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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 13 Mar 2009 04:15:14 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/13/t1236939556kibj4ovu1r80fiz.htm/, Retrieved Tue, 07 Feb 2023 18:15:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39036, Retrieved Tue, 07 Feb 2023 18:15:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Van der Linden Ke...] [2009-03-13 10:15:14] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-  M D    [Harrell-Davis Quantiles] [] [2010-03-08 19:41:58] [3291826e0e4ab2dd91db91ee006bc70b]
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Dataseries X:
155
176
180
181
208
183
185
205
180
196
183
147
128
158
186
165
191
168
171
169
157
175
156
129
89
138
146
151
156
129
146
141
137
155
147
128
92
136
159
131
134
148
146
144
161
140
141
139
94
136
164
141
159
162
154
166
156
147
161
135
98
150
173
144
167
161
156
175
163
159
167
148
119
150
161
136
166
155
140
141




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39036&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39036&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39036&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0190.41424379663423.47705574477487
0.0293.1880566246025.91962883220278
0.0397.21897401323089.5612631444728
0.04102.32881830695112.6026094909249
0.05108.04401271946913.8234491737019
0.06113.69412663371213.0732867337107
0.07118.69642132609911.0294103108612
0.08122.7480605485158.60703131266447
0.09125.8360366973826.49894194392134
0.1128.1301574594485.01450173417838
0.11129.8573830244484.13210524999419
0.12131.2168761113923.65040530493992
0.13132.3470836871303.35868231248231
0.14133.3290408355793.12905022382307
0.15134.2048408051292.91568382824502
0.16134.9964311871772.71898718991412
0.17135.7182321123742.55456984066008
0.18136.3830074390372.43368285332961
0.19137.0031563251332.35605749259359
0.2137.5900020887222.31249462296644
0.21138.1529071973612.29092400234933
0.22138.6990271801052.28318637563979
0.23139.2337257581672.28660963302345
0.24139.7612759594212.30248442394321
0.25140.2854271359742.33383663550787
0.26140.8095888165002.38134419534467
0.27141.3366189319422.44165251001221
0.28141.8683921105012.5071404638057
0.29142.4054051572952.56750435185803
0.3142.9466464089842.61360293861586
0.31143.4898459684732.63900597086767
0.32144.0320848563072.64249273135689
0.33144.5706212867662.62827353147525
0.34145.1037249376422.60545736647382
0.35145.6313073899282.58662383067223
0.36146.1551909796412.58446674347971
0.37146.6789476440002.60907251068420
0.38147.2073375555442.66585747068057
0.39147.7454609391072.75346931872017
0.4148.2977898240462.86416340671641
0.41148.8672632568722.98561229680661
0.42149.4546113697043.10249386333595
0.43150.0580278142723.19946048004107
0.44150.673246508443.26282667392164
0.45151.2940085865383.28320118795095
0.46151.9128400385053.2565883582031
0.47152.522009954523.18417114819256
0.48153.1145117042193.07311957296218
0.49153.6849095263732.93412431822058
0.5154.2299210062932.78184028656512
0.51154.7486566845202.63092429722638
