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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, 09 Oct 2015 17:16:52 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/09/t1444407428fc0zvfd00pkzy7l.htm/, Retrieved Tue, 14 May 2024 19:34:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281960, Retrieved Tue, 14 May 2024 19:34:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact49

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] [Consumptieprijzen...] [2015-10-09 16:16:52] [c53767938e2c856c14b03e8e32322294] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98.85
98.86
98.86
98.89
98.85
98.85
98.85
98.96
98.99
99.21
99.29
99.32
99.32
99.17
99.13
99.12
99.23
99.25
99.25
99.36
99.43
99.57
99.64
99.68
99.68
99.52
99.69
99.7
99.85
99.94
99.94
99.93
100.19
100.57
100.76
100.86
100.86
100.39
100.61
100.67
100.81
100.86
100.86
100.98
101.03
101.37
101.64
101.68
101.68
101.25
101.24
101.11
101.08
101.09
101.09
101.62
101.66
101.96
102.04
102.02
102.02
101.51
101.62
101.83
102.06
102.14
102.14
102.59
102.92
103.31
103.54
103.58
103.58
102.83
102.86
103.03
103.2
103.28
103.28
103.79
103.92
104.26
104.41
104.45
99.92
99.18
99.18
99.35
99.62
99.67
99.72
100.08
100.39
100.77
101.03
101.07
101.29
101.1
101.2
101.15
101.24
101.16
100.81
101.02
101.15
101.06
101.17
101.22

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'Gertrude Mary Cox' @ cox.wessa.net

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281960&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281960&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281960&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0198.8503722322310.00134521316259048
0.0298.85253791411960.00690460856862597
0.0398.85909803307770.0196583159097673
0.0498.8731368038090.0403859963046856
0.0598.8969336783370.0660322203740406
0.0698.93069940937110.0902950068043331
0.0798.97215498925980.106879188239974
0.0899.01730069590080.112717136354656
0.0999.06189564228110.10857494284357
0.199.10279606534890.0983998374448189
0.1199.13858070949240.0868107746980025
0.1299.16942052067240.0776140128244186
0.1399.19651207835840.073060011669898
0.1499.22145556649370.0731057180287785
0.1599.24581234195050.0775404062903478
0.1699.27088758928820.0854204803444458
0.1799.29766401160730.0958053928174562
0.1899.32679002046950.107862498755358
0.1999.3585667844760.120428608962128
0.299.39293323696220.13173653231754
0.2199.42948153660090.140798525178215
0.2299.4675356813190.146749772601504
0.2399.50630046481770.149113597215456
0.2499.54505452423230.148792578279436
0.2599.5833381236960.147427932851386
0.2699.621084246930.146777434932781
0.2799.65865997609610.148986151578605
0.2899.69681410327230.155624398486692
0.2999.73655320996210.167311858544695
0.399.77898218201410.18389407039824
0.3199.82514381249150.204737853061612
0.3299.87588049133310.228607224957242
0.3399.93172726836950.253839077130656
0.3499.99283690383440.278879751686401
0.35100.0589364305840.301710007831735
0.36100.1293187290320.320325242088595
0.37100.2028763184940.333055869266729
0.38100.2781832764570.338606070178499
0.39100.3536234897760.336411743143178
0.4100.4275517929610.326738558333969
0.41100.4984638041570.310388929164743
