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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 computationSat, 11 Mar 2017 13:43:49 +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/2017/Mar/11/t1489239874i90oyz7o29qvgl4.htm/, Retrieved Tue, 14 May 2024 16:17:37 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 16:17:37 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92.76
93.12
93.6
93.24
93.4
93.32
93.13
93.19
93.84
94.01
93.78
93.47
93.6
92.85
92.91
92.29
92.5
93.1
92.86
93.19
93.73
93.88
93.85
93.45
93.43
93.59
95.28
94.95
94.49
94.45
94.35
95.52
96.89
97.54
97.65
97.35
98.2
99.46
100.35
99.72
99.69
99.62
99.77
100.19
100.82
100.36
101.08
100.73
101.51
102.12
102.88
103.47
103.53
103.67
103.68
103.76
103.67
103.01
103.39
103.43
103.4
104.8

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.35151136237220.208834342957487
0.0292.44792200311830.211125979953226
0.0392.55364520493290.203724941003709
0.0492.65132897964370.184649082308919
0.0592.73434675029090.162014912622787
0.0692.80298103768060.144958294668862
0.0792.86040749676940.13683437984239
0.0892.91014836608470.135121902203876
0.0992.95488696370290.135185112201656
0.192.99620719171460.134200564945889
0.1193.03483897651880.13112948391905
0.1293.07106757332230.126624287126523
0.1393.10508165123760.12236019798511
0.1493.13716427598170.119509988303991
0.1593.16773127855570.118968130959459
0.1693.19727310295410.120667975511895
0.1793.22626455855510.123995885646593
0.1893.25508982055180.128367030658983
0.1993.28400522401560.132815943051452
0.293.31314139423480.136930482262164
0.2193.34253373766740.140593348533878
0.2293.37216616234890.143738793465716
0.2393.40201465024030.146684822794985
0.2493.43208203860370.149701988686542
0.2593.46242067628780.153152995736118
0.2693.49314395330590.157539779351477
0.2793.52443033276240.163048203113639
0.2893.55652436111040.170060257398455
0.2993.58973853790720.179014393182184
0.393.62445844419430.190305427024753
0.3193.66115174577830.204272479600949
0.3293.7003800886020.221917597420963
0.3393.74281179381940.243883348018909
0.3493.78923274675570.270866324847898
0.3593.84055289162970.303764378613743
0.3693.89780611634350.343300617238297
0.3793.96214182786150.390105129485686
0.3894.03480700911920.444860199464956
0.3994.11711794222580.507533374858758
0.494.21042113028230.578510155856687
0.4194.31604339953680.65730828460665
0.4294.43523189356050.743510941882777
0.4394.56908579753240.835785687936484
0.4494.71848311943760.93254413219365
0.4594.88400747767141.03197704429819
0.4695.06588120566271.13134350247262
0.4795.26391172376481.22798973104811
0.4895.47745767618011.31885220100611
0.4995.70541965878061.40127490335608
0.595.94625768243271.47250864655728
0.5196.1980343605941.53029766060439
0.5296.45847990669931.57309557308688
0.5396.72507307610681.59987901340794
0.5496.99513162549281.60988256925108
0.5597.26590669639961.60342621722471
0.5697.53467731095271.58090850400143
0.5797.79884313247231.54334878051395
0.5898.05601497773711.49210918900416
0.5998.30410270910511.42899631808242
