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*Unverified author*

R Software Module

rwasp_harrell_davis.wasp

Title produced by software

Harrell-Davis Quantiles

Date of computation

Tue, 01 Oct 2013 04:37:45 -0400

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/01/t1380616709gm2f4c01vdwvoqa.htm/, Retrieved Sat, 27 Apr 2024 07:43:12 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212518, Retrieved Sat, 27 Apr 2024 07:43:12 +0000

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Estimated Impact

136

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-       [Harrell-Davis Quantiles] [Kostprijs autover...] [2013-10-01 08:37:45] [03d0abbf0157d1e4219f14a778968579] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212518&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212518&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212518&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Harrell-Davis Quantiles
quantiles	value	standard error
0.01	105.641726359049	0.773205511906538
0.02	106.2202854139	1.49429630386853
0.03	106.993858655182	1.70827884232919
0.04	107.769290735665	1.48373988351695
0.05	108.408366291517	1.08605653654752
0.06	108.866460677395	0.714468795070606
0.07	109.165549633418	0.448872680762331
0.08	109.353142786202	0.295285451163794
0.09	109.475162573777	0.233936599508237
0.1	109.565606722712	0.236785654471665
0.11	109.646016118303	0.274255665191183
0.12	109.728293784349	0.324984470250154
0.13	109.817657683276	0.374936225277852
0.14	109.914874208224	0.414218593744637
0.15	110.017901942682	0.436623834500829
0.16	110.123214334154	0.439877389469448
0.17	110.226913802767	0.425560566224882
0.18	110.325602402024	0.39820292065744
0.19	110.416932686567	0.363733545090395
0.2	110.499808911153	0.328179053985299
0.21	110.574285625779	0.296355893304595
0.22	110.641268511555	0.271078255304466
0.23	110.702138774555	0.253484336656179
0.24	110.758401630588	0.242793110168418
0.25	110.811419493881	0.237452718174361
0.26	110.862250438767	0.235473450248838
0.27	110.911584092754	0.234744189441131
0.28	110.959753140022	0.233784912146002
0.29	111.00679567478	0.23131566422728
0.3	111.052546315913	0.226720027079654
0.31	111.096737967686	0.219729006524685
0.32	111.139099424272	0.210844911422119
0.33	111.179436673219	0.200722009968795
0.34	111.217688613403	0.190395006314335
0.35	111.253951654694	0.180900660878892
0.36	111.288472318052	0.173305821391254
0.37	111.321611863016	0.168273777033442
0.38	111.353791185539	0.165965085371973
0.39	111.385426898522	0.166121923320649
0.4	111.416870147745	0.168014132229524
0.41	111.448358312843	0.170819422683508
0.42	111.479986696872	0.17343675459079
0.43	111.511703296507	0.17490862328931
0.44	111.543325560479	0.174659294460548
0.45	111.574574441287	0.172271783924524
0.46	111.605118614796	0.167543468478816
0.47	111.63462081881	0.160766788615811
0.48	111.662778877875	0.152275917001976
0.49	111.689355876655	0.142529424269647
0.5	111.714196628745	0.13228269983144
0.51	111.737230454407	0.121854740838192
0.52	111.758462737841	0.111699380012535
0.53	111.777959330876	0.102239809786421
0.54	111.795828381453	0.0934875083488821
0.55	111.812203625654	0.0855756452496454
0.56	111.827231851677	0.0785015755545426
0.57	111.841065530465	0.0721977106581708
0.58	111.853859957574	0.0666889279631146
0.59	111.865773045248	0.0619399066034781
0.6	111.876965377667	0.0580121354336158
0.61	111.887598348925	0.0550004107451765
0.62	111.897829023296	0.0528506869409434
0.63	111.907801547386	0.0516523583156284
0.64	111.917636203135	0.0510912219646524
0.65	111.927418229882	0.0509551110414839
0.66	111.93718913895	0.0509619452695041
0.67	111.94694327412	0.0508736777971456
0.68	111.956631835761	0.0503822188319161
0.69	111.966175608042	0.0492811684278793
0.7	111.975486433548	0.0475381412590064
0.71	111.984496344108	0.0451713368161442
0.72	111.993192416324	0.0425741130646621
0.73	112.001654949333	0.0402740562723862
0.74	112.010096268233	0.0389246805238218
0.75	112.018896864248	0.0394072908195989
0.76	112.028634095929	0.043002625615717
0.77	112.040095964388	0.0506572176823438
0.78	112.054269029065	0.0631772908060132
0.79	112.072287151966	0.0809038831398584
0.8	112.095329603662	0.10350674145589
0.81	112.124466777306	0.130090779853646
0.82	112.160471447277	0.158741637008214
0.83	112.203640875073	0.186810611590574
0.84	112.253700798049	0.211276973898207
0.85	112.309869795647	0.229353087106289
0.86	112.371132018499	0.239767690682014
0.87	112.436685443135	0.243509241017936
0.88	112.506412032163	0.244451959282924
0.89	112.58110251615	0.248435144731534
0.9	112.662145543248	0.260123659614367
0.91	112.75054752307	0.278368597965037
0.92	112.845509934923	0.294441083659433
0.93	112.943231455158	0.295381390698353
0.94	113.036828637461	0.270571457556069
0.95	113.117949520909	0.218477491395756
0.96	113.179721529888	0.149537771214956
0.97	113.219596644124	0.0820599271363163
0.98	113.240317014242	0.0327562667822215
0.99	113.248226131404	0.00743447590953585

