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 computationSun, 02 Mar 2008 11:52:16 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/02/t1204484108yz131k7g0lx26y3.htm/, Retrieved Mon, 06 May 2024 22:32:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9654, Retrieved Mon, 06 May 2024 22:32:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172

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] [Quantielen Gemidd...] [2008-03-02 18:52:16] [bd1a672bbeeae91e7f15e9efb6f60992] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
47,87
47,87
47,89
47,88
47,91
47,92
47,92
47,91
47,93
48,05
48,03
48,04
48,04
48,06
48,04
48,09
48,12
48,16
48,16
48,16
48,08
48,13
48,16
48,15
48,15
48,15
48,27
48,47
48,51
48,53
48,53
48,53
48,68
48,64
48,67
48,66
48,66
48,67
48,71
48,96
49,01
49,04
49,04
49,04
49,06
49,13
49,19
49,26
49,26
49,26
49,29
49,43
49,43
49,45
49,45
49,46
49,57
49,68
49,71
49,7
49,7
49,8
49,84
50,09
50,2
50,16
50,16
50,29
50,36
51,02
51,03
51,04

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9654&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9654&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9654&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0147.87122201163970.00364399199107449
0.0247.87433798815760.00858087271392178
0.0347.87937578911240.0129311889287858
0.0447.8858627228720.0161653502822999
0.0547.89326160868380.0186985776707366
0.0647.9012732104070.021474677786446
0.0747.90991440411440.0255240717636126
0.0847.91942449900480.0311919910194641
0.0947.93008648189570.0379844731173477
0.147.94204961382550.0447269901246095
0.1147.9552220717220.0502494498331631
0.1247.96926576551550.0536510682130792
0.1347.98368153105210.0545853764317483
0.1447.99794060233880.053317860782262
0.1548.01160939948910.0506222392599373
0.1648.02442798220060.0474265822749932
0.1748.03632740785730.0445479014773012
0.1848.04739512739810.0425560606294273
0.1948.05781191014790.0416484930485889
0.248.067786362790.0416241830011141
0.2148.07750672774980.0421615205064485
0.2248.08711930806760.0430164549810641
0.2348.09673303817530.0440014937772888
0.2448.10644295422980.0453019882643435
0.2548.11636220606650.0471217604510388
0.2648.12665215550360.0499500312410197
0.2748.1375419838010.0544062510360327
0.2848.1493321844020.0609206945998802
0.2948.16237974446480.069735578778588
0.348.17706632529990.0808529433761961
0.3148.19375398505050.0939460953128883
0.3248.21273553767560.108311271517510
0.3348.23418806657890.123144365471921
0.3448.25813805186590.137547284839416
0.3548.2844449104590.150457420470511
0.3648.3128067179510.160990889646118
0.3748.3427880551290.168619841771927
0.3848.37386609686290.172911259509647
0.3948.40548804320720.174023349339807
0.448.43713137466510.172295013527181
0.4148.46835841789680.168301084853686
0.4248.49885815470920.163004910077881
0.4348.52847061252290.157246794269428
0.4448.55719193623550.152044885527905
0.4548.58516083151490.148202047153403
0.4648.61262916273460.146300304672221
0.4748.63992098483820.146686977201491
0.4848.66738523802170.149365368148559
0.4948.69534781821550.153873502035520
0.548.7240687669550.159776582062384
