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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 computationSat, 18 Feb 2012 14:49:42 -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/2012/Feb/18/t1329594620j29ugv56eyxalur.htm/, Retrieved Tue, 30 Apr 2024 04:49:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162825, Retrieved Tue, 30 Apr 2024 04:49:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact184

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 4a Verde...] [2012-02-18 19:39:33] [b7e04f85b2307141ce09b694f4fdfb8f]
-    D  [Harrell-Davis Quantiles] [] [2012-02-18 19:47:31] [b7e04f85b2307141ce09b694f4fdfb8f]
- R PD      [Harrell-Davis Quantiles] [Opdracht 4B2 Verd...] [2012-02-18 19:49:42] [f846b3a26bb0d084da7285efcbdb2f3f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
105.32
106.93
107.99
109.41
111.79
112.7
113.41
115.14
115.6
116.21
116.9
117.31
117.62
118.66
120
120.41
120.8
120.93
121.54
122.04
122.5
123.01
123.79
123.99
124.58
125.77
127.6
130.97
131.79
132.29
132.29
132.65
133.88
134.79
135.9
136.33
136.33
137.91
138.92
140.12
141.92
142.57
143.69
144.61
145.02
146.07
146.77
147.55
148.14
148.62
151.16
152.56
154.55
156.17
158.8
159.39
162.44
166.48
168.3
170.32
170.64
172.85
174.38
177.2
178.96
179.62
180.27
183.38
190.81
193.72
196.86
197.73

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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162825&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162825&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162825&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01105.8639826236471.52071780377068
0.02106.7332572058921.60838968319276
0.03107.7250172861391.8747416779443
0.04108.7443847973282.16175582806391
0.05109.7589168684782.35248181092695
0.06110.7463127301612.41810657936746
0.07111.6835827872142.38596417903979
0.08112.5536081021132.30048156876294
0.09113.3494785100322.1969924693617
0.1114.0733277411842.09481188831709
0.11114.7328456747122.00389438335967
0.12115.3381956808731.93100151394379
0.13115.9001101955841.88151827571527
0.14116.4288103102781.85786243167658
0.15116.9332565932881.85718353057911
0.16117.4205408667321.87178999223358
0.17117.8955024550811.89146229146527
0.18118.3607209983121.90657431538551
0.19118.8169419346911.91123588767626
0.2119.2638451416711.90439145327311
0.21119.700964253931.88974313630971
0.22120.1285410059811.87533207254079
0.23120.5481458710291.87077354773756
0.24120.962979348151.88655707502337
0.25121.3778508581251.93183700429883
0.26121.7988893213262.01312766903012
0.27122.2330632603392.13335958883112
0.28122.6875858377022.29256773574275
0.29123.1692665368822.48657584366329
0.3123.683860459612.70801649464255
0.31124.2354657046522.94590854221798
0.32124.8260272377023.18699033191633
0.33125.4550134814773.41621434643476
0.34126.1193291045613.61906219226632
0.35126.8135071476013.78236896018674
0.36127.5301856045093.89689504660267
0.37128.2608252149363.95780613042292
0.38128.9965788256793.96648163685631
0.39129.7291911788763.92909841318515
0.4130.4518004675763.85603777526541
0.41131.1595316953443.76097771223525
