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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 computationTue, 01 Mar 2016 14:18:11 +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/Mar/01/t1456841920eslxtm8pa98uu1f.htm/, Retrieved Tue, 07 May 2024 09:02:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293142, Retrieved Tue, 07 May 2024 09:02:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86

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] [] [2016-03-01 14:18:11] [73c24565f080d314e595da727a2003f4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
89.72
89.95
90.19
90.23
90.32
90.86
90.99
90.98
91.22
91.42
91.55
91.67
92.30
92.92
93.10
93.23
93.36
93.42
93.58
93.68
94.02
94.29
94.54
94.64
96.70
96.83
97.07
97.11
97.42
97.44
97.67
97.84
98.17
98.31
98.42
98.44
98.89
99.26
99.59
99.82
99.95
99.99
100.28
100.38
100.46
100.52
100.43
100.44
101.33
101.43
101.41
101.53
101.58
101.73
102.12
101.86
101.93
101.86
101.92
102.02

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=293142&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=293142&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293142&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
0.0189.78202163858110.221869961181915
0.0289.87953229436260.220789717164578
0.0389.99062071135550.226405601355163
0.0490.10243066765650.24259878528488
0.0590.21201093962930.272085714776444
0.0690.32125759511220.310781520839963
0.0790.4325564356690.349472316773077
0.0890.54687086175160.380834337229178
0.0990.66372032991640.402655752765298
0.190.78202959161510.417994490657272
0.1190.90104117862770.432722053227096
0.1291.02085097044690.452971170574089
0.1391.14246116044340.482854354594802
0.1491.2674641090080.52306870506616
0.1591.39755573388660.571464229010411
0.1691.53406127523620.624057047176866
0.1791.6775928706210.675928343689339
0.1891.82789065030760.722469106908224
0.1991.98384802257660.759361491694224
0.292.14369041885710.783770326723926
0.2192.3052600296250.79480670853848
0.2292.46635186705040.793201232804154
0.2392.62504640379490.781546636823837
0.2492.77999047583350.763878282931402
0.2592.93059044307020.745374195502696
0.2693.07709786643780.731297874792984
0.2793.22058514346930.726810152378742
0.2893.36282345469060.736029414905341
0.2993.5060857476120.761256716276683
0.393.65290258061480.803252652095984
0.3193.80579916085840.86034603830631
0.3293.96703938321140.929950410956078
0.3394.13839874937631.00790506403657
0.3494.32098385173061.08939563266896
0.3594.51511202457681.16912850188266
0.3694.72026053972951.24176801980586
0.3794.93508982941361.30261460106909
0.3895.15753930141331.34743832025208
0.3995.38498750670791.37355663170569
0.495.61446145834061.37924294206236
0.4195.84287395341191.36467096887935
0.4296.06726409322761.33139073858599
0.4396.28501580673251.28241859117309
0.4496.49403240799161.22145895146249
0.4596.69285162897311.15307187197734
0.4696.88069402835211.08180680426797
0.4797.05744661638731.01199544468682
0.4897.22359133786680.947265511931288
0.4997.38009343823760.890431445047656
0.597.52826703422710.843405881032782
0.5197.66963446798290.806708266231183