0.698.5413989985031.35630452795635
0.6198.7666554878551.27667675046329
0.6298.97914590069571.19321182909283
0.6399.17870959061451.10929529674553
0.6499.36576946432221.0284144503035
0.6599.54132026039130.954156803410558
0.6699.7068862514390.889714371131232
0.6799.86445057826510.837628945699032
0.68100.0163605567720.800074985053829
0.69100.1652137219110.778052889923859
0.7100.31372808840.771963961740655
0.71100.4645979228420.781112619050648
0.72100.6203346519650.803626565868285
0.73100.7830929344280.837131380986361
0.74100.9544854883690.877988900547782
0.75101.1353970564990.921687556424939
0.76101.3258166341860.963289526304103
0.77101.5247152768070.997129443227653
0.78101.7300012447651.01783711663327
0.79101.9385819566431.02056486834602
0.8102.146551462981.00206519657321
0.81102.3495032621670.960643573097085
0.82102.5429440081740.897150897087325
0.83102.7227588456670.814801191464839
0.84102.8856597241830.71859256355493
0.85103.0295398943870.615286206209166
0.86103.1536652453330.511955349949378
0.87103.2586582341920.415274122996689
0.88103.3462722137970.330478730158045
0.89103.4190098958710.260610573890043
0.9103.4797054331530.206308502170555
0.91103.5312631567840.16581363742278
0.92103.5768290320410.136003314204328
0.93103.6207515384960.115046392820884
0.94103.6706606947050.106553489822481
0.95103.7404704369460.12623788601786
0.96103.8522916163230.199398707983347
0.97104.0316414581750.34634800797558
0.98104.2877537542880.569715354310593
0.99104.579552895630.828152262525222

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.3515113623722 & 0.208834342957487 \tabularnewline
0.02 & 92.4479220031183 & 0.211125979953226 \tabularnewline
0.03 & 92.5536452049329 & 0.203724941003709 \tabularnewline
0.04 & 92.6513289796437 & 0.184649082308919 \tabularnewline
0.05 & 92.7343467502909 & 0.162014912622787 \tabularnewline
0.06 & 92.8029810376806 & 0.144958294668862 \tabularnewline
0.07 & 92.8604074967694 & 0.13683437984239 \tabularnewline
0.08 & 92.9101483660847 & 0.135121902203876 \tabularnewline
0.09 & 92.9548869637029 & 0.135185112201656 \tabularnewline
0.1 & 92.9962071917146 & 0.134200564945889 \tabularnewline
0.11 & 93.0348389765188 & 0.13112948391905 \tabularnewline
0.12 & 93.0710675733223 & 0.126624287126523 \tabularnewline
0.13 & 93.1050816512376 & 0.12236019798511 \tabularnewline
0.14 & 93.1371642759817 & 0.119509988303991 \tabularnewline
0.15 & 93.1677312785557 & 0.118968130959459 \tabularnewline
0.16 & 93.1972731029541 & 0.120667975511895 \tabularnewline
0.17 & 93.2262645585551 & 0.123995885646593 \tabularnewline
0.18 & 93.2550898205518 & 0.128367030658983 \tabularnewline
0.19 & 93.2840052240156 & 0.132815943051452 \tabularnewline
0.2 & 93.3131413942348 & 0.136930482262164 \tabularnewline
0.21 & 93.3425337376674 & 0.140593348533878 \tabularnewline
0.22 & 93.3721661623489 & 0.143738793465716 \tabularnewline
0.23 & 93.4020146502403 & 0.146684822794985 \tabularnewline
0.24 & 93.4320820386037 & 0.149701988686542 \tabularnewline
0.25 & 93.4624206762878 & 0.153152995736118 \tabularnewline
