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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 computationSun, 16 Feb 2014 12:37:17 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Feb/16/t1392572273w55rpufnwns6ust.htm/, Retrieved Wed, 15 May 2024 05:16:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233794, Retrieved Wed, 15 May 2024 05:16:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact50

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] [] [2014-02-16 17:37:17] [921fe14319b38fdaec959b1bea4c8145] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-65
-75
-77
-75
-71
-71
-72
-64
-63
-68
-64
-52
-47
-52
-47
-36
-33
-44
-32
-23
-26
-24
-17
-29
-14
-12
-13
-15
-17
-22
-22
-39
-56
-66
-66
-71
-69
-71
-72
-67
-72
-77
-64
-64
-57
-63
-69
-76
-70
-78
-78
-76
-69
-73
-73
-62
-63
-61
-46
-40

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233794&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233794&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233794&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-77.93491731238820.208360500911086
0.02-77.78896379200190.449430850339843
0.03-77.56832754042080.627436692793171
0.04-77.29618784705090.734653786164195
0.05-76.99592600603220.810570975788197
0.06-76.68187936774530.88989233756262
0.07-76.35894518464810.984612310976091
0.08-76.02655860536451.09187671970922
0.09-75.6828576191371.20333982716373
0.1-75.32726993342881.30869783945929
0.11-74.96150825808781.3970623825917
0.12-74.58951955641841.45891878900787
0.13-74.21685979402351.48828203769225
0.14-73.84979259185221.48386854594745
0.15-73.49432375512831.44917652422947
0.16-73.15535274561421.39192662514123
0.17-72.83608147691281.32177186939933
0.18-72.53775017406071.24913156336426
0.19-72.25968908680591.18339467193465
0.2-71.99961200190031.13200716880984
0.21-71.75404864891091.09998265419468
0.22-71.518817142021.0897789398308
0.23-71.28946254134621.10187920697941
0.24-71.06161907340981.13490145661311
0.25-70.83128085205711.18622182843178
0.26-70.5949842973251.25256392203694
0.27-70.34991499532561.33020276895803
0.28-70.093955133841.41547051485532
0.29-69.82568775619081.5047796242676
0.3-69.54437267258531.59518849433093
0.31-69.24990646454191.68343986587255
0.32-68.94277546088071.76677265888894
0.33-68.62400580882271.84259327706765
0.34-68.2951093555411.90810058806923
0.35-67.95801912430661.96086173726131
0.36-67.61500503940911.99877055889555
0.37-67.2685602214472.02038319517471
0.38-66.92125092133822.02522327204015
0.39-66.57552846047622.01403847711041
0.4-66.23350825898141.98909576747707
0.41-65.89672779277151.95418643273437
0.42-65.56590090558191.91499804234439
0.43-65.24068951408431.87843059140648
0.44-64.91951507738771.85336292059336
0.45-64.59943135146021.84947584496288
0.46-64.27607721776431.87706418450186
0.47-63.94372407703661.94565492125557
0.48-63.59542663091622.06350473695014
0.49-63.2232789048482.23565631936827
0.5-62.81876913631012.46391287458247
0.51-62.37321784866292.74628756462873
0.52-61.87827356201283.07743596964424
0.53-61.32643110244673.44887877698149
0.54-60.71152972291613.84949555158437
