FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 06 Oct 2016 10:31:54 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/06/t1475746385e64m7x8yslm0q6c.htm/, Retrieved Sat, 04 May 2024 21:50:18 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 21:50:18 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
95,9
89,2
100,2
102,3
102,2
100,5
104,1
94,9
97,3
100,3
98
115,1
94,4
91,6
104,1
107,8
101,7
104,1
102
99,9
101,6
101,3
101
115,9
97,5
97,6
109,2
101,6
108,8
108,8
100,9
107,4
101,7
104,5
106,1
116,7
103,7
96,5
114,1
102,8
114,5
107,2
107,9
111,3
99,8
106,7
106,9
115,3
106,1
97,3
109
109,8
116,5
108,3
110,8
108,7
104
111,3
106,5
120,5
110
99,7
109
112,2
116
112,3
113,2
109,9
107,6
110,2
114,9
105,7
123,3
114,6
109,4
114,3

Tables (Output of Computation)





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

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

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

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

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


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

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0190.10527782789552.34850935262246
0.0291.47490190989912.27968268650588
0.0392.83564600275372.05706153663601
0.0493.96800798860651.74733140769834
0.0594.85041654632191.47762103180794
0.0695.53514448433961.28784183817446
0.0796.08086721523631.15563689425356
0.0896.53253524673181.06200259088877
0.0996.92179123078981.00778153934136
0.197.27177162779120.998950014426361
0.1197.5999805472141.03024019429956
0.1297.91869507190011.0834367102322
0.1398.23452514437541.13482777919793
0.1498.54859989770041.1650067546224
0.1598.85786368193251.16394025640713
0.1699.15712032145911.1312615978413
0.1799.44111908639041.07454817072609
0.1899.70607801092841.00485449802278
0.1999.95037183806130.933699192345262
0.2100.1744537920690.869443842660186
0.21100.3802952389450.81640879275105
0.22100.5706781836220.775460647715854
0.23100.7486004446740.745373723541628
0.24100.9169217230640.724563329062687
0.25101.078253886660.71219955915821
0.26101.2350177671550.708544029113861
0.27101.3895606473210.71479895818997
0.28101.5442430033340.732551581869025
0.29101.7014413315790.762621621769303
0.3101.863457768240.804669426832359
0.31102.0323632587720.856741520107417
0.32102.2098217953680.9158594907716
0.33102.3969466666930.978033131560198
0.34102.5942279564421.03977353175134
0.35102.801548869541.09768254057878
0.36103.0182836742381.14967082313432
0.37103.2434490677561.19468075705913
0.38103.4758690908251.23275263568967
0.39103.7143140265041.2643651923769
0.4103.95758523361.29043340792993
0.41104.2045365890351.31124986197246
0.42104.4540431879631.32673301987054
0.43104.7049431239731.33608667329048
0.44104.9559842841781.33817595501103
0.45105.2058039300841.33166526104161
0.46105.4529564251651.3159733405486
0.47105.695988211041.29110008260995
0.48105.9335442027531.25810232792286
0.49106.1644804368821.21827545686791
0.5106.3879562183391.17438633817817
0.51106.6034848442851.12856067748645
