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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 23:45:39 +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/t1456530415lelef7o4okmxbon.htm/, Retrieved Thu, 02 May 2024 18:25:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292819, Retrieved Thu, 02 May 2024 18:25:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact67

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] [Opdracht 4/oef2/s...] [2016-02-26 23:45:39] [efea2b8bc7c91838390b884e612c3e3f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92.94
92.97
93.37
92.6
92.84
92.55
92.93
92.44
93.36
93.24
92.65
92.06
92.88
91.69
91.66
90.26
91.11
92.33
91.82
92.24
93.35
93.53
93.34
92.59
92.42
92.64
94.44
93.59
93.39
93.33
93.72
95.43
97.06
97.7
97.59
96.97
97.75
99.27
100.63
99.8
99.5
99.72
99.77
100.18
101.11
100.67
101.13
100.46
101.6
102.3
103.26
104.56
104.61
104.62
105.03
104.93
104.73
104.33
104.6
104.41
104.63
105.55
106.12
106.62
106.72
106.52
106.79
106.95
106.92
106.74
108.13
107.86

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292819&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292819&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292819&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0190.51753519832580.734627425566955
0.0290.88052202887280.592319696932105
0.0391.21589021033710.460696541575777
0.0491.47466032996290.363367022381649
0.0591.66529674224860.309655520004764
0.0691.81156996287730.290001911609933
0.0791.93239382083380.283908207935605
0.0892.03808386532980.276287349145049
0.0992.13275611496320.262080342192319
0.192.21752848881840.24239031021198
0.1192.29274540727370.220783981790568
0.1292.35903017482870.200600383901449
0.1392.41752432296790.184193306144318
0.1492.46973940347710.17265189854108
0.1592.51731524115230.166392921191552
0.1692.56182208270370.165001291008887
0.1792.60463872001050.167859465248698
0.1892.64689262831130.174160844224613
0.1992.68944011424290.182872327076559
0.292.73287119918530.192861582186274
0.2192.7775315470210.20339875300944
0.2292.8235578184430.213587413042382
0.2392.8709244466610.223030557157227
0.2492.91950115585450.231368566353323
0.2592.96912240810910.238629868807108
0.2693.01967146205120.245208137410407
0.2793.07118121500940.252064044211719
0.2893.12395041235130.260868308816718
0.2993.17866745519540.274464277627111
0.393.23652660488650.296208860775292
0.3193.29931527636920.330453256934424
0.3293.36944859720060.381248588539009
0.3393.44992991296870.451911902607773
0.3493.54422370255260.544173932385711
0.3593.65603951913490.658408961745106
0.3693.78904022370670.792518286051866
0.3793.94650239170850.943124453726201
0.3894.1309685160971.10473221243121
0.3994.34393683002521.27059451365028
0.494.58563328854391.43247533872169
0.4194.85490085781871.58270082719068
0.4295.14922487277991.71381021011042
0.4395.46489270864691.81984736452002
0.4495.79726549188251.89693300934259
0.4596.14112344889691.94273772546106
0.4696.49103822896951.95770823684343
0.4796.84172666877641.94416050873508
0.4897.18835010315521.90546723438507
0.4997.5267384506171.84591474163036
