FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 06 Jan 2008 08:49:32 -0700
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/Jan/06/t1199634561sd4jhjemd38esro.htm/, Retrieved Sat, 04 May 2024 20:23:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7820, Retrieved Sat, 04 May 2024 20:23:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsInvestigating associations werkgelegenheid Q7
Estimated Impact206

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [WS2 - Robustness ...] [2007-10-20 13:06:37] [5343e105a400b9e32bf6f011133bbaf4]
- RM D    [Harrell-Davis Quantiles] [CVWS1WLQ7] [2008-01-06 15:49:32] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
59.9
59.9
59.9
60.9
60.9
60.9
61.1
61.1
61.1
60.2
60.2
60.2
60.1
60.1
60.1
59.7
59.7
59.7
60.5
60.5
60.5
59.5
59.5
59.5
59.5
59.5
59.5
59.7
59.7
59.7
60.4
60.4
60.4
60
60
60
59
59
59
59.3
59.3
59.3
59.7
59.7
59.7
60.4
60.4
60.4
59.9
59.9
59.9
60.5
60.5
60.5
60.4
60.4
60.4
60.6
60.6
60.6
60.9
60.9
60.9
61
61
61
61.2
61.2
61.2
61.2
61.2
61.2
60.3
60.3
60.3
60.4
60.4
60.4
61.2
61.2
61.2
62.1
62.1
62.1
61.7
61.7
61.7
61.6
61.6
61.6

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7820&T=0

[TABLE]
[ROW][C]Summary of compuational 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' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7820&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7820&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.02559.0798506005840.128002730336985
0.03559.15282911251940.154947254938964
0.04559.23083348508320.150608445475306
0.05559.30197590866770.134029061261326
0.06559.36180888456980.117467894541947
0.07559.41078566388940.103069990742908
0.08559.45110409651470.091290378608055
0.09559.48521965316140.0841683338577073
0.10559.51540714181440.0828430276749581
0.11559.5434787383380.0853319237026686
0.12559.57050103562920.0880742688742497
0.13559.59672507185960.0882419047855385
0.14559.62182762292640.0849584111519227
0.15559.6453348754420.0792237836287411
0.16559.66700921817690.0732602063267828
0.17559.68704229796330.0694228255361846
0.18559.70602161891060.0694348050607422
0.19559.72473925823570.0733526708654295
0.20559.7439530267720.0800290000182862
0.21559.76419725099730.0876917997293387
0.22559.78569659119610.0948323228347636
0.23559.80838758265570.100471102506272
0.24559.8320164635730.104276262173623
0.25559.85626576443220.106547541285805
0.26559.88086516439470.107965859442684
0.27559.90565806528120.109255606649885
0.28559.93061586942370.111046448496338
0.29559.95580949445450.113588749880188
0.30559.98135748932780.116929378148546
0.31560.00737121875060.120684564930944
0.32560.03391210906980.124496508531290
0.33560.06096765934270.127916086941524
0.34560.08844542353180.130588074959895
0.35560.11617968064390.132188945298622
0.36560.14394449630310.132511827480792
0.37560.17146845240530.131426279466028
0.38560.19844898915150.128721357164868
0.39560.22456668043880.124413550518129
0.40560.24950099733670.118473670343911
0.41560.27294899212260.111020922839233
0.42560.29464715770.102269564854878
0.43560.31439506928520.092534233517759
0.44560.33207793361440.0822986328391494
0.45560.34768436297420.0721071573333165
