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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 computationMon, 17 Aug 2009 12:13:16 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Aug/17/t1250533154eloqnh32ccv07vb.htm/, Retrieved Tue, 30 Apr 2024 10:40:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42719, Retrieved Tue, 30 Apr 2024 10:40:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact150

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] [Percentielen - Ge...] [2009-08-17 18:13:16] [b3f4824a747975de0748bc1b396f9742] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15.22
15.27
15.31
15.33
15.42
15.49
15.65
15.67
15.69
15.83
15.92
15.99
15.94
15.96
16.03
16.09
16.04
16.23
16.2
16.2
16.26
16.28
16.27
16.29
16.3
16.37
16.39
16.42
16.43
16.37
16.37
16.39
16.48
16.51
16.5
16.54
16.52
16.56
16.61
16.75
16.75
16.79
16.82
16.84
17.14
17.25
17.28
17.3
17.34
17.44
17.48
17.55
17.59
17.66
17.67
17.64
17.68
17.72
17.78
17.83
17.88
18.11
18.16
18.27
18.29
18.35
18.35
18.38
18.41
18.41
18.42
18.43
18.48
18.54
18.65
18.66
18.69
18.72
18.72
18.73
18.84
18.83
18.91
18.91
18.94
18.97
19
19.08
19.18
19.24
19.23
19.25
19.3
19.33
19.35
19.35
19.31
19.47
19.7
19.76
19.9
19.97
20.1
20.26
20.44
20.43
20.57
20.6
20.69
20.93
20.98
21.11
21.14
21.16
21.32
21.32
21.48
21.58
21.74
21.75
21.81
21.89
22.21
22.37
22.47
22.51
22.55
22.61
22.58
22.85
22.93
22.98

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'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42719&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42719&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42719&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0115.26015481509720.0520319859316995
0.0215.32343862725190.0830242818797049
0.0315.40157126341140.126771261823309
0.0415.49385483566980.157638108977240
0.0515.59167372733650.169289632764534
0.0615.68604527482090.168621527300171
0.0715.77222847168230.161534102286069
0.0815.84879397601610.150632276287692
0.0915.91608655535380.139258928387170
0.115.97558636535980.131066352366884
0.1116.02929520596810.126852143512082
0.1216.07886182535370.124152386691833
0.1316.12501669475490.119967473602623
0.1416.16768314442420.113140543939307
0.1516.20652568898540.104421743541781
0.1616.24146386476670.0956722313200822
0.1716.27287531429350.0885715890244836
0.1816.30150908604040.0840109326990863
0.1916.32828469250310.0821735901288065
0.216.35413407081270.082961665554334
0.2116.37994582141420.0864522782445405
0.2216.40658926262870.0928583183553503
0.2316.43496691313120.102630187572517
0.2416.46605377370930.116250484953672
0.2516.50090117671830.134098927419541
0.2616.54059572663920.156291384244139
0.2716.58617078033150.182424798201848
0.2816.63847624897390.211624197095581
0.2916.69802533271700.242184173681967
0.316.76485045497590.271912372549869
0.3116.83840833565910.298411471667561
0.3216.91757047568890.319315053154786
0.3317.00071906928940.332867489605161
0.3417.08594304672040.338295357985772
0.3517.17130202903330.336057590684656
0.3617.25510628010230.327583532004528
0.3717.33615475135650.315345086796185
0.3817.41388223214510.302188663230057
0.3917.48838638113990.290827773521575
0.417.56032969582040.283438000862074