0.5297.80579292378590.780511719873161
0.5397.93829740885560.76384371532795
0.5498.06856471706370.755522300340432
0.5598.19779937646730.753730912500861
0.5698.32694038790120.756653092168477
0.5798.45662686405970.762405802413623
0.5898.5871811201030.768877184558523
0.5998.71860873012830.774142107004754
0.698.85061588801910.776314665213488
0.6198.9826445964060.773927300733276
0.6299.11392554719040.765795094469046
0.6399.24354716447460.751334128710131
0.6499.37053750816440.730272068441624
0.6599.49395402169390.703127933897867
0.6699.61297480453340.670888229065555
0.6799.72698435245410.634869552212319
0.6899.83564647098340.596981661030864
0.6999.93895714515520.559315619368465
0.7100.0372704147680.524083193749978
0.71100.1312908708320.49331799676139
0.72100.2220276899450.469204183720179
0.73100.3107078202460.453025661366928
0.74100.3986506171420.445497792504236
0.75100.4871129906510.445903715930722
0.76100.5771221577520.452528871301747
0.77100.6693205163790.462370433058331
0.78100.7638512998760.471997819718267
0.79100.8603118214810.47782249722026
0.8100.9577916365750.47692481194457
0.81101.054996357210.467351386168978
0.82101.1504374173680.448751148891487
0.83101.2426494616670.421858166834484
0.84101.3303867737650.388938369520636
0.85101.4127534251880.352643715844437
0.86101.4892399536430.315659236249968
0.87101.5596684440870.280264564405855
0.88101.6240790779340.247352338346342
0.89101.6826134139990.216951226330915
0.9101.7354535182550.188376903292616
0.91101.7828579540420.161174464050553
0.92101.8252994839440.135492074645798
0.93101.8636644804570.112516072667828
0.94101.8994285672270.0942831932119205
0.95101.9346731362030.0829871246282959
0.96101.9717337009840.0794914094786194
0.97102.0121832929220.0819641116429627
0.98102.0549522333160.0872901055119272
0.99102.0942454025260.0934313203235577

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 89.7820216385811 & 0.221869961181915 \tabularnewline
0.02 & 89.8795322943626 & 0.220789717164578 \tabularnewline
0.03 & 89.9906207113555 & 0.226405601355163 \tabularnewline
0.04 & 90.1024306676565 & 0.24259878528488 \tabularnewline
0.05 & 90.2120109396293 & 0.272085714776444 \tabularnewline
0.06 & 90.3212575951122 & 0.310781520839963 \tabularnewline
0.07 & 90.432556435669 & 0.349472316773077 \tabularnewline
0.08 & 90.5468708617516 & 0.380834337229178 \tabularnewline
0.09 & 90.6637203299164 & 0.402655752765298 \tabularnewline
0.1 & 90.7820295916151 & 0.417994490657272 \tabularnewline
0.11 & 90.9010411786277 & 0.432722053227096 \tabularnewline
0.12 & 91.0208509704469 & 0.452971170574089 \tabularnewline
0.13 & 91.1424611604434 & 0.482854354594802 \tabularnewline
0.14 & 91.267464109008 & 0.52306870506616 \tabularnewline
0.15 & 91.3975557338866 & 0.571464229010411 \tabularnewline
0.16 & 91.5340612752362 & 0.624057047176866 \tabularnewline
0.17 & 91.677592870621 & 0.675928343689339 \tabularnewline
0.18 & 91.8278906503076 & 0.722469106908224 \tabularnewline
0.19 & 91.9838480225766 & 0.759361491694224 \tabularnewline
0.2 & 92.1436904188571 & 0.783770326723926 \tabularnewline
0.21 & 92.305260029625 & 0.79480670853848 \tabularnewline
