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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 09:39:17 +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/t1412325598h505qcjvvxvgkx6.htm/, Retrieved Fri, 10 May 2024 13:05:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238357, Retrieved Fri, 10 May 2024 13:05:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172

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 08:39:17] [e5757b82694375e1f239be852782e5f7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
220.05
220.05
220.62
221.53
221.61
221.5
221.5
221.87
222.27
220.86
221.49
221.67
221.67
221.72
221.67
220.29
220.75
219.59
219.59
219.59
219.82
221.59
220.9
221.01
221.01
219.69
221
219.82
218.04
217.97
217.97
217.53
217
217.18
217.68
217.71
217.71
218.5
218.8
218.94
220
219.89
219.89
220.08
220.16
221
222.16
221.5
221.5
221.6
221.85
223.11
222.79
222.45
222.45
222.4
223.15
224.4
224.24
223.92
212.42
212.34
212.95
213.37
214.26
214.1
213.54
213.69
211.82
212.82
212.36
212.7

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238357&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238357&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238357&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01211.9554658122940.399253814001371
0.02212.1344608112730.271073493508388
0.03212.2935250864860.208485228679557
0.04212.4237361406220.225077474512142
0.05212.5422873728640.280612286525497
0.06212.6658339796750.348731510214288
0.07212.8036480884830.425536748908715
0.08212.9604697574140.516213623216476
0.09213.1400380384370.62771166497502
0.1213.3465609897540.764354203796859
0.11213.5844130771290.924914102126864
0.12213.8569101347881.1009663650682
0.13214.1648623994111.27673610607103
0.14214.5054439069881.43246170649444
0.15214.871780445911.54808991638341
0.16215.2534561375991.60897144626934
0.17215.6378658124751.60803968224344
0.18216.0120827138371.54841171711693
0.19216.3647689987651.44135257980657
0.2216.6876772408261.30369216015607
0.21216.9764488340331.15484468778573
0.22217.2306346522861.01234330482647
0.23217.4530619528190.89080992413484
0.24217.648793712980.798665340959742
0.25217.8239570201220.738302500407936
0.26217.9846739543880.70706763510615
0.27218.1362460074110.697509385176874
0.28218.2826550196090.700894880329558
0.29218.4263723094260.708591727939398
0.3218.5684220969690.713797526750462
0.31218.708624287780.711894750600147
0.32218.8459389287840.700013241352317
0.33218.9788431680090.67692287029279
0.34219.1056858457610.643840058394734
0.35219.2249813739260.60235970568005
0.36219.3356211714170.555305917188266
0.37219.4369961310230.505891600589097
0.38219.5290361561640.457286112830526
0.39219.6121817157590.411942230932683
0.4219.6873070608740.372201122384441
0.41219.7556153326310.33964721149589
0.42219.8185230797870.315715579388896
0.43219.8775470369110.300677281234883
0.44219.9342009147390.293991010675608
0.45219.9899057433260.295226729747894
0.46220.0459147918950.30291512736082
0.47220.1032534105760.315428180753453
0.48220.1626748233680.331249654748261
0.49220.2246340646880.348508745766018
0.5220.2892829107590.365174997578527
