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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, 27 Feb 2016 13:33:49 +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/2016/Feb/27/t1456580051volbpc5jruxg2a7.htm/, Retrieved Sat, 27 Apr 2024 09:09:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292877, Retrieved Sat, 27 Apr 2024 09:09:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [Percentiel Consum...] [2016-02-27 13:28:54] [e6773be784e85f51fb44487d8478f111]
- R       [Harrell-Davis Quantiles] [Percentiel Consum...] [2016-02-27 13:33:49] [268d33ec1c95cc32f8abd6e0112b4a36] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98.72
98.67
98.82
99.39
99.33
99.22
99.05
98.83
98.84
98.89
98.8
99.4
98.89
98.85
98.69
98.48
98.39
98.35
98.26
98.06
98.14
98.17
98.41
98.64
99.25
99.61
100.28
100.31
100.55
100.45
100.78
100.68
101.69
98.09
99.13
99.18
96.22
96.11
96
95.96
97.95
98.43
98.32
97.45
96.42
95.36
95.1
95.54
94.07
93.48
92.86
90.98
91.45
91.16
90.71
90.31
89.78
91.02
90.77
90.69

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292877&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292877&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292877&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0189.90865239390430.475888006449368
0.0290.09764250691540.410700141558531
0.0390.29164661252310.343479892783978
0.0490.45974085294270.286917179128392
0.0590.59675002418960.254867356592698
0.0690.71176393429630.260514983299526
0.0790.81846968976550.308987430635446
0.0890.93025624423860.397149901878619
0.0991.05844491353350.51938342990807
0.191.21180138297250.669269982318018
0.1191.39635224868640.837717434715735
0.1291.6152088261861.01275907923038
0.1391.86844298065891.18113539507996
0.1492.15316054070221.32946601498083
0.1592.4638754137521.4469638004265
0.1692.79318469740661.52647134487095
0.1793.13264834292871.5652868757078
0.1893.47372511951591.56488156339736
0.1993.80861752206541.53029058027674
0.294.13091737582571.4688707356445
0.2194.43599849135911.38957641107498
0.2294.72115333906141.30146300250963
0.2394.98550660135031.21294047574364
0.2495.22975755414541.13129286240218
0.2595.45580898258691.06225122143539
0.2695.66633801306221.00907393691277
0.2795.86435824815790.972730721170289
0.2896.05281534840980.95140456924828
0.2996.23425031743420.941788741411106
0.396.41055582275630.938790404451363
0.3196.58284046107060.937109304077068
0.3296.75140407117750.93163521625766
0.3396.91581493225530.918505228960801
0.3497.0750685114980.894915588784433
0.3597.2277990868980.859807606732477
0.3697.37251148100010.813397421652442
0.3797.50780095380750.757489304995088
0.3897.63253470639360.694253446864654
0.3997.74597723118030.627043733277431
0.497.84785210697210.558758530469364
0.4197.93834282219770.492545499684215
0.4298.01804315826360.430832744921774
0.4398.08787253918920.375388719903415
0.4498.14897327723570.327358114816768
0.4598.20260523868380.287358502610609
0.4698.25005002248720.255154573631502
0.4798.2925323825860.230382008278816
0.4898.33116234332560.211946554174347
0.4998.36689798621390.198894528252486
0.598.40052658672160.190099192618483
