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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, 03 Aug 2011 10:07:50 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Aug/03/t131238053780dfi8tas1nq75u.htm/, Retrieved Tue, 14 May 2024 06:44:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=123343, Retrieved Tue, 14 May 2024 06:44:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsDe Wolf Davy
Estimated Impact194

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 B - STAP 7] [2011-08-03 14:07:50] [75b7fe93b57f9e359de9d9cae642ffd9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
760
730
730
680
730
710
800
830
820
770
800
840
800
710
800
780
760
730
770
880
850
810
770
810
890
790
840
830
740
760
630
890
900
820
810
820
890
810
810
840
830
790
610
870
870
820
800
840
860
860
730
850
860
900
610
960
820
860
810
820
820
880
840
910
860
880
620
970
810
880
870
800
740
1010
850
980
880
870
660
940
860
880
1000
840
800
1060
790
930
920
840
690
940
1010
890
1000
820
800
1000
780
1010
950
830
670
1000
960
920
1040
860

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'AstonUniversity' @ aston.wessa.net

\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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123343&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123343&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123343&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'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01612.830195638377.0018190021181
0.02620.96218312278916.4331173641325
0.03633.6936970297423.6547041449129
0.04648.67559729209827.0318833947456
0.05663.75359964974327.3875107138649
0.06677.69971188388726.3841607746305
0.07690.08428461766324.8295070395697
0.08700.85299630706122.7494813975153
0.09710.0571661117120.2168959395707
0.1717.81819926596717.6672234917349
0.11724.37180729593415.7042014517661
0.12730.05967903528114.7500542553933
0.13735.25172933158114.7947816216725
0.14740.25123865244715.4437869749414
0.15745.23600681654516.2065355280929
0.16750.25508980230716.7371559381258
0.17755.2676182826716.8953140980222
0.18760.19515473321916.7130018012831
0.19764.96285142708816.2966067794537
0.2769.5184909749115.7526768917779
0.21773.83205778562915.1297056231696
0.22777.88567338946114.4248456808539
0.23781.66381250908313.6103985279981
0.24785.14947884546712.6676044527195
0.25788.326975100111.6110292467854
0.26791.18844193540310.4954457498703
0.27793.7402363825589.39913087198697
0.28796.0060463831628.40992838259128
0.29798.0254560665837.60079448373845
0.3799.8485564336117.012438258825
0.31801.5284827778166.64539561443077
0.32803.1141568654146.463037912246
0.33804.6450708226026.40780218244086
0.34806.1489931065426.42287673708949
0.35807.6424507676146.46582193317113
0.36809.1331321689556.51040552181658
0.37810.623136713146.54563605690606
0.38812.1121980149386.5709099048294
0.39813.600383294396.59378405224056
0.4815.0900757270096.6292494744002
0.41816.5871586841136.69572970241474
0.42818.1012917449216.81476573509095
0.43819.6451507957737.00189361818416
0.44821.2326313031017.26073295603625
