FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 16 Aug 2011 11:11:29 -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/2011/Aug/16/t1313507540xlrsq3ltd7uohft.htm/, Retrieved Tue, 14 May 2024 12:39:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=123883, Retrieved Tue, 14 May 2024 12:39:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsmattias debbaut
Estimated Impact105

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] [tijdreeks B - har...] [2011-08-16 15:11:29] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
510
460
570
520
470
500
520
500
580
460
530
610
460
380
570
480
530
530
580
420
580
460
520
640
380
360
610
440
520
540
580
360
500
530
470
660
410
360
610
360
540
560
580
480
560
560
390
630
380
440
620
310
500
660
420
550
570
560
290
560
320
440
610
250
510
670
350
590
500
530
300
620
280
450
620
320
560
680
370
670
510
480
280
570
240
460
600
320
570
680
390
700
570
450
270
640
230
490
590
310
570
660
370
600
540
510
330
590

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=123883&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=123883&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123883&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
0.01236.95660505269611.9000440561656
0.02248.42598407145115.9434520404093
0.03260.63813312693917.5078833366656
0.04271.83258876342416.8694899696709
0.05281.55864547148716.2197553159788
0.06290.09322301141216.2142649460815
0.07297.8537643445816.3892052538876
0.08305.11396892527716.5526995396222
0.09312.04260243371716.9490656538933
0.1318.79280700977317.7703486907781
0.11325.49778862451618.8373943909543
0.12332.21228937859219.7200145396295
0.13338.88390177603120.0508021713085
0.14345.38759183661319.7386886835629
0.15351.59909009681318.9973635653567
0.16357.46176033905718.2211057697225
0.17363.015589449417.8106660511066
0.18368.38401918526418.0213427426761
0.19373.73414241245418.9055017994839
0.2379.23072070496420.3408758808046
0.21384.99865633888422.0999511368749
0.22391.10009193773823.9044201679528
0.23397.52655488173725.4775550017476
0.24404.20422240347626.5837427140532
0.25411.00963656602327.0668251302188
0.26417.79245063881826.8709037048433
0.27424.4008478770126.0456144197878
0.28430.70485811982824.7262624012917
0.29436.61349928049423.1054614702553
0.3442.08338834367121.3932513504664
0.31447.11854571081319.7849818326953
0.32451.76284527706118.434601341522
0.33456.08755848755417.4382907378164
0.34460.1767195725616.8222642071475
0.35464.11283547751416.5486103597046
0.36467.96500844340416.5262826630481
0.37471.7809478190416.6372681126368
0.38475.58364634627316.7607524789391
0.39479.37270895094416.7960939721125
0.4483.12953631142216.6791835949862
0.41486.82493008043116.3846399566159
0.42490.42735593668715.9269402953006
0.43493.91016495538615.35021282923
0.44497.2565153632314.7151390269293
0.45500.46142932598314.0839611835057
0.46503.53116796942713.5083127745405
0.47506.48071072006813.0215098098962
0.48509.33043532196712.6378914225754
0.49512.10305993080412.3571275821962
0.5514.82157704634312.1717666974748