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 105.641726359049 & 0.773205511906538 \tabularnewline
0.02 & 106.2202854139 & 1.49429630386853 \tabularnewline
0.03 & 106.993858655182 & 1.70827884232919 \tabularnewline
0.04 & 107.769290735665 & 1.48373988351695 \tabularnewline
0.05 & 108.408366291517 & 1.08605653654752 \tabularnewline
0.06 & 108.866460677395 & 0.714468795070606 \tabularnewline
0.07 & 109.165549633418 & 0.448872680762331 \tabularnewline
0.08 & 109.353142786202 & 0.295285451163794 \tabularnewline
0.09 & 109.475162573777 & 0.233936599508237 \tabularnewline
0.1 & 109.565606722712 & 0.236785654471665 \tabularnewline
0.11 & 109.646016118303 & 0.274255665191183 \tabularnewline
0.12 & 109.728293784349 & 0.324984470250154 \tabularnewline
0.13 & 109.817657683276 & 0.374936225277852 \tabularnewline
0.14 & 109.914874208224 & 0.414218593744637 \tabularnewline
0.15 & 110.017901942682 & 0.436623834500829 \tabularnewline
0.16 & 110.123214334154 & 0.439877389469448 \tabularnewline
0.17 & 110.226913802767 & 0.425560566224882 \tabularnewline
0.18 & 110.325602402024 & 0.39820292065744 \tabularnewline
0.19 & 110.416932686567 & 0.363733545090395 \tabularnewline
0.2 & 110.499808911153 & 0.328179053985299 \tabularnewline
0.21 & 110.574285625779 & 0.296355893304595 \tabularnewline
0.22 & 110.641268511555 & 0.271078255304466 \tabularnewline
0.23 & 110.702138774555 & 0.253484336656179 \tabularnewline
0.24 & 110.758401630588 & 0.242793110168418 \tabularnewline
0.25 & 110.811419493881 & 0.237452718174361 \tabularnewline
0.26 & 110.862250438767 & 0.235473450248838 \tabularnewline
0.27 & 110.911584092754 & 0.234744189441131 \tabularnewline
0.28 & 110.959753140022 & 0.233784912146002 \tabularnewline
0.29 & 111.00679567478 & 0.23131566422728 \tabularnewline
0.3 & 111.052546315913 & 0.226720027079654 \tabularnewline
0.31 & 111.096737967686 & 0.219729006524685 \tabularnewline
0.32 & 111.139099424272 & 0.210844911422119 \tabularnewline
0.33 & 111.179436673219 & 0.200722009968795 \tabularnewline
0.34 & 111.217688613403 & 0.190395006314335 \tabularnewline
0.35 & 111.253951654694 & 0.180900660878892 \tabularnewline
0.36 & 111.288472318052 & 0.173305821391254 \tabularnewline
0.37 & 111.321611863016 & 0.168273777033442 \tabularnewline
0.38 & 111.353791185539 & 0.165965085371973 \tabularnewline
0.39 & 111.385426898522 & 0.166121923320649 \tabularnewline
0.4 & 111.416870147745 & 0.168014132229524 \tabularnewline
0.41 & 111.448358312843 & 0.170819422683508 \tabularnewline
0.42 & 111.479986696872 & 0.17343675459079 \tabularnewline
0.43 & 111.511703296507 & 0.17490862328931 \tabularnewline
0.44 & 111.543325560479 & 0.174659294460548 \tabularnewline
0.45 & 111.574574441287 & 0.172271783924524 \tabularnewline
0.46 & 111.605118614796 & 0.167543468478816 \tabularnewline
0.47 & 111.63462081881 & 0.160766788615811 \tabularnewline
0.48 & 111.662778877875 & 0.152275917001976 \tabularnewline
