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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 19 Nov 2010 13:33:33 +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/2010/Nov/19/t1290173519dz0paumu4hr6wwp.htm/, Retrieved Sat, 04 May 2024 05:09:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=97975, Retrieved Sat, 04 May 2024 05:09:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact112

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] [CHE] [2010-11-19 13:33:33] [5398da98f4f83c6a353e4d3806d4bcaa] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97975&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97975&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97975&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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.007407916219483050.00116003393243222
0.02-0.006074116073200710.000348981790677144
0.03-0.005656985191861390.000469158329481885
0.04-0.004951031450811480.00119812687487298
0.05-0.003770826105489790.00155039563676623
0.06-0.002606924809961470.00124451037112975
0.07-0.001793409347512540.000824714002593801
0.08-0.001287385164932860.000549541776792602
0.09-0.0009778147985533890.000345998774903547
0.1-0.0007967091812979580.000210199366177183
0.11-0.0006783089282667840.000185745344264423
0.12-0.0005620797326289380.000240817395558572
0.13-0.0004230704677962970.000288202871293259
0.14-0.0002766450368179170.000273829159667126
0.15-0.0001534091869473370.000203511864622386
0.16-7.13011093178661e-050.000119364821214408
0.17-2.7645696660715e-055.5888625706535e-05
0.18-8.93655793964513e-062.11146383184377e-05
0.19-2.41237261595320e-066.49848058358571e-06
0.2-5.45400148875738e-071.6432529894154e-06
0.21-1.03639683447085e-073.4400192530504e-07
0.22-1.66164787740661e-086.00260299049134e-08
0.23-2.25654598579676e-098.78420591442119e-09
0.24-2.60576114112498e-101.08406344120779e-09
0.25-2.57021538988375e-111.13394402282958e-10
0.26-2.19280650163213e-121.01044569193930e-11
0.27-1.79510332283700e-137.76110066055673e-13
0.28-2.77611619213446e-145.83984876284285e-14
0.29-1.39488638809365e-141.32182606892228e-14
0.3-9.28312641825003e-159.98628578245736e-15
0.31-5.75687517275804e-158.00445769036335e-15
0.32-3.01837143598073e-156.06819600535211e-15
0.33-9.74559426027152e-164.49312738422872e-15
0.345.45444452756886e-163.41443226913845e-15
0.351.72495521237734e-152.77971829073059e-15
0.362.72316058753577e-152.51976212301639e-15
0.373.6890883873201e-152.67432854392808e-15
0.384.78868339654622e-153.34288185478767e-15
0.396.20348402088522e-154.52412880135512e-15
0.48.08896377647241e-156.03884182501228e-15
0.411.05164425766269e-147.56920172928221e-15
0.421.34372752884620e-148.7713460541872e-15
0.431.66920697221556e-149.40002594041685e-15
0.442.00562967540644e-149.36666172828822e-15
0.452.32946232995438e-148.71528701280951e-15
0.462.62028695497265e-147.57085392037146e-15
0.472.86346903956402e-146.11044559494432e-15
0.483.05179098501024e-144.54808453083252e-15
0.493.18596454990827e-143.09922257050170e-15
0.53.27348639771477e-141.92703291951782e-15
0.513.32596143342436e-141.10568312549849e-15
