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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 10 Mar 2017 22:20:51 +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/2017/Mar/10/t14891845629x0lnxzamch96lf.htm/, Retrieved Wed, 15 May 2024 02:30:44 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 15 May 2024 02:30:44 +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 
88.05
93.25
92.96
93.08
90.67
92.17
94.28
95.01
93.27
95.59
97.4
97.05
97.38
96.23
96.65
96.46
97.87
98.59
99.54
97.39
97.09
97.83
97.58
96.81
97.52
98.19
96.18
97.41
99.23
96.93
98.82
102.47
95.95
101.17
100.55
99.5
99.89
100.43
100.63
99.36
100
99.55
100.12
101.31
96.59
98.79
100.93
102.4
106.99
105.27
107.27
109.21
108.57
110.17
108.1
107.58
106.91
103
106.12
109.69

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'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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.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]'George Udny Yule' @ yule.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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0188.67357542253422.31979833620949
0.0289.58539114189211.97132481783403
0.0390.516054923061.63284382457581
0.0491.31154704819361.33608623969468
0.0591.93489704941191.08925715550725
0.0692.41062421832960.907592068336414
0.0792.78132756839070.80734012610733
0.0893.08736243538530.790480671368584
0.0993.36019536999050.837191420795973
0.193.62120475441670.916179880869723
0.1193.88240114492180.998350838903289
0.1294.14803705245851.06276738319308
0.1394.4167261521361.09683231006232
0.1494.68371587795191.09653091542184
0.1594.94295606677461.06389897481387
0.1695.18870120172241.00545326565714
0.1795.41652975047110.929727368365086
0.1895.62380110774970.845674464579235
0.1995.80966403563060.761079592585397
0.295.97477137602740.681892721421347
0.2196.12085256074170.611810772631957
0.2296.25026443712920.552757330071998
0.2396.36559907257780.504908984839938
0.2496.46938737288440.467388252150696
0.2596.56390677592060.438445553436255
0.2696.65108211791170.416441886469242
0.2796.73245974827860.399429740845328
0.2896.80923319191620.38610928628911
0.2996.88230098894190.375070419026027
0.396.95234123581990.365795925887828
0.3197.01989117697370.357962037517175
0.3297.08542320736170.351611765747016
0.3397.14941076445090.347059167479946
0.3497.21237911217410.345406580353594
0.3597.274937362940.347270551064927
0.3697.33778957802890.353637795289179
0.3797.40172457653220.365132760720844
0.3897.46758610736130.382220566991224
0.3997.53622707759330.404818413819304
0.497.60845328717310.432142149188078
0.4197.68496331203270.463425694143289
0.4297.76629160821210.497235707755104
0.4397.85276150862740.531944254360656
0.4497.94445361494610.565996176761754
0.4598.04119332333030.597653531874426
0.4698.14255910849420.625537918981876
0.4798.24791099349070.648142909912426
0.4898.35643660342460.664960130646044
0.4998.46721054302230.67520092241905
0.598.57926169046270.678969454725561
0.5198.69164243708840.676629960222504
0.5298.8034939401260.668901915230819
