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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 12:07:33 -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/27/t12251311164ehdlbmanuer4w5.htm/, Retrieved Sun, 19 May 2024 16:09:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19356, Retrieved Sun, 19 May 2024 16:09:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115

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] [Harrell – Davis Q...] [2008-10-27 18:07:33] [81dc0ee785f23261ccd6abf7aef76c2a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,800229009
0,808509785
0,800325798
0,807645446
0,80786418
0,808666388
0,802791977
0,800359412
0,799730839
0,801718404
0,799291772
0,801021007
0,801659401
0,805503135
0,799406844
0,808443517
0,804831789
0,803233987
0,805097359
0,80437952
0,803316472
0,798539197
0,802931812
0,801783146
0,798432621
0,80330517
0,805041293
0,812081363
0,805661225
0,80766687
0,800146508
0,794631772
0,779255334
0,787085724
0,796983968
0,784993641
0,791351194
0,801584403
0,798306677
0,804015955
0,799435832
0,802081728
0,804415992
0,803388574
0,809403001
0,810105579
0,809638152
0,815049694
0,806282469
0,809343645
0,812189365
0,810648568
0,812905263
0,805557799
0,802747487
0,797009022
0,79778995
0,796891931
0,806596736
0,848813573

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'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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19356&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19356&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19356&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.7806173025493220.00505695468257357
0.020.7826654102768550.00447129662819697
0.030.7848870873565460.00423805786957119
0.040.786996855719020.00427726558837584
0.050.7889079856193690.0043146212173177
0.060.7906119910495480.00418224397096381
0.070.7921092232936370.00385477069909296
0.080.7933958092794420.00338959463346078
0.090.7944721787030150.0028685956716962
0.10.795350246709270.0023645312944999
0.110.7960535031222070.00192722112923103
0.120.7966124465446680.0015812418120902
0.130.7970590066993720.00132752940819915
0.140.7974222130433690.00115298194147642
0.150.7977258357104630.00103886814050773
0.160.7979877803697940.000963638668388586
0.170.7982206433661670.000912495622767636
0.180.7984328196422340.000874787143273877
0.190.7986297108040.000845344830132482
0.20.7988147735016150.000820139798048176
0.210.7989903081485420.00079913135556497
0.220.7991579897649560.000781465956115313
0.230.7993191901925110.000767937277763496
0.240.7994751510590780.000758062251679127
0.250.7996270581636590.000753686507519318
0.260.7997760541040820.000754592458843521
0.270.7999232142730240.00076050413843962
0.280.8000695039196830.00077117868568476
0.290.8002157299819370.00078418915824606
0.30.8003624990141960.000799844217460318
0.310.8005101901805120.00081550608466539
0.320.8006589491157340.000831265558597241
0.330.8008087044508080.000844327529700092
0.340.800959204530220.00085387318051572
0.350.8011100681989660.000860095039117329
0.360.8012608413459540.00086257020070127
0.370.8014110506714430.000861394480873703
0.380.8015602478913120.000858129370791112
0.390.8017080407525720.000852216129709154
0.40.8018541108759350.000844207709848269
0.410.8019982215163890.000835611633624276
0.420.802140220003840.000825480236216386
