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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, 27 Jul 2010 08:22:51 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Jul/27/t1280219041f1tvqorcdgibxb1.htm/, Retrieved Sat, 04 May 2024 03:58:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78130, Retrieved Sat, 04 May 2024 03:58:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPatrick Fieremans
Estimated Impact224

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 1 - Sta...] [2010-07-27 08:22:51] [c9c054077df6495a4b48ba74c2b1bb38] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
136
135
134
132
152
151
136
126
127
127
128
130
125
118
111
104
126
131
122
116
115
115
113
122
114
106
93
89
114
122
115
116
120
120
120
121
118
112
99
96
120
135
128
134
134
132
130
125
124
114
101
101
123
143
133
136
137
135
141
136
133
124
110
104
130
160
142
142
137
135
139
135
134
120
103
101
127
159
141
140
135
127
130
128
126
110
101
102
129
169
146
145
138
123
124
137
132
112
105
106
137
175
151
142
140
122
127
135
128
117
107
108
134
171
154
146
148
122
124
135

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78130&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78130&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78130&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0191.63363036690993.62586646629705
0.0295.05766177500913.38467432353621
0.0397.735380694342.7431842593601
0.0499.5333905859071.93638016431552
0.05100.6965818486151.44739375541268
0.06101.5334541028151.41780251529367
0.07102.2793010972311.62927757886768
0.08103.0488643179951.87369108477168
0.09103.8701785832842.08621975915668
0.1104.7370615957082.27620200446774
0.11105.6397759174632.46039664838812
0.12106.5712293087322.63093857635162
0.13107.5223378985532.76151082920568
0.14108.4781423742942.82558292802616
0.15109.4187300135682.81168123009890
0.16110.323626597152.72744510734131
0.17111.1766869522472.59490472396543
0.18111.9693246077602.44259965893466
0.19112.7014125429652.29883215612350
0.2113.3802334147792.18681244123393
0.21114.0181930647912.12181828353532
0.22114.6299287251332.10851088015443
0.23115.2293194909722.13911979694707
0.24115.8268891239092.19597306499650
0.25116.4280911358242.25645883400277
0.26117.0328365563202.29882745385945
0.27117.6363249623802.30741261540622
0.28118.2308701935372.27646241408377
0.29118.8081391649702.20928711592132
0.3119.3611658172992.11625635958253
0.31119.8856710089012.01114678214603
0.32120.3805160610841.90739567799932
0.33120.8474037118381.81541830104638
0.34121.2901098442861.74166723101725
0.35121.7135536380881.68874787750219
0.36122.1229341284701.65621833897899
0.37122.5230483170101.64107664067577
0.38122.9178168121141.63858840488981
0.39123.309999459051.64408373688969
0.4123.7010775670991.65151869294792
0.41124.0912906563391.65572113282957
0.42124.4798256695731.65297362344431
0.43124.8651544263641.64081450101125
0.44125.2454971587721.61898257338911
0.45125.6193593544381.58988277832650
0.46125.9860557939161.55837968328915
0.47126.3461147492331.53103264903102
0.48126.7014614262961.51500090453046
