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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 computationWed, 02 Oct 2013 11:50:45 -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/02/t1380729089mhugxxpp0ekoicm.htm/, Retrieved Wed, 11 Feb 2026 16:33:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212712, Retrieved Wed, 11 Feb 2026 16:33:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact368

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] [] [2013-10-02 15:50:45] [8116c518552551891bfed289dbb7dceb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
16.3
16.37
16.38
16.37
16.42
16.43
16.44
16.53
16.55
16.56
16.6
16.61
16.62
16.64
16.61
16.74
16.87
16.89
16.89
16.99
17.06
17.1
17.11
17.17
17.17
17.21
17.37
17.43
17.44
17.46
17.42
17.47
17.45
17.44
17.46
17.47
17.47
17.56
17.61
17.61
17.6
17.57
17.59
17.59
17.68
17.73
17.75
17.75
17.75
17.85
18.06
18.05
18.16
18.2
18.21
18.33
18.36
18.37
18.4
18.47
18.49
18.5
18.53
18.56
18.6
18.61
18.62
18.61
18.65
18.77
18.78
18.78
18.8
18.85
18.85
18.98
19.06
19.08
19.19
19.21
19.29
19.3
19.36
19.36

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212712&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]3 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=212712&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212712&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 time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0116.32195595035470.0503453370733887
0.0216.34936157006320.0319933763644269
0.0316.37199013799460.0282096722296682
0.0416.39091826762260.0354330123136264
0.0516.40983302721180.0454455579129466
0.0616.43061244628380.055112772731412
0.0716.4533965108340.0631091635306757
0.0816.47753698281770.06854133049002
0.0916.50220226320970.0712428621641296
0.116.52671781021620.0721492546102577
0.1116.55079186512010.0730869476520736
0.1216.57462100164270.0762563443482375
0.1316.59884064525280.0832066143289713
0.1416.62434117294230.094296562245826
0.1516.65202073324610.108712976265153
0.1616.68255703300010.124777648283437
0.1716.7162593493410.140741174643735
0.1816.75302718921480.154938778519218
0.1916.79240778704120.166287939386608
0.216.83371992395310.174310714078615
0.2116.87620083071310.179080016064874
0.2216.91913624604320.181181743329881
0.2316.96194697714650.181379655252875
0.2417.00422228025630.180414608904947
0.2517.04570533394730.178787158761192
0.2617.08624578775110.176806174226056
0.2717.12573829622650.174407911085092
0.2817.16406518809060.17128521966818
0.2917.20105745563880.166980971285667
0.317.23648232325330.161066107061493
0.3117.27005880869210.153335731001645
0.3217.30149605689140.143731965621646
0.3317.33054408834570.132641028402907
0.3417.35704411593720.120647769199992
0.3517.38096631788220.108542545981625
0.3617.40242660750440.0971659660135255
0.3717.42167939321060.0873016491887639
0.3817.43908902457650.0795419494729281
0.3917.45508711216690.0741966454516611
0.417.47012524044560.0713062919185497
0.4117.48463251135850.0704950199583309
0.4217.49898523857430.0714162962984698
0.4317.51349274192720.073565641530751
0.4417.52839948414930.0765474751382611
0.4517.54390056409990.0802107625926984
0.4617.56016539733220.084530504554109