0.5148.75370981785540.166146427611768
0.5248.78431637376760.17226049017642
0.5348.81581612606490.177299153658544
0.5448.84803410737950.180772884707482
0.5548.88072135879010.182300333455151
0.5648.91359212512260.181808057144718
0.5748.94636311826730.179537739380340
0.5848.97878829160260.175840212112417
0.5949.01068381741220.171238809873307
0.649.04194025998470.16630364886872
0.6149.07252171161110.1614391832297
0.6249.10245422136270.156962678064546
0.6349.13180761565560.153151832791587
0.6449.16067547184690.149909707650240
0.6549.18915757449640.147244488195658
0.6649.21734793627710.144947139747133
0.6749.24532980312630.143024439771602
0.6849.27317736361910.141293011028192
0.6949.30096241714730.139781614731541
0.749.32876320169920.138491354677999
0.7149.35667209847640.137594005195635
0.7249.38479921567050.137111368798550
0.7349.41327010419190.137272240860285
0.7449.44221809759210.137986315006466
0.7549.47177461012040.139281639894651
0.7649.50206322363340.140986263416864
0.7749.53320415315660.142859266025075
0.7849.56533334521890.144863305880723
0.7949.59863448791260.147061630993676
0.849.63337365645480.14995288660763
0.8149.66991822482060.154111513725713
0.8249.70871861087730.160138564099159
0.8349.75023799626670.16821229962708
0.8449.79483373846230.177699011516525
0.8549.84262260092120.187152450884329
0.8649.89339232509370.194563073448502
0.8749.9466419290990.198007898104925
0.8850.00182810457720.196628263495699
0.8950.05885166142290.191495811312287
0.950.118723383940.186446286123619
0.9150.18419165064390.188460754496875
0.9250.25990298214310.205915481848152
0.9350.35148732038790.242915673435679
0.9450.46305801940570.292373292991671
0.9550.59337005537010.333594063344592
0.9650.73242274709220.337383563559129
0.9750.86177190369190.282131869793661
0.9850.96109495524050.176500391978488
0.9951.01896774021430.0669390103158896

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 47.8712220116397 & 0.00364399199107449 \tabularnewline
0.02 & 47.8743379881576 & 0.00858087271392178 \tabularnewline
0.03 & 47.8793757891124 & 0.0129311889287858 \tabularnewline
0.04 & 47.885862722872 & 0.0161653502822999 \tabularnewline
0.05 & 47.8932616086838 & 0.0186985776707366 \tabularnewline
0.06 & 47.901273210407 & 0.021474677786446 \tabularnewline
0.07 & 47.9099144041144 & 0.0255240717636126 \tabularnewline
0.08 & 47.9194244990048 & 0.0311919910194641 \tabularnewline
0.09 & 47.9300864818957 & 0.0379844731173477 \tabularnewline
0.1 & 47.9420496138255 & 0.0447269901246095 \tabularnewline
0.11 & 47.955222071722 & 0.0502494498331631 \tabularnewline
0.12 & 47.9692657655155 & 0.0536510682130792 \tabularnewline
0.13 & 47.9836815310521 & 0.0545853764317483 \tabularnewline
0.14 & 47.9979406023388 & 0.053317860782262 \tabularnewline
0.15 & 48.0116093994891 & 0.0506222392599373 \tabularnewline
0.16 & 48.0244279822006 & 0.0474265822749932 \tabularnewline
0.17 & 48.0363274078573 & 0.0445479014773012 \tabularnewline
0.18 & 48.0473951273981 & 0.0425560606294273 \tabularnewline
0.19 & 48.0578119101479 & 0.0416484930485889 \tabularnewline
0.2 & 48.06778636279 & 0.0416241830011141 \tabularnewline
0.21 & 48.0775067277498 & 0.0421615205064485 \tabularnewline
