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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 13:42:49 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/27/t1225136729lz703m1799ybbnm.htm/, Retrieved Sun, 19 May 2024 12:58:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19498, Retrieved Sun, 19 May 2024 12:58:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact135

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Q7 95% confidence...] [2007-10-20 15:02:46] [b731da8b544846036771bbf9bf2f34ce]
F    D  [Harrell-Davis Quantiles] [Investigating ass...] [2008-10-19 15:57:18] [cbd3d88cd5aad6543e769146e7e26b0c]
-   PD    [Harrell-Davis Quantiles] [] [2008-10-27 19:15:56] [2a30350413961f11db13c46be07a5f73]
-   P         [Harrell-Davis Quantiles] [] [2008-10-27 19:42:49] [c60a842d48931bd392d024d8e9ef4583] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
110.40
96.40
101.90
106.20
81.00
94.70
101.00
109.40
102.30
90.70
96.20
96.10
106.00
103.10
102.00
104.70
86.00
92.10
106.90
112.60
101.70
92.00
97.40
97.00
105.40
102.70
98.10
104.50
87.40
89.90
109.80
111.70
98.60
96.90
95.10
97.00
112.70
102.90
97.40
111.40
87.40
96.80
114.10
110.30
103.90
101.60
94.60
95.90
104.70
102.80
98.10
113.90
80.90
95.70
113.20
105.90
108.80
102.30
99.00
100.70
115.50

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19498&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19498&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19498&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.99115.1874515095041.16727894055484
0.9901115.191494940951.16981358871302
0.9902115.1955248951741.17234865310957
0.9903115.1995412106001.1748857494036
0.9904115.2035437255451.17741532687657
0.9905115.2075322782361.17993993636226
0.9906115.2115067068291.18245749373143
0.9907115.2154668494241.18496974122912
0.9908115.2194125440831.18748263738920
0.9909115.2233436288471.18998898611407
0.991115.2272599417541.19248875124227
0.9911115.2311613208591.19498219457598
0.9912115.2350476042461.19746993525463
0.9913115.2389186300521.19995851130555
0.9914115.2427742364861.20243267688327
0.9915115.2466142618391.20490140982213
0.9916115.2504385445151.20737049754469
0.9917115.2542469230371.20983270975107
0.9918115.2580392360781.21228829809175
0.9919115.2618153224711.21473106083649
0.992115.2655750212341.21716681941095
0.9921115.2693181715861.21960947594435
0.9922115.2730446129711.22203228209158
0.9923115.2767541850711.22444838639158
0.9924115.2804467278351.22686441616024
0.9925115.2841220814911.22926730520748
0.9926115.2877800865721.23166270457802
0.9927115.2914205839321.23405161799188
0.9928115.2950434147721.23643414528550
0.9929115.2986484206571.23880875118871
0.993115.3022354435361.24117086727040
0.9931115.3058043257691.24353237327242
0.9932115.3093549101411.24588005507898
0.9933115.3128870398901.24821407616826
0.9934115.3164005587241.25054714307999
0.9935115.3198953108441.25286801664258
0.9936115.3233711409691.25517992606783
0.9937115.3268278943541.25747943012859
0.9938115.3302654168131.25977780260410
0.9939115.3336835547441.26205577451691
0.994115.3370821551491.26432620111486
0.9941115.3404610656581.26658940914955
0.9942115.3438201345491.26883825389402
0.9943115.3471592107761.27108732867134
0.9944115.3504781439881.27331545657911
