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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 computationWed, 28 May 2008 12:02:48 -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/May/28/t1211997821lovtzhoqfwj52aa.htm/, Retrieved Sun, 19 May 2024 23:59:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=13461, Retrieved Sun, 19 May 2024 23:59:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact192

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] [Opdracht4-Opgave1...] [2008-03-02 21:35:26] [d7d11ca83a0c912970c6165cecc7cdc7]
- R  D  [Harrell-Davis Quantiles] [Nicky Van Calster...] [2008-05-28 12:04:20] [d7d11ca83a0c912970c6165cecc7cdc7]
-   PD      [Harrell-Davis Quantiles] [Nicky Van Calster...] [2008-05-28 18:02:48] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.70291
0.6885
0.67127
0.66502
0.65825
0.65025
0.65779
0.66014
0.64683
0.64587
0.63702
0.62651
0.61834
0.61466
0.61063
0.59802
0.60151
0.62927
0.62304
0.6071
0.60773
0.58933
0.60039
0.61342
0.6348
0.634
0.62915
0.62168
0.61328
0.6089
0.60857
0.62672
0.62291
0.62393
0.61838
0.62012
0.61659
0.6116
0.61573
0.61407
0.62823
0.64405
0.6387
0.63633
0.63059
0.62994
0.63709
0.64217
0.65711
0.66977
0.68255
0.68902
0.71322
0.70224
0.70045
0.69919
0.69693
0.69763
0.69278
0.70196
0.69215
0.6769
0.67124
0.66532
0.67157
0.66428
0.66576
0.66942
0.6813
0.69144
0.69862
0.695
0.69867
0.68968
0.69233
0.68293
0.68399
0.66895
0.68756
0.68527
0.6776
0.68137
0.67933
0.67922
0.68598
0.68297
0.68935
0.69463
0.6833
0.68666
0.68782
0.67669
0.67511
0.67254
0.67397
0.67286
0.66341
0.668
0.68021
0.67934
0.68136
0.67562
0.6744
0.67766
0.68887
0.69614
0.70896
0.72064
0.74725

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=13461&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=13461&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13461&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
0.10.6127634328760540.00266864058743792
0.110.6137783999756640.00275879364609579
0.120.6147878996513270.00291207250557875
0.130.6158124055340950.00311837694578277
0.140.6168671987232970.00335178406128517
0.150.6179591406396130.00357993259658987
0.160.6190865702605340.00378014389370755
0.170.6202418446796850.00394098593614517
0.180.6214148327517030.00406244190865994
0.190.6225960079085810.00415264446409749
0.20.623778578124330.00422340865451332
0.210.6249596675360090.0042908519274648
0.220.6261407692458930.00437043504115094
0.230.6273276579308170.00448354252292647
0.240.6285298770016410.00464021785646453
0.250.6297599069902890.00485436759155933
0.260.6310321674257310.00512858198215177
0.270.6323620202695990.00546754684947567
0.280.6337648647679820.0058717298109073
0.290.6352552614435890.00633379926950973
0.30.6368458948010020.00684973078186211
0.310.638546185833060.00740177606609371
0.320.6403605316070520.00796464906714918
0.330.6422864142050570.00850242852433252
0.340.6443128536527750.0089713209614772
0.350.646419754936840.00932875726193212
0.360.6485785642405940.00953726194963225
0.370.6507543430178160.00957135715495896
0.380.6529089982872350.0094272924870515
0.390.6550051009072420.00911287497934212
0.40.6570095778939930.0086566618812415
0.410.6588966164615140.00809864436677528
0.420.6606493366742740.00748201277722116
0.430.6622600981017310.0068493312133536
0.440.6637296075829290.00623523628871638
