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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 computationThu, 25 Feb 2016 10:32:03 +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/25/t1456396413vk8dhklk7s6xhch.htm/, Retrieved Sun, 19 May 2024 12:55:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292677, Retrieved Sun, 19 May 2024 12:55:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91

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] [] [2016-02-25 10:32:03] [e5ae4b5dd737e4828f1ae85ef60fb5e4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
85
87
88
88
89
90
90
90
90
90
91
91
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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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292677&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292677&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292677&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0185.58756692948241.68465829008214
0.0286.41158739206911.32956924939632
0.0387.18239720222461.0810100894151
0.0487.80593265537230.974228713124437
0.0588.30526112872430.94636907213415
0.0688.72182855592090.919223488264072
0.0789.07919047518050.854985936248143
0.0889.38569312247070.759261443765569
0.0989.6456553276380.660458303709813
0.189.86606710509250.588180125723979
0.1190.05744142900140.558210650323612
0.1290.23151855173760.567434566020262
0.1390.39859922662780.601572119868661
0.1490.56599211858710.646169513334073
0.1590.7378010538850.692237053287791
0.1690.91558565331590.735455355148424
0.1791.09929712584240.774394842779037
0.1891.2880800976820.808728624711124
0.1991.48079571559430.838210151700082
0.291.67631154065810.862569906037594
0.2191.87367556816630.88228309817853
0.2292.07227015565330.898977189962953
0.2392.27197819179890.915728137872232
0.2492.47333460300380.93691584706884
0.2592.67760697919830.967272780721986
0.2692.88675404283511.01103578982771
0.2793.1032398275141.07071810561181
0.2893.32971925611181.14604695067943
0.2993.56864336817371.23420066084413
0.393.82185111348631.33007309498522
0.3194.09021683598281.42676733531808
0.3294.37341059558651.51697751608535
0.3394.66980734016631.59353142529383
0.3494.97655631391611.6499964501008
0.3595.28979873805281.68172359370505
0.3695.60500285535811.68619041357182
0.3795.91737241465971.66296755230416
0.3896.22227799301051.61413286277231
0.3996.51566007358261.54371634687486
0.496.79435816345981.45744098573066
0.4197.05633087026591.36212469177339
0.4297.30074671755261.26479301389464
0.4397.52794282990661.17223663927021
0.4497.73926604178221.09002466552459
0.4597.93682572934191.02220514109757
0.4698.1231972589950.970820720638344
0.4798.30111784668140.935887204475967
0.4898.47321266271860.915528762623782
0.4998.64177947578330.90680193341526
0.598.80864737515170.906172712449733
0.5198.97511195076940.910218761898463
0.5299.14193825813950.91584769519717
0.5399.30941558069030.920690406101321
0.5499.47744490945560.922959285069242
0.5599.64564062369870.921678612831978
0.5699.81343085695380.916139131890095
0.5799.98014512096280.906226812472053
