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Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 21 Oct 2008 11:49:19 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/21/t1224611434l6iu7i8vzz9whgi.htm/, Retrieved Sun, 19 May 2024 19:48:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18391, Retrieved Sun, 19 May 2024 19:48:49 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Q7 95% confidence...] [2007-10-20 15:02:46] [b731da8b544846036771bbf9bf2f34ce]
-   PD    [Harrell-Davis Quantiles] [task 2 (verbetering)] [2008-10-21 17:49:19] [b23db733701c4d62df5e228d507c1c6a] [Current]
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Dataseries X:
100,7
109,9
114,6
85,4
100,5
114,8
116,5
112,9
102,0
106,0
105,3
118,8
106,1
109,3
117,2
92,5
104,2
112,5
122,4
113,3
100,0
110,7
112,8
109,8
117,3
109,1
115,9
95,7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18391&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18391&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18391&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Harrell-Davis Quantiles
quantilesvaluestandard error
0.99122.0920801371483.30080114468631
0.9901122.0958405496343.30288424761696
0.9902122.0995882576743.30496613599368
0.9903122.1033232244933.30703456371779
0.9904122.1070454134713.30910407574775
0.9905122.1107547881413.31115716483023
0.9906122.1144513121983.3132050000644
0.9907122.1181349494913.31525102039503
0.9908122.1218056640323.3172909417487
0.9909122.1254634199933.3193166581233
0.991122.1291081817103.32134203119541
0.9911122.1327399136813.32336019257942
0.9912122.1363585805733.32536496095914
0.9913122.1399641472163.32736351797333
0.9914122.1435565786133.32935325698064
0.9915122.1471358399343.33133650442758
0.9916122.1507018965203.33331800253033
0.9917122.1542547138863.33529354876845
0.9918122.1577942577213.33725552073381
0.9919122.1613204938903.33921071665927
0.992122.1648333884353.34115748704889
0.9921122.1683329075743.34309732925881
0.9922122.1718190177093.34503121541225
0.9923122.1752916854193.34696346240526
0.9924122.178750877473.34887600506213
0.9925122.1821965608093.35078814138105
0.9926122.1856287025703.35269140789374
0.9927122.1890472700733.35458759650175
0.9928122.1924522308273.35647225949763
0.9929122.1958435525313.35836108195919
0.993122.1992212030763.36022978394959
0.9931122.2025851505453.36209790831146
0.9932122.2059353632133.36395186536423
0.9933122.2092718095553.3658063579658
0.9934122.2125944582393.36764696346149
0.9935122.2159032781333.36947850153219
0.9936122.2191982383073.37131085043789
0.9937122.2224793080273.37312918428758
0.9938122.2257464567673.37493345040042
0.9939122.2289996542023.37674361640575
0.994122.2322388702153.37853948792371
0.9941122.2354640748923.38032890782752
0.9942122.2386752385323.38210386168441
0.9943122.2418723316423.38387988700003
0.9944122.2450553249383.38563961522767
0.9945122.2482241893523.38739940713289
0.9946122.2513788960293.38914572870813
0.9947122.2545194163293.39088502634795
0.9948122.2576457218303.39262253996126
0.9949122.2607577843263.39435366154502
0.995122.2638555758343.39606432110346
0.9951122.2669390685903.39777419595499
0.9952122.2700082350533.3994753722573
0.9953122.2730630479083.40117134123584