0.49 & 111.689355876655 & 0.142529424269647 \tabularnewline
0.5 & 111.714196628745 & 0.13228269983144 \tabularnewline
0.51 & 111.737230454407 & 0.121854740838192 \tabularnewline
0.52 & 111.758462737841 & 0.111699380012535 \tabularnewline
0.53 & 111.777959330876 & 0.102239809786421 \tabularnewline
0.54 & 111.795828381453 & 0.0934875083488821 \tabularnewline
0.55 & 111.812203625654 & 0.0855756452496454 \tabularnewline
0.56 & 111.827231851677 & 0.0785015755545426 \tabularnewline
0.57 & 111.841065530465 & 0.0721977106581708 \tabularnewline
0.58 & 111.853859957574 & 0.0666889279631146 \tabularnewline
0.59 & 111.865773045248 & 0.0619399066034781 \tabularnewline
0.6 & 111.876965377667 & 0.0580121354336158 \tabularnewline
0.61 & 111.887598348925 & 0.0550004107451765 \tabularnewline
0.62 & 111.897829023296 & 0.0528506869409434 \tabularnewline
0.63 & 111.907801547386 & 0.0516523583156284 \tabularnewline
0.64 & 111.917636203135 & 0.0510912219646524 \tabularnewline
0.65 & 111.927418229882 & 0.0509551110414839 \tabularnewline
0.66 & 111.93718913895 & 0.0509619452695041 \tabularnewline
0.67 & 111.94694327412 & 0.0508736777971456 \tabularnewline
0.68 & 111.956631835761 & 0.0503822188319161 \tabularnewline
0.69 & 111.966175608042 & 0.0492811684278793 \tabularnewline
0.7 & 111.975486433548 & 0.0475381412590064 \tabularnewline
0.71 & 111.984496344108 & 0.0451713368161442 \tabularnewline
0.72 & 111.993192416324 & 0.0425741130646621 \tabularnewline
0.73 & 112.001654949333 & 0.0402740562723862 \tabularnewline
0.74 & 112.010096268233 & 0.0389246805238218 \tabularnewline
0.75 & 112.018896864248 & 0.0394072908195989 \tabularnewline
0.76 & 112.028634095929 & 0.043002625615717 \tabularnewline
0.77 & 112.040095964388 & 0.0506572176823438 \tabularnewline
0.78 & 112.054269029065 & 0.0631772908060132 \tabularnewline
0.79 & 112.072287151966 & 0.0809038831398584 \tabularnewline
0.8 & 112.095329603662 & 0.10350674145589 \tabularnewline
0.81 & 112.124466777306 & 0.130090779853646 \tabularnewline
0.82 & 112.160471447277 & 0.158741637008214 \tabularnewline
0.83 & 112.203640875073 & 0.186810611590574 \tabularnewline
0.84 & 112.253700798049 & 0.211276973898207 \tabularnewline
0.85 & 112.309869795647 & 0.229353087106289 \tabularnewline
0.86 & 112.371132018499 & 0.239767690682014 \tabularnewline
0.87 & 112.436685443135 & 0.243509241017936 \tabularnewline
0.88 & 112.506412032163 & 0.244451959282924 \tabularnewline
0.89 & 112.58110251615 & 0.248435144731534 \tabularnewline
0.9 & 112.662145543248 & 0.260123659614367 \tabularnewline
0.91 & 112.75054752307 & 0.278368597965037 \tabularnewline
0.92 & 112.845509934923 & 0.294441083659433 \tabularnewline
0.93 & 112.943231455158 & 0.295381390698353 \tabularnewline
0.94 & 113.036828637461 & 0.270571457556069 \tabularnewline
0.95 & 113.117949520909 & 0.218477491395756 \tabularnewline
