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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, 27 Feb 2016 10:27:15 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Feb/27/t1456568920fs3taldgdpza0vg.htm/, Retrieved Sat, 27 Apr 2024 05:54:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292836, Retrieved Sat, 27 Apr 2024 05:54:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact99

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] [] [2016-02-27 10:27:15] [c0f67b4e93ea0adf92c2b9d3976edd70] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2341
2115
2402
2180
2453
2507
2679
2622
2618
2648
2523
2473
2513
2466
2544
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2564
2582
2716
2904
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2772
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2935
2783
3003
2995
3127
2985
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3236
3252
3228
2856
3176
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3036
3330
3251
3318
3238
3597
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3426
3526
3483
3458
3824
3696
3518
3814
3996
4136
4037
3915
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4160
4115
4202
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4029
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4645
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4202
4635
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4427
4684
4648
5225
5174
5181
5266
4839
5032
5221
4658
5014
4980
4952
4946
5365
5456
5397
5436
4995
5019
5249
4799
5137
4979
4951
5265
5612
5572
5403
5373
5252
5437
5296
5011
5294
5335
5398
5396
5724
5898
5718
5625
5380
5488
5678
5224
5596
5184
5620
5531
5816
6086
6175
6112
5813
5740
5821
5294
5881
5589
5845
5706
6355
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6426
6375
5869
5994
6105
5792
6011
5968
6255
6208
6897
6814
6897
6596
6188
6406
6548
5842
6555
6424
6596
6645
7203
7128
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6778
6593
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6120
5612
6070
5983
6145
6303
6588
6640
6719
6575
6487
6510
6365
5844
5974
5880
6279
6342
6598
6801
6529
6369
6028
6187
6164
5866
6198
5898
6462
6063
6496
6678
6554
6513
6210
5928
6268
5582
5869
5764
6082
6062
6810
6727
6537
6175
6014
6109

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292836&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292836&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292836&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012269.7054931254115.369712390284
0.022413.2450519674766.6297812179728
0.032479.5501262933142.6180954978804
0.042519.5122541920143.0085548803146
0.052557.3198600311855.5966743008774
0.062601.6877084781774.7775574997644
0.072655.0969381631294.2717529042724
0.082715.94567297532109.058611422256
0.092780.76117116995117.805481027399
0.12846.71230361931123.630266272988
0.112913.026535569130.5618462554
0.122980.33493344154139.22271062589
0.133048.91872198559146.54848573406
0.143117.82551243517149.729404580516
0.153185.72449480691150.147101830058
0.163252.47078087754152.76905443558
0.173319.67902694791161.663627958985
0.183389.76914859356176.460784795978
0.193464.43418348749193.231746799591
0.23543.73376721713207.408621862327
