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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 30 Dec 2013 16:30:32 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/30/t13884390482nww5y3cxk6e49w.htm/, Retrieved Tue, 23 Apr 2024 07:26:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232697, Retrieved Tue, 23 Apr 2024 07:26:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115

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] [] [2013-10-03 14:46:37] [7693d6bd9b394a2eae1da409a7dd3216]
- R P     [Harrell-Davis Quantiles] [] [2013-12-30 21:30:32] [ffc6217b42a6800413892efb2ef7f057] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
59.8
60.7
59.7
60.2
61.3
59.8
61.2
59.3
59.4
63.1
68
69.4
70.2
72.6
72.1
69.7
71.5
75.7
76
76.4
83.8
86.2
88.5
95.9
103.1
113.5
115.7
113.1
112.7
121.9
120.3
108.7
102.8
83.4
79.4
77.8
85.7
83.2
82
86.9
95.7
97.9
89.3
91.5
86.8
91
93.8
96.8
95.7
91.4
88.7
88.2
87.7
89.5
95.6
100.5
106.3
112
117.7
125
132.4
138.1
134.7
136.7
134.3
131.6
129.8
131.9
129.8
119.4
116.7
112.8
116
117.5
118.8
118.7
116.3
115.2
131.7
133.7
132.5
126.9
122.2
120.2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'George Udny Yule' @ yule.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 & 5 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232697&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232697&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232697&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 time5 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0159.36647731561240.155609388506401
0.0259.48957195470090.228660970550583
0.0359.64727743746840.306128511461735
0.0459.83854113963740.4507026351506
0.0560.08636329587450.70919002003356
0.0660.42652339384291.09550600628816
0.0760.89540525670981.60366574217392
0.0861.52049962354812.19990233939297
0.0962.31298937354652.81798082125991
0.163.26292367567613.37255825478388
0.1164.33921442798783.78687811245894
0.1265.49578018568714.01950938762858
0.1366.68225209898224.07722475717974
0.1467.85530664601994.00870049032101
0.1568.98659648598923.88374657975758
0.1670.0651822504973.76924592786847
0.1771.0948787456683.70984090804258
0.1872.08863339101793.72051499996482
0.1973.06241090490573.7923071644705
0.274.03036713572653.90362493478867
0.2175.00203150516094.0293842919698
0.2275.9813532407224.1469163565171
0.2376.96704468676174.23768084246966
0.2477.95362356545174.28765336131256
0.2578.93272568413074.28776924882997
0.2679.89445212319954.23400914337181
0.2780.82863757819284.12784237585167
0.2881.72597166234123.97525947331783
0.2982.57891041708863.78695241745795
0.383.3823214380643.57570972132947
0.3184.13383161709633.35567373762176
0.3284.83388648912723.14054756308276
0.3385.48556765911082.94279853319427
0.3486.09423520099772.77296205029613
0.3586.66706125983742.63979777421013
0.3687.21250595406392.54960317141314
0.3787.73976880635882.50573643216345
0.3888.25823857429592.50880138410107
0.3988.77696587456922.55600291082887
0.489.30419393346242.64201607998434
0.4189.84699570001452.75897525840189
0.4290.41107123257352.89836996097019
0.4391.00075015162453.05245525436192
