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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 10 Oct 2015 12:19:27 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/10/t1444475990sodc6lknuebsyn8.htm/, Retrieved Tue, 14 May 2024 19:35:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282156, Retrieved Tue, 14 May 2024 19:35:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact120

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] [] [2015-10-10 11:19:27] [2c14a834423fb5dcfbeb4b507321e1ef] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92,09
93,77
94,44
94,91
94,78
94,51
94,36
96,6
96,72
96,71
97,44
97,83
98,92
97,98
98,76
99,76
99,87
100,09
100,07
99,46
100,4
101,25
102,29
102,1
105,91
108,95
110,07
109,92
109,87
110,54
110,79
110,32
110,76
110,24
110,27
110,11
110,39
111,05
110,85
110,24
108,7
109,93
109,53
109,83
107,86
104,61
103,61
103,11
102,59
102,91
101,94
101,8
102,25
102,6
102,49
102,13
100,76
100,86
101,12
100,74
99,99
99,39
99,52
99,21
99,38
99,37
99,38
99,26
99,36
99,2
98,53
98,65
99,15
100,17
99,98
100,07
99,94
100,05
99,13
98,74
98,64
98,44
98,81
98,88
99,63
100,08
100,07
100,55
99,98
99,89
99,86
99,61
100,12
100,24
100,1
99,86
97,99
97,57
98,28
97,97
97,99
97,84
97,33
96,7
96,79
96,76
96,23
96,29

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 Ronald Aylmer Fisher' @ fisher.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 Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282156&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 Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282156&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282156&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 Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.87016802903181.16905375350467
0.0293.72700736719620.671236104553547
0.0394.27223590835660.476930605112797
0.0494.63445113039820.544057993770997
0.0594.96507570922560.694559092268133
0.0695.31480871380710.795394629762473
0.0795.66990699639870.795763296948166
0.0895.99830576029830.711475077707599
0.0996.27785731867170.5937383100568
0.196.50534322011990.493767791370136
0.1196.69209216249520.440520275717069
0.1296.85466238179410.433232810287707
0.1397.00706637252250.451278275331306
0.1497.15714765731010.472272441181684
0.1597.30672262311340.482307455876828
0.1697.45381410469660.476955304839034
0.1797.59528789562370.459201027473665
0.1897.72878516899410.43587775476377
0.1997.85354462089590.413688227570889
0.297.97025957569690.396997612150495
0.2198.08040291083990.386350291043533
0.2298.18548127824820.379703495583694
0.2398.2865342035030.373969290629121
0.2498.38398586693250.366687981698122
0.2598.4777829446650.356732833620034
0.2698.56766299875510.344624075585767
0.2798.65339957031070.331299376773228
0.2898.7349324771810.318121812943113
0.2998.81237103586640.305571582646417
0.398.88591690473890.293727838009467
0.3198.95577419309960.282046390276179
0.3299.02210031249740.270402937344393
0.3399.08501789234380.258495224536918
0.3499.14467468666340.246763100562042
0.3599.20131791288330.235737994219994
0.3699.25534626912380.226773644079873
0.3799.30731393949010.220575615975204
0.3899.35787934298620.217649446253199