0.26 & 93.4931439533059 & 0.157539779351477 \tabularnewline
0.27 & 93.5244303327624 & 0.163048203113639 \tabularnewline
0.28 & 93.5565243611104 & 0.170060257398455 \tabularnewline
0.29 & 93.5897385379072 & 0.179014393182184 \tabularnewline
0.3 & 93.6244584441943 & 0.190305427024753 \tabularnewline
0.31 & 93.6611517457783 & 0.204272479600949 \tabularnewline
0.32 & 93.700380088602 & 0.221917597420963 \tabularnewline
0.33 & 93.7428117938194 & 0.243883348018909 \tabularnewline
0.34 & 93.7892327467557 & 0.270866324847898 \tabularnewline
0.35 & 93.8405528916297 & 0.303764378613743 \tabularnewline
0.36 & 93.8978061163435 & 0.343300617238297 \tabularnewline
0.37 & 93.9621418278615 & 0.390105129485686 \tabularnewline
0.38 & 94.0348070091192 & 0.444860199464956 \tabularnewline
0.39 & 94.1171179422258 & 0.507533374858758 \tabularnewline
0.4 & 94.2104211302823 & 0.578510155856687 \tabularnewline
0.41 & 94.3160433995368 & 0.65730828460665 \tabularnewline
0.42 & 94.4352318935605 & 0.743510941882777 \tabularnewline
0.43 & 94.5690857975324 & 0.835785687936484 \tabularnewline
0.44 & 94.7184831194376 & 0.93254413219365 \tabularnewline
0.45 & 94.8840074776714 & 1.03197704429819 \tabularnewline
0.46 & 95.0658812056627 & 1.13134350247262 \tabularnewline
0.47 & 95.2639117237648 & 1.22798973104811 \tabularnewline
0.48 & 95.4774576761801 & 1.31885220100611 \tabularnewline
0.49 & 95.7054196587806 & 1.40127490335608 \tabularnewline
0.5 & 95.9462576824327 & 1.47250864655728 \tabularnewline
0.51 & 96.198034360594 & 1.53029766060439 \tabularnewline
0.52 & 96.4584799066993 & 1.57309557308688 \tabularnewline
0.53 & 96.7250730761068 & 1.59987901340794 \tabularnewline
0.54 & 96.9951316254928 & 1.60988256925108 \tabularnewline
0.55 & 97.2659066963996 & 1.60342621722471 \tabularnewline
0.56 & 97.5346773109527 & 1.58090850400143 \tabularnewline
0.57 & 97.7988431324723 & 1.54334878051395 \tabularnewline
0.58 & 98.0560149777371 & 1.49210918900416 \tabularnewline
0.59 & 98.3041027091051 & 1.42899631808242 \tabularnewline
0.6 & 98.541398998503 & 1.35630452795635 \tabularnewline
0.61 & 98.766655487855 & 1.27667675046329 \tabularnewline
0.62 & 98.9791459006957 & 1.19321182909283 \tabularnewline
0.63 & 99.1787095906145 & 1.10929529674553 \tabularnewline
0.64 & 99.3657694643222 & 1.0284144503035 \tabularnewline
0.65 & 99.5413202603913 & 0.954156803410558 \tabularnewline
0.66 & 99.706886251439 & 0.889714371131232 \tabularnewline
0.67 & 99.8644505782651 & 0.837628945699032 \tabularnewline
0.68 & 100.016360556772 & 0.800074985053829 \tabularnewline
0.69 & 100.165213721911 & 0.778052889923859 \tabularnewline
0.7 & 100.3137280884 & 0.771963961740655 \tabularnewline
0.71 & 100.464597922842 & 0.781112619050648 \tabularnewline
0.72 & 100.620334651965 & 0.803626565868285 \tabularnewline
0.73 & 100.783092934428 & 0.837131380986361 \tabularnewline
0.74 & 100.954485488369 & 0.877988900547782 \tabularnewline
0.75 & 101.135397056499 & 0.921687556424939 \tabularnewline
0.76 & 101.325816634186 & 0.963289526304103 \tabularnewline