0.9945115.3537767845551.27554258992082
0.9946115.3570549835861.27774927207388
0.9947115.3603125929601.27994805582647
0.9948115.3635494653461.28213284181119
0.9949115.3667654542231.28431036921296
0.995115.3699604139111.28647309799155
0.9951115.3731341995901.28862880241369
0.9952115.3762866673241.29077016067319
0.9953115.3794176740901.29290352977697
0.9954115.3825270777961.29501627991793
0.9955115.3856147373091.29712821399804
0.9956115.388680512481.29921829544760
0.9957115.3917242641651.30130133474742
0.9958115.3947458542541.30336964349226
0.9959115.3977451456921.30542273546866
0.996115.4007220025081.30746972194911
0.9961115.4036762898371.30949417176015
0.9962115.4066078739431.3115108862285
0.9963115.4095166222511.31351997359227
0.9964115.4124024033651.31550077268294
0.9965115.4152650870991.3174805431196
0.9966115.4181045444951.31943909390041
0.9967115.4209206478591.32138971580719
0.9968115.4237132707771.32331843187078
0.9969115.4264822881451.32524661583172
0.997115.4292275761931.32714587079958
0.9971115.4319490125141.32904435090551
0.9972115.4346464760841.33091359457707
0.9973115.4373198472921.33277560987914
0.9974115.4399690079671.33462273716152
0.9975115.4425938413981.33645464318886
0.9976115.4451942323671.33827892075760
0.9977115.4477700671691.34007458955665
0.9978115.4503212336401.34186214664094
0.9979115.4528476211871.34363359953851
0.998115.4553491208061.34538488101216
0.9981115.4578256251141.34712754121381
0.9982115.4602770283751.34885499053879
0.9983115.4627032265231.35056048661445
0.9984115.4651041171891.35225094868672
0.9985115.4674795997271.35392713908985
0.9986115.4698295752441.35558721562408
0.9987115.4721539466181.35723260623029
0.9988115.4744526185311.35885578952044
0.9989115.4767254974931.36046429172052
0.999115.4789724918661.36205760626135
0.9991115.4811935118921.36363536731011
0.9992115.4833884697181.36519804310656
0.9993115.4855572794231.36673887800926
0.9994115.4876998570431.36825758485300
0.9995115.4898161205951.36977521775710
0.9996115.4919059901051.37125647153134
0.9997115.4939693876361.37273663229449
0.9998115.4960062373061.37418727705326
0.9999115.4980164653221.37563004911619

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.99 & 115.187451509504 & 1.16727894055484 \tabularnewline
0.9901 & 115.19149494095 & 1.16981358871302 \tabularnewline
0.9902 & 115.195524895174 & 1.17234865310957 \tabularnewline
0.9903 & 115.199541210600 & 1.1748857494036 \tabularnewline
0.9904 & 115.203543725545 & 1.17741532687657 \tabularnewline
0.9905 & 115.207532278236 & 1.17993993636226 \tabularnewline
0.9906 & 115.211506706829 & 1.18245749373143 \tabularnewline
0.9907 & 115.215466849424 & 1.18496974122912 \tabularnewline
0.9908 & 115.219412544083 & 1.18748263738920 \tabularnewline
0.9909 & 115.223343628847 & 1.18998898611407 \tabularnewline
0.991 & 115.227259941754 & 1.19248875124227 \tabularnewline
0.9911 & 115.231161320859 & 1.19498219457598 \tabularnewline
0.9912 & 115.235047604246 & 1.19746993525463 \tabularnewline
0.9913 & 115.238918630052 & 1.19995851130555 \tabularnewline
0.9914 & 115.242774236486 & 1.20243267688327 \tabularnewline
0.9915 & 115.246614261839 & 1.20490140982213 \tabularnewline
0.9916 & 115.250438544515 & 1.20737049754469 \tabularnewline
0.9917 & 115.254246923037 & 1.20983270975107 \tabularnewline