0.58100.1450819191510.892095303300783
0.59100.3075528757610.874087369416506
0.6100.4669034345230.852543621917876
0.61100.6225137679010.827979605547045
0.62100.7737873078070.800439786534676
0.63100.9201378219690.770133081196415
0.64101.0609881193480.736887180748389
0.65101.1957927951830.700809208083731
0.66101.3240926810830.66206325149158
0.67101.4455996057680.621354338783603
0.68101.5602980462630.580019228889422
0.69101.6685383031830.540210435826438
0.7101.7710881351310.504558920138419
0.71101.8691104085920.475776151692531
0.72101.9640456800670.456212385045853
0.73102.0574001068030.446453137228497
0.74102.1504663843230.445116159345815
0.75102.2440311118310.44847156871505
0.76102.3381374043540.451510077005502
0.77102.4319695624880.449071639632795
0.78102.5239045096980.436933784481674
0.79102.6117362363430.412563131963891
0.8102.6930346341310.375802435614833
0.81102.7655625125410.32863324398301
0.82102.8276570798850.274854602020582
0.83102.8784919718980.219016343876992
0.84102.9181717239070.165798348111828
0.85102.9476631002360.118864205040636
0.86102.9686234890330.0806115244142936
0.87102.9832329357050.0520549624363405
0.88102.9941625896530.0335495082517321
0.89103.0048028245010.0274920260349505
0.9103.0197950409410.0394266897869204
0.91103.0457053511490.0723001416149301
0.92103.0913087423460.129936567847026
0.93103.1665283583270.214074677456163
0.94103.2790217503280.3149675252377
0.95103.4284358587120.404056974186024
0.96103.600828856240.437654411670202
0.97103.7684278871030.380309338621513
0.98103.8992870204230.240967491094827
0.99103.9744281296320.087212298594881

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 85.5875669294824 & 1.68465829008214 \tabularnewline
0.02 & 86.4115873920691 & 1.32956924939632 \tabularnewline
0.03 & 87.1823972022246 & 1.0810100894151 \tabularnewline
0.04 & 87.8059326553723 & 0.974228713124437 \tabularnewline
0.05 & 88.3052611287243 & 0.94636907213415 \tabularnewline
0.06 & 88.7218285559209 & 0.919223488264072 \tabularnewline
0.07 & 89.0791904751805 & 0.854985936248143 \tabularnewline
0.08 & 89.3856931224707 & 0.759261443765569 \tabularnewline
0.09 & 89.645655327638 & 0.660458303709813 \tabularnewline
0.1 & 89.8660671050925 & 0.588180125723979 \tabularnewline
0.11 & 90.0574414290014 & 0.558210650323612 \tabularnewline
0.12 & 90.2315185517376 & 0.567434566020262 \tabularnewline
0.13 & 90.3985992266278 & 0.601572119868661 \tabularnewline
0.14 & 90.5659921185871 & 0.646169513334073 \tabularnewline
0.15 & 90.737801053885 & 0.692237053287791 \tabularnewline
0.16 & 90.9155856533159 & 0.735455355148424 \tabularnewline
0.17 & 91.0992971258424 & 0.774394842779037 \tabularnewline
0.18 & 91.288080097682 & 0.808728624711124 \tabularnewline
0.19 & 91.4807957155943 & 0.838210151700082 \tabularnewline
0.2 & 91.6763115406581 & 0.862569906037594 \tabularnewline
0.21 & 91.8736755681663 & 0.88228309817853 \tabularnewline
0.22 & 92.0722701556533 & 0.898977189962953 \tabularnewline
0.23 & 92.2719781917989 & 0.915728137872232 \tabularnewline
0.24 & 92.4733346030038 & 0.93691584706884 \tabularnewline