0.523.35606777129415e-146.30470394964605e-16
0.533.37554218049745e-144.71299075288235e-16
0.543.39469303860849e-146.05418524491443e-16
0.553.4227831410901e-149.91033140582481e-16
0.563.46803995686632e-141.57988348421672e-15
0.573.5364165741566e-142.28033886493328e-15
0.583.62935128291436e-142.93473043923965e-15
0.593.74195741165577e-143.3571116782838e-15
0.63.86335620245418e-143.41084875608817e-15
0.613.97974747415933e-143.07728154702576e-15
0.624.07896030996342e-142.46473676640989e-15
0.634.15412615410262e-141.75193284223547e-15
0.644.20471727870807e-141.10451925550208e-15
0.654.23494662436378e-146.17096836569588e-16
0.664.25096658980762e-143.05220171664739e-16
0.674.25850241319121e-141.33933997521617e-16
0.684.26197627302810e-146.49662044851615e-17
0.694.27090830302371e-144.64547944457345e-16
0.74.41952832746883e-148.38343496414134e-15
0.716.86887847657731e-141.33770358922578e-13
0.724.18990184718282e-131.84448494607153e-12
0.734.74360711843819e-122.19003592848893e-11
0.745.06809194565081e-112.23144398391017e-10
0.754.69071367307e-101.94373622972075e-09
0.763.72399929504267e-091.44146651153431e-08
0.772.52633434378502e-089.05960233320947e-08
0.781.45952246670209e-074.80145945200983e-07
0.797.15671181562611e-072.13398932686096e-06
0.82.96889289860111e-067.90504441154065e-06
0.811.03894488103284e-052.42412662354048e-05
0.823.06017877506283e-056.10745286830414e-05
0.837.57993019616443e-050.000125369358452933
0.840.0001581228167990050.000207828407790307
0.850.0002794409208465820.000276156943694149
0.860.0004243108737758740.000295066264918027
0.870.0005700232068747150.000267928822850745
0.880.0007141300075177950.000260042528976165
0.890.0008954764134158860.000357120562828128
0.90.001182604051703410.000567411270493168
0.910.001643398937502030.00084628048285287
0.920.002337758490759240.00118213712806067
0.930.003292095648434830.00148273790559474
0.940.004372500752553400.00143466596646472
0.950.005260008209118930.000927898229986514
0.960.005803246387948790.000455679639317626
0.970.006398824933200850.000706438270072806
0.980.007530026611121970.00104388250674897
0.990.008508061387662630.000364859331553879

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.00740791621948305 & 0.00116003393243222 \tabularnewline
0.02 & -0.00607411607320071 & 0.000348981790677144 \tabularnewline
0.03 & -0.00565698519186139 & 0.000469158329481885 \tabularnewline
0.04 & -0.00495103145081148 & 0.00119812687487298 \tabularnewline
0.05 & -0.00377082610548979 & 0.00155039563676623 \tabularnewline
0.06 & -0.00260692480996147 & 0.00124451037112975 \tabularnewline
0.07 & -0.00179340934751254 & 0.000824714002593801 \tabularnewline
0.08 & -0.00128738516493286 & 0.000549541776792602 \tabularnewline
0.09 & -0.000977814798553389 & 0.000345998774903547 \tabularnewline
0.1 & -0.000796709181297958 & 0.000210199366177183 \tabularnewline
0.11 & -0.000678308928266784 & 0.000185745344264423 \tabularnewline
0.12 & -0.000562079732628938 & 0.000240817395558572 \tabularnewline
0.13 & -0.000423070467796297 & 0.000288202871293259 \tabularnewline
0.14 & -0.000276645036817917 & 0.000273829159667126 \tabularnewline