0.42131.8498116405323.65880127610059
0.43132.5223855143173.56318369295442
0.44133.1790638738623.48558730091632
0.45133.8232647027233.43335555639224
0.46134.4594342524673.41064392599332
0.47135.092431274993.4169311079225
0.48135.7269471444383.4489135661534
0.49136.3670156500763.50063398110455
0.5137.0156470483893.56489878966668
0.51137.6746051066693.63341890864751
0.52138.34433428973.69778924346181
0.53139.0240356328053.75127838969042
0.54139.711882012063.78814121762998
0.55140.4053547616123.80504320575688
0.56141.1016735531413.80195485051527
0.57141.7982812601253.78062043198373
0.58142.4933372179913.74665906826128
0.59143.18616798793.70806913837578
0.6143.8776259294513.67471250996662
0.61144.5703130813223.65703548598507
0.62145.2686405613613.66576768851545
0.63145.9787107121973.71056749559829
0.64146.7080287831793.79793220282549
0.65147.4650707987333.93182320569799
0.66148.2587515823884.11155033921415
0.67149.0978483502384.33309190871896
0.68149.9904375738534.58907774217418
0.69150.943393870074.86995353864184
0.7151.9619801861815.16515990142629
0.71153.0495331835055.46333968478091
0.72154.2072251238395.75317088849714
0.73155.4338742940566.02353986029292
0.74156.725788372946.26286025901333
0.75158.0766599920426.4594715105015
0.76159.4775804529136.60117908620453
0.77160.9172741327316.67705777690043
0.78162.3826553989956.67888360620255
0.79163.859751882016.60358627580824
0.8165.3349247274466.45511199858933
0.81166.7961825854646.24503838050637
0.82168.2342972025045.99159391138608
0.83169.6434614246395.71526971845335
0.84171.0214354108765.43518501073627
0.85172.3694801998445.16431218713922
0.86173.6927436404094.91019112993329
0.87175.0018918637544.68081902402068
0.88176.3163711448254.49528505531301
0.89177.6685535298714.39399099809931
0.9179.1063393143554.43825169337317
0.91180.6903348792774.68110551735386
0.92182.4818500899945.11332634728052
0.93184.5209677884295.62091518016906
0.94186.799732868415.99719804301584
0.95189.2413262539376.01201896357464
0.96191.6971404371015.5101524110062
0.97193.9669076545174.48543698651872
0.98195.8359774873163.09394629279486
0.99197.1204638440241.67985566338903

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 105.863982623647 & 1.52071780377068 \tabularnewline
0.02 & 106.733257205892 & 1.60838968319276 \tabularnewline
0.03 & 107.725017286139 & 1.8747416779443 \tabularnewline
0.04 & 108.744384797328 & 2.16175582806391 \tabularnewline
0.05 & 109.758916868478 & 2.35248181092695 \tabularnewline
0.06 & 110.746312730161 & 2.41810657936746 \tabularnewline
0.07 & 111.683582787214 & 2.38596417903979 \tabularnewline
0.08 & 112.553608102113 & 2.30048156876294 \tabularnewline
0.09 & 113.349478510032 & 2.1969924693617 \tabularnewline
0.1 & 114.073327741184 & 2.09481188831709 \tabularnewline
0.11 & 114.732845674712 & 2.00389438335967 \tabularnewline
0.12 & 115.338195680873 & 1.93100151394379 \tabularnewline
0.13 & 115.900110195584 & 1.88151827571527 \tabularnewline
0.14 & 116.428810310278 & 1.85786243167658 \tabularnewline
0.15 & 116.933256593288 & 1.85718353057911 \tabularnewline
0.16 & 117.420540866732 & 1.87178999223358 \tabularnewline