0.77 & 101.524715276807 & 0.997129443227653 \tabularnewline
0.78 & 101.730001244765 & 1.01783711663327 \tabularnewline
0.79 & 101.938581956643 & 1.02056486834602 \tabularnewline
0.8 & 102.14655146298 & 1.00206519657321 \tabularnewline
0.81 & 102.349503262167 & 0.960643573097085 \tabularnewline
0.82 & 102.542944008174 & 0.897150897087325 \tabularnewline
0.83 & 102.722758845667 & 0.814801191464839 \tabularnewline
0.84 & 102.885659724183 & 0.71859256355493 \tabularnewline
0.85 & 103.029539894387 & 0.615286206209166 \tabularnewline
0.86 & 103.153665245333 & 0.511955349949378 \tabularnewline
0.87 & 103.258658234192 & 0.415274122996689 \tabularnewline
0.88 & 103.346272213797 & 0.330478730158045 \tabularnewline
0.89 & 103.419009895871 & 0.260610573890043 \tabularnewline
0.9 & 103.479705433153 & 0.206308502170555 \tabularnewline
0.91 & 103.531263156784 & 0.16581363742278 \tabularnewline
0.92 & 103.576829032041 & 0.136003314204328 \tabularnewline
0.93 & 103.620751538496 & 0.115046392820884 \tabularnewline
0.94 & 103.670660694705 & 0.106553489822481 \tabularnewline
0.95 & 103.740470436946 & 0.12623788601786 \tabularnewline
0.96 & 103.852291616323 & 0.199398707983347 \tabularnewline
0.97 & 104.031641458175 & 0.34634800797558 \tabularnewline
0.98 & 104.287753754288 & 0.569715354310593 \tabularnewline
0.99 & 104.57955289563 & 0.828152262525222 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]92.3515113623722[/C][C]0.208834342957487[/C][/ROW]
[ROW][C]0.02[/C][C]92.4479220031183[/C][C]0.211125979953226[/C][/ROW]
[ROW][C]0.03[/C][C]92.5536452049329[/C][C]0.203724941003709[/C][/ROW]
[ROW][C]0.04[/C][C]92.6513289796437[/C][C]0.184649082308919[/C][/ROW]
[ROW][C]0.05[/C][C]92.7343467502909[/C][C]0.162014912622787[/C][/ROW]
[ROW][C]0.06[/C][C]92.8029810376806[/C][C]0.144958294668862[/C][/ROW]
[ROW][C]0.07[/C][C]92.8604074967694[/C][C]0.13683437984239[/C][/ROW]
[ROW][C]0.08[/C][C]92.9101483660847[/C][C]0.135121902203876[/C][/ROW]
[ROW][C]0.09[/C][C]92.9548869637029[/C][C]0.135185112201656[/C][/ROW]
[ROW][C]0.1[/C][C]92.9962071917146[/C][C]0.134200564945889[/C][/ROW]
[ROW][C]0.11[/C][C]93.0348389765188[/C][C]0.13112948391905[/C][/ROW]
[ROW][C]0.12[/C][C]93.0710675733223[/C][C]0.126624287126523[/C][/ROW]
[ROW][C]0.13[/C][C]93.1050816512376[/C][C]0.12236019798511[/C][/ROW]
[ROW][C]0.14[/C][C]93.1371642759817[/C][C]0.119509988303991[/C][/ROW]
[ROW][C]0.15[/C][C]93.1677312785557[/C][C]0.118968130959459[/C][/ROW]
[ROW][C]0.16[/C][C]93.1972731029541[/C][C]0.120667975511895[/C][/ROW]
[ROW][C]0.17[/C][C]93.2262645585551[/C][C]0.123995885646593[/C][/ROW]
[ROW][C]0.18[/C][C]93.2550898205518[/C][C]0.128367030658983[/C][/ROW]
[ROW][C]0.19[/C][C]93.2840052240156[/C][C]0.132815943051452[/C][/ROW]
[ROW][C]0.2[/C][C]93.3131413942348[/C][C]0.136930482262164[/C][/ROW]
[ROW][C]0.21[/C][C]93.3425337376674[/C][C]0.140593348533878[/C][/ROW]
[ROW][C]0.22[/C][C]93.3721661623489[/C][C]0.143738793465716[/C][/ROW]
[ROW][C]0.23[/C][C]93.4020146502403[/C][C]0.146684822794985[/C][/ROW]