0.55-60.0291838551344.26602398772805
0.56-59.27709982598944.68409722863919
0.57-58.4552384051645.08897308461972
0.58-57.56579589988825.46682512205103
0.59-56.61299490158895.80593367437864
0.6-55.60269779914556.09747511235374
0.61-54.54187890885016.3364934366019
0.62-53.43801105093596.52219746495216
0.63-52.29843612955686.6578083624854
0.64-51.12979389391336.75013514108303
0.65-49.93757700186516.80855776792957
0.66-48.72586397638446.8434686606736
0.67-47.49725682976586.86502370168255
0.68-46.25302103507296.88160219029453
0.69-44.99339734692756.89882789815804
0.7-43.7180330700956.9186562418419
0.71-42.42646896303956.93985408543012
0.72-41.11861886357446.95825326512052
0.73-39.79519090897846.96761010262274
0.74-38.45801718942936.9608742359688
0.75-37.11027588900356.93063301348812
0.76-35.75659941161526.86988063736404
0.77-34.40305940346636.77227591962176
0.78-33.05700624439076.63246377387435
0.79-31.72672483128466.44662145355859
0.8-30.42086478612476.2133025061494
0.81-29.14762785939055.93469520488927
0.82-27.91375871253985.61801955729952
0.83-26.72348288628285.27636809984514
0.84-25.5776410985174.92854687327281
0.85-24.47333437912214.59684523924959
0.86-23.40436436007334.30237269818406
0.87-22.36259025975014.05820382276589
0.88-21.34004179250613.86280012671844
0.89-20.3313074744253.69779800956868
0.9-19.33549655296073.53320631027659
0.91-18.35708101933673.33833186886816
0.92-17.40520558514013.09283444984588
0.93-16.49151795359872.79280441449916
0.94-15.62706241688262.4499712622812
0.95-14.81928505239162.08616461599148
0.96-14.07103733200931.72737318286207
0.97-13.38484846605741.40255011067634
0.98-12.775868176551.14995040750083
0.99-12.28959885240911.01314055984502

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -77.9349173123882 & 0.208360500911086 \tabularnewline
0.02 & -77.7889637920019 & 0.449430850339843 \tabularnewline
0.03 & -77.5683275404208 & 0.627436692793171 \tabularnewline
0.04 & -77.2961878470509 & 0.734653786164195 \tabularnewline
0.05 & -76.9959260060322 & 0.810570975788197 \tabularnewline
0.06 & -76.6818793677453 & 0.88989233756262 \tabularnewline
0.07 & -76.3589451846481 & 0.984612310976091 \tabularnewline
0.08 & -76.0265586053645 & 1.09187671970922 \tabularnewline
0.09 & -75.682857619137 & 1.20333982716373 \tabularnewline
0.1 & -75.3272699334288 & 1.30869783945929 \tabularnewline
0.11 & -74.9615082580878 & 1.3970623825917 \tabularnewline
0.12 & -74.5895195564184 & 1.45891878900787 \tabularnewline
0.13 & -74.2168597940235 & 1.48828203769225 \tabularnewline
0.14 & -73.8497925918522 & 1.48386854594745 \tabularnewline
0.15 & -73.4943237551283 & 1.44917652422947 \tabularnewline
0.16 & -73.1553527456142 & 1.39192662514123 \tabularnewline
0.17 & -72.8360814769128 & 1.32177186939933 \tabularnewline
0.18 & -72.5377501740607 & 1.24913156336426 \tabularnewline
0.19 & -72.2596890868059 & 1.18339467193465 \tabularnewline
0.2 & -71.9996120019003 & 1.13200716880984 \tabularnewline
0.21 & -71.7540486489109 & 1.09998265419468 \tabularnewline
0.22 & -71.51881714202 & 1.0897789398308 \tabularnewline
0.23 & -71.2894625413462 & 1.10187920697941 \tabularnewline