0.4491.61921680036073.21538309075771
0.4592.26893317560923.38445672674113
0.4692.9521851760083.56077529694748
0.4793.67163399552883.74920008205898
0.4894.43073036732773.95663419025458
0.4995.23385564712354.19015572768728
0.596.08609447033334.45427128987441
0.5196.99261403505574.74830666509673
0.5297.95771145919595.06486456946097
0.5398.9836739954585.3888829278818
0.54100.0696571472015.70018541254262
0.55101.2108071557145.97399525401084
0.56102.3978294501966.18566196104951
0.57103.6171361827056.31276945565691
0.58104.8516063517766.33935874635904
0.59106.081880887276.25742093833757
0.6107.2880152838856.06846345167876
0.61108.4512452562215.78387625525746
0.62109.5556014325355.42263708343573
0.63110.5891420495985.00906041368744
0.64111.5446505889244.57001605420138
0.65112.4197500289824.13138111705219
0.66113.2164922363593.71513701335455
0.67113.9405658533163.33807471490368
0.68114.6003122261373.01101926084208
0.69115.2057417213522.73898439092463
0.7115.7677093166042.52298970888667
0.71116.2973531441412.3612983247238
0.72116.8058377939342.25134022698835
0.73117.3043853781942.19097447066472
0.74117.8045238250612.18001333499243
0.75118.3184310063962.21989372747671
0.76118.859204096842.31417826940556
0.77119.440843530372.46568783519936
0.78120.0777297219342.67439163442704
0.79120.7834169341472.93394100862475
0.8121.5686981916133.22822465243896
0.81122.4391130329993.53024189466286
0.82123.3923421998983.80330242693752
0.83124.4161799424954.00507525795066
0.84125.4878840821554.09497506774229
0.85126.5755742953624.04301868146277
0.86127.6419417164623.83844217001483
0.87128.6499125112713.49498023048807
0.88129.5692387712273.05019528866332
0.89130.3824844730092.56075786018487
0.9131.0887313687362.09070198772576
0.91131.7037190507461.69883662262743
0.92132.2562169468791.42476743189814
0.93132.7822385229271.27466534129118
0.94133.3206132483381.22072292451945
0.95133.9133276923311.23293784471892
0.96134.6087345679541.31198949529705
0.97135.4539788327341.45022087802275
0.98136.4499540516991.54105332027674
0.99137.4508428878471.47461087011535

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 59.3664773156124 & 0.155609388506401 \tabularnewline
0.02 & 59.4895719547009 & 0.228660970550583 \tabularnewline
0.03 & 59.6472774374684 & 0.306128511461735 \tabularnewline
0.04 & 59.8385411396374 & 0.4507026351506 \tabularnewline
0.05 & 60.0863632958745 & 0.70919002003356 \tabularnewline
0.06 & 60.4265233938429 & 1.09550600628816 \tabularnewline
0.07 & 60.8954052567098 & 1.60366574217392 \tabularnewline
0.08 & 61.5204996235481 & 2.19990233939297 \tabularnewline
0.09 & 62.3129893735465 & 2.81798082125991 \tabularnewline
0.1 & 63.2629236756761 & 3.37255825478388 \tabularnewline
0.11 & 64.3392144279878 & 3.78687811245894 \tabularnewline
0.12 & 65.4957801856871 & 4.01950938762858 \tabularnewline
0.13 & 66.6822520989822 & 4.07722475717974 \tabularnewline
0.14 & 67.8553066460199 & 4.00870049032101 \tabularnewline
0.15 & 68.9865964859892 & 3.88374657975758 \tabularnewline
0.16 & 70.065182250497 & 3.76924592786847 \tabularnewline
0.17 & 71.094878745668 & 3.70984090804258 \tabularnewline
0.18 & 72.0886333910179 & 3.72051499996482 \tabularnewline