0.3999.40770998074860.217577100805055
0.499.45736805590170.219960676800071
0.4199.50720670740950.223258713110038
0.4299.55730332554520.225975422037199
0.4399.60744620665240.226776425297997
0.4499.65717701235850.224471949193802
0.4599.70587814330770.21870613225749
0.4699.75288494660040.209735111967963
0.4799.79759996295560.198012998941039
0.4899.83959032393950.184486900394036
0.4999.87865787488420.170253528767239
0.599.91488117183750.157230421415905
0.5199.94863565950330.146257934517876
0.5299.98060081148330.138995263614993
0.53100.0117605644190.136924136022725
0.54100.0433977431520.141325394580978
0.55100.0770772472450.153746040664789
0.56100.1146093499490.175122755983115
0.57100.1579850970780.205867047636181
0.58100.2092801861630.245715556451173
0.59100.270529957560.294037552359073
0.6100.3435837826670.349400742953514
0.61100.4299505803980.409868010050727
0.62100.5306487168040.472997208623144
0.63100.6460753076420.535684495510295
0.64100.7759146307080.594678629231888
0.65100.9191139632630.646798764453516
0.66101.0739651825960.689145977005622
0.67101.2383357615580.720044677652753
0.68101.4100856453990.739885628883595
0.69101.5876810150510.751460033431258
0.7101.7709708531240.76195610983333
0.71101.9620316387590.781755000407335
0.72102.1659179378730.825241327143968
0.73102.3910946703290.90780112898249
0.74102.649289119841.04259737508377
0.75102.9545153681131.23545944444343
0.76103.3211261103371.48192120703831
0.77103.7609640434361.76424956546625
0.78104.2800069571462.05316964817432
0.79104.8752495533012.30953483785988
0.8105.5327926119412.4909142571008
0.81106.2280459383762.56160790163926
0.82106.9284983070222.50130865972439
0.83107.5987366792762.31201506364758
0.84108.2065716319352.01837577225795
0.85108.7286078898531.66260901436063
0.86109.1536678790421.29318973153121
0.87109.4831660027180.953553606498039
0.88109.7285884127780.672929816996589
0.89109.9072267649030.463124330040921
0.9110.0378281727520.32050687222794
0.91110.1376227086390.232688883893188
0.92110.2213076473470.186123809909383
0.93110.3013208284780.171253338449124
0.94110.3877347384410.179677152184022
0.95110.4863053230110.196277424963631
0.96110.5957080613080.199073525391662
0.97110.709339581060.173346279560686
0.98110.8262160102040.137339979813914
0.99110.9522552726180.149339869004085

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.8701680290318 & 1.16905375350467 \tabularnewline
0.02 & 93.7270073671962 & 0.671236104553547 \tabularnewline
0.03 & 94.2722359083566 & 0.476930605112797 \tabularnewline
0.04 & 94.6344511303982 & 0.544057993770997 \tabularnewline
0.05 & 94.9650757092256 & 0.694559092268133 \tabularnewline
0.06 & 95.3148087138071 & 0.795394629762473 \tabularnewline
0.07 & 95.6699069963987 & 0.795763296948166 \tabularnewline
0.08 & 95.9983057602983 & 0.711475077707599 \tabularnewline
0.09 & 96.2778573186717 & 0.5937383100568 \tabularnewline
0.1 & 96.5053432201199 & 0.493767791370136 \tabularnewline
0.11 & 96.6920921624952 & 0.440520275717069 \tabularnewline
0.12 & 96.8546623817941 & 0.433232810287707 \tabularnewline
0.13 & 97.0070663725225 & 0.451278275331306 \tabularnewline
0.14 & 97.1571476573101 & 0.472272441181684 \tabularnewline
0.15 & 97.3067226231134 & 0.482307455876828 \tabularnewline
