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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 computationFri, 03 Oct 2014 16:32:54 +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/2014/Oct/03/t14123504175cmzbomlvljb78x.htm/, Retrieved Fri, 10 May 2024 14:32:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238470, Retrieved Fri, 10 May 2024 14:32:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact137

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] [] [2014-10-03 15:32:54] [bdd4dd5e616b71837cf1c04213e8fe07] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
204,12
203,27
203,73
203,7
203,44
203,34
203,34
203,05
202,71
202,51
203,45
203,04
203,04
202,87
202,92
202,87
203,17
203,88
203,88
203,45
203,22
202,11
202,5
202,86
202,86
203,8
203,78
204,53
204,44
204,14
204,14
204,04
204,68
205,01
204,93
204,34
204,34
203,87
202,47
201,95
201,86
200,33
200,33
200,33
200,75
201,86
202,77
202,85
202,85
202,84
202,94
203,05
203,45
204,19
204,18
204,47
204,78
206,05
206,32
206,36
205,21
205,35
205,94
204,57
204,27
204,86
204,66
204,79
205,58
205,63
205,12
204,96

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238470&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238470&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238470&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01200.350176459640.070013377659825
0.02200.4170377391620.22398341167457
0.03200.5501913097210.417842420205653
0.04200.7486485513780.58131759798076
0.05200.9913004753910.666318932217635
0.06201.2480770658070.666890202684419
0.07201.4925414271570.610040015810159
0.08201.7089762258670.531747605035462
0.09201.8927259766090.45926949995558
0.1202.0464859012720.403890211728536
0.11202.1758995954490.363594460642233
0.12202.2864909349360.331975427300915
0.13202.3823484059230.303445812736952
0.14202.4660472171520.275265076599243
0.15202.5391070596590.247051731096067
0.16202.6025003512550.218636102790162
0.17202.6570104022130.191145371629346
0.18202.7034243535440.16520677002811
0.19202.7426136949110.141226191030625
0.2202.7755531992950.12040945699913
0.21202.803306661240.103319857509817
0.22202.8269913409690.0905517947041268
0.23202.8477278377670.0827206531818042
0.24202.8665834249850.0795613945125636
0.25202.8845187342160.0804736499726025
0.26202.9023469794740.0850191049585025
0.27202.9207115438150.0914598369064744
0.28202.9400831551350.0995993798774181
0.29202.9607736934160.108480504136054
0.3202.9829609911640.117497342191173
0.31203.0067181897820.126653415488948
0.32203.0320420885880.135668315542434
0.33203.0588768943040.144072264632929
0.34203.0871321163970.152101020724096
0.35203.1166953609940.159484193577011
0.36203.1474419496570.166160253115354
0.37203.1792434274580.172091613324587
0.38203.2119762590210.177300604485933
0.39203.2455307434860.181915206306437
0.4203.2798189422240.186130579359706
0.41203.3147796933380.190190430690723
0.42203.3503788711250.193950538251729
0.43203.3866039368680.197972001916405
0.44203.4234532421390.201897855610802
0.45203.4609220272290.205852681655382
0.46203.4989881147610.21015416643927
0.47203.5376005688710.213395495920808
0.48203.5766739552140.216091660802269