0.430.8022800395113490.000814950549755806
0.440.8024177030731690.000804091453199395
0.450.8025533300953590.000793402897622592
0.460.802687142889560.000783854568679945
0.470.8028194689167640.000776261974239841
0.480.8029507340716150.000770660642357745
0.490.8030814436410410.000769064366907625
0.50.8032121502291540.000770812795122077
0.510.8033434112742460.000776321647724464
0.520.803475741932590.000785588127925243
0.530.803609571250460.000795950818563358
0.540.8037452101130590.000808727667024727
0.550.8038828382317730.000819989777739282
0.560.8040225145845870.000831389483350064
0.570.8041642117628250.00084090644369525
0.580.804307870310750.000847968572455425
0.590.804453465141590.000854821654192168
0.60.8046010731661790.000860688441238948
0.610.8047509298964250.000866807189260206
0.620.8049034632766980.000876185029874802
0.630.8050592954015570.00088930893116895
0.640.805219206909230.00090721424993253
0.650.8053840642760750.000931130400883734
0.660.805554716331720.000960150473547613
0.670.8057318722171480.00099319228384045
0.680.8059159777247750.00102819589119076
0.690.8061071094812580.00106218693736642
0.70.8063049059338440.00109211488863858
0.710.806508550179610.00111501249198824
0.720.8067168125839320.00112852663394179
0.730.8069281518906760.00113109976457883
0.740.8071408638608340.00112160520189668
0.750.8073532585391340.00110140935665782
0.760.8075638431187880.00107263444578478
0.770.8077714884472280.00103646306021563
0.780.8079755636030470.000997046239520152
0.790.8081760331019540.000957119843226752
0.80.808373521863860.00092071164929189
0.810.808569359605610.000889973521020355
0.820.8087656143630740.000868080762781602
0.830.8089651119993280.000857659915747266
0.840.809171417195620.000861279136834162
0.850.8093887316968290.000881376696476562
0.860.8096216681592760.000919172714436722
0.870.809874916636520.000973140603681508
0.880.8101529884432640.00103905103908035
0.890.810460590724870.00110862006372847
0.90.8108049344770010.00117489313306539
0.910.8112027378785730.00123867430933626
0.920.8116972201943030.00132840235410542
0.930.812393477722070.00154496986399151
0.940.813520040519480.00214515567710545
0.950.8155071460336930.00359787104921395
0.960.8190161648462070.0065405032470217
0.970.8247550383769070.011605536048445
0.980.8328672857528090.0188853325861511
0.990.8419710540707070.0270738923742094

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.780617302549322 & 0.00505695468257357 \tabularnewline
0.02 & 0.782665410276855 & 0.00447129662819697 \tabularnewline
0.03 & 0.784887087356546 & 0.00423805786957119 \tabularnewline
0.04 & 0.78699685571902 & 0.00427726558837584 \tabularnewline
0.05 & 0.788907985619369 & 0.0043146212173177 \tabularnewline
0.06 & 0.790611991049548 & 0.00418224397096381 \tabularnewline
0.07 & 0.792109223293637 & 0.00385477069909296 \tabularnewline
0.08 & 0.793395809279442 & 0.00338959463346078 \tabularnewline
0.09 & 0.794472178703015 & 0.0028685956716962 \tabularnewline
0.1 & 0.79535024670927 & 0.0023645312944999 \tabularnewline
0.11 & 0.796053503122207 & 0.00192722112923103 \tabularnewline
0.12 & 0.796612446544668 & 0.0015812418120902 \tabularnewline
0.13 & 0.797059006699372 & 0.00132752940819915 \tabularnewline
0.14 & 0.797422213043369 & 0.00115298194147642 \tabularnewline
0.15 & 0.797725835710463 & 0.00103886814050773 \tabularnewline
0.16 & 0.797987780369794 & 0.000963638668388586 \tabularnewline
