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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 24 Oct 2009 14:47:19 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/24/t1256417312ruh9vf14tlw6v64.htm/, Retrieved Fri, 03 May 2024 14:09:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=50247, Retrieved Fri, 03 May 2024 14:09:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact134

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [SHWWS2] [2009-10-13 19:25:22] [f966872135bb25240f339c0c372beeec]
-    D  [Univariate Data Series] [SHWWS2.2] [2009-10-13 19:36:24] [f966872135bb25240f339c0c372beeec]
- RMPD      [Harrell-Davis Quantiles] [SHWWS3V3] [2009-10-24 20:47:19] [ad87854c04c4a917385375bf83f61258] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8
10
7
55
-35
-6
35
-29
-13
0
-12
27
24
21
42
0
50
34
30
13
-13
11
-8
-8
-20
43
28
-7
5
0
-12
23
20
-3
-21
-4
6
-6
-25
32
-8
7
-14
6
-17
-11
-11
-27
2
2
2
34
-24
17
-15
-22
-23
8
-11
-28

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=50247&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=50247&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50247&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
0.01-33.7184750124954.9562074499971
0.02-31.93280011340343.74386227654522
0.03-30.19929739701992.77223382041574
0.04-28.76615770975172.26125705551982
0.05-27.6280844693182.12740610579817
0.06-26.68726199252962.17154878647458
0.07-25.85345104745622.26329486935959
0.08-25.0712211499672.35982987151721
0.09-24.31231586274932.46337461589761
0.1-23.56212523723322.58870417730494
0.11-22.81112097394272.74469215395039
0.12-22.05188587820392.92741834773301
0.13-21.27932420899483.12100371024221
0.14-20.49180822994713.30268022682143
0.15-19.69195226430253.44880348501368
0.16-18.88651409957633.53971780308212
0.17-18.08543762889153.56344162746488
0.18-17.30031814375573.51711338521616
0.19-16.54266580177283.40689703516924
0.2-15.82232083420313.24617544366756
0.21-15.14628069572993.05315507680135
0.22-14.51807332442802.84781026909383
0.23-13.93768565748562.64926897644817
0.24-13.40195783364652.4736958521528
0.25-12.90529466663492.33279268825533
0.26-12.44052835915062.23314170735726
0.27-11.99978206607562.17621220798685
0.28-11.5752202094312.15913531244987
0.29-11.15961576368582.17610949396234
0.3-10.74670740272402.21995755660067
0.31-10.33135471627762.28361997854331
0.32-9.909525323380142.36112262726261
0.33-9.478163381784922.44811223871185
0.34-9.034995366640962.54195593453679
0.35-8.5783269809932.64142310337522
0.36-8.106875775379962.74611936686058
0.37-7.61966906987752.8557832258318
0.38-7.116018382602412.96961595145474
0.39-6.595562760077493.08575840090355
0.4-6.058357470529423.20113113014027
0.41-5.504974412296423.31156142099033
0.42-4.936578212877123.41227735602648
0.43-4.354947693768773.49852494580860
0.44-3.762424772265193.56624986726994
0.45-3.161789118915113.61271631715983
0.46-2.556073299125343.63686675012713
0.47-1.948345995584183.63945591678157
0.48-1.341497354111473.62284785991731
0.49-0.7380591103946723.59061229660825
0.5-0.1400833137990503.5468805385886