0.45822.8763012130967.577506955251
0.46824.5847215918147.9228268829024
0.47826.3604469423638.25784631714004
0.48828.199429634558.54830367211178
0.49830.0921616854518.76831050474219
0.5832.0263109551578.91279461085453
0.51833.9900604739878.99550365969221
0.52835.975058286849.0457678646191
0.53837.9779671402299.09558158005711
0.54840.0000649593629.17010176577623
0.55842.0450395217449.27656677932692
0.56844.1157976626439.39881976346011
0.57846.2115132510629.50694778917886
0.58848.3260977660779.56495596127133
0.59850.4487808161629.54811047784787
0.6852.5667010226779.45125557133463
0.61854.6686217492139.29300704724842
0.62856.7484105324969.11137668907176
0.63858.8069588118778.9483419867319
0.64860.8517777950268.8398502468308
0.65862.8943879268368.79965964571662
0.66864.9464904292888.81634016402225
0.67867.0164334891548.85932737461485
0.68869.1074573660088.89349499028922
0.69871.218628969598.8955853695735
0.7873.348472949148.86664298448542
0.71875.5004088862588.83664568165246
0.72877.6885301150568.86203841968982
0.73879.9421753493459.017357813483
0.74882.3080999526479.3760791624683
0.75884.8496265558279.99725894306892
0.76887.64269047096210.9131153650912
0.77890.76907262187612.1199363013183
0.78894.30741630568513.5725836313912
0.79898.32305025820815.1879414485948
0.8902.85827746630716.8483766629542
0.81907.92543926190118.4203805625205
0.82913.50527755720819.7787256631203
0.83919.55244092542120.8353979990556
0.84926.00820442732321.5622072136644
0.85932.81766261771922.0007264192089
0.86939.94507556932222.2474492311315
0.87947.37755858896422.4120186324124
0.88955.10650768386622.5336060492366
0.89963.08294552178222.4898370576218
0.9971.16125807194221.9631553684329
0.91979.06975368971220.5616661301972
0.92986.45416666614218.0936160478512
0.93993.00832539717914.8263227160961
0.94998.65355738705511.4962039732236
0.951003.735414865429.05523113962787
0.961009.290822739868.70345382572915
0.971017.3114629197812.0482846955375
0.981030.1455721797417.9705012609968
0.991047.2315661526120.8130117152285

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 612.83019563837 & 7.0018190021181 \tabularnewline
0.02 & 620.962183122789 & 16.4331173641325 \tabularnewline
0.03 & 633.69369702974 & 23.6547041449129 \tabularnewline
0.04 & 648.675597292098 & 27.0318833947456 \tabularnewline
0.05 & 663.753599649743 & 27.3875107138649 \tabularnewline
0.06 & 677.699711883887 & 26.3841607746305 \tabularnewline
0.07 & 690.084284617663 & 24.8295070395697 \tabularnewline
0.08 & 700.852996307061 & 22.7494813975153 \tabularnewline
0.09 & 710.05716611171 & 20.2168959395707 \tabularnewline
0.1 & 717.818199265967 & 17.6672234917349 \tabularnewline
0.11 & 724.371807295934 & 15.7042014517661 \tabularnewline
0.12 & 730.059679035281 & 14.7500542553933 \tabularnewline
0.13 & 735.251729331581 & 14.7947816216725 \tabularnewline
0.14 & 740.251238652447 & 15.4437869749414 \tabularnewline
0.15 & 745.236006816545 & 16.2065355280929 \tabularnewline
0.16 & 750.255089802307 & 16.7371559381258 \tabularnewline
0.17 & 755.26761828267 & 16.8953140980222 \tabularnewline
0.18 & 760.195154733219 & 16.7130018012831 \tabularnewline