0.22 & 48.0871193080676 & 0.0430164549810641 \tabularnewline
0.23 & 48.0967330381753 & 0.0440014937772888 \tabularnewline
0.24 & 48.1064429542298 & 0.0453019882643435 \tabularnewline
0.25 & 48.1163622060665 & 0.0471217604510388 \tabularnewline
0.26 & 48.1266521555036 & 0.0499500312410197 \tabularnewline
0.27 & 48.137541983801 & 0.0544062510360327 \tabularnewline
0.28 & 48.149332184402 & 0.0609206945998802 \tabularnewline
0.29 & 48.1623797444648 & 0.069735578778588 \tabularnewline
0.3 & 48.1770663252999 & 0.0808529433761961 \tabularnewline
0.31 & 48.1937539850505 & 0.0939460953128883 \tabularnewline
0.32 & 48.2127355376756 & 0.108311271517510 \tabularnewline
0.33 & 48.2341880665789 & 0.123144365471921 \tabularnewline
0.34 & 48.2581380518659 & 0.137547284839416 \tabularnewline
0.35 & 48.284444910459 & 0.150457420470511 \tabularnewline
0.36 & 48.312806717951 & 0.160990889646118 \tabularnewline
0.37 & 48.342788055129 & 0.168619841771927 \tabularnewline
0.38 & 48.3738660968629 & 0.172911259509647 \tabularnewline
0.39 & 48.4054880432072 & 0.174023349339807 \tabularnewline
0.4 & 48.4371313746651 & 0.172295013527181 \tabularnewline
0.41 & 48.4683584178968 & 0.168301084853686 \tabularnewline
0.42 & 48.4988581547092 & 0.163004910077881 \tabularnewline
0.43 & 48.5284706125229 & 0.157246794269428 \tabularnewline
0.44 & 48.5571919362355 & 0.152044885527905 \tabularnewline
0.45 & 48.5851608315149 & 0.148202047153403 \tabularnewline
0.46 & 48.6126291627346 & 0.146300304672221 \tabularnewline
0.47 & 48.6399209848382 & 0.146686977201491 \tabularnewline
0.48 & 48.6673852380217 & 0.149365368148559 \tabularnewline
0.49 & 48.6953478182155 & 0.153873502035520 \tabularnewline
0.5 & 48.724068766955 & 0.159776582062384 \tabularnewline
0.51 & 48.7537098178554 & 0.166146427611768 \tabularnewline
0.52 & 48.7843163737676 & 0.17226049017642 \tabularnewline
0.53 & 48.8158161260649 & 0.177299153658544 \tabularnewline
0.54 & 48.8480341073795 & 0.180772884707482 \tabularnewline
0.55 & 48.8807213587901 & 0.182300333455151 \tabularnewline
0.56 & 48.9135921251226 & 0.181808057144718 \tabularnewline
0.57 & 48.9463631182673 & 0.179537739380340 \tabularnewline
0.58 & 48.9787882916026 & 0.175840212112417 \tabularnewline
0.59 & 49.0106838174122 & 0.171238809873307 \tabularnewline
0.6 & 49.0419402599847 & 0.16630364886872 \tabularnewline
0.61 & 49.0725217116111 & 0.1614391832297 \tabularnewline
0.62 & 49.1024542213627 & 0.156962678064546 \tabularnewline
0.63 & 49.1318076156556 & 0.153151832791587 \tabularnewline
0.64 & 49.1606754718469 & 0.149909707650240 \tabularnewline
0.65 & 49.1891575744964 & 0.147244488195658 \tabularnewline
0.66 & 49.2173479362771 & 0.144947139747133 \tabularnewline
0.67 & 49.2453298031263 & 0.143024439771602 \tabularnewline
0.68 & 49.2731773636191 & 0.141293011028192 \tabularnewline
0.69 & 49.3009624171473 & 0.139781614731541 \tabularnewline
0.7 & 49.3287632016992 & 0.138491354677999 \tabularnewline
0.71 & 49.3566720984764 & 0.137594005195635 \tabularnewline
0.72 & 49.3847992156705 & 0.137111368798550 \tabularnewline
0.73 & 49.4132701041919 & 0.137272240860285 \tabularnewline
