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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 computationFri, 26 Feb 2016 10:03:47 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Feb/26/t14564811136wua778ckee4n9i.htm/, Retrieved Thu, 02 May 2024 14:06:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292727, Retrieved Thu, 02 May 2024 14:06:02 +0000
QR Codes:

Original text written by user:De Harrel-Davis percentielen van mijn eigen reeks
IsPrivate?No (this computation is public)
User-defined keywordsHarrel-Davis
Estimated Impact82

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 perc...] [2016-02-26 10:03:47] [e4d5996ec1d92865aa4adcf79ec8f71a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
106.6
113.5
109.3
105.9
109.2
101.7
106.2
105.7
106.2
107.6
109
107.6
108.5
105.6
106
106.7
109.9
106.6
115.3
110.6
107.6
97.4
110.6
102.4
96.7
105.3
90.7
97.5
97.8
96
98.7
101.4
98.7
99.8
93
94.7
95.8
102.5
96.2
112.8
103.8
99
103.9
125.3
112.9
105.9
106.2
96.2
105.5
102.6
104.7
111
109.2
108.3
106.7
103.6
103.9
104.7
112.4
103.1
129.1
114.9
107.6
96.9
105.9
100.9
97.4
110.3
89
94.3
97.9
95.1
97.8
103.8
98.9
106.9
97.1
99.5
101.1
101.1
94.6
112.5
102.6
100.1
92.1
101.7
93.9
86
95.9
88.7
93.4
92.7
87.6
86.5
88.6
87.6
81.7
76.6
77.7
78.7
93.1
91.8
97.3
94.3
88.4
115.6
116.3
115.9
114.8
113
112.7
114.8
113.5
116.2
116.3
116.5
116.3
116.9
117.9
117.1
117.3
117.3
116.7
117.7
117.2
116.1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292727&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292727&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292727&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0177.69579016849211.75320893269254
0.0279.7957554328873.07564028783526
0.0382.29210966496813.50352168197403
0.0484.5558829431212.94034836909637
0.0586.2490551093452.14042001436655
0.0687.42047649123031.63704203644249
0.0788.28653330766641.51618328009863
0.0889.0358222263571.62033291177087
0.0989.76678220608871.76777477286015
0.190.50118497537991.8423044188157
0.1191.21858874196861.80506013098606
0.1291.88830771620531.67886952158098
0.1392.48977010639191.51629812223806
0.1493.01907172215181.36533113468114
0.1593.48538539719471.25192481480595
0.1693.9035517949971.17898191094021
0.1794.28780845859561.13623280317484
0.1894.64855584757191.11003558794185
0.1994.99177968297911.08823423787654
0.295.31996889536611.06381462500442
0.2195.63353593101411.03354553042353
0.2295.93215806772830.998304748523826
0.2396.21578493813480.961627533820858
0.2496.48525905213090.928122853757862
0.2596.74260338559540.90277536748807
0.2696.99105851183780.890721811936464
0.2797.234924185190.89627128549529
0.2897.47922367561360.9222109222322
0.2997.72920664650480.968894759739596
0.397.98974390341381.03328354385217
0.3198.2647143861171.11012284447339
0.3298.55650498206961.19225040587977
0.3398.86572326372351.27201465081628
0.3499.19117445503991.34265612519957
0.3599.53009904481521.39790672428001
0.3699.8786217051781.43494025972441
0.37100.2323297064381.45246189528771
0.38100.5868797937761.45171561095025
0.39100.9385291289881.43703606010964
0.4101.2845030186031.41265487020375