0.450.6650652087372170.0056660985183039
0.460.66627881584660.00515799005132804
0.470.6673849078423610.00471712681739308
0.480.6683988628691130.00434480328394584
0.490.6693357492754450.00403768648547982
0.50.6702095499003340.0037869035063215
0.510.671032716826850.00358785325393861
0.520.6718159387378050.00343274304711883
0.530.6725680342428880.00331159612290576
0.540.6732959322798050.00321507626110181
0.550.6740047379547250.00313801846492286
0.560.6746978948792910.00307047863516482
0.570.6753774445506820.00300749787270293
0.580.6760443619387210.00294399981776312
0.590.6766989291732970.00287941686316774
0.60.6773411058920690.00281318160831840
0.610.6779708660179180.00274540523628078
0.620.6785884886171690.00267726374988795
0.630.6791948032378380.00261418723224252
0.640.6797913881602320.00255749863690204
0.650.680380701371460.00251118381923938
0.660.6809660971863220.00248054842220654
0.670.6815516635200350.00246655569181601
0.680.6821418258235920.00247272693273553
0.690.6827407165059180.00249667826824524
0.70.6833513989571480.00253042151656056
0.710.683975136131510.00256577801929652
0.720.6846109600257470.00259120791863953
0.730.6852557833724110.00259498222401435
0.740.6859051733723320.00257418185329854
0.750.68655469720170.00253004169192555
0.760.6872015170177320.00247209354749612
0.770.6878457552867050.00241567258069471
0.780.6884911555508130.00237741415547575
0.790.6891447555718210.00236985200324345
0.80.6898156064195710.00239752992791688
0.810.6905128774358530.0024556747887591
0.820.6912438442997970.00253172882588793
0.830.6920122123010760.00260759789652098
0.840.6928170590992630.00266666235688367
0.850.6936525562349810.00269291420871521
0.860.6945086622030070.00267291398143219
0.870.6953730994666260.00260277010038333
0.880.6962348646810720.00248864809510569
0.890.697089055333510.00235296680447036
0.90.6979422502418340.00223255286963402

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 0.612763432876054 & 0.00266864058743792 \tabularnewline
0.11 & 0.613778399975664 & 0.00275879364609579 \tabularnewline
0.12 & 0.614787899651327 & 0.00291207250557875 \tabularnewline
0.13 & 0.615812405534095 & 0.00311837694578277 \tabularnewline
0.14 & 0.616867198723297 & 0.00335178406128517 \tabularnewline
0.15 & 0.617959140639613 & 0.00357993259658987 \tabularnewline
0.16 & 0.619086570260534 & 0.00378014389370755 \tabularnewline
0.17 & 0.620241844679685 & 0.00394098593614517 \tabularnewline
0.18 & 0.621414832751703 & 0.00406244190865994 \tabularnewline
0.19 & 0.622596007908581 & 0.00415264446409749 \tabularnewline
0.2 & 0.62377857812433 & 0.00422340865451332 \tabularnewline
0.21 & 0.624959667536009 & 0.0042908519274648 \tabularnewline
0.22 & 0.626140769245893 & 0.00437043504115094 \tabularnewline
0.23 & 0.627327657930817 & 0.00448354252292647 \tabularnewline
0.24 & 0.628529877001641 & 0.00464021785646453 \tabularnewline
0.25 & 0.629759906990289 & 0.00485436759155933 \tabularnewline
0.26 & 0.631032167425731 & 0.00512858198215177 \tabularnewline
0.27 & 0.632362020269599 & 0.00546754684947567 \tabularnewline
0.28 & 0.633764864767982 & 0.0058717298109073 \tabularnewline
0.29 & 0.635255261443589 & 0.00633379926950973 \tabularnewline
0.3 & 0.636845894801002 & 0.00684973078186211 \tabularnewline
0.31 & 0.63854618583306 & 0.00740177606609371 \tabularnewline
