & 2.34018273792336 \tabularnewline
0.21 & 67.1836141163517 & 2.42076248176006 \tabularnewline
0.22 & 67.8458317884845 & 2.49220967832746 \tabularnewline
0.23 & 68.5148463575598 & 2.55299124814856 \tabularnewline
0.24 & 69.1875721958997 & 2.59927750593594 \tabularnewline
0.25 & 69.8604798144895 & 2.62773801292226 \tabularnewline
0.26 & 70.5297519178283 & 2.63668691915846 \tabularnewline
0.27 & 71.191779593459 & 2.62875943239883 \tabularnewline
0.28 & 71.843772647256 & 2.6093234217043 \tabularnewline
0.29 & 72.4842216591906 & 2.58556110159249 \tabularnewline
0.3 & 73.113050393572 & 2.56416607175013 \tabularnewline
0.31 & 73.7314645677206 & 2.54991863785741 \tabularnewline
0.32 & 74.3416420352204 & 2.54522341641845 \tabularnewline
0.33 & 74.9464539267065 & 2.55190941121034 \tabularnewline
0.34 & 75.5493468047426 & 2.57213725587372 \tabularnewline
0.35 & 76.1543947820373 & 2.60940688465102 \tabularnewline
0.36 & 76.7664131853179 & 2.66834849541256 \tabularnewline
0.37 & 77.3909668072066 & 2.75383952411329 \tabularnewline
0.38 & 78.0341291035398 & 2.86867865974813 \tabularnewline
0.39 & 78.7019407762784 & 3.01152023687626 \tabularnewline
0.4 & 79.3996383631617 & 3.17633615889257 \tabularnewline
0.41 & 80.1308288081548 & 3.35281169425324 \tabularnewline
0.42 & 80.8968359390268 & 3.52765490407121 \tabularnewline
0.43 & 81.6964204409616 & 3.68786418020181 \tabularnewline
0.44 & 82.525981547884 & 3.82245159512835 \tabularnewline
0.45 & 83.3802134574694 & 3.92550955829306 \tabularnewline
0.46 & 84.253053556792 & 3.99648637506492 \tabularnewline
0.47 & 85.1386660487752 & 4.03983595215215 \tabularnewline
0.48 & 86.0321854111117 & 4.06311860838024 \tabularnewline
0.49 & 86.930009411621 & 4.07415813277269 \tabularnewline
0.5 & 87.8295651393856 & 4.07778457265009 \tabularnewline
0.51 & 88.7286354765296 & 4.07402791924439 \tabularnewline
0.52 & 89.6244784722813 & 4.05780420269176 \tabularnewline
0.53 & 90.5130531037718 & 4.01986428552939 \tabularnewline
0.54 & 91.38865477208 & 3.95033576584947 \tabularnewline
0.55 & 92.2441617194973 & 3.84163317166579 \tabularnewline
0.56 & 93.0719252184845 & 3.6925610380755 \tabularnewline
0.57 & 93.8651472205166 & 3.50948927773414 \tabularnewline
0.58 & 94.6194315150153 & 3.30711794466285 \tabularnewline
0.59 & 95.3341135544935 & 3.10591032897392 \tabularnewline
0.6 & 96.01299591375 & 2.92984006886232 \tabularnewline
0.61 & 96.6642403066113 & 2.80091016812654 \tabularnewline
0.62 & 97.2993653685566 & 2.73421566216204 \tabularnewline
0.63 & 97.9315232305205 & 2.73390772216429 \tabularnewline
0.64 & 98.5734198970612 & 2.79131370920016 \tabularnewline
0.65 & 99.235354729704 & 2.88829057947375 \tabularnewline
0.66 & 99.9238559190837 & 3.00192792883665 \tabularnewline
0.67 & 100.641287027534 & 3.11083328860161 \tabularnewline
0.68 & 101.3866316417 & 3.20020165043391 \tabularnewline
0.69 & 102.157486767363 & 3.26642449507962 \tabularnewline
0.7 & 102.953170681743 & 3.31994615357105 \tabularnewline
0.71 & 103.778816754161 & 3.389450040701 \tabularnewline
0.72 & 104.650374875712 & 3.52446242221011 \tabularnewline