0.510.4509107661679343.49572798108111
0.521.033928296916703.44061505049203
0.531.608450511799513.38408504080942
0.542.17437729782383.32777648741392
0.552.731993914130013.27276819698142
0.563.281989096645163.22018618078934
0.573.825538812168243.17188114853318
0.584.364452379194333.13108934572777
0.594.901359044890213.10283218611907
0.65.439897110122583.09398880125433
0.615.984857574636453.11283379178577
0.626.54223226342133.16809060936483
0.637.119123400498673.26755074686096
0.647.723487147803283.41647828554181
0.658.36370601377683.61617189411152
0.669.048011538120283.86322238771275
0.679.783805791547994.14926621413131
0.6810.57695399034874.46148250429958
0.6911.43113670241884.78364579899676
0.712.34735476421685.09747133992816
0.7113.32367016457425.3843309800629
0.7214.35524070156345.62713186565819
0.7315.43466689559445.81212759074072
0.7416.55262147811545.93046042860372
0.7517.69868289406325.97912828565096
0.7618.86225467693145.96104023984616
0.7720.03343216987255.88433469153264
0.7821.20368431410435.76080117853342
0.7922.36625420143745.60361157022966
0.823.51624561991345.42516789762479
0.8124.65044643212945.23517827945067
0.8225.76703050005795.03958221190069
0.8326.86535875482104.84103491871982
0.8427.94613915133344.64060349872689
0.8529.01216847635894.44096234169308
0.8630.06973067109744.25039252501735
0.8731.1304565102484.0867878303686
0.8832.21311385846663.97930186182414
0.8933.34455005932593.96407399296947
0.934.55907510308724.0699408823825
0.9135.89611957586844.29840017208998
0.9237.39688454537794.61399849273703
0.9339.10127223209994.95862893693227
0.9441.04556096558325.28091163563525
0.9543.25803430514735.55075257188435
0.9645.74402603062155.73062296551194
0.9748.44653553225465.73426219059951
0.9851.17487569163465.49048634125333
0.9953.53640724678185.128398155856

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -33.718475012495 & 4.9562074499971 \tabularnewline
0.02 & -31.9328001134034 & 3.74386227654522 \tabularnewline
0.03 & -30.1992973970199 & 2.77223382041574 \tabularnewline
0.04 & -28.7661577097517 & 2.26125705551982 \tabularnewline
0.05 & -27.628084469318 & 2.12740610579817 \tabularnewline
0.06 & -26.6872619925296 & 2.17154878647458 \tabularnewline
0.07 & -25.8534510474562 & 2.26329486935959 \tabularnewline
0.08 & -25.071221149967 & 2.35982987151721 \tabularnewline
0.09 & -24.3123158627493 & 2.46337461589761 \tabularnewline
0.1 & -23.5621252372332 & 2.58870417730494 \tabularnewline
0.11 & -22.8111209739427 & 2.74469215395039 \tabularnewline
0.12 & -22.0518858782039 & 2.92741834773301 \tabularnewline
0.13 & -21.2793242089948 & 3.12100371024221 \tabularnewline
0.14 & -20.4918082299471 & 3.30268022682143 \tabularnewline
0.15 & -19.6919522643025 & 3.44880348501368 \tabularnewline
0.16 & -18.8865140995763 & 3.53971780308212 \tabularnewline
0.17 & -18.0854376288915 & 3.56344162746488 \tabularnewline
0.18 & -17.3003181437557 & 3.51711338521616 \tabularnewline
0.19 & -16.5426658017728 & 3.40689703516924 \tabularnewline
0.2 & -15.8223208342031 & 3.24617544366756 \tabularnewline
0.21 & -15.1462806957299 & 3.05315507680135 \tabularnewline