0.32 & 0.640360531607052 & 0.00796464906714918 \tabularnewline
0.33 & 0.642286414205057 & 0.00850242852433252 \tabularnewline
0.34 & 0.644312853652775 & 0.0089713209614772 \tabularnewline
0.35 & 0.64641975493684 & 0.00932875726193212 \tabularnewline
0.36 & 0.648578564240594 & 0.00953726194963225 \tabularnewline
0.37 & 0.650754343017816 & 0.00957135715495896 \tabularnewline
0.38 & 0.652908998287235 & 0.0094272924870515 \tabularnewline
0.39 & 0.655005100907242 & 0.00911287497934212 \tabularnewline
0.4 & 0.657009577893993 & 0.0086566618812415 \tabularnewline
0.41 & 0.658896616461514 & 0.00809864436677528 \tabularnewline
0.42 & 0.660649336674274 & 0.00748201277722116 \tabularnewline
0.43 & 0.662260098101731 & 0.0068493312133536 \tabularnewline
0.44 & 0.663729607582929 & 0.00623523628871638 \tabularnewline
0.45 & 0.665065208737217 & 0.0056660985183039 \tabularnewline
0.46 & 0.6662788158466 & 0.00515799005132804 \tabularnewline
0.47 & 0.667384907842361 & 0.00471712681739308 \tabularnewline
0.48 & 0.668398862869113 & 0.00434480328394584 \tabularnewline
0.49 & 0.669335749275445 & 0.00403768648547982 \tabularnewline
0.5 & 0.670209549900334 & 0.0037869035063215 \tabularnewline
0.51 & 0.67103271682685 & 0.00358785325393861 \tabularnewline
0.52 & 0.671815938737805 & 0.00343274304711883 \tabularnewline
0.53 & 0.672568034242888 & 0.00331159612290576 \tabularnewline
0.54 & 0.673295932279805 & 0.00321507626110181 \tabularnewline
0.55 & 0.674004737954725 & 0.00313801846492286 \tabularnewline
0.56 & 0.674697894879291 & 0.00307047863516482 \tabularnewline
0.57 & 0.675377444550682 & 0.00300749787270293 \tabularnewline
0.58 & 0.676044361938721 & 0.00294399981776312 \tabularnewline
0.59 & 0.676698929173297 & 0.00287941686316774 \tabularnewline
0.6 & 0.677341105892069 & 0.00281318160831840 \tabularnewline
0.61 & 0.677970866017918 & 0.00274540523628078 \tabularnewline
0.62 & 0.678588488617169 & 0.00267726374988795 \tabularnewline
0.63 & 0.679194803237838 & 0.00261418723224252 \tabularnewline
0.64 & 0.679791388160232 & 0.00255749863690204 \tabularnewline
0.65 & 0.68038070137146 & 0.00251118381923938 \tabularnewline
0.66 & 0.680966097186322 & 0.00248054842220654 \tabularnewline
0.67 & 0.681551663520035 & 0.00246655569181601 \tabularnewline
0.68 & 0.682141825823592 & 0.00247272693273553 \tabularnewline
0.69 & 0.682740716505918 & 0.00249667826824524 \tabularnewline
0.7 & 0.683351398957148 & 0.00253042151656056 \tabularnewline
0.71 & 0.68397513613151 & 0.00256577801929652 \tabularnewline
0.72 & 0.684610960025747 & 0.00259120791863953 \tabularnewline
0.73 & 0.685255783372411 & 0.00259498222401435 \tabularnewline
0.74 & 0.685905173372332 & 0.00257418185329854 \tabularnewline
0.75 & 0.6865546972017 & 0.00253004169192555 \tabularnewline
0.76 & 0.687201517017732 & 0.00247209354749612 \tabularnewline
0.77 & 0.687845755286705 & 0.00241567258069471 \tabularnewline
0.78 & 0.688491155550813 & 0.00237741415547575 \tabularnewline
0.79 & 0.689144755571821 & 0.00236985200324345 \tabularnewline
0.8 & 0.689815606419571 & 0.00239752992791688 \tabularnewline
0.81 & 0.690512877435853 & 0.0024556747887591 \tabularnewline
0.82 & 0.691243844299797 & 0.00253172882588793 \tabularnewline
0.83 & 0.692012212301076 & 0.00260759789652098 \tabularnewline
0.84 & 0.692817059099263 & 0.00266666235688367 \tabularnewline
