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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 computationWed, 07 Oct 2015 14:18:31 +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/07/t1444223937q72s0zs5lcle2ly.htm/, Retrieved Sat, 18 May 2024 06:29:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281398, Retrieved Sat, 18 May 2024 06:29:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125

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] [] [2015-10-07 13:18:31] [bdd544630eb102d4e9b9d691f462dd0a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
86,48
86,48
86,7
87,86
88,24
88,23
88,73
88,82
87,16
86,29
86,37
86,59
85,46
85,85
86,93
87,66
87,84
88,09
88,58
88,06
88,26
89
90,78
90
89,84
89,82
91,12
91,5
93,03
94,23
94,76
92,83
92,49
90,85
88,19
86,31
85,74
86,62
86,66
87,39
87,59
88,8
88,64
89,55
89,04
88,49
89,5
89,46
90,33
90,27
91,5
92,53
93,14
93,01
92,84
92,88
93,05
93,17
93,67
94,9
95,72
96,08
97,52
98,26
98,48
98,09
98,03
98,14
98,71
98,69
98,72
98,47
99,49
99,84
100,9
101,31
100,09
99,28
99,57
101,04
101,87
101,39
100,3
99,95
99,87
100,51
100,27
100,04
99,23
99,32
99,95
100,23
101,02
99,83
99,61
100,12
99,83
100,03
100,07
100,46
100,43
100,68
101,8
101,21
100,63
100,55
99,76
98,8

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281398&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281398&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281398&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0185.616301222140.250068507717375
0.0285.83891659920680.269061286561963
0.0386.04415658105190.266090007404018
0.0486.20956041103110.222124194270792
0.0586.33511085664480.181222525154654
0.0686.43290758937880.16945047297371
0.0786.5189383362310.18700031895793
0.0886.60659238519610.22750589795011
0.0986.70492819482170.284351974500741
0.186.81881158667330.347676618385335
0.1186.94902917944360.406010597282804
0.1287.09262388613440.44886675464353
0.1387.24397061012620.470408448311321
0.1487.39644783716490.470646126118895
0.1587.54410780047390.454357625290853
0.1687.68280506047510.427999333439893
0.1787.81058989280190.398846542873938
0.1887.92749957717830.372528454115366
0.1988.03502550521960.352758664922864
0.288.13550954531410.342008773166297
0.2188.23162436738520.340533532384956
0.2288.32600019214870.347609579477336
0.2388.42100355415080.362774490182737
0.2488.51864472861330.384101900485151
0.2588.6205758354330.410877422861276
0.2688.72813692682730.44220160218119
0.2788.84241437078650.477703576457498
0.2888.96429301186490.516607770440724
0.2989.09450231303070.558167759301834
0.389.23366608043950.60213825113016
0.3189.38236013215550.64882522879502
0.3289.54116654244310.698204798776984
0.3389.71069778580970.751036961006779
0.3489.89156014168080.806818785200008
0.3590.08423804376390.865259130866467
0.3690.28890668586710.924148578255853
0.3790.50521040289410.980578724513886
0.3890.73206873657691.03047677972958
0.3990.96758214985071.06965117773883
0.491.20910036519511.09429192922445
0.4191.453488032261.10284999760116
0.4291.69757920459541.09602138555161
0.4391.93876253202411.0771605409849
0.4492.17559489079581.05326414189755
0.4592.40831473640791.0334388991622