0.5198.43266066598220.184275826555525
0.5298.46374535731040.180404769034304
0.5398.49407391370010.17763476077091
0.5498.52380884300050.175204548898139
0.5598.55300678118940.172576495581504
0.5698.58164565223720.169222533496598
0.5798.60965288141340.164986129889474
0.5898.63693347234120.159975322284276
0.5998.66339670566820.154170007261685
0.698.68898014558110.147816304155563
0.6198.71366960533480.141278709522716
0.6298.73751375945930.13507952874308
0.6398.76063222440690.129557487431086
0.6498.78321619129830.1254236111198
0.6598.80552112249170.12286712186893
0.6698.82785165419420.122365535682821
0.6798.85053969165160.124040059050251
0.6898.87391770133830.127815114890316
0.6998.89829028597060.133233133397524
0.798.92390809495510.139948817713213
0.7198.95094875582950.147158910195237
0.7298.97950959738310.154360515737963
0.7399.0096163136640.16106303839395
0.7499.04125031721150.166796873735602
0.7599.07439535794040.171500428797004
0.7699.10910109181640.175548071618498
0.7799.14555772365410.179658896696646
0.7899.18417169492710.185004862361971
0.7999.22562787609840.193233849992995
0.899.27091952882410.206063409786644
0.8199.32132486007990.225130790261026
0.8299.37831061073260.251193670342942
0.8399.44335158380270.283916861897756
0.8499.51767236076940.321479408259785
0.8599.60194308042750.360436352043819
0.8699.69598997791080.396052404127847
0.8799.79860339764040.423166282637554
0.8899.9075288737140.436865138792321
0.89100.0197024487540.434008321996079
0.9100.1317449925130.413992285328874
0.91100.240688393780.379453804423559
0.92100.3449127544820.335893965652312
0.93100.4453527903990.291086249391882
0.94100.5470921271090.254855764676394
0.95100.6611442326690.241280195187429
0.96100.8048654516670.27264237722462
0.97100.996846030780.371965666347841
0.98101.2407690563370.540721770286387
0.99101.5002239081080.741358261775416

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 89.9086523939043 & 0.475888006449368 \tabularnewline
0.02 & 90.0976425069154 & 0.410700141558531 \tabularnewline
0.03 & 90.2916466125231 & 0.343479892783978 \tabularnewline
0.04 & 90.4597408529427 & 0.286917179128392 \tabularnewline
0.05 & 90.5967500241896 & 0.254867356592698 \tabularnewline
0.06 & 90.7117639342963 & 0.260514983299526 \tabularnewline
0.07 & 90.8184696897655 & 0.308987430635446 \tabularnewline
0.08 & 90.9302562442386 & 0.397149901878619 \tabularnewline
0.09 & 91.0584449135335 & 0.51938342990807 \tabularnewline
0.1 & 91.2118013829725 & 0.669269982318018 \tabularnewline
0.11 & 91.3963522486864 & 0.837717434715735 \tabularnewline
0.12 & 91.615208826186 & 1.01275907923038 \tabularnewline
0.13 & 91.8684429806589 & 1.18113539507996 \tabularnewline
0.14 & 92.1531605407022 & 1.32946601498083 \tabularnewline
0.15 & 92.463875413752 & 1.4469638004265 \tabularnewline
0.16 & 92.7931846974066 & 1.52647134487095 \tabularnewline
0.17 & 93.1326483429287 & 1.5652868757078 \tabularnewline
0.18 & 93.4737251195159 & 1.56488156339736 \tabularnewline
0.19 & 93.8086175220654 & 1.53029058027674 \tabularnewline
0.2 & 94.1309173758257 & 1.4688707356445 \tabularnewline
0.21 & 94.4359984913591 & 1.38957641107498 \tabularnewline