0.9954122.2761034800623.40285832843190
0.9955122.2791295046523.40452613420317
0.9956122.2821410950413.40619919605796
0.9957122.2851382248233.40786319136483
0.9958122.2881208678243.40951550456894
0.9959122.2910889981003.41115324538087
0.996122.2940425899433.41279676631767
0.9961122.2969816178803.4144260565332
0.9962122.2999060566733.41604846552010
0.9963122.3028158813253.41765615459993
0.9964122.3057110670773.41925717658568
0.9965122.3085915894113.42085116032856
0.9966122.3114574240523.42244369547374
0.9967122.3143085469673.42401627549384
0.9968122.3171449343703.42558751024936
0.9969122.3199665627223.42715125352994
0.997122.3227734087293.42870815313095
0.9971122.3255654493513.43025030180266
0.9972122.3283426617933.43179099042895
0.9973122.3311050235173.43331965728970
0.9974122.3338525122363.4348463146783
0.9975122.3365851059193.43635327083114
0.9976122.3393027827903.43785852956419
0.9977122.3420055213323.43935637139018
0.9978122.3446933002853.44083994514070
0.9979122.3473660986533.44231688065701
0.998122.3500238956983.44379104427946
0.9981122.3526666709463.44525363809708
0.9982122.3552944041903.44671426805308
0.9983122.3579070754853.44815514989728
0.9984122.3605046651563.44959403607096
0.9985122.3630871537963.45102602210192
0.9986122.3656545222673.45244290638659
0.9987122.3682067517033.45385315866490
0.9988122.3707438235103.45525620813863
0.9989122.3732657193683.45665205431601
0.999122.3757724212343.45803335605443
0.9991122.3782639113393.45942026890029
0.9992122.3807401721943.46077981186636
0.9993122.3832011865873.46214523242537
0.9994122.3856469375893.46349717458497
0.9995122.3880774085533.46484054783749
0.9996122.3904925831123.46617671113229
0.9997122.3928924451873.46750592323491
0.9998122.3952769789833.46882002299142
0.9999122.3976461689943.47012690033742

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.99 & 122.092080137148 & 3.30080114468631 \tabularnewline
0.9901 & 122.095840549634 & 3.30288424761696 \tabularnewline
0.9902 & 122.099588257674 & 3.30496613599368 \tabularnewline
0.9903 & 122.103323224493 & 3.30703456371779 \tabularnewline
0.9904 & 122.107045413471 & 3.30910407574775 \tabularnewline
0.9905 & 122.110754788141 & 3.31115716483023 \tabularnewline
0.9906 & 122.114451312198 & 3.3132050000644 \tabularnewline
0.9907 & 122.118134949491 & 3.31525102039503 \tabularnewline
0.9908 & 122.121805664032 & 3.3172909417487 \tabularnewline
0.9909 & 122.125463419993 & 3.3193166581233 \tabularnewline
0.991 & 122.129108181710 & 3.32134203119541 \tabularnewline
0.9911 & 122.132739913681 & 3.32336019257942 \tabularnewline
0.9912 & 122.136358580573 & 3.32536496095914 \tabularnewline
0.9913 & 122.139964147216 & 3.32736351797333 \tabularnewline
0.9914 & 122.143556578613 & 3.32935325698064 \tabularnewline
0.9915 & 122.147135839934 & 3.33133650442758 \tabularnewline
0.9916 & 122.150701896520 & 3.33331800253033 \tabularnewline
0.9917 & 122.154254713886 & 3.33529354876845 \tabularnewline
0.9918 & 122.157794257721 & 3.33725552073381 \tabularnewline
0.9919 & 122.161320493890 & 3.33921071665927 \tabularnewline
0.992 & 122.164833388435 & 3.34115748704889 \tabularnewline
0.9921 & 122.168332907574 & 3.34309732925881 \tabularnewline
0.9922 & 122.171819017709 & 3.34503121541225 \tabularnewline