0.52106.8109328846521.08298052977569
0.53107.0104705879151.03959037699893
0.54107.2024869497150.99917823592595
0.55107.3874899325590.962114307331961
0.56107.5660141614550.92803866033355
0.57107.7385553175530.896200869724005
0.58107.9055435563180.866033485310966
0.59108.0673593194570.837119545216553
0.6108.2243858404710.809322464359135
0.61108.3770853112730.783134983588962
0.62108.5260815295330.759549209726535
0.63108.6722316446080.740404696795084
0.64108.8166732218240.727265044285588
0.65108.9608391644530.721762739975408
0.66109.1064402671360.725520183697452
0.67109.2554212964830.73927299316696
0.68109.4098998740930.763379299468502
0.69109.5720973522820.797773052020538
0.7109.7442676864430.842183300722865
0.71109.9286252278190.895793431097903
0.72110.1272669257250.957387318959347
0.73110.3420800383331.02550216702397
0.74110.5746242402311.09823989920928
0.75110.8259781258121.17300408012024
0.76111.0965460339121.24643465913307
0.77111.3858335144011.31415969968384
0.78111.6922192389131.37110273841693
0.79112.0127752835071.41158691527568
0.8112.3432092426471.42969231286475
0.81112.6780088290111.42039652554406
0.82113.0108498931721.38084609311868
0.83113.3352754513961.31161711413205
0.84113.645572517821.21722271611414
0.85113.937687487551.10639539392686
0.86114.2099637851520.990645240094824
0.87114.4634938201140.882695713425709
0.88114.701979282090.793334156754868
0.89114.9312072823760.729300445239814
0.9115.1585873996560.691348772826162
0.91115.3936526699910.676729609305812
0.92115.6508952922030.686182324571146
0.93115.9563282469440.737775417508022
0.94116.3576565843780.883052879922825
0.95116.9334424700271.19725237210291
0.96117.7886613557191.7076064609723
0.97119.0146826075312.30012837146072
0.98120.5882077713912.7188890895115
0.99122.2173043623382.80799943033644

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 90.1052778278955 & 2.34850935262246 \tabularnewline
0.02 & 91.4749019098991 & 2.27968268650588 \tabularnewline
0.03 & 92.8356460027537 & 2.05706153663601 \tabularnewline
0.04 & 93.9680079886065 & 1.74733140769834 \tabularnewline
0.05 & 94.8504165463219 & 1.47762103180794 \tabularnewline
0.06 & 95.5351444843396 & 1.28784183817446 \tabularnewline
0.07 & 96.0808672152363 & 1.15563689425356 \tabularnewline
0.08 & 96.5325352467318 & 1.06200259088877 \tabularnewline
0.09 & 96.9217912307898 & 1.00778153934136 \tabularnewline
0.1 & 97.2717716277912 & 0.998950014426361 \tabularnewline
0.11 & 97.599980547214 & 1.03024019429956 \tabularnewline
0.12 & 97.9186950719001 & 1.0834367102322 \tabularnewline
0.13 & 98.2345251443754 & 1.13482777919793 \tabularnewline
0.14 & 98.5485998977004 & 1.1650067546224 \tabularnewline
0.15 & 98.8578636819325 & 1.16394025640713 \tabularnewline
0.16 & 99.1571203214591 & 1.1312615978413 \tabularnewline
0.17 & 99.4411190863904 & 1.07454817072609 \tabularnewline
0.18 & 99.7060780109284 & 1.00485449802278 \tabularnewline
0.19 & 99.9503718380613 & 0.933699192345262 \tabularnewline
0.2 & 100.174453792069 & 0.869443842660186 \tabularnewline
0.21 & 100.380295238945 & 0.81640879275105 \tabularnewline
