FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 02 Jan 2012 08:43:44 -0500
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/Jan/02/t1325511906c770fh84avexkqy.htm/, Retrieved Sat, 04 May 2024 13:22:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160917, Retrieved Sat, 04 May 2024 13:22:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact158

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] [perceptielen] [2012-01-02 13:43:44] [5f178b5bce8a01d64692a8a5c649399b] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
123.46
123.24
123.86
124.28
124.78
125.19
125.46
127.60
127.80
126.63
127.06
126.77
127.05
128.23
128.60
128.97
129.34
129.71
130.08
130.45
128.82
132.19
131.56
131.93
132.30
130.67
133.05
132.42
133.79
134.16
134.53
136.90
135.27
136.64
136.01
136.38
136.75
138.12
137.50
137.87
138.24
138.61
138.98
140.35
139.72
143.09
140.46
141.83
143.20
140.57
141.95
141.32
142.69
143.06
144.43
143.80
144.17
144.54
146.91
145.28
144.65
145.02
144.40
146.77
146.14
147.51
148.88
148.25
147.62
150.99
148.36
149.73
150.10

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=160917&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=160917&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160917&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
0.01123.3449699256830.282860266715337
0.02123.5388541404550.409998264450471
0.03123.7921493659260.543423244783103
0.04124.0815467637360.659763585920268
0.05124.3929706137990.759486704522417
0.06124.7177300532150.845300421143627
0.07125.0494232211540.914868251195369
0.08125.3821763907430.962611953303983
0.09125.7100298768090.98380226087126
0.1126.0273359751110.979200326110047
0.11126.3297182886230.956300091032773
0.12126.6149406688750.926179989826063
0.13126.8831963299550.900239648413339
0.14127.1367110308140.885814650758254
0.15127.3788990673850.884897191240446
0.16127.6134510384610.89549372084752
0.17127.8436610874060.914045546792317
0.18128.0721200151070.937843145153358
0.19128.3007272513780.964904435782277
0.2128.53087951360.995160959740071
0.21128.7636864180751.02927922102973
0.22129.0001131550621.06746816110959
0.23129.2410174527521.10938715863596
0.24129.4871024270061.15432073777388
0.25129.7388351548731.20026825643384
0.26129.99638326631.24555913866662
0.27130.2596063232221.28793075933355
0.28130.528114971181.32679182229929
0.29130.801387184131.36144499337996
0.3131.0789131906871.39274115227044
0.31131.3603320530351.4222238868956
0.32131.6455242318981.45195201256874
0.33131.9346346772141.48345942789587
0.34132.2280172390861.51827404878815
0.35132.5261095633361.55622549397854
0.36132.8292638407691.59633546921853
0.37133.1375691530131.63615964973676
0.38133.4507035131451.6725632558488
0.39133.7678478129171.70182844855378
0.4134.0876814479661.72127008287878
0.41134.4084634432871.72831232975667
0.42134.7281869980931.72187151176416
0.43135.0447827055181.70260710386113
0.44135.3563384509361.67152485697051
0.45135.661302978371.63190354124457
0.46135.958644833611.58721558557426
0.47136.2479473049341.54124567727096
0.48136.529430969851.49789872231205
0.49136.8039063349291.46097124398967