0.5398.91410206281370.656936151448242
0.5499.0229397882430.642075315811869
0.5599.12969341685110.625683945338966
0.5699.23427167219910.609239862585716
0.5799.33679879297060.594072685999127
0.5899.4375945937620.581293248319435
0.5999.53714611661890.572046693291041
0.699.63607664274350.566666058956918
0.6199.73511828677770.565700704866387
0.6299.83509401916860.569371101904459
0.6399.93691372736810.57785046047471
0.64100.0415869353950.591297671960152
0.65100.1502522748040.610343657993008
0.66100.2642210327170.635768205896794
0.67100.385029385690.668818142457469
0.68100.5144914677190.710898874575577
0.69100.654743285120.763829355004359
0.7100.8082656305270.829233357117224
0.71100.9778725147690.908706075599161
0.72101.1666503967411.0032173656827
0.73101.3778332786081.11309728074543
0.74101.6146007942361.23732926660629
0.75101.8797925112691.37346234426495
0.76102.1755435517021.51703983147524
0.77102.5028651380241.66149828007503
0.78102.8612175151311.79818592862862
0.79103.2481475516851.91675466158972
0.8103.6590816916612.00619223986498
0.81104.0873674298482.05619709801227
0.82104.5246347093312.05898918666574
0.83104.9614989982982.01073681253688
0.84105.3885551171711.91339125835659
0.85105.7975298884081.77463780195916
0.86106.1823949007931.60765752828461
0.87106.5402122447411.42932126832336
0.88106.8715127792691.25760542824634
0.89107.1800894261151.10857704227563
0.9107.4722092068970.993111231206255
0.91107.7553757367980.914082859890083
0.92108.0368775071430.865647289835474
0.93108.3224182571420.835280126542695
0.94108.6151263201250.807791589888543
0.95108.9151021960170.768875946681907
0.96109.2191892686760.708816342709682
0.97109.5197237091280.627703122621665
0.98109.8004970521920.542685839121024
0.99110.031073232230.486435884669271

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 88.6735754225342 & 2.31979833620949 \tabularnewline
0.02 & 89.5853911418921 & 1.97132481783403 \tabularnewline
0.03 & 90.51605492306 & 1.63284382457581 \tabularnewline
0.04 & 91.3115470481936 & 1.33608623969468 \tabularnewline
0.05 & 91.9348970494119 & 1.08925715550725 \tabularnewline
0.06 & 92.4106242183296 & 0.907592068336414 \tabularnewline
0.07 & 92.7813275683907 & 0.80734012610733 \tabularnewline
0.08 & 93.0873624353853 & 0.790480671368584 \tabularnewline
0.09 & 93.3601953699905 & 0.837191420795973 \tabularnewline
0.1 & 93.6212047544167 & 0.916179880869723 \tabularnewline
0.11 & 93.8824011449218 & 0.998350838903289 \tabularnewline
0.12 & 94.1480370524585 & 1.06276738319308 \tabularnewline
0.13 & 94.416726152136 & 1.09683231006232 \tabularnewline
0.14 & 94.6837158779519 & 1.09653091542184 \tabularnewline
0.15 & 94.9429560667746 & 1.06389897481387 \tabularnewline
0.16 & 95.1887012017224 & 1.00545326565714 \tabularnewline
0.17 & 95.4165297504711 & 0.929727368365086 \tabularnewline
0.18 & 95.6238011077497 & 0.845674464579235 \tabularnewline
0.19 & 95.8096640356306 & 0.761079592585397 \tabularnewline
0.2 & 95.9747713760274 & 0.681892721421347 \tabularnewline
0.21 & 96.1208525607417 & 0.611810772631957 \tabularnewline