0.4717.57736352097370.0896175423847058
0.4817.59568678795240.0956988568147289
0.4917.615363458140.103085374997504
0.517.63666142582330.112032948238628
0.5117.65987964165570.122639564998002
0.5217.68532842648180.134861275793801
0.5317.71330074489350.148584233042897
0.5417.7440376464790.163397113030902
0.5517.77769204326690.178681417107948
0.5617.81429571855120.193714740685108
0.5717.85373474853870.207651534461373
0.5817.89573806990150.219613251716147
0.5917.9398825192950.228902235044482
0.617.98561532646710.23476347599174
0.6118.03229212232050.237037270689356
0.6218.07922567730910.235550613149404
0.6318.1257385572070.230578157247235
0.6418.17121224735360.22259804637889
0.6518.21512624544580.212275461416021
0.6618.25708289577350.200271612643552
0.6718.29681671856810.187356009250459
0.6818.33418992278680.174142245405358
0.6918.36917802075540.16116424113297
0.718.40185058066550.148811225669036
0.7118.43235203421630.137341255626382
0.7218.46088620568240.127023033669856
0.7318.48770610989280.117964323386212
0.7418.51310799960190.110341034203595
0.7518.53742626184510.104303302229521
0.7618.56102444694420.0999714599918901
0.7718.58427842973610.0973624183103122
0.7818.60755105613590.0964114587145886
0.7918.63116320814520.0967883174722368
0.818.65537208977330.0979835573754777
0.8118.6803703920950.0995306909068448
0.8218.70631638140930.101070965911631
0.8318.73339337326160.102643272136281
0.8418.76188006962930.104736642938819
0.8518.79219808835630.108071818569011
0.8618.82489946209780.113296526898478
0.8718.86057216173120.120409003791851
0.8818.89967451247050.128494344279604
0.8918.94234679715750.135896274036575
0.918.98826971438940.140682432203897
0.9119.03662820892220.141287125010256
0.9219.08619797497870.136889109718806
0.9319.13552689863090.127575036673802
0.9419.18316367899590.114078070184226
0.9519.22787325125990.0976729330198263
0.9619.26869370494530.0800770140331993
0.9719.3045563675130.0626754962498181
0.9819.33346102714890.043993844305844
0.9919.35240411438410.0207379117445071

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 16.3219559503547 & 0.0503453370733887 \tabularnewline
0.02 & 16.3493615700632 & 0.0319933763644269 \tabularnewline
0.03 & 16.3719901379946 & 0.0282096722296682 \tabularnewline
0.04 & 16.3909182676226 & 0.0354330123136264 \tabularnewline
0.05 & 16.4098330272118 & 0.0454455579129466 \tabularnewline
0.06 & 16.4306124462838 & 0.055112772731412 \tabularnewline
0.07 & 16.453396510834 & 0.0631091635306757 \tabularnewline
0.08 & 16.4775369828177 & 0.06854133049002 \tabularnewline
0.09 & 16.5022022632097 & 0.0712428621641296 \tabularnewline
0.1 & 16.5267178102162 & 0.0721492546102577 \tabularnewline
0.11 & 16.5507918651201 & 0.0730869476520736 \tabularnewline
0.12 & 16.5746210016427 & 0.0762563443482375 \tabularnewline
0.13 & 16.5988406452528 & 0.0832066143289713 \tabularnewline
0.14 & 16.6243411729423 & 0.094296562245826 \tabularnewline
0.15 & 16.6520207332461 & 0.108712976265153 \tabularnewline
0.16 & 16.6825570330001 & 0.124777648283437 \tabularnewline
0.17 & 16.716259349341 & 0.140741174643735 \tabularnewline
0.18 & 16.7530271892148 & 0.154938778519218 \tabularnewline