0.19 & 73.0624109049057 & 3.7923071644705 \tabularnewline
0.2 & 74.0303671357265 & 3.90362493478867 \tabularnewline
0.21 & 75.0020315051609 & 4.0293842919698 \tabularnewline
0.22 & 75.981353240722 & 4.1469163565171 \tabularnewline
0.23 & 76.9670446867617 & 4.23768084246966 \tabularnewline
0.24 & 77.9536235654517 & 4.28765336131256 \tabularnewline
0.25 & 78.9327256841307 & 4.28776924882997 \tabularnewline
0.26 & 79.8944521231995 & 4.23400914337181 \tabularnewline
0.27 & 80.8286375781928 & 4.12784237585167 \tabularnewline
0.28 & 81.7259716623412 & 3.97525947331783 \tabularnewline
0.29 & 82.5789104170886 & 3.78695241745795 \tabularnewline
0.3 & 83.382321438064 & 3.57570972132947 \tabularnewline
0.31 & 84.1338316170963 & 3.35567373762176 \tabularnewline
0.32 & 84.8338864891272 & 3.14054756308276 \tabularnewline
0.33 & 85.4855676591108 & 2.94279853319427 \tabularnewline
0.34 & 86.0942352009977 & 2.77296205029613 \tabularnewline
0.35 & 86.6670612598374 & 2.63979777421013 \tabularnewline
0.36 & 87.2125059540639 & 2.54960317141314 \tabularnewline
0.37 & 87.7397688063588 & 2.50573643216345 \tabularnewline
0.38 & 88.2582385742959 & 2.50880138410107 \tabularnewline
0.39 & 88.7769658745692 & 2.55600291082887 \tabularnewline
0.4 & 89.3041939334624 & 2.64201607998434 \tabularnewline
0.41 & 89.8469957000145 & 2.75897525840189 \tabularnewline
0.42 & 90.4110712325735 & 2.89836996097019 \tabularnewline
0.43 & 91.0007501516245 & 3.05245525436192 \tabularnewline
0.44 & 91.6192168003607 & 3.21538309075771 \tabularnewline
0.45 & 92.2689331756092 & 3.38445672674113 \tabularnewline
0.46 & 92.952185176008 & 3.56077529694748 \tabularnewline
0.47 & 93.6716339955288 & 3.74920008205898 \tabularnewline
0.48 & 94.4307303673277 & 3.95663419025458 \tabularnewline
0.49 & 95.2338556471235 & 4.19015572768728 \tabularnewline
0.5 & 96.0860944703333 & 4.45427128987441 \tabularnewline
0.51 & 96.9926140350557 & 4.74830666509673 \tabularnewline
0.52 & 97.9577114591959 & 5.06486456946097 \tabularnewline
0.53 & 98.983673995458 & 5.3888829278818 \tabularnewline
0.54 & 100.069657147201 & 5.70018541254262 \tabularnewline
0.55 & 101.210807155714 & 5.97399525401084 \tabularnewline
0.56 & 102.397829450196 & 6.18566196104951 \tabularnewline
0.57 & 103.617136182705 & 6.31276945565691 \tabularnewline
0.58 & 104.851606351776 & 6.33935874635904 \tabularnewline
0.59 & 106.08188088727 & 6.25742093833757 \tabularnewline
0.6 & 107.288015283885 & 6.06846345167876 \tabularnewline
0.61 & 108.451245256221 & 5.78387625525746 \tabularnewline
0.62 & 109.555601432535 & 5.42263708343573 \tabularnewline
0.63 & 110.589142049598 & 5.00906041368744 \tabularnewline
0.64 & 111.544650588924 & 4.57001605420138 \tabularnewline
0.65 & 112.419750028982 & 4.13138111705219 \tabularnewline
0.66 & 113.216492236359 & 3.71513701335455 \tabularnewline
0.67 & 113.940565853316 & 3.33807471490368 \tabularnewline
0.68 & 114.600312226137 & 3.01101926084208 \tabularnewline
0.69 & 115.205741721352 & 2.73898439092463 \tabularnewline
0.7 & 115.767709316604 & 2.52298970888667 \tabularnewline
0.71 & 116.297353144141 & 2.3612983247238 \tabularnewline
