FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 01 Oct 2014 19:19:37 +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/01/t1412187705x6ojw370salopfx.htm/, Retrieved Sun, 12 May 2024 13:59:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=237772, Retrieved Sun, 12 May 2024 13:59:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact51

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Quartiles] [] [2014-10-01 17:20:10] [754a3b16619ece0fc2203bb885e0cd98]
- RMPD    [Harrell-Davis Quantiles] [] [2014-10-01 18:19:37] [fa76cbd0c9542d7a6f5f3c5daec42b95] [Current]
- R PD      [Harrell-Davis Quantiles] [] [2014-10-13 15:11:04] [754a3b16619ece0fc2203bb885e0cd98]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
75
84,3
84
79,1
78,8
82,7
85,3
84,5
80,8
70,1
68,2
68,1
72,3
73,1
71,5
74,1
80,3
80,6
81,4
87,4
89,3
93,2
92,8
96,8
100,3
95,6
89
87,4
86,7
92,8
98,6
100,8
105,5
107,8
113,7
120,3
126,5
134,8
134,5
133,1
128,8
127,1
129,1
128,4
126,5
117,1
114,2
109,1
110,3
109,2
103,6
98,9
95,9
91,2
98,7
94,5
95,6
93,8
89,5
87,1
87,1
84,5
84,2
83,7
82,2
77,7
78,5
79,1
78,6
79
76,2
77,8

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=237772&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=237772&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=237772&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0168.32028942849620.630740519401181
0.0268.81547797962721.26036925442998
0.0369.5278979290451.65368502145103
0.0470.34451065017751.80191395755907
0.0571.17149119323381.8327283779945
0.0671.96245715394871.85263189376117
0.0772.70885259450161.90139261692304
0.0873.41879150644051.96955738702483
0.0974.10104568868062.0289507098003
0.174.75806639777482.05268782657678
0.1175.38562426685362.02481613236188
0.1275.97562589690041.94229568863638
0.1376.51962631010351.81410651224949
0.1477.01168289868351.65724010786067
0.1577.45000319576221.49269548505893
0.1677.83734605655651.34112608532945
0.1778.18042824901131.2200769760504
0.1878.48871755203991.14098994568809
0.1978.77299717360781.10888143287897
0.279.04400832369861.1212000511394
0.2179.31136493789561.17009204907666
0.2279.58282508020741.244946674489
0.2379.86391965235871.33463420822361
0.2480.15788744341241.42916199171813
0.2580.46584290917051.51988979238795
0.2680.787101499681.60010266987956
0.2781.1195980293491.66476338017137
0.2881.46034848452291.71114573317573
0.2981.80591860486131.73808741575002
0.382.15287013290851.74658672295706
0.3182.49815769979961.73967846764156
0.3282.83944878667721.72197926405391
0.3383.17534048988471.69911952595202
0.3483.50545376050941.67710256552632
0.3583.83039972870831.66193490476678
0.3684.15163164663111.6579268489342
0.3784.47121508874631.66750950846873
0.3884.79156250708791.69155756419445
0.3985.11518142616921.72892303193032
0.485.44447686899811.77755656927089
0.4185.78163015654571.8356554681319
0.4286.1285532623551.90139316724834
0.4386.4868971066281.97388358655235
0.4486.85807950493512.05248768737605
0.4587.24329734658472.13703556148901
0.4687.64349783188212.2263251049593
0.4788.05930174769912.31857550392655