0.51220.3564880538070.379609786668182
0.52220.4258726195390.390984095583938
0.53220.4968777403020.39787909831171
0.54220.5688370920540.400192613023688
0.55220.6410542004040.398444634948508
0.56220.7128709972980.392713759994913
0.57220.7837172554730.38414391999857
0.58220.8531341862380.373450406415746
0.59220.9207709703840.361460959679399
0.6220.9863590169380.348882862654644
0.61221.0496737564920.335631961228905
0.62221.1104963950630.321296716417273
0.63221.1685875021070.305823608797539
0.64221.2236806781480.288848634362084
0.65221.2754988330470.270062238891296
0.66221.3237894245060.249606967990694
0.67221.368370127340.2280342941773
0.68221.4091741961980.205979125778763
0.69221.446285776750.184461647871985
0.7221.4799591264810.164480606493873
0.71221.5106207800430.146843456997442
0.72221.5388583686040.132903227682751
0.73221.565402466910.122772736678994
0.74221.5911075658620.117288706441724
0.75221.6169351156580.116593186883654
0.76221.6439366320250.12122974029741
0.77221.6732299444040.130924777077094
0.78221.7059589519070.145796536859327
0.79221.7432286921480.165138474242438
0.8221.7860142855330.188066040360823
0.81221.8350541589270.212945584497244
0.82221.8907526262070.237770890851963
0.83221.9531297240420.260645647493902
0.84222.0218603483390.279409353761415
0.85222.0964330647160.293079175738972
0.86222.1764279752420.302087663135212
0.87222.2618683992490.308308886873868
0.88222.3535614788550.31524577742586
0.89222.4533348628960.327019931570585
0.9222.5641149959550.346710844202646
0.91222.6898480032210.375323510387702
0.92222.8352491461640.412300648345535
0.93223.0051925646230.45647247116379
0.94223.2032879330270.503953484356674
0.95223.429211355770.543047275332215
0.96223.6751692577340.550069116778272
0.97223.9233250652130.497577189896081
0.98224.1466001758510.378685086343172
0.99224.313799133050.236571269776853

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 211.955465812294 & 0.399253814001371 \tabularnewline
0.02 & 212.134460811273 & 0.271073493508388 \tabularnewline
0.03 & 212.293525086486 & 0.208485228679557 \tabularnewline
0.04 & 212.423736140622 & 0.225077474512142 \tabularnewline
0.05 & 212.542287372864 & 0.280612286525497 \tabularnewline
0.06 & 212.665833979675 & 0.348731510214288 \tabularnewline
0.07 & 212.803648088483 & 0.425536748908715 \tabularnewline
0.08 & 212.960469757414 & 0.516213623216476 \tabularnewline
0.09 & 213.140038038437 & 0.62771166497502 \tabularnewline
0.1 & 213.346560989754 & 0.764354203796859 \tabularnewline
0.11 & 213.584413077129 & 0.924914102126864 \tabularnewline
0.12 & 213.856910134788 & 1.1009663650682 \tabularnewline
0.13 & 214.164862399411 & 1.27673610607103 \tabularnewline
0.14 & 214.505443906988 & 1.43246170649444 \tabularnewline
0.15 & 214.87178044591 & 1.54808991638341 \tabularnewline
0.16 & 215.253456137599 & 1.60897144626934 \tabularnewline
0.17 & 215.637865812475 & 1.60803968224344 \tabularnewline
0.18 & 216.012082713837 & 1.54841171711693 \tabularnewline
0.19 & 216.364768998765 & 1.44135257980657 \tabularnewline
0.2 & 216.687677240826 & 1.30369216015607 \tabularnewline
0.21 & 216.976448834033 & 1.15484468778573 \tabularnewline