0.49127.0553189591891.51607738018834
0.5127.4118297235871.53784509155078
0.51127.7754690169701.58001005776537
0.52128.1503727170061.63890843370659
0.53128.5397129498021.70874644859573
0.54128.9452288856571.78142338146736
0.55129.3669673222321.84904859240482
0.56129.8032325109601.90453342409866
0.57130.2507074537671.94127646693591
0.58130.7046987746261.95477267349295
0.59131.1594686874091.94108444447702
0.6131.6086350723501.89875862206814
0.61132.0456287902951.82805749822886
0.62132.4641899658271.73123272045913
0.63132.8588683010611.61318478286133
0.64133.2254800179511.48006435072147
0.65133.5614762938591.33936891743545
0.66133.8661943724911.19973484144868
0.67134.1409811247171.06909430964641
0.68134.3891863726310.955621900226586
0.69134.6160175470610.866525676772052
0.7134.8282424118550.807681281863301
0.71135.0337442219380.783098667310035
0.72135.2409827174440.7930841512663
0.73135.4584742480140.835684119036457
0.74135.6944277448660.906238093736713
0.75135.9566142384961.00126398535568
0.76136.2524025854561.11821870469036
0.77136.5887286020231.25522904467290
0.78136.9716990228021.40879257753969
0.79137.4056763433221.57064200590568
0.8137.8920580769531.72681106695688
0.81138.4284078479701.86042554407373
0.82139.0088365504761.95800374732335
0.83139.6262910414262.01691338775919
0.84140.276605929492.05130960329264
0.85140.9630822742572.09181528520982
0.86141.6995675454222.17652103204809
0.87142.5101416123782.33346131837699
0.88143.4247577139172.56492717814380
0.89144.4721261284792.84558617117023
0.9145.6731871404633.13207316384394
0.91147.040490361783.38402768339603
0.92148.5898209030883.59416583368086
0.93150.3670566919863.82850149830902
0.94152.4820165707004.22677385958638
0.95155.1243723348404.90135992568635
0.96158.5157853723685.78727537318572
0.97162.7396588196116.43990413901795
0.98167.5090099981385.92959897370951
0.99172.0979131597334.31375285231502

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 91.6336303669099 & 3.62586646629705 \tabularnewline
0.02 & 95.0576617750091 & 3.38467432353621 \tabularnewline
0.03 & 97.73538069434 & 2.7431842593601 \tabularnewline
0.04 & 99.533390585907 & 1.93638016431552 \tabularnewline
0.05 & 100.696581848615 & 1.44739375541268 \tabularnewline
0.06 & 101.533454102815 & 1.41780251529367 \tabularnewline
0.07 & 102.279301097231 & 1.62927757886768 \tabularnewline
0.08 & 103.048864317995 & 1.87369108477168 \tabularnewline
0.09 & 103.870178583284 & 2.08621975915668 \tabularnewline
0.1 & 104.737061595708 & 2.27620200446774 \tabularnewline
0.11 & 105.639775917463 & 2.46039664838812 \tabularnewline
0.12 & 106.571229308732 & 2.63093857635162 \tabularnewline
0.13 & 107.522337898553 & 2.76151082920568 \tabularnewline
0.14 & 108.478142374294 & 2.82558292802616 \tabularnewline
0.15 & 109.418730013568 & 2.81168123009890 \tabularnewline
0.16 & 110.32362659715 & 2.72744510734131 \tabularnewline
0.17 & 111.176686952247 & 2.59490472396543 \tabularnewline
0.18 & 111.969324607760 & 2.44259965893466 \tabularnewline
0.19 & 112.701412542965 & 2.29883215612350 \tabularnewline
0.2 & 113.380233414779 & 2.18681244123393 \tabularnewline
