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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 computationSat, 05 Oct 2013 14:32:42 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/05/t1380997968vb66r1w4g2lygkc.htm/, Retrieved Fri, 03 May 2024 03:11:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213364, Retrieved Fri, 03 May 2024 03:11:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117

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] [] [2013-10-05 18:32:42] [655b7e86b856b1a975cbf3a4c6f4d54e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5731
5040
6102
4904
5369
5578
4619
4731
5011
5227
4146
4625
4736
4219
5116
4205
4121
5103
4300
4578
3809
5657
4249
3830
4736
4840
4413
4571
4106
4801
3956
3829
4453
4027
4121
4798
3233
3554
3952
3951
3685
4312
3867
4140
4114
3818
3377
3453
3502
4017
5410
5184
5529
6434
4962
2980
2937
2969
2731
3163
3145
3173
3723
3224
4114
3446
2955
3879
4278
4177
3698
4449
4162
3961
5246
5170
3682
3495
3770
3291
3580
3898
3477
3054

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213364&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]2 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=213364&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213364&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012795.79901999126148.606424585804
0.022874.3029142374287.6920174496446
0.032932.9681680384357.4465646242316
0.042973.3677658614459.3071303500451
0.053006.9501328311573.2856130231083
0.063040.585836857686.2304530210203
0.073075.820551887294.0509773257054
0.083111.8256538865497.467743356836
0.093147.5665552998699.3268811634791
0.13182.62844771688102.19019093432
0.113217.17306408904106.876189637165
0.123251.55845032662112.504367082578
0.133285.99314523333117.506238782172
0.143320.39180548198120.597711550206
0.153354.43056236868121.320124208156
0.163387.71024738089120.046090700345
0.173419.92221312554117.72801605835
0.183450.94582144882115.466488843566
0.193480.85594337162114.072908415968
0.23509.85932413203113.856855925872
0.213538.19922049177114.563684939671
0.223566.06795419281115.618492203078
0.233593.55354563208116.365953030022
0.243620.6284444242116.293345262285
0.253647.17320025613115.127107438878
0.263673.01977713363112.84472746855
0.273697.99836915031109.626685254767
0.283721.97572163993105.777708029487
0.293744.87896922611101.652653319444
0.33766.7043368000597.6038247933966
0.313787.5134316365293.9343115958645
0.323807.4211887229590.8797559050182
0.333826.5794100745888.5826599552102
0.343845.1590033085887.1078584822527
0.353863.3330260725986.423543008865
0.363881.2617645396886.4302496769605
0.373899.0804205175486.9803884780522
0.383916.8895917234787.8816335059132
0.393934.7486226790888.9148029011847
0.43952.6720506878889.8495431183978
0.413970.6296505230690.4572336050289
0.423988.5507802739290.5354616877345
0.434006.3336202610589.9220981711721
0.444023.8593455235188.5497365896953
0.454041.0103362053386.4501328509463
0.464057.6904630415183.7858503409281
0.474073.8446536817680.8258227494472
0.484089.4746836246477.93087941556
0.494104.6486032117675.5119739148828
