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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, 17 Aug 2010 09:00:37 +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/17/t1282035961tm02y3r9oc3ky2w.htm/, Retrieved Sat, 27 Apr 2024 08:42:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79065, Retrieved Sat, 27 Apr 2024 08:42:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsMagali De Reu
Estimated Impact152

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] [Tijdreeks 2 stap 7] [2010-08-17 09:00:37] [07915b1f88a41fb8d82e27c5eaa7bbed] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
120
119
118
116
114
113
114
116
117
117
118
120
123
125
120
116
111
108
113
112
126
124
124
118
119
122
114
108
104
101
107
104
123
125
134
131
127
124
123
117
112
118
123
124
144
148
152
154
146
132
136
128
120
124
126
121
140
142
142
139
131
117
122
112
98
103
108
102
126
129
126
126
112
99
106
104
90
98
99
91
118
115
119
123

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' @ 72.249.76.132

\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' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79065&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' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79065&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79065&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' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0191.02358388194552.50283209107228
0.0292.9245260260623.62078972066243
0.0395.03314132035033.40153614538738
0.0496.83311190358742.62613935554474
0.0598.19802809747982.08598074589795
0.0699.24270608452571.95595848567091
0.07100.1208979466802.02787016042667
0.08100.9297948916672.11742207849039
0.09101.7068569191112.16229223401819
0.1102.4585695048432.17219907011095
0.11103.184560837932.18088620687083
0.12103.8881614659912.21599364641652
0.13104.5770775785862.28454618396126
0.14105.2599722284152.37558328780205
0.15105.9429807041852.46991822827183
0.16106.6278912174442.54909395526613
0.17107.3120913969982.5999813425545
0.18107.9896400399252.61449883390802
0.19108.6527630996322.58908304316428
0.2109.2933276648812.52439044697174
0.21109.9041067815202.42537892805499
0.22110.4797700416042.30144883504492
0.23111.0175402599342.16538173991579
0.24111.5174384563172.03146057674530
0.25111.9820701742741.91254892212161
0.26112.4159939430071.81728372709794
0.27112.8248145171011.74878062774256
0.28113.2142070221831.7044251916009
0.29113.5890760831311.67777010584953
0.3113.9529940769421.66043748857506
0.31114.3079751290841.64441793241879
0.32114.6545594124941.62303910612506
0.33114.9921270980991.59216827961422
0.34115.3193387430031.54997272082747
0.35115.6346033437471.49698137383744
0.36115.9364964162501.43544236014949
0.37116.2240784792301.36904465762889
0.38116.4970920999941.30212835745742
0.39116.7560388545781.2387143682552
0.4117.0021539149901.18287161394122
0.41117.2373048891321.13752599555494
0.42117.4638437589391.10493548763116
0.43117.6844380650471.08643311648578
0.44117.9019020399571.08237654345651
0.45118.1190420205131.09234189411411
0.46118.3385241912541.11512021332561
