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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 20 May 2011 01:53:33 +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/2011/May/20/t1305856358oiumk8h2kjqkg9y.htm/, Retrieved Mon, 13 May 2024 00:58:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=122352, Retrieved Mon, 13 May 2024 00:58:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact71
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2011-05-20 01:53:33] [25018b84afebffe8bc31ee5ed84cfeb9] [Current]
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Dataseries X:
1.4442
1.3999
1.3649
1.336
1.322
1.3661
1.3898
1.3067
1.2894
1.277
1.2208
1.2565
1.3406
1.3569
1.3686
1.4272
1.4614
1.4914
1.4816
1.4562
1.4268
1.4088
1.4016
1.365
1.319
1.305
1.2785
1.3239
1.3449
1.2732
1.3322
1.4369
1.4975
1.577
1.5553
1.5557
1.575
1.5527
1.4748
1.4718
1.457
1.4684
1.4227
1.3896
1.3622
1.3716
1.3419
1.3511
1.3516
1.3242
1.3074
1.2999
1.3213
1.2881
1.2611
1.2727
1.2811
1.2684
1.265
1.277
1.2271
1.202
1.1938
1.2103
1.1856
1.1786
1.2015
1.2256
1.2292
1.2037
1.2165
1.2694
1.2938
1.3201
1.3014




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' @ 216.218.223.82

\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' @ 216.218.223.82 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=122352&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' @ 216.218.223.82[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=122352&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=122352&T=0

As an alternative you can also use a 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' @ 216.218.223.82







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.18135305299350.00723544560270572
0.021.185758127011660.00788387906544788
0.031.190523267720340.00813184042895056
0.041.194941761195110.00788182179082097
0.051.1988501456390.00765728531260455
0.061.202365672170520.0079145614891255
0.071.205697339321620.00870452453146714
0.081.209038398520270.0098287411397127
0.091.212521583833590.0110989520443028
0.11.216218870901590.0124465736799855
0.111.220160523879360.0138594072692835
0.121.224351381051060.015310001106495
0.131.228775245468690.0167007847691521
0.141.233390574982190.0178654774753023
0.151.238126056131260.0186305167079209
0.161.242883104714910.0188611171897767
0.171.247547276119190.0185146221396826
0.181.252005672485670.0176406525462277
0.191.256164926562710.016375699011979
0.21.259964633243290.014899993728943
0.211.263383290259620.0134043023920493
0.221.266436522004310.0120528400659823
0.231.269169458541690.0109657724097037
0.241.271646095468790.0102114398105119
0.251.273938336213290.00980049473459796
0.261.276116635872690.00970402087425813
0.271.278243205455230.0098593605136736
0.281.280367939427770.0101948675528269
0.291.282526737357570.0106370620416476
0.31.284741680623110.0111229977451977
0.311.28702249974970.0116003043363987
0.321.289368827255920.0120257644036817
0.331.291772812485280.0123780825668553
0.341.294221756963360.0126441486428469
0.351.296700513418830.0128194715676105
0.361.299193484199410.0129088442692326
0.371.30168615158150.0129245703217756
0.381.304166158836580.0128797204992
0.391.306624018605020.0127883628151623
0.41.309053542060290.0126682274424006
