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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 computationTue, 03 Aug 2010 12:57:09 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Aug/03/t1280840332rockz0l4q71ybfv.htm/, Retrieved Thu, 02 May 2024 14:51:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78251, Retrieved Thu, 02 May 2024 14:51:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPhilippe De Vocht
Estimated Impact151

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] [Omzet product X] [2010-08-03 12:57:09] [181f2439255053cc457d7672472fa443] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
73
72
71
69
89
88
73
63
64
64
65
67
69
71
70
72
88
83
76
70
75
71
75
81
87
90
80
85
105
104
98
94
107
112
121
118
120
122
109
112
132
127
116
113
123
125
137
127
123
128
114
120
143
135
119
117
132
139
158
141
139
150
142
149
166
150
139
140
158
169
186
177
175
187
176
185
204
188
171
171
182
185
200
192
185
195
190
195
213
194
171
171
186
182
193
185
172
185
179
182
193
173
155
164
188
186
200
185
173
190
190
193
195
178
163
165
188
182
200
177

Tables (Output of Computation)





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=78251&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=78251&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78251&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0163.59932743871720.841202144234912
0.0264.54315149417171.36167524248216
0.0365.71217192401271.96760919478659
0.0466.9986101602562.10587059939705
0.0568.19234724282061.87223527274425
0.0669.17337106734071.56497440870427
0.0769.95469592352141.37714244953171
0.0870.61531610094121.36629129333157
0.0971.2430412470351.53397034619249
0.171.91408912242831.87240020132982
0.1172.69099335228242.36765359080952
0.1273.62257124087392.99067053060239
0.1374.74142807738073.69381331802436
0.1476.06077213810094.41439375943272
0.1577.5737698270695.08938211506375
0.1679.25773171915245.67765828690871
0.1781.08305709219976.17678730363661
0.1883.02406845926396.62470716414568
0.1985.06721521008527.0814393073626
0.287.21280045422297.5957421148679
0.2189.46921534002178.17385378338755
0.2291.84216792446848.76766232007298
0.2394.32370725653959.2903525960011
0.2496.88582518977539.64726225603959
0.2599.48122495752749.76824019870706
0.26102.0507204141809.62835770127851
0.27104.5342214379309.25044777447936
0.28106.8813867630288.69555654529485
0.29109.0588563858958.04293008839125
0.3111.0527925419667.37139611437026
0.31112.8672759655396.74518478804444
0.32114.5201978874276.20858399354313
0.33116.0384491530265.78774057026872
0.34117.4536791500595.49490795111036
0.35118.7991235867215.33344208620796
0.36120.107372627585.30021738738143
0.37121.4086657514945.38507091273765
0.38122.7293504407825.56997533849331
0.39124.0903948873065.82874472724213
0.4125.5061329414056.12917414640149
0.41126.9836077027236.43778316280662
0.42128.5228945207576.7240628590744
0.43130.1186140469586.9684173858273
0.44131.7625365761567.16374830823155
0.45133.4468210554687.32105055105971
0.46135.1671444896247.46504393362591
0.47136.9248749011767.62812460936616