0.597.85353471200491.77047379837518
0.5198.16626912718731.68366427901127
0.5298.46338023306821.59054960098374
0.5398.74420159124431.49529813293591
0.5499.00892903274091.40241581628393
0.5599.25857616975051.31623041276442
0.5699.49491822904191.24071679747086
0.5799.72041803724741.1798749271697
0.5899.9381243811191.1371966542087
0.59100.1515322726511.11525372582036
0.6100.3643967154891.11546651270512
0.61100.5804962188431.13759400917875
0.62100.8033495131171.17927060082892
0.63101.0358986047351.23619163934084
0.64101.2801828321331.30247193273347
0.65101.5370402775751.37041173243172
0.66101.8058819059181.4314857748052
0.67102.0845865918581.47715086150121
0.68102.3695585629841.49977195576987
0.69102.6559712270931.49322541487523
0.7102.9381941869431.4543117982589
0.71103.21036795951.38336417909662
0.72103.4670604077681.28397759849633
0.73103.7039176770941.16291910201436
0.74103.9182163156451.02954580205691
0.75104.109234333680.894516147202309
0.76104.2783846886380.769076716050208
0.77104.4290886880340.663392138452028
0.78104.5664011269950.586157495356688
0.79104.696427127050.543087322747653
0.8104.825590078110.535018072870792
0.81104.9598229101960.556572255230772
0.82105.1037660470620.597989682202976
0.83105.2600685693740.647156409164236
0.84105.4289025171810.691568224802689
0.85105.6078042804460.719948968887696
0.86105.7919367618360.723464122494778
0.87105.9748093203680.697270365312674
0.88106.1494015879680.641700601487232
0.89106.3095380207880.56258654476779
0.9106.451301008470.47021172983714
0.91106.5742996423570.37775971727511
0.92106.6827214113130.29963961166023
0.93106.7861439274410.251751960021418
0.94106.8997758276930.251799292490819
0.95107.0428991448790.309751688435722
0.96107.2332454694070.409204012490043
0.97107.4755483480180.498354973203932
0.98107.7468016175150.501148292667308
0.99107.9891549470020.386689231154207

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 90.5175351983258 & 0.734627425566955 \tabularnewline
0.02 & 90.8805220288728 & 0.592319696932105 \tabularnewline
0.03 & 91.2158902103371 & 0.460696541575777 \tabularnewline
0.04 & 91.4746603299629 & 0.363367022381649 \tabularnewline
0.05 & 91.6652967422486 & 0.309655520004764 \tabularnewline
0.06 & 91.8115699628773 & 0.290001911609933 \tabularnewline
0.07 & 91.9323938208338 & 0.283908207935605 \tabularnewline
0.08 & 92.0380838653298 & 0.276287349145049 \tabularnewline
0.09 & 92.1327561149632 & 0.262080342192319 \tabularnewline
0.1 & 92.2175284888184 & 0.24239031021198 \tabularnewline
0.11 & 92.2927454072737 & 0.220783981790568 \tabularnewline
0.12 & 92.3590301748287 & 0.200600383901449 \tabularnewline
0.13 & 92.4175243229679 & 0.184193306144318 \tabularnewline
0.14 & 92.4697394034771 & 0.17265189854108 \tabularnewline
0.15 & 92.5173152411523 & 0.166392921191552 \tabularnewline
0.16 & 92.5618220827037 & 0.165001291008887 \tabularnewline
0.17 & 92.6046387200105 & 0.167859465248698 \tabularnewline
0.18 & 92.6468926283113 & 0.174160844224613 \tabularnewline
0.19 & 92.6894401142429 & 0.182872327076559 \tabularnewline
0.2 & 92.7328711991853 & 0.192861582186274 \tabularnewline