0.73 & 105.600498342128 & 3.7992738485544 \tabularnewline
0.74 & 106.6851891144 & 4.31544359119891 \tabularnewline
0.75 & 107.990576548593 & 5.19805419538068 \tabularnewline
0.76 & 109.638132891398 & 6.58244105284808 \tabularnewline
0.77 & 111.785084160322 & 8.58827624570561 \tabularnewline
0.78 & 114.615410885813 & 11.2780191748811 \tabularnewline
0.79 & 118.316927880274 & 14.6024558795685 \tabularnewline
0.8 & 123.042940628413 & 18.3482921659004 \tabularnewline
0.81 & 128.863431870848 & 22.1172420091942 \tabularnewline
0.82 & 135.718948296359 & 25.3673108447976 \tabularnewline
0.83 & 143.396045308099 & 27.5289418571663 \tabularnewline
0.84 & 151.541120463441 & 28.1686330821318 \tabularnewline
0.85 & 159.717333912456 & 27.1407097354665 \tabularnewline
0.86 & 167.490908474922 & 24.6520709577405 \tabularnewline
0.87 & 174.518153666244 & 21.2001196408504 \tabularnewline
0.88 & 180.603072503424 & 17.4055402988459 \tabularnewline
0.89 & 185.709933852124 & 13.8215578728812 \tabularnewline
0.9 & 189.937661004808 & 10.8115446387947 \tabularnewline
0.91 & 193.48008684358 & 8.54142863383723 \tabularnewline
0.92 & 196.599370251849 & 7.06633020782349 \tabularnewline
0.93 & 199.628132220865 & 6.44260667569973 \tabularnewline
0.94 & 202.986952584751 & 6.77766398905227 \tabularnewline
0.95 & 207.148411669321 & 8.06460856854127 \tabularnewline
0.96 & 212.418350085237 & 9.72003859516062 \tabularnewline
0.97 & 218.486838686035 & 10.1834928033067 \tabularnewline
0.98 & 224.13218278454 & 7.74394471623846 \tabularnewline
0.99 & 227.848359790524 & 3.23936540147367 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82528&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]54.5530191633338[/C][C]2.18159652897778[/C][/ROW]
[ROW][C]0.02[/C][C]56.1560980527082[/C][C]1.26440648318488[/C][/ROW]
[ROW][C]0.03[/C][C]57.1607669488754[/C][C]0.823035748745381[/C][/ROW]
[ROW][C]0.04[/C][C]57.7653913510978[/C][C]0.749871330832966[/C][/ROW]
[ROW][C]0.05[/C][C]58.232432757219[/C][C]0.83808025196503[/C][/ROW]
[ROW][C]0.06[/C][C]58.6859704113402[/C][C]0.998015065393253[/C][/ROW]
[ROW][C]0.07[/C][C]59.1708067185046[/C][C]1.19121208891526[/C][/ROW]
[ROW][C]0.08[/C][C]59.6969806126568[/C][C]1.36595789041845[/C][/ROW]
[ROW][C]0.09[/C][C]60.2545583086092[/C][C]1.4782982985035[/C][/ROW]
[ROW][C]0.1[/C][C]60.8233330482735[/C][C]1.51990736990488[/C][/ROW]
[ROW][C]0.11[/C][C]61.3844377624766[/C][C]1.51958460499672[/C][/ROW]
[ROW][C]0.12[/C][C]61.9290802585097[/C][C]1.52138544292192[/C][/ROW]
[ROW][C]0.13[/C][C]62.4603199663124[/C][C]1.55888349477913[/C][/ROW]
[ROW][C]0.14[/C][C]62.9889158984006[/C][C]1.64170817502877[/C][/ROW]
[ROW][C]0.15[/C][C]63.5271880259471[/C][C]1.75912357533661[/C][/ROW]
[ROW][C]0.16[/C][C]64.0843431394157[/C][C]1.89208871769383[/C][/ROW]
[ROW][C]0.17[/C][C]64.6646315731093[/C][C]2.02379683016258[/C][/ROW]
[ROW][C]0.18[/C][C]65.2678969610845[/C][C]2.14381990890559[/C][/ROW]
[ROW][C]0.19[/C][C]65.8912997175787[/C][C]2.24877391298373[/C][/ROW]
[ROW][C]0.2[/C][C]66.5310693708676[/C][C]2.34018273792336[/C][/ROW]
[ROW][C]0.21[/C][C]67.1836141163517[/C][C]2.42076248176006[/C][/ROW]