0.9918 & 115.258039236078 & 1.21228829809175 \tabularnewline
0.9919 & 115.261815322471 & 1.21473106083649 \tabularnewline
0.992 & 115.265575021234 & 1.21716681941095 \tabularnewline
0.9921 & 115.269318171586 & 1.21960947594435 \tabularnewline
0.9922 & 115.273044612971 & 1.22203228209158 \tabularnewline
0.9923 & 115.276754185071 & 1.22444838639158 \tabularnewline
0.9924 & 115.280446727835 & 1.22686441616024 \tabularnewline
0.9925 & 115.284122081491 & 1.22926730520748 \tabularnewline
0.9926 & 115.287780086572 & 1.23166270457802 \tabularnewline
0.9927 & 115.291420583932 & 1.23405161799188 \tabularnewline
0.9928 & 115.295043414772 & 1.23643414528550 \tabularnewline
0.9929 & 115.298648420657 & 1.23880875118871 \tabularnewline
0.993 & 115.302235443536 & 1.24117086727040 \tabularnewline
0.9931 & 115.305804325769 & 1.24353237327242 \tabularnewline
0.9932 & 115.309354910141 & 1.24588005507898 \tabularnewline
0.9933 & 115.312887039890 & 1.24821407616826 \tabularnewline
0.9934 & 115.316400558724 & 1.25054714307999 \tabularnewline
0.9935 & 115.319895310844 & 1.25286801664258 \tabularnewline
0.9936 & 115.323371140969 & 1.25517992606783 \tabularnewline
0.9937 & 115.326827894354 & 1.25747943012859 \tabularnewline
0.9938 & 115.330265416813 & 1.25977780260410 \tabularnewline
0.9939 & 115.333683554744 & 1.26205577451691 \tabularnewline
0.994 & 115.337082155149 & 1.26432620111486 \tabularnewline
0.9941 & 115.340461065658 & 1.26658940914955 \tabularnewline
0.9942 & 115.343820134549 & 1.26883825389402 \tabularnewline
0.9943 & 115.347159210776 & 1.27108732867134 \tabularnewline
0.9944 & 115.350478143988 & 1.27331545657911 \tabularnewline
0.9945 & 115.353776784555 & 1.27554258992082 \tabularnewline
0.9946 & 115.357054983586 & 1.27774927207388 \tabularnewline
0.9947 & 115.360312592960 & 1.27994805582647 \tabularnewline
0.9948 & 115.363549465346 & 1.28213284181119 \tabularnewline
0.9949 & 115.366765454223 & 1.28431036921296 \tabularnewline
0.995 & 115.369960413911 & 1.28647309799155 \tabularnewline
0.9951 & 115.373134199590 & 1.28862880241369 \tabularnewline
0.9952 & 115.376286667324 & 1.29077016067319 \tabularnewline
0.9953 & 115.379417674090 & 1.29290352977697 \tabularnewline
0.9954 & 115.382527077796 & 1.29501627991793 \tabularnewline
0.9955 & 115.385614737309 & 1.29712821399804 \tabularnewline
0.9956 & 115.38868051248 & 1.29921829544760 \tabularnewline
0.9957 & 115.391724264165 & 1.30130133474742 \tabularnewline
0.9958 & 115.394745854254 & 1.30336964349226 \tabularnewline
0.9959 & 115.397745145692 & 1.30542273546866 \tabularnewline
0.996 & 115.400722002508 & 1.30746972194911 \tabularnewline
0.9961 & 115.403676289837 & 1.30949417176015 \tabularnewline
0.9962 & 115.406607873943 & 1.3115108862285 \tabularnewline
0.9963 & 115.409516622251 & 1.31351997359227 \tabularnewline
0.9964 & 115.412402403365 & 1.31550077268294 \tabularnewline
0.9965 & 115.415265087099 & 1.3174805431196 \tabularnewline
0.9966 & 115.418104544495 & 1.31943909390041 \tabularnewline
0.9967 & 115.420920647859 & 1.32138971580719 \tabularnewline
0.9968 & 115.423713270777 & 1.32331843187078 \tabularnewline
0.9969 & 115.426482288145 & 1.32524661583172 \tabularnewline
0.997 & 115.429227576193 & 1.32714587079958 \tabularnewline
0.9971 & 115.431949012514 & 1.32904435090551 \tabularnewline