0.46560.36131582840140.0624869022407124
0.47560.37318533209980.0540809852870803
0.48560.38360464176840.0473732405289059
0.49560.39296155645310.0428563684423671
0.50560.40169066088580.0407674537318949
0.51560.41024242134290.0411235057815258
0.52560.4190559106330.0437370186462307
0.53560.42853969771030.0482221961590197
0.54560.43906348670150.05427236526134
0.55560.45096021086830.0616589452289975
0.56560.46453506801730.0703218799800055
0.57560.48007528636580.0802326549199102
0.58560.49785319516170.091426991596441
0.59560.51811620835540.103754573477381
0.60560.54106083659950.117003213904625
0.61560.56679324214690.130586687590306
0.62560.59528472687360.143622781508732
0.63560.62633494318660.155286456411195
0.64560.65955665722250.164398077886366
0.65560.6943924991550.170148550575416
0.66560.73016663499930.172137365514860
0.67560.76616457071320.170283341994001
0.68560.80172533325940.165100739736997
0.69560.83632515618880.157576876710311
0.70560.86963255691610.148777582159761
0.71560.90152142592070.139938686081925
0.72560.9320394865320.131928291080178
0.73560.96134091735920.125168644071245
0.74560.98960069792480.119608451167361
0.75561.01693220719560.114728626294521
0.76561.04332852412890.109813462697529
0.77561.06864313754960.104122532032842
0.78561.09261941888140.0971586939148132
0.79561.1149717481730.0887773576025763
0.80561.13551466158670.0794584451462157
0.81561.15432814564730.0702029833469043
0.82561.17193451559280.0628370718399255
0.83561.1894433864350.0600427309088272
0.84561.20859893876780.0649432806875694
0.85561.23165002242040.0792544129694977
0.86561.26098099853020.101958215399806
0.87561.2985135379110.129575836084141
0.88561.34502076550920.156530083013654
0.89561.39964496930850.176482163219296
0.90561.45999146404430.184169595689598
0.91561.52308115271870.178308684389399
0.92561.58710100376340.163571377912409
0.93561.65324773831370.151264662043788
0.94561.72610595044890.155283300979445
0.95561.81060240448360.176607976316593
0.96561.905295096720.190717600298131
0.97561.99675175633220.163549795451108

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.025 & 59.079850600584 & 0.128002730336985 \tabularnewline
0.035 & 59.1528291125194 & 0.154947254938964 \tabularnewline
0.045 & 59.2308334850832 & 0.150608445475306 \tabularnewline
0.055 & 59.3019759086677 & 0.134029061261326 \tabularnewline
0.065 & 59.3618088845698 & 0.117467894541947 \tabularnewline
0.075 & 59.4107856638894 & 0.103069990742908 \tabularnewline
0.085 & 59.4511040965147 & 0.091290378608055 \tabularnewline
0.095 & 59.4852196531614 & 0.0841683338577073 \tabularnewline
0.105 & 59.5154071418144 & 0.0828430276749581 \tabularnewline
0.115 & 59.543478738338 & 0.0853319237026686 \tabularnewline
0.125 & 59.5705010356292 & 0.0880742688742497 \tabularnewline
0.135 & 59.5967250718596 & 0.0882419047855385 \tabularnewline
0.145 & 59.6218276229264 & 0.0849584111519227 \tabularnewline
0.155 & 59.645334875442 & 0.0792237836287411 \tabularnewline
0.165 & 59.6670092181769 & 0.0732602063267828 \tabularnewline
0.175 & 59.6870422979633 & 0.0694228255361846 \tabularnewline
0.185 & 59.7060216189106 & 0.0694348050607422 \tabularnewline