[ROW][C]0.22[/C][C]67.8458317884845[/C][C]2.49220967832746[/C][/ROW]
[ROW][C]0.23[/C][C]68.5148463575598[/C][C]2.55299124814856[/C][/ROW]
[ROW][C]0.24[/C][C]69.1875721958997[/C][C]2.59927750593594[/C][/ROW]
[ROW][C]0.25[/C][C]69.8604798144895[/C][C]2.62773801292226[/C][/ROW]
[ROW][C]0.26[/C][C]70.5297519178283[/C][C]2.63668691915846[/C][/ROW]
[ROW][C]0.27[/C][C]71.191779593459[/C][C]2.62875943239883[/C][/ROW]
[ROW][C]0.28[/C][C]71.843772647256[/C][C]2.6093234217043[/C][/ROW]
[ROW][C]0.29[/C][C]72.4842216591906[/C][C]2.58556110159249[/C][/ROW]
[ROW][C]0.3[/C][C]73.113050393572[/C][C]2.56416607175013[/C][/ROW]
[ROW][C]0.31[/C][C]73.7314645677206[/C][C]2.54991863785741[/C][/ROW]
[ROW][C]0.32[/C][C]74.3416420352204[/C][C]2.54522341641845[/C][/ROW]
[ROW][C]0.33[/C][C]74.9464539267065[/C][C]2.55190941121034[/C][/ROW]
[ROW][C]0.34[/C][C]75.5493468047426[/C][C]2.57213725587372[/C][/ROW]
[ROW][C]0.35[/C][C]76.1543947820373[/C][C]2.60940688465102[/C][/ROW]
[ROW][C]0.36[/C][C]76.7664131853179[/C][C]2.66834849541256[/C][/ROW]
[ROW][C]0.37[/C][C]77.3909668072066[/C][C]2.75383952411329[/C][/ROW]
[ROW][C]0.38[/C][C]78.0341291035398[/C][C]2.86867865974813[/C][/ROW]
[ROW][C]0.39[/C][C]78.7019407762784[/C][C]3.01152023687626[/C][/ROW]
[ROW][C]0.4[/C][C]79.3996383631617[/C][C]3.17633615889257[/C][/ROW]
[ROW][C]0.41[/C][C]80.1308288081548[/C][C]3.35281169425324[/C][/ROW]
[ROW][C]0.42[/C][C]80.8968359390268[/C][C]3.52765490407121[/C][/ROW]
[ROW][C]0.43[/C][C]81.6964204409616[/C][C]3.68786418020181[/C][/ROW]
[ROW][C]0.44[/C][C]82.525981547884[/C][C]3.82245159512835[/C][/ROW]
[ROW][C]0.45[/C][C]83.3802134574694[/C][C]3.92550955829306[/C][/ROW]
[ROW][C]0.46[/C][C]84.253053556792[/C][C]3.99648637506492[/C][/ROW]
[ROW][C]0.47[/C][C]85.1386660487752[/C][C]4.03983595215215[/C][/ROW]
[ROW][C]0.48[/C][C]86.0321854111117[/C][C]4.06311860838024[/C][/ROW]
[ROW][C]0.49[/C][C]86.930009411621[/C][C]4.07415813277269[/C][/ROW]
[ROW][C]0.5[/C][C]87.8295651393856[/C][C]4.07778457265009[/C][/ROW]
[ROW][C]0.51[/C][C]88.7286354765296[/C][C]4.07402791924439[/C][/ROW]
[ROW][C]0.52[/C][C]89.6244784722813[/C][C]4.05780420269176[/C][/ROW]
[ROW][C]0.53[/C][C]90.5130531037718[/C][C]4.01986428552939[/C][/ROW]
[ROW][C]0.54[/C][C]91.38865477208[/C][C]3.95033576584947[/C][/ROW]
[ROW][C]0.55[/C][C]92.2441617194973[/C][C]3.84163317166579[/C][/ROW]
[ROW][C]0.56[/C][C]93.0719252184845[/C][C]3.6925610380755[/C][/ROW]
[ROW][C]0.57[/C][C]93.8651472205166[/C][C]3.50948927773414[/C][/ROW]
[ROW][C]0.58[/C][C]94.6194315150153[/C][C]3.30711794466285[/C][/ROW]
[ROW][C]0.59[/C][C]95.3341135544935[/C][C]3.10591032897392[/C][/ROW]
[ROW][C]0.6[/C][C]96.01299591375[/C][C]2.92984006886232[/C][/ROW]
[ROW][C]0.61[/C][C]96.6642403066113[/C][C]2.80091016812654[/C][/ROW]
[ROW][C]0.62[/C][C]97.2993653685566[/C][C]2.73421566216204[/C][/ROW]
[ROW][C]0.63[/C][C]97.9315232305205[/C][C]2.73390772216429[/C][/ROW]
[ROW][C]0.64[/C][C]98.5734198970612[/C][C]2.79131370920016[/C][/ROW]
[ROW][C]0.65[/C][C]99.235354729704[/C][C]2.88829057947375[/C][/ROW]