0.17 & 0.798220643366167 & 0.000912495622767636 \tabularnewline
0.18 & 0.798432819642234 & 0.000874787143273877 \tabularnewline
0.19 & 0.798629710804 & 0.000845344830132482 \tabularnewline
0.2 & 0.798814773501615 & 0.000820139798048176 \tabularnewline
0.21 & 0.798990308148542 & 0.00079913135556497 \tabularnewline
0.22 & 0.799157989764956 & 0.000781465956115313 \tabularnewline
0.23 & 0.799319190192511 & 0.000767937277763496 \tabularnewline
0.24 & 0.799475151059078 & 0.000758062251679127 \tabularnewline
0.25 & 0.799627058163659 & 0.000753686507519318 \tabularnewline
0.26 & 0.799776054104082 & 0.000754592458843521 \tabularnewline
0.27 & 0.799923214273024 & 0.00076050413843962 \tabularnewline
0.28 & 0.800069503919683 & 0.00077117868568476 \tabularnewline
0.29 & 0.800215729981937 & 0.00078418915824606 \tabularnewline
0.3 & 0.800362499014196 & 0.000799844217460318 \tabularnewline
0.31 & 0.800510190180512 & 0.00081550608466539 \tabularnewline
0.32 & 0.800658949115734 & 0.000831265558597241 \tabularnewline
0.33 & 0.800808704450808 & 0.000844327529700092 \tabularnewline
0.34 & 0.80095920453022 & 0.00085387318051572 \tabularnewline
0.35 & 0.801110068198966 & 0.000860095039117329 \tabularnewline
0.36 & 0.801260841345954 & 0.00086257020070127 \tabularnewline
0.37 & 0.801411050671443 & 0.000861394480873703 \tabularnewline
0.38 & 0.801560247891312 & 0.000858129370791112 \tabularnewline
0.39 & 0.801708040752572 & 0.000852216129709154 \tabularnewline
0.4 & 0.801854110875935 & 0.000844207709848269 \tabularnewline
0.41 & 0.801998221516389 & 0.000835611633624276 \tabularnewline
0.42 & 0.80214022000384 & 0.000825480236216386 \tabularnewline
0.43 & 0.802280039511349 & 0.000814950549755806 \tabularnewline
0.44 & 0.802417703073169 & 0.000804091453199395 \tabularnewline
0.45 & 0.802553330095359 & 0.000793402897622592 \tabularnewline
0.46 & 0.80268714288956 & 0.000783854568679945 \tabularnewline
0.47 & 0.802819468916764 & 0.000776261974239841 \tabularnewline
0.48 & 0.802950734071615 & 0.000770660642357745 \tabularnewline
0.49 & 0.803081443641041 & 0.000769064366907625 \tabularnewline
0.5 & 0.803212150229154 & 0.000770812795122077 \tabularnewline
0.51 & 0.803343411274246 & 0.000776321647724464 \tabularnewline
0.52 & 0.80347574193259 & 0.000785588127925243 \tabularnewline
0.53 & 0.80360957125046 & 0.000795950818563358 \tabularnewline
0.54 & 0.803745210113059 & 0.000808727667024727 \tabularnewline
0.55 & 0.803882838231773 & 0.000819989777739282 \tabularnewline
0.56 & 0.804022514584587 & 0.000831389483350064 \tabularnewline
0.57 & 0.804164211762825 & 0.00084090644369525 \tabularnewline
0.58 & 0.80430787031075 & 0.000847968572455425 \tabularnewline
0.59 & 0.80445346514159 & 0.000854821654192168 \tabularnewline
0.6 & 0.804601073166179 & 0.000860688441238948 \tabularnewline
0.61 & 0.804750929896425 & 0.000866807189260206 \tabularnewline
0.62 & 0.804903463276698 & 0.000876185029874802 \tabularnewline
0.63 & 0.805059295401557 & 0.00088930893116895 \tabularnewline
0.64 & 0.80521920690923 & 0.00090721424993253 \tabularnewline
0.65 & 0.805384064276075 & 0.000931130400883734 \tabularnewline
0.66 & 0.80555471633172 & 0.000960150473547613 \tabularnewline
0.67 & 0.805731872217148 & 0.00099319228384045 \tabularnewline
0.68 & 0.805915977724775 & 0.00102819589119076 \tabularnewline
0.69 & 0.806107109481258 & 0.00106218693736642 \tabularnewline