0.22 & -14.5180733244280 & 2.84781026909383 \tabularnewline
0.23 & -13.9376856574856 & 2.64926897644817 \tabularnewline
0.24 & -13.4019578336465 & 2.4736958521528 \tabularnewline
0.25 & -12.9052946666349 & 2.33279268825533 \tabularnewline
0.26 & -12.4405283591506 & 2.23314170735726 \tabularnewline
0.27 & -11.9997820660756 & 2.17621220798685 \tabularnewline
0.28 & -11.575220209431 & 2.15913531244987 \tabularnewline
0.29 & -11.1596157636858 & 2.17610949396234 \tabularnewline
0.3 & -10.7467074027240 & 2.21995755660067 \tabularnewline
0.31 & -10.3313547162776 & 2.28361997854331 \tabularnewline
0.32 & -9.90952532338014 & 2.36112262726261 \tabularnewline
0.33 & -9.47816338178492 & 2.44811223871185 \tabularnewline
0.34 & -9.03499536664096 & 2.54195593453679 \tabularnewline
0.35 & -8.578326980993 & 2.64142310337522 \tabularnewline
0.36 & -8.10687577537996 & 2.74611936686058 \tabularnewline
0.37 & -7.6196690698775 & 2.8557832258318 \tabularnewline
0.38 & -7.11601838260241 & 2.96961595145474 \tabularnewline
0.39 & -6.59556276007749 & 3.08575840090355 \tabularnewline
0.4 & -6.05835747052942 & 3.20113113014027 \tabularnewline
0.41 & -5.50497441229642 & 3.31156142099033 \tabularnewline
0.42 & -4.93657821287712 & 3.41227735602648 \tabularnewline
0.43 & -4.35494769376877 & 3.49852494580860 \tabularnewline
0.44 & -3.76242477226519 & 3.56624986726994 \tabularnewline
0.45 & -3.16178911891511 & 3.61271631715983 \tabularnewline
0.46 & -2.55607329912534 & 3.63686675012713 \tabularnewline
0.47 & -1.94834599558418 & 3.63945591678157 \tabularnewline
0.48 & -1.34149735411147 & 3.62284785991731 \tabularnewline
0.49 & -0.738059110394672 & 3.59061229660825 \tabularnewline
0.5 & -0.140083313799050 & 3.5468805385886 \tabularnewline
0.51 & 0.450910766167934 & 3.49572798108111 \tabularnewline
0.52 & 1.03392829691670 & 3.44061505049203 \tabularnewline
0.53 & 1.60845051179951 & 3.38408504080942 \tabularnewline
0.54 & 2.1743772978238 & 3.32777648741392 \tabularnewline
0.55 & 2.73199391413001 & 3.27276819698142 \tabularnewline
0.56 & 3.28198909664516 & 3.22018618078934 \tabularnewline
0.57 & 3.82553881216824 & 3.17188114853318 \tabularnewline
0.58 & 4.36445237919433 & 3.13108934572777 \tabularnewline
0.59 & 4.90135904489021 & 3.10283218611907 \tabularnewline
0.6 & 5.43989711012258 & 3.09398880125433 \tabularnewline
0.61 & 5.98485757463645 & 3.11283379178577 \tabularnewline
0.62 & 6.5422322634213 & 3.16809060936483 \tabularnewline
0.63 & 7.11912340049867 & 3.26755074686096 \tabularnewline
0.64 & 7.72348714780328 & 3.41647828554181 \tabularnewline
0.65 & 8.3637060137768 & 3.61617189411152 \tabularnewline
0.66 & 9.04801153812028 & 3.86322238771275 \tabularnewline
0.67 & 9.78380579154799 & 4.14926621413131 \tabularnewline
0.68 & 10.5769539903487 & 4.46148250429958 \tabularnewline
0.69 & 11.4311367024188 & 4.78364579899676 \tabularnewline
0.7 & 12.3473547642168 & 5.09747133992816 \tabularnewline
0.71 & 13.3236701645742 & 5.3843309800629 \tabularnewline
0.72 & 14.3552407015634 & 5.62713186565819 \tabularnewline
0.73 & 15.4346668955944 & 5.81212759074072 \tabularnewline