0.4117.63073518616000.281135164401463
0.4217.70071498709380.283700815801909
0.4317.77118651427160.289508224345905
0.4417.84263780708860.296158320486825
0.4517.91499784848690.300948500232407
0.4617.98764598958700.301499684482951
0.4718.05955968867450.296537162436422
0.4818.12956101082400.286018317096985
0.4918.19659319951070.271153156152447
0.518.25995073140740.254007305615107
0.5118.31940353449010.236859241773756
0.5218.37519236961170.221820352749494
0.5318.42791398973590.210222076768963
0.5418.47834617434600.202286081210589
0.5518.52727353884160.197610090036553
0.5618.57536350079350.195217470919415
0.5718.62311509434650.194321165742678
0.5818.67087353604270.194274179529766
0.5918.71888209429850.194874099058976
0.618.76733646605580.196109799681655
0.6118.81641551431830.198039499751975
0.6218.86628060407490.200529356012175
0.6318.91705616690900.203419565556572
0.6418.96881891765700.206272161701176
0.6519.02162642853710.209041139723772
0.6619.07560441523910.211926892343904
0.6719.13108719366690.216024358283457
0.6819.18877413287820.222999534280032
0.6919.24983899447270.23506722612523
0.719.31592331933990.254128919237925
0.7119.38896914608200.280789014965463
0.7219.47089792422200.314164003008245
0.7319.56320450585600.351392908696583
0.7419.66658123407750.388538881240520
0.7519.78069360475510.421445459424267
0.7619.90418701265760.446532876581355
0.7720.03492630901880.461759745476592
0.7820.17038698180360.466762776201205
0.7920.30806595940500.462690699745049
0.820.44578885717730.451547355121987
0.8120.58185979736970.435361153694817
0.8220.71509392493970.415898333079666
0.8320.84482939470480.39467082364346
0.8420.97098691632420.373456332638875
0.8521.09414931880810.354380975176913
0.8621.21556718775610.339524063833234
0.8721.33705323718740.329904874720536
0.8821.46085968965880.325687876341458
0.8921.58960978382110.326940944892275
0.921.72600314670470.333669812913686
0.9121.87164157048850.342716065026329
0.9222.02475264811770.344007058103005
0.9322.17824441378220.323436430433946
0.9422.32114559768990.274410354206253
0.9522.44547903476270.209504186456224
0.9622.55546433725590.160583571866722
0.9722.66837106011910.1545005049187
0.9822.79549012443900.156057517333527
0.9922.91552193880040.103116925040849

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 15.2601548150972 & 0.0520319859316995 \tabularnewline
0.02 & 15.3234386272519 & 0.0830242818797049 \tabularnewline
0.03 & 15.4015712634114 & 0.126771261823309 \tabularnewline
0.04 & 15.4938548356698 & 0.157638108977240 \tabularnewline
0.05 & 15.5916737273365 & 0.169289632764534 \tabularnewline
0.06 & 15.6860452748209 & 0.168621527300171 \tabularnewline
0.07 & 15.7722284716823 & 0.161534102286069 \tabularnewline
0.08 & 15.8487939760161 & 0.150632276287692 \tabularnewline
0.09 & 15.9160865553538 & 0.139258928387170 \tabularnewline
0.1 & 15.9755863653598 & 0.131066352366884 \tabularnewline
0.11 & 16.0292952059681 & 0.126852143512082 \tabularnewline
0.12 & 16.0788618253537 & 0.124152386691833 \tabularnewline
0.13 & 16.1250166947549 & 0.119967473602623 \tabularnewline
0.14 & 16.1676831444242 & 0.113140543939307 \tabularnewline
0.15 & 16.2065256889854 & 0.104421743541781 \tabularnewline