0.51517.50840643588612.0761419340261
0.52520.18548162722212.0688996762816
0.53522.87461436770312.1536708782703
0.54525.59736205075612.334031746076
0.55528.37379504527112.6051002090778
0.56531.21998369620512.945166177601
0.57534.14457732589313.3124013624384
0.58537.14534923844613.6450792024259
0.59540.20684109863613.873412114397
0.6543.30012475328113.9328380698427
0.61546.38520262721213.7761098732431
0.62549.4158344927913.3853369408507
0.63552.3458661054112.7777542411578
0.64555.13571083472112.000658064673
0.65557.75765347819911.1227015654994
0.66560.19907201052410.2195021397582
0.67562.4633046943579.36483179835465
0.68564.5684638267398.61931231017302
0.69566.5448291465298.02920628391466
0.7568.4315178360037.62437915135938
0.71570.273027701637.41898394123705
0.72572.1161067023557.41014823452528
0.73574.0072507393867.58264814440837
0.74575.9909146499347.91608717127191
0.75578.1081889942328.38578444014331
0.76580.3953321177768.96888960389869
0.77582.8814017238139.63227832483718
0.78585.58458682950410.3274644150333
0.79588.50778868153510.9872778393493
0.8591.63524978284511.5309583254028
0.81594.93293441129411.8840589129935
0.82598.35518315787412.0068472786578
0.83601.85850141705411.9175793191156
0.84605.42049356519911.7118030701772
0.85609.05889762126111.5515168962999
0.86612.84359792938111.6293036039041
0.87616.89419014345512.1007331846148
0.88621.35744228856813.0045072358752
0.89626.36336162079914.20553525253
0.9631.9669412317615.3876482023344
0.91638.09571335664216.1202525022943
0.92644.53591858603316.0061607851654
0.93650.98756938956514.8937858466372
0.94657.18451905254413.040813298406
0.95663.01905387386611.0373900888507
0.96668.6034236285349.4073300609745
0.97674.3732105048528.25395436243045
0.98681.4853335047868.3432278504666
0.99691.25515877334813.0128951978026

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 236.956605052696 & 11.9000440561656 \tabularnewline
0.02 & 248.425984071451 & 15.9434520404093 \tabularnewline
0.03 & 260.638133126939 & 17.5078833366656 \tabularnewline
0.04 & 271.832588763424 & 16.8694899696709 \tabularnewline
0.05 & 281.558645471487 & 16.2197553159788 \tabularnewline
0.06 & 290.093223011412 & 16.2142649460815 \tabularnewline
0.07 & 297.85376434458 & 16.3892052538876 \tabularnewline
0.08 & 305.113968925277 & 16.5526995396222 \tabularnewline
0.09 & 312.042602433717 & 16.9490656538933 \tabularnewline
0.1 & 318.792807009773 & 17.7703486907781 \tabularnewline
0.11 & 325.497788624516 & 18.8373943909543 \tabularnewline
0.12 & 332.212289378592 & 19.7200145396295 \tabularnewline
0.13 & 338.883901776031 & 20.0508021713085 \tabularnewline
0.14 & 345.387591836613 & 19.7386886835629 \tabularnewline
0.15 & 351.599090096813 & 18.9973635653567 \tabularnewline
0.16 & 357.461760339057 & 18.2211057697225 \tabularnewline
0.17 & 363.0155894494 & 17.8106660511066 \tabularnewline
0.18 & 368.384019185264 & 18.0213427426761 \tabularnewline
0.19 & 373.734142412454 & 18.9055017994839 \tabularnewline
0.2 & 379.230720704964 & 20.3408758808046 \tabularnewline
0.21 & 384.998656338884 & 22.0999511368749 \tabularnewline
