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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 19 Nov 2010 08:48:34 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/19/t1290156512u5jwecuec71wuso.htm/, Retrieved Fri, 03 May 2024 16:38:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=97850, Retrieved Fri, 03 May 2024 16:38:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [] [2010-10-20 18:18:38] [b98453cac15ba1066b407e146608df68]
- RMP   [Harrell-Davis Quantiles] [] [2010-11-04 21:27:04] [b98453cac15ba1066b407e146608df68]
-   PD      [Harrell-Davis Quantiles] [] [2010-11-19 08:48:34] [a8abc7260f3c847aeac0a796e7895a2e] [Current]
-    D        [Harrell-Davis Quantiles] [tec buy] [2010-11-19 09:11:15] [fc9068db680cd880760a7c0fccd81a61]
-    D        [Harrell-Davis Quantiles] [apo buy] [2010-11-19 09:15:58] [fc9068db680cd880760a7c0fccd81a61]
-    D        [Harrell-Davis Quantiles] [che buy] [2010-11-19 09:18:48] [fc9068db680cd880760a7c0fccd81a61]
-   PD        [Harrell-Davis Quantiles] [HAR SELL] [2010-11-19 09:21:06] [fc9068db680cd880760a7c0fccd81a61]
-    D        [Harrell-Davis Quantiles] [HAR Buy] [2010-11-19 09:21:14] [fc9068db680cd880760a7c0fccd81a61]
-    D        [Harrell-Davis Quantiles] [pap buy] [2010-11-19 09:23:28] [fc9068db680cd880760a7c0fccd81a61]
-   PD        [Harrell-Davis Quantiles] [pap sell] [2010-11-19 09:23:23] [fc9068db680cd880760a7c0fccd81a61]
-   PD        [Harrell-Davis Quantiles] [FLA SHORT] [2010-11-19 09:44:49] [fc9068db680cd880760a7c0fccd81a61]
-   PD        [Harrell-Davis Quantiles] [GRB SHORT] [2010-11-19 09:47:51] [fc9068db680cd880760a7c0fccd81a61]
-   PD        [Harrell-Davis Quantiles] [TIN SHORT] [2010-11-19 09:48:56] [fc9068db680cd880760a7c0fccd81a61]
-   PD        [Harrell-Davis Quantiles] [GUN SHORT] [2010-11-19 09:51:31] [fc9068db680cd880760a7c0fccd81a61]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97850&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97850&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97850&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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.90.003161059559520640.000102365848023108
0.9010.003168820474749970.000110693207916250
0.9020.003177234104083350.000120034181446923
0.9030.00318637098607870.000130374797550318
0.9040.003196301190298040.000141691352855025
0.9050.003207093829155120.000153956508870331
0.9060.003218816479948620.000167145934023036
0.9070.003231534524919530.000181212699445650
0.9080.003245310420790810.000196098039388974
0.9090.003260202912879990.000211747195377387
0.910.003276266212377350.000228078510383469
0.9110.003293549158592970.000245001188519749
0.9120.003312094390718820.000262415401581284
0.9130.003331937555743830.000280202991634138
0.9140.003353106580419210.000298244174123396
0.9150.003375621035426610.000316404263589302
0.9160.003399491619006520.000334537696890972
0.9170.003424719785145220.000352502030933146
0.9180.003451297537931140.000370151333381013
0.9190.003479207408869820.000387327749652917
0.920.003508422627855250.000403892285924844
0.9210.003538907491274060.000419707675299115
0.9220.003570617922592210.000434645535519942
