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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, 13 Oct 2010 13:15:16 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/13/t1286978350kjwxazquqi826jx.htm/, Retrieved Mon, 06 May 2024 14:02:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83117, Retrieved Mon, 06 May 2024 14:02:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42 - Pauwels
Estimated Impact121

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] [Faillissementen d...] [2010-10-13 13:15:16] [0879bbcec85a2f8393668d46994b687b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12
13
23
24
21
20
18
13
12
25
21
17
10
15
23
12
10
21
9
13
17
14
20
12
13
14
23
14
21
21
21
7
15
28
28
18
22
30
1
26
29
24
26
19
19
41
36
54
49
33
50
43
51
46
45
23
56
41
48
43

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' @ 72.249.76.132

\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' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83117&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' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83117&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83117&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' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.329838312858175.07460931759149
0.024.203398513869173.96125630222851
0.036.027704093494282.95746931126854
0.047.506112670134752.23421687984746
0.058.608130731710621.7784474346804
0.069.418840710061721.51050725625873
0.0710.03454137785121.34944225303760
0.0810.52485838536991.23418223997704
0.0910.93129431461301.12994036683613
0.111.27670157727001.02578187420795
0.1111.57429183216430.926148701833455
0.1211.83332452932210.841169898518331
0.1312.06182123383430.779147968798718
0.1412.26739275432610.743023901977432
0.1512.45717750801390.730901751586534
0.1612.63756826142770.73901844006542
0.1712.81406069827850.764361352459362
0.1812.99129307409310.805477549827043
0.1913.17320295680870.861972307836351
0.213.36319254962030.933563750301154
0.2113.56422529501611.01937704843654
0.2213.77882799567701.11759550676852
0.2314.00901478410851.22533403049144
0.2414.25617107578791.33879173720032
0.2514.52093928623841.4534485464963
0.2614.80314067365611.56433511944577
0.2715.10175564701111.66651238879088
0.2815.41497206925431.75550046743549
0.2915.74029914088431.82765837371741
0.316.07473417883031.88053116940293
0.3116.41496189426831.91298536021187
0.3216.75756170486741.92515974308827
0.3317.09919901962881.91828867049200
0.3417.43678131940431.89437091944744
0.3517.76756815283671.8558226753315
0.3618.08923390313381.8051774860203
0.3718.39989101672611.74480042103814
0.3818.69808727794521.67686920659051
0.3918.98279246735511.60336790544452
0.419.25338727680931.52621881611108
0.4119.50966166180191.44743461433584
0.4219.75182263039821.36929231802726
0.4319.98050481102841.29435563107159
0.4420.19677279515581.22550739008813
0.4520.40210336282381.16567036829814
0.4620.59833853251551.11764331583594
0.4720.78760627069921.08363323590730
0.4820.97221323030251.0648487780178
0.4921.15452121273721.06134195227633