0.52155.242501838082.49440958764025
0.53155.7146897366522.38214195887158
0.54156.1696676846102.29953874948827
0.55156.6123869033182.24658218080766
0.56157.0476496947132.21953017115308
0.57157.4796231821042.21188747060124
0.58157.9115845675482.21674659768778
0.59158.3459084806622.22846401972624
0.6158.7842544175012.24312106319724
0.61159.2278724804782.25988253908373
0.62159.6779268019342.27970560352634
0.63160.1357420589872.30499654541136
0.64160.6029081872592.33832228655861
0.65161.0812254025892.38096541936510
0.66161.5725250389222.43253249761129
0.67162.0784477127052.4908206927544
0.68162.6002849777262.55176571701065
0.69163.1389834510952.6118152816075
0.7163.6953681454112.66952747853846
0.71164.2705712743632.72559465672858
0.72164.8665714771612.78537371314051
0.73165.4866812253862.85668950679709
0.74166.135793304862.94921174775521
0.75166.8202291055833.07078915822873
0.76167.5471236214873.22380598091542
0.77168.3234138978373.40438231453354
0.78169.154628146153.60099157722837
0.79170.0437523026373.79724860675460
0.8170.9904416981723.97455612401448
0.81171.9907437678944.11659549577717
0.82173.0373447080794.21067286167443
0.83174.1202250030264.24933184054386
0.84175.2275826581814.23002953092075
0.85176.3469917648614.15300248903002
0.86177.4669690291524.02281560232984
0.87178.5793225612893.84976274815638
0.88179.6827393379513.65468453269695
0.89180.7879401369173.47420003071148
0.9181.9243367822473.36401987520671
0.91183.1474270404593.39897378469721
0.92184.5451266832233.66032984033941
0.93186.2397519050744.20478798280169
0.94188.3798690280505.0277125207662
0.95191.1116741728736.034848198696
0.96194.5142341134586.99575498970881
0.97198.4871567361347.44856332369664
0.98202.6129696328556.73100916121355
0.99206.0946539068014.69490394760748

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 90.4142437966342 & 3.47705574477487 \tabularnewline
0.02 & 93.188056624602 & 5.91962883220278 \tabularnewline
0.03 & 97.2189740132308 & 9.5612631444728 \tabularnewline
0.04 & 102.328818306951 & 12.6026094909249 \tabularnewline
0.05 & 108.044012719469 & 13.8234491737019 \tabularnewline
0.06 & 113.694126633712 & 13.0732867337107 \tabularnewline
0.07 & 118.696421326099 & 11.0294103108612 \tabularnewline
0.08 & 122.748060548515 & 8.60703131266447 \tabularnewline
0.09 & 125.836036697382 & 6.49894194392134 \tabularnewline
0.1 & 128.130157459448 & 5.01450173417838 \tabularnewline
0.11 & 129.857383024448 & 4.13210524999419 \tabularnewline
0.12 & 131.216876111392 & 3.65040530493992 \tabularnewline
0.13 & 132.347083687130 & 3.35868231248231 \tabularnewline
0.14 & 133.329040835579 & 3.12905022382307 \tabularnewline
0.15 & 134.204840805129 & 2.91568382824502 \tabularnewline
0.16 & 134.996431187177 & 2.71898718991412 \tabularnewline
0.17 & 135.718232112374 & 2.55456984066008 \tabularnewline
0.18 & 136.383007439037 & 2.43368285332961 \tabularnewline
0.19 & 137.003156325133 & 2.35605749259359 \tabularnewline
0.2 & 137.590002088722 & 2.31249462296644 \tabularnewline
0.21 & 138.152907197361 & 2.29092400234933 \tabularnewline
