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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 computationMon, 15 Oct 2012 14:41:59 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/15/t1350326528tqmsmwy91belwwu.htm/, Retrieved Tue, 07 May 2024 17:00:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=177671, Retrieved Tue, 07 May 2024 17:00:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2012-09-24 19:32:04] [8ed3f4120f64b138d86c2354ccf260c2]
- RMP     [Harrell-Davis Quantiles] [] [2012-10-15 18:41:59] [3f9aa5867cfe47c4a12580af2904c765] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
103.24
103.43
103.43
103.43
103.31
103.31
103.31
103.31
104.06
104.8
105.36
105.38
105.38
105.38
108.37
112.21
112.05
112.05
112.06
112.05
111.36
111.36
111.36
111.36
111.78
111.89
111.89
111.89
112.02
112.02
112.02
112.02
112.02
112.02
112.02
111.28
111.28
111.28
111.28
110.56
110.56
110.56
110.56
110.56
111.37
109.43
109.43
109.57
109.57
109.57
109.57
109.57
109.39
111.68
111.68
111.68
111.93
111.93
111.93
111.93
111.56
111.89
111.89
111.89
110.82
110.82
110.82
110.82
110.98
110.98
111.78
111.78

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=177671&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=177671&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=177671&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01103.2578319770160.0528834797650291
0.02103.2813231881340.0355210328425987
0.03103.3034249981620.0342114255130038
0.04103.326229236750.0596423302631819
0.05103.3571245539360.110506862808746
0.06103.4047268404140.188617619452319
0.07103.4770993633260.294941216152827
0.08103.581027530010.426245228244499
0.09103.7213902254960.574571988280479
0.1103.9006383211670.729858083333505
0.11104.1187397182380.88347935034574
0.12104.3737345092521.03130843218165
0.13104.6626538673751.17414638603062
0.14104.9823230120651.3149190609741
0.15105.3296347597651.45390965161997
0.16105.7011826671461.58583140650157
0.17106.092492581031.69909159987103
0.18106.4973006618971.77889955457312
0.19106.9073062750191.81201303290924
0.2107.3126156404661.79047337784953
0.21107.7028051909151.7141943549945
0.22108.0683019430891.59092512296872
0.23108.4016842085471.43486041985532
0.24108.698561258241.26306328949805
0.25108.957848212961.09269583697295
0.26109.1814395612690.938096407891928
0.27109.3734359083820.808993801925995
0.28109.5391568229430.709454508215169
0.29109.6841736002190.638257548277059
0.3109.8135391970880.589819632638223
0.31109.9313087536740.556543338934692
0.32110.0403613668610.531223606267752
0.33110.1424713189540.508223344027128
0.34110.2385428971750.484377034958373
0.35110.3289161430580.45818440096893
0.36110.4136645153130.430112379238218
0.37110.4928305383910.401349378316574
0.38110.5665735584230.373494491040085
0.39110.6352283526540.348000345728875
0.4110.6992908488720.325976585269716
0.41110.7593564753520.307860077002215
0.42110.81603849530.293412901608003
0.43110.8698900355220.281870326132516
0.44110.9213467052670.272252309837636
0.45110.9706987991820.263413830876567
0.46111.0180946347320.25451276546251
0.47111.0635705452260.244987942151275
0.48111.1070989036040.234495147368113