0.9923 & 122.175291685419 & 3.34696346240526 \tabularnewline
0.9924 & 122.17875087747 & 3.34887600506213 \tabularnewline
0.9925 & 122.182196560809 & 3.35078814138105 \tabularnewline
0.9926 & 122.185628702570 & 3.35269140789374 \tabularnewline
0.9927 & 122.189047270073 & 3.35458759650175 \tabularnewline
0.9928 & 122.192452230827 & 3.35647225949763 \tabularnewline
0.9929 & 122.195843552531 & 3.35836108195919 \tabularnewline
0.993 & 122.199221203076 & 3.36022978394959 \tabularnewline
0.9931 & 122.202585150545 & 3.36209790831146 \tabularnewline
0.9932 & 122.205935363213 & 3.36395186536423 \tabularnewline
0.9933 & 122.209271809555 & 3.3658063579658 \tabularnewline
0.9934 & 122.212594458239 & 3.36764696346149 \tabularnewline
0.9935 & 122.215903278133 & 3.36947850153219 \tabularnewline
0.9936 & 122.219198238307 & 3.37131085043789 \tabularnewline
0.9937 & 122.222479308027 & 3.37312918428758 \tabularnewline
0.9938 & 122.225746456767 & 3.37493345040042 \tabularnewline
0.9939 & 122.228999654202 & 3.37674361640575 \tabularnewline
0.994 & 122.232238870215 & 3.37853948792371 \tabularnewline
0.9941 & 122.235464074892 & 3.38032890782752 \tabularnewline
0.9942 & 122.238675238532 & 3.38210386168441 \tabularnewline
0.9943 & 122.241872331642 & 3.38387988700003 \tabularnewline
0.9944 & 122.245055324938 & 3.38563961522767 \tabularnewline
0.9945 & 122.248224189352 & 3.38739940713289 \tabularnewline
0.9946 & 122.251378896029 & 3.38914572870813 \tabularnewline
0.9947 & 122.254519416329 & 3.39088502634795 \tabularnewline
0.9948 & 122.257645721830 & 3.39262253996126 \tabularnewline
0.9949 & 122.260757784326 & 3.39435366154502 \tabularnewline
0.995 & 122.263855575834 & 3.39606432110346 \tabularnewline
0.9951 & 122.266939068590 & 3.39777419595499 \tabularnewline
0.9952 & 122.270008235053 & 3.3994753722573 \tabularnewline
0.9953 & 122.273063047908 & 3.40117134123584 \tabularnewline
0.9954 & 122.276103480062 & 3.40285832843190 \tabularnewline
0.9955 & 122.279129504652 & 3.40452613420317 \tabularnewline
0.9956 & 122.282141095041 & 3.40619919605796 \tabularnewline
0.9957 & 122.285138224823 & 3.40786319136483 \tabularnewline
0.9958 & 122.288120867824 & 3.40951550456894 \tabularnewline
0.9959 & 122.291088998100 & 3.41115324538087 \tabularnewline
0.996 & 122.294042589943 & 3.41279676631767 \tabularnewline
0.9961 & 122.296981617880 & 3.4144260565332 \tabularnewline
0.9962 & 122.299906056673 & 3.41604846552010 \tabularnewline
0.9963 & 122.302815881325 & 3.41765615459993 \tabularnewline
0.9964 & 122.305711067077 & 3.41925717658568 \tabularnewline
0.9965 & 122.308591589411 & 3.42085116032856 \tabularnewline
0.9966 & 122.311457424052 & 3.42244369547374 \tabularnewline
0.9967 & 122.314308546967 & 3.42401627549384 \tabularnewline
0.9968 & 122.317144934370 & 3.42558751024936 \tabularnewline
0.9969 & 122.319966562722 & 3.42715125352994 \tabularnewline
0.997 & 122.322773408729 & 3.42870815313095 \tabularnewline
0.9971 & 122.325565449351 & 3.43025030180266 \tabularnewline
0.9972 & 122.328342661793 & 3.43179099042895 \tabularnewline
0.9973 & 122.331105023517 & 3.43331965728970 \tabularnewline
0.9974 & 122.333852512236 & 3.4348463146783 \tabularnewline
0.9975 & 122.336585105919 & 3.43635327083114 \tabularnewline