0.21 & 114.018193064791 & 2.12181828353532 \tabularnewline
0.22 & 114.629928725133 & 2.10851088015443 \tabularnewline
0.23 & 115.229319490972 & 2.13911979694707 \tabularnewline
0.24 & 115.826889123909 & 2.19597306499650 \tabularnewline
0.25 & 116.428091135824 & 2.25645883400277 \tabularnewline
0.26 & 117.032836556320 & 2.29882745385945 \tabularnewline
0.27 & 117.636324962380 & 2.30741261540622 \tabularnewline
0.28 & 118.230870193537 & 2.27646241408377 \tabularnewline
0.29 & 118.808139164970 & 2.20928711592132 \tabularnewline
0.3 & 119.361165817299 & 2.11625635958253 \tabularnewline
0.31 & 119.885671008901 & 2.01114678214603 \tabularnewline
0.32 & 120.380516061084 & 1.90739567799932 \tabularnewline
0.33 & 120.847403711838 & 1.81541830104638 \tabularnewline
0.34 & 121.290109844286 & 1.74166723101725 \tabularnewline
0.35 & 121.713553638088 & 1.68874787750219 \tabularnewline
0.36 & 122.122934128470 & 1.65621833897899 \tabularnewline
0.37 & 122.523048317010 & 1.64107664067577 \tabularnewline
0.38 & 122.917816812114 & 1.63858840488981 \tabularnewline
0.39 & 123.30999945905 & 1.64408373688969 \tabularnewline
0.4 & 123.701077567099 & 1.65151869294792 \tabularnewline
0.41 & 124.091290656339 & 1.65572113282957 \tabularnewline
0.42 & 124.479825669573 & 1.65297362344431 \tabularnewline
0.43 & 124.865154426364 & 1.64081450101125 \tabularnewline
0.44 & 125.245497158772 & 1.61898257338911 \tabularnewline
0.45 & 125.619359354438 & 1.58988277832650 \tabularnewline
0.46 & 125.986055793916 & 1.55837968328915 \tabularnewline
0.47 & 126.346114749233 & 1.53103264903102 \tabularnewline
0.48 & 126.701461426296 & 1.51500090453046 \tabularnewline
0.49 & 127.055318959189 & 1.51607738018834 \tabularnewline
0.5 & 127.411829723587 & 1.53784509155078 \tabularnewline
0.51 & 127.775469016970 & 1.58001005776537 \tabularnewline
0.52 & 128.150372717006 & 1.63890843370659 \tabularnewline
0.53 & 128.539712949802 & 1.70874644859573 \tabularnewline
0.54 & 128.945228885657 & 1.78142338146736 \tabularnewline
0.55 & 129.366967322232 & 1.84904859240482 \tabularnewline
0.56 & 129.803232510960 & 1.90453342409866 \tabularnewline
0.57 & 130.250707453767 & 1.94127646693591 \tabularnewline
0.58 & 130.704698774626 & 1.95477267349295 \tabularnewline
0.59 & 131.159468687409 & 1.94108444447702 \tabularnewline
0.6 & 131.608635072350 & 1.89875862206814 \tabularnewline
0.61 & 132.045628790295 & 1.82805749822886 \tabularnewline
0.62 & 132.464189965827 & 1.73123272045913 \tabularnewline
0.63 & 132.858868301061 & 1.61318478286133 \tabularnewline
0.64 & 133.225480017951 & 1.48006435072147 \tabularnewline
0.65 & 133.561476293859 & 1.33936891743545 \tabularnewline
0.66 & 133.866194372491 & 1.19973484144868 \tabularnewline
0.67 & 134.140981124717 & 1.06909430964641 \tabularnewline
0.68 & 134.389186372631 & 0.955621900226586 \tabularnewline
0.69 & 134.616017547061 & 0.866525676772052 \tabularnewline
0.7 & 134.828242411855 & 0.807681281863301 \tabularnewline
0.71 & 135.033744221938 & 0.783098667310035 \tabularnewline
0.72 & 135.240982717444 & 0.7930841512663 \tabularnewline