0.72 & 116.805837793934 & 2.25134022698835 \tabularnewline
0.73 & 117.304385378194 & 2.19097447066472 \tabularnewline
0.74 & 117.804523825061 & 2.18001333499243 \tabularnewline
0.75 & 118.318431006396 & 2.21989372747671 \tabularnewline
0.76 & 118.85920409684 & 2.31417826940556 \tabularnewline
0.77 & 119.44084353037 & 2.46568783519936 \tabularnewline
0.78 & 120.077729721934 & 2.67439163442704 \tabularnewline
0.79 & 120.783416934147 & 2.93394100862475 \tabularnewline
0.8 & 121.568698191613 & 3.22822465243896 \tabularnewline
0.81 & 122.439113032999 & 3.53024189466286 \tabularnewline
0.82 & 123.392342199898 & 3.80330242693752 \tabularnewline
0.83 & 124.416179942495 & 4.00507525795066 \tabularnewline
0.84 & 125.487884082155 & 4.09497506774229 \tabularnewline
0.85 & 126.575574295362 & 4.04301868146277 \tabularnewline
0.86 & 127.641941716462 & 3.83844217001483 \tabularnewline
0.87 & 128.649912511271 & 3.49498023048807 \tabularnewline
0.88 & 129.569238771227 & 3.05019528866332 \tabularnewline
0.89 & 130.382484473009 & 2.56075786018487 \tabularnewline
0.9 & 131.088731368736 & 2.09070198772576 \tabularnewline
0.91 & 131.703719050746 & 1.69883662262743 \tabularnewline
0.92 & 132.256216946879 & 1.42476743189814 \tabularnewline
0.93 & 132.782238522927 & 1.27466534129118 \tabularnewline
0.94 & 133.320613248338 & 1.22072292451945 \tabularnewline
0.95 & 133.913327692331 & 1.23293784471892 \tabularnewline
0.96 & 134.608734567954 & 1.31198949529705 \tabularnewline
0.97 & 135.453978832734 & 1.45022087802275 \tabularnewline
0.98 & 136.449954051699 & 1.54105332027674 \tabularnewline
0.99 & 137.450842887847 & 1.47461087011535 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232697&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]59.3664773156124[/C][C]0.155609388506401[/C][/ROW]
[ROW][C]0.02[/C][C]59.4895719547009[/C][C]0.228660970550583[/C][/ROW]
[ROW][C]0.03[/C][C]59.6472774374684[/C][C]0.306128511461735[/C][/ROW]
[ROW][C]0.04[/C][C]59.8385411396374[/C][C]0.4507026351506[/C][/ROW]
[ROW][C]0.05[/C][C]60.0863632958745[/C][C]0.70919002003356[/C][/ROW]
[ROW][C]0.06[/C][C]60.4265233938429[/C][C]1.09550600628816[/C][/ROW]
[ROW][C]0.07[/C][C]60.8954052567098[/C][C]1.60366574217392[/C][/ROW]
[ROW][C]0.08[/C][C]61.5204996235481[/C][C]2.19990233939297[/C][/ROW]
[ROW][C]0.09[/C][C]62.3129893735465[/C][C]2.81798082125991[/C][/ROW]
[ROW][C]0.1[/C][C]63.2629236756761[/C][C]3.37255825478388[/C][/ROW]
[ROW][C]0.11[/C][C]64.3392144279878[/C][C]3.78687811245894[/C][/ROW]
[ROW][C]0.12[/C][C]65.4957801856871[/C][C]4.01950938762858[/C][/ROW]
[ROW][C]0.13[/C][C]66.6822520989822[/C][C]4.07722475717974[/C][/ROW]
[ROW][C]0.14[/C][C]67.8553066460199[/C][C]4.00870049032101[/C][/ROW]
[ROW][C]0.15[/C][C]68.9865964859892[/C][C]3.88374657975758[/C][/ROW]
[ROW][C]0.16[/C][C]70.065182250497[/C][C]3.76924592786847[/C][/ROW]
[ROW][C]0.17[/C][C]71.094878745668[/C][C]3.70984090804258[/C][/ROW]
[ROW][C]0.18[/C][C]72.0886333910179[/C][C]3.72051499996482[/C][/ROW]
[ROW][C]0.19[/C][C]73.0624109049057[/C][C]3.7923071644705[/C][/ROW]
[ROW][C]0.2[/C][C]74.0303671357265[/C][C]3.90362493478867[/C][/ROW]
