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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 computationMon, 07 Mar 2016 16:32:29 +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/07/t1457368422z61v431g5zyguh7.htm/, Retrieved Wed, 01 May 2024 02:21:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293599, Retrieved Wed, 01 May 2024 02:21:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109

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] [] [2016-03-07 16:32:29] [b787349f7d799cee4daf21043f8c3664] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92,88
91,69
91,66
90,26
91,11
92,33
91,82
92,24
93,35
93,53
93,34
92,59
92,42
92,64
94,44
93,59
93,39
93,33
93,72
95,43
97,06
97,7
97,59
96,97
97,75
99,27
100,63
99,8
99,5
99,72
99,77
100,18
101,11
100,67
101,13
100,46
101,6
102,3
103,26
104,56
104,61
104,62
105,03
104,93
104,73
104,33
104,6
104,41
104,63
105,55
106,12
106,62
106,72
106,52
106,79
106,95
106,92
106,74
108,13
107,86

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=293599&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=293599&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293599&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
0.0190.46308049512810.754998395391331
0.0290.75961096265030.641220646388796
0.0391.06202436089860.529145117059854
0.0491.32186040391320.43823029073764
0.0591.52989434232470.378618636539756
0.0691.69644405215260.351544118003939
0.0791.8357472063990.3472757195212
0.0891.95899720031940.352488481263464
0.0992.07304543454120.358508928513193
0.192.18144096397060.362839850832094
0.1192.28589083770520.366677156869264
0.1292.38735080701110.372210842083852
0.1392.48658319597020.3805925961102
0.1492.58431062942680.391636407806929
0.1592.68118040371790.403974355262211
0.1692.77772108538280.416355715865165
0.1792.87438925086680.428417816798228
0.1892.97172017986540.441600500436381
0.1993.07053851258710.459036489995726
0.293.17216013325750.48525201394145
0.2193.2785196127060.525606740925582
0.2293.39217856005510.584309882094947
0.2393.51619925116040.664210419124393
0.2493.65389693142650.765191693749457
0.2593.80850771722910.884732233300009
0.2693.98282382904381.01820122422346
0.2794.17885268724731.15952963921754
0.2894.39755144821811.30163902052969
0.2994.63867538087881.43689894499393
0.394.90075964129981.55820615005957
0.3195.18123280837371.66022039595194
0.3295.47664064906731.738476605976
0.3395.7829434034051.7910411274254
0.3496.09584194445931.81784511155029
0.3596.4110885583411.82043229784027
0.3696.72474616787951.80168504956819
0.3797.03337337960931.76521564165613
0.3897.33412852586351.71502145735008
0.3997.62480044289441.65469906846601
0.497.90378423589021.58703051235458
0.4198.17002514997711.51483439477556
0.4298.42295281411481.43999359305137
0.4398.66242280479141.36447052022017
0.4498.88867476551191.29003817041962
0.4599.10230845751481.21841011655567
0.4699.30427290768841.1521308005369
0.4799.49586023893741.09314839346555
0.4899.678694889611.04399018569673
0.4999.85471011838671.00698180028806
0.5100.0261059797680.983946661353067
0.51100.1952854391230.976282291583068