0.25 & 92.6776069791983 & 0.967272780721986 \tabularnewline
0.26 & 92.8867540428351 & 1.01103578982771 \tabularnewline
0.27 & 93.103239827514 & 1.07071810561181 \tabularnewline
0.28 & 93.3297192561118 & 1.14604695067943 \tabularnewline
0.29 & 93.5686433681737 & 1.23420066084413 \tabularnewline
0.3 & 93.8218511134863 & 1.33007309498522 \tabularnewline
0.31 & 94.0902168359828 & 1.42676733531808 \tabularnewline
0.32 & 94.3734105955865 & 1.51697751608535 \tabularnewline
0.33 & 94.6698073401663 & 1.59353142529383 \tabularnewline
0.34 & 94.9765563139161 & 1.6499964501008 \tabularnewline
0.35 & 95.2897987380528 & 1.68172359370505 \tabularnewline
0.36 & 95.6050028553581 & 1.68619041357182 \tabularnewline
0.37 & 95.9173724146597 & 1.66296755230416 \tabularnewline
0.38 & 96.2222779930105 & 1.61413286277231 \tabularnewline
0.39 & 96.5156600735826 & 1.54371634687486 \tabularnewline
0.4 & 96.7943581634598 & 1.45744098573066 \tabularnewline
0.41 & 97.0563308702659 & 1.36212469177339 \tabularnewline
0.42 & 97.3007467175526 & 1.26479301389464 \tabularnewline
0.43 & 97.5279428299066 & 1.17223663927021 \tabularnewline
0.44 & 97.7392660417822 & 1.09002466552459 \tabularnewline
0.45 & 97.9368257293419 & 1.02220514109757 \tabularnewline
0.46 & 98.123197258995 & 0.970820720638344 \tabularnewline
0.47 & 98.3011178466814 & 0.935887204475967 \tabularnewline
0.48 & 98.4732126627186 & 0.915528762623782 \tabularnewline
0.49 & 98.6417794757833 & 0.90680193341526 \tabularnewline
0.5 & 98.8086473751517 & 0.906172712449733 \tabularnewline
0.51 & 98.9751119507694 & 0.910218761898463 \tabularnewline
0.52 & 99.1419382581395 & 0.91584769519717 \tabularnewline
0.53 & 99.3094155806903 & 0.920690406101321 \tabularnewline
0.54 & 99.4774449094556 & 0.922959285069242 \tabularnewline
0.55 & 99.6456406236987 & 0.921678612831978 \tabularnewline
0.56 & 99.8134308569538 & 0.916139131890095 \tabularnewline
0.57 & 99.9801451209628 & 0.906226812472053 \tabularnewline
0.58 & 100.145081919151 & 0.892095303300783 \tabularnewline
0.59 & 100.307552875761 & 0.874087369416506 \tabularnewline
0.6 & 100.466903434523 & 0.852543621917876 \tabularnewline
0.61 & 100.622513767901 & 0.827979605547045 \tabularnewline
0.62 & 100.773787307807 & 0.800439786534676 \tabularnewline
0.63 & 100.920137821969 & 0.770133081196415 \tabularnewline
0.64 & 101.060988119348 & 0.736887180748389 \tabularnewline
0.65 & 101.195792795183 & 0.700809208083731 \tabularnewline
0.66 & 101.324092681083 & 0.66206325149158 \tabularnewline
0.67 & 101.445599605768 & 0.621354338783603 \tabularnewline
0.68 & 101.560298046263 & 0.580019228889422 \tabularnewline
0.69 & 101.668538303183 & 0.540210435826438 \tabularnewline
0.7 & 101.771088135131 & 0.504558920138419 \tabularnewline
0.71 & 101.869110408592 & 0.475776151692531 \tabularnewline
0.72 & 101.964045680067 & 0.456212385045853 \tabularnewline
0.73 & 102.057400106803 & 0.446453137228497 \tabularnewline
0.74 & 102.150466384323 & 0.445116159345815 \tabularnewline
0.75 & 102.244031111831 & 0.44847156871505 \tabularnewline
0.76 & 102.338137404354 & 0.451510077005502 \tabularnewline