0.41101.6231498228541.38388515703823
0.42101.9538823747671.35470749113156
0.43102.2769492632161.32805539430325
0.44102.593104036991.30531072757422
0.45102.9032414976641.28614129558699
0.46103.2080555608131.26885699761127
0.47103.5077566369291.25095366113537
0.48103.8018786015881.22921758494545
0.49104.0892062896291.20022874361662
0.5104.3678541330971.16105060380374
0.51104.6355125577791.11039379766545
0.52104.8898457367141.04903029821498
0.53105.1289798338780.979243959768736
0.54105.3519830202030.906649483095475
0.55105.5592264463340.837516489402487
0.56105.7525383450890.778569357893194
0.57105.9351152932590.736248558914633
0.58106.1112164044520.714340225493601
0.59106.2857155625930.714572574044019
0.6106.4636086220540.736092038143682
0.61106.6495646735230.775743384204731
0.62106.8475826768080.829532495439558
0.63107.0607819316290.893045478193708
0.64107.2913293358190.961658587995622
0.65107.5404924567361.03214381013925
0.66107.8088003655461.1013125485963
0.67108.0962839689231.16757248978918
0.68108.4027464680981.23078677145482
0.69108.7279853535751.2910852912645
0.7109.0718675838661.34956246863415
0.71109.4341766489951.40597136039043
0.72109.8142248506051.45812573615472
0.73110.2103483887281.50146345019179
0.74110.6195261448581.52957949505709
0.75111.0374031917721.53702360121314
0.76111.4588864074571.52128501277514
0.77111.8792131103891.4858662058005
0.78112.2950839145841.43866559289514
0.79112.7052851894661.39010346288656
0.8113.1103606869571.3476268536883
0.81113.5113213670421.31154021462388
0.82113.9078963647441.27416760286184
0.83114.2971208257241.2239712045942
0.84114.6729444907661.15077120536304
0.85115.0271147972961.0502154670356
0.86115.3511188870410.925426366799749
0.87115.6386725748150.78696291928012
0.88115.8880845258760.650560371820124
0.89116.1036467055270.534431572611438
0.9116.2950914847310.453883253130527
0.91116.4745877496560.412334282669681
0.92116.6522241555620.395773777131491
0.93116.833475291950.382038090650639
0.94117.0261303211560.364638633477947
0.95117.2736343111860.399363029987276
0.96117.7504264900310.727511760110615
0.97118.9300532769991.80695230384788
0.98121.5732042258483.67539028456039
0.99125.7837576766554.59202494033522

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 77.6957901684921 & 1.75320893269254 \tabularnewline
0.02 & 79.795755432887 & 3.07564028783526 \tabularnewline
0.03 & 82.2921096649681 & 3.50352168197403 \tabularnewline
0.04 & 84.555882943121 & 2.94034836909637 \tabularnewline
0.05 & 86.249055109345 & 2.14042001436655 \tabularnewline
0.06 & 87.4204764912303 & 1.63704203644249 \tabularnewline
0.07 & 88.2865333076664 & 1.51618328009863 \tabularnewline
0.08 & 89.035822226357 & 1.62033291177087 \tabularnewline
0.09 & 89.7667822060887 & 1.76777477286015 \tabularnewline
0.1 & 90.5011849753799 & 1.8423044188157 \tabularnewline
0.11 & 91.2185887419686 & 1.80506013098606 \tabularnewline
0.12 & 91.8883077162053 & 1.67886952158098 \tabularnewline
0.13 & 92.4897701063919 & 1.51629812223806 \tabularnewline
0.14 & 93.0190717221518 & 1.36533113468114 \tabularnewline
0.15 & 93.4853853971947 & 1.25192481480595 \tabularnewline
0.16 & 93.903551794997 & 1.17898191094021 \tabularnewline