0.74 & 49.4422180975921 & 0.137986315006466 \tabularnewline
0.75 & 49.4717746101204 & 0.139281639894651 \tabularnewline
0.76 & 49.5020632236334 & 0.140986263416864 \tabularnewline
0.77 & 49.5332041531566 & 0.142859266025075 \tabularnewline
0.78 & 49.5653333452189 & 0.144863305880723 \tabularnewline
0.79 & 49.5986344879126 & 0.147061630993676 \tabularnewline
0.8 & 49.6333736564548 & 0.14995288660763 \tabularnewline
0.81 & 49.6699182248206 & 0.154111513725713 \tabularnewline
0.82 & 49.7087186108773 & 0.160138564099159 \tabularnewline
0.83 & 49.7502379962667 & 0.16821229962708 \tabularnewline
0.84 & 49.7948337384623 & 0.177699011516525 \tabularnewline
0.85 & 49.8426226009212 & 0.187152450884329 \tabularnewline
0.86 & 49.8933923250937 & 0.194563073448502 \tabularnewline
0.87 & 49.946641929099 & 0.198007898104925 \tabularnewline
0.88 & 50.0018281045772 & 0.196628263495699 \tabularnewline
0.89 & 50.0588516614229 & 0.191495811312287 \tabularnewline
0.9 & 50.11872338394 & 0.186446286123619 \tabularnewline
0.91 & 50.1841916506439 & 0.188460754496875 \tabularnewline
0.92 & 50.2599029821431 & 0.205915481848152 \tabularnewline
0.93 & 50.3514873203879 & 0.242915673435679 \tabularnewline
0.94 & 50.4630580194057 & 0.292373292991671 \tabularnewline
0.95 & 50.5933700553701 & 0.333594063344592 \tabularnewline
0.96 & 50.7324227470922 & 0.337383563559129 \tabularnewline
0.97 & 50.8617719036919 & 0.282131869793661 \tabularnewline
0.98 & 50.9610949552405 & 0.176500391978488 \tabularnewline
0.99 & 51.0189677402143 & 0.0669390103158896 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9654&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]47.8712220116397[/C][C]0.00364399199107449[/C][/ROW]
[ROW][C]0.02[/C][C]47.8743379881576[/C][C]0.00858087271392178[/C][/ROW]
[ROW][C]0.03[/C][C]47.8793757891124[/C][C]0.0129311889287858[/C][/ROW]
[ROW][C]0.04[/C][C]47.885862722872[/C][C]0.0161653502822999[/C][/ROW]
[ROW][C]0.05[/C][C]47.8932616086838[/C][C]0.0186985776707366[/C][/ROW]
[ROW][C]0.06[/C][C]47.901273210407[/C][C]0.021474677786446[/C][/ROW]
[ROW][C]0.07[/C][C]47.9099144041144[/C][C]0.0255240717636126[/C][/ROW]
[ROW][C]0.08[/C][C]47.9194244990048[/C][C]0.0311919910194641[/C][/ROW]
[ROW][C]0.09[/C][C]47.9300864818957[/C][C]0.0379844731173477[/C][/ROW]
[ROW][C]0.1[/C][C]47.9420496138255[/C][C]0.0447269901246095[/C][/ROW]
[ROW][C]0.11[/C][C]47.955222071722[/C][C]0.0502494498331631[/C][/ROW]
[ROW][C]0.12[/C][C]47.9692657655155[/C][C]0.0536510682130792[/C][/ROW]
[ROW][C]0.13[/C][C]47.9836815310521[/C][C]0.0545853764317483[/C][/ROW]
[ROW][C]0.14[/C][C]47.9979406023388[/C][C]0.053317860782262[/C][/ROW]
[ROW][C]0.15[/C][C]48.0116093994891[/C][C]0.0506222392599373[/C][/ROW]
[ROW][C]0.16[/C][C]48.0244279822006[/C][C]0.0474265822749932[/C][/ROW]
[ROW][C]0.17[/C][C]48.0363274078573[/C][C]0.0445479014773012[/C][/ROW]
[ROW][C]0.18[/C][C]48.0473951273981[/C][C]0.0425560606294273[/C][/ROW]
[ROW][C]0.19[/C][C]48.0578119101479[/C][C]0.0416484930485889[/C][/ROW]
[ROW][C]0.2[/C][C]48.06778636279[/C][C]0.0416241830011141[/C][/ROW]
[ROW][C]0.21[/C][C]48.0775067277498[/C][C]0.0421615205064485[/C][/ROW]