0.15 & -0.000153409186947337 & 0.000203511864622386 \tabularnewline
0.16 & -7.13011093178661e-05 & 0.000119364821214408 \tabularnewline
0.17 & -2.7645696660715e-05 & 5.5888625706535e-05 \tabularnewline
0.18 & -8.93655793964513e-06 & 2.11146383184377e-05 \tabularnewline
0.19 & -2.41237261595320e-06 & 6.49848058358571e-06 \tabularnewline
0.2 & -5.45400148875738e-07 & 1.6432529894154e-06 \tabularnewline
0.21 & -1.03639683447085e-07 & 3.4400192530504e-07 \tabularnewline
0.22 & -1.66164787740661e-08 & 6.00260299049134e-08 \tabularnewline
0.23 & -2.25654598579676e-09 & 8.78420591442119e-09 \tabularnewline
0.24 & -2.60576114112498e-10 & 1.08406344120779e-09 \tabularnewline
0.25 & -2.57021538988375e-11 & 1.13394402282958e-10 \tabularnewline
0.26 & -2.19280650163213e-12 & 1.01044569193930e-11 \tabularnewline
0.27 & -1.79510332283700e-13 & 7.76110066055673e-13 \tabularnewline
0.28 & -2.77611619213446e-14 & 5.83984876284285e-14 \tabularnewline
0.29 & -1.39488638809365e-14 & 1.32182606892228e-14 \tabularnewline
0.3 & -9.28312641825003e-15 & 9.98628578245736e-15 \tabularnewline
0.31 & -5.75687517275804e-15 & 8.00445769036335e-15 \tabularnewline
0.32 & -3.01837143598073e-15 & 6.06819600535211e-15 \tabularnewline
0.33 & -9.74559426027152e-16 & 4.49312738422872e-15 \tabularnewline
0.34 & 5.45444452756886e-16 & 3.41443226913845e-15 \tabularnewline
0.35 & 1.72495521237734e-15 & 2.77971829073059e-15 \tabularnewline
0.36 & 2.72316058753577e-15 & 2.51976212301639e-15 \tabularnewline
0.37 & 3.6890883873201e-15 & 2.67432854392808e-15 \tabularnewline
0.38 & 4.78868339654622e-15 & 3.34288185478767e-15 \tabularnewline
0.39 & 6.20348402088522e-15 & 4.52412880135512e-15 \tabularnewline
0.4 & 8.08896377647241e-15 & 6.03884182501228e-15 \tabularnewline
0.41 & 1.05164425766269e-14 & 7.56920172928221e-15 \tabularnewline
0.42 & 1.34372752884620e-14 & 8.7713460541872e-15 \tabularnewline
0.43 & 1.66920697221556e-14 & 9.40002594041685e-15 \tabularnewline
0.44 & 2.00562967540644e-14 & 9.36666172828822e-15 \tabularnewline
0.45 & 2.32946232995438e-14 & 8.71528701280951e-15 \tabularnewline
0.46 & 2.62028695497265e-14 & 7.57085392037146e-15 \tabularnewline
0.47 & 2.86346903956402e-14 & 6.11044559494432e-15 \tabularnewline
0.48 & 3.05179098501024e-14 & 4.54808453083252e-15 \tabularnewline
0.49 & 3.18596454990827e-14 & 3.09922257050170e-15 \tabularnewline
0.5 & 3.27348639771477e-14 & 1.92703291951782e-15 \tabularnewline
0.51 & 3.32596143342436e-14 & 1.10568312549849e-15 \tabularnewline
0.52 & 3.35606777129415e-14 & 6.30470394964605e-16 \tabularnewline
0.53 & 3.37554218049745e-14 & 4.71299075288235e-16 \tabularnewline
0.54 & 3.39469303860849e-14 & 6.05418524491443e-16 \tabularnewline
0.55 & 3.4227831410901e-14 & 9.91033140582481e-16 \tabularnewline
0.56 & 3.46803995686632e-14 & 1.57988348421672e-15 \tabularnewline
0.57 & 3.5364165741566e-14 & 2.28033886493328e-15 \tabularnewline
0.58 & 3.62935128291436e-14 & 2.93473043923965e-15 \tabularnewline
0.59 & 3.74195741165577e-14 & 3.3571116782838e-15 \tabularnewline
0.6 & 3.86335620245418e-14 & 3.41084875608817e-15 \tabularnewline