0.54119.502322946173.9738593567684
0.514134.2333264609773.6577267341494
0.524149.0878489526874.7925503380018
0.534164.3437761574177.4855364245667
0.544180.2917819254381.7085393790765
0.554197.2168557502187.3471958890964
0.564215.3816005448794.1944854943951
0.574235.01183621369102.012187698697
0.584256.28443815959110.50079024522
0.594279.31715765219119.33093540124
0.64304.16041726999128.144662466639
0.614330.79158420112136.548151730683
0.624359.11273356598144.159028839018
0.634388.95316405744150.606890699718
0.644420.07776004257155.595119609531
0.654452.20170131455158.909999624772
0.664485.01113947664160.474362905188
0.674518.18849888822160.315489266161
0.684551.44021411405158.641090692946
0.694584.52409386016155.760354612829
0.74617.27312078161152.094745015506
0.714649.61234488221148.133166379869
0.724681.56565700599144.378276230271
0.734713.24981080956141.295040218501
0.744744.85434732074139.217597762221
0.754776.60823695979138.29104018261
0.764808.73697233204138.410193927282
0.774841.41697891322139.216978334614
0.784874.73665177658140.180812087419
0.794908.67408948826140.687025895707
0.84943.10002888017140.199808395097
0.814977.81057497877138.402522923201
0.825012.58869261972135.27553853466
0.835047.28699493904131.176764118348
0.845081.91791119782126.828739340585
0.855116.73143199368123.230819095296
0.865152.25630666276121.502199379665
0.875189.28020291863122.56258215089
0.885228.75228253421126.764983184441
0.895271.61340832158133.538589908967
0.95318.59936660892141.415677348283
0.915370.12236910748148.39750817529
0.925426.4097188968152.82596994906
0.935488.13713464309154.649152334415
0.945557.74491090087157.23522970328
0.955641.26686396251169.021741901833
0.965749.57443850957200.560013102238
0.975896.22735846448250.903670771581
0.986086.55471015112297.635638894566
0.996292.79113601297319.686790474719

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2795.79901999126 & 148.606424585804 \tabularnewline
0.02 & 2874.30291423742 & 87.6920174496446 \tabularnewline
0.03 & 2932.96816803843 & 57.4465646242316 \tabularnewline
0.04 & 2973.36776586144 & 59.3071303500451 \tabularnewline
0.05 & 3006.95013283115 & 73.2856130231083 \tabularnewline
0.06 & 3040.5858368576 & 86.2304530210203 \tabularnewline
0.07 & 3075.8205518872 & 94.0509773257054 \tabularnewline
0.08 & 3111.82565388654 & 97.467743356836 \tabularnewline
0.09 & 3147.56655529986 & 99.3268811634791 \tabularnewline
0.1 & 3182.62844771688 & 102.19019093432 \tabularnewline
0.11 & 3217.17306408904 & 106.876189637165 \tabularnewline
0.12 & 3251.55845032662 & 112.504367082578 \tabularnewline
0.13 & 3285.99314523333 & 117.506238782172 \tabularnewline
0.14 & 3320.39180548198 & 120.597711550206 \tabularnewline
0.15 & 3354.43056236868 & 121.320124208156 \tabularnewline
0.16 & 3387.71024738089 & 120.046090700345 \tabularnewline
0.17 & 3419.92221312554 & 117.72801605835 \tabularnewline
0.18 & 3450.94582144882 & 115.466488843566 \tabularnewline
0.19 & 3480.85594337162 & 114.072908415968 \tabularnewline
0.2 & 3509.85932413203 & 113.856855925872 \tabularnewline