0.16 & 97.4538141046966 & 0.476955304839034 \tabularnewline
0.17 & 97.5952878956237 & 0.459201027473665 \tabularnewline
0.18 & 97.7287851689941 & 0.43587775476377 \tabularnewline
0.19 & 97.8535446208959 & 0.413688227570889 \tabularnewline
0.2 & 97.9702595756969 & 0.396997612150495 \tabularnewline
0.21 & 98.0804029108399 & 0.386350291043533 \tabularnewline
0.22 & 98.1854812782482 & 0.379703495583694 \tabularnewline
0.23 & 98.286534203503 & 0.373969290629121 \tabularnewline
0.24 & 98.3839858669325 & 0.366687981698122 \tabularnewline
0.25 & 98.477782944665 & 0.356732833620034 \tabularnewline
0.26 & 98.5676629987551 & 0.344624075585767 \tabularnewline
0.27 & 98.6533995703107 & 0.331299376773228 \tabularnewline
0.28 & 98.734932477181 & 0.318121812943113 \tabularnewline
0.29 & 98.8123710358664 & 0.305571582646417 \tabularnewline
0.3 & 98.8859169047389 & 0.293727838009467 \tabularnewline
0.31 & 98.9557741930996 & 0.282046390276179 \tabularnewline
0.32 & 99.0221003124974 & 0.270402937344393 \tabularnewline
0.33 & 99.0850178923438 & 0.258495224536918 \tabularnewline
0.34 & 99.1446746866634 & 0.246763100562042 \tabularnewline
0.35 & 99.2013179128833 & 0.235737994219994 \tabularnewline
0.36 & 99.2553462691238 & 0.226773644079873 \tabularnewline
0.37 & 99.3073139394901 & 0.220575615975204 \tabularnewline
0.38 & 99.3578793429862 & 0.217649446253199 \tabularnewline
0.39 & 99.4077099807486 & 0.217577100805055 \tabularnewline
0.4 & 99.4573680559017 & 0.219960676800071 \tabularnewline
0.41 & 99.5072067074095 & 0.223258713110038 \tabularnewline
0.42 & 99.5573033255452 & 0.225975422037199 \tabularnewline
0.43 & 99.6074462066524 & 0.226776425297997 \tabularnewline
0.44 & 99.6571770123585 & 0.224471949193802 \tabularnewline
0.45 & 99.7058781433077 & 0.21870613225749 \tabularnewline
0.46 & 99.7528849466004 & 0.209735111967963 \tabularnewline
0.47 & 99.7975999629556 & 0.198012998941039 \tabularnewline
0.48 & 99.8395903239395 & 0.184486900394036 \tabularnewline
0.49 & 99.8786578748842 & 0.170253528767239 \tabularnewline
0.5 & 99.9148811718375 & 0.157230421415905 \tabularnewline
0.51 & 99.9486356595033 & 0.146257934517876 \tabularnewline
0.52 & 99.9806008114833 & 0.138995263614993 \tabularnewline
0.53 & 100.011760564419 & 0.136924136022725 \tabularnewline
0.54 & 100.043397743152 & 0.141325394580978 \tabularnewline
0.55 & 100.077077247245 & 0.153746040664789 \tabularnewline
0.56 & 100.114609349949 & 0.175122755983115 \tabularnewline
0.57 & 100.157985097078 & 0.205867047636181 \tabularnewline
0.58 & 100.209280186163 & 0.245715556451173 \tabularnewline
0.59 & 100.27052995756 & 0.294037552359073 \tabularnewline
0.6 & 100.343583782667 & 0.349400742953514 \tabularnewline
0.61 & 100.429950580398 & 0.409868010050727 \tabularnewline
0.62 & 100.530648716804 & 0.472997208623144 \tabularnewline
0.63 & 100.646075307642 & 0.535684495510295 \tabularnewline
0.64 & 100.775914630708 & 0.594678629231888 \tabularnewline
0.65 & 100.919113963263 & 0.646798764453516 \tabularnewline
0.66 & 101.073965182596 & 0.689145977005622 \tabularnewline
0.67 & 101.238335761558 & 0.720044677652753 \tabularnewline
0.68 & 101.410085645399 & 0.739885628883595 \tabularnewline