0.411.31145205973680.0125362632922309
0.421.313820458159860.0124120553140188
0.431.316163009642830.0123164762856433
0.441.318486949140190.0122637256730221
0.451.320801765222010.0122659678727385
0.461.323118220261050.012336034526559
0.471.325447181778570.0124609940880242
0.481.32779840887750.0126391721568893
0.491.330179472726340.0128489137046869
0.51.332594985890080.0130669251418574
0.511.33504627330110.0132727173727734
0.521.337531550938760.0134496360349109
0.531.340046605308010.0135835357763885
0.541.342585903569390.0136701436725677
0.551.3451440184480.0137156947813296
0.561.347717222245030.013731738406335
0.571.350305083168510.0137373750224681
0.581.352911878595380.0137656380699326
0.591.355547624734760.0138503888074528
0.61.358228520848940.0140290614761139
0.611.360976635105320.0143366515536703
0.621.363818732600470.0147977365317032
0.631.366784266810280.0154214203000631
0.641.369902708307780.0162018104924389
0.651.373200536069640.0171015363655185
0.661.376698324886810.0180770898107239
0.671.380408389858190.0190728280120792
0.681.384333377038170.0200277225974178
0.691.388466026478370.0208875483043307
0.71.392790114491010.0216093801048455
0.711.39728235606290.0221649996996091
0.721.401914867396290.022543307805128
0.731.40665769276030.0227438070978548
0.741.411480911660740.0227785041782855
0.751.416355965613690.0226661399595734
0.761.421256064688130.0224225718961042
0.771.426155820046780.0220601069431605
0.781.43103054736330.0215823653845195
0.791.435855928637520.0209880307742759
0.81.440608838984460.0202782469242268
0.811.445270102156290.0194606464008634
0.821.449829747807950.0185676553661559
0.831.45429505919820.0176608017590167
0.841.458701344423190.0168471491050215
0.851.463124800846040.0162756442580529
0.861.467695671915470.0161467180018425
0.871.472607555214190.0166951003992053
0.881.478115037015660.0181425233361829
0.891.484508139548570.0205854784590992
0.91.492052405834440.0238540570853741
0.911.500894118711830.0273934954635027
0.921.510955154270330.0302628062051216
0.931.521873432867240.0313637618431132
0.941.53305470911820.0299285002909078
0.951.543850622536070.0260867842072191
0.961.553761539812460.0210431103483604
0.971.562471629936070.0162579263047665
0.981.569629956789740.011743093570435
0.991.574644193314710.00640174955233999

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.1813530529935 & 0.00723544560270572 \tabularnewline
0.02 & 1.18575812701166 & 0.00788387906544788 \tabularnewline
0.03 & 1.19052326772034 & 0.00813184042895056 \tabularnewline
0.04 & 1.19494176119511 & 0.00788182179082097 \tabularnewline
0.05 & 1.198850145639 & 0.00765728531260455 \tabularnewline
0.06 & 1.20236567217052 & 0.0079145614891255 \tabularnewline
0.07 & 1.20569733932162 & 0.00870452453146714 \tabularnewline
0.08 & 1.20903839852027 & 0.0098287411397127 \tabularnewline
0.09 & 1.21252158383359 & 0.0110989520443028 \tabularnewline
0.1 & 1.21621887090159 & 0.0124465736799855 \tabularnewline
0.11 & 1.22016052387936 & 0.0138594072692835 \tabularnewline
0.12 & 1.22435138105106 & 0.015310001106495 \tabularnewline
0.13 & 1.22877524546869 & 0.0167007847691521 \tabularnewline
0.14 & 1.23339057498219 & 0.0178654774753023 \tabularnewline
0.15 & 1.23812605613126 & 0.0186305167079209 \tabularnewline