0.22 & 217.230634652286 & 1.01234330482647 \tabularnewline
0.23 & 217.453061952819 & 0.89080992413484 \tabularnewline
0.24 & 217.64879371298 & 0.798665340959742 \tabularnewline
0.25 & 217.823957020122 & 0.738302500407936 \tabularnewline
0.26 & 217.984673954388 & 0.70706763510615 \tabularnewline
0.27 & 218.136246007411 & 0.697509385176874 \tabularnewline
0.28 & 218.282655019609 & 0.700894880329558 \tabularnewline
0.29 & 218.426372309426 & 0.708591727939398 \tabularnewline
0.3 & 218.568422096969 & 0.713797526750462 \tabularnewline
0.31 & 218.70862428778 & 0.711894750600147 \tabularnewline
0.32 & 218.845938928784 & 0.700013241352317 \tabularnewline
0.33 & 218.978843168009 & 0.67692287029279 \tabularnewline
0.34 & 219.105685845761 & 0.643840058394734 \tabularnewline
0.35 & 219.224981373926 & 0.60235970568005 \tabularnewline
0.36 & 219.335621171417 & 0.555305917188266 \tabularnewline
0.37 & 219.436996131023 & 0.505891600589097 \tabularnewline
0.38 & 219.529036156164 & 0.457286112830526 \tabularnewline
0.39 & 219.612181715759 & 0.411942230932683 \tabularnewline
0.4 & 219.687307060874 & 0.372201122384441 \tabularnewline
0.41 & 219.755615332631 & 0.33964721149589 \tabularnewline
0.42 & 219.818523079787 & 0.315715579388896 \tabularnewline
0.43 & 219.877547036911 & 0.300677281234883 \tabularnewline
0.44 & 219.934200914739 & 0.293991010675608 \tabularnewline
0.45 & 219.989905743326 & 0.295226729747894 \tabularnewline
0.46 & 220.045914791895 & 0.30291512736082 \tabularnewline
0.47 & 220.103253410576 & 0.315428180753453 \tabularnewline
0.48 & 220.162674823368 & 0.331249654748261 \tabularnewline
0.49 & 220.224634064688 & 0.348508745766018 \tabularnewline
0.5 & 220.289282910759 & 0.365174997578527 \tabularnewline
0.51 & 220.356488053807 & 0.379609786668182 \tabularnewline
0.52 & 220.425872619539 & 0.390984095583938 \tabularnewline
0.53 & 220.496877740302 & 0.39787909831171 \tabularnewline
0.54 & 220.568837092054 & 0.400192613023688 \tabularnewline
0.55 & 220.641054200404 & 0.398444634948508 \tabularnewline
0.56 & 220.712870997298 & 0.392713759994913 \tabularnewline
0.57 & 220.783717255473 & 0.38414391999857 \tabularnewline
0.58 & 220.853134186238 & 0.373450406415746 \tabularnewline
0.59 & 220.920770970384 & 0.361460959679399 \tabularnewline
0.6 & 220.986359016938 & 0.348882862654644 \tabularnewline
0.61 & 221.049673756492 & 0.335631961228905 \tabularnewline
0.62 & 221.110496395063 & 0.321296716417273 \tabularnewline
0.63 & 221.168587502107 & 0.305823608797539 \tabularnewline
0.64 & 221.223680678148 & 0.288848634362084 \tabularnewline
0.65 & 221.275498833047 & 0.270062238891296 \tabularnewline
0.66 & 221.323789424506 & 0.249606967990694 \tabularnewline
0.67 & 221.36837012734 & 0.2280342941773 \tabularnewline
0.68 & 221.409174196198 & 0.205979125778763 \tabularnewline
0.69 & 221.44628577675 & 0.184461647871985 \tabularnewline
0.7 & 221.479959126481 & 0.164480606493873 \tabularnewline
0.71 & 221.510620780043 & 0.146843456997442 \tabularnewline
0.72 & 221.538858368604 & 0.132903227682751 \tabularnewline
0.73 & 221.56540246691 & 0.122772736678994 \tabularnewline