0.19 & 16.7924077870412 & 0.166287939386608 \tabularnewline
0.2 & 16.8337199239531 & 0.174310714078615 \tabularnewline
0.21 & 16.8762008307131 & 0.179080016064874 \tabularnewline
0.22 & 16.9191362460432 & 0.181181743329881 \tabularnewline
0.23 & 16.9619469771465 & 0.181379655252875 \tabularnewline
0.24 & 17.0042222802563 & 0.180414608904947 \tabularnewline
0.25 & 17.0457053339473 & 0.178787158761192 \tabularnewline
0.26 & 17.0862457877511 & 0.176806174226056 \tabularnewline
0.27 & 17.1257382962265 & 0.174407911085092 \tabularnewline
0.28 & 17.1640651880906 & 0.17128521966818 \tabularnewline
0.29 & 17.2010574556388 & 0.166980971285667 \tabularnewline
0.3 & 17.2364823232533 & 0.161066107061493 \tabularnewline
0.31 & 17.2700588086921 & 0.153335731001645 \tabularnewline
0.32 & 17.3014960568914 & 0.143731965621646 \tabularnewline
0.33 & 17.3305440883457 & 0.132641028402907 \tabularnewline
0.34 & 17.3570441159372 & 0.120647769199992 \tabularnewline
0.35 & 17.3809663178822 & 0.108542545981625 \tabularnewline
0.36 & 17.4024266075044 & 0.0971659660135255 \tabularnewline
0.37 & 17.4216793932106 & 0.0873016491887639 \tabularnewline
0.38 & 17.4390890245765 & 0.0795419494729281 \tabularnewline
0.39 & 17.4550871121669 & 0.0741966454516611 \tabularnewline
0.4 & 17.4701252404456 & 0.0713062919185497 \tabularnewline
0.41 & 17.4846325113585 & 0.0704950199583309 \tabularnewline
0.42 & 17.4989852385743 & 0.0714162962984698 \tabularnewline
0.43 & 17.5134927419272 & 0.073565641530751 \tabularnewline
0.44 & 17.5283994841493 & 0.0765474751382611 \tabularnewline
0.45 & 17.5439005640999 & 0.0802107625926984 \tabularnewline
0.46 & 17.5601653973322 & 0.084530504554109 \tabularnewline
0.47 & 17.5773635209737 & 0.0896175423847058 \tabularnewline
0.48 & 17.5956867879524 & 0.0956988568147289 \tabularnewline
0.49 & 17.61536345814 & 0.103085374997504 \tabularnewline
0.5 & 17.6366614258233 & 0.112032948238628 \tabularnewline
0.51 & 17.6598796416557 & 0.122639564998002 \tabularnewline
0.52 & 17.6853284264818 & 0.134861275793801 \tabularnewline
0.53 & 17.7133007448935 & 0.148584233042897 \tabularnewline
0.54 & 17.744037646479 & 0.163397113030902 \tabularnewline
0.55 & 17.7776920432669 & 0.178681417107948 \tabularnewline
0.56 & 17.8142957185512 & 0.193714740685108 \tabularnewline
0.57 & 17.8537347485387 & 0.207651534461373 \tabularnewline
0.58 & 17.8957380699015 & 0.219613251716147 \tabularnewline
0.59 & 17.939882519295 & 0.228902235044482 \tabularnewline
0.6 & 17.9856153264671 & 0.23476347599174 \tabularnewline
0.61 & 18.0322921223205 & 0.237037270689356 \tabularnewline
0.62 & 18.0792256773091 & 0.235550613149404 \tabularnewline
0.63 & 18.125738557207 & 0.230578157247235 \tabularnewline
0.64 & 18.1712122473536 & 0.22259804637889 \tabularnewline
0.65 & 18.2151262454458 & 0.212275461416021 \tabularnewline
0.66 & 18.2570828957735 & 0.200271612643552 \tabularnewline
0.67 & 18.2968167185681 & 0.187356009250459 \tabularnewline
0.68 & 18.3341899227868 & 0.174142245405358 \tabularnewline
0.69 & 18.3691780207554 & 0.16116424113297 \tabularnewline
0.7 & 18.4018505806655 & 0.148811225669036 \tabularnewline
0.71 & 18.4323520342163 & 0.137341255626382 \tabularnewline