0.17 & 117.895502455081 & 1.89146229146527 \tabularnewline
0.18 & 118.360720998312 & 1.90657431538551 \tabularnewline
0.19 & 118.816941934691 & 1.91123588767626 \tabularnewline
0.2 & 119.263845141671 & 1.90439145327311 \tabularnewline
0.21 & 119.70096425393 & 1.88974313630971 \tabularnewline
0.22 & 120.128541005981 & 1.87533207254079 \tabularnewline
0.23 & 120.548145871029 & 1.87077354773756 \tabularnewline
0.24 & 120.96297934815 & 1.88655707502337 \tabularnewline
0.25 & 121.377850858125 & 1.93183700429883 \tabularnewline
0.26 & 121.798889321326 & 2.01312766903012 \tabularnewline
0.27 & 122.233063260339 & 2.13335958883112 \tabularnewline
0.28 & 122.687585837702 & 2.29256773574275 \tabularnewline
0.29 & 123.169266536882 & 2.48657584366329 \tabularnewline
0.3 & 123.68386045961 & 2.70801649464255 \tabularnewline
0.31 & 124.235465704652 & 2.94590854221798 \tabularnewline
0.32 & 124.826027237702 & 3.18699033191633 \tabularnewline
0.33 & 125.455013481477 & 3.41621434643476 \tabularnewline
0.34 & 126.119329104561 & 3.61906219226632 \tabularnewline
0.35 & 126.813507147601 & 3.78236896018674 \tabularnewline
0.36 & 127.530185604509 & 3.89689504660267 \tabularnewline
0.37 & 128.260825214936 & 3.95780613042292 \tabularnewline
0.38 & 128.996578825679 & 3.96648163685631 \tabularnewline
0.39 & 129.729191178876 & 3.92909841318515 \tabularnewline
0.4 & 130.451800467576 & 3.85603777526541 \tabularnewline
0.41 & 131.159531695344 & 3.76097771223525 \tabularnewline
0.42 & 131.849811640532 & 3.65880127610059 \tabularnewline
0.43 & 132.522385514317 & 3.56318369295442 \tabularnewline
0.44 & 133.179063873862 & 3.48558730091632 \tabularnewline
0.45 & 133.823264702723 & 3.43335555639224 \tabularnewline
0.46 & 134.459434252467 & 3.41064392599332 \tabularnewline
0.47 & 135.09243127499 & 3.4169311079225 \tabularnewline
0.48 & 135.726947144438 & 3.4489135661534 \tabularnewline
0.49 & 136.367015650076 & 3.50063398110455 \tabularnewline
0.5 & 137.015647048389 & 3.56489878966668 \tabularnewline
0.51 & 137.674605106669 & 3.63341890864751 \tabularnewline
0.52 & 138.3443342897 & 3.69778924346181 \tabularnewline
0.53 & 139.024035632805 & 3.75127838969042 \tabularnewline
0.54 & 139.71188201206 & 3.78814121762998 \tabularnewline
0.55 & 140.405354761612 & 3.80504320575688 \tabularnewline
0.56 & 141.101673553141 & 3.80195485051527 \tabularnewline
0.57 & 141.798281260125 & 3.78062043198373 \tabularnewline
0.58 & 142.493337217991 & 3.74665906826128 \tabularnewline
0.59 & 143.1861679879 & 3.70806913837578 \tabularnewline
0.6 & 143.877625929451 & 3.67471250996662 \tabularnewline
0.61 & 144.570313081322 & 3.65703548598507 \tabularnewline
0.62 & 145.268640561361 & 3.66576768851545 \tabularnewline
0.63 & 145.978710712197 & 3.71056749559829 \tabularnewline
0.64 & 146.708028783179 & 3.79793220282549 \tabularnewline
0.65 & 147.465070798733 & 3.93182320569799 \tabularnewline
0.66 & 148.258751582388 & 4.11155033921415 \tabularnewline
0.67 & 149.097848350238 & 4.33309190871896 \tabularnewline
0.68 & 149.990437573853 & 4.58907774217418 \tabularnewline
0.69 & 150.94339387007 & 4.86995353864184 \tabularnewline