0.69 & 101.587681015051 & 0.751460033431258 \tabularnewline
0.7 & 101.770970853124 & 0.76195610983333 \tabularnewline
0.71 & 101.962031638759 & 0.781755000407335 \tabularnewline
0.72 & 102.165917937873 & 0.825241327143968 \tabularnewline
0.73 & 102.391094670329 & 0.90780112898249 \tabularnewline
0.74 & 102.64928911984 & 1.04259737508377 \tabularnewline
0.75 & 102.954515368113 & 1.23545944444343 \tabularnewline
0.76 & 103.321126110337 & 1.48192120703831 \tabularnewline
0.77 & 103.760964043436 & 1.76424956546625 \tabularnewline
0.78 & 104.280006957146 & 2.05316964817432 \tabularnewline
0.79 & 104.875249553301 & 2.30953483785988 \tabularnewline
0.8 & 105.532792611941 & 2.4909142571008 \tabularnewline
0.81 & 106.228045938376 & 2.56160790163926 \tabularnewline
0.82 & 106.928498307022 & 2.50130865972439 \tabularnewline
0.83 & 107.598736679276 & 2.31201506364758 \tabularnewline
0.84 & 108.206571631935 & 2.01837577225795 \tabularnewline
0.85 & 108.728607889853 & 1.66260901436063 \tabularnewline
0.86 & 109.153667879042 & 1.29318973153121 \tabularnewline
0.87 & 109.483166002718 & 0.953553606498039 \tabularnewline
0.88 & 109.728588412778 & 0.672929816996589 \tabularnewline
0.89 & 109.907226764903 & 0.463124330040921 \tabularnewline
0.9 & 110.037828172752 & 0.32050687222794 \tabularnewline
0.91 & 110.137622708639 & 0.232688883893188 \tabularnewline
0.92 & 110.221307647347 & 0.186123809909383 \tabularnewline
0.93 & 110.301320828478 & 0.171253338449124 \tabularnewline
0.94 & 110.387734738441 & 0.179677152184022 \tabularnewline
0.95 & 110.486305323011 & 0.196277424963631 \tabularnewline
0.96 & 110.595708061308 & 0.199073525391662 \tabularnewline
0.97 & 110.70933958106 & 0.173346279560686 \tabularnewline
0.98 & 110.826216010204 & 0.137339979813914 \tabularnewline
0.99 & 110.952255272618 & 0.149339869004085 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282156&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]92.8701680290318[/C][C]1.16905375350467[/C][/ROW]
[ROW][C]0.02[/C][C]93.7270073671962[/C][C]0.671236104553547[/C][/ROW]
[ROW][C]0.03[/C][C]94.2722359083566[/C][C]0.476930605112797[/C][/ROW]
[ROW][C]0.04[/C][C]94.6344511303982[/C][C]0.544057993770997[/C][/ROW]
[ROW][C]0.05[/C][C]94.9650757092256[/C][C]0.694559092268133[/C][/ROW]
[ROW][C]0.06[/C][C]95.3148087138071[/C][C]0.795394629762473[/C][/ROW]
[ROW][C]0.07[/C][C]95.6699069963987[/C][C]0.795763296948166[/C][/ROW]
[ROW][C]0.08[/C][C]95.9983057602983[/C][C]0.711475077707599[/C][/ROW]
[ROW][C]0.09[/C][C]96.2778573186717[/C][C]0.5937383100568[/C][/ROW]
[ROW][C]0.1[/C][C]96.5053432201199[/C][C]0.493767791370136[/C][/ROW]
[ROW][C]0.11[/C][C]96.6920921624952[/C][C]0.440520275717069[/C][/ROW]
[ROW][C]0.12[/C][C]96.8546623817941[/C][C]0.433232810287707[/C][/ROW]
[ROW][C]0.13[/C][C]97.0070663725225[/C][C]0.451278275331306[/C][/ROW]
[ROW][C]0.14[/C][C]97.1571476573101[/C][C]0.472272441181684[/C][/ROW]
[ROW][C]0.15[/C][C]97.3067226231134[/C][C]0.482307455876828[/C][/ROW]
[ROW][C]0.16[/C][C]97.4538141046966[/C][C]0.476955304839034[/C][/ROW]
[ROW][C]0.17[/C][C]97.5952878956237[/C][C]0.459201027473665[/C][/ROW]
[ROW][C]0.18[/C][C]97.7287851689941[/C][C]0.43587775476377[/C][/ROW]