0.19 & 764.962851427088 & 16.2966067794537 \tabularnewline
0.2 & 769.51849097491 & 15.7526768917779 \tabularnewline
0.21 & 773.832057785629 & 15.1297056231696 \tabularnewline
0.22 & 777.885673389461 & 14.4248456808539 \tabularnewline
0.23 & 781.663812509083 & 13.6103985279981 \tabularnewline
0.24 & 785.149478845467 & 12.6676044527195 \tabularnewline
0.25 & 788.3269751001 & 11.6110292467854 \tabularnewline
0.26 & 791.188441935403 & 10.4954457498703 \tabularnewline
0.27 & 793.740236382558 & 9.39913087198697 \tabularnewline
0.28 & 796.006046383162 & 8.40992838259128 \tabularnewline
0.29 & 798.025456066583 & 7.60079448373845 \tabularnewline
0.3 & 799.848556433611 & 7.012438258825 \tabularnewline
0.31 & 801.528482777816 & 6.64539561443077 \tabularnewline
0.32 & 803.114156865414 & 6.463037912246 \tabularnewline
0.33 & 804.645070822602 & 6.40780218244086 \tabularnewline
0.34 & 806.148993106542 & 6.42287673708949 \tabularnewline
0.35 & 807.642450767614 & 6.46582193317113 \tabularnewline
0.36 & 809.133132168955 & 6.51040552181658 \tabularnewline
0.37 & 810.62313671314 & 6.54563605690606 \tabularnewline
0.38 & 812.112198014938 & 6.5709099048294 \tabularnewline
0.39 & 813.60038329439 & 6.59378405224056 \tabularnewline
0.4 & 815.090075727009 & 6.6292494744002 \tabularnewline
0.41 & 816.587158684113 & 6.69572970241474 \tabularnewline
0.42 & 818.101291744921 & 6.81476573509095 \tabularnewline
0.43 & 819.645150795773 & 7.00189361818416 \tabularnewline
0.44 & 821.232631303101 & 7.26073295603625 \tabularnewline
0.45 & 822.876301213096 & 7.577506955251 \tabularnewline
0.46 & 824.584721591814 & 7.9228268829024 \tabularnewline
0.47 & 826.360446942363 & 8.25784631714004 \tabularnewline
0.48 & 828.19942963455 & 8.54830367211178 \tabularnewline
0.49 & 830.092161685451 & 8.76831050474219 \tabularnewline
0.5 & 832.026310955157 & 8.91279461085453 \tabularnewline
0.51 & 833.990060473987 & 8.99550365969221 \tabularnewline
0.52 & 835.97505828684 & 9.0457678646191 \tabularnewline
0.53 & 837.977967140229 & 9.09558158005711 \tabularnewline
0.54 & 840.000064959362 & 9.17010176577623 \tabularnewline
0.55 & 842.045039521744 & 9.27656677932692 \tabularnewline
0.56 & 844.115797662643 & 9.39881976346011 \tabularnewline
0.57 & 846.211513251062 & 9.50694778917886 \tabularnewline
0.58 & 848.326097766077 & 9.56495596127133 \tabularnewline
0.59 & 850.448780816162 & 9.54811047784787 \tabularnewline
0.6 & 852.566701022677 & 9.45125557133463 \tabularnewline
0.61 & 854.668621749213 & 9.29300704724842 \tabularnewline
0.62 & 856.748410532496 & 9.11137668907176 \tabularnewline
0.63 & 858.806958811877 & 8.9483419867319 \tabularnewline
0.64 & 860.851777795026 & 8.8398502468308 \tabularnewline
0.65 & 862.894387926836 & 8.79965964571662 \tabularnewline
0.66 & 864.946490429288 & 8.81634016402225 \tabularnewline
0.67 & 867.016433489154 & 8.85932737461485 \tabularnewline
0.68 & 869.107457366008 & 8.89349499028922 \tabularnewline
0.69 & 871.21862896959 & 8.8955853695735 \tabularnewline
0.7 & 873.34847294914 & 8.86664298448542 \tabularnewline
0.71 & 875.500408886258 & 8.83664568165246 \tabularnewline