0.42100.5651451015260.288963341987693
0.43100.6267731588240.264882196355122
0.44100.6829554668430.239750258820485
0.45100.7337013622340.215616780077912
0.46100.779339137170.193604541680427
0.47100.8204003576480.174496887720923
0.48100.857497745420.158509557706493
0.49100.891221000890.145045774309247
0.5100.9220676809890.133581865197654
0.51100.9504159688630.12338225652025
0.52100.9765356901160.113854619668087
0.53101.0006258847320.104991015503497
0.54101.0228634312250.0966939111499771
0.55101.0434481241550.0892230536098834
0.56101.0626343121350.0829616975951933
0.57101.0807457453660.078379330513734
0.58101.0981763151660.0756811881306885
0.59101.1153829253090.075195840332355
0.6101.1328768168860.0771682593871907
0.61101.1512165219330.0815333681861213
0.62101.1710006735170.0885541067437374
0.63101.1928543850980.0984338679691025
0.64101.2174012311340.110847591167308
0.65101.2452157255530.125642505764486
0.66101.2767587030670.142056679982558
0.67101.3123080111050.158900419847135
0.68101.3519051991510.175031527988672
0.69101.3953405641490.189373944205265
0.7101.4421909061710.200887426530054
0.71101.4919079480640.209356806488243
0.72101.5439371132550.214977599215067
0.73101.5978358582070.218669038201694
0.74101.6533655030760.221407928369595
0.75101.7105498752330.224364267462732
0.76101.7697166627640.228589241662531
0.77101.8315451231160.235179108978791
0.78101.8971231906480.245582592485871
0.79101.9679721109210.261528384599436
0.8102.0459546502560.284214716559222
0.81102.132983691390.313657329620961
0.82102.2305183846420.347021999149116
0.83102.3389600069990.379006347351107
0.84102.4571750046050.403174493160631
0.85102.5823952129420.413794197088415
0.86102.7106315329920.407939085085881
0.87102.8375279580370.386433166848161
0.88102.9593870624380.353706026291889
0.89103.0740224130890.316192898836728
0.9103.1811800734790.280444938946834
0.91103.2825007268290.251440223237595
0.92103.3812974445570.231932934248014
0.93103.4826101941210.223283616758699
0.94103.5936790213390.228260718621251
0.95103.7238085466350.24959007309885
0.96103.8810064579940.280396950407979
0.97104.0630034528430.293295301001852
0.98104.2462412072370.246629770587193
0.99104.3872590633080.131564343638699

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.850372232231 & 0.00134521316259048 \tabularnewline
0.02 & 98.8525379141196 & 0.00690460856862597 \tabularnewline
0.03 & 98.8590980330777 & 0.0196583159097673 \tabularnewline
0.04 & 98.873136803809 & 0.0403859963046856 \tabularnewline
0.05 & 98.896933678337 & 0.0660322203740406 \tabularnewline
0.06 & 98.9306994093711 & 0.0902950068043331 \tabularnewline
0.07 & 98.9721549892598 & 0.106879188239974 \tabularnewline
0.08 & 99.0173006959008 & 0.112717136354656 \tabularnewline
0.09 & 99.0618956422811 & 0.10857494284357 \tabularnewline
0.1 & 99.1027960653489 & 0.0983998374448189 \tabularnewline
0.11 & 99.1385807094924 & 0.0868107746980025 \tabularnewline
0.12 & 99.1694205206724 & 0.0776140128244186 \tabularnewline
0.13 & 99.1965120783584 & 0.073060011669898 \tabularnewline
0.14 & 99.2214555664937 & 0.0731057180287785 \tabularnewline
0.15 & 99.2458123419505 & 0.0775404062903478 \tabularnewline
0.16 & 99.2708875892882 & 0.0854204803444458 \tabularnewline