[ROW][C]0.22[/C][C]48.0871193080676[/C][C]0.0430164549810641[/C][/ROW]
[ROW][C]0.23[/C][C]48.0967330381753[/C][C]0.0440014937772888[/C][/ROW]
[ROW][C]0.24[/C][C]48.1064429542298[/C][C]0.0453019882643435[/C][/ROW]
[ROW][C]0.25[/C][C]48.1163622060665[/C][C]0.0471217604510388[/C][/ROW]
[ROW][C]0.26[/C][C]48.1266521555036[/C][C]0.0499500312410197[/C][/ROW]
[ROW][C]0.27[/C][C]48.137541983801[/C][C]0.0544062510360327[/C][/ROW]
[ROW][C]0.28[/C][C]48.149332184402[/C][C]0.0609206945998802[/C][/ROW]
[ROW][C]0.29[/C][C]48.1623797444648[/C][C]0.069735578778588[/C][/ROW]
[ROW][C]0.3[/C][C]48.1770663252999[/C][C]0.0808529433761961[/C][/ROW]
[ROW][C]0.31[/C][C]48.1937539850505[/C][C]0.0939460953128883[/C][/ROW]
[ROW][C]0.32[/C][C]48.2127355376756[/C][C]0.108311271517510[/C][/ROW]
[ROW][C]0.33[/C][C]48.2341880665789[/C][C]0.123144365471921[/C][/ROW]
[ROW][C]0.34[/C][C]48.2581380518659[/C][C]0.137547284839416[/C][/ROW]
[ROW][C]0.35[/C][C]48.284444910459[/C][C]0.150457420470511[/C][/ROW]
[ROW][C]0.36[/C][C]48.312806717951[/C][C]0.160990889646118[/C][/ROW]
[ROW][C]0.37[/C][C]48.342788055129[/C][C]0.168619841771927[/C][/ROW]
[ROW][C]0.38[/C][C]48.3738660968629[/C][C]0.172911259509647[/C][/ROW]
[ROW][C]0.39[/C][C]48.4054880432072[/C][C]0.174023349339807[/C][/ROW]
[ROW][C]0.4[/C][C]48.4371313746651[/C][C]0.172295013527181[/C][/ROW]
[ROW][C]0.41[/C][C]48.4683584178968[/C][C]0.168301084853686[/C][/ROW]
[ROW][C]0.42[/C][C]48.4988581547092[/C][C]0.163004910077881[/C][/ROW]
[ROW][C]0.43[/C][C]48.5284706125229[/C][C]0.157246794269428[/C][/ROW]
[ROW][C]0.44[/C][C]48.5571919362355[/C][C]0.152044885527905[/C][/ROW]
[ROW][C]0.45[/C][C]48.5851608315149[/C][C]0.148202047153403[/C][/ROW]
[ROW][C]0.46[/C][C]48.6126291627346[/C][C]0.146300304672221[/C][/ROW]
[ROW][C]0.47[/C][C]48.6399209848382[/C][C]0.146686977201491[/C][/ROW]
[ROW][C]0.48[/C][C]48.6673852380217[/C][C]0.149365368148559[/C][/ROW]
[ROW][C]0.49[/C][C]48.6953478182155[/C][C]0.153873502035520[/C][/ROW]
[ROW][C]0.5[/C][C]48.724068766955[/C][C]0.159776582062384[/C][/ROW]
[ROW][C]0.51[/C][C]48.7537098178554[/C][C]0.166146427611768[/C][/ROW]
[ROW][C]0.52[/C][C]48.7843163737676[/C][C]0.17226049017642[/C][/ROW]
[ROW][C]0.53[/C][C]48.8158161260649[/C][C]0.177299153658544[/C][/ROW]
[ROW][C]0.54[/C][C]48.8480341073795[/C][C]0.180772884707482[/C][/ROW]
[ROW][C]0.55[/C][C]48.8807213587901[/C][C]0.182300333455151[/C][/ROW]
[ROW][C]0.56[/C][C]48.9135921251226[/C][C]0.181808057144718[/C][/ROW]
[ROW][C]0.57[/C][C]48.9463631182673[/C][C]0.179537739380340[/C][/ROW]
[ROW][C]0.58[/C][C]48.9787882916026[/C][C]0.175840212112417[/C][/ROW]
[ROW][C]0.59[/C][C]49.0106838174122[/C][C]0.171238809873307[/C][/ROW]
[ROW][C]0.6[/C][C]49.0419402599847[/C][C]0.16630364886872[/C][/ROW]
[ROW][C]0.61[/C][C]49.0725217116111[/C][C]0.1614391832297[/C][/ROW]
[ROW][C]0.62[/C][C]49.1024542213627[/C][C]0.156962678064546[/C][/ROW]
[ROW][C]0.63[/C][C]49.1318076156556[/C][C]0.153151832791587[/C][/ROW]
[ROW][C]0.64[/C][C]49.1606754718469[/C][C]0.149909707650240[/C][/ROW]
[ROW][C]0.65[/C][C]49.1891575744964[/C][C]0.147244488195658[/C][/ROW]
[ROW][C]0.66[/C][C]49.2173479362771[/C][C]0.144947139747133[/C][/ROW]