0.72 & 877.688530115056 & 8.86203841968982 \tabularnewline
0.73 & 879.942175349345 & 9.017357813483 \tabularnewline
0.74 & 882.308099952647 & 9.3760791624683 \tabularnewline
0.75 & 884.849626555827 & 9.99725894306892 \tabularnewline
0.76 & 887.642690470962 & 10.9131153650912 \tabularnewline
0.77 & 890.769072621876 & 12.1199363013183 \tabularnewline
0.78 & 894.307416305685 & 13.5725836313912 \tabularnewline
0.79 & 898.323050258208 & 15.1879414485948 \tabularnewline
0.8 & 902.858277466307 & 16.8483766629542 \tabularnewline
0.81 & 907.925439261901 & 18.4203805625205 \tabularnewline
0.82 & 913.505277557208 & 19.7787256631203 \tabularnewline
0.83 & 919.552440925421 & 20.8353979990556 \tabularnewline
0.84 & 926.008204427323 & 21.5622072136644 \tabularnewline
0.85 & 932.817662617719 & 22.0007264192089 \tabularnewline
0.86 & 939.945075569322 & 22.2474492311315 \tabularnewline
0.87 & 947.377558588964 & 22.4120186324124 \tabularnewline
0.88 & 955.106507683866 & 22.5336060492366 \tabularnewline
0.89 & 963.082945521782 & 22.4898370576218 \tabularnewline
0.9 & 971.161258071942 & 21.9631553684329 \tabularnewline
0.91 & 979.069753689712 & 20.5616661301972 \tabularnewline
0.92 & 986.454166666142 & 18.0936160478512 \tabularnewline
0.93 & 993.008325397179 & 14.8263227160961 \tabularnewline
0.94 & 998.653557387055 & 11.4962039732236 \tabularnewline
0.95 & 1003.73541486542 & 9.05523113962787 \tabularnewline
0.96 & 1009.29082273986 & 8.70345382572915 \tabularnewline
0.97 & 1017.31146291978 & 12.0482846955375 \tabularnewline
0.98 & 1030.14557217974 & 17.9705012609968 \tabularnewline
0.99 & 1047.23156615261 & 20.8130117152285 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123343&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]612.83019563837[/C][C]7.0018190021181[/C][/ROW]
[ROW][C]0.02[/C][C]620.962183122789[/C][C]16.4331173641325[/C][/ROW]
[ROW][C]0.03[/C][C]633.69369702974[/C][C]23.6547041449129[/C][/ROW]
[ROW][C]0.04[/C][C]648.675597292098[/C][C]27.0318833947456[/C][/ROW]
[ROW][C]0.05[/C][C]663.753599649743[/C][C]27.3875107138649[/C][/ROW]
[ROW][C]0.06[/C][C]677.699711883887[/C][C]26.3841607746305[/C][/ROW]
[ROW][C]0.07[/C][C]690.084284617663[/C][C]24.8295070395697[/C][/ROW]
[ROW][C]0.08[/C][C]700.852996307061[/C][C]22.7494813975153[/C][/ROW]
[ROW][C]0.09[/C][C]710.05716611171[/C][C]20.2168959395707[/C][/ROW]
[ROW][C]0.1[/C][C]717.818199265967[/C][C]17.6672234917349[/C][/ROW]
[ROW][C]0.11[/C][C]724.371807295934[/C][C]15.7042014517661[/C][/ROW]
[ROW][C]0.12[/C][C]730.059679035281[/C][C]14.7500542553933[/C][/ROW]
[ROW][C]0.13[/C][C]735.251729331581[/C][C]14.7947816216725[/C][/ROW]
[ROW][C]0.14[/C][C]740.251238652447[/C][C]15.4437869749414[/C][/ROW]
[ROW][C]0.15[/C][C]745.236006816545[/C][C]16.2065355280929[/C][/ROW]
[ROW][C]0.16[/C][C]750.255089802307[/C][C]16.7371559381258[/C][/ROW]
[ROW][C]0.17[/C][C]755.26761828267[/C][C]16.8953140980222[/C][/ROW]
[ROW][C]0.18[/C][C]760.195154733219[/C][C]16.7130018012831[/C][/ROW]
[ROW][C]0.19[/C][C]764.962851427088[/C][C]16.2966067794537[/C][/ROW]
[ROW][C]0.2[/C][C]769.51849097491[/C][C]15.7526768917779[/C][/ROW]