0.16 & 1.24288310471491 & 0.0188611171897767 \tabularnewline
0.17 & 1.24754727611919 & 0.0185146221396826 \tabularnewline
0.18 & 1.25200567248567 & 0.0176406525462277 \tabularnewline
0.19 & 1.25616492656271 & 0.016375699011979 \tabularnewline
0.2 & 1.25996463324329 & 0.014899993728943 \tabularnewline
0.21 & 1.26338329025962 & 0.0134043023920493 \tabularnewline
0.22 & 1.26643652200431 & 0.0120528400659823 \tabularnewline
0.23 & 1.26916945854169 & 0.0109657724097037 \tabularnewline
0.24 & 1.27164609546879 & 0.0102114398105119 \tabularnewline
0.25 & 1.27393833621329 & 0.00980049473459796 \tabularnewline
0.26 & 1.27611663587269 & 0.00970402087425813 \tabularnewline
0.27 & 1.27824320545523 & 0.0098593605136736 \tabularnewline
0.28 & 1.28036793942777 & 0.0101948675528269 \tabularnewline
0.29 & 1.28252673735757 & 0.0106370620416476 \tabularnewline
0.3 & 1.28474168062311 & 0.0111229977451977 \tabularnewline
0.31 & 1.2870224997497 & 0.0116003043363987 \tabularnewline
0.32 & 1.28936882725592 & 0.0120257644036817 \tabularnewline
0.33 & 1.29177281248528 & 0.0123780825668553 \tabularnewline
0.34 & 1.29422175696336 & 0.0126441486428469 \tabularnewline
0.35 & 1.29670051341883 & 0.0128194715676105 \tabularnewline
0.36 & 1.29919348419941 & 0.0129088442692326 \tabularnewline
0.37 & 1.3016861515815 & 0.0129245703217756 \tabularnewline
0.38 & 1.30416615883658 & 0.0128797204992 \tabularnewline
0.39 & 1.30662401860502 & 0.0127883628151623 \tabularnewline
0.4 & 1.30905354206029 & 0.0126682274424006 \tabularnewline
0.41 & 1.3114520597368 & 0.0125362632922309 \tabularnewline
0.42 & 1.31382045815986 & 0.0124120553140188 \tabularnewline
0.43 & 1.31616300964283 & 0.0123164762856433 \tabularnewline
0.44 & 1.31848694914019 & 0.0122637256730221 \tabularnewline
0.45 & 1.32080176522201 & 0.0122659678727385 \tabularnewline
0.46 & 1.32311822026105 & 0.012336034526559 \tabularnewline
0.47 & 1.32544718177857 & 0.0124609940880242 \tabularnewline
0.48 & 1.3277984088775 & 0.0126391721568893 \tabularnewline
0.49 & 1.33017947272634 & 0.0128489137046869 \tabularnewline
0.5 & 1.33259498589008 & 0.0130669251418574 \tabularnewline
0.51 & 1.3350462733011 & 0.0132727173727734 \tabularnewline
0.52 & 1.33753155093876 & 0.0134496360349109 \tabularnewline
0.53 & 1.34004660530801 & 0.0135835357763885 \tabularnewline
0.54 & 1.34258590356939 & 0.0136701436725677 \tabularnewline
0.55 & 1.345144018448 & 0.0137156947813296 \tabularnewline
0.56 & 1.34771722224503 & 0.013731738406335 \tabularnewline
0.57 & 1.35030508316851 & 0.0137373750224681 \tabularnewline
0.58 & 1.35291187859538 & 0.0137656380699326 \tabularnewline
0.59 & 1.35554762473476 & 0.0138503888074528 \tabularnewline
0.6 & 1.35822852084894 & 0.0140290614761139 \tabularnewline
0.61 & 1.36097663510532 & 0.0143366515536703 \tabularnewline
0.62 & 1.36381873260047 & 0.0147977365317032 \tabularnewline
0.63 & 1.36678426681028 & 0.0154214203000631 \tabularnewline
0.64 & 1.36990270830778 & 0.0162018104924389 \tabularnewline
0.65 & 1.37320053606964 & 0.0171015363655185 \tabularnewline
0.66 & 1.37669832488681 & 0.0180770898107239 \tabularnewline
0.67 & 1.38040838985819 & 0.0190728280120792 \tabularnewline
0.68 & 1.38433337703817 & 0.0200277225974178 \tabularnewline
0.69 & 1.38846602647837 & 0.0208875483043307 \tabularnewline