0.73 & 135.458474248014 & 0.835684119036457 \tabularnewline
0.74 & 135.694427744866 & 0.906238093736713 \tabularnewline
0.75 & 135.956614238496 & 1.00126398535568 \tabularnewline
0.76 & 136.252402585456 & 1.11821870469036 \tabularnewline
0.77 & 136.588728602023 & 1.25522904467290 \tabularnewline
0.78 & 136.971699022802 & 1.40879257753969 \tabularnewline
0.79 & 137.405676343322 & 1.57064200590568 \tabularnewline
0.8 & 137.892058076953 & 1.72681106695688 \tabularnewline
0.81 & 138.428407847970 & 1.86042554407373 \tabularnewline
0.82 & 139.008836550476 & 1.95800374732335 \tabularnewline
0.83 & 139.626291041426 & 2.01691338775919 \tabularnewline
0.84 & 140.27660592949 & 2.05130960329264 \tabularnewline
0.85 & 140.963082274257 & 2.09181528520982 \tabularnewline
0.86 & 141.699567545422 & 2.17652103204809 \tabularnewline
0.87 & 142.510141612378 & 2.33346131837699 \tabularnewline
0.88 & 143.424757713917 & 2.56492717814380 \tabularnewline
0.89 & 144.472126128479 & 2.84558617117023 \tabularnewline
0.9 & 145.673187140463 & 3.13207316384394 \tabularnewline
0.91 & 147.04049036178 & 3.38402768339603 \tabularnewline
0.92 & 148.589820903088 & 3.59416583368086 \tabularnewline
0.93 & 150.367056691986 & 3.82850149830902 \tabularnewline
0.94 & 152.482016570700 & 4.22677385958638 \tabularnewline
0.95 & 155.124372334840 & 4.90135992568635 \tabularnewline
0.96 & 158.515785372368 & 5.78727537318572 \tabularnewline
0.97 & 162.739658819611 & 6.43990413901795 \tabularnewline
0.98 & 167.509009998138 & 5.92959897370951 \tabularnewline
0.99 & 172.097913159733 & 4.31375285231502 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78130&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]91.6336303669099[/C][C]3.62586646629705[/C][/ROW]
[ROW][C]0.02[/C][C]95.0576617750091[/C][C]3.38467432353621[/C][/ROW]
[ROW][C]0.03[/C][C]97.73538069434[/C][C]2.7431842593601[/C][/ROW]
[ROW][C]0.04[/C][C]99.533390585907[/C][C]1.93638016431552[/C][/ROW]
[ROW][C]0.05[/C][C]100.696581848615[/C][C]1.44739375541268[/C][/ROW]
[ROW][C]0.06[/C][C]101.533454102815[/C][C]1.41780251529367[/C][/ROW]
[ROW][C]0.07[/C][C]102.279301097231[/C][C]1.62927757886768[/C][/ROW]
[ROW][C]0.08[/C][C]103.048864317995[/C][C]1.87369108477168[/C][/ROW]
[ROW][C]0.09[/C][C]103.870178583284[/C][C]2.08621975915668[/C][/ROW]
[ROW][C]0.1[/C][C]104.737061595708[/C][C]2.27620200446774[/C][/ROW]
[ROW][C]0.11[/C][C]105.639775917463[/C][C]2.46039664838812[/C][/ROW]
[ROW][C]0.12[/C][C]106.571229308732[/C][C]2.63093857635162[/C][/ROW]
[ROW][C]0.13[/C][C]107.522337898553[/C][C]2.76151082920568[/C][/ROW]
[ROW][C]0.14[/C][C]108.478142374294[/C][C]2.82558292802616[/C][/ROW]
[ROW][C]0.15[/C][C]109.418730013568[/C][C]2.81168123009890[/C][/ROW]
[ROW][C]0.16[/C][C]110.32362659715[/C][C]2.72744510734131[/C][/ROW]
[ROW][C]0.17[/C][C]111.176686952247[/C][C]2.59490472396543[/C][/ROW]
[ROW][C]0.18[/C][C]111.969324607760[/C][C]2.44259965893466[/C][/ROW]
[ROW][C]0.19[/C][C]112.701412542965[/C][C]2.29883215612350[/C][/ROW]
[ROW][C]0.2[/C][C]113.380233414779[/C][C]2.18681244123393[/C][/ROW]
[ROW][C]0.21[/C][C]114.018193064791[/C][C]2.12181828353532[/C][/ROW]