0.22 & 100.570678183622 & 0.775460647715854 \tabularnewline
0.23 & 100.748600444674 & 0.745373723541628 \tabularnewline
0.24 & 100.916921723064 & 0.724563329062687 \tabularnewline
0.25 & 101.07825388666 & 0.71219955915821 \tabularnewline
0.26 & 101.235017767155 & 0.708544029113861 \tabularnewline
0.27 & 101.389560647321 & 0.71479895818997 \tabularnewline
0.28 & 101.544243003334 & 0.732551581869025 \tabularnewline
0.29 & 101.701441331579 & 0.762621621769303 \tabularnewline
0.3 & 101.86345776824 & 0.804669426832359 \tabularnewline
0.31 & 102.032363258772 & 0.856741520107417 \tabularnewline
0.32 & 102.209821795368 & 0.9158594907716 \tabularnewline
0.33 & 102.396946666693 & 0.978033131560198 \tabularnewline
0.34 & 102.594227956442 & 1.03977353175134 \tabularnewline
0.35 & 102.80154886954 & 1.09768254057878 \tabularnewline
0.36 & 103.018283674238 & 1.14967082313432 \tabularnewline
0.37 & 103.243449067756 & 1.19468075705913 \tabularnewline
0.38 & 103.475869090825 & 1.23275263568967 \tabularnewline
0.39 & 103.714314026504 & 1.2643651923769 \tabularnewline
0.4 & 103.9575852336 & 1.29043340792993 \tabularnewline
0.41 & 104.204536589035 & 1.31124986197246 \tabularnewline
0.42 & 104.454043187963 & 1.32673301987054 \tabularnewline
0.43 & 104.704943123973 & 1.33608667329048 \tabularnewline
0.44 & 104.955984284178 & 1.33817595501103 \tabularnewline
0.45 & 105.205803930084 & 1.33166526104161 \tabularnewline
0.46 & 105.452956425165 & 1.3159733405486 \tabularnewline
0.47 & 105.69598821104 & 1.29110008260995 \tabularnewline
0.48 & 105.933544202753 & 1.25810232792286 \tabularnewline
0.49 & 106.164480436882 & 1.21827545686791 \tabularnewline
0.5 & 106.387956218339 & 1.17438633817817 \tabularnewline
0.51 & 106.603484844285 & 1.12856067748645 \tabularnewline
0.52 & 106.810932884652 & 1.08298052977569 \tabularnewline
0.53 & 107.010470587915 & 1.03959037699893 \tabularnewline
0.54 & 107.202486949715 & 0.99917823592595 \tabularnewline
0.55 & 107.387489932559 & 0.962114307331961 \tabularnewline
0.56 & 107.566014161455 & 0.92803866033355 \tabularnewline
0.57 & 107.738555317553 & 0.896200869724005 \tabularnewline
0.58 & 107.905543556318 & 0.866033485310966 \tabularnewline
0.59 & 108.067359319457 & 0.837119545216553 \tabularnewline
0.6 & 108.224385840471 & 0.809322464359135 \tabularnewline
0.61 & 108.377085311273 & 0.783134983588962 \tabularnewline
0.62 & 108.526081529533 & 0.759549209726535 \tabularnewline
0.63 & 108.672231644608 & 0.740404696795084 \tabularnewline
0.64 & 108.816673221824 & 0.727265044285588 \tabularnewline
0.65 & 108.960839164453 & 0.721762739975408 \tabularnewline
0.66 & 109.106440267136 & 0.725520183697452 \tabularnewline
0.67 & 109.255421296483 & 0.73927299316696 \tabularnewline
0.68 & 109.409899874093 & 0.763379299468502 \tabularnewline
0.69 & 109.572097352282 & 0.797773052020538 \tabularnewline
0.7 & 109.744267686443 & 0.842183300722865 \tabularnewline
0.71 & 109.928625227819 & 0.895793431097903 \tabularnewline
0.72 & 110.127266925725 & 0.957387318959347 \tabularnewline