0.9972 & 115.434646476084 & 1.33091359457707 \tabularnewline
0.9973 & 115.437319847292 & 1.33277560987914 \tabularnewline
0.9974 & 115.439969007967 & 1.33462273716152 \tabularnewline
0.9975 & 115.442593841398 & 1.33645464318886 \tabularnewline
0.9976 & 115.445194232367 & 1.33827892075760 \tabularnewline
0.9977 & 115.447770067169 & 1.34007458955665 \tabularnewline
0.9978 & 115.450321233640 & 1.34186214664094 \tabularnewline
0.9979 & 115.452847621187 & 1.34363359953851 \tabularnewline
0.998 & 115.455349120806 & 1.34538488101216 \tabularnewline
0.9981 & 115.457825625114 & 1.34712754121381 \tabularnewline
0.9982 & 115.460277028375 & 1.34885499053879 \tabularnewline
0.9983 & 115.462703226523 & 1.35056048661445 \tabularnewline
0.9984 & 115.465104117189 & 1.35225094868672 \tabularnewline
0.9985 & 115.467479599727 & 1.35392713908985 \tabularnewline
0.9986 & 115.469829575244 & 1.35558721562408 \tabularnewline
0.9987 & 115.472153946618 & 1.35723260623029 \tabularnewline
0.9988 & 115.474452618531 & 1.35885578952044 \tabularnewline
0.9989 & 115.476725497493 & 1.36046429172052 \tabularnewline
0.999 & 115.478972491866 & 1.36205760626135 \tabularnewline
0.9991 & 115.481193511892 & 1.36363536731011 \tabularnewline
0.9992 & 115.483388469718 & 1.36519804310656 \tabularnewline
0.9993 & 115.485557279423 & 1.36673887800926 \tabularnewline
0.9994 & 115.487699857043 & 1.36825758485300 \tabularnewline
0.9995 & 115.489816120595 & 1.36977521775710 \tabularnewline
0.9996 & 115.491905990105 & 1.37125647153134 \tabularnewline
0.9997 & 115.493969387636 & 1.37273663229449 \tabularnewline
0.9998 & 115.496006237306 & 1.37418727705326 \tabularnewline
0.9999 & 115.498016465322 & 1.37563004911619 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19498&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.99[/C][C]115.187451509504[/C][C]1.16727894055484[/C][/ROW]
[ROW][C]0.9901[/C][C]115.19149494095[/C][C]1.16981358871302[/C][/ROW]
[ROW][C]0.9902[/C][C]115.195524895174[/C][C]1.17234865310957[/C][/ROW]
[ROW][C]0.9903[/C][C]115.199541210600[/C][C]1.1748857494036[/C][/ROW]
[ROW][C]0.9904[/C][C]115.203543725545[/C][C]1.17741532687657[/C][/ROW]
[ROW][C]0.9905[/C][C]115.207532278236[/C][C]1.17993993636226[/C][/ROW]
[ROW][C]0.9906[/C][C]115.211506706829[/C][C]1.18245749373143[/C][/ROW]
[ROW][C]0.9907[/C][C]115.215466849424[/C][C]1.18496974122912[/C][/ROW]
[ROW][C]0.9908[/C][C]115.219412544083[/C][C]1.18748263738920[/C][/ROW]
[ROW][C]0.9909[/C][C]115.223343628847[/C][C]1.18998898611407[/C][/ROW]
[ROW][C]0.991[/C][C]115.227259941754[/C][C]1.19248875124227[/C][/ROW]
[ROW][C]0.9911[/C][C]115.231161320859[/C][C]1.19498219457598[/C][/ROW]
[ROW][C]0.9912[/C][C]115.235047604246[/C][C]1.19746993525463[/C][/ROW]
[ROW][C]0.9913[/C][C]115.238918630052[/C][C]1.19995851130555[/C][/ROW]
[ROW][C]0.9914[/C][C]115.242774236486[/C][C]1.20243267688327[/C][/ROW]
[ROW][C]0.9915[/C][C]115.246614261839[/C][C]1.20490140982213[/C][/ROW]
[ROW][C]0.9916[/C][C]115.250438544515[/C][C]1.20737049754469[/C][/ROW]
[ROW][C]0.9917[/C][C]115.254246923037[/C][C]1.20983270975107[/C][/ROW]
[ROW][C]0.9918[/C][C]115.258039236078[/C][C]1.21228829809175[/C][/ROW]
[ROW][C]0.9919[/C][C]115.261815322471[/C][C]1.21473106083649[/C][/ROW]
[ROW][C]0.992[/C][C]115.265575021234[/C][C]1.21716681941095[/C][/ROW]