0.4888.49089213466212.41096418144159
0.4988.93789821936592.49925006347881
0.589.39931243894032.57912198180311
0.5189.87347567585512.64634819773759
0.5290.35815338219782.69712102306491
0.5390.85070661421832.72947924348582
0.5491.3483420879762.74295023515192
0.5591.84840922380842.73962428079494
0.5692.34870353903182.72283891071769
0.5792.84773632089772.69781075511005
0.5893.34493951506642.67053418694499
0.5993.84078937283662.64717027016948
0.694.33684848981472.63426447145314
0.6194.83573904814972.63700113195544
0.6295.34106675501832.66012989418986
0.6395.8573133049672.70753375742087
0.6496.38970574219252.78214213892982
0.6596.9440570645692.88612586233952
0.6697.52655928038613.02074733453068
0.6798.14350454938873.1855248191511
0.6898.80091792376543.37840885197969
0.6999.50410933227763.59364480724989
0.7100.2571902456453.82336388793865
0.71101.0626429077614.05663895600816
0.72101.9210626533474.28080207863769
0.73102.8312002255214.48405722503662
0.74103.7903981367054.65778992376386
0.75104.7954390276424.79840870805791
0.76105.843713483954.90995102692498
0.77106.9344914226295.00404584953602
0.78108.0699752558485.09844069884943
0.79109.2557572761265.21299891377745
0.8110.5003271620375.36442432744253
0.81111.8133993563435.55904879464706
0.82113.2030634163965.78757487909556
0.83114.672091924176.02173723690651
0.84116.2141234899556.21655673110404
0.85117.8107759517626.31638771696836
0.86119.4308935458596.26670149223042
0.87121.0329436876876.02848754587839
0.88122.5709817078185.5921656035644
0.89124.0036706445714.98662526247599
0.9125.30478638984.27996654602959
0.91126.4726615808133.57139910686789
0.92127.5351888097842.97631556671175
0.93128.5463846832422.6025504006315
0.94129.570794270112.49503987182927
0.95130.6550463516072.55987169473091
0.96131.793703872612.57367542362072
0.97132.9076643492022.30085127238204
0.98133.8584602357721.65231344580753
0.99134.5078028228450.824259270414911

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 68.3202894284962 & 0.630740519401181 \tabularnewline
0.02 & 68.8154779796272 & 1.26036925442998 \tabularnewline
0.03 & 69.527897929045 & 1.65368502145103 \tabularnewline
0.04 & 70.3445106501775 & 1.80191395755907 \tabularnewline
0.05 & 71.1714911932338 & 1.8327283779945 \tabularnewline
0.06 & 71.9624571539487 & 1.85263189376117 \tabularnewline
0.07 & 72.7088525945016 & 1.90139261692304 \tabularnewline
0.08 & 73.4187915064405 & 1.96955738702483 \tabularnewline
0.09 & 74.1010456886806 & 2.0289507098003 \tabularnewline
0.1 & 74.7580663977748 & 2.05268782657678 \tabularnewline
0.11 & 75.3856242668536 & 2.02481613236188 \tabularnewline
0.12 & 75.9756258969004 & 1.94229568863638 \tabularnewline
0.13 & 76.5196263101035 & 1.81410651224949 \tabularnewline
0.14 & 77.0116828986835 & 1.65724010786067 \tabularnewline
0.15 & 77.4500031957622 & 1.49269548505893 \tabularnewline
0.16 & 77.8373460565565 & 1.34112608532945 \tabularnewline
0.17 & 78.1804282490113 & 1.2200769760504 \tabularnewline
0.18 & 78.4887175520399 & 1.14098994568809 \tabularnewline
0.19 & 78.7729971736078 & 1.10888143287897 \tabularnewline
