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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 computationWed, 12 Oct 2011 13:17:20 -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/2011/Oct/12/t1318439929m7g1ros1wpb0gn8.htm/, Retrieved Fri, 10 May 2024 00:43:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128428, Retrieved Fri, 10 May 2024 00:43:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact100

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] [percentielen abon...] [2011-10-12 17:17:20] [3a5148fa0f21767f499340b81dfb0928] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101.16
101.16
101.16
101.16
101.16
101.16
101.16
101.16
101.16
101.21
101.21
101.21
103.16
103.16
103.16
103.16
101.13
101.13
100.53
100.53
100.53
100.53
100.53
100.53
100.53
100.53
100.53
99.42
99.42
99.42
99.42
100.31
100.31
102.25
102.25
102.25
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.94
101.94
101.94
101.94
101.94

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'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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128428&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128428&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128428&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0199.42519516909020.0206997722359082
0.0299.44303657844880.0738019520272232
0.0399.48228139444560.158979474097757
0.0499.54893697560770.25959910618522
0.0599.64331485377550.350735090514375
0.0699.75950155450080.410764983174705
0.0799.8872668663890.429594308195109
0.08100.0151948339310.409820872519999
0.09100.1335594662250.36255788690549
0.1100.2360078417240.3015859123625
0.11100.3198911360050.239010307552486
0.12100.3856317071350.183087246686835
0.13100.4356806663560.138343905243107
0.14100.4735049668250.106774109909766
0.15100.5028258939670.0893434385221613
0.16100.5271463206770.0861328523208943
0.17100.5495038251180.095391168562871
0.18100.5723618373830.113734474159846
0.19100.5975691111870.137723548938689
0.2100.6263492152730.164577527169703
0.21100.6593085867120.191496196592163
0.22100.6964672407370.215777474315869
0.23100.7373205524650.235202425317731
0.24100.7809367660720.247983628995598
0.25100.8260870659590.252932414075743
0.26100.8713969034510.249843179932167
0.27100.9155016384660.239236884748063
0.28100.9571879698630.222421865515389
0.29100.9955052411360.200997641040699
0.3101.0298364869960.177026596606459
0.31101.0599262882570.152571969789098
0.32101.0858692666540.129416873157158
0.33101.1080679250330.109273524332611
0.34101.127170794960.093483816808731
0.35101.1440015492230.08334690453272
0.36101.1594875412020.0796673341621798
0.37101.1745931352910.0827332476052689
0.38101.1902601830380.0919441847305847
0.39101.2073558233590.106278141645169
0.4101.2266268072080.124458277790141
0.41101.2486597368070.145377285660948
0.42101.2738476195530.167650855921353
0.43101.3023644378950.189955249276894
0.44101.3341504722780.210877501921803
0.45101.3689114396990.229023328604439
0.46101.4061338933140.243116365760098
0.47101.4451177957190.252174547544991
0.48101.4850250026420.255454303956027
0.49101.5249400242820.252708941274058