0.21 & 92.777531547021 & 0.20339875300944 \tabularnewline
0.22 & 92.823557818443 & 0.213587413042382 \tabularnewline
0.23 & 92.870924446661 & 0.223030557157227 \tabularnewline
0.24 & 92.9195011558545 & 0.231368566353323 \tabularnewline
0.25 & 92.9691224081091 & 0.238629868807108 \tabularnewline
0.26 & 93.0196714620512 & 0.245208137410407 \tabularnewline
0.27 & 93.0711812150094 & 0.252064044211719 \tabularnewline
0.28 & 93.1239504123513 & 0.260868308816718 \tabularnewline
0.29 & 93.1786674551954 & 0.274464277627111 \tabularnewline
0.3 & 93.2365266048865 & 0.296208860775292 \tabularnewline
0.31 & 93.2993152763692 & 0.330453256934424 \tabularnewline
0.32 & 93.3694485972006 & 0.381248588539009 \tabularnewline
0.33 & 93.4499299129687 & 0.451911902607773 \tabularnewline
0.34 & 93.5442237025526 & 0.544173932385711 \tabularnewline
0.35 & 93.6560395191349 & 0.658408961745106 \tabularnewline
0.36 & 93.7890402237067 & 0.792518286051866 \tabularnewline
0.37 & 93.9465023917085 & 0.943124453726201 \tabularnewline
0.38 & 94.130968516097 & 1.10473221243121 \tabularnewline
0.39 & 94.3439368300252 & 1.27059451365028 \tabularnewline
0.4 & 94.5856332885439 & 1.43247533872169 \tabularnewline
0.41 & 94.8549008578187 & 1.58270082719068 \tabularnewline
0.42 & 95.1492248727799 & 1.71381021011042 \tabularnewline
0.43 & 95.4648927086469 & 1.81984736452002 \tabularnewline
0.44 & 95.7972654918825 & 1.89693300934259 \tabularnewline
0.45 & 96.1411234488969 & 1.94273772546106 \tabularnewline
0.46 & 96.4910382289695 & 1.95770823684343 \tabularnewline
0.47 & 96.8417266687764 & 1.94416050873508 \tabularnewline
0.48 & 97.1883501031552 & 1.90546723438507 \tabularnewline
0.49 & 97.526738450617 & 1.84591474163036 \tabularnewline
0.5 & 97.8535347120049 & 1.77047379837518 \tabularnewline
0.51 & 98.1662691271873 & 1.68366427901127 \tabularnewline
0.52 & 98.4633802330682 & 1.59054960098374 \tabularnewline
0.53 & 98.7442015912443 & 1.49529813293591 \tabularnewline
0.54 & 99.0089290327409 & 1.40241581628393 \tabularnewline
0.55 & 99.2585761697505 & 1.31623041276442 \tabularnewline
0.56 & 99.4949182290419 & 1.24071679747086 \tabularnewline
0.57 & 99.7204180372474 & 1.1798749271697 \tabularnewline
0.58 & 99.938124381119 & 1.1371966542087 \tabularnewline
0.59 & 100.151532272651 & 1.11525372582036 \tabularnewline
0.6 & 100.364396715489 & 1.11546651270512 \tabularnewline
0.61 & 100.580496218843 & 1.13759400917875 \tabularnewline
0.62 & 100.803349513117 & 1.17927060082892 \tabularnewline
0.63 & 101.035898604735 & 1.23619163934084 \tabularnewline
0.64 & 101.280182832133 & 1.30247193273347 \tabularnewline
0.65 & 101.537040277575 & 1.37041173243172 \tabularnewline
0.66 & 101.805881905918 & 1.4314857748052 \tabularnewline
0.67 & 102.084586591858 & 1.47715086150121 \tabularnewline
0.68 & 102.369558562984 & 1.49977195576987 \tabularnewline
0.69 & 102.655971227093 & 1.49322541487523 \tabularnewline
0.7 & 102.938194186943 & 1.4543117982589 \tabularnewline
0.71 & 103.2103679595 & 1.38336417909662 \tabularnewline
0.72 & 103.467060407768 & 1.28397759849633 \tabularnewline
0.73 & 103.703917677094 & 1.16291910201436 \tabularnewline