0.74 & 221.591107565862 & 0.117288706441724 \tabularnewline
0.75 & 221.616935115658 & 0.116593186883654 \tabularnewline
0.76 & 221.643936632025 & 0.12122974029741 \tabularnewline
0.77 & 221.673229944404 & 0.130924777077094 \tabularnewline
0.78 & 221.705958951907 & 0.145796536859327 \tabularnewline
0.79 & 221.743228692148 & 0.165138474242438 \tabularnewline
0.8 & 221.786014285533 & 0.188066040360823 \tabularnewline
0.81 & 221.835054158927 & 0.212945584497244 \tabularnewline
0.82 & 221.890752626207 & 0.237770890851963 \tabularnewline
0.83 & 221.953129724042 & 0.260645647493902 \tabularnewline
0.84 & 222.021860348339 & 0.279409353761415 \tabularnewline
0.85 & 222.096433064716 & 0.293079175738972 \tabularnewline
0.86 & 222.176427975242 & 0.302087663135212 \tabularnewline
0.87 & 222.261868399249 & 0.308308886873868 \tabularnewline
0.88 & 222.353561478855 & 0.31524577742586 \tabularnewline
0.89 & 222.453334862896 & 0.327019931570585 \tabularnewline
0.9 & 222.564114995955 & 0.346710844202646 \tabularnewline
0.91 & 222.689848003221 & 0.375323510387702 \tabularnewline
0.92 & 222.835249146164 & 0.412300648345535 \tabularnewline
0.93 & 223.005192564623 & 0.45647247116379 \tabularnewline
0.94 & 223.203287933027 & 0.503953484356674 \tabularnewline
0.95 & 223.42921135577 & 0.543047275332215 \tabularnewline
0.96 & 223.675169257734 & 0.550069116778272 \tabularnewline
0.97 & 223.923325065213 & 0.497577189896081 \tabularnewline
0.98 & 224.146600175851 & 0.378685086343172 \tabularnewline
0.99 & 224.31379913305 & 0.236571269776853 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238357&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]211.955465812294[/C][C]0.399253814001371[/C][/ROW]
[ROW][C]0.02[/C][C]212.134460811273[/C][C]0.271073493508388[/C][/ROW]
[ROW][C]0.03[/C][C]212.293525086486[/C][C]0.208485228679557[/C][/ROW]
[ROW][C]0.04[/C][C]212.423736140622[/C][C]0.225077474512142[/C][/ROW]
[ROW][C]0.05[/C][C]212.542287372864[/C][C]0.280612286525497[/C][/ROW]
[ROW][C]0.06[/C][C]212.665833979675[/C][C]0.348731510214288[/C][/ROW]
[ROW][C]0.07[/C][C]212.803648088483[/C][C]0.425536748908715[/C][/ROW]
[ROW][C]0.08[/C][C]212.960469757414[/C][C]0.516213623216476[/C][/ROW]
[ROW][C]0.09[/C][C]213.140038038437[/C][C]0.62771166497502[/C][/ROW]
[ROW][C]0.1[/C][C]213.346560989754[/C][C]0.764354203796859[/C][/ROW]
[ROW][C]0.11[/C][C]213.584413077129[/C][C]0.924914102126864[/C][/ROW]
[ROW][C]0.12[/C][C]213.856910134788[/C][C]1.1009663650682[/C][/ROW]
[ROW][C]0.13[/C][C]214.164862399411[/C][C]1.27673610607103[/C][/ROW]
[ROW][C]0.14[/C][C]214.505443906988[/C][C]1.43246170649444[/C][/ROW]
[ROW][C]0.15[/C][C]214.87178044591[/C][C]1.54808991638341[/C][/ROW]
[ROW][C]0.16[/C][C]215.253456137599[/C][C]1.60897144626934[/C][/ROW]
[ROW][C]0.17[/C][C]215.637865812475[/C][C]1.60803968224344[/C][/ROW]
[ROW][C]0.18[/C][C]216.012082713837[/C][C]1.54841171711693[/C][/ROW]
[ROW][C]0.19[/C][C]216.364768998765[/C][C]1.44135257980657[/C][/ROW]
[ROW][C]0.2[/C][C]216.687677240826[/C][C]1.30369216015607[/C][/ROW]
[ROW][C]0.21[/C][C]216.976448834033[/C][C]1.15484468778573[/C][/ROW]
