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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 computationSat, 18 Oct 2008 03:44:17 -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/2008/Oct/18/t1224323089tgqne9lr1dz55p2.htm/, Retrieved Wed, 22 May 2024 10:24:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16544, Retrieved Wed, 22 May 2024 10:24:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168

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] [Guy Van Hasselt M...] [2008-10-18 09:44:17] [6998899cd6ebdd3d2c6ef8366ab46470] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.6200
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0.7000
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16544&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16544&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16544&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
00.62NA
0.010.6200547582341480.000213635966658672
0.020.6203391821267180.00098701619711806
0.030.6210847967168810.00230267944674902
0.040.6223930779248780.00360895117221657
0.050.6241230334933250.00428761299574716
0.060.6259763074259790.00417702778806934
0.070.6276874071120150.00361759201756317
0.080.6291509738397130.00313835898021017
0.090.630416972390460.00309138196138071
0.10.6316022350591180.00342502337942655
0.110.632800024220130.00384737385116883
0.120.6340352053589290.00410048992671637
0.130.6352680773627680.0040502313990098
0.140.6364258525182640.00368877609004072
0.150.6374380169312140.00310197354239811
0.160.6382602049980030.00241666248781594
0.170.6388819075803370.00175127603141264
0.180.639321279719390.00118679126996867
0.190.6396137440377460.000760450904872037
0.20.6398005826555130.000474055053237654
0.210.639921125077380.00031724022313366
0.220.640009370561590.000286450179889162
0.230.6400940531957440.000374119241536539
0.240.6402004831828740.000563140220588032
0.250.6403526467531440.000852519265698563
0.260.64057457301540.00124774453085665
0.270.6408905657114280.00175319062429861
0.280.6413244049731860.00236329237973377
0.290.6418979937325380.00306426533948404
0.30.6426301174233790.00384029037291605
0.310.6435359633637270.00467211299075315
0.320.6446277920475460.00555131010704194
0.330.6459167141878190.00648199926114984
0.340.6474150284374320.0074843828885257
0.350.6491381865520930.0085871575296939
0.360.6511053347209340.0098143128122761
0.370.653337616001490.0111747922782744
0.380.6558539794764760.0126456672358382
0.390.6586649851724330.0141614824835021
0.40.6617658069379770.0156241660234192
0.410.6651300978931760.0169052106745979
0.420.6687064331728340.0178708332452653
0.430.6724186304334890.0183981359269102
0.440.6761704489554250.0184018700241239
0.450.6798541784840560.0178474970613150
0.460.6833617105192820.0167615521088487
0.470.6865960896511060.0152260597621518
0.480.6894814354236490.0133670031781689
0.490.6919695294518480.0113333750233715
0.50.6940421523736560.00927594906174636
0.510.6957091992991050.00732584962078224
0.520.6970034424751880.00558101749156334
0.530.6979733441857040.00410155653568281
0.540.6986754623539620.00291010280753928
0.550.699167770047540.00199819947183280
0.560.69950475264390.00133810905952321