0.521.33682431920681.07188904479298
0.5121.52124556983101.09431930061425
0.5221.70966951112571.12613519840352
0.5321.90372135798081.16492456542237
0.5422.10479479658911.20891596135770
0.5522.31412162185861.25717496004832
0.5622.53286900469031.30983877363769
0.5722.76224617312231.36780120740024
0.5823.00360266806161.43262587071079
0.5923.25850506478341.50608808503794
0.623.52878700175261.58988227352176
0.6123.81657650389591.68545616484476
0.6224.12431242647311.79385204847573
0.6324.45476592989821.91602088126393
0.6424.81108137665682.05301262745041
0.6525.19684314286142.20642617438836
0.6625.61616119071522.37859807897667
0.6726.07375104509242.57269086429063
0.6826.57496673046632.79245032757685
0.6927.12573304458433.04131564417241
0.727.73232146630213.32143559829276
0.7128.40092651308793.63205488556665
0.7229.13702885891673.96815711243331
0.7329.94457675676934.31953391615560
0.7430.8250722708484.67035700602032
0.7531.77670250165714.99998293487841
0.7632.79369362441495.28478593062824
0.7733.8660716562055.50082393340686
0.7834.97997665206205.62736443403383
0.7936.1185934397785.65036980016562
0.837.26364154203425.56536772403111
0.8138.39723265518525.3791041416041
0.8239.5037893475435.10930481811729
0.8340.57165973594914.78247233970708
0.8441.59408858804644.42958551097908
0.8542.56932678532974.08070920296791
0.8643.49986533744043.75934369822389
0.8744.39102904152123.47778817603375
0.8845.2494000024653.23582127200345
0.8946.08169118736953.02360681431815
0.946.8946767307412.82847472732736
0.9147.69652967554982.64338079251311
0.9248.49935804181032.47437855392779
0.9349.32187513814432.34356003599211
0.9450.19014172388632.28194977251125
0.9551.13347356172822.30393977536702
0.9652.17222713625482.37145231571853
0.9753.29478868511412.39059829657969
0.9854.42536586907752.28167410428505
0.9955.3998963396432.09107838061540

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.32983831285817 & 5.07460931759149 \tabularnewline
0.02 & 4.20339851386917 & 3.96125630222851 \tabularnewline
0.03 & 6.02770409349428 & 2.95746931126854 \tabularnewline
0.04 & 7.50611267013475 & 2.23421687984746 \tabularnewline
0.05 & 8.60813073171062 & 1.7784474346804 \tabularnewline
0.06 & 9.41884071006172 & 1.51050725625873 \tabularnewline
0.07 & 10.0345413778512 & 1.34944225303760 \tabularnewline
0.08 & 10.5248583853699 & 1.23418223997704 \tabularnewline
0.09 & 10.9312943146130 & 1.12994036683613 \tabularnewline
0.1 & 11.2767015772700 & 1.02578187420795 \tabularnewline
0.11 & 11.5742918321643 & 0.926148701833455 \tabularnewline
0.12 & 11.8333245293221 & 0.841169898518331 \tabularnewline
0.13 & 12.0618212338343 & 0.779147968798718 \tabularnewline
0.14 & 12.2673927543261 & 0.743023901977432 \tabularnewline
0.15 & 12.4571775080139 & 0.730901751586534 \tabularnewline
0.16 & 12.6375682614277 & 0.73901844006542 \tabularnewline
0.17 & 12.8140606982785 & 0.764361352459362 \tabularnewline
0.18 & 12.9912930740931 & 0.805477549827043 \tabularnewline
0.19 & 13.1732029568087 & 0.861972307836351 \tabularnewline
0.2 & 13.3631925496203 & 0.933563750301154 \tabularnewline