[ROW][C]0.22[/C][C]217.230634652286[/C][C]1.01234330482647[/C][/ROW]
[ROW][C]0.23[/C][C]217.453061952819[/C][C]0.89080992413484[/C][/ROW]
[ROW][C]0.24[/C][C]217.64879371298[/C][C]0.798665340959742[/C][/ROW]
[ROW][C]0.25[/C][C]217.823957020122[/C][C]0.738302500407936[/C][/ROW]
[ROW][C]0.26[/C][C]217.984673954388[/C][C]0.70706763510615[/C][/ROW]
[ROW][C]0.27[/C][C]218.136246007411[/C][C]0.697509385176874[/C][/ROW]
[ROW][C]0.28[/C][C]218.282655019609[/C][C]0.700894880329558[/C][/ROW]
[ROW][C]0.29[/C][C]218.426372309426[/C][C]0.708591727939398[/C][/ROW]
[ROW][C]0.3[/C][C]218.568422096969[/C][C]0.713797526750462[/C][/ROW]
[ROW][C]0.31[/C][C]218.70862428778[/C][C]0.711894750600147[/C][/ROW]
[ROW][C]0.32[/C][C]218.845938928784[/C][C]0.700013241352317[/C][/ROW]
[ROW][C]0.33[/C][C]218.978843168009[/C][C]0.67692287029279[/C][/ROW]
[ROW][C]0.34[/C][C]219.105685845761[/C][C]0.643840058394734[/C][/ROW]
[ROW][C]0.35[/C][C]219.224981373926[/C][C]0.60235970568005[/C][/ROW]
[ROW][C]0.36[/C][C]219.335621171417[/C][C]0.555305917188266[/C][/ROW]
[ROW][C]0.37[/C][C]219.436996131023[/C][C]0.505891600589097[/C][/ROW]
[ROW][C]0.38[/C][C]219.529036156164[/C][C]0.457286112830526[/C][/ROW]
[ROW][C]0.39[/C][C]219.612181715759[/C][C]0.411942230932683[/C][/ROW]
[ROW][C]0.4[/C][C]219.687307060874[/C][C]0.372201122384441[/C][/ROW]
[ROW][C]0.41[/C][C]219.755615332631[/C][C]0.33964721149589[/C][/ROW]
[ROW][C]0.42[/C][C]219.818523079787[/C][C]0.315715579388896[/C][/ROW]
[ROW][C]0.43[/C][C]219.877547036911[/C][C]0.300677281234883[/C][/ROW]
[ROW][C]0.44[/C][C]219.934200914739[/C][C]0.293991010675608[/C][/ROW]
[ROW][C]0.45[/C][C]219.989905743326[/C][C]0.295226729747894[/C][/ROW]
[ROW][C]0.46[/C][C]220.045914791895[/C][C]0.30291512736082[/C][/ROW]
[ROW][C]0.47[/C][C]220.103253410576[/C][C]0.315428180753453[/C][/ROW]
[ROW][C]0.48[/C][C]220.162674823368[/C][C]0.331249654748261[/C][/ROW]
[ROW][C]0.49[/C][C]220.224634064688[/C][C]0.348508745766018[/C][/ROW]
[ROW][C]0.5[/C][C]220.289282910759[/C][C]0.365174997578527[/C][/ROW]
[ROW][C]0.51[/C][C]220.356488053807[/C][C]0.379609786668182[/C][/ROW]
[ROW][C]0.52[/C][C]220.425872619539[/C][C]0.390984095583938[/C][/ROW]
[ROW][C]0.53[/C][C]220.496877740302[/C][C]0.39787909831171[/C][/ROW]
[ROW][C]0.54[/C][C]220.568837092054[/C][C]0.400192613023688[/C][/ROW]
[ROW][C]0.55[/C][C]220.641054200404[/C][C]0.398444634948508[/C][/ROW]
[ROW][C]0.56[/C][C]220.712870997298[/C][C]0.392713759994913[/C][/ROW]
[ROW][C]0.57[/C][C]220.783717255473[/C][C]0.38414391999857[/C][/ROW]
[ROW][C]0.58[/C][C]220.853134186238[/C][C]0.373450406415746[/C][/ROW]
[ROW][C]0.59[/C][C]220.920770970384[/C][C]0.361460959679399[/C][/ROW]
[ROW][C]0.6[/C][C]220.986359016938[/C][C]0.348882862654644[/C][/ROW]
[ROW][C]0.61[/C][C]221.049673756492[/C][C]0.335631961228905[/C][/ROW]
[ROW][C]0.62[/C][C]221.110496395063[/C][C]0.321296716417273[/C][/ROW]
[ROW][C]0.63[/C][C]221.168587502107[/C][C]0.305823608797539[/C][/ROW]
[ROW][C]0.64[/C][C]221.223680678148[/C][C]0.288848634362084[/C][/ROW]
[ROW][C]0.65[/C][C]221.275498833047[/C][C]0.270062238891296[/C][/ROW]
[ROW][C]0.66[/C][C]221.323789424506[/C][C]0.249606967990694[/C][/ROW]