0.22 & 96.2502644371292 & 0.552757330071998 \tabularnewline
0.23 & 96.3655990725778 & 0.504908984839938 \tabularnewline
0.24 & 96.4693873728844 & 0.467388252150696 \tabularnewline
0.25 & 96.5639067759206 & 0.438445553436255 \tabularnewline
0.26 & 96.6510821179117 & 0.416441886469242 \tabularnewline
0.27 & 96.7324597482786 & 0.399429740845328 \tabularnewline
0.28 & 96.8092331919162 & 0.38610928628911 \tabularnewline
0.29 & 96.8823009889419 & 0.375070419026027 \tabularnewline
0.3 & 96.9523412358199 & 0.365795925887828 \tabularnewline
0.31 & 97.0198911769737 & 0.357962037517175 \tabularnewline
0.32 & 97.0854232073617 & 0.351611765747016 \tabularnewline
0.33 & 97.1494107644509 & 0.347059167479946 \tabularnewline
0.34 & 97.2123791121741 & 0.345406580353594 \tabularnewline
0.35 & 97.27493736294 & 0.347270551064927 \tabularnewline
0.36 & 97.3377895780289 & 0.353637795289179 \tabularnewline
0.37 & 97.4017245765322 & 0.365132760720844 \tabularnewline
0.38 & 97.4675861073613 & 0.382220566991224 \tabularnewline
0.39 & 97.5362270775933 & 0.404818413819304 \tabularnewline
0.4 & 97.6084532871731 & 0.432142149188078 \tabularnewline
0.41 & 97.6849633120327 & 0.463425694143289 \tabularnewline
0.42 & 97.7662916082121 & 0.497235707755104 \tabularnewline
0.43 & 97.8527615086274 & 0.531944254360656 \tabularnewline
0.44 & 97.9444536149461 & 0.565996176761754 \tabularnewline
0.45 & 98.0411933233303 & 0.597653531874426 \tabularnewline
0.46 & 98.1425591084942 & 0.625537918981876 \tabularnewline
0.47 & 98.2479109934907 & 0.648142909912426 \tabularnewline
0.48 & 98.3564366034246 & 0.664960130646044 \tabularnewline
0.49 & 98.4672105430223 & 0.67520092241905 \tabularnewline
0.5 & 98.5792616904627 & 0.678969454725561 \tabularnewline
0.51 & 98.6916424370884 & 0.676629960222504 \tabularnewline
0.52 & 98.803493940126 & 0.668901915230819 \tabularnewline
0.53 & 98.9141020628137 & 0.656936151448242 \tabularnewline
0.54 & 99.022939788243 & 0.642075315811869 \tabularnewline
0.55 & 99.1296934168511 & 0.625683945338966 \tabularnewline
0.56 & 99.2342716721991 & 0.609239862585716 \tabularnewline
0.57 & 99.3367987929706 & 0.594072685999127 \tabularnewline
0.58 & 99.437594593762 & 0.581293248319435 \tabularnewline
0.59 & 99.5371461166189 & 0.572046693291041 \tabularnewline
0.6 & 99.6360766427435 & 0.566666058956918 \tabularnewline
0.61 & 99.7351182867777 & 0.565700704866387 \tabularnewline
0.62 & 99.8350940191686 & 0.569371101904459 \tabularnewline
0.63 & 99.9369137273681 & 0.57785046047471 \tabularnewline
0.64 & 100.041586935395 & 0.591297671960152 \tabularnewline
0.65 & 100.150252274804 & 0.610343657993008 \tabularnewline
0.66 & 100.264221032717 & 0.635768205896794 \tabularnewline
0.67 & 100.38502938569 & 0.668818142457469 \tabularnewline
0.68 & 100.514491467719 & 0.710898874575577 \tabularnewline
0.69 & 100.65474328512 & 0.763829355004359 \tabularnewline
0.7 & 100.808265630527 & 0.829233357117224 \tabularnewline
0.71 & 100.977872514769 & 0.908706075599161 \tabularnewline
0.72 & 101.166650396741 & 1.0032173656827 \tabularnewline
0.73 & 101.377833278608 & 1.11309728074543 \tabularnewline