0.24 & -71.0616190734098 & 1.13490145661311 \tabularnewline
0.25 & -70.8312808520571 & 1.18622182843178 \tabularnewline
0.26 & -70.594984297325 & 1.25256392203694 \tabularnewline
0.27 & -70.3499149953256 & 1.33020276895803 \tabularnewline
0.28 & -70.09395513384 & 1.41547051485532 \tabularnewline
0.29 & -69.8256877561908 & 1.5047796242676 \tabularnewline
0.3 & -69.5443726725853 & 1.59518849433093 \tabularnewline
0.31 & -69.2499064645419 & 1.68343986587255 \tabularnewline
0.32 & -68.9427754608807 & 1.76677265888894 \tabularnewline
0.33 & -68.6240058088227 & 1.84259327706765 \tabularnewline
0.34 & -68.295109355541 & 1.90810058806923 \tabularnewline
0.35 & -67.9580191243066 & 1.96086173726131 \tabularnewline
0.36 & -67.6150050394091 & 1.99877055889555 \tabularnewline
0.37 & -67.268560221447 & 2.02038319517471 \tabularnewline
0.38 & -66.9212509213382 & 2.02522327204015 \tabularnewline
0.39 & -66.5755284604762 & 2.01403847711041 \tabularnewline
0.4 & -66.2335082589814 & 1.98909576747707 \tabularnewline
0.41 & -65.8967277927715 & 1.95418643273437 \tabularnewline
0.42 & -65.5659009055819 & 1.91499804234439 \tabularnewline
0.43 & -65.2406895140843 & 1.87843059140648 \tabularnewline
0.44 & -64.9195150773877 & 1.85336292059336 \tabularnewline
0.45 & -64.5994313514602 & 1.84947584496288 \tabularnewline
0.46 & -64.2760772177643 & 1.87706418450186 \tabularnewline
0.47 & -63.9437240770366 & 1.94565492125557 \tabularnewline
0.48 & -63.5954266309162 & 2.06350473695014 \tabularnewline
0.49 & -63.223278904848 & 2.23565631936827 \tabularnewline
0.5 & -62.8187691363101 & 2.46391287458247 \tabularnewline
0.51 & -62.3732178486629 & 2.74628756462873 \tabularnewline
0.52 & -61.8782735620128 & 3.07743596964424 \tabularnewline
0.53 & -61.3264311024467 & 3.44887877698149 \tabularnewline
0.54 & -60.7115297229161 & 3.84949555158437 \tabularnewline
0.55 & -60.029183855134 & 4.26602398772805 \tabularnewline
0.56 & -59.2770998259894 & 4.68409722863919 \tabularnewline
0.57 & -58.455238405164 & 5.08897308461972 \tabularnewline
0.58 & -57.5657958998882 & 5.46682512205103 \tabularnewline
0.59 & -56.6129949015889 & 5.80593367437864 \tabularnewline
0.6 & -55.6026977991455 & 6.09747511235374 \tabularnewline
0.61 & -54.5418789088501 & 6.3364934366019 \tabularnewline
0.62 & -53.4380110509359 & 6.52219746495216 \tabularnewline
0.63 & -52.2984361295568 & 6.6578083624854 \tabularnewline
0.64 & -51.1297938939133 & 6.75013514108303 \tabularnewline
0.65 & -49.9375770018651 & 6.80855776792957 \tabularnewline
0.66 & -48.7258639763844 & 6.8434686606736 \tabularnewline
0.67 & -47.4972568297658 & 6.86502370168255 \tabularnewline
0.68 & -46.2530210350729 & 6.88160219029453 \tabularnewline
0.69 & -44.9933973469275 & 6.89882789815804 \tabularnewline
0.7 & -43.718033070095 & 6.9186562418419 \tabularnewline
0.71 & -42.4264689630395 & 6.93985408543012 \tabularnewline
0.72 & -41.1186188635744 & 6.95825326512052 \tabularnewline
0.73 & -39.7951909089784 & 6.96761010262274 \tabularnewline
0.74 & -38.4580171894293 & 6.9608742359688 \tabularnewline
0.75 & -37.1102758890035 & 6.93063301348812 \tabularnewline