0.213626.20707522081215.997154654948
0.223709.62911652614218.28090892051
0.233791.85231514554215.420102232585
0.243871.38301209761209.587521272074
0.253947.59756573323203.139782151929
0.264020.65511088962197.905689707113
0.274091.21725465118194.811160807116
0.284160.08997836353193.751717260433
0.294227.896572978193.749935656231
0.34294.87318307472193.47059862074
0.314360.83656539453191.765286198402
0.324425.31293906348188.104605947958
0.334487.76256621699182.678168070139
0.344547.80545892924176.307234333477
0.354605.35460719814170.05369301139
0.364660.60010048202164.685045599795
0.374713.86127366396160.275355032941
0.384765.40388959376156.343905030642
0.394815.34548559536152.294529843621
0.44863.70815998331148.000394890255
0.414910.56178220877143.953675113963
0.424956.12425308212140.90795750917
0.435000.71651198078138.994116489629
0.445044.58754401731137.633911706503
0.455087.73427767397135.630950945267
0.465129.85493584607131.961500333838
0.475170.4833061798126.5113593858
0.485209.22957800696119.978876539762
0.495245.99238912192113.63659379722
0.55281.04094684768108.796066651423
0.515314.95342068859106.237832076191
0.525348.46665970936106.151370195617
0.535382.30556534214108.248894458289
0.545417.03646605588111.785600601101
0.555452.96702875797115.786045232182
0.565490.10999119648119.251959112613
0.575528.22073264238121.45235735835
0.585566.89168389652122.101423770588
0.595605.6541882129121.20614485521
0.65644.03599089785118.879034899466
0.615681.56414688052115.108981053982
0.625717.7580833911109.80029385556
0.635752.17516724595103.162774362668
0.645784.5294924956895.8613809199876
0.655814.8333084311589.0525603802561
0.665843.4665505019783.9516100066466
0.675871.1016881452181.3306306841766
0.685898.4894851089381.0232987423361
0.695926.1965411967582.007156543746
0.75954.4211311587782.9109685689968
0.715982.9748301113182.656823745139
0.726011.4280584425980.8363108791175
0.736039.3354388782577.7852805274251
0.746066.4321199861674.2673257351589
0.756092.7340375674671.1585643874837
0.766118.5458990721869.2077374007468
0.776144.4213604987868.9416715674944
0.786171.094934026870.7214254649127
0.796199.3462487161674.4363104081814
0.86229.7555258985779.1615877157328
0.816262.4197140908583.2441258295638
0.826296.8309489955585.0637304296361
0.836332.0800219488784.0666041966743
0.846367.2787866257281.0146363409793
0.856401.8427892246277.0319861546187
0.866435.3799662967872.4043554769239
0.876467.3664500449466.4947771472116
0.886497.0557440246358.9066696547219
0.896523.7837935452150.3543327034596
0.96547.3838846671542.2585685564592
0.916568.5472093931436.2635943152635
0.926589.4275132394435.1022341851502
0.936614.261130378142.1351000018488
0.946648.3317493183955.9108680096642
0.956694.2940022016867.7966296967835
0.966749.6923145845569.5326195443297
0.976815.5995232166571.0170364460487
0.986918.65874258993106.045450163857
0.997079.40825216766112.896011979066

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2269.7054931254 & 115.369712390284 \tabularnewline
0.02 & 2413.24505196747 & 66.6297812179728 \tabularnewline
0.03 & 2479.55012629331 & 42.6180954978804 \tabularnewline
0.04 & 2519.51225419201 & 43.0085548803146 \tabularnewline
0.05 & 2557.31986003118 & 55.5966743008774 \tabularnewline