0.22 & 138.699027180105 & 2.28318637563979 \tabularnewline
0.23 & 139.233725758167 & 2.28660963302345 \tabularnewline
0.24 & 139.761275959421 & 2.30248442394321 \tabularnewline
0.25 & 140.285427135974 & 2.33383663550787 \tabularnewline
0.26 & 140.809588816500 & 2.38134419534467 \tabularnewline
0.27 & 141.336618931942 & 2.44165251001221 \tabularnewline
0.28 & 141.868392110501 & 2.5071404638057 \tabularnewline
0.29 & 142.405405157295 & 2.56750435185803 \tabularnewline
0.3 & 142.946646408984 & 2.61360293861586 \tabularnewline
0.31 & 143.489845968473 & 2.63900597086767 \tabularnewline
0.32 & 144.032084856307 & 2.64249273135689 \tabularnewline
0.33 & 144.570621286766 & 2.62827353147525 \tabularnewline
0.34 & 145.103724937642 & 2.60545736647382 \tabularnewline
0.35 & 145.631307389928 & 2.58662383067223 \tabularnewline
0.36 & 146.155190979641 & 2.58446674347971 \tabularnewline
0.37 & 146.678947644000 & 2.60907251068420 \tabularnewline
0.38 & 147.207337555544 & 2.66585747068057 \tabularnewline
0.39 & 147.745460939107 & 2.75346931872017 \tabularnewline
0.4 & 148.297789824046 & 2.86416340671641 \tabularnewline
0.41 & 148.867263256872 & 2.98561229680661 \tabularnewline
0.42 & 149.454611369704 & 3.10249386333595 \tabularnewline
0.43 & 150.058027814272 & 3.19946048004107 \tabularnewline
0.44 & 150.67324650844 & 3.26282667392164 \tabularnewline
0.45 & 151.294008586538 & 3.28320118795095 \tabularnewline
0.46 & 151.912840038505 & 3.2565883582031 \tabularnewline
0.47 & 152.52200995452 & 3.18417114819256 \tabularnewline
0.48 & 153.114511704219 & 3.07311957296218 \tabularnewline
0.49 & 153.684909526373 & 2.93412431822058 \tabularnewline
0.5 & 154.229921006293 & 2.78184028656512 \tabularnewline
0.51 & 154.748656684520 & 2.63092429722638 \tabularnewline
0.52 & 155.24250183808 & 2.49440958764025 \tabularnewline
0.53 & 155.714689736652 & 2.38214195887158 \tabularnewline
0.54 & 156.169667684610 & 2.29953874948827 \tabularnewline
0.55 & 156.612386903318 & 2.24658218080766 \tabularnewline
0.56 & 157.047649694713 & 2.21953017115308 \tabularnewline
0.57 & 157.479623182104 & 2.21188747060124 \tabularnewline
0.58 & 157.911584567548 & 2.21674659768778 \tabularnewline
0.59 & 158.345908480662 & 2.22846401972624 \tabularnewline
0.6 & 158.784254417501 & 2.24312106319724 \tabularnewline
0.61 & 159.227872480478 & 2.25988253908373 \tabularnewline
0.62 & 159.677926801934 & 2.27970560352634 \tabularnewline
0.63 & 160.135742058987 & 2.30499654541136 \tabularnewline
0.64 & 160.602908187259 & 2.33832228655861 \tabularnewline
0.65 & 161.081225402589 & 2.38096541936510 \tabularnewline
0.66 & 161.572525038922 & 2.43253249761129 \tabularnewline
0.67 & 162.078447712705 & 2.4908206927544 \tabularnewline
0.68 & 162.600284977726 & 2.55176571701065 \tabularnewline
0.69 & 163.138983451095 & 2.6118152816075 \tabularnewline
0.7 & 163.695368145411 & 2.66952747853846 \tabularnewline
0.71 & 164.270571274363 & 2.72559465672858 \tabularnewline
0.72 & 164.866571477161 & 2.78537371314051 \tabularnewline
0.73 & 165.486681225386 & 2.85668950679709 \tabularnewline