0.7 & 151.961980186181 & 5.16515990142629 \tabularnewline
0.71 & 153.049533183505 & 5.46333968478091 \tabularnewline
0.72 & 154.207225123839 & 5.75317088849714 \tabularnewline
0.73 & 155.433874294056 & 6.02353986029292 \tabularnewline
0.74 & 156.72578837294 & 6.26286025901333 \tabularnewline
0.75 & 158.076659992042 & 6.4594715105015 \tabularnewline
0.76 & 159.477580452913 & 6.60117908620453 \tabularnewline
0.77 & 160.917274132731 & 6.67705777690043 \tabularnewline
0.78 & 162.382655398995 & 6.67888360620255 \tabularnewline
0.79 & 163.85975188201 & 6.60358627580824 \tabularnewline
0.8 & 165.334924727446 & 6.45511199858933 \tabularnewline
0.81 & 166.796182585464 & 6.24503838050637 \tabularnewline
0.82 & 168.234297202504 & 5.99159391138608 \tabularnewline
0.83 & 169.643461424639 & 5.71526971845335 \tabularnewline
0.84 & 171.021435410876 & 5.43518501073627 \tabularnewline
0.85 & 172.369480199844 & 5.16431218713922 \tabularnewline
0.86 & 173.692743640409 & 4.91019112993329 \tabularnewline
0.87 & 175.001891863754 & 4.68081902402068 \tabularnewline
0.88 & 176.316371144825 & 4.49528505531301 \tabularnewline
0.89 & 177.668553529871 & 4.39399099809931 \tabularnewline
0.9 & 179.106339314355 & 4.43825169337317 \tabularnewline
0.91 & 180.690334879277 & 4.68110551735386 \tabularnewline
0.92 & 182.481850089994 & 5.11332634728052 \tabularnewline
0.93 & 184.520967788429 & 5.62091518016906 \tabularnewline
0.94 & 186.79973286841 & 5.99719804301584 \tabularnewline
0.95 & 189.241326253937 & 6.01201896357464 \tabularnewline
0.96 & 191.697140437101 & 5.5101524110062 \tabularnewline
0.97 & 193.966907654517 & 4.48543698651872 \tabularnewline
0.98 & 195.835977487316 & 3.09394629279486 \tabularnewline
0.99 & 197.120463844024 & 1.67985566338903 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162825&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]105.863982623647[/C][C]1.52071780377068[/C][/ROW]
[ROW][C]0.02[/C][C]106.733257205892[/C][C]1.60838968319276[/C][/ROW]
[ROW][C]0.03[/C][C]107.725017286139[/C][C]1.8747416779443[/C][/ROW]
[ROW][C]0.04[/C][C]108.744384797328[/C][C]2.16175582806391[/C][/ROW]
[ROW][C]0.05[/C][C]109.758916868478[/C][C]2.35248181092695[/C][/ROW]
[ROW][C]0.06[/C][C]110.746312730161[/C][C]2.41810657936746[/C][/ROW]
[ROW][C]0.07[/C][C]111.683582787214[/C][C]2.38596417903979[/C][/ROW]
[ROW][C]0.08[/C][C]112.553608102113[/C][C]2.30048156876294[/C][/ROW]
[ROW][C]0.09[/C][C]113.349478510032[/C][C]2.1969924693617[/C][/ROW]
[ROW][C]0.1[/C][C]114.073327741184[/C][C]2.09481188831709[/C][/ROW]
[ROW][C]0.11[/C][C]114.732845674712[/C][C]2.00389438335967[/C][/ROW]
[ROW][C]0.12[/C][C]115.338195680873[/C][C]1.93100151394379[/C][/ROW]
[ROW][C]0.13[/C][C]115.900110195584[/C][C]1.88151827571527[/C][/ROW]
[ROW][C]0.14[/C][C]116.428810310278[/C][C]1.85786243167658[/C][/ROW]
[ROW][C]0.15[/C][C]116.933256593288[/C][C]1.85718353057911[/C][/ROW]
[ROW][C]0.16[/C][C]117.420540866732[/C][C]1.87178999223358[/C][/ROW]
[ROW][C]0.17[/C][C]117.895502455081[/C][C]1.89146229146527[/C][/ROW]
[ROW][C]0.18[/C][C]118.360720998312[/C][C]1.90657431538551[/C][/ROW]
[ROW][C]0.19[/C][C]118.816941934691[/C][C]1.91123588767626[/C][/ROW]