0.72 & 18.4608862056824 & 0.127023033669856 \tabularnewline
0.73 & 18.4877061098928 & 0.117964323386212 \tabularnewline
0.74 & 18.5131079996019 & 0.110341034203595 \tabularnewline
0.75 & 18.5374262618451 & 0.104303302229521 \tabularnewline
0.76 & 18.5610244469442 & 0.0999714599918901 \tabularnewline
0.77 & 18.5842784297361 & 0.0973624183103122 \tabularnewline
0.78 & 18.6075510561359 & 0.0964114587145886 \tabularnewline
0.79 & 18.6311632081452 & 0.0967883174722368 \tabularnewline
0.8 & 18.6553720897733 & 0.0979835573754777 \tabularnewline
0.81 & 18.680370392095 & 0.0995306909068448 \tabularnewline
0.82 & 18.7063163814093 & 0.101070965911631 \tabularnewline
0.83 & 18.7333933732616 & 0.102643272136281 \tabularnewline
0.84 & 18.7618800696293 & 0.104736642938819 \tabularnewline
0.85 & 18.7921980883563 & 0.108071818569011 \tabularnewline
0.86 & 18.8248994620978 & 0.113296526898478 \tabularnewline
0.87 & 18.8605721617312 & 0.120409003791851 \tabularnewline
0.88 & 18.8996745124705 & 0.128494344279604 \tabularnewline
0.89 & 18.9423467971575 & 0.135896274036575 \tabularnewline
0.9 & 18.9882697143894 & 0.140682432203897 \tabularnewline
0.91 & 19.0366282089222 & 0.141287125010256 \tabularnewline
0.92 & 19.0861979749787 & 0.136889109718806 \tabularnewline
0.93 & 19.1355268986309 & 0.127575036673802 \tabularnewline
0.94 & 19.1831636789959 & 0.114078070184226 \tabularnewline
0.95 & 19.2278732512599 & 0.0976729330198263 \tabularnewline
0.96 & 19.2686937049453 & 0.0800770140331993 \tabularnewline
0.97 & 19.304556367513 & 0.0626754962498181 \tabularnewline
0.98 & 19.3334610271489 & 0.043993844305844 \tabularnewline
0.99 & 19.3524041143841 & 0.0207379117445071 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212712&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]16.3219559503547[/C][C]0.0503453370733887[/C][/ROW]
[ROW][C]0.02[/C][C]16.3493615700632[/C][C]0.0319933763644269[/C][/ROW]
[ROW][C]0.03[/C][C]16.3719901379946[/C][C]0.0282096722296682[/C][/ROW]
[ROW][C]0.04[/C][C]16.3909182676226[/C][C]0.0354330123136264[/C][/ROW]
[ROW][C]0.05[/C][C]16.4098330272118[/C][C]0.0454455579129466[/C][/ROW]
[ROW][C]0.06[/C][C]16.4306124462838[/C][C]0.055112772731412[/C][/ROW]
[ROW][C]0.07[/C][C]16.453396510834[/C][C]0.0631091635306757[/C][/ROW]
[ROW][C]0.08[/C][C]16.4775369828177[/C][C]0.06854133049002[/C][/ROW]
[ROW][C]0.09[/C][C]16.5022022632097[/C][C]0.0712428621641296[/C][/ROW]
[ROW][C]0.1[/C][C]16.5267178102162[/C][C]0.0721492546102577[/C][/ROW]
[ROW][C]0.11[/C][C]16.5507918651201[/C][C]0.0730869476520736[/C][/ROW]
[ROW][C]0.12[/C][C]16.5746210016427[/C][C]0.0762563443482375[/C][/ROW]
[ROW][C]0.13[/C][C]16.5988406452528[/C][C]0.0832066143289713[/C][/ROW]
[ROW][C]0.14[/C][C]16.6243411729423[/C][C]0.094296562245826[/C][/ROW]
[ROW][C]0.15[/C][C]16.6520207332461[/C][C]0.108712976265153[/C][/ROW]
[ROW][C]0.16[/C][C]16.6825570330001[/C][C]0.124777648283437[/C][/ROW]
[ROW][C]0.17[/C][C]16.716259349341[/C][C]0.140741174643735[/C][/ROW]
[ROW][C]0.18[/C][C]16.7530271892148[/C][C]0.154938778519218[/C][/ROW]
[ROW][C]0.19[/C][C]16.7924077870412[/C][C]0.166287939386608[/C][/ROW]
[ROW][C]0.2[/C][C]16.8337199239531[/C][C]0.174310714078615[/C][/ROW]