0.73 & 110.342080038333 & 1.02550216702397 \tabularnewline
0.74 & 110.574624240231 & 1.09823989920928 \tabularnewline
0.75 & 110.825978125812 & 1.17300408012024 \tabularnewline
0.76 & 111.096546033912 & 1.24643465913307 \tabularnewline
0.77 & 111.385833514401 & 1.31415969968384 \tabularnewline
0.78 & 111.692219238913 & 1.37110273841693 \tabularnewline
0.79 & 112.012775283507 & 1.41158691527568 \tabularnewline
0.8 & 112.343209242647 & 1.42969231286475 \tabularnewline
0.81 & 112.678008829011 & 1.42039652554406 \tabularnewline
0.82 & 113.010849893172 & 1.38084609311868 \tabularnewline
0.83 & 113.335275451396 & 1.31161711413205 \tabularnewline
0.84 & 113.64557251782 & 1.21722271611414 \tabularnewline
0.85 & 113.93768748755 & 1.10639539392686 \tabularnewline
0.86 & 114.209963785152 & 0.990645240094824 \tabularnewline
0.87 & 114.463493820114 & 0.882695713425709 \tabularnewline
0.88 & 114.70197928209 & 0.793334156754868 \tabularnewline
0.89 & 114.931207282376 & 0.729300445239814 \tabularnewline
0.9 & 115.158587399656 & 0.691348772826162 \tabularnewline
0.91 & 115.393652669991 & 0.676729609305812 \tabularnewline
0.92 & 115.650895292203 & 0.686182324571146 \tabularnewline
0.93 & 115.956328246944 & 0.737775417508022 \tabularnewline
0.94 & 116.357656584378 & 0.883052879922825 \tabularnewline
0.95 & 116.933442470027 & 1.19725237210291 \tabularnewline
0.96 & 117.788661355719 & 1.7076064609723 \tabularnewline
0.97 & 119.014682607531 & 2.30012837146072 \tabularnewline
0.98 & 120.588207771391 & 2.7188890895115 \tabularnewline
0.99 & 122.217304362338 & 2.80799943033644 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]90.1052778278955[/C][C]2.34850935262246[/C][/ROW]
[ROW][C]0.02[/C][C]91.4749019098991[/C][C]2.27968268650588[/C][/ROW]
[ROW][C]0.03[/C][C]92.8356460027537[/C][C]2.05706153663601[/C][/ROW]
[ROW][C]0.04[/C][C]93.9680079886065[/C][C]1.74733140769834[/C][/ROW]
[ROW][C]0.05[/C][C]94.8504165463219[/C][C]1.47762103180794[/C][/ROW]
[ROW][C]0.06[/C][C]95.5351444843396[/C][C]1.28784183817446[/C][/ROW]
[ROW][C]0.07[/C][C]96.0808672152363[/C][C]1.15563689425356[/C][/ROW]
[ROW][C]0.08[/C][C]96.5325352467318[/C][C]1.06200259088877[/C][/ROW]
[ROW][C]0.09[/C][C]96.9217912307898[/C][C]1.00778153934136[/C][/ROW]
[ROW][C]0.1[/C][C]97.2717716277912[/C][C]0.998950014426361[/C][/ROW]
[ROW][C]0.11[/C][C]97.599980547214[/C][C]1.03024019429956[/C][/ROW]
[ROW][C]0.12[/C][C]97.9186950719001[/C][C]1.0834367102322[/C][/ROW]
[ROW][C]0.13[/C][C]98.2345251443754[/C][C]1.13482777919793[/C][/ROW]
[ROW][C]0.14[/C][C]98.5485998977004[/C][C]1.1650067546224[/C][/ROW]
[ROW][C]0.15[/C][C]98.8578636819325[/C][C]1.16394025640713[/C][/ROW]
[ROW][C]0.16[/C][C]99.1571203214591[/C][C]1.1312615978413[/C][/ROW]
[ROW][C]0.17[/C][C]99.4411190863904[/C][C]1.07454817072609[/C][/ROW]
[ROW][C]0.18[/C][C]99.7060780109284[/C][C]1.00485449802278[/C][/ROW]
[ROW][C]0.19[/C][C]99.9503718380613[/C][C]0.933699192345262[/C][/ROW]
[ROW][C]0.2[/C][C]100.174453792069[/C][C]0.869443842660186[/C][/ROW]
[ROW][C]0.21[/C][C]100.380295238945[/C][C]0.81640879275105[/C][/ROW]