0.49111.1486434254580.223282951685797
0.5111.1882108184150.211885202659378
0.51111.2258893847590.200894175608026
0.52111.2618680833980.191063730121058
0.53111.296433318720.183336138634738
0.54111.3299447406920.178028152983763
0.55111.3627949615950.175296227575868
0.56111.3953607212030.174900526957797
0.57111.4279542265110.176314948818615
0.58111.4607829691850.178626713037035
0.59111.4939244034120.180707236533785
0.6111.527318865110.18203157158368
0.61111.5607806703250.181677593671527
0.62111.5940241761150.179287794037458
0.63111.6266993734530.174690631842285
0.64111.6584307206040.167919376101464
0.65111.6888534796010.159155767697502
0.66111.7176434856810.148850259448457
0.67111.7445384852650.137366130108739
0.68111.7693512532290.125195954424271
0.69111.7919760904560.112756173475453
0.7111.8123907346550.100427587182789
0.71111.8306552633590.0886286352804717
0.72111.8469085832980.077656759174031
0.73111.8613620632140.0678560093682589
0.74111.8742891906260.0595732127002178
0.75111.8860100321030.0529883841920367
0.76111.8968697489890.0483771438463198
0.77111.907211333040.0456019865505077
0.78111.9173439411110.0444627718395552
0.79111.9275096443630.0445842761764229
0.8111.9378529770330.0453268488794676
0.81111.9483991082450.0460517688606334
0.82111.9590471902230.0461729110453504
0.83111.9695846296880.0450953800836113
0.84111.9797249556040.0426059679848468
0.85111.9891665058050.038656867319718
0.86111.9976622521440.0336046295840697
0.87112.0050847025830.0280262970282341
0.88112.0114665421680.0226667958907023
0.89112.017000062560.0182668354709899
0.9112.0219885666760.0154521294220115
0.91112.0267623239390.0142643225899152
0.92112.0316014154830.0141707333230654
0.93112.0367488439060.0142161575010722
0.94112.0426456080170.0140138977385706
0.95112.0505344168090.0146382738015887
0.96112.0633832598580.0204513569851719
0.97112.0862635858840.0377987335283906
0.98112.1237380943860.0703629843540561
0.99112.1717952021480.113511061826428

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 103.257831977016 & 0.0528834797650291 \tabularnewline
0.02 & 103.281323188134 & 0.0355210328425987 \tabularnewline
0.03 & 103.303424998162 & 0.0342114255130038 \tabularnewline
0.04 & 103.32622923675 & 0.0596423302631819 \tabularnewline
0.05 & 103.357124553936 & 0.110506862808746 \tabularnewline
0.06 & 103.404726840414 & 0.188617619452319 \tabularnewline
0.07 & 103.477099363326 & 0.294941216152827 \tabularnewline
0.08 & 103.58102753001 & 0.426245228244499 \tabularnewline
0.09 & 103.721390225496 & 0.574571988280479 \tabularnewline
0.1 & 103.900638321167 & 0.729858083333505 \tabularnewline
0.11 & 104.118739718238 & 0.88347935034574 \tabularnewline
0.12 & 104.373734509252 & 1.03130843218165 \tabularnewline
0.13 & 104.662653867375 & 1.17414638603062 \tabularnewline
0.14 & 104.982323012065 & 1.3149190609741 \tabularnewline
0.15 & 105.329634759765 & 1.45390965161997 \tabularnewline
0.16 & 105.701182667146 & 1.58583140650157 \tabularnewline
0.17 & 106.09249258103 & 1.69909159987103 \tabularnewline
0.18 & 106.497300661897 & 1.77889955457312 \tabularnewline
0.19 & 106.907306275019 & 1.81201303290924 \tabularnewline
0.2 & 107.312615640466 & 1.79047337784953 \tabularnewline