[ROW][C]0.21[/C][C]773.832057785629[/C][C]15.1297056231696[/C][/ROW]
[ROW][C]0.22[/C][C]777.885673389461[/C][C]14.4248456808539[/C][/ROW]
[ROW][C]0.23[/C][C]781.663812509083[/C][C]13.6103985279981[/C][/ROW]
[ROW][C]0.24[/C][C]785.149478845467[/C][C]12.6676044527195[/C][/ROW]
[ROW][C]0.25[/C][C]788.3269751001[/C][C]11.6110292467854[/C][/ROW]
[ROW][C]0.26[/C][C]791.188441935403[/C][C]10.4954457498703[/C][/ROW]
[ROW][C]0.27[/C][C]793.740236382558[/C][C]9.39913087198697[/C][/ROW]
[ROW][C]0.28[/C][C]796.006046383162[/C][C]8.40992838259128[/C][/ROW]
[ROW][C]0.29[/C][C]798.025456066583[/C][C]7.60079448373845[/C][/ROW]
[ROW][C]0.3[/C][C]799.848556433611[/C][C]7.012438258825[/C][/ROW]
[ROW][C]0.31[/C][C]801.528482777816[/C][C]6.64539561443077[/C][/ROW]
[ROW][C]0.32[/C][C]803.114156865414[/C][C]6.463037912246[/C][/ROW]
[ROW][C]0.33[/C][C]804.645070822602[/C][C]6.40780218244086[/C][/ROW]
[ROW][C]0.34[/C][C]806.148993106542[/C][C]6.42287673708949[/C][/ROW]
[ROW][C]0.35[/C][C]807.642450767614[/C][C]6.46582193317113[/C][/ROW]
[ROW][C]0.36[/C][C]809.133132168955[/C][C]6.51040552181658[/C][/ROW]
[ROW][C]0.37[/C][C]810.62313671314[/C][C]6.54563605690606[/C][/ROW]
[ROW][C]0.38[/C][C]812.112198014938[/C][C]6.5709099048294[/C][/ROW]
[ROW][C]0.39[/C][C]813.60038329439[/C][C]6.59378405224056[/C][/ROW]
[ROW][C]0.4[/C][C]815.090075727009[/C][C]6.6292494744002[/C][/ROW]
[ROW][C]0.41[/C][C]816.587158684113[/C][C]6.69572970241474[/C][/ROW]
[ROW][C]0.42[/C][C]818.101291744921[/C][C]6.81476573509095[/C][/ROW]
[ROW][C]0.43[/C][C]819.645150795773[/C][C]7.00189361818416[/C][/ROW]
[ROW][C]0.44[/C][C]821.232631303101[/C][C]7.26073295603625[/C][/ROW]
[ROW][C]0.45[/C][C]822.876301213096[/C][C]7.577506955251[/C][/ROW]
[ROW][C]0.46[/C][C]824.584721591814[/C][C]7.9228268829024[/C][/ROW]
[ROW][C]0.47[/C][C]826.360446942363[/C][C]8.25784631714004[/C][/ROW]
[ROW][C]0.48[/C][C]828.19942963455[/C][C]8.54830367211178[/C][/ROW]
[ROW][C]0.49[/C][C]830.092161685451[/C][C]8.76831050474219[/C][/ROW]
[ROW][C]0.5[/C][C]832.026310955157[/C][C]8.91279461085453[/C][/ROW]
[ROW][C]0.51[/C][C]833.990060473987[/C][C]8.99550365969221[/C][/ROW]
[ROW][C]0.52[/C][C]835.97505828684[/C][C]9.0457678646191[/C][/ROW]
[ROW][C]0.53[/C][C]837.977967140229[/C][C]9.09558158005711[/C][/ROW]
[ROW][C]0.54[/C][C]840.000064959362[/C][C]9.17010176577623[/C][/ROW]
[ROW][C]0.55[/C][C]842.045039521744[/C][C]9.27656677932692[/C][/ROW]
[ROW][C]0.56[/C][C]844.115797662643[/C][C]9.39881976346011[/C][/ROW]
[ROW][C]0.57[/C][C]846.211513251062[/C][C]9.50694778917886[/C][/ROW]
[ROW][C]0.58[/C][C]848.326097766077[/C][C]9.56495596127133[/C][/ROW]
[ROW][C]0.59[/C][C]850.448780816162[/C][C]9.54811047784787[/C][/ROW]
[ROW][C]0.6[/C][C]852.566701022677[/C][C]9.45125557133463[/C][/ROW]
[ROW][C]0.61[/C][C]854.668621749213[/C][C]9.29300704724842[/C][/ROW]
[ROW][C]0.62[/C][C]856.748410532496[/C][C]9.11137668907176[/C][/ROW]
[ROW][C]0.63[/C][C]858.806958811877[/C][C]8.9483419867319[/C][/ROW]
[ROW][C]0.64[/C][C]860.851777795026[/C][C]8.8398502468308[/C][/ROW]
[ROW][C]0.65[/C][C]862.894387926836[/C][C]8.79965964571662[/C][/ROW]