0.06 & 2601.68770847817 & 74.7775574997644 \tabularnewline
0.07 & 2655.09693816312 & 94.2717529042724 \tabularnewline
0.08 & 2715.94567297532 & 109.058611422256 \tabularnewline
0.09 & 2780.76117116995 & 117.805481027399 \tabularnewline
0.1 & 2846.71230361931 & 123.630266272988 \tabularnewline
0.11 & 2913.026535569 & 130.5618462554 \tabularnewline
0.12 & 2980.33493344154 & 139.22271062589 \tabularnewline
0.13 & 3048.91872198559 & 146.54848573406 \tabularnewline
0.14 & 3117.82551243517 & 149.729404580516 \tabularnewline
0.15 & 3185.72449480691 & 150.147101830058 \tabularnewline
0.16 & 3252.47078087754 & 152.76905443558 \tabularnewline
0.17 & 3319.67902694791 & 161.663627958985 \tabularnewline
0.18 & 3389.76914859356 & 176.460784795978 \tabularnewline
0.19 & 3464.43418348749 & 193.231746799591 \tabularnewline
0.2 & 3543.73376721713 & 207.408621862327 \tabularnewline
0.21 & 3626.20707522081 & 215.997154654948 \tabularnewline
0.22 & 3709.62911652614 & 218.28090892051 \tabularnewline
0.23 & 3791.85231514554 & 215.420102232585 \tabularnewline
0.24 & 3871.38301209761 & 209.587521272074 \tabularnewline
0.25 & 3947.59756573323 & 203.139782151929 \tabularnewline
0.26 & 4020.65511088962 & 197.905689707113 \tabularnewline
0.27 & 4091.21725465118 & 194.811160807116 \tabularnewline
0.28 & 4160.08997836353 & 193.751717260433 \tabularnewline
0.29 & 4227.896572978 & 193.749935656231 \tabularnewline
0.3 & 4294.87318307472 & 193.47059862074 \tabularnewline
0.31 & 4360.83656539453 & 191.765286198402 \tabularnewline
0.32 & 4425.31293906348 & 188.104605947958 \tabularnewline
0.33 & 4487.76256621699 & 182.678168070139 \tabularnewline
0.34 & 4547.80545892924 & 176.307234333477 \tabularnewline
0.35 & 4605.35460719814 & 170.05369301139 \tabularnewline
0.36 & 4660.60010048202 & 164.685045599795 \tabularnewline
0.37 & 4713.86127366396 & 160.275355032941 \tabularnewline
0.38 & 4765.40388959376 & 156.343905030642 \tabularnewline
0.39 & 4815.34548559536 & 152.294529843621 \tabularnewline
0.4 & 4863.70815998331 & 148.000394890255 \tabularnewline
0.41 & 4910.56178220877 & 143.953675113963 \tabularnewline
0.42 & 4956.12425308212 & 140.90795750917 \tabularnewline
0.43 & 5000.71651198078 & 138.994116489629 \tabularnewline
0.44 & 5044.58754401731 & 137.633911706503 \tabularnewline
0.45 & 5087.73427767397 & 135.630950945267 \tabularnewline
0.46 & 5129.85493584607 & 131.961500333838 \tabularnewline
0.47 & 5170.4833061798 & 126.5113593858 \tabularnewline
0.48 & 5209.22957800696 & 119.978876539762 \tabularnewline
0.49 & 5245.99238912192 & 113.63659379722 \tabularnewline
0.5 & 5281.04094684768 & 108.796066651423 \tabularnewline
0.51 & 5314.95342068859 & 106.237832076191 \tabularnewline
0.52 & 5348.46665970936 & 106.151370195617 \tabularnewline
0.53 & 5382.30556534214 & 108.248894458289 \tabularnewline
0.54 & 5417.03646605588 & 111.785600601101 \tabularnewline
0.55 & 5452.96702875797 & 115.786045232182 \tabularnewline
0.56 & 5490.10999119648 & 119.251959112613 \tabularnewline
0.57 & 5528.22073264238 & 121.45235735835 \tabularnewline
0.58 & 5566.89168389652 & 122.101423770588 \tabularnewline
0.59 & 5605.6541882129 & 121.20614485521 \tabularnewline
0.6 & 5644.03599089785 & 118.879034899466 \tabularnewline
0.61 & 5681.56414688052 & 115.108981053982 \tabularnewline