0.17 & 94.2878084585956 & 1.13623280317484 \tabularnewline
0.18 & 94.6485558475719 & 1.11003558794185 \tabularnewline
0.19 & 94.9917796829791 & 1.08823423787654 \tabularnewline
0.2 & 95.3199688953661 & 1.06381462500442 \tabularnewline
0.21 & 95.6335359310141 & 1.03354553042353 \tabularnewline
0.22 & 95.9321580677283 & 0.998304748523826 \tabularnewline
0.23 & 96.2157849381348 & 0.961627533820858 \tabularnewline
0.24 & 96.4852590521309 & 0.928122853757862 \tabularnewline
0.25 & 96.7426033855954 & 0.90277536748807 \tabularnewline
0.26 & 96.9910585118378 & 0.890721811936464 \tabularnewline
0.27 & 97.23492418519 & 0.89627128549529 \tabularnewline
0.28 & 97.4792236756136 & 0.9222109222322 \tabularnewline
0.29 & 97.7292066465048 & 0.968894759739596 \tabularnewline
0.3 & 97.9897439034138 & 1.03328354385217 \tabularnewline
0.31 & 98.264714386117 & 1.11012284447339 \tabularnewline
0.32 & 98.5565049820696 & 1.19225040587977 \tabularnewline
0.33 & 98.8657232637235 & 1.27201465081628 \tabularnewline
0.34 & 99.1911744550399 & 1.34265612519957 \tabularnewline
0.35 & 99.5300990448152 & 1.39790672428001 \tabularnewline
0.36 & 99.878621705178 & 1.43494025972441 \tabularnewline
0.37 & 100.232329706438 & 1.45246189528771 \tabularnewline
0.38 & 100.586879793776 & 1.45171561095025 \tabularnewline
0.39 & 100.938529128988 & 1.43703606010964 \tabularnewline
0.4 & 101.284503018603 & 1.41265487020375 \tabularnewline
0.41 & 101.623149822854 & 1.38388515703823 \tabularnewline
0.42 & 101.953882374767 & 1.35470749113156 \tabularnewline
0.43 & 102.276949263216 & 1.32805539430325 \tabularnewline
0.44 & 102.59310403699 & 1.30531072757422 \tabularnewline
0.45 & 102.903241497664 & 1.28614129558699 \tabularnewline
0.46 & 103.208055560813 & 1.26885699761127 \tabularnewline
0.47 & 103.507756636929 & 1.25095366113537 \tabularnewline
0.48 & 103.801878601588 & 1.22921758494545 \tabularnewline
0.49 & 104.089206289629 & 1.20022874361662 \tabularnewline
0.5 & 104.367854133097 & 1.16105060380374 \tabularnewline
0.51 & 104.635512557779 & 1.11039379766545 \tabularnewline
0.52 & 104.889845736714 & 1.04903029821498 \tabularnewline
0.53 & 105.128979833878 & 0.979243959768736 \tabularnewline
0.54 & 105.351983020203 & 0.906649483095475 \tabularnewline
0.55 & 105.559226446334 & 0.837516489402487 \tabularnewline
0.56 & 105.752538345089 & 0.778569357893194 \tabularnewline
0.57 & 105.935115293259 & 0.736248558914633 \tabularnewline
0.58 & 106.111216404452 & 0.714340225493601 \tabularnewline
0.59 & 106.285715562593 & 0.714572574044019 \tabularnewline
0.6 & 106.463608622054 & 0.736092038143682 \tabularnewline
0.61 & 106.649564673523 & 0.775743384204731 \tabularnewline
0.62 & 106.847582676808 & 0.829532495439558 \tabularnewline
0.63 & 107.060781931629 & 0.893045478193708 \tabularnewline
0.64 & 107.291329335819 & 0.961658587995622 \tabularnewline
0.65 & 107.540492456736 & 1.03214381013925 \tabularnewline
0.66 & 107.808800365546 & 1.1013125485963 \tabularnewline
0.67 & 108.096283968923 & 1.16757248978918 \tabularnewline
0.68 & 108.402746468098 & 1.23078677145482 \tabularnewline
0.69 & 108.727985353575 & 1.2910852912645 \tabularnewline