0.49203.6160894630430.217873050783836
0.5203.6557024388630.218498350089386
0.51203.6953543414660.218128018318266
0.52203.7348862167170.216649379644005
0.53203.7741507614890.214345083009249
0.54203.8130208690340.211368311666339
0.55203.8513939175060.207887978156702
0.56203.8891925026130.204047771520135
0.57203.9263633387020.200068072842587
0.58203.9628763314580.195788497652317
0.59203.9987252997080.191334588458837
0.6204.0339307189960.187055549579084
0.61204.0685436018620.182875292979486
0.62204.1026486911760.179256134574445
0.63204.1363648723140.176119989414843
0.64204.1698412112630.173951715028461
0.65204.203248127960.172576116297091
0.66204.2367645414460.172261160644035
0.67204.2705629364040.172725942608755
0.68204.3047948545320.173959316843214
0.69204.3395791740520.175601364103006
0.7204.374994814220.177326248227908
0.71204.4110784825930.179077654299149
0.72204.4478271324070.180439921941129
0.73204.4852042129070.181386545025949
0.74204.5231487162230.181917789825953
0.75204.5615864032070.181538805704666
0.76204.600443233320.180696231568298
0.77204.6396616649420.179384052394846
0.78204.6792208708510.177762391015262
0.79204.7191618126040.175879752380946
0.8204.7596173723080.174324231331281
0.81204.8008462407730.173311117965058
0.82204.8432670006240.173874273537882
0.83204.8874860505260.176424536886874
0.84204.9343103553390.181829307687907
0.85204.9847347304610.190659509218767
0.86205.039895193250.202970136217639
0.87205.100986286660.2185166462842
0.88205.1691509103840.236582146401541
0.89205.2453625227140.255529905880342
0.9205.3303250048140.273637633522518
0.91205.4244090374690.289197268836982
0.92205.5276246598990.30074411746925
0.93205.6395979873780.30690904576486
0.94205.7594612304680.30644922625587
0.95205.8854564035730.298016472892422
0.96206.0139653208610.279372750844558
0.97206.1379388767530.244875984062825
0.98206.2457483370370.185228429848467
0.99206.3230124916090.102638325810517

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 200.35017645964 & 0.070013377659825 \tabularnewline
0.02 & 200.417037739162 & 0.22398341167457 \tabularnewline
0.03 & 200.550191309721 & 0.417842420205653 \tabularnewline
0.04 & 200.748648551378 & 0.58131759798076 \tabularnewline
0.05 & 200.991300475391 & 0.666318932217635 \tabularnewline
0.06 & 201.248077065807 & 0.666890202684419 \tabularnewline
0.07 & 201.492541427157 & 0.610040015810159 \tabularnewline
0.08 & 201.708976225867 & 0.531747605035462 \tabularnewline
0.09 & 201.892725976609 & 0.45926949995558 \tabularnewline
0.1 & 202.046485901272 & 0.403890211728536 \tabularnewline
0.11 & 202.175899595449 & 0.363594460642233 \tabularnewline
0.12 & 202.286490934936 & 0.331975427300915 \tabularnewline
0.13 & 202.382348405923 & 0.303445812736952 \tabularnewline
0.14 & 202.466047217152 & 0.275265076599243 \tabularnewline
0.15 & 202.539107059659 & 0.247051731096067 \tabularnewline
0.16 & 202.602500351255 & 0.218636102790162 \tabularnewline
0.17 & 202.657010402213 & 0.191145371629346 \tabularnewline
0.18 & 202.703424353544 & 0.16520677002811 \tabularnewline
0.19 & 202.742613694911 & 0.141226191030625 \tabularnewline