[ROW][C]0.19[/C][C]97.8535446208959[/C][C]0.413688227570889[/C][/ROW]
[ROW][C]0.2[/C][C]97.9702595756969[/C][C]0.396997612150495[/C][/ROW]
[ROW][C]0.21[/C][C]98.0804029108399[/C][C]0.386350291043533[/C][/ROW]
[ROW][C]0.22[/C][C]98.1854812782482[/C][C]0.379703495583694[/C][/ROW]
[ROW][C]0.23[/C][C]98.286534203503[/C][C]0.373969290629121[/C][/ROW]
[ROW][C]0.24[/C][C]98.3839858669325[/C][C]0.366687981698122[/C][/ROW]
[ROW][C]0.25[/C][C]98.477782944665[/C][C]0.356732833620034[/C][/ROW]
[ROW][C]0.26[/C][C]98.5676629987551[/C][C]0.344624075585767[/C][/ROW]
[ROW][C]0.27[/C][C]98.6533995703107[/C][C]0.331299376773228[/C][/ROW]
[ROW][C]0.28[/C][C]98.734932477181[/C][C]0.318121812943113[/C][/ROW]
[ROW][C]0.29[/C][C]98.8123710358664[/C][C]0.305571582646417[/C][/ROW]
[ROW][C]0.3[/C][C]98.8859169047389[/C][C]0.293727838009467[/C][/ROW]
[ROW][C]0.31[/C][C]98.9557741930996[/C][C]0.282046390276179[/C][/ROW]
[ROW][C]0.32[/C][C]99.0221003124974[/C][C]0.270402937344393[/C][/ROW]
[ROW][C]0.33[/C][C]99.0850178923438[/C][C]0.258495224536918[/C][/ROW]
[ROW][C]0.34[/C][C]99.1446746866634[/C][C]0.246763100562042[/C][/ROW]
[ROW][C]0.35[/C][C]99.2013179128833[/C][C]0.235737994219994[/C][/ROW]
[ROW][C]0.36[/C][C]99.2553462691238[/C][C]0.226773644079873[/C][/ROW]
[ROW][C]0.37[/C][C]99.3073139394901[/C][C]0.220575615975204[/C][/ROW]
[ROW][C]0.38[/C][C]99.3578793429862[/C][C]0.217649446253199[/C][/ROW]
[ROW][C]0.39[/C][C]99.4077099807486[/C][C]0.217577100805055[/C][/ROW]
[ROW][C]0.4[/C][C]99.4573680559017[/C][C]0.219960676800071[/C][/ROW]
[ROW][C]0.41[/C][C]99.5072067074095[/C][C]0.223258713110038[/C][/ROW]
[ROW][C]0.42[/C][C]99.5573033255452[/C][C]0.225975422037199[/C][/ROW]
[ROW][C]0.43[/C][C]99.6074462066524[/C][C]0.226776425297997[/C][/ROW]
[ROW][C]0.44[/C][C]99.6571770123585[/C][C]0.224471949193802[/C][/ROW]
[ROW][C]0.45[/C][C]99.7058781433077[/C][C]0.21870613225749[/C][/ROW]
[ROW][C]0.46[/C][C]99.7528849466004[/C][C]0.209735111967963[/C][/ROW]
[ROW][C]0.47[/C][C]99.7975999629556[/C][C]0.198012998941039[/C][/ROW]
[ROW][C]0.48[/C][C]99.8395903239395[/C][C]0.184486900394036[/C][/ROW]
[ROW][C]0.49[/C][C]99.8786578748842[/C][C]0.170253528767239[/C][/ROW]
[ROW][C]0.5[/C][C]99.9148811718375[/C][C]0.157230421415905[/C][/ROW]
[ROW][C]0.51[/C][C]99.9486356595033[/C][C]0.146257934517876[/C][/ROW]
[ROW][C]0.52[/C][C]99.9806008114833[/C][C]0.138995263614993[/C][/ROW]
[ROW][C]0.53[/C][C]100.011760564419[/C][C]0.136924136022725[/C][/ROW]
[ROW][C]0.54[/C][C]100.043397743152[/C][C]0.141325394580978[/C][/ROW]
[ROW][C]0.55[/C][C]100.077077247245[/C][C]0.153746040664789[/C][/ROW]
[ROW][C]0.56[/C][C]100.114609349949[/C][C]0.175122755983115[/C][/ROW]
[ROW][C]0.57[/C][C]100.157985097078[/C][C]0.205867047636181[/C][/ROW]
[ROW][C]0.58[/C][C]100.209280186163[/C][C]0.245715556451173[/C][/ROW]
[ROW][C]0.59[/C][C]100.27052995756[/C][C]0.294037552359073[/C][/ROW]
[ROW][C]0.6[/C][C]100.343583782667[/C][C]0.349400742953514[/C][/ROW]
[ROW][C]0.61[/C][C]100.429950580398[/C][C]0.409868010050727[/C][/ROW]
[ROW][C]0.62[/C][C]100.530648716804[/C][C]0.472997208623144[/C][/ROW]
[ROW][C]0.63[/C][C]100.646075307642[/C][C]0.535684495510295[/C][/ROW]
[ROW][C]0.64[/C][C]100.775914630708[/C][C]0.594678629231888[/C][/ROW]