0.2 & 79.0440083236986 & 1.1212000511394 \tabularnewline
0.21 & 79.3113649378956 & 1.17009204907666 \tabularnewline
0.22 & 79.5828250802074 & 1.244946674489 \tabularnewline
0.23 & 79.8639196523587 & 1.33463420822361 \tabularnewline
0.24 & 80.1578874434124 & 1.42916199171813 \tabularnewline
0.25 & 80.4658429091705 & 1.51988979238795 \tabularnewline
0.26 & 80.78710149968 & 1.60010266987956 \tabularnewline
0.27 & 81.119598029349 & 1.66476338017137 \tabularnewline
0.28 & 81.4603484845229 & 1.71114573317573 \tabularnewline
0.29 & 81.8059186048613 & 1.73808741575002 \tabularnewline
0.3 & 82.1528701329085 & 1.74658672295706 \tabularnewline
0.31 & 82.4981576997996 & 1.73967846764156 \tabularnewline
0.32 & 82.8394487866772 & 1.72197926405391 \tabularnewline
0.33 & 83.1753404898847 & 1.69911952595202 \tabularnewline
0.34 & 83.5054537605094 & 1.67710256552632 \tabularnewline
0.35 & 83.8303997287083 & 1.66193490476678 \tabularnewline
0.36 & 84.1516316466311 & 1.6579268489342 \tabularnewline
0.37 & 84.4712150887463 & 1.66750950846873 \tabularnewline
0.38 & 84.7915625070879 & 1.69155756419445 \tabularnewline
0.39 & 85.1151814261692 & 1.72892303193032 \tabularnewline
0.4 & 85.4444768689981 & 1.77755656927089 \tabularnewline
0.41 & 85.7816301565457 & 1.8356554681319 \tabularnewline
0.42 & 86.128553262355 & 1.90139316724834 \tabularnewline
0.43 & 86.486897106628 & 1.97388358655235 \tabularnewline
0.44 & 86.8580795049351 & 2.05248768737605 \tabularnewline
0.45 & 87.2432973465847 & 2.13703556148901 \tabularnewline
0.46 & 87.6434978318821 & 2.2263251049593 \tabularnewline
0.47 & 88.0593017476991 & 2.31857550392655 \tabularnewline
0.48 & 88.4908921346621 & 2.41096418144159 \tabularnewline
0.49 & 88.9378982193659 & 2.49925006347881 \tabularnewline
0.5 & 89.3993124389403 & 2.57912198180311 \tabularnewline
0.51 & 89.8734756758551 & 2.64634819773759 \tabularnewline
0.52 & 90.3581533821978 & 2.69712102306491 \tabularnewline
0.53 & 90.8507066142183 & 2.72947924348582 \tabularnewline
0.54 & 91.348342087976 & 2.74295023515192 \tabularnewline
0.55 & 91.8484092238084 & 2.73962428079494 \tabularnewline
0.56 & 92.3487035390318 & 2.72283891071769 \tabularnewline
0.57 & 92.8477363208977 & 2.69781075511005 \tabularnewline
0.58 & 93.3449395150664 & 2.67053418694499 \tabularnewline
0.59 & 93.8407893728366 & 2.64717027016948 \tabularnewline
0.6 & 94.3368484898147 & 2.63426447145314 \tabularnewline
0.61 & 94.8357390481497 & 2.63700113195544 \tabularnewline
0.62 & 95.3410667550183 & 2.66012989418986 \tabularnewline
0.63 & 95.857313304967 & 2.70753375742087 \tabularnewline
0.64 & 96.3897057421925 & 2.78214213892982 \tabularnewline
0.65 & 96.944057064569 & 2.88612586233952 \tabularnewline
0.66 & 97.5265592803861 & 3.02074733453068 \tabularnewline
0.67 & 98.1435045493887 & 3.1855248191511 \tabularnewline
0.68 & 98.8009179237654 & 3.37840885197969 \tabularnewline
0.69 & 99.5041093322776 & 3.59364480724989 \tabularnewline
0.7 & 100.257190245645 & 3.82336388793865 \tabularnewline
0.71 & 101.062642907761 & 4.05663895600816 \tabularnewline
0.72 & 101.921062653347 & 4.28080207863769 \tabularnewline