0.85 & 0.693652556234981 & 0.00269291420871521 \tabularnewline
0.86 & 0.694508662203007 & 0.00267291398143219 \tabularnewline
0.87 & 0.695373099466626 & 0.00260277010038333 \tabularnewline
0.88 & 0.696234864681072 & 0.00248864809510569 \tabularnewline
0.89 & 0.69708905533351 & 0.00235296680447036 \tabularnewline
0.9 & 0.697942250241834 & 0.00223255286963402 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13461&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.1[/C][C]0.612763432876054[/C][C]0.00266864058743792[/C][/ROW]
[ROW][C]0.11[/C][C]0.613778399975664[/C][C]0.00275879364609579[/C][/ROW]
[ROW][C]0.12[/C][C]0.614787899651327[/C][C]0.00291207250557875[/C][/ROW]
[ROW][C]0.13[/C][C]0.615812405534095[/C][C]0.00311837694578277[/C][/ROW]
[ROW][C]0.14[/C][C]0.616867198723297[/C][C]0.00335178406128517[/C][/ROW]
[ROW][C]0.15[/C][C]0.617959140639613[/C][C]0.00357993259658987[/C][/ROW]
[ROW][C]0.16[/C][C]0.619086570260534[/C][C]0.00378014389370755[/C][/ROW]
[ROW][C]0.17[/C][C]0.620241844679685[/C][C]0.00394098593614517[/C][/ROW]
[ROW][C]0.18[/C][C]0.621414832751703[/C][C]0.00406244190865994[/C][/ROW]
[ROW][C]0.19[/C][C]0.622596007908581[/C][C]0.00415264446409749[/C][/ROW]
[ROW][C]0.2[/C][C]0.62377857812433[/C][C]0.00422340865451332[/C][/ROW]
[ROW][C]0.21[/C][C]0.624959667536009[/C][C]0.0042908519274648[/C][/ROW]
[ROW][C]0.22[/C][C]0.626140769245893[/C][C]0.00437043504115094[/C][/ROW]
[ROW][C]0.23[/C][C]0.627327657930817[/C][C]0.00448354252292647[/C][/ROW]
[ROW][C]0.24[/C][C]0.628529877001641[/C][C]0.00464021785646453[/C][/ROW]
[ROW][C]0.25[/C][C]0.629759906990289[/C][C]0.00485436759155933[/C][/ROW]
[ROW][C]0.26[/C][C]0.631032167425731[/C][C]0.00512858198215177[/C][/ROW]
[ROW][C]0.27[/C][C]0.632362020269599[/C][C]0.00546754684947567[/C][/ROW]
[ROW][C]0.28[/C][C]0.633764864767982[/C][C]0.0058717298109073[/C][/ROW]
[ROW][C]0.29[/C][C]0.635255261443589[/C][C]0.00633379926950973[/C][/ROW]
[ROW][C]0.3[/C][C]0.636845894801002[/C][C]0.00684973078186211[/C][/ROW]
[ROW][C]0.31[/C][C]0.63854618583306[/C][C]0.00740177606609371[/C][/ROW]
[ROW][C]0.32[/C][C]0.640360531607052[/C][C]0.00796464906714918[/C][/ROW]
[ROW][C]0.33[/C][C]0.642286414205057[/C][C]0.00850242852433252[/C][/ROW]
[ROW][C]0.34[/C][C]0.644312853652775[/C][C]0.0089713209614772[/C][/ROW]
[ROW][C]0.35[/C][C]0.64641975493684[/C][C]0.00932875726193212[/C][/ROW]
[ROW][C]0.36[/C][C]0.648578564240594[/C][C]0.00953726194963225[/C][/ROW]
[ROW][C]0.37[/C][C]0.650754343017816[/C][C]0.00957135715495896[/C][/ROW]
[ROW][C]0.38[/C][C]0.652908998287235[/C][C]0.0094272924870515[/C][/ROW]
[ROW][C]0.39[/C][C]0.655005100907242[/C][C]0.00911287497934212[/C][/ROW]
[ROW][C]0.4[/C][C]0.657009577893993[/C][C]0.0086566618812415[/C][/ROW]
[ROW][C]0.41[/C][C]0.658896616461514[/C][C]0.00809864436677528[/C][/ROW]
[ROW][C]0.42[/C][C]0.660649336674274[/C][C]0.00748201277722116[/C][/ROW]
[ROW][C]0.43[/C][C]0.662260098101731[/C][C]0.0068493312133536[/C][/ROW]
[ROW][C]0.44[/C][C]0.663729607582929[/C][C]0.00623523628871638[/C][/ROW]
[ROW][C]0.45[/C][C]0.665065208737217[/C][C]0.0056660985183039[/C][/ROW]
[ROW][C]0.46[/C][C]0.6662788158466[/C][C]0.00515799005132804[/C][/ROW]
[ROW][C]0.47[/C][C]0.667384907842361[/C][C]0.00471712681739308[/C][/ROW]
[ROW][C]0.48[/C][C]0.668398862869113[/C][C]0.00434480328394584[/C][/ROW]