0.7 & 0.806304905933844 & 0.00109211488863858 \tabularnewline
0.71 & 0.80650855017961 & 0.00111501249198824 \tabularnewline
0.72 & 0.806716812583932 & 0.00112852663394179 \tabularnewline
0.73 & 0.806928151890676 & 0.00113109976457883 \tabularnewline
0.74 & 0.807140863860834 & 0.00112160520189668 \tabularnewline
0.75 & 0.807353258539134 & 0.00110140935665782 \tabularnewline
0.76 & 0.807563843118788 & 0.00107263444578478 \tabularnewline
0.77 & 0.807771488447228 & 0.00103646306021563 \tabularnewline
0.78 & 0.807975563603047 & 0.000997046239520152 \tabularnewline
0.79 & 0.808176033101954 & 0.000957119843226752 \tabularnewline
0.8 & 0.80837352186386 & 0.00092071164929189 \tabularnewline
0.81 & 0.80856935960561 & 0.000889973521020355 \tabularnewline
0.82 & 0.808765614363074 & 0.000868080762781602 \tabularnewline
0.83 & 0.808965111999328 & 0.000857659915747266 \tabularnewline
0.84 & 0.80917141719562 & 0.000861279136834162 \tabularnewline
0.85 & 0.809388731696829 & 0.000881376696476562 \tabularnewline
0.86 & 0.809621668159276 & 0.000919172714436722 \tabularnewline
0.87 & 0.80987491663652 & 0.000973140603681508 \tabularnewline
0.88 & 0.810152988443264 & 0.00103905103908035 \tabularnewline
0.89 & 0.81046059072487 & 0.00110862006372847 \tabularnewline
0.9 & 0.810804934477001 & 0.00117489313306539 \tabularnewline
0.91 & 0.811202737878573 & 0.00123867430933626 \tabularnewline
0.92 & 0.811697220194303 & 0.00132840235410542 \tabularnewline
0.93 & 0.81239347772207 & 0.00154496986399151 \tabularnewline
0.94 & 0.81352004051948 & 0.00214515567710545 \tabularnewline
0.95 & 0.815507146033693 & 0.00359787104921395 \tabularnewline
0.96 & 0.819016164846207 & 0.0065405032470217 \tabularnewline
0.97 & 0.824755038376907 & 0.011605536048445 \tabularnewline
0.98 & 0.832867285752809 & 0.0188853325861511 \tabularnewline
0.99 & 0.841971054070707 & 0.0270738923742094 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19356&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]0.780617302549322[/C][C]0.00505695468257357[/C][/ROW]
[ROW][C]0.02[/C][C]0.782665410276855[/C][C]0.00447129662819697[/C][/ROW]
[ROW][C]0.03[/C][C]0.784887087356546[/C][C]0.00423805786957119[/C][/ROW]
[ROW][C]0.04[/C][C]0.78699685571902[/C][C]0.00427726558837584[/C][/ROW]
[ROW][C]0.05[/C][C]0.788907985619369[/C][C]0.0043146212173177[/C][/ROW]
[ROW][C]0.06[/C][C]0.790611991049548[/C][C]0.00418224397096381[/C][/ROW]
[ROW][C]0.07[/C][C]0.792109223293637[/C][C]0.00385477069909296[/C][/ROW]
[ROW][C]0.08[/C][C]0.793395809279442[/C][C]0.00338959463346078[/C][/ROW]
[ROW][C]0.09[/C][C]0.794472178703015[/C][C]0.0028685956716962[/C][/ROW]
[ROW][C]0.1[/C][C]0.79535024670927[/C][C]0.0023645312944999[/C][/ROW]
[ROW][C]0.11[/C][C]0.796053503122207[/C][C]0.00192722112923103[/C][/ROW]
[ROW][C]0.12[/C][C]0.796612446544668[/C][C]0.0015812418120902[/C][/ROW]
[ROW][C]0.13[/C][C]0.797059006699372[/C][C]0.00132752940819915[/C][/ROW]
[ROW][C]0.14[/C][C]0.797422213043369[/C][C]0.00115298194147642[/C][/ROW]
[ROW][C]0.15[/C][C]0.797725835710463[/C][C]0.00103886814050773[/C][/ROW]
[ROW][C]0.16[/C][C]0.797987780369794[/C][C]0.000963638668388586[/C][/ROW]
[ROW][C]0.17[/C][C]0.798220643366167[/C][C]0.000912495622767636[/C][/ROW]
[ROW][C]0.18[/C][C]0.798432819642234[/C][C]0.000874787143273877[/C][/ROW]
[ROW][C]0.19[/C][C]0.798629710804[/C][C]0.000845344830132482[/C][/ROW]