0.21 & 3538.19922049177 & 114.563684939671 \tabularnewline
0.22 & 3566.06795419281 & 115.618492203078 \tabularnewline
0.23 & 3593.55354563208 & 116.365953030022 \tabularnewline
0.24 & 3620.6284444242 & 116.293345262285 \tabularnewline
0.25 & 3647.17320025613 & 115.127107438878 \tabularnewline
0.26 & 3673.01977713363 & 112.84472746855 \tabularnewline
0.27 & 3697.99836915031 & 109.626685254767 \tabularnewline
0.28 & 3721.97572163993 & 105.777708029487 \tabularnewline
0.29 & 3744.87896922611 & 101.652653319444 \tabularnewline
0.3 & 3766.70433680005 & 97.6038247933966 \tabularnewline
0.31 & 3787.51343163652 & 93.9343115958645 \tabularnewline
0.32 & 3807.42118872295 & 90.8797559050182 \tabularnewline
0.33 & 3826.57941007458 & 88.5826599552102 \tabularnewline
0.34 & 3845.15900330858 & 87.1078584822527 \tabularnewline
0.35 & 3863.33302607259 & 86.423543008865 \tabularnewline
0.36 & 3881.26176453968 & 86.4302496769605 \tabularnewline
0.37 & 3899.08042051754 & 86.9803884780522 \tabularnewline
0.38 & 3916.88959172347 & 87.8816335059132 \tabularnewline
0.39 & 3934.74862267908 & 88.9148029011847 \tabularnewline
0.4 & 3952.67205068788 & 89.8495431183978 \tabularnewline
0.41 & 3970.62965052306 & 90.4572336050289 \tabularnewline
0.42 & 3988.55078027392 & 90.5354616877345 \tabularnewline
0.43 & 4006.33362026105 & 89.9220981711721 \tabularnewline
0.44 & 4023.85934552351 & 88.5497365896953 \tabularnewline
0.45 & 4041.01033620533 & 86.4501328509463 \tabularnewline
0.46 & 4057.69046304151 & 83.7858503409281 \tabularnewline
0.47 & 4073.84465368176 & 80.8258227494472 \tabularnewline
0.48 & 4089.47468362464 & 77.93087941556 \tabularnewline
0.49 & 4104.64860321176 & 75.5119739148828 \tabularnewline
0.5 & 4119.5023229461 & 73.9738593567684 \tabularnewline
0.51 & 4134.23332646097 & 73.6577267341494 \tabularnewline
0.52 & 4149.08784895268 & 74.7925503380018 \tabularnewline
0.53 & 4164.34377615741 & 77.4855364245667 \tabularnewline
0.54 & 4180.29178192543 & 81.7085393790765 \tabularnewline
0.55 & 4197.21685575021 & 87.3471958890964 \tabularnewline
0.56 & 4215.38160054487 & 94.1944854943951 \tabularnewline
0.57 & 4235.01183621369 & 102.012187698697 \tabularnewline
0.58 & 4256.28443815959 & 110.50079024522 \tabularnewline
0.59 & 4279.31715765219 & 119.33093540124 \tabularnewline
0.6 & 4304.16041726999 & 128.144662466639 \tabularnewline
0.61 & 4330.79158420112 & 136.548151730683 \tabularnewline
0.62 & 4359.11273356598 & 144.159028839018 \tabularnewline
0.63 & 4388.95316405744 & 150.606890699718 \tabularnewline
0.64 & 4420.07776004257 & 155.595119609531 \tabularnewline
0.65 & 4452.20170131455 & 158.909999624772 \tabularnewline
0.66 & 4485.01113947664 & 160.474362905188 \tabularnewline
0.67 & 4518.18849888822 & 160.315489266161 \tabularnewline
0.68 & 4551.44021411405 & 158.641090692946 \tabularnewline
0.69 & 4584.52409386016 & 155.760354612829 \tabularnewline
0.7 & 4617.27312078161 & 152.094745015506 \tabularnewline
0.71 & 4649.61234488221 & 148.133166379869 \tabularnewline
0.72 & 4681.56565700599 & 144.378276230271 \tabularnewline