0.17 & 99.2976640116073 & 0.0958053928174562 \tabularnewline
0.18 & 99.3267900204695 & 0.107862498755358 \tabularnewline
0.19 & 99.358566784476 & 0.120428608962128 \tabularnewline
0.2 & 99.3929332369622 & 0.13173653231754 \tabularnewline
0.21 & 99.4294815366009 & 0.140798525178215 \tabularnewline
0.22 & 99.467535681319 & 0.146749772601504 \tabularnewline
0.23 & 99.5063004648177 & 0.149113597215456 \tabularnewline
0.24 & 99.5450545242323 & 0.148792578279436 \tabularnewline
0.25 & 99.583338123696 & 0.147427932851386 \tabularnewline
0.26 & 99.62108424693 & 0.146777434932781 \tabularnewline
0.27 & 99.6586599760961 & 0.148986151578605 \tabularnewline
0.28 & 99.6968141032723 & 0.155624398486692 \tabularnewline
0.29 & 99.7365532099621 & 0.167311858544695 \tabularnewline
0.3 & 99.7789821820141 & 0.18389407039824 \tabularnewline
0.31 & 99.8251438124915 & 0.204737853061612 \tabularnewline
0.32 & 99.8758804913331 & 0.228607224957242 \tabularnewline
0.33 & 99.9317272683695 & 0.253839077130656 \tabularnewline
0.34 & 99.9928369038344 & 0.278879751686401 \tabularnewline
0.35 & 100.058936430584 & 0.301710007831735 \tabularnewline
0.36 & 100.129318729032 & 0.320325242088595 \tabularnewline
0.37 & 100.202876318494 & 0.333055869266729 \tabularnewline
0.38 & 100.278183276457 & 0.338606070178499 \tabularnewline
0.39 & 100.353623489776 & 0.336411743143178 \tabularnewline
0.4 & 100.427551792961 & 0.326738558333969 \tabularnewline
0.41 & 100.498463804157 & 0.310388929164743 \tabularnewline
0.42 & 100.565145101526 & 0.288963341987693 \tabularnewline
0.43 & 100.626773158824 & 0.264882196355122 \tabularnewline
0.44 & 100.682955466843 & 0.239750258820485 \tabularnewline
0.45 & 100.733701362234 & 0.215616780077912 \tabularnewline
0.46 & 100.77933913717 & 0.193604541680427 \tabularnewline
0.47 & 100.820400357648 & 0.174496887720923 \tabularnewline
0.48 & 100.85749774542 & 0.158509557706493 \tabularnewline
0.49 & 100.89122100089 & 0.145045774309247 \tabularnewline
0.5 & 100.922067680989 & 0.133581865197654 \tabularnewline
0.51 & 100.950415968863 & 0.12338225652025 \tabularnewline
0.52 & 100.976535690116 & 0.113854619668087 \tabularnewline
0.53 & 101.000625884732 & 0.104991015503497 \tabularnewline
0.54 & 101.022863431225 & 0.0966939111499771 \tabularnewline
0.55 & 101.043448124155 & 0.0892230536098834 \tabularnewline
0.56 & 101.062634312135 & 0.0829616975951933 \tabularnewline
0.57 & 101.080745745366 & 0.078379330513734 \tabularnewline
0.58 & 101.098176315166 & 0.0756811881306885 \tabularnewline
0.59 & 101.115382925309 & 0.075195840332355 \tabularnewline
0.6 & 101.132876816886 & 0.0771682593871907 \tabularnewline
0.61 & 101.151216521933 & 0.0815333681861213 \tabularnewline
0.62 & 101.171000673517 & 0.0885541067437374 \tabularnewline
0.63 & 101.192854385098 & 0.0984338679691025 \tabularnewline
0.64 & 101.217401231134 & 0.110847591167308 \tabularnewline
0.65 & 101.245215725553 & 0.125642505764486 \tabularnewline
0.66 & 101.276758703067 & 0.142056679982558 \tabularnewline
0.67 & 101.312308011105 & 0.158900419847135 \tabularnewline
0.68 & 101.351905199151 & 0.175031527988672 \tabularnewline
0.69 & 101.395340564149 & 0.189373944205265 \tabularnewline