0.48138.7275922539547.84241552507298
0.49140.5876529767358.12660610948883
0.5142.5190197167108.47955929770643
0.51144.5330730707968.87681448256524
0.52146.6344223202939.27493180262918
0.53148.8177411065019.62160260013443
0.54151.0663800286719.86416838242185
0.55153.353056124529.95827295136466
0.56155.6424410727029.87803531335903
0.57157.8951011809459.61600841792715
0.58160.0720544557699.18562656672555
0.59162.1391998529298.6175296455362
0.6164.0709865863897.9562737029579
0.61165.852862285437.25332959471081
0.62167.4822260837076.56153976518553
0.63168.9678063303475.92938659785395
0.64170.3275872511615.39316660300086
0.65171.5856171953604.97431974293412
0.66172.7682085106874.67553431160748
0.67173.9001337385614.48185324134275
0.68175.0013954211334.36430948385253
0.69176.0849995694524.28818461501112
0.7177.1559455402554.2174602424448
0.71178.2114317691374.12122958636856
0.72179.2421271107743.97708521917969
0.73180.2342866476103.77235031630415
0.74181.1724662695653.5063393142792
0.75182.0425569066053.18939976020277
0.76182.8347794326312.84245007255093
0.77183.5461703986232.49443924213189
0.78184.1820242175032.17792700753576
0.79184.7558451349101.92401491026714
0.8185.2876656217311.75523213054575
0.81185.8010539935171.67944460961413
0.82186.3195751738701.68651659446012
0.83186.8636363179801.75412638191242
0.84187.4483870551631.85598338414997
0.85188.0827394650611.96825692309501
0.86188.7690009698672.07020554477253
0.87189.5025813133602.14226566180605
0.88190.2720043844452.16466734997524
0.89191.0606416086522.12296476936406
0.9191.8522061485352.02048868354277
0.91192.6412488894411.89079825952003
0.92193.447242625641.80472529429025
0.93194.3250998068821.85774270772852
0.94195.3562318971742.1029863035631
0.95196.6089090957342.42653612867370
0.96198.1165036290762.57723375334752
0.97200.0340721765942.62315805015069
0.98203.0533117556603.53621750163884
0.99208.1190294378546.15148326786497

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 63.5993274387172 & 0.841202144234912 \tabularnewline
0.02 & 64.5431514941717 & 1.36167524248216 \tabularnewline
0.03 & 65.7121719240127 & 1.96760919478659 \tabularnewline
0.04 & 66.998610160256 & 2.10587059939705 \tabularnewline
0.05 & 68.1923472428206 & 1.87223527274425 \tabularnewline
0.06 & 69.1733710673407 & 1.56497440870427 \tabularnewline
0.07 & 69.9546959235214 & 1.37714244953171 \tabularnewline
0.08 & 70.6153161009412 & 1.36629129333157 \tabularnewline
0.09 & 71.243041247035 & 1.53397034619249 \tabularnewline
0.1 & 71.9140891224283 & 1.87240020132982 \tabularnewline
0.11 & 72.6909933522824 & 2.36765359080952 \tabularnewline
0.12 & 73.6225712408739 & 2.99067053060239 \tabularnewline
0.13 & 74.7414280773807 & 3.69381331802436 \tabularnewline
0.14 & 76.0607721381009 & 4.41439375943272 \tabularnewline
0.15 & 77.573769827069 & 5.08938211506375 \tabularnewline
0.16 & 79.2577317191524 & 5.67765828690871 \tabularnewline
0.17 & 81.0830570921997 & 6.17678730363661 \tabularnewline
0.18 & 83.0240684592639 & 6.62470716414568 \tabularnewline
0.19 & 85.0672152100852 & 7.0814393073626 \tabularnewline