0.5101.563937385940.244124419016233
0.51101.6011486498250.230245509525203
0.52101.6358219832090.211955274191882
0.53101.6673681283240.190472446685214
0.54101.6953885666050.167069734087974
0.55101.7196841983250.143000223520578
0.56101.7402454996860.119419904928692
0.57101.7572274034160.0972986326926235
0.58101.7709137165020.0773269436931583
0.59101.7816765568860.0599582850541904
0.6101.7899360708270.0453306306750145
0.61101.7961247598850.0334111398058089
0.62101.8006593782560.0240831328588288
0.63101.8039218595560.0169558329390953
0.64101.806249355630.011758729838032
0.65101.8079323883550.00819472396476503
0.66101.8092193954690.00604865366908099
0.67101.8103255722940.0051616020901186
0.68101.8114438002050.00553621938270922
0.69101.8127555303920.00703273412779853
0.7101.8144397113080.0094626741160153
0.71101.816678218550.0127871768255161
0.72101.8196568250450.0170293483212779
0.73101.823561608590.022158247236786
0.74101.8285718545730.0280126052235357
0.75101.8348518719250.0345541511725179
0.76101.8425454230940.0414361524153066
0.77101.8517772333570.0485058916987789
0.78101.8626658002350.055556115708077
0.79101.8753501552670.0626143766197086
0.8101.890030484770.0699062078570262
0.81101.9070194016680.0779809870441399
0.82101.9267985287030.0876441055543666
0.83101.9500751305620.0999064484583805
0.84101.9778356653120.115697337275093
0.85102.0113944015910.13584223988058
0.86102.0524296653150.161106618984751
0.87102.1029811720710.192385091375167
0.88102.1653483077820.230662546557825
0.89102.241794842870.276016439640392
0.9102.3339643020370.326550584532501
0.91102.4419878597780.376420635204901
0.92102.563449956030.415339321132905
0.93102.6926253605380.430222106748413
0.94102.8205738435670.409640850154572
0.95102.9365672593930.349797850428236
0.96103.0307932101410.259493687161315
0.97103.0974612223610.159395068371139
0.98103.1368164791760.0742508675414021
0.99103.1547599680390.0208935811455627

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.4251951690902 & 0.0206997722359082 \tabularnewline
0.02 & 99.4430365784488 & 0.0738019520272232 \tabularnewline
0.03 & 99.4822813944456 & 0.158979474097757 \tabularnewline
0.04 & 99.5489369756077 & 0.25959910618522 \tabularnewline
0.05 & 99.6433148537755 & 0.350735090514375 \tabularnewline
0.06 & 99.7595015545008 & 0.410764983174705 \tabularnewline
0.07 & 99.887266866389 & 0.429594308195109 \tabularnewline
0.08 & 100.015194833931 & 0.409820872519999 \tabularnewline
0.09 & 100.133559466225 & 0.36255788690549 \tabularnewline
0.1 & 100.236007841724 & 0.3015859123625 \tabularnewline
0.11 & 100.319891136005 & 0.239010307552486 \tabularnewline
0.12 & 100.385631707135 & 0.183087246686835 \tabularnewline
0.13 & 100.435680666356 & 0.138343905243107 \tabularnewline
0.14 & 100.473504966825 & 0.106774109909766 \tabularnewline
0.15 & 100.502825893967 & 0.0893434385221613 \tabularnewline
0.16 & 100.527146320677 & 0.0861328523208943 \tabularnewline
0.17 & 100.549503825118 & 0.095391168562871 \tabularnewline
0.18 & 100.572361837383 & 0.113734474159846 \tabularnewline
0.19 & 100.597569111187 & 0.137723548938689 \tabularnewline
0.2 & 100.626349215273 & 0.164577527169703 \tabularnewline