[ROW][C]0.21[/C][C]75.0020315051609[/C][C]4.0293842919698[/C][/ROW]
[ROW][C]0.22[/C][C]75.981353240722[/C][C]4.1469163565171[/C][/ROW]
[ROW][C]0.23[/C][C]76.9670446867617[/C][C]4.23768084246966[/C][/ROW]
[ROW][C]0.24[/C][C]77.9536235654517[/C][C]4.28765336131256[/C][/ROW]
[ROW][C]0.25[/C][C]78.9327256841307[/C][C]4.28776924882997[/C][/ROW]
[ROW][C]0.26[/C][C]79.8944521231995[/C][C]4.23400914337181[/C][/ROW]
[ROW][C]0.27[/C][C]80.8286375781928[/C][C]4.12784237585167[/C][/ROW]
[ROW][C]0.28[/C][C]81.7259716623412[/C][C]3.97525947331783[/C][/ROW]
[ROW][C]0.29[/C][C]82.5789104170886[/C][C]3.78695241745795[/C][/ROW]
[ROW][C]0.3[/C][C]83.382321438064[/C][C]3.57570972132947[/C][/ROW]
[ROW][C]0.31[/C][C]84.1338316170963[/C][C]3.35567373762176[/C][/ROW]
[ROW][C]0.32[/C][C]84.8338864891272[/C][C]3.14054756308276[/C][/ROW]
[ROW][C]0.33[/C][C]85.4855676591108[/C][C]2.94279853319427[/C][/ROW]
[ROW][C]0.34[/C][C]86.0942352009977[/C][C]2.77296205029613[/C][/ROW]
[ROW][C]0.35[/C][C]86.6670612598374[/C][C]2.63979777421013[/C][/ROW]
[ROW][C]0.36[/C][C]87.2125059540639[/C][C]2.54960317141314[/C][/ROW]
[ROW][C]0.37[/C][C]87.7397688063588[/C][C]2.50573643216345[/C][/ROW]
[ROW][C]0.38[/C][C]88.2582385742959[/C][C]2.50880138410107[/C][/ROW]
[ROW][C]0.39[/C][C]88.7769658745692[/C][C]2.55600291082887[/C][/ROW]
[ROW][C]0.4[/C][C]89.3041939334624[/C][C]2.64201607998434[/C][/ROW]
[ROW][C]0.41[/C][C]89.8469957000145[/C][C]2.75897525840189[/C][/ROW]
[ROW][C]0.42[/C][C]90.4110712325735[/C][C]2.89836996097019[/C][/ROW]
[ROW][C]0.43[/C][C]91.0007501516245[/C][C]3.05245525436192[/C][/ROW]
[ROW][C]0.44[/C][C]91.6192168003607[/C][C]3.21538309075771[/C][/ROW]
[ROW][C]0.45[/C][C]92.2689331756092[/C][C]3.38445672674113[/C][/ROW]
[ROW][C]0.46[/C][C]92.952185176008[/C][C]3.56077529694748[/C][/ROW]
[ROW][C]0.47[/C][C]93.6716339955288[/C][C]3.74920008205898[/C][/ROW]
[ROW][C]0.48[/C][C]94.4307303673277[/C][C]3.95663419025458[/C][/ROW]
[ROW][C]0.49[/C][C]95.2338556471235[/C][C]4.19015572768728[/C][/ROW]
[ROW][C]0.5[/C][C]96.0860944703333[/C][C]4.45427128987441[/C][/ROW]
[ROW][C]0.51[/C][C]96.9926140350557[/C][C]4.74830666509673[/C][/ROW]
[ROW][C]0.52[/C][C]97.9577114591959[/C][C]5.06486456946097[/C][/ROW]
[ROW][C]0.53[/C][C]98.983673995458[/C][C]5.3888829278818[/C][/ROW]
[ROW][C]0.54[/C][C]100.069657147201[/C][C]5.70018541254262[/C][/ROW]
[ROW][C]0.55[/C][C]101.210807155714[/C][C]5.97399525401084[/C][/ROW]
[ROW][C]0.56[/C][C]102.397829450196[/C][C]6.18566196104951[/C][/ROW]
[ROW][C]0.57[/C][C]103.617136182705[/C][C]6.31276945565691[/C][/ROW]
[ROW][C]0.58[/C][C]104.851606351776[/C][C]6.33935874635904[/C][/ROW]
[ROW][C]0.59[/C][C]106.08188088727[/C][C]6.25742093833757[/C][/ROW]
[ROW][C]0.6[/C][C]107.288015283885[/C][C]6.06846345167876[/C][/ROW]
[ROW][C]0.61[/C][C]108.451245256221[/C][C]5.78387625525746[/C][/ROW]
[ROW][C]0.62[/C][C]109.555601432535[/C][C]5.42263708343573[/C][/ROW]
[ROW][C]0.63[/C][C]110.589142049598[/C][C]5.00906041368744[/C][/ROW]
[ROW][C]0.64[/C][C]111.544650588924[/C][C]4.57001605420138[/C][/ROW]
[ROW][C]0.65[/C][C]112.419750028982[/C][C]4.13138111705219[/C][/ROW]
[ROW][C]0.66[/C][C]113.216492236359[/C][C]3.71513701335455[/C][/ROW]