0.47118.5627668138291.14903673340531
0.48118.7938537075511.19212047420724
0.49119.0334614534901.24205959501041
0.5119.2827908803161.29637949734309
0.51119.5424953646771.35243440726168
0.52119.8126050917921.40678825754668
0.53120.0924566777631.45597308238631
0.54120.3806483812381.49575571629578
0.55120.6750480969141.52228075019283
0.56120.9728802836951.53202392084946
0.57121.2709070068661.52298518823414
0.58121.5656989426111.49429131198963
0.59121.8539695126531.44764209547971
0.6122.1329261403711.3863551138787
0.61122.4005831316561.31571087445577
0.62122.6559840472781.24172822732517
0.63122.8992967014981.17088892784113
0.64123.1317667328961.10894949699181
0.65123.3555403846571.06045223147046
0.66123.5733891194411.02805598710678
0.67123.7883857823811.01215266267202
0.68124.0035938708291.01156816874129
0.69124.2218375534731.02352088447491
0.7124.4456176492071.04491256768731
0.71124.6772225695241.07324108756983
0.72124.9190481287211.10827703809218
0.73125.1740861258931.15261417597743
0.74125.4464786350081.21256596712106
0.75125.7419840663741.29656712163598
0.76126.0681892191361.41384278708205
0.77126.4343496708811.57074816019336
0.78126.8508491051171.76857774992945
0.79127.3284054356872.00288563680428
0.8127.8772576578562.265044216777
0.81128.5065734702862.54519547774257
0.82129.2241831584352.83437942276751
0.83130.0364969631513.12630810454012
0.84130.9482153503633.41557476142634
0.85131.9613706475423.69349816888336
0.86133.0735028316973.9430476111981
0.87134.2753959124334.13649437830813
0.88135.5495763474094.24005713218024
0.89136.8712596003184.22505265822493
0.9138.2131127975334.08399371223096
0.91139.5538334364603.8431374657703
0.92140.8885237442183.56513421145448
0.93142.2372545745503.33304305603909
0.94143.6480028842813.21814215092475
0.95145.1904826777043.24568960654566
0.96146.9354085783163.37637914432844
0.97148.9085561124003.46759722706717
0.98151.0073539399033.23778087071325
0.99152.8928575054822.54787330574772

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 91.0235838819455 & 2.50283209107228 \tabularnewline
0.02 & 92.924526026062 & 3.62078972066243 \tabularnewline
0.03 & 95.0331413203503 & 3.40153614538738 \tabularnewline
0.04 & 96.8331119035874 & 2.62613935554474 \tabularnewline
0.05 & 98.1980280974798 & 2.08598074589795 \tabularnewline
0.06 & 99.2427060845257 & 1.95595848567091 \tabularnewline
0.07 & 100.120897946680 & 2.02787016042667 \tabularnewline
0.08 & 100.929794891667 & 2.11742207849039 \tabularnewline
0.09 & 101.706856919111 & 2.16229223401819 \tabularnewline
0.1 & 102.458569504843 & 2.17219907011095 \tabularnewline
0.11 & 103.18456083793 & 2.18088620687083 \tabularnewline
0.12 & 103.888161465991 & 2.21599364641652 \tabularnewline
0.13 & 104.577077578586 & 2.28454618396126 \tabularnewline
0.14 & 105.259972228415 & 2.37558328780205 \tabularnewline
0.15 & 105.942980704185 & 2.46991822827183 \tabularnewline
0.16 & 106.627891217444 & 2.54909395526613 \tabularnewline
0.17 & 107.312091396998 & 2.5999813425545 \tabularnewline
0.18 & 107.989640039925 & 2.61449883390802 \tabularnewline
0.19 & 108.652763099632 & 2.58908304316428 \tabularnewline