0.5137.0726680283471.43251744744574
0.51137.3373479634881.41434016203253
0.52137.5997475127811.40666090397574
0.53137.8616683541151.40880601657149
0.54138.1247590160241.41959991615736
0.55138.3903900849171.43640654102671
0.56138.6595662574641.45720373993851
0.57138.9328784463621.47921152375104
0.58139.2104943924671.4998354056994
0.59139.4921821341261.51698796856783
0.6139.7773577435031.52919104141471
0.61140.0651474504171.53492702031446
0.62140.3544548905931.53360677036781
0.63140.6440265278231.52452586488256
0.64140.932511563331.50758432287735
0.65141.2185157692961.48280595107875
0.66141.500650657111.45048072617088
0.67141.7775797765251.41100229138954
0.68142.048063165261.36477799171136
0.69142.311000191061.31326489683122
0.7142.5654715544221.25710817993663
0.71142.8107836451711.19790052875133
0.72143.0465219469911.13712187179517
0.73143.2726224065621.07604691352154
0.74143.4894674852881.01706489337627
0.75143.6980045596810.962294652722881
0.76143.8998684489640.914827483678778
0.77144.0974707873940.878674886387764
0.78144.2940039234090.857638453260369
0.79144.4933049488290.855270963496006
0.8144.6995437096140.872948077379848
0.81144.9167391439760.90865207112068
0.82145.1481644464910.956999667573326
0.83145.3957577292861.00957680099167
0.84145.6596897066081.05674186777137
0.85145.9382339883741.08918487204364
0.86146.228031197171.10039343070253
0.87146.5247473732851.08764312243027
0.88146.8240306857421.05269012901821
0.89147.1226021831321.00155059108676
0.9147.4192863154830.943293560649678
0.91147.7157634467340.888303517027885
0.92148.0167652730080.846771489633652
0.93148.329385630390.825636851304457
0.94148.6614113718290.823238364273864
0.95149.0194127619020.8247280484234
0.96149.408172604570.806853539039595
0.97149.8308188679310.76219642068314
0.98150.2802220168230.732592631460719
0.99150.7071281434280.784652493293591

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 123.344969925683 & 0.282860266715337 \tabularnewline
0.02 & 123.538854140455 & 0.409998264450471 \tabularnewline
0.03 & 123.792149365926 & 0.543423244783103 \tabularnewline
0.04 & 124.081546763736 & 0.659763585920268 \tabularnewline
0.05 & 124.392970613799 & 0.759486704522417 \tabularnewline
0.06 & 124.717730053215 & 0.845300421143627 \tabularnewline
0.07 & 125.049423221154 & 0.914868251195369 \tabularnewline
0.08 & 125.382176390743 & 0.962611953303983 \tabularnewline
0.09 & 125.710029876809 & 0.98380226087126 \tabularnewline
0.1 & 126.027335975111 & 0.979200326110047 \tabularnewline
0.11 & 126.329718288623 & 0.956300091032773 \tabularnewline
0.12 & 126.614940668875 & 0.926179989826063 \tabularnewline
0.13 & 126.883196329955 & 0.900239648413339 \tabularnewline
0.14 & 127.136711030814 & 0.885814650758254 \tabularnewline
0.15 & 127.378899067385 & 0.884897191240446 \tabularnewline
0.16 & 127.613451038461 & 0.89549372084752 \tabularnewline
0.17 & 127.843661087406 & 0.914045546792317 \tabularnewline
0.18 & 128.072120015107 & 0.937843145153358 \tabularnewline
0.19 & 128.300727251378 & 0.964904435782277 \tabularnewline
0.2 & 128.5308795136 & 0.995160959740071 \tabularnewline