0.22 & 92.4663518670504 & 0.793201232804154 \tabularnewline
0.23 & 92.6250464037949 & 0.781546636823837 \tabularnewline
0.24 & 92.7799904758335 & 0.763878282931402 \tabularnewline
0.25 & 92.9305904430702 & 0.745374195502696 \tabularnewline
0.26 & 93.0770978664378 & 0.731297874792984 \tabularnewline
0.27 & 93.2205851434693 & 0.726810152378742 \tabularnewline
0.28 & 93.3628234546906 & 0.736029414905341 \tabularnewline
0.29 & 93.506085747612 & 0.761256716276683 \tabularnewline
0.3 & 93.6529025806148 & 0.803252652095984 \tabularnewline
0.31 & 93.8057991608584 & 0.86034603830631 \tabularnewline
0.32 & 93.9670393832114 & 0.929950410956078 \tabularnewline
0.33 & 94.1383987493763 & 1.00790506403657 \tabularnewline
0.34 & 94.3209838517306 & 1.08939563266896 \tabularnewline
0.35 & 94.5151120245768 & 1.16912850188266 \tabularnewline
0.36 & 94.7202605397295 & 1.24176801980586 \tabularnewline
0.37 & 94.9350898294136 & 1.30261460106909 \tabularnewline
0.38 & 95.1575393014133 & 1.34743832025208 \tabularnewline
0.39 & 95.3849875067079 & 1.37355663170569 \tabularnewline
0.4 & 95.6144614583406 & 1.37924294206236 \tabularnewline
0.41 & 95.8428739534119 & 1.36467096887935 \tabularnewline
0.42 & 96.0672640932276 & 1.33139073858599 \tabularnewline
0.43 & 96.2850158067325 & 1.28241859117309 \tabularnewline
0.44 & 96.4940324079916 & 1.22145895146249 \tabularnewline
0.45 & 96.6928516289731 & 1.15307187197734 \tabularnewline
0.46 & 96.8806940283521 & 1.08180680426797 \tabularnewline
0.47 & 97.0574466163873 & 1.01199544468682 \tabularnewline
0.48 & 97.2235913378668 & 0.947265511931288 \tabularnewline
0.49 & 97.3800934382376 & 0.890431445047656 \tabularnewline
0.5 & 97.5282670342271 & 0.843405881032782 \tabularnewline
0.51 & 97.6696344679829 & 0.806708266231183 \tabularnewline
0.52 & 97.8057929237859 & 0.780511719873161 \tabularnewline
0.53 & 97.9382974088556 & 0.76384371532795 \tabularnewline
0.54 & 98.0685647170637 & 0.755522300340432 \tabularnewline
0.55 & 98.1977993764673 & 0.753730912500861 \tabularnewline
0.56 & 98.3269403879012 & 0.756653092168477 \tabularnewline
0.57 & 98.4566268640597 & 0.762405802413623 \tabularnewline
0.58 & 98.587181120103 & 0.768877184558523 \tabularnewline
0.59 & 98.7186087301283 & 0.774142107004754 \tabularnewline
0.6 & 98.8506158880191 & 0.776314665213488 \tabularnewline
0.61 & 98.982644596406 & 0.773927300733276 \tabularnewline
0.62 & 99.1139255471904 & 0.765795094469046 \tabularnewline
0.63 & 99.2435471644746 & 0.751334128710131 \tabularnewline
0.64 & 99.3705375081644 & 0.730272068441624 \tabularnewline
0.65 & 99.4939540216939 & 0.703127933897867 \tabularnewline
0.66 & 99.6129748045334 & 0.670888229065555 \tabularnewline
0.67 & 99.7269843524541 & 0.634869552212319 \tabularnewline
0.68 & 99.8356464709834 & 0.596981661030864 \tabularnewline
0.69 & 99.9389571451552 & 0.559315619368465 \tabularnewline
0.7 & 100.037270414768 & 0.524083193749978 \tabularnewline
0.71 & 100.131290870832 & 0.49331799676139 \tabularnewline
0.72 & 100.222027689945 & 0.469204183720179 \tabularnewline
0.73 & 100.310707820246 & 0.453025661366928 \tabularnewline