0.7 & 109.071867583866 & 1.34956246863415 \tabularnewline
0.71 & 109.434176648995 & 1.40597136039043 \tabularnewline
0.72 & 109.814224850605 & 1.45812573615472 \tabularnewline
0.73 & 110.210348388728 & 1.50146345019179 \tabularnewline
0.74 & 110.619526144858 & 1.52957949505709 \tabularnewline
0.75 & 111.037403191772 & 1.53702360121314 \tabularnewline
0.76 & 111.458886407457 & 1.52128501277514 \tabularnewline
0.77 & 111.879213110389 & 1.4858662058005 \tabularnewline
0.78 & 112.295083914584 & 1.43866559289514 \tabularnewline
0.79 & 112.705285189466 & 1.39010346288656 \tabularnewline
0.8 & 113.110360686957 & 1.3476268536883 \tabularnewline
0.81 & 113.511321367042 & 1.31154021462388 \tabularnewline
0.82 & 113.907896364744 & 1.27416760286184 \tabularnewline
0.83 & 114.297120825724 & 1.2239712045942 \tabularnewline
0.84 & 114.672944490766 & 1.15077120536304 \tabularnewline
0.85 & 115.027114797296 & 1.0502154670356 \tabularnewline
0.86 & 115.351118887041 & 0.925426366799749 \tabularnewline
0.87 & 115.638672574815 & 0.78696291928012 \tabularnewline
0.88 & 115.888084525876 & 0.650560371820124 \tabularnewline
0.89 & 116.103646705527 & 0.534431572611438 \tabularnewline
0.9 & 116.295091484731 & 0.453883253130527 \tabularnewline
0.91 & 116.474587749656 & 0.412334282669681 \tabularnewline
0.92 & 116.652224155562 & 0.395773777131491 \tabularnewline
0.93 & 116.83347529195 & 0.382038090650639 \tabularnewline
0.94 & 117.026130321156 & 0.364638633477947 \tabularnewline
0.95 & 117.273634311186 & 0.399363029987276 \tabularnewline
0.96 & 117.750426490031 & 0.727511760110615 \tabularnewline
0.97 & 118.930053276999 & 1.80695230384788 \tabularnewline
0.98 & 121.573204225848 & 3.67539028456039 \tabularnewline
0.99 & 125.783757676655 & 4.59202494033522 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292727&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]77.6957901684921[/C][C]1.75320893269254[/C][/ROW]
[ROW][C]0.02[/C][C]79.795755432887[/C][C]3.07564028783526[/C][/ROW]
[ROW][C]0.03[/C][C]82.2921096649681[/C][C]3.50352168197403[/C][/ROW]
[ROW][C]0.04[/C][C]84.555882943121[/C][C]2.94034836909637[/C][/ROW]
[ROW][C]0.05[/C][C]86.249055109345[/C][C]2.14042001436655[/C][/ROW]
[ROW][C]0.06[/C][C]87.4204764912303[/C][C]1.63704203644249[/C][/ROW]
[ROW][C]0.07[/C][C]88.2865333076664[/C][C]1.51618328009863[/C][/ROW]
[ROW][C]0.08[/C][C]89.035822226357[/C][C]1.62033291177087[/C][/ROW]
[ROW][C]0.09[/C][C]89.7667822060887[/C][C]1.76777477286015[/C][/ROW]
[ROW][C]0.1[/C][C]90.5011849753799[/C][C]1.8423044188157[/C][/ROW]
[ROW][C]0.11[/C][C]91.2185887419686[/C][C]1.80506013098606[/C][/ROW]
[ROW][C]0.12[/C][C]91.8883077162053[/C][C]1.67886952158098[/C][/ROW]
[ROW][C]0.13[/C][C]92.4897701063919[/C][C]1.51629812223806[/C][/ROW]
[ROW][C]0.14[/C][C]93.0190717221518[/C][C]1.36533113468114[/C][/ROW]
[ROW][C]0.15[/C][C]93.4853853971947[/C][C]1.25192481480595[/C][/ROW]
[ROW][C]0.16[/C][C]93.903551794997[/C][C]1.17898191094021[/C][/ROW]
[ROW][C]0.17[/C][C]94.2878084585956[/C][C]1.13623280317484[/C][/ROW]
[ROW][C]0.18[/C][C]94.6485558475719[/C][C]1.11003558794185[/C][/ROW]
[ROW][C]0.19[/C][C]94.9917796829791[/C][C]1.08823423787654[/C][/ROW]
