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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 03 Mar 2008 12:38:28 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/03/t1204573199ka4jnb2pp08os8j.htm/, Retrieved Sun, 19 May 2024 17:05:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9954, Retrieved Sun, 19 May 2024 17:05:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact195

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] [] [2008-03-03 19:38:28] [8c69c5b6690db7c1e43065ff98235337] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
113
110
107
103
98
98
137
148
147
139
130
128
127
123
118
114
108
111
151
159
158
148
138
137
136
133
126
120
114
116
153
162
161
149
139
135
130
127
122
117
112
113
149
157
157
147
137
132
125
123
117
114
111
112
144
150
149
134
123
116
117
111
105
102
95
93
124
130
124
115
106
105

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9954&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9954&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9954&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0193.77183996479752.13241227624374
0.0295.03325677720962.40529283393232
0.0396.46319260917072.64421254353960
0.0497.88199359861632.84030237647959
0.0599.23314624027982.99474667759235
0.06100.5049374879783.05641168354036
0.07101.6897665288733.00222079327777
0.08102.7792351646922.86850863735183
0.09103.7711799818502.71914561558204
0.1104.6735632141422.60521121065660
0.11105.5019195137122.54468619194745
0.12106.2734312354052.52409939939657
0.13107.0016070299492.51501365594161
0.14107.693727505272.48962198366272
0.15108.3511799562642.43106342310478
0.16108.9716327690022.33584961934272
0.17109.5517427923272.2117725393344
0.18110.089389264762.07347192196367
0.19110.5849280487051.93763553458982
0.2111.0414226706651.81881996773629
0.21111.4641152219391.72587086429466
0.22111.8595219441401.66224445173899
0.23112.2345077432031.62666586532026
0.24112.5955747308011.61550025908422
0.25112.9484590199891.62450202008022
0.26113.2980163859881.65015869254453
0.27113.6483132054301.69028147400176
0.28114.002822327851.74384625572734
0.29114.3646379881011.81043421771016
0.3114.7366504098911.89039682133037
0.31115.1216455885471.98442872796931
0.32115.5223135815382.09256445193283
0.33115.9411612215812.21437083240962
0.34116.3803372117622.34771923523752
0.35116.8413924671912.48889092896211
0.36117.3250158125142.63203477808642
0.37117.8308001653642.76969810824273
0.38118.3571006093192.89359080152763
0.39118.9010379610982.99580016962211
0.4119.4586782302163.07023318925453
0.41120.0253836473443.11348728830749
0.42120.5962930007413.12560800352045
0.43121.1668580249093.11027037740595
0.44121.7333472392153.07434212758540
0.45122.2932333588283.02689625166808
0.46122.8454039626162.9772185775578
0.47123.3901711172842.93466832543541
0.48123.9290946885972.90606411667977
0.49124.464666528142.89557411126854
0.5124.9999215568602.90461203981299
0.51125.5380441450212.93172008287109
0.52126.0820257910592.97389705638165
0.53126.6344081186163.02726655776150