0.22 & 94.7211533390614 & 1.30146300250963 \tabularnewline
0.23 & 94.9855066013503 & 1.21294047574364 \tabularnewline
0.24 & 95.2297575541454 & 1.13129286240218 \tabularnewline
0.25 & 95.4558089825869 & 1.06225122143539 \tabularnewline
0.26 & 95.6663380130622 & 1.00907393691277 \tabularnewline
0.27 & 95.8643582481579 & 0.972730721170289 \tabularnewline
0.28 & 96.0528153484098 & 0.95140456924828 \tabularnewline
0.29 & 96.2342503174342 & 0.941788741411106 \tabularnewline
0.3 & 96.4105558227563 & 0.938790404451363 \tabularnewline
0.31 & 96.5828404610706 & 0.937109304077068 \tabularnewline
0.32 & 96.7514040711775 & 0.93163521625766 \tabularnewline
0.33 & 96.9158149322553 & 0.918505228960801 \tabularnewline
0.34 & 97.075068511498 & 0.894915588784433 \tabularnewline
0.35 & 97.227799086898 & 0.859807606732477 \tabularnewline
0.36 & 97.3725114810001 & 0.813397421652442 \tabularnewline
0.37 & 97.5078009538075 & 0.757489304995088 \tabularnewline
0.38 & 97.6325347063936 & 0.694253446864654 \tabularnewline
0.39 & 97.7459772311803 & 0.627043733277431 \tabularnewline
0.4 & 97.8478521069721 & 0.558758530469364 \tabularnewline
0.41 & 97.9383428221977 & 0.492545499684215 \tabularnewline
0.42 & 98.0180431582636 & 0.430832744921774 \tabularnewline
0.43 & 98.0878725391892 & 0.375388719903415 \tabularnewline
0.44 & 98.1489732772357 & 0.327358114816768 \tabularnewline
0.45 & 98.2026052386838 & 0.287358502610609 \tabularnewline
0.46 & 98.2500500224872 & 0.255154573631502 \tabularnewline
0.47 & 98.292532382586 & 0.230382008278816 \tabularnewline
0.48 & 98.3311623433256 & 0.211946554174347 \tabularnewline
0.49 & 98.3668979862139 & 0.198894528252486 \tabularnewline
0.5 & 98.4005265867216 & 0.190099192618483 \tabularnewline
0.51 & 98.4326606659822 & 0.184275826555525 \tabularnewline
0.52 & 98.4637453573104 & 0.180404769034304 \tabularnewline
0.53 & 98.4940739137001 & 0.17763476077091 \tabularnewline
0.54 & 98.5238088430005 & 0.175204548898139 \tabularnewline
0.55 & 98.5530067811894 & 0.172576495581504 \tabularnewline
0.56 & 98.5816456522372 & 0.169222533496598 \tabularnewline
0.57 & 98.6096528814134 & 0.164986129889474 \tabularnewline
0.58 & 98.6369334723412 & 0.159975322284276 \tabularnewline
0.59 & 98.6633967056682 & 0.154170007261685 \tabularnewline
0.6 & 98.6889801455811 & 0.147816304155563 \tabularnewline
0.61 & 98.7136696053348 & 0.141278709522716 \tabularnewline
0.62 & 98.7375137594593 & 0.13507952874308 \tabularnewline
0.63 & 98.7606322244069 & 0.129557487431086 \tabularnewline
0.64 & 98.7832161912983 & 0.1254236111198 \tabularnewline
0.65 & 98.8055211224917 & 0.12286712186893 \tabularnewline
0.66 & 98.8278516541942 & 0.122365535682821 \tabularnewline
0.67 & 98.8505396916516 & 0.124040059050251 \tabularnewline
0.68 & 98.8739177013383 & 0.127815114890316 \tabularnewline
0.69 & 98.8982902859706 & 0.133233133397524 \tabularnewline
0.7 & 98.9239080949551 & 0.139948817713213 \tabularnewline
0.71 & 98.9509487558295 & 0.147158910195237 \tabularnewline
0.72 & 98.9795095973831 & 0.154360515737963 \tabularnewline
0.73 & 99.009616313664 & 0.16106303839395 \tabularnewline