0.2 & 109.293327664881 & 2.52439044697174 \tabularnewline
0.21 & 109.904106781520 & 2.42537892805499 \tabularnewline
0.22 & 110.479770041604 & 2.30144883504492 \tabularnewline
0.23 & 111.017540259934 & 2.16538173991579 \tabularnewline
0.24 & 111.517438456317 & 2.03146057674530 \tabularnewline
0.25 & 111.982070174274 & 1.91254892212161 \tabularnewline
0.26 & 112.415993943007 & 1.81728372709794 \tabularnewline
0.27 & 112.824814517101 & 1.74878062774256 \tabularnewline
0.28 & 113.214207022183 & 1.7044251916009 \tabularnewline
0.29 & 113.589076083131 & 1.67777010584953 \tabularnewline
0.3 & 113.952994076942 & 1.66043748857506 \tabularnewline
0.31 & 114.307975129084 & 1.64441793241879 \tabularnewline
0.32 & 114.654559412494 & 1.62303910612506 \tabularnewline
0.33 & 114.992127098099 & 1.59216827961422 \tabularnewline
0.34 & 115.319338743003 & 1.54997272082747 \tabularnewline
0.35 & 115.634603343747 & 1.49698137383744 \tabularnewline
0.36 & 115.936496416250 & 1.43544236014949 \tabularnewline
0.37 & 116.224078479230 & 1.36904465762889 \tabularnewline
0.38 & 116.497092099994 & 1.30212835745742 \tabularnewline
0.39 & 116.756038854578 & 1.2387143682552 \tabularnewline
0.4 & 117.002153914990 & 1.18287161394122 \tabularnewline
0.41 & 117.237304889132 & 1.13752599555494 \tabularnewline
0.42 & 117.463843758939 & 1.10493548763116 \tabularnewline
0.43 & 117.684438065047 & 1.08643311648578 \tabularnewline
0.44 & 117.901902039957 & 1.08237654345651 \tabularnewline
0.45 & 118.119042020513 & 1.09234189411411 \tabularnewline
0.46 & 118.338524191254 & 1.11512021332561 \tabularnewline
0.47 & 118.562766813829 & 1.14903673340531 \tabularnewline
0.48 & 118.793853707551 & 1.19212047420724 \tabularnewline
0.49 & 119.033461453490 & 1.24205959501041 \tabularnewline
0.5 & 119.282790880316 & 1.29637949734309 \tabularnewline
0.51 & 119.542495364677 & 1.35243440726168 \tabularnewline
0.52 & 119.812605091792 & 1.40678825754668 \tabularnewline
0.53 & 120.092456677763 & 1.45597308238631 \tabularnewline
0.54 & 120.380648381238 & 1.49575571629578 \tabularnewline
0.55 & 120.675048096914 & 1.52228075019283 \tabularnewline
0.56 & 120.972880283695 & 1.53202392084946 \tabularnewline
0.57 & 121.270907006866 & 1.52298518823414 \tabularnewline
0.58 & 121.565698942611 & 1.49429131198963 \tabularnewline
0.59 & 121.853969512653 & 1.44764209547971 \tabularnewline
0.6 & 122.132926140371 & 1.3863551138787 \tabularnewline
0.61 & 122.400583131656 & 1.31571087445577 \tabularnewline
0.62 & 122.655984047278 & 1.24172822732517 \tabularnewline
0.63 & 122.899296701498 & 1.17088892784113 \tabularnewline
0.64 & 123.131766732896 & 1.10894949699181 \tabularnewline
0.65 & 123.355540384657 & 1.06045223147046 \tabularnewline
0.66 & 123.573389119441 & 1.02805598710678 \tabularnewline
0.67 & 123.788385782381 & 1.01215266267202 \tabularnewline
0.68 & 124.003593870829 & 1.01156816874129 \tabularnewline
0.69 & 124.221837553473 & 1.02352088447491 \tabularnewline
0.7 & 124.445617649207 & 1.04491256768731 \tabularnewline
0.71 & 124.677222569524 & 1.07324108756983 \tabularnewline