0.22 & 391.100091937738 & 23.9044201679528 \tabularnewline
0.23 & 397.526554881737 & 25.4775550017476 \tabularnewline
0.24 & 404.204222403476 & 26.5837427140532 \tabularnewline
0.25 & 411.009636566023 & 27.0668251302188 \tabularnewline
0.26 & 417.792450638818 & 26.8709037048433 \tabularnewline
0.27 & 424.40084787701 & 26.0456144197878 \tabularnewline
0.28 & 430.704858119828 & 24.7262624012917 \tabularnewline
0.29 & 436.613499280494 & 23.1054614702553 \tabularnewline
0.3 & 442.083388343671 & 21.3932513504664 \tabularnewline
0.31 & 447.118545710813 & 19.7849818326953 \tabularnewline
0.32 & 451.762845277061 & 18.434601341522 \tabularnewline
0.33 & 456.087558487554 & 17.4382907378164 \tabularnewline
0.34 & 460.17671957256 & 16.8222642071475 \tabularnewline
0.35 & 464.112835477514 & 16.5486103597046 \tabularnewline
0.36 & 467.965008443404 & 16.5262826630481 \tabularnewline
0.37 & 471.78094781904 & 16.6372681126368 \tabularnewline
0.38 & 475.583646346273 & 16.7607524789391 \tabularnewline
0.39 & 479.372708950944 & 16.7960939721125 \tabularnewline
0.4 & 483.129536311422 & 16.6791835949862 \tabularnewline
0.41 & 486.824930080431 & 16.3846399566159 \tabularnewline
0.42 & 490.427355936687 & 15.9269402953006 \tabularnewline
0.43 & 493.910164955386 & 15.35021282923 \tabularnewline
0.44 & 497.25651536323 & 14.7151390269293 \tabularnewline
0.45 & 500.461429325983 & 14.0839611835057 \tabularnewline
0.46 & 503.531167969427 & 13.5083127745405 \tabularnewline
0.47 & 506.480710720068 & 13.0215098098962 \tabularnewline
0.48 & 509.330435321967 & 12.6378914225754 \tabularnewline
0.49 & 512.103059930804 & 12.3571275821962 \tabularnewline
0.5 & 514.821577046343 & 12.1717666974748 \tabularnewline
0.51 & 517.508406435886 & 12.0761419340261 \tabularnewline
0.52 & 520.185481627222 & 12.0688996762816 \tabularnewline
0.53 & 522.874614367703 & 12.1536708782703 \tabularnewline
0.54 & 525.597362050756 & 12.334031746076 \tabularnewline
0.55 & 528.373795045271 & 12.6051002090778 \tabularnewline
0.56 & 531.219983696205 & 12.945166177601 \tabularnewline
0.57 & 534.144577325893 & 13.3124013624384 \tabularnewline
0.58 & 537.145349238446 & 13.6450792024259 \tabularnewline
0.59 & 540.206841098636 & 13.873412114397 \tabularnewline
0.6 & 543.300124753281 & 13.9328380698427 \tabularnewline
0.61 & 546.385202627212 & 13.7761098732431 \tabularnewline
0.62 & 549.41583449279 & 13.3853369408507 \tabularnewline
0.63 & 552.34586610541 & 12.7777542411578 \tabularnewline
0.64 & 555.135710834721 & 12.000658064673 \tabularnewline
0.65 & 557.757653478199 & 11.1227015654994 \tabularnewline
0.66 & 560.199072010524 & 10.2195021397582 \tabularnewline
0.67 & 562.463304694357 & 9.36483179835465 \tabularnewline
0.68 & 564.568463826739 & 8.61931231017302 \tabularnewline
0.69 & 566.544829146529 & 8.02920628391466 \tabularnewline
0.7 & 568.431517836003 & 7.62437915135938 \tabularnewline
0.71 & 570.27302770163 & 7.41898394123705 \tabularnewline
0.72 & 572.116106702355 & 7.41014823452528 \tabularnewline
0.73 & 574.007250739386 & 7.58264814440837 \tabularnewline