0.54127.1971205449923.08750989584249
0.55127.7714012686993.15049112873692
0.56128.3577782580103.21254272749927
0.57128.9560856903233.27011383749082
0.58129.5654998317543.32003241860548
0.59130.1845931942633.35955084244458
0.6130.8114218763223.38535408347908
0.61131.4436726653763.39538839518281
0.62132.0788987651813.38880002030171
0.63132.7148626419303.36630210606837
0.64133.3499808533203.3313661916919
0.65133.9838315379553.29092249196387
0.66134.6176467195063.25478520337668
0.67135.2546780343823.23565479569572
0.68135.9003070792993.24716483510964
0.69136.5617811036793.30115465340241
0.7137.2474986500323.40468812838148
0.71137.9658485339833.55641672911699
0.72138.723710059493.74455009090031
0.73139.5248326373883.94761939478259
0.74140.3684006342224.13692998981666
0.75141.2481238569884.28123058086983
0.76142.1521526406154.35110305455873
0.77143.0639937750044.32522773694412
0.78143.9644182638024.19387787477538
0.79144.8341453810893.96202121837633
0.8145.6569119552933.64952237615606
0.81146.4224358915043.28894364995136
0.82147.1287770513582.92213633787089
0.83147.7836703947252.59548803163426
0.84148.4045142510512.3547641196366
0.85149.0168027630932.23802693555296
0.86149.6508988508922.26373439626252
0.87150.3372196358932.41954172854144
0.88151.1002611121242.66184120374816
0.89151.9524921079682.92469853188225
0.9152.8898898240993.13242962819793
0.91153.8913707987893.2161555083825
0.92154.9239475113913.13540482033588
0.93155.9535398127442.89768421787037
0.94156.9580557534352.56560514250849
0.95157.9358656483732.23787131236854
0.96158.9014776897151.99180844735433
0.97159.8632557860441.80458174592739
0.98160.7859010117481.55775058427554
0.99161.5556447758911.21782639031435

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 93.7718399647975 & 2.13241227624374 \tabularnewline
0.02 & 95.0332567772096 & 2.40529283393232 \tabularnewline
0.03 & 96.4631926091707 & 2.64421254353960 \tabularnewline
0.04 & 97.8819935986163 & 2.84030237647959 \tabularnewline
0.05 & 99.2331462402798 & 2.99474667759235 \tabularnewline
0.06 & 100.504937487978 & 3.05641168354036 \tabularnewline
0.07 & 101.689766528873 & 3.00222079327777 \tabularnewline
0.08 & 102.779235164692 & 2.86850863735183 \tabularnewline
0.09 & 103.771179981850 & 2.71914561558204 \tabularnewline
0.1 & 104.673563214142 & 2.60521121065660 \tabularnewline
0.11 & 105.501919513712 & 2.54468619194745 \tabularnewline
0.12 & 106.273431235405 & 2.52409939939657 \tabularnewline
0.13 & 107.001607029949 & 2.51501365594161 \tabularnewline
0.14 & 107.69372750527 & 2.48962198366272 \tabularnewline
0.15 & 108.351179956264 & 2.43106342310478 \tabularnewline
0.16 & 108.971632769002 & 2.33584961934272 \tabularnewline
0.17 & 109.551742792327 & 2.2117725393344 \tabularnewline
0.18 & 110.08938926476 & 2.07347192196367 \tabularnewline
0.19 & 110.584928048705 & 1.93763553458982 \tabularnewline
0.2 & 111.041422670665 & 1.81881996773629 \tabularnewline
0.21 & 111.464115221939 & 1.72587086429466 \tabularnewline
0.22 & 111.859521944140 & 1.66224445173899 \tabularnewline
0.23 & 112.234507743203 & 1.62666586532026 \tabularnewline