0.16 & 16.2414638647667 & 0.0956722313200822 \tabularnewline
0.17 & 16.2728753142935 & 0.0885715890244836 \tabularnewline
0.18 & 16.3015090860404 & 0.0840109326990863 \tabularnewline
0.19 & 16.3282846925031 & 0.0821735901288065 \tabularnewline
0.2 & 16.3541340708127 & 0.082961665554334 \tabularnewline
0.21 & 16.3799458214142 & 0.0864522782445405 \tabularnewline
0.22 & 16.4065892626287 & 0.0928583183553503 \tabularnewline
0.23 & 16.4349669131312 & 0.102630187572517 \tabularnewline
0.24 & 16.4660537737093 & 0.116250484953672 \tabularnewline
0.25 & 16.5009011767183 & 0.134098927419541 \tabularnewline
0.26 & 16.5405957266392 & 0.156291384244139 \tabularnewline
0.27 & 16.5861707803315 & 0.182424798201848 \tabularnewline
0.28 & 16.6384762489739 & 0.211624197095581 \tabularnewline
0.29 & 16.6980253327170 & 0.242184173681967 \tabularnewline
0.3 & 16.7648504549759 & 0.271912372549869 \tabularnewline
0.31 & 16.8384083356591 & 0.298411471667561 \tabularnewline
0.32 & 16.9175704756889 & 0.319315053154786 \tabularnewline
0.33 & 17.0007190692894 & 0.332867489605161 \tabularnewline
0.34 & 17.0859430467204 & 0.338295357985772 \tabularnewline
0.35 & 17.1713020290333 & 0.336057590684656 \tabularnewline
0.36 & 17.2551062801023 & 0.327583532004528 \tabularnewline
0.37 & 17.3361547513565 & 0.315345086796185 \tabularnewline
0.38 & 17.4138822321451 & 0.302188663230057 \tabularnewline
0.39 & 17.4883863811399 & 0.290827773521575 \tabularnewline
0.4 & 17.5603296958204 & 0.283438000862074 \tabularnewline
0.41 & 17.6307351861600 & 0.281135164401463 \tabularnewline
0.42 & 17.7007149870938 & 0.283700815801909 \tabularnewline
0.43 & 17.7711865142716 & 0.289508224345905 \tabularnewline
0.44 & 17.8426378070886 & 0.296158320486825 \tabularnewline
0.45 & 17.9149978484869 & 0.300948500232407 \tabularnewline
0.46 & 17.9876459895870 & 0.301499684482951 \tabularnewline
0.47 & 18.0595596886745 & 0.296537162436422 \tabularnewline
0.48 & 18.1295610108240 & 0.286018317096985 \tabularnewline
0.49 & 18.1965931995107 & 0.271153156152447 \tabularnewline
0.5 & 18.2599507314074 & 0.254007305615107 \tabularnewline
0.51 & 18.3194035344901 & 0.236859241773756 \tabularnewline
0.52 & 18.3751923696117 & 0.221820352749494 \tabularnewline
0.53 & 18.4279139897359 & 0.210222076768963 \tabularnewline
0.54 & 18.4783461743460 & 0.202286081210589 \tabularnewline
0.55 & 18.5272735388416 & 0.197610090036553 \tabularnewline
0.56 & 18.5753635007935 & 0.195217470919415 \tabularnewline
0.57 & 18.6231150943465 & 0.194321165742678 \tabularnewline
0.58 & 18.6708735360427 & 0.194274179529766 \tabularnewline
0.59 & 18.7188820942985 & 0.194874099058976 \tabularnewline
0.6 & 18.7673364660558 & 0.196109799681655 \tabularnewline
0.61 & 18.8164155143183 & 0.198039499751975 \tabularnewline
0.62 & 18.8662806040749 & 0.200529356012175 \tabularnewline
0.63 & 18.9170561669090 & 0.203419565556572 \tabularnewline
0.64 & 18.9688189176570 & 0.206272161701176 \tabularnewline
0.65 & 19.0216264285371 & 0.209041139723772 \tabularnewline
0.66 & 19.0756044152391 & 0.211926892343904 \tabularnewline
0.67 & 19.1310871936669 & 0.216024358283457 \tabularnewline
0.68 & 19.1887741328782 & 0.222999534280032 \tabularnewline
0.69 & 19.2498389944727 & 0.23506722612523 \tabularnewline