0.74 & 99.0412503172115 & 0.166796873735602 \tabularnewline
0.75 & 99.0743953579404 & 0.171500428797004 \tabularnewline
0.76 & 99.1091010918164 & 0.175548071618498 \tabularnewline
0.77 & 99.1455577236541 & 0.179658896696646 \tabularnewline
0.78 & 99.1841716949271 & 0.185004862361971 \tabularnewline
0.79 & 99.2256278760984 & 0.193233849992995 \tabularnewline
0.8 & 99.2709195288241 & 0.206063409786644 \tabularnewline
0.81 & 99.3213248600799 & 0.225130790261026 \tabularnewline
0.82 & 99.3783106107326 & 0.251193670342942 \tabularnewline
0.83 & 99.4433515838027 & 0.283916861897756 \tabularnewline
0.84 & 99.5176723607694 & 0.321479408259785 \tabularnewline
0.85 & 99.6019430804275 & 0.360436352043819 \tabularnewline
0.86 & 99.6959899779108 & 0.396052404127847 \tabularnewline
0.87 & 99.7986033976404 & 0.423166282637554 \tabularnewline
0.88 & 99.907528873714 & 0.436865138792321 \tabularnewline
0.89 & 100.019702448754 & 0.434008321996079 \tabularnewline
0.9 & 100.131744992513 & 0.413992285328874 \tabularnewline
0.91 & 100.24068839378 & 0.379453804423559 \tabularnewline
0.92 & 100.344912754482 & 0.335893965652312 \tabularnewline
0.93 & 100.445352790399 & 0.291086249391882 \tabularnewline
0.94 & 100.547092127109 & 0.254855764676394 \tabularnewline
0.95 & 100.661144232669 & 0.241280195187429 \tabularnewline
0.96 & 100.804865451667 & 0.27264237722462 \tabularnewline
0.97 & 100.99684603078 & 0.371965666347841 \tabularnewline
0.98 & 101.240769056337 & 0.540721770286387 \tabularnewline
0.99 & 101.500223908108 & 0.741358261775416 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292877&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]89.9086523939043[/C][C]0.475888006449368[/C][/ROW]
[ROW][C]0.02[/C][C]90.0976425069154[/C][C]0.410700141558531[/C][/ROW]
[ROW][C]0.03[/C][C]90.2916466125231[/C][C]0.343479892783978[/C][/ROW]
[ROW][C]0.04[/C][C]90.4597408529427[/C][C]0.286917179128392[/C][/ROW]
[ROW][C]0.05[/C][C]90.5967500241896[/C][C]0.254867356592698[/C][/ROW]
[ROW][C]0.06[/C][C]90.7117639342963[/C][C]0.260514983299526[/C][/ROW]
[ROW][C]0.07[/C][C]90.8184696897655[/C][C]0.308987430635446[/C][/ROW]
[ROW][C]0.08[/C][C]90.9302562442386[/C][C]0.397149901878619[/C][/ROW]
[ROW][C]0.09[/C][C]91.0584449135335[/C][C]0.51938342990807[/C][/ROW]
[ROW][C]0.1[/C][C]91.2118013829725[/C][C]0.669269982318018[/C][/ROW]
[ROW][C]0.11[/C][C]91.3963522486864[/C][C]0.837717434715735[/C][/ROW]
[ROW][C]0.12[/C][C]91.615208826186[/C][C]1.01275907923038[/C][/ROW]
[ROW][C]0.13[/C][C]91.8684429806589[/C][C]1.18113539507996[/C][/ROW]
[ROW][C]0.14[/C][C]92.1531605407022[/C][C]1.32946601498083[/C][/ROW]
[ROW][C]0.15[/C][C]92.463875413752[/C][C]1.4469638004265[/C][/ROW]
[ROW][C]0.16[/C][C]92.7931846974066[/C][C]1.52647134487095[/C][/ROW]
[ROW][C]0.17[/C][C]93.1326483429287[/C][C]1.5652868757078[/C][/ROW]
[ROW][C]0.18[/C][C]93.4737251195159[/C][C]1.56488156339736[/C][/ROW]
[ROW][C]0.19[/C][C]93.8086175220654[/C][C]1.53029058027674[/C][/ROW]
[ROW][C]0.2[/C][C]94.1309173758257[/C][C]1.4688707356445[/C][/ROW]
[ROW][C]0.21[/C][C]94.4359984913591[/C][C]1.38957641107498[/C][/ROW]