0.195 & 59.7247392582357 & 0.0733526708654295 \tabularnewline
0.205 & 59.743953026772 & 0.0800290000182862 \tabularnewline
0.215 & 59.7641972509973 & 0.0876917997293387 \tabularnewline
0.225 & 59.7856965911961 & 0.0948323228347636 \tabularnewline
0.235 & 59.8083875826557 & 0.100471102506272 \tabularnewline
0.245 & 59.832016463573 & 0.104276262173623 \tabularnewline
0.255 & 59.8562657644322 & 0.106547541285805 \tabularnewline
0.265 & 59.8808651643947 & 0.107965859442684 \tabularnewline
0.275 & 59.9056580652812 & 0.109255606649885 \tabularnewline
0.285 & 59.9306158694237 & 0.111046448496338 \tabularnewline
0.295 & 59.9558094944545 & 0.113588749880188 \tabularnewline
0.305 & 59.9813574893278 & 0.116929378148546 \tabularnewline
0.315 & 60.0073712187506 & 0.120684564930944 \tabularnewline
0.325 & 60.0339121090698 & 0.124496508531290 \tabularnewline
0.335 & 60.0609676593427 & 0.127916086941524 \tabularnewline
0.345 & 60.0884454235318 & 0.130588074959895 \tabularnewline
0.355 & 60.1161796806439 & 0.132188945298622 \tabularnewline
0.365 & 60.1439444963031 & 0.132511827480792 \tabularnewline
0.375 & 60.1714684524053 & 0.131426279466028 \tabularnewline
0.385 & 60.1984489891515 & 0.128721357164868 \tabularnewline
0.395 & 60.2245666804388 & 0.124413550518129 \tabularnewline
0.405 & 60.2495009973367 & 0.118473670343911 \tabularnewline
0.415 & 60.2729489921226 & 0.111020922839233 \tabularnewline
0.425 & 60.2946471577 & 0.102269564854878 \tabularnewline
0.435 & 60.3143950692852 & 0.092534233517759 \tabularnewline
0.445 & 60.3320779336144 & 0.0822986328391494 \tabularnewline
0.455 & 60.3476843629742 & 0.0721071573333165 \tabularnewline
0.465 & 60.3613158284014 & 0.0624869022407124 \tabularnewline
0.475 & 60.3731853320998 & 0.0540809852870803 \tabularnewline
0.485 & 60.3836046417684 & 0.0473732405289059 \tabularnewline
0.495 & 60.3929615564531 & 0.0428563684423671 \tabularnewline
0.505 & 60.4016906608858 & 0.0407674537318949 \tabularnewline
0.515 & 60.4102424213429 & 0.0411235057815258 \tabularnewline
0.525 & 60.419055910633 & 0.0437370186462307 \tabularnewline
0.535 & 60.4285396977103 & 0.0482221961590197 \tabularnewline
0.545 & 60.4390634867015 & 0.05427236526134 \tabularnewline
0.555 & 60.4509602108683 & 0.0616589452289975 \tabularnewline
0.565 & 60.4645350680173 & 0.0703218799800055 \tabularnewline
0.575 & 60.4800752863658 & 0.0802326549199102 \tabularnewline
0.585 & 60.4978531951617 & 0.091426991596441 \tabularnewline
0.595 & 60.5181162083554 & 0.103754573477381 \tabularnewline
0.605 & 60.5410608365995 & 0.117003213904625 \tabularnewline
0.615 & 60.5667932421469 & 0.130586687590306 \tabularnewline
0.625 & 60.5952847268736 & 0.143622781508732 \tabularnewline
0.635 & 60.6263349431866 & 0.155286456411195 \tabularnewline
0.645 & 60.6595566572225 & 0.164398077886366 \tabularnewline
0.655 & 60.694392499155 & 0.170148550575416 \tabularnewline
0.665 & 60.7301666349993 & 0.172137365514860 \tabularnewline
0.675 & 60.7661645707132 & 0.170283341994001 \tabularnewline
0.685 & 60.8017253332594 & 0.165100739736997 \tabularnewline
0.695 & 60.8363251561888 & 0.157576876710311 \tabularnewline
0.705 & 60.8696325569161 & 0.148777582159761 \tabularnewline