[ROW][C]0.66[/C][C]99.9238559190837[/C][C]3.00192792883665[/C][/ROW]
[ROW][C]0.67[/C][C]100.641287027534[/C][C]3.11083328860161[/C][/ROW]
[ROW][C]0.68[/C][C]101.3866316417[/C][C]3.20020165043391[/C][/ROW]
[ROW][C]0.69[/C][C]102.157486767363[/C][C]3.26642449507962[/C][/ROW]
[ROW][C]0.7[/C][C]102.953170681743[/C][C]3.31994615357105[/C][/ROW]
[ROW][C]0.71[/C][C]103.778816754161[/C][C]3.389450040701[/C][/ROW]
[ROW][C]0.72[/C][C]104.650374875712[/C][C]3.52446242221011[/C][/ROW]
[ROW][C]0.73[/C][C]105.600498342128[/C][C]3.7992738485544[/C][/ROW]
[ROW][C]0.74[/C][C]106.6851891144[/C][C]4.31544359119891[/C][/ROW]
[ROW][C]0.75[/C][C]107.990576548593[/C][C]5.19805419538068[/C][/ROW]
[ROW][C]0.76[/C][C]109.638132891398[/C][C]6.58244105284808[/C][/ROW]
[ROW][C]0.77[/C][C]111.785084160322[/C][C]8.58827624570561[/C][/ROW]
[ROW][C]0.78[/C][C]114.615410885813[/C][C]11.2780191748811[/C][/ROW]
[ROW][C]0.79[/C][C]118.316927880274[/C][C]14.6024558795685[/C][/ROW]
[ROW][C]0.8[/C][C]123.042940628413[/C][C]18.3482921659004[/C][/ROW]
[ROW][C]0.81[/C][C]128.863431870848[/C][C]22.1172420091942[/C][/ROW]
[ROW][C]0.82[/C][C]135.718948296359[/C][C]25.3673108447976[/C][/ROW]
[ROW][C]0.83[/C][C]143.396045308099[/C][C]27.5289418571663[/C][/ROW]
[ROW][C]0.84[/C][C]151.541120463441[/C][C]28.1686330821318[/C][/ROW]
[ROW][C]0.85[/C][C]159.717333912456[/C][C]27.1407097354665[/C][/ROW]
[ROW][C]0.86[/C][C]167.490908474922[/C][C]24.6520709577405[/C][/ROW]
[ROW][C]0.87[/C][C]174.518153666244[/C][C]21.2001196408504[/C][/ROW]
[ROW][C]0.88[/C][C]180.603072503424[/C][C]17.4055402988459[/C][/ROW]
[ROW][C]0.89[/C][C]185.709933852124[/C][C]13.8215578728812[/C][/ROW]
[ROW][C]0.9[/C][C]189.937661004808[/C][C]10.8115446387947[/C][/ROW]
[ROW][C]0.91[/C][C]193.48008684358[/C][C]8.54142863383723[/C][/ROW]
[ROW][C]0.92[/C][C]196.599370251849[/C][C]7.06633020782349[/C][/ROW]
[ROW][C]0.93[/C][C]199.628132220865[/C][C]6.44260667569973[/C][/ROW]
[ROW][C]0.94[/C][C]202.986952584751[/C][C]6.77766398905227[/C][/ROW]
[ROW][C]0.95[/C][C]207.148411669321[/C][C]8.06460856854127[/C][/ROW]
[ROW][C]0.96[/C][C]212.418350085237[/C][C]9.72003859516062[/C][/ROW]
[ROW][C]0.97[/C][C]218.486838686035[/C][C]10.1834928033067[/C][/ROW]
[ROW][C]0.98[/C][C]224.13218278454[/C][C]7.74394471623846[/C][/ROW]
[ROW][C]0.99[/C][C]227.848359790524[/C][C]3.23936540147367[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82528&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82528&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
0.0154.55301916333382.18159652897778
0.0256.15609805270821.26440648318488
0.0357.16076694887540.823035748745381
0.0457.76539135109780.749871330832966
0.0558.2324327572190.83808025196503
0.0658.68597041134020.998015065393253
0.0759.17080671850461.19121208891526
0.0859.69698061265681.36595789041845
0.0960.25455830860921.4782982985035
0.160.82333304827351.51990736990488
0.1161.38443776247661.51958460499672
0.1261.92908025850971.52138544292192
0.1362.46031996631241.55888349477913
0.1462.98891589840061.64170817502877
0.1563.52718802594711.75912357533661
0.1664.08434313941571.89208871769383