0.7 & 1.39279011449101 & 0.0216093801048455 \tabularnewline
0.71 & 1.3972823560629 & 0.0221649996996091 \tabularnewline
0.72 & 1.40191486739629 & 0.022543307805128 \tabularnewline
0.73 & 1.4066576927603 & 0.0227438070978548 \tabularnewline
0.74 & 1.41148091166074 & 0.0227785041782855 \tabularnewline
0.75 & 1.41635596561369 & 0.0226661399595734 \tabularnewline
0.76 & 1.42125606468813 & 0.0224225718961042 \tabularnewline
0.77 & 1.42615582004678 & 0.0220601069431605 \tabularnewline
0.78 & 1.4310305473633 & 0.0215823653845195 \tabularnewline
0.79 & 1.43585592863752 & 0.0209880307742759 \tabularnewline
0.8 & 1.44060883898446 & 0.0202782469242268 \tabularnewline
0.81 & 1.44527010215629 & 0.0194606464008634 \tabularnewline
0.82 & 1.44982974780795 & 0.0185676553661559 \tabularnewline
0.83 & 1.4542950591982 & 0.0176608017590167 \tabularnewline
0.84 & 1.45870134442319 & 0.0168471491050215 \tabularnewline
0.85 & 1.46312480084604 & 0.0162756442580529 \tabularnewline
0.86 & 1.46769567191547 & 0.0161467180018425 \tabularnewline
0.87 & 1.47260755521419 & 0.0166951003992053 \tabularnewline
0.88 & 1.47811503701566 & 0.0181425233361829 \tabularnewline
0.89 & 1.48450813954857 & 0.0205854784590992 \tabularnewline
0.9 & 1.49205240583444 & 0.0238540570853741 \tabularnewline
0.91 & 1.50089411871183 & 0.0273934954635027 \tabularnewline
0.92 & 1.51095515427033 & 0.0302628062051216 \tabularnewline
0.93 & 1.52187343286724 & 0.0313637618431132 \tabularnewline
0.94 & 1.5330547091182 & 0.0299285002909078 \tabularnewline
0.95 & 1.54385062253607 & 0.0260867842072191 \tabularnewline
0.96 & 1.55376153981246 & 0.0210431103483604 \tabularnewline
0.97 & 1.56247162993607 & 0.0162579263047665 \tabularnewline
0.98 & 1.56962995678974 & 0.011743093570435 \tabularnewline
0.99 & 1.57464419331471 & 0.00640174955233999 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=122352&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]1.1813530529935[/C][C]0.00723544560270572[/C][/ROW]
[ROW][C]0.02[/C][C]1.18575812701166[/C][C]0.00788387906544788[/C][/ROW]
[ROW][C]0.03[/C][C]1.19052326772034[/C][C]0.00813184042895056[/C][/ROW]
[ROW][C]0.04[/C][C]1.19494176119511[/C][C]0.00788182179082097[/C][/ROW]
[ROW][C]0.05[/C][C]1.198850145639[/C][C]0.00765728531260455[/C][/ROW]
[ROW][C]0.06[/C][C]1.20236567217052[/C][C]0.0079145614891255[/C][/ROW]
[ROW][C]0.07[/C][C]1.20569733932162[/C][C]0.00870452453146714[/C][/ROW]
[ROW][C]0.08[/C][C]1.20903839852027[/C][C]0.0098287411397127[/C][/ROW]
[ROW][C]0.09[/C][C]1.21252158383359[/C][C]0.0110989520443028[/C][/ROW]
[ROW][C]0.1[/C][C]1.21621887090159[/C][C]0.0124465736799855[/C][/ROW]
[ROW][C]0.11[/C][C]1.22016052387936[/C][C]0.0138594072692835[/C][/ROW]
[ROW][C]0.12[/C][C]1.22435138105106[/C][C]0.015310001106495[/C][/ROW]
[ROW][C]0.13[/C][C]1.22877524546869[/C][C]0.0167007847691521[/C][/ROW]
[ROW][C]0.14[/C][C]1.23339057498219[/C][C]0.0178654774753023[/C][/ROW]
[ROW][C]0.15[/C][C]1.23812605613126[/C][C]0.0186305167079209[/C][/ROW]
[ROW][C]0.16[/C][C]1.24288310471491[/C][C]0.0188611171897767[/C][/ROW]
[ROW][C]0.17[/C][C]1.24754727611919[/C][C]0.0185146221396826[/C][/ROW]
[ROW][C]0.18[/C][C]1.25200567248567[/C][C]0.0176406525462277[/C][/ROW]
[ROW][C]0.19[/C][C]1.25616492656271[/C][C]0.016375699011979[/C][/ROW]