0.4692.6391271923421.02863652025493
0.4792.87216389237811.04886545897095
0.4893.11307706491411.10056740599184
0.4993.36829760639381.18550304004293
0.593.64405574310071.29938848290053
0.5193.94531581431151.43257231498274
0.5294.27480323495941.57152919387961
0.5394.63229682812381.70090913306877
0.5495.0143237791811.80509899192525
0.5595.41433222241961.87086331255576
0.5695.82333660817731.88931409821493
0.5796.23094602972141.85658475350017
0.5896.62661143315591.77487214718452
0.5997.00088098619471.65199657045398
0.697.34644747729411.50060150998605
0.6197.65881257260881.33435237430972
0.6297.93647299825981.16778303877927
0.6398.18063430847141.01268162952688
0.6498.39455316852820.877818484280363
0.6598.58267481032340.766690776966355
0.6698.74975369145580.679141585603953
0.6798.9001213296980.611501267801331
0.6899.03720762310360.557931562826152
0.6999.16335022387710.512872941450286
0.799.27986083504010.471566018435423
0.7199.38727227188510.431166206535192
0.7299.48567179921620.390260999153357
0.7399.57503240873280.349203374000676
0.7499.65547679334650.309249862558635
0.7599.72743957481490.271699662429781
0.7699.79172362247410.238435945963395
0.7799.84946988474260.210598364171833
0.7899.90207291947580.188906727329202
0.7999.95107446640160.173643968443731
0.899.99805665994570.164497573460492
0.81100.0445410875030.160984264303104
0.82100.0918895950590.162177917386029
0.83100.1412064326550.166495837350944
0.84100.1932608590030.172494490107689
0.85100.2484747848930.178526648654071
0.86100.3070301213980.183585833389768
0.87100.3691200240510.187526354532956
0.88100.4352842763950.191825411900394
0.89100.506655300770.198612782122564
0.9100.5848782570320.209351407553379
0.91100.6715733914240.223131511020446
0.92100.767533273780.235470977792866
0.93100.8722484546040.241085395756212
0.94100.9845455119170.237558993741381
0.95101.1049352240430.228547179103619
0.96101.2392600249240.22563672333555
0.97101.3992220510310.244023535314555
0.98101.5883703623740.262811953034962
0.99101.7707986241560.19443333660521

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 85.61630122214 & 0.250068507717375 \tabularnewline
0.02 & 85.8389165992068 & 0.269061286561963 \tabularnewline
0.03 & 86.0441565810519 & 0.266090007404018 \tabularnewline
0.04 & 86.2095604110311 & 0.222124194270792 \tabularnewline
0.05 & 86.3351108566448 & 0.181222525154654 \tabularnewline
0.06 & 86.4329075893788 & 0.16945047297371 \tabularnewline
0.07 & 86.518938336231 & 0.18700031895793 \tabularnewline
0.08 & 86.6065923851961 & 0.22750589795011 \tabularnewline
0.09 & 86.7049281948217 & 0.284351974500741 \tabularnewline
0.1 & 86.8188115866733 & 0.347676618385335 \tabularnewline
0.11 & 86.9490291794436 & 0.406010597282804 \tabularnewline
0.12 & 87.0926238861344 & 0.44886675464353 \tabularnewline
0.13 & 87.2439706101262 & 0.470408448311321 \tabularnewline
0.14 & 87.3964478371649 & 0.470646126118895 \tabularnewline
0.15 & 87.5441078004739 & 0.454357625290853 \tabularnewline
0.16 & 87.6828050604751 & 0.427999333439893 \tabularnewline
0.17 & 87.8105898928019 & 0.398846542873938 \tabularnewline
0.18 & 87.9274995771783 & 0.372528454115366 \tabularnewline