0.74 & 16.5526214781154 & 5.93046042860372 \tabularnewline
0.75 & 17.6986828940632 & 5.97912828565096 \tabularnewline
0.76 & 18.8622546769314 & 5.96104023984616 \tabularnewline
0.77 & 20.0334321698725 & 5.88433469153264 \tabularnewline
0.78 & 21.2036843141043 & 5.76080117853342 \tabularnewline
0.79 & 22.3662542014374 & 5.60361157022966 \tabularnewline
0.8 & 23.5162456199134 & 5.42516789762479 \tabularnewline
0.81 & 24.6504464321294 & 5.23517827945067 \tabularnewline
0.82 & 25.7670305000579 & 5.03958221190069 \tabularnewline
0.83 & 26.8653587548210 & 4.84103491871982 \tabularnewline
0.84 & 27.9461391513334 & 4.64060349872689 \tabularnewline
0.85 & 29.0121684763589 & 4.44096234169308 \tabularnewline
0.86 & 30.0697306710974 & 4.25039252501735 \tabularnewline
0.87 & 31.130456510248 & 4.0867878303686 \tabularnewline
0.88 & 32.2131138584666 & 3.97930186182414 \tabularnewline
0.89 & 33.3445500593259 & 3.96407399296947 \tabularnewline
0.9 & 34.5590751030872 & 4.0699408823825 \tabularnewline
0.91 & 35.8961195758684 & 4.29840017208998 \tabularnewline
0.92 & 37.3968845453779 & 4.61399849273703 \tabularnewline
0.93 & 39.1012722320999 & 4.95862893693227 \tabularnewline
0.94 & 41.0455609655832 & 5.28091163563525 \tabularnewline
0.95 & 43.2580343051473 & 5.55075257188435 \tabularnewline
0.96 & 45.7440260306215 & 5.73062296551194 \tabularnewline
0.97 & 48.4465355322546 & 5.73426219059951 \tabularnewline
0.98 & 51.1748756916346 & 5.49048634125333 \tabularnewline
0.99 & 53.5364072467818 & 5.128398155856 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50247&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]-33.718475012495[/C][C]4.9562074499971[/C][/ROW]
[ROW][C]0.02[/C][C]-31.9328001134034[/C][C]3.74386227654522[/C][/ROW]
[ROW][C]0.03[/C][C]-30.1992973970199[/C][C]2.77223382041574[/C][/ROW]
[ROW][C]0.04[/C][C]-28.7661577097517[/C][C]2.26125705551982[/C][/ROW]
[ROW][C]0.05[/C][C]-27.628084469318[/C][C]2.12740610579817[/C][/ROW]
[ROW][C]0.06[/C][C]-26.6872619925296[/C][C]2.17154878647458[/C][/ROW]
[ROW][C]0.07[/C][C]-25.8534510474562[/C][C]2.26329486935959[/C][/ROW]
[ROW][C]0.08[/C][C]-25.071221149967[/C][C]2.35982987151721[/C][/ROW]
[ROW][C]0.09[/C][C]-24.3123158627493[/C][C]2.46337461589761[/C][/ROW]
[ROW][C]0.1[/C][C]-23.5621252372332[/C][C]2.58870417730494[/C][/ROW]
[ROW][C]0.11[/C][C]-22.8111209739427[/C][C]2.74469215395039[/C][/ROW]
[ROW][C]0.12[/C][C]-22.0518858782039[/C][C]2.92741834773301[/C][/ROW]
[ROW][C]0.13[/C][C]-21.2793242089948[/C][C]3.12100371024221[/C][/ROW]
[ROW][C]0.14[/C][C]-20.4918082299471[/C][C]3.30268022682143[/C][/ROW]
[ROW][C]0.15[/C][C]-19.6919522643025[/C][C]3.44880348501368[/C][/ROW]
[ROW][C]0.16[/C][C]-18.8865140995763[/C][C]3.53971780308212[/C][/ROW]
[ROW][C]0.17[/C][C]-18.0854376288915[/C][C]3.56344162746488[/C][/ROW]
[ROW][C]0.18[/C][C]-17.3003181437557[/C][C]3.51711338521616[/C][/ROW]
[ROW][C]0.19[/C][C]-16.5426658017728[/C][C]3.40689703516924[/C][/ROW]
[ROW][C]0.2[/C][C]-15.8223208342031[/C][C]3.24617544366756[/C][/ROW]
[ROW][C]0.21[/C][C]-15.1462806957299[/C][C]3.05315507680135[/C][/ROW]