0.52100.3647674355180.985023689672028
0.53100.5370774322461.00972152528566
0.54100.7146176451221.04921257908711
0.55100.8995211857371.10151308375886
0.56101.0934971408791.16311288055688
0.57101.2976770905411.22997588116047
0.58101.5124772202771.2972963238728
0.59101.7374930678591.35949891918844
0.6101.9714449343751.41109343097261
0.61102.2121901110111.44694676825969
0.62102.4568128394631.46249880037201
0.63102.701794585421.45452466552017
0.64102.9432568112211.42162736586895
0.65103.1772576875041.36416664483002
0.66103.4001150925621.28451239098135
0.67103.6087226615271.18680252519747
0.68103.8008247932191.07643269253387
0.69103.9752206722660.960274858025182
0.7104.1318757342720.845102141441522
0.71104.2719299311380.737962048303982
0.72104.3976035283360.644953739869473
0.73104.5120109839380.571807287053907
0.74104.6189003787170.522570995976636
0.75104.7223395697870.499114221038366
0.76104.8263714807780.500602563187891
0.77104.9346612219970.522992159684828
0.78105.0501586649890.560172015110287
0.79105.1748026092190.604849254052744
0.8105.3092963571770.649733303757766
0.81105.4529873398920.687644891301271
0.82105.6038821911890.712205038248958
0.83105.7588200637220.718390078848489
0.84105.9138092844780.703375355789223
0.85106.0645071745810.666551952660249
0.86106.2067957782530.610508155583493
0.87106.3373869379590.539961264454569
0.88106.4543892035350.461845285457962
0.89106.5577919967480.384092440288541
0.9106.6498600982820.315062225282805
0.91106.735449605020.263614889090864
0.92106.8221949883210.239563051105634
0.93106.9203198778530.252768035632496
0.94107.0415187335930.306259596748663
0.95107.1961551026020.389039578661386
0.96107.3883358090840.47285175743066
0.97107.6096387158610.513819000319869
0.98107.8343707160460.472830099466195
0.99108.0215671123660.360753022812867

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 90.4630804951281 & 0.754998395391331 \tabularnewline
0.02 & 90.7596109626503 & 0.641220646388796 \tabularnewline
0.03 & 91.0620243608986 & 0.529145117059854 \tabularnewline
0.04 & 91.3218604039132 & 0.43823029073764 \tabularnewline
0.05 & 91.5298943423247 & 0.378618636539756 \tabularnewline
0.06 & 91.6964440521526 & 0.351544118003939 \tabularnewline
0.07 & 91.835747206399 & 0.3472757195212 \tabularnewline
0.08 & 91.9589972003194 & 0.352488481263464 \tabularnewline
0.09 & 92.0730454345412 & 0.358508928513193 \tabularnewline
0.1 & 92.1814409639706 & 0.362839850832094 \tabularnewline
0.11 & 92.2858908377052 & 0.366677156869264 \tabularnewline
0.12 & 92.3873508070111 & 0.372210842083852 \tabularnewline
0.13 & 92.4865831959702 & 0.3805925961102 \tabularnewline
0.14 & 92.5843106294268 & 0.391636407806929 \tabularnewline
0.15 & 92.6811804037179 & 0.403974355262211 \tabularnewline
0.16 & 92.7777210853828 & 0.416355715865165 \tabularnewline
0.17 & 92.8743892508668 & 0.428417816798228 \tabularnewline
0.18 & 92.9717201798654 & 0.441600500436381 \tabularnewline
0.19 & 93.0705385125871 & 0.459036489995726 \tabularnewline
0.2 & 93.1721601332575 & 0.48525201394145 \tabularnewline
0.21 & 93.278519612706 & 0.525606740925582 \tabularnewline