0.76 & -35.7565994116152 & 6.86988063736404 \tabularnewline
0.77 & -34.4030594034663 & 6.77227591962176 \tabularnewline
0.78 & -33.0570062443907 & 6.63246377387435 \tabularnewline
0.79 & -31.7267248312846 & 6.44662145355859 \tabularnewline
0.8 & -30.4208647861247 & 6.2133025061494 \tabularnewline
0.81 & -29.1476278593905 & 5.93469520488927 \tabularnewline
0.82 & -27.9137587125398 & 5.61801955729952 \tabularnewline
0.83 & -26.7234828862828 & 5.27636809984514 \tabularnewline
0.84 & -25.577641098517 & 4.92854687327281 \tabularnewline
0.85 & -24.4733343791221 & 4.59684523924959 \tabularnewline
0.86 & -23.4043643600733 & 4.30237269818406 \tabularnewline
0.87 & -22.3625902597501 & 4.05820382276589 \tabularnewline
0.88 & -21.3400417925061 & 3.86280012671844 \tabularnewline
0.89 & -20.331307474425 & 3.69779800956868 \tabularnewline
0.9 & -19.3354965529607 & 3.53320631027659 \tabularnewline
0.91 & -18.3570810193367 & 3.33833186886816 \tabularnewline
0.92 & -17.4052055851401 & 3.09283444984588 \tabularnewline
0.93 & -16.4915179535987 & 2.79280441449916 \tabularnewline
0.94 & -15.6270624168826 & 2.4499712622812 \tabularnewline
0.95 & -14.8192850523916 & 2.08616461599148 \tabularnewline
0.96 & -14.0710373320093 & 1.72737318286207 \tabularnewline
0.97 & -13.3848484660574 & 1.40255011067634 \tabularnewline
0.98 & -12.77586817655 & 1.14995040750083 \tabularnewline
0.99 & -12.2895988524091 & 1.01314055984502 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233794&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]-77.9349173123882[/C][C]0.208360500911086[/C][/ROW]
[ROW][C]0.02[/C][C]-77.7889637920019[/C][C]0.449430850339843[/C][/ROW]
[ROW][C]0.03[/C][C]-77.5683275404208[/C][C]0.627436692793171[/C][/ROW]
[ROW][C]0.04[/C][C]-77.2961878470509[/C][C]0.734653786164195[/C][/ROW]
[ROW][C]0.05[/C][C]-76.9959260060322[/C][C]0.810570975788197[/C][/ROW]
[ROW][C]0.06[/C][C]-76.6818793677453[/C][C]0.88989233756262[/C][/ROW]
[ROW][C]0.07[/C][C]-76.3589451846481[/C][C]0.984612310976091[/C][/ROW]
[ROW][C]0.08[/C][C]-76.0265586053645[/C][C]1.09187671970922[/C][/ROW]
[ROW][C]0.09[/C][C]-75.682857619137[/C][C]1.20333982716373[/C][/ROW]
[ROW][C]0.1[/C][C]-75.3272699334288[/C][C]1.30869783945929[/C][/ROW]
[ROW][C]0.11[/C][C]-74.9615082580878[/C][C]1.3970623825917[/C][/ROW]
[ROW][C]0.12[/C][C]-74.5895195564184[/C][C]1.45891878900787[/C][/ROW]
[ROW][C]0.13[/C][C]-74.2168597940235[/C][C]1.48828203769225[/C][/ROW]
[ROW][C]0.14[/C][C]-73.8497925918522[/C][C]1.48386854594745[/C][/ROW]
[ROW][C]0.15[/C][C]-73.4943237551283[/C][C]1.44917652422947[/C][/ROW]
[ROW][C]0.16[/C][C]-73.1553527456142[/C][C]1.39192662514123[/C][/ROW]
[ROW][C]0.17[/C][C]-72.8360814769128[/C][C]1.32177186939933[/C][/ROW]
[ROW][C]0.18[/C][C]-72.5377501740607[/C][C]1.24913156336426[/C][/ROW]
[ROW][C]0.19[/C][C]-72.2596890868059[/C][C]1.18339467193465[/C][/ROW]
[ROW][C]0.2[/C][C]-71.9996120019003[/C][C]1.13200716880984[/C][/ROW]
[ROW][C]0.21[/C][C]-71.7540486489109[/C][C]1.09998265419468[/C][/ROW]
[ROW][C]0.22[/C][C]-71.51881714202[/C][C]1.0897789398308[/C][/ROW]