0.2 & 87.2128004542229 & 7.5957421148679 \tabularnewline
0.21 & 89.4692153400217 & 8.17385378338755 \tabularnewline
0.22 & 91.8421679244684 & 8.76766232007298 \tabularnewline
0.23 & 94.3237072565395 & 9.2903525960011 \tabularnewline
0.24 & 96.8858251897753 & 9.64726225603959 \tabularnewline
0.25 & 99.4812249575274 & 9.76824019870706 \tabularnewline
0.26 & 102.050720414180 & 9.62835770127851 \tabularnewline
0.27 & 104.534221437930 & 9.25044777447936 \tabularnewline
0.28 & 106.881386763028 & 8.69555654529485 \tabularnewline
0.29 & 109.058856385895 & 8.04293008839125 \tabularnewline
0.3 & 111.052792541966 & 7.37139611437026 \tabularnewline
0.31 & 112.867275965539 & 6.74518478804444 \tabularnewline
0.32 & 114.520197887427 & 6.20858399354313 \tabularnewline
0.33 & 116.038449153026 & 5.78774057026872 \tabularnewline
0.34 & 117.453679150059 & 5.49490795111036 \tabularnewline
0.35 & 118.799123586721 & 5.33344208620796 \tabularnewline
0.36 & 120.10737262758 & 5.30021738738143 \tabularnewline
0.37 & 121.408665751494 & 5.38507091273765 \tabularnewline
0.38 & 122.729350440782 & 5.56997533849331 \tabularnewline
0.39 & 124.090394887306 & 5.82874472724213 \tabularnewline
0.4 & 125.506132941405 & 6.12917414640149 \tabularnewline
0.41 & 126.983607702723 & 6.43778316280662 \tabularnewline
0.42 & 128.522894520757 & 6.7240628590744 \tabularnewline
0.43 & 130.118614046958 & 6.9684173858273 \tabularnewline
0.44 & 131.762536576156 & 7.16374830823155 \tabularnewline
0.45 & 133.446821055468 & 7.32105055105971 \tabularnewline
0.46 & 135.167144489624 & 7.46504393362591 \tabularnewline
0.47 & 136.924874901176 & 7.62812460936616 \tabularnewline
0.48 & 138.727592253954 & 7.84241552507298 \tabularnewline
0.49 & 140.587652976735 & 8.12660610948883 \tabularnewline
0.5 & 142.519019716710 & 8.47955929770643 \tabularnewline
0.51 & 144.533073070796 & 8.87681448256524 \tabularnewline
0.52 & 146.634422320293 & 9.27493180262918 \tabularnewline
0.53 & 148.817741106501 & 9.62160260013443 \tabularnewline
0.54 & 151.066380028671 & 9.86416838242185 \tabularnewline
0.55 & 153.35305612452 & 9.95827295136466 \tabularnewline
0.56 & 155.642441072702 & 9.87803531335903 \tabularnewline
0.57 & 157.895101180945 & 9.61600841792715 \tabularnewline
0.58 & 160.072054455769 & 9.18562656672555 \tabularnewline
0.59 & 162.139199852929 & 8.6175296455362 \tabularnewline
0.6 & 164.070986586389 & 7.9562737029579 \tabularnewline
0.61 & 165.85286228543 & 7.25332959471081 \tabularnewline
0.62 & 167.482226083707 & 6.56153976518553 \tabularnewline
0.63 & 168.967806330347 & 5.92938659785395 \tabularnewline
0.64 & 170.327587251161 & 5.39316660300086 \tabularnewline
0.65 & 171.585617195360 & 4.97431974293412 \tabularnewline
0.66 & 172.768208510687 & 4.67553431160748 \tabularnewline
0.67 & 173.900133738561 & 4.48185324134275 \tabularnewline
0.68 & 175.001395421133 & 4.36430948385253 \tabularnewline
0.69 & 176.084999569452 & 4.28818461501112 \tabularnewline
0.7 & 177.155945540255 & 4.2174602424448 \tabularnewline
0.71 & 178.211431769137 & 4.12122958636856 \tabularnewline
0.72 & 179.242127110774 & 3.97708521917969 \tabularnewline