0.7 & 101.442190906171 & 0.200887426530054 \tabularnewline
0.71 & 101.491907948064 & 0.209356806488243 \tabularnewline
0.72 & 101.543937113255 & 0.214977599215067 \tabularnewline
0.73 & 101.597835858207 & 0.218669038201694 \tabularnewline
0.74 & 101.653365503076 & 0.221407928369595 \tabularnewline
0.75 & 101.710549875233 & 0.224364267462732 \tabularnewline
0.76 & 101.769716662764 & 0.228589241662531 \tabularnewline
0.77 & 101.831545123116 & 0.235179108978791 \tabularnewline
0.78 & 101.897123190648 & 0.245582592485871 \tabularnewline
0.79 & 101.967972110921 & 0.261528384599436 \tabularnewline
0.8 & 102.045954650256 & 0.284214716559222 \tabularnewline
0.81 & 102.13298369139 & 0.313657329620961 \tabularnewline
0.82 & 102.230518384642 & 0.347021999149116 \tabularnewline
0.83 & 102.338960006999 & 0.379006347351107 \tabularnewline
0.84 & 102.457175004605 & 0.403174493160631 \tabularnewline
0.85 & 102.582395212942 & 0.413794197088415 \tabularnewline
0.86 & 102.710631532992 & 0.407939085085881 \tabularnewline
0.87 & 102.837527958037 & 0.386433166848161 \tabularnewline
0.88 & 102.959387062438 & 0.353706026291889 \tabularnewline
0.89 & 103.074022413089 & 0.316192898836728 \tabularnewline
0.9 & 103.181180073479 & 0.280444938946834 \tabularnewline
0.91 & 103.282500726829 & 0.251440223237595 \tabularnewline
0.92 & 103.381297444557 & 0.231932934248014 \tabularnewline
0.93 & 103.482610194121 & 0.223283616758699 \tabularnewline
0.94 & 103.593679021339 & 0.228260718621251 \tabularnewline
0.95 & 103.723808546635 & 0.24959007309885 \tabularnewline
0.96 & 103.881006457994 & 0.280396950407979 \tabularnewline
0.97 & 104.063003452843 & 0.293295301001852 \tabularnewline
0.98 & 104.246241207237 & 0.246629770587193 \tabularnewline
0.99 & 104.387259063308 & 0.131564343638699 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281960&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]98.850372232231[/C][C]0.00134521316259048[/C][/ROW]
[ROW][C]0.02[/C][C]98.8525379141196[/C][C]0.00690460856862597[/C][/ROW]
[ROW][C]0.03[/C][C]98.8590980330777[/C][C]0.0196583159097673[/C][/ROW]
[ROW][C]0.04[/C][C]98.873136803809[/C][C]0.0403859963046856[/C][/ROW]
[ROW][C]0.05[/C][C]98.896933678337[/C][C]0.0660322203740406[/C][/ROW]
[ROW][C]0.06[/C][C]98.9306994093711[/C][C]0.0902950068043331[/C][/ROW]
[ROW][C]0.07[/C][C]98.9721549892598[/C][C]0.106879188239974[/C][/ROW]
[ROW][C]0.08[/C][C]99.0173006959008[/C][C]0.112717136354656[/C][/ROW]
[ROW][C]0.09[/C][C]99.0618956422811[/C][C]0.10857494284357[/C][/ROW]
[ROW][C]0.1[/C][C]99.1027960653489[/C][C]0.0983998374448189[/C][/ROW]
[ROW][C]0.11[/C][C]99.1385807094924[/C][C]0.0868107746980025[/C][/ROW]
[ROW][C]0.12[/C][C]99.1694205206724[/C][C]0.0776140128244186[/C][/ROW]
[ROW][C]0.13[/C][C]99.1965120783584[/C][C]0.073060011669898[/C][/ROW]
[ROW][C]0.14[/C][C]99.2214555664937[/C][C]0.0731057180287785[/C][/ROW]
[ROW][C]0.15[/C][C]99.2458123419505[/C][C]0.0775404062903478[/C][/ROW]
[ROW][C]0.16[/C][C]99.2708875892882[/C][C]0.0854204803444458[/C][/ROW]
[ROW][C]0.17[/C][C]99.2976640116073[/C][C]0.0958053928174562[/C][/ROW]
[ROW][C]0.18[/C][C]99.3267900204695[/C][C]0.107862498755358[/C][/ROW]
[ROW][C]0.19[/C][C]99.358566784476[/C][C]0.120428608962128[/C][/ROW]