0.61 & 3.97974747415933e-14 & 3.07728154702576e-15 \tabularnewline
0.62 & 4.07896030996342e-14 & 2.46473676640989e-15 \tabularnewline
0.63 & 4.15412615410262e-14 & 1.75193284223547e-15 \tabularnewline
0.64 & 4.20471727870807e-14 & 1.10451925550208e-15 \tabularnewline
0.65 & 4.23494662436378e-14 & 6.17096836569588e-16 \tabularnewline
0.66 & 4.25096658980762e-14 & 3.05220171664739e-16 \tabularnewline
0.67 & 4.25850241319121e-14 & 1.33933997521617e-16 \tabularnewline
0.68 & 4.26197627302810e-14 & 6.49662044851615e-17 \tabularnewline
0.69 & 4.27090830302371e-14 & 4.64547944457345e-16 \tabularnewline
0.7 & 4.41952832746883e-14 & 8.38343496414134e-15 \tabularnewline
0.71 & 6.86887847657731e-14 & 1.33770358922578e-13 \tabularnewline
0.72 & 4.18990184718282e-13 & 1.84448494607153e-12 \tabularnewline
0.73 & 4.74360711843819e-12 & 2.19003592848893e-11 \tabularnewline
0.74 & 5.06809194565081e-11 & 2.23144398391017e-10 \tabularnewline
0.75 & 4.69071367307e-10 & 1.94373622972075e-09 \tabularnewline
0.76 & 3.72399929504267e-09 & 1.44146651153431e-08 \tabularnewline
0.77 & 2.52633434378502e-08 & 9.05960233320947e-08 \tabularnewline
0.78 & 1.45952246670209e-07 & 4.80145945200983e-07 \tabularnewline
0.79 & 7.15671181562611e-07 & 2.13398932686096e-06 \tabularnewline
0.8 & 2.96889289860111e-06 & 7.90504441154065e-06 \tabularnewline
0.81 & 1.03894488103284e-05 & 2.42412662354048e-05 \tabularnewline
0.82 & 3.06017877506283e-05 & 6.10745286830414e-05 \tabularnewline
0.83 & 7.57993019616443e-05 & 0.000125369358452933 \tabularnewline
0.84 & 0.000158122816799005 & 0.000207828407790307 \tabularnewline
0.85 & 0.000279440920846582 & 0.000276156943694149 \tabularnewline
0.86 & 0.000424310873775874 & 0.000295066264918027 \tabularnewline
0.87 & 0.000570023206874715 & 0.000267928822850745 \tabularnewline
0.88 & 0.000714130007517795 & 0.000260042528976165 \tabularnewline
0.89 & 0.000895476413415886 & 0.000357120562828128 \tabularnewline
0.9 & 0.00118260405170341 & 0.000567411270493168 \tabularnewline
0.91 & 0.00164339893750203 & 0.00084628048285287 \tabularnewline
0.92 & 0.00233775849075924 & 0.00118213712806067 \tabularnewline
0.93 & 0.00329209564843483 & 0.00148273790559474 \tabularnewline
0.94 & 0.00437250075255340 & 0.00143466596646472 \tabularnewline
0.95 & 0.00526000820911893 & 0.000927898229986514 \tabularnewline
0.96 & 0.00580324638794879 & 0.000455679639317626 \tabularnewline
0.97 & 0.00639882493320085 & 0.000706438270072806 \tabularnewline
0.98 & 0.00753002661112197 & 0.00104388250674897 \tabularnewline
0.99 & 0.00850806138766263 & 0.000364859331553879 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97975&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]-0.00740791621948305[/C][C]0.00116003393243222[/C][/ROW]
[ROW][C]0.02[/C][C]-0.00607411607320071[/C][C]0.000348981790677144[/C][/ROW]
[ROW][C]0.03[/C][C]-0.00565698519186139[/C][C]0.000469158329481885[/C][/ROW]
[ROW][C]0.04[/C][C]-0.00495103145081148[/C][C]0.00119812687487298[/C][/ROW]
[ROW][C]0.05[/C][C]-0.00377082610548979[/C][C]0.00155039563676623[/C][/ROW]
[ROW][C]0.06[/C][C]-0.00260692480996147[/C][C]0.00124451037112975[/C][/ROW]