0.21 & 107.702805190915 & 1.7141943549945 \tabularnewline
0.22 & 108.068301943089 & 1.59092512296872 \tabularnewline
0.23 & 108.401684208547 & 1.43486041985532 \tabularnewline
0.24 & 108.69856125824 & 1.26306328949805 \tabularnewline
0.25 & 108.95784821296 & 1.09269583697295 \tabularnewline
0.26 & 109.181439561269 & 0.938096407891928 \tabularnewline
0.27 & 109.373435908382 & 0.808993801925995 \tabularnewline
0.28 & 109.539156822943 & 0.709454508215169 \tabularnewline
0.29 & 109.684173600219 & 0.638257548277059 \tabularnewline
0.3 & 109.813539197088 & 0.589819632638223 \tabularnewline
0.31 & 109.931308753674 & 0.556543338934692 \tabularnewline
0.32 & 110.040361366861 & 0.531223606267752 \tabularnewline
0.33 & 110.142471318954 & 0.508223344027128 \tabularnewline
0.34 & 110.238542897175 & 0.484377034958373 \tabularnewline
0.35 & 110.328916143058 & 0.45818440096893 \tabularnewline
0.36 & 110.413664515313 & 0.430112379238218 \tabularnewline
0.37 & 110.492830538391 & 0.401349378316574 \tabularnewline
0.38 & 110.566573558423 & 0.373494491040085 \tabularnewline
0.39 & 110.635228352654 & 0.348000345728875 \tabularnewline
0.4 & 110.699290848872 & 0.325976585269716 \tabularnewline
0.41 & 110.759356475352 & 0.307860077002215 \tabularnewline
0.42 & 110.8160384953 & 0.293412901608003 \tabularnewline
0.43 & 110.869890035522 & 0.281870326132516 \tabularnewline
0.44 & 110.921346705267 & 0.272252309837636 \tabularnewline
0.45 & 110.970698799182 & 0.263413830876567 \tabularnewline
0.46 & 111.018094634732 & 0.25451276546251 \tabularnewline
0.47 & 111.063570545226 & 0.244987942151275 \tabularnewline
0.48 & 111.107098903604 & 0.234495147368113 \tabularnewline
0.49 & 111.148643425458 & 0.223282951685797 \tabularnewline
0.5 & 111.188210818415 & 0.211885202659378 \tabularnewline
0.51 & 111.225889384759 & 0.200894175608026 \tabularnewline
0.52 & 111.261868083398 & 0.191063730121058 \tabularnewline
0.53 & 111.29643331872 & 0.183336138634738 \tabularnewline
0.54 & 111.329944740692 & 0.178028152983763 \tabularnewline
0.55 & 111.362794961595 & 0.175296227575868 \tabularnewline
0.56 & 111.395360721203 & 0.174900526957797 \tabularnewline
0.57 & 111.427954226511 & 0.176314948818615 \tabularnewline
0.58 & 111.460782969185 & 0.178626713037035 \tabularnewline
0.59 & 111.493924403412 & 0.180707236533785 \tabularnewline
0.6 & 111.52731886511 & 0.18203157158368 \tabularnewline
0.61 & 111.560780670325 & 0.181677593671527 \tabularnewline
0.62 & 111.594024176115 & 0.179287794037458 \tabularnewline
0.63 & 111.626699373453 & 0.174690631842285 \tabularnewline
0.64 & 111.658430720604 & 0.167919376101464 \tabularnewline
0.65 & 111.688853479601 & 0.159155767697502 \tabularnewline
0.66 & 111.717643485681 & 0.148850259448457 \tabularnewline
0.67 & 111.744538485265 & 0.137366130108739 \tabularnewline
0.68 & 111.769351253229 & 0.125195954424271 \tabularnewline
0.69 & 111.791976090456 & 0.112756173475453 \tabularnewline
0.7 & 111.812390734655 & 0.100427587182789 \tabularnewline
0.71 & 111.830655263359 & 0.0886286352804717 \tabularnewline
0.72 & 111.846908583298 & 0.077656759174031 \tabularnewline
0.73 & 111.861362063214 & 0.0678560093682589 \tabularnewline