[ROW][C]0.67[/C][C]49.2453298031263[/C][C]0.143024439771602[/C][/ROW]
[ROW][C]0.68[/C][C]49.2731773636191[/C][C]0.141293011028192[/C][/ROW]
[ROW][C]0.69[/C][C]49.3009624171473[/C][C]0.139781614731541[/C][/ROW]
[ROW][C]0.7[/C][C]49.3287632016992[/C][C]0.138491354677999[/C][/ROW]
[ROW][C]0.71[/C][C]49.3566720984764[/C][C]0.137594005195635[/C][/ROW]
[ROW][C]0.72[/C][C]49.3847992156705[/C][C]0.137111368798550[/C][/ROW]
[ROW][C]0.73[/C][C]49.4132701041919[/C][C]0.137272240860285[/C][/ROW]
[ROW][C]0.74[/C][C]49.4422180975921[/C][C]0.137986315006466[/C][/ROW]
[ROW][C]0.75[/C][C]49.4717746101204[/C][C]0.139281639894651[/C][/ROW]
[ROW][C]0.76[/C][C]49.5020632236334[/C][C]0.140986263416864[/C][/ROW]
[ROW][C]0.77[/C][C]49.5332041531566[/C][C]0.142859266025075[/C][/ROW]
[ROW][C]0.78[/C][C]49.5653333452189[/C][C]0.144863305880723[/C][/ROW]
[ROW][C]0.79[/C][C]49.5986344879126[/C][C]0.147061630993676[/C][/ROW]
[ROW][C]0.8[/C][C]49.6333736564548[/C][C]0.14995288660763[/C][/ROW]
[ROW][C]0.81[/C][C]49.6699182248206[/C][C]0.154111513725713[/C][/ROW]
[ROW][C]0.82[/C][C]49.7087186108773[/C][C]0.160138564099159[/C][/ROW]
[ROW][C]0.83[/C][C]49.7502379962667[/C][C]0.16821229962708[/C][/ROW]
[ROW][C]0.84[/C][C]49.7948337384623[/C][C]0.177699011516525[/C][/ROW]
[ROW][C]0.85[/C][C]49.8426226009212[/C][C]0.187152450884329[/C][/ROW]
[ROW][C]0.86[/C][C]49.8933923250937[/C][C]0.194563073448502[/C][/ROW]
[ROW][C]0.87[/C][C]49.946641929099[/C][C]0.198007898104925[/C][/ROW]
[ROW][C]0.88[/C][C]50.0018281045772[/C][C]0.196628263495699[/C][/ROW]
[ROW][C]0.89[/C][C]50.0588516614229[/C][C]0.191495811312287[/C][/ROW]
[ROW][C]0.9[/C][C]50.11872338394[/C][C]0.186446286123619[/C][/ROW]
[ROW][C]0.91[/C][C]50.1841916506439[/C][C]0.188460754496875[/C][/ROW]
[ROW][C]0.92[/C][C]50.2599029821431[/C][C]0.205915481848152[/C][/ROW]
[ROW][C]0.93[/C][C]50.3514873203879[/C][C]0.242915673435679[/C][/ROW]
[ROW][C]0.94[/C][C]50.4630580194057[/C][C]0.292373292991671[/C][/ROW]
[ROW][C]0.95[/C][C]50.5933700553701[/C][C]0.333594063344592[/C][/ROW]
[ROW][C]0.96[/C][C]50.7324227470922[/C][C]0.337383563559129[/C][/ROW]
[ROW][C]0.97[/C][C]50.8617719036919[/C][C]0.282131869793661[/C][/ROW]
[ROW][C]0.98[/C][C]50.9610949552405[/C][C]0.176500391978488[/C][/ROW]
[ROW][C]0.99[/C][C]51.0189677402143[/C][C]0.0669390103158896[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9654&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9654&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
0.0147.87122201163970.00364399199107449
0.0247.87433798815760.00858087271392178
0.0347.87937578911240.0129311889287858
0.0447.8858627228720.0161653502822999
0.0547.89326160868380.0186985776707366
0.0647.9012732104070.021474677786446
0.0747.90991440411440.0255240717636126
0.0847.91942449900480.0311919910194641
0.0947.93008648189570.0379844731173477
0.147.94204961382550.0447269901246095
0.1147.9552220717220.0502494498331631
0.1247.96926576551550.0536510682130792
0.1347.98368153105210.0545853764317483
0.1447.99794060233880.053317860782262
0.1548.01160939948910.0506222392599373
0.1648.02442798220060.0474265822749932
0.1748.03632740785730.0445479014773012
0.1848.04739512739810.0425560606294273