0.96 & 113.179721529888 & 0.149537771214956 \tabularnewline
0.97 & 113.219596644124 & 0.0820599271363163 \tabularnewline
0.98 & 113.240317014242 & 0.0327562667822215 \tabularnewline
0.99 & 113.248226131404 & 0.00743447590953585 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212518&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]105.641726359049[/C][C]0.773205511906538[/C][/ROW]
[ROW][C]0.02[/C][C]106.2202854139[/C][C]1.49429630386853[/C][/ROW]
[ROW][C]0.03[/C][C]106.993858655182[/C][C]1.70827884232919[/C][/ROW]
[ROW][C]0.04[/C][C]107.769290735665[/C][C]1.48373988351695[/C][/ROW]
[ROW][C]0.05[/C][C]108.408366291517[/C][C]1.08605653654752[/C][/ROW]
[ROW][C]0.06[/C][C]108.866460677395[/C][C]0.714468795070606[/C][/ROW]
[ROW][C]0.07[/C][C]109.165549633418[/C][C]0.448872680762331[/C][/ROW]
[ROW][C]0.08[/C][C]109.353142786202[/C][C]0.295285451163794[/C][/ROW]
[ROW][C]0.09[/C][C]109.475162573777[/C][C]0.233936599508237[/C][/ROW]
[ROW][C]0.1[/C][C]109.565606722712[/C][C]0.236785654471665[/C][/ROW]
[ROW][C]0.11[/C][C]109.646016118303[/C][C]0.274255665191183[/C][/ROW]
[ROW][C]0.12[/C][C]109.728293784349[/C][C]0.324984470250154[/C][/ROW]
[ROW][C]0.13[/C][C]109.817657683276[/C][C]0.374936225277852[/C][/ROW]
[ROW][C]0.14[/C][C]109.914874208224[/C][C]0.414218593744637[/C][/ROW]
[ROW][C]0.15[/C][C]110.017901942682[/C][C]0.436623834500829[/C][/ROW]
[ROW][C]0.16[/C][C]110.123214334154[/C][C]0.439877389469448[/C][/ROW]
[ROW][C]0.17[/C][C]110.226913802767[/C][C]0.425560566224882[/C][/ROW]
[ROW][C]0.18[/C][C]110.325602402024[/C][C]0.39820292065744[/C][/ROW]
[ROW][C]0.19[/C][C]110.416932686567[/C][C]0.363733545090395[/C][/ROW]
[ROW][C]0.2[/C][C]110.499808911153[/C][C]0.328179053985299[/C][/ROW]
[ROW][C]0.21[/C][C]110.574285625779[/C][C]0.296355893304595[/C][/ROW]
[ROW][C]0.22[/C][C]110.641268511555[/C][C]0.271078255304466[/C][/ROW]
[ROW][C]0.23[/C][C]110.702138774555[/C][C]0.253484336656179[/C][/ROW]
[ROW][C]0.24[/C][C]110.758401630588[/C][C]0.242793110168418[/C][/ROW]
[ROW][C]0.25[/C][C]110.811419493881[/C][C]0.237452718174361[/C][/ROW]
[ROW][C]0.26[/C][C]110.862250438767[/C][C]0.235473450248838[/C][/ROW]
[ROW][C]0.27[/C][C]110.911584092754[/C][C]0.234744189441131[/C][/ROW]
[ROW][C]0.28[/C][C]110.959753140022[/C][C]0.233784912146002[/C][/ROW]
[ROW][C]0.29[/C][C]111.00679567478[/C][C]0.23131566422728[/C][/ROW]
[ROW][C]0.3[/C][C]111.052546315913[/C][C]0.226720027079654[/C][/ROW]
[ROW][C]0.31[/C][C]111.096737967686[/C][C]0.219729006524685[/C][/ROW]
[ROW][C]0.32[/C][C]111.139099424272[/C][C]0.210844911422119[/C][/ROW]
[ROW][C]0.33[/C][C]111.179436673219[/C][C]0.200722009968795[/C][/ROW]
[ROW][C]0.34[/C][C]111.217688613403[/C][C]0.190395006314335[/C][/ROW]
[ROW][C]0.35[/C][C]111.253951654694[/C][C]0.180900660878892[/C][/ROW]
[ROW][C]0.36[/C][C]111.288472318052[/C][C]0.173305821391254[/C][/ROW]
[ROW][C]0.37[/C][C]111.321611863016[/C][C]0.168273777033442[/C][/ROW]