0.570.6997346109184450.000894132586556502
0.580.6998984213517970.000634211362898803
0.590.700030768375890.000540522099075155
0.60.7001611899597250.000598383741914869
0.610.7003157501210340.000782145689652414
0.620.7005181377689410.00106876767069206
0.630.7007898644346880.00144615413025551
0.640.7011493770956980.00189694355762746
0.650.7016101975936330.00239480407818787
0.660.702178508716420.00290043479287199
0.670.7028508613887770.00336442689408774
0.680.7036127910509210.00373443118759573
0.690.7044390302219770.003963304081554
0.70.7052956688351650.00401781297783634
0.710.7061441090147870.00388763818476874
0.720.7069461322473860.00358647559998736
0.730.7076690257418310.00315167045101158
0.740.7082896455618380.00263497255311827
0.750.708796567371180.00209320000246194
0.760.7091900024194230.00157783586269433
0.770.7094797512011730.00112702561621023
0.780.7096819260025660.000761575889770465
0.790.7098153587819750.000485754709377239
0.80.7098985017078670.000291826277901537
0.810.7099473135924380.000164852504335603
0.820.7099742521040938.74945330454335e-05
0.830.7099881921346194.32137632724397e-05
0.840.7099949367137312.00063718853888e-05
0.850.7099979779214328.53605200443254e-06
0.860.7099992512663593.46777112680072e-06
0.870.7099997442515311.06700650055407e-06
0.880.709999919885352.66751625138517e-07
0.890.7099999771412292.66751625138517e-07
0.90.709999994107360
0.910.7099999986409890
0.920.7099999997229660
0.930.7099999999508440
0.940.7099999999925590
0.950.7099999999990650
0.960.7099999999999060
0.970.7099999999999930
0.980.710
0.990.710
10.71NA

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0 & 0.62 & NA \tabularnewline
0.01 & 0.620054758234148 & 0.000213635966658672 \tabularnewline
0.02 & 0.620339182126718 & 0.00098701619711806 \tabularnewline
0.03 & 0.621084796716881 & 0.00230267944674902 \tabularnewline
0.04 & 0.622393077924878 & 0.00360895117221657 \tabularnewline
0.05 & 0.624123033493325 & 0.00428761299574716 \tabularnewline
0.06 & 0.625976307425979 & 0.00417702778806934 \tabularnewline
0.07 & 0.627687407112015 & 0.00361759201756317 \tabularnewline
0.08 & 0.629150973839713 & 0.00313835898021017 \tabularnewline
0.09 & 0.63041697239046 & 0.00309138196138071 \tabularnewline
0.1 & 0.631602235059118 & 0.00342502337942655 \tabularnewline
0.11 & 0.63280002422013 & 0.00384737385116883 \tabularnewline
0.12 & 0.634035205358929 & 0.00410048992671637 \tabularnewline
0.13 & 0.635268077362768 & 0.0040502313990098 \tabularnewline
0.14 & 0.636425852518264 & 0.00368877609004072 \tabularnewline
0.15 & 0.637438016931214 & 0.00310197354239811 \tabularnewline
0.16 & 0.638260204998003 & 0.00241666248781594 \tabularnewline
0.17 & 0.638881907580337 & 0.00175127603141264 \tabularnewline
0.18 & 0.63932127971939 & 0.00118679126996867 \tabularnewline
0.19 & 0.639613744037746 & 0.000760450904872037 \tabularnewline
0.2 & 0.639800582655513 & 0.000474055053237654 \tabularnewline
0.21 & 0.63992112507738 & 0.00031724022313366 \tabularnewline
0.22 & 0.64000937056159 & 0.000286450179889162 \tabularnewline
0.23 & 0.640094053195744 & 0.000374119241536539 \tabularnewline
0.24 & 0.640200483182874 & 0.000563140220588032 \tabularnewline