0.73 & 4713.24981080956 & 141.295040218501 \tabularnewline
0.74 & 4744.85434732074 & 139.217597762221 \tabularnewline
0.75 & 4776.60823695979 & 138.29104018261 \tabularnewline
0.76 & 4808.73697233204 & 138.410193927282 \tabularnewline
0.77 & 4841.41697891322 & 139.216978334614 \tabularnewline
0.78 & 4874.73665177658 & 140.180812087419 \tabularnewline
0.79 & 4908.67408948826 & 140.687025895707 \tabularnewline
0.8 & 4943.10002888017 & 140.199808395097 \tabularnewline
0.81 & 4977.81057497877 & 138.402522923201 \tabularnewline
0.82 & 5012.58869261972 & 135.27553853466 \tabularnewline
0.83 & 5047.28699493904 & 131.176764118348 \tabularnewline
0.84 & 5081.91791119782 & 126.828739340585 \tabularnewline
0.85 & 5116.73143199368 & 123.230819095296 \tabularnewline
0.86 & 5152.25630666276 & 121.502199379665 \tabularnewline
0.87 & 5189.28020291863 & 122.56258215089 \tabularnewline
0.88 & 5228.75228253421 & 126.764983184441 \tabularnewline
0.89 & 5271.61340832158 & 133.538589908967 \tabularnewline
0.9 & 5318.59936660892 & 141.415677348283 \tabularnewline
0.91 & 5370.12236910748 & 148.39750817529 \tabularnewline
0.92 & 5426.4097188968 & 152.82596994906 \tabularnewline
0.93 & 5488.13713464309 & 154.649152334415 \tabularnewline
0.94 & 5557.74491090087 & 157.23522970328 \tabularnewline
0.95 & 5641.26686396251 & 169.021741901833 \tabularnewline
0.96 & 5749.57443850957 & 200.560013102238 \tabularnewline
0.97 & 5896.22735846448 & 250.903670771581 \tabularnewline
0.98 & 6086.55471015112 & 297.635638894566 \tabularnewline
0.99 & 6292.79113601297 & 319.686790474719 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213364&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]2795.79901999126[/C][C]148.606424585804[/C][/ROW]
[ROW][C]0.02[/C][C]2874.30291423742[/C][C]87.6920174496446[/C][/ROW]
[ROW][C]0.03[/C][C]2932.96816803843[/C][C]57.4465646242316[/C][/ROW]
[ROW][C]0.04[/C][C]2973.36776586144[/C][C]59.3071303500451[/C][/ROW]
[ROW][C]0.05[/C][C]3006.95013283115[/C][C]73.2856130231083[/C][/ROW]
[ROW][C]0.06[/C][C]3040.5858368576[/C][C]86.2304530210203[/C][/ROW]
[ROW][C]0.07[/C][C]3075.8205518872[/C][C]94.0509773257054[/C][/ROW]
[ROW][C]0.08[/C][C]3111.82565388654[/C][C]97.467743356836[/C][/ROW]
[ROW][C]0.09[/C][C]3147.56655529986[/C][C]99.3268811634791[/C][/ROW]
[ROW][C]0.1[/C][C]3182.62844771688[/C][C]102.19019093432[/C][/ROW]
[ROW][C]0.11[/C][C]3217.17306408904[/C][C]106.876189637165[/C][/ROW]
[ROW][C]0.12[/C][C]3251.55845032662[/C][C]112.504367082578[/C][/ROW]
[ROW][C]0.13[/C][C]3285.99314523333[/C][C]117.506238782172[/C][/ROW]
[ROW][C]0.14[/C][C]3320.39180548198[/C][C]120.597711550206[/C][/ROW]
[ROW][C]0.15[/C][C]3354.43056236868[/C][C]121.320124208156[/C][/ROW]
[ROW][C]0.16[/C][C]3387.71024738089[/C][C]120.046090700345[/C][/ROW]
[ROW][C]0.17[/C][C]3419.92221312554[/C][C]117.72801605835[/C][/ROW]
[ROW][C]0.18[/C][C]3450.94582144882[/C][C]115.466488843566[/C][/ROW]
[ROW][C]0.19[/C][C]3480.85594337162[/C][C]114.072908415968[/C][/ROW]
[ROW][C]0.2[/C][C]3509.85932413203[/C][C]113.856855925872[/C][/ROW]
[ROW][C]0.21[/C][C]3538.19922049177[/C][C]114.563684939671[/C][/ROW]