0.22 & 93.3921785600551 & 0.584309882094947 \tabularnewline
0.23 & 93.5161992511604 & 0.664210419124393 \tabularnewline
0.24 & 93.6538969314265 & 0.765191693749457 \tabularnewline
0.25 & 93.8085077172291 & 0.884732233300009 \tabularnewline
0.26 & 93.9828238290438 & 1.01820122422346 \tabularnewline
0.27 & 94.1788526872473 & 1.15952963921754 \tabularnewline
0.28 & 94.3975514482181 & 1.30163902052969 \tabularnewline
0.29 & 94.6386753808788 & 1.43689894499393 \tabularnewline
0.3 & 94.9007596412998 & 1.55820615005957 \tabularnewline
0.31 & 95.1812328083737 & 1.66022039595194 \tabularnewline
0.32 & 95.4766406490673 & 1.738476605976 \tabularnewline
0.33 & 95.782943403405 & 1.7910411274254 \tabularnewline
0.34 & 96.0958419444593 & 1.81784511155029 \tabularnewline
0.35 & 96.411088558341 & 1.82043229784027 \tabularnewline
0.36 & 96.7247461678795 & 1.80168504956819 \tabularnewline
0.37 & 97.0333733796093 & 1.76521564165613 \tabularnewline
0.38 & 97.3341285258635 & 1.71502145735008 \tabularnewline
0.39 & 97.6248004428944 & 1.65469906846601 \tabularnewline
0.4 & 97.9037842358902 & 1.58703051235458 \tabularnewline
0.41 & 98.1700251499771 & 1.51483439477556 \tabularnewline
0.42 & 98.4229528141148 & 1.43999359305137 \tabularnewline
0.43 & 98.6624228047914 & 1.36447052022017 \tabularnewline
0.44 & 98.8886747655119 & 1.29003817041962 \tabularnewline
0.45 & 99.1023084575148 & 1.21841011655567 \tabularnewline
0.46 & 99.3042729076884 & 1.1521308005369 \tabularnewline
0.47 & 99.4958602389374 & 1.09314839346555 \tabularnewline
0.48 & 99.67869488961 & 1.04399018569673 \tabularnewline
0.49 & 99.8547101183867 & 1.00698180028806 \tabularnewline
0.5 & 100.026105979768 & 0.983946661353067 \tabularnewline
0.51 & 100.195285439123 & 0.976282291583068 \tabularnewline
0.52 & 100.364767435518 & 0.985023689672028 \tabularnewline
0.53 & 100.537077432246 & 1.00972152528566 \tabularnewline
0.54 & 100.714617645122 & 1.04921257908711 \tabularnewline
0.55 & 100.899521185737 & 1.10151308375886 \tabularnewline
0.56 & 101.093497140879 & 1.16311288055688 \tabularnewline
0.57 & 101.297677090541 & 1.22997588116047 \tabularnewline
0.58 & 101.512477220277 & 1.2972963238728 \tabularnewline
0.59 & 101.737493067859 & 1.35949891918844 \tabularnewline
0.6 & 101.971444934375 & 1.41109343097261 \tabularnewline
0.61 & 102.212190111011 & 1.44694676825969 \tabularnewline
0.62 & 102.456812839463 & 1.46249880037201 \tabularnewline
0.63 & 102.70179458542 & 1.45452466552017 \tabularnewline
0.64 & 102.943256811221 & 1.42162736586895 \tabularnewline
0.65 & 103.177257687504 & 1.36416664483002 \tabularnewline
0.66 & 103.400115092562 & 1.28451239098135 \tabularnewline
0.67 & 103.608722661527 & 1.18680252519747 \tabularnewline
0.68 & 103.800824793219 & 1.07643269253387 \tabularnewline
0.69 & 103.975220672266 & 0.960274858025182 \tabularnewline
0.7 & 104.131875734272 & 0.845102141441522 \tabularnewline
0.71 & 104.271929931138 & 0.737962048303982 \tabularnewline
0.72 & 104.397603528336 & 0.644953739869473 \tabularnewline
0.73 & 104.512010983938 & 0.571807287053907 \tabularnewline