0.72 & 124.919048128721 & 1.10827703809218 \tabularnewline
0.73 & 125.174086125893 & 1.15261417597743 \tabularnewline
0.74 & 125.446478635008 & 1.21256596712106 \tabularnewline
0.75 & 125.741984066374 & 1.29656712163598 \tabularnewline
0.76 & 126.068189219136 & 1.41384278708205 \tabularnewline
0.77 & 126.434349670881 & 1.57074816019336 \tabularnewline
0.78 & 126.850849105117 & 1.76857774992945 \tabularnewline
0.79 & 127.328405435687 & 2.00288563680428 \tabularnewline
0.8 & 127.877257657856 & 2.265044216777 \tabularnewline
0.81 & 128.506573470286 & 2.54519547774257 \tabularnewline
0.82 & 129.224183158435 & 2.83437942276751 \tabularnewline
0.83 & 130.036496963151 & 3.12630810454012 \tabularnewline
0.84 & 130.948215350363 & 3.41557476142634 \tabularnewline
0.85 & 131.961370647542 & 3.69349816888336 \tabularnewline
0.86 & 133.073502831697 & 3.9430476111981 \tabularnewline
0.87 & 134.275395912433 & 4.13649437830813 \tabularnewline
0.88 & 135.549576347409 & 4.24005713218024 \tabularnewline
0.89 & 136.871259600318 & 4.22505265822493 \tabularnewline
0.9 & 138.213112797533 & 4.08399371223096 \tabularnewline
0.91 & 139.553833436460 & 3.8431374657703 \tabularnewline
0.92 & 140.888523744218 & 3.56513421145448 \tabularnewline
0.93 & 142.237254574550 & 3.33304305603909 \tabularnewline
0.94 & 143.648002884281 & 3.21814215092475 \tabularnewline
0.95 & 145.190482677704 & 3.24568960654566 \tabularnewline
0.96 & 146.935408578316 & 3.37637914432844 \tabularnewline
0.97 & 148.908556112400 & 3.46759722706717 \tabularnewline
0.98 & 151.007353939903 & 3.23778087071325 \tabularnewline
0.99 & 152.892857505482 & 2.54787330574772 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79065&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]91.0235838819455[/C][C]2.50283209107228[/C][/ROW]
[ROW][C]0.02[/C][C]92.924526026062[/C][C]3.62078972066243[/C][/ROW]
[ROW][C]0.03[/C][C]95.0331413203503[/C][C]3.40153614538738[/C][/ROW]
[ROW][C]0.04[/C][C]96.8331119035874[/C][C]2.62613935554474[/C][/ROW]
[ROW][C]0.05[/C][C]98.1980280974798[/C][C]2.08598074589795[/C][/ROW]
[ROW][C]0.06[/C][C]99.2427060845257[/C][C]1.95595848567091[/C][/ROW]
[ROW][C]0.07[/C][C]100.120897946680[/C][C]2.02787016042667[/C][/ROW]
[ROW][C]0.08[/C][C]100.929794891667[/C][C]2.11742207849039[/C][/ROW]
[ROW][C]0.09[/C][C]101.706856919111[/C][C]2.16229223401819[/C][/ROW]
[ROW][C]0.1[/C][C]102.458569504843[/C][C]2.17219907011095[/C][/ROW]
[ROW][C]0.11[/C][C]103.18456083793[/C][C]2.18088620687083[/C][/ROW]
[ROW][C]0.12[/C][C]103.888161465991[/C][C]2.21599364641652[/C][/ROW]
[ROW][C]0.13[/C][C]104.577077578586[/C][C]2.28454618396126[/C][/ROW]
[ROW][C]0.14[/C][C]105.259972228415[/C][C]2.37558328780205[/C][/ROW]
[ROW][C]0.15[/C][C]105.942980704185[/C][C]2.46991822827183[/C][/ROW]
[ROW][C]0.16[/C][C]106.627891217444[/C][C]2.54909395526613[/C][/ROW]
[ROW][C]0.17[/C][C]107.312091396998[/C][C]2.5999813425545[/C][/ROW]
[ROW][C]0.18[/C][C]107.989640039925[/C][C]2.61449883390802[/C][/ROW]
[ROW][C]0.19[/C][C]108.652763099632[/C][C]2.58908304316428[/C][/ROW]
[ROW][C]0.2[/C][C]109.293327664881[/C][C]2.52439044697174[/C][/ROW]