0.7 & 19.3159233193399 & 0.254128919237925 \tabularnewline
0.71 & 19.3889691460820 & 0.280789014965463 \tabularnewline
0.72 & 19.4708979242220 & 0.314164003008245 \tabularnewline
0.73 & 19.5632045058560 & 0.351392908696583 \tabularnewline
0.74 & 19.6665812340775 & 0.388538881240520 \tabularnewline
0.75 & 19.7806936047551 & 0.421445459424267 \tabularnewline
0.76 & 19.9041870126576 & 0.446532876581355 \tabularnewline
0.77 & 20.0349263090188 & 0.461759745476592 \tabularnewline
0.78 & 20.1703869818036 & 0.466762776201205 \tabularnewline
0.79 & 20.3080659594050 & 0.462690699745049 \tabularnewline
0.8 & 20.4457888571773 & 0.451547355121987 \tabularnewline
0.81 & 20.5818597973697 & 0.435361153694817 \tabularnewline
0.82 & 20.7150939249397 & 0.415898333079666 \tabularnewline
0.83 & 20.8448293947048 & 0.39467082364346 \tabularnewline
0.84 & 20.9709869163242 & 0.373456332638875 \tabularnewline
0.85 & 21.0941493188081 & 0.354380975176913 \tabularnewline
0.86 & 21.2155671877561 & 0.339524063833234 \tabularnewline
0.87 & 21.3370532371874 & 0.329904874720536 \tabularnewline
0.88 & 21.4608596896588 & 0.325687876341458 \tabularnewline
0.89 & 21.5896097838211 & 0.326940944892275 \tabularnewline
0.9 & 21.7260031467047 & 0.333669812913686 \tabularnewline
0.91 & 21.8716415704885 & 0.342716065026329 \tabularnewline
0.92 & 22.0247526481177 & 0.344007058103005 \tabularnewline
0.93 & 22.1782444137822 & 0.323436430433946 \tabularnewline
0.94 & 22.3211455976899 & 0.274410354206253 \tabularnewline
0.95 & 22.4454790347627 & 0.209504186456224 \tabularnewline
0.96 & 22.5554643372559 & 0.160583571866722 \tabularnewline
0.97 & 22.6683710601191 & 0.1545005049187 \tabularnewline
0.98 & 22.7954901244390 & 0.156057517333527 \tabularnewline
0.99 & 22.9155219388004 & 0.103116925040849 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42719&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]15.2601548150972[/C][C]0.0520319859316995[/C][/ROW]
[ROW][C]0.02[/C][C]15.3234386272519[/C][C]0.0830242818797049[/C][/ROW]
[ROW][C]0.03[/C][C]15.4015712634114[/C][C]0.126771261823309[/C][/ROW]
[ROW][C]0.04[/C][C]15.4938548356698[/C][C]0.157638108977240[/C][/ROW]
[ROW][C]0.05[/C][C]15.5916737273365[/C][C]0.169289632764534[/C][/ROW]
[ROW][C]0.06[/C][C]15.6860452748209[/C][C]0.168621527300171[/C][/ROW]
[ROW][C]0.07[/C][C]15.7722284716823[/C][C]0.161534102286069[/C][/ROW]
[ROW][C]0.08[/C][C]15.8487939760161[/C][C]0.150632276287692[/C][/ROW]
[ROW][C]0.09[/C][C]15.9160865553538[/C][C]0.139258928387170[/C][/ROW]
[ROW][C]0.1[/C][C]15.9755863653598[/C][C]0.131066352366884[/C][/ROW]
[ROW][C]0.11[/C][C]16.0292952059681[/C][C]0.126852143512082[/C][/ROW]
[ROW][C]0.12[/C][C]16.0788618253537[/C][C]0.124152386691833[/C][/ROW]
[ROW][C]0.13[/C][C]16.1250166947549[/C][C]0.119967473602623[/C][/ROW]
[ROW][C]0.14[/C][C]16.1676831444242[/C][C]0.113140543939307[/C][/ROW]
[ROW][C]0.15[/C][C]16.2065256889854[/C][C]0.104421743541781[/C][/ROW]
[ROW][C]0.16[/C][C]16.2414638647667[/C][C]0.0956722313200822[/C][/ROW]
[ROW][C]0.17[/C][C]16.2728753142935[/C][C]0.0885715890244836[/C][/ROW]
[ROW][C]0.18[/C][C]16.3015090860404[/C][C]0.0840109326990863[/C][/ROW]
[ROW][C]0.19[/C][C]16.3282846925031[/C][C]0.0821735901288065[/C][/ROW]