0.2 & 202.775553199295 & 0.12040945699913 \tabularnewline
0.21 & 202.80330666124 & 0.103319857509817 \tabularnewline
0.22 & 202.826991340969 & 0.0905517947041268 \tabularnewline
0.23 & 202.847727837767 & 0.0827206531818042 \tabularnewline
0.24 & 202.866583424985 & 0.0795613945125636 \tabularnewline
0.25 & 202.884518734216 & 0.0804736499726025 \tabularnewline
0.26 & 202.902346979474 & 0.0850191049585025 \tabularnewline
0.27 & 202.920711543815 & 0.0914598369064744 \tabularnewline
0.28 & 202.940083155135 & 0.0995993798774181 \tabularnewline
0.29 & 202.960773693416 & 0.108480504136054 \tabularnewline
0.3 & 202.982960991164 & 0.117497342191173 \tabularnewline
0.31 & 203.006718189782 & 0.126653415488948 \tabularnewline
0.32 & 203.032042088588 & 0.135668315542434 \tabularnewline
0.33 & 203.058876894304 & 0.144072264632929 \tabularnewline
0.34 & 203.087132116397 & 0.152101020724096 \tabularnewline
0.35 & 203.116695360994 & 0.159484193577011 \tabularnewline
0.36 & 203.147441949657 & 0.166160253115354 \tabularnewline
0.37 & 203.179243427458 & 0.172091613324587 \tabularnewline
0.38 & 203.211976259021 & 0.177300604485933 \tabularnewline
0.39 & 203.245530743486 & 0.181915206306437 \tabularnewline
0.4 & 203.279818942224 & 0.186130579359706 \tabularnewline
0.41 & 203.314779693338 & 0.190190430690723 \tabularnewline
0.42 & 203.350378871125 & 0.193950538251729 \tabularnewline
0.43 & 203.386603936868 & 0.197972001916405 \tabularnewline
0.44 & 203.423453242139 & 0.201897855610802 \tabularnewline
0.45 & 203.460922027229 & 0.205852681655382 \tabularnewline
0.46 & 203.498988114761 & 0.21015416643927 \tabularnewline
0.47 & 203.537600568871 & 0.213395495920808 \tabularnewline
0.48 & 203.576673955214 & 0.216091660802269 \tabularnewline
0.49 & 203.616089463043 & 0.217873050783836 \tabularnewline
0.5 & 203.655702438863 & 0.218498350089386 \tabularnewline
0.51 & 203.695354341466 & 0.218128018318266 \tabularnewline
0.52 & 203.734886216717 & 0.216649379644005 \tabularnewline
0.53 & 203.774150761489 & 0.214345083009249 \tabularnewline
0.54 & 203.813020869034 & 0.211368311666339 \tabularnewline
0.55 & 203.851393917506 & 0.207887978156702 \tabularnewline
0.56 & 203.889192502613 & 0.204047771520135 \tabularnewline
0.57 & 203.926363338702 & 0.200068072842587 \tabularnewline
0.58 & 203.962876331458 & 0.195788497652317 \tabularnewline
0.59 & 203.998725299708 & 0.191334588458837 \tabularnewline
0.6 & 204.033930718996 & 0.187055549579084 \tabularnewline
0.61 & 204.068543601862 & 0.182875292979486 \tabularnewline
0.62 & 204.102648691176 & 0.179256134574445 \tabularnewline
0.63 & 204.136364872314 & 0.176119989414843 \tabularnewline
0.64 & 204.169841211263 & 0.173951715028461 \tabularnewline
0.65 & 204.20324812796 & 0.172576116297091 \tabularnewline
0.66 & 204.236764541446 & 0.172261160644035 \tabularnewline
0.67 & 204.270562936404 & 0.172725942608755 \tabularnewline
0.68 & 204.304794854532 & 0.173959316843214 \tabularnewline
0.69 & 204.339579174052 & 0.175601364103006 \tabularnewline
0.7 & 204.37499481422 & 0.177326248227908 \tabularnewline
0.71 & 204.411078482593 & 0.179077654299149 \tabularnewline
0.72 & 204.447827132407 & 0.180439921941129 \tabularnewline