0.21 & 100.659308586712 & 0.191496196592163 \tabularnewline
0.22 & 100.696467240737 & 0.215777474315869 \tabularnewline
0.23 & 100.737320552465 & 0.235202425317731 \tabularnewline
0.24 & 100.780936766072 & 0.247983628995598 \tabularnewline
0.25 & 100.826087065959 & 0.252932414075743 \tabularnewline
0.26 & 100.871396903451 & 0.249843179932167 \tabularnewline
0.27 & 100.915501638466 & 0.239236884748063 \tabularnewline
0.28 & 100.957187969863 & 0.222421865515389 \tabularnewline
0.29 & 100.995505241136 & 0.200997641040699 \tabularnewline
0.3 & 101.029836486996 & 0.177026596606459 \tabularnewline
0.31 & 101.059926288257 & 0.152571969789098 \tabularnewline
0.32 & 101.085869266654 & 0.129416873157158 \tabularnewline
0.33 & 101.108067925033 & 0.109273524332611 \tabularnewline
0.34 & 101.12717079496 & 0.093483816808731 \tabularnewline
0.35 & 101.144001549223 & 0.08334690453272 \tabularnewline
0.36 & 101.159487541202 & 0.0796673341621798 \tabularnewline
0.37 & 101.174593135291 & 0.0827332476052689 \tabularnewline
0.38 & 101.190260183038 & 0.0919441847305847 \tabularnewline
0.39 & 101.207355823359 & 0.106278141645169 \tabularnewline
0.4 & 101.226626807208 & 0.124458277790141 \tabularnewline
0.41 & 101.248659736807 & 0.145377285660948 \tabularnewline
0.42 & 101.273847619553 & 0.167650855921353 \tabularnewline
0.43 & 101.302364437895 & 0.189955249276894 \tabularnewline
0.44 & 101.334150472278 & 0.210877501921803 \tabularnewline
0.45 & 101.368911439699 & 0.229023328604439 \tabularnewline
0.46 & 101.406133893314 & 0.243116365760098 \tabularnewline
0.47 & 101.445117795719 & 0.252174547544991 \tabularnewline
0.48 & 101.485025002642 & 0.255454303956027 \tabularnewline
0.49 & 101.524940024282 & 0.252708941274058 \tabularnewline
0.5 & 101.56393738594 & 0.244124419016233 \tabularnewline
0.51 & 101.601148649825 & 0.230245509525203 \tabularnewline
0.52 & 101.635821983209 & 0.211955274191882 \tabularnewline
0.53 & 101.667368128324 & 0.190472446685214 \tabularnewline
0.54 & 101.695388566605 & 0.167069734087974 \tabularnewline
0.55 & 101.719684198325 & 0.143000223520578 \tabularnewline
0.56 & 101.740245499686 & 0.119419904928692 \tabularnewline
0.57 & 101.757227403416 & 0.0972986326926235 \tabularnewline
0.58 & 101.770913716502 & 0.0773269436931583 \tabularnewline
0.59 & 101.781676556886 & 0.0599582850541904 \tabularnewline
0.6 & 101.789936070827 & 0.0453306306750145 \tabularnewline
0.61 & 101.796124759885 & 0.0334111398058089 \tabularnewline
0.62 & 101.800659378256 & 0.0240831328588288 \tabularnewline
0.63 & 101.803921859556 & 0.0169558329390953 \tabularnewline
0.64 & 101.80624935563 & 0.011758729838032 \tabularnewline
0.65 & 101.807932388355 & 0.00819472396476503 \tabularnewline
0.66 & 101.809219395469 & 0.00604865366908099 \tabularnewline
0.67 & 101.810325572294 & 0.0051616020901186 \tabularnewline
0.68 & 101.811443800205 & 0.00553621938270922 \tabularnewline
0.69 & 101.812755530392 & 0.00703273412779853 \tabularnewline
0.7 & 101.814439711308 & 0.0094626741160153 \tabularnewline
0.71 & 101.81667821855 & 0.0127871768255161 \tabularnewline
0.72 & 101.819656825045 & 0.0170293483212779 \tabularnewline