[ROW][C]0.49[/C][C]0.669335749275445[/C][C]0.00403768648547982[/C][/ROW]
[ROW][C]0.5[/C][C]0.670209549900334[/C][C]0.0037869035063215[/C][/ROW]
[ROW][C]0.51[/C][C]0.67103271682685[/C][C]0.00358785325393861[/C][/ROW]
[ROW][C]0.52[/C][C]0.671815938737805[/C][C]0.00343274304711883[/C][/ROW]
[ROW][C]0.53[/C][C]0.672568034242888[/C][C]0.00331159612290576[/C][/ROW]
[ROW][C]0.54[/C][C]0.673295932279805[/C][C]0.00321507626110181[/C][/ROW]
[ROW][C]0.55[/C][C]0.674004737954725[/C][C]0.00313801846492286[/C][/ROW]
[ROW][C]0.56[/C][C]0.674697894879291[/C][C]0.00307047863516482[/C][/ROW]
[ROW][C]0.57[/C][C]0.675377444550682[/C][C]0.00300749787270293[/C][/ROW]
[ROW][C]0.58[/C][C]0.676044361938721[/C][C]0.00294399981776312[/C][/ROW]
[ROW][C]0.59[/C][C]0.676698929173297[/C][C]0.00287941686316774[/C][/ROW]
[ROW][C]0.6[/C][C]0.677341105892069[/C][C]0.00281318160831840[/C][/ROW]
[ROW][C]0.61[/C][C]0.677970866017918[/C][C]0.00274540523628078[/C][/ROW]
[ROW][C]0.62[/C][C]0.678588488617169[/C][C]0.00267726374988795[/C][/ROW]
[ROW][C]0.63[/C][C]0.679194803237838[/C][C]0.00261418723224252[/C][/ROW]
[ROW][C]0.64[/C][C]0.679791388160232[/C][C]0.00255749863690204[/C][/ROW]
[ROW][C]0.65[/C][C]0.68038070137146[/C][C]0.00251118381923938[/C][/ROW]
[ROW][C]0.66[/C][C]0.680966097186322[/C][C]0.00248054842220654[/C][/ROW]
[ROW][C]0.67[/C][C]0.681551663520035[/C][C]0.00246655569181601[/C][/ROW]
[ROW][C]0.68[/C][C]0.682141825823592[/C][C]0.00247272693273553[/C][/ROW]
[ROW][C]0.69[/C][C]0.682740716505918[/C][C]0.00249667826824524[/C][/ROW]
[ROW][C]0.7[/C][C]0.683351398957148[/C][C]0.00253042151656056[/C][/ROW]
[ROW][C]0.71[/C][C]0.68397513613151[/C][C]0.00256577801929652[/C][/ROW]
[ROW][C]0.72[/C][C]0.684610960025747[/C][C]0.00259120791863953[/C][/ROW]
[ROW][C]0.73[/C][C]0.685255783372411[/C][C]0.00259498222401435[/C][/ROW]
[ROW][C]0.74[/C][C]0.685905173372332[/C][C]0.00257418185329854[/C][/ROW]
[ROW][C]0.75[/C][C]0.6865546972017[/C][C]0.00253004169192555[/C][/ROW]
[ROW][C]0.76[/C][C]0.687201517017732[/C][C]0.00247209354749612[/C][/ROW]
[ROW][C]0.77[/C][C]0.687845755286705[/C][C]0.00241567258069471[/C][/ROW]
[ROW][C]0.78[/C][C]0.688491155550813[/C][C]0.00237741415547575[/C][/ROW]
[ROW][C]0.79[/C][C]0.689144755571821[/C][C]0.00236985200324345[/C][/ROW]
[ROW][C]0.8[/C][C]0.689815606419571[/C][C]0.00239752992791688[/C][/ROW]
[ROW][C]0.81[/C][C]0.690512877435853[/C][C]0.0024556747887591[/C][/ROW]
[ROW][C]0.82[/C][C]0.691243844299797[/C][C]0.00253172882588793[/C][/ROW]
[ROW][C]0.83[/C][C]0.692012212301076[/C][C]0.00260759789652098[/C][/ROW]
[ROW][C]0.84[/C][C]0.692817059099263[/C][C]0.00266666235688367[/C][/ROW]
[ROW][C]0.85[/C][C]0.693652556234981[/C][C]0.00269291420871521[/C][/ROW]
[ROW][C]0.86[/C][C]0.694508662203007[/C][C]0.00267291398143219[/C][/ROW]
[ROW][C]0.87[/C][C]0.695373099466626[/C][C]0.00260277010038333[/C][/ROW]
[ROW][C]0.88[/C][C]0.696234864681072[/C][C]0.00248864809510569[/C][/ROW]
[ROW][C]0.89[/C][C]0.69708905533351[/C][C]0.00235296680447036[/C][/ROW]
[ROW][C]0.9[/C][C]0.697942250241834[/C][C]0.00223255286963402[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13461&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13461&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
0.10.6127634328760540.00266864058743792
0.110.6137783999756640.00275879364609579
0.120.6147878996513270.00291207250557875