0.73 & 102.831200225521 & 4.48405722503662 \tabularnewline
0.74 & 103.790398136705 & 4.65778992376386 \tabularnewline
0.75 & 104.795439027642 & 4.79840870805791 \tabularnewline
0.76 & 105.84371348395 & 4.90995102692498 \tabularnewline
0.77 & 106.934491422629 & 5.00404584953602 \tabularnewline
0.78 & 108.069975255848 & 5.09844069884943 \tabularnewline
0.79 & 109.255757276126 & 5.21299891377745 \tabularnewline
0.8 & 110.500327162037 & 5.36442432744253 \tabularnewline
0.81 & 111.813399356343 & 5.55904879464706 \tabularnewline
0.82 & 113.203063416396 & 5.78757487909556 \tabularnewline
0.83 & 114.67209192417 & 6.02173723690651 \tabularnewline
0.84 & 116.214123489955 & 6.21655673110404 \tabularnewline
0.85 & 117.810775951762 & 6.31638771696836 \tabularnewline
0.86 & 119.430893545859 & 6.26670149223042 \tabularnewline
0.87 & 121.032943687687 & 6.02848754587839 \tabularnewline
0.88 & 122.570981707818 & 5.5921656035644 \tabularnewline
0.89 & 124.003670644571 & 4.98662526247599 \tabularnewline
0.9 & 125.3047863898 & 4.27996654602959 \tabularnewline
0.91 & 126.472661580813 & 3.57139910686789 \tabularnewline
0.92 & 127.535188809784 & 2.97631556671175 \tabularnewline
0.93 & 128.546384683242 & 2.6025504006315 \tabularnewline
0.94 & 129.57079427011 & 2.49503987182927 \tabularnewline
0.95 & 130.655046351607 & 2.55987169473091 \tabularnewline
0.96 & 131.79370387261 & 2.57367542362072 \tabularnewline
0.97 & 132.907664349202 & 2.30085127238204 \tabularnewline
0.98 & 133.858460235772 & 1.65231344580753 \tabularnewline
0.99 & 134.507802822845 & 0.824259270414911 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=237772&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]68.3202894284962[/C][C]0.630740519401181[/C][/ROW]
[ROW][C]0.02[/C][C]68.8154779796272[/C][C]1.26036925442998[/C][/ROW]
[ROW][C]0.03[/C][C]69.527897929045[/C][C]1.65368502145103[/C][/ROW]
[ROW][C]0.04[/C][C]70.3445106501775[/C][C]1.80191395755907[/C][/ROW]
[ROW][C]0.05[/C][C]71.1714911932338[/C][C]1.8327283779945[/C][/ROW]
[ROW][C]0.06[/C][C]71.9624571539487[/C][C]1.85263189376117[/C][/ROW]
[ROW][C]0.07[/C][C]72.7088525945016[/C][C]1.90139261692304[/C][/ROW]
[ROW][C]0.08[/C][C]73.4187915064405[/C][C]1.96955738702483[/C][/ROW]
[ROW][C]0.09[/C][C]74.1010456886806[/C][C]2.0289507098003[/C][/ROW]
[ROW][C]0.1[/C][C]74.7580663977748[/C][C]2.05268782657678[/C][/ROW]
[ROW][C]0.11[/C][C]75.3856242668536[/C][C]2.02481613236188[/C][/ROW]
[ROW][C]0.12[/C][C]75.9756258969004[/C][C]1.94229568863638[/C][/ROW]
[ROW][C]0.13[/C][C]76.5196263101035[/C][C]1.81410651224949[/C][/ROW]
[ROW][C]0.14[/C][C]77.0116828986835[/C][C]1.65724010786067[/C][/ROW]
[ROW][C]0.15[/C][C]77.4500031957622[/C][C]1.49269548505893[/C][/ROW]
[ROW][C]0.16[/C][C]77.8373460565565[/C][C]1.34112608532945[/C][/ROW]
[ROW][C]0.17[/C][C]78.1804282490113[/C][C]1.2200769760504[/C][/ROW]
[ROW][C]0.18[/C][C]78.4887175520399[/C][C]1.14098994568809[/C][/ROW]
[ROW][C]0.19[/C][C]78.7729971736078[/C][C]1.10888143287897[/C][/ROW]
[ROW][C]0.2[/C][C]79.0440083236986[/C][C]1.1212000511394[/C][/ROW]
[ROW][C]0.21[/C][C]79.3113649378956[/C][C]1.17009204907666[/C][/ROW]