[ROW][C]0.07[/C][C]-0.00179340934751254[/C][C]0.000824714002593801[/C][/ROW]
[ROW][C]0.08[/C][C]-0.00128738516493286[/C][C]0.000549541776792602[/C][/ROW]
[ROW][C]0.09[/C][C]-0.000977814798553389[/C][C]0.000345998774903547[/C][/ROW]
[ROW][C]0.1[/C][C]-0.000796709181297958[/C][C]0.000210199366177183[/C][/ROW]
[ROW][C]0.11[/C][C]-0.000678308928266784[/C][C]0.000185745344264423[/C][/ROW]
[ROW][C]0.12[/C][C]-0.000562079732628938[/C][C]0.000240817395558572[/C][/ROW]
[ROW][C]0.13[/C][C]-0.000423070467796297[/C][C]0.000288202871293259[/C][/ROW]
[ROW][C]0.14[/C][C]-0.000276645036817917[/C][C]0.000273829159667126[/C][/ROW]
[ROW][C]0.15[/C][C]-0.000153409186947337[/C][C]0.000203511864622386[/C][/ROW]
[ROW][C]0.16[/C][C]-7.13011093178661e-05[/C][C]0.000119364821214408[/C][/ROW]
[ROW][C]0.17[/C][C]-2.7645696660715e-05[/C][C]5.5888625706535e-05[/C][/ROW]
[ROW][C]0.18[/C][C]-8.93655793964513e-06[/C][C]2.11146383184377e-05[/C][/ROW]
[ROW][C]0.19[/C][C]-2.41237261595320e-06[/C][C]6.49848058358571e-06[/C][/ROW]
[ROW][C]0.2[/C][C]-5.45400148875738e-07[/C][C]1.6432529894154e-06[/C][/ROW]
[ROW][C]0.21[/C][C]-1.03639683447085e-07[/C][C]3.4400192530504e-07[/C][/ROW]
[ROW][C]0.22[/C][C]-1.66164787740661e-08[/C][C]6.00260299049134e-08[/C][/ROW]
[ROW][C]0.23[/C][C]-2.25654598579676e-09[/C][C]8.78420591442119e-09[/C][/ROW]
[ROW][C]0.24[/C][C]-2.60576114112498e-10[/C][C]1.08406344120779e-09[/C][/ROW]
[ROW][C]0.25[/C][C]-2.57021538988375e-11[/C][C]1.13394402282958e-10[/C][/ROW]
[ROW][C]0.26[/C][C]-2.19280650163213e-12[/C][C]1.01044569193930e-11[/C][/ROW]
[ROW][C]0.27[/C][C]-1.79510332283700e-13[/C][C]7.76110066055673e-13[/C][/ROW]
[ROW][C]0.28[/C][C]-2.77611619213446e-14[/C][C]5.83984876284285e-14[/C][/ROW]
[ROW][C]0.29[/C][C]-1.39488638809365e-14[/C][C]1.32182606892228e-14[/C][/ROW]
[ROW][C]0.3[/C][C]-9.28312641825003e-15[/C][C]9.98628578245736e-15[/C][/ROW]
[ROW][C]0.31[/C][C]-5.75687517275804e-15[/C][C]8.00445769036335e-15[/C][/ROW]
[ROW][C]0.32[/C][C]-3.01837143598073e-15[/C][C]6.06819600535211e-15[/C][/ROW]
[ROW][C]0.33[/C][C]-9.74559426027152e-16[/C][C]4.49312738422872e-15[/C][/ROW]
[ROW][C]0.34[/C][C]5.45444452756886e-16[/C][C]3.41443226913845e-15[/C][/ROW]
[ROW][C]0.35[/C][C]1.72495521237734e-15[/C][C]2.77971829073059e-15[/C][/ROW]
[ROW][C]0.36[/C][C]2.72316058753577e-15[/C][C]2.51976212301639e-15[/C][/ROW]
[ROW][C]0.37[/C][C]3.6890883873201e-15[/C][C]2.67432854392808e-15[/C][/ROW]
[ROW][C]0.38[/C][C]4.78868339654622e-15[/C][C]3.34288185478767e-15[/C][/ROW]
[ROW][C]0.39[/C][C]6.20348402088522e-15[/C][C]4.52412880135512e-15[/C][/ROW]
[ROW][C]0.4[/C][C]8.08896377647241e-15[/C][C]6.03884182501228e-15[/C][/ROW]
[ROW][C]0.41[/C][C]1.05164425766269e-14[/C][C]7.56920172928221e-15[/C][/ROW]
[ROW][C]0.42[/C][C]1.34372752884620e-14[/C][C]8.7713460541872e-15[/C][/ROW]
[ROW][C]0.43[/C][C]1.66920697221556e-14[/C][C]9.40002594041685e-15[/C][/ROW]
[ROW][C]0.44[/C][C]2.00562967540644e-14[/C][C]9.36666172828822e-15[/C][/ROW]
[ROW][C]0.45[/C][C]2.32946232995438e-14[/C][C]8.71528701280951e-15[/C][/ROW]
[ROW][C]0.46[/C][C]2.62028695497265e-14[/C][C]7.57085392037146e-15[/C][/ROW]
[ROW][C]0.47[/C][C]2.86346903956402e-14[/C][C]6.11044559494432e-15[/C][/ROW]