[ROW][C]0.67[/C][C]221.36837012734[/C][C]0.2280342941773[/C][/ROW]
[ROW][C]0.68[/C][C]221.409174196198[/C][C]0.205979125778763[/C][/ROW]
[ROW][C]0.69[/C][C]221.44628577675[/C][C]0.184461647871985[/C][/ROW]
[ROW][C]0.7[/C][C]221.479959126481[/C][C]0.164480606493873[/C][/ROW]
[ROW][C]0.71[/C][C]221.510620780043[/C][C]0.146843456997442[/C][/ROW]
[ROW][C]0.72[/C][C]221.538858368604[/C][C]0.132903227682751[/C][/ROW]
[ROW][C]0.73[/C][C]221.56540246691[/C][C]0.122772736678994[/C][/ROW]
[ROW][C]0.74[/C][C]221.591107565862[/C][C]0.117288706441724[/C][/ROW]
[ROW][C]0.75[/C][C]221.616935115658[/C][C]0.116593186883654[/C][/ROW]
[ROW][C]0.76[/C][C]221.643936632025[/C][C]0.12122974029741[/C][/ROW]
[ROW][C]0.77[/C][C]221.673229944404[/C][C]0.130924777077094[/C][/ROW]
[ROW][C]0.78[/C][C]221.705958951907[/C][C]0.145796536859327[/C][/ROW]
[ROW][C]0.79[/C][C]221.743228692148[/C][C]0.165138474242438[/C][/ROW]
[ROW][C]0.8[/C][C]221.786014285533[/C][C]0.188066040360823[/C][/ROW]
[ROW][C]0.81[/C][C]221.835054158927[/C][C]0.212945584497244[/C][/ROW]
[ROW][C]0.82[/C][C]221.890752626207[/C][C]0.237770890851963[/C][/ROW]
[ROW][C]0.83[/C][C]221.953129724042[/C][C]0.260645647493902[/C][/ROW]
[ROW][C]0.84[/C][C]222.021860348339[/C][C]0.279409353761415[/C][/ROW]
[ROW][C]0.85[/C][C]222.096433064716[/C][C]0.293079175738972[/C][/ROW]
[ROW][C]0.86[/C][C]222.176427975242[/C][C]0.302087663135212[/C][/ROW]
[ROW][C]0.87[/C][C]222.261868399249[/C][C]0.308308886873868[/C][/ROW]
[ROW][C]0.88[/C][C]222.353561478855[/C][C]0.31524577742586[/C][/ROW]
[ROW][C]0.89[/C][C]222.453334862896[/C][C]0.327019931570585[/C][/ROW]
[ROW][C]0.9[/C][C]222.564114995955[/C][C]0.346710844202646[/C][/ROW]
[ROW][C]0.91[/C][C]222.689848003221[/C][C]0.375323510387702[/C][/ROW]
[ROW][C]0.92[/C][C]222.835249146164[/C][C]0.412300648345535[/C][/ROW]
[ROW][C]0.93[/C][C]223.005192564623[/C][C]0.45647247116379[/C][/ROW]
[ROW][C]0.94[/C][C]223.203287933027[/C][C]0.503953484356674[/C][/ROW]
[ROW][C]0.95[/C][C]223.42921135577[/C][C]0.543047275332215[/C][/ROW]
[ROW][C]0.96[/C][C]223.675169257734[/C][C]0.550069116778272[/C][/ROW]
[ROW][C]0.97[/C][C]223.923325065213[/C][C]0.497577189896081[/C][/ROW]
[ROW][C]0.98[/C][C]224.146600175851[/C][C]0.378685086343172[/C][/ROW]
[ROW][C]0.99[/C][C]224.31379913305[/C][C]0.236571269776853[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238357&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238357&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
0.01211.9554658122940.399253814001371
0.02212.1344608112730.271073493508388
0.03212.2935250864860.208485228679557
0.04212.4237361406220.225077474512142
0.05212.5422873728640.280612286525497
0.06212.6658339796750.348731510214288
0.07212.8036480884830.425536748908715
0.08212.9604697574140.516213623216476
0.09213.1400380384370.62771166497502
0.1213.3465609897540.764354203796859
0.11213.5844130771290.924914102126864
0.12213.8569101347881.1009663650682
0.13214.1648623994111.27673610607103
0.14214.5054439069881.43246170649444
0.15214.871780445911.54808991638341
0.16215.2534561375991.60897144626934
0.17215.6378658124751.60803968224344
0.18216.0120827138371.54841171711693