0.74 & 100.398650617142 & 0.445497792504236 \tabularnewline
0.75 & 100.487112990651 & 0.445903715930722 \tabularnewline
0.76 & 100.577122157752 & 0.452528871301747 \tabularnewline
0.77 & 100.669320516379 & 0.462370433058331 \tabularnewline
0.78 & 100.763851299876 & 0.471997819718267 \tabularnewline
0.79 & 100.860311821481 & 0.47782249722026 \tabularnewline
0.8 & 100.957791636575 & 0.47692481194457 \tabularnewline
0.81 & 101.05499635721 & 0.467351386168978 \tabularnewline
0.82 & 101.150437417368 & 0.448751148891487 \tabularnewline
0.83 & 101.242649461667 & 0.421858166834484 \tabularnewline
0.84 & 101.330386773765 & 0.388938369520636 \tabularnewline
0.85 & 101.412753425188 & 0.352643715844437 \tabularnewline
0.86 & 101.489239953643 & 0.315659236249968 \tabularnewline
0.87 & 101.559668444087 & 0.280264564405855 \tabularnewline
0.88 & 101.624079077934 & 0.247352338346342 \tabularnewline
0.89 & 101.682613413999 & 0.216951226330915 \tabularnewline
0.9 & 101.735453518255 & 0.188376903292616 \tabularnewline
0.91 & 101.782857954042 & 0.161174464050553 \tabularnewline
0.92 & 101.825299483944 & 0.135492074645798 \tabularnewline
0.93 & 101.863664480457 & 0.112516072667828 \tabularnewline
0.94 & 101.899428567227 & 0.0942831932119205 \tabularnewline
0.95 & 101.934673136203 & 0.0829871246282959 \tabularnewline
0.96 & 101.971733700984 & 0.0794914094786194 \tabularnewline
0.97 & 102.012183292922 & 0.0819641116429627 \tabularnewline
0.98 & 102.054952233316 & 0.0872901055119272 \tabularnewline
0.99 & 102.094245402526 & 0.0934313203235577 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293142&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]89.7820216385811[/C][C]0.221869961181915[/C][/ROW]
[ROW][C]0.02[/C][C]89.8795322943626[/C][C]0.220789717164578[/C][/ROW]
[ROW][C]0.03[/C][C]89.9906207113555[/C][C]0.226405601355163[/C][/ROW]
[ROW][C]0.04[/C][C]90.1024306676565[/C][C]0.24259878528488[/C][/ROW]
[ROW][C]0.05[/C][C]90.2120109396293[/C][C]0.272085714776444[/C][/ROW]
[ROW][C]0.06[/C][C]90.3212575951122[/C][C]0.310781520839963[/C][/ROW]
[ROW][C]0.07[/C][C]90.432556435669[/C][C]0.349472316773077[/C][/ROW]
[ROW][C]0.08[/C][C]90.5468708617516[/C][C]0.380834337229178[/C][/ROW]
[ROW][C]0.09[/C][C]90.6637203299164[/C][C]0.402655752765298[/C][/ROW]
[ROW][C]0.1[/C][C]90.7820295916151[/C][C]0.417994490657272[/C][/ROW]
[ROW][C]0.11[/C][C]90.9010411786277[/C][C]0.432722053227096[/C][/ROW]
[ROW][C]0.12[/C][C]91.0208509704469[/C][C]0.452971170574089[/C][/ROW]
[ROW][C]0.13[/C][C]91.1424611604434[/C][C]0.482854354594802[/C][/ROW]
[ROW][C]0.14[/C][C]91.267464109008[/C][C]0.52306870506616[/C][/ROW]
[ROW][C]0.15[/C][C]91.3975557338866[/C][C]0.571464229010411[/C][/ROW]
[ROW][C]0.16[/C][C]91.5340612752362[/C][C]0.624057047176866[/C][/ROW]
[ROW][C]0.17[/C][C]91.677592870621[/C][C]0.675928343689339[/C][/ROW]
[ROW][C]0.18[/C][C]91.8278906503076[/C][C]0.722469106908224[/C][/ROW]
[ROW][C]0.19[/C][C]91.9838480225766[/C][C]0.759361491694224[/C][/ROW]
[ROW][C]0.2[/C][C]92.1436904188571[/C][C]0.783770326723926[/C][/ROW]
[ROW][C]0.21[/C][C]92.305260029625[/C][C]0.79480670853848[/C][/ROW]
[ROW][C]0.22[/C][C]92.4663518670504[/C][C]0.793201232804154[/C][/ROW]