0.24 & 112.595574730801 & 1.61550025908422 \tabularnewline
0.25 & 112.948459019989 & 1.62450202008022 \tabularnewline
0.26 & 113.298016385988 & 1.65015869254453 \tabularnewline
0.27 & 113.648313205430 & 1.69028147400176 \tabularnewline
0.28 & 114.00282232785 & 1.74384625572734 \tabularnewline
0.29 & 114.364637988101 & 1.81043421771016 \tabularnewline
0.3 & 114.736650409891 & 1.89039682133037 \tabularnewline
0.31 & 115.121645588547 & 1.98442872796931 \tabularnewline
0.32 & 115.522313581538 & 2.09256445193283 \tabularnewline
0.33 & 115.941161221581 & 2.21437083240962 \tabularnewline
0.34 & 116.380337211762 & 2.34771923523752 \tabularnewline
0.35 & 116.841392467191 & 2.48889092896211 \tabularnewline
0.36 & 117.325015812514 & 2.63203477808642 \tabularnewline
0.37 & 117.830800165364 & 2.76969810824273 \tabularnewline
0.38 & 118.357100609319 & 2.89359080152763 \tabularnewline
0.39 & 118.901037961098 & 2.99580016962211 \tabularnewline
0.4 & 119.458678230216 & 3.07023318925453 \tabularnewline
0.41 & 120.025383647344 & 3.11348728830749 \tabularnewline
0.42 & 120.596293000741 & 3.12560800352045 \tabularnewline
0.43 & 121.166858024909 & 3.11027037740595 \tabularnewline
0.44 & 121.733347239215 & 3.07434212758540 \tabularnewline
0.45 & 122.293233358828 & 3.02689625166808 \tabularnewline
0.46 & 122.845403962616 & 2.9772185775578 \tabularnewline
0.47 & 123.390171117284 & 2.93466832543541 \tabularnewline
0.48 & 123.929094688597 & 2.90606411667977 \tabularnewline
0.49 & 124.46466652814 & 2.89557411126854 \tabularnewline
0.5 & 124.999921556860 & 2.90461203981299 \tabularnewline
0.51 & 125.538044145021 & 2.93172008287109 \tabularnewline
0.52 & 126.082025791059 & 2.97389705638165 \tabularnewline
0.53 & 126.634408118616 & 3.02726655776150 \tabularnewline
0.54 & 127.197120544992 & 3.08750989584249 \tabularnewline
0.55 & 127.771401268699 & 3.15049112873692 \tabularnewline
0.56 & 128.357778258010 & 3.21254272749927 \tabularnewline
0.57 & 128.956085690323 & 3.27011383749082 \tabularnewline
0.58 & 129.565499831754 & 3.32003241860548 \tabularnewline
0.59 & 130.184593194263 & 3.35955084244458 \tabularnewline
0.6 & 130.811421876322 & 3.38535408347908 \tabularnewline
0.61 & 131.443672665376 & 3.39538839518281 \tabularnewline
0.62 & 132.078898765181 & 3.38880002030171 \tabularnewline
0.63 & 132.714862641930 & 3.36630210606837 \tabularnewline
0.64 & 133.349980853320 & 3.3313661916919 \tabularnewline
0.65 & 133.983831537955 & 3.29092249196387 \tabularnewline
0.66 & 134.617646719506 & 3.25478520337668 \tabularnewline
0.67 & 135.254678034382 & 3.23565479569572 \tabularnewline
0.68 & 135.900307079299 & 3.24716483510964 \tabularnewline
0.69 & 136.561781103679 & 3.30115465340241 \tabularnewline
0.7 & 137.247498650032 & 3.40468812838148 \tabularnewline
0.71 & 137.965848533983 & 3.55641672911699 \tabularnewline
0.72 & 138.72371005949 & 3.74455009090031 \tabularnewline
0.73 & 139.524832637388 & 3.94761939478259 \tabularnewline
0.74 & 140.368400634222 & 4.13692998981666 \tabularnewline