0.1948.05781191014790.0416484930485889
0.248.067786362790.0416241830011141
0.2148.07750672774980.0421615205064485
0.2248.08711930806760.0430164549810641
0.2348.09673303817530.0440014937772888
0.2448.10644295422980.0453019882643435
0.2548.11636220606650.0471217604510388
0.2648.12665215550360.0499500312410197
0.2748.1375419838010.0544062510360327
0.2848.1493321844020.0609206945998802
0.2948.16237974446480.069735578778588
0.348.17706632529990.0808529433761961
0.3148.19375398505050.0939460953128883
0.3248.21273553767560.108311271517510
0.3348.23418806657890.123144365471921
0.3448.25813805186590.137547284839416
0.3548.2844449104590.150457420470511
0.3648.3128067179510.160990889646118
0.3748.3427880551290.168619841771927
0.3848.37386609686290.172911259509647
0.3948.40548804320720.174023349339807
0.448.43713137466510.172295013527181
0.4148.46835841789680.168301084853686
0.4248.49885815470920.163004910077881
0.4348.52847061252290.157246794269428
0.4448.55719193623550.152044885527905
0.4548.58516083151490.148202047153403
0.4648.61262916273460.146300304672221
0.4748.63992098483820.146686977201491
0.4848.66738523802170.149365368148559
0.4948.69534781821550.153873502035520
0.548.7240687669550.159776582062384
0.5148.75370981785540.166146427611768
0.5248.78431637376760.17226049017642
0.5348.81581612606490.177299153658544
0.5448.84803410737950.180772884707482
0.5548.88072135879010.182300333455151
0.5648.91359212512260.181808057144718
0.5748.94636311826730.179537739380340
0.5848.97878829160260.175840212112417
0.5949.01068381741220.171238809873307
0.649.04194025998470.16630364886872
0.6149.07252171161110.1614391832297
0.6249.10245422136270.156962678064546
0.6349.13180761565560.153151832791587
0.6449.16067547184690.149909707650240
0.6549.18915757449640.147244488195658
0.6649.21734793627710.144947139747133
0.6749.24532980312630.143024439771602
0.6849.27317736361910.141293011028192
0.6949.30096241714730.139781614731541
0.749.32876320169920.138491354677999
0.7149.35667209847640.137594005195635
0.7249.38479921567050.137111368798550
0.7349.41327010419190.137272240860285
0.7449.44221809759210.137986315006466
0.7549.47177461012040.139281639894651
0.7649.50206322363340.140986263416864
0.7749.53320415315660.142859266025075
0.7849.56533334521890.144863305880723
0.7949.59863448791260.147061630993676
0.849.63337365645480.14995288660763
0.8149.66991822482060.154111513725713
0.8249.70871861087730.160138564099159
0.8349.75023799626670.16821229962708
0.8449.79483373846230.177699011516525
0.8549.84262260092120.187152450884329
0.8649.89339232509370.194563073448502
0.8749.9466419290990.198007898104925
0.8850.00182810457720.196628263495699
0.8950.05885166142290.191495811312287
0.950.118723383940.186446286123619
0.9150.18419165064390.188460754496875
0.9250.25990298214310.205915481848152
0.9350.35148732038790.242915673435679
0.9450.46305801940570.292373292991671
0.9550.59337005537010.333594063344592
0.9650.73242274709220.337383563559129
0.9750.86177190369190.282131869793661
0.9850.96109495524050.176500391978488
0.9951.01896774021430.0669390103158896


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')