[ROW][C]0.2[/C][C]1.25996463324329[/C][C]0.014899993728943[/C][/ROW]
[ROW][C]0.21[/C][C]1.26338329025962[/C][C]0.0134043023920493[/C][/ROW]
[ROW][C]0.22[/C][C]1.26643652200431[/C][C]0.0120528400659823[/C][/ROW]
[ROW][C]0.23[/C][C]1.26916945854169[/C][C]0.0109657724097037[/C][/ROW]
[ROW][C]0.24[/C][C]1.27164609546879[/C][C]0.0102114398105119[/C][/ROW]
[ROW][C]0.25[/C][C]1.27393833621329[/C][C]0.00980049473459796[/C][/ROW]
[ROW][C]0.26[/C][C]1.27611663587269[/C][C]0.00970402087425813[/C][/ROW]
[ROW][C]0.27[/C][C]1.27824320545523[/C][C]0.0098593605136736[/C][/ROW]
[ROW][C]0.28[/C][C]1.28036793942777[/C][C]0.0101948675528269[/C][/ROW]
[ROW][C]0.29[/C][C]1.28252673735757[/C][C]0.0106370620416476[/C][/ROW]
[ROW][C]0.3[/C][C]1.28474168062311[/C][C]0.0111229977451977[/C][/ROW]
[ROW][C]0.31[/C][C]1.2870224997497[/C][C]0.0116003043363987[/C][/ROW]
[ROW][C]0.32[/C][C]1.28936882725592[/C][C]0.0120257644036817[/C][/ROW]
[ROW][C]0.33[/C][C]1.29177281248528[/C][C]0.0123780825668553[/C][/ROW]
[ROW][C]0.34[/C][C]1.29422175696336[/C][C]0.0126441486428469[/C][/ROW]
[ROW][C]0.35[/C][C]1.29670051341883[/C][C]0.0128194715676105[/C][/ROW]
[ROW][C]0.36[/C][C]1.29919348419941[/C][C]0.0129088442692326[/C][/ROW]
[ROW][C]0.37[/C][C]1.3016861515815[/C][C]0.0129245703217756[/C][/ROW]
[ROW][C]0.38[/C][C]1.30416615883658[/C][C]0.0128797204992[/C][/ROW]
[ROW][C]0.39[/C][C]1.30662401860502[/C][C]0.0127883628151623[/C][/ROW]
[ROW][C]0.4[/C][C]1.30905354206029[/C][C]0.0126682274424006[/C][/ROW]
[ROW][C]0.41[/C][C]1.3114520597368[/C][C]0.0125362632922309[/C][/ROW]
[ROW][C]0.42[/C][C]1.31382045815986[/C][C]0.0124120553140188[/C][/ROW]
[ROW][C]0.43[/C][C]1.31616300964283[/C][C]0.0123164762856433[/C][/ROW]
[ROW][C]0.44[/C][C]1.31848694914019[/C][C]0.0122637256730221[/C][/ROW]
[ROW][C]0.45[/C][C]1.32080176522201[/C][C]0.0122659678727385[/C][/ROW]
[ROW][C]0.46[/C][C]1.32311822026105[/C][C]0.012336034526559[/C][/ROW]
[ROW][C]0.47[/C][C]1.32544718177857[/C][C]0.0124609940880242[/C][/ROW]
[ROW][C]0.48[/C][C]1.3277984088775[/C][C]0.0126391721568893[/C][/ROW]
[ROW][C]0.49[/C][C]1.33017947272634[/C][C]0.0128489137046869[/C][/ROW]
[ROW][C]0.5[/C][C]1.33259498589008[/C][C]0.0130669251418574[/C][/ROW]
[ROW][C]0.51[/C][C]1.3350462733011[/C][C]0.0132727173727734[/C][/ROW]
[ROW][C]0.52[/C][C]1.33753155093876[/C][C]0.0134496360349109[/C][/ROW]
[ROW][C]0.53[/C][C]1.34004660530801[/C][C]0.0135835357763885[/C][/ROW]
[ROW][C]0.54[/C][C]1.34258590356939[/C][C]0.0136701436725677[/C][/ROW]
[ROW][C]0.55[/C][C]1.345144018448[/C][C]0.0137156947813296[/C][/ROW]
[ROW][C]0.56[/C][C]1.34771722224503[/C][C]0.013731738406335[/C][/ROW]
[ROW][C]0.57[/C][C]1.35030508316851[/C][C]0.0137373750224681[/C][/ROW]
[ROW][C]0.58[/C][C]1.35291187859538[/C][C]0.0137656380699326[/C][/ROW]
[ROW][C]0.59[/C][C]1.35554762473476[/C][C]0.0138503888074528[/C][/ROW]
[ROW][C]0.6[/C][C]1.35822852084894[/C][C]0.0140290614761139[/C][/ROW]
[ROW][C]0.61[/C][C]1.36097663510532[/C][C]0.0143366515536703[/C][/ROW]
[ROW][C]0.62[/C][C]1.36381873260047[/C][C]0.0147977365317032[/C][/ROW]
[ROW][C]0.63[/C][C]1.36678426681028[/C][C]0.0154214203000631[/C][/ROW]
[ROW][C]0.64[/C][C]1.36990270830778[/C][C]0.0162018104924389[/C][/ROW]
[ROW][C]0.65[/C][C]1.37320053606964[/C][C]0.0171015363655185[/C][/ROW]