[ROW][C]0.48[/C][C]3.05179098501024e-14[/C][C]4.54808453083252e-15[/C][/ROW]
[ROW][C]0.49[/C][C]3.18596454990827e-14[/C][C]3.09922257050170e-15[/C][/ROW]
[ROW][C]0.5[/C][C]3.27348639771477e-14[/C][C]1.92703291951782e-15[/C][/ROW]
[ROW][C]0.51[/C][C]3.32596143342436e-14[/C][C]1.10568312549849e-15[/C][/ROW]
[ROW][C]0.52[/C][C]3.35606777129415e-14[/C][C]6.30470394964605e-16[/C][/ROW]
[ROW][C]0.53[/C][C]3.37554218049745e-14[/C][C]4.71299075288235e-16[/C][/ROW]
[ROW][C]0.54[/C][C]3.39469303860849e-14[/C][C]6.05418524491443e-16[/C][/ROW]
[ROW][C]0.55[/C][C]3.4227831410901e-14[/C][C]9.91033140582481e-16[/C][/ROW]
[ROW][C]0.56[/C][C]3.46803995686632e-14[/C][C]1.57988348421672e-15[/C][/ROW]
[ROW][C]0.57[/C][C]3.5364165741566e-14[/C][C]2.28033886493328e-15[/C][/ROW]
[ROW][C]0.58[/C][C]3.62935128291436e-14[/C][C]2.93473043923965e-15[/C][/ROW]
[ROW][C]0.59[/C][C]3.74195741165577e-14[/C][C]3.3571116782838e-15[/C][/ROW]
[ROW][C]0.6[/C][C]3.86335620245418e-14[/C][C]3.41084875608817e-15[/C][/ROW]
[ROW][C]0.61[/C][C]3.97974747415933e-14[/C][C]3.07728154702576e-15[/C][/ROW]
[ROW][C]0.62[/C][C]4.07896030996342e-14[/C][C]2.46473676640989e-15[/C][/ROW]
[ROW][C]0.63[/C][C]4.15412615410262e-14[/C][C]1.75193284223547e-15[/C][/ROW]
[ROW][C]0.64[/C][C]4.20471727870807e-14[/C][C]1.10451925550208e-15[/C][/ROW]
[ROW][C]0.65[/C][C]4.23494662436378e-14[/C][C]6.17096836569588e-16[/C][/ROW]
[ROW][C]0.66[/C][C]4.25096658980762e-14[/C][C]3.05220171664739e-16[/C][/ROW]
[ROW][C]0.67[/C][C]4.25850241319121e-14[/C][C]1.33933997521617e-16[/C][/ROW]
[ROW][C]0.68[/C][C]4.26197627302810e-14[/C][C]6.49662044851615e-17[/C][/ROW]
[ROW][C]0.69[/C][C]4.27090830302371e-14[/C][C]4.64547944457345e-16[/C][/ROW]
[ROW][C]0.7[/C][C]4.41952832746883e-14[/C][C]8.38343496414134e-15[/C][/ROW]
[ROW][C]0.71[/C][C]6.86887847657731e-14[/C][C]1.33770358922578e-13[/C][/ROW]
[ROW][C]0.72[/C][C]4.18990184718282e-13[/C][C]1.84448494607153e-12[/C][/ROW]
[ROW][C]0.73[/C][C]4.74360711843819e-12[/C][C]2.19003592848893e-11[/C][/ROW]
[ROW][C]0.74[/C][C]5.06809194565081e-11[/C][C]2.23144398391017e-10[/C][/ROW]
[ROW][C]0.75[/C][C]4.69071367307e-10[/C][C]1.94373622972075e-09[/C][/ROW]
[ROW][C]0.76[/C][C]3.72399929504267e-09[/C][C]1.44146651153431e-08[/C][/ROW]
[ROW][C]0.77[/C][C]2.52633434378502e-08[/C][C]9.05960233320947e-08[/C][/ROW]
[ROW][C]0.78[/C][C]1.45952246670209e-07[/C][C]4.80145945200983e-07[/C][/ROW]
[ROW][C]0.79[/C][C]7.15671181562611e-07[/C][C]2.13398932686096e-06[/C][/ROW]
[ROW][C]0.8[/C][C]2.96889289860111e-06[/C][C]7.90504441154065e-06[/C][/ROW]
[ROW][C]0.81[/C][C]1.03894488103284e-05[/C][C]2.42412662354048e-05[/C][/ROW]
[ROW][C]0.82[/C][C]3.06017877506283e-05[/C][C]6.10745286830414e-05[/C][/ROW]
[ROW][C]0.83[/C][C]7.57993019616443e-05[/C][C]0.000125369358452933[/C][/ROW]
[ROW][C]0.84[/C][C]0.000158122816799005[/C][C]0.000207828407790307[/C][/ROW]
[ROW][C]0.85[/C][C]0.000279440920846582[/C][C]0.000276156943694149[/C][/ROW]
[ROW][C]0.86[/C][C]0.000424310873775874[/C][C]0.000295066264918027[/C][/ROW]
[ROW][C]0.87[/C][C]0.000570023206874715[/C][C]0.000267928822850745[/C][/ROW]