[ROW][C]0.22[/C][C]114.629928725133[/C][C]2.10851088015443[/C][/ROW]
[ROW][C]0.23[/C][C]115.229319490972[/C][C]2.13911979694707[/C][/ROW]
[ROW][C]0.24[/C][C]115.826889123909[/C][C]2.19597306499650[/C][/ROW]
[ROW][C]0.25[/C][C]116.428091135824[/C][C]2.25645883400277[/C][/ROW]
[ROW][C]0.26[/C][C]117.032836556320[/C][C]2.29882745385945[/C][/ROW]
[ROW][C]0.27[/C][C]117.636324962380[/C][C]2.30741261540622[/C][/ROW]
[ROW][C]0.28[/C][C]118.230870193537[/C][C]2.27646241408377[/C][/ROW]
[ROW][C]0.29[/C][C]118.808139164970[/C][C]2.20928711592132[/C][/ROW]
[ROW][C]0.3[/C][C]119.361165817299[/C][C]2.11625635958253[/C][/ROW]
[ROW][C]0.31[/C][C]119.885671008901[/C][C]2.01114678214603[/C][/ROW]
[ROW][C]0.32[/C][C]120.380516061084[/C][C]1.90739567799932[/C][/ROW]
[ROW][C]0.33[/C][C]120.847403711838[/C][C]1.81541830104638[/C][/ROW]
[ROW][C]0.34[/C][C]121.290109844286[/C][C]1.74166723101725[/C][/ROW]
[ROW][C]0.35[/C][C]121.713553638088[/C][C]1.68874787750219[/C][/ROW]
[ROW][C]0.36[/C][C]122.122934128470[/C][C]1.65621833897899[/C][/ROW]
[ROW][C]0.37[/C][C]122.523048317010[/C][C]1.64107664067577[/C][/ROW]
[ROW][C]0.38[/C][C]122.917816812114[/C][C]1.63858840488981[/C][/ROW]
[ROW][C]0.39[/C][C]123.30999945905[/C][C]1.64408373688969[/C][/ROW]
[ROW][C]0.4[/C][C]123.701077567099[/C][C]1.65151869294792[/C][/ROW]
[ROW][C]0.41[/C][C]124.091290656339[/C][C]1.65572113282957[/C][/ROW]
[ROW][C]0.42[/C][C]124.479825669573[/C][C]1.65297362344431[/C][/ROW]
[ROW][C]0.43[/C][C]124.865154426364[/C][C]1.64081450101125[/C][/ROW]
[ROW][C]0.44[/C][C]125.245497158772[/C][C]1.61898257338911[/C][/ROW]
[ROW][C]0.45[/C][C]125.619359354438[/C][C]1.58988277832650[/C][/ROW]
[ROW][C]0.46[/C][C]125.986055793916[/C][C]1.55837968328915[/C][/ROW]
[ROW][C]0.47[/C][C]126.346114749233[/C][C]1.53103264903102[/C][/ROW]
[ROW][C]0.48[/C][C]126.701461426296[/C][C]1.51500090453046[/C][/ROW]
[ROW][C]0.49[/C][C]127.055318959189[/C][C]1.51607738018834[/C][/ROW]
[ROW][C]0.5[/C][C]127.411829723587[/C][C]1.53784509155078[/C][/ROW]
[ROW][C]0.51[/C][C]127.775469016970[/C][C]1.58001005776537[/C][/ROW]
[ROW][C]0.52[/C][C]128.150372717006[/C][C]1.63890843370659[/C][/ROW]
[ROW][C]0.53[/C][C]128.539712949802[/C][C]1.70874644859573[/C][/ROW]
[ROW][C]0.54[/C][C]128.945228885657[/C][C]1.78142338146736[/C][/ROW]
[ROW][C]0.55[/C][C]129.366967322232[/C][C]1.84904859240482[/C][/ROW]
[ROW][C]0.56[/C][C]129.803232510960[/C][C]1.90453342409866[/C][/ROW]
[ROW][C]0.57[/C][C]130.250707453767[/C][C]1.94127646693591[/C][/ROW]
[ROW][C]0.58[/C][C]130.704698774626[/C][C]1.95477267349295[/C][/ROW]
[ROW][C]0.59[/C][C]131.159468687409[/C][C]1.94108444447702[/C][/ROW]
[ROW][C]0.6[/C][C]131.608635072350[/C][C]1.89875862206814[/C][/ROW]
[ROW][C]0.61[/C][C]132.045628790295[/C][C]1.82805749822886[/C][/ROW]
[ROW][C]0.62[/C][C]132.464189965827[/C][C]1.73123272045913[/C][/ROW]
[ROW][C]0.63[/C][C]132.858868301061[/C][C]1.61318478286133[/C][/ROW]
[ROW][C]0.64[/C][C]133.225480017951[/C][C]1.48006435072147[/C][/ROW]
[ROW][C]0.65[/C][C]133.561476293859[/C][C]1.33936891743545[/C][/ROW]
[ROW][C]0.66[/C][C]133.866194372491[/C][C]1.19973484144868[/C][/ROW]