0.77 & 102.431969562488 & 0.449071639632795 \tabularnewline
0.78 & 102.523904509698 & 0.436933784481674 \tabularnewline
0.79 & 102.611736236343 & 0.412563131963891 \tabularnewline
0.8 & 102.693034634131 & 0.375802435614833 \tabularnewline
0.81 & 102.765562512541 & 0.32863324398301 \tabularnewline
0.82 & 102.827657079885 & 0.274854602020582 \tabularnewline
0.83 & 102.878491971898 & 0.219016343876992 \tabularnewline
0.84 & 102.918171723907 & 0.165798348111828 \tabularnewline
0.85 & 102.947663100236 & 0.118864205040636 \tabularnewline
0.86 & 102.968623489033 & 0.0806115244142936 \tabularnewline
0.87 & 102.983232935705 & 0.0520549624363405 \tabularnewline
0.88 & 102.994162589653 & 0.0335495082517321 \tabularnewline
0.89 & 103.004802824501 & 0.0274920260349505 \tabularnewline
0.9 & 103.019795040941 & 0.0394266897869204 \tabularnewline
0.91 & 103.045705351149 & 0.0723001416149301 \tabularnewline
0.92 & 103.091308742346 & 0.129936567847026 \tabularnewline
0.93 & 103.166528358327 & 0.214074677456163 \tabularnewline
0.94 & 103.279021750328 & 0.3149675252377 \tabularnewline
0.95 & 103.428435858712 & 0.404056974186024 \tabularnewline
0.96 & 103.60082885624 & 0.437654411670202 \tabularnewline
0.97 & 103.768427887103 & 0.380309338621513 \tabularnewline
0.98 & 103.899287020423 & 0.240967491094827 \tabularnewline
0.99 & 103.974428129632 & 0.087212298594881 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292677&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]85.5875669294824[/C][C]1.68465829008214[/C][/ROW]
[ROW][C]0.02[/C][C]86.4115873920691[/C][C]1.32956924939632[/C][/ROW]
[ROW][C]0.03[/C][C]87.1823972022246[/C][C]1.0810100894151[/C][/ROW]
[ROW][C]0.04[/C][C]87.8059326553723[/C][C]0.974228713124437[/C][/ROW]
[ROW][C]0.05[/C][C]88.3052611287243[/C][C]0.94636907213415[/C][/ROW]
[ROW][C]0.06[/C][C]88.7218285559209[/C][C]0.919223488264072[/C][/ROW]
[ROW][C]0.07[/C][C]89.0791904751805[/C][C]0.854985936248143[/C][/ROW]
[ROW][C]0.08[/C][C]89.3856931224707[/C][C]0.759261443765569[/C][/ROW]
[ROW][C]0.09[/C][C]89.645655327638[/C][C]0.660458303709813[/C][/ROW]
[ROW][C]0.1[/C][C]89.8660671050925[/C][C]0.588180125723979[/C][/ROW]
[ROW][C]0.11[/C][C]90.0574414290014[/C][C]0.558210650323612[/C][/ROW]
[ROW][C]0.12[/C][C]90.2315185517376[/C][C]0.567434566020262[/C][/ROW]
[ROW][C]0.13[/C][C]90.3985992266278[/C][C]0.601572119868661[/C][/ROW]
[ROW][C]0.14[/C][C]90.5659921185871[/C][C]0.646169513334073[/C][/ROW]
[ROW][C]0.15[/C][C]90.737801053885[/C][C]0.692237053287791[/C][/ROW]
[ROW][C]0.16[/C][C]90.9155856533159[/C][C]0.735455355148424[/C][/ROW]
[ROW][C]0.17[/C][C]91.0992971258424[/C][C]0.774394842779037[/C][/ROW]
[ROW][C]0.18[/C][C]91.288080097682[/C][C]0.808728624711124[/C][/ROW]
[ROW][C]0.19[/C][C]91.4807957155943[/C][C]0.838210151700082[/C][/ROW]
[ROW][C]0.2[/C][C]91.6763115406581[/C][C]0.862569906037594[/C][/ROW]
[ROW][C]0.21[/C][C]91.8736755681663[/C][C]0.88228309817853[/C][/ROW]
[ROW][C]0.22[/C][C]92.0722701556533[/C][C]0.898977189962953[/C][/ROW]
[ROW][C]0.23[/C][C]92.2719781917989[/C][C]0.915728137872232[/C][/ROW]