0.715 & 60.9015214259207 & 0.139938686081925 \tabularnewline
0.725 & 60.932039486532 & 0.131928291080178 \tabularnewline
0.735 & 60.9613409173592 & 0.125168644071245 \tabularnewline
0.745 & 60.9896006979248 & 0.119608451167361 \tabularnewline
0.755 & 61.0169322071956 & 0.114728626294521 \tabularnewline
0.765 & 61.0433285241289 & 0.109813462697529 \tabularnewline
0.775 & 61.0686431375496 & 0.104122532032842 \tabularnewline
0.785 & 61.0926194188814 & 0.0971586939148132 \tabularnewline
0.795 & 61.114971748173 & 0.0887773576025763 \tabularnewline
0.805 & 61.1355146615867 & 0.0794584451462157 \tabularnewline
0.815 & 61.1543281456473 & 0.0702029833469043 \tabularnewline
0.825 & 61.1719345155928 & 0.0628370718399255 \tabularnewline
0.835 & 61.189443386435 & 0.0600427309088272 \tabularnewline
0.845 & 61.2085989387678 & 0.0649432806875694 \tabularnewline
0.855 & 61.2316500224204 & 0.0792544129694977 \tabularnewline
0.865 & 61.2609809985302 & 0.101958215399806 \tabularnewline
0.875 & 61.298513537911 & 0.129575836084141 \tabularnewline
0.885 & 61.3450207655092 & 0.156530083013654 \tabularnewline
0.895 & 61.3996449693085 & 0.176482163219296 \tabularnewline
0.905 & 61.4599914640443 & 0.184169595689598 \tabularnewline
0.915 & 61.5230811527187 & 0.178308684389399 \tabularnewline
0.925 & 61.5871010037634 & 0.163571377912409 \tabularnewline
0.935 & 61.6532477383137 & 0.151264662043788 \tabularnewline
0.945 & 61.7261059504489 & 0.155283300979445 \tabularnewline
0.955 & 61.8106024044836 & 0.176607976316593 \tabularnewline
0.965 & 61.90529509672 & 0.190717600298131 \tabularnewline
0.975 & 61.9967517563322 & 0.163549795451108 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7820&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.025[/C][C]59.079850600584[/C][C]0.128002730336985[/C][/ROW]
[ROW][C]0.035[/C][C]59.1528291125194[/C][C]0.154947254938964[/C][/ROW]
[ROW][C]0.045[/C][C]59.2308334850832[/C][C]0.150608445475306[/C][/ROW]
[ROW][C]0.055[/C][C]59.3019759086677[/C][C]0.134029061261326[/C][/ROW]
[ROW][C]0.065[/C][C]59.3618088845698[/C][C]0.117467894541947[/C][/ROW]
[ROW][C]0.075[/C][C]59.4107856638894[/C][C]0.103069990742908[/C][/ROW]
[ROW][C]0.085[/C][C]59.4511040965147[/C][C]0.091290378608055[/C][/ROW]
[ROW][C]0.095[/C][C]59.4852196531614[/C][C]0.0841683338577073[/C][/ROW]
[ROW][C]0.105[/C][C]59.5154071418144[/C][C]0.0828430276749581[/C][/ROW]
[ROW][C]0.115[/C][C]59.543478738338[/C][C]0.0853319237026686[/C][/ROW]
[ROW][C]0.125[/C][C]59.5705010356292[/C][C]0.0880742688742497[/C][/ROW]
[ROW][C]0.135[/C][C]59.5967250718596[/C][C]0.0882419047855385[/C][/ROW]
[ROW][C]0.145[/C][C]59.6218276229264[/C][C]0.0849584111519227[/C][/ROW]
[ROW][C]0.155[/C][C]59.645334875442[/C][C]0.0792237836287411[/C][/ROW]
[ROW][C]0.165[/C][C]59.6670092181769[/C][C]0.0732602063267828[/C][/ROW]
[ROW][C]0.175[/C][C]59.6870422979633[/C][C]0.0694228255361846[/C][/ROW]
[ROW][C]0.185[/C][C]59.7060216189106[/C][C]0.0694348050607422[/C][/ROW]
[ROW][C]0.195[/C][C]59.7247392582357[/C][C]0.0733526708654295[/C][/ROW]
[ROW][C]0.205[/C][C]59.743953026772[/C][C]0.0800290000182862[/C][/ROW]
[ROW][C]0.215[/C][C]59.7641972509973[/C][C]0.0876917997293387[/C][/ROW]