[ROW][C]0.65[/C][C]100.919113963263[/C][C]0.646798764453516[/C][/ROW]
[ROW][C]0.66[/C][C]101.073965182596[/C][C]0.689145977005622[/C][/ROW]
[ROW][C]0.67[/C][C]101.238335761558[/C][C]0.720044677652753[/C][/ROW]
[ROW][C]0.68[/C][C]101.410085645399[/C][C]0.739885628883595[/C][/ROW]
[ROW][C]0.69[/C][C]101.587681015051[/C][C]0.751460033431258[/C][/ROW]
[ROW][C]0.7[/C][C]101.770970853124[/C][C]0.76195610983333[/C][/ROW]
[ROW][C]0.71[/C][C]101.962031638759[/C][C]0.781755000407335[/C][/ROW]
[ROW][C]0.72[/C][C]102.165917937873[/C][C]0.825241327143968[/C][/ROW]
[ROW][C]0.73[/C][C]102.391094670329[/C][C]0.90780112898249[/C][/ROW]
[ROW][C]0.74[/C][C]102.64928911984[/C][C]1.04259737508377[/C][/ROW]
[ROW][C]0.75[/C][C]102.954515368113[/C][C]1.23545944444343[/C][/ROW]
[ROW][C]0.76[/C][C]103.321126110337[/C][C]1.48192120703831[/C][/ROW]
[ROW][C]0.77[/C][C]103.760964043436[/C][C]1.76424956546625[/C][/ROW]
[ROW][C]0.78[/C][C]104.280006957146[/C][C]2.05316964817432[/C][/ROW]
[ROW][C]0.79[/C][C]104.875249553301[/C][C]2.30953483785988[/C][/ROW]
[ROW][C]0.8[/C][C]105.532792611941[/C][C]2.4909142571008[/C][/ROW]
[ROW][C]0.81[/C][C]106.228045938376[/C][C]2.56160790163926[/C][/ROW]
[ROW][C]0.82[/C][C]106.928498307022[/C][C]2.50130865972439[/C][/ROW]
[ROW][C]0.83[/C][C]107.598736679276[/C][C]2.31201506364758[/C][/ROW]
[ROW][C]0.84[/C][C]108.206571631935[/C][C]2.01837577225795[/C][/ROW]
[ROW][C]0.85[/C][C]108.728607889853[/C][C]1.66260901436063[/C][/ROW]
[ROW][C]0.86[/C][C]109.153667879042[/C][C]1.29318973153121[/C][/ROW]
[ROW][C]0.87[/C][C]109.483166002718[/C][C]0.953553606498039[/C][/ROW]
[ROW][C]0.88[/C][C]109.728588412778[/C][C]0.672929816996589[/C][/ROW]
[ROW][C]0.89[/C][C]109.907226764903[/C][C]0.463124330040921[/C][/ROW]
[ROW][C]0.9[/C][C]110.037828172752[/C][C]0.32050687222794[/C][/ROW]
[ROW][C]0.91[/C][C]110.137622708639[/C][C]0.232688883893188[/C][/ROW]
[ROW][C]0.92[/C][C]110.221307647347[/C][C]0.186123809909383[/C][/ROW]
[ROW][C]0.93[/C][C]110.301320828478[/C][C]0.171253338449124[/C][/ROW]
[ROW][C]0.94[/C][C]110.387734738441[/C][C]0.179677152184022[/C][/ROW]
[ROW][C]0.95[/C][C]110.486305323011[/C][C]0.196277424963631[/C][/ROW]
[ROW][C]0.96[/C][C]110.595708061308[/C][C]0.199073525391662[/C][/ROW]
[ROW][C]0.97[/C][C]110.70933958106[/C][C]0.173346279560686[/C][/ROW]
[ROW][C]0.98[/C][C]110.826216010204[/C][C]0.137339979813914[/C][/ROW]
[ROW][C]0.99[/C][C]110.952255272618[/C][C]0.149339869004085[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282156&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282156&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
0.0192.87016802903181.16905375350467
0.0293.72700736719620.671236104553547
0.0394.27223590835660.476930605112797
0.0494.63445113039820.544057993770997
0.0594.96507570922560.694559092268133
0.0695.31480871380710.795394629762473
0.0795.66990699639870.795763296948166
0.0895.99830576029830.711475077707599
0.0996.27785731867170.5937383100568
0.196.50534322011990.493767791370136
0.1196.69209216249520.440520275717069
0.1296.85466238179410.433232810287707
0.1397.00706637252250.451278275331306
0.1497.15714765731010.472272441181684
0.1597.30672262311340.482307455876828
0.1697.45381410469660.476955304839034