0.75 & 141.248123856988 & 4.28123058086983 \tabularnewline
0.76 & 142.152152640615 & 4.35110305455873 \tabularnewline
0.77 & 143.063993775004 & 4.32522773694412 \tabularnewline
0.78 & 143.964418263802 & 4.19387787477538 \tabularnewline
0.79 & 144.834145381089 & 3.96202121837633 \tabularnewline
0.8 & 145.656911955293 & 3.64952237615606 \tabularnewline
0.81 & 146.422435891504 & 3.28894364995136 \tabularnewline
0.82 & 147.128777051358 & 2.92213633787089 \tabularnewline
0.83 & 147.783670394725 & 2.59548803163426 \tabularnewline
0.84 & 148.404514251051 & 2.3547641196366 \tabularnewline
0.85 & 149.016802763093 & 2.23802693555296 \tabularnewline
0.86 & 149.650898850892 & 2.26373439626252 \tabularnewline
0.87 & 150.337219635893 & 2.41954172854144 \tabularnewline
0.88 & 151.100261112124 & 2.66184120374816 \tabularnewline
0.89 & 151.952492107968 & 2.92469853188225 \tabularnewline
0.9 & 152.889889824099 & 3.13242962819793 \tabularnewline
0.91 & 153.891370798789 & 3.2161555083825 \tabularnewline
0.92 & 154.923947511391 & 3.13540482033588 \tabularnewline
0.93 & 155.953539812744 & 2.89768421787037 \tabularnewline
0.94 & 156.958055753435 & 2.56560514250849 \tabularnewline
0.95 & 157.935865648373 & 2.23787131236854 \tabularnewline
0.96 & 158.901477689715 & 1.99180844735433 \tabularnewline
0.97 & 159.863255786044 & 1.80458174592739 \tabularnewline
0.98 & 160.785901011748 & 1.55775058427554 \tabularnewline
0.99 & 161.555644775891 & 1.21782639031435 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9954&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]93.7718399647975[/C][C]2.13241227624374[/C][/ROW]
[ROW][C]0.02[/C][C]95.0332567772096[/C][C]2.40529283393232[/C][/ROW]
[ROW][C]0.03[/C][C]96.4631926091707[/C][C]2.64421254353960[/C][/ROW]
[ROW][C]0.04[/C][C]97.8819935986163[/C][C]2.84030237647959[/C][/ROW]
[ROW][C]0.05[/C][C]99.2331462402798[/C][C]2.99474667759235[/C][/ROW]
[ROW][C]0.06[/C][C]100.504937487978[/C][C]3.05641168354036[/C][/ROW]
[ROW][C]0.07[/C][C]101.689766528873[/C][C]3.00222079327777[/C][/ROW]
[ROW][C]0.08[/C][C]102.779235164692[/C][C]2.86850863735183[/C][/ROW]
[ROW][C]0.09[/C][C]103.771179981850[/C][C]2.71914561558204[/C][/ROW]
[ROW][C]0.1[/C][C]104.673563214142[/C][C]2.60521121065660[/C][/ROW]
[ROW][C]0.11[/C][C]105.501919513712[/C][C]2.54468619194745[/C][/ROW]
[ROW][C]0.12[/C][C]106.273431235405[/C][C]2.52409939939657[/C][/ROW]
[ROW][C]0.13[/C][C]107.001607029949[/C][C]2.51501365594161[/C][/ROW]
[ROW][C]0.14[/C][C]107.69372750527[/C][C]2.48962198366272[/C][/ROW]
[ROW][C]0.15[/C][C]108.351179956264[/C][C]2.43106342310478[/C][/ROW]
[ROW][C]0.16[/C][C]108.971632769002[/C][C]2.33584961934272[/C][/ROW]
[ROW][C]0.17[/C][C]109.551742792327[/C][C]2.2117725393344[/C][/ROW]
[ROW][C]0.18[/C][C]110.08938926476[/C][C]2.07347192196367[/C][/ROW]
[ROW][C]0.19[/C][C]110.584928048705[/C][C]1.93763553458982[/C][/ROW]
[ROW][C]0.2[/C][C]111.041422670665[/C][C]1.81881996773629[/C][/ROW]
[ROW][C]0.21[/C][C]111.464115221939[/C][C]1.72587086429466[/C][/ROW]
[ROW][C]0.22[/C][C]111.859521944140[/C][C]1.66224445173899[/C][/ROW]