[ROW][C]0.23[/C][C]92.6250464037949[/C][C]0.781546636823837[/C][/ROW]
[ROW][C]0.24[/C][C]92.7799904758335[/C][C]0.763878282931402[/C][/ROW]
[ROW][C]0.25[/C][C]92.9305904430702[/C][C]0.745374195502696[/C][/ROW]
[ROW][C]0.26[/C][C]93.0770978664378[/C][C]0.731297874792984[/C][/ROW]
[ROW][C]0.27[/C][C]93.2205851434693[/C][C]0.726810152378742[/C][/ROW]
[ROW][C]0.28[/C][C]93.3628234546906[/C][C]0.736029414905341[/C][/ROW]
[ROW][C]0.29[/C][C]93.506085747612[/C][C]0.761256716276683[/C][/ROW]
[ROW][C]0.3[/C][C]93.6529025806148[/C][C]0.803252652095984[/C][/ROW]
[ROW][C]0.31[/C][C]93.8057991608584[/C][C]0.86034603830631[/C][/ROW]
[ROW][C]0.32[/C][C]93.9670393832114[/C][C]0.929950410956078[/C][/ROW]
[ROW][C]0.33[/C][C]94.1383987493763[/C][C]1.00790506403657[/C][/ROW]
[ROW][C]0.34[/C][C]94.3209838517306[/C][C]1.08939563266896[/C][/ROW]
[ROW][C]0.35[/C][C]94.5151120245768[/C][C]1.16912850188266[/C][/ROW]
[ROW][C]0.36[/C][C]94.7202605397295[/C][C]1.24176801980586[/C][/ROW]
[ROW][C]0.37[/C][C]94.9350898294136[/C][C]1.30261460106909[/C][/ROW]
[ROW][C]0.38[/C][C]95.1575393014133[/C][C]1.34743832025208[/C][/ROW]
[ROW][C]0.39[/C][C]95.3849875067079[/C][C]1.37355663170569[/C][/ROW]
[ROW][C]0.4[/C][C]95.6144614583406[/C][C]1.37924294206236[/C][/ROW]
[ROW][C]0.41[/C][C]95.8428739534119[/C][C]1.36467096887935[/C][/ROW]
[ROW][C]0.42[/C][C]96.0672640932276[/C][C]1.33139073858599[/C][/ROW]
[ROW][C]0.43[/C][C]96.2850158067325[/C][C]1.28241859117309[/C][/ROW]
[ROW][C]0.44[/C][C]96.4940324079916[/C][C]1.22145895146249[/C][/ROW]
[ROW][C]0.45[/C][C]96.6928516289731[/C][C]1.15307187197734[/C][/ROW]
[ROW][C]0.46[/C][C]96.8806940283521[/C][C]1.08180680426797[/C][/ROW]
[ROW][C]0.47[/C][C]97.0574466163873[/C][C]1.01199544468682[/C][/ROW]
[ROW][C]0.48[/C][C]97.2235913378668[/C][C]0.947265511931288[/C][/ROW]
[ROW][C]0.49[/C][C]97.3800934382376[/C][C]0.890431445047656[/C][/ROW]
[ROW][C]0.5[/C][C]97.5282670342271[/C][C]0.843405881032782[/C][/ROW]
[ROW][C]0.51[/C][C]97.6696344679829[/C][C]0.806708266231183[/C][/ROW]
[ROW][C]0.52[/C][C]97.8057929237859[/C][C]0.780511719873161[/C][/ROW]
[ROW][C]0.53[/C][C]97.9382974088556[/C][C]0.76384371532795[/C][/ROW]
[ROW][C]0.54[/C][C]98.0685647170637[/C][C]0.755522300340432[/C][/ROW]
[ROW][C]0.55[/C][C]98.1977993764673[/C][C]0.753730912500861[/C][/ROW]
[ROW][C]0.56[/C][C]98.3269403879012[/C][C]0.756653092168477[/C][/ROW]
[ROW][C]0.57[/C][C]98.4566268640597[/C][C]0.762405802413623[/C][/ROW]
[ROW][C]0.58[/C][C]98.587181120103[/C][C]0.768877184558523[/C][/ROW]
[ROW][C]0.59[/C][C]98.7186087301283[/C][C]0.774142107004754[/C][/ROW]
[ROW][C]0.6[/C][C]98.8506158880191[/C][C]0.776314665213488[/C][/ROW]
[ROW][C]0.61[/C][C]98.982644596406[/C][C]0.773927300733276[/C][/ROW]
[ROW][C]0.62[/C][C]99.1139255471904[/C][C]0.765795094469046[/C][/ROW]
[ROW][C]0.63[/C][C]99.2435471644746[/C][C]0.751334128710131[/C][/ROW]
[ROW][C]0.64[/C][C]99.3705375081644[/C][C]0.730272068441624[/C][/ROW]
[ROW][C]0.65[/C][C]99.4939540216939[/C][C]0.703127933897867[/C][/ROW]
[ROW][C]0.66[/C][C]99.6129748045334[/C][C]0.670888229065555[/C][/ROW]