[ROW][C]0.67[/C][C]113.940565853316[/C][C]3.33807471490368[/C][/ROW]
[ROW][C]0.68[/C][C]114.600312226137[/C][C]3.01101926084208[/C][/ROW]
[ROW][C]0.69[/C][C]115.205741721352[/C][C]2.73898439092463[/C][/ROW]
[ROW][C]0.7[/C][C]115.767709316604[/C][C]2.52298970888667[/C][/ROW]
[ROW][C]0.71[/C][C]116.297353144141[/C][C]2.3612983247238[/C][/ROW]
[ROW][C]0.72[/C][C]116.805837793934[/C][C]2.25134022698835[/C][/ROW]
[ROW][C]0.73[/C][C]117.304385378194[/C][C]2.19097447066472[/C][/ROW]
[ROW][C]0.74[/C][C]117.804523825061[/C][C]2.18001333499243[/C][/ROW]
[ROW][C]0.75[/C][C]118.318431006396[/C][C]2.21989372747671[/C][/ROW]
[ROW][C]0.76[/C][C]118.85920409684[/C][C]2.31417826940556[/C][/ROW]
[ROW][C]0.77[/C][C]119.44084353037[/C][C]2.46568783519936[/C][/ROW]
[ROW][C]0.78[/C][C]120.077729721934[/C][C]2.67439163442704[/C][/ROW]
[ROW][C]0.79[/C][C]120.783416934147[/C][C]2.93394100862475[/C][/ROW]
[ROW][C]0.8[/C][C]121.568698191613[/C][C]3.22822465243896[/C][/ROW]
[ROW][C]0.81[/C][C]122.439113032999[/C][C]3.53024189466286[/C][/ROW]
[ROW][C]0.82[/C][C]123.392342199898[/C][C]3.80330242693752[/C][/ROW]
[ROW][C]0.83[/C][C]124.416179942495[/C][C]4.00507525795066[/C][/ROW]
[ROW][C]0.84[/C][C]125.487884082155[/C][C]4.09497506774229[/C][/ROW]
[ROW][C]0.85[/C][C]126.575574295362[/C][C]4.04301868146277[/C][/ROW]
[ROW][C]0.86[/C][C]127.641941716462[/C][C]3.83844217001483[/C][/ROW]
[ROW][C]0.87[/C][C]128.649912511271[/C][C]3.49498023048807[/C][/ROW]
[ROW][C]0.88[/C][C]129.569238771227[/C][C]3.05019528866332[/C][/ROW]
[ROW][C]0.89[/C][C]130.382484473009[/C][C]2.56075786018487[/C][/ROW]
[ROW][C]0.9[/C][C]131.088731368736[/C][C]2.09070198772576[/C][/ROW]
[ROW][C]0.91[/C][C]131.703719050746[/C][C]1.69883662262743[/C][/ROW]
[ROW][C]0.92[/C][C]132.256216946879[/C][C]1.42476743189814[/C][/ROW]
[ROW][C]0.93[/C][C]132.782238522927[/C][C]1.27466534129118[/C][/ROW]
[ROW][C]0.94[/C][C]133.320613248338[/C][C]1.22072292451945[/C][/ROW]
[ROW][C]0.95[/C][C]133.913327692331[/C][C]1.23293784471892[/C][/ROW]
[ROW][C]0.96[/C][C]134.608734567954[/C][C]1.31198949529705[/C][/ROW]
[ROW][C]0.97[/C][C]135.453978832734[/C][C]1.45022087802275[/C][/ROW]
[ROW][C]0.98[/C][C]136.449954051699[/C][C]1.54105332027674[/C][/ROW]
[ROW][C]0.99[/C][C]137.450842887847[/C][C]1.47461087011535[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232697&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232697&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
0.0159.36647731561240.155609388506401
0.0259.48957195470090.228660970550583
0.0359.64727743746840.306128511461735
0.0459.83854113963740.4507026351506
0.0560.08636329587450.70919002003356
0.0660.42652339384291.09550600628816
0.0760.89540525670981.60366574217392
0.0861.52049962354812.19990233939297
0.0962.31298937354652.81798082125991
0.163.26292367567613.37255825478388
0.1164.33921442798783.78687811245894
0.1265.49578018568714.01950938762858
0.1366.68225209898224.07722475717974
0.1467.85530664601994.00870049032101
0.1568.98659648598923.88374657975758
0.1670.0651822504973.76924592786847
0.1771.0948787456683.70984090804258
0.1872.08863339101793.72051499996482