0.74 & 104.618900378717 & 0.522570995976636 \tabularnewline
0.75 & 104.722339569787 & 0.499114221038366 \tabularnewline
0.76 & 104.826371480778 & 0.500602563187891 \tabularnewline
0.77 & 104.934661221997 & 0.522992159684828 \tabularnewline
0.78 & 105.050158664989 & 0.560172015110287 \tabularnewline
0.79 & 105.174802609219 & 0.604849254052744 \tabularnewline
0.8 & 105.309296357177 & 0.649733303757766 \tabularnewline
0.81 & 105.452987339892 & 0.687644891301271 \tabularnewline
0.82 & 105.603882191189 & 0.712205038248958 \tabularnewline
0.83 & 105.758820063722 & 0.718390078848489 \tabularnewline
0.84 & 105.913809284478 & 0.703375355789223 \tabularnewline
0.85 & 106.064507174581 & 0.666551952660249 \tabularnewline
0.86 & 106.206795778253 & 0.610508155583493 \tabularnewline
0.87 & 106.337386937959 & 0.539961264454569 \tabularnewline
0.88 & 106.454389203535 & 0.461845285457962 \tabularnewline
0.89 & 106.557791996748 & 0.384092440288541 \tabularnewline
0.9 & 106.649860098282 & 0.315062225282805 \tabularnewline
0.91 & 106.73544960502 & 0.263614889090864 \tabularnewline
0.92 & 106.822194988321 & 0.239563051105634 \tabularnewline
0.93 & 106.920319877853 & 0.252768035632496 \tabularnewline
0.94 & 107.041518733593 & 0.306259596748663 \tabularnewline
0.95 & 107.196155102602 & 0.389039578661386 \tabularnewline
0.96 & 107.388335809084 & 0.47285175743066 \tabularnewline
0.97 & 107.609638715861 & 0.513819000319869 \tabularnewline
0.98 & 107.834370716046 & 0.472830099466195 \tabularnewline
0.99 & 108.021567112366 & 0.360753022812867 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293599&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]90.4630804951281[/C][C]0.754998395391331[/C][/ROW]
[ROW][C]0.02[/C][C]90.7596109626503[/C][C]0.641220646388796[/C][/ROW]
[ROW][C]0.03[/C][C]91.0620243608986[/C][C]0.529145117059854[/C][/ROW]
[ROW][C]0.04[/C][C]91.3218604039132[/C][C]0.43823029073764[/C][/ROW]
[ROW][C]0.05[/C][C]91.5298943423247[/C][C]0.378618636539756[/C][/ROW]
[ROW][C]0.06[/C][C]91.6964440521526[/C][C]0.351544118003939[/C][/ROW]
[ROW][C]0.07[/C][C]91.835747206399[/C][C]0.3472757195212[/C][/ROW]
[ROW][C]0.08[/C][C]91.9589972003194[/C][C]0.352488481263464[/C][/ROW]
[ROW][C]0.09[/C][C]92.0730454345412[/C][C]0.358508928513193[/C][/ROW]
[ROW][C]0.1[/C][C]92.1814409639706[/C][C]0.362839850832094[/C][/ROW]
[ROW][C]0.11[/C][C]92.2858908377052[/C][C]0.366677156869264[/C][/ROW]
[ROW][C]0.12[/C][C]92.3873508070111[/C][C]0.372210842083852[/C][/ROW]
[ROW][C]0.13[/C][C]92.4865831959702[/C][C]0.3805925961102[/C][/ROW]
[ROW][C]0.14[/C][C]92.5843106294268[/C][C]0.391636407806929[/C][/ROW]
[ROW][C]0.15[/C][C]92.6811804037179[/C][C]0.403974355262211[/C][/ROW]
[ROW][C]0.16[/C][C]92.7777210853828[/C][C]0.416355715865165[/C][/ROW]
[ROW][C]0.17[/C][C]92.8743892508668[/C][C]0.428417816798228[/C][/ROW]
[ROW][C]0.18[/C][C]92.9717201798654[/C][C]0.441600500436381[/C][/ROW]
[ROW][C]0.19[/C][C]93.0705385125871[/C][C]0.459036489995726[/C][/ROW]
[ROW][C]0.2[/C][C]93.1721601332575[/C][C]0.48525201394145[/C][/ROW]
[ROW][C]0.21[/C][C]93.278519612706[/C][C]0.525606740925582[/C][/ROW]