[ROW][C]0.2[/C][C]119.263845141671[/C][C]1.90439145327311[/C][/ROW]
[ROW][C]0.21[/C][C]119.70096425393[/C][C]1.88974313630971[/C][/ROW]
[ROW][C]0.22[/C][C]120.128541005981[/C][C]1.87533207254079[/C][/ROW]
[ROW][C]0.23[/C][C]120.548145871029[/C][C]1.87077354773756[/C][/ROW]
[ROW][C]0.24[/C][C]120.96297934815[/C][C]1.88655707502337[/C][/ROW]
[ROW][C]0.25[/C][C]121.377850858125[/C][C]1.93183700429883[/C][/ROW]
[ROW][C]0.26[/C][C]121.798889321326[/C][C]2.01312766903012[/C][/ROW]
[ROW][C]0.27[/C][C]122.233063260339[/C][C]2.13335958883112[/C][/ROW]
[ROW][C]0.28[/C][C]122.687585837702[/C][C]2.29256773574275[/C][/ROW]
[ROW][C]0.29[/C][C]123.169266536882[/C][C]2.48657584366329[/C][/ROW]
[ROW][C]0.3[/C][C]123.68386045961[/C][C]2.70801649464255[/C][/ROW]
[ROW][C]0.31[/C][C]124.235465704652[/C][C]2.94590854221798[/C][/ROW]
[ROW][C]0.32[/C][C]124.826027237702[/C][C]3.18699033191633[/C][/ROW]
[ROW][C]0.33[/C][C]125.455013481477[/C][C]3.41621434643476[/C][/ROW]
[ROW][C]0.34[/C][C]126.119329104561[/C][C]3.61906219226632[/C][/ROW]
[ROW][C]0.35[/C][C]126.813507147601[/C][C]3.78236896018674[/C][/ROW]
[ROW][C]0.36[/C][C]127.530185604509[/C][C]3.89689504660267[/C][/ROW]
[ROW][C]0.37[/C][C]128.260825214936[/C][C]3.95780613042292[/C][/ROW]
[ROW][C]0.38[/C][C]128.996578825679[/C][C]3.96648163685631[/C][/ROW]
[ROW][C]0.39[/C][C]129.729191178876[/C][C]3.92909841318515[/C][/ROW]
[ROW][C]0.4[/C][C]130.451800467576[/C][C]3.85603777526541[/C][/ROW]
[ROW][C]0.41[/C][C]131.159531695344[/C][C]3.76097771223525[/C][/ROW]
[ROW][C]0.42[/C][C]131.849811640532[/C][C]3.65880127610059[/C][/ROW]
[ROW][C]0.43[/C][C]132.522385514317[/C][C]3.56318369295442[/C][/ROW]
[ROW][C]0.44[/C][C]133.179063873862[/C][C]3.48558730091632[/C][/ROW]
[ROW][C]0.45[/C][C]133.823264702723[/C][C]3.43335555639224[/C][/ROW]
[ROW][C]0.46[/C][C]134.459434252467[/C][C]3.41064392599332[/C][/ROW]
[ROW][C]0.47[/C][C]135.09243127499[/C][C]3.4169311079225[/C][/ROW]
[ROW][C]0.48[/C][C]135.726947144438[/C][C]3.4489135661534[/C][/ROW]
[ROW][C]0.49[/C][C]136.367015650076[/C][C]3.50063398110455[/C][/ROW]
[ROW][C]0.5[/C][C]137.015647048389[/C][C]3.56489878966668[/C][/ROW]
[ROW][C]0.51[/C][C]137.674605106669[/C][C]3.63341890864751[/C][/ROW]
[ROW][C]0.52[/C][C]138.3443342897[/C][C]3.69778924346181[/C][/ROW]
[ROW][C]0.53[/C][C]139.024035632805[/C][C]3.75127838969042[/C][/ROW]
[ROW][C]0.54[/C][C]139.71188201206[/C][C]3.78814121762998[/C][/ROW]
[ROW][C]0.55[/C][C]140.405354761612[/C][C]3.80504320575688[/C][/ROW]
[ROW][C]0.56[/C][C]141.101673553141[/C][C]3.80195485051527[/C][/ROW]
[ROW][C]0.57[/C][C]141.798281260125[/C][C]3.78062043198373[/C][/ROW]
[ROW][C]0.58[/C][C]142.493337217991[/C][C]3.74665906826128[/C][/ROW]
[ROW][C]0.59[/C][C]143.1861679879[/C][C]3.70806913837578[/C][/ROW]
[ROW][C]0.6[/C][C]143.877625929451[/C][C]3.67471250996662[/C][/ROW]
[ROW][C]0.61[/C][C]144.570313081322[/C][C]3.65703548598507[/C][/ROW]
[ROW][C]0.62[/C][C]145.268640561361[/C][C]3.66576768851545[/C][/ROW]
[ROW][C]0.63[/C][C]145.978710712197[/C][C]3.71056749559829[/C][/ROW]
[ROW][C]0.64[/C][C]146.708028783179[/C][C]3.79793220282549[/C][/ROW]