0.74 & 166.13579330486 & 2.94921174775521 \tabularnewline
0.75 & 166.820229105583 & 3.07078915822873 \tabularnewline
0.76 & 167.547123621487 & 3.22380598091542 \tabularnewline
0.77 & 168.323413897837 & 3.40438231453354 \tabularnewline
0.78 & 169.15462814615 & 3.60099157722837 \tabularnewline
0.79 & 170.043752302637 & 3.79724860675460 \tabularnewline
0.8 & 170.990441698172 & 3.97455612401448 \tabularnewline
0.81 & 171.990743767894 & 4.11659549577717 \tabularnewline
0.82 & 173.037344708079 & 4.21067286167443 \tabularnewline
0.83 & 174.120225003026 & 4.24933184054386 \tabularnewline
0.84 & 175.227582658181 & 4.23002953092075 \tabularnewline
0.85 & 176.346991764861 & 4.15300248903002 \tabularnewline
0.86 & 177.466969029152 & 4.02281560232984 \tabularnewline
0.87 & 178.579322561289 & 3.84976274815638 \tabularnewline
0.88 & 179.682739337951 & 3.65468453269695 \tabularnewline
0.89 & 180.787940136917 & 3.47420003071148 \tabularnewline
0.9 & 181.924336782247 & 3.36401987520671 \tabularnewline
0.91 & 183.147427040459 & 3.39897378469721 \tabularnewline
0.92 & 184.545126683223 & 3.66032984033941 \tabularnewline
0.93 & 186.239751905074 & 4.20478798280169 \tabularnewline
0.94 & 188.379869028050 & 5.0277125207662 \tabularnewline
0.95 & 191.111674172873 & 6.034848198696 \tabularnewline
0.96 & 194.514234113458 & 6.99575498970881 \tabularnewline
0.97 & 198.487156736134 & 7.44856332369664 \tabularnewline
0.98 & 202.612969632855 & 6.73100916121355 \tabularnewline
0.99 & 206.094653906801 & 4.69490394760748 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39036&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]90.4142437966342[/C][C]3.47705574477487[/C][/ROW]
[ROW][C]0.02[/C][C]93.188056624602[/C][C]5.91962883220278[/C][/ROW]
[ROW][C]0.03[/C][C]97.2189740132308[/C][C]9.5612631444728[/C][/ROW]
[ROW][C]0.04[/C][C]102.328818306951[/C][C]12.6026094909249[/C][/ROW]
[ROW][C]0.05[/C][C]108.044012719469[/C][C]13.8234491737019[/C][/ROW]
[ROW][C]0.06[/C][C]113.694126633712[/C][C]13.0732867337107[/C][/ROW]
[ROW][C]0.07[/C][C]118.696421326099[/C][C]11.0294103108612[/C][/ROW]
[ROW][C]0.08[/C][C]122.748060548515[/C][C]8.60703131266447[/C][/ROW]
[ROW][C]0.09[/C][C]125.836036697382[/C][C]6.49894194392134[/C][/ROW]
[ROW][C]0.1[/C][C]128.130157459448[/C][C]5.01450173417838[/C][/ROW]
[ROW][C]0.11[/C][C]129.857383024448[/C][C]4.13210524999419[/C][/ROW]
[ROW][C]0.12[/C][C]131.216876111392[/C][C]3.65040530493992[/C][/ROW]
[ROW][C]0.13[/C][C]132.347083687130[/C][C]3.35868231248231[/C][/ROW]
[ROW][C]0.14[/C][C]133.329040835579[/C][C]3.12905022382307[/C][/ROW]
[ROW][C]0.15[/C][C]134.204840805129[/C][C]2.91568382824502[/C][/ROW]
[ROW][C]0.16[/C][C]134.996431187177[/C][C]2.71898718991412[/C][/ROW]
[ROW][C]0.17[/C][C]135.718232112374[/C][C]2.55456984066008[/C][/ROW]
[ROW][C]0.18[/C][C]136.383007439037[/C][C]2.43368285332961[/C][/ROW]
[ROW][C]0.19[/C][C]137.003156325133[/C][C]2.35605749259359[/C][/ROW]
[ROW][C]0.2[/C][C]137.590002088722[/C][C]2.31249462296644[/C][/ROW]
[ROW][C]0.21[/C][C]138.152907197361[/C][C]2.29092400234933[/C][/ROW]