0.1797.59528789562370.459201027473665
0.1897.72878516899410.43587775476377
0.1997.85354462089590.413688227570889
0.297.97025957569690.396997612150495
0.2198.08040291083990.386350291043533
0.2298.18548127824820.379703495583694
0.2398.2865342035030.373969290629121
0.2498.38398586693250.366687981698122
0.2598.4777829446650.356732833620034
0.2698.56766299875510.344624075585767
0.2798.65339957031070.331299376773228
0.2898.7349324771810.318121812943113
0.2998.81237103586640.305571582646417
0.398.88591690473890.293727838009467
0.3198.95577419309960.282046390276179
0.3299.02210031249740.270402937344393
0.3399.08501789234380.258495224536918
0.3499.14467468666340.246763100562042
0.3599.20131791288330.235737994219994
0.3699.25534626912380.226773644079873
0.3799.30731393949010.220575615975204
0.3899.35787934298620.217649446253199
0.3999.40770998074860.217577100805055
0.499.45736805590170.219960676800071
0.4199.50720670740950.223258713110038
0.4299.55730332554520.225975422037199
0.4399.60744620665240.226776425297997
0.4499.65717701235850.224471949193802
0.4599.70587814330770.21870613225749
0.4699.75288494660040.209735111967963
0.4799.79759996295560.198012998941039
0.4899.83959032393950.184486900394036
0.4999.87865787488420.170253528767239
0.599.91488117183750.157230421415905
0.5199.94863565950330.146257934517876
0.5299.98060081148330.138995263614993
0.53100.0117605644190.136924136022725
0.54100.0433977431520.141325394580978
0.55100.0770772472450.153746040664789
0.56100.1146093499490.175122755983115
0.57100.1579850970780.205867047636181
0.58100.2092801861630.245715556451173
0.59100.270529957560.294037552359073
0.6100.3435837826670.349400742953514
0.61100.4299505803980.409868010050727
0.62100.5306487168040.472997208623144
0.63100.6460753076420.535684495510295
0.64100.7759146307080.594678629231888
0.65100.9191139632630.646798764453516
0.66101.0739651825960.689145977005622
0.67101.2383357615580.720044677652753
0.68101.4100856453990.739885628883595
0.69101.5876810150510.751460033431258
0.7101.7709708531240.76195610983333
0.71101.9620316387590.781755000407335
0.72102.1659179378730.825241327143968
0.73102.3910946703290.90780112898249
0.74102.649289119841.04259737508377
0.75102.9545153681131.23545944444343
0.76103.3211261103371.48192120703831
0.77103.7609640434361.76424956546625
0.78104.2800069571462.05316964817432
0.79104.8752495533012.30953483785988
0.8105.5327926119412.4909142571008
0.81106.2280459383762.56160790163926
0.82106.9284983070222.50130865972439
0.83107.5987366792762.31201506364758
0.84108.2065716319352.01837577225795
0.85108.7286078898531.66260901436063
0.86109.1536678790421.29318973153121
0.87109.4831660027180.953553606498039
0.88109.7285884127780.672929816996589
0.89109.9072267649030.463124330040921
0.9110.0378281727520.32050687222794
0.91110.1376227086390.232688883893188
0.92110.2213076473470.186123809909383
0.93110.3013208284780.171253338449124
0.94110.3877347384410.179677152184022
0.95110.4863053230110.196277424963631
0.96110.5957080613080.199073525391662
0.97110.709339581060.173346279560686
0.98110.8262160102040.137339979813914
0.99110.9522552726180.149339869004085


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')