[ROW][C]0.22[/C][C]93.3921785600551[/C][C]0.584309882094947[/C][/ROW]
[ROW][C]0.23[/C][C]93.5161992511604[/C][C]0.664210419124393[/C][/ROW]
[ROW][C]0.24[/C][C]93.6538969314265[/C][C]0.765191693749457[/C][/ROW]
[ROW][C]0.25[/C][C]93.8085077172291[/C][C]0.884732233300009[/C][/ROW]
[ROW][C]0.26[/C][C]93.9828238290438[/C][C]1.01820122422346[/C][/ROW]
[ROW][C]0.27[/C][C]94.1788526872473[/C][C]1.15952963921754[/C][/ROW]
[ROW][C]0.28[/C][C]94.3975514482181[/C][C]1.30163902052969[/C][/ROW]
[ROW][C]0.29[/C][C]94.6386753808788[/C][C]1.43689894499393[/C][/ROW]
[ROW][C]0.3[/C][C]94.9007596412998[/C][C]1.55820615005957[/C][/ROW]
[ROW][C]0.31[/C][C]95.1812328083737[/C][C]1.66022039595194[/C][/ROW]
[ROW][C]0.32[/C][C]95.4766406490673[/C][C]1.738476605976[/C][/ROW]
[ROW][C]0.33[/C][C]95.782943403405[/C][C]1.7910411274254[/C][/ROW]
[ROW][C]0.34[/C][C]96.0958419444593[/C][C]1.81784511155029[/C][/ROW]
[ROW][C]0.35[/C][C]96.411088558341[/C][C]1.82043229784027[/C][/ROW]
[ROW][C]0.36[/C][C]96.7247461678795[/C][C]1.80168504956819[/C][/ROW]
[ROW][C]0.37[/C][C]97.0333733796093[/C][C]1.76521564165613[/C][/ROW]
[ROW][C]0.38[/C][C]97.3341285258635[/C][C]1.71502145735008[/C][/ROW]
[ROW][C]0.39[/C][C]97.6248004428944[/C][C]1.65469906846601[/C][/ROW]
[ROW][C]0.4[/C][C]97.9037842358902[/C][C]1.58703051235458[/C][/ROW]
[ROW][C]0.41[/C][C]98.1700251499771[/C][C]1.51483439477556[/C][/ROW]
[ROW][C]0.42[/C][C]98.4229528141148[/C][C]1.43999359305137[/C][/ROW]
[ROW][C]0.43[/C][C]98.6624228047914[/C][C]1.36447052022017[/C][/ROW]
[ROW][C]0.44[/C][C]98.8886747655119[/C][C]1.29003817041962[/C][/ROW]
[ROW][C]0.45[/C][C]99.1023084575148[/C][C]1.21841011655567[/C][/ROW]
[ROW][C]0.46[/C][C]99.3042729076884[/C][C]1.1521308005369[/C][/ROW]
[ROW][C]0.47[/C][C]99.4958602389374[/C][C]1.09314839346555[/C][/ROW]
[ROW][C]0.48[/C][C]99.67869488961[/C][C]1.04399018569673[/C][/ROW]
[ROW][C]0.49[/C][C]99.8547101183867[/C][C]1.00698180028806[/C][/ROW]
[ROW][C]0.5[/C][C]100.026105979768[/C][C]0.983946661353067[/C][/ROW]
[ROW][C]0.51[/C][C]100.195285439123[/C][C]0.976282291583068[/C][/ROW]
[ROW][C]0.52[/C][C]100.364767435518[/C][C]0.985023689672028[/C][/ROW]
[ROW][C]0.53[/C][C]100.537077432246[/C][C]1.00972152528566[/C][/ROW]
[ROW][C]0.54[/C][C]100.714617645122[/C][C]1.04921257908711[/C][/ROW]
[ROW][C]0.55[/C][C]100.899521185737[/C][C]1.10151308375886[/C][/ROW]
[ROW][C]0.56[/C][C]101.093497140879[/C][C]1.16311288055688[/C][/ROW]
[ROW][C]0.57[/C][C]101.297677090541[/C][C]1.22997588116047[/C][/ROW]
[ROW][C]0.58[/C][C]101.512477220277[/C][C]1.2972963238728[/C][/ROW]
[ROW][C]0.59[/C][C]101.737493067859[/C][C]1.35949891918844[/C][/ROW]
[ROW][C]0.6[/C][C]101.971444934375[/C][C]1.41109343097261[/C][/ROW]
[ROW][C]0.61[/C][C]102.212190111011[/C][C]1.44694676825969[/C][/ROW]
[ROW][C]0.62[/C][C]102.456812839463[/C][C]1.46249880037201[/C][/ROW]
[ROW][C]0.63[/C][C]102.70179458542[/C][C]1.45452466552017[/C][/ROW]
[ROW][C]0.64[/C][C]102.943256811221[/C][C]1.42162736586895[/C][/ROW]
[ROW][C]0.65[/C][C]103.177257687504[/C][C]1.36416664483002[/C][/ROW]
[ROW][C]0.66[/C][C]103.400115092562[/C][C]1.28451239098135[/C][/ROW]