[ROW][C]0.22[/C][C]-14.5180733244280[/C][C]2.84781026909383[/C][/ROW]
[ROW][C]0.23[/C][C]-13.9376856574856[/C][C]2.64926897644817[/C][/ROW]
[ROW][C]0.24[/C][C]-13.4019578336465[/C][C]2.4736958521528[/C][/ROW]
[ROW][C]0.25[/C][C]-12.9052946666349[/C][C]2.33279268825533[/C][/ROW]
[ROW][C]0.26[/C][C]-12.4405283591506[/C][C]2.23314170735726[/C][/ROW]
[ROW][C]0.27[/C][C]-11.9997820660756[/C][C]2.17621220798685[/C][/ROW]
[ROW][C]0.28[/C][C]-11.575220209431[/C][C]2.15913531244987[/C][/ROW]
[ROW][C]0.29[/C][C]-11.1596157636858[/C][C]2.17610949396234[/C][/ROW]
[ROW][C]0.3[/C][C]-10.7467074027240[/C][C]2.21995755660067[/C][/ROW]
[ROW][C]0.31[/C][C]-10.3313547162776[/C][C]2.28361997854331[/C][/ROW]
[ROW][C]0.32[/C][C]-9.90952532338014[/C][C]2.36112262726261[/C][/ROW]
[ROW][C]0.33[/C][C]-9.47816338178492[/C][C]2.44811223871185[/C][/ROW]
[ROW][C]0.34[/C][C]-9.03499536664096[/C][C]2.54195593453679[/C][/ROW]
[ROW][C]0.35[/C][C]-8.578326980993[/C][C]2.64142310337522[/C][/ROW]
[ROW][C]0.36[/C][C]-8.10687577537996[/C][C]2.74611936686058[/C][/ROW]
[ROW][C]0.37[/C][C]-7.6196690698775[/C][C]2.8557832258318[/C][/ROW]
[ROW][C]0.38[/C][C]-7.11601838260241[/C][C]2.96961595145474[/C][/ROW]
[ROW][C]0.39[/C][C]-6.59556276007749[/C][C]3.08575840090355[/C][/ROW]
[ROW][C]0.4[/C][C]-6.05835747052942[/C][C]3.20113113014027[/C][/ROW]
[ROW][C]0.41[/C][C]-5.50497441229642[/C][C]3.31156142099033[/C][/ROW]
[ROW][C]0.42[/C][C]-4.93657821287712[/C][C]3.41227735602648[/C][/ROW]
[ROW][C]0.43[/C][C]-4.35494769376877[/C][C]3.49852494580860[/C][/ROW]
[ROW][C]0.44[/C][C]-3.76242477226519[/C][C]3.56624986726994[/C][/ROW]
[ROW][C]0.45[/C][C]-3.16178911891511[/C][C]3.61271631715983[/C][/ROW]
[ROW][C]0.46[/C][C]-2.55607329912534[/C][C]3.63686675012713[/C][/ROW]
[ROW][C]0.47[/C][C]-1.94834599558418[/C][C]3.63945591678157[/C][/ROW]
[ROW][C]0.48[/C][C]-1.34149735411147[/C][C]3.62284785991731[/C][/ROW]
[ROW][C]0.49[/C][C]-0.738059110394672[/C][C]3.59061229660825[/C][/ROW]
[ROW][C]0.5[/C][C]-0.140083313799050[/C][C]3.5468805385886[/C][/ROW]
[ROW][C]0.51[/C][C]0.450910766167934[/C][C]3.49572798108111[/C][/ROW]
[ROW][C]0.52[/C][C]1.03392829691670[/C][C]3.44061505049203[/C][/ROW]
[ROW][C]0.53[/C][C]1.60845051179951[/C][C]3.38408504080942[/C][/ROW]
[ROW][C]0.54[/C][C]2.1743772978238[/C][C]3.32777648741392[/C][/ROW]
[ROW][C]0.55[/C][C]2.73199391413001[/C][C]3.27276819698142[/C][/ROW]
[ROW][C]0.56[/C][C]3.28198909664516[/C][C]3.22018618078934[/C][/ROW]
[ROW][C]0.57[/C][C]3.82553881216824[/C][C]3.17188114853318[/C][/ROW]
[ROW][C]0.58[/C][C]4.36445237919433[/C][C]3.13108934572777[/C][/ROW]
[ROW][C]0.59[/C][C]4.90135904489021[/C][C]3.10283218611907[/C][/ROW]
[ROW][C]0.6[/C][C]5.43989711012258[/C][C]3.09398880125433[/C][/ROW]
[ROW][C]0.61[/C][C]5.98485757463645[/C][C]3.11283379178577[/C][/ROW]
[ROW][C]0.62[/C][C]6.5422322634213[/C][C]3.16809060936483[/C][/ROW]
[ROW][C]0.63[/C][C]7.11912340049867[/C][C]3.26755074686096[/C][/ROW]
[ROW][C]0.64[/C][C]7.72348714780328[/C][C]3.41647828554181[/C][/ROW]
[ROW][C]0.65[/C][C]8.3637060137768[/C][C]3.61617189411152[/C][/ROW]
[ROW][C]0.66[/C][C]9.04801153812028[/C][C]3.86322238771275[/C][/ROW]