[ROW][C]0.2[/C][C]16.3541340708127[/C][C]0.082961665554334[/C][/ROW]
[ROW][C]0.21[/C][C]16.3799458214142[/C][C]0.0864522782445405[/C][/ROW]
[ROW][C]0.22[/C][C]16.4065892626287[/C][C]0.0928583183553503[/C][/ROW]
[ROW][C]0.23[/C][C]16.4349669131312[/C][C]0.102630187572517[/C][/ROW]
[ROW][C]0.24[/C][C]16.4660537737093[/C][C]0.116250484953672[/C][/ROW]
[ROW][C]0.25[/C][C]16.5009011767183[/C][C]0.134098927419541[/C][/ROW]
[ROW][C]0.26[/C][C]16.5405957266392[/C][C]0.156291384244139[/C][/ROW]
[ROW][C]0.27[/C][C]16.5861707803315[/C][C]0.182424798201848[/C][/ROW]
[ROW][C]0.28[/C][C]16.6384762489739[/C][C]0.211624197095581[/C][/ROW]
[ROW][C]0.29[/C][C]16.6980253327170[/C][C]0.242184173681967[/C][/ROW]
[ROW][C]0.3[/C][C]16.7648504549759[/C][C]0.271912372549869[/C][/ROW]
[ROW][C]0.31[/C][C]16.8384083356591[/C][C]0.298411471667561[/C][/ROW]
[ROW][C]0.32[/C][C]16.9175704756889[/C][C]0.319315053154786[/C][/ROW]
[ROW][C]0.33[/C][C]17.0007190692894[/C][C]0.332867489605161[/C][/ROW]
[ROW][C]0.34[/C][C]17.0859430467204[/C][C]0.338295357985772[/C][/ROW]
[ROW][C]0.35[/C][C]17.1713020290333[/C][C]0.336057590684656[/C][/ROW]
[ROW][C]0.36[/C][C]17.2551062801023[/C][C]0.327583532004528[/C][/ROW]
[ROW][C]0.37[/C][C]17.3361547513565[/C][C]0.315345086796185[/C][/ROW]
[ROW][C]0.38[/C][C]17.4138822321451[/C][C]0.302188663230057[/C][/ROW]
[ROW][C]0.39[/C][C]17.4883863811399[/C][C]0.290827773521575[/C][/ROW]
[ROW][C]0.4[/C][C]17.5603296958204[/C][C]0.283438000862074[/C][/ROW]
[ROW][C]0.41[/C][C]17.6307351861600[/C][C]0.281135164401463[/C][/ROW]
[ROW][C]0.42[/C][C]17.7007149870938[/C][C]0.283700815801909[/C][/ROW]
[ROW][C]0.43[/C][C]17.7711865142716[/C][C]0.289508224345905[/C][/ROW]
[ROW][C]0.44[/C][C]17.8426378070886[/C][C]0.296158320486825[/C][/ROW]
[ROW][C]0.45[/C][C]17.9149978484869[/C][C]0.300948500232407[/C][/ROW]
[ROW][C]0.46[/C][C]17.9876459895870[/C][C]0.301499684482951[/C][/ROW]
[ROW][C]0.47[/C][C]18.0595596886745[/C][C]0.296537162436422[/C][/ROW]
[ROW][C]0.48[/C][C]18.1295610108240[/C][C]0.286018317096985[/C][/ROW]
[ROW][C]0.49[/C][C]18.1965931995107[/C][C]0.271153156152447[/C][/ROW]
[ROW][C]0.5[/C][C]18.2599507314074[/C][C]0.254007305615107[/C][/ROW]
[ROW][C]0.51[/C][C]18.3194035344901[/C][C]0.236859241773756[/C][/ROW]
[ROW][C]0.52[/C][C]18.3751923696117[/C][C]0.221820352749494[/C][/ROW]
[ROW][C]0.53[/C][C]18.4279139897359[/C][C]0.210222076768963[/C][/ROW]
[ROW][C]0.54[/C][C]18.4783461743460[/C][C]0.202286081210589[/C][/ROW]
[ROW][C]0.55[/C][C]18.5272735388416[/C][C]0.197610090036553[/C][/ROW]
[ROW][C]0.56[/C][C]18.5753635007935[/C][C]0.195217470919415[/C][/ROW]
[ROW][C]0.57[/C][C]18.6231150943465[/C][C]0.194321165742678[/C][/ROW]
[ROW][C]0.58[/C][C]18.6708735360427[/C][C]0.194274179529766[/C][/ROW]
[ROW][C]0.59[/C][C]18.7188820942985[/C][C]0.194874099058976[/C][/ROW]
[ROW][C]0.6[/C][C]18.7673364660558[/C][C]0.196109799681655[/C][/ROW]
[ROW][C]0.61[/C][C]18.8164155143183[/C][C]0.198039499751975[/C][/ROW]
[ROW][C]0.62[/C][C]18.8662806040749[/C][C]0.200529356012175[/C][/ROW]
[ROW][C]0.63[/C][C]18.9170561669090[/C][C]0.203419565556572[/C][/ROW]
[ROW][C]0.64[/C][C]18.9688189176570[/C][C]0.206272161701176[/C][/ROW]