0.74 & 575.990914649934 & 7.91608717127191 \tabularnewline
0.75 & 578.108188994232 & 8.38578444014331 \tabularnewline
0.76 & 580.395332117776 & 8.96888960389869 \tabularnewline
0.77 & 582.881401723813 & 9.63227832483718 \tabularnewline
0.78 & 585.584586829504 & 10.3274644150333 \tabularnewline
0.79 & 588.507788681535 & 10.9872778393493 \tabularnewline
0.8 & 591.635249782845 & 11.5309583254028 \tabularnewline
0.81 & 594.932934411294 & 11.8840589129935 \tabularnewline
0.82 & 598.355183157874 & 12.0068472786578 \tabularnewline
0.83 & 601.858501417054 & 11.9175793191156 \tabularnewline
0.84 & 605.420493565199 & 11.7118030701772 \tabularnewline
0.85 & 609.058897621261 & 11.5515168962999 \tabularnewline
0.86 & 612.843597929381 & 11.6293036039041 \tabularnewline
0.87 & 616.894190143455 & 12.1007331846148 \tabularnewline
0.88 & 621.357442288568 & 13.0045072358752 \tabularnewline
0.89 & 626.363361620799 & 14.20553525253 \tabularnewline
0.9 & 631.96694123176 & 15.3876482023344 \tabularnewline
0.91 & 638.095713356642 & 16.1202525022943 \tabularnewline
0.92 & 644.535918586033 & 16.0061607851654 \tabularnewline
0.93 & 650.987569389565 & 14.8937858466372 \tabularnewline
0.94 & 657.184519052544 & 13.040813298406 \tabularnewline
0.95 & 663.019053873866 & 11.0373900888507 \tabularnewline
0.96 & 668.603423628534 & 9.4073300609745 \tabularnewline
0.97 & 674.373210504852 & 8.25395436243045 \tabularnewline
0.98 & 681.485333504786 & 8.3432278504666 \tabularnewline
0.99 & 691.255158773348 & 13.0128951978026 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123883&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]236.956605052696[/C][C]11.9000440561656[/C][/ROW]
[ROW][C]0.02[/C][C]248.425984071451[/C][C]15.9434520404093[/C][/ROW]
[ROW][C]0.03[/C][C]260.638133126939[/C][C]17.5078833366656[/C][/ROW]
[ROW][C]0.04[/C][C]271.832588763424[/C][C]16.8694899696709[/C][/ROW]
[ROW][C]0.05[/C][C]281.558645471487[/C][C]16.2197553159788[/C][/ROW]
[ROW][C]0.06[/C][C]290.093223011412[/C][C]16.2142649460815[/C][/ROW]
[ROW][C]0.07[/C][C]297.85376434458[/C][C]16.3892052538876[/C][/ROW]
[ROW][C]0.08[/C][C]305.113968925277[/C][C]16.5526995396222[/C][/ROW]
[ROW][C]0.09[/C][C]312.042602433717[/C][C]16.9490656538933[/C][/ROW]
[ROW][C]0.1[/C][C]318.792807009773[/C][C]17.7703486907781[/C][/ROW]
[ROW][C]0.11[/C][C]325.497788624516[/C][C]18.8373943909543[/C][/ROW]
[ROW][C]0.12[/C][C]332.212289378592[/C][C]19.7200145396295[/C][/ROW]
[ROW][C]0.13[/C][C]338.883901776031[/C][C]20.0508021713085[/C][/ROW]
[ROW][C]0.14[/C][C]345.387591836613[/C][C]19.7386886835629[/C][/ROW]
[ROW][C]0.15[/C][C]351.599090096813[/C][C]18.9973635653567[/C][/ROW]
[ROW][C]0.16[/C][C]357.461760339057[/C][C]18.2211057697225[/C][/ROW]
[ROW][C]0.17[/C][C]363.0155894494[/C][C]17.8106660511066[/C][/ROW]
[ROW][C]0.18[/C][C]368.384019185264[/C][C]18.0213427426761[/C][/ROW]
[ROW][C]0.19[/C][C]373.734142412454[/C][C]18.9055017994839[/C][/ROW]
[ROW][C]0.2[/C][C]379.230720704964[/C][C]20.3408758808046[/C][/ROW]
[ROW][C]0.21[/C][C]384.998656338884[/C][C]22.0999511368749[/C][/ROW]