[ROW][C]0.23[/C][C]-71.2894625413462[/C][C]1.10187920697941[/C][/ROW]
[ROW][C]0.24[/C][C]-71.0616190734098[/C][C]1.13490145661311[/C][/ROW]
[ROW][C]0.25[/C][C]-70.8312808520571[/C][C]1.18622182843178[/C][/ROW]
[ROW][C]0.26[/C][C]-70.594984297325[/C][C]1.25256392203694[/C][/ROW]
[ROW][C]0.27[/C][C]-70.3499149953256[/C][C]1.33020276895803[/C][/ROW]
[ROW][C]0.28[/C][C]-70.09395513384[/C][C]1.41547051485532[/C][/ROW]
[ROW][C]0.29[/C][C]-69.8256877561908[/C][C]1.5047796242676[/C][/ROW]
[ROW][C]0.3[/C][C]-69.5443726725853[/C][C]1.59518849433093[/C][/ROW]
[ROW][C]0.31[/C][C]-69.2499064645419[/C][C]1.68343986587255[/C][/ROW]
[ROW][C]0.32[/C][C]-68.9427754608807[/C][C]1.76677265888894[/C][/ROW]
[ROW][C]0.33[/C][C]-68.6240058088227[/C][C]1.84259327706765[/C][/ROW]
[ROW][C]0.34[/C][C]-68.295109355541[/C][C]1.90810058806923[/C][/ROW]
[ROW][C]0.35[/C][C]-67.9580191243066[/C][C]1.96086173726131[/C][/ROW]
[ROW][C]0.36[/C][C]-67.6150050394091[/C][C]1.99877055889555[/C][/ROW]
[ROW][C]0.37[/C][C]-67.268560221447[/C][C]2.02038319517471[/C][/ROW]
[ROW][C]0.38[/C][C]-66.9212509213382[/C][C]2.02522327204015[/C][/ROW]
[ROW][C]0.39[/C][C]-66.5755284604762[/C][C]2.01403847711041[/C][/ROW]
[ROW][C]0.4[/C][C]-66.2335082589814[/C][C]1.98909576747707[/C][/ROW]
[ROW][C]0.41[/C][C]-65.8967277927715[/C][C]1.95418643273437[/C][/ROW]
[ROW][C]0.42[/C][C]-65.5659009055819[/C][C]1.91499804234439[/C][/ROW]
[ROW][C]0.43[/C][C]-65.2406895140843[/C][C]1.87843059140648[/C][/ROW]
[ROW][C]0.44[/C][C]-64.9195150773877[/C][C]1.85336292059336[/C][/ROW]
[ROW][C]0.45[/C][C]-64.5994313514602[/C][C]1.84947584496288[/C][/ROW]
[ROW][C]0.46[/C][C]-64.2760772177643[/C][C]1.87706418450186[/C][/ROW]
[ROW][C]0.47[/C][C]-63.9437240770366[/C][C]1.94565492125557[/C][/ROW]
[ROW][C]0.48[/C][C]-63.5954266309162[/C][C]2.06350473695014[/C][/ROW]
[ROW][C]0.49[/C][C]-63.223278904848[/C][C]2.23565631936827[/C][/ROW]
[ROW][C]0.5[/C][C]-62.8187691363101[/C][C]2.46391287458247[/C][/ROW]
[ROW][C]0.51[/C][C]-62.3732178486629[/C][C]2.74628756462873[/C][/ROW]
[ROW][C]0.52[/C][C]-61.8782735620128[/C][C]3.07743596964424[/C][/ROW]
[ROW][C]0.53[/C][C]-61.3264311024467[/C][C]3.44887877698149[/C][/ROW]
[ROW][C]0.54[/C][C]-60.7115297229161[/C][C]3.84949555158437[/C][/ROW]
[ROW][C]0.55[/C][C]-60.029183855134[/C][C]4.26602398772805[/C][/ROW]
[ROW][C]0.56[/C][C]-59.2770998259894[/C][C]4.68409722863919[/C][/ROW]
[ROW][C]0.57[/C][C]-58.455238405164[/C][C]5.08897308461972[/C][/ROW]
[ROW][C]0.58[/C][C]-57.5657958998882[/C][C]5.46682512205103[/C][/ROW]
[ROW][C]0.59[/C][C]-56.6129949015889[/C][C]5.80593367437864[/C][/ROW]
[ROW][C]0.6[/C][C]-55.6026977991455[/C][C]6.09747511235374[/C][/ROW]
[ROW][C]0.61[/C][C]-54.5418789088501[/C][C]6.3364934366019[/C][/ROW]
[ROW][C]0.62[/C][C]-53.4380110509359[/C][C]6.52219746495216[/C][/ROW]
[ROW][C]0.63[/C][C]-52.2984361295568[/C][C]6.6578083624854[/C][/ROW]
[ROW][C]0.64[/C][C]-51.1297938939133[/C][C]6.75013514108303[/C][/ROW]
[ROW][C]0.65[/C][C]-49.9375770018651[/C][C]6.80855776792957[/C][/ROW]
[ROW][C]0.66[/C][C]-48.7258639763844[/C][C]6.8434686606736[/C][/ROW]
[ROW][C]0.67[/C][C]-47.4972568297658[/C][C]6.86502370168255[/C][/ROW]