[ROW][C]0.65[/C][C]19.0216264285371[/C][C]0.209041139723772[/C][/ROW]
[ROW][C]0.66[/C][C]19.0756044152391[/C][C]0.211926892343904[/C][/ROW]
[ROW][C]0.67[/C][C]19.1310871936669[/C][C]0.216024358283457[/C][/ROW]
[ROW][C]0.68[/C][C]19.1887741328782[/C][C]0.222999534280032[/C][/ROW]
[ROW][C]0.69[/C][C]19.2498389944727[/C][C]0.23506722612523[/C][/ROW]
[ROW][C]0.7[/C][C]19.3159233193399[/C][C]0.254128919237925[/C][/ROW]
[ROW][C]0.71[/C][C]19.3889691460820[/C][C]0.280789014965463[/C][/ROW]
[ROW][C]0.72[/C][C]19.4708979242220[/C][C]0.314164003008245[/C][/ROW]
[ROW][C]0.73[/C][C]19.5632045058560[/C][C]0.351392908696583[/C][/ROW]
[ROW][C]0.74[/C][C]19.6665812340775[/C][C]0.388538881240520[/C][/ROW]
[ROW][C]0.75[/C][C]19.7806936047551[/C][C]0.421445459424267[/C][/ROW]
[ROW][C]0.76[/C][C]19.9041870126576[/C][C]0.446532876581355[/C][/ROW]
[ROW][C]0.77[/C][C]20.0349263090188[/C][C]0.461759745476592[/C][/ROW]
[ROW][C]0.78[/C][C]20.1703869818036[/C][C]0.466762776201205[/C][/ROW]
[ROW][C]0.79[/C][C]20.3080659594050[/C][C]0.462690699745049[/C][/ROW]
[ROW][C]0.8[/C][C]20.4457888571773[/C][C]0.451547355121987[/C][/ROW]
[ROW][C]0.81[/C][C]20.5818597973697[/C][C]0.435361153694817[/C][/ROW]
[ROW][C]0.82[/C][C]20.7150939249397[/C][C]0.415898333079666[/C][/ROW]
[ROW][C]0.83[/C][C]20.8448293947048[/C][C]0.39467082364346[/C][/ROW]
[ROW][C]0.84[/C][C]20.9709869163242[/C][C]0.373456332638875[/C][/ROW]
[ROW][C]0.85[/C][C]21.0941493188081[/C][C]0.354380975176913[/C][/ROW]
[ROW][C]0.86[/C][C]21.2155671877561[/C][C]0.339524063833234[/C][/ROW]
[ROW][C]0.87[/C][C]21.3370532371874[/C][C]0.329904874720536[/C][/ROW]
[ROW][C]0.88[/C][C]21.4608596896588[/C][C]0.325687876341458[/C][/ROW]
[ROW][C]0.89[/C][C]21.5896097838211[/C][C]0.326940944892275[/C][/ROW]
[ROW][C]0.9[/C][C]21.7260031467047[/C][C]0.333669812913686[/C][/ROW]
[ROW][C]0.91[/C][C]21.8716415704885[/C][C]0.342716065026329[/C][/ROW]
[ROW][C]0.92[/C][C]22.0247526481177[/C][C]0.344007058103005[/C][/ROW]
[ROW][C]0.93[/C][C]22.1782444137822[/C][C]0.323436430433946[/C][/ROW]
[ROW][C]0.94[/C][C]22.3211455976899[/C][C]0.274410354206253[/C][/ROW]
[ROW][C]0.95[/C][C]22.4454790347627[/C][C]0.209504186456224[/C][/ROW]
[ROW][C]0.96[/C][C]22.5554643372559[/C][C]0.160583571866722[/C][/ROW]
[ROW][C]0.97[/C][C]22.6683710601191[/C][C]0.1545005049187[/C][/ROW]
[ROW][C]0.98[/C][C]22.7954901244390[/C][C]0.156057517333527[/C][/ROW]
[ROW][C]0.99[/C][C]22.9155219388004[/C][C]0.103116925040849[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42719&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42719&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
0.0115.26015481509720.0520319859316995
0.0215.32343862725190.0830242818797049
0.0315.40157126341140.126771261823309
0.0415.49385483566980.157638108977240
0.0515.59167372733650.169289632764534
0.0615.68604527482090.168621527300171
0.0715.77222847168230.161534102286069
0.0815.84879397601610.150632276287692
0.0915.91608655535380.139258928387170
0.115.97558636535980.131066352366884
0.1116.02929520596810.126852143512082
0.1216.07886182535370.124152386691833
0.1316.12501669475490.119967473602623
0.1416.16768314442420.113140543939307
0.1516.20652568898540.104421743541781
0.1616.24146386476670.0956722313200822