[ROW][C]0.24[/C][C]93.4320820386037[/C][C]0.149701988686542[/C][/ROW]
[ROW][C]0.25[/C][C]93.4624206762878[/C][C]0.153152995736118[/C][/ROW]
[ROW][C]0.26[/C][C]93.4931439533059[/C][C]0.157539779351477[/C][/ROW]
[ROW][C]0.27[/C][C]93.5244303327624[/C][C]0.163048203113639[/C][/ROW]
[ROW][C]0.28[/C][C]93.5565243611104[/C][C]0.170060257398455[/C][/ROW]
[ROW][C]0.29[/C][C]93.5897385379072[/C][C]0.179014393182184[/C][/ROW]
[ROW][C]0.3[/C][C]93.6244584441943[/C][C]0.190305427024753[/C][/ROW]
[ROW][C]0.31[/C][C]93.6611517457783[/C][C]0.204272479600949[/C][/ROW]
[ROW][C]0.32[/C][C]93.700380088602[/C][C]0.221917597420963[/C][/ROW]
[ROW][C]0.33[/C][C]93.7428117938194[/C][C]0.243883348018909[/C][/ROW]
[ROW][C]0.34[/C][C]93.7892327467557[/C][C]0.270866324847898[/C][/ROW]
[ROW][C]0.35[/C][C]93.8405528916297[/C][C]0.303764378613743[/C][/ROW]
[ROW][C]0.36[/C][C]93.8978061163435[/C][C]0.343300617238297[/C][/ROW]
[ROW][C]0.37[/C][C]93.9621418278615[/C][C]0.390105129485686[/C][/ROW]
[ROW][C]0.38[/C][C]94.0348070091192[/C][C]0.444860199464956[/C][/ROW]
[ROW][C]0.39[/C][C]94.1171179422258[/C][C]0.507533374858758[/C][/ROW]
[ROW][C]0.4[/C][C]94.2104211302823[/C][C]0.578510155856687[/C][/ROW]
[ROW][C]0.41[/C][C]94.3160433995368[/C][C]0.65730828460665[/C][/ROW]
[ROW][C]0.42[/C][C]94.4352318935605[/C][C]0.743510941882777[/C][/ROW]
[ROW][C]0.43[/C][C]94.5690857975324[/C][C]0.835785687936484[/C][/ROW]
[ROW][C]0.44[/C][C]94.7184831194376[/C][C]0.93254413219365[/C][/ROW]
[ROW][C]0.45[/C][C]94.8840074776714[/C][C]1.03197704429819[/C][/ROW]
[ROW][C]0.46[/C][C]95.0658812056627[/C][C]1.13134350247262[/C][/ROW]
[ROW][C]0.47[/C][C]95.2639117237648[/C][C]1.22798973104811[/C][/ROW]
[ROW][C]0.48[/C][C]95.4774576761801[/C][C]1.31885220100611[/C][/ROW]
[ROW][C]0.49[/C][C]95.7054196587806[/C][C]1.40127490335608[/C][/ROW]
[ROW][C]0.5[/C][C]95.9462576824327[/C][C]1.47250864655728[/C][/ROW]
[ROW][C]0.51[/C][C]96.198034360594[/C][C]1.53029766060439[/C][/ROW]
[ROW][C]0.52[/C][C]96.4584799066993[/C][C]1.57309557308688[/C][/ROW]
[ROW][C]0.53[/C][C]96.7250730761068[/C][C]1.59987901340794[/C][/ROW]
[ROW][C]0.54[/C][C]96.9951316254928[/C][C]1.60988256925108[/C][/ROW]
[ROW][C]0.55[/C][C]97.2659066963996[/C][C]1.60342621722471[/C][/ROW]
[ROW][C]0.56[/C][C]97.5346773109527[/C][C]1.58090850400143[/C][/ROW]
[ROW][C]0.57[/C][C]97.7988431324723[/C][C]1.54334878051395[/C][/ROW]
[ROW][C]0.58[/C][C]98.0560149777371[/C][C]1.49210918900416[/C][/ROW]
[ROW][C]0.59[/C][C]98.3041027091051[/C][C]1.42899631808242[/C][/ROW]
[ROW][C]0.6[/C][C]98.541398998503[/C][C]1.35630452795635[/C][/ROW]
[ROW][C]0.61[/C][C]98.766655487855[/C][C]1.27667675046329[/C][/ROW]
[ROW][C]0.62[/C][C]98.9791459006957[/C][C]1.19321182909283[/C][/ROW]
[ROW][C]0.63[/C][C]99.1787095906145[/C][C]1.10929529674553[/C][/ROW]
[ROW][C]0.64[/C][C]99.3657694643222[/C][C]1.0284144503035[/C][/ROW]
[ROW][C]0.65[/C][C]99.5413202603913[/C][C]0.954156803410558[/C][/ROW]
[ROW][C]0.66[/C][C]99.706886251439[/C][C]0.889714371131232[/C][/ROW]
[ROW][C]0.67[/C][C]99.8644505782651[/C][C]0.837628945699032[/C][/ROW]