0.21 & 128.763686418075 & 1.02927922102973 \tabularnewline
0.22 & 129.000113155062 & 1.06746816110959 \tabularnewline
0.23 & 129.241017452752 & 1.10938715863596 \tabularnewline
0.24 & 129.487102427006 & 1.15432073777388 \tabularnewline
0.25 & 129.738835154873 & 1.20026825643384 \tabularnewline
0.26 & 129.9963832663 & 1.24555913866662 \tabularnewline
0.27 & 130.259606323222 & 1.28793075933355 \tabularnewline
0.28 & 130.52811497118 & 1.32679182229929 \tabularnewline
0.29 & 130.80138718413 & 1.36144499337996 \tabularnewline
0.3 & 131.078913190687 & 1.39274115227044 \tabularnewline
0.31 & 131.360332053035 & 1.4222238868956 \tabularnewline
0.32 & 131.645524231898 & 1.45195201256874 \tabularnewline
0.33 & 131.934634677214 & 1.48345942789587 \tabularnewline
0.34 & 132.228017239086 & 1.51827404878815 \tabularnewline
0.35 & 132.526109563336 & 1.55622549397854 \tabularnewline
0.36 & 132.829263840769 & 1.59633546921853 \tabularnewline
0.37 & 133.137569153013 & 1.63615964973676 \tabularnewline
0.38 & 133.450703513145 & 1.6725632558488 \tabularnewline
0.39 & 133.767847812917 & 1.70182844855378 \tabularnewline
0.4 & 134.087681447966 & 1.72127008287878 \tabularnewline
0.41 & 134.408463443287 & 1.72831232975667 \tabularnewline
0.42 & 134.728186998093 & 1.72187151176416 \tabularnewline
0.43 & 135.044782705518 & 1.70260710386113 \tabularnewline
0.44 & 135.356338450936 & 1.67152485697051 \tabularnewline
0.45 & 135.66130297837 & 1.63190354124457 \tabularnewline
0.46 & 135.95864483361 & 1.58721558557426 \tabularnewline
0.47 & 136.247947304934 & 1.54124567727096 \tabularnewline
0.48 & 136.52943096985 & 1.49789872231205 \tabularnewline
0.49 & 136.803906334929 & 1.46097124398967 \tabularnewline
0.5 & 137.072668028347 & 1.43251744744574 \tabularnewline
0.51 & 137.337347963488 & 1.41434016203253 \tabularnewline
0.52 & 137.599747512781 & 1.40666090397574 \tabularnewline
0.53 & 137.861668354115 & 1.40880601657149 \tabularnewline
0.54 & 138.124759016024 & 1.41959991615736 \tabularnewline
0.55 & 138.390390084917 & 1.43640654102671 \tabularnewline
0.56 & 138.659566257464 & 1.45720373993851 \tabularnewline
0.57 & 138.932878446362 & 1.47921152375104 \tabularnewline
0.58 & 139.210494392467 & 1.4998354056994 \tabularnewline
0.59 & 139.492182134126 & 1.51698796856783 \tabularnewline
0.6 & 139.777357743503 & 1.52919104141471 \tabularnewline
0.61 & 140.065147450417 & 1.53492702031446 \tabularnewline
0.62 & 140.354454890593 & 1.53360677036781 \tabularnewline
0.63 & 140.644026527823 & 1.52452586488256 \tabularnewline
0.64 & 140.93251156333 & 1.50758432287735 \tabularnewline
0.65 & 141.218515769296 & 1.48280595107875 \tabularnewline
0.66 & 141.50065065711 & 1.45048072617088 \tabularnewline
0.67 & 141.777579776525 & 1.41100229138954 \tabularnewline
0.68 & 142.04806316526 & 1.36477799171136 \tabularnewline
0.69 & 142.31100019106 & 1.31326489683122 \tabularnewline
0.7 & 142.565471554422 & 1.25710817993663 \tabularnewline
0.71 & 142.810783645171 & 1.19790052875133 \tabularnewline
0.72 & 143.046521946991 & 1.13712187179517 \tabularnewline
0.73 & 143.272622406562 & 1.07604691352154 \tabularnewline