0.73 & 101.82356160859 & 0.022158247236786 \tabularnewline
0.74 & 101.828571854573 & 0.0280126052235357 \tabularnewline
0.75 & 101.834851871925 & 0.0345541511725179 \tabularnewline
0.76 & 101.842545423094 & 0.0414361524153066 \tabularnewline
0.77 & 101.851777233357 & 0.0485058916987789 \tabularnewline
0.78 & 101.862665800235 & 0.055556115708077 \tabularnewline
0.79 & 101.875350155267 & 0.0626143766197086 \tabularnewline
0.8 & 101.89003048477 & 0.0699062078570262 \tabularnewline
0.81 & 101.907019401668 & 0.0779809870441399 \tabularnewline
0.82 & 101.926798528703 & 0.0876441055543666 \tabularnewline
0.83 & 101.950075130562 & 0.0999064484583805 \tabularnewline
0.84 & 101.977835665312 & 0.115697337275093 \tabularnewline
0.85 & 102.011394401591 & 0.13584223988058 \tabularnewline
0.86 & 102.052429665315 & 0.161106618984751 \tabularnewline
0.87 & 102.102981172071 & 0.192385091375167 \tabularnewline
0.88 & 102.165348307782 & 0.230662546557825 \tabularnewline
0.89 & 102.24179484287 & 0.276016439640392 \tabularnewline
0.9 & 102.333964302037 & 0.326550584532501 \tabularnewline
0.91 & 102.441987859778 & 0.376420635204901 \tabularnewline
0.92 & 102.56344995603 & 0.415339321132905 \tabularnewline
0.93 & 102.692625360538 & 0.430222106748413 \tabularnewline
0.94 & 102.820573843567 & 0.409640850154572 \tabularnewline
0.95 & 102.936567259393 & 0.349797850428236 \tabularnewline
0.96 & 103.030793210141 & 0.259493687161315 \tabularnewline
0.97 & 103.097461222361 & 0.159395068371139 \tabularnewline
0.98 & 103.136816479176 & 0.0742508675414021 \tabularnewline
0.99 & 103.154759968039 & 0.0208935811455627 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128428&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]99.4251951690902[/C][C]0.0206997722359082[/C][/ROW]
[ROW][C]0.02[/C][C]99.4430365784488[/C][C]0.0738019520272232[/C][/ROW]
[ROW][C]0.03[/C][C]99.4822813944456[/C][C]0.158979474097757[/C][/ROW]
[ROW][C]0.04[/C][C]99.5489369756077[/C][C]0.25959910618522[/C][/ROW]
[ROW][C]0.05[/C][C]99.6433148537755[/C][C]0.350735090514375[/C][/ROW]
[ROW][C]0.06[/C][C]99.7595015545008[/C][C]0.410764983174705[/C][/ROW]
[ROW][C]0.07[/C][C]99.887266866389[/C][C]0.429594308195109[/C][/ROW]
[ROW][C]0.08[/C][C]100.015194833931[/C][C]0.409820872519999[/C][/ROW]
[ROW][C]0.09[/C][C]100.133559466225[/C][C]0.36255788690549[/C][/ROW]
[ROW][C]0.1[/C][C]100.236007841724[/C][C]0.3015859123625[/C][/ROW]
[ROW][C]0.11[/C][C]100.319891136005[/C][C]0.239010307552486[/C][/ROW]
[ROW][C]0.12[/C][C]100.385631707135[/C][C]0.183087246686835[/C][/ROW]
[ROW][C]0.13[/C][C]100.435680666356[/C][C]0.138343905243107[/C][/ROW]
[ROW][C]0.14[/C][C]100.473504966825[/C][C]0.106774109909766[/C][/ROW]
[ROW][C]0.15[/C][C]100.502825893967[/C][C]0.0893434385221613[/C][/ROW]
[ROW][C]0.16[/C][C]100.527146320677[/C][C]0.0861328523208943[/C][/ROW]
[ROW][C]0.17[/C][C]100.549503825118[/C][C]0.095391168562871[/C][/ROW]
[ROW][C]0.18[/C][C]100.572361837383[/C][C]0.113734474159846[/C][/ROW]
[ROW][C]0.19[/C][C]100.597569111187[/C][C]0.137723548938689[/C][/ROW]
[ROW][C]0.2[/C][C]100.626349215273[/C][C]0.164577527169703[/C][/ROW]
[ROW][C]0.21[/C][C]100.659308586712[/C][C]0.191496196592163[/C][/ROW]