[ROW][C]0.68[/C][C]-46.2530210350729[/C][C]6.88160219029453[/C][/ROW]
[ROW][C]0.69[/C][C]-44.9933973469275[/C][C]6.89882789815804[/C][/ROW]
[ROW][C]0.7[/C][C]-43.718033070095[/C][C]6.9186562418419[/C][/ROW]
[ROW][C]0.71[/C][C]-42.4264689630395[/C][C]6.93985408543012[/C][/ROW]
[ROW][C]0.72[/C][C]-41.1186188635744[/C][C]6.95825326512052[/C][/ROW]
[ROW][C]0.73[/C][C]-39.7951909089784[/C][C]6.96761010262274[/C][/ROW]
[ROW][C]0.74[/C][C]-38.4580171894293[/C][C]6.9608742359688[/C][/ROW]
[ROW][C]0.75[/C][C]-37.1102758890035[/C][C]6.93063301348812[/C][/ROW]
[ROW][C]0.76[/C][C]-35.7565994116152[/C][C]6.86988063736404[/C][/ROW]
[ROW][C]0.77[/C][C]-34.4030594034663[/C][C]6.77227591962176[/C][/ROW]
[ROW][C]0.78[/C][C]-33.0570062443907[/C][C]6.63246377387435[/C][/ROW]
[ROW][C]0.79[/C][C]-31.7267248312846[/C][C]6.44662145355859[/C][/ROW]
[ROW][C]0.8[/C][C]-30.4208647861247[/C][C]6.2133025061494[/C][/ROW]
[ROW][C]0.81[/C][C]-29.1476278593905[/C][C]5.93469520488927[/C][/ROW]
[ROW][C]0.82[/C][C]-27.9137587125398[/C][C]5.61801955729952[/C][/ROW]
[ROW][C]0.83[/C][C]-26.7234828862828[/C][C]5.27636809984514[/C][/ROW]
[ROW][C]0.84[/C][C]-25.577641098517[/C][C]4.92854687327281[/C][/ROW]
[ROW][C]0.85[/C][C]-24.4733343791221[/C][C]4.59684523924959[/C][/ROW]
[ROW][C]0.86[/C][C]-23.4043643600733[/C][C]4.30237269818406[/C][/ROW]
[ROW][C]0.87[/C][C]-22.3625902597501[/C][C]4.05820382276589[/C][/ROW]
[ROW][C]0.88[/C][C]-21.3400417925061[/C][C]3.86280012671844[/C][/ROW]
[ROW][C]0.89[/C][C]-20.331307474425[/C][C]3.69779800956868[/C][/ROW]
[ROW][C]0.9[/C][C]-19.3354965529607[/C][C]3.53320631027659[/C][/ROW]
[ROW][C]0.91[/C][C]-18.3570810193367[/C][C]3.33833186886816[/C][/ROW]
[ROW][C]0.92[/C][C]-17.4052055851401[/C][C]3.09283444984588[/C][/ROW]
[ROW][C]0.93[/C][C]-16.4915179535987[/C][C]2.79280441449916[/C][/ROW]
[ROW][C]0.94[/C][C]-15.6270624168826[/C][C]2.4499712622812[/C][/ROW]
[ROW][C]0.95[/C][C]-14.8192850523916[/C][C]2.08616461599148[/C][/ROW]
[ROW][C]0.96[/C][C]-14.0710373320093[/C][C]1.72737318286207[/C][/ROW]
[ROW][C]0.97[/C][C]-13.3848484660574[/C][C]1.40255011067634[/C][/ROW]
[ROW][C]0.98[/C][C]-12.77586817655[/C][C]1.14995040750083[/C][/ROW]
[ROW][C]0.99[/C][C]-12.2895988524091[/C][C]1.01314055984502[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233794&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233794&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
0.01-77.93491731238820.208360500911086
0.02-77.78896379200190.449430850339843
0.03-77.56832754042080.627436692793171
0.04-77.29618784705090.734653786164195
0.05-76.99592600603220.810570975788197
0.06-76.68187936774530.88989233756262
0.07-76.35894518464810.984612310976091
0.08-76.02655860536451.09187671970922
0.09-75.6828576191371.20333982716373
0.1-75.32726993342881.30869783945929
0.11-74.96150825808781.3970623825917
0.12-74.58951955641841.45891878900787
0.13-74.21685979402351.48828203769225
0.14-73.84979259185221.48386854594745
0.15-73.49432375512831.44917652422947
0.16-73.15535274561421.39192662514123
0.17-72.83608147691281.32177186939933
0.18-72.53775017406071.24913156336426