[ROW][C]0.67[/C][C]9.78380579154799[/C][C]4.14926621413131[/C][/ROW]
[ROW][C]0.68[/C][C]10.5769539903487[/C][C]4.46148250429958[/C][/ROW]
[ROW][C]0.69[/C][C]11.4311367024188[/C][C]4.78364579899676[/C][/ROW]
[ROW][C]0.7[/C][C]12.3473547642168[/C][C]5.09747133992816[/C][/ROW]
[ROW][C]0.71[/C][C]13.3236701645742[/C][C]5.3843309800629[/C][/ROW]
[ROW][C]0.72[/C][C]14.3552407015634[/C][C]5.62713186565819[/C][/ROW]
[ROW][C]0.73[/C][C]15.4346668955944[/C][C]5.81212759074072[/C][/ROW]
[ROW][C]0.74[/C][C]16.5526214781154[/C][C]5.93046042860372[/C][/ROW]
[ROW][C]0.75[/C][C]17.6986828940632[/C][C]5.97912828565096[/C][/ROW]
[ROW][C]0.76[/C][C]18.8622546769314[/C][C]5.96104023984616[/C][/ROW]
[ROW][C]0.77[/C][C]20.0334321698725[/C][C]5.88433469153264[/C][/ROW]
[ROW][C]0.78[/C][C]21.2036843141043[/C][C]5.76080117853342[/C][/ROW]
[ROW][C]0.79[/C][C]22.3662542014374[/C][C]5.60361157022966[/C][/ROW]
[ROW][C]0.8[/C][C]23.5162456199134[/C][C]5.42516789762479[/C][/ROW]
[ROW][C]0.81[/C][C]24.6504464321294[/C][C]5.23517827945067[/C][/ROW]
[ROW][C]0.82[/C][C]25.7670305000579[/C][C]5.03958221190069[/C][/ROW]
[ROW][C]0.83[/C][C]26.8653587548210[/C][C]4.84103491871982[/C][/ROW]
[ROW][C]0.84[/C][C]27.9461391513334[/C][C]4.64060349872689[/C][/ROW]
[ROW][C]0.85[/C][C]29.0121684763589[/C][C]4.44096234169308[/C][/ROW]
[ROW][C]0.86[/C][C]30.0697306710974[/C][C]4.25039252501735[/C][/ROW]
[ROW][C]0.87[/C][C]31.130456510248[/C][C]4.0867878303686[/C][/ROW]
[ROW][C]0.88[/C][C]32.2131138584666[/C][C]3.97930186182414[/C][/ROW]
[ROW][C]0.89[/C][C]33.3445500593259[/C][C]3.96407399296947[/C][/ROW]
[ROW][C]0.9[/C][C]34.5590751030872[/C][C]4.0699408823825[/C][/ROW]
[ROW][C]0.91[/C][C]35.8961195758684[/C][C]4.29840017208998[/C][/ROW]
[ROW][C]0.92[/C][C]37.3968845453779[/C][C]4.61399849273703[/C][/ROW]
[ROW][C]0.93[/C][C]39.1012722320999[/C][C]4.95862893693227[/C][/ROW]
[ROW][C]0.94[/C][C]41.0455609655832[/C][C]5.28091163563525[/C][/ROW]
[ROW][C]0.95[/C][C]43.2580343051473[/C][C]5.55075257188435[/C][/ROW]
[ROW][C]0.96[/C][C]45.7440260306215[/C][C]5.73062296551194[/C][/ROW]
[ROW][C]0.97[/C][C]48.4465355322546[/C][C]5.73426219059951[/C][/ROW]
[ROW][C]0.98[/C][C]51.1748756916346[/C][C]5.49048634125333[/C][/ROW]
[ROW][C]0.99[/C][C]53.5364072467818[/C][C]5.128398155856[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50247&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50247&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
0.01-33.7184750124954.9562074499971
0.02-31.93280011340343.74386227654522
0.03-30.19929739701992.77223382041574
0.04-28.76615770975172.26125705551982
0.05-27.6280844693182.12740610579817
0.06-26.68726199252962.17154878647458
0.07-25.85345104745622.26329486935959
0.08-25.0712211499672.35982987151721
0.09-24.31231586274932.46337461589761
0.1-23.56212523723322.58870417730494
0.11-22.81112097394272.74469215395039
0.12-22.05188587820392.92741834773301
0.13-21.27932420899483.12100371024221
0.14-20.49180822994713.30268022682143
0.15-19.69195226430253.44880348501368
0.16-18.88651409957633.53971780308212
0.17-18.08543762889153.56344162746488