[ROW][C]0.68[/C][C]100.016360556772[/C][C]0.800074985053829[/C][/ROW]
[ROW][C]0.69[/C][C]100.165213721911[/C][C]0.778052889923859[/C][/ROW]
[ROW][C]0.7[/C][C]100.3137280884[/C][C]0.771963961740655[/C][/ROW]
[ROW][C]0.71[/C][C]100.464597922842[/C][C]0.781112619050648[/C][/ROW]
[ROW][C]0.72[/C][C]100.620334651965[/C][C]0.803626565868285[/C][/ROW]
[ROW][C]0.73[/C][C]100.783092934428[/C][C]0.837131380986361[/C][/ROW]
[ROW][C]0.74[/C][C]100.954485488369[/C][C]0.877988900547782[/C][/ROW]
[ROW][C]0.75[/C][C]101.135397056499[/C][C]0.921687556424939[/C][/ROW]
[ROW][C]0.76[/C][C]101.325816634186[/C][C]0.963289526304103[/C][/ROW]
[ROW][C]0.77[/C][C]101.524715276807[/C][C]0.997129443227653[/C][/ROW]
[ROW][C]0.78[/C][C]101.730001244765[/C][C]1.01783711663327[/C][/ROW]
[ROW][C]0.79[/C][C]101.938581956643[/C][C]1.02056486834602[/C][/ROW]
[ROW][C]0.8[/C][C]102.14655146298[/C][C]1.00206519657321[/C][/ROW]
[ROW][C]0.81[/C][C]102.349503262167[/C][C]0.960643573097085[/C][/ROW]
[ROW][C]0.82[/C][C]102.542944008174[/C][C]0.897150897087325[/C][/ROW]
[ROW][C]0.83[/C][C]102.722758845667[/C][C]0.814801191464839[/C][/ROW]
[ROW][C]0.84[/C][C]102.885659724183[/C][C]0.71859256355493[/C][/ROW]
[ROW][C]0.85[/C][C]103.029539894387[/C][C]0.615286206209166[/C][/ROW]
[ROW][C]0.86[/C][C]103.153665245333[/C][C]0.511955349949378[/C][/ROW]
[ROW][C]0.87[/C][C]103.258658234192[/C][C]0.415274122996689[/C][/ROW]
[ROW][C]0.88[/C][C]103.346272213797[/C][C]0.330478730158045[/C][/ROW]
[ROW][C]0.89[/C][C]103.419009895871[/C][C]0.260610573890043[/C][/ROW]
[ROW][C]0.9[/C][C]103.479705433153[/C][C]0.206308502170555[/C][/ROW]
[ROW][C]0.91[/C][C]103.531263156784[/C][C]0.16581363742278[/C][/ROW]
[ROW][C]0.92[/C][C]103.576829032041[/C][C]0.136003314204328[/C][/ROW]
[ROW][C]0.93[/C][C]103.620751538496[/C][C]0.115046392820884[/C][/ROW]
[ROW][C]0.94[/C][C]103.670660694705[/C][C]0.106553489822481[/C][/ROW]
[ROW][C]0.95[/C][C]103.740470436946[/C][C]0.12623788601786[/C][/ROW]
[ROW][C]0.96[/C][C]103.852291616323[/C][C]0.199398707983347[/C][/ROW]
[ROW][C]0.97[/C][C]104.031641458175[/C][C]0.34634800797558[/C][/ROW]
[ROW][C]0.98[/C][C]104.287753754288[/C][C]0.569715354310593[/C][/ROW]
[ROW][C]0.99[/C][C]104.57955289563[/C][C]0.828152262525222[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0192.35151136237220.208834342957487
0.0292.44792200311830.211125979953226
0.0392.55364520493290.203724941003709
0.0492.65132897964370.184649082308919
0.0592.73434675029090.162014912622787
0.0692.80298103768060.144958294668862
0.0792.86040749676940.13683437984239
0.0892.91014836608470.135121902203876
0.0992.95488696370290.135185112201656
0.192.99620719171460.134200564945889
0.1193.03483897651880.13112948391905
0.1293.07106757332230.126624287126523
0.1393.10508165123760.12236019798511
0.1493.13716427598170.119509988303991
0.1593.16773127855570.118968130959459
0.1693.19727310295410.120667975511895
0.1793.22626455855510.123995885646593
0.1893.25508982055180.128367030658983
0.1993.28400522401560.132815943051452
0.293.31314139423480.136930482262164