0.19 & 88.0350255052196 & 0.352758664922864 \tabularnewline
0.2 & 88.1355095453141 & 0.342008773166297 \tabularnewline
0.21 & 88.2316243673852 & 0.340533532384956 \tabularnewline
0.22 & 88.3260001921487 & 0.347609579477336 \tabularnewline
0.23 & 88.4210035541508 & 0.362774490182737 \tabularnewline
0.24 & 88.5186447286133 & 0.384101900485151 \tabularnewline
0.25 & 88.620575835433 & 0.410877422861276 \tabularnewline
0.26 & 88.7281369268273 & 0.44220160218119 \tabularnewline
0.27 & 88.8424143707865 & 0.477703576457498 \tabularnewline
0.28 & 88.9642930118649 & 0.516607770440724 \tabularnewline
0.29 & 89.0945023130307 & 0.558167759301834 \tabularnewline
0.3 & 89.2336660804395 & 0.60213825113016 \tabularnewline
0.31 & 89.3823601321555 & 0.64882522879502 \tabularnewline
0.32 & 89.5411665424431 & 0.698204798776984 \tabularnewline
0.33 & 89.7106977858097 & 0.751036961006779 \tabularnewline
0.34 & 89.8915601416808 & 0.806818785200008 \tabularnewline
0.35 & 90.0842380437639 & 0.865259130866467 \tabularnewline
0.36 & 90.2889066858671 & 0.924148578255853 \tabularnewline
0.37 & 90.5052104028941 & 0.980578724513886 \tabularnewline
0.38 & 90.7320687365769 & 1.03047677972958 \tabularnewline
0.39 & 90.9675821498507 & 1.06965117773883 \tabularnewline
0.4 & 91.2091003651951 & 1.09429192922445 \tabularnewline
0.41 & 91.45348803226 & 1.10284999760116 \tabularnewline
0.42 & 91.6975792045954 & 1.09602138555161 \tabularnewline
0.43 & 91.9387625320241 & 1.0771605409849 \tabularnewline
0.44 & 92.1755948907958 & 1.05326414189755 \tabularnewline
0.45 & 92.4083147364079 & 1.0334388991622 \tabularnewline
0.46 & 92.639127192342 & 1.02863652025493 \tabularnewline
0.47 & 92.8721638923781 & 1.04886545897095 \tabularnewline
0.48 & 93.1130770649141 & 1.10056740599184 \tabularnewline
0.49 & 93.3682976063938 & 1.18550304004293 \tabularnewline
0.5 & 93.6440557431007 & 1.29938848290053 \tabularnewline
0.51 & 93.9453158143115 & 1.43257231498274 \tabularnewline
0.52 & 94.2748032349594 & 1.57152919387961 \tabularnewline
0.53 & 94.6322968281238 & 1.70090913306877 \tabularnewline
0.54 & 95.014323779181 & 1.80509899192525 \tabularnewline
0.55 & 95.4143322224196 & 1.87086331255576 \tabularnewline
0.56 & 95.8233366081773 & 1.88931409821493 \tabularnewline
0.57 & 96.2309460297214 & 1.85658475350017 \tabularnewline
0.58 & 96.6266114331559 & 1.77487214718452 \tabularnewline
0.59 & 97.0008809861947 & 1.65199657045398 \tabularnewline
0.6 & 97.3464474772941 & 1.50060150998605 \tabularnewline
0.61 & 97.6588125726088 & 1.33435237430972 \tabularnewline
0.62 & 97.9364729982598 & 1.16778303877927 \tabularnewline
0.63 & 98.1806343084714 & 1.01268162952688 \tabularnewline
0.64 & 98.3945531685282 & 0.877818484280363 \tabularnewline
0.65 & 98.5826748103234 & 0.766690776966355 \tabularnewline
0.66 & 98.7497536914558 & 0.679141585603953 \tabularnewline
0.67 & 98.900121329698 & 0.611501267801331 \tabularnewline
0.68 & 99.0372076231036 & 0.557931562826152 \tabularnewline
0.69 & 99.1633502238771 & 0.512872941450286 \tabularnewline
0.7 & 99.2798608350401 & 0.471566018435423 \tabularnewline
0.71 & 99.3872722718851 & 0.431166206535192 \tabularnewline