[ROW][C]0.2[/C][C]99.3929332369622[/C][C]0.13173653231754[/C][/ROW]
[ROW][C]0.21[/C][C]99.4294815366009[/C][C]0.140798525178215[/C][/ROW]
[ROW][C]0.22[/C][C]99.467535681319[/C][C]0.146749772601504[/C][/ROW]
[ROW][C]0.23[/C][C]99.5063004648177[/C][C]0.149113597215456[/C][/ROW]
[ROW][C]0.24[/C][C]99.5450545242323[/C][C]0.148792578279436[/C][/ROW]
[ROW][C]0.25[/C][C]99.583338123696[/C][C]0.147427932851386[/C][/ROW]
[ROW][C]0.26[/C][C]99.62108424693[/C][C]0.146777434932781[/C][/ROW]
[ROW][C]0.27[/C][C]99.6586599760961[/C][C]0.148986151578605[/C][/ROW]
[ROW][C]0.28[/C][C]99.6968141032723[/C][C]0.155624398486692[/C][/ROW]
[ROW][C]0.29[/C][C]99.7365532099621[/C][C]0.167311858544695[/C][/ROW]
[ROW][C]0.3[/C][C]99.7789821820141[/C][C]0.18389407039824[/C][/ROW]
[ROW][C]0.31[/C][C]99.8251438124915[/C][C]0.204737853061612[/C][/ROW]
[ROW][C]0.32[/C][C]99.8758804913331[/C][C]0.228607224957242[/C][/ROW]
[ROW][C]0.33[/C][C]99.9317272683695[/C][C]0.253839077130656[/C][/ROW]
[ROW][C]0.34[/C][C]99.9928369038344[/C][C]0.278879751686401[/C][/ROW]
[ROW][C]0.35[/C][C]100.058936430584[/C][C]0.301710007831735[/C][/ROW]
[ROW][C]0.36[/C][C]100.129318729032[/C][C]0.320325242088595[/C][/ROW]
[ROW][C]0.37[/C][C]100.202876318494[/C][C]0.333055869266729[/C][/ROW]
[ROW][C]0.38[/C][C]100.278183276457[/C][C]0.338606070178499[/C][/ROW]
[ROW][C]0.39[/C][C]100.353623489776[/C][C]0.336411743143178[/C][/ROW]
[ROW][C]0.4[/C][C]100.427551792961[/C][C]0.326738558333969[/C][/ROW]
[ROW][C]0.41[/C][C]100.498463804157[/C][C]0.310388929164743[/C][/ROW]
[ROW][C]0.42[/C][C]100.565145101526[/C][C]0.288963341987693[/C][/ROW]
[ROW][C]0.43[/C][C]100.626773158824[/C][C]0.264882196355122[/C][/ROW]
[ROW][C]0.44[/C][C]100.682955466843[/C][C]0.239750258820485[/C][/ROW]
[ROW][C]0.45[/C][C]100.733701362234[/C][C]0.215616780077912[/C][/ROW]
[ROW][C]0.46[/C][C]100.77933913717[/C][C]0.193604541680427[/C][/ROW]
[ROW][C]0.47[/C][C]100.820400357648[/C][C]0.174496887720923[/C][/ROW]
[ROW][C]0.48[/C][C]100.85749774542[/C][C]0.158509557706493[/C][/ROW]
[ROW][C]0.49[/C][C]100.89122100089[/C][C]0.145045774309247[/C][/ROW]
[ROW][C]0.5[/C][C]100.922067680989[/C][C]0.133581865197654[/C][/ROW]
[ROW][C]0.51[/C][C]100.950415968863[/C][C]0.12338225652025[/C][/ROW]
[ROW][C]0.52[/C][C]100.976535690116[/C][C]0.113854619668087[/C][/ROW]
[ROW][C]0.53[/C][C]101.000625884732[/C][C]0.104991015503497[/C][/ROW]
[ROW][C]0.54[/C][C]101.022863431225[/C][C]0.0966939111499771[/C][/ROW]
[ROW][C]0.55[/C][C]101.043448124155[/C][C]0.0892230536098834[/C][/ROW]
[ROW][C]0.56[/C][C]101.062634312135[/C][C]0.0829616975951933[/C][/ROW]
[ROW][C]0.57[/C][C]101.080745745366[/C][C]0.078379330513734[/C][/ROW]
[ROW][C]0.58[/C][C]101.098176315166[/C][C]0.0756811881306885[/C][/ROW]
[ROW][C]0.59[/C][C]101.115382925309[/C][C]0.075195840332355[/C][/ROW]
[ROW][C]0.6[/C][C]101.132876816886[/C][C]0.0771682593871907[/C][/ROW]
[ROW][C]0.61[/C][C]101.151216521933[/C][C]0.0815333681861213[/C][/ROW]
[ROW][C]0.62[/C][C]101.171000673517[/C][C]0.0885541067437374[/C][/ROW]
[ROW][C]0.63[/C][C]101.192854385098[/C][C]0.0984338679691025[/C][/ROW]
[ROW][C]0.64[/C][C]101.217401231134[/C][C]0.110847591167308[/C][/ROW]
[ROW][C]0.65[/C][C]101.245215725553[/C][C]0.125642505764486[/C][/ROW]