0.74 & 143.489467485288 & 1.01706489337627 \tabularnewline
0.75 & 143.698004559681 & 0.962294652722881 \tabularnewline
0.76 & 143.899868448964 & 0.914827483678778 \tabularnewline
0.77 & 144.097470787394 & 0.878674886387764 \tabularnewline
0.78 & 144.294003923409 & 0.857638453260369 \tabularnewline
0.79 & 144.493304948829 & 0.855270963496006 \tabularnewline
0.8 & 144.699543709614 & 0.872948077379848 \tabularnewline
0.81 & 144.916739143976 & 0.90865207112068 \tabularnewline
0.82 & 145.148164446491 & 0.956999667573326 \tabularnewline
0.83 & 145.395757729286 & 1.00957680099167 \tabularnewline
0.84 & 145.659689706608 & 1.05674186777137 \tabularnewline
0.85 & 145.938233988374 & 1.08918487204364 \tabularnewline
0.86 & 146.22803119717 & 1.10039343070253 \tabularnewline
0.87 & 146.524747373285 & 1.08764312243027 \tabularnewline
0.88 & 146.824030685742 & 1.05269012901821 \tabularnewline
0.89 & 147.122602183132 & 1.00155059108676 \tabularnewline
0.9 & 147.419286315483 & 0.943293560649678 \tabularnewline
0.91 & 147.715763446734 & 0.888303517027885 \tabularnewline
0.92 & 148.016765273008 & 0.846771489633652 \tabularnewline
0.93 & 148.32938563039 & 0.825636851304457 \tabularnewline
0.94 & 148.661411371829 & 0.823238364273864 \tabularnewline
0.95 & 149.019412761902 & 0.8247280484234 \tabularnewline
0.96 & 149.40817260457 & 0.806853539039595 \tabularnewline
0.97 & 149.830818867931 & 0.76219642068314 \tabularnewline
0.98 & 150.280222016823 & 0.732592631460719 \tabularnewline
0.99 & 150.707128143428 & 0.784652493293591 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160917&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]123.344969925683[/C][C]0.282860266715337[/C][/ROW]
[ROW][C]0.02[/C][C]123.538854140455[/C][C]0.409998264450471[/C][/ROW]
[ROW][C]0.03[/C][C]123.792149365926[/C][C]0.543423244783103[/C][/ROW]
[ROW][C]0.04[/C][C]124.081546763736[/C][C]0.659763585920268[/C][/ROW]
[ROW][C]0.05[/C][C]124.392970613799[/C][C]0.759486704522417[/C][/ROW]
[ROW][C]0.06[/C][C]124.717730053215[/C][C]0.845300421143627[/C][/ROW]
[ROW][C]0.07[/C][C]125.049423221154[/C][C]0.914868251195369[/C][/ROW]
[ROW][C]0.08[/C][C]125.382176390743[/C][C]0.962611953303983[/C][/ROW]
[ROW][C]0.09[/C][C]125.710029876809[/C][C]0.98380226087126[/C][/ROW]
[ROW][C]0.1[/C][C]126.027335975111[/C][C]0.979200326110047[/C][/ROW]
[ROW][C]0.11[/C][C]126.329718288623[/C][C]0.956300091032773[/C][/ROW]
[ROW][C]0.12[/C][C]126.614940668875[/C][C]0.926179989826063[/C][/ROW]
[ROW][C]0.13[/C][C]126.883196329955[/C][C]0.900239648413339[/C][/ROW]
[ROW][C]0.14[/C][C]127.136711030814[/C][C]0.885814650758254[/C][/ROW]
[ROW][C]0.15[/C][C]127.378899067385[/C][C]0.884897191240446[/C][/ROW]
[ROW][C]0.16[/C][C]127.613451038461[/C][C]0.89549372084752[/C][/ROW]
[ROW][C]0.17[/C][C]127.843661087406[/C][C]0.914045546792317[/C][/ROW]
[ROW][C]0.18[/C][C]128.072120015107[/C][C]0.937843145153358[/C][/ROW]
[ROW][C]0.19[/C][C]128.300727251378[/C][C]0.964904435782277[/C][/ROW]
[ROW][C]0.2[/C][C]128.5308795136[/C][C]0.995160959740071[/C][/ROW]
[ROW][C]0.21[/C][C]128.763686418075[/C][C]1.02927922102973[/C][/ROW]