[ROW][C]0.21[/C][C]109.904106781520[/C][C]2.42537892805499[/C][/ROW]
[ROW][C]0.22[/C][C]110.479770041604[/C][C]2.30144883504492[/C][/ROW]
[ROW][C]0.23[/C][C]111.017540259934[/C][C]2.16538173991579[/C][/ROW]
[ROW][C]0.24[/C][C]111.517438456317[/C][C]2.03146057674530[/C][/ROW]
[ROW][C]0.25[/C][C]111.982070174274[/C][C]1.91254892212161[/C][/ROW]
[ROW][C]0.26[/C][C]112.415993943007[/C][C]1.81728372709794[/C][/ROW]
[ROW][C]0.27[/C][C]112.824814517101[/C][C]1.74878062774256[/C][/ROW]
[ROW][C]0.28[/C][C]113.214207022183[/C][C]1.7044251916009[/C][/ROW]
[ROW][C]0.29[/C][C]113.589076083131[/C][C]1.67777010584953[/C][/ROW]
[ROW][C]0.3[/C][C]113.952994076942[/C][C]1.66043748857506[/C][/ROW]
[ROW][C]0.31[/C][C]114.307975129084[/C][C]1.64441793241879[/C][/ROW]
[ROW][C]0.32[/C][C]114.654559412494[/C][C]1.62303910612506[/C][/ROW]
[ROW][C]0.33[/C][C]114.992127098099[/C][C]1.59216827961422[/C][/ROW]
[ROW][C]0.34[/C][C]115.319338743003[/C][C]1.54997272082747[/C][/ROW]
[ROW][C]0.35[/C][C]115.634603343747[/C][C]1.49698137383744[/C][/ROW]
[ROW][C]0.36[/C][C]115.936496416250[/C][C]1.43544236014949[/C][/ROW]
[ROW][C]0.37[/C][C]116.224078479230[/C][C]1.36904465762889[/C][/ROW]
[ROW][C]0.38[/C][C]116.497092099994[/C][C]1.30212835745742[/C][/ROW]
[ROW][C]0.39[/C][C]116.756038854578[/C][C]1.2387143682552[/C][/ROW]
[ROW][C]0.4[/C][C]117.002153914990[/C][C]1.18287161394122[/C][/ROW]
[ROW][C]0.41[/C][C]117.237304889132[/C][C]1.13752599555494[/C][/ROW]
[ROW][C]0.42[/C][C]117.463843758939[/C][C]1.10493548763116[/C][/ROW]
[ROW][C]0.43[/C][C]117.684438065047[/C][C]1.08643311648578[/C][/ROW]
[ROW][C]0.44[/C][C]117.901902039957[/C][C]1.08237654345651[/C][/ROW]
[ROW][C]0.45[/C][C]118.119042020513[/C][C]1.09234189411411[/C][/ROW]
[ROW][C]0.46[/C][C]118.338524191254[/C][C]1.11512021332561[/C][/ROW]
[ROW][C]0.47[/C][C]118.562766813829[/C][C]1.14903673340531[/C][/ROW]
[ROW][C]0.48[/C][C]118.793853707551[/C][C]1.19212047420724[/C][/ROW]
[ROW][C]0.49[/C][C]119.033461453490[/C][C]1.24205959501041[/C][/ROW]
[ROW][C]0.5[/C][C]119.282790880316[/C][C]1.29637949734309[/C][/ROW]
[ROW][C]0.51[/C][C]119.542495364677[/C][C]1.35243440726168[/C][/ROW]
[ROW][C]0.52[/C][C]119.812605091792[/C][C]1.40678825754668[/C][/ROW]
[ROW][C]0.53[/C][C]120.092456677763[/C][C]1.45597308238631[/C][/ROW]
[ROW][C]0.54[/C][C]120.380648381238[/C][C]1.49575571629578[/C][/ROW]
[ROW][C]0.55[/C][C]120.675048096914[/C][C]1.52228075019283[/C][/ROW]
[ROW][C]0.56[/C][C]120.972880283695[/C][C]1.53202392084946[/C][/ROW]
[ROW][C]0.57[/C][C]121.270907006866[/C][C]1.52298518823414[/C][/ROW]
[ROW][C]0.58[/C][C]121.565698942611[/C][C]1.49429131198963[/C][/ROW]
[ROW][C]0.59[/C][C]121.853969512653[/C][C]1.44764209547971[/C][/ROW]
[ROW][C]0.6[/C][C]122.132926140371[/C][C]1.3863551138787[/C][/ROW]
[ROW][C]0.61[/C][C]122.400583131656[/C][C]1.31571087445577[/C][/ROW]
[ROW][C]0.62[/C][C]122.655984047278[/C][C]1.24172822732517[/C][/ROW]
[ROW][C]0.63[/C][C]122.899296701498[/C][C]1.17088892784113[/C][/ROW]
[ROW][C]0.64[/C][C]123.131766732896[/C][C]1.10894949699181[/C][/ROW]
[ROW][C]0.65[/C][C]123.355540384657[/C][C]1.06045223147046[/C][/ROW]