[ROW][C]0.66[/C][C]1.37669832488681[/C][C]0.0180770898107239[/C][/ROW]
[ROW][C]0.67[/C][C]1.38040838985819[/C][C]0.0190728280120792[/C][/ROW]
[ROW][C]0.68[/C][C]1.38433337703817[/C][C]0.0200277225974178[/C][/ROW]
[ROW][C]0.69[/C][C]1.38846602647837[/C][C]0.0208875483043307[/C][/ROW]
[ROW][C]0.7[/C][C]1.39279011449101[/C][C]0.0216093801048455[/C][/ROW]
[ROW][C]0.71[/C][C]1.3972823560629[/C][C]0.0221649996996091[/C][/ROW]
[ROW][C]0.72[/C][C]1.40191486739629[/C][C]0.022543307805128[/C][/ROW]
[ROW][C]0.73[/C][C]1.4066576927603[/C][C]0.0227438070978548[/C][/ROW]
[ROW][C]0.74[/C][C]1.41148091166074[/C][C]0.0227785041782855[/C][/ROW]
[ROW][C]0.75[/C][C]1.41635596561369[/C][C]0.0226661399595734[/C][/ROW]
[ROW][C]0.76[/C][C]1.42125606468813[/C][C]0.0224225718961042[/C][/ROW]
[ROW][C]0.77[/C][C]1.42615582004678[/C][C]0.0220601069431605[/C][/ROW]
[ROW][C]0.78[/C][C]1.4310305473633[/C][C]0.0215823653845195[/C][/ROW]
[ROW][C]0.79[/C][C]1.43585592863752[/C][C]0.0209880307742759[/C][/ROW]
[ROW][C]0.8[/C][C]1.44060883898446[/C][C]0.0202782469242268[/C][/ROW]
[ROW][C]0.81[/C][C]1.44527010215629[/C][C]0.0194606464008634[/C][/ROW]
[ROW][C]0.82[/C][C]1.44982974780795[/C][C]0.0185676553661559[/C][/ROW]
[ROW][C]0.83[/C][C]1.4542950591982[/C][C]0.0176608017590167[/C][/ROW]
[ROW][C]0.84[/C][C]1.45870134442319[/C][C]0.0168471491050215[/C][/ROW]
[ROW][C]0.85[/C][C]1.46312480084604[/C][C]0.0162756442580529[/C][/ROW]
[ROW][C]0.86[/C][C]1.46769567191547[/C][C]0.0161467180018425[/C][/ROW]
[ROW][C]0.87[/C][C]1.47260755521419[/C][C]0.0166951003992053[/C][/ROW]
[ROW][C]0.88[/C][C]1.47811503701566[/C][C]0.0181425233361829[/C][/ROW]
[ROW][C]0.89[/C][C]1.48450813954857[/C][C]0.0205854784590992[/C][/ROW]
[ROW][C]0.9[/C][C]1.49205240583444[/C][C]0.0238540570853741[/C][/ROW]
[ROW][C]0.91[/C][C]1.50089411871183[/C][C]0.0273934954635027[/C][/ROW]
[ROW][C]0.92[/C][C]1.51095515427033[/C][C]0.0302628062051216[/C][/ROW]
[ROW][C]0.93[/C][C]1.52187343286724[/C][C]0.0313637618431132[/C][/ROW]
[ROW][C]0.94[/C][C]1.5330547091182[/C][C]0.0299285002909078[/C][/ROW]
[ROW][C]0.95[/C][C]1.54385062253607[/C][C]0.0260867842072191[/C][/ROW]
[ROW][C]0.96[/C][C]1.55376153981246[/C][C]0.0210431103483604[/C][/ROW]
[ROW][C]0.97[/C][C]1.56247162993607[/C][C]0.0162579263047665[/C][/ROW]
[ROW][C]0.98[/C][C]1.56962995678974[/C][C]0.011743093570435[/C][/ROW]
[ROW][C]0.99[/C][C]1.57464419331471[/C][C]0.00640174955233999[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=122352&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=122352&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.18135305299350.00723544560270572
0.021.185758127011660.00788387906544788
0.031.190523267720340.00813184042895056
0.041.194941761195110.00788182179082097
0.051.1988501456390.00765728531260455
0.061.202365672170520.0079145614891255
0.071.205697339321620.00870452453146714
0.081.209038398520270.0098287411397127
0.091.212521583833590.0110989520443028
0.11.216218870901590.0124465736799855
0.111.220160523879360.0138594072692835
0.121.224351381051060.015310001106495
0.131.228775245468690.0167007847691521
0.141.233390574982190.0178654774753023
0.151.238126056131260.0186305167079209
0.161.242883104714910.0188611171897767
0.171.247547276119190.0185146221396826