[ROW][C]0.65[/C][C]147.465070798733[/C][C]3.93182320569799[/C][/ROW]
[ROW][C]0.66[/C][C]148.258751582388[/C][C]4.11155033921415[/C][/ROW]
[ROW][C]0.67[/C][C]149.097848350238[/C][C]4.33309190871896[/C][/ROW]
[ROW][C]0.68[/C][C]149.990437573853[/C][C]4.58907774217418[/C][/ROW]
[ROW][C]0.69[/C][C]150.94339387007[/C][C]4.86995353864184[/C][/ROW]
[ROW][C]0.7[/C][C]151.961980186181[/C][C]5.16515990142629[/C][/ROW]
[ROW][C]0.71[/C][C]153.049533183505[/C][C]5.46333968478091[/C][/ROW]
[ROW][C]0.72[/C][C]154.207225123839[/C][C]5.75317088849714[/C][/ROW]
[ROW][C]0.73[/C][C]155.433874294056[/C][C]6.02353986029292[/C][/ROW]
[ROW][C]0.74[/C][C]156.72578837294[/C][C]6.26286025901333[/C][/ROW]
[ROW][C]0.75[/C][C]158.076659992042[/C][C]6.4594715105015[/C][/ROW]
[ROW][C]0.76[/C][C]159.477580452913[/C][C]6.60117908620453[/C][/ROW]
[ROW][C]0.77[/C][C]160.917274132731[/C][C]6.67705777690043[/C][/ROW]
[ROW][C]0.78[/C][C]162.382655398995[/C][C]6.67888360620255[/C][/ROW]
[ROW][C]0.79[/C][C]163.85975188201[/C][C]6.60358627580824[/C][/ROW]
[ROW][C]0.8[/C][C]165.334924727446[/C][C]6.45511199858933[/C][/ROW]
[ROW][C]0.81[/C][C]166.796182585464[/C][C]6.24503838050637[/C][/ROW]
[ROW][C]0.82[/C][C]168.234297202504[/C][C]5.99159391138608[/C][/ROW]
[ROW][C]0.83[/C][C]169.643461424639[/C][C]5.71526971845335[/C][/ROW]
[ROW][C]0.84[/C][C]171.021435410876[/C][C]5.43518501073627[/C][/ROW]
[ROW][C]0.85[/C][C]172.369480199844[/C][C]5.16431218713922[/C][/ROW]
[ROW][C]0.86[/C][C]173.692743640409[/C][C]4.91019112993329[/C][/ROW]
[ROW][C]0.87[/C][C]175.001891863754[/C][C]4.68081902402068[/C][/ROW]
[ROW][C]0.88[/C][C]176.316371144825[/C][C]4.49528505531301[/C][/ROW]
[ROW][C]0.89[/C][C]177.668553529871[/C][C]4.39399099809931[/C][/ROW]
[ROW][C]0.9[/C][C]179.106339314355[/C][C]4.43825169337317[/C][/ROW]
[ROW][C]0.91[/C][C]180.690334879277[/C][C]4.68110551735386[/C][/ROW]
[ROW][C]0.92[/C][C]182.481850089994[/C][C]5.11332634728052[/C][/ROW]
[ROW][C]0.93[/C][C]184.520967788429[/C][C]5.62091518016906[/C][/ROW]
[ROW][C]0.94[/C][C]186.79973286841[/C][C]5.99719804301584[/C][/ROW]
[ROW][C]0.95[/C][C]189.241326253937[/C][C]6.01201896357464[/C][/ROW]
[ROW][C]0.96[/C][C]191.697140437101[/C][C]5.5101524110062[/C][/ROW]
[ROW][C]0.97[/C][C]193.966907654517[/C][C]4.48543698651872[/C][/ROW]
[ROW][C]0.98[/C][C]195.835977487316[/C][C]3.09394629279486[/C][/ROW]
[ROW][C]0.99[/C][C]197.120463844024[/C][C]1.67985566338903[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162825&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162825&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
0.01105.8639826236471.52071780377068
0.02106.7332572058921.60838968319276
0.03107.7250172861391.8747416779443
0.04108.7443847973282.16175582806391
0.05109.7589168684782.35248181092695
0.06110.7463127301612.41810657936746
0.07111.6835827872142.38596417903979
0.08112.5536081021132.30048156876294
0.09113.3494785100322.1969924693617
0.1114.0733277411842.09481188831709
0.11114.7328456747122.00389438335967
0.12115.3381956808731.93100151394379
0.13115.9001101955841.88151827571527
0.14116.4288103102781.85786243167658
0.15116.9332565932881.85718353057911
0.16117.4205408667321.87178999223358