[ROW][C]0.22[/C][C]3566.06795419281[/C][C]115.618492203078[/C][/ROW]
[ROW][C]0.23[/C][C]3593.55354563208[/C][C]116.365953030022[/C][/ROW]
[ROW][C]0.24[/C][C]3620.6284444242[/C][C]116.293345262285[/C][/ROW]
[ROW][C]0.25[/C][C]3647.17320025613[/C][C]115.127107438878[/C][/ROW]
[ROW][C]0.26[/C][C]3673.01977713363[/C][C]112.84472746855[/C][/ROW]
[ROW][C]0.27[/C][C]3697.99836915031[/C][C]109.626685254767[/C][/ROW]
[ROW][C]0.28[/C][C]3721.97572163993[/C][C]105.777708029487[/C][/ROW]
[ROW][C]0.29[/C][C]3744.87896922611[/C][C]101.652653319444[/C][/ROW]
[ROW][C]0.3[/C][C]3766.70433680005[/C][C]97.6038247933966[/C][/ROW]
[ROW][C]0.31[/C][C]3787.51343163652[/C][C]93.9343115958645[/C][/ROW]
[ROW][C]0.32[/C][C]3807.42118872295[/C][C]90.8797559050182[/C][/ROW]
[ROW][C]0.33[/C][C]3826.57941007458[/C][C]88.5826599552102[/C][/ROW]
[ROW][C]0.34[/C][C]3845.15900330858[/C][C]87.1078584822527[/C][/ROW]
[ROW][C]0.35[/C][C]3863.33302607259[/C][C]86.423543008865[/C][/ROW]
[ROW][C]0.36[/C][C]3881.26176453968[/C][C]86.4302496769605[/C][/ROW]
[ROW][C]0.37[/C][C]3899.08042051754[/C][C]86.9803884780522[/C][/ROW]
[ROW][C]0.38[/C][C]3916.88959172347[/C][C]87.8816335059132[/C][/ROW]
[ROW][C]0.39[/C][C]3934.74862267908[/C][C]88.9148029011847[/C][/ROW]
[ROW][C]0.4[/C][C]3952.67205068788[/C][C]89.8495431183978[/C][/ROW]
[ROW][C]0.41[/C][C]3970.62965052306[/C][C]90.4572336050289[/C][/ROW]
[ROW][C]0.42[/C][C]3988.55078027392[/C][C]90.5354616877345[/C][/ROW]
[ROW][C]0.43[/C][C]4006.33362026105[/C][C]89.9220981711721[/C][/ROW]
[ROW][C]0.44[/C][C]4023.85934552351[/C][C]88.5497365896953[/C][/ROW]
[ROW][C]0.45[/C][C]4041.01033620533[/C][C]86.4501328509463[/C][/ROW]
[ROW][C]0.46[/C][C]4057.69046304151[/C][C]83.7858503409281[/C][/ROW]
[ROW][C]0.47[/C][C]4073.84465368176[/C][C]80.8258227494472[/C][/ROW]
[ROW][C]0.48[/C][C]4089.47468362464[/C][C]77.93087941556[/C][/ROW]
[ROW][C]0.49[/C][C]4104.64860321176[/C][C]75.5119739148828[/C][/ROW]
[ROW][C]0.5[/C][C]4119.5023229461[/C][C]73.9738593567684[/C][/ROW]
[ROW][C]0.51[/C][C]4134.23332646097[/C][C]73.6577267341494[/C][/ROW]
[ROW][C]0.52[/C][C]4149.08784895268[/C][C]74.7925503380018[/C][/ROW]
[ROW][C]0.53[/C][C]4164.34377615741[/C][C]77.4855364245667[/C][/ROW]
[ROW][C]0.54[/C][C]4180.29178192543[/C][C]81.7085393790765[/C][/ROW]
[ROW][C]0.55[/C][C]4197.21685575021[/C][C]87.3471958890964[/C][/ROW]
[ROW][C]0.56[/C][C]4215.38160054487[/C][C]94.1944854943951[/C][/ROW]
[ROW][C]0.57[/C][C]4235.01183621369[/C][C]102.012187698697[/C][/ROW]
[ROW][C]0.58[/C][C]4256.28443815959[/C][C]110.50079024522[/C][/ROW]
[ROW][C]0.59[/C][C]4279.31715765219[/C][C]119.33093540124[/C][/ROW]
[ROW][C]0.6[/C][C]4304.16041726999[/C][C]128.144662466639[/C][/ROW]
[ROW][C]0.61[/C][C]4330.79158420112[/C][C]136.548151730683[/C][/ROW]
[ROW][C]0.62[/C][C]4359.11273356598[/C][C]144.159028839018[/C][/ROW]
[ROW][C]0.63[/C][C]4388.95316405744[/C][C]150.606890699718[/C][/ROW]
[ROW][C]0.64[/C][C]4420.07776004257[/C][C]155.595119609531[/C][/ROW]
[ROW][C]0.65[/C][C]4452.20170131455[/C][C]158.909999624772[/C][/ROW]
[ROW][C]0.66[/C][C]4485.01113947664[/C][C]160.474362905188[/C][/ROW]