0.25 & 0.640352646753144 & 0.000852519265698563 \tabularnewline
0.26 & 0.6405745730154 & 0.00124774453085665 \tabularnewline
0.27 & 0.640890565711428 & 0.00175319062429861 \tabularnewline
0.28 & 0.641324404973186 & 0.00236329237973377 \tabularnewline
0.29 & 0.641897993732538 & 0.00306426533948404 \tabularnewline
0.3 & 0.642630117423379 & 0.00384029037291605 \tabularnewline
0.31 & 0.643535963363727 & 0.00467211299075315 \tabularnewline
0.32 & 0.644627792047546 & 0.00555131010704194 \tabularnewline
0.33 & 0.645916714187819 & 0.00648199926114984 \tabularnewline
0.34 & 0.647415028437432 & 0.0074843828885257 \tabularnewline
0.35 & 0.649138186552093 & 0.0085871575296939 \tabularnewline
0.36 & 0.651105334720934 & 0.0098143128122761 \tabularnewline
0.37 & 0.65333761600149 & 0.0111747922782744 \tabularnewline
0.38 & 0.655853979476476 & 0.0126456672358382 \tabularnewline
0.39 & 0.658664985172433 & 0.0141614824835021 \tabularnewline
0.4 & 0.661765806937977 & 0.0156241660234192 \tabularnewline
0.41 & 0.665130097893176 & 0.0169052106745979 \tabularnewline
0.42 & 0.668706433172834 & 0.0178708332452653 \tabularnewline
0.43 & 0.672418630433489 & 0.0183981359269102 \tabularnewline
0.44 & 0.676170448955425 & 0.0184018700241239 \tabularnewline
0.45 & 0.679854178484056 & 0.0178474970613150 \tabularnewline
0.46 & 0.683361710519282 & 0.0167615521088487 \tabularnewline
0.47 & 0.686596089651106 & 0.0152260597621518 \tabularnewline
0.48 & 0.689481435423649 & 0.0133670031781689 \tabularnewline
0.49 & 0.691969529451848 & 0.0113333750233715 \tabularnewline
0.5 & 0.694042152373656 & 0.00927594906174636 \tabularnewline
0.51 & 0.695709199299105 & 0.00732584962078224 \tabularnewline
0.52 & 0.697003442475188 & 0.00558101749156334 \tabularnewline
0.53 & 0.697973344185704 & 0.00410155653568281 \tabularnewline
0.54 & 0.698675462353962 & 0.00291010280753928 \tabularnewline
0.55 & 0.69916777004754 & 0.00199819947183280 \tabularnewline
0.56 & 0.6995047526439 & 0.00133810905952321 \tabularnewline
0.57 & 0.699734610918445 & 0.000894132586556502 \tabularnewline
0.58 & 0.699898421351797 & 0.000634211362898803 \tabularnewline
0.59 & 0.70003076837589 & 0.000540522099075155 \tabularnewline
0.6 & 0.700161189959725 & 0.000598383741914869 \tabularnewline
0.61 & 0.700315750121034 & 0.000782145689652414 \tabularnewline
0.62 & 0.700518137768941 & 0.00106876767069206 \tabularnewline
0.63 & 0.700789864434688 & 0.00144615413025551 \tabularnewline
0.64 & 0.701149377095698 & 0.00189694355762746 \tabularnewline
0.65 & 0.701610197593633 & 0.00239480407818787 \tabularnewline
0.66 & 0.70217850871642 & 0.00290043479287199 \tabularnewline
0.67 & 0.702850861388777 & 0.00336442689408774 \tabularnewline
0.68 & 0.703612791050921 & 0.00373443118759573 \tabularnewline
0.69 & 0.704439030221977 & 0.003963304081554 \tabularnewline
0.7 & 0.705295668835165 & 0.00401781297783634 \tabularnewline
0.71 & 0.706144109014787 & 0.00388763818476874 \tabularnewline
0.72 & 0.706946132247386 & 0.00358647559998736 \tabularnewline
0.73 & 0.707669025741831 & 0.00315167045101158 \tabularnewline
0.74 & 0.708289645561838 & 0.00263497255311827 \tabularnewline
0.75 & 0.70879656737118 & 0.00209320000246194 \tabularnewline