0.74 & 111.874289190626 & 0.0595732127002178 \tabularnewline
0.75 & 111.886010032103 & 0.0529883841920367 \tabularnewline
0.76 & 111.896869748989 & 0.0483771438463198 \tabularnewline
0.77 & 111.90721133304 & 0.0456019865505077 \tabularnewline
0.78 & 111.917343941111 & 0.0444627718395552 \tabularnewline
0.79 & 111.927509644363 & 0.0445842761764229 \tabularnewline
0.8 & 111.937852977033 & 0.0453268488794676 \tabularnewline
0.81 & 111.948399108245 & 0.0460517688606334 \tabularnewline
0.82 & 111.959047190223 & 0.0461729110453504 \tabularnewline
0.83 & 111.969584629688 & 0.0450953800836113 \tabularnewline
0.84 & 111.979724955604 & 0.0426059679848468 \tabularnewline
0.85 & 111.989166505805 & 0.038656867319718 \tabularnewline
0.86 & 111.997662252144 & 0.0336046295840697 \tabularnewline
0.87 & 112.005084702583 & 0.0280262970282341 \tabularnewline
0.88 & 112.011466542168 & 0.0226667958907023 \tabularnewline
0.89 & 112.01700006256 & 0.0182668354709899 \tabularnewline
0.9 & 112.021988566676 & 0.0154521294220115 \tabularnewline
0.91 & 112.026762323939 & 0.0142643225899152 \tabularnewline
0.92 & 112.031601415483 & 0.0141707333230654 \tabularnewline
0.93 & 112.036748843906 & 0.0142161575010722 \tabularnewline
0.94 & 112.042645608017 & 0.0140138977385706 \tabularnewline
0.95 & 112.050534416809 & 0.0146382738015887 \tabularnewline
0.96 & 112.063383259858 & 0.0204513569851719 \tabularnewline
0.97 & 112.086263585884 & 0.0377987335283906 \tabularnewline
0.98 & 112.123738094386 & 0.0703629843540561 \tabularnewline
0.99 & 112.171795202148 & 0.113511061826428 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=177671&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]103.257831977016[/C][C]0.0528834797650291[/C][/ROW]
[ROW][C]0.02[/C][C]103.281323188134[/C][C]0.0355210328425987[/C][/ROW]
[ROW][C]0.03[/C][C]103.303424998162[/C][C]0.0342114255130038[/C][/ROW]
[ROW][C]0.04[/C][C]103.32622923675[/C][C]0.0596423302631819[/C][/ROW]
[ROW][C]0.05[/C][C]103.357124553936[/C][C]0.110506862808746[/C][/ROW]
[ROW][C]0.06[/C][C]103.404726840414[/C][C]0.188617619452319[/C][/ROW]
[ROW][C]0.07[/C][C]103.477099363326[/C][C]0.294941216152827[/C][/ROW]
[ROW][C]0.08[/C][C]103.58102753001[/C][C]0.426245228244499[/C][/ROW]
[ROW][C]0.09[/C][C]103.721390225496[/C][C]0.574571988280479[/C][/ROW]
[ROW][C]0.1[/C][C]103.900638321167[/C][C]0.729858083333505[/C][/ROW]
[ROW][C]0.11[/C][C]104.118739718238[/C][C]0.88347935034574[/C][/ROW]
[ROW][C]0.12[/C][C]104.373734509252[/C][C]1.03130843218165[/C][/ROW]
[ROW][C]0.13[/C][C]104.662653867375[/C][C]1.17414638603062[/C][/ROW]
[ROW][C]0.14[/C][C]104.982323012065[/C][C]1.3149190609741[/C][/ROW]
[ROW][C]0.15[/C][C]105.329634759765[/C][C]1.45390965161997[/C][/ROW]
[ROW][C]0.16[/C][C]105.701182667146[/C][C]1.58583140650157[/C][/ROW]
[ROW][C]0.17[/C][C]106.09249258103[/C][C]1.69909159987103[/C][/ROW]
[ROW][C]0.18[/C][C]106.497300661897[/C][C]1.77889955457312[/C][/ROW]
[ROW][C]0.19[/C][C]106.907306275019[/C][C]1.81201303290924[/C][/ROW]
[ROW][C]0.2[/C][C]107.312615640466[/C][C]1.79047337784953[/C][/ROW]
[ROW][C]0.21[/C][C]107.702805190915[/C][C]1.7141943549945[/C][/ROW]