[ROW][C]0.22[/C][C]79.5828250802074[/C][C]1.244946674489[/C][/ROW]
[ROW][C]0.23[/C][C]79.8639196523587[/C][C]1.33463420822361[/C][/ROW]
[ROW][C]0.24[/C][C]80.1578874434124[/C][C]1.42916199171813[/C][/ROW]
[ROW][C]0.25[/C][C]80.4658429091705[/C][C]1.51988979238795[/C][/ROW]
[ROW][C]0.26[/C][C]80.78710149968[/C][C]1.60010266987956[/C][/ROW]
[ROW][C]0.27[/C][C]81.119598029349[/C][C]1.66476338017137[/C][/ROW]
[ROW][C]0.28[/C][C]81.4603484845229[/C][C]1.71114573317573[/C][/ROW]
[ROW][C]0.29[/C][C]81.8059186048613[/C][C]1.73808741575002[/C][/ROW]
[ROW][C]0.3[/C][C]82.1528701329085[/C][C]1.74658672295706[/C][/ROW]
[ROW][C]0.31[/C][C]82.4981576997996[/C][C]1.73967846764156[/C][/ROW]
[ROW][C]0.32[/C][C]82.8394487866772[/C][C]1.72197926405391[/C][/ROW]
[ROW][C]0.33[/C][C]83.1753404898847[/C][C]1.69911952595202[/C][/ROW]
[ROW][C]0.34[/C][C]83.5054537605094[/C][C]1.67710256552632[/C][/ROW]
[ROW][C]0.35[/C][C]83.8303997287083[/C][C]1.66193490476678[/C][/ROW]
[ROW][C]0.36[/C][C]84.1516316466311[/C][C]1.6579268489342[/C][/ROW]
[ROW][C]0.37[/C][C]84.4712150887463[/C][C]1.66750950846873[/C][/ROW]
[ROW][C]0.38[/C][C]84.7915625070879[/C][C]1.69155756419445[/C][/ROW]
[ROW][C]0.39[/C][C]85.1151814261692[/C][C]1.72892303193032[/C][/ROW]
[ROW][C]0.4[/C][C]85.4444768689981[/C][C]1.77755656927089[/C][/ROW]
[ROW][C]0.41[/C][C]85.7816301565457[/C][C]1.8356554681319[/C][/ROW]
[ROW][C]0.42[/C][C]86.128553262355[/C][C]1.90139316724834[/C][/ROW]
[ROW][C]0.43[/C][C]86.486897106628[/C][C]1.97388358655235[/C][/ROW]
[ROW][C]0.44[/C][C]86.8580795049351[/C][C]2.05248768737605[/C][/ROW]
[ROW][C]0.45[/C][C]87.2432973465847[/C][C]2.13703556148901[/C][/ROW]
[ROW][C]0.46[/C][C]87.6434978318821[/C][C]2.2263251049593[/C][/ROW]
[ROW][C]0.47[/C][C]88.0593017476991[/C][C]2.31857550392655[/C][/ROW]
[ROW][C]0.48[/C][C]88.4908921346621[/C][C]2.41096418144159[/C][/ROW]
[ROW][C]0.49[/C][C]88.9378982193659[/C][C]2.49925006347881[/C][/ROW]
[ROW][C]0.5[/C][C]89.3993124389403[/C][C]2.57912198180311[/C][/ROW]
[ROW][C]0.51[/C][C]89.8734756758551[/C][C]2.64634819773759[/C][/ROW]
[ROW][C]0.52[/C][C]90.3581533821978[/C][C]2.69712102306491[/C][/ROW]
[ROW][C]0.53[/C][C]90.8507066142183[/C][C]2.72947924348582[/C][/ROW]
[ROW][C]0.54[/C][C]91.348342087976[/C][C]2.74295023515192[/C][/ROW]
[ROW][C]0.55[/C][C]91.8484092238084[/C][C]2.73962428079494[/C][/ROW]
[ROW][C]0.56[/C][C]92.3487035390318[/C][C]2.72283891071769[/C][/ROW]
[ROW][C]0.57[/C][C]92.8477363208977[/C][C]2.69781075511005[/C][/ROW]
[ROW][C]0.58[/C][C]93.3449395150664[/C][C]2.67053418694499[/C][/ROW]
[ROW][C]0.59[/C][C]93.8407893728366[/C][C]2.64717027016948[/C][/ROW]
[ROW][C]0.6[/C][C]94.3368484898147[/C][C]2.63426447145314[/C][/ROW]
[ROW][C]0.61[/C][C]94.8357390481497[/C][C]2.63700113195544[/C][/ROW]
[ROW][C]0.62[/C][C]95.3410667550183[/C][C]2.66012989418986[/C][/ROW]
[ROW][C]0.63[/C][C]95.857313304967[/C][C]2.70753375742087[/C][/ROW]
[ROW][C]0.64[/C][C]96.3897057421925[/C][C]2.78214213892982[/C][/ROW]
[ROW][C]0.65[/C][C]96.944057064569[/C][C]2.88612586233952[/C][/ROW]