0.73 & 180.234286647610 & 3.77235031630415 \tabularnewline
0.74 & 181.172466269565 & 3.5063393142792 \tabularnewline
0.75 & 182.042556906605 & 3.18939976020277 \tabularnewline
0.76 & 182.834779432631 & 2.84245007255093 \tabularnewline
0.77 & 183.546170398623 & 2.49443924213189 \tabularnewline
0.78 & 184.182024217503 & 2.17792700753576 \tabularnewline
0.79 & 184.755845134910 & 1.92401491026714 \tabularnewline
0.8 & 185.287665621731 & 1.75523213054575 \tabularnewline
0.81 & 185.801053993517 & 1.67944460961413 \tabularnewline
0.82 & 186.319575173870 & 1.68651659446012 \tabularnewline
0.83 & 186.863636317980 & 1.75412638191242 \tabularnewline
0.84 & 187.448387055163 & 1.85598338414997 \tabularnewline
0.85 & 188.082739465061 & 1.96825692309501 \tabularnewline
0.86 & 188.769000969867 & 2.07020554477253 \tabularnewline
0.87 & 189.502581313360 & 2.14226566180605 \tabularnewline
0.88 & 190.272004384445 & 2.16466734997524 \tabularnewline
0.89 & 191.060641608652 & 2.12296476936406 \tabularnewline
0.9 & 191.852206148535 & 2.02048868354277 \tabularnewline
0.91 & 192.641248889441 & 1.89079825952003 \tabularnewline
0.92 & 193.44724262564 & 1.80472529429025 \tabularnewline
0.93 & 194.325099806882 & 1.85774270772852 \tabularnewline
0.94 & 195.356231897174 & 2.1029863035631 \tabularnewline
0.95 & 196.608909095734 & 2.42653612867370 \tabularnewline
0.96 & 198.116503629076 & 2.57723375334752 \tabularnewline
0.97 & 200.034072176594 & 2.62315805015069 \tabularnewline
0.98 & 203.053311755660 & 3.53621750163884 \tabularnewline
0.99 & 208.119029437854 & 6.15148326786497 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78251&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]63.5993274387172[/C][C]0.841202144234912[/C][/ROW]
[ROW][C]0.02[/C][C]64.5431514941717[/C][C]1.36167524248216[/C][/ROW]
[ROW][C]0.03[/C][C]65.7121719240127[/C][C]1.96760919478659[/C][/ROW]
[ROW][C]0.04[/C][C]66.998610160256[/C][C]2.10587059939705[/C][/ROW]
[ROW][C]0.05[/C][C]68.1923472428206[/C][C]1.87223527274425[/C][/ROW]
[ROW][C]0.06[/C][C]69.1733710673407[/C][C]1.56497440870427[/C][/ROW]
[ROW][C]0.07[/C][C]69.9546959235214[/C][C]1.37714244953171[/C][/ROW]
[ROW][C]0.08[/C][C]70.6153161009412[/C][C]1.36629129333157[/C][/ROW]
[ROW][C]0.09[/C][C]71.243041247035[/C][C]1.53397034619249[/C][/ROW]
[ROW][C]0.1[/C][C]71.9140891224283[/C][C]1.87240020132982[/C][/ROW]
[ROW][C]0.11[/C][C]72.6909933522824[/C][C]2.36765359080952[/C][/ROW]
[ROW][C]0.12[/C][C]73.6225712408739[/C][C]2.99067053060239[/C][/ROW]
[ROW][C]0.13[/C][C]74.7414280773807[/C][C]3.69381331802436[/C][/ROW]
[ROW][C]0.14[/C][C]76.0607721381009[/C][C]4.41439375943272[/C][/ROW]
[ROW][C]0.15[/C][C]77.573769827069[/C][C]5.08938211506375[/C][/ROW]
[ROW][C]0.16[/C][C]79.2577317191524[/C][C]5.67765828690871[/C][/ROW]
[ROW][C]0.17[/C][C]81.0830570921997[/C][C]6.17678730363661[/C][/ROW]
[ROW][C]0.18[/C][C]83.0240684592639[/C][C]6.62470716414568[/C][/ROW]
[ROW][C]0.19[/C][C]85.0672152100852[/C][C]7.0814393073626[/C][/ROW]
[ROW][C]0.2[/C][C]87.2128004542229[/C][C]7.5957421148679[/C][/ROW]