[ROW][C]0.22[/C][C]94.7211533390614[/C][C]1.30146300250963[/C][/ROW]
[ROW][C]0.23[/C][C]94.9855066013503[/C][C]1.21294047574364[/C][/ROW]
[ROW][C]0.24[/C][C]95.2297575541454[/C][C]1.13129286240218[/C][/ROW]
[ROW][C]0.25[/C][C]95.4558089825869[/C][C]1.06225122143539[/C][/ROW]
[ROW][C]0.26[/C][C]95.6663380130622[/C][C]1.00907393691277[/C][/ROW]
[ROW][C]0.27[/C][C]95.8643582481579[/C][C]0.972730721170289[/C][/ROW]
[ROW][C]0.28[/C][C]96.0528153484098[/C][C]0.95140456924828[/C][/ROW]
[ROW][C]0.29[/C][C]96.2342503174342[/C][C]0.941788741411106[/C][/ROW]
[ROW][C]0.3[/C][C]96.4105558227563[/C][C]0.938790404451363[/C][/ROW]
[ROW][C]0.31[/C][C]96.5828404610706[/C][C]0.937109304077068[/C][/ROW]
[ROW][C]0.32[/C][C]96.7514040711775[/C][C]0.93163521625766[/C][/ROW]
[ROW][C]0.33[/C][C]96.9158149322553[/C][C]0.918505228960801[/C][/ROW]
[ROW][C]0.34[/C][C]97.075068511498[/C][C]0.894915588784433[/C][/ROW]
[ROW][C]0.35[/C][C]97.227799086898[/C][C]0.859807606732477[/C][/ROW]
[ROW][C]0.36[/C][C]97.3725114810001[/C][C]0.813397421652442[/C][/ROW]
[ROW][C]0.37[/C][C]97.5078009538075[/C][C]0.757489304995088[/C][/ROW]
[ROW][C]0.38[/C][C]97.6325347063936[/C][C]0.694253446864654[/C][/ROW]
[ROW][C]0.39[/C][C]97.7459772311803[/C][C]0.627043733277431[/C][/ROW]
[ROW][C]0.4[/C][C]97.8478521069721[/C][C]0.558758530469364[/C][/ROW]
[ROW][C]0.41[/C][C]97.9383428221977[/C][C]0.492545499684215[/C][/ROW]
[ROW][C]0.42[/C][C]98.0180431582636[/C][C]0.430832744921774[/C][/ROW]
[ROW][C]0.43[/C][C]98.0878725391892[/C][C]0.375388719903415[/C][/ROW]
[ROW][C]0.44[/C][C]98.1489732772357[/C][C]0.327358114816768[/C][/ROW]
[ROW][C]0.45[/C][C]98.2026052386838[/C][C]0.287358502610609[/C][/ROW]
[ROW][C]0.46[/C][C]98.2500500224872[/C][C]0.255154573631502[/C][/ROW]
[ROW][C]0.47[/C][C]98.292532382586[/C][C]0.230382008278816[/C][/ROW]
[ROW][C]0.48[/C][C]98.3311623433256[/C][C]0.211946554174347[/C][/ROW]
[ROW][C]0.49[/C][C]98.3668979862139[/C][C]0.198894528252486[/C][/ROW]
[ROW][C]0.5[/C][C]98.4005265867216[/C][C]0.190099192618483[/C][/ROW]
[ROW][C]0.51[/C][C]98.4326606659822[/C][C]0.184275826555525[/C][/ROW]
[ROW][C]0.52[/C][C]98.4637453573104[/C][C]0.180404769034304[/C][/ROW]
[ROW][C]0.53[/C][C]98.4940739137001[/C][C]0.17763476077091[/C][/ROW]
[ROW][C]0.54[/C][C]98.5238088430005[/C][C]0.175204548898139[/C][/ROW]
[ROW][C]0.55[/C][C]98.5530067811894[/C][C]0.172576495581504[/C][/ROW]
[ROW][C]0.56[/C][C]98.5816456522372[/C][C]0.169222533496598[/C][/ROW]
[ROW][C]0.57[/C][C]98.6096528814134[/C][C]0.164986129889474[/C][/ROW]
[ROW][C]0.58[/C][C]98.6369334723412[/C][C]0.159975322284276[/C][/ROW]
[ROW][C]0.59[/C][C]98.6633967056682[/C][C]0.154170007261685[/C][/ROW]
[ROW][C]0.6[/C][C]98.6889801455811[/C][C]0.147816304155563[/C][/ROW]
[ROW][C]0.61[/C][C]98.7136696053348[/C][C]0.141278709522716[/C][/ROW]
[ROW][C]0.62[/C][C]98.7375137594593[/C][C]0.13507952874308[/C][/ROW]
[ROW][C]0.63[/C][C]98.7606322244069[/C][C]0.129557487431086[/C][/ROW]
[ROW][C]0.64[/C][C]98.7832161912983[/C][C]0.1254236111198[/C][/ROW]
[ROW][C]0.65[/C][C]98.8055211224917[/C][C]0.12286712186893[/C][/ROW]
[ROW][C]0.66[/C][C]98.8278516541942[/C][C]0.122365535682821[/C][/ROW]