[ROW][C]0.22[/C][C]138.699027180105[/C][C]2.28318637563979[/C][/ROW]
[ROW][C]0.23[/C][C]139.233725758167[/C][C]2.28660963302345[/C][/ROW]
[ROW][C]0.24[/C][C]139.761275959421[/C][C]2.30248442394321[/C][/ROW]
[ROW][C]0.25[/C][C]140.285427135974[/C][C]2.33383663550787[/C][/ROW]
[ROW][C]0.26[/C][C]140.809588816500[/C][C]2.38134419534467[/C][/ROW]
[ROW][C]0.27[/C][C]141.336618931942[/C][C]2.44165251001221[/C][/ROW]
[ROW][C]0.28[/C][C]141.868392110501[/C][C]2.5071404638057[/C][/ROW]
[ROW][C]0.29[/C][C]142.405405157295[/C][C]2.56750435185803[/C][/ROW]
[ROW][C]0.3[/C][C]142.946646408984[/C][C]2.61360293861586[/C][/ROW]
[ROW][C]0.31[/C][C]143.489845968473[/C][C]2.63900597086767[/C][/ROW]
[ROW][C]0.32[/C][C]144.032084856307[/C][C]2.64249273135689[/C][/ROW]
[ROW][C]0.33[/C][C]144.570621286766[/C][C]2.62827353147525[/C][/ROW]
[ROW][C]0.34[/C][C]145.103724937642[/C][C]2.60545736647382[/C][/ROW]
[ROW][C]0.35[/C][C]145.631307389928[/C][C]2.58662383067223[/C][/ROW]
[ROW][C]0.36[/C][C]146.155190979641[/C][C]2.58446674347971[/C][/ROW]
[ROW][C]0.37[/C][C]146.678947644000[/C][C]2.60907251068420[/C][/ROW]
[ROW][C]0.38[/C][C]147.207337555544[/C][C]2.66585747068057[/C][/ROW]
[ROW][C]0.39[/C][C]147.745460939107[/C][C]2.75346931872017[/C][/ROW]
[ROW][C]0.4[/C][C]148.297789824046[/C][C]2.86416340671641[/C][/ROW]
[ROW][C]0.41[/C][C]148.867263256872[/C][C]2.98561229680661[/C][/ROW]
[ROW][C]0.42[/C][C]149.454611369704[/C][C]3.10249386333595[/C][/ROW]
[ROW][C]0.43[/C][C]150.058027814272[/C][C]3.19946048004107[/C][/ROW]
[ROW][C]0.44[/C][C]150.67324650844[/C][C]3.26282667392164[/C][/ROW]
[ROW][C]0.45[/C][C]151.294008586538[/C][C]3.28320118795095[/C][/ROW]
[ROW][C]0.46[/C][C]151.912840038505[/C][C]3.2565883582031[/C][/ROW]
[ROW][C]0.47[/C][C]152.52200995452[/C][C]3.18417114819256[/C][/ROW]
[ROW][C]0.48[/C][C]153.114511704219[/C][C]3.07311957296218[/C][/ROW]
[ROW][C]0.49[/C][C]153.684909526373[/C][C]2.93412431822058[/C][/ROW]
[ROW][C]0.5[/C][C]154.229921006293[/C][C]2.78184028656512[/C][/ROW]
[ROW][C]0.51[/C][C]154.748656684520[/C][C]2.63092429722638[/C][/ROW]
[ROW][C]0.52[/C][C]155.24250183808[/C][C]2.49440958764025[/C][/ROW]
[ROW][C]0.53[/C][C]155.714689736652[/C][C]2.38214195887158[/C][/ROW]
[ROW][C]0.54[/C][C]156.169667684610[/C][C]2.29953874948827[/C][/ROW]
[ROW][C]0.55[/C][C]156.612386903318[/C][C]2.24658218080766[/C][/ROW]
[ROW][C]0.56[/C][C]157.047649694713[/C][C]2.21953017115308[/C][/ROW]
[ROW][C]0.57[/C][C]157.479623182104[/C][C]2.21188747060124[/C][/ROW]
[ROW][C]0.58[/C][C]157.911584567548[/C][C]2.21674659768778[/C][/ROW]
[ROW][C]0.59[/C][C]158.345908480662[/C][C]2.22846401972624[/C][/ROW]
[ROW][C]0.6[/C][C]158.784254417501[/C][C]2.24312106319724[/C][/ROW]
[ROW][C]0.61[/C][C]159.227872480478[/C][C]2.25988253908373[/C][/ROW]
[ROW][C]0.62[/C][C]159.677926801934[/C][C]2.27970560352634[/C][/ROW]
[ROW][C]0.63[/C][C]160.135742058987[/C][C]2.30499654541136[/C][/ROW]
[ROW][C]0.64[/C][C]160.602908187259[/C][C]2.33832228655861[/C][/ROW]
[ROW][C]0.65[/C][C]161.081225402589[/C][C]2.38096541936510[/C][/ROW]
[ROW][C]0.66[/C][C]161.572525038922[/C][C]2.43253249761129[/C][/ROW]