[ROW][C]0.22[/C][C]129.000113155062[/C][C]1.06746816110959[/C][/ROW]
[ROW][C]0.23[/C][C]129.241017452752[/C][C]1.10938715863596[/C][/ROW]
[ROW][C]0.24[/C][C]129.487102427006[/C][C]1.15432073777388[/C][/ROW]
[ROW][C]0.25[/C][C]129.738835154873[/C][C]1.20026825643384[/C][/ROW]
[ROW][C]0.26[/C][C]129.9963832663[/C][C]1.24555913866662[/C][/ROW]
[ROW][C]0.27[/C][C]130.259606323222[/C][C]1.28793075933355[/C][/ROW]
[ROW][C]0.28[/C][C]130.52811497118[/C][C]1.32679182229929[/C][/ROW]
[ROW][C]0.29[/C][C]130.80138718413[/C][C]1.36144499337996[/C][/ROW]
[ROW][C]0.3[/C][C]131.078913190687[/C][C]1.39274115227044[/C][/ROW]
[ROW][C]0.31[/C][C]131.360332053035[/C][C]1.4222238868956[/C][/ROW]
[ROW][C]0.32[/C][C]131.645524231898[/C][C]1.45195201256874[/C][/ROW]
[ROW][C]0.33[/C][C]131.934634677214[/C][C]1.48345942789587[/C][/ROW]
[ROW][C]0.34[/C][C]132.228017239086[/C][C]1.51827404878815[/C][/ROW]
[ROW][C]0.35[/C][C]132.526109563336[/C][C]1.55622549397854[/C][/ROW]
[ROW][C]0.36[/C][C]132.829263840769[/C][C]1.59633546921853[/C][/ROW]
[ROW][C]0.37[/C][C]133.137569153013[/C][C]1.63615964973676[/C][/ROW]
[ROW][C]0.38[/C][C]133.450703513145[/C][C]1.6725632558488[/C][/ROW]
[ROW][C]0.39[/C][C]133.767847812917[/C][C]1.70182844855378[/C][/ROW]
[ROW][C]0.4[/C][C]134.087681447966[/C][C]1.72127008287878[/C][/ROW]
[ROW][C]0.41[/C][C]134.408463443287[/C][C]1.72831232975667[/C][/ROW]
[ROW][C]0.42[/C][C]134.728186998093[/C][C]1.72187151176416[/C][/ROW]
[ROW][C]0.43[/C][C]135.044782705518[/C][C]1.70260710386113[/C][/ROW]
[ROW][C]0.44[/C][C]135.356338450936[/C][C]1.67152485697051[/C][/ROW]
[ROW][C]0.45[/C][C]135.66130297837[/C][C]1.63190354124457[/C][/ROW]
[ROW][C]0.46[/C][C]135.95864483361[/C][C]1.58721558557426[/C][/ROW]
[ROW][C]0.47[/C][C]136.247947304934[/C][C]1.54124567727096[/C][/ROW]
[ROW][C]0.48[/C][C]136.52943096985[/C][C]1.49789872231205[/C][/ROW]
[ROW][C]0.49[/C][C]136.803906334929[/C][C]1.46097124398967[/C][/ROW]
[ROW][C]0.5[/C][C]137.072668028347[/C][C]1.43251744744574[/C][/ROW]
[ROW][C]0.51[/C][C]137.337347963488[/C][C]1.41434016203253[/C][/ROW]
[ROW][C]0.52[/C][C]137.599747512781[/C][C]1.40666090397574[/C][/ROW]
[ROW][C]0.53[/C][C]137.861668354115[/C][C]1.40880601657149[/C][/ROW]
[ROW][C]0.54[/C][C]138.124759016024[/C][C]1.41959991615736[/C][/ROW]
[ROW][C]0.55[/C][C]138.390390084917[/C][C]1.43640654102671[/C][/ROW]
[ROW][C]0.56[/C][C]138.659566257464[/C][C]1.45720373993851[/C][/ROW]
[ROW][C]0.57[/C][C]138.932878446362[/C][C]1.47921152375104[/C][/ROW]
[ROW][C]0.58[/C][C]139.210494392467[/C][C]1.4998354056994[/C][/ROW]
[ROW][C]0.59[/C][C]139.492182134126[/C][C]1.51698796856783[/C][/ROW]
[ROW][C]0.6[/C][C]139.777357743503[/C][C]1.52919104141471[/C][/ROW]
[ROW][C]0.61[/C][C]140.065147450417[/C][C]1.53492702031446[/C][/ROW]
[ROW][C]0.62[/C][C]140.354454890593[/C][C]1.53360677036781[/C][/ROW]
[ROW][C]0.63[/C][C]140.644026527823[/C][C]1.52452586488256[/C][/ROW]
[ROW][C]0.64[/C][C]140.93251156333[/C][C]1.50758432287735[/C][/ROW]
[ROW][C]0.65[/C][C]141.218515769296[/C][C]1.48280595107875[/C][/ROW]
[ROW][C]0.66[/C][C]141.50065065711[/C][C]1.45048072617088[/C][/ROW]