0.76 & 0.709190002419423 & 0.00157783586269433 \tabularnewline
0.77 & 0.709479751201173 & 0.00112702561621023 \tabularnewline
0.78 & 0.709681926002566 & 0.000761575889770465 \tabularnewline
0.79 & 0.709815358781975 & 0.000485754709377239 \tabularnewline
0.8 & 0.709898501707867 & 0.000291826277901537 \tabularnewline
0.81 & 0.709947313592438 & 0.000164852504335603 \tabularnewline
0.82 & 0.709974252104093 & 8.74945330454335e-05 \tabularnewline
0.83 & 0.709988192134619 & 4.32137632724397e-05 \tabularnewline
0.84 & 0.709994936713731 & 2.00063718853888e-05 \tabularnewline
0.85 & 0.709997977921432 & 8.53605200443254e-06 \tabularnewline
0.86 & 0.709999251266359 & 3.46777112680072e-06 \tabularnewline
0.87 & 0.709999744251531 & 1.06700650055407e-06 \tabularnewline
0.88 & 0.70999991988535 & 2.66751625138517e-07 \tabularnewline
0.89 & 0.709999977141229 & 2.66751625138517e-07 \tabularnewline
0.9 & 0.70999999410736 & 0 \tabularnewline
0.91 & 0.709999998640989 & 0 \tabularnewline
0.92 & 0.709999999722966 & 0 \tabularnewline
0.93 & 0.709999999950844 & 0 \tabularnewline
0.94 & 0.709999999992559 & 0 \tabularnewline
0.95 & 0.709999999999065 & 0 \tabularnewline
0.96 & 0.709999999999906 & 0 \tabularnewline
0.97 & 0.709999999999993 & 0 \tabularnewline
0.98 & 0.71 & 0 \tabularnewline
0.99 & 0.71 & 0 \tabularnewline
1 & 0.71 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16544&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[/C][C]0.62[/C][C]NA[/C][/ROW]
[ROW][C]0.01[/C][C]0.620054758234148[/C][C]0.000213635966658672[/C][/ROW]
[ROW][C]0.02[/C][C]0.620339182126718[/C][C]0.00098701619711806[/C][/ROW]
[ROW][C]0.03[/C][C]0.621084796716881[/C][C]0.00230267944674902[/C][/ROW]
[ROW][C]0.04[/C][C]0.622393077924878[/C][C]0.00360895117221657[/C][/ROW]
[ROW][C]0.05[/C][C]0.624123033493325[/C][C]0.00428761299574716[/C][/ROW]
[ROW][C]0.06[/C][C]0.625976307425979[/C][C]0.00417702778806934[/C][/ROW]
[ROW][C]0.07[/C][C]0.627687407112015[/C][C]0.00361759201756317[/C][/ROW]
[ROW][C]0.08[/C][C]0.629150973839713[/C][C]0.00313835898021017[/C][/ROW]
[ROW][C]0.09[/C][C]0.63041697239046[/C][C]0.00309138196138071[/C][/ROW]
[ROW][C]0.1[/C][C]0.631602235059118[/C][C]0.00342502337942655[/C][/ROW]
[ROW][C]0.11[/C][C]0.63280002422013[/C][C]0.00384737385116883[/C][/ROW]
[ROW][C]0.12[/C][C]0.634035205358929[/C][C]0.00410048992671637[/C][/ROW]
[ROW][C]0.13[/C][C]0.635268077362768[/C][C]0.0040502313990098[/C][/ROW]
[ROW][C]0.14[/C][C]0.636425852518264[/C][C]0.00368877609004072[/C][/ROW]
[ROW][C]0.15[/C][C]0.637438016931214[/C][C]0.00310197354239811[/C][/ROW]
[ROW][C]0.16[/C][C]0.638260204998003[/C][C]0.00241666248781594[/C][/ROW]
[ROW][C]0.17[/C][C]0.638881907580337[/C][C]0.00175127603141264[/C][/ROW]
[ROW][C]0.18[/C][C]0.63932127971939[/C][C]0.00118679126996867[/C][/ROW]
[ROW][C]0.19[/C][C]0.639613744037746[/C][C]0.000760450904872037[/C][/ROW]
[ROW][C]0.2[/C][C]0.639800582655513[/C][C]0.000474055053237654[/C][/ROW]
[ROW][C]0.21[/C][C]0.63992112507738[/C][C]0.00031724022313366[/C][/ROW]
[ROW][C]0.22[/C][C]0.64000937056159[/C][C]0.000286450179889162[/C][/ROW]
[ROW][C]0.23[/C][C]0.640094053195744[/C][C]0.000374119241536539[/C][/ROW]
[ROW][C]0.24[/C][C]0.640200483182874[/C][C]0.000563140220588032[/C][/ROW]