0.181.252005672485670.0176406525462277
0.191.256164926562710.016375699011979
0.21.259964633243290.014899993728943
0.211.263383290259620.0134043023920493
0.221.266436522004310.0120528400659823
0.231.269169458541690.0109657724097037
0.241.271646095468790.0102114398105119
0.251.273938336213290.00980049473459796
0.261.276116635872690.00970402087425813
0.271.278243205455230.0098593605136736
0.281.280367939427770.0101948675528269
0.291.282526737357570.0106370620416476
0.31.284741680623110.0111229977451977
0.311.28702249974970.0116003043363987
0.321.289368827255920.0120257644036817
0.331.291772812485280.0123780825668553
0.341.294221756963360.0126441486428469
0.351.296700513418830.0128194715676105
0.361.299193484199410.0129088442692326
0.371.30168615158150.0129245703217756
0.381.304166158836580.0128797204992
0.391.306624018605020.0127883628151623
0.41.309053542060290.0126682274424006
0.411.31145205973680.0125362632922309
0.421.313820458159860.0124120553140188
0.431.316163009642830.0123164762856433
0.441.318486949140190.0122637256730221
0.451.320801765222010.0122659678727385
0.461.323118220261050.012336034526559
0.471.325447181778570.0124609940880242
0.481.32779840887750.0126391721568893
0.491.330179472726340.0128489137046869
0.51.332594985890080.0130669251418574
0.511.33504627330110.0132727173727734
0.521.337531550938760.0134496360349109
0.531.340046605308010.0135835357763885
0.541.342585903569390.0136701436725677
0.551.3451440184480.0137156947813296
0.561.347717222245030.013731738406335
0.571.350305083168510.0137373750224681
0.581.352911878595380.0137656380699326
0.591.355547624734760.0138503888074528
0.61.358228520848940.0140290614761139
0.611.360976635105320.0143366515536703
0.621.363818732600470.0147977365317032
0.631.366784266810280.0154214203000631
0.641.369902708307780.0162018104924389
0.651.373200536069640.0171015363655185
0.661.376698324886810.0180770898107239
0.671.380408389858190.0190728280120792
0.681.384333377038170.0200277225974178
0.691.388466026478370.0208875483043307
0.71.392790114491010.0216093801048455
0.711.39728235606290.0221649996996091
0.721.401914867396290.022543307805128
0.731.40665769276030.0227438070978548
0.741.411480911660740.0227785041782855
0.751.416355965613690.0226661399595734
0.761.421256064688130.0224225718961042
0.771.426155820046780.0220601069431605
0.781.43103054736330.0215823653845195
0.791.435855928637520.0209880307742759
0.81.440608838984460.0202782469242268
0.811.445270102156290.0194606464008634
0.821.449829747807950.0185676553661559
0.831.45429505919820.0176608017590167
0.841.458701344423190.0168471491050215
0.851.463124800846040.0162756442580529
0.861.467695671915470.0161467180018425
0.871.472607555214190.0166951003992053
0.881.478115037015660.0181425233361829
0.891.484508139548570.0205854784590992
0.91.492052405834440.0238540570853741
0.911.500894118711830.0273934954635027
0.921.510955154270330.0302628062051216
0.931.521873432867240.0313637618431132
0.941.53305470911820.0299285002909078
0.951.543850622536070.0260867842072191
0.961.553761539812460.0210431103483604
0.971.562471629936070.0162579263047665
0.981.569629956789740.011743093570435
0.991.574644193314710.00640174955233999



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')