[ROW][C]0.9921[/C][C]115.269318171586[/C][C]1.21960947594435[/C][/ROW]
[ROW][C]0.9922[/C][C]115.273044612971[/C][C]1.22203228209158[/C][/ROW]
[ROW][C]0.9923[/C][C]115.276754185071[/C][C]1.22444838639158[/C][/ROW]
[ROW][C]0.9924[/C][C]115.280446727835[/C][C]1.22686441616024[/C][/ROW]
[ROW][C]0.9925[/C][C]115.284122081491[/C][C]1.22926730520748[/C][/ROW]
[ROW][C]0.9926[/C][C]115.287780086572[/C][C]1.23166270457802[/C][/ROW]
[ROW][C]0.9927[/C][C]115.291420583932[/C][C]1.23405161799188[/C][/ROW]
[ROW][C]0.9928[/C][C]115.295043414772[/C][C]1.23643414528550[/C][/ROW]
[ROW][C]0.9929[/C][C]115.298648420657[/C][C]1.23880875118871[/C][/ROW]
[ROW][C]0.993[/C][C]115.302235443536[/C][C]1.24117086727040[/C][/ROW]
[ROW][C]0.9931[/C][C]115.305804325769[/C][C]1.24353237327242[/C][/ROW]
[ROW][C]0.9932[/C][C]115.309354910141[/C][C]1.24588005507898[/C][/ROW]
[ROW][C]0.9933[/C][C]115.312887039890[/C][C]1.24821407616826[/C][/ROW]
[ROW][C]0.9934[/C][C]115.316400558724[/C][C]1.25054714307999[/C][/ROW]
[ROW][C]0.9935[/C][C]115.319895310844[/C][C]1.25286801664258[/C][/ROW]
[ROW][C]0.9936[/C][C]115.323371140969[/C][C]1.25517992606783[/C][/ROW]
[ROW][C]0.9937[/C][C]115.326827894354[/C][C]1.25747943012859[/C][/ROW]
[ROW][C]0.9938[/C][C]115.330265416813[/C][C]1.25977780260410[/C][/ROW]
[ROW][C]0.9939[/C][C]115.333683554744[/C][C]1.26205577451691[/C][/ROW]
[ROW][C]0.994[/C][C]115.337082155149[/C][C]1.26432620111486[/C][/ROW]
[ROW][C]0.9941[/C][C]115.340461065658[/C][C]1.26658940914955[/C][/ROW]
[ROW][C]0.9942[/C][C]115.343820134549[/C][C]1.26883825389402[/C][/ROW]
[ROW][C]0.9943[/C][C]115.347159210776[/C][C]1.27108732867134[/C][/ROW]
[ROW][C]0.9944[/C][C]115.350478143988[/C][C]1.27331545657911[/C][/ROW]
[ROW][C]0.9945[/C][C]115.353776784555[/C][C]1.27554258992082[/C][/ROW]
[ROW][C]0.9946[/C][C]115.357054983586[/C][C]1.27774927207388[/C][/ROW]
[ROW][C]0.9947[/C][C]115.360312592960[/C][C]1.27994805582647[/C][/ROW]
[ROW][C]0.9948[/C][C]115.363549465346[/C][C]1.28213284181119[/C][/ROW]
[ROW][C]0.9949[/C][C]115.366765454223[/C][C]1.28431036921296[/C][/ROW]
[ROW][C]0.995[/C][C]115.369960413911[/C][C]1.28647309799155[/C][/ROW]
[ROW][C]0.9951[/C][C]115.373134199590[/C][C]1.28862880241369[/C][/ROW]
[ROW][C]0.9952[/C][C]115.376286667324[/C][C]1.29077016067319[/C][/ROW]
[ROW][C]0.9953[/C][C]115.379417674090[/C][C]1.29290352977697[/C][/ROW]
[ROW][C]0.9954[/C][C]115.382527077796[/C][C]1.29501627991793[/C][/ROW]
[ROW][C]0.9955[/C][C]115.385614737309[/C][C]1.29712821399804[/C][/ROW]
[ROW][C]0.9956[/C][C]115.38868051248[/C][C]1.29921829544760[/C][/ROW]
[ROW][C]0.9957[/C][C]115.391724264165[/C][C]1.30130133474742[/C][/ROW]
[ROW][C]0.9958[/C][C]115.394745854254[/C][C]1.30336964349226[/C][/ROW]
[ROW][C]0.9959[/C][C]115.397745145692[/C][C]1.30542273546866[/C][/ROW]
[ROW][C]0.996[/C][C]115.400722002508[/C][C]1.30746972194911[/C][/ROW]
[ROW][C]0.9961[/C][C]115.403676289837[/C][C]1.30949417176015[/C][/ROW]
[ROW][C]0.9962[/C][C]115.406607873943[/C][C]1.3115108862285[/C][/ROW]
[ROW][C]0.9963[/C][C]115.409516622251[/C][C]1.31351997359227[/C][/ROW]
[ROW][C]0.9964[/C][C]115.412402403365[/C][C]1.31550077268294[/C][/ROW]
[ROW][C]0.9965[/C][C]115.415265087099[/C][C]1.3174805431196[/C][/ROW]
[ROW][C]0.9966[/C][C]115.418104544495[/C][C]1.31943909390041[/C][/ROW]
[ROW][C]0.9967[/C][C]115.420920647859[/C][C]1.32138971580719[/C][/ROW]