[ROW][C]0.67[/C][C]141.777579776525[/C][C]1.41100229138954[/C][/ROW]
[ROW][C]0.68[/C][C]142.04806316526[/C][C]1.36477799171136[/C][/ROW]
[ROW][C]0.69[/C][C]142.31100019106[/C][C]1.31326489683122[/C][/ROW]
[ROW][C]0.7[/C][C]142.565471554422[/C][C]1.25710817993663[/C][/ROW]
[ROW][C]0.71[/C][C]142.810783645171[/C][C]1.19790052875133[/C][/ROW]
[ROW][C]0.72[/C][C]143.046521946991[/C][C]1.13712187179517[/C][/ROW]
[ROW][C]0.73[/C][C]143.272622406562[/C][C]1.07604691352154[/C][/ROW]
[ROW][C]0.74[/C][C]143.489467485288[/C][C]1.01706489337627[/C][/ROW]
[ROW][C]0.75[/C][C]143.698004559681[/C][C]0.962294652722881[/C][/ROW]
[ROW][C]0.76[/C][C]143.899868448964[/C][C]0.914827483678778[/C][/ROW]
[ROW][C]0.77[/C][C]144.097470787394[/C][C]0.878674886387764[/C][/ROW]
[ROW][C]0.78[/C][C]144.294003923409[/C][C]0.857638453260369[/C][/ROW]
[ROW][C]0.79[/C][C]144.493304948829[/C][C]0.855270963496006[/C][/ROW]
[ROW][C]0.8[/C][C]144.699543709614[/C][C]0.872948077379848[/C][/ROW]
[ROW][C]0.81[/C][C]144.916739143976[/C][C]0.90865207112068[/C][/ROW]
[ROW][C]0.82[/C][C]145.148164446491[/C][C]0.956999667573326[/C][/ROW]
[ROW][C]0.83[/C][C]145.395757729286[/C][C]1.00957680099167[/C][/ROW]
[ROW][C]0.84[/C][C]145.659689706608[/C][C]1.05674186777137[/C][/ROW]
[ROW][C]0.85[/C][C]145.938233988374[/C][C]1.08918487204364[/C][/ROW]
[ROW][C]0.86[/C][C]146.22803119717[/C][C]1.10039343070253[/C][/ROW]
[ROW][C]0.87[/C][C]146.524747373285[/C][C]1.08764312243027[/C][/ROW]
[ROW][C]0.88[/C][C]146.824030685742[/C][C]1.05269012901821[/C][/ROW]
[ROW][C]0.89[/C][C]147.122602183132[/C][C]1.00155059108676[/C][/ROW]
[ROW][C]0.9[/C][C]147.419286315483[/C][C]0.943293560649678[/C][/ROW]
[ROW][C]0.91[/C][C]147.715763446734[/C][C]0.888303517027885[/C][/ROW]
[ROW][C]0.92[/C][C]148.016765273008[/C][C]0.846771489633652[/C][/ROW]
[ROW][C]0.93[/C][C]148.32938563039[/C][C]0.825636851304457[/C][/ROW]
[ROW][C]0.94[/C][C]148.661411371829[/C][C]0.823238364273864[/C][/ROW]
[ROW][C]0.95[/C][C]149.019412761902[/C][C]0.8247280484234[/C][/ROW]
[ROW][C]0.96[/C][C]149.40817260457[/C][C]0.806853539039595[/C][/ROW]
[ROW][C]0.97[/C][C]149.830818867931[/C][C]0.76219642068314[/C][/ROW]
[ROW][C]0.98[/C][C]150.280222016823[/C][C]0.732592631460719[/C][/ROW]
[ROW][C]0.99[/C][C]150.707128143428[/C][C]0.784652493293591[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160917&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160917&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
0.01123.3449699256830.282860266715337
0.02123.5388541404550.409998264450471
0.03123.7921493659260.543423244783103
0.04124.0815467637360.659763585920268
0.05124.3929706137990.759486704522417
0.06124.7177300532150.845300421143627
0.07125.0494232211540.914868251195369
0.08125.3821763907430.962611953303983
0.09125.7100298768090.98380226087126
0.1126.0273359751110.979200326110047
0.11126.3297182886230.956300091032773
0.12126.6149406688750.926179989826063
0.13126.8831963299550.900239648413339
0.14127.1367110308140.885814650758254
0.15127.3788990673850.884897191240446
0.16127.6134510384610.89549372084752
0.17127.8436610874060.914045546792317