[ROW][C]0.24[/C][C]92.4733346030038[/C][C]0.93691584706884[/C][/ROW]
[ROW][C]0.25[/C][C]92.6776069791983[/C][C]0.967272780721986[/C][/ROW]
[ROW][C]0.26[/C][C]92.8867540428351[/C][C]1.01103578982771[/C][/ROW]
[ROW][C]0.27[/C][C]93.103239827514[/C][C]1.07071810561181[/C][/ROW]
[ROW][C]0.28[/C][C]93.3297192561118[/C][C]1.14604695067943[/C][/ROW]
[ROW][C]0.29[/C][C]93.5686433681737[/C][C]1.23420066084413[/C][/ROW]
[ROW][C]0.3[/C][C]93.8218511134863[/C][C]1.33007309498522[/C][/ROW]
[ROW][C]0.31[/C][C]94.0902168359828[/C][C]1.42676733531808[/C][/ROW]
[ROW][C]0.32[/C][C]94.3734105955865[/C][C]1.51697751608535[/C][/ROW]
[ROW][C]0.33[/C][C]94.6698073401663[/C][C]1.59353142529383[/C][/ROW]
[ROW][C]0.34[/C][C]94.9765563139161[/C][C]1.6499964501008[/C][/ROW]
[ROW][C]0.35[/C][C]95.2897987380528[/C][C]1.68172359370505[/C][/ROW]
[ROW][C]0.36[/C][C]95.6050028553581[/C][C]1.68619041357182[/C][/ROW]
[ROW][C]0.37[/C][C]95.9173724146597[/C][C]1.66296755230416[/C][/ROW]
[ROW][C]0.38[/C][C]96.2222779930105[/C][C]1.61413286277231[/C][/ROW]
[ROW][C]0.39[/C][C]96.5156600735826[/C][C]1.54371634687486[/C][/ROW]
[ROW][C]0.4[/C][C]96.7943581634598[/C][C]1.45744098573066[/C][/ROW]
[ROW][C]0.41[/C][C]97.0563308702659[/C][C]1.36212469177339[/C][/ROW]
[ROW][C]0.42[/C][C]97.3007467175526[/C][C]1.26479301389464[/C][/ROW]
[ROW][C]0.43[/C][C]97.5279428299066[/C][C]1.17223663927021[/C][/ROW]
[ROW][C]0.44[/C][C]97.7392660417822[/C][C]1.09002466552459[/C][/ROW]
[ROW][C]0.45[/C][C]97.9368257293419[/C][C]1.02220514109757[/C][/ROW]
[ROW][C]0.46[/C][C]98.123197258995[/C][C]0.970820720638344[/C][/ROW]
[ROW][C]0.47[/C][C]98.3011178466814[/C][C]0.935887204475967[/C][/ROW]
[ROW][C]0.48[/C][C]98.4732126627186[/C][C]0.915528762623782[/C][/ROW]
[ROW][C]0.49[/C][C]98.6417794757833[/C][C]0.90680193341526[/C][/ROW]
[ROW][C]0.5[/C][C]98.8086473751517[/C][C]0.906172712449733[/C][/ROW]
[ROW][C]0.51[/C][C]98.9751119507694[/C][C]0.910218761898463[/C][/ROW]
[ROW][C]0.52[/C][C]99.1419382581395[/C][C]0.91584769519717[/C][/ROW]
[ROW][C]0.53[/C][C]99.3094155806903[/C][C]0.920690406101321[/C][/ROW]
[ROW][C]0.54[/C][C]99.4774449094556[/C][C]0.922959285069242[/C][/ROW]
[ROW][C]0.55[/C][C]99.6456406236987[/C][C]0.921678612831978[/C][/ROW]
[ROW][C]0.56[/C][C]99.8134308569538[/C][C]0.916139131890095[/C][/ROW]
[ROW][C]0.57[/C][C]99.9801451209628[/C][C]0.906226812472053[/C][/ROW]
[ROW][C]0.58[/C][C]100.145081919151[/C][C]0.892095303300783[/C][/ROW]
[ROW][C]0.59[/C][C]100.307552875761[/C][C]0.874087369416506[/C][/ROW]
[ROW][C]0.6[/C][C]100.466903434523[/C][C]0.852543621917876[/C][/ROW]
[ROW][C]0.61[/C][C]100.622513767901[/C][C]0.827979605547045[/C][/ROW]
[ROW][C]0.62[/C][C]100.773787307807[/C][C]0.800439786534676[/C][/ROW]
[ROW][C]0.63[/C][C]100.920137821969[/C][C]0.770133081196415[/C][/ROW]
[ROW][C]0.64[/C][C]101.060988119348[/C][C]0.736887180748389[/C][/ROW]
[ROW][C]0.65[/C][C]101.195792795183[/C][C]0.700809208083731[/C][/ROW]
[ROW][C]0.66[/C][C]101.324092681083[/C][C]0.66206325149158[/C][/ROW]
[ROW][C]0.67[/C][C]101.445599605768[/C][C]0.621354338783603[/C][/ROW]