[ROW][C]0.22[/C][C]391.100091937738[/C][C]23.9044201679528[/C][/ROW]
[ROW][C]0.23[/C][C]397.526554881737[/C][C]25.4775550017476[/C][/ROW]
[ROW][C]0.24[/C][C]404.204222403476[/C][C]26.5837427140532[/C][/ROW]
[ROW][C]0.25[/C][C]411.009636566023[/C][C]27.0668251302188[/C][/ROW]
[ROW][C]0.26[/C][C]417.792450638818[/C][C]26.8709037048433[/C][/ROW]
[ROW][C]0.27[/C][C]424.40084787701[/C][C]26.0456144197878[/C][/ROW]
[ROW][C]0.28[/C][C]430.704858119828[/C][C]24.7262624012917[/C][/ROW]
[ROW][C]0.29[/C][C]436.613499280494[/C][C]23.1054614702553[/C][/ROW]
[ROW][C]0.3[/C][C]442.083388343671[/C][C]21.3932513504664[/C][/ROW]
[ROW][C]0.31[/C][C]447.118545710813[/C][C]19.7849818326953[/C][/ROW]
[ROW][C]0.32[/C][C]451.762845277061[/C][C]18.434601341522[/C][/ROW]
[ROW][C]0.33[/C][C]456.087558487554[/C][C]17.4382907378164[/C][/ROW]
[ROW][C]0.34[/C][C]460.17671957256[/C][C]16.8222642071475[/C][/ROW]
[ROW][C]0.35[/C][C]464.112835477514[/C][C]16.5486103597046[/C][/ROW]
[ROW][C]0.36[/C][C]467.965008443404[/C][C]16.5262826630481[/C][/ROW]
[ROW][C]0.37[/C][C]471.78094781904[/C][C]16.6372681126368[/C][/ROW]
[ROW][C]0.38[/C][C]475.583646346273[/C][C]16.7607524789391[/C][/ROW]
[ROW][C]0.39[/C][C]479.372708950944[/C][C]16.7960939721125[/C][/ROW]
[ROW][C]0.4[/C][C]483.129536311422[/C][C]16.6791835949862[/C][/ROW]
[ROW][C]0.41[/C][C]486.824930080431[/C][C]16.3846399566159[/C][/ROW]
[ROW][C]0.42[/C][C]490.427355936687[/C][C]15.9269402953006[/C][/ROW]
[ROW][C]0.43[/C][C]493.910164955386[/C][C]15.35021282923[/C][/ROW]
[ROW][C]0.44[/C][C]497.25651536323[/C][C]14.7151390269293[/C][/ROW]
[ROW][C]0.45[/C][C]500.461429325983[/C][C]14.0839611835057[/C][/ROW]
[ROW][C]0.46[/C][C]503.531167969427[/C][C]13.5083127745405[/C][/ROW]
[ROW][C]0.47[/C][C]506.480710720068[/C][C]13.0215098098962[/C][/ROW]
[ROW][C]0.48[/C][C]509.330435321967[/C][C]12.6378914225754[/C][/ROW]
[ROW][C]0.49[/C][C]512.103059930804[/C][C]12.3571275821962[/C][/ROW]
[ROW][C]0.5[/C][C]514.821577046343[/C][C]12.1717666974748[/C][/ROW]
[ROW][C]0.51[/C][C]517.508406435886[/C][C]12.0761419340261[/C][/ROW]
[ROW][C]0.52[/C][C]520.185481627222[/C][C]12.0688996762816[/C][/ROW]
[ROW][C]0.53[/C][C]522.874614367703[/C][C]12.1536708782703[/C][/ROW]
[ROW][C]0.54[/C][C]525.597362050756[/C][C]12.334031746076[/C][/ROW]
[ROW][C]0.55[/C][C]528.373795045271[/C][C]12.6051002090778[/C][/ROW]
[ROW][C]0.56[/C][C]531.219983696205[/C][C]12.945166177601[/C][/ROW]
[ROW][C]0.57[/C][C]534.144577325893[/C][C]13.3124013624384[/C][/ROW]
[ROW][C]0.58[/C][C]537.145349238446[/C][C]13.6450792024259[/C][/ROW]
[ROW][C]0.59[/C][C]540.206841098636[/C][C]13.873412114397[/C][/ROW]
[ROW][C]0.6[/C][C]543.300124753281[/C][C]13.9328380698427[/C][/ROW]
[ROW][C]0.61[/C][C]546.385202627212[/C][C]13.7761098732431[/C][/ROW]
[ROW][C]0.62[/C][C]549.41583449279[/C][C]13.3853369408507[/C][/ROW]
[ROW][C]0.63[/C][C]552.34586610541[/C][C]12.7777542411578[/C][/ROW]
[ROW][C]0.64[/C][C]555.135710834721[/C][C]12.000658064673[/C][/ROW]
[ROW][C]0.65[/C][C]557.757653478199[/C][C]11.1227015654994[/C][/ROW]
[ROW][C]0.66[/C][C]560.199072010524[/C][C]10.2195021397582[/C][/ROW]