[ROW][C]0.9968[/C][C]115.423713270777[/C][C]1.32331843187078[/C][/ROW]
[ROW][C]0.9969[/C][C]115.426482288145[/C][C]1.32524661583172[/C][/ROW]
[ROW][C]0.997[/C][C]115.429227576193[/C][C]1.32714587079958[/C][/ROW]
[ROW][C]0.9971[/C][C]115.431949012514[/C][C]1.32904435090551[/C][/ROW]
[ROW][C]0.9972[/C][C]115.434646476084[/C][C]1.33091359457707[/C][/ROW]
[ROW][C]0.9973[/C][C]115.437319847292[/C][C]1.33277560987914[/C][/ROW]
[ROW][C]0.9974[/C][C]115.439969007967[/C][C]1.33462273716152[/C][/ROW]
[ROW][C]0.9975[/C][C]115.442593841398[/C][C]1.33645464318886[/C][/ROW]
[ROW][C]0.9976[/C][C]115.445194232367[/C][C]1.33827892075760[/C][/ROW]
[ROW][C]0.9977[/C][C]115.447770067169[/C][C]1.34007458955665[/C][/ROW]
[ROW][C]0.9978[/C][C]115.450321233640[/C][C]1.34186214664094[/C][/ROW]
[ROW][C]0.9979[/C][C]115.452847621187[/C][C]1.34363359953851[/C][/ROW]
[ROW][C]0.998[/C][C]115.455349120806[/C][C]1.34538488101216[/C][/ROW]
[ROW][C]0.9981[/C][C]115.457825625114[/C][C]1.34712754121381[/C][/ROW]
[ROW][C]0.9982[/C][C]115.460277028375[/C][C]1.34885499053879[/C][/ROW]
[ROW][C]0.9983[/C][C]115.462703226523[/C][C]1.35056048661445[/C][/ROW]
[ROW][C]0.9984[/C][C]115.465104117189[/C][C]1.35225094868672[/C][/ROW]
[ROW][C]0.9985[/C][C]115.467479599727[/C][C]1.35392713908985[/C][/ROW]
[ROW][C]0.9986[/C][C]115.469829575244[/C][C]1.35558721562408[/C][/ROW]
[ROW][C]0.9987[/C][C]115.472153946618[/C][C]1.35723260623029[/C][/ROW]
[ROW][C]0.9988[/C][C]115.474452618531[/C][C]1.35885578952044[/C][/ROW]
[ROW][C]0.9989[/C][C]115.476725497493[/C][C]1.36046429172052[/C][/ROW]
[ROW][C]0.999[/C][C]115.478972491866[/C][C]1.36205760626135[/C][/ROW]
[ROW][C]0.9991[/C][C]115.481193511892[/C][C]1.36363536731011[/C][/ROW]
[ROW][C]0.9992[/C][C]115.483388469718[/C][C]1.36519804310656[/C][/ROW]
[ROW][C]0.9993[/C][C]115.485557279423[/C][C]1.36673887800926[/C][/ROW]
[ROW][C]0.9994[/C][C]115.487699857043[/C][C]1.36825758485300[/C][/ROW]
[ROW][C]0.9995[/C][C]115.489816120595[/C][C]1.36977521775710[/C][/ROW]
[ROW][C]0.9996[/C][C]115.491905990105[/C][C]1.37125647153134[/C][/ROW]
[ROW][C]0.9997[/C][C]115.493969387636[/C][C]1.37273663229449[/C][/ROW]
[ROW][C]0.9998[/C][C]115.496006237306[/C][C]1.37418727705326[/C][/ROW]
[ROW][C]0.9999[/C][C]115.498016465322[/C][C]1.37563004911619[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19498&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19498&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
0.99115.1874515095041.16727894055484
0.9901115.191494940951.16981358871302
0.9902115.1955248951741.17234865310957
0.9903115.1995412106001.1748857494036
0.9904115.2035437255451.17741532687657
0.9905115.2075322782361.17993993636226
0.9906115.2115067068291.18245749373143
0.9907115.2154668494241.18496974122912
0.9908115.2194125440831.18748263738920
0.9909115.2233436288471.18998898611407
0.991115.2272599417541.19248875124227
0.9911115.2311613208591.19498219457598
0.9912115.2350476042461.19746993525463
0.9913115.2389186300521.19995851130555
0.9914115.2427742364861.20243267688327
0.9915115.2466142618391.20490140982213
0.9916115.2504385445151.20737049754469
0.9917115.2542469230371.20983270975107
0.9918115.2580392360781.21228829809175
0.9919115.2618153224711.21473106083649
0.992115.2655750212341.21716681941095