[ROW][C]0.67[/C][C]162.078447712705[/C][C]2.4908206927544[/C][/ROW]
[ROW][C]0.68[/C][C]162.600284977726[/C][C]2.55176571701065[/C][/ROW]
[ROW][C]0.69[/C][C]163.138983451095[/C][C]2.6118152816075[/C][/ROW]
[ROW][C]0.7[/C][C]163.695368145411[/C][C]2.66952747853846[/C][/ROW]
[ROW][C]0.71[/C][C]164.270571274363[/C][C]2.72559465672858[/C][/ROW]
[ROW][C]0.72[/C][C]164.866571477161[/C][C]2.78537371314051[/C][/ROW]
[ROW][C]0.73[/C][C]165.486681225386[/C][C]2.85668950679709[/C][/ROW]
[ROW][C]0.74[/C][C]166.13579330486[/C][C]2.94921174775521[/C][/ROW]
[ROW][C]0.75[/C][C]166.820229105583[/C][C]3.07078915822873[/C][/ROW]
[ROW][C]0.76[/C][C]167.547123621487[/C][C]3.22380598091542[/C][/ROW]
[ROW][C]0.77[/C][C]168.323413897837[/C][C]3.40438231453354[/C][/ROW]
[ROW][C]0.78[/C][C]169.15462814615[/C][C]3.60099157722837[/C][/ROW]
[ROW][C]0.79[/C][C]170.043752302637[/C][C]3.79724860675460[/C][/ROW]
[ROW][C]0.8[/C][C]170.990441698172[/C][C]3.97455612401448[/C][/ROW]
[ROW][C]0.81[/C][C]171.990743767894[/C][C]4.11659549577717[/C][/ROW]
[ROW][C]0.82[/C][C]173.037344708079[/C][C]4.21067286167443[/C][/ROW]
[ROW][C]0.83[/C][C]174.120225003026[/C][C]4.24933184054386[/C][/ROW]
[ROW][C]0.84[/C][C]175.227582658181[/C][C]4.23002953092075[/C][/ROW]
[ROW][C]0.85[/C][C]176.346991764861[/C][C]4.15300248903002[/C][/ROW]
[ROW][C]0.86[/C][C]177.466969029152[/C][C]4.02281560232984[/C][/ROW]
[ROW][C]0.87[/C][C]178.579322561289[/C][C]3.84976274815638[/C][/ROW]
[ROW][C]0.88[/C][C]179.682739337951[/C][C]3.65468453269695[/C][/ROW]
[ROW][C]0.89[/C][C]180.787940136917[/C][C]3.47420003071148[/C][/ROW]
[ROW][C]0.9[/C][C]181.924336782247[/C][C]3.36401987520671[/C][/ROW]
[ROW][C]0.91[/C][C]183.147427040459[/C][C]3.39897378469721[/C][/ROW]
[ROW][C]0.92[/C][C]184.545126683223[/C][C]3.66032984033941[/C][/ROW]
[ROW][C]0.93[/C][C]186.239751905074[/C][C]4.20478798280169[/C][/ROW]
[ROW][C]0.94[/C][C]188.379869028050[/C][C]5.0277125207662[/C][/ROW]
[ROW][C]0.95[/C][C]191.111674172873[/C][C]6.034848198696[/C][/ROW]
[ROW][C]0.96[/C][C]194.514234113458[/C][C]6.99575498970881[/C][/ROW]
[ROW][C]0.97[/C][C]198.487156736134[/C][C]7.44856332369664[/C][/ROW]
[ROW][C]0.98[/C][C]202.612969632855[/C][C]6.73100916121355[/C][/ROW]
[ROW][C]0.99[/C][C]206.094653906801[/C][C]4.69490394760748[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39036&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39036&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0190.41424379663423.47705574477487
0.0293.1880566246025.91962883220278
0.0397.21897401323089.5612631444728
0.04102.32881830695112.6026094909249
0.05108.04401271946913.8234491737019
0.06113.69412663371213.0732867337107
0.07118.69642132609911.0294103108612
0.08122.7480605485158.60703131266447
0.09125.8360366973826.49894194392134
0.1128.1301574594485.01450173417838
0.11129.8573830244484.13210524999419
0.12131.2168761113923.65040530493992
0.13132.3470836871303.35868231248231
0.14133.3290408355793.12905022382307
0.15134.2048408051292.91568382824502
0.16134.9964311871772.71898718991412
0.17135.7182321123742.55456984066008