0.130.6158124055340950.00311837694578277
0.140.6168671987232970.00335178406128517
0.150.6179591406396130.00357993259658987
0.160.6190865702605340.00378014389370755
0.170.6202418446796850.00394098593614517
0.180.6214148327517030.00406244190865994
0.190.6225960079085810.00415264446409749
0.20.623778578124330.00422340865451332
0.210.6249596675360090.0042908519274648
0.220.6261407692458930.00437043504115094
0.230.6273276579308170.00448354252292647
0.240.6285298770016410.00464021785646453
0.250.6297599069902890.00485436759155933
0.260.6310321674257310.00512858198215177
0.270.6323620202695990.00546754684947567
0.280.6337648647679820.0058717298109073
0.290.6352552614435890.00633379926950973
0.30.6368458948010020.00684973078186211
0.310.638546185833060.00740177606609371
0.320.6403605316070520.00796464906714918
0.330.6422864142050570.00850242852433252
0.340.6443128536527750.0089713209614772
0.350.646419754936840.00932875726193212
0.360.6485785642405940.00953726194963225
0.370.6507543430178160.00957135715495896
0.380.6529089982872350.0094272924870515
0.390.6550051009072420.00911287497934212
0.40.6570095778939930.0086566618812415
0.410.6588966164615140.00809864436677528
0.420.6606493366742740.00748201277722116
0.430.6622600981017310.0068493312133536
0.440.6637296075829290.00623523628871638
0.450.6650652087372170.0056660985183039
0.460.66627881584660.00515799005132804
0.470.6673849078423610.00471712681739308
0.480.6683988628691130.00434480328394584
0.490.6693357492754450.00403768648547982
0.50.6702095499003340.0037869035063215
0.510.671032716826850.00358785325393861
0.520.6718159387378050.00343274304711883
0.530.6725680342428880.00331159612290576
0.540.6732959322798050.00321507626110181
0.550.6740047379547250.00313801846492286
0.560.6746978948792910.00307047863516482
0.570.6753774445506820.00300749787270293
0.580.6760443619387210.00294399981776312
0.590.6766989291732970.00287941686316774
0.60.6773411058920690.00281318160831840
0.610.6779708660179180.00274540523628078
0.620.6785884886171690.00267726374988795
0.630.6791948032378380.00261418723224252
0.640.6797913881602320.00255749863690204
0.650.680380701371460.00251118381923938
0.660.6809660971863220.00248054842220654
0.670.6815516635200350.00246655569181601
0.680.6821418258235920.00247272693273553
0.690.6827407165059180.00249667826824524
0.70.6833513989571480.00253042151656056
0.710.683975136131510.00256577801929652
0.720.6846109600257470.00259120791863953
0.730.6852557833724110.00259498222401435
0.740.6859051733723320.00257418185329854
0.750.68655469720170.00253004169192555
0.760.6872015170177320.00247209354749612
0.770.6878457552867050.00241567258069471
0.780.6884911555508130.00237741415547575
0.790.6891447555718210.00236985200324345
0.80.6898156064195710.00239752992791688
0.810.6905128774358530.0024556747887591
0.820.6912438442997970.00253172882588793
0.830.6920122123010760.00260759789652098
0.840.6928170590992630.00266666235688367
0.850.6936525562349810.00269291420871521
0.860.6945086622030070.00267291398143219
0.870.6953730994666260.00260277010038333
0.880.6962348646810720.00248864809510569
0.890.697089055333510.00235296680447036
0.90.6979422502418340.00223255286963402


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.1 ; par2 = 0.9 ; 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')