0.62 & 5717.7580833911 & 109.80029385556 \tabularnewline
0.63 & 5752.17516724595 & 103.162774362668 \tabularnewline
0.64 & 5784.52949249568 & 95.8613809199876 \tabularnewline
0.65 & 5814.83330843115 & 89.0525603802561 \tabularnewline
0.66 & 5843.46655050197 & 83.9516100066466 \tabularnewline
0.67 & 5871.10168814521 & 81.3306306841766 \tabularnewline
0.68 & 5898.48948510893 & 81.0232987423361 \tabularnewline
0.69 & 5926.19654119675 & 82.007156543746 \tabularnewline
0.7 & 5954.42113115877 & 82.9109685689968 \tabularnewline
0.71 & 5982.97483011131 & 82.656823745139 \tabularnewline
0.72 & 6011.42805844259 & 80.8363108791175 \tabularnewline
0.73 & 6039.33543887825 & 77.7852805274251 \tabularnewline
0.74 & 6066.43211998616 & 74.2673257351589 \tabularnewline
0.75 & 6092.73403756746 & 71.1585643874837 \tabularnewline
0.76 & 6118.54589907218 & 69.2077374007468 \tabularnewline
0.77 & 6144.42136049878 & 68.9416715674944 \tabularnewline
0.78 & 6171.0949340268 & 70.7214254649127 \tabularnewline
0.79 & 6199.34624871616 & 74.4363104081814 \tabularnewline
0.8 & 6229.75552589857 & 79.1615877157328 \tabularnewline
0.81 & 6262.41971409085 & 83.2441258295638 \tabularnewline
0.82 & 6296.83094899555 & 85.0637304296361 \tabularnewline
0.83 & 6332.08002194887 & 84.0666041966743 \tabularnewline
0.84 & 6367.27878662572 & 81.0146363409793 \tabularnewline
0.85 & 6401.84278922462 & 77.0319861546187 \tabularnewline
0.86 & 6435.37996629678 & 72.4043554769239 \tabularnewline
0.87 & 6467.36645004494 & 66.4947771472116 \tabularnewline
0.88 & 6497.05574402463 & 58.9066696547219 \tabularnewline
0.89 & 6523.78379354521 & 50.3543327034596 \tabularnewline
0.9 & 6547.38388466715 & 42.2585685564592 \tabularnewline
0.91 & 6568.54720939314 & 36.2635943152635 \tabularnewline
0.92 & 6589.42751323944 & 35.1022341851502 \tabularnewline
0.93 & 6614.2611303781 & 42.1351000018488 \tabularnewline
0.94 & 6648.33174931839 & 55.9108680096642 \tabularnewline
0.95 & 6694.29400220168 & 67.7966296967835 \tabularnewline
0.96 & 6749.69231458455 & 69.5326195443297 \tabularnewline
0.97 & 6815.59952321665 & 71.0170364460487 \tabularnewline
0.98 & 6918.65874258993 & 106.045450163857 \tabularnewline
0.99 & 7079.40825216766 & 112.896011979066 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292836&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]2269.7054931254[/C][C]115.369712390284[/C][/ROW]
[ROW][C]0.02[/C][C]2413.24505196747[/C][C]66.6297812179728[/C][/ROW]
[ROW][C]0.03[/C][C]2479.55012629331[/C][C]42.6180954978804[/C][/ROW]
[ROW][C]0.04[/C][C]2519.51225419201[/C][C]43.0085548803146[/C][/ROW]
[ROW][C]0.05[/C][C]2557.31986003118[/C][C]55.5966743008774[/C][/ROW]
[ROW][C]0.06[/C][C]2601.68770847817[/C][C]74.7775574997644[/C][/ROW]
[ROW][C]0.07[/C][C]2655.09693816312[/C][C]94.2717529042724[/C][/ROW]
[ROW][C]0.08[/C][C]2715.94567297532[/C][C]109.058611422256[/C][/ROW]
[ROW][C]0.09[/C][C]2780.76117116995[/C][C]117.805481027399[/C][/ROW]
[ROW][C]0.1[/C][C]2846.71230361931[/C][C]123.630266272988[/C][/ROW]
[ROW][C]0.11[/C][C]2913.026535569[/C][C]130.5618462554[/C][/ROW]
[ROW][C]0.12[/C][C]2980.33493344154[/C][C]139.22271062589[/C][/ROW]
[ROW][C]0.13[/C][C]3048.91872198559[/C][C]146.54848573406[/C][/ROW]