[ROW][C]0.22[/C][C]100.570678183622[/C][C]0.775460647715854[/C][/ROW]
[ROW][C]0.23[/C][C]100.748600444674[/C][C]0.745373723541628[/C][/ROW]
[ROW][C]0.24[/C][C]100.916921723064[/C][C]0.724563329062687[/C][/ROW]
[ROW][C]0.25[/C][C]101.07825388666[/C][C]0.71219955915821[/C][/ROW]
[ROW][C]0.26[/C][C]101.235017767155[/C][C]0.708544029113861[/C][/ROW]
[ROW][C]0.27[/C][C]101.389560647321[/C][C]0.71479895818997[/C][/ROW]
[ROW][C]0.28[/C][C]101.544243003334[/C][C]0.732551581869025[/C][/ROW]
[ROW][C]0.29[/C][C]101.701441331579[/C][C]0.762621621769303[/C][/ROW]
[ROW][C]0.3[/C][C]101.86345776824[/C][C]0.804669426832359[/C][/ROW]
[ROW][C]0.31[/C][C]102.032363258772[/C][C]0.856741520107417[/C][/ROW]
[ROW][C]0.32[/C][C]102.209821795368[/C][C]0.9158594907716[/C][/ROW]
[ROW][C]0.33[/C][C]102.396946666693[/C][C]0.978033131560198[/C][/ROW]
[ROW][C]0.34[/C][C]102.594227956442[/C][C]1.03977353175134[/C][/ROW]
[ROW][C]0.35[/C][C]102.80154886954[/C][C]1.09768254057878[/C][/ROW]
[ROW][C]0.36[/C][C]103.018283674238[/C][C]1.14967082313432[/C][/ROW]
[ROW][C]0.37[/C][C]103.243449067756[/C][C]1.19468075705913[/C][/ROW]
[ROW][C]0.38[/C][C]103.475869090825[/C][C]1.23275263568967[/C][/ROW]
[ROW][C]0.39[/C][C]103.714314026504[/C][C]1.2643651923769[/C][/ROW]
[ROW][C]0.4[/C][C]103.9575852336[/C][C]1.29043340792993[/C][/ROW]
[ROW][C]0.41[/C][C]104.204536589035[/C][C]1.31124986197246[/C][/ROW]
[ROW][C]0.42[/C][C]104.454043187963[/C][C]1.32673301987054[/C][/ROW]
[ROW][C]0.43[/C][C]104.704943123973[/C][C]1.33608667329048[/C][/ROW]
[ROW][C]0.44[/C][C]104.955984284178[/C][C]1.33817595501103[/C][/ROW]
[ROW][C]0.45[/C][C]105.205803930084[/C][C]1.33166526104161[/C][/ROW]
[ROW][C]0.46[/C][C]105.452956425165[/C][C]1.3159733405486[/C][/ROW]
[ROW][C]0.47[/C][C]105.69598821104[/C][C]1.29110008260995[/C][/ROW]
[ROW][C]0.48[/C][C]105.933544202753[/C][C]1.25810232792286[/C][/ROW]
[ROW][C]0.49[/C][C]106.164480436882[/C][C]1.21827545686791[/C][/ROW]
[ROW][C]0.5[/C][C]106.387956218339[/C][C]1.17438633817817[/C][/ROW]
[ROW][C]0.51[/C][C]106.603484844285[/C][C]1.12856067748645[/C][/ROW]
[ROW][C]0.52[/C][C]106.810932884652[/C][C]1.08298052977569[/C][/ROW]
[ROW][C]0.53[/C][C]107.010470587915[/C][C]1.03959037699893[/C][/ROW]
[ROW][C]0.54[/C][C]107.202486949715[/C][C]0.99917823592595[/C][/ROW]
[ROW][C]0.55[/C][C]107.387489932559[/C][C]0.962114307331961[/C][/ROW]
[ROW][C]0.56[/C][C]107.566014161455[/C][C]0.92803866033355[/C][/ROW]
[ROW][C]0.57[/C][C]107.738555317553[/C][C]0.896200869724005[/C][/ROW]
[ROW][C]0.58[/C][C]107.905543556318[/C][C]0.866033485310966[/C][/ROW]
[ROW][C]0.59[/C][C]108.067359319457[/C][C]0.837119545216553[/C][/ROW]
[ROW][C]0.6[/C][C]108.224385840471[/C][C]0.809322464359135[/C][/ROW]
[ROW][C]0.61[/C][C]108.377085311273[/C][C]0.783134983588962[/C][/ROW]
[ROW][C]0.62[/C][C]108.526081529533[/C][C]0.759549209726535[/C][/ROW]
[ROW][C]0.63[/C][C]108.672231644608[/C][C]0.740404696795084[/C][/ROW]
[ROW][C]0.64[/C][C]108.816673221824[/C][C]0.727265044285588[/C][/ROW]
[ROW][C]0.65[/C][C]108.960839164453[/C][C]0.721762739975408[/C][/ROW]