0.21 & 13.5642252950161 & 1.01937704843654 \tabularnewline
0.22 & 13.7788279956770 & 1.11759550676852 \tabularnewline
0.23 & 14.0090147841085 & 1.22533403049144 \tabularnewline
0.24 & 14.2561710757879 & 1.33879173720032 \tabularnewline
0.25 & 14.5209392862384 & 1.4534485464963 \tabularnewline
0.26 & 14.8031406736561 & 1.56433511944577 \tabularnewline
0.27 & 15.1017556470111 & 1.66651238879088 \tabularnewline
0.28 & 15.4149720692543 & 1.75550046743549 \tabularnewline
0.29 & 15.7402991408843 & 1.82765837371741 \tabularnewline
0.3 & 16.0747341788303 & 1.88053116940293 \tabularnewline
0.31 & 16.4149618942683 & 1.91298536021187 \tabularnewline
0.32 & 16.7575617048674 & 1.92515974308827 \tabularnewline
0.33 & 17.0991990196288 & 1.91828867049200 \tabularnewline
0.34 & 17.4367813194043 & 1.89437091944744 \tabularnewline
0.35 & 17.7675681528367 & 1.8558226753315 \tabularnewline
0.36 & 18.0892339031338 & 1.8051774860203 \tabularnewline
0.37 & 18.3998910167261 & 1.74480042103814 \tabularnewline
0.38 & 18.6980872779452 & 1.67686920659051 \tabularnewline
0.39 & 18.9827924673551 & 1.60336790544452 \tabularnewline
0.4 & 19.2533872768093 & 1.52621881611108 \tabularnewline
0.41 & 19.5096616618019 & 1.44743461433584 \tabularnewline
0.42 & 19.7518226303982 & 1.36929231802726 \tabularnewline
0.43 & 19.9805048110284 & 1.29435563107159 \tabularnewline
0.44 & 20.1967727951558 & 1.22550739008813 \tabularnewline
0.45 & 20.4021033628238 & 1.16567036829814 \tabularnewline
0.46 & 20.5983385325155 & 1.11764331583594 \tabularnewline
0.47 & 20.7876062706992 & 1.08363323590730 \tabularnewline
0.48 & 20.9722132303025 & 1.0648487780178 \tabularnewline
0.49 & 21.1545212127372 & 1.06134195227633 \tabularnewline
0.5 & 21.3368243192068 & 1.07188904479298 \tabularnewline
0.51 & 21.5212455698310 & 1.09431930061425 \tabularnewline
0.52 & 21.7096695111257 & 1.12613519840352 \tabularnewline
0.53 & 21.9037213579808 & 1.16492456542237 \tabularnewline
0.54 & 22.1047947965891 & 1.20891596135770 \tabularnewline
0.55 & 22.3141216218586 & 1.25717496004832 \tabularnewline
0.56 & 22.5328690046903 & 1.30983877363769 \tabularnewline
0.57 & 22.7622461731223 & 1.36780120740024 \tabularnewline
0.58 & 23.0036026680616 & 1.43262587071079 \tabularnewline
0.59 & 23.2585050647834 & 1.50608808503794 \tabularnewline
0.6 & 23.5287870017526 & 1.58988227352176 \tabularnewline
0.61 & 23.8165765038959 & 1.68545616484476 \tabularnewline
0.62 & 24.1243124264731 & 1.79385204847573 \tabularnewline
0.63 & 24.4547659298982 & 1.91602088126393 \tabularnewline
0.64 & 24.8110813766568 & 2.05301262745041 \tabularnewline
0.65 & 25.1968431428614 & 2.20642617438836 \tabularnewline
0.66 & 25.6161611907152 & 2.37859807897667 \tabularnewline
0.67 & 26.0737510450924 & 2.57269086429063 \tabularnewline
0.68 & 26.5749667304663 & 2.79245032757685 \tabularnewline
0.69 & 27.1257330445843 & 3.04131564417241 \tabularnewline
0.7 & 27.7323214663021 & 3.32143559829276 \tabularnewline
0.71 & 28.4009265130879 & 3.63205488556665 \tabularnewline
0.72 & 29.1370288589167 & 3.96815711243331 \tabularnewline
0.73 & 29.9445767567693 & 4.31953391615560 \tabularnewline