0.19-72.25968908680591.18339467193465
0.2-71.99961200190031.13200716880984
0.21-71.75404864891091.09998265419468
0.22-71.518817142021.0897789398308
0.23-71.28946254134621.10187920697941
0.24-71.06161907340981.13490145661311
0.25-70.83128085205711.18622182843178
0.26-70.5949842973251.25256392203694
0.27-70.34991499532561.33020276895803
0.28-70.093955133841.41547051485532
0.29-69.82568775619081.5047796242676
0.3-69.54437267258531.59518849433093
0.31-69.24990646454191.68343986587255
0.32-68.94277546088071.76677265888894
0.33-68.62400580882271.84259327706765
0.34-68.2951093555411.90810058806923
0.35-67.95801912430661.96086173726131
0.36-67.61500503940911.99877055889555
0.37-67.2685602214472.02038319517471
0.38-66.92125092133822.02522327204015
0.39-66.57552846047622.01403847711041
0.4-66.23350825898141.98909576747707
0.41-65.89672779277151.95418643273437
0.42-65.56590090558191.91499804234439
0.43-65.24068951408431.87843059140648
0.44-64.91951507738771.85336292059336
0.45-64.59943135146021.84947584496288
0.46-64.27607721776431.87706418450186
0.47-63.94372407703661.94565492125557
0.48-63.59542663091622.06350473695014
0.49-63.2232789048482.23565631936827
0.5-62.81876913631012.46391287458247
0.51-62.37321784866292.74628756462873
0.52-61.87827356201283.07743596964424
0.53-61.32643110244673.44887877698149
0.54-60.71152972291613.84949555158437
0.55-60.0291838551344.26602398772805
0.56-59.27709982598944.68409722863919
0.57-58.4552384051645.08897308461972
0.58-57.56579589988825.46682512205103
0.59-56.61299490158895.80593367437864
0.6-55.60269779914556.09747511235374
0.61-54.54187890885016.3364934366019
0.62-53.43801105093596.52219746495216
0.63-52.29843612955686.6578083624854
0.64-51.12979389391336.75013514108303
0.65-49.93757700186516.80855776792957
0.66-48.72586397638446.8434686606736
0.67-47.49725682976586.86502370168255
0.68-46.25302103507296.88160219029453
0.69-44.99339734692756.89882789815804
0.7-43.7180330700956.9186562418419
0.71-42.42646896303956.93985408543012
0.72-41.11861886357446.95825326512052
0.73-39.79519090897846.96761010262274
0.74-38.45801718942936.9608742359688
0.75-37.11027588900356.93063301348812
0.76-35.75659941161526.86988063736404
0.77-34.40305940346636.77227591962176
0.78-33.05700624439076.63246377387435
0.79-31.72672483128466.44662145355859
0.8-30.42086478612476.2133025061494
0.81-29.14762785939055.93469520488927
0.82-27.91375871253985.61801955729952
0.83-26.72348288628285.27636809984514
0.84-25.5776410985174.92854687327281
0.85-24.47333437912214.59684523924959
0.86-23.40436436007334.30237269818406
0.87-22.36259025975014.05820382276589
0.88-21.34004179250613.86280012671844
0.89-20.3313074744253.69779800956868
0.9-19.33549655296073.53320631027659
0.91-18.35708101933673.33833186886816
0.92-17.40520558514013.09283444984588
0.93-16.49151795359872.79280441449916
0.94-15.62706241688262.4499712622812
0.95-14.81928505239162.08616461599148
0.96-14.07103733200931.72737318286207
0.97-13.38484846605741.40255011067634
0.98-12.775868176551.14995040750083
0.99-12.28959885240911.01314055984502


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')