[ROW][C]0.23[/C][C]112.234507743203[/C][C]1.62666586532026[/C][/ROW]
[ROW][C]0.24[/C][C]112.595574730801[/C][C]1.61550025908422[/C][/ROW]
[ROW][C]0.25[/C][C]112.948459019989[/C][C]1.62450202008022[/C][/ROW]
[ROW][C]0.26[/C][C]113.298016385988[/C][C]1.65015869254453[/C][/ROW]
[ROW][C]0.27[/C][C]113.648313205430[/C][C]1.69028147400176[/C][/ROW]
[ROW][C]0.28[/C][C]114.00282232785[/C][C]1.74384625572734[/C][/ROW]
[ROW][C]0.29[/C][C]114.364637988101[/C][C]1.81043421771016[/C][/ROW]
[ROW][C]0.3[/C][C]114.736650409891[/C][C]1.89039682133037[/C][/ROW]
[ROW][C]0.31[/C][C]115.121645588547[/C][C]1.98442872796931[/C][/ROW]
[ROW][C]0.32[/C][C]115.522313581538[/C][C]2.09256445193283[/C][/ROW]
[ROW][C]0.33[/C][C]115.941161221581[/C][C]2.21437083240962[/C][/ROW]
[ROW][C]0.34[/C][C]116.380337211762[/C][C]2.34771923523752[/C][/ROW]
[ROW][C]0.35[/C][C]116.841392467191[/C][C]2.48889092896211[/C][/ROW]
[ROW][C]0.36[/C][C]117.325015812514[/C][C]2.63203477808642[/C][/ROW]
[ROW][C]0.37[/C][C]117.830800165364[/C][C]2.76969810824273[/C][/ROW]
[ROW][C]0.38[/C][C]118.357100609319[/C][C]2.89359080152763[/C][/ROW]
[ROW][C]0.39[/C][C]118.901037961098[/C][C]2.99580016962211[/C][/ROW]
[ROW][C]0.4[/C][C]119.458678230216[/C][C]3.07023318925453[/C][/ROW]
[ROW][C]0.41[/C][C]120.025383647344[/C][C]3.11348728830749[/C][/ROW]
[ROW][C]0.42[/C][C]120.596293000741[/C][C]3.12560800352045[/C][/ROW]
[ROW][C]0.43[/C][C]121.166858024909[/C][C]3.11027037740595[/C][/ROW]
[ROW][C]0.44[/C][C]121.733347239215[/C][C]3.07434212758540[/C][/ROW]
[ROW][C]0.45[/C][C]122.293233358828[/C][C]3.02689625166808[/C][/ROW]
[ROW][C]0.46[/C][C]122.845403962616[/C][C]2.9772185775578[/C][/ROW]
[ROW][C]0.47[/C][C]123.390171117284[/C][C]2.93466832543541[/C][/ROW]
[ROW][C]0.48[/C][C]123.929094688597[/C][C]2.90606411667977[/C][/ROW]
[ROW][C]0.49[/C][C]124.46466652814[/C][C]2.89557411126854[/C][/ROW]
[ROW][C]0.5[/C][C]124.999921556860[/C][C]2.90461203981299[/C][/ROW]
[ROW][C]0.51[/C][C]125.538044145021[/C][C]2.93172008287109[/C][/ROW]
[ROW][C]0.52[/C][C]126.082025791059[/C][C]2.97389705638165[/C][/ROW]
[ROW][C]0.53[/C][C]126.634408118616[/C][C]3.02726655776150[/C][/ROW]
[ROW][C]0.54[/C][C]127.197120544992[/C][C]3.08750989584249[/C][/ROW]
[ROW][C]0.55[/C][C]127.771401268699[/C][C]3.15049112873692[/C][/ROW]
[ROW][C]0.56[/C][C]128.357778258010[/C][C]3.21254272749927[/C][/ROW]
[ROW][C]0.57[/C][C]128.956085690323[/C][C]3.27011383749082[/C][/ROW]
[ROW][C]0.58[/C][C]129.565499831754[/C][C]3.32003241860548[/C][/ROW]
[ROW][C]0.59[/C][C]130.184593194263[/C][C]3.35955084244458[/C][/ROW]
[ROW][C]0.6[/C][C]130.811421876322[/C][C]3.38535408347908[/C][/ROW]
[ROW][C]0.61[/C][C]131.443672665376[/C][C]3.39538839518281[/C][/ROW]
[ROW][C]0.62[/C][C]132.078898765181[/C][C]3.38880002030171[/C][/ROW]
[ROW][C]0.63[/C][C]132.714862641930[/C][C]3.36630210606837[/C][/ROW]
[ROW][C]0.64[/C][C]133.349980853320[/C][C]3.3313661916919[/C][/ROW]
[ROW][C]0.65[/C][C]133.983831537955[/C][C]3.29092249196387[/C][/ROW]
[ROW][C]0.66[/C][C]134.617646719506[/C][C]3.25478520337668[/C][/ROW]