[ROW][C]0.25[/C][C]0.640352646753144[/C][C]0.000852519265698563[/C][/ROW]
[ROW][C]0.26[/C][C]0.6405745730154[/C][C]0.00124774453085665[/C][/ROW]
[ROW][C]0.27[/C][C]0.640890565711428[/C][C]0.00175319062429861[/C][/ROW]
[ROW][C]0.28[/C][C]0.641324404973186[/C][C]0.00236329237973377[/C][/ROW]
[ROW][C]0.29[/C][C]0.641897993732538[/C][C]0.00306426533948404[/C][/ROW]
[ROW][C]0.3[/C][C]0.642630117423379[/C][C]0.00384029037291605[/C][/ROW]
[ROW][C]0.31[/C][C]0.643535963363727[/C][C]0.00467211299075315[/C][/ROW]
[ROW][C]0.32[/C][C]0.644627792047546[/C][C]0.00555131010704194[/C][/ROW]
[ROW][C]0.33[/C][C]0.645916714187819[/C][C]0.00648199926114984[/C][/ROW]
[ROW][C]0.34[/C][C]0.647415028437432[/C][C]0.0074843828885257[/C][/ROW]
[ROW][C]0.35[/C][C]0.649138186552093[/C][C]0.0085871575296939[/C][/ROW]
[ROW][C]0.36[/C][C]0.651105334720934[/C][C]0.0098143128122761[/C][/ROW]
[ROW][C]0.37[/C][C]0.65333761600149[/C][C]0.0111747922782744[/C][/ROW]
[ROW][C]0.38[/C][C]0.655853979476476[/C][C]0.0126456672358382[/C][/ROW]
[ROW][C]0.39[/C][C]0.658664985172433[/C][C]0.0141614824835021[/C][/ROW]
[ROW][C]0.4[/C][C]0.661765806937977[/C][C]0.0156241660234192[/C][/ROW]
[ROW][C]0.41[/C][C]0.665130097893176[/C][C]0.0169052106745979[/C][/ROW]
[ROW][C]0.42[/C][C]0.668706433172834[/C][C]0.0178708332452653[/C][/ROW]
[ROW][C]0.43[/C][C]0.672418630433489[/C][C]0.0183981359269102[/C][/ROW]
[ROW][C]0.44[/C][C]0.676170448955425[/C][C]0.0184018700241239[/C][/ROW]
[ROW][C]0.45[/C][C]0.679854178484056[/C][C]0.0178474970613150[/C][/ROW]
[ROW][C]0.46[/C][C]0.683361710519282[/C][C]0.0167615521088487[/C][/ROW]
[ROW][C]0.47[/C][C]0.686596089651106[/C][C]0.0152260597621518[/C][/ROW]
[ROW][C]0.48[/C][C]0.689481435423649[/C][C]0.0133670031781689[/C][/ROW]
[ROW][C]0.49[/C][C]0.691969529451848[/C][C]0.0113333750233715[/C][/ROW]
[ROW][C]0.5[/C][C]0.694042152373656[/C][C]0.00927594906174636[/C][/ROW]
[ROW][C]0.51[/C][C]0.695709199299105[/C][C]0.00732584962078224[/C][/ROW]
[ROW][C]0.52[/C][C]0.697003442475188[/C][C]0.00558101749156334[/C][/ROW]
[ROW][C]0.53[/C][C]0.697973344185704[/C][C]0.00410155653568281[/C][/ROW]
[ROW][C]0.54[/C][C]0.698675462353962[/C][C]0.00291010280753928[/C][/ROW]
[ROW][C]0.55[/C][C]0.69916777004754[/C][C]0.00199819947183280[/C][/ROW]
[ROW][C]0.56[/C][C]0.6995047526439[/C][C]0.00133810905952321[/C][/ROW]
[ROW][C]0.57[/C][C]0.699734610918445[/C][C]0.000894132586556502[/C][/ROW]
[ROW][C]0.58[/C][C]0.699898421351797[/C][C]0.000634211362898803[/C][/ROW]
[ROW][C]0.59[/C][C]0.70003076837589[/C][C]0.000540522099075155[/C][/ROW]
[ROW][C]0.6[/C][C]0.700161189959725[/C][C]0.000598383741914869[/C][/ROW]
[ROW][C]0.61[/C][C]0.700315750121034[/C][C]0.000782145689652414[/C][/ROW]
[ROW][C]0.62[/C][C]0.700518137768941[/C][C]0.00106876767069206[/C][/ROW]
[ROW][C]0.63[/C][C]0.700789864434688[/C][C]0.00144615413025551[/C][/ROW]
[ROW][C]0.64[/C][C]0.701149377095698[/C][C]0.00189694355762746[/C][/ROW]
[ROW][C]0.65[/C][C]0.701610197593633[/C][C]0.00239480407818787[/C][/ROW]
[ROW][C]0.66[/C][C]0.70217850871642[/C][C]0.00290043479287199[/C][/ROW]
[ROW][C]0.67[/C][C]0.702850861388777[/C][C]0.00336442689408774[/C][/ROW]