[ROW][C]0.38[/C][C]111.353791185539[/C][C]0.165965085371973[/C][/ROW]
[ROW][C]0.39[/C][C]111.385426898522[/C][C]0.166121923320649[/C][/ROW]
[ROW][C]0.4[/C][C]111.416870147745[/C][C]0.168014132229524[/C][/ROW]
[ROW][C]0.41[/C][C]111.448358312843[/C][C]0.170819422683508[/C][/ROW]
[ROW][C]0.42[/C][C]111.479986696872[/C][C]0.17343675459079[/C][/ROW]
[ROW][C]0.43[/C][C]111.511703296507[/C][C]0.17490862328931[/C][/ROW]
[ROW][C]0.44[/C][C]111.543325560479[/C][C]0.174659294460548[/C][/ROW]
[ROW][C]0.45[/C][C]111.574574441287[/C][C]0.172271783924524[/C][/ROW]
[ROW][C]0.46[/C][C]111.605118614796[/C][C]0.167543468478816[/C][/ROW]
[ROW][C]0.47[/C][C]111.63462081881[/C][C]0.160766788615811[/C][/ROW]
[ROW][C]0.48[/C][C]111.662778877875[/C][C]0.152275917001976[/C][/ROW]
[ROW][C]0.49[/C][C]111.689355876655[/C][C]0.142529424269647[/C][/ROW]
[ROW][C]0.5[/C][C]111.714196628745[/C][C]0.13228269983144[/C][/ROW]
[ROW][C]0.51[/C][C]111.737230454407[/C][C]0.121854740838192[/C][/ROW]
[ROW][C]0.52[/C][C]111.758462737841[/C][C]0.111699380012535[/C][/ROW]
[ROW][C]0.53[/C][C]111.777959330876[/C][C]0.102239809786421[/C][/ROW]
[ROW][C]0.54[/C][C]111.795828381453[/C][C]0.0934875083488821[/C][/ROW]
[ROW][C]0.55[/C][C]111.812203625654[/C][C]0.0855756452496454[/C][/ROW]
[ROW][C]0.56[/C][C]111.827231851677[/C][C]0.0785015755545426[/C][/ROW]
[ROW][C]0.57[/C][C]111.841065530465[/C][C]0.0721977106581708[/C][/ROW]
[ROW][C]0.58[/C][C]111.853859957574[/C][C]0.0666889279631146[/C][/ROW]
[ROW][C]0.59[/C][C]111.865773045248[/C][C]0.0619399066034781[/C][/ROW]
[ROW][C]0.6[/C][C]111.876965377667[/C][C]0.0580121354336158[/C][/ROW]
[ROW][C]0.61[/C][C]111.887598348925[/C][C]0.0550004107451765[/C][/ROW]
[ROW][C]0.62[/C][C]111.897829023296[/C][C]0.0528506869409434[/C][/ROW]
[ROW][C]0.63[/C][C]111.907801547386[/C][C]0.0516523583156284[/C][/ROW]
[ROW][C]0.64[/C][C]111.917636203135[/C][C]0.0510912219646524[/C][/ROW]
[ROW][C]0.65[/C][C]111.927418229882[/C][C]0.0509551110414839[/C][/ROW]
[ROW][C]0.66[/C][C]111.93718913895[/C][C]0.0509619452695041[/C][/ROW]
[ROW][C]0.67[/C][C]111.94694327412[/C][C]0.0508736777971456[/C][/ROW]
[ROW][C]0.68[/C][C]111.956631835761[/C][C]0.0503822188319161[/C][/ROW]
[ROW][C]0.69[/C][C]111.966175608042[/C][C]0.0492811684278793[/C][/ROW]
[ROW][C]0.7[/C][C]111.975486433548[/C][C]0.0475381412590064[/C][/ROW]
[ROW][C]0.71[/C][C]111.984496344108[/C][C]0.0451713368161442[/C][/ROW]
[ROW][C]0.72[/C][C]111.993192416324[/C][C]0.0425741130646621[/C][/ROW]
[ROW][C]0.73[/C][C]112.001654949333[/C][C]0.0402740562723862[/C][/ROW]
[ROW][C]0.74[/C][C]112.010096268233[/C][C]0.0389246805238218[/C][/ROW]
[ROW][C]0.75[/C][C]112.018896864248[/C][C]0.0394072908195989[/C][/ROW]
[ROW][C]0.76[/C][C]112.028634095929[/C][C]0.043002625615717[/C][/ROW]
[ROW][C]0.77[/C][C]112.040095964388[/C][C]0.0506572176823438[/C][/ROW]
[ROW][C]0.78[/C][C]112.054269029065[/C][C]0.0631772908060132[/C][/ROW]