0.9230.003603502212044650.000448595051044155
0.9240.003637501913097580.000461456983117914
0.9250.003672552864626840.000473153866734574
0.9260.003708586299748450.000483628229886654
0.9270.003745529995468350.000492848019040305
0.9280.00378330941230560.000500796391388787
0.9290.003821848770268330.00050748376535423
0.930.00386107200743730.00051293994109183
0.9310.003900903570243360.000517207108730675
0.9320.003941268990477970.000520347750769307
0.9330.003982095213145820.000522435123130312
0.9340.004023310651257810.00052353956869923
0.9350.004064844958168910.000523734697305563
0.9360.00410662852448140.000523088953414694
0.9370.004148591724061470.000521663865467998
0.9380.004190663951397850.000519490723605032
0.9390.004232772509291260.000516592730110931
0.940.004274841420574150.000512966364598107
0.9410.004316790249108910.000508583815567403
0.9420.004358533022682420.000503395840284985
0.9430.004399977352766660.000497330368997525
0.9440.004441023842868030.000490300193194811
0.9450.004481565868087940.000482214609006651
0.9460.004521489793690230.000472971122095569
0.9470.004560675680456850.000462481966471172
0.9480.004598998500366670.000450661183850241
0.9490.00463632985899920.000437455209688771
0.950.004672540192726840.00042283544225072
0.9510.004707501381143750.000406801982517295
0.9520.004741089690355790.000389405667137262
0.9530.004773188942805650.000370725130008164
0.9540.004803693796191390.000350886122054178
0.9550.004832513009466910.000330049500413808
0.9560.004859572579238500.000308421277129518
0.9570.004884818645981890.000286227918072808
0.9580.00490822009677180.000263729147817556
0.9590.004929770829451820.00024119560187703
0.960.004949491691606160.000218906065816177
0.9610.00496743216494730.000197149954265912
0.9620.004983671929751840.000176204790326792
0.9630.00499832251190030.000156335679985005
0.9640.005011529282985590.000137804169540693
0.9650.005023474146480310.000120859257116188
0.9660.005034379292736150.000105760957700496
0.9670.00504451243265919.27960828792732e-05
0.9680.005054193911090348.23331334767035e-05
0.9690.005063806039581657.48798873229153e-05
0.970.005073804854677517.11213095386837e-05
0.9710.005084734280863137.18843072316911e-05
0.9720.00509724233785997.79491145383877e-05
0.9730.005112098568526048.99318557361622e-05
0.9740.005130211280766390.000108345839912321
0.9750.005152642525185430.000133756948479966
0.9760.005180618036887790.000166882565117736
0.9770.005215528766067040.000208518762793805
0.9780.005258920262863990.000259422701095683
0.9790.005312466252134250.000320153611358982
0.980.005377923413717140.000390891242733165
0.9810.00545706579307670.000471251642710997
0.9820.005551599388791490.000560101725297789
0.9830.005663060064722120.000655436320053156
0.9840.005792700515670640.000754313681614553
0.9850.005941373828500060.000852926243597896
0.9860.006109421374354680.000946794033941612
0.9870.006296570687937340.00103113015826959
0.9880.00650184462885970.00110129479986583
0.9890.006723477609473520.00115326897822545
0.990.00695883060525140.00118396292141719
0.9910.00720429791570210.00119119997390418
0.9920.00745520937309280.00117323038466690