0.74 & 101.614600794236 & 1.23732926660629 \tabularnewline
0.75 & 101.879792511269 & 1.37346234426495 \tabularnewline
0.76 & 102.175543551702 & 1.51703983147524 \tabularnewline
0.77 & 102.502865138024 & 1.66149828007503 \tabularnewline
0.78 & 102.861217515131 & 1.79818592862862 \tabularnewline
0.79 & 103.248147551685 & 1.91675466158972 \tabularnewline
0.8 & 103.659081691661 & 2.00619223986498 \tabularnewline
0.81 & 104.087367429848 & 2.05619709801227 \tabularnewline
0.82 & 104.524634709331 & 2.05898918666574 \tabularnewline
0.83 & 104.961498998298 & 2.01073681253688 \tabularnewline
0.84 & 105.388555117171 & 1.91339125835659 \tabularnewline
0.85 & 105.797529888408 & 1.77463780195916 \tabularnewline
0.86 & 106.182394900793 & 1.60765752828461 \tabularnewline
0.87 & 106.540212244741 & 1.42932126832336 \tabularnewline
0.88 & 106.871512779269 & 1.25760542824634 \tabularnewline
0.89 & 107.180089426115 & 1.10857704227563 \tabularnewline
0.9 & 107.472209206897 & 0.993111231206255 \tabularnewline
0.91 & 107.755375736798 & 0.914082859890083 \tabularnewline
0.92 & 108.036877507143 & 0.865647289835474 \tabularnewline
0.93 & 108.322418257142 & 0.835280126542695 \tabularnewline
0.94 & 108.615126320125 & 0.807791589888543 \tabularnewline
0.95 & 108.915102196017 & 0.768875946681907 \tabularnewline
0.96 & 109.219189268676 & 0.708816342709682 \tabularnewline
0.97 & 109.519723709128 & 0.627703122621665 \tabularnewline
0.98 & 109.800497052192 & 0.542685839121024 \tabularnewline
0.99 & 110.03107323223 & 0.486435884669271 \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]88.6735754225342[/C][C]2.31979833620949[/C][/ROW]
[ROW][C]0.02[/C][C]89.5853911418921[/C][C]1.97132481783403[/C][/ROW]
[ROW][C]0.03[/C][C]90.51605492306[/C][C]1.63284382457581[/C][/ROW]
[ROW][C]0.04[/C][C]91.3115470481936[/C][C]1.33608623969468[/C][/ROW]
[ROW][C]0.05[/C][C]91.9348970494119[/C][C]1.08925715550725[/C][/ROW]
[ROW][C]0.06[/C][C]92.4106242183296[/C][C]0.907592068336414[/C][/ROW]
[ROW][C]0.07[/C][C]92.7813275683907[/C][C]0.80734012610733[/C][/ROW]
[ROW][C]0.08[/C][C]93.0873624353853[/C][C]0.790480671368584[/C][/ROW]
[ROW][C]0.09[/C][C]93.3601953699905[/C][C]0.837191420795973[/C][/ROW]
[ROW][C]0.1[/C][C]93.6212047544167[/C][C]0.916179880869723[/C][/ROW]
[ROW][C]0.11[/C][C]93.8824011449218[/C][C]0.998350838903289[/C][/ROW]
[ROW][C]0.12[/C][C]94.1480370524585[/C][C]1.06276738319308[/C][/ROW]
[ROW][C]0.13[/C][C]94.416726152136[/C][C]1.09683231006232[/C][/ROW]
[ROW][C]0.14[/C][C]94.6837158779519[/C][C]1.09653091542184[/C][/ROW]
[ROW][C]0.15[/C][C]94.9429560667746[/C][C]1.06389897481387[/C][/ROW]
[ROW][C]0.16[/C][C]95.1887012017224[/C][C]1.00545326565714[/C][/ROW]
[ROW][C]0.17[/C][C]95.4165297504711[/C][C]0.929727368365086[/C][/ROW]
[ROW][C]0.18[/C][C]95.6238011077497[/C][C]0.845674464579235[/C][/ROW]
[ROW][C]0.19[/C][C]95.8096640356306[/C][C]0.761079592585397[/C][/ROW]
[ROW][C]0.2[/C][C]95.9747713760274[/C][C]0.681892721421347[/C][/ROW]
[ROW][C]0.21[/C][C]96.1208525607417[/C][C]0.611810772631957[/C][/ROW]