0.1973.06241090490573.7923071644705
0.274.03036713572653.90362493478867
0.2175.00203150516094.0293842919698
0.2275.9813532407224.1469163565171
0.2376.96704468676174.23768084246966
0.2477.95362356545174.28765336131256
0.2578.93272568413074.28776924882997
0.2679.89445212319954.23400914337181
0.2780.82863757819284.12784237585167
0.2881.72597166234123.97525947331783
0.2982.57891041708863.78695241745795
0.383.3823214380643.57570972132947
0.3184.13383161709633.35567373762176
0.3284.83388648912723.14054756308276
0.3385.48556765911082.94279853319427
0.3486.09423520099772.77296205029613
0.3586.66706125983742.63979777421013
0.3687.21250595406392.54960317141314
0.3787.73976880635882.50573643216345
0.3888.25823857429592.50880138410107
0.3988.77696587456922.55600291082887
0.489.30419393346242.64201607998434
0.4189.84699570001452.75897525840189
0.4290.41107123257352.89836996097019
0.4391.00075015162453.05245525436192
0.4491.61921680036073.21538309075771
0.4592.26893317560923.38445672674113
0.4692.9521851760083.56077529694748
0.4793.67163399552883.74920008205898
0.4894.43073036732773.95663419025458
0.4995.23385564712354.19015572768728
0.596.08609447033334.45427128987441
0.5196.99261403505574.74830666509673
0.5297.95771145919595.06486456946097
0.5398.9836739954585.3888829278818
0.54100.0696571472015.70018541254262
0.55101.2108071557145.97399525401084
0.56102.3978294501966.18566196104951
0.57103.6171361827056.31276945565691
0.58104.8516063517766.33935874635904
0.59106.081880887276.25742093833757
0.6107.2880152838856.06846345167876
0.61108.4512452562215.78387625525746
0.62109.5556014325355.42263708343573
0.63110.5891420495985.00906041368744
0.64111.5446505889244.57001605420138
0.65112.4197500289824.13138111705219
0.66113.2164922363593.71513701335455
0.67113.9405658533163.33807471490368
0.68114.6003122261373.01101926084208
0.69115.2057417213522.73898439092463
0.7115.7677093166042.52298970888667
0.71116.2973531441412.3612983247238
0.72116.8058377939342.25134022698835
0.73117.3043853781942.19097447066472
0.74117.8045238250612.18001333499243
0.75118.3184310063962.21989372747671
0.76118.859204096842.31417826940556
0.77119.440843530372.46568783519936
0.78120.0777297219342.67439163442704
0.79120.7834169341472.93394100862475
0.8121.5686981916133.22822465243896
0.81122.4391130329993.53024189466286
0.82123.3923421998983.80330242693752
0.83124.4161799424954.00507525795066
0.84125.4878840821554.09497506774229
0.85126.5755742953624.04301868146277
0.86127.6419417164623.83844217001483
0.87128.6499125112713.49498023048807
0.88129.5692387712273.05019528866332
0.89130.3824844730092.56075786018487
0.9131.0887313687362.09070198772576
0.91131.7037190507461.69883662262743
0.92132.2562169468791.42476743189814
0.93132.7822385229271.27466534129118
0.94133.3206132483381.22072292451945
0.95133.9133276923311.23293784471892
0.96134.6087345679541.31198949529705
0.97135.4539788327341.45022087802275
0.98136.4499540516991.54105332027674
0.99137.4508428878471.47461087011535


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 15 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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')