0.9930.007705754335585120.00112791504914759
0.9940.007948986329351090.00105207834940960
0.9950.008177000618438490.00094192008220660
0.9960.00838139454725540.000795308527765141
0.9970.008554100521198360.000616011050866681
0.9980.008688604523777850.000418647362155738
0.9990.0087814225774360.000232299937186058

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.9 & 0.00316105955952064 & 0.000102365848023108 \tabularnewline
0.901 & 0.00316882047474997 & 0.000110693207916250 \tabularnewline
0.902 & 0.00317723410408335 & 0.000120034181446923 \tabularnewline
0.903 & 0.0031863709860787 & 0.000130374797550318 \tabularnewline
0.904 & 0.00319630119029804 & 0.000141691352855025 \tabularnewline
0.905 & 0.00320709382915512 & 0.000153956508870331 \tabularnewline
0.906 & 0.00321881647994862 & 0.000167145934023036 \tabularnewline
0.907 & 0.00323153452491953 & 0.000181212699445650 \tabularnewline
0.908 & 0.00324531042079081 & 0.000196098039388974 \tabularnewline
0.909 & 0.00326020291287999 & 0.000211747195377387 \tabularnewline
0.91 & 0.00327626621237735 & 0.000228078510383469 \tabularnewline
0.911 & 0.00329354915859297 & 0.000245001188519749 \tabularnewline
0.912 & 0.00331209439071882 & 0.000262415401581284 \tabularnewline
0.913 & 0.00333193755574383 & 0.000280202991634138 \tabularnewline
0.914 & 0.00335310658041921 & 0.000298244174123396 \tabularnewline
0.915 & 0.00337562103542661 & 0.000316404263589302 \tabularnewline
0.916 & 0.00339949161900652 & 0.000334537696890972 \tabularnewline
0.917 & 0.00342471978514522 & 0.000352502030933146 \tabularnewline
0.918 & 0.00345129753793114 & 0.000370151333381013 \tabularnewline
0.919 & 0.00347920740886982 & 0.000387327749652917 \tabularnewline
0.92 & 0.00350842262785525 & 0.000403892285924844 \tabularnewline
0.921 & 0.00353890749127406 & 0.000419707675299115 \tabularnewline
0.922 & 0.00357061792259221 & 0.000434645535519942 \tabularnewline
0.923 & 0.00360350221204465 & 0.000448595051044155 \tabularnewline
0.924 & 0.00363750191309758 & 0.000461456983117914 \tabularnewline
0.925 & 0.00367255286462684 & 0.000473153866734574 \tabularnewline
0.926 & 0.00370858629974845 & 0.000483628229886654 \tabularnewline
0.927 & 0.00374552999546835 & 0.000492848019040305 \tabularnewline
0.928 & 0.0037833094123056 & 0.000500796391388787 \tabularnewline
0.929 & 0.00382184877026833 & 0.00050748376535423 \tabularnewline
0.93 & 0.0038610720074373 & 0.00051293994109183 \tabularnewline
0.931 & 0.00390090357024336 & 0.000517207108730675 \tabularnewline
0.932 & 0.00394126899047797 & 0.000520347750769307 \tabularnewline
0.933 & 0.00398209521314582 & 0.000522435123130312 \tabularnewline
0.934 & 0.00402331065125781 & 0.00052353956869923 \tabularnewline
0.935 & 0.00406484495816891 & 0.000523734697305563 \tabularnewline
0.936 & 0.0041066285244814 & 0.000523088953414694 \tabularnewline
0.937 & 0.00414859172406147 & 0.000521663865467998 \tabularnewline
0.938 & 0.00419066395139785 & 0.000519490723605032 \tabularnewline
0.939 & 0.00423277250929126 & 0.000516592730110931 \tabularnewline
0.94 & 0.00427484142057415 & 0.000512966364598107 \tabularnewline
0.941 & 0.00431679024910891 & 0.000508583815567403 \tabularnewline