[ROW][C]0.22[/C][C]96.2502644371292[/C][C]0.552757330071998[/C][/ROW]
[ROW][C]0.23[/C][C]96.3655990725778[/C][C]0.504908984839938[/C][/ROW]
[ROW][C]0.24[/C][C]96.4693873728844[/C][C]0.467388252150696[/C][/ROW]
[ROW][C]0.25[/C][C]96.5639067759206[/C][C]0.438445553436255[/C][/ROW]
[ROW][C]0.26[/C][C]96.6510821179117[/C][C]0.416441886469242[/C][/ROW]
[ROW][C]0.27[/C][C]96.7324597482786[/C][C]0.399429740845328[/C][/ROW]
[ROW][C]0.28[/C][C]96.8092331919162[/C][C]0.38610928628911[/C][/ROW]
[ROW][C]0.29[/C][C]96.8823009889419[/C][C]0.375070419026027[/C][/ROW]
[ROW][C]0.3[/C][C]96.9523412358199[/C][C]0.365795925887828[/C][/ROW]
[ROW][C]0.31[/C][C]97.0198911769737[/C][C]0.357962037517175[/C][/ROW]
[ROW][C]0.32[/C][C]97.0854232073617[/C][C]0.351611765747016[/C][/ROW]
[ROW][C]0.33[/C][C]97.1494107644509[/C][C]0.347059167479946[/C][/ROW]
[ROW][C]0.34[/C][C]97.2123791121741[/C][C]0.345406580353594[/C][/ROW]
[ROW][C]0.35[/C][C]97.27493736294[/C][C]0.347270551064927[/C][/ROW]
[ROW][C]0.36[/C][C]97.3377895780289[/C][C]0.353637795289179[/C][/ROW]
[ROW][C]0.37[/C][C]97.4017245765322[/C][C]0.365132760720844[/C][/ROW]
[ROW][C]0.38[/C][C]97.4675861073613[/C][C]0.382220566991224[/C][/ROW]
[ROW][C]0.39[/C][C]97.5362270775933[/C][C]0.404818413819304[/C][/ROW]
[ROW][C]0.4[/C][C]97.6084532871731[/C][C]0.432142149188078[/C][/ROW]
[ROW][C]0.41[/C][C]97.6849633120327[/C][C]0.463425694143289[/C][/ROW]
[ROW][C]0.42[/C][C]97.7662916082121[/C][C]0.497235707755104[/C][/ROW]
[ROW][C]0.43[/C][C]97.8527615086274[/C][C]0.531944254360656[/C][/ROW]
[ROW][C]0.44[/C][C]97.9444536149461[/C][C]0.565996176761754[/C][/ROW]
[ROW][C]0.45[/C][C]98.0411933233303[/C][C]0.597653531874426[/C][/ROW]
[ROW][C]0.46[/C][C]98.1425591084942[/C][C]0.625537918981876[/C][/ROW]
[ROW][C]0.47[/C][C]98.2479109934907[/C][C]0.648142909912426[/C][/ROW]
[ROW][C]0.48[/C][C]98.3564366034246[/C][C]0.664960130646044[/C][/ROW]
[ROW][C]0.49[/C][C]98.4672105430223[/C][C]0.67520092241905[/C][/ROW]
[ROW][C]0.5[/C][C]98.5792616904627[/C][C]0.678969454725561[/C][/ROW]
[ROW][C]0.51[/C][C]98.6916424370884[/C][C]0.676629960222504[/C][/ROW]
[ROW][C]0.52[/C][C]98.803493940126[/C][C]0.668901915230819[/C][/ROW]
[ROW][C]0.53[/C][C]98.9141020628137[/C][C]0.656936151448242[/C][/ROW]
[ROW][C]0.54[/C][C]99.022939788243[/C][C]0.642075315811869[/C][/ROW]
[ROW][C]0.55[/C][C]99.1296934168511[/C][C]0.625683945338966[/C][/ROW]
[ROW][C]0.56[/C][C]99.2342716721991[/C][C]0.609239862585716[/C][/ROW]
[ROW][C]0.57[/C][C]99.3367987929706[/C][C]0.594072685999127[/C][/ROW]
[ROW][C]0.58[/C][C]99.437594593762[/C][C]0.581293248319435[/C][/ROW]
[ROW][C]0.59[/C][C]99.5371461166189[/C][C]0.572046693291041[/C][/ROW]
[ROW][C]0.6[/C][C]99.6360766427435[/C][C]0.566666058956918[/C][/ROW]
[ROW][C]0.61[/C][C]99.7351182867777[/C][C]0.565700704866387[/C][/ROW]
[ROW][C]0.62[/C][C]99.8350940191686[/C][C]0.569371101904459[/C][/ROW]
[ROW][C]0.63[/C][C]99.9369137273681[/C][C]0.57785046047471[/C][/ROW]
[ROW][C]0.64[/C][C]100.041586935395[/C][C]0.591297671960152[/C][/ROW]
[ROW][C]0.65[/C][C]100.150252274804[/C][C]0.610343657993008[/C][/ROW]