0.18136.3830074390372.43368285332961
0.19137.0031563251332.35605749259359
0.2137.5900020887222.31249462296644
0.21138.1529071973612.29092400234933
0.22138.6990271801052.28318637563979
0.23139.2337257581672.28660963302345
0.24139.7612759594212.30248442394321
0.25140.2854271359742.33383663550787
0.26140.8095888165002.38134419534467
0.27141.3366189319422.44165251001221
0.28141.8683921105012.5071404638057
0.29142.4054051572952.56750435185803
0.3142.9466464089842.61360293861586
0.31143.4898459684732.63900597086767
0.32144.0320848563072.64249273135689
0.33144.5706212867662.62827353147525
0.34145.1037249376422.60545736647382
0.35145.6313073899282.58662383067223
0.36146.1551909796412.58446674347971
0.37146.6789476440002.60907251068420
0.38147.2073375555442.66585747068057
0.39147.7454609391072.75346931872017
0.4148.2977898240462.86416340671641
0.41148.8672632568722.98561229680661
0.42149.4546113697043.10249386333595
0.43150.0580278142723.19946048004107
0.44150.673246508443.26282667392164
0.45151.2940085865383.28320118795095
0.46151.9128400385053.2565883582031
0.47152.522009954523.18417114819256
0.48153.1145117042193.07311957296218
0.49153.6849095263732.93412431822058
0.5154.2299210062932.78184028656512
0.51154.7486566845202.63092429722638
0.52155.242501838082.49440958764025
0.53155.7146897366522.38214195887158
0.54156.1696676846102.29953874948827
0.55156.6123869033182.24658218080766
0.56157.0476496947132.21953017115308
0.57157.4796231821042.21188747060124
0.58157.9115845675482.21674659768778
0.59158.3459084806622.22846401972624
0.6158.7842544175012.24312106319724
0.61159.2278724804782.25988253908373
0.62159.6779268019342.27970560352634
0.63160.1357420589872.30499654541136
0.64160.6029081872592.33832228655861
0.65161.0812254025892.38096541936510
0.66161.5725250389222.43253249761129
0.67162.0784477127052.4908206927544
0.68162.6002849777262.55176571701065
0.69163.1389834510952.6118152816075
0.7163.6953681454112.66952747853846
0.71164.2705712743632.72559465672858
0.72164.8665714771612.78537371314051
0.73165.4866812253862.85668950679709
0.74166.135793304862.94921174775521
0.75166.8202291055833.07078915822873
0.76167.5471236214873.22380598091542
0.77168.3234138978373.40438231453354
0.78169.154628146153.60099157722837
0.79170.0437523026373.79724860675460
0.8170.9904416981723.97455612401448
0.81171.9907437678944.11659549577717
0.82173.0373447080794.21067286167443
0.83174.1202250030264.24933184054386
0.84175.2275826581814.23002953092075
0.85176.3469917648614.15300248903002
0.86177.4669690291524.02281560232984
0.87178.5793225612893.84976274815638
0.88179.6827393379513.65468453269695
0.89180.7879401369173.47420003071148
0.9181.9243367822473.36401987520671
0.91183.1474270404593.39897378469721
0.92184.5451266832233.66032984033941
0.93186.2397519050744.20478798280169
0.94188.3798690280505.0277125207662
0.95191.1116741728736.034848198696
0.96194.5142341134586.99575498970881
0.97198.4871567361347.44856332369664
0.98202.6129696328556.73100916121355
0.99206.0946539068014.69490394760748



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')