0.942 & 0.00435853302268242 & 0.000503395840284985 \tabularnewline
0.943 & 0.00439997735276666 & 0.000497330368997525 \tabularnewline
0.944 & 0.00444102384286803 & 0.000490300193194811 \tabularnewline
0.945 & 0.00448156586808794 & 0.000482214609006651 \tabularnewline
0.946 & 0.00452148979369023 & 0.000472971122095569 \tabularnewline
0.947 & 0.00456067568045685 & 0.000462481966471172 \tabularnewline
0.948 & 0.00459899850036667 & 0.000450661183850241 \tabularnewline
0.949 & 0.0046363298589992 & 0.000437455209688771 \tabularnewline
0.95 & 0.00467254019272684 & 0.00042283544225072 \tabularnewline
0.951 & 0.00470750138114375 & 0.000406801982517295 \tabularnewline
0.952 & 0.00474108969035579 & 0.000389405667137262 \tabularnewline
0.953 & 0.00477318894280565 & 0.000370725130008164 \tabularnewline
0.954 & 0.00480369379619139 & 0.000350886122054178 \tabularnewline
0.955 & 0.00483251300946691 & 0.000330049500413808 \tabularnewline
0.956 & 0.00485957257923850 & 0.000308421277129518 \tabularnewline
0.957 & 0.00488481864598189 & 0.000286227918072808 \tabularnewline
0.958 & 0.0049082200967718 & 0.000263729147817556 \tabularnewline
0.959 & 0.00492977082945182 & 0.00024119560187703 \tabularnewline
0.96 & 0.00494949169160616 & 0.000218906065816177 \tabularnewline
0.961 & 0.0049674321649473 & 0.000197149954265912 \tabularnewline
0.962 & 0.00498367192975184 & 0.000176204790326792 \tabularnewline
0.963 & 0.0049983225119003 & 0.000156335679985005 \tabularnewline
0.964 & 0.00501152928298559 & 0.000137804169540693 \tabularnewline
0.965 & 0.00502347414648031 & 0.000120859257116188 \tabularnewline
0.966 & 0.00503437929273615 & 0.000105760957700496 \tabularnewline
0.967 & 0.0050445124326591 & 9.27960828792732e-05 \tabularnewline
0.968 & 0.00505419391109034 & 8.23331334767035e-05 \tabularnewline
0.969 & 0.00506380603958165 & 7.48798873229153e-05 \tabularnewline
0.97 & 0.00507380485467751 & 7.11213095386837e-05 \tabularnewline
0.971 & 0.00508473428086313 & 7.18843072316911e-05 \tabularnewline
0.972 & 0.0050972423378599 & 7.79491145383877e-05 \tabularnewline
0.973 & 0.00511209856852604 & 8.99318557361622e-05 \tabularnewline
0.974 & 0.00513021128076639 & 0.000108345839912321 \tabularnewline
0.975 & 0.00515264252518543 & 0.000133756948479966 \tabularnewline
0.976 & 0.00518061803688779 & 0.000166882565117736 \tabularnewline
0.977 & 0.00521552876606704 & 0.000208518762793805 \tabularnewline
0.978 & 0.00525892026286399 & 0.000259422701095683 \tabularnewline
0.979 & 0.00531246625213425 & 0.000320153611358982 \tabularnewline
0.98 & 0.00537792341371714 & 0.000390891242733165 \tabularnewline
0.981 & 0.0054570657930767 & 0.000471251642710997 \tabularnewline
0.982 & 0.00555159938879149 & 0.000560101725297789 \tabularnewline
0.983 & 0.00566306006472212 & 0.000655436320053156 \tabularnewline
0.984 & 0.00579270051567064 & 0.000754313681614553 \tabularnewline
0.985 & 0.00594137382850006 & 0.000852926243597896 \tabularnewline
0.986 & 0.00610942137435468 & 0.000946794033941612 \tabularnewline
0.987 & 0.00629657068793734 & 0.00103113015826959 \tabularnewline
0.988 & 0.0065018446288597 & 0.00110129479986583 \tabularnewline