[ROW][C]0.22[/C][C]100.696467240737[/C][C]0.215777474315869[/C][/ROW]
[ROW][C]0.23[/C][C]100.737320552465[/C][C]0.235202425317731[/C][/ROW]
[ROW][C]0.24[/C][C]100.780936766072[/C][C]0.247983628995598[/C][/ROW]
[ROW][C]0.25[/C][C]100.826087065959[/C][C]0.252932414075743[/C][/ROW]
[ROW][C]0.26[/C][C]100.871396903451[/C][C]0.249843179932167[/C][/ROW]
[ROW][C]0.27[/C][C]100.915501638466[/C][C]0.239236884748063[/C][/ROW]
[ROW][C]0.28[/C][C]100.957187969863[/C][C]0.222421865515389[/C][/ROW]
[ROW][C]0.29[/C][C]100.995505241136[/C][C]0.200997641040699[/C][/ROW]
[ROW][C]0.3[/C][C]101.029836486996[/C][C]0.177026596606459[/C][/ROW]
[ROW][C]0.31[/C][C]101.059926288257[/C][C]0.152571969789098[/C][/ROW]
[ROW][C]0.32[/C][C]101.085869266654[/C][C]0.129416873157158[/C][/ROW]
[ROW][C]0.33[/C][C]101.108067925033[/C][C]0.109273524332611[/C][/ROW]
[ROW][C]0.34[/C][C]101.12717079496[/C][C]0.093483816808731[/C][/ROW]
[ROW][C]0.35[/C][C]101.144001549223[/C][C]0.08334690453272[/C][/ROW]
[ROW][C]0.36[/C][C]101.159487541202[/C][C]0.0796673341621798[/C][/ROW]
[ROW][C]0.37[/C][C]101.174593135291[/C][C]0.0827332476052689[/C][/ROW]
[ROW][C]0.38[/C][C]101.190260183038[/C][C]0.0919441847305847[/C][/ROW]
[ROW][C]0.39[/C][C]101.207355823359[/C][C]0.106278141645169[/C][/ROW]
[ROW][C]0.4[/C][C]101.226626807208[/C][C]0.124458277790141[/C][/ROW]
[ROW][C]0.41[/C][C]101.248659736807[/C][C]0.145377285660948[/C][/ROW]
[ROW][C]0.42[/C][C]101.273847619553[/C][C]0.167650855921353[/C][/ROW]
[ROW][C]0.43[/C][C]101.302364437895[/C][C]0.189955249276894[/C][/ROW]
[ROW][C]0.44[/C][C]101.334150472278[/C][C]0.210877501921803[/C][/ROW]
[ROW][C]0.45[/C][C]101.368911439699[/C][C]0.229023328604439[/C][/ROW]
[ROW][C]0.46[/C][C]101.406133893314[/C][C]0.243116365760098[/C][/ROW]
[ROW][C]0.47[/C][C]101.445117795719[/C][C]0.252174547544991[/C][/ROW]
[ROW][C]0.48[/C][C]101.485025002642[/C][C]0.255454303956027[/C][/ROW]
[ROW][C]0.49[/C][C]101.524940024282[/C][C]0.252708941274058[/C][/ROW]
[ROW][C]0.5[/C][C]101.56393738594[/C][C]0.244124419016233[/C][/ROW]
[ROW][C]0.51[/C][C]101.601148649825[/C][C]0.230245509525203[/C][/ROW]
[ROW][C]0.52[/C][C]101.635821983209[/C][C]0.211955274191882[/C][/ROW]
[ROW][C]0.53[/C][C]101.667368128324[/C][C]0.190472446685214[/C][/ROW]
[ROW][C]0.54[/C][C]101.695388566605[/C][C]0.167069734087974[/C][/ROW]
[ROW][C]0.55[/C][C]101.719684198325[/C][C]0.143000223520578[/C][/ROW]
[ROW][C]0.56[/C][C]101.740245499686[/C][C]0.119419904928692[/C][/ROW]
[ROW][C]0.57[/C][C]101.757227403416[/C][C]0.0972986326926235[/C][/ROW]
[ROW][C]0.58[/C][C]101.770913716502[/C][C]0.0773269436931583[/C][/ROW]
[ROW][C]0.59[/C][C]101.781676556886[/C][C]0.0599582850541904[/C][/ROW]
[ROW][C]0.6[/C][C]101.789936070827[/C][C]0.0453306306750145[/C][/ROW]
[ROW][C]0.61[/C][C]101.796124759885[/C][C]0.0334111398058089[/C][/ROW]
[ROW][C]0.62[/C][C]101.800659378256[/C][C]0.0240831328588288[/C][/ROW]
[ROW][C]0.63[/C][C]101.803921859556[/C][C]0.0169558329390953[/C][/ROW]
[ROW][C]0.64[/C][C]101.80624935563[/C][C]0.011758729838032[/C][/ROW]
[ROW][C]0.65[/C][C]101.807932388355[/C][C]0.00819472396476503[/C][/ROW]
[ROW][C]0.66[/C][C]101.809219395469[/C][C]0.00604865366908099[/C][/ROW]