0.74 & 103.918216315645 & 1.02954580205691 \tabularnewline
0.75 & 104.10923433368 & 0.894516147202309 \tabularnewline
0.76 & 104.278384688638 & 0.769076716050208 \tabularnewline
0.77 & 104.429088688034 & 0.663392138452028 \tabularnewline
0.78 & 104.566401126995 & 0.586157495356688 \tabularnewline
0.79 & 104.69642712705 & 0.543087322747653 \tabularnewline
0.8 & 104.82559007811 & 0.535018072870792 \tabularnewline
0.81 & 104.959822910196 & 0.556572255230772 \tabularnewline
0.82 & 105.103766047062 & 0.597989682202976 \tabularnewline
0.83 & 105.260068569374 & 0.647156409164236 \tabularnewline
0.84 & 105.428902517181 & 0.691568224802689 \tabularnewline
0.85 & 105.607804280446 & 0.719948968887696 \tabularnewline
0.86 & 105.791936761836 & 0.723464122494778 \tabularnewline
0.87 & 105.974809320368 & 0.697270365312674 \tabularnewline
0.88 & 106.149401587968 & 0.641700601487232 \tabularnewline
0.89 & 106.309538020788 & 0.56258654476779 \tabularnewline
0.9 & 106.45130100847 & 0.47021172983714 \tabularnewline
0.91 & 106.574299642357 & 0.37775971727511 \tabularnewline
0.92 & 106.682721411313 & 0.29963961166023 \tabularnewline
0.93 & 106.786143927441 & 0.251751960021418 \tabularnewline
0.94 & 106.899775827693 & 0.251799292490819 \tabularnewline
0.95 & 107.042899144879 & 0.309751688435722 \tabularnewline
0.96 & 107.233245469407 & 0.409204012490043 \tabularnewline
0.97 & 107.475548348018 & 0.498354973203932 \tabularnewline
0.98 & 107.746801617515 & 0.501148292667308 \tabularnewline
0.99 & 107.989154947002 & 0.386689231154207 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292819&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]90.5175351983258[/C][C]0.734627425566955[/C][/ROW]
[ROW][C]0.02[/C][C]90.8805220288728[/C][C]0.592319696932105[/C][/ROW]
[ROW][C]0.03[/C][C]91.2158902103371[/C][C]0.460696541575777[/C][/ROW]
[ROW][C]0.04[/C][C]91.4746603299629[/C][C]0.363367022381649[/C][/ROW]
[ROW][C]0.05[/C][C]91.6652967422486[/C][C]0.309655520004764[/C][/ROW]
[ROW][C]0.06[/C][C]91.8115699628773[/C][C]0.290001911609933[/C][/ROW]
[ROW][C]0.07[/C][C]91.9323938208338[/C][C]0.283908207935605[/C][/ROW]
[ROW][C]0.08[/C][C]92.0380838653298[/C][C]0.276287349145049[/C][/ROW]
[ROW][C]0.09[/C][C]92.1327561149632[/C][C]0.262080342192319[/C][/ROW]
[ROW][C]0.1[/C][C]92.2175284888184[/C][C]0.24239031021198[/C][/ROW]
[ROW][C]0.11[/C][C]92.2927454072737[/C][C]0.220783981790568[/C][/ROW]
[ROW][C]0.12[/C][C]92.3590301748287[/C][C]0.200600383901449[/C][/ROW]
[ROW][C]0.13[/C][C]92.4175243229679[/C][C]0.184193306144318[/C][/ROW]
[ROW][C]0.14[/C][C]92.4697394034771[/C][C]0.17265189854108[/C][/ROW]
[ROW][C]0.15[/C][C]92.5173152411523[/C][C]0.166392921191552[/C][/ROW]
[ROW][C]0.16[/C][C]92.5618220827037[/C][C]0.165001291008887[/C][/ROW]
[ROW][C]0.17[/C][C]92.6046387200105[/C][C]0.167859465248698[/C][/ROW]
[ROW][C]0.18[/C][C]92.6468926283113[/C][C]0.174160844224613[/C][/ROW]
[ROW][C]0.19[/C][C]92.6894401142429[/C][C]0.182872327076559[/C][/ROW]
[ROW][C]0.2[/C][C]92.7328711991853[/C][C]0.192861582186274[/C][/ROW]
[ROW][C]0.21[/C][C]92.777531547021[/C][C]0.20339875300944[/C][/ROW]