[ROW][C]0.2[/C][C]0.798814773501615[/C][C]0.000820139798048176[/C][/ROW]
[ROW][C]0.21[/C][C]0.798990308148542[/C][C]0.00079913135556497[/C][/ROW]
[ROW][C]0.22[/C][C]0.799157989764956[/C][C]0.000781465956115313[/C][/ROW]
[ROW][C]0.23[/C][C]0.799319190192511[/C][C]0.000767937277763496[/C][/ROW]
[ROW][C]0.24[/C][C]0.799475151059078[/C][C]0.000758062251679127[/C][/ROW]
[ROW][C]0.25[/C][C]0.799627058163659[/C][C]0.000753686507519318[/C][/ROW]
[ROW][C]0.26[/C][C]0.799776054104082[/C][C]0.000754592458843521[/C][/ROW]
[ROW][C]0.27[/C][C]0.799923214273024[/C][C]0.00076050413843962[/C][/ROW]
[ROW][C]0.28[/C][C]0.800069503919683[/C][C]0.00077117868568476[/C][/ROW]
[ROW][C]0.29[/C][C]0.800215729981937[/C][C]0.00078418915824606[/C][/ROW]
[ROW][C]0.3[/C][C]0.800362499014196[/C][C]0.000799844217460318[/C][/ROW]
[ROW][C]0.31[/C][C]0.800510190180512[/C][C]0.00081550608466539[/C][/ROW]
[ROW][C]0.32[/C][C]0.800658949115734[/C][C]0.000831265558597241[/C][/ROW]
[ROW][C]0.33[/C][C]0.800808704450808[/C][C]0.000844327529700092[/C][/ROW]
[ROW][C]0.34[/C][C]0.80095920453022[/C][C]0.00085387318051572[/C][/ROW]
[ROW][C]0.35[/C][C]0.801110068198966[/C][C]0.000860095039117329[/C][/ROW]
[ROW][C]0.36[/C][C]0.801260841345954[/C][C]0.00086257020070127[/C][/ROW]
[ROW][C]0.37[/C][C]0.801411050671443[/C][C]0.000861394480873703[/C][/ROW]
[ROW][C]0.38[/C][C]0.801560247891312[/C][C]0.000858129370791112[/C][/ROW]
[ROW][C]0.39[/C][C]0.801708040752572[/C][C]0.000852216129709154[/C][/ROW]
[ROW][C]0.4[/C][C]0.801854110875935[/C][C]0.000844207709848269[/C][/ROW]
[ROW][C]0.41[/C][C]0.801998221516389[/C][C]0.000835611633624276[/C][/ROW]
[ROW][C]0.42[/C][C]0.80214022000384[/C][C]0.000825480236216386[/C][/ROW]
[ROW][C]0.43[/C][C]0.802280039511349[/C][C]0.000814950549755806[/C][/ROW]
[ROW][C]0.44[/C][C]0.802417703073169[/C][C]0.000804091453199395[/C][/ROW]
[ROW][C]0.45[/C][C]0.802553330095359[/C][C]0.000793402897622592[/C][/ROW]
[ROW][C]0.46[/C][C]0.80268714288956[/C][C]0.000783854568679945[/C][/ROW]
[ROW][C]0.47[/C][C]0.802819468916764[/C][C]0.000776261974239841[/C][/ROW]
[ROW][C]0.48[/C][C]0.802950734071615[/C][C]0.000770660642357745[/C][/ROW]
[ROW][C]0.49[/C][C]0.803081443641041[/C][C]0.000769064366907625[/C][/ROW]
[ROW][C]0.5[/C][C]0.803212150229154[/C][C]0.000770812795122077[/C][/ROW]
[ROW][C]0.51[/C][C]0.803343411274246[/C][C]0.000776321647724464[/C][/ROW]
[ROW][C]0.52[/C][C]0.80347574193259[/C][C]0.000785588127925243[/C][/ROW]
[ROW][C]0.53[/C][C]0.80360957125046[/C][C]0.000795950818563358[/C][/ROW]
[ROW][C]0.54[/C][C]0.803745210113059[/C][C]0.000808727667024727[/C][/ROW]
[ROW][C]0.55[/C][C]0.803882838231773[/C][C]0.000819989777739282[/C][/ROW]
[ROW][C]0.56[/C][C]0.804022514584587[/C][C]0.000831389483350064[/C][/ROW]
[ROW][C]0.57[/C][C]0.804164211762825[/C][C]0.00084090644369525[/C][/ROW]
[ROW][C]0.58[/C][C]0.80430787031075[/C][C]0.000847968572455425[/C][/ROW]
[ROW][C]0.59[/C][C]0.80445346514159[/C][C]0.000854821654192168[/C][/ROW]
[ROW][C]0.6[/C][C]0.804601073166179[/C][C]0.000860688441238948[/C][/ROW]
[ROW][C]0.61[/C][C]0.804750929896425[/C][C]0.000866807189260206[/C][/ROW]
[ROW][C]0.62[/C][C]0.804903463276698[/C][C]0.000876185029874802[/C][/ROW]
[ROW][C]0.63[/C][C]0.805059295401557[/C][C]0.00088930893116895[/C][/ROW]
[ROW][C]0.64[/C][C]0.80521920690923[/C][C]0.00090721424993253[/C][/ROW]
[ROW][C]0.65[/C][C]0.805384064276075[/C][C]0.000931130400883734[/C][/ROW]