[ROW][C]0.67[/C][C]101.810325572294[/C][C]0.0051616020901186[/C][/ROW]
[ROW][C]0.68[/C][C]101.811443800205[/C][C]0.00553621938270922[/C][/ROW]
[ROW][C]0.69[/C][C]101.812755530392[/C][C]0.00703273412779853[/C][/ROW]
[ROW][C]0.7[/C][C]101.814439711308[/C][C]0.0094626741160153[/C][/ROW]
[ROW][C]0.71[/C][C]101.81667821855[/C][C]0.0127871768255161[/C][/ROW]
[ROW][C]0.72[/C][C]101.819656825045[/C][C]0.0170293483212779[/C][/ROW]
[ROW][C]0.73[/C][C]101.82356160859[/C][C]0.022158247236786[/C][/ROW]
[ROW][C]0.74[/C][C]101.828571854573[/C][C]0.0280126052235357[/C][/ROW]
[ROW][C]0.75[/C][C]101.834851871925[/C][C]0.0345541511725179[/C][/ROW]
[ROW][C]0.76[/C][C]101.842545423094[/C][C]0.0414361524153066[/C][/ROW]
[ROW][C]0.77[/C][C]101.851777233357[/C][C]0.0485058916987789[/C][/ROW]
[ROW][C]0.78[/C][C]101.862665800235[/C][C]0.055556115708077[/C][/ROW]
[ROW][C]0.79[/C][C]101.875350155267[/C][C]0.0626143766197086[/C][/ROW]
[ROW][C]0.8[/C][C]101.89003048477[/C][C]0.0699062078570262[/C][/ROW]
[ROW][C]0.81[/C][C]101.907019401668[/C][C]0.0779809870441399[/C][/ROW]
[ROW][C]0.82[/C][C]101.926798528703[/C][C]0.0876441055543666[/C][/ROW]
[ROW][C]0.83[/C][C]101.950075130562[/C][C]0.0999064484583805[/C][/ROW]
[ROW][C]0.84[/C][C]101.977835665312[/C][C]0.115697337275093[/C][/ROW]
[ROW][C]0.85[/C][C]102.011394401591[/C][C]0.13584223988058[/C][/ROW]
[ROW][C]0.86[/C][C]102.052429665315[/C][C]0.161106618984751[/C][/ROW]
[ROW][C]0.87[/C][C]102.102981172071[/C][C]0.192385091375167[/C][/ROW]
[ROW][C]0.88[/C][C]102.165348307782[/C][C]0.230662546557825[/C][/ROW]
[ROW][C]0.89[/C][C]102.24179484287[/C][C]0.276016439640392[/C][/ROW]
[ROW][C]0.9[/C][C]102.333964302037[/C][C]0.326550584532501[/C][/ROW]
[ROW][C]0.91[/C][C]102.441987859778[/C][C]0.376420635204901[/C][/ROW]
[ROW][C]0.92[/C][C]102.56344995603[/C][C]0.415339321132905[/C][/ROW]
[ROW][C]0.93[/C][C]102.692625360538[/C][C]0.430222106748413[/C][/ROW]
[ROW][C]0.94[/C][C]102.820573843567[/C][C]0.409640850154572[/C][/ROW]
[ROW][C]0.95[/C][C]102.936567259393[/C][C]0.349797850428236[/C][/ROW]
[ROW][C]0.96[/C][C]103.030793210141[/C][C]0.259493687161315[/C][/ROW]
[ROW][C]0.97[/C][C]103.097461222361[/C][C]0.159395068371139[/C][/ROW]
[ROW][C]0.98[/C][C]103.136816479176[/C][C]0.0742508675414021[/C][/ROW]
[ROW][C]0.99[/C][C]103.154759968039[/C][C]0.0208935811455627[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128428&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128428&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
0.0199.42519516909020.0206997722359082
0.0299.44303657844880.0738019520272232
0.0399.48228139444560.158979474097757
0.0499.54893697560770.25959910618522
0.0599.64331485377550.350735090514375
0.0699.75950155450080.410764983174705
0.0799.8872668663890.429594308195109
0.08100.0151948339310.409820872519999
0.09100.1335594662250.36255788690549
0.1100.2360078417240.3015859123625
0.11100.3198911360050.239010307552486
0.12100.3856317071350.183087246686835
0.13100.4356806663560.138343905243107
0.14100.4735049668250.106774109909766
0.15100.5028258939670.0893434385221613
0.16100.5271463206770.0861328523208943
0.17100.5495038251180.095391168562871
0.18100.5723618373830.113734474159846