0.1764.66463157310932.02379683016258
0.1865.26789696108452.14381990890559
0.1965.89129971757872.24877391298373
0.266.53106937086762.34018273792336
0.2167.18361411635172.42076248176006
0.2267.84583178848452.49220967832746
0.2368.51484635755982.55299124814856
0.2469.18757219589972.59927750593594
0.2569.86047981448952.62773801292226
0.2670.52975191782832.63668691915846
0.2771.1917795934592.62875943239883
0.2871.8437726472562.6093234217043
0.2972.48422165919062.58556110159249
0.373.1130503935722.56416607175013
0.3173.73146456772062.54991863785741
0.3274.34164203522042.54522341641845
0.3374.94645392670652.55190941121034
0.3475.54934680474262.57213725587372
0.3576.15439478203732.60940688465102
0.3676.76641318531792.66834849541256
0.3777.39096680720662.75383952411329
0.3878.03412910353982.86867865974813
0.3978.70194077627843.01152023687626
0.479.39963836316173.17633615889257
0.4180.13082880815483.35281169425324
0.4280.89683593902683.52765490407121
0.4381.69642044096163.68786418020181
0.4482.5259815478843.82245159512835
0.4583.38021345746943.92550955829306
0.4684.2530535567923.99648637506492
0.4785.13866604877524.03983595215215
0.4886.03218541111174.06311860838024
0.4986.9300094116214.07415813277269
0.587.82956513938564.07778457265009
0.5188.72863547652964.07402791924439
0.5289.62447847228134.05780420269176
0.5390.51305310377184.01986428552939
0.5491.388654772083.95033576584947
0.5592.24416171949733.84163317166579
0.5693.07192521848453.6925610380755
0.5793.86514722051663.50948927773414
0.5894.61943151501533.30711794466285
0.5995.33411355449353.10591032897392
0.696.012995913752.92984006886232
0.6196.66424030661132.80091016812654
0.6297.29936536855662.73421566216204
0.6397.93152323052052.73390772216429
0.6498.57341989706122.79131370920016
0.6599.2353547297042.88829057947375
0.6699.92385591908373.00192792883665
0.67100.6412870275343.11083328860161
0.68101.38663164173.20020165043391
0.69102.1574867673633.26642449507962
0.7102.9531706817433.31994615357105
0.71103.7788167541613.389450040701
0.72104.6503748757123.52446242221011
0.73105.6004983421283.7992738485544
0.74106.68518911444.31544359119891
0.75107.9905765485935.19805419538068
0.76109.6381328913986.58244105284808
0.77111.7850841603228.58827624570561
0.78114.61541088581311.2780191748811
0.79118.31692788027414.6024558795685
0.8123.04294062841318.3482921659004
0.81128.86343187084822.1172420091942
0.82135.71894829635925.3673108447976
0.83143.39604530809927.5289418571663
0.84151.54112046344128.1686330821318
0.85159.71733391245627.1407097354665
0.86167.49090847492224.6520709577405
0.87174.51815366624421.2001196408504
0.88180.60307250342417.4055402988459
0.89185.70993385212413.8215578728812
0.9189.93766100480810.8115446387947
0.91193.480086843588.54142863383723
0.92196.5993702518497.06633020782349
0.93199.6281322208656.44260667569973
0.94202.9869525847516.77766398905227
0.95207.1484116693218.06460856854127
0.96212.4183500852379.72003859516062
0.97218.48683868603510.1834928033067
0.98224.132182784547.74394471623846
0.99227.8483597905243.23936540147367


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')