[ROW][C]0.67[/C][C]134.140981124717[/C][C]1.06909430964641[/C][/ROW]
[ROW][C]0.68[/C][C]134.389186372631[/C][C]0.955621900226586[/C][/ROW]
[ROW][C]0.69[/C][C]134.616017547061[/C][C]0.866525676772052[/C][/ROW]
[ROW][C]0.7[/C][C]134.828242411855[/C][C]0.807681281863301[/C][/ROW]
[ROW][C]0.71[/C][C]135.033744221938[/C][C]0.783098667310035[/C][/ROW]
[ROW][C]0.72[/C][C]135.240982717444[/C][C]0.7930841512663[/C][/ROW]
[ROW][C]0.73[/C][C]135.458474248014[/C][C]0.835684119036457[/C][/ROW]
[ROW][C]0.74[/C][C]135.694427744866[/C][C]0.906238093736713[/C][/ROW]
[ROW][C]0.75[/C][C]135.956614238496[/C][C]1.00126398535568[/C][/ROW]
[ROW][C]0.76[/C][C]136.252402585456[/C][C]1.11821870469036[/C][/ROW]
[ROW][C]0.77[/C][C]136.588728602023[/C][C]1.25522904467290[/C][/ROW]
[ROW][C]0.78[/C][C]136.971699022802[/C][C]1.40879257753969[/C][/ROW]
[ROW][C]0.79[/C][C]137.405676343322[/C][C]1.57064200590568[/C][/ROW]
[ROW][C]0.8[/C][C]137.892058076953[/C][C]1.72681106695688[/C][/ROW]
[ROW][C]0.81[/C][C]138.428407847970[/C][C]1.86042554407373[/C][/ROW]
[ROW][C]0.82[/C][C]139.008836550476[/C][C]1.95800374732335[/C][/ROW]
[ROW][C]0.83[/C][C]139.626291041426[/C][C]2.01691338775919[/C][/ROW]
[ROW][C]0.84[/C][C]140.27660592949[/C][C]2.05130960329264[/C][/ROW]
[ROW][C]0.85[/C][C]140.963082274257[/C][C]2.09181528520982[/C][/ROW]
[ROW][C]0.86[/C][C]141.699567545422[/C][C]2.17652103204809[/C][/ROW]
[ROW][C]0.87[/C][C]142.510141612378[/C][C]2.33346131837699[/C][/ROW]
[ROW][C]0.88[/C][C]143.424757713917[/C][C]2.56492717814380[/C][/ROW]
[ROW][C]0.89[/C][C]144.472126128479[/C][C]2.84558617117023[/C][/ROW]
[ROW][C]0.9[/C][C]145.673187140463[/C][C]3.13207316384394[/C][/ROW]
[ROW][C]0.91[/C][C]147.04049036178[/C][C]3.38402768339603[/C][/ROW]
[ROW][C]0.92[/C][C]148.589820903088[/C][C]3.59416583368086[/C][/ROW]
[ROW][C]0.93[/C][C]150.367056691986[/C][C]3.82850149830902[/C][/ROW]
[ROW][C]0.94[/C][C]152.482016570700[/C][C]4.22677385958638[/C][/ROW]
[ROW][C]0.95[/C][C]155.124372334840[/C][C]4.90135992568635[/C][/ROW]
[ROW][C]0.96[/C][C]158.515785372368[/C][C]5.78727537318572[/C][/ROW]
[ROW][C]0.97[/C][C]162.739658819611[/C][C]6.43990413901795[/C][/ROW]
[ROW][C]0.98[/C][C]167.509009998138[/C][C]5.92959897370951[/C][/ROW]
[ROW][C]0.99[/C][C]172.097913159733[/C][C]4.31375285231502[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78130&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78130&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
0.0191.63363036690993.62586646629705
0.0295.05766177500913.38467432353621
0.0397.735380694342.7431842593601
0.0499.5333905859071.93638016431552
0.05100.6965818486151.44739375541268
0.06101.5334541028151.41780251529367
0.07102.2793010972311.62927757886768
0.08103.0488643179951.87369108477168
0.09103.8701785832842.08621975915668
0.1104.7370615957082.27620200446774
0.11105.6397759174632.46039664838812
0.12106.5712293087322.63093857635162
0.13107.5223378985532.76151082920568
0.14108.4781423742942.82558292802616
0.15109.4187300135682.81168123009890
0.16110.323626597152.72744510734131
0.17111.1766869522472.59490472396543