[ROW][C]0.66[/C][C]100.264221032717[/C][C]0.635768205896794[/C][/ROW]
[ROW][C]0.67[/C][C]100.38502938569[/C][C]0.668818142457469[/C][/ROW]
[ROW][C]0.68[/C][C]100.514491467719[/C][C]0.710898874575577[/C][/ROW]
[ROW][C]0.69[/C][C]100.65474328512[/C][C]0.763829355004359[/C][/ROW]
[ROW][C]0.7[/C][C]100.808265630527[/C][C]0.829233357117224[/C][/ROW]
[ROW][C]0.71[/C][C]100.977872514769[/C][C]0.908706075599161[/C][/ROW]
[ROW][C]0.72[/C][C]101.166650396741[/C][C]1.0032173656827[/C][/ROW]
[ROW][C]0.73[/C][C]101.377833278608[/C][C]1.11309728074543[/C][/ROW]
[ROW][C]0.74[/C][C]101.614600794236[/C][C]1.23732926660629[/C][/ROW]
[ROW][C]0.75[/C][C]101.879792511269[/C][C]1.37346234426495[/C][/ROW]
[ROW][C]0.76[/C][C]102.175543551702[/C][C]1.51703983147524[/C][/ROW]
[ROW][C]0.77[/C][C]102.502865138024[/C][C]1.66149828007503[/C][/ROW]
[ROW][C]0.78[/C][C]102.861217515131[/C][C]1.79818592862862[/C][/ROW]
[ROW][C]0.79[/C][C]103.248147551685[/C][C]1.91675466158972[/C][/ROW]
[ROW][C]0.8[/C][C]103.659081691661[/C][C]2.00619223986498[/C][/ROW]
[ROW][C]0.81[/C][C]104.087367429848[/C][C]2.05619709801227[/C][/ROW]
[ROW][C]0.82[/C][C]104.524634709331[/C][C]2.05898918666574[/C][/ROW]
[ROW][C]0.83[/C][C]104.961498998298[/C][C]2.01073681253688[/C][/ROW]
[ROW][C]0.84[/C][C]105.388555117171[/C][C]1.91339125835659[/C][/ROW]
[ROW][C]0.85[/C][C]105.797529888408[/C][C]1.77463780195916[/C][/ROW]
[ROW][C]0.86[/C][C]106.182394900793[/C][C]1.60765752828461[/C][/ROW]
[ROW][C]0.87[/C][C]106.540212244741[/C][C]1.42932126832336[/C][/ROW]
[ROW][C]0.88[/C][C]106.871512779269[/C][C]1.25760542824634[/C][/ROW]
[ROW][C]0.89[/C][C]107.180089426115[/C][C]1.10857704227563[/C][/ROW]
[ROW][C]0.9[/C][C]107.472209206897[/C][C]0.993111231206255[/C][/ROW]
[ROW][C]0.91[/C][C]107.755375736798[/C][C]0.914082859890083[/C][/ROW]
[ROW][C]0.92[/C][C]108.036877507143[/C][C]0.865647289835474[/C][/ROW]
[ROW][C]0.93[/C][C]108.322418257142[/C][C]0.835280126542695[/C][/ROW]
[ROW][C]0.94[/C][C]108.615126320125[/C][C]0.807791589888543[/C][/ROW]
[ROW][C]0.95[/C][C]108.915102196017[/C][C]0.768875946681907[/C][/ROW]
[ROW][C]0.96[/C][C]109.219189268676[/C][C]0.708816342709682[/C][/ROW]
[ROW][C]0.97[/C][C]109.519723709128[/C][C]0.627703122621665[/C][/ROW]
[ROW][C]0.98[/C][C]109.800497052192[/C][C]0.542685839121024[/C][/ROW]
[ROW][C]0.99[/C][C]110.03107323223[/C][C]0.486435884669271[/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
0.0188.67357542253422.31979833620949
0.0289.58539114189211.97132481783403
0.0390.516054923061.63284382457581
0.0491.31154704819361.33608623969468
0.0591.93489704941191.08925715550725
0.0692.41062421832960.907592068336414
0.0792.78132756839070.80734012610733
0.0893.08736243538530.790480671368584
0.0993.36019536999050.837191420795973
0.193.62120475441670.916179880869723
0.1193.88240114492180.998350838903289
0.1294.14803705245851.06276738319308
0.1394.4167261521361.09683231006232
0.1494.68371587795191.09653091542184
0.1594.94295606677461.06389897481387
0.1695.18870120172241.00545326565714
0.1795.41652975047110.929727368365086
0.1895.62380110774970.845674464579235
0.1995.80966403563060.761079592585397