[ROW][C]0.225[/C][C]59.7856965911961[/C][C]0.0948323228347636[/C][/ROW]
[ROW][C]0.235[/C][C]59.8083875826557[/C][C]0.100471102506272[/C][/ROW]
[ROW][C]0.245[/C][C]59.832016463573[/C][C]0.104276262173623[/C][/ROW]
[ROW][C]0.255[/C][C]59.8562657644322[/C][C]0.106547541285805[/C][/ROW]
[ROW][C]0.265[/C][C]59.8808651643947[/C][C]0.107965859442684[/C][/ROW]
[ROW][C]0.275[/C][C]59.9056580652812[/C][C]0.109255606649885[/C][/ROW]
[ROW][C]0.285[/C][C]59.9306158694237[/C][C]0.111046448496338[/C][/ROW]
[ROW][C]0.295[/C][C]59.9558094944545[/C][C]0.113588749880188[/C][/ROW]
[ROW][C]0.305[/C][C]59.9813574893278[/C][C]0.116929378148546[/C][/ROW]
[ROW][C]0.315[/C][C]60.0073712187506[/C][C]0.120684564930944[/C][/ROW]
[ROW][C]0.325[/C][C]60.0339121090698[/C][C]0.124496508531290[/C][/ROW]
[ROW][C]0.335[/C][C]60.0609676593427[/C][C]0.127916086941524[/C][/ROW]
[ROW][C]0.345[/C][C]60.0884454235318[/C][C]0.130588074959895[/C][/ROW]
[ROW][C]0.355[/C][C]60.1161796806439[/C][C]0.132188945298622[/C][/ROW]
[ROW][C]0.365[/C][C]60.1439444963031[/C][C]0.132511827480792[/C][/ROW]
[ROW][C]0.375[/C][C]60.1714684524053[/C][C]0.131426279466028[/C][/ROW]
[ROW][C]0.385[/C][C]60.1984489891515[/C][C]0.128721357164868[/C][/ROW]
[ROW][C]0.395[/C][C]60.2245666804388[/C][C]0.124413550518129[/C][/ROW]
[ROW][C]0.405[/C][C]60.2495009973367[/C][C]0.118473670343911[/C][/ROW]
[ROW][C]0.415[/C][C]60.2729489921226[/C][C]0.111020922839233[/C][/ROW]
[ROW][C]0.425[/C][C]60.2946471577[/C][C]0.102269564854878[/C][/ROW]
[ROW][C]0.435[/C][C]60.3143950692852[/C][C]0.092534233517759[/C][/ROW]
[ROW][C]0.445[/C][C]60.3320779336144[/C][C]0.0822986328391494[/C][/ROW]
[ROW][C]0.455[/C][C]60.3476843629742[/C][C]0.0721071573333165[/C][/ROW]
[ROW][C]0.465[/C][C]60.3613158284014[/C][C]0.0624869022407124[/C][/ROW]
[ROW][C]0.475[/C][C]60.3731853320998[/C][C]0.0540809852870803[/C][/ROW]
[ROW][C]0.485[/C][C]60.3836046417684[/C][C]0.0473732405289059[/C][/ROW]
[ROW][C]0.495[/C][C]60.3929615564531[/C][C]0.0428563684423671[/C][/ROW]
[ROW][C]0.505[/C][C]60.4016906608858[/C][C]0.0407674537318949[/C][/ROW]
[ROW][C]0.515[/C][C]60.4102424213429[/C][C]0.0411235057815258[/C][/ROW]
[ROW][C]0.525[/C][C]60.419055910633[/C][C]0.0437370186462307[/C][/ROW]
[ROW][C]0.535[/C][C]60.4285396977103[/C][C]0.0482221961590197[/C][/ROW]
[ROW][C]0.545[/C][C]60.4390634867015[/C][C]0.05427236526134[/C][/ROW]
[ROW][C]0.555[/C][C]60.4509602108683[/C][C]0.0616589452289975[/C][/ROW]
[ROW][C]0.565[/C][C]60.4645350680173[/C][C]0.0703218799800055[/C][/ROW]
[ROW][C]0.575[/C][C]60.4800752863658[/C][C]0.0802326549199102[/C][/ROW]
[ROW][C]0.585[/C][C]60.4978531951617[/C][C]0.091426991596441[/C][/ROW]
[ROW][C]0.595[/C][C]60.5181162083554[/C][C]0.103754573477381[/C][/ROW]
[ROW][C]0.605[/C][C]60.5410608365995[/C][C]0.117003213904625[/C][/ROW]
[ROW][C]0.615[/C][C]60.5667932421469[/C][C]0.130586687590306[/C][/ROW]
[ROW][C]0.625[/C][C]60.5952847268736[/C][C]0.143622781508732[/C][/ROW]
[ROW][C]0.635[/C][C]60.6263349431866[/C][C]0.155286456411195[/C][/ROW]
[ROW][C]0.645[/C][C]60.6595566572225[/C][C]0.164398077886366[/C][/ROW]
[ROW][C]0.655[/C][C]60.694392499155[/C][C]0.170148550575416[/C][/ROW]