[ROW][C]0.21[/C][C]16.8762008307131[/C][C]0.179080016064874[/C][/ROW]
[ROW][C]0.22[/C][C]16.9191362460432[/C][C]0.181181743329881[/C][/ROW]
[ROW][C]0.23[/C][C]16.9619469771465[/C][C]0.181379655252875[/C][/ROW]
[ROW][C]0.24[/C][C]17.0042222802563[/C][C]0.180414608904947[/C][/ROW]
[ROW][C]0.25[/C][C]17.0457053339473[/C][C]0.178787158761192[/C][/ROW]
[ROW][C]0.26[/C][C]17.0862457877511[/C][C]0.176806174226056[/C][/ROW]
[ROW][C]0.27[/C][C]17.1257382962265[/C][C]0.174407911085092[/C][/ROW]
[ROW][C]0.28[/C][C]17.1640651880906[/C][C]0.17128521966818[/C][/ROW]
[ROW][C]0.29[/C][C]17.2010574556388[/C][C]0.166980971285667[/C][/ROW]
[ROW][C]0.3[/C][C]17.2364823232533[/C][C]0.161066107061493[/C][/ROW]
[ROW][C]0.31[/C][C]17.2700588086921[/C][C]0.153335731001645[/C][/ROW]
[ROW][C]0.32[/C][C]17.3014960568914[/C][C]0.143731965621646[/C][/ROW]
[ROW][C]0.33[/C][C]17.3305440883457[/C][C]0.132641028402907[/C][/ROW]
[ROW][C]0.34[/C][C]17.3570441159372[/C][C]0.120647769199992[/C][/ROW]
[ROW][C]0.35[/C][C]17.3809663178822[/C][C]0.108542545981625[/C][/ROW]
[ROW][C]0.36[/C][C]17.4024266075044[/C][C]0.0971659660135255[/C][/ROW]
[ROW][C]0.37[/C][C]17.4216793932106[/C][C]0.0873016491887639[/C][/ROW]
[ROW][C]0.38[/C][C]17.4390890245765[/C][C]0.0795419494729281[/C][/ROW]
[ROW][C]0.39[/C][C]17.4550871121669[/C][C]0.0741966454516611[/C][/ROW]
[ROW][C]0.4[/C][C]17.4701252404456[/C][C]0.0713062919185497[/C][/ROW]
[ROW][C]0.41[/C][C]17.4846325113585[/C][C]0.0704950199583309[/C][/ROW]
[ROW][C]0.42[/C][C]17.4989852385743[/C][C]0.0714162962984698[/C][/ROW]
[ROW][C]0.43[/C][C]17.5134927419272[/C][C]0.073565641530751[/C][/ROW]
[ROW][C]0.44[/C][C]17.5283994841493[/C][C]0.0765474751382611[/C][/ROW]
[ROW][C]0.45[/C][C]17.5439005640999[/C][C]0.0802107625926984[/C][/ROW]
[ROW][C]0.46[/C][C]17.5601653973322[/C][C]0.084530504554109[/C][/ROW]
[ROW][C]0.47[/C][C]17.5773635209737[/C][C]0.0896175423847058[/C][/ROW]
[ROW][C]0.48[/C][C]17.5956867879524[/C][C]0.0956988568147289[/C][/ROW]
[ROW][C]0.49[/C][C]17.61536345814[/C][C]0.103085374997504[/C][/ROW]
[ROW][C]0.5[/C][C]17.6366614258233[/C][C]0.112032948238628[/C][/ROW]
[ROW][C]0.51[/C][C]17.6598796416557[/C][C]0.122639564998002[/C][/ROW]
[ROW][C]0.52[/C][C]17.6853284264818[/C][C]0.134861275793801[/C][/ROW]
[ROW][C]0.53[/C][C]17.7133007448935[/C][C]0.148584233042897[/C][/ROW]
[ROW][C]0.54[/C][C]17.744037646479[/C][C]0.163397113030902[/C][/ROW]
[ROW][C]0.55[/C][C]17.7776920432669[/C][C]0.178681417107948[/C][/ROW]
[ROW][C]0.56[/C][C]17.8142957185512[/C][C]0.193714740685108[/C][/ROW]
[ROW][C]0.57[/C][C]17.8537347485387[/C][C]0.207651534461373[/C][/ROW]
[ROW][C]0.58[/C][C]17.8957380699015[/C][C]0.219613251716147[/C][/ROW]
[ROW][C]0.59[/C][C]17.939882519295[/C][C]0.228902235044482[/C][/ROW]
[ROW][C]0.6[/C][C]17.9856153264671[/C][C]0.23476347599174[/C][/ROW]
[ROW][C]0.61[/C][C]18.0322921223205[/C][C]0.237037270689356[/C][/ROW]
[ROW][C]0.62[/C][C]18.0792256773091[/C][C]0.235550613149404[/C][/ROW]
[ROW][C]0.63[/C][C]18.125738557207[/C][C]0.230578157247235[/C][/ROW]
[ROW][C]0.64[/C][C]18.1712122473536[/C][C]0.22259804637889[/C][/ROW]
[ROW][C]0.65[/C][C]18.2151262454458[/C][C]0.212275461416021[/C][/ROW]