0.17117.8955024550811.89146229146527
0.18118.3607209983121.90657431538551
0.19118.8169419346911.91123588767626
0.2119.2638451416711.90439145327311
0.21119.700964253931.88974313630971
0.22120.1285410059811.87533207254079
0.23120.5481458710291.87077354773756
0.24120.962979348151.88655707502337
0.25121.3778508581251.93183700429883
0.26121.7988893213262.01312766903012
0.27122.2330632603392.13335958883112
0.28122.6875858377022.29256773574275
0.29123.1692665368822.48657584366329
0.3123.683860459612.70801649464255
0.31124.2354657046522.94590854221798
0.32124.8260272377023.18699033191633
0.33125.4550134814773.41621434643476
0.34126.1193291045613.61906219226632
0.35126.8135071476013.78236896018674
0.36127.5301856045093.89689504660267
0.37128.2608252149363.95780613042292
0.38128.9965788256793.96648163685631
0.39129.7291911788763.92909841318515
0.4130.4518004675763.85603777526541
0.41131.1595316953443.76097771223525
0.42131.8498116405323.65880127610059
0.43132.5223855143173.56318369295442
0.44133.1790638738623.48558730091632
0.45133.8232647027233.43335555639224
0.46134.4594342524673.41064392599332
0.47135.092431274993.4169311079225
0.48135.7269471444383.4489135661534
0.49136.3670156500763.50063398110455
0.5137.0156470483893.56489878966668
0.51137.6746051066693.63341890864751
0.52138.34433428973.69778924346181
0.53139.0240356328053.75127838969042
0.54139.711882012063.78814121762998
0.55140.4053547616123.80504320575688
0.56141.1016735531413.80195485051527
0.57141.7982812601253.78062043198373
0.58142.4933372179913.74665906826128
0.59143.18616798793.70806913837578
0.6143.8776259294513.67471250996662
0.61144.5703130813223.65703548598507
0.62145.2686405613613.66576768851545
0.63145.9787107121973.71056749559829
0.64146.7080287831793.79793220282549
0.65147.4650707987333.93182320569799
0.66148.2587515823884.11155033921415
0.67149.0978483502384.33309190871896
0.68149.9904375738534.58907774217418
0.69150.943393870074.86995353864184
0.7151.9619801861815.16515990142629
0.71153.0495331835055.46333968478091
0.72154.2072251238395.75317088849714
0.73155.4338742940566.02353986029292
0.74156.725788372946.26286025901333
0.75158.0766599920426.4594715105015
0.76159.4775804529136.60117908620453
0.77160.9172741327316.67705777690043
0.78162.3826553989956.67888360620255
0.79163.859751882016.60358627580824
0.8165.3349247274466.45511199858933
0.81166.7961825854646.24503838050637
0.82168.2342972025045.99159391138608
0.83169.6434614246395.71526971845335
0.84171.0214354108765.43518501073627
0.85172.3694801998445.16431218713922
0.86173.6927436404094.91019112993329
0.87175.0018918637544.68081902402068
0.88176.3163711448254.49528505531301
0.89177.6685535298714.39399099809931
0.9179.1063393143554.43825169337317
0.91180.6903348792774.68110551735386
0.92182.4818500899945.11332634728052
0.93184.5209677884295.62091518016906
0.94186.799732868415.99719804301584
0.95189.2413262539376.01201896357464
0.96191.6971404371015.5101524110062
0.97193.9669076545174.48543698651872
0.98195.8359774873163.09394629279486
0.99197.1204638440241.67985566338903


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')