[ROW][C]0.68[/C][C]101.560298046263[/C][C]0.580019228889422[/C][/ROW]
[ROW][C]0.69[/C][C]101.668538303183[/C][C]0.540210435826438[/C][/ROW]
[ROW][C]0.7[/C][C]101.771088135131[/C][C]0.504558920138419[/C][/ROW]
[ROW][C]0.71[/C][C]101.869110408592[/C][C]0.475776151692531[/C][/ROW]
[ROW][C]0.72[/C][C]101.964045680067[/C][C]0.456212385045853[/C][/ROW]
[ROW][C]0.73[/C][C]102.057400106803[/C][C]0.446453137228497[/C][/ROW]
[ROW][C]0.74[/C][C]102.150466384323[/C][C]0.445116159345815[/C][/ROW]
[ROW][C]0.75[/C][C]102.244031111831[/C][C]0.44847156871505[/C][/ROW]
[ROW][C]0.76[/C][C]102.338137404354[/C][C]0.451510077005502[/C][/ROW]
[ROW][C]0.77[/C][C]102.431969562488[/C][C]0.449071639632795[/C][/ROW]
[ROW][C]0.78[/C][C]102.523904509698[/C][C]0.436933784481674[/C][/ROW]
[ROW][C]0.79[/C][C]102.611736236343[/C][C]0.412563131963891[/C][/ROW]
[ROW][C]0.8[/C][C]102.693034634131[/C][C]0.375802435614833[/C][/ROW]
[ROW][C]0.81[/C][C]102.765562512541[/C][C]0.32863324398301[/C][/ROW]
[ROW][C]0.82[/C][C]102.827657079885[/C][C]0.274854602020582[/C][/ROW]
[ROW][C]0.83[/C][C]102.878491971898[/C][C]0.219016343876992[/C][/ROW]
[ROW][C]0.84[/C][C]102.918171723907[/C][C]0.165798348111828[/C][/ROW]
[ROW][C]0.85[/C][C]102.947663100236[/C][C]0.118864205040636[/C][/ROW]
[ROW][C]0.86[/C][C]102.968623489033[/C][C]0.0806115244142936[/C][/ROW]
[ROW][C]0.87[/C][C]102.983232935705[/C][C]0.0520549624363405[/C][/ROW]
[ROW][C]0.88[/C][C]102.994162589653[/C][C]0.0335495082517321[/C][/ROW]
[ROW][C]0.89[/C][C]103.004802824501[/C][C]0.0274920260349505[/C][/ROW]
[ROW][C]0.9[/C][C]103.019795040941[/C][C]0.0394266897869204[/C][/ROW]
[ROW][C]0.91[/C][C]103.045705351149[/C][C]0.0723001416149301[/C][/ROW]
[ROW][C]0.92[/C][C]103.091308742346[/C][C]0.129936567847026[/C][/ROW]
[ROW][C]0.93[/C][C]103.166528358327[/C][C]0.214074677456163[/C][/ROW]
[ROW][C]0.94[/C][C]103.279021750328[/C][C]0.3149675252377[/C][/ROW]
[ROW][C]0.95[/C][C]103.428435858712[/C][C]0.404056974186024[/C][/ROW]
[ROW][C]0.96[/C][C]103.60082885624[/C][C]0.437654411670202[/C][/ROW]
[ROW][C]0.97[/C][C]103.768427887103[/C][C]0.380309338621513[/C][/ROW]
[ROW][C]0.98[/C][C]103.899287020423[/C][C]0.240967491094827[/C][/ROW]
[ROW][C]0.99[/C][C]103.974428129632[/C][C]0.087212298594881[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292677&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292677&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
0.0185.58756692948241.68465829008214
0.0286.41158739206911.32956924939632
0.0387.18239720222461.0810100894151
0.0487.80593265537230.974228713124437
0.0588.30526112872430.94636907213415
0.0688.72182855592090.919223488264072
0.0789.07919047518050.854985936248143
0.0889.38569312247070.759261443765569
0.0989.6456553276380.660458303709813
0.189.86606710509250.588180125723979
0.1190.05744142900140.558210650323612
0.1290.23151855173760.567434566020262
0.1390.39859922662780.601572119868661
0.1490.56599211858710.646169513334073
0.1590.7378010538850.692237053287791
0.1690.91558565331590.735455355148424
0.1791.09929712584240.774394842779037
0.1891.2880800976820.808728624711124
0.1991.48079571559430.838210151700082