[ROW][C]0.22[/C][C]92.823557818443[/C][C]0.213587413042382[/C][/ROW]
[ROW][C]0.23[/C][C]92.870924446661[/C][C]0.223030557157227[/C][/ROW]
[ROW][C]0.24[/C][C]92.9195011558545[/C][C]0.231368566353323[/C][/ROW]
[ROW][C]0.25[/C][C]92.9691224081091[/C][C]0.238629868807108[/C][/ROW]
[ROW][C]0.26[/C][C]93.0196714620512[/C][C]0.245208137410407[/C][/ROW]
[ROW][C]0.27[/C][C]93.0711812150094[/C][C]0.252064044211719[/C][/ROW]
[ROW][C]0.28[/C][C]93.1239504123513[/C][C]0.260868308816718[/C][/ROW]
[ROW][C]0.29[/C][C]93.1786674551954[/C][C]0.274464277627111[/C][/ROW]
[ROW][C]0.3[/C][C]93.2365266048865[/C][C]0.296208860775292[/C][/ROW]
[ROW][C]0.31[/C][C]93.2993152763692[/C][C]0.330453256934424[/C][/ROW]
[ROW][C]0.32[/C][C]93.3694485972006[/C][C]0.381248588539009[/C][/ROW]
[ROW][C]0.33[/C][C]93.4499299129687[/C][C]0.451911902607773[/C][/ROW]
[ROW][C]0.34[/C][C]93.5442237025526[/C][C]0.544173932385711[/C][/ROW]
[ROW][C]0.35[/C][C]93.6560395191349[/C][C]0.658408961745106[/C][/ROW]
[ROW][C]0.36[/C][C]93.7890402237067[/C][C]0.792518286051866[/C][/ROW]
[ROW][C]0.37[/C][C]93.9465023917085[/C][C]0.943124453726201[/C][/ROW]
[ROW][C]0.38[/C][C]94.130968516097[/C][C]1.10473221243121[/C][/ROW]
[ROW][C]0.39[/C][C]94.3439368300252[/C][C]1.27059451365028[/C][/ROW]
[ROW][C]0.4[/C][C]94.5856332885439[/C][C]1.43247533872169[/C][/ROW]
[ROW][C]0.41[/C][C]94.8549008578187[/C][C]1.58270082719068[/C][/ROW]
[ROW][C]0.42[/C][C]95.1492248727799[/C][C]1.71381021011042[/C][/ROW]
[ROW][C]0.43[/C][C]95.4648927086469[/C][C]1.81984736452002[/C][/ROW]
[ROW][C]0.44[/C][C]95.7972654918825[/C][C]1.89693300934259[/C][/ROW]
[ROW][C]0.45[/C][C]96.1411234488969[/C][C]1.94273772546106[/C][/ROW]
[ROW][C]0.46[/C][C]96.4910382289695[/C][C]1.95770823684343[/C][/ROW]
[ROW][C]0.47[/C][C]96.8417266687764[/C][C]1.94416050873508[/C][/ROW]
[ROW][C]0.48[/C][C]97.1883501031552[/C][C]1.90546723438507[/C][/ROW]
[ROW][C]0.49[/C][C]97.526738450617[/C][C]1.84591474163036[/C][/ROW]
[ROW][C]0.5[/C][C]97.8535347120049[/C][C]1.77047379837518[/C][/ROW]
[ROW][C]0.51[/C][C]98.1662691271873[/C][C]1.68366427901127[/C][/ROW]
[ROW][C]0.52[/C][C]98.4633802330682[/C][C]1.59054960098374[/C][/ROW]
[ROW][C]0.53[/C][C]98.7442015912443[/C][C]1.49529813293591[/C][/ROW]
[ROW][C]0.54[/C][C]99.0089290327409[/C][C]1.40241581628393[/C][/ROW]
[ROW][C]0.55[/C][C]99.2585761697505[/C][C]1.31623041276442[/C][/ROW]
[ROW][C]0.56[/C][C]99.4949182290419[/C][C]1.24071679747086[/C][/ROW]
[ROW][C]0.57[/C][C]99.7204180372474[/C][C]1.1798749271697[/C][/ROW]
[ROW][C]0.58[/C][C]99.938124381119[/C][C]1.1371966542087[/C][/ROW]
[ROW][C]0.59[/C][C]100.151532272651[/C][C]1.11525372582036[/C][/ROW]
[ROW][C]0.6[/C][C]100.364396715489[/C][C]1.11546651270512[/C][/ROW]
[ROW][C]0.61[/C][C]100.580496218843[/C][C]1.13759400917875[/C][/ROW]
[ROW][C]0.62[/C][C]100.803349513117[/C][C]1.17927060082892[/C][/ROW]
[ROW][C]0.63[/C][C]101.035898604735[/C][C]1.23619163934084[/C][/ROW]
[ROW][C]0.64[/C][C]101.280182832133[/C][C]1.30247193273347[/C][/ROW]
[ROW][C]0.65[/C][C]101.537040277575[/C][C]1.37041173243172[/C][/ROW]
[ROW][C]0.66[/C][C]101.805881905918[/C][C]1.4314857748052[/C][/ROW]