0.19100.5975691111870.137723548938689
0.2100.6263492152730.164577527169703
0.21100.6593085867120.191496196592163
0.22100.6964672407370.215777474315869
0.23100.7373205524650.235202425317731
0.24100.7809367660720.247983628995598
0.25100.8260870659590.252932414075743
0.26100.8713969034510.249843179932167
0.27100.9155016384660.239236884748063
0.28100.9571879698630.222421865515389
0.29100.9955052411360.200997641040699
0.3101.0298364869960.177026596606459
0.31101.0599262882570.152571969789098
0.32101.0858692666540.129416873157158
0.33101.1080679250330.109273524332611
0.34101.127170794960.093483816808731
0.35101.1440015492230.08334690453272
0.36101.1594875412020.0796673341621798
0.37101.1745931352910.0827332476052689
0.38101.1902601830380.0919441847305847
0.39101.2073558233590.106278141645169
0.4101.2266268072080.124458277790141
0.41101.2486597368070.145377285660948
0.42101.2738476195530.167650855921353
0.43101.3023644378950.189955249276894
0.44101.3341504722780.210877501921803
0.45101.3689114396990.229023328604439
0.46101.4061338933140.243116365760098
0.47101.4451177957190.252174547544991
0.48101.4850250026420.255454303956027
0.49101.5249400242820.252708941274058
0.5101.563937385940.244124419016233
0.51101.6011486498250.230245509525203
0.52101.6358219832090.211955274191882
0.53101.6673681283240.190472446685214
0.54101.6953885666050.167069734087974
0.55101.7196841983250.143000223520578
0.56101.7402454996860.119419904928692
0.57101.7572274034160.0972986326926235
0.58101.7709137165020.0773269436931583
0.59101.7816765568860.0599582850541904
0.6101.7899360708270.0453306306750145
0.61101.7961247598850.0334111398058089
0.62101.8006593782560.0240831328588288
0.63101.8039218595560.0169558329390953
0.64101.806249355630.011758729838032
0.65101.8079323883550.00819472396476503
0.66101.8092193954690.00604865366908099
0.67101.8103255722940.0051616020901186
0.68101.8114438002050.00553621938270922
0.69101.8127555303920.00703273412779853
0.7101.8144397113080.0094626741160153
0.71101.816678218550.0127871768255161
0.72101.8196568250450.0170293483212779
0.73101.823561608590.022158247236786
0.74101.8285718545730.0280126052235357
0.75101.8348518719250.0345541511725179
0.76101.8425454230940.0414361524153066
0.77101.8517772333570.0485058916987789
0.78101.8626658002350.055556115708077
0.79101.8753501552670.0626143766197086
0.8101.890030484770.0699062078570262
0.81101.9070194016680.0779809870441399
0.82101.9267985287030.0876441055543666
0.83101.9500751305620.0999064484583805
0.84101.9778356653120.115697337275093
0.85102.0113944015910.13584223988058
0.86102.0524296653150.161106618984751
0.87102.1029811720710.192385091375167
0.88102.1653483077820.230662546557825
0.89102.241794842870.276016439640392
0.9102.3339643020370.326550584532501
0.91102.4419878597780.376420635204901
0.92102.563449956030.415339321132905
0.93102.6926253605380.430222106748413
0.94102.8205738435670.409640850154572
0.95102.9365672593930.349797850428236
0.96103.0307932101410.259493687161315
0.97103.0974612223610.159395068371139
0.98103.1368164791760.0742508675414021
0.99103.1547599680390.0208935811455627


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')