0.72 & 99.4856717992162 & 0.390260999153357 \tabularnewline
0.73 & 99.5750324087328 & 0.349203374000676 \tabularnewline
0.74 & 99.6554767933465 & 0.309249862558635 \tabularnewline
0.75 & 99.7274395748149 & 0.271699662429781 \tabularnewline
0.76 & 99.7917236224741 & 0.238435945963395 \tabularnewline
0.77 & 99.8494698847426 & 0.210598364171833 \tabularnewline
0.78 & 99.9020729194758 & 0.188906727329202 \tabularnewline
0.79 & 99.9510744664016 & 0.173643968443731 \tabularnewline
0.8 & 99.9980566599457 & 0.164497573460492 \tabularnewline
0.81 & 100.044541087503 & 0.160984264303104 \tabularnewline
0.82 & 100.091889595059 & 0.162177917386029 \tabularnewline
0.83 & 100.141206432655 & 0.166495837350944 \tabularnewline
0.84 & 100.193260859003 & 0.172494490107689 \tabularnewline
0.85 & 100.248474784893 & 0.178526648654071 \tabularnewline
0.86 & 100.307030121398 & 0.183585833389768 \tabularnewline
0.87 & 100.369120024051 & 0.187526354532956 \tabularnewline
0.88 & 100.435284276395 & 0.191825411900394 \tabularnewline
0.89 & 100.50665530077 & 0.198612782122564 \tabularnewline
0.9 & 100.584878257032 & 0.209351407553379 \tabularnewline
0.91 & 100.671573391424 & 0.223131511020446 \tabularnewline
0.92 & 100.76753327378 & 0.235470977792866 \tabularnewline
0.93 & 100.872248454604 & 0.241085395756212 \tabularnewline
0.94 & 100.984545511917 & 0.237558993741381 \tabularnewline
0.95 & 101.104935224043 & 0.228547179103619 \tabularnewline
0.96 & 101.239260024924 & 0.22563672333555 \tabularnewline
0.97 & 101.399222051031 & 0.244023535314555 \tabularnewline
0.98 & 101.588370362374 & 0.262811953034962 \tabularnewline
0.99 & 101.770798624156 & 0.19443333660521 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281398&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]85.61630122214[/C][C]0.250068507717375[/C][/ROW]
[ROW][C]0.02[/C][C]85.8389165992068[/C][C]0.269061286561963[/C][/ROW]
[ROW][C]0.03[/C][C]86.0441565810519[/C][C]0.266090007404018[/C][/ROW]
[ROW][C]0.04[/C][C]86.2095604110311[/C][C]0.222124194270792[/C][/ROW]
[ROW][C]0.05[/C][C]86.3351108566448[/C][C]0.181222525154654[/C][/ROW]
[ROW][C]0.06[/C][C]86.4329075893788[/C][C]0.16945047297371[/C][/ROW]
[ROW][C]0.07[/C][C]86.518938336231[/C][C]0.18700031895793[/C][/ROW]
[ROW][C]0.08[/C][C]86.6065923851961[/C][C]0.22750589795011[/C][/ROW]
[ROW][C]0.09[/C][C]86.7049281948217[/C][C]0.284351974500741[/C][/ROW]
[ROW][C]0.1[/C][C]86.8188115866733[/C][C]0.347676618385335[/C][/ROW]
[ROW][C]0.11[/C][C]86.9490291794436[/C][C]0.406010597282804[/C][/ROW]
[ROW][C]0.12[/C][C]87.0926238861344[/C][C]0.44886675464353[/C][/ROW]
[ROW][C]0.13[/C][C]87.2439706101262[/C][C]0.470408448311321[/C][/ROW]
[ROW][C]0.14[/C][C]87.3964478371649[/C][C]0.470646126118895[/C][/ROW]
[ROW][C]0.15[/C][C]87.5441078004739[/C][C]0.454357625290853[/C][/ROW]
[ROW][C]0.16[/C][C]87.6828050604751[/C][C]0.427999333439893[/C][/ROW]
[ROW][C]0.17[/C][C]87.8105898928019[/C][C]0.398846542873938[/C][/ROW]
[ROW][C]0.18[/C][C]87.9274995771783[/C][C]0.372528454115366[/C][/ROW]
[ROW][C]0.19[/C][C]88.0350255052196[/C][C]0.352758664922864[/C][/ROW]
[ROW][C]0.2[/C][C]88.1355095453141[/C][C]0.342008773166297[/C][/ROW]