[ROW][C]0.665[/C][C]60.7301666349993[/C][C]0.172137365514860[/C][/ROW]
[ROW][C]0.675[/C][C]60.7661645707132[/C][C]0.170283341994001[/C][/ROW]
[ROW][C]0.685[/C][C]60.8017253332594[/C][C]0.165100739736997[/C][/ROW]
[ROW][C]0.695[/C][C]60.8363251561888[/C][C]0.157576876710311[/C][/ROW]
[ROW][C]0.705[/C][C]60.8696325569161[/C][C]0.148777582159761[/C][/ROW]
[ROW][C]0.715[/C][C]60.9015214259207[/C][C]0.139938686081925[/C][/ROW]
[ROW][C]0.725[/C][C]60.932039486532[/C][C]0.131928291080178[/C][/ROW]
[ROW][C]0.735[/C][C]60.9613409173592[/C][C]0.125168644071245[/C][/ROW]
[ROW][C]0.745[/C][C]60.9896006979248[/C][C]0.119608451167361[/C][/ROW]
[ROW][C]0.755[/C][C]61.0169322071956[/C][C]0.114728626294521[/C][/ROW]
[ROW][C]0.765[/C][C]61.0433285241289[/C][C]0.109813462697529[/C][/ROW]
[ROW][C]0.775[/C][C]61.0686431375496[/C][C]0.104122532032842[/C][/ROW]
[ROW][C]0.785[/C][C]61.0926194188814[/C][C]0.0971586939148132[/C][/ROW]
[ROW][C]0.795[/C][C]61.114971748173[/C][C]0.0887773576025763[/C][/ROW]
[ROW][C]0.805[/C][C]61.1355146615867[/C][C]0.0794584451462157[/C][/ROW]
[ROW][C]0.815[/C][C]61.1543281456473[/C][C]0.0702029833469043[/C][/ROW]
[ROW][C]0.825[/C][C]61.1719345155928[/C][C]0.0628370718399255[/C][/ROW]
[ROW][C]0.835[/C][C]61.189443386435[/C][C]0.0600427309088272[/C][/ROW]
[ROW][C]0.845[/C][C]61.2085989387678[/C][C]0.0649432806875694[/C][/ROW]
[ROW][C]0.855[/C][C]61.2316500224204[/C][C]0.0792544129694977[/C][/ROW]
[ROW][C]0.865[/C][C]61.2609809985302[/C][C]0.101958215399806[/C][/ROW]
[ROW][C]0.875[/C][C]61.298513537911[/C][C]0.129575836084141[/C][/ROW]
[ROW][C]0.885[/C][C]61.3450207655092[/C][C]0.156530083013654[/C][/ROW]
[ROW][C]0.895[/C][C]61.3996449693085[/C][C]0.176482163219296[/C][/ROW]
[ROW][C]0.905[/C][C]61.4599914640443[/C][C]0.184169595689598[/C][/ROW]
[ROW][C]0.915[/C][C]61.5230811527187[/C][C]0.178308684389399[/C][/ROW]
[ROW][C]0.925[/C][C]61.5871010037634[/C][C]0.163571377912409[/C][/ROW]
[ROW][C]0.935[/C][C]61.6532477383137[/C][C]0.151264662043788[/C][/ROW]
[ROW][C]0.945[/C][C]61.7261059504489[/C][C]0.155283300979445[/C][/ROW]
[ROW][C]0.955[/C][C]61.8106024044836[/C][C]0.176607976316593[/C][/ROW]
[ROW][C]0.965[/C][C]61.90529509672[/C][C]0.190717600298131[/C][/ROW]
[ROW][C]0.975[/C][C]61.9967517563322[/C][C]0.163549795451108[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7820&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7820&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
0.02559.0798506005840.128002730336985
0.03559.15282911251940.154947254938964
0.04559.23083348508320.150608445475306
0.05559.30197590866770.134029061261326
0.06559.36180888456980.117467894541947
0.07559.41078566388940.103069990742908
0.08559.45110409651470.091290378608055
0.09559.48521965316140.0841683338577073
0.10559.51540714181440.0828430276749581
0.11559.5434787383380.0853319237026686
0.12559.57050103562920.0880742688742497
0.13559.59672507185960.0882419047855385
0.14559.62182762292640.0849584111519227
0.15559.6453348754420.0792237836287411
0.16559.66700921817690.0732602063267828
0.17559.68704229796330.0694228255361846
0.18559.70602161891060.0694348050607422
0.19559.72473925823570.0733526708654295
0.20559.7439530267720.0800290000182862