[ROW][C]0.67[/C][C]103.608722661527[/C][C]1.18680252519747[/C][/ROW]
[ROW][C]0.68[/C][C]103.800824793219[/C][C]1.07643269253387[/C][/ROW]
[ROW][C]0.69[/C][C]103.975220672266[/C][C]0.960274858025182[/C][/ROW]
[ROW][C]0.7[/C][C]104.131875734272[/C][C]0.845102141441522[/C][/ROW]
[ROW][C]0.71[/C][C]104.271929931138[/C][C]0.737962048303982[/C][/ROW]
[ROW][C]0.72[/C][C]104.397603528336[/C][C]0.644953739869473[/C][/ROW]
[ROW][C]0.73[/C][C]104.512010983938[/C][C]0.571807287053907[/C][/ROW]
[ROW][C]0.74[/C][C]104.618900378717[/C][C]0.522570995976636[/C][/ROW]
[ROW][C]0.75[/C][C]104.722339569787[/C][C]0.499114221038366[/C][/ROW]
[ROW][C]0.76[/C][C]104.826371480778[/C][C]0.500602563187891[/C][/ROW]
[ROW][C]0.77[/C][C]104.934661221997[/C][C]0.522992159684828[/C][/ROW]
[ROW][C]0.78[/C][C]105.050158664989[/C][C]0.560172015110287[/C][/ROW]
[ROW][C]0.79[/C][C]105.174802609219[/C][C]0.604849254052744[/C][/ROW]
[ROW][C]0.8[/C][C]105.309296357177[/C][C]0.649733303757766[/C][/ROW]
[ROW][C]0.81[/C][C]105.452987339892[/C][C]0.687644891301271[/C][/ROW]
[ROW][C]0.82[/C][C]105.603882191189[/C][C]0.712205038248958[/C][/ROW]
[ROW][C]0.83[/C][C]105.758820063722[/C][C]0.718390078848489[/C][/ROW]
[ROW][C]0.84[/C][C]105.913809284478[/C][C]0.703375355789223[/C][/ROW]
[ROW][C]0.85[/C][C]106.064507174581[/C][C]0.666551952660249[/C][/ROW]
[ROW][C]0.86[/C][C]106.206795778253[/C][C]0.610508155583493[/C][/ROW]
[ROW][C]0.87[/C][C]106.337386937959[/C][C]0.539961264454569[/C][/ROW]
[ROW][C]0.88[/C][C]106.454389203535[/C][C]0.461845285457962[/C][/ROW]
[ROW][C]0.89[/C][C]106.557791996748[/C][C]0.384092440288541[/C][/ROW]
[ROW][C]0.9[/C][C]106.649860098282[/C][C]0.315062225282805[/C][/ROW]
[ROW][C]0.91[/C][C]106.73544960502[/C][C]0.263614889090864[/C][/ROW]
[ROW][C]0.92[/C][C]106.822194988321[/C][C]0.239563051105634[/C][/ROW]
[ROW][C]0.93[/C][C]106.920319877853[/C][C]0.252768035632496[/C][/ROW]
[ROW][C]0.94[/C][C]107.041518733593[/C][C]0.306259596748663[/C][/ROW]
[ROW][C]0.95[/C][C]107.196155102602[/C][C]0.389039578661386[/C][/ROW]
[ROW][C]0.96[/C][C]107.388335809084[/C][C]0.47285175743066[/C][/ROW]
[ROW][C]0.97[/C][C]107.609638715861[/C][C]0.513819000319869[/C][/ROW]
[ROW][C]0.98[/C][C]107.834370716046[/C][C]0.472830099466195[/C][/ROW]
[ROW][C]0.99[/C][C]108.021567112366[/C][C]0.360753022812867[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293599&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293599&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
0.0190.46308049512810.754998395391331
0.0290.75961096265030.641220646388796
0.0391.06202436089860.529145117059854
0.0491.32186040391320.43823029073764
0.0591.52989434232470.378618636539756
0.0691.69644405215260.351544118003939
0.0791.8357472063990.3472757195212
0.0891.95899720031940.352488481263464
0.0992.07304543454120.358508928513193
0.192.18144096397060.362839850832094
0.1192.28589083770520.366677156869264
0.1292.38735080701110.372210842083852
0.1392.48658319597020.3805925961102
0.1492.58431062942680.391636407806929
0.1592.68118040371790.403974355262211
0.1692.77772108538280.416355715865165
0.1792.87438925086680.428417816798228