0.18111.9693246077602.44259965893466
0.19112.7014125429652.29883215612350
0.2113.3802334147792.18681244123393
0.21114.0181930647912.12181828353532
0.22114.6299287251332.10851088015443
0.23115.2293194909722.13911979694707
0.24115.8268891239092.19597306499650
0.25116.4280911358242.25645883400277
0.26117.0328365563202.29882745385945
0.27117.6363249623802.30741261540622
0.28118.2308701935372.27646241408377
0.29118.8081391649702.20928711592132
0.3119.3611658172992.11625635958253
0.31119.8856710089012.01114678214603
0.32120.3805160610841.90739567799932
0.33120.8474037118381.81541830104638
0.34121.2901098442861.74166723101725
0.35121.7135536380881.68874787750219
0.36122.1229341284701.65621833897899
0.37122.5230483170101.64107664067577
0.38122.9178168121141.63858840488981
0.39123.309999459051.64408373688969
0.4123.7010775670991.65151869294792
0.41124.0912906563391.65572113282957
0.42124.4798256695731.65297362344431
0.43124.8651544263641.64081450101125
0.44125.2454971587721.61898257338911
0.45125.6193593544381.58988277832650
0.46125.9860557939161.55837968328915
0.47126.3461147492331.53103264903102
0.48126.7014614262961.51500090453046
0.49127.0553189591891.51607738018834
0.5127.4118297235871.53784509155078
0.51127.7754690169701.58001005776537
0.52128.1503727170061.63890843370659
0.53128.5397129498021.70874644859573
0.54128.9452288856571.78142338146736
0.55129.3669673222321.84904859240482
0.56129.8032325109601.90453342409866
0.57130.2507074537671.94127646693591
0.58130.7046987746261.95477267349295
0.59131.1594686874091.94108444447702
0.6131.6086350723501.89875862206814
0.61132.0456287902951.82805749822886
0.62132.4641899658271.73123272045913
0.63132.8588683010611.61318478286133
0.64133.2254800179511.48006435072147
0.65133.5614762938591.33936891743545
0.66133.8661943724911.19973484144868
0.67134.1409811247171.06909430964641
0.68134.3891863726310.955621900226586
0.69134.6160175470610.866525676772052
0.7134.8282424118550.807681281863301
0.71135.0337442219380.783098667310035
0.72135.2409827174440.7930841512663
0.73135.4584742480140.835684119036457
0.74135.6944277448660.906238093736713
0.75135.9566142384961.00126398535568
0.76136.2524025854561.11821870469036
0.77136.5887286020231.25522904467290
0.78136.9716990228021.40879257753969
0.79137.4056763433221.57064200590568
0.8137.8920580769531.72681106695688
0.81138.4284078479701.86042554407373
0.82139.0088365504761.95800374732335
0.83139.6262910414262.01691338775919
0.84140.276605929492.05130960329264
0.85140.9630822742572.09181528520982
0.86141.6995675454222.17652103204809
0.87142.5101416123782.33346131837699
0.88143.4247577139172.56492717814380
0.89144.4721261284792.84558617117023
0.9145.6731871404633.13207316384394
0.91147.040490361783.38402768339603
0.92148.5898209030883.59416583368086
0.93150.3670566919863.82850149830902
0.94152.4820165707004.22677385958638
0.95155.1243723348404.90135992568635
0.96158.5157853723685.78727537318572
0.97162.7396588196116.43990413901795
0.98167.5090099981385.92959897370951
0.99172.0979131597334.31375285231502


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')