[ROW][C]0.79[/C][C]112.072287151966[/C][C]0.0809038831398584[/C][/ROW]
[ROW][C]0.8[/C][C]112.095329603662[/C][C]0.10350674145589[/C][/ROW]
[ROW][C]0.81[/C][C]112.124466777306[/C][C]0.130090779853646[/C][/ROW]
[ROW][C]0.82[/C][C]112.160471447277[/C][C]0.158741637008214[/C][/ROW]
[ROW][C]0.83[/C][C]112.203640875073[/C][C]0.186810611590574[/C][/ROW]
[ROW][C]0.84[/C][C]112.253700798049[/C][C]0.211276973898207[/C][/ROW]
[ROW][C]0.85[/C][C]112.309869795647[/C][C]0.229353087106289[/C][/ROW]
[ROW][C]0.86[/C][C]112.371132018499[/C][C]0.239767690682014[/C][/ROW]
[ROW][C]0.87[/C][C]112.436685443135[/C][C]0.243509241017936[/C][/ROW]
[ROW][C]0.88[/C][C]112.506412032163[/C][C]0.244451959282924[/C][/ROW]
[ROW][C]0.89[/C][C]112.58110251615[/C][C]0.248435144731534[/C][/ROW]
[ROW][C]0.9[/C][C]112.662145543248[/C][C]0.260123659614367[/C][/ROW]
[ROW][C]0.91[/C][C]112.75054752307[/C][C]0.278368597965037[/C][/ROW]
[ROW][C]0.92[/C][C]112.845509934923[/C][C]0.294441083659433[/C][/ROW]
[ROW][C]0.93[/C][C]112.943231455158[/C][C]0.295381390698353[/C][/ROW]
[ROW][C]0.94[/C][C]113.036828637461[/C][C]0.270571457556069[/C][/ROW]
[ROW][C]0.95[/C][C]113.117949520909[/C][C]0.218477491395756[/C][/ROW]
[ROW][C]0.96[/C][C]113.179721529888[/C][C]0.149537771214956[/C][/ROW]
[ROW][C]0.97[/C][C]113.219596644124[/C][C]0.0820599271363163[/C][/ROW]
[ROW][C]0.98[/C][C]113.240317014242[/C][C]0.0327562667822215[/C][/ROW]
[ROW][C]0.99[/C][C]113.248226131404[/C][C]0.00743447590953585[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212518&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212518&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantiles	value	standard error
0.01	105.641726359049	0.773205511906538
0.02	106.2202854139	1.49429630386853
0.03	106.993858655182	1.70827884232919
0.04	107.769290735665	1.48373988351695
0.05	108.408366291517	1.08605653654752
0.06	108.866460677395	0.714468795070606
0.07	109.165549633418	0.448872680762331
0.08	109.353142786202	0.295285451163794
0.09	109.475162573777	0.233936599508237
0.1	109.565606722712	0.236785654471665
0.11	109.646016118303	0.274255665191183
0.12	109.728293784349	0.324984470250154
0.13	109.817657683276	0.374936225277852
0.14	109.914874208224	0.414218593744637
0.15	110.017901942682	0.436623834500829
0.16	110.123214334154	0.439877389469448
0.17	110.226913802767	0.425560566224882
0.18	110.325602402024	0.39820292065744
0.19	110.416932686567	0.363733545090395
0.2	110.499808911153	0.328179053985299
0.21	110.574285625779	0.296355893304595
0.22	110.641268511555	0.271078255304466
0.23	110.702138774555	0.253484336656179
0.24	110.758401630588	0.242793110168418
0.25	110.811419493881	0.237452718174361
0.26	110.862250438767	0.235473450248838
0.27	110.911584092754	0.234744189441131
0.28	110.959753140022	0.233784912146002
0.29	111.00679567478	0.23131566422728
0.3	111.052546315913	0.226720027079654
0.31	111.096737967686	0.219729006524685