[ROW][C]0.67[/C][C]102.084586591858[/C][C]1.47715086150121[/C][/ROW]
[ROW][C]0.68[/C][C]102.369558562984[/C][C]1.49977195576987[/C][/ROW]
[ROW][C]0.69[/C][C]102.655971227093[/C][C]1.49322541487523[/C][/ROW]
[ROW][C]0.7[/C][C]102.938194186943[/C][C]1.4543117982589[/C][/ROW]
[ROW][C]0.71[/C][C]103.2103679595[/C][C]1.38336417909662[/C][/ROW]
[ROW][C]0.72[/C][C]103.467060407768[/C][C]1.28397759849633[/C][/ROW]
[ROW][C]0.73[/C][C]103.703917677094[/C][C]1.16291910201436[/C][/ROW]
[ROW][C]0.74[/C][C]103.918216315645[/C][C]1.02954580205691[/C][/ROW]
[ROW][C]0.75[/C][C]104.10923433368[/C][C]0.894516147202309[/C][/ROW]
[ROW][C]0.76[/C][C]104.278384688638[/C][C]0.769076716050208[/C][/ROW]
[ROW][C]0.77[/C][C]104.429088688034[/C][C]0.663392138452028[/C][/ROW]
[ROW][C]0.78[/C][C]104.566401126995[/C][C]0.586157495356688[/C][/ROW]
[ROW][C]0.79[/C][C]104.69642712705[/C][C]0.543087322747653[/C][/ROW]
[ROW][C]0.8[/C][C]104.82559007811[/C][C]0.535018072870792[/C][/ROW]
[ROW][C]0.81[/C][C]104.959822910196[/C][C]0.556572255230772[/C][/ROW]
[ROW][C]0.82[/C][C]105.103766047062[/C][C]0.597989682202976[/C][/ROW]
[ROW][C]0.83[/C][C]105.260068569374[/C][C]0.647156409164236[/C][/ROW]
[ROW][C]0.84[/C][C]105.428902517181[/C][C]0.691568224802689[/C][/ROW]
[ROW][C]0.85[/C][C]105.607804280446[/C][C]0.719948968887696[/C][/ROW]
[ROW][C]0.86[/C][C]105.791936761836[/C][C]0.723464122494778[/C][/ROW]
[ROW][C]0.87[/C][C]105.974809320368[/C][C]0.697270365312674[/C][/ROW]
[ROW][C]0.88[/C][C]106.149401587968[/C][C]0.641700601487232[/C][/ROW]
[ROW][C]0.89[/C][C]106.309538020788[/C][C]0.56258654476779[/C][/ROW]
[ROW][C]0.9[/C][C]106.45130100847[/C][C]0.47021172983714[/C][/ROW]
[ROW][C]0.91[/C][C]106.574299642357[/C][C]0.37775971727511[/C][/ROW]
[ROW][C]0.92[/C][C]106.682721411313[/C][C]0.29963961166023[/C][/ROW]
[ROW][C]0.93[/C][C]106.786143927441[/C][C]0.251751960021418[/C][/ROW]
[ROW][C]0.94[/C][C]106.899775827693[/C][C]0.251799292490819[/C][/ROW]
[ROW][C]0.95[/C][C]107.042899144879[/C][C]0.309751688435722[/C][/ROW]
[ROW][C]0.96[/C][C]107.233245469407[/C][C]0.409204012490043[/C][/ROW]
[ROW][C]0.97[/C][C]107.475548348018[/C][C]0.498354973203932[/C][/ROW]
[ROW][C]0.98[/C][C]107.746801617515[/C][C]0.501148292667308[/C][/ROW]
[ROW][C]0.99[/C][C]107.989154947002[/C][C]0.386689231154207[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292819&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292819&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
0.0190.51753519832580.734627425566955
0.0290.88052202887280.592319696932105
0.0391.21589021033710.460696541575777
0.0491.47466032996290.363367022381649
0.0591.66529674224860.309655520004764
0.0691.81156996287730.290001911609933
0.0791.93239382083380.283908207935605
0.0892.03808386532980.276287349145049
0.0992.13275611496320.262080342192319
0.192.21752848881840.24239031021198
0.1192.29274540727370.220783981790568
0.1292.35903017482870.200600383901449
0.1392.41752432296790.184193306144318
0.1492.46973940347710.17265189854108
0.1592.51731524115230.166392921191552
0.1692.56182208270370.165001291008887
0.1792.60463872001050.167859465248698