[ROW][C]0.66[/C][C]0.80555471633172[/C][C]0.000960150473547613[/C][/ROW]
[ROW][C]0.67[/C][C]0.805731872217148[/C][C]0.00099319228384045[/C][/ROW]
[ROW][C]0.68[/C][C]0.805915977724775[/C][C]0.00102819589119076[/C][/ROW]
[ROW][C]0.69[/C][C]0.806107109481258[/C][C]0.00106218693736642[/C][/ROW]
[ROW][C]0.7[/C][C]0.806304905933844[/C][C]0.00109211488863858[/C][/ROW]
[ROW][C]0.71[/C][C]0.80650855017961[/C][C]0.00111501249198824[/C][/ROW]
[ROW][C]0.72[/C][C]0.806716812583932[/C][C]0.00112852663394179[/C][/ROW]
[ROW][C]0.73[/C][C]0.806928151890676[/C][C]0.00113109976457883[/C][/ROW]
[ROW][C]0.74[/C][C]0.807140863860834[/C][C]0.00112160520189668[/C][/ROW]
[ROW][C]0.75[/C][C]0.807353258539134[/C][C]0.00110140935665782[/C][/ROW]
[ROW][C]0.76[/C][C]0.807563843118788[/C][C]0.00107263444578478[/C][/ROW]
[ROW][C]0.77[/C][C]0.807771488447228[/C][C]0.00103646306021563[/C][/ROW]
[ROW][C]0.78[/C][C]0.807975563603047[/C][C]0.000997046239520152[/C][/ROW]
[ROW][C]0.79[/C][C]0.808176033101954[/C][C]0.000957119843226752[/C][/ROW]
[ROW][C]0.8[/C][C]0.80837352186386[/C][C]0.00092071164929189[/C][/ROW]
[ROW][C]0.81[/C][C]0.80856935960561[/C][C]0.000889973521020355[/C][/ROW]
[ROW][C]0.82[/C][C]0.808765614363074[/C][C]0.000868080762781602[/C][/ROW]
[ROW][C]0.83[/C][C]0.808965111999328[/C][C]0.000857659915747266[/C][/ROW]
[ROW][C]0.84[/C][C]0.80917141719562[/C][C]0.000861279136834162[/C][/ROW]
[ROW][C]0.85[/C][C]0.809388731696829[/C][C]0.000881376696476562[/C][/ROW]
[ROW][C]0.86[/C][C]0.809621668159276[/C][C]0.000919172714436722[/C][/ROW]
[ROW][C]0.87[/C][C]0.80987491663652[/C][C]0.000973140603681508[/C][/ROW]
[ROW][C]0.88[/C][C]0.810152988443264[/C][C]0.00103905103908035[/C][/ROW]
[ROW][C]0.89[/C][C]0.81046059072487[/C][C]0.00110862006372847[/C][/ROW]
[ROW][C]0.9[/C][C]0.810804934477001[/C][C]0.00117489313306539[/C][/ROW]
[ROW][C]0.91[/C][C]0.811202737878573[/C][C]0.00123867430933626[/C][/ROW]
[ROW][C]0.92[/C][C]0.811697220194303[/C][C]0.00132840235410542[/C][/ROW]
[ROW][C]0.93[/C][C]0.81239347772207[/C][C]0.00154496986399151[/C][/ROW]
[ROW][C]0.94[/C][C]0.81352004051948[/C][C]0.00214515567710545[/C][/ROW]
[ROW][C]0.95[/C][C]0.815507146033693[/C][C]0.00359787104921395[/C][/ROW]
[ROW][C]0.96[/C][C]0.819016164846207[/C][C]0.0065405032470217[/C][/ROW]
[ROW][C]0.97[/C][C]0.824755038376907[/C][C]0.011605536048445[/C][/ROW]
[ROW][C]0.98[/C][C]0.832867285752809[/C][C]0.0188853325861511[/C][/ROW]
[ROW][C]0.99[/C][C]0.841971054070707[/C][C]0.0270738923742094[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19356&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19356&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
0.010.7806173025493220.00505695468257357
0.020.7826654102768550.00447129662819697
0.030.7848870873565460.00423805786957119
0.040.786996855719020.00427726558837584
0.050.7889079856193690.0043146212173177
0.060.7906119910495480.00418224397096381
0.070.7921092232936370.00385477069909296
0.080.7933958092794420.00338959463346078
0.090.7944721787030150.0028685956716962
0.10.795350246709270.0023645312944999
0.110.7960535031222070.00192722112923103
0.120.7966124465446680.0015812418120902
0.130.7970590066993720.00132752940819915
0.140.7974222130433690.00115298194147642
0.150.7977258357104630.00103886814050773
0.160.7979877803697940.000963638668388586
0.170.7982206433661670.000912495622767636
0.180.7984328196422340.000874787143273877
0.190.7986297108040.000845344830132482