0.1716.27287531429350.0885715890244836
0.1816.30150908604040.0840109326990863
0.1916.32828469250310.0821735901288065
0.216.35413407081270.082961665554334
0.2116.37994582141420.0864522782445405
0.2216.40658926262870.0928583183553503
0.2316.43496691313120.102630187572517
0.2416.46605377370930.116250484953672
0.2516.50090117671830.134098927419541
0.2616.54059572663920.156291384244139
0.2716.58617078033150.182424798201848
0.2816.63847624897390.211624197095581
0.2916.69802533271700.242184173681967
0.316.76485045497590.271912372549869
0.3116.83840833565910.298411471667561
0.3216.91757047568890.319315053154786
0.3317.00071906928940.332867489605161
0.3417.08594304672040.338295357985772
0.3517.17130202903330.336057590684656
0.3617.25510628010230.327583532004528
0.3717.33615475135650.315345086796185
0.3817.41388223214510.302188663230057
0.3917.48838638113990.290827773521575
0.417.56032969582040.283438000862074
0.4117.63073518616000.281135164401463
0.4217.70071498709380.283700815801909
0.4317.77118651427160.289508224345905
0.4417.84263780708860.296158320486825
0.4517.91499784848690.300948500232407
0.4617.98764598958700.301499684482951
0.4718.05955968867450.296537162436422
0.4818.12956101082400.286018317096985
0.4918.19659319951070.271153156152447
0.518.25995073140740.254007305615107
0.5118.31940353449010.236859241773756
0.5218.37519236961170.221820352749494
0.5318.42791398973590.210222076768963
0.5418.47834617434600.202286081210589
0.5518.52727353884160.197610090036553
0.5618.57536350079350.195217470919415
0.5718.62311509434650.194321165742678
0.5818.67087353604270.194274179529766
0.5918.71888209429850.194874099058976
0.618.76733646605580.196109799681655
0.6118.81641551431830.198039499751975
0.6218.86628060407490.200529356012175
0.6318.91705616690900.203419565556572
0.6418.96881891765700.206272161701176
0.6519.02162642853710.209041139723772
0.6619.07560441523910.211926892343904
0.6719.13108719366690.216024358283457
0.6819.18877413287820.222999534280032
0.6919.24983899447270.23506722612523
0.719.31592331933990.254128919237925
0.7119.38896914608200.280789014965463
0.7219.47089792422200.314164003008245
0.7319.56320450585600.351392908696583
0.7419.66658123407750.388538881240520
0.7519.78069360475510.421445459424267
0.7619.90418701265760.446532876581355
0.7720.03492630901880.461759745476592
0.7820.17038698180360.466762776201205
0.7920.30806595940500.462690699745049
0.820.44578885717730.451547355121987
0.8120.58185979736970.435361153694817
0.8220.71509392493970.415898333079666
0.8320.84482939470480.39467082364346
0.8420.97098691632420.373456332638875
0.8521.09414931880810.354380975176913
0.8621.21556718775610.339524063833234
0.8721.33705323718740.329904874720536
0.8821.46085968965880.325687876341458
0.8921.58960978382110.326940944892275
0.921.72600314670470.333669812913686
0.9121.87164157048850.342716065026329
0.9222.02475264811770.344007058103005
0.9322.17824441378220.323436430433946
0.9422.32114559768990.274410354206253
0.9522.44547903476270.209504186456224
0.9622.55546433725590.160583571866722
0.9722.66837106011910.1545005049187
0.9822.79549012443900.156057517333527
0.9922.91552193880040.103116925040849


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')