[ROW][C]0.67[/C][C]4518.18849888822[/C][C]160.315489266161[/C][/ROW]
[ROW][C]0.68[/C][C]4551.44021411405[/C][C]158.641090692946[/C][/ROW]
[ROW][C]0.69[/C][C]4584.52409386016[/C][C]155.760354612829[/C][/ROW]
[ROW][C]0.7[/C][C]4617.27312078161[/C][C]152.094745015506[/C][/ROW]
[ROW][C]0.71[/C][C]4649.61234488221[/C][C]148.133166379869[/C][/ROW]
[ROW][C]0.72[/C][C]4681.56565700599[/C][C]144.378276230271[/C][/ROW]
[ROW][C]0.73[/C][C]4713.24981080956[/C][C]141.295040218501[/C][/ROW]
[ROW][C]0.74[/C][C]4744.85434732074[/C][C]139.217597762221[/C][/ROW]
[ROW][C]0.75[/C][C]4776.60823695979[/C][C]138.29104018261[/C][/ROW]
[ROW][C]0.76[/C][C]4808.73697233204[/C][C]138.410193927282[/C][/ROW]
[ROW][C]0.77[/C][C]4841.41697891322[/C][C]139.216978334614[/C][/ROW]
[ROW][C]0.78[/C][C]4874.73665177658[/C][C]140.180812087419[/C][/ROW]
[ROW][C]0.79[/C][C]4908.67408948826[/C][C]140.687025895707[/C][/ROW]
[ROW][C]0.8[/C][C]4943.10002888017[/C][C]140.199808395097[/C][/ROW]
[ROW][C]0.81[/C][C]4977.81057497877[/C][C]138.402522923201[/C][/ROW]
[ROW][C]0.82[/C][C]5012.58869261972[/C][C]135.27553853466[/C][/ROW]
[ROW][C]0.83[/C][C]5047.28699493904[/C][C]131.176764118348[/C][/ROW]
[ROW][C]0.84[/C][C]5081.91791119782[/C][C]126.828739340585[/C][/ROW]
[ROW][C]0.85[/C][C]5116.73143199368[/C][C]123.230819095296[/C][/ROW]
[ROW][C]0.86[/C][C]5152.25630666276[/C][C]121.502199379665[/C][/ROW]
[ROW][C]0.87[/C][C]5189.28020291863[/C][C]122.56258215089[/C][/ROW]
[ROW][C]0.88[/C][C]5228.75228253421[/C][C]126.764983184441[/C][/ROW]
[ROW][C]0.89[/C][C]5271.61340832158[/C][C]133.538589908967[/C][/ROW]
[ROW][C]0.9[/C][C]5318.59936660892[/C][C]141.415677348283[/C][/ROW]
[ROW][C]0.91[/C][C]5370.12236910748[/C][C]148.39750817529[/C][/ROW]
[ROW][C]0.92[/C][C]5426.4097188968[/C][C]152.82596994906[/C][/ROW]
[ROW][C]0.93[/C][C]5488.13713464309[/C][C]154.649152334415[/C][/ROW]
[ROW][C]0.94[/C][C]5557.74491090087[/C][C]157.23522970328[/C][/ROW]
[ROW][C]0.95[/C][C]5641.26686396251[/C][C]169.021741901833[/C][/ROW]
[ROW][C]0.96[/C][C]5749.57443850957[/C][C]200.560013102238[/C][/ROW]
[ROW][C]0.97[/C][C]5896.22735846448[/C][C]250.903670771581[/C][/ROW]
[ROW][C]0.98[/C][C]6086.55471015112[/C][C]297.635638894566[/C][/ROW]
[ROW][C]0.99[/C][C]6292.79113601297[/C][C]319.686790474719[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213364&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213364&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
0.012795.79901999126148.606424585804
0.022874.3029142374287.6920174496446
0.032932.9681680384357.4465646242316
0.042973.3677658614459.3071303500451
0.053006.9501328311573.2856130231083
0.063040.585836857686.2304530210203
0.073075.820551887294.0509773257054
0.083111.8256538865497.467743356836
0.093147.5665552998699.3268811634791
0.13182.62844771688102.19019093432
0.113217.17306408904106.876189637165
0.123251.55845032662112.504367082578
0.133285.99314523333117.506238782172
0.143320.39180548198120.597711550206
0.153354.43056236868121.320124208156
0.163387.71024738089120.046090700345
0.173419.92221312554117.72801605835