[ROW][C]0.22[/C][C]108.068301943089[/C][C]1.59092512296872[/C][/ROW]
[ROW][C]0.23[/C][C]108.401684208547[/C][C]1.43486041985532[/C][/ROW]
[ROW][C]0.24[/C][C]108.69856125824[/C][C]1.26306328949805[/C][/ROW]
[ROW][C]0.25[/C][C]108.95784821296[/C][C]1.09269583697295[/C][/ROW]
[ROW][C]0.26[/C][C]109.181439561269[/C][C]0.938096407891928[/C][/ROW]
[ROW][C]0.27[/C][C]109.373435908382[/C][C]0.808993801925995[/C][/ROW]
[ROW][C]0.28[/C][C]109.539156822943[/C][C]0.709454508215169[/C][/ROW]
[ROW][C]0.29[/C][C]109.684173600219[/C][C]0.638257548277059[/C][/ROW]
[ROW][C]0.3[/C][C]109.813539197088[/C][C]0.589819632638223[/C][/ROW]
[ROW][C]0.31[/C][C]109.931308753674[/C][C]0.556543338934692[/C][/ROW]
[ROW][C]0.32[/C][C]110.040361366861[/C][C]0.531223606267752[/C][/ROW]
[ROW][C]0.33[/C][C]110.142471318954[/C][C]0.508223344027128[/C][/ROW]
[ROW][C]0.34[/C][C]110.238542897175[/C][C]0.484377034958373[/C][/ROW]
[ROW][C]0.35[/C][C]110.328916143058[/C][C]0.45818440096893[/C][/ROW]
[ROW][C]0.36[/C][C]110.413664515313[/C][C]0.430112379238218[/C][/ROW]
[ROW][C]0.37[/C][C]110.492830538391[/C][C]0.401349378316574[/C][/ROW]
[ROW][C]0.38[/C][C]110.566573558423[/C][C]0.373494491040085[/C][/ROW]
[ROW][C]0.39[/C][C]110.635228352654[/C][C]0.348000345728875[/C][/ROW]
[ROW][C]0.4[/C][C]110.699290848872[/C][C]0.325976585269716[/C][/ROW]
[ROW][C]0.41[/C][C]110.759356475352[/C][C]0.307860077002215[/C][/ROW]
[ROW][C]0.42[/C][C]110.8160384953[/C][C]0.293412901608003[/C][/ROW]
[ROW][C]0.43[/C][C]110.869890035522[/C][C]0.281870326132516[/C][/ROW]
[ROW][C]0.44[/C][C]110.921346705267[/C][C]0.272252309837636[/C][/ROW]
[ROW][C]0.45[/C][C]110.970698799182[/C][C]0.263413830876567[/C][/ROW]
[ROW][C]0.46[/C][C]111.018094634732[/C][C]0.25451276546251[/C][/ROW]
[ROW][C]0.47[/C][C]111.063570545226[/C][C]0.244987942151275[/C][/ROW]
[ROW][C]0.48[/C][C]111.107098903604[/C][C]0.234495147368113[/C][/ROW]
[ROW][C]0.49[/C][C]111.148643425458[/C][C]0.223282951685797[/C][/ROW]
[ROW][C]0.5[/C][C]111.188210818415[/C][C]0.211885202659378[/C][/ROW]
[ROW][C]0.51[/C][C]111.225889384759[/C][C]0.200894175608026[/C][/ROW]
[ROW][C]0.52[/C][C]111.261868083398[/C][C]0.191063730121058[/C][/ROW]
[ROW][C]0.53[/C][C]111.29643331872[/C][C]0.183336138634738[/C][/ROW]
[ROW][C]0.54[/C][C]111.329944740692[/C][C]0.178028152983763[/C][/ROW]
[ROW][C]0.55[/C][C]111.362794961595[/C][C]0.175296227575868[/C][/ROW]
[ROW][C]0.56[/C][C]111.395360721203[/C][C]0.174900526957797[/C][/ROW]
[ROW][C]0.57[/C][C]111.427954226511[/C][C]0.176314948818615[/C][/ROW]
[ROW][C]0.58[/C][C]111.460782969185[/C][C]0.178626713037035[/C][/ROW]
[ROW][C]0.59[/C][C]111.493924403412[/C][C]0.180707236533785[/C][/ROW]
[ROW][C]0.6[/C][C]111.52731886511[/C][C]0.18203157158368[/C][/ROW]
[ROW][C]0.61[/C][C]111.560780670325[/C][C]0.181677593671527[/C][/ROW]
[ROW][C]0.62[/C][C]111.594024176115[/C][C]0.179287794037458[/C][/ROW]
[ROW][C]0.63[/C][C]111.626699373453[/C][C]0.174690631842285[/C][/ROW]
[ROW][C]0.64[/C][C]111.658430720604[/C][C]0.167919376101464[/C][/ROW]
[ROW][C]0.65[/C][C]111.688853479601[/C][C]0.159155767697502[/C][/ROW]
[ROW][C]0.66[/C][C]111.717643485681[/C][C]0.148850259448457[/C][/ROW]
[ROW][C]0.67[/C][C]111.744538485265[/C][C]0.137366130108739[/C][/ROW]