0.9976 & 122.339302782790 & 3.43785852956419 \tabularnewline
0.9977 & 122.342005521332 & 3.43935637139018 \tabularnewline
0.9978 & 122.344693300285 & 3.44083994514070 \tabularnewline
0.9979 & 122.347366098653 & 3.44231688065701 \tabularnewline
0.998 & 122.350023895698 & 3.44379104427946 \tabularnewline
0.9981 & 122.352666670946 & 3.44525363809708 \tabularnewline
0.9982 & 122.355294404190 & 3.44671426805308 \tabularnewline
0.9983 & 122.357907075485 & 3.44815514989728 \tabularnewline
0.9984 & 122.360504665156 & 3.44959403607096 \tabularnewline
0.9985 & 122.363087153796 & 3.45102602210192 \tabularnewline
0.9986 & 122.365654522267 & 3.45244290638659 \tabularnewline
0.9987 & 122.368206751703 & 3.45385315866490 \tabularnewline
0.9988 & 122.370743823510 & 3.45525620813863 \tabularnewline
0.9989 & 122.373265719368 & 3.45665205431601 \tabularnewline
0.999 & 122.375772421234 & 3.45803335605443 \tabularnewline
0.9991 & 122.378263911339 & 3.45942026890029 \tabularnewline
0.9992 & 122.380740172194 & 3.46077981186636 \tabularnewline
0.9993 & 122.383201186587 & 3.46214523242537 \tabularnewline
0.9994 & 122.385646937589 & 3.46349717458497 \tabularnewline
0.9995 & 122.388077408553 & 3.46484054783749 \tabularnewline
0.9996 & 122.390492583112 & 3.46617671113229 \tabularnewline
0.9997 & 122.392892445187 & 3.46750592323491 \tabularnewline
0.9998 & 122.395276978983 & 3.46882002299142 \tabularnewline
0.9999 & 122.397646168994 & 3.47012690033742 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18391&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.99[/C][C]122.092080137148[/C][C]3.30080114468631[/C][/ROW]
[ROW][C]0.9901[/C][C]122.095840549634[/C][C]3.30288424761696[/C][/ROW]
[ROW][C]0.9902[/C][C]122.099588257674[/C][C]3.30496613599368[/C][/ROW]
[ROW][C]0.9903[/C][C]122.103323224493[/C][C]3.30703456371779[/C][/ROW]
[ROW][C]0.9904[/C][C]122.107045413471[/C][C]3.30910407574775[/C][/ROW]
[ROW][C]0.9905[/C][C]122.110754788141[/C][C]3.31115716483023[/C][/ROW]
[ROW][C]0.9906[/C][C]122.114451312198[/C][C]3.3132050000644[/C][/ROW]
[ROW][C]0.9907[/C][C]122.118134949491[/C][C]3.31525102039503[/C][/ROW]
[ROW][C]0.9908[/C][C]122.121805664032[/C][C]3.3172909417487[/C][/ROW]
[ROW][C]0.9909[/C][C]122.125463419993[/C][C]3.3193166581233[/C][/ROW]
[ROW][C]0.991[/C][C]122.129108181710[/C][C]3.32134203119541[/C][/ROW]
[ROW][C]0.9911[/C][C]122.132739913681[/C][C]3.32336019257942[/C][/ROW]
[ROW][C]0.9912[/C][C]122.136358580573[/C][C]3.32536496095914[/C][/ROW]
[ROW][C]0.9913[/C][C]122.139964147216[/C][C]3.32736351797333[/C][/ROW]
[ROW][C]0.9914[/C][C]122.143556578613[/C][C]3.32935325698064[/C][/ROW]
[ROW][C]0.9915[/C][C]122.147135839934[/C][C]3.33133650442758[/C][/ROW]
[ROW][C]0.9916[/C][C]122.150701896520[/C][C]3.33331800253033[/C][/ROW]
[ROW][C]0.9917[/C][C]122.154254713886[/C][C]3.33529354876845[/C][/ROW]
[ROW][C]0.9918[/C][C]122.157794257721[/C][C]3.33725552073381[/C][/ROW]
[ROW][C]0.9919[/C][C]122.161320493890[/C][C]3.33921071665927[/C][/ROW]
[ROW][C]0.992[/C][C]122.164833388435[/C][C]3.34115748704889[/C][/ROW]
[ROW][C]0.9921[/C][C]122.168332907574[/C][C]3.34309732925881[/C][/ROW]
[ROW][C]0.9922[/C][C]122.171819017709[/C][C]3.34503121541225[/C][/ROW]
[ROW][C]0.9923[/C][C]122.175291685419[/C][C]3.34696346240526[/C][/ROW]