[ROW][C]0.68[/C][C]0.703612791050921[/C][C]0.00373443118759573[/C][/ROW]
[ROW][C]0.69[/C][C]0.704439030221977[/C][C]0.003963304081554[/C][/ROW]
[ROW][C]0.7[/C][C]0.705295668835165[/C][C]0.00401781297783634[/C][/ROW]
[ROW][C]0.71[/C][C]0.706144109014787[/C][C]0.00388763818476874[/C][/ROW]
[ROW][C]0.72[/C][C]0.706946132247386[/C][C]0.00358647559998736[/C][/ROW]
[ROW][C]0.73[/C][C]0.707669025741831[/C][C]0.00315167045101158[/C][/ROW]
[ROW][C]0.74[/C][C]0.708289645561838[/C][C]0.00263497255311827[/C][/ROW]
[ROW][C]0.75[/C][C]0.70879656737118[/C][C]0.00209320000246194[/C][/ROW]
[ROW][C]0.76[/C][C]0.709190002419423[/C][C]0.00157783586269433[/C][/ROW]
[ROW][C]0.77[/C][C]0.709479751201173[/C][C]0.00112702561621023[/C][/ROW]
[ROW][C]0.78[/C][C]0.709681926002566[/C][C]0.000761575889770465[/C][/ROW]
[ROW][C]0.79[/C][C]0.709815358781975[/C][C]0.000485754709377239[/C][/ROW]
[ROW][C]0.8[/C][C]0.709898501707867[/C][C]0.000291826277901537[/C][/ROW]
[ROW][C]0.81[/C][C]0.709947313592438[/C][C]0.000164852504335603[/C][/ROW]
[ROW][C]0.82[/C][C]0.709974252104093[/C][C]8.74945330454335e-05[/C][/ROW]
[ROW][C]0.83[/C][C]0.709988192134619[/C][C]4.32137632724397e-05[/C][/ROW]
[ROW][C]0.84[/C][C]0.709994936713731[/C][C]2.00063718853888e-05[/C][/ROW]
[ROW][C]0.85[/C][C]0.709997977921432[/C][C]8.53605200443254e-06[/C][/ROW]
[ROW][C]0.86[/C][C]0.709999251266359[/C][C]3.46777112680072e-06[/C][/ROW]
[ROW][C]0.87[/C][C]0.709999744251531[/C][C]1.06700650055407e-06[/C][/ROW]
[ROW][C]0.88[/C][C]0.70999991988535[/C][C]2.66751625138517e-07[/C][/ROW]
[ROW][C]0.89[/C][C]0.709999977141229[/C][C]2.66751625138517e-07[/C][/ROW]
[ROW][C]0.9[/C][C]0.70999999410736[/C][C]0[/C][/ROW]
[ROW][C]0.91[/C][C]0.709999998640989[/C][C]0[/C][/ROW]
[ROW][C]0.92[/C][C]0.709999999722966[/C][C]0[/C][/ROW]
[ROW][C]0.93[/C][C]0.709999999950844[/C][C]0[/C][/ROW]
[ROW][C]0.94[/C][C]0.709999999992559[/C][C]0[/C][/ROW]
[ROW][C]0.95[/C][C]0.709999999999065[/C][C]0[/C][/ROW]
[ROW][C]0.96[/C][C]0.709999999999906[/C][C]0[/C][/ROW]
[ROW][C]0.97[/C][C]0.709999999999993[/C][C]0[/C][/ROW]
[ROW][C]0.98[/C][C]0.71[/C][C]0[/C][/ROW]
[ROW][C]0.99[/C][C]0.71[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.71[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16544&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16544&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
00.62NA
0.010.6200547582341480.000213635966658672
0.020.6203391821267180.00098701619711806
0.030.6210847967168810.00230267944674902
0.040.6223930779248780.00360895117221657
0.050.6241230334933250.00428761299574716
0.060.6259763074259790.00417702778806934
0.070.6276874071120150.00361759201756317
0.080.6291509738397130.00313835898021017
0.090.630416972390460.00309138196138071
0.10.6316022350591180.00342502337942655
0.110.632800024220130.00384737385116883
0.120.6340352053589290.00410048992671637
0.130.6352680773627680.0040502313990098
0.140.6364258525182640.00368877609004072
0.150.6374380169312140.00310197354239811
0.160.6382602049980030.00241666248781594
0.170.6388819075803370.00175127603141264
0.180.639321279719390.00118679126996867
0.190.6396137440377460.000760450904872037
0.20.6398005826555130.000474055053237654
0.210.639921125077380.00031724022313366