0.21559.76419725099730.0876917997293387
0.22559.78569659119610.0948323228347636
0.23559.80838758265570.100471102506272
0.24559.8320164635730.104276262173623
0.25559.85626576443220.106547541285805
0.26559.88086516439470.107965859442684
0.27559.90565806528120.109255606649885
0.28559.93061586942370.111046448496338
0.29559.95580949445450.113588749880188
0.30559.98135748932780.116929378148546
0.31560.00737121875060.120684564930944
0.32560.03391210906980.124496508531290
0.33560.06096765934270.127916086941524
0.34560.08844542353180.130588074959895
0.35560.11617968064390.132188945298622
0.36560.14394449630310.132511827480792
0.37560.17146845240530.131426279466028
0.38560.19844898915150.128721357164868
0.39560.22456668043880.124413550518129
0.40560.24950099733670.118473670343911
0.41560.27294899212260.111020922839233
0.42560.29464715770.102269564854878
0.43560.31439506928520.092534233517759
0.44560.33207793361440.0822986328391494
0.45560.34768436297420.0721071573333165
0.46560.36131582840140.0624869022407124
0.47560.37318533209980.0540809852870803
0.48560.38360464176840.0473732405289059
0.49560.39296155645310.0428563684423671
0.50560.40169066088580.0407674537318949
0.51560.41024242134290.0411235057815258
0.52560.4190559106330.0437370186462307
0.53560.42853969771030.0482221961590197
0.54560.43906348670150.05427236526134
0.55560.45096021086830.0616589452289975
0.56560.46453506801730.0703218799800055
0.57560.48007528636580.0802326549199102
0.58560.49785319516170.091426991596441
0.59560.51811620835540.103754573477381
0.60560.54106083659950.117003213904625
0.61560.56679324214690.130586687590306
0.62560.59528472687360.143622781508732
0.63560.62633494318660.155286456411195
0.64560.65955665722250.164398077886366
0.65560.6943924991550.170148550575416
0.66560.73016663499930.172137365514860
0.67560.76616457071320.170283341994001
0.68560.80172533325940.165100739736997
0.69560.83632515618880.157576876710311
0.70560.86963255691610.148777582159761
0.71560.90152142592070.139938686081925
0.72560.9320394865320.131928291080178
0.73560.96134091735920.125168644071245
0.74560.98960069792480.119608451167361
0.75561.01693220719560.114728626294521
0.76561.04332852412890.109813462697529
0.77561.06864313754960.104122532032842
0.78561.09261941888140.0971586939148132
0.79561.1149717481730.0887773576025763
0.80561.13551466158670.0794584451462157
0.81561.15432814564730.0702029833469043
0.82561.17193451559280.0628370718399255
0.83561.1894433864350.0600427309088272
0.84561.20859893876780.0649432806875694
0.85561.23165002242040.0792544129694977
0.86561.26098099853020.101958215399806
0.87561.2985135379110.129575836084141
0.88561.34502076550920.156530083013654
0.89561.39964496930850.176482163219296
0.90561.45999146404430.184169595689598
0.91561.52308115271870.178308684389399
0.92561.58710100376340.163571377912409
0.93561.65324773831370.151264662043788
0.94561.72610595044890.155283300979445
0.95561.81060240448360.176607976316593
0.96561.905295096720.190717600298131
0.97561.99675175633220.163549795451108


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.025 ; par2 = 0.975 ; 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')