[ROW][C]0.66[/C][C]864.946490429288[/C][C]8.81634016402225[/C][/ROW]
[ROW][C]0.67[/C][C]867.016433489154[/C][C]8.85932737461485[/C][/ROW]
[ROW][C]0.68[/C][C]869.107457366008[/C][C]8.89349499028922[/C][/ROW]
[ROW][C]0.69[/C][C]871.21862896959[/C][C]8.8955853695735[/C][/ROW]
[ROW][C]0.7[/C][C]873.34847294914[/C][C]8.86664298448542[/C][/ROW]
[ROW][C]0.71[/C][C]875.500408886258[/C][C]8.83664568165246[/C][/ROW]
[ROW][C]0.72[/C][C]877.688530115056[/C][C]8.86203841968982[/C][/ROW]
[ROW][C]0.73[/C][C]879.942175349345[/C][C]9.017357813483[/C][/ROW]
[ROW][C]0.74[/C][C]882.308099952647[/C][C]9.3760791624683[/C][/ROW]
[ROW][C]0.75[/C][C]884.849626555827[/C][C]9.99725894306892[/C][/ROW]
[ROW][C]0.76[/C][C]887.642690470962[/C][C]10.9131153650912[/C][/ROW]
[ROW][C]0.77[/C][C]890.769072621876[/C][C]12.1199363013183[/C][/ROW]
[ROW][C]0.78[/C][C]894.307416305685[/C][C]13.5725836313912[/C][/ROW]
[ROW][C]0.79[/C][C]898.323050258208[/C][C]15.1879414485948[/C][/ROW]
[ROW][C]0.8[/C][C]902.858277466307[/C][C]16.8483766629542[/C][/ROW]
[ROW][C]0.81[/C][C]907.925439261901[/C][C]18.4203805625205[/C][/ROW]
[ROW][C]0.82[/C][C]913.505277557208[/C][C]19.7787256631203[/C][/ROW]
[ROW][C]0.83[/C][C]919.552440925421[/C][C]20.8353979990556[/C][/ROW]
[ROW][C]0.84[/C][C]926.008204427323[/C][C]21.5622072136644[/C][/ROW]
[ROW][C]0.85[/C][C]932.817662617719[/C][C]22.0007264192089[/C][/ROW]
[ROW][C]0.86[/C][C]939.945075569322[/C][C]22.2474492311315[/C][/ROW]
[ROW][C]0.87[/C][C]947.377558588964[/C][C]22.4120186324124[/C][/ROW]
[ROW][C]0.88[/C][C]955.106507683866[/C][C]22.5336060492366[/C][/ROW]
[ROW][C]0.89[/C][C]963.082945521782[/C][C]22.4898370576218[/C][/ROW]
[ROW][C]0.9[/C][C]971.161258071942[/C][C]21.9631553684329[/C][/ROW]
[ROW][C]0.91[/C][C]979.069753689712[/C][C]20.5616661301972[/C][/ROW]
[ROW][C]0.92[/C][C]986.454166666142[/C][C]18.0936160478512[/C][/ROW]
[ROW][C]0.93[/C][C]993.008325397179[/C][C]14.8263227160961[/C][/ROW]
[ROW][C]0.94[/C][C]998.653557387055[/C][C]11.4962039732236[/C][/ROW]
[ROW][C]0.95[/C][C]1003.73541486542[/C][C]9.05523113962787[/C][/ROW]
[ROW][C]0.96[/C][C]1009.29082273986[/C][C]8.70345382572915[/C][/ROW]
[ROW][C]0.97[/C][C]1017.31146291978[/C][C]12.0482846955375[/C][/ROW]
[ROW][C]0.98[/C][C]1030.14557217974[/C][C]17.9705012609968[/C][/ROW]
[ROW][C]0.99[/C][C]1047.23156615261[/C][C]20.8130117152285[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123343&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123343&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
0.01612.830195638377.0018190021181
0.02620.96218312278916.4331173641325
0.03633.6936970297423.6547041449129
0.04648.67559729209827.0318833947456
0.05663.75359964974327.3875107138649
0.06677.69971188388726.3841607746305
0.07690.08428461766324.8295070395697
0.08700.85299630706122.7494813975153
0.09710.0571661117120.2168959395707
0.1717.81819926596717.6672234917349
0.11724.37180729593415.7042014517661
0.12730.05967903528114.7500542553933
0.13735.25172933158114.7947816216725
0.14740.25123865244715.4437869749414
0.15745.23600681654516.2065355280929
0.16750.25508980230716.7371559381258