[ROW][C]0.2[/C][C]95.3199688953661[/C][C]1.06381462500442[/C][/ROW]
[ROW][C]0.21[/C][C]95.6335359310141[/C][C]1.03354553042353[/C][/ROW]
[ROW][C]0.22[/C][C]95.9321580677283[/C][C]0.998304748523826[/C][/ROW]
[ROW][C]0.23[/C][C]96.2157849381348[/C][C]0.961627533820858[/C][/ROW]
[ROW][C]0.24[/C][C]96.4852590521309[/C][C]0.928122853757862[/C][/ROW]
[ROW][C]0.25[/C][C]96.7426033855954[/C][C]0.90277536748807[/C][/ROW]
[ROW][C]0.26[/C][C]96.9910585118378[/C][C]0.890721811936464[/C][/ROW]
[ROW][C]0.27[/C][C]97.23492418519[/C][C]0.89627128549529[/C][/ROW]
[ROW][C]0.28[/C][C]97.4792236756136[/C][C]0.9222109222322[/C][/ROW]
[ROW][C]0.29[/C][C]97.7292066465048[/C][C]0.968894759739596[/C][/ROW]
[ROW][C]0.3[/C][C]97.9897439034138[/C][C]1.03328354385217[/C][/ROW]
[ROW][C]0.31[/C][C]98.264714386117[/C][C]1.11012284447339[/C][/ROW]
[ROW][C]0.32[/C][C]98.5565049820696[/C][C]1.19225040587977[/C][/ROW]
[ROW][C]0.33[/C][C]98.8657232637235[/C][C]1.27201465081628[/C][/ROW]
[ROW][C]0.34[/C][C]99.1911744550399[/C][C]1.34265612519957[/C][/ROW]
[ROW][C]0.35[/C][C]99.5300990448152[/C][C]1.39790672428001[/C][/ROW]
[ROW][C]0.36[/C][C]99.878621705178[/C][C]1.43494025972441[/C][/ROW]
[ROW][C]0.37[/C][C]100.232329706438[/C][C]1.45246189528771[/C][/ROW]
[ROW][C]0.38[/C][C]100.586879793776[/C][C]1.45171561095025[/C][/ROW]
[ROW][C]0.39[/C][C]100.938529128988[/C][C]1.43703606010964[/C][/ROW]
[ROW][C]0.4[/C][C]101.284503018603[/C][C]1.41265487020375[/C][/ROW]
[ROW][C]0.41[/C][C]101.623149822854[/C][C]1.38388515703823[/C][/ROW]
[ROW][C]0.42[/C][C]101.953882374767[/C][C]1.35470749113156[/C][/ROW]
[ROW][C]0.43[/C][C]102.276949263216[/C][C]1.32805539430325[/C][/ROW]
[ROW][C]0.44[/C][C]102.59310403699[/C][C]1.30531072757422[/C][/ROW]
[ROW][C]0.45[/C][C]102.903241497664[/C][C]1.28614129558699[/C][/ROW]
[ROW][C]0.46[/C][C]103.208055560813[/C][C]1.26885699761127[/C][/ROW]
[ROW][C]0.47[/C][C]103.507756636929[/C][C]1.25095366113537[/C][/ROW]
[ROW][C]0.48[/C][C]103.801878601588[/C][C]1.22921758494545[/C][/ROW]
[ROW][C]0.49[/C][C]104.089206289629[/C][C]1.20022874361662[/C][/ROW]
[ROW][C]0.5[/C][C]104.367854133097[/C][C]1.16105060380374[/C][/ROW]
[ROW][C]0.51[/C][C]104.635512557779[/C][C]1.11039379766545[/C][/ROW]
[ROW][C]0.52[/C][C]104.889845736714[/C][C]1.04903029821498[/C][/ROW]
[ROW][C]0.53[/C][C]105.128979833878[/C][C]0.979243959768736[/C][/ROW]
[ROW][C]0.54[/C][C]105.351983020203[/C][C]0.906649483095475[/C][/ROW]
[ROW][C]0.55[/C][C]105.559226446334[/C][C]0.837516489402487[/C][/ROW]
[ROW][C]0.56[/C][C]105.752538345089[/C][C]0.778569357893194[/C][/ROW]
[ROW][C]0.57[/C][C]105.935115293259[/C][C]0.736248558914633[/C][/ROW]
[ROW][C]0.58[/C][C]106.111216404452[/C][C]0.714340225493601[/C][/ROW]
[ROW][C]0.59[/C][C]106.285715562593[/C][C]0.714572574044019[/C][/ROW]
[ROW][C]0.6[/C][C]106.463608622054[/C][C]0.736092038143682[/C][/ROW]
[ROW][C]0.61[/C][C]106.649564673523[/C][C]0.775743384204731[/C][/ROW]
[ROW][C]0.62[/C][C]106.847582676808[/C][C]0.829532495439558[/C][/ROW]
[ROW][C]0.63[/C][C]107.060781931629[/C][C]0.893045478193708[/C][/ROW]
[ROW][C]0.64[/C][C]107.291329335819[/C][C]0.961658587995622[/C][/ROW]