0.291.67631154065810.862569906037594
0.2191.87367556816630.88228309817853
0.2292.07227015565330.898977189962953
0.2392.27197819179890.915728137872232
0.2492.47333460300380.93691584706884
0.2592.67760697919830.967272780721986
0.2692.88675404283511.01103578982771
0.2793.1032398275141.07071810561181
0.2893.32971925611181.14604695067943
0.2993.56864336817371.23420066084413
0.393.82185111348631.33007309498522
0.3194.09021683598281.42676733531808
0.3294.37341059558651.51697751608535
0.3394.66980734016631.59353142529383
0.3494.97655631391611.6499964501008
0.3595.28979873805281.68172359370505
0.3695.60500285535811.68619041357182
0.3795.91737241465971.66296755230416
0.3896.22227799301051.61413286277231
0.3996.51566007358261.54371634687486
0.496.79435816345981.45744098573066
0.4197.05633087026591.36212469177339
0.4297.30074671755261.26479301389464
0.4397.52794282990661.17223663927021
0.4497.73926604178221.09002466552459
0.4597.93682572934191.02220514109757
0.4698.1231972589950.970820720638344
0.4798.30111784668140.935887204475967
0.4898.47321266271860.915528762623782
0.4998.64177947578330.90680193341526
0.598.80864737515170.906172712449733
0.5198.97511195076940.910218761898463
0.5299.14193825813950.91584769519717
0.5399.30941558069030.920690406101321
0.5499.47744490945560.922959285069242
0.5599.64564062369870.921678612831978
0.5699.81343085695380.916139131890095
0.5799.98014512096280.906226812472053
0.58100.1450819191510.892095303300783
0.59100.3075528757610.874087369416506
0.6100.4669034345230.852543621917876
0.61100.6225137679010.827979605547045
0.62100.7737873078070.800439786534676
0.63100.9201378219690.770133081196415
0.64101.0609881193480.736887180748389
0.65101.1957927951830.700809208083731
0.66101.3240926810830.66206325149158
0.67101.4455996057680.621354338783603
0.68101.5602980462630.580019228889422
0.69101.6685383031830.540210435826438
0.7101.7710881351310.504558920138419
0.71101.8691104085920.475776151692531
0.72101.9640456800670.456212385045853
0.73102.0574001068030.446453137228497
0.74102.1504663843230.445116159345815
0.75102.2440311118310.44847156871505
0.76102.3381374043540.451510077005502
0.77102.4319695624880.449071639632795
0.78102.5239045096980.436933784481674
0.79102.6117362363430.412563131963891
0.8102.6930346341310.375802435614833
0.81102.7655625125410.32863324398301
0.82102.8276570798850.274854602020582
0.83102.8784919718980.219016343876992
0.84102.9181717239070.165798348111828
0.85102.9476631002360.118864205040636
0.86102.9686234890330.0806115244142936
0.87102.9832329357050.0520549624363405
0.88102.9941625896530.0335495082517321
0.89103.0048028245010.0274920260349505
0.9103.0197950409410.0394266897869204
0.91103.0457053511490.0723001416149301
0.92103.0913087423460.129936567847026
0.93103.1665283583270.214074677456163
0.94103.2790217503280.3149675252377
0.95103.4284358587120.404056974186024
0.96103.600828856240.437654411670202
0.97103.7684278871030.380309338621513
0.98103.8992870204230.240967491094827
0.99103.9744281296320.087212298594881


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')