0.989 & 0.00672347760947352 & 0.00115326897822545 \tabularnewline
0.99 & 0.0069588306052514 & 0.00118396292141719 \tabularnewline
0.991 & 0.0072042979157021 & 0.00119119997390418 \tabularnewline
0.992 & 0.0074552093730928 & 0.00117323038466690 \tabularnewline
0.993 & 0.00770575433558512 & 0.00112791504914759 \tabularnewline
0.994 & 0.00794898632935109 & 0.00105207834940960 \tabularnewline
0.995 & 0.00817700061843849 & 0.00094192008220660 \tabularnewline
0.996 & 0.0083813945472554 & 0.000795308527765141 \tabularnewline
0.997 & 0.00855410052119836 & 0.000616011050866681 \tabularnewline
0.998 & 0.00868860452377785 & 0.000418647362155738 \tabularnewline
0.999 & 0.008781422577436 & 0.000232299937186058 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97850&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.9[/C][C]0.00316105955952064[/C][C]0.000102365848023108[/C][/ROW]
[ROW][C]0.901[/C][C]0.00316882047474997[/C][C]0.000110693207916250[/C][/ROW]
[ROW][C]0.902[/C][C]0.00317723410408335[/C][C]0.000120034181446923[/C][/ROW]
[ROW][C]0.903[/C][C]0.0031863709860787[/C][C]0.000130374797550318[/C][/ROW]
[ROW][C]0.904[/C][C]0.00319630119029804[/C][C]0.000141691352855025[/C][/ROW]
[ROW][C]0.905[/C][C]0.00320709382915512[/C][C]0.000153956508870331[/C][/ROW]
[ROW][C]0.906[/C][C]0.00321881647994862[/C][C]0.000167145934023036[/C][/ROW]
[ROW][C]0.907[/C][C]0.00323153452491953[/C][C]0.000181212699445650[/C][/ROW]
[ROW][C]0.908[/C][C]0.00324531042079081[/C][C]0.000196098039388974[/C][/ROW]
[ROW][C]0.909[/C][C]0.00326020291287999[/C][C]0.000211747195377387[/C][/ROW]
[ROW][C]0.91[/C][C]0.00327626621237735[/C][C]0.000228078510383469[/C][/ROW]
[ROW][C]0.911[/C][C]0.00329354915859297[/C][C]0.000245001188519749[/C][/ROW]
[ROW][C]0.912[/C][C]0.00331209439071882[/C][C]0.000262415401581284[/C][/ROW]
[ROW][C]0.913[/C][C]0.00333193755574383[/C][C]0.000280202991634138[/C][/ROW]
[ROW][C]0.914[/C][C]0.00335310658041921[/C][C]0.000298244174123396[/C][/ROW]
[ROW][C]0.915[/C][C]0.00337562103542661[/C][C]0.000316404263589302[/C][/ROW]
[ROW][C]0.916[/C][C]0.00339949161900652[/C][C]0.000334537696890972[/C][/ROW]
[ROW][C]0.917[/C][C]0.00342471978514522[/C][C]0.000352502030933146[/C][/ROW]
[ROW][C]0.918[/C][C]0.00345129753793114[/C][C]0.000370151333381013[/C][/ROW]
[ROW][C]0.919[/C][C]0.00347920740886982[/C][C]0.000387327749652917[/C][/ROW]
[ROW][C]0.92[/C][C]0.00350842262785525[/C][C]0.000403892285924844[/C][/ROW]
[ROW][C]0.921[/C][C]0.00353890749127406[/C][C]0.000419707675299115[/C][/ROW]
[ROW][C]0.922[/C][C]0.00357061792259221[/C][C]0.000434645535519942[/C][/ROW]
[ROW][C]0.923[/C][C]0.00360350221204465[/C][C]0.000448595051044155[/C][/ROW]
[ROW][C]0.924[/C][C]0.00363750191309758[/C][C]0.000461456983117914[/C][/ROW]
[ROW][C]0.925[/C][C]0.00367255286462684[/C][C]0.000473153866734574[/C][/ROW]
[ROW][C]0.926[/C][C]0.00370858629974845[/C][C]0.000483628229886654[/C][/ROW]
[ROW][C]0.927[/C][C]0.00374552999546835[/C][C]0.000492848019040305[/C][/ROW]
[ROW][C]0.928[/C][C]0.0037833094123056[/C][C]0.000500796391388787[/C][/ROW]
[ROW][C]0.929[/C][C]0.00382184877026833[/C][C]0.00050748376535423[/C][/ROW]