[ROW][C]0.68[/C][C]111.769351253229[/C][C]0.125195954424271[/C][/ROW]
[ROW][C]0.69[/C][C]111.791976090456[/C][C]0.112756173475453[/C][/ROW]
[ROW][C]0.7[/C][C]111.812390734655[/C][C]0.100427587182789[/C][/ROW]
[ROW][C]0.71[/C][C]111.830655263359[/C][C]0.0886286352804717[/C][/ROW]
[ROW][C]0.72[/C][C]111.846908583298[/C][C]0.077656759174031[/C][/ROW]
[ROW][C]0.73[/C][C]111.861362063214[/C][C]0.0678560093682589[/C][/ROW]
[ROW][C]0.74[/C][C]111.874289190626[/C][C]0.0595732127002178[/C][/ROW]
[ROW][C]0.75[/C][C]111.886010032103[/C][C]0.0529883841920367[/C][/ROW]
[ROW][C]0.76[/C][C]111.896869748989[/C][C]0.0483771438463198[/C][/ROW]
[ROW][C]0.77[/C][C]111.90721133304[/C][C]0.0456019865505077[/C][/ROW]
[ROW][C]0.78[/C][C]111.917343941111[/C][C]0.0444627718395552[/C][/ROW]
[ROW][C]0.79[/C][C]111.927509644363[/C][C]0.0445842761764229[/C][/ROW]
[ROW][C]0.8[/C][C]111.937852977033[/C][C]0.0453268488794676[/C][/ROW]
[ROW][C]0.81[/C][C]111.948399108245[/C][C]0.0460517688606334[/C][/ROW]
[ROW][C]0.82[/C][C]111.959047190223[/C][C]0.0461729110453504[/C][/ROW]
[ROW][C]0.83[/C][C]111.969584629688[/C][C]0.0450953800836113[/C][/ROW]
[ROW][C]0.84[/C][C]111.979724955604[/C][C]0.0426059679848468[/C][/ROW]
[ROW][C]0.85[/C][C]111.989166505805[/C][C]0.038656867319718[/C][/ROW]
[ROW][C]0.86[/C][C]111.997662252144[/C][C]0.0336046295840697[/C][/ROW]
[ROW][C]0.87[/C][C]112.005084702583[/C][C]0.0280262970282341[/C][/ROW]
[ROW][C]0.88[/C][C]112.011466542168[/C][C]0.0226667958907023[/C][/ROW]
[ROW][C]0.89[/C][C]112.01700006256[/C][C]0.0182668354709899[/C][/ROW]
[ROW][C]0.9[/C][C]112.021988566676[/C][C]0.0154521294220115[/C][/ROW]
[ROW][C]0.91[/C][C]112.026762323939[/C][C]0.0142643225899152[/C][/ROW]
[ROW][C]0.92[/C][C]112.031601415483[/C][C]0.0141707333230654[/C][/ROW]
[ROW][C]0.93[/C][C]112.036748843906[/C][C]0.0142161575010722[/C][/ROW]
[ROW][C]0.94[/C][C]112.042645608017[/C][C]0.0140138977385706[/C][/ROW]
[ROW][C]0.95[/C][C]112.050534416809[/C][C]0.0146382738015887[/C][/ROW]
[ROW][C]0.96[/C][C]112.063383259858[/C][C]0.0204513569851719[/C][/ROW]
[ROW][C]0.97[/C][C]112.086263585884[/C][C]0.0377987335283906[/C][/ROW]
[ROW][C]0.98[/C][C]112.123738094386[/C][C]0.0703629843540561[/C][/ROW]
[ROW][C]0.99[/C][C]112.171795202148[/C][C]0.113511061826428[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=177671&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=177671&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
0.01103.2578319770160.0528834797650291
0.02103.2813231881340.0355210328425987
0.03103.3034249981620.0342114255130038
0.04103.326229236750.0596423302631819
0.05103.3571245539360.110506862808746
0.06103.4047268404140.188617619452319
0.07103.4770993633260.294941216152827
0.08103.581027530010.426245228244499
0.09103.7213902254960.574571988280479
0.1103.9006383211670.729858083333505
0.11104.1187397182380.88347935034574
0.12104.3737345092521.03130843218165
0.13104.6626538673751.17414638603062
0.14104.9823230120651.3149190609741
0.15105.3296347597651.45390965161997
0.16105.7011826671461.58583140650157
0.17106.092492581031.69909159987103
0.18106.4973006618971.77889955457312
0.19106.9073062750191.81201303290924