0.220.640009370561590.000286450179889162
0.230.6400940531957440.000374119241536539
0.240.6402004831828740.000563140220588032
0.250.6403526467531440.000852519265698563
0.260.64057457301540.00124774453085665
0.270.6408905657114280.00175319062429861
0.280.6413244049731860.00236329237973377
0.290.6418979937325380.00306426533948404
0.30.6426301174233790.00384029037291605
0.310.6435359633637270.00467211299075315
0.320.6446277920475460.00555131010704194
0.330.6459167141878190.00648199926114984
0.340.6474150284374320.0074843828885257
0.350.6491381865520930.0085871575296939
0.360.6511053347209340.0098143128122761
0.370.653337616001490.0111747922782744
0.380.6558539794764760.0126456672358382
0.390.6586649851724330.0141614824835021
0.40.6617658069379770.0156241660234192
0.410.6651300978931760.0169052106745979
0.420.6687064331728340.0178708332452653
0.430.6724186304334890.0183981359269102
0.440.6761704489554250.0184018700241239
0.450.6798541784840560.0178474970613150
0.460.6833617105192820.0167615521088487
0.470.6865960896511060.0152260597621518
0.480.6894814354236490.0133670031781689
0.490.6919695294518480.0113333750233715
0.50.6940421523736560.00927594906174636
0.510.6957091992991050.00732584962078224
0.520.6970034424751880.00558101749156334
0.530.6979733441857040.00410155653568281
0.540.6986754623539620.00291010280753928
0.550.699167770047540.00199819947183280
0.560.69950475264390.00133810905952321
0.570.6997346109184450.000894132586556502
0.580.6998984213517970.000634211362898803
0.590.700030768375890.000540522099075155
0.60.7001611899597250.000598383741914869
0.610.7003157501210340.000782145689652414
0.620.7005181377689410.00106876767069206
0.630.7007898644346880.00144615413025551
0.640.7011493770956980.00189694355762746
0.650.7016101975936330.00239480407818787
0.660.702178508716420.00290043479287199
0.670.7028508613887770.00336442689408774
0.680.7036127910509210.00373443118759573
0.690.7044390302219770.003963304081554
0.70.7052956688351650.00401781297783634
0.710.7061441090147870.00388763818476874
0.720.7069461322473860.00358647559998736
0.730.7076690257418310.00315167045101158
0.740.7082896455618380.00263497255311827
0.750.708796567371180.00209320000246194
0.760.7091900024194230.00157783586269433
0.770.7094797512011730.00112702561621023
0.780.7096819260025660.000761575889770465
0.790.7098153587819750.000485754709377239
0.80.7098985017078670.000291826277901537
0.810.7099473135924380.000164852504335603
0.820.7099742521040938.74945330454335e-05
0.830.7099881921346194.32137632724397e-05
0.840.7099949367137312.00063718853888e-05
0.850.7099979779214328.53605200443254e-06
0.860.7099992512663593.46777112680072e-06
0.870.7099997442515311.06700650055407e-06
0.880.709999919885352.66751625138517e-07
0.890.7099999771412292.66751625138517e-07
0.90.709999994107360
0.910.7099999986409890
0.920.7099999997229660
0.930.7099999999508440
0.940.7099999999925590
0.950.7099999999990650
0.960.7099999999999060
0.970.7099999999999930
0.980.710
0.990.710
10.71NA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.00 ; par2 = 1.00 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.00 ; par2 = 1.00 ; 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')