[ROW][C]0.93[/C][C]0.0038610720074373[/C][C]0.00051293994109183[/C][/ROW]
[ROW][C]0.931[/C][C]0.00390090357024336[/C][C]0.000517207108730675[/C][/ROW]
[ROW][C]0.932[/C][C]0.00394126899047797[/C][C]0.000520347750769307[/C][/ROW]
[ROW][C]0.933[/C][C]0.00398209521314582[/C][C]0.000522435123130312[/C][/ROW]
[ROW][C]0.934[/C][C]0.00402331065125781[/C][C]0.00052353956869923[/C][/ROW]
[ROW][C]0.935[/C][C]0.00406484495816891[/C][C]0.000523734697305563[/C][/ROW]
[ROW][C]0.936[/C][C]0.0041066285244814[/C][C]0.000523088953414694[/C][/ROW]
[ROW][C]0.937[/C][C]0.00414859172406147[/C][C]0.000521663865467998[/C][/ROW]
[ROW][C]0.938[/C][C]0.00419066395139785[/C][C]0.000519490723605032[/C][/ROW]
[ROW][C]0.939[/C][C]0.00423277250929126[/C][C]0.000516592730110931[/C][/ROW]
[ROW][C]0.94[/C][C]0.00427484142057415[/C][C]0.000512966364598107[/C][/ROW]
[ROW][C]0.941[/C][C]0.00431679024910891[/C][C]0.000508583815567403[/C][/ROW]
[ROW][C]0.942[/C][C]0.00435853302268242[/C][C]0.000503395840284985[/C][/ROW]
[ROW][C]0.943[/C][C]0.00439997735276666[/C][C]0.000497330368997525[/C][/ROW]
[ROW][C]0.944[/C][C]0.00444102384286803[/C][C]0.000490300193194811[/C][/ROW]
[ROW][C]0.945[/C][C]0.00448156586808794[/C][C]0.000482214609006651[/C][/ROW]
[ROW][C]0.946[/C][C]0.00452148979369023[/C][C]0.000472971122095569[/C][/ROW]
[ROW][C]0.947[/C][C]0.00456067568045685[/C][C]0.000462481966471172[/C][/ROW]
[ROW][C]0.948[/C][C]0.00459899850036667[/C][C]0.000450661183850241[/C][/ROW]
[ROW][C]0.949[/C][C]0.0046363298589992[/C][C]0.000437455209688771[/C][/ROW]
[ROW][C]0.95[/C][C]0.00467254019272684[/C][C]0.00042283544225072[/C][/ROW]
[ROW][C]0.951[/C][C]0.00470750138114375[/C][C]0.000406801982517295[/C][/ROW]
[ROW][C]0.952[/C][C]0.00474108969035579[/C][C]0.000389405667137262[/C][/ROW]
[ROW][C]0.953[/C][C]0.00477318894280565[/C][C]0.000370725130008164[/C][/ROW]
[ROW][C]0.954[/C][C]0.00480369379619139[/C][C]0.000350886122054178[/C][/ROW]
[ROW][C]0.955[/C][C]0.00483251300946691[/C][C]0.000330049500413808[/C][/ROW]
[ROW][C]0.956[/C][C]0.00485957257923850[/C][C]0.000308421277129518[/C][/ROW]
[ROW][C]0.957[/C][C]0.00488481864598189[/C][C]0.000286227918072808[/C][/ROW]
[ROW][C]0.958[/C][C]0.0049082200967718[/C][C]0.000263729147817556[/C][/ROW]
[ROW][C]0.959[/C][C]0.00492977082945182[/C][C]0.00024119560187703[/C][/ROW]
[ROW][C]0.96[/C][C]0.00494949169160616[/C][C]0.000218906065816177[/C][/ROW]
[ROW][C]0.961[/C][C]0.0049674321649473[/C][C]0.000197149954265912[/C][/ROW]
[ROW][C]0.962[/C][C]0.00498367192975184[/C][C]0.000176204790326792[/C][/ROW]
[ROW][C]0.963[/C][C]0.0049983225119003[/C][C]0.000156335679985005[/C][/ROW]
[ROW][C]0.964[/C][C]0.00501152928298559[/C][C]0.000137804169540693[/C][/ROW]
[ROW][C]0.965[/C][C]0.00502347414648031[/C][C]0.000120859257116188[/C][/ROW]
[ROW][C]0.966[/C][C]0.00503437929273615[/C][C]0.000105760957700496[/C][/ROW]
[ROW][C]0.967[/C][C]0.0050445124326591[/C][C]9.27960828792732e-05[/C][/ROW]
[ROW][C]0.968[/C][C]0.00505419391109034[/C][C]8.23331334767035e-05[/C][/ROW]
[ROW][C]0.969[/C][C]0.00506380603958165[/C][C]7.48798873229153e-05[/C][/ROW]
[ROW][C]0.97[/C][C]0.00507380485467751[/C][C]7.11213095386837e-05[/C][/ROW]