0.74 & 30.825072270848 & 4.67035700602032 \tabularnewline
0.75 & 31.7767025016571 & 4.99998293487841 \tabularnewline
0.76 & 32.7936936244149 & 5.28478593062824 \tabularnewline
0.77 & 33.866071656205 & 5.50082393340686 \tabularnewline
0.78 & 34.9799766520620 & 5.62736443403383 \tabularnewline
0.79 & 36.118593439778 & 5.65036980016562 \tabularnewline
0.8 & 37.2636415420342 & 5.56536772403111 \tabularnewline
0.81 & 38.3972326551852 & 5.3791041416041 \tabularnewline
0.82 & 39.503789347543 & 5.10930481811729 \tabularnewline
0.83 & 40.5716597359491 & 4.78247233970708 \tabularnewline
0.84 & 41.5940885880464 & 4.42958551097908 \tabularnewline
0.85 & 42.5693267853297 & 4.08070920296791 \tabularnewline
0.86 & 43.4998653374404 & 3.75934369822389 \tabularnewline
0.87 & 44.3910290415212 & 3.47778817603375 \tabularnewline
0.88 & 45.249400002465 & 3.23582127200345 \tabularnewline
0.89 & 46.0816911873695 & 3.02360681431815 \tabularnewline
0.9 & 46.894676730741 & 2.82847472732736 \tabularnewline
0.91 & 47.6965296755498 & 2.64338079251311 \tabularnewline
0.92 & 48.4993580418103 & 2.47437855392779 \tabularnewline
0.93 & 49.3218751381443 & 2.34356003599211 \tabularnewline
0.94 & 50.1901417238863 & 2.28194977251125 \tabularnewline
0.95 & 51.1334735617282 & 2.30393977536702 \tabularnewline
0.96 & 52.1722271362548 & 2.37145231571853 \tabularnewline
0.97 & 53.2947886851141 & 2.39059829657969 \tabularnewline
0.98 & 54.4253658690775 & 2.28167410428505 \tabularnewline
0.99 & 55.399896339643 & 2.09107838061540 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83117&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]2.32983831285817[/C][C]5.07460931759149[/C][/ROW]
[ROW][C]0.02[/C][C]4.20339851386917[/C][C]3.96125630222851[/C][/ROW]
[ROW][C]0.03[/C][C]6.02770409349428[/C][C]2.95746931126854[/C][/ROW]
[ROW][C]0.04[/C][C]7.50611267013475[/C][C]2.23421687984746[/C][/ROW]
[ROW][C]0.05[/C][C]8.60813073171062[/C][C]1.7784474346804[/C][/ROW]
[ROW][C]0.06[/C][C]9.41884071006172[/C][C]1.51050725625873[/C][/ROW]
[ROW][C]0.07[/C][C]10.0345413778512[/C][C]1.34944225303760[/C][/ROW]
[ROW][C]0.08[/C][C]10.5248583853699[/C][C]1.23418223997704[/C][/ROW]
[ROW][C]0.09[/C][C]10.9312943146130[/C][C]1.12994036683613[/C][/ROW]
[ROW][C]0.1[/C][C]11.2767015772700[/C][C]1.02578187420795[/C][/ROW]
[ROW][C]0.11[/C][C]11.5742918321643[/C][C]0.926148701833455[/C][/ROW]
[ROW][C]0.12[/C][C]11.8333245293221[/C][C]0.841169898518331[/C][/ROW]
[ROW][C]0.13[/C][C]12.0618212338343[/C][C]0.779147968798718[/C][/ROW]
[ROW][C]0.14[/C][C]12.2673927543261[/C][C]0.743023901977432[/C][/ROW]
[ROW][C]0.15[/C][C]12.4571775080139[/C][C]0.730901751586534[/C][/ROW]
[ROW][C]0.16[/C][C]12.6375682614277[/C][C]0.73901844006542[/C][/ROW]
[ROW][C]0.17[/C][C]12.8140606982785[/C][C]0.764361352459362[/C][/ROW]
[ROW][C]0.18[/C][C]12.9912930740931[/C][C]0.805477549827043[/C][/ROW]
[ROW][C]0.19[/C][C]13.1732029568087[/C][C]0.861972307836351[/C][/ROW]
[ROW][C]0.2[/C][C]13.3631925496203[/C][C]0.933563750301154[/C][/ROW]
[ROW][C]0.21[/C][C]13.5642252950161[/C][C]1.01937704843654[/C][/ROW]