0.2107.3126156404661.79047337784953
0.21107.7028051909151.7141943549945
0.22108.0683019430891.59092512296872
0.23108.4016842085471.43486041985532
0.24108.698561258241.26306328949805
0.25108.957848212961.09269583697295
0.26109.1814395612690.938096407891928
0.27109.3734359083820.808993801925995
0.28109.5391568229430.709454508215169
0.29109.6841736002190.638257548277059
0.3109.8135391970880.589819632638223
0.31109.9313087536740.556543338934692
0.32110.0403613668610.531223606267752
0.33110.1424713189540.508223344027128
0.34110.2385428971750.484377034958373
0.35110.3289161430580.45818440096893
0.36110.4136645153130.430112379238218
0.37110.4928305383910.401349378316574
0.38110.5665735584230.373494491040085
0.39110.6352283526540.348000345728875
0.4110.6992908488720.325976585269716
0.41110.7593564753520.307860077002215
0.42110.81603849530.293412901608003
0.43110.8698900355220.281870326132516
0.44110.9213467052670.272252309837636
0.45110.9706987991820.263413830876567
0.46111.0180946347320.25451276546251
0.47111.0635705452260.244987942151275
0.48111.1070989036040.234495147368113
0.49111.1486434254580.223282951685797
0.5111.1882108184150.211885202659378
0.51111.2258893847590.200894175608026
0.52111.2618680833980.191063730121058
0.53111.296433318720.183336138634738
0.54111.3299447406920.178028152983763
0.55111.3627949615950.175296227575868
0.56111.3953607212030.174900526957797
0.57111.4279542265110.176314948818615
0.58111.4607829691850.178626713037035
0.59111.4939244034120.180707236533785
0.6111.527318865110.18203157158368
0.61111.5607806703250.181677593671527
0.62111.5940241761150.179287794037458
0.63111.6266993734530.174690631842285
0.64111.6584307206040.167919376101464
0.65111.6888534796010.159155767697502
0.66111.7176434856810.148850259448457
0.67111.7445384852650.137366130108739
0.68111.7693512532290.125195954424271
0.69111.7919760904560.112756173475453
0.7111.8123907346550.100427587182789
0.71111.8306552633590.0886286352804717
0.72111.8469085832980.077656759174031
0.73111.8613620632140.0678560093682589
0.74111.8742891906260.0595732127002178
0.75111.8860100321030.0529883841920367
0.76111.8968697489890.0483771438463198
0.77111.907211333040.0456019865505077
0.78111.9173439411110.0444627718395552
0.79111.9275096443630.0445842761764229
0.8111.9378529770330.0453268488794676
0.81111.9483991082450.0460517688606334
0.82111.9590471902230.0461729110453504
0.83111.9695846296880.0450953800836113
0.84111.9797249556040.0426059679848468
0.85111.9891665058050.038656867319718
0.86111.9976622521440.0336046295840697
0.87112.0050847025830.0280262970282341
0.88112.0114665421680.0226667958907023
0.89112.017000062560.0182668354709899
0.9112.0219885666760.0154521294220115
0.91112.0267623239390.0142643225899152
0.92112.0316014154830.0141707333230654
0.93112.0367488439060.0142161575010722
0.94112.0426456080170.0140138977385706
0.95112.0505344168090.0146382738015887
0.96112.0633832598580.0204513569851719
0.97112.0862635858840.0377987335283906
0.98112.1237380943860.0703629843540561
0.99112.1717952021480.113511061826428


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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')