[ROW][C]0.67[/C][C]135.254678034382[/C][C]3.23565479569572[/C][/ROW]
[ROW][C]0.68[/C][C]135.900307079299[/C][C]3.24716483510964[/C][/ROW]
[ROW][C]0.69[/C][C]136.561781103679[/C][C]3.30115465340241[/C][/ROW]
[ROW][C]0.7[/C][C]137.247498650032[/C][C]3.40468812838148[/C][/ROW]
[ROW][C]0.71[/C][C]137.965848533983[/C][C]3.55641672911699[/C][/ROW]
[ROW][C]0.72[/C][C]138.72371005949[/C][C]3.74455009090031[/C][/ROW]
[ROW][C]0.73[/C][C]139.524832637388[/C][C]3.94761939478259[/C][/ROW]
[ROW][C]0.74[/C][C]140.368400634222[/C][C]4.13692998981666[/C][/ROW]
[ROW][C]0.75[/C][C]141.248123856988[/C][C]4.28123058086983[/C][/ROW]
[ROW][C]0.76[/C][C]142.152152640615[/C][C]4.35110305455873[/C][/ROW]
[ROW][C]0.77[/C][C]143.063993775004[/C][C]4.32522773694412[/C][/ROW]
[ROW][C]0.78[/C][C]143.964418263802[/C][C]4.19387787477538[/C][/ROW]
[ROW][C]0.79[/C][C]144.834145381089[/C][C]3.96202121837633[/C][/ROW]
[ROW][C]0.8[/C][C]145.656911955293[/C][C]3.64952237615606[/C][/ROW]
[ROW][C]0.81[/C][C]146.422435891504[/C][C]3.28894364995136[/C][/ROW]
[ROW][C]0.82[/C][C]147.128777051358[/C][C]2.92213633787089[/C][/ROW]
[ROW][C]0.83[/C][C]147.783670394725[/C][C]2.59548803163426[/C][/ROW]
[ROW][C]0.84[/C][C]148.404514251051[/C][C]2.3547641196366[/C][/ROW]
[ROW][C]0.85[/C][C]149.016802763093[/C][C]2.23802693555296[/C][/ROW]
[ROW][C]0.86[/C][C]149.650898850892[/C][C]2.26373439626252[/C][/ROW]
[ROW][C]0.87[/C][C]150.337219635893[/C][C]2.41954172854144[/C][/ROW]
[ROW][C]0.88[/C][C]151.100261112124[/C][C]2.66184120374816[/C][/ROW]
[ROW][C]0.89[/C][C]151.952492107968[/C][C]2.92469853188225[/C][/ROW]
[ROW][C]0.9[/C][C]152.889889824099[/C][C]3.13242962819793[/C][/ROW]
[ROW][C]0.91[/C][C]153.891370798789[/C][C]3.2161555083825[/C][/ROW]
[ROW][C]0.92[/C][C]154.923947511391[/C][C]3.13540482033588[/C][/ROW]
[ROW][C]0.93[/C][C]155.953539812744[/C][C]2.89768421787037[/C][/ROW]
[ROW][C]0.94[/C][C]156.958055753435[/C][C]2.56560514250849[/C][/ROW]
[ROW][C]0.95[/C][C]157.935865648373[/C][C]2.23787131236854[/C][/ROW]
[ROW][C]0.96[/C][C]158.901477689715[/C][C]1.99180844735433[/C][/ROW]
[ROW][C]0.97[/C][C]159.863255786044[/C][C]1.80458174592739[/C][/ROW]
[ROW][C]0.98[/C][C]160.785901011748[/C][C]1.55775058427554[/C][/ROW]
[ROW][C]0.99[/C][C]161.555644775891[/C][C]1.21782639031435[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9954&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9954&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
0.0193.77183996479752.13241227624374
0.0295.03325677720962.40529283393232
0.0396.46319260917072.64421254353960
0.0497.88199359861632.84030237647959
0.0599.23314624027982.99474667759235
0.06100.5049374879783.05641168354036
0.07101.6897665288733.00222079327777
0.08102.7792351646922.86850863735183
0.09103.7711799818502.71914561558204
0.1104.6735632141422.60521121065660
0.11105.5019195137122.54468619194745
0.12106.2734312354052.52409939939657
0.13107.0016070299492.51501365594161
0.14107.693727505272.48962198366272
0.15108.3511799562642.43106342310478
0.16108.9716327690022.33584961934272
0.17109.5517427923272.2117725393344
0.18110.089389264762.07347192196367