[ROW][C]0.22[/C][C]13.7788279956770[/C][C]1.11759550676852[/C][/ROW]
[ROW][C]0.23[/C][C]14.0090147841085[/C][C]1.22533403049144[/C][/ROW]
[ROW][C]0.24[/C][C]14.2561710757879[/C][C]1.33879173720032[/C][/ROW]
[ROW][C]0.25[/C][C]14.5209392862384[/C][C]1.4534485464963[/C][/ROW]
[ROW][C]0.26[/C][C]14.8031406736561[/C][C]1.56433511944577[/C][/ROW]
[ROW][C]0.27[/C][C]15.1017556470111[/C][C]1.66651238879088[/C][/ROW]
[ROW][C]0.28[/C][C]15.4149720692543[/C][C]1.75550046743549[/C][/ROW]
[ROW][C]0.29[/C][C]15.7402991408843[/C][C]1.82765837371741[/C][/ROW]
[ROW][C]0.3[/C][C]16.0747341788303[/C][C]1.88053116940293[/C][/ROW]
[ROW][C]0.31[/C][C]16.4149618942683[/C][C]1.91298536021187[/C][/ROW]
[ROW][C]0.32[/C][C]16.7575617048674[/C][C]1.92515974308827[/C][/ROW]
[ROW][C]0.33[/C][C]17.0991990196288[/C][C]1.91828867049200[/C][/ROW]
[ROW][C]0.34[/C][C]17.4367813194043[/C][C]1.89437091944744[/C][/ROW]
[ROW][C]0.35[/C][C]17.7675681528367[/C][C]1.8558226753315[/C][/ROW]
[ROW][C]0.36[/C][C]18.0892339031338[/C][C]1.8051774860203[/C][/ROW]
[ROW][C]0.37[/C][C]18.3998910167261[/C][C]1.74480042103814[/C][/ROW]
[ROW][C]0.38[/C][C]18.6980872779452[/C][C]1.67686920659051[/C][/ROW]
[ROW][C]0.39[/C][C]18.9827924673551[/C][C]1.60336790544452[/C][/ROW]
[ROW][C]0.4[/C][C]19.2533872768093[/C][C]1.52621881611108[/C][/ROW]
[ROW][C]0.41[/C][C]19.5096616618019[/C][C]1.44743461433584[/C][/ROW]
[ROW][C]0.42[/C][C]19.7518226303982[/C][C]1.36929231802726[/C][/ROW]
[ROW][C]0.43[/C][C]19.9805048110284[/C][C]1.29435563107159[/C][/ROW]
[ROW][C]0.44[/C][C]20.1967727951558[/C][C]1.22550739008813[/C][/ROW]
[ROW][C]0.45[/C][C]20.4021033628238[/C][C]1.16567036829814[/C][/ROW]
[ROW][C]0.46[/C][C]20.5983385325155[/C][C]1.11764331583594[/C][/ROW]
[ROW][C]0.47[/C][C]20.7876062706992[/C][C]1.08363323590730[/C][/ROW]
[ROW][C]0.48[/C][C]20.9722132303025[/C][C]1.0648487780178[/C][/ROW]
[ROW][C]0.49[/C][C]21.1545212127372[/C][C]1.06134195227633[/C][/ROW]
[ROW][C]0.5[/C][C]21.3368243192068[/C][C]1.07188904479298[/C][/ROW]
[ROW][C]0.51[/C][C]21.5212455698310[/C][C]1.09431930061425[/C][/ROW]
[ROW][C]0.52[/C][C]21.7096695111257[/C][C]1.12613519840352[/C][/ROW]
[ROW][C]0.53[/C][C]21.9037213579808[/C][C]1.16492456542237[/C][/ROW]
[ROW][C]0.54[/C][C]22.1047947965891[/C][C]1.20891596135770[/C][/ROW]
[ROW][C]0.55[/C][C]22.3141216218586[/C][C]1.25717496004832[/C][/ROW]
[ROW][C]0.56[/C][C]22.5328690046903[/C][C]1.30983877363769[/C][/ROW]
[ROW][C]0.57[/C][C]22.7622461731223[/C][C]1.36780120740024[/C][/ROW]
[ROW][C]0.58[/C][C]23.0036026680616[/C][C]1.43262587071079[/C][/ROW]
[ROW][C]0.59[/C][C]23.2585050647834[/C][C]1.50608808503794[/C][/ROW]
[ROW][C]0.6[/C][C]23.5287870017526[/C][C]1.58988227352176[/C][/ROW]
[ROW][C]0.61[/C][C]23.8165765038959[/C][C]1.68545616484476[/C][/ROW]
[ROW][C]0.62[/C][C]24.1243124264731[/C][C]1.79385204847573[/C][/ROW]
[ROW][C]0.63[/C][C]24.4547659298982[/C][C]1.91602088126393[/C][/ROW]
[ROW][C]0.64[/C][C]24.8110813766568[/C][C]2.05301262745041[/C][/ROW]
[ROW][C]0.65[/C][C]25.1968431428614[/C][C]2.20642617438836[/C][/ROW]
[ROW][C]0.66[/C][C]25.6161611907152[/C][C]2.37859807897667[/C][/ROW]