[ROW][C]0.66[/C][C]109.106440267136[/C][C]0.725520183697452[/C][/ROW]
[ROW][C]0.67[/C][C]109.255421296483[/C][C]0.73927299316696[/C][/ROW]
[ROW][C]0.68[/C][C]109.409899874093[/C][C]0.763379299468502[/C][/ROW]
[ROW][C]0.69[/C][C]109.572097352282[/C][C]0.797773052020538[/C][/ROW]
[ROW][C]0.7[/C][C]109.744267686443[/C][C]0.842183300722865[/C][/ROW]
[ROW][C]0.71[/C][C]109.928625227819[/C][C]0.895793431097903[/C][/ROW]
[ROW][C]0.72[/C][C]110.127266925725[/C][C]0.957387318959347[/C][/ROW]
[ROW][C]0.73[/C][C]110.342080038333[/C][C]1.02550216702397[/C][/ROW]
[ROW][C]0.74[/C][C]110.574624240231[/C][C]1.09823989920928[/C][/ROW]
[ROW][C]0.75[/C][C]110.825978125812[/C][C]1.17300408012024[/C][/ROW]
[ROW][C]0.76[/C][C]111.096546033912[/C][C]1.24643465913307[/C][/ROW]
[ROW][C]0.77[/C][C]111.385833514401[/C][C]1.31415969968384[/C][/ROW]
[ROW][C]0.78[/C][C]111.692219238913[/C][C]1.37110273841693[/C][/ROW]
[ROW][C]0.79[/C][C]112.012775283507[/C][C]1.41158691527568[/C][/ROW]
[ROW][C]0.8[/C][C]112.343209242647[/C][C]1.42969231286475[/C][/ROW]
[ROW][C]0.81[/C][C]112.678008829011[/C][C]1.42039652554406[/C][/ROW]
[ROW][C]0.82[/C][C]113.010849893172[/C][C]1.38084609311868[/C][/ROW]
[ROW][C]0.83[/C][C]113.335275451396[/C][C]1.31161711413205[/C][/ROW]
[ROW][C]0.84[/C][C]113.64557251782[/C][C]1.21722271611414[/C][/ROW]
[ROW][C]0.85[/C][C]113.93768748755[/C][C]1.10639539392686[/C][/ROW]
[ROW][C]0.86[/C][C]114.209963785152[/C][C]0.990645240094824[/C][/ROW]
[ROW][C]0.87[/C][C]114.463493820114[/C][C]0.882695713425709[/C][/ROW]
[ROW][C]0.88[/C][C]114.70197928209[/C][C]0.793334156754868[/C][/ROW]
[ROW][C]0.89[/C][C]114.931207282376[/C][C]0.729300445239814[/C][/ROW]
[ROW][C]0.9[/C][C]115.158587399656[/C][C]0.691348772826162[/C][/ROW]
[ROW][C]0.91[/C][C]115.393652669991[/C][C]0.676729609305812[/C][/ROW]
[ROW][C]0.92[/C][C]115.650895292203[/C][C]0.686182324571146[/C][/ROW]
[ROW][C]0.93[/C][C]115.956328246944[/C][C]0.737775417508022[/C][/ROW]
[ROW][C]0.94[/C][C]116.357656584378[/C][C]0.883052879922825[/C][/ROW]
[ROW][C]0.95[/C][C]116.933442470027[/C][C]1.19725237210291[/C][/ROW]
[ROW][C]0.96[/C][C]117.788661355719[/C][C]1.7076064609723[/C][/ROW]
[ROW][C]0.97[/C][C]119.014682607531[/C][C]2.30012837146072[/C][/ROW]
[ROW][C]0.98[/C][C]120.588207771391[/C][C]2.7188890895115[/C][/ROW]
[ROW][C]0.99[/C][C]122.217304362338[/C][C]2.80799943033644[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0190.10527782789552.34850935262246
0.0291.47490190989912.27968268650588
0.0392.83564600275372.05706153663601
0.0493.96800798860651.74733140769834
0.0594.85041654632191.47762103180794
0.0695.53514448433961.28784183817446
0.0796.08086721523631.15563689425356
0.0896.53253524673181.06200259088877
0.0996.92179123078981.00778153934136
0.197.27177162779120.998950014426361
0.1197.5999805472141.03024019429956
0.1297.91869507190011.0834367102322
0.1398.23452514437541.13482777919793
0.1498.54859989770041.1650067546224
0.1598.85786368193251.16394025640713
0.1699.15712032145911.1312615978413
0.1799.44111908639041.07454817072609
0.1899.70607801092841.00485449802278