0.73 & 204.485204212907 & 0.181386545025949 \tabularnewline
0.74 & 204.523148716223 & 0.181917789825953 \tabularnewline
0.75 & 204.561586403207 & 0.181538805704666 \tabularnewline
0.76 & 204.60044323332 & 0.180696231568298 \tabularnewline
0.77 & 204.639661664942 & 0.179384052394846 \tabularnewline
0.78 & 204.679220870851 & 0.177762391015262 \tabularnewline
0.79 & 204.719161812604 & 0.175879752380946 \tabularnewline
0.8 & 204.759617372308 & 0.174324231331281 \tabularnewline
0.81 & 204.800846240773 & 0.173311117965058 \tabularnewline
0.82 & 204.843267000624 & 0.173874273537882 \tabularnewline
0.83 & 204.887486050526 & 0.176424536886874 \tabularnewline
0.84 & 204.934310355339 & 0.181829307687907 \tabularnewline
0.85 & 204.984734730461 & 0.190659509218767 \tabularnewline
0.86 & 205.03989519325 & 0.202970136217639 \tabularnewline
0.87 & 205.10098628666 & 0.2185166462842 \tabularnewline
0.88 & 205.169150910384 & 0.236582146401541 \tabularnewline
0.89 & 205.245362522714 & 0.255529905880342 \tabularnewline
0.9 & 205.330325004814 & 0.273637633522518 \tabularnewline
0.91 & 205.424409037469 & 0.289197268836982 \tabularnewline
0.92 & 205.527624659899 & 0.30074411746925 \tabularnewline
0.93 & 205.639597987378 & 0.30690904576486 \tabularnewline
0.94 & 205.759461230468 & 0.30644922625587 \tabularnewline
0.95 & 205.885456403573 & 0.298016472892422 \tabularnewline
0.96 & 206.013965320861 & 0.279372750844558 \tabularnewline
0.97 & 206.137938876753 & 0.244875984062825 \tabularnewline
0.98 & 206.245748337037 & 0.185228429848467 \tabularnewline
0.99 & 206.323012491609 & 0.102638325810517 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238470&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]200.35017645964[/C][C]0.070013377659825[/C][/ROW]
[ROW][C]0.02[/C][C]200.417037739162[/C][C]0.22398341167457[/C][/ROW]
[ROW][C]0.03[/C][C]200.550191309721[/C][C]0.417842420205653[/C][/ROW]
[ROW][C]0.04[/C][C]200.748648551378[/C][C]0.58131759798076[/C][/ROW]
[ROW][C]0.05[/C][C]200.991300475391[/C][C]0.666318932217635[/C][/ROW]
[ROW][C]0.06[/C][C]201.248077065807[/C][C]0.666890202684419[/C][/ROW]
[ROW][C]0.07[/C][C]201.492541427157[/C][C]0.610040015810159[/C][/ROW]
[ROW][C]0.08[/C][C]201.708976225867[/C][C]0.531747605035462[/C][/ROW]
[ROW][C]0.09[/C][C]201.892725976609[/C][C]0.45926949995558[/C][/ROW]
[ROW][C]0.1[/C][C]202.046485901272[/C][C]0.403890211728536[/C][/ROW]
[ROW][C]0.11[/C][C]202.175899595449[/C][C]0.363594460642233[/C][/ROW]
[ROW][C]0.12[/C][C]202.286490934936[/C][C]0.331975427300915[/C][/ROW]
[ROW][C]0.13[/C][C]202.382348405923[/C][C]0.303445812736952[/C][/ROW]
[ROW][C]0.14[/C][C]202.466047217152[/C][C]0.275265076599243[/C][/ROW]
[ROW][C]0.15[/C][C]202.539107059659[/C][C]0.247051731096067[/C][/ROW]
[ROW][C]0.16[/C][C]202.602500351255[/C][C]0.218636102790162[/C][/ROW]
[ROW][C]0.17[/C][C]202.657010402213[/C][C]0.191145371629346[/C][/ROW]
[ROW][C]0.18[/C][C]202.703424353544[/C][C]0.16520677002811[/C][/ROW]
[ROW][C]0.19[/C][C]202.742613694911[/C][C]0.141226191030625[/C][/ROW]
[ROW][C]0.2[/C][C]202.775553199295[/C][C]0.12040945699913[/C][/ROW]
[ROW][C]0.21[/C][C]202.80330666124[/C][C]0.103319857509817[/C][/ROW]