[ROW][C]0.9924[/C][C]122.17875087747[/C][C]3.34887600506213[/C][/ROW]
[ROW][C]0.9925[/C][C]122.182196560809[/C][C]3.35078814138105[/C][/ROW]
[ROW][C]0.9926[/C][C]122.185628702570[/C][C]3.35269140789374[/C][/ROW]
[ROW][C]0.9927[/C][C]122.189047270073[/C][C]3.35458759650175[/C][/ROW]
[ROW][C]0.9928[/C][C]122.192452230827[/C][C]3.35647225949763[/C][/ROW]
[ROW][C]0.9929[/C][C]122.195843552531[/C][C]3.35836108195919[/C][/ROW]
[ROW][C]0.993[/C][C]122.199221203076[/C][C]3.36022978394959[/C][/ROW]
[ROW][C]0.9931[/C][C]122.202585150545[/C][C]3.36209790831146[/C][/ROW]
[ROW][C]0.9932[/C][C]122.205935363213[/C][C]3.36395186536423[/C][/ROW]
[ROW][C]0.9933[/C][C]122.209271809555[/C][C]3.3658063579658[/C][/ROW]
[ROW][C]0.9934[/C][C]122.212594458239[/C][C]3.36764696346149[/C][/ROW]
[ROW][C]0.9935[/C][C]122.215903278133[/C][C]3.36947850153219[/C][/ROW]
[ROW][C]0.9936[/C][C]122.219198238307[/C][C]3.37131085043789[/C][/ROW]
[ROW][C]0.9937[/C][C]122.222479308027[/C][C]3.37312918428758[/C][/ROW]
[ROW][C]0.9938[/C][C]122.225746456767[/C][C]3.37493345040042[/C][/ROW]
[ROW][C]0.9939[/C][C]122.228999654202[/C][C]3.37674361640575[/C][/ROW]
[ROW][C]0.994[/C][C]122.232238870215[/C][C]3.37853948792371[/C][/ROW]
[ROW][C]0.9941[/C][C]122.235464074892[/C][C]3.38032890782752[/C][/ROW]
[ROW][C]0.9942[/C][C]122.238675238532[/C][C]3.38210386168441[/C][/ROW]
[ROW][C]0.9943[/C][C]122.241872331642[/C][C]3.38387988700003[/C][/ROW]
[ROW][C]0.9944[/C][C]122.245055324938[/C][C]3.38563961522767[/C][/ROW]
[ROW][C]0.9945[/C][C]122.248224189352[/C][C]3.38739940713289[/C][/ROW]
[ROW][C]0.9946[/C][C]122.251378896029[/C][C]3.38914572870813[/C][/ROW]
[ROW][C]0.9947[/C][C]122.254519416329[/C][C]3.39088502634795[/C][/ROW]
[ROW][C]0.9948[/C][C]122.257645721830[/C][C]3.39262253996126[/C][/ROW]
[ROW][C]0.9949[/C][C]122.260757784326[/C][C]3.39435366154502[/C][/ROW]
[ROW][C]0.995[/C][C]122.263855575834[/C][C]3.39606432110346[/C][/ROW]
[ROW][C]0.9951[/C][C]122.266939068590[/C][C]3.39777419595499[/C][/ROW]
[ROW][C]0.9952[/C][C]122.270008235053[/C][C]3.3994753722573[/C][/ROW]
[ROW][C]0.9953[/C][C]122.273063047908[/C][C]3.40117134123584[/C][/ROW]
[ROW][C]0.9954[/C][C]122.276103480062[/C][C]3.40285832843190[/C][/ROW]
[ROW][C]0.9955[/C][C]122.279129504652[/C][C]3.40452613420317[/C][/ROW]
[ROW][C]0.9956[/C][C]122.282141095041[/C][C]3.40619919605796[/C][/ROW]
[ROW][C]0.9957[/C][C]122.285138224823[/C][C]3.40786319136483[/C][/ROW]
[ROW][C]0.9958[/C][C]122.288120867824[/C][C]3.40951550456894[/C][/ROW]
[ROW][C]0.9959[/C][C]122.291088998100[/C][C]3.41115324538087[/C][/ROW]
[ROW][C]0.996[/C][C]122.294042589943[/C][C]3.41279676631767[/C][/ROW]
[ROW][C]0.9961[/C][C]122.296981617880[/C][C]3.4144260565332[/C][/ROW]
[ROW][C]0.9962[/C][C]122.299906056673[/C][C]3.41604846552010[/C][/ROW]
[ROW][C]0.9963[/C][C]122.302815881325[/C][C]3.41765615459993[/C][/ROW]
[ROW][C]0.9964[/C][C]122.305711067077[/C][C]3.41925717658568[/C][/ROW]
[ROW][C]0.9965[/C][C]122.308591589411[/C][C]3.42085116032856[/C][/ROW]
[ROW][C]0.9966[/C][C]122.311457424052[/C][C]3.42244369547374[/C][/ROW]
[ROW][C]0.9967[/C][C]122.314308546967[/C][C]3.42401627549384[/C][/ROW]
[ROW][C]0.9968[/C][C]122.317144934370[/C][C]3.42558751024936[/C][/ROW]