[ROW][C]0.67[/C][C]562.463304694357[/C][C]9.36483179835465[/C][/ROW]
[ROW][C]0.68[/C][C]564.568463826739[/C][C]8.61931231017302[/C][/ROW]
[ROW][C]0.69[/C][C]566.544829146529[/C][C]8.02920628391466[/C][/ROW]
[ROW][C]0.7[/C][C]568.431517836003[/C][C]7.62437915135938[/C][/ROW]
[ROW][C]0.71[/C][C]570.27302770163[/C][C]7.41898394123705[/C][/ROW]
[ROW][C]0.72[/C][C]572.116106702355[/C][C]7.41014823452528[/C][/ROW]
[ROW][C]0.73[/C][C]574.007250739386[/C][C]7.58264814440837[/C][/ROW]
[ROW][C]0.74[/C][C]575.990914649934[/C][C]7.91608717127191[/C][/ROW]
[ROW][C]0.75[/C][C]578.108188994232[/C][C]8.38578444014331[/C][/ROW]
[ROW][C]0.76[/C][C]580.395332117776[/C][C]8.96888960389869[/C][/ROW]
[ROW][C]0.77[/C][C]582.881401723813[/C][C]9.63227832483718[/C][/ROW]
[ROW][C]0.78[/C][C]585.584586829504[/C][C]10.3274644150333[/C][/ROW]
[ROW][C]0.79[/C][C]588.507788681535[/C][C]10.9872778393493[/C][/ROW]
[ROW][C]0.8[/C][C]591.635249782845[/C][C]11.5309583254028[/C][/ROW]
[ROW][C]0.81[/C][C]594.932934411294[/C][C]11.8840589129935[/C][/ROW]
[ROW][C]0.82[/C][C]598.355183157874[/C][C]12.0068472786578[/C][/ROW]
[ROW][C]0.83[/C][C]601.858501417054[/C][C]11.9175793191156[/C][/ROW]
[ROW][C]0.84[/C][C]605.420493565199[/C][C]11.7118030701772[/C][/ROW]
[ROW][C]0.85[/C][C]609.058897621261[/C][C]11.5515168962999[/C][/ROW]
[ROW][C]0.86[/C][C]612.843597929381[/C][C]11.6293036039041[/C][/ROW]
[ROW][C]0.87[/C][C]616.894190143455[/C][C]12.1007331846148[/C][/ROW]
[ROW][C]0.88[/C][C]621.357442288568[/C][C]13.0045072358752[/C][/ROW]
[ROW][C]0.89[/C][C]626.363361620799[/C][C]14.20553525253[/C][/ROW]
[ROW][C]0.9[/C][C]631.96694123176[/C][C]15.3876482023344[/C][/ROW]
[ROW][C]0.91[/C][C]638.095713356642[/C][C]16.1202525022943[/C][/ROW]
[ROW][C]0.92[/C][C]644.535918586033[/C][C]16.0061607851654[/C][/ROW]
[ROW][C]0.93[/C][C]650.987569389565[/C][C]14.8937858466372[/C][/ROW]
[ROW][C]0.94[/C][C]657.184519052544[/C][C]13.040813298406[/C][/ROW]
[ROW][C]0.95[/C][C]663.019053873866[/C][C]11.0373900888507[/C][/ROW]
[ROW][C]0.96[/C][C]668.603423628534[/C][C]9.4073300609745[/C][/ROW]
[ROW][C]0.97[/C][C]674.373210504852[/C][C]8.25395436243045[/C][/ROW]
[ROW][C]0.98[/C][C]681.485333504786[/C][C]8.3432278504666[/C][/ROW]
[ROW][C]0.99[/C][C]691.255158773348[/C][C]13.0128951978026[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123883&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123883&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
0.01236.95660505269611.9000440561656
0.02248.42598407145115.9434520404093
0.03260.63813312693917.5078833366656
0.04271.83258876342416.8694899696709
0.05281.55864547148716.2197553159788
0.06290.09322301141216.2142649460815
0.07297.8537643445816.3892052538876
0.08305.11396892527716.5526995396222
0.09312.04260243371716.9490656538933
0.1318.79280700977317.7703486907781
0.11325.49778862451618.8373943909543
0.12332.21228937859219.7200145396295
0.13338.88390177603120.0508021713085
0.14345.38759183661319.7386886835629
0.15351.59909009681318.9973635653567
0.16357.46176033905718.2211057697225
0.17363.015589449417.8106660511066