[ROW][C]0.22[/C][C]202.826991340969[/C][C]0.0905517947041268[/C][/ROW]
[ROW][C]0.23[/C][C]202.847727837767[/C][C]0.0827206531818042[/C][/ROW]
[ROW][C]0.24[/C][C]202.866583424985[/C][C]0.0795613945125636[/C][/ROW]
[ROW][C]0.25[/C][C]202.884518734216[/C][C]0.0804736499726025[/C][/ROW]
[ROW][C]0.26[/C][C]202.902346979474[/C][C]0.0850191049585025[/C][/ROW]
[ROW][C]0.27[/C][C]202.920711543815[/C][C]0.0914598369064744[/C][/ROW]
[ROW][C]0.28[/C][C]202.940083155135[/C][C]0.0995993798774181[/C][/ROW]
[ROW][C]0.29[/C][C]202.960773693416[/C][C]0.108480504136054[/C][/ROW]
[ROW][C]0.3[/C][C]202.982960991164[/C][C]0.117497342191173[/C][/ROW]
[ROW][C]0.31[/C][C]203.006718189782[/C][C]0.126653415488948[/C][/ROW]
[ROW][C]0.32[/C][C]203.032042088588[/C][C]0.135668315542434[/C][/ROW]
[ROW][C]0.33[/C][C]203.058876894304[/C][C]0.144072264632929[/C][/ROW]
[ROW][C]0.34[/C][C]203.087132116397[/C][C]0.152101020724096[/C][/ROW]
[ROW][C]0.35[/C][C]203.116695360994[/C][C]0.159484193577011[/C][/ROW]
[ROW][C]0.36[/C][C]203.147441949657[/C][C]0.166160253115354[/C][/ROW]
[ROW][C]0.37[/C][C]203.179243427458[/C][C]0.172091613324587[/C][/ROW]
[ROW][C]0.38[/C][C]203.211976259021[/C][C]0.177300604485933[/C][/ROW]
[ROW][C]0.39[/C][C]203.245530743486[/C][C]0.181915206306437[/C][/ROW]
[ROW][C]0.4[/C][C]203.279818942224[/C][C]0.186130579359706[/C][/ROW]
[ROW][C]0.41[/C][C]203.314779693338[/C][C]0.190190430690723[/C][/ROW]
[ROW][C]0.42[/C][C]203.350378871125[/C][C]0.193950538251729[/C][/ROW]
[ROW][C]0.43[/C][C]203.386603936868[/C][C]0.197972001916405[/C][/ROW]
[ROW][C]0.44[/C][C]203.423453242139[/C][C]0.201897855610802[/C][/ROW]
[ROW][C]0.45[/C][C]203.460922027229[/C][C]0.205852681655382[/C][/ROW]
[ROW][C]0.46[/C][C]203.498988114761[/C][C]0.21015416643927[/C][/ROW]
[ROW][C]0.47[/C][C]203.537600568871[/C][C]0.213395495920808[/C][/ROW]
[ROW][C]0.48[/C][C]203.576673955214[/C][C]0.216091660802269[/C][/ROW]
[ROW][C]0.49[/C][C]203.616089463043[/C][C]0.217873050783836[/C][/ROW]
[ROW][C]0.5[/C][C]203.655702438863[/C][C]0.218498350089386[/C][/ROW]
[ROW][C]0.51[/C][C]203.695354341466[/C][C]0.218128018318266[/C][/ROW]
[ROW][C]0.52[/C][C]203.734886216717[/C][C]0.216649379644005[/C][/ROW]
[ROW][C]0.53[/C][C]203.774150761489[/C][C]0.214345083009249[/C][/ROW]
[ROW][C]0.54[/C][C]203.813020869034[/C][C]0.211368311666339[/C][/ROW]
[ROW][C]0.55[/C][C]203.851393917506[/C][C]0.207887978156702[/C][/ROW]
[ROW][C]0.56[/C][C]203.889192502613[/C][C]0.204047771520135[/C][/ROW]
[ROW][C]0.57[/C][C]203.926363338702[/C][C]0.200068072842587[/C][/ROW]
[ROW][C]0.58[/C][C]203.962876331458[/C][C]0.195788497652317[/C][/ROW]
[ROW][C]0.59[/C][C]203.998725299708[/C][C]0.191334588458837[/C][/ROW]
[ROW][C]0.6[/C][C]204.033930718996[/C][C]0.187055549579084[/C][/ROW]
[ROW][C]0.61[/C][C]204.068543601862[/C][C]0.182875292979486[/C][/ROW]
[ROW][C]0.62[/C][C]204.102648691176[/C][C]0.179256134574445[/C][/ROW]
[ROW][C]0.63[/C][C]204.136364872314[/C][C]0.176119989414843[/C][/ROW]
[ROW][C]0.64[/C][C]204.169841211263[/C][C]0.173951715028461[/C][/ROW]
[ROW][C]0.65[/C][C]204.20324812796[/C][C]0.172576116297091[/C][/ROW]
[ROW][C]0.66[/C][C]204.236764541446[/C][C]0.172261160644035[/C][/ROW]