[ROW][C]0.14[/C][C]3117.82551243517[/C][C]149.729404580516[/C][/ROW]
[ROW][C]0.15[/C][C]3185.72449480691[/C][C]150.147101830058[/C][/ROW]
[ROW][C]0.16[/C][C]3252.47078087754[/C][C]152.76905443558[/C][/ROW]
[ROW][C]0.17[/C][C]3319.67902694791[/C][C]161.663627958985[/C][/ROW]
[ROW][C]0.18[/C][C]3389.76914859356[/C][C]176.460784795978[/C][/ROW]
[ROW][C]0.19[/C][C]3464.43418348749[/C][C]193.231746799591[/C][/ROW]
[ROW][C]0.2[/C][C]3543.73376721713[/C][C]207.408621862327[/C][/ROW]
[ROW][C]0.21[/C][C]3626.20707522081[/C][C]215.997154654948[/C][/ROW]
[ROW][C]0.22[/C][C]3709.62911652614[/C][C]218.28090892051[/C][/ROW]
[ROW][C]0.23[/C][C]3791.85231514554[/C][C]215.420102232585[/C][/ROW]
[ROW][C]0.24[/C][C]3871.38301209761[/C][C]209.587521272074[/C][/ROW]
[ROW][C]0.25[/C][C]3947.59756573323[/C][C]203.139782151929[/C][/ROW]
[ROW][C]0.26[/C][C]4020.65511088962[/C][C]197.905689707113[/C][/ROW]
[ROW][C]0.27[/C][C]4091.21725465118[/C][C]194.811160807116[/C][/ROW]
[ROW][C]0.28[/C][C]4160.08997836353[/C][C]193.751717260433[/C][/ROW]
[ROW][C]0.29[/C][C]4227.896572978[/C][C]193.749935656231[/C][/ROW]
[ROW][C]0.3[/C][C]4294.87318307472[/C][C]193.47059862074[/C][/ROW]
[ROW][C]0.31[/C][C]4360.83656539453[/C][C]191.765286198402[/C][/ROW]
[ROW][C]0.32[/C][C]4425.31293906348[/C][C]188.104605947958[/C][/ROW]
[ROW][C]0.33[/C][C]4487.76256621699[/C][C]182.678168070139[/C][/ROW]
[ROW][C]0.34[/C][C]4547.80545892924[/C][C]176.307234333477[/C][/ROW]
[ROW][C]0.35[/C][C]4605.35460719814[/C][C]170.05369301139[/C][/ROW]
[ROW][C]0.36[/C][C]4660.60010048202[/C][C]164.685045599795[/C][/ROW]
[ROW][C]0.37[/C][C]4713.86127366396[/C][C]160.275355032941[/C][/ROW]
[ROW][C]0.38[/C][C]4765.40388959376[/C][C]156.343905030642[/C][/ROW]
[ROW][C]0.39[/C][C]4815.34548559536[/C][C]152.294529843621[/C][/ROW]
[ROW][C]0.4[/C][C]4863.70815998331[/C][C]148.000394890255[/C][/ROW]
[ROW][C]0.41[/C][C]4910.56178220877[/C][C]143.953675113963[/C][/ROW]
[ROW][C]0.42[/C][C]4956.12425308212[/C][C]140.90795750917[/C][/ROW]
[ROW][C]0.43[/C][C]5000.71651198078[/C][C]138.994116489629[/C][/ROW]
[ROW][C]0.44[/C][C]5044.58754401731[/C][C]137.633911706503[/C][/ROW]
[ROW][C]0.45[/C][C]5087.73427767397[/C][C]135.630950945267[/C][/ROW]
[ROW][C]0.46[/C][C]5129.85493584607[/C][C]131.961500333838[/C][/ROW]
[ROW][C]0.47[/C][C]5170.4833061798[/C][C]126.5113593858[/C][/ROW]
[ROW][C]0.48[/C][C]5209.22957800696[/C][C]119.978876539762[/C][/ROW]
[ROW][C]0.49[/C][C]5245.99238912192[/C][C]113.63659379722[/C][/ROW]
[ROW][C]0.5[/C][C]5281.04094684768[/C][C]108.796066651423[/C][/ROW]
[ROW][C]0.51[/C][C]5314.95342068859[/C][C]106.237832076191[/C][/ROW]
[ROW][C]0.52[/C][C]5348.46665970936[/C][C]106.151370195617[/C][/ROW]
[ROW][C]0.53[/C][C]5382.30556534214[/C][C]108.248894458289[/C][/ROW]
[ROW][C]0.54[/C][C]5417.03646605588[/C][C]111.785600601101[/C][/ROW]
[ROW][C]0.55[/C][C]5452.96702875797[/C][C]115.786045232182[/C][/ROW]
[ROW][C]0.56[/C][C]5490.10999119648[/C][C]119.251959112613[/C][/ROW]
[ROW][C]0.57[/C][C]5528.22073264238[/C][C]121.45235735835[/C][/ROW]
[ROW][C]0.58[/C][C]5566.89168389652[/C][C]122.101423770588[/C][/ROW]
[ROW][C]0.59[/C][C]5605.6541882129[/C][C]121.20614485521[/C][/ROW]
[ROW][C]0.6[/C][C]5644.03599089785[/C][C]118.879034899466[/C][/ROW]
[ROW][C]0.61[/C][C]5681.56414688052[/C][C]115.108981053982[/C][/ROW]