[ROW][C]0.88[/C][C]0.000714130007517795[/C][C]0.000260042528976165[/C][/ROW]
[ROW][C]0.89[/C][C]0.000895476413415886[/C][C]0.000357120562828128[/C][/ROW]
[ROW][C]0.9[/C][C]0.00118260405170341[/C][C]0.000567411270493168[/C][/ROW]
[ROW][C]0.91[/C][C]0.00164339893750203[/C][C]0.00084628048285287[/C][/ROW]
[ROW][C]0.92[/C][C]0.00233775849075924[/C][C]0.00118213712806067[/C][/ROW]
[ROW][C]0.93[/C][C]0.00329209564843483[/C][C]0.00148273790559474[/C][/ROW]
[ROW][C]0.94[/C][C]0.00437250075255340[/C][C]0.00143466596646472[/C][/ROW]
[ROW][C]0.95[/C][C]0.00526000820911893[/C][C]0.000927898229986514[/C][/ROW]
[ROW][C]0.96[/C][C]0.00580324638794879[/C][C]0.000455679639317626[/C][/ROW]
[ROW][C]0.97[/C][C]0.00639882493320085[/C][C]0.000706438270072806[/C][/ROW]
[ROW][C]0.98[/C][C]0.00753002661112197[/C][C]0.00104388250674897[/C][/ROW]
[ROW][C]0.99[/C][C]0.00850806138766263[/C][C]0.000364859331553879[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97975&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97975&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
0.01-0.007407916219483050.00116003393243222
0.02-0.006074116073200710.000348981790677144
0.03-0.005656985191861390.000469158329481885
0.04-0.004951031450811480.00119812687487298
0.05-0.003770826105489790.00155039563676623
0.06-0.002606924809961470.00124451037112975
0.07-0.001793409347512540.000824714002593801
0.08-0.001287385164932860.000549541776792602
0.09-0.0009778147985533890.000345998774903547
0.1-0.0007967091812979580.000210199366177183
0.11-0.0006783089282667840.000185745344264423
0.12-0.0005620797326289380.000240817395558572
0.13-0.0004230704677962970.000288202871293259
0.14-0.0002766450368179170.000273829159667126
0.15-0.0001534091869473370.000203511864622386
0.16-7.13011093178661e-050.000119364821214408
0.17-2.7645696660715e-055.5888625706535e-05
0.18-8.93655793964513e-062.11146383184377e-05
0.19-2.41237261595320e-066.49848058358571e-06
0.2-5.45400148875738e-071.6432529894154e-06
0.21-1.03639683447085e-073.4400192530504e-07
0.22-1.66164787740661e-086.00260299049134e-08
0.23-2.25654598579676e-098.78420591442119e-09
0.24-2.60576114112498e-101.08406344120779e-09
0.25-2.57021538988375e-111.13394402282958e-10
0.26-2.19280650163213e-121.01044569193930e-11
0.27-1.79510332283700e-137.76110066055673e-13
0.28-2.77611619213446e-145.83984876284285e-14
0.29-1.39488638809365e-141.32182606892228e-14
0.3-9.28312641825003e-159.98628578245736e-15
0.31-5.75687517275804e-158.00445769036335e-15
0.32-3.01837143598073e-156.06819600535211e-15
0.33-9.74559426027152e-164.49312738422872e-15
0.345.45444452756886e-163.41443226913845e-15
0.351.72495521237734e-152.77971829073059e-15
0.362.72316058753577e-152.51976212301639e-15
0.373.6890883873201e-152.67432854392808e-15
0.384.78868339654622e-153.34288185478767e-15
0.396.20348402088522e-154.52412880135512e-15
0.48.08896377647241e-156.03884182501228e-15
0.411.05164425766269e-147.56920172928221e-15
0.421.34372752884620e-148.7713460541872e-15
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0.990.008508061387662630.000364859331553879


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')