[ROW][C]0.67[/C][C]99.7269843524541[/C][C]0.634869552212319[/C][/ROW]
[ROW][C]0.68[/C][C]99.8356464709834[/C][C]0.596981661030864[/C][/ROW]
[ROW][C]0.69[/C][C]99.9389571451552[/C][C]0.559315619368465[/C][/ROW]
[ROW][C]0.7[/C][C]100.037270414768[/C][C]0.524083193749978[/C][/ROW]
[ROW][C]0.71[/C][C]100.131290870832[/C][C]0.49331799676139[/C][/ROW]
[ROW][C]0.72[/C][C]100.222027689945[/C][C]0.469204183720179[/C][/ROW]
[ROW][C]0.73[/C][C]100.310707820246[/C][C]0.453025661366928[/C][/ROW]
[ROW][C]0.74[/C][C]100.398650617142[/C][C]0.445497792504236[/C][/ROW]
[ROW][C]0.75[/C][C]100.487112990651[/C][C]0.445903715930722[/C][/ROW]
[ROW][C]0.76[/C][C]100.577122157752[/C][C]0.452528871301747[/C][/ROW]
[ROW][C]0.77[/C][C]100.669320516379[/C][C]0.462370433058331[/C][/ROW]
[ROW][C]0.78[/C][C]100.763851299876[/C][C]0.471997819718267[/C][/ROW]
[ROW][C]0.79[/C][C]100.860311821481[/C][C]0.47782249722026[/C][/ROW]
[ROW][C]0.8[/C][C]100.957791636575[/C][C]0.47692481194457[/C][/ROW]
[ROW][C]0.81[/C][C]101.05499635721[/C][C]0.467351386168978[/C][/ROW]
[ROW][C]0.82[/C][C]101.150437417368[/C][C]0.448751148891487[/C][/ROW]
[ROW][C]0.83[/C][C]101.242649461667[/C][C]0.421858166834484[/C][/ROW]
[ROW][C]0.84[/C][C]101.330386773765[/C][C]0.388938369520636[/C][/ROW]
[ROW][C]0.85[/C][C]101.412753425188[/C][C]0.352643715844437[/C][/ROW]
[ROW][C]0.86[/C][C]101.489239953643[/C][C]0.315659236249968[/C][/ROW]
[ROW][C]0.87[/C][C]101.559668444087[/C][C]0.280264564405855[/C][/ROW]
[ROW][C]0.88[/C][C]101.624079077934[/C][C]0.247352338346342[/C][/ROW]
[ROW][C]0.89[/C][C]101.682613413999[/C][C]0.216951226330915[/C][/ROW]
[ROW][C]0.9[/C][C]101.735453518255[/C][C]0.188376903292616[/C][/ROW]
[ROW][C]0.91[/C][C]101.782857954042[/C][C]0.161174464050553[/C][/ROW]
[ROW][C]0.92[/C][C]101.825299483944[/C][C]0.135492074645798[/C][/ROW]
[ROW][C]0.93[/C][C]101.863664480457[/C][C]0.112516072667828[/C][/ROW]
[ROW][C]0.94[/C][C]101.899428567227[/C][C]0.0942831932119205[/C][/ROW]
[ROW][C]0.95[/C][C]101.934673136203[/C][C]0.0829871246282959[/C][/ROW]
[ROW][C]0.96[/C][C]101.971733700984[/C][C]0.0794914094786194[/C][/ROW]
[ROW][C]0.97[/C][C]102.012183292922[/C][C]0.0819641116429627[/C][/ROW]
[ROW][C]0.98[/C][C]102.054952233316[/C][C]0.0872901055119272[/C][/ROW]
[ROW][C]0.99[/C][C]102.094245402526[/C][C]0.0934313203235577[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293142&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293142&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
0.0189.78202163858110.221869961181915
0.0289.87953229436260.220789717164578
0.0389.99062071135550.226405601355163
0.0490.10243066765650.24259878528488
0.0590.21201093962930.272085714776444
0.0690.32125759511220.310781520839963
0.0790.4325564356690.349472316773077
0.0890.54687086175160.380834337229178
0.0990.66372032991640.402655752765298
0.190.78202959161510.417994490657272
0.1190.90104117862770.432722053227096
0.1291.02085097044690.452971170574089
0.1391.14246116044340.482854354594802
0.1491.2674641090080.52306870506616
0.1591.39755573388660.571464229010411
0.1691.53406127523620.624057047176866
0.1791.6775928706210.675928343689339
0.1891.82789065030760.722469106908224