0.2193.34253373766740.140593348533878
0.2293.37216616234890.143738793465716
0.2393.40201465024030.146684822794985
0.2493.43208203860370.149701988686542
0.2593.46242067628780.153152995736118
0.2693.49314395330590.157539779351477
0.2793.52443033276240.163048203113639
0.2893.55652436111040.170060257398455
0.2993.58973853790720.179014393182184
0.393.62445844419430.190305427024753
0.3193.66115174577830.204272479600949
0.3293.7003800886020.221917597420963
0.3393.74281179381940.243883348018909
0.3493.78923274675570.270866324847898
0.3593.84055289162970.303764378613743
0.3693.89780611634350.343300617238297
0.3793.96214182786150.390105129485686
0.3894.03480700911920.444860199464956
0.3994.11711794222580.507533374858758
0.494.21042113028230.578510155856687
0.4194.31604339953680.65730828460665
0.4294.43523189356050.743510941882777
0.4394.56908579753240.835785687936484
0.4494.71848311943760.93254413219365
0.4594.88400747767141.03197704429819
0.4695.06588120566271.13134350247262
0.4795.26391172376481.22798973104811
0.4895.47745767618011.31885220100611
0.4995.70541965878061.40127490335608
0.595.94625768243271.47250864655728
0.5196.1980343605941.53029766060439
0.5296.45847990669931.57309557308688
0.5396.72507307610681.59987901340794
0.5496.99513162549281.60988256925108
0.5597.26590669639961.60342621722471
0.5697.53467731095271.58090850400143
0.5797.79884313247231.54334878051395
0.5898.05601497773711.49210918900416
0.5998.30410270910511.42899631808242
0.698.5413989985031.35630452795635
0.6198.7666554878551.27667675046329
0.6298.97914590069571.19321182909283
0.6399.17870959061451.10929529674553
0.6499.36576946432221.0284144503035
0.6599.54132026039130.954156803410558
0.6699.7068862514390.889714371131232
0.6799.86445057826510.837628945699032
0.68100.0163605567720.800074985053829
0.69100.1652137219110.778052889923859
0.7100.31372808840.771963961740655
0.71100.4645979228420.781112619050648
0.72100.6203346519650.803626565868285
0.73100.7830929344280.837131380986361
0.74100.9544854883690.877988900547782
0.75101.1353970564990.921687556424939
0.76101.3258166341860.963289526304103
0.77101.5247152768070.997129443227653
0.78101.7300012447651.01783711663327
0.79101.9385819566431.02056486834602
0.8102.146551462981.00206519657321
0.81102.3495032621670.960643573097085
0.82102.5429440081740.897150897087325
0.83102.7227588456670.814801191464839
0.84102.8856597241830.71859256355493
0.85103.0295398943870.615286206209166
0.86103.1536652453330.511955349949378
0.87103.2586582341920.415274122996689
0.88103.3462722137970.330478730158045
0.89103.4190098958710.260610573890043
0.9103.4797054331530.206308502170555
0.91103.5312631567840.16581363742278
0.92103.5768290320410.136003314204328
0.93103.6207515384960.115046392820884
0.94103.6706606947050.106553489822481
0.95103.7404704369460.12623788601786
0.96103.8522916163230.199398707983347
0.97104.0316414581750.34634800797558
0.98104.2877537542880.569715354310593
0.99104.579552895630.828152262525222


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')