[ROW][C]0.21[/C][C]89.4692153400217[/C][C]8.17385378338755[/C][/ROW]
[ROW][C]0.22[/C][C]91.8421679244684[/C][C]8.76766232007298[/C][/ROW]
[ROW][C]0.23[/C][C]94.3237072565395[/C][C]9.2903525960011[/C][/ROW]
[ROW][C]0.24[/C][C]96.8858251897753[/C][C]9.64726225603959[/C][/ROW]
[ROW][C]0.25[/C][C]99.4812249575274[/C][C]9.76824019870706[/C][/ROW]
[ROW][C]0.26[/C][C]102.050720414180[/C][C]9.62835770127851[/C][/ROW]
[ROW][C]0.27[/C][C]104.534221437930[/C][C]9.25044777447936[/C][/ROW]
[ROW][C]0.28[/C][C]106.881386763028[/C][C]8.69555654529485[/C][/ROW]
[ROW][C]0.29[/C][C]109.058856385895[/C][C]8.04293008839125[/C][/ROW]
[ROW][C]0.3[/C][C]111.052792541966[/C][C]7.37139611437026[/C][/ROW]
[ROW][C]0.31[/C][C]112.867275965539[/C][C]6.74518478804444[/C][/ROW]
[ROW][C]0.32[/C][C]114.520197887427[/C][C]6.20858399354313[/C][/ROW]
[ROW][C]0.33[/C][C]116.038449153026[/C][C]5.78774057026872[/C][/ROW]
[ROW][C]0.34[/C][C]117.453679150059[/C][C]5.49490795111036[/C][/ROW]
[ROW][C]0.35[/C][C]118.799123586721[/C][C]5.33344208620796[/C][/ROW]
[ROW][C]0.36[/C][C]120.10737262758[/C][C]5.30021738738143[/C][/ROW]
[ROW][C]0.37[/C][C]121.408665751494[/C][C]5.38507091273765[/C][/ROW]
[ROW][C]0.38[/C][C]122.729350440782[/C][C]5.56997533849331[/C][/ROW]
[ROW][C]0.39[/C][C]124.090394887306[/C][C]5.82874472724213[/C][/ROW]
[ROW][C]0.4[/C][C]125.506132941405[/C][C]6.12917414640149[/C][/ROW]
[ROW][C]0.41[/C][C]126.983607702723[/C][C]6.43778316280662[/C][/ROW]
[ROW][C]0.42[/C][C]128.522894520757[/C][C]6.7240628590744[/C][/ROW]
[ROW][C]0.43[/C][C]130.118614046958[/C][C]6.9684173858273[/C][/ROW]
[ROW][C]0.44[/C][C]131.762536576156[/C][C]7.16374830823155[/C][/ROW]
[ROW][C]0.45[/C][C]133.446821055468[/C][C]7.32105055105971[/C][/ROW]
[ROW][C]0.46[/C][C]135.167144489624[/C][C]7.46504393362591[/C][/ROW]
[ROW][C]0.47[/C][C]136.924874901176[/C][C]7.62812460936616[/C][/ROW]
[ROW][C]0.48[/C][C]138.727592253954[/C][C]7.84241552507298[/C][/ROW]
[ROW][C]0.49[/C][C]140.587652976735[/C][C]8.12660610948883[/C][/ROW]
[ROW][C]0.5[/C][C]142.519019716710[/C][C]8.47955929770643[/C][/ROW]
[ROW][C]0.51[/C][C]144.533073070796[/C][C]8.87681448256524[/C][/ROW]
[ROW][C]0.52[/C][C]146.634422320293[/C][C]9.27493180262918[/C][/ROW]
[ROW][C]0.53[/C][C]148.817741106501[/C][C]9.62160260013443[/C][/ROW]
[ROW][C]0.54[/C][C]151.066380028671[/C][C]9.86416838242185[/C][/ROW]
[ROW][C]0.55[/C][C]153.35305612452[/C][C]9.95827295136466[/C][/ROW]
[ROW][C]0.56[/C][C]155.642441072702[/C][C]9.87803531335903[/C][/ROW]
[ROW][C]0.57[/C][C]157.895101180945[/C][C]9.61600841792715[/C][/ROW]
[ROW][C]0.58[/C][C]160.072054455769[/C][C]9.18562656672555[/C][/ROW]
[ROW][C]0.59[/C][C]162.139199852929[/C][C]8.6175296455362[/C][/ROW]
[ROW][C]0.6[/C][C]164.070986586389[/C][C]7.9562737029579[/C][/ROW]
[ROW][C]0.61[/C][C]165.85286228543[/C][C]7.25332959471081[/C][/ROW]
[ROW][C]0.62[/C][C]167.482226083707[/C][C]6.56153976518553[/C][/ROW]
[ROW][C]0.63[/C][C]168.967806330347[/C][C]5.92938659785395[/C][/ROW]
[ROW][C]0.64[/C][C]170.327587251161[/C][C]5.39316660300086[/C][/ROW]
[ROW][C]0.65[/C][C]171.585617195360[/C][C]4.97431974293412[/C][/ROW]