[ROW][C]0.66[/C][C]123.573389119441[/C][C]1.02805598710678[/C][/ROW]
[ROW][C]0.67[/C][C]123.788385782381[/C][C]1.01215266267202[/C][/ROW]
[ROW][C]0.68[/C][C]124.003593870829[/C][C]1.01156816874129[/C][/ROW]
[ROW][C]0.69[/C][C]124.221837553473[/C][C]1.02352088447491[/C][/ROW]
[ROW][C]0.7[/C][C]124.445617649207[/C][C]1.04491256768731[/C][/ROW]
[ROW][C]0.71[/C][C]124.677222569524[/C][C]1.07324108756983[/C][/ROW]
[ROW][C]0.72[/C][C]124.919048128721[/C][C]1.10827703809218[/C][/ROW]
[ROW][C]0.73[/C][C]125.174086125893[/C][C]1.15261417597743[/C][/ROW]
[ROW][C]0.74[/C][C]125.446478635008[/C][C]1.21256596712106[/C][/ROW]
[ROW][C]0.75[/C][C]125.741984066374[/C][C]1.29656712163598[/C][/ROW]
[ROW][C]0.76[/C][C]126.068189219136[/C][C]1.41384278708205[/C][/ROW]
[ROW][C]0.77[/C][C]126.434349670881[/C][C]1.57074816019336[/C][/ROW]
[ROW][C]0.78[/C][C]126.850849105117[/C][C]1.76857774992945[/C][/ROW]
[ROW][C]0.79[/C][C]127.328405435687[/C][C]2.00288563680428[/C][/ROW]
[ROW][C]0.8[/C][C]127.877257657856[/C][C]2.265044216777[/C][/ROW]
[ROW][C]0.81[/C][C]128.506573470286[/C][C]2.54519547774257[/C][/ROW]
[ROW][C]0.82[/C][C]129.224183158435[/C][C]2.83437942276751[/C][/ROW]
[ROW][C]0.83[/C][C]130.036496963151[/C][C]3.12630810454012[/C][/ROW]
[ROW][C]0.84[/C][C]130.948215350363[/C][C]3.41557476142634[/C][/ROW]
[ROW][C]0.85[/C][C]131.961370647542[/C][C]3.69349816888336[/C][/ROW]
[ROW][C]0.86[/C][C]133.073502831697[/C][C]3.9430476111981[/C][/ROW]
[ROW][C]0.87[/C][C]134.275395912433[/C][C]4.13649437830813[/C][/ROW]
[ROW][C]0.88[/C][C]135.549576347409[/C][C]4.24005713218024[/C][/ROW]
[ROW][C]0.89[/C][C]136.871259600318[/C][C]4.22505265822493[/C][/ROW]
[ROW][C]0.9[/C][C]138.213112797533[/C][C]4.08399371223096[/C][/ROW]
[ROW][C]0.91[/C][C]139.553833436460[/C][C]3.8431374657703[/C][/ROW]
[ROW][C]0.92[/C][C]140.888523744218[/C][C]3.56513421145448[/C][/ROW]
[ROW][C]0.93[/C][C]142.237254574550[/C][C]3.33304305603909[/C][/ROW]
[ROW][C]0.94[/C][C]143.648002884281[/C][C]3.21814215092475[/C][/ROW]
[ROW][C]0.95[/C][C]145.190482677704[/C][C]3.24568960654566[/C][/ROW]
[ROW][C]0.96[/C][C]146.935408578316[/C][C]3.37637914432844[/C][/ROW]
[ROW][C]0.97[/C][C]148.908556112400[/C][C]3.46759722706717[/C][/ROW]
[ROW][C]0.98[/C][C]151.007353939903[/C][C]3.23778087071325[/C][/ROW]
[ROW][C]0.99[/C][C]152.892857505482[/C][C]2.54787330574772[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79065&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79065&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
0.0191.02358388194552.50283209107228
0.0292.9245260260623.62078972066243
0.0395.03314132035033.40153614538738
0.0496.83311190358742.62613935554474
0.0598.19802809747982.08598074589795
0.0699.24270608452571.95595848567091
0.07100.1208979466802.02787016042667
0.08100.9297948916672.11742207849039
0.09101.7068569191112.16229223401819
0.1102.4585695048432.17219907011095
0.11103.184560837932.18088620687083
0.12103.8881614659912.21599364641652
0.13104.5770775785862.28454618396126
0.14105.2599722284152.37558328780205
0.15105.9429807041852.46991822827183
0.16106.6278912174442.54909395526613