[ROW][C]0.9969[/C][C]122.319966562722[/C][C]3.42715125352994[/C][/ROW]
[ROW][C]0.997[/C][C]122.322773408729[/C][C]3.42870815313095[/C][/ROW]
[ROW][C]0.9971[/C][C]122.325565449351[/C][C]3.43025030180266[/C][/ROW]
[ROW][C]0.9972[/C][C]122.328342661793[/C][C]3.43179099042895[/C][/ROW]
[ROW][C]0.9973[/C][C]122.331105023517[/C][C]3.43331965728970[/C][/ROW]
[ROW][C]0.9974[/C][C]122.333852512236[/C][C]3.4348463146783[/C][/ROW]
[ROW][C]0.9975[/C][C]122.336585105919[/C][C]3.43635327083114[/C][/ROW]
[ROW][C]0.9976[/C][C]122.339302782790[/C][C]3.43785852956419[/C][/ROW]
[ROW][C]0.9977[/C][C]122.342005521332[/C][C]3.43935637139018[/C][/ROW]
[ROW][C]0.9978[/C][C]122.344693300285[/C][C]3.44083994514070[/C][/ROW]
[ROW][C]0.9979[/C][C]122.347366098653[/C][C]3.44231688065701[/C][/ROW]
[ROW][C]0.998[/C][C]122.350023895698[/C][C]3.44379104427946[/C][/ROW]
[ROW][C]0.9981[/C][C]122.352666670946[/C][C]3.44525363809708[/C][/ROW]
[ROW][C]0.9982[/C][C]122.355294404190[/C][C]3.44671426805308[/C][/ROW]
[ROW][C]0.9983[/C][C]122.357907075485[/C][C]3.44815514989728[/C][/ROW]
[ROW][C]0.9984[/C][C]122.360504665156[/C][C]3.44959403607096[/C][/ROW]
[ROW][C]0.9985[/C][C]122.363087153796[/C][C]3.45102602210192[/C][/ROW]
[ROW][C]0.9986[/C][C]122.365654522267[/C][C]3.45244290638659[/C][/ROW]
[ROW][C]0.9987[/C][C]122.368206751703[/C][C]3.45385315866490[/C][/ROW]
[ROW][C]0.9988[/C][C]122.370743823510[/C][C]3.45525620813863[/C][/ROW]
[ROW][C]0.9989[/C][C]122.373265719368[/C][C]3.45665205431601[/C][/ROW]
[ROW][C]0.999[/C][C]122.375772421234[/C][C]3.45803335605443[/C][/ROW]
[ROW][C]0.9991[/C][C]122.378263911339[/C][C]3.45942026890029[/C][/ROW]
[ROW][C]0.9992[/C][C]122.380740172194[/C][C]3.46077981186636[/C][/ROW]
[ROW][C]0.9993[/C][C]122.383201186587[/C][C]3.46214523242537[/C][/ROW]
[ROW][C]0.9994[/C][C]122.385646937589[/C][C]3.46349717458497[/C][/ROW]
[ROW][C]0.9995[/C][C]122.388077408553[/C][C]3.46484054783749[/C][/ROW]
[ROW][C]0.9996[/C][C]122.390492583112[/C][C]3.46617671113229[/C][/ROW]
[ROW][C]0.9997[/C][C]122.392892445187[/C][C]3.46750592323491[/C][/ROW]
[ROW][C]0.9998[/C][C]122.395276978983[/C][C]3.46882002299142[/C][/ROW]
[ROW][C]0.9999[/C][C]122.397646168994[/C][C]3.47012690033742[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18391&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18391&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
quantilesvaluestandard error
0.99122.0920801371483.30080114468631
0.9901122.0958405496343.30288424761696
0.9902122.0995882576743.30496613599368
0.9903122.1033232244933.30703456371779
0.9904122.1070454134713.30910407574775
0.9905122.1107547881413.31115716483023
0.9906122.1144513121983.3132050000644
0.9907122.1181349494913.31525102039503
0.9908122.1218056640323.3172909417487
0.9909122.1254634199933.3193166581233
0.991122.1291081817103.32134203119541
0.9911122.1327399136813.32336019257942
0.9912122.1363585805733.32536496095914
0.9913122.1399641472163.32736351797333
0.9914122.1435565786133.32935325698064
0.9915122.1471358399343.33133650442758
0.9916122.1507018965203.33331800253033
0.9917122.1542547138863.33529354876845
0.9918122.1577942577213.33725552073381
0.9919122.1613204938903.33921071665927
0.992122.1648333884353.34115748704889
0.9921122.1683329075743.34309732925881