[ROW][C]0.21[/C][C]88.2316243673852[/C][C]0.340533532384956[/C][/ROW]
[ROW][C]0.22[/C][C]88.3260001921487[/C][C]0.347609579477336[/C][/ROW]
[ROW][C]0.23[/C][C]88.4210035541508[/C][C]0.362774490182737[/C][/ROW]
[ROW][C]0.24[/C][C]88.5186447286133[/C][C]0.384101900485151[/C][/ROW]
[ROW][C]0.25[/C][C]88.620575835433[/C][C]0.410877422861276[/C][/ROW]
[ROW][C]0.26[/C][C]88.7281369268273[/C][C]0.44220160218119[/C][/ROW]
[ROW][C]0.27[/C][C]88.8424143707865[/C][C]0.477703576457498[/C][/ROW]
[ROW][C]0.28[/C][C]88.9642930118649[/C][C]0.516607770440724[/C][/ROW]
[ROW][C]0.29[/C][C]89.0945023130307[/C][C]0.558167759301834[/C][/ROW]
[ROW][C]0.3[/C][C]89.2336660804395[/C][C]0.60213825113016[/C][/ROW]
[ROW][C]0.31[/C][C]89.3823601321555[/C][C]0.64882522879502[/C][/ROW]
[ROW][C]0.32[/C][C]89.5411665424431[/C][C]0.698204798776984[/C][/ROW]
[ROW][C]0.33[/C][C]89.7106977858097[/C][C]0.751036961006779[/C][/ROW]
[ROW][C]0.34[/C][C]89.8915601416808[/C][C]0.806818785200008[/C][/ROW]
[ROW][C]0.35[/C][C]90.0842380437639[/C][C]0.865259130866467[/C][/ROW]
[ROW][C]0.36[/C][C]90.2889066858671[/C][C]0.924148578255853[/C][/ROW]
[ROW][C]0.37[/C][C]90.5052104028941[/C][C]0.980578724513886[/C][/ROW]
[ROW][C]0.38[/C][C]90.7320687365769[/C][C]1.03047677972958[/C][/ROW]
[ROW][C]0.39[/C][C]90.9675821498507[/C][C]1.06965117773883[/C][/ROW]
[ROW][C]0.4[/C][C]91.2091003651951[/C][C]1.09429192922445[/C][/ROW]
[ROW][C]0.41[/C][C]91.45348803226[/C][C]1.10284999760116[/C][/ROW]
[ROW][C]0.42[/C][C]91.6975792045954[/C][C]1.09602138555161[/C][/ROW]
[ROW][C]0.43[/C][C]91.9387625320241[/C][C]1.0771605409849[/C][/ROW]
[ROW][C]0.44[/C][C]92.1755948907958[/C][C]1.05326414189755[/C][/ROW]
[ROW][C]0.45[/C][C]92.4083147364079[/C][C]1.0334388991622[/C][/ROW]
[ROW][C]0.46[/C][C]92.639127192342[/C][C]1.02863652025493[/C][/ROW]
[ROW][C]0.47[/C][C]92.8721638923781[/C][C]1.04886545897095[/C][/ROW]
[ROW][C]0.48[/C][C]93.1130770649141[/C][C]1.10056740599184[/C][/ROW]
[ROW][C]0.49[/C][C]93.3682976063938[/C][C]1.18550304004293[/C][/ROW]
[ROW][C]0.5[/C][C]93.6440557431007[/C][C]1.29938848290053[/C][/ROW]
[ROW][C]0.51[/C][C]93.9453158143115[/C][C]1.43257231498274[/C][/ROW]
[ROW][C]0.52[/C][C]94.2748032349594[/C][C]1.57152919387961[/C][/ROW]
[ROW][C]0.53[/C][C]94.6322968281238[/C][C]1.70090913306877[/C][/ROW]
[ROW][C]0.54[/C][C]95.014323779181[/C][C]1.80509899192525[/C][/ROW]
[ROW][C]0.55[/C][C]95.4143322224196[/C][C]1.87086331255576[/C][/ROW]
[ROW][C]0.56[/C][C]95.8233366081773[/C][C]1.88931409821493[/C][/ROW]
[ROW][C]0.57[/C][C]96.2309460297214[/C][C]1.85658475350017[/C][/ROW]
[ROW][C]0.58[/C][C]96.6266114331559[/C][C]1.77487214718452[/C][/ROW]
[ROW][C]0.59[/C][C]97.0008809861947[/C][C]1.65199657045398[/C][/ROW]
[ROW][C]0.6[/C][C]97.3464474772941[/C][C]1.50060150998605[/C][/ROW]
[ROW][C]0.61[/C][C]97.6588125726088[/C][C]1.33435237430972[/C][/ROW]
[ROW][C]0.62[/C][C]97.9364729982598[/C][C]1.16778303877927[/C][/ROW]
[ROW][C]0.63[/C][C]98.1806343084714[/C][C]1.01268162952688[/C][/ROW]
[ROW][C]0.64[/C][C]98.3945531685282[/C][C]0.877818484280363[/C][/ROW]
[ROW][C]0.65[/C][C]98.5826748103234[/C][C]0.766690776966355[/C][/ROW]