[ROW][C]0.971[/C][C]0.00508473428086313[/C][C]7.18843072316911e-05[/C][/ROW]
[ROW][C]0.972[/C][C]0.0050972423378599[/C][C]7.79491145383877e-05[/C][/ROW]
[ROW][C]0.973[/C][C]0.00511209856852604[/C][C]8.99318557361622e-05[/C][/ROW]
[ROW][C]0.974[/C][C]0.00513021128076639[/C][C]0.000108345839912321[/C][/ROW]
[ROW][C]0.975[/C][C]0.00515264252518543[/C][C]0.000133756948479966[/C][/ROW]
[ROW][C]0.976[/C][C]0.00518061803688779[/C][C]0.000166882565117736[/C][/ROW]
[ROW][C]0.977[/C][C]0.00521552876606704[/C][C]0.000208518762793805[/C][/ROW]
[ROW][C]0.978[/C][C]0.00525892026286399[/C][C]0.000259422701095683[/C][/ROW]
[ROW][C]0.979[/C][C]0.00531246625213425[/C][C]0.000320153611358982[/C][/ROW]
[ROW][C]0.98[/C][C]0.00537792341371714[/C][C]0.000390891242733165[/C][/ROW]
[ROW][C]0.981[/C][C]0.0054570657930767[/C][C]0.000471251642710997[/C][/ROW]
[ROW][C]0.982[/C][C]0.00555159938879149[/C][C]0.000560101725297789[/C][/ROW]
[ROW][C]0.983[/C][C]0.00566306006472212[/C][C]0.000655436320053156[/C][/ROW]
[ROW][C]0.984[/C][C]0.00579270051567064[/C][C]0.000754313681614553[/C][/ROW]
[ROW][C]0.985[/C][C]0.00594137382850006[/C][C]0.000852926243597896[/C][/ROW]
[ROW][C]0.986[/C][C]0.00610942137435468[/C][C]0.000946794033941612[/C][/ROW]
[ROW][C]0.987[/C][C]0.00629657068793734[/C][C]0.00103113015826959[/C][/ROW]
[ROW][C]0.988[/C][C]0.0065018446288597[/C][C]0.00110129479986583[/C][/ROW]
[ROW][C]0.989[/C][C]0.00672347760947352[/C][C]0.00115326897822545[/C][/ROW]
[ROW][C]0.99[/C][C]0.0069588306052514[/C][C]0.00118396292141719[/C][/ROW]
[ROW][C]0.991[/C][C]0.0072042979157021[/C][C]0.00119119997390418[/C][/ROW]
[ROW][C]0.992[/C][C]0.0074552093730928[/C][C]0.00117323038466690[/C][/ROW]
[ROW][C]0.993[/C][C]0.00770575433558512[/C][C]0.00112791504914759[/C][/ROW]
[ROW][C]0.994[/C][C]0.00794898632935109[/C][C]0.00105207834940960[/C][/ROW]
[ROW][C]0.995[/C][C]0.00817700061843849[/C][C]0.00094192008220660[/C][/ROW]
[ROW][C]0.996[/C][C]0.0083813945472554[/C][C]0.000795308527765141[/C][/ROW]
[ROW][C]0.997[/C][C]0.00855410052119836[/C][C]0.000616011050866681[/C][/ROW]
[ROW][C]0.998[/C][C]0.00868860452377785[/C][C]0.000418647362155738[/C][/ROW]
[ROW][C]0.999[/C][C]0.008781422577436[/C][C]0.000232299937186058[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97850&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97850&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
0.90.003161059559520640.000102365848023108
0.9010.003168820474749970.000110693207916250
0.9020.003177234104083350.000120034181446923
0.9030.00318637098607870.000130374797550318
0.9040.003196301190298040.000141691352855025
0.9050.003207093829155120.000153956508870331
0.9060.003218816479948620.000167145934023036
0.9070.003231534524919530.000181212699445650
0.9080.003245310420790810.000196098039388974
0.9090.003260202912879990.000211747195377387
0.910.003276266212377350.000228078510383469
0.9110.003293549158592970.000245001188519749
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Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.90 ; par2 = 0.999 ; par3 = 0.001 ;
Parameters (R input):
par1 = 0.90 ; par2 = 0.999 ; par3 = 0.001 ;
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')