[ROW][C]0.67[/C][C]98.8505396916516[/C][C]0.124040059050251[/C][/ROW]
[ROW][C]0.68[/C][C]98.8739177013383[/C][C]0.127815114890316[/C][/ROW]
[ROW][C]0.69[/C][C]98.8982902859706[/C][C]0.133233133397524[/C][/ROW]
[ROW][C]0.7[/C][C]98.9239080949551[/C][C]0.139948817713213[/C][/ROW]
[ROW][C]0.71[/C][C]98.9509487558295[/C][C]0.147158910195237[/C][/ROW]
[ROW][C]0.72[/C][C]98.9795095973831[/C][C]0.154360515737963[/C][/ROW]
[ROW][C]0.73[/C][C]99.009616313664[/C][C]0.16106303839395[/C][/ROW]
[ROW][C]0.74[/C][C]99.0412503172115[/C][C]0.166796873735602[/C][/ROW]
[ROW][C]0.75[/C][C]99.0743953579404[/C][C]0.171500428797004[/C][/ROW]
[ROW][C]0.76[/C][C]99.1091010918164[/C][C]0.175548071618498[/C][/ROW]
[ROW][C]0.77[/C][C]99.1455577236541[/C][C]0.179658896696646[/C][/ROW]
[ROW][C]0.78[/C][C]99.1841716949271[/C][C]0.185004862361971[/C][/ROW]
[ROW][C]0.79[/C][C]99.2256278760984[/C][C]0.193233849992995[/C][/ROW]
[ROW][C]0.8[/C][C]99.2709195288241[/C][C]0.206063409786644[/C][/ROW]
[ROW][C]0.81[/C][C]99.3213248600799[/C][C]0.225130790261026[/C][/ROW]
[ROW][C]0.82[/C][C]99.3783106107326[/C][C]0.251193670342942[/C][/ROW]
[ROW][C]0.83[/C][C]99.4433515838027[/C][C]0.283916861897756[/C][/ROW]
[ROW][C]0.84[/C][C]99.5176723607694[/C][C]0.321479408259785[/C][/ROW]
[ROW][C]0.85[/C][C]99.6019430804275[/C][C]0.360436352043819[/C][/ROW]
[ROW][C]0.86[/C][C]99.6959899779108[/C][C]0.396052404127847[/C][/ROW]
[ROW][C]0.87[/C][C]99.7986033976404[/C][C]0.423166282637554[/C][/ROW]
[ROW][C]0.88[/C][C]99.907528873714[/C][C]0.436865138792321[/C][/ROW]
[ROW][C]0.89[/C][C]100.019702448754[/C][C]0.434008321996079[/C][/ROW]
[ROW][C]0.9[/C][C]100.131744992513[/C][C]0.413992285328874[/C][/ROW]
[ROW][C]0.91[/C][C]100.24068839378[/C][C]0.379453804423559[/C][/ROW]
[ROW][C]0.92[/C][C]100.344912754482[/C][C]0.335893965652312[/C][/ROW]
[ROW][C]0.93[/C][C]100.445352790399[/C][C]0.291086249391882[/C][/ROW]
[ROW][C]0.94[/C][C]100.547092127109[/C][C]0.254855764676394[/C][/ROW]
[ROW][C]0.95[/C][C]100.661144232669[/C][C]0.241280195187429[/C][/ROW]
[ROW][C]0.96[/C][C]100.804865451667[/C][C]0.27264237722462[/C][/ROW]
[ROW][C]0.97[/C][C]100.99684603078[/C][C]0.371965666347841[/C][/ROW]
[ROW][C]0.98[/C][C]101.240769056337[/C][C]0.540721770286387[/C][/ROW]
[ROW][C]0.99[/C][C]101.500223908108[/C][C]0.741358261775416[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292877&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292877&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
0.0189.90865239390430.475888006449368
0.0290.09764250691540.410700141558531
0.0390.29164661252310.343479892783978
0.0490.45974085294270.286917179128392
0.0590.59675002418960.254867356592698
0.0690.71176393429630.260514983299526
0.0790.81846968976550.308987430635446
0.0890.93025624423860.397149901878619
0.0991.05844491353350.51938342990807
0.191.21180138297250.669269982318018
0.1191.39635224868640.837717434715735
0.1291.6152088261861.01275907923038
0.1391.86844298065891.18113539507996
0.1492.15316054070221.32946601498083
0.1592.4638754137521.4469638004265
0.1692.79318469740661.52647134487095
0.1793.13264834292871.5652868757078
0.1893.47372511951591.56488156339736