[ROW][C]0.66[/C][C]98.7497536914558[/C][C]0.679141585603953[/C][/ROW]
[ROW][C]0.67[/C][C]98.900121329698[/C][C]0.611501267801331[/C][/ROW]
[ROW][C]0.68[/C][C]99.0372076231036[/C][C]0.557931562826152[/C][/ROW]
[ROW][C]0.69[/C][C]99.1633502238771[/C][C]0.512872941450286[/C][/ROW]
[ROW][C]0.7[/C][C]99.2798608350401[/C][C]0.471566018435423[/C][/ROW]
[ROW][C]0.71[/C][C]99.3872722718851[/C][C]0.431166206535192[/C][/ROW]
[ROW][C]0.72[/C][C]99.4856717992162[/C][C]0.390260999153357[/C][/ROW]
[ROW][C]0.73[/C][C]99.5750324087328[/C][C]0.349203374000676[/C][/ROW]
[ROW][C]0.74[/C][C]99.6554767933465[/C][C]0.309249862558635[/C][/ROW]
[ROW][C]0.75[/C][C]99.7274395748149[/C][C]0.271699662429781[/C][/ROW]
[ROW][C]0.76[/C][C]99.7917236224741[/C][C]0.238435945963395[/C][/ROW]
[ROW][C]0.77[/C][C]99.8494698847426[/C][C]0.210598364171833[/C][/ROW]
[ROW][C]0.78[/C][C]99.9020729194758[/C][C]0.188906727329202[/C][/ROW]
[ROW][C]0.79[/C][C]99.9510744664016[/C][C]0.173643968443731[/C][/ROW]
[ROW][C]0.8[/C][C]99.9980566599457[/C][C]0.164497573460492[/C][/ROW]
[ROW][C]0.81[/C][C]100.044541087503[/C][C]0.160984264303104[/C][/ROW]
[ROW][C]0.82[/C][C]100.091889595059[/C][C]0.162177917386029[/C][/ROW]
[ROW][C]0.83[/C][C]100.141206432655[/C][C]0.166495837350944[/C][/ROW]
[ROW][C]0.84[/C][C]100.193260859003[/C][C]0.172494490107689[/C][/ROW]
[ROW][C]0.85[/C][C]100.248474784893[/C][C]0.178526648654071[/C][/ROW]
[ROW][C]0.86[/C][C]100.307030121398[/C][C]0.183585833389768[/C][/ROW]
[ROW][C]0.87[/C][C]100.369120024051[/C][C]0.187526354532956[/C][/ROW]
[ROW][C]0.88[/C][C]100.435284276395[/C][C]0.191825411900394[/C][/ROW]
[ROW][C]0.89[/C][C]100.50665530077[/C][C]0.198612782122564[/C][/ROW]
[ROW][C]0.9[/C][C]100.584878257032[/C][C]0.209351407553379[/C][/ROW]
[ROW][C]0.91[/C][C]100.671573391424[/C][C]0.223131511020446[/C][/ROW]
[ROW][C]0.92[/C][C]100.76753327378[/C][C]0.235470977792866[/C][/ROW]
[ROW][C]0.93[/C][C]100.872248454604[/C][C]0.241085395756212[/C][/ROW]
[ROW][C]0.94[/C][C]100.984545511917[/C][C]0.237558993741381[/C][/ROW]
[ROW][C]0.95[/C][C]101.104935224043[/C][C]0.228547179103619[/C][/ROW]
[ROW][C]0.96[/C][C]101.239260024924[/C][C]0.22563672333555[/C][/ROW]
[ROW][C]0.97[/C][C]101.399222051031[/C][C]0.244023535314555[/C][/ROW]
[ROW][C]0.98[/C][C]101.588370362374[/C][C]0.262811953034962[/C][/ROW]
[ROW][C]0.99[/C][C]101.770798624156[/C][C]0.19443333660521[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281398&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281398&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
0.0185.616301222140.250068507717375
0.0285.83891659920680.269061286561963
0.0386.04415658105190.266090007404018
0.0486.20956041103110.222124194270792
0.0586.33511085664480.181222525154654
0.0686.43290758937880.16945047297371
0.0786.5189383362310.18700031895793
0.0886.60659238519610.22750589795011
0.0986.70492819482170.284351974500741
0.186.81881158667330.347676618385335
0.1186.94902917944360.406010597282804
0.1287.09262388613440.44886675464353
0.1387.24397061012620.470408448311321
0.1487.39644783716490.470646126118895
0.1587.54410780047390.454357625290853
0.1687.68280506047510.427999333439893
0.1787.81058989280190.398846542873938