0.1999.95037183806130.933699192345262
0.2100.1744537920690.869443842660186
0.21100.3802952389450.81640879275105
0.22100.5706781836220.775460647715854
0.23100.7486004446740.745373723541628
0.24100.9169217230640.724563329062687
0.25101.078253886660.71219955915821
0.26101.2350177671550.708544029113861
0.27101.3895606473210.71479895818997
0.28101.5442430033340.732551581869025
0.29101.7014413315790.762621621769303
0.3101.863457768240.804669426832359
0.31102.0323632587720.856741520107417
0.32102.2098217953680.9158594907716
0.33102.3969466666930.978033131560198
0.34102.5942279564421.03977353175134
0.35102.801548869541.09768254057878
0.36103.0182836742381.14967082313432
0.37103.2434490677561.19468075705913
0.38103.4758690908251.23275263568967
0.39103.7143140265041.2643651923769
0.4103.95758523361.29043340792993
0.41104.2045365890351.31124986197246
0.42104.4540431879631.32673301987054
0.43104.7049431239731.33608667329048
0.44104.9559842841781.33817595501103
0.45105.2058039300841.33166526104161
0.46105.4529564251651.3159733405486
0.47105.695988211041.29110008260995
0.48105.9335442027531.25810232792286
0.49106.1644804368821.21827545686791
0.5106.3879562183391.17438633817817
0.51106.6034848442851.12856067748645
0.52106.8109328846521.08298052977569
0.53107.0104705879151.03959037699893
0.54107.2024869497150.99917823592595
0.55107.3874899325590.962114307331961
0.56107.5660141614550.92803866033355
0.57107.7385553175530.896200869724005
0.58107.9055435563180.866033485310966
0.59108.0673593194570.837119545216553
0.6108.2243858404710.809322464359135
0.61108.3770853112730.783134983588962
0.62108.5260815295330.759549209726535
0.63108.6722316446080.740404696795084
0.64108.8166732218240.727265044285588
0.65108.9608391644530.721762739975408
0.66109.1064402671360.725520183697452
0.67109.2554212964830.73927299316696
0.68109.4098998740930.763379299468502
0.69109.5720973522820.797773052020538
0.7109.7442676864430.842183300722865
0.71109.9286252278190.895793431097903
0.72110.1272669257250.957387318959347
0.73110.3420800383331.02550216702397
0.74110.5746242402311.09823989920928
0.75110.8259781258121.17300408012024
0.76111.0965460339121.24643465913307
0.77111.3858335144011.31415969968384
0.78111.6922192389131.37110273841693
0.79112.0127752835071.41158691527568
0.8112.3432092426471.42969231286475
0.81112.6780088290111.42039652554406
0.82113.0108498931721.38084609311868
0.83113.3352754513961.31161711413205
0.84113.645572517821.21722271611414
0.85113.937687487551.10639539392686
0.86114.2099637851520.990645240094824
0.87114.4634938201140.882695713425709
0.88114.701979282090.793334156754868
0.89114.9312072823760.729300445239814
0.9115.1585873996560.691348772826162
0.91115.3936526699910.676729609305812
0.92115.6508952922030.686182324571146
0.93115.9563282469440.737775417508022
0.94116.3576565843780.883052879922825
0.95116.9334424700271.19725237210291
0.96117.7886613557191.7076064609723
0.97119.0146826075312.30012837146072
0.98120.5882077713912.7188890895115
0.99122.2173043623382.80799943033644


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')