0.1991.98384802257660.759361491694224
0.292.14369041885710.783770326723926
0.2192.3052600296250.79480670853848
0.2292.46635186705040.793201232804154
0.2392.62504640379490.781546636823837
0.2492.77999047583350.763878282931402
0.2592.93059044307020.745374195502696
0.2693.07709786643780.731297874792984
0.2793.22058514346930.726810152378742
0.2893.36282345469060.736029414905341
0.2993.5060857476120.761256716276683
0.393.65290258061480.803252652095984
0.3193.80579916085840.86034603830631
0.3293.96703938321140.929950410956078
0.3394.13839874937631.00790506403657
0.3494.32098385173061.08939563266896
0.3594.51511202457681.16912850188266
0.3694.72026053972951.24176801980586
0.3794.93508982941361.30261460106909
0.3895.15753930141331.34743832025208
0.3995.38498750670791.37355663170569
0.495.61446145834061.37924294206236
0.4195.84287395341191.36467096887935
0.4296.06726409322761.33139073858599
0.4396.28501580673251.28241859117309
0.4496.49403240799161.22145895146249
0.4596.69285162897311.15307187197734
0.4696.88069402835211.08180680426797
0.4797.05744661638731.01199544468682
0.4897.22359133786680.947265511931288
0.4997.38009343823760.890431445047656
0.597.52826703422710.843405881032782
0.5197.66963446798290.806708266231183
0.5297.80579292378590.780511719873161
0.5397.93829740885560.76384371532795
0.5498.06856471706370.755522300340432
0.5598.19779937646730.753730912500861
0.5698.32694038790120.756653092168477
0.5798.45662686405970.762405802413623
0.5898.5871811201030.768877184558523
0.5998.71860873012830.774142107004754
0.698.85061588801910.776314665213488
0.6198.9826445964060.773927300733276
0.6299.11392554719040.765795094469046
0.6399.24354716447460.751334128710131
0.6499.37053750816440.730272068441624
0.6599.49395402169390.703127933897867
0.6699.61297480453340.670888229065555
0.6799.72698435245410.634869552212319
0.6899.83564647098340.596981661030864
0.6999.93895714515520.559315619368465
0.7100.0372704147680.524083193749978
0.71100.1312908708320.49331799676139
0.72100.2220276899450.469204183720179
0.73100.3107078202460.453025661366928
0.74100.3986506171420.445497792504236
0.75100.4871129906510.445903715930722
0.76100.5771221577520.452528871301747
0.77100.6693205163790.462370433058331
0.78100.7638512998760.471997819718267
0.79100.8603118214810.47782249722026
0.8100.9577916365750.47692481194457
0.81101.054996357210.467351386168978
0.82101.1504374173680.448751148891487
0.83101.2426494616670.421858166834484
0.84101.3303867737650.388938369520636
0.85101.4127534251880.352643715844437
0.86101.4892399536430.315659236249968
0.87101.5596684440870.280264564405855
0.88101.6240790779340.247352338346342
0.89101.6826134139990.216951226330915
0.9101.7354535182550.188376903292616
0.91101.7828579540420.161174464050553
0.92101.8252994839440.135492074645798
0.93101.8636644804570.112516072667828
0.94101.8994285672270.0942831932119205
0.95101.9346731362030.0829871246282959
0.96101.9717337009840.0794914094786194
0.97102.0121832929220.0819641116429627
0.98102.0549522333160.0872901055119272
0.99102.0942454025260.0934313203235577


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')