0.183450.94582144882115.466488843566
0.193480.85594337162114.072908415968
0.23509.85932413203113.856855925872
0.213538.19922049177114.563684939671
0.223566.06795419281115.618492203078
0.233593.55354563208116.365953030022
0.243620.6284444242116.293345262285
0.253647.17320025613115.127107438878
0.263673.01977713363112.84472746855
0.273697.99836915031109.626685254767
0.283721.97572163993105.777708029487
0.293744.87896922611101.652653319444
0.33766.7043368000597.6038247933966
0.313787.5134316365293.9343115958645
0.323807.4211887229590.8797559050182
0.333826.5794100745888.5826599552102
0.343845.1590033085887.1078584822527
0.353863.3330260725986.423543008865
0.363881.2617645396886.4302496769605
0.373899.0804205175486.9803884780522
0.383916.8895917234787.8816335059132
0.393934.7486226790888.9148029011847
0.43952.6720506878889.8495431183978
0.413970.6296505230690.4572336050289
0.423988.5507802739290.5354616877345
0.434006.3336202610589.9220981711721
0.444023.8593455235188.5497365896953
0.454041.0103362053386.4501328509463
0.464057.6904630415183.7858503409281
0.474073.8446536817680.8258227494472
0.484089.4746836246477.93087941556
0.494104.6486032117675.5119739148828
0.54119.502322946173.9738593567684
0.514134.2333264609773.6577267341494
0.524149.0878489526874.7925503380018
0.534164.3437761574177.4855364245667
0.544180.2917819254381.7085393790765
0.554197.2168557502187.3471958890964
0.564215.3816005448794.1944854943951
0.574235.01183621369102.012187698697
0.584256.28443815959110.50079024522
0.594279.31715765219119.33093540124
0.64304.16041726999128.144662466639
0.614330.79158420112136.548151730683
0.624359.11273356598144.159028839018
0.634388.95316405744150.606890699718
0.644420.07776004257155.595119609531
0.654452.20170131455158.909999624772
0.664485.01113947664160.474362905188
0.674518.18849888822160.315489266161
0.684551.44021411405158.641090692946
0.694584.52409386016155.760354612829
0.74617.27312078161152.094745015506
0.714649.61234488221148.133166379869
0.724681.56565700599144.378276230271
0.734713.24981080956141.295040218501
0.744744.85434732074139.217597762221
0.754776.60823695979138.29104018261
0.764808.73697233204138.410193927282
0.774841.41697891322139.216978334614
0.784874.73665177658140.180812087419
0.794908.67408948826140.687025895707
0.84943.10002888017140.199808395097
0.814977.81057497877138.402522923201
0.825012.58869261972135.27553853466
0.835047.28699493904131.176764118348
0.845081.91791119782126.828739340585
0.855116.73143199368123.230819095296
0.865152.25630666276121.502199379665
0.875189.28020291863122.56258215089
0.885228.75228253421126.764983184441
0.895271.61340832158133.538589908967
0.95318.59936660892141.415677348283
0.915370.12236910748148.39750817529
0.925426.4097188968152.82596994906
0.935488.13713464309154.649152334415
0.945557.74491090087157.23522970328
0.955641.26686396251169.021741901833
0.965749.57443850957200.560013102238
0.975896.22735846448250.903670771581
0.986086.55471015112297.635638894566
0.996292.79113601297319.686790474719


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')