0.18128.0721200151070.937843145153358
0.19128.3007272513780.964904435782277
0.2128.53087951360.995160959740071
0.21128.7636864180751.02927922102973
0.22129.0001131550621.06746816110959
0.23129.2410174527521.10938715863596
0.24129.4871024270061.15432073777388
0.25129.7388351548731.20026825643384
0.26129.99638326631.24555913866662
0.27130.2596063232221.28793075933355
0.28130.528114971181.32679182229929
0.29130.801387184131.36144499337996
0.3131.0789131906871.39274115227044
0.31131.3603320530351.4222238868956
0.32131.6455242318981.45195201256874
0.33131.9346346772141.48345942789587
0.34132.2280172390861.51827404878815
0.35132.5261095633361.55622549397854
0.36132.8292638407691.59633546921853
0.37133.1375691530131.63615964973676
0.38133.4507035131451.6725632558488
0.39133.7678478129171.70182844855378
0.4134.0876814479661.72127008287878
0.41134.4084634432871.72831232975667
0.42134.7281869980931.72187151176416
0.43135.0447827055181.70260710386113
0.44135.3563384509361.67152485697051
0.45135.661302978371.63190354124457
0.46135.958644833611.58721558557426
0.47136.2479473049341.54124567727096
0.48136.529430969851.49789872231205
0.49136.8039063349291.46097124398967
0.5137.0726680283471.43251744744574
0.51137.3373479634881.41434016203253
0.52137.5997475127811.40666090397574
0.53137.8616683541151.40880601657149
0.54138.1247590160241.41959991615736
0.55138.3903900849171.43640654102671
0.56138.6595662574641.45720373993851
0.57138.9328784463621.47921152375104
0.58139.2104943924671.4998354056994
0.59139.4921821341261.51698796856783
0.6139.7773577435031.52919104141471
0.61140.0651474504171.53492702031446
0.62140.3544548905931.53360677036781
0.63140.6440265278231.52452586488256
0.64140.932511563331.50758432287735
0.65141.2185157692961.48280595107875
0.66141.500650657111.45048072617088
0.67141.7775797765251.41100229138954
0.68142.048063165261.36477799171136
0.69142.311000191061.31326489683122
0.7142.5654715544221.25710817993663
0.71142.8107836451711.19790052875133
0.72143.0465219469911.13712187179517
0.73143.2726224065621.07604691352154
0.74143.4894674852881.01706489337627
0.75143.6980045596810.962294652722881
0.76143.8998684489640.914827483678778
0.77144.0974707873940.878674886387764
0.78144.2940039234090.857638453260369
0.79144.4933049488290.855270963496006
0.8144.6995437096140.872948077379848
0.81144.9167391439760.90865207112068
0.82145.1481644464910.956999667573326
0.83145.3957577292861.00957680099167
0.84145.6596897066081.05674186777137
0.85145.9382339883741.08918487204364
0.86146.228031197171.10039343070253
0.87146.5247473732851.08764312243027
0.88146.8240306857421.05269012901821
0.89147.1226021831321.00155059108676
0.9147.4192863154830.943293560649678
0.91147.7157634467340.888303517027885
0.92148.0167652730080.846771489633652
0.93148.329385630390.825636851304457
0.94148.6614113718290.823238364273864
0.95149.0194127619020.8247280484234
0.96149.408172604570.806853539039595
0.97149.8308188679310.76219642068314
0.98150.2802220168230.732592631460719
0.99150.7071281434280.784652493293591


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')