[ROW][C]0.66[/C][C]18.2570828957735[/C][C]0.200271612643552[/C][/ROW]
[ROW][C]0.67[/C][C]18.2968167185681[/C][C]0.187356009250459[/C][/ROW]
[ROW][C]0.68[/C][C]18.3341899227868[/C][C]0.174142245405358[/C][/ROW]
[ROW][C]0.69[/C][C]18.3691780207554[/C][C]0.16116424113297[/C][/ROW]
[ROW][C]0.7[/C][C]18.4018505806655[/C][C]0.148811225669036[/C][/ROW]
[ROW][C]0.71[/C][C]18.4323520342163[/C][C]0.137341255626382[/C][/ROW]
[ROW][C]0.72[/C][C]18.4608862056824[/C][C]0.127023033669856[/C][/ROW]
[ROW][C]0.73[/C][C]18.4877061098928[/C][C]0.117964323386212[/C][/ROW]
[ROW][C]0.74[/C][C]18.5131079996019[/C][C]0.110341034203595[/C][/ROW]
[ROW][C]0.75[/C][C]18.5374262618451[/C][C]0.104303302229521[/C][/ROW]
[ROW][C]0.76[/C][C]18.5610244469442[/C][C]0.0999714599918901[/C][/ROW]
[ROW][C]0.77[/C][C]18.5842784297361[/C][C]0.0973624183103122[/C][/ROW]
[ROW][C]0.78[/C][C]18.6075510561359[/C][C]0.0964114587145886[/C][/ROW]
[ROW][C]0.79[/C][C]18.6311632081452[/C][C]0.0967883174722368[/C][/ROW]
[ROW][C]0.8[/C][C]18.6553720897733[/C][C]0.0979835573754777[/C][/ROW]
[ROW][C]0.81[/C][C]18.680370392095[/C][C]0.0995306909068448[/C][/ROW]
[ROW][C]0.82[/C][C]18.7063163814093[/C][C]0.101070965911631[/C][/ROW]
[ROW][C]0.83[/C][C]18.7333933732616[/C][C]0.102643272136281[/C][/ROW]
[ROW][C]0.84[/C][C]18.7618800696293[/C][C]0.104736642938819[/C][/ROW]
[ROW][C]0.85[/C][C]18.7921980883563[/C][C]0.108071818569011[/C][/ROW]
[ROW][C]0.86[/C][C]18.8248994620978[/C][C]0.113296526898478[/C][/ROW]
[ROW][C]0.87[/C][C]18.8605721617312[/C][C]0.120409003791851[/C][/ROW]
[ROW][C]0.88[/C][C]18.8996745124705[/C][C]0.128494344279604[/C][/ROW]
[ROW][C]0.89[/C][C]18.9423467971575[/C][C]0.135896274036575[/C][/ROW]
[ROW][C]0.9[/C][C]18.9882697143894[/C][C]0.140682432203897[/C][/ROW]
[ROW][C]0.91[/C][C]19.0366282089222[/C][C]0.141287125010256[/C][/ROW]
[ROW][C]0.92[/C][C]19.0861979749787[/C][C]0.136889109718806[/C][/ROW]
[ROW][C]0.93[/C][C]19.1355268986309[/C][C]0.127575036673802[/C][/ROW]
[ROW][C]0.94[/C][C]19.1831636789959[/C][C]0.114078070184226[/C][/ROW]
[ROW][C]0.95[/C][C]19.2278732512599[/C][C]0.0976729330198263[/C][/ROW]
[ROW][C]0.96[/C][C]19.2686937049453[/C][C]0.0800770140331993[/C][/ROW]
[ROW][C]0.97[/C][C]19.304556367513[/C][C]0.0626754962498181[/C][/ROW]
[ROW][C]0.98[/C][C]19.3334610271489[/C][C]0.043993844305844[/C][/ROW]
[ROW][C]0.99[/C][C]19.3524041143841[/C][C]0.0207379117445071[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212712&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212712&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
0.0116.32195595035470.0503453370733887
0.0216.34936157006320.0319933763644269
0.0316.37199013799460.0282096722296682
0.0416.39091826762260.0354330123136264
0.0516.40983302721180.0454455579129466
0.0616.43061244628380.055112772731412
0.0716.4533965108340.0631091635306757
0.0816.47753698281770.06854133049002
0.0916.50220226320970.0712428621641296
0.116.52671781021620.0721492546102577
0.1116.55079186512010.0730869476520736
0.1216.57462100164270.0762563443482375
0.1316.59884064525280.0832066143289713
0.1416.62434117294230.094296562245826
0.1516.65202073324610.108712976265153
0.1616.68255703300010.124777648283437
0.1716.7162593493410.140741174643735