0.9921115.2693181715861.21960947594435
0.9922115.2730446129711.22203228209158
0.9923115.2767541850711.22444838639158
0.9924115.2804467278351.22686441616024
0.9925115.2841220814911.22926730520748
0.9926115.2877800865721.23166270457802
0.9927115.2914205839321.23405161799188
0.9928115.2950434147721.23643414528550
0.9929115.2986484206571.23880875118871
0.993115.3022354435361.24117086727040
0.9931115.3058043257691.24353237327242
0.9932115.3093549101411.24588005507898
0.9933115.3128870398901.24821407616826
0.9934115.3164005587241.25054714307999
0.9935115.3198953108441.25286801664258
0.9936115.3233711409691.25517992606783
0.9937115.3268278943541.25747943012859
0.9938115.3302654168131.25977780260410
0.9939115.3336835547441.26205577451691
0.994115.3370821551491.26432620111486
0.9941115.3404610656581.26658940914955
0.9942115.3438201345491.26883825389402
0.9943115.3471592107761.27108732867134
0.9944115.3504781439881.27331545657911
0.9945115.3537767845551.27554258992082
0.9946115.3570549835861.27774927207388
0.9947115.3603125929601.27994805582647
0.9948115.3635494653461.28213284181119
0.9949115.3667654542231.28431036921296
0.995115.3699604139111.28647309799155
0.9951115.3731341995901.28862880241369
0.9952115.3762866673241.29077016067319
0.9953115.3794176740901.29290352977697
0.9954115.3825270777961.29501627991793
0.9955115.3856147373091.29712821399804
0.9956115.388680512481.29921829544760
0.9957115.3917242641651.30130133474742
0.9958115.3947458542541.30336964349226
0.9959115.3977451456921.30542273546866
0.996115.4007220025081.30746972194911
0.9961115.4036762898371.30949417176015
0.9962115.4066078739431.3115108862285
0.9963115.4095166222511.31351997359227
0.9964115.4124024033651.31550077268294
0.9965115.4152650870991.3174805431196
0.9966115.4181045444951.31943909390041
0.9967115.4209206478591.32138971580719
0.9968115.4237132707771.32331843187078
0.9969115.4264822881451.32524661583172
0.997115.4292275761931.32714587079958
0.9971115.4319490125141.32904435090551
0.9972115.4346464760841.33091359457707
0.9973115.4373198472921.33277560987914
0.9974115.4399690079671.33462273716152
0.9975115.4425938413981.33645464318886
0.9976115.4451942323671.33827892075760
0.9977115.4477700671691.34007458955665
0.9978115.4503212336401.34186214664094
0.9979115.4528476211871.34363359953851
0.998115.4553491208061.34538488101216
0.9981115.4578256251141.34712754121381
0.9982115.4602770283751.34885499053879
0.9983115.4627032265231.35056048661445
0.9984115.4651041171891.35225094868672
0.9985115.4674795997271.35392713908985
0.9986115.4698295752441.35558721562408
0.9987115.4721539466181.35723260623029
0.9988115.4744526185311.35885578952044
0.9989115.4767254974931.36046429172052
0.999115.4789724918661.36205760626135
0.9991115.4811935118921.36363536731011
0.9992115.4833884697181.36519804310656
0.9993115.4855572794231.36673887800926
0.9994115.4876998570431.36825758485300
0.9995115.4898161205951.36977521775710
0.9996115.4919059901051.37125647153134
0.9997115.4939693876361.37273663229449
0.9998115.4960062373061.37418727705326
0.9999115.4980164653221.37563004911619


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.99 ; par2 = 0.9999 ; par3 = 0.0001 ;
Parameters (R input):
par1 = 0.99 ; par2 = 0.9999 ; par3 = 0.0001 ;
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')