[ROW][C]0.66[/C][C]172.768208510687[/C][C]4.67553431160748[/C][/ROW]
[ROW][C]0.67[/C][C]173.900133738561[/C][C]4.48185324134275[/C][/ROW]
[ROW][C]0.68[/C][C]175.001395421133[/C][C]4.36430948385253[/C][/ROW]
[ROW][C]0.69[/C][C]176.084999569452[/C][C]4.28818461501112[/C][/ROW]
[ROW][C]0.7[/C][C]177.155945540255[/C][C]4.2174602424448[/C][/ROW]
[ROW][C]0.71[/C][C]178.211431769137[/C][C]4.12122958636856[/C][/ROW]
[ROW][C]0.72[/C][C]179.242127110774[/C][C]3.97708521917969[/C][/ROW]
[ROW][C]0.73[/C][C]180.234286647610[/C][C]3.77235031630415[/C][/ROW]
[ROW][C]0.74[/C][C]181.172466269565[/C][C]3.5063393142792[/C][/ROW]
[ROW][C]0.75[/C][C]182.042556906605[/C][C]3.18939976020277[/C][/ROW]
[ROW][C]0.76[/C][C]182.834779432631[/C][C]2.84245007255093[/C][/ROW]
[ROW][C]0.77[/C][C]183.546170398623[/C][C]2.49443924213189[/C][/ROW]
[ROW][C]0.78[/C][C]184.182024217503[/C][C]2.17792700753576[/C][/ROW]
[ROW][C]0.79[/C][C]184.755845134910[/C][C]1.92401491026714[/C][/ROW]
[ROW][C]0.8[/C][C]185.287665621731[/C][C]1.75523213054575[/C][/ROW]
[ROW][C]0.81[/C][C]185.801053993517[/C][C]1.67944460961413[/C][/ROW]
[ROW][C]0.82[/C][C]186.319575173870[/C][C]1.68651659446012[/C][/ROW]
[ROW][C]0.83[/C][C]186.863636317980[/C][C]1.75412638191242[/C][/ROW]
[ROW][C]0.84[/C][C]187.448387055163[/C][C]1.85598338414997[/C][/ROW]
[ROW][C]0.85[/C][C]188.082739465061[/C][C]1.96825692309501[/C][/ROW]
[ROW][C]0.86[/C][C]188.769000969867[/C][C]2.07020554477253[/C][/ROW]
[ROW][C]0.87[/C][C]189.502581313360[/C][C]2.14226566180605[/C][/ROW]
[ROW][C]0.88[/C][C]190.272004384445[/C][C]2.16466734997524[/C][/ROW]
[ROW][C]0.89[/C][C]191.060641608652[/C][C]2.12296476936406[/C][/ROW]
[ROW][C]0.9[/C][C]191.852206148535[/C][C]2.02048868354277[/C][/ROW]
[ROW][C]0.91[/C][C]192.641248889441[/C][C]1.89079825952003[/C][/ROW]
[ROW][C]0.92[/C][C]193.44724262564[/C][C]1.80472529429025[/C][/ROW]
[ROW][C]0.93[/C][C]194.325099806882[/C][C]1.85774270772852[/C][/ROW]
[ROW][C]0.94[/C][C]195.356231897174[/C][C]2.1029863035631[/C][/ROW]
[ROW][C]0.95[/C][C]196.608909095734[/C][C]2.42653612867370[/C][/ROW]
[ROW][C]0.96[/C][C]198.116503629076[/C][C]2.57723375334752[/C][/ROW]
[ROW][C]0.97[/C][C]200.034072176594[/C][C]2.62315805015069[/C][/ROW]
[ROW][C]0.98[/C][C]203.053311755660[/C][C]3.53621750163884[/C][/ROW]
[ROW][C]0.99[/C][C]208.119029437854[/C][C]6.15148326786497[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78251&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78251&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
0.0163.59932743871720.841202144234912
0.0264.54315149417171.36167524248216
0.0365.71217192401271.96760919478659
0.0466.9986101602562.10587059939705
0.0568.19234724282061.87223527274425
0.0669.17337106734071.56497440870427
0.0769.95469592352141.37714244953171
0.0870.61531610094121.36629129333157
0.0971.2430412470351.53397034619249
0.171.91408912242831.87240020132982
0.1172.69099335228242.36765359080952
0.1273.62257124087392.99067053060239
0.1374.74142807738073.69381331802436
0.1476.06077213810094.41439375943272
0.1577.5737698270695.08938211506375
0.1679.25773171915245.67765828690871
0.1781.08305709219976.17678730363661