[ROW][C]0.66[/C][C]101.276758703067[/C][C]0.142056679982558[/C][/ROW]
[ROW][C]0.67[/C][C]101.312308011105[/C][C]0.158900419847135[/C][/ROW]
[ROW][C]0.68[/C][C]101.351905199151[/C][C]0.175031527988672[/C][/ROW]
[ROW][C]0.69[/C][C]101.395340564149[/C][C]0.189373944205265[/C][/ROW]
[ROW][C]0.7[/C][C]101.442190906171[/C][C]0.200887426530054[/C][/ROW]
[ROW][C]0.71[/C][C]101.491907948064[/C][C]0.209356806488243[/C][/ROW]
[ROW][C]0.72[/C][C]101.543937113255[/C][C]0.214977599215067[/C][/ROW]
[ROW][C]0.73[/C][C]101.597835858207[/C][C]0.218669038201694[/C][/ROW]
[ROW][C]0.74[/C][C]101.653365503076[/C][C]0.221407928369595[/C][/ROW]
[ROW][C]0.75[/C][C]101.710549875233[/C][C]0.224364267462732[/C][/ROW]
[ROW][C]0.76[/C][C]101.769716662764[/C][C]0.228589241662531[/C][/ROW]
[ROW][C]0.77[/C][C]101.831545123116[/C][C]0.235179108978791[/C][/ROW]
[ROW][C]0.78[/C][C]101.897123190648[/C][C]0.245582592485871[/C][/ROW]
[ROW][C]0.79[/C][C]101.967972110921[/C][C]0.261528384599436[/C][/ROW]
[ROW][C]0.8[/C][C]102.045954650256[/C][C]0.284214716559222[/C][/ROW]
[ROW][C]0.81[/C][C]102.13298369139[/C][C]0.313657329620961[/C][/ROW]
[ROW][C]0.82[/C][C]102.230518384642[/C][C]0.347021999149116[/C][/ROW]
[ROW][C]0.83[/C][C]102.338960006999[/C][C]0.379006347351107[/C][/ROW]
[ROW][C]0.84[/C][C]102.457175004605[/C][C]0.403174493160631[/C][/ROW]
[ROW][C]0.85[/C][C]102.582395212942[/C][C]0.413794197088415[/C][/ROW]
[ROW][C]0.86[/C][C]102.710631532992[/C][C]0.407939085085881[/C][/ROW]
[ROW][C]0.87[/C][C]102.837527958037[/C][C]0.386433166848161[/C][/ROW]
[ROW][C]0.88[/C][C]102.959387062438[/C][C]0.353706026291889[/C][/ROW]
[ROW][C]0.89[/C][C]103.074022413089[/C][C]0.316192898836728[/C][/ROW]
[ROW][C]0.9[/C][C]103.181180073479[/C][C]0.280444938946834[/C][/ROW]
[ROW][C]0.91[/C][C]103.282500726829[/C][C]0.251440223237595[/C][/ROW]
[ROW][C]0.92[/C][C]103.381297444557[/C][C]0.231932934248014[/C][/ROW]
[ROW][C]0.93[/C][C]103.482610194121[/C][C]0.223283616758699[/C][/ROW]
[ROW][C]0.94[/C][C]103.593679021339[/C][C]0.228260718621251[/C][/ROW]
[ROW][C]0.95[/C][C]103.723808546635[/C][C]0.24959007309885[/C][/ROW]
[ROW][C]0.96[/C][C]103.881006457994[/C][C]0.280396950407979[/C][/ROW]
[ROW][C]0.97[/C][C]104.063003452843[/C][C]0.293295301001852[/C][/ROW]
[ROW][C]0.98[/C][C]104.246241207237[/C][C]0.246629770587193[/C][/ROW]
[ROW][C]0.99[/C][C]104.387259063308[/C][C]0.131564343638699[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281960&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281960&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
0.0198.8503722322310.00134521316259048
0.0298.85253791411960.00690460856862597
0.0398.85909803307770.0196583159097673
0.0498.8731368038090.0403859963046856
0.0598.8969336783370.0660322203740406
0.0698.93069940937110.0902950068043331
0.0798.97215498925980.106879188239974
0.0899.01730069590080.112717136354656
0.0999.06189564228110.10857494284357
0.199.10279606534890.0983998374448189
0.1199.13858070949240.0868107746980025
0.1299.16942052067240.0776140128244186
0.1399.19651207835840.073060011669898
0.1499.22145556649370.0731057180287785
0.1599.24581234195050.0775404062903478
0.1699.27088758928820.0854204803444458