0.17755.2676182826716.8953140980222
0.18760.19515473321916.7130018012831
0.19764.96285142708816.2966067794537
0.2769.5184909749115.7526768917779
0.21773.83205778562915.1297056231696
0.22777.88567338946114.4248456808539
0.23781.66381250908313.6103985279981
0.24785.14947884546712.6676044527195
0.25788.326975100111.6110292467854
0.26791.18844193540310.4954457498703
0.27793.7402363825589.39913087198697
0.28796.0060463831628.40992838259128
0.29798.0254560665837.60079448373845
0.3799.8485564336117.012438258825
0.31801.5284827778166.64539561443077
0.32803.1141568654146.463037912246
0.33804.6450708226026.40780218244086
0.34806.1489931065426.42287673708949
0.35807.6424507676146.46582193317113
0.36809.1331321689556.51040552181658
0.37810.623136713146.54563605690606
0.38812.1121980149386.5709099048294
0.39813.600383294396.59378405224056
0.4815.0900757270096.6292494744002
0.41816.5871586841136.69572970241474
0.42818.1012917449216.81476573509095
0.43819.6451507957737.00189361818416
0.44821.2326313031017.26073295603625
0.45822.8763012130967.577506955251
0.46824.5847215918147.9228268829024
0.47826.3604469423638.25784631714004
0.48828.199429634558.54830367211178
0.49830.0921616854518.76831050474219
0.5832.0263109551578.91279461085453
0.51833.9900604739878.99550365969221
0.52835.975058286849.0457678646191
0.53837.9779671402299.09558158005711
0.54840.0000649593629.17010176577623
0.55842.0450395217449.27656677932692
0.56844.1157976626439.39881976346011
0.57846.2115132510629.50694778917886
0.58848.3260977660779.56495596127133
0.59850.4487808161629.54811047784787
0.6852.5667010226779.45125557133463
0.61854.6686217492139.29300704724842
0.62856.7484105324969.11137668907176
0.63858.8069588118778.9483419867319
0.64860.8517777950268.8398502468308
0.65862.8943879268368.79965964571662
0.66864.9464904292888.81634016402225
0.67867.0164334891548.85932737461485
0.68869.1074573660088.89349499028922
0.69871.218628969598.8955853695735
0.7873.348472949148.86664298448542
0.71875.5004088862588.83664568165246
0.72877.6885301150568.86203841968982
0.73879.9421753493459.017357813483
0.74882.3080999526479.3760791624683
0.75884.8496265558279.99725894306892
0.76887.64269047096210.9131153650912
0.77890.76907262187612.1199363013183
0.78894.30741630568513.5725836313912
0.79898.32305025820815.1879414485948
0.8902.85827746630716.8483766629542
0.81907.92543926190118.4203805625205
0.82913.50527755720819.7787256631203
0.83919.55244092542120.8353979990556
0.84926.00820442732321.5622072136644
0.85932.81766261771922.0007264192089
0.86939.94507556932222.2474492311315
0.87947.37755858896422.4120186324124
0.88955.10650768386622.5336060492366
0.89963.08294552178222.4898370576218
0.9971.16125807194221.9631553684329
0.91979.06975368971220.5616661301972
0.92986.45416666614218.0936160478512
0.93993.00832539717914.8263227160961
0.94998.65355738705511.4962039732236
0.951003.735414865429.05523113962787
0.961009.290822739868.70345382572915
0.971017.3114629197812.0482846955375
0.981030.1455721797417.9705012609968
0.991047.2315661526120.8130117152285


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')