0.1816.75302718921480.154938778519218
0.1916.79240778704120.166287939386608
0.216.83371992395310.174310714078615
0.2116.87620083071310.179080016064874
0.2216.91913624604320.181181743329881
0.2316.96194697714650.181379655252875
0.2417.00422228025630.180414608904947
0.2517.04570533394730.178787158761192
0.2617.08624578775110.176806174226056
0.2717.12573829622650.174407911085092
0.2817.16406518809060.17128521966818
0.2917.20105745563880.166980971285667
0.317.23648232325330.161066107061493
0.3117.27005880869210.153335731001645
0.3217.30149605689140.143731965621646
0.3317.33054408834570.132641028402907
0.3417.35704411593720.120647769199992
0.3517.38096631788220.108542545981625
0.3617.40242660750440.0971659660135255
0.3717.42167939321060.0873016491887639
0.3817.43908902457650.0795419494729281
0.3917.45508711216690.0741966454516611
0.417.47012524044560.0713062919185497
0.4117.48463251135850.0704950199583309
0.4217.49898523857430.0714162962984698
0.4317.51349274192720.073565641530751
0.4417.52839948414930.0765474751382611
0.4517.54390056409990.0802107625926984
0.4617.56016539733220.084530504554109
0.4717.57736352097370.0896175423847058
0.4817.59568678795240.0956988568147289
0.4917.615363458140.103085374997504
0.517.63666142582330.112032948238628
0.5117.65987964165570.122639564998002
0.5217.68532842648180.134861275793801
0.5317.71330074489350.148584233042897
0.5417.7440376464790.163397113030902
0.5517.77769204326690.178681417107948
0.5617.81429571855120.193714740685108
0.5717.85373474853870.207651534461373
0.5817.89573806990150.219613251716147
0.5917.9398825192950.228902235044482
0.617.98561532646710.23476347599174
0.6118.03229212232050.237037270689356
0.6218.07922567730910.235550613149404
0.6318.1257385572070.230578157247235
0.6418.17121224735360.22259804637889
0.6518.21512624544580.212275461416021
0.6618.25708289577350.200271612643552
0.6718.29681671856810.187356009250459
0.6818.33418992278680.174142245405358
0.6918.36917802075540.16116424113297
0.718.40185058066550.148811225669036
0.7118.43235203421630.137341255626382
0.7218.46088620568240.127023033669856
0.7318.48770610989280.117964323386212
0.7418.51310799960190.110341034203595
0.7518.53742626184510.104303302229521
0.7618.56102444694420.0999714599918901
0.7718.58427842973610.0973624183103122
0.7818.60755105613590.0964114587145886
0.7918.63116320814520.0967883174722368
0.818.65537208977330.0979835573754777
0.8118.6803703920950.0995306909068448
0.8218.70631638140930.101070965911631
0.8318.73339337326160.102643272136281
0.8418.76188006962930.104736642938819
0.8518.79219808835630.108071818569011
0.8618.82489946209780.113296526898478
0.8718.86057216173120.120409003791851
0.8818.89967451247050.128494344279604
0.8918.94234679715750.135896274036575
0.918.98826971438940.140682432203897
0.9119.03662820892220.141287125010256
0.9219.08619797497870.136889109718806
0.9319.13552689863090.127575036673802
0.9419.18316367899590.114078070184226
0.9519.22787325125990.0976729330198263
0.9619.26869370494530.0800770140331993
0.9719.3045563675130.0626754962498181
0.9819.33346102714890.043993844305844
0.9919.35240411438410.0207379117445071


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')