0.19110.5849280487051.93763553458982
0.2111.0414226706651.81881996773629
0.21111.4641152219391.72587086429466
0.22111.8595219441401.66224445173899
0.23112.2345077432031.62666586532026
0.24112.5955747308011.61550025908422
0.25112.9484590199891.62450202008022
0.26113.2980163859881.65015869254453
0.27113.6483132054301.69028147400176
0.28114.002822327851.74384625572734
0.29114.3646379881011.81043421771016
0.3114.7366504098911.89039682133037
0.31115.1216455885471.98442872796931
0.32115.5223135815382.09256445193283
0.33115.9411612215812.21437083240962
0.34116.3803372117622.34771923523752
0.35116.8413924671912.48889092896211
0.36117.3250158125142.63203477808642
0.37117.8308001653642.76969810824273
0.38118.3571006093192.89359080152763
0.39118.9010379610982.99580016962211
0.4119.4586782302163.07023318925453
0.41120.0253836473443.11348728830749
0.42120.5962930007413.12560800352045
0.43121.1668580249093.11027037740595
0.44121.7333472392153.07434212758540
0.45122.2932333588283.02689625166808
0.46122.8454039626162.9772185775578
0.47123.3901711172842.93466832543541
0.48123.9290946885972.90606411667977
0.49124.464666528142.89557411126854
0.5124.9999215568602.90461203981299
0.51125.5380441450212.93172008287109
0.52126.0820257910592.97389705638165
0.53126.6344081186163.02726655776150
0.54127.1971205449923.08750989584249
0.55127.7714012686993.15049112873692
0.56128.3577782580103.21254272749927
0.57128.9560856903233.27011383749082
0.58129.5654998317543.32003241860548
0.59130.1845931942633.35955084244458
0.6130.8114218763223.38535408347908
0.61131.4436726653763.39538839518281
0.62132.0788987651813.38880002030171
0.63132.7148626419303.36630210606837
0.64133.3499808533203.3313661916919
0.65133.9838315379553.29092249196387
0.66134.6176467195063.25478520337668
0.67135.2546780343823.23565479569572
0.68135.9003070792993.24716483510964
0.69136.5617811036793.30115465340241
0.7137.2474986500323.40468812838148
0.71137.9658485339833.55641672911699
0.72138.723710059493.74455009090031
0.73139.5248326373883.94761939478259
0.74140.3684006342224.13692998981666
0.75141.2481238569884.28123058086983
0.76142.1521526406154.35110305455873
0.77143.0639937750044.32522773694412
0.78143.9644182638024.19387787477538
0.79144.8341453810893.96202121837633
0.8145.6569119552933.64952237615606
0.81146.4224358915043.28894364995136
0.82147.1287770513582.92213633787089
0.83147.7836703947252.59548803163426
0.84148.4045142510512.3547641196366
0.85149.0168027630932.23802693555296
0.86149.6508988508922.26373439626252
0.87150.3372196358932.41954172854144
0.88151.1002611121242.66184120374816
0.89151.9524921079682.92469853188225
0.9152.8898898240993.13242962819793
0.91153.8913707987893.2161555083825
0.92154.9239475113913.13540482033588
0.93155.9535398127442.89768421787037
0.94156.9580557534352.56560514250849
0.95157.9358656483732.23787131236854
0.96158.9014776897151.99180844735433
0.97159.8632557860441.80458174592739
0.98160.7859010117481.55775058427554
0.99161.5556447758911.21782639031435


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')