[ROW][C]0.67[/C][C]26.0737510450924[/C][C]2.57269086429063[/C][/ROW]
[ROW][C]0.68[/C][C]26.5749667304663[/C][C]2.79245032757685[/C][/ROW]
[ROW][C]0.69[/C][C]27.1257330445843[/C][C]3.04131564417241[/C][/ROW]
[ROW][C]0.7[/C][C]27.7323214663021[/C][C]3.32143559829276[/C][/ROW]
[ROW][C]0.71[/C][C]28.4009265130879[/C][C]3.63205488556665[/C][/ROW]
[ROW][C]0.72[/C][C]29.1370288589167[/C][C]3.96815711243331[/C][/ROW]
[ROW][C]0.73[/C][C]29.9445767567693[/C][C]4.31953391615560[/C][/ROW]
[ROW][C]0.74[/C][C]30.825072270848[/C][C]4.67035700602032[/C][/ROW]
[ROW][C]0.75[/C][C]31.7767025016571[/C][C]4.99998293487841[/C][/ROW]
[ROW][C]0.76[/C][C]32.7936936244149[/C][C]5.28478593062824[/C][/ROW]
[ROW][C]0.77[/C][C]33.866071656205[/C][C]5.50082393340686[/C][/ROW]
[ROW][C]0.78[/C][C]34.9799766520620[/C][C]5.62736443403383[/C][/ROW]
[ROW][C]0.79[/C][C]36.118593439778[/C][C]5.65036980016562[/C][/ROW]
[ROW][C]0.8[/C][C]37.2636415420342[/C][C]5.56536772403111[/C][/ROW]
[ROW][C]0.81[/C][C]38.3972326551852[/C][C]5.3791041416041[/C][/ROW]
[ROW][C]0.82[/C][C]39.503789347543[/C][C]5.10930481811729[/C][/ROW]
[ROW][C]0.83[/C][C]40.5716597359491[/C][C]4.78247233970708[/C][/ROW]
[ROW][C]0.84[/C][C]41.5940885880464[/C][C]4.42958551097908[/C][/ROW]
[ROW][C]0.85[/C][C]42.5693267853297[/C][C]4.08070920296791[/C][/ROW]
[ROW][C]0.86[/C][C]43.4998653374404[/C][C]3.75934369822389[/C][/ROW]
[ROW][C]0.87[/C][C]44.3910290415212[/C][C]3.47778817603375[/C][/ROW]
[ROW][C]0.88[/C][C]45.249400002465[/C][C]3.23582127200345[/C][/ROW]
[ROW][C]0.89[/C][C]46.0816911873695[/C][C]3.02360681431815[/C][/ROW]
[ROW][C]0.9[/C][C]46.894676730741[/C][C]2.82847472732736[/C][/ROW]
[ROW][C]0.91[/C][C]47.6965296755498[/C][C]2.64338079251311[/C][/ROW]
[ROW][C]0.92[/C][C]48.4993580418103[/C][C]2.47437855392779[/C][/ROW]
[ROW][C]0.93[/C][C]49.3218751381443[/C][C]2.34356003599211[/C][/ROW]
[ROW][C]0.94[/C][C]50.1901417238863[/C][C]2.28194977251125[/C][/ROW]
[ROW][C]0.95[/C][C]51.1334735617282[/C][C]2.30393977536702[/C][/ROW]
[ROW][C]0.96[/C][C]52.1722271362548[/C][C]2.37145231571853[/C][/ROW]
[ROW][C]0.97[/C][C]53.2947886851141[/C][C]2.39059829657969[/C][/ROW]
[ROW][C]0.98[/C][C]54.4253658690775[/C][C]2.28167410428505[/C][/ROW]
[ROW][C]0.99[/C][C]55.399896339643[/C][C]2.09107838061540[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83117&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83117&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
0.012.329838312858175.07460931759149
0.024.203398513869173.96125630222851
0.036.027704093494282.95746931126854
0.047.506112670134752.23421687984746
0.058.608130731710621.7784474346804
0.069.418840710061721.51050725625873
0.0710.03454137785121.34944225303760
0.0810.52485838536991.23418223997704
0.0910.93129431461301.12994036683613
0.111.27670157727001.02578187420795
0.1111.57429183216430.926148701833455
0.1211.83332452932210.841169898518331
0.1312.06182123383430.779147968798718
0.1412.26739275432610.743023901977432
0.1512.45717750801390.730901751586534
0.1612.63756826142770.73901844006542
0.1712.81406069827850.764361352459362