[ROW][C]0.66[/C][C]97.5265592803861[/C][C]3.02074733453068[/C][/ROW]
[ROW][C]0.67[/C][C]98.1435045493887[/C][C]3.1855248191511[/C][/ROW]
[ROW][C]0.68[/C][C]98.8009179237654[/C][C]3.37840885197969[/C][/ROW]
[ROW][C]0.69[/C][C]99.5041093322776[/C][C]3.59364480724989[/C][/ROW]
[ROW][C]0.7[/C][C]100.257190245645[/C][C]3.82336388793865[/C][/ROW]
[ROW][C]0.71[/C][C]101.062642907761[/C][C]4.05663895600816[/C][/ROW]
[ROW][C]0.72[/C][C]101.921062653347[/C][C]4.28080207863769[/C][/ROW]
[ROW][C]0.73[/C][C]102.831200225521[/C][C]4.48405722503662[/C][/ROW]
[ROW][C]0.74[/C][C]103.790398136705[/C][C]4.65778992376386[/C][/ROW]
[ROW][C]0.75[/C][C]104.795439027642[/C][C]4.79840870805791[/C][/ROW]
[ROW][C]0.76[/C][C]105.84371348395[/C][C]4.90995102692498[/C][/ROW]
[ROW][C]0.77[/C][C]106.934491422629[/C][C]5.00404584953602[/C][/ROW]
[ROW][C]0.78[/C][C]108.069975255848[/C][C]5.09844069884943[/C][/ROW]
[ROW][C]0.79[/C][C]109.255757276126[/C][C]5.21299891377745[/C][/ROW]
[ROW][C]0.8[/C][C]110.500327162037[/C][C]5.36442432744253[/C][/ROW]
[ROW][C]0.81[/C][C]111.813399356343[/C][C]5.55904879464706[/C][/ROW]
[ROW][C]0.82[/C][C]113.203063416396[/C][C]5.78757487909556[/C][/ROW]
[ROW][C]0.83[/C][C]114.67209192417[/C][C]6.02173723690651[/C][/ROW]
[ROW][C]0.84[/C][C]116.214123489955[/C][C]6.21655673110404[/C][/ROW]
[ROW][C]0.85[/C][C]117.810775951762[/C][C]6.31638771696836[/C][/ROW]
[ROW][C]0.86[/C][C]119.430893545859[/C][C]6.26670149223042[/C][/ROW]
[ROW][C]0.87[/C][C]121.032943687687[/C][C]6.02848754587839[/C][/ROW]
[ROW][C]0.88[/C][C]122.570981707818[/C][C]5.5921656035644[/C][/ROW]
[ROW][C]0.89[/C][C]124.003670644571[/C][C]4.98662526247599[/C][/ROW]
[ROW][C]0.9[/C][C]125.3047863898[/C][C]4.27996654602959[/C][/ROW]
[ROW][C]0.91[/C][C]126.472661580813[/C][C]3.57139910686789[/C][/ROW]
[ROW][C]0.92[/C][C]127.535188809784[/C][C]2.97631556671175[/C][/ROW]
[ROW][C]0.93[/C][C]128.546384683242[/C][C]2.6025504006315[/C][/ROW]
[ROW][C]0.94[/C][C]129.57079427011[/C][C]2.49503987182927[/C][/ROW]
[ROW][C]0.95[/C][C]130.655046351607[/C][C]2.55987169473091[/C][/ROW]
[ROW][C]0.96[/C][C]131.79370387261[/C][C]2.57367542362072[/C][/ROW]
[ROW][C]0.97[/C][C]132.907664349202[/C][C]2.30085127238204[/C][/ROW]
[ROW][C]0.98[/C][C]133.858460235772[/C][C]1.65231344580753[/C][/ROW]
[ROW][C]0.99[/C][C]134.507802822845[/C][C]0.824259270414911[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=237772&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=237772&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
0.0168.32028942849620.630740519401181
0.0268.81547797962721.26036925442998
0.0369.5278979290451.65368502145103
0.0470.34451065017751.80191395755907
0.0571.17149119323381.8327283779945
0.0671.96245715394871.85263189376117
0.0772.70885259450161.90139261692304
0.0873.41879150644051.96955738702483
0.0974.10104568868062.0289507098003
0.174.75806639777482.05268782657678
0.1175.38562426685362.02481613236188
0.1275.97562589690041.94229568863638
0.1376.51962631010351.81410651224949
0.1477.01168289868351.65724010786067
0.1577.45000319576221.49269548505893
0.1677.83734605655651.34112608532945