[ROW][C]0.67[/C][C]204.270562936404[/C][C]0.172725942608755[/C][/ROW]
[ROW][C]0.68[/C][C]204.304794854532[/C][C]0.173959316843214[/C][/ROW]
[ROW][C]0.69[/C][C]204.339579174052[/C][C]0.175601364103006[/C][/ROW]
[ROW][C]0.7[/C][C]204.37499481422[/C][C]0.177326248227908[/C][/ROW]
[ROW][C]0.71[/C][C]204.411078482593[/C][C]0.179077654299149[/C][/ROW]
[ROW][C]0.72[/C][C]204.447827132407[/C][C]0.180439921941129[/C][/ROW]
[ROW][C]0.73[/C][C]204.485204212907[/C][C]0.181386545025949[/C][/ROW]
[ROW][C]0.74[/C][C]204.523148716223[/C][C]0.181917789825953[/C][/ROW]
[ROW][C]0.75[/C][C]204.561586403207[/C][C]0.181538805704666[/C][/ROW]
[ROW][C]0.76[/C][C]204.60044323332[/C][C]0.180696231568298[/C][/ROW]
[ROW][C]0.77[/C][C]204.639661664942[/C][C]0.179384052394846[/C][/ROW]
[ROW][C]0.78[/C][C]204.679220870851[/C][C]0.177762391015262[/C][/ROW]
[ROW][C]0.79[/C][C]204.719161812604[/C][C]0.175879752380946[/C][/ROW]
[ROW][C]0.8[/C][C]204.759617372308[/C][C]0.174324231331281[/C][/ROW]
[ROW][C]0.81[/C][C]204.800846240773[/C][C]0.173311117965058[/C][/ROW]
[ROW][C]0.82[/C][C]204.843267000624[/C][C]0.173874273537882[/C][/ROW]
[ROW][C]0.83[/C][C]204.887486050526[/C][C]0.176424536886874[/C][/ROW]
[ROW][C]0.84[/C][C]204.934310355339[/C][C]0.181829307687907[/C][/ROW]
[ROW][C]0.85[/C][C]204.984734730461[/C][C]0.190659509218767[/C][/ROW]
[ROW][C]0.86[/C][C]205.03989519325[/C][C]0.202970136217639[/C][/ROW]
[ROW][C]0.87[/C][C]205.10098628666[/C][C]0.2185166462842[/C][/ROW]
[ROW][C]0.88[/C][C]205.169150910384[/C][C]0.236582146401541[/C][/ROW]
[ROW][C]0.89[/C][C]205.245362522714[/C][C]0.255529905880342[/C][/ROW]
[ROW][C]0.9[/C][C]205.330325004814[/C][C]0.273637633522518[/C][/ROW]
[ROW][C]0.91[/C][C]205.424409037469[/C][C]0.289197268836982[/C][/ROW]
[ROW][C]0.92[/C][C]205.527624659899[/C][C]0.30074411746925[/C][/ROW]
[ROW][C]0.93[/C][C]205.639597987378[/C][C]0.30690904576486[/C][/ROW]
[ROW][C]0.94[/C][C]205.759461230468[/C][C]0.30644922625587[/C][/ROW]
[ROW][C]0.95[/C][C]205.885456403573[/C][C]0.298016472892422[/C][/ROW]
[ROW][C]0.96[/C][C]206.013965320861[/C][C]0.279372750844558[/C][/ROW]
[ROW][C]0.97[/C][C]206.137938876753[/C][C]0.244875984062825[/C][/ROW]
[ROW][C]0.98[/C][C]206.245748337037[/C][C]0.185228429848467[/C][/ROW]
[ROW][C]0.99[/C][C]206.323012491609[/C][C]0.102638325810517[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238470&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238470&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
0.01200.350176459640.070013377659825
0.02200.4170377391620.22398341167457
0.03200.5501913097210.417842420205653
0.04200.7486485513780.58131759798076
0.05200.9913004753910.666318932217635
0.06201.2480770658070.666890202684419
0.07201.4925414271570.610040015810159
0.08201.7089762258670.531747605035462
0.09201.8927259766090.45926949995558
0.1202.0464859012720.403890211728536
0.11202.1758995954490.363594460642233
0.12202.2864909349360.331975427300915
0.13202.3823484059230.303445812736952
0.14202.4660472171520.275265076599243
0.15202.5391070596590.247051731096067
0.16202.6025003512550.218636102790162
0.17202.6570104022130.191145371629346