0.1812.99129307409310.805477549827043
0.1913.17320295680870.861972307836351
0.213.36319254962030.933563750301154
0.2113.56422529501611.01937704843654
0.2213.77882799567701.11759550676852
0.2314.00901478410851.22533403049144
0.2414.25617107578791.33879173720032
0.2514.52093928623841.4534485464963
0.2614.80314067365611.56433511944577
0.2715.10175564701111.66651238879088
0.2815.41497206925431.75550046743549
0.2915.74029914088431.82765837371741
0.316.07473417883031.88053116940293
0.3116.41496189426831.91298536021187
0.3216.75756170486741.92515974308827
0.3317.09919901962881.91828867049200
0.3417.43678131940431.89437091944744
0.3517.76756815283671.8558226753315
0.3618.08923390313381.8051774860203
0.3718.39989101672611.74480042103814
0.3818.69808727794521.67686920659051
0.3918.98279246735511.60336790544452
0.419.25338727680931.52621881611108
0.4119.50966166180191.44743461433584
0.4219.75182263039821.36929231802726
0.4319.98050481102841.29435563107159
0.4420.19677279515581.22550739008813
0.4520.40210336282381.16567036829814
0.4620.59833853251551.11764331583594
0.4720.78760627069921.08363323590730
0.4820.97221323030251.0648487780178
0.4921.15452121273721.06134195227633
0.521.33682431920681.07188904479298
0.5121.52124556983101.09431930061425
0.5221.70966951112571.12613519840352
0.5321.90372135798081.16492456542237
0.5422.10479479658911.20891596135770
0.5522.31412162185861.25717496004832
0.5622.53286900469031.30983877363769
0.5722.76224617312231.36780120740024
0.5823.00360266806161.43262587071079
0.5923.25850506478341.50608808503794
0.623.52878700175261.58988227352176
0.6123.81657650389591.68545616484476
0.6224.12431242647311.79385204847573
0.6324.45476592989821.91602088126393
0.6424.81108137665682.05301262745041
0.6525.19684314286142.20642617438836
0.6625.61616119071522.37859807897667
0.6726.07375104509242.57269086429063
0.6826.57496673046632.79245032757685
0.6927.12573304458433.04131564417241
0.727.73232146630213.32143559829276
0.7128.40092651308793.63205488556665
0.7229.13702885891673.96815711243331
0.7329.94457675676934.31953391615560
0.7430.8250722708484.67035700602032
0.7531.77670250165714.99998293487841
0.7632.79369362441495.28478593062824
0.7733.8660716562055.50082393340686
0.7834.97997665206205.62736443403383
0.7936.1185934397785.65036980016562
0.837.26364154203425.56536772403111
0.8138.39723265518525.3791041416041
0.8239.5037893475435.10930481811729
0.8340.57165973594914.78247233970708
0.8441.59408858804644.42958551097908
0.8542.56932678532974.08070920296791
0.8643.49986533744043.75934369822389
0.8744.39102904152123.47778817603375
0.8845.2494000024653.23582127200345
0.8946.08169118736953.02360681431815
0.946.8946767307412.82847472732736
0.9147.69652967554982.64338079251311
0.9248.49935804181032.47437855392779
0.9349.32187513814432.34356003599211
0.9450.19014172388632.28194977251125
0.9551.13347356172822.30393977536702
0.9652.17222713625482.37145231571853
0.9753.29478868511412.39059829657969
0.9854.42536586907752.28167410428505
0.9955.3998963396432.09107838061540


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')