0.1778.18042824901131.2200769760504
0.1878.48871755203991.14098994568809
0.1978.77299717360781.10888143287897
0.279.04400832369861.1212000511394
0.2179.31136493789561.17009204907666
0.2279.58282508020741.244946674489
0.2379.86391965235871.33463420822361
0.2480.15788744341241.42916199171813
0.2580.46584290917051.51988979238795
0.2680.787101499681.60010266987956
0.2781.1195980293491.66476338017137
0.2881.46034848452291.71114573317573
0.2981.80591860486131.73808741575002
0.382.15287013290851.74658672295706
0.3182.49815769979961.73967846764156
0.3282.83944878667721.72197926405391
0.3383.17534048988471.69911952595202
0.3483.50545376050941.67710256552632
0.3583.83039972870831.66193490476678
0.3684.15163164663111.6579268489342
0.3784.47121508874631.66750950846873
0.3884.79156250708791.69155756419445
0.3985.11518142616921.72892303193032
0.485.44447686899811.77755656927089
0.4185.78163015654571.8356554681319
0.4286.1285532623551.90139316724834
0.4386.4868971066281.97388358655235
0.4486.85807950493512.05248768737605
0.4587.24329734658472.13703556148901
0.4687.64349783188212.2263251049593
0.4788.05930174769912.31857550392655
0.4888.49089213466212.41096418144159
0.4988.93789821936592.49925006347881
0.589.39931243894032.57912198180311
0.5189.87347567585512.64634819773759
0.5290.35815338219782.69712102306491
0.5390.85070661421832.72947924348582
0.5491.3483420879762.74295023515192
0.5591.84840922380842.73962428079494
0.5692.34870353903182.72283891071769
0.5792.84773632089772.69781075511005
0.5893.34493951506642.67053418694499
0.5993.84078937283662.64717027016948
0.694.33684848981472.63426447145314
0.6194.83573904814972.63700113195544
0.6295.34106675501832.66012989418986
0.6395.8573133049672.70753375742087
0.6496.38970574219252.78214213892982
0.6596.9440570645692.88612586233952
0.6697.52655928038613.02074733453068
0.6798.14350454938873.1855248191511
0.6898.80091792376543.37840885197969
0.6999.50410933227763.59364480724989
0.7100.2571902456453.82336388793865
0.71101.0626429077614.05663895600816
0.72101.9210626533474.28080207863769
0.73102.8312002255214.48405722503662
0.74103.7903981367054.65778992376386
0.75104.7954390276424.79840870805791
0.76105.843713483954.90995102692498
0.77106.9344914226295.00404584953602
0.78108.0699752558485.09844069884943
0.79109.2557572761265.21299891377745
0.8110.5003271620375.36442432744253
0.81111.8133993563435.55904879464706
0.82113.2030634163965.78757487909556
0.83114.672091924176.02173723690651
0.84116.2141234899556.21655673110404
0.85117.8107759517626.31638771696836
0.86119.4308935458596.26670149223042
0.87121.0329436876876.02848754587839
0.88122.5709817078185.5921656035644
0.89124.0036706445714.98662526247599
0.9125.30478638984.27996654602959
0.91126.4726615808133.57139910686789
0.92127.5351888097842.97631556671175
0.93128.5463846832422.6025504006315
0.94129.570794270112.49503987182927
0.95130.6550463516072.55987169473091
0.96131.793703872612.57367542362072
0.97132.9076643492022.30085127238204
0.98133.8584602357721.65231344580753
0.99134.5078028228450.824259270414911


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')