[ROW][C]0.62[/C][C]5717.7580833911[/C][C]109.80029385556[/C][/ROW]
[ROW][C]0.63[/C][C]5752.17516724595[/C][C]103.162774362668[/C][/ROW]
[ROW][C]0.64[/C][C]5784.52949249568[/C][C]95.8613809199876[/C][/ROW]
[ROW][C]0.65[/C][C]5814.83330843115[/C][C]89.0525603802561[/C][/ROW]
[ROW][C]0.66[/C][C]5843.46655050197[/C][C]83.9516100066466[/C][/ROW]
[ROW][C]0.67[/C][C]5871.10168814521[/C][C]81.3306306841766[/C][/ROW]
[ROW][C]0.68[/C][C]5898.48948510893[/C][C]81.0232987423361[/C][/ROW]
[ROW][C]0.69[/C][C]5926.19654119675[/C][C]82.007156543746[/C][/ROW]
[ROW][C]0.7[/C][C]5954.42113115877[/C][C]82.9109685689968[/C][/ROW]
[ROW][C]0.71[/C][C]5982.97483011131[/C][C]82.656823745139[/C][/ROW]
[ROW][C]0.72[/C][C]6011.42805844259[/C][C]80.8363108791175[/C][/ROW]
[ROW][C]0.73[/C][C]6039.33543887825[/C][C]77.7852805274251[/C][/ROW]
[ROW][C]0.74[/C][C]6066.43211998616[/C][C]74.2673257351589[/C][/ROW]
[ROW][C]0.75[/C][C]6092.73403756746[/C][C]71.1585643874837[/C][/ROW]
[ROW][C]0.76[/C][C]6118.54589907218[/C][C]69.2077374007468[/C][/ROW]
[ROW][C]0.77[/C][C]6144.42136049878[/C][C]68.9416715674944[/C][/ROW]
[ROW][C]0.78[/C][C]6171.0949340268[/C][C]70.7214254649127[/C][/ROW]
[ROW][C]0.79[/C][C]6199.34624871616[/C][C]74.4363104081814[/C][/ROW]
[ROW][C]0.8[/C][C]6229.75552589857[/C][C]79.1615877157328[/C][/ROW]
[ROW][C]0.81[/C][C]6262.41971409085[/C][C]83.2441258295638[/C][/ROW]
[ROW][C]0.82[/C][C]6296.83094899555[/C][C]85.0637304296361[/C][/ROW]
[ROW][C]0.83[/C][C]6332.08002194887[/C][C]84.0666041966743[/C][/ROW]
[ROW][C]0.84[/C][C]6367.27878662572[/C][C]81.0146363409793[/C][/ROW]
[ROW][C]0.85[/C][C]6401.84278922462[/C][C]77.0319861546187[/C][/ROW]
[ROW][C]0.86[/C][C]6435.37996629678[/C][C]72.4043554769239[/C][/ROW]
[ROW][C]0.87[/C][C]6467.36645004494[/C][C]66.4947771472116[/C][/ROW]
[ROW][C]0.88[/C][C]6497.05574402463[/C][C]58.9066696547219[/C][/ROW]
[ROW][C]0.89[/C][C]6523.78379354521[/C][C]50.3543327034596[/C][/ROW]
[ROW][C]0.9[/C][C]6547.38388466715[/C][C]42.2585685564592[/C][/ROW]
[ROW][C]0.91[/C][C]6568.54720939314[/C][C]36.2635943152635[/C][/ROW]
[ROW][C]0.92[/C][C]6589.42751323944[/C][C]35.1022341851502[/C][/ROW]
[ROW][C]0.93[/C][C]6614.2611303781[/C][C]42.1351000018488[/C][/ROW]
[ROW][C]0.94[/C][C]6648.33174931839[/C][C]55.9108680096642[/C][/ROW]
[ROW][C]0.95[/C][C]6694.29400220168[/C][C]67.7966296967835[/C][/ROW]
[ROW][C]0.96[/C][C]6749.69231458455[/C][C]69.5326195443297[/C][/ROW]
[ROW][C]0.97[/C][C]6815.59952321665[/C][C]71.0170364460487[/C][/ROW]
[ROW][C]0.98[/C][C]6918.65874258993[/C][C]106.045450163857[/C][/ROW]
[ROW][C]0.99[/C][C]7079.40825216766[/C][C]112.896011979066[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292836&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292836&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
0.012269.7054931254115.369712390284
0.022413.2450519674766.6297812179728
0.032479.5501262933142.6180954978804
0.042519.5122541920143.0085548803146
0.052557.3198600311855.5966743008774
0.062601.6877084781774.7775574997644
0.072655.0969381631294.2717529042724
0.082715.94567297532109.058611422256
0.092780.76117116995117.805481027399
0.12846.71230361931123.630266272988
0.112913.026535569130.5618462554
0.122980.33493344154139.22271062589