0.18-17.30031814375573.51711338521616
0.19-16.54266580177283.40689703516924
0.2-15.82232083420313.24617544366756
0.21-15.14628069572993.05315507680135
0.22-14.51807332442802.84781026909383
0.23-13.93768565748562.64926897644817
0.24-13.40195783364652.4736958521528
0.25-12.90529466663492.33279268825533
0.26-12.44052835915062.23314170735726
0.27-11.99978206607562.17621220798685
0.28-11.5752202094312.15913531244987
0.29-11.15961576368582.17610949396234
0.3-10.74670740272402.21995755660067
0.31-10.33135471627762.28361997854331
0.32-9.909525323380142.36112262726261
0.33-9.478163381784922.44811223871185
0.34-9.034995366640962.54195593453679
0.35-8.5783269809932.64142310337522
0.36-8.106875775379962.74611936686058
0.37-7.61966906987752.8557832258318
0.38-7.116018382602412.96961595145474
0.39-6.595562760077493.08575840090355
0.4-6.058357470529423.20113113014027
0.41-5.504974412296423.31156142099033
0.42-4.936578212877123.41227735602648
0.43-4.354947693768773.49852494580860
0.44-3.762424772265193.56624986726994
0.45-3.161789118915113.61271631715983
0.46-2.556073299125343.63686675012713
0.47-1.948345995584183.63945591678157
0.48-1.341497354111473.62284785991731
0.49-0.7380591103946723.59061229660825
0.5-0.1400833137990503.5468805385886
0.510.4509107661679343.49572798108111
0.521.033928296916703.44061505049203
0.531.608450511799513.38408504080942
0.542.17437729782383.32777648741392
0.552.731993914130013.27276819698142
0.563.281989096645163.22018618078934
0.573.825538812168243.17188114853318
0.584.364452379194333.13108934572777
0.594.901359044890213.10283218611907
0.65.439897110122583.09398880125433
0.615.984857574636453.11283379178577
0.626.54223226342133.16809060936483
0.637.119123400498673.26755074686096
0.647.723487147803283.41647828554181
0.658.36370601377683.61617189411152
0.669.048011538120283.86322238771275
0.679.783805791547994.14926621413131
0.6810.57695399034874.46148250429958
0.6911.43113670241884.78364579899676
0.712.34735476421685.09747133992816
0.7113.32367016457425.3843309800629
0.7214.35524070156345.62713186565819
0.7315.43466689559445.81212759074072
0.7416.55262147811545.93046042860372
0.7517.69868289406325.97912828565096
0.7618.86225467693145.96104023984616
0.7720.03343216987255.88433469153264
0.7821.20368431410435.76080117853342
0.7922.36625420143745.60361157022966
0.823.51624561991345.42516789762479
0.8124.65044643212945.23517827945067
0.8225.76703050005795.03958221190069
0.8326.86535875482104.84103491871982
0.8427.94613915133344.64060349872689
0.8529.01216847635894.44096234169308
0.8630.06973067109744.25039252501735
0.8731.1304565102484.0867878303686
0.8832.21311385846663.97930186182414
0.8933.34455005932593.96407399296947
0.934.55907510308724.0699408823825
0.9135.89611957586844.29840017208998
0.9237.39688454537794.61399849273703
0.9339.10127223209994.95862893693227
0.9441.04556096558325.28091163563525
0.9543.25803430514735.55075257188435
0.9645.74402603062155.73062296551194
0.9748.44653553225465.73426219059951
0.9851.17487569163465.49048634125333
0.9953.53640724678185.128398155856


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')