0.1892.97172017986540.441600500436381
0.1993.07053851258710.459036489995726
0.293.17216013325750.48525201394145
0.2193.2785196127060.525606740925582
0.2293.39217856005510.584309882094947
0.2393.51619925116040.664210419124393
0.2493.65389693142650.765191693749457
0.2593.80850771722910.884732233300009
0.2693.98282382904381.01820122422346
0.2794.17885268724731.15952963921754
0.2894.39755144821811.30163902052969
0.2994.63867538087881.43689894499393
0.394.90075964129981.55820615005957
0.3195.18123280837371.66022039595194
0.3295.47664064906731.738476605976
0.3395.7829434034051.7910411274254
0.3496.09584194445931.81784511155029
0.3596.4110885583411.82043229784027
0.3696.72474616787951.80168504956819
0.3797.03337337960931.76521564165613
0.3897.33412852586351.71502145735008
0.3997.62480044289441.65469906846601
0.497.90378423589021.58703051235458
0.4198.17002514997711.51483439477556
0.4298.42295281411481.43999359305137
0.4398.66242280479141.36447052022017
0.4498.88867476551191.29003817041962
0.4599.10230845751481.21841011655567
0.4699.30427290768841.1521308005369
0.4799.49586023893741.09314839346555
0.4899.678694889611.04399018569673
0.4999.85471011838671.00698180028806
0.5100.0261059797680.983946661353067
0.51100.1952854391230.976282291583068
0.52100.3647674355180.985023689672028
0.53100.5370774322461.00972152528566
0.54100.7146176451221.04921257908711
0.55100.8995211857371.10151308375886
0.56101.0934971408791.16311288055688
0.57101.2976770905411.22997588116047
0.58101.5124772202771.2972963238728
0.59101.7374930678591.35949891918844
0.6101.9714449343751.41109343097261
0.61102.2121901110111.44694676825969
0.62102.4568128394631.46249880037201
0.63102.701794585421.45452466552017
0.64102.9432568112211.42162736586895
0.65103.1772576875041.36416664483002
0.66103.4001150925621.28451239098135
0.67103.6087226615271.18680252519747
0.68103.8008247932191.07643269253387
0.69103.9752206722660.960274858025182
0.7104.1318757342720.845102141441522
0.71104.2719299311380.737962048303982
0.72104.3976035283360.644953739869473
0.73104.5120109839380.571807287053907
0.74104.6189003787170.522570995976636
0.75104.7223395697870.499114221038366
0.76104.8263714807780.500602563187891
0.77104.9346612219970.522992159684828
0.78105.0501586649890.560172015110287
0.79105.1748026092190.604849254052744
0.8105.3092963571770.649733303757766
0.81105.4529873398920.687644891301271
0.82105.6038821911890.712205038248958
0.83105.7588200637220.718390078848489
0.84105.9138092844780.703375355789223
0.85106.0645071745810.666551952660249
0.86106.2067957782530.610508155583493
0.87106.3373869379590.539961264454569
0.88106.4543892035350.461845285457962
0.89106.5577919967480.384092440288541
0.9106.6498600982820.315062225282805
0.91106.735449605020.263614889090864
0.92106.8221949883210.239563051105634
0.93106.9203198778530.252768035632496
0.94107.0415187335930.306259596748663
0.95107.1961551026020.389039578661386
0.96107.3883358090840.47285175743066
0.97107.6096387158610.513819000319869
0.98107.8343707160460.472830099466195
0.99108.0215671123660.360753022812867


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')