0.133048.91872198559146.54848573406
0.143117.82551243517149.729404580516
0.153185.72449480691150.147101830058
0.163252.47078087754152.76905443558
0.173319.67902694791161.663627958985
0.183389.76914859356176.460784795978
0.193464.43418348749193.231746799591
0.23543.73376721713207.408621862327
0.213626.20707522081215.997154654948
0.223709.62911652614218.28090892051
0.233791.85231514554215.420102232585
0.243871.38301209761209.587521272074
0.253947.59756573323203.139782151929
0.264020.65511088962197.905689707113
0.274091.21725465118194.811160807116
0.284160.08997836353193.751717260433
0.294227.896572978193.749935656231
0.34294.87318307472193.47059862074
0.314360.83656539453191.765286198402
0.324425.31293906348188.104605947958
0.334487.76256621699182.678168070139
0.344547.80545892924176.307234333477
0.354605.35460719814170.05369301139
0.364660.60010048202164.685045599795
0.374713.86127366396160.275355032941
0.384765.40388959376156.343905030642
0.394815.34548559536152.294529843621
0.44863.70815998331148.000394890255
0.414910.56178220877143.953675113963
0.424956.12425308212140.90795750917
0.435000.71651198078138.994116489629
0.445044.58754401731137.633911706503
0.455087.73427767397135.630950945267
0.465129.85493584607131.961500333838
0.475170.4833061798126.5113593858
0.485209.22957800696119.978876539762
0.495245.99238912192113.63659379722
0.55281.04094684768108.796066651423
0.515314.95342068859106.237832076191
0.525348.46665970936106.151370195617
0.535382.30556534214108.248894458289
0.545417.03646605588111.785600601101
0.555452.96702875797115.786045232182
0.565490.10999119648119.251959112613
0.575528.22073264238121.45235735835
0.585566.89168389652122.101423770588
0.595605.6541882129121.20614485521
0.65644.03599089785118.879034899466
0.615681.56414688052115.108981053982
0.625717.7580833911109.80029385556
0.635752.17516724595103.162774362668
0.645784.5294924956895.8613809199876
0.655814.8333084311589.0525603802561
0.665843.4665505019783.9516100066466
0.675871.1016881452181.3306306841766
0.685898.4894851089381.0232987423361
0.695926.1965411967582.007156543746
0.75954.4211311587782.9109685689968
0.715982.9748301113182.656823745139
0.726011.4280584425980.8363108791175
0.736039.3354388782577.7852805274251
0.746066.4321199861674.2673257351589
0.756092.7340375674671.1585643874837
0.766118.5458990721869.2077374007468
0.776144.4213604987868.9416715674944
0.786171.094934026870.7214254649127
0.796199.3462487161674.4363104081814
0.86229.7555258985779.1615877157328
0.816262.4197140908583.2441258295638
0.826296.8309489955585.0637304296361
0.836332.0800219488784.0666041966743
0.846367.2787866257281.0146363409793
0.856401.8427892246277.0319861546187
0.866435.3799662967872.4043554769239
0.876467.3664500449466.4947771472116
0.886497.0557440246358.9066696547219
0.896523.7837935452150.3543327034596
0.96547.3838846671542.2585685564592
0.916568.5472093931436.2635943152635
0.926589.4275132394435.1022341851502
0.936614.261130378142.1351000018488
0.946648.3317493183955.9108680096642
0.956694.2940022016867.7966296967835
0.966749.6923145845569.5326195443297
0.976815.5995232166571.0170364460487
0.986918.65874258993106.045450163857
0.997079.40825216766112.896011979066


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')