0.1799.29766401160730.0958053928174562
0.1899.32679002046950.107862498755358
0.1999.3585667844760.120428608962128
0.299.39293323696220.13173653231754
0.2199.42948153660090.140798525178215
0.2299.4675356813190.146749772601504
0.2399.50630046481770.149113597215456
0.2499.54505452423230.148792578279436
0.2599.5833381236960.147427932851386
0.2699.621084246930.146777434932781
0.2799.65865997609610.148986151578605
0.2899.69681410327230.155624398486692
0.2999.73655320996210.167311858544695
0.399.77898218201410.18389407039824
0.3199.82514381249150.204737853061612
0.3299.87588049133310.228607224957242
0.3399.93172726836950.253839077130656
0.3499.99283690383440.278879751686401
0.35100.0589364305840.301710007831735
0.36100.1293187290320.320325242088595
0.37100.2028763184940.333055869266729
0.38100.2781832764570.338606070178499
0.39100.3536234897760.336411743143178
0.4100.4275517929610.326738558333969
0.41100.4984638041570.310388929164743
0.42100.5651451015260.288963341987693
0.43100.6267731588240.264882196355122
0.44100.6829554668430.239750258820485
0.45100.7337013622340.215616780077912
0.46100.779339137170.193604541680427
0.47100.8204003576480.174496887720923
0.48100.857497745420.158509557706493
0.49100.891221000890.145045774309247
0.5100.9220676809890.133581865197654
0.51100.9504159688630.12338225652025
0.52100.9765356901160.113854619668087
0.53101.0006258847320.104991015503497
0.54101.0228634312250.0966939111499771
0.55101.0434481241550.0892230536098834
0.56101.0626343121350.0829616975951933
0.57101.0807457453660.078379330513734
0.58101.0981763151660.0756811881306885
0.59101.1153829253090.075195840332355
0.6101.1328768168860.0771682593871907
0.61101.1512165219330.0815333681861213
0.62101.1710006735170.0885541067437374
0.63101.1928543850980.0984338679691025
0.64101.2174012311340.110847591167308
0.65101.2452157255530.125642505764486
0.66101.2767587030670.142056679982558
0.67101.3123080111050.158900419847135
0.68101.3519051991510.175031527988672
0.69101.3953405641490.189373944205265
0.7101.4421909061710.200887426530054
0.71101.4919079480640.209356806488243
0.72101.5439371132550.214977599215067
0.73101.5978358582070.218669038201694
0.74101.6533655030760.221407928369595
0.75101.7105498752330.224364267462732
0.76101.7697166627640.228589241662531
0.77101.8315451231160.235179108978791
0.78101.8971231906480.245582592485871
0.79101.9679721109210.261528384599436
0.8102.0459546502560.284214716559222
0.81102.132983691390.313657329620961
0.82102.2305183846420.347021999149116
0.83102.3389600069990.379006347351107
0.84102.4571750046050.403174493160631
0.85102.5823952129420.413794197088415
0.86102.7106315329920.407939085085881
0.87102.8375279580370.386433166848161
0.88102.9593870624380.353706026291889
0.89103.0740224130890.316192898836728
0.9103.1811800734790.280444938946834
0.91103.2825007268290.251440223237595
0.92103.3812974445570.231932934248014
0.93103.4826101941210.223283616758699
0.94103.5936790213390.228260718621251
0.95103.7238085466350.24959007309885
0.96103.8810064579940.280396950407979
0.97104.0630034528430.293295301001852
0.98104.2462412072370.246629770587193
0.99104.3872590633080.131564343638699


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')