0.19216.3647689987651.44135257980657
0.2216.6876772408261.30369216015607
0.21216.9764488340331.15484468778573
0.22217.2306346522861.01234330482647
0.23217.4530619528190.89080992413484
0.24217.648793712980.798665340959742
0.25217.8239570201220.738302500407936
0.26217.9846739543880.70706763510615
0.27218.1362460074110.697509385176874
0.28218.2826550196090.700894880329558
0.29218.4263723094260.708591727939398
0.3218.5684220969690.713797526750462
0.31218.708624287780.711894750600147
0.32218.8459389287840.700013241352317
0.33218.9788431680090.67692287029279
0.34219.1056858457610.643840058394734
0.35219.2249813739260.60235970568005
0.36219.3356211714170.555305917188266
0.37219.4369961310230.505891600589097
0.38219.5290361561640.457286112830526
0.39219.6121817157590.411942230932683
0.4219.6873070608740.372201122384441
0.41219.7556153326310.33964721149589
0.42219.8185230797870.315715579388896
0.43219.8775470369110.300677281234883
0.44219.9342009147390.293991010675608
0.45219.9899057433260.295226729747894
0.46220.0459147918950.30291512736082
0.47220.1032534105760.315428180753453
0.48220.1626748233680.331249654748261
0.49220.2246340646880.348508745766018
0.5220.2892829107590.365174997578527
0.51220.3564880538070.379609786668182
0.52220.4258726195390.390984095583938
0.53220.4968777403020.39787909831171
0.54220.5688370920540.400192613023688
0.55220.6410542004040.398444634948508
0.56220.7128709972980.392713759994913
0.57220.7837172554730.38414391999857
0.58220.8531341862380.373450406415746
0.59220.9207709703840.361460959679399
0.6220.9863590169380.348882862654644
0.61221.0496737564920.335631961228905
0.62221.1104963950630.321296716417273
0.63221.1685875021070.305823608797539
0.64221.2236806781480.288848634362084
0.65221.2754988330470.270062238891296
0.66221.3237894245060.249606967990694
0.67221.368370127340.2280342941773
0.68221.4091741961980.205979125778763
0.69221.446285776750.184461647871985
0.7221.4799591264810.164480606493873
0.71221.5106207800430.146843456997442
0.72221.5388583686040.132903227682751
0.73221.565402466910.122772736678994
0.74221.5911075658620.117288706441724
0.75221.6169351156580.116593186883654
0.76221.6439366320250.12122974029741
0.77221.6732299444040.130924777077094
0.78221.7059589519070.145796536859327
0.79221.7432286921480.165138474242438
0.8221.7860142855330.188066040360823
0.81221.8350541589270.212945584497244
0.82221.8907526262070.237770890851963
0.83221.9531297240420.260645647493902
0.84222.0218603483390.279409353761415
0.85222.0964330647160.293079175738972
0.86222.1764279752420.302087663135212
0.87222.2618683992490.308308886873868
0.88222.3535614788550.31524577742586
0.89222.4533348628960.327019931570585
0.9222.5641149959550.346710844202646
0.91222.6898480032210.375323510387702
0.92222.8352491461640.412300648345535
0.93223.0051925646230.45647247116379
0.94223.2032879330270.503953484356674
0.95223.429211355770.543047275332215
0.96223.6751692577340.550069116778272
0.97223.9233250652130.497577189896081
0.98224.1466001758510.378685086343172
0.99224.313799133050.236571269776853


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')