0.1993.80861752206541.53029058027674
0.294.13091737582571.4688707356445
0.2194.43599849135911.38957641107498
0.2294.72115333906141.30146300250963
0.2394.98550660135031.21294047574364
0.2495.22975755414541.13129286240218
0.2595.45580898258691.06225122143539
0.2695.66633801306221.00907393691277
0.2795.86435824815790.972730721170289
0.2896.05281534840980.95140456924828
0.2996.23425031743420.941788741411106
0.396.41055582275630.938790404451363
0.3196.58284046107060.937109304077068
0.3296.75140407117750.93163521625766
0.3396.91581493225530.918505228960801
0.3497.0750685114980.894915588784433
0.3597.2277990868980.859807606732477
0.3697.37251148100010.813397421652442
0.3797.50780095380750.757489304995088
0.3897.63253470639360.694253446864654
0.3997.74597723118030.627043733277431
0.497.84785210697210.558758530469364
0.4197.93834282219770.492545499684215
0.4298.01804315826360.430832744921774
0.4398.08787253918920.375388719903415
0.4498.14897327723570.327358114816768
0.4598.20260523868380.287358502610609
0.4698.25005002248720.255154573631502
0.4798.2925323825860.230382008278816
0.4898.33116234332560.211946554174347
0.4998.36689798621390.198894528252486
0.598.40052658672160.190099192618483
0.5198.43266066598220.184275826555525
0.5298.46374535731040.180404769034304
0.5398.49407391370010.17763476077091
0.5498.52380884300050.175204548898139
0.5598.55300678118940.172576495581504
0.5698.58164565223720.169222533496598
0.5798.60965288141340.164986129889474
0.5898.63693347234120.159975322284276
0.5998.66339670566820.154170007261685
0.698.68898014558110.147816304155563
0.6198.71366960533480.141278709522716
0.6298.73751375945930.13507952874308
0.6398.76063222440690.129557487431086
0.6498.78321619129830.1254236111198
0.6598.80552112249170.12286712186893
0.6698.82785165419420.122365535682821
0.6798.85053969165160.124040059050251
0.6898.87391770133830.127815114890316
0.6998.89829028597060.133233133397524
0.798.92390809495510.139948817713213
0.7198.95094875582950.147158910195237
0.7298.97950959738310.154360515737963
0.7399.0096163136640.16106303839395
0.7499.04125031721150.166796873735602
0.7599.07439535794040.171500428797004
0.7699.10910109181640.175548071618498
0.7799.14555772365410.179658896696646
0.7899.18417169492710.185004862361971
0.7999.22562787609840.193233849992995
0.899.27091952882410.206063409786644
0.8199.32132486007990.225130790261026
0.8299.37831061073260.251193670342942
0.8399.44335158380270.283916861897756
0.8499.51767236076940.321479408259785
0.8599.60194308042750.360436352043819
0.8699.69598997791080.396052404127847
0.8799.79860339764040.423166282637554
0.8899.9075288737140.436865138792321
0.89100.0197024487540.434008321996079
0.9100.1317449925130.413992285328874
0.91100.240688393780.379453804423559
0.92100.3449127544820.335893965652312
0.93100.4453527903990.291086249391882
0.94100.5470921271090.254855764676394
0.95100.6611442326690.241280195187429
0.96100.8048654516670.27264237722462
0.97100.996846030780.371965666347841
0.98101.2407690563370.540721770286387
0.99101.5002239081080.741358261775416


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')