0.32	111.139099424272	0.210844911422119
0.33	111.179436673219	0.200722009968795
0.34	111.217688613403	0.190395006314335
0.35	111.253951654694	0.180900660878892
0.36	111.288472318052	0.173305821391254
0.37	111.321611863016	0.168273777033442
0.38	111.353791185539	0.165965085371973
0.39	111.385426898522	0.166121923320649
0.4	111.416870147745	0.168014132229524
0.41	111.448358312843	0.170819422683508
0.42	111.479986696872	0.17343675459079
0.43	111.511703296507	0.17490862328931
0.44	111.543325560479	0.174659294460548
0.45	111.574574441287	0.172271783924524
0.46	111.605118614796	0.167543468478816
0.47	111.63462081881	0.160766788615811
0.48	111.662778877875	0.152275917001976
0.49	111.689355876655	0.142529424269647
0.5	111.714196628745	0.13228269983144
0.51	111.737230454407	0.121854740838192
0.52	111.758462737841	0.111699380012535
0.53	111.777959330876	0.102239809786421
0.54	111.795828381453	0.0934875083488821
0.55	111.812203625654	0.0855756452496454
0.56	111.827231851677	0.0785015755545426
0.57	111.841065530465	0.0721977106581708
0.58	111.853859957574	0.0666889279631146
0.59	111.865773045248	0.0619399066034781
0.6	111.876965377667	0.0580121354336158
0.61	111.887598348925	0.0550004107451765
0.62	111.897829023296	0.0528506869409434
0.63	111.907801547386	0.0516523583156284
0.64	111.917636203135	0.0510912219646524
0.65	111.927418229882	0.0509551110414839
0.66	111.93718913895	0.0509619452695041
0.67	111.94694327412	0.0508736777971456
0.68	111.956631835761	0.0503822188319161
0.69	111.966175608042	0.0492811684278793
0.7	111.975486433548	0.0475381412590064
0.71	111.984496344108	0.0451713368161442
0.72	111.993192416324	0.0425741130646621
0.73	112.001654949333	0.0402740562723862
0.74	112.010096268233	0.0389246805238218
0.75	112.018896864248	0.0394072908195989
0.76	112.028634095929	0.043002625615717
0.77	112.040095964388	0.0506572176823438
0.78	112.054269029065	0.0631772908060132
0.79	112.072287151966	0.0809038831398584
0.8	112.095329603662	0.10350674145589
0.81	112.124466777306	0.130090779853646
0.82	112.160471447277	0.158741637008214
0.83	112.203640875073	0.186810611590574
0.84	112.253700798049	0.211276973898207
0.85	112.309869795647	0.229353087106289
0.86	112.371132018499	0.239767690682014
0.87	112.436685443135	0.243509241017936
0.88	112.506412032163	0.244451959282924
0.89	112.58110251615	0.248435144731534
0.9	112.662145543248	0.260123659614367
0.91	112.75054752307	0.278368597965037
0.92	112.845509934923	0.294441083659433
0.93	112.943231455158	0.295381390698353
0.94	113.036828637461	0.270571457556069
0.95	113.117949520909	0.218477491395756
0.96	113.179721529888	0.149537771214956
0.97	113.219596644124	0.0820599271363163
0.98	113.240317014242	0.0327562667822215
0.99	113.248226131404	0.00743447590953585

Figure 1

PNG link

Postscript link

PDF link

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):

par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code