0.1892.64689262831130.174160844224613
0.1992.68944011424290.182872327076559
0.292.73287119918530.192861582186274
0.2192.7775315470210.20339875300944
0.2292.8235578184430.213587413042382
0.2392.8709244466610.223030557157227
0.2492.91950115585450.231368566353323
0.2592.96912240810910.238629868807108
0.2693.01967146205120.245208137410407
0.2793.07118121500940.252064044211719
0.2893.12395041235130.260868308816718
0.2993.17866745519540.274464277627111
0.393.23652660488650.296208860775292
0.3193.29931527636920.330453256934424
0.3293.36944859720060.381248588539009
0.3393.44992991296870.451911902607773
0.3493.54422370255260.544173932385711
0.3593.65603951913490.658408961745106
0.3693.78904022370670.792518286051866
0.3793.94650239170850.943124453726201
0.3894.1309685160971.10473221243121
0.3994.34393683002521.27059451365028
0.494.58563328854391.43247533872169
0.4194.85490085781871.58270082719068
0.4295.14922487277991.71381021011042
0.4395.46489270864691.81984736452002
0.4495.79726549188251.89693300934259
0.4596.14112344889691.94273772546106
0.4696.49103822896951.95770823684343
0.4796.84172666877641.94416050873508
0.4897.18835010315521.90546723438507
0.4997.5267384506171.84591474163036
0.597.85353471200491.77047379837518
0.5198.16626912718731.68366427901127
0.5298.46338023306821.59054960098374
0.5398.74420159124431.49529813293591
0.5499.00892903274091.40241581628393
0.5599.25857616975051.31623041276442
0.5699.49491822904191.24071679747086
0.5799.72041803724741.1798749271697
0.5899.9381243811191.1371966542087
0.59100.1515322726511.11525372582036
0.6100.3643967154891.11546651270512
0.61100.5804962188431.13759400917875
0.62100.8033495131171.17927060082892
0.63101.0358986047351.23619163934084
0.64101.2801828321331.30247193273347
0.65101.5370402775751.37041173243172
0.66101.8058819059181.4314857748052
0.67102.0845865918581.47715086150121
0.68102.3695585629841.49977195576987
0.69102.6559712270931.49322541487523
0.7102.9381941869431.4543117982589
0.71103.21036795951.38336417909662
0.72103.4670604077681.28397759849633
0.73103.7039176770941.16291910201436
0.74103.9182163156451.02954580205691
0.75104.109234333680.894516147202309
0.76104.2783846886380.769076716050208
0.77104.4290886880340.663392138452028
0.78104.5664011269950.586157495356688
0.79104.696427127050.543087322747653
0.8104.825590078110.535018072870792
0.81104.9598229101960.556572255230772
0.82105.1037660470620.597989682202976
0.83105.2600685693740.647156409164236
0.84105.4289025171810.691568224802689
0.85105.6078042804460.719948968887696
0.86105.7919367618360.723464122494778
0.87105.9748093203680.697270365312674
0.88106.1494015879680.641700601487232
0.89106.3095380207880.56258654476779
0.9106.451301008470.47021172983714
0.91106.5742996423570.37775971727511
0.92106.6827214113130.29963961166023
0.93106.7861439274410.251751960021418
0.94106.8997758276930.251799292490819
0.95107.0428991448790.309751688435722
0.96107.2332454694070.409204012490043
0.97107.4755483480180.498354973203932
0.98107.7468016175150.501148292667308
0.99107.9891549470020.386689231154207


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')