0.18368.38401918526418.0213427426761
0.19373.73414241245418.9055017994839
0.2379.23072070496420.3408758808046
0.21384.99865633888422.0999511368749
0.22391.10009193773823.9044201679528
0.23397.52655488173725.4775550017476
0.24404.20422240347626.5837427140532
0.25411.00963656602327.0668251302188
0.26417.79245063881826.8709037048433
0.27424.4008478770126.0456144197878
0.28430.70485811982824.7262624012917
0.29436.61349928049423.1054614702553
0.3442.08338834367121.3932513504664
0.31447.11854571081319.7849818326953
0.32451.76284527706118.434601341522
0.33456.08755848755417.4382907378164
0.34460.1767195725616.8222642071475
0.35464.11283547751416.5486103597046
0.36467.96500844340416.5262826630481
0.37471.7809478190416.6372681126368
0.38475.58364634627316.7607524789391
0.39479.37270895094416.7960939721125
0.4483.12953631142216.6791835949862
0.41486.82493008043116.3846399566159
0.42490.42735593668715.9269402953006
0.43493.91016495538615.35021282923
0.44497.2565153632314.7151390269293
0.45500.46142932598314.0839611835057
0.46503.53116796942713.5083127745405
0.47506.48071072006813.0215098098962
0.48509.33043532196712.6378914225754
0.49512.10305993080412.3571275821962
0.5514.82157704634312.1717666974748
0.51517.50840643588612.0761419340261
0.52520.18548162722212.0688996762816
0.53522.87461436770312.1536708782703
0.54525.59736205075612.334031746076
0.55528.37379504527112.6051002090778
0.56531.21998369620512.945166177601
0.57534.14457732589313.3124013624384
0.58537.14534923844613.6450792024259
0.59540.20684109863613.873412114397
0.6543.30012475328113.9328380698427
0.61546.38520262721213.7761098732431
0.62549.4158344927913.3853369408507
0.63552.3458661054112.7777542411578
0.64555.13571083472112.000658064673
0.65557.75765347819911.1227015654994
0.66560.19907201052410.2195021397582
0.67562.4633046943579.36483179835465
0.68564.5684638267398.61931231017302
0.69566.5448291465298.02920628391466
0.7568.4315178360037.62437915135938
0.71570.273027701637.41898394123705
0.72572.1161067023557.41014823452528
0.73574.0072507393867.58264814440837
0.74575.9909146499347.91608717127191
0.75578.1081889942328.38578444014331
0.76580.3953321177768.96888960389869
0.77582.8814017238139.63227832483718
0.78585.58458682950410.3274644150333
0.79588.50778868153510.9872778393493
0.8591.63524978284511.5309583254028
0.81594.93293441129411.8840589129935
0.82598.35518315787412.0068472786578
0.83601.85850141705411.9175793191156
0.84605.42049356519911.7118030701772
0.85609.05889762126111.5515168962999
0.86612.84359792938111.6293036039041
0.87616.89419014345512.1007331846148
0.88621.35744228856813.0045072358752
0.89626.36336162079914.20553525253
0.9631.9669412317615.3876482023344
0.91638.09571335664216.1202525022943
0.92644.53591858603316.0061607851654
0.93650.98756938956514.8937858466372
0.94657.18451905254413.040813298406
0.95663.01905387386611.0373900888507
0.96668.6034236285349.4073300609745
0.97674.3732105048528.25395436243045
0.98681.4853335047868.3432278504666
0.99691.25515877334813.0128951978026


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')