[ROW][C]0.65[/C][C]107.540492456736[/C][C]1.03214381013925[/C][/ROW]
[ROW][C]0.66[/C][C]107.808800365546[/C][C]1.1013125485963[/C][/ROW]
[ROW][C]0.67[/C][C]108.096283968923[/C][C]1.16757248978918[/C][/ROW]
[ROW][C]0.68[/C][C]108.402746468098[/C][C]1.23078677145482[/C][/ROW]
[ROW][C]0.69[/C][C]108.727985353575[/C][C]1.2910852912645[/C][/ROW]
[ROW][C]0.7[/C][C]109.071867583866[/C][C]1.34956246863415[/C][/ROW]
[ROW][C]0.71[/C][C]109.434176648995[/C][C]1.40597136039043[/C][/ROW]
[ROW][C]0.72[/C][C]109.814224850605[/C][C]1.45812573615472[/C][/ROW]
[ROW][C]0.73[/C][C]110.210348388728[/C][C]1.50146345019179[/C][/ROW]
[ROW][C]0.74[/C][C]110.619526144858[/C][C]1.52957949505709[/C][/ROW]
[ROW][C]0.75[/C][C]111.037403191772[/C][C]1.53702360121314[/C][/ROW]
[ROW][C]0.76[/C][C]111.458886407457[/C][C]1.52128501277514[/C][/ROW]
[ROW][C]0.77[/C][C]111.879213110389[/C][C]1.4858662058005[/C][/ROW]
[ROW][C]0.78[/C][C]112.295083914584[/C][C]1.43866559289514[/C][/ROW]
[ROW][C]0.79[/C][C]112.705285189466[/C][C]1.39010346288656[/C][/ROW]
[ROW][C]0.8[/C][C]113.110360686957[/C][C]1.3476268536883[/C][/ROW]
[ROW][C]0.81[/C][C]113.511321367042[/C][C]1.31154021462388[/C][/ROW]
[ROW][C]0.82[/C][C]113.907896364744[/C][C]1.27416760286184[/C][/ROW]
[ROW][C]0.83[/C][C]114.297120825724[/C][C]1.2239712045942[/C][/ROW]
[ROW][C]0.84[/C][C]114.672944490766[/C][C]1.15077120536304[/C][/ROW]
[ROW][C]0.85[/C][C]115.027114797296[/C][C]1.0502154670356[/C][/ROW]
[ROW][C]0.86[/C][C]115.351118887041[/C][C]0.925426366799749[/C][/ROW]
[ROW][C]0.87[/C][C]115.638672574815[/C][C]0.78696291928012[/C][/ROW]
[ROW][C]0.88[/C][C]115.888084525876[/C][C]0.650560371820124[/C][/ROW]
[ROW][C]0.89[/C][C]116.103646705527[/C][C]0.534431572611438[/C][/ROW]
[ROW][C]0.9[/C][C]116.295091484731[/C][C]0.453883253130527[/C][/ROW]
[ROW][C]0.91[/C][C]116.474587749656[/C][C]0.412334282669681[/C][/ROW]
[ROW][C]0.92[/C][C]116.652224155562[/C][C]0.395773777131491[/C][/ROW]
[ROW][C]0.93[/C][C]116.83347529195[/C][C]0.382038090650639[/C][/ROW]
[ROW][C]0.94[/C][C]117.026130321156[/C][C]0.364638633477947[/C][/ROW]
[ROW][C]0.95[/C][C]117.273634311186[/C][C]0.399363029987276[/C][/ROW]
[ROW][C]0.96[/C][C]117.750426490031[/C][C]0.727511760110615[/C][/ROW]
[ROW][C]0.97[/C][C]118.930053276999[/C][C]1.80695230384788[/C][/ROW]
[ROW][C]0.98[/C][C]121.573204225848[/C][C]3.67539028456039[/C][/ROW]
[ROW][C]0.99[/C][C]125.783757676655[/C][C]4.59202494033522[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292727&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292727&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
0.0177.69579016849211.75320893269254
0.0279.7957554328873.07564028783526
0.0382.29210966496813.50352168197403
0.0484.5558829431212.94034836909637
0.0586.2490551093452.14042001436655
0.0687.42047649123031.63704203644249
0.0788.28653330766641.51618328009863
0.0889.0358222263571.62033291177087
0.0989.76678220608871.76777477286015
0.190.50118497537991.8423044188157
0.1191.21858874196861.80506013098606
0.1291.88830771620531.67886952158098
0.1392.48977010639191.51629812223806
0.1493.01907172215181.36533113468114
0.1593.48538539719471.25192481480595
0.1693.9035517949971.17898191094021