0.1887.92749957717830.372528454115366
0.1988.03502550521960.352758664922864
0.288.13550954531410.342008773166297
0.2188.23162436738520.340533532384956
0.2288.32600019214870.347609579477336
0.2388.42100355415080.362774490182737
0.2488.51864472861330.384101900485151
0.2588.6205758354330.410877422861276
0.2688.72813692682730.44220160218119
0.2788.84241437078650.477703576457498
0.2888.96429301186490.516607770440724
0.2989.09450231303070.558167759301834
0.389.23366608043950.60213825113016
0.3189.38236013215550.64882522879502
0.3289.54116654244310.698204798776984
0.3389.71069778580970.751036961006779
0.3489.89156014168080.806818785200008
0.3590.08423804376390.865259130866467
0.3690.28890668586710.924148578255853
0.3790.50521040289410.980578724513886
0.3890.73206873657691.03047677972958
0.3990.96758214985071.06965117773883
0.491.20910036519511.09429192922445
0.4191.453488032261.10284999760116
0.4291.69757920459541.09602138555161
0.4391.93876253202411.0771605409849
0.4492.17559489079581.05326414189755
0.4592.40831473640791.0334388991622
0.4692.6391271923421.02863652025493
0.4792.87216389237811.04886545897095
0.4893.11307706491411.10056740599184
0.4993.36829760639381.18550304004293
0.593.64405574310071.29938848290053
0.5193.94531581431151.43257231498274
0.5294.27480323495941.57152919387961
0.5394.63229682812381.70090913306877
0.5495.0143237791811.80509899192525
0.5595.41433222241961.87086331255576
0.5695.82333660817731.88931409821493
0.5796.23094602972141.85658475350017
0.5896.62661143315591.77487214718452
0.5997.00088098619471.65199657045398
0.697.34644747729411.50060150998605
0.6197.65881257260881.33435237430972
0.6297.93647299825981.16778303877927
0.6398.18063430847141.01268162952688
0.6498.39455316852820.877818484280363
0.6598.58267481032340.766690776966355
0.6698.74975369145580.679141585603953
0.6798.9001213296980.611501267801331
0.6899.03720762310360.557931562826152
0.6999.16335022387710.512872941450286
0.799.27986083504010.471566018435423
0.7199.38727227188510.431166206535192
0.7299.48567179921620.390260999153357
0.7399.57503240873280.349203374000676
0.7499.65547679334650.309249862558635
0.7599.72743957481490.271699662429781
0.7699.79172362247410.238435945963395
0.7799.84946988474260.210598364171833
0.7899.90207291947580.188906727329202
0.7999.95107446640160.173643968443731
0.899.99805665994570.164497573460492
0.81100.0445410875030.160984264303104
0.82100.0918895950590.162177917386029
0.83100.1412064326550.166495837350944
0.84100.1932608590030.172494490107689
0.85100.2484747848930.178526648654071
0.86100.3070301213980.183585833389768
0.87100.3691200240510.187526354532956
0.88100.4352842763950.191825411900394
0.89100.506655300770.198612782122564
0.9100.5848782570320.209351407553379
0.91100.6715733914240.223131511020446
0.92100.767533273780.235470977792866
0.93100.8722484546040.241085395756212
0.94100.9845455119170.237558993741381
0.95101.1049352240430.228547179103619
0.96101.2392600249240.22563672333555
0.97101.3992220510310.244023535314555
0.98101.5883703623740.262811953034962
0.99101.7707986241560.19443333660521


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')