0.295.97477137602740.681892721421347
0.2196.12085256074170.611810772631957
0.2296.25026443712920.552757330071998
0.2396.36559907257780.504908984839938
0.2496.46938737288440.467388252150696
0.2596.56390677592060.438445553436255
0.2696.65108211791170.416441886469242
0.2796.73245974827860.399429740845328
0.2896.80923319191620.38610928628911
0.2996.88230098894190.375070419026027
0.396.95234123581990.365795925887828
0.3197.01989117697370.357962037517175
0.3297.08542320736170.351611765747016
0.3397.14941076445090.347059167479946
0.3497.21237911217410.345406580353594
0.3597.274937362940.347270551064927
0.3697.33778957802890.353637795289179
0.3797.40172457653220.365132760720844
0.3897.46758610736130.382220566991224
0.3997.53622707759330.404818413819304
0.497.60845328717310.432142149188078
0.4197.68496331203270.463425694143289
0.4297.76629160821210.497235707755104
0.4397.85276150862740.531944254360656
0.4497.94445361494610.565996176761754
0.4598.04119332333030.597653531874426
0.4698.14255910849420.625537918981876
0.4798.24791099349070.648142909912426
0.4898.35643660342460.664960130646044
0.4998.46721054302230.67520092241905
0.598.57926169046270.678969454725561
0.5198.69164243708840.676629960222504
0.5298.8034939401260.668901915230819
0.5398.91410206281370.656936151448242
0.5499.0229397882430.642075315811869
0.5599.12969341685110.625683945338966
0.5699.23427167219910.609239862585716
0.5799.33679879297060.594072685999127
0.5899.4375945937620.581293248319435
0.5999.53714611661890.572046693291041
0.699.63607664274350.566666058956918
0.6199.73511828677770.565700704866387
0.6299.83509401916860.569371101904459
0.6399.93691372736810.57785046047471
0.64100.0415869353950.591297671960152
0.65100.1502522748040.610343657993008
0.66100.2642210327170.635768205896794
0.67100.385029385690.668818142457469
0.68100.5144914677190.710898874575577
0.69100.654743285120.763829355004359
0.7100.8082656305270.829233357117224
0.71100.9778725147690.908706075599161
0.72101.1666503967411.0032173656827
0.73101.3778332786081.11309728074543
0.74101.6146007942361.23732926660629
0.75101.8797925112691.37346234426495
0.76102.1755435517021.51703983147524
0.77102.5028651380241.66149828007503
0.78102.8612175151311.79818592862862
0.79103.2481475516851.91675466158972
0.8103.6590816916612.00619223986498
0.81104.0873674298482.05619709801227
0.82104.5246347093312.05898918666574
0.83104.9614989982982.01073681253688
0.84105.3885551171711.91339125835659
0.85105.7975298884081.77463780195916
0.86106.1823949007931.60765752828461
0.87106.5402122447411.42932126832336
0.88106.8715127792691.25760542824634
0.89107.1800894261151.10857704227563
0.9107.4722092068970.993111231206255
0.91107.7553757367980.914082859890083
0.92108.0368775071430.865647289835474
0.93108.3224182571420.835280126542695
0.94108.6151263201250.807791589888543
0.95108.9151021960170.768875946681907
0.96109.2191892686760.708816342709682
0.97109.5197237091280.627703122621665
0.98109.8004970521920.542685839121024
0.99110.031073232230.486435884669271


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')