0.20.7988147735016150.000820139798048176
0.210.7989903081485420.00079913135556497
0.220.7991579897649560.000781465956115313
0.230.7993191901925110.000767937277763496
0.240.7994751510590780.000758062251679127
0.250.7996270581636590.000753686507519318
0.260.7997760541040820.000754592458843521
0.270.7999232142730240.00076050413843962
0.280.8000695039196830.00077117868568476
0.290.8002157299819370.00078418915824606
0.30.8003624990141960.000799844217460318
0.310.8005101901805120.00081550608466539
0.320.8006589491157340.000831265558597241
0.330.8008087044508080.000844327529700092
0.340.800959204530220.00085387318051572
0.350.8011100681989660.000860095039117329
0.360.8012608413459540.00086257020070127
0.370.8014110506714430.000861394480873703
0.380.8015602478913120.000858129370791112
0.390.8017080407525720.000852216129709154
0.40.8018541108759350.000844207709848269
0.410.8019982215163890.000835611633624276
0.420.802140220003840.000825480236216386
0.430.8022800395113490.000814950549755806
0.440.8024177030731690.000804091453199395
0.450.8025533300953590.000793402897622592
0.460.802687142889560.000783854568679945
0.470.8028194689167640.000776261974239841
0.480.8029507340716150.000770660642357745
0.490.8030814436410410.000769064366907625
0.50.8032121502291540.000770812795122077
0.510.8033434112742460.000776321647724464
0.520.803475741932590.000785588127925243
0.530.803609571250460.000795950818563358
0.540.8037452101130590.000808727667024727
0.550.8038828382317730.000819989777739282
0.560.8040225145845870.000831389483350064
0.570.8041642117628250.00084090644369525
0.580.804307870310750.000847968572455425
0.590.804453465141590.000854821654192168
0.60.8046010731661790.000860688441238948
0.610.8047509298964250.000866807189260206
0.620.8049034632766980.000876185029874802
0.630.8050592954015570.00088930893116895
0.640.805219206909230.00090721424993253
0.650.8053840642760750.000931130400883734
0.660.805554716331720.000960150473547613
0.670.8057318722171480.00099319228384045
0.680.8059159777247750.00102819589119076
0.690.8061071094812580.00106218693736642
0.70.8063049059338440.00109211488863858
0.710.806508550179610.00111501249198824
0.720.8067168125839320.00112852663394179
0.730.8069281518906760.00113109976457883
0.740.8071408638608340.00112160520189668
0.750.8073532585391340.00110140935665782
0.760.8075638431187880.00107263444578478
0.770.8077714884472280.00103646306021563
0.780.8079755636030470.000997046239520152
0.790.8081760331019540.000957119843226752
0.80.808373521863860.00092071164929189
0.810.808569359605610.000889973521020355
0.820.8087656143630740.000868080762781602
0.830.8089651119993280.000857659915747266
0.840.809171417195620.000861279136834162
0.850.8093887316968290.000881376696476562
0.860.8096216681592760.000919172714436722
0.870.809874916636520.000973140603681508
0.880.8101529884432640.00103905103908035
0.890.810460590724870.00110862006372847
0.90.8108049344770010.00117489313306539
0.910.8112027378785730.00123867430933626
0.920.8116972201943030.00132840235410542
0.930.812393477722070.00154496986399151
0.940.813520040519480.00214515567710545
0.950.8155071460336930.00359787104921395
0.960.8190161648462070.0065405032470217
0.970.8247550383769070.011605536048445
0.980.8328672857528090.0188853325861511
0.990.8419710540707070.0270738923742094


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')