0.17107.3120913969982.5999813425545
0.18107.9896400399252.61449883390802
0.19108.6527630996322.58908304316428
0.2109.2933276648812.52439044697174
0.21109.9041067815202.42537892805499
0.22110.4797700416042.30144883504492
0.23111.0175402599342.16538173991579
0.24111.5174384563172.03146057674530
0.25111.9820701742741.91254892212161
0.26112.4159939430071.81728372709794
0.27112.8248145171011.74878062774256
0.28113.2142070221831.7044251916009
0.29113.5890760831311.67777010584953
0.3113.9529940769421.66043748857506
0.31114.3079751290841.64441793241879
0.32114.6545594124941.62303910612506
0.33114.9921270980991.59216827961422
0.34115.3193387430031.54997272082747
0.35115.6346033437471.49698137383744
0.36115.9364964162501.43544236014949
0.37116.2240784792301.36904465762889
0.38116.4970920999941.30212835745742
0.39116.7560388545781.2387143682552
0.4117.0021539149901.18287161394122
0.41117.2373048891321.13752599555494
0.42117.4638437589391.10493548763116
0.43117.6844380650471.08643311648578
0.44117.9019020399571.08237654345651
0.45118.1190420205131.09234189411411
0.46118.3385241912541.11512021332561
0.47118.5627668138291.14903673340531
0.48118.7938537075511.19212047420724
0.49119.0334614534901.24205959501041
0.5119.2827908803161.29637949734309
0.51119.5424953646771.35243440726168
0.52119.8126050917921.40678825754668
0.53120.0924566777631.45597308238631
0.54120.3806483812381.49575571629578
0.55120.6750480969141.52228075019283
0.56120.9728802836951.53202392084946
0.57121.2709070068661.52298518823414
0.58121.5656989426111.49429131198963
0.59121.8539695126531.44764209547971
0.6122.1329261403711.3863551138787
0.61122.4005831316561.31571087445577
0.62122.6559840472781.24172822732517
0.63122.8992967014981.17088892784113
0.64123.1317667328961.10894949699181
0.65123.3555403846571.06045223147046
0.66123.5733891194411.02805598710678
0.67123.7883857823811.01215266267202
0.68124.0035938708291.01156816874129
0.69124.2218375534731.02352088447491
0.7124.4456176492071.04491256768731
0.71124.6772225695241.07324108756983
0.72124.9190481287211.10827703809218
0.73125.1740861258931.15261417597743
0.74125.4464786350081.21256596712106
0.75125.7419840663741.29656712163598
0.76126.0681892191361.41384278708205
0.77126.4343496708811.57074816019336
0.78126.8508491051171.76857774992945
0.79127.3284054356872.00288563680428
0.8127.8772576578562.265044216777
0.81128.5065734702862.54519547774257
0.82129.2241831584352.83437942276751
0.83130.0364969631513.12630810454012
0.84130.9482153503633.41557476142634
0.85131.9613706475423.69349816888336
0.86133.0735028316973.9430476111981
0.87134.2753959124334.13649437830813
0.88135.5495763474094.24005713218024
0.89136.8712596003184.22505265822493
0.9138.2131127975334.08399371223096
0.91139.5538334364603.8431374657703
0.92140.8885237442183.56513421145448
0.93142.2372545745503.33304305603909
0.94143.6480028842813.21814215092475
0.95145.1904826777043.24568960654566
0.96146.9354085783163.37637914432844
0.97148.9085561124003.46759722706717
0.98151.0073539399033.23778087071325
0.99152.8928575054822.54787330574772


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')