0.1883.02406845926396.62470716414568
0.1985.06721521008527.0814393073626
0.287.21280045422297.5957421148679
0.2189.46921534002178.17385378338755
0.2291.84216792446848.76766232007298
0.2394.32370725653959.2903525960011
0.2496.88582518977539.64726225603959
0.2599.48122495752749.76824019870706
0.26102.0507204141809.62835770127851
0.27104.5342214379309.25044777447936
0.28106.8813867630288.69555654529485
0.29109.0588563858958.04293008839125
0.3111.0527925419667.37139611437026
0.31112.8672759655396.74518478804444
0.32114.5201978874276.20858399354313
0.33116.0384491530265.78774057026872
0.34117.4536791500595.49490795111036
0.35118.7991235867215.33344208620796
0.36120.107372627585.30021738738143
0.37121.4086657514945.38507091273765
0.38122.7293504407825.56997533849331
0.39124.0903948873065.82874472724213
0.4125.5061329414056.12917414640149
0.41126.9836077027236.43778316280662
0.42128.5228945207576.7240628590744
0.43130.1186140469586.9684173858273
0.44131.7625365761567.16374830823155
0.45133.4468210554687.32105055105971
0.46135.1671444896247.46504393362591
0.47136.9248749011767.62812460936616
0.48138.7275922539547.84241552507298
0.49140.5876529767358.12660610948883
0.5142.5190197167108.47955929770643
0.51144.5330730707968.87681448256524
0.52146.6344223202939.27493180262918
0.53148.8177411065019.62160260013443
0.54151.0663800286719.86416838242185
0.55153.353056124529.95827295136466
0.56155.6424410727029.87803531335903
0.57157.8951011809459.61600841792715
0.58160.0720544557699.18562656672555
0.59162.1391998529298.6175296455362
0.6164.0709865863897.9562737029579
0.61165.852862285437.25332959471081
0.62167.4822260837076.56153976518553
0.63168.9678063303475.92938659785395
0.64170.3275872511615.39316660300086
0.65171.5856171953604.97431974293412
0.66172.7682085106874.67553431160748
0.67173.9001337385614.48185324134275
0.68175.0013954211334.36430948385253
0.69176.0849995694524.28818461501112
0.7177.1559455402554.2174602424448
0.71178.2114317691374.12122958636856
0.72179.2421271107743.97708521917969
0.73180.2342866476103.77235031630415
0.74181.1724662695653.5063393142792
0.75182.0425569066053.18939976020277
0.76182.8347794326312.84245007255093
0.77183.5461703986232.49443924213189
0.78184.1820242175032.17792700753576
0.79184.7558451349101.92401491026714
0.8185.2876656217311.75523213054575
0.81185.8010539935171.67944460961413
0.82186.3195751738701.68651659446012
0.83186.8636363179801.75412638191242
0.84187.4483870551631.85598338414997
0.85188.0827394650611.96825692309501
0.86188.7690009698672.07020554477253
0.87189.5025813133602.14226566180605
0.88190.2720043844452.16466734997524
0.89191.0606416086522.12296476936406
0.9191.8522061485352.02048868354277
0.91192.6412488894411.89079825952003
0.92193.447242625641.80472529429025
0.93194.3250998068821.85774270772852
0.94195.3562318971742.1029863035631
0.95196.6089090957342.42653612867370
0.96198.1165036290762.57723375334752
0.97200.0340721765942.62315805015069
0.98203.0533117556603.53621750163884
0.99208.1190294378546.15148326786497


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')