0.1794.28780845859561.13623280317484
0.1894.64855584757191.11003558794185
0.1994.99177968297911.08823423787654
0.295.31996889536611.06381462500442
0.2195.63353593101411.03354553042353
0.2295.93215806772830.998304748523826
0.2396.21578493813480.961627533820858
0.2496.48525905213090.928122853757862
0.2596.74260338559540.90277536748807
0.2696.99105851183780.890721811936464
0.2797.234924185190.89627128549529
0.2897.47922367561360.9222109222322
0.2997.72920664650480.968894759739596
0.397.98974390341381.03328354385217
0.3198.2647143861171.11012284447339
0.3298.55650498206961.19225040587977
0.3398.86572326372351.27201465081628
0.3499.19117445503991.34265612519957
0.3599.53009904481521.39790672428001
0.3699.8786217051781.43494025972441
0.37100.2323297064381.45246189528771
0.38100.5868797937761.45171561095025
0.39100.9385291289881.43703606010964
0.4101.2845030186031.41265487020375
0.41101.6231498228541.38388515703823
0.42101.9538823747671.35470749113156
0.43102.2769492632161.32805539430325
0.44102.593104036991.30531072757422
0.45102.9032414976641.28614129558699
0.46103.2080555608131.26885699761127
0.47103.5077566369291.25095366113537
0.48103.8018786015881.22921758494545
0.49104.0892062896291.20022874361662
0.5104.3678541330971.16105060380374
0.51104.6355125577791.11039379766545
0.52104.8898457367141.04903029821498
0.53105.1289798338780.979243959768736
0.54105.3519830202030.906649483095475
0.55105.5592264463340.837516489402487
0.56105.7525383450890.778569357893194
0.57105.9351152932590.736248558914633
0.58106.1112164044520.714340225493601
0.59106.2857155625930.714572574044019
0.6106.4636086220540.736092038143682
0.61106.6495646735230.775743384204731
0.62106.8475826768080.829532495439558
0.63107.0607819316290.893045478193708
0.64107.2913293358190.961658587995622
0.65107.5404924567361.03214381013925
0.66107.8088003655461.1013125485963
0.67108.0962839689231.16757248978918
0.68108.4027464680981.23078677145482
0.69108.7279853535751.2910852912645
0.7109.0718675838661.34956246863415
0.71109.4341766489951.40597136039043
0.72109.8142248506051.45812573615472
0.73110.2103483887281.50146345019179
0.74110.6195261448581.52957949505709
0.75111.0374031917721.53702360121314
0.76111.4588864074571.52128501277514
0.77111.8792131103891.4858662058005
0.78112.2950839145841.43866559289514
0.79112.7052851894661.39010346288656
0.8113.1103606869571.3476268536883
0.81113.5113213670421.31154021462388
0.82113.9078963647441.27416760286184
0.83114.2971208257241.2239712045942
0.84114.6729444907661.15077120536304
0.85115.0271147972961.0502154670356
0.86115.3511188870410.925426366799749
0.87115.6386725748150.78696291928012
0.88115.8880845258760.650560371820124
0.89116.1036467055270.534431572611438
0.9116.2950914847310.453883253130527
0.91116.4745877496560.412334282669681
0.92116.6522241555620.395773777131491
0.93116.833475291950.382038090650639
0.94117.0261303211560.364638633477947
0.95117.2736343111860.399363029987276
0.96117.7504264900310.727511760110615
0.97118.9300532769991.80695230384788
0.98121.5732042258483.67539028456039
0.99125.7837576766554.59202494033522


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')