0.9922122.1718190177093.34503121541225
0.9923122.1752916854193.34696346240526
0.9924122.178750877473.34887600506213
0.9925122.1821965608093.35078814138105
0.9926122.1856287025703.35269140789374
0.9927122.1890472700733.35458759650175
0.9928122.1924522308273.35647225949763
0.9929122.1958435525313.35836108195919
0.993122.1992212030763.36022978394959
0.9931122.2025851505453.36209790831146
0.9932122.2059353632133.36395186536423
0.9933122.2092718095553.3658063579658
0.9934122.2125944582393.36764696346149
0.9935122.2159032781333.36947850153219
0.9936122.2191982383073.37131085043789
0.9937122.2224793080273.37312918428758
0.9938122.2257464567673.37493345040042
0.9939122.2289996542023.37674361640575
0.994122.2322388702153.37853948792371
0.9941122.2354640748923.38032890782752
0.9942122.2386752385323.38210386168441
0.9943122.2418723316423.38387988700003
0.9944122.2450553249383.38563961522767
0.9945122.2482241893523.38739940713289
0.9946122.2513788960293.38914572870813
0.9947122.2545194163293.39088502634795
0.9948122.2576457218303.39262253996126
0.9949122.2607577843263.39435366154502
0.995122.2638555758343.39606432110346
0.9951122.2669390685903.39777419595499
0.9952122.2700082350533.3994753722573
0.9953122.2730630479083.40117134123584
0.9954122.2761034800623.40285832843190
0.9955122.2791295046523.40452613420317
0.9956122.2821410950413.40619919605796
0.9957122.2851382248233.40786319136483
0.9958122.2881208678243.40951550456894
0.9959122.2910889981003.41115324538087
0.996122.2940425899433.41279676631767
0.9961122.2969816178803.4144260565332
0.9962122.2999060566733.41604846552010
0.9963122.3028158813253.41765615459993
0.9964122.3057110670773.41925717658568
0.9965122.3085915894113.42085116032856
0.9966122.3114574240523.42244369547374
0.9967122.3143085469673.42401627549384
0.9968122.3171449343703.42558751024936
0.9969122.3199665627223.42715125352994
0.997122.3227734087293.42870815313095
0.9971122.3255654493513.43025030180266
0.9972122.3283426617933.43179099042895
0.9973122.3311050235173.43331965728970
0.9974122.3338525122363.4348463146783
0.9975122.3365851059193.43635327083114
0.9976122.3393027827903.43785852956419
0.9977122.3420055213323.43935637139018
0.9978122.3446933002853.44083994514070
0.9979122.3473660986533.44231688065701
0.998122.3500238956983.44379104427946
0.9981122.3526666709463.44525363809708
0.9982122.3552944041903.44671426805308
0.9983122.3579070754853.44815514989728
0.9984122.3605046651563.44959403607096
0.9985122.3630871537963.45102602210192
0.9986122.3656545222673.45244290638659
0.9987122.3682067517033.45385315866490
0.9988122.3707438235103.45525620813863
0.9989122.3732657193683.45665205431601
0.999122.3757724212343.45803335605443
0.9991122.3782639113393.45942026890029
0.9992122.3807401721943.46077981186636
0.9993122.3832011865873.46214523242537
0.9994122.3856469375893.46349717458497
0.9995122.3880774085533.46484054783749
0.9996122.3904925831123.46617671113229
0.9997122.3928924451873.46750592323491
0.9998122.3952769789833.46882002299142
0.9999122.3976461689943.47012690033742



Parameters (Session):
par1 = 0.99 ; par2 = 0.99999999 ; par3 = 0.0001 ;
Parameters (R input):
par1 = 0.99 ; par2 = 0.99999999 ; par3 = 0.0001 ;
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')