0.18202.7034243535440.16520677002811
0.19202.7426136949110.141226191030625
0.2202.7755531992950.12040945699913
0.21202.803306661240.103319857509817
0.22202.8269913409690.0905517947041268
0.23202.8477278377670.0827206531818042
0.24202.8665834249850.0795613945125636
0.25202.8845187342160.0804736499726025
0.26202.9023469794740.0850191049585025
0.27202.9207115438150.0914598369064744
0.28202.9400831551350.0995993798774181
0.29202.9607736934160.108480504136054
0.3202.9829609911640.117497342191173
0.31203.0067181897820.126653415488948
0.32203.0320420885880.135668315542434
0.33203.0588768943040.144072264632929
0.34203.0871321163970.152101020724096
0.35203.1166953609940.159484193577011
0.36203.1474419496570.166160253115354
0.37203.1792434274580.172091613324587
0.38203.2119762590210.177300604485933
0.39203.2455307434860.181915206306437
0.4203.2798189422240.186130579359706
0.41203.3147796933380.190190430690723
0.42203.3503788711250.193950538251729
0.43203.3866039368680.197972001916405
0.44203.4234532421390.201897855610802
0.45203.4609220272290.205852681655382
0.46203.4989881147610.21015416643927
0.47203.5376005688710.213395495920808
0.48203.5766739552140.216091660802269
0.49203.6160894630430.217873050783836
0.5203.6557024388630.218498350089386
0.51203.6953543414660.218128018318266
0.52203.7348862167170.216649379644005
0.53203.7741507614890.214345083009249
0.54203.8130208690340.211368311666339
0.55203.8513939175060.207887978156702
0.56203.8891925026130.204047771520135
0.57203.9263633387020.200068072842587
0.58203.9628763314580.195788497652317
0.59203.9987252997080.191334588458837
0.6204.0339307189960.187055549579084
0.61204.0685436018620.182875292979486
0.62204.1026486911760.179256134574445
0.63204.1363648723140.176119989414843
0.64204.1698412112630.173951715028461
0.65204.203248127960.172576116297091
0.66204.2367645414460.172261160644035
0.67204.2705629364040.172725942608755
0.68204.3047948545320.173959316843214
0.69204.3395791740520.175601364103006
0.7204.374994814220.177326248227908
0.71204.4110784825930.179077654299149
0.72204.4478271324070.180439921941129
0.73204.4852042129070.181386545025949
0.74204.5231487162230.181917789825953
0.75204.5615864032070.181538805704666
0.76204.600443233320.180696231568298
0.77204.6396616649420.179384052394846
0.78204.6792208708510.177762391015262
0.79204.7191618126040.175879752380946
0.8204.7596173723080.174324231331281
0.81204.8008462407730.173311117965058
0.82204.8432670006240.173874273537882
0.83204.8874860505260.176424536886874
0.84204.9343103553390.181829307687907
0.85204.9847347304610.190659509218767
0.86205.039895193250.202970136217639
0.87205.100986286660.2185166462842
0.88205.1691509103840.236582146401541
0.89205.2453625227140.255529905880342
0.9205.3303250048140.273637633522518
0.91205.4244090374690.289197268836982
0.92205.5276246598990.30074411746925
0.93205.6395979873780.30690904576486
0.94205.7594612304680.30644922625587
0.95205.8854564035730.298016472892422
0.96206.0139653208610.279372750844558
0.97206.1379388767530.244875984062825
0.98206.2457483370370.185228429848467
0.99206.3230124916090.102638325810517


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')