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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 29 Nov 2007 02:32:32 -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/2007/Nov/29/t1196328716pfgs96nnrgwuc48.htm/, Retrieved Fri, 03 May 2024 05:41:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7311, Retrieved Fri, 03 May 2024 05:41:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact226

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] [fg] [2007-11-29 09:32:32] [fa77851485501f69e030fcd6dbd2de67] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.9383
0.9217
0.9095
0.892
0.8742
0.8532
0.8607
0.9005
0.9111
0.9059
0.8883
0.8924
0.8833
0.87
0.8758
0.8858
0.917
0.9554
0.9922
0.9778
0.9808
0.9811
1.0014
1.0183
1.0622
1.0773
1.0807
1.0848
1.1582
1.1663
1.1372
1.1139
1.1222
1.1692
1.1702
1.2286
1.2613
1.2646
1.2262
1.1985
1.2007
1.2138
1.2266
1.2176
1.2218
1.249
1.2991
1.3408
1.3119
1.3014
1.3201
1.2938
1.2694
1.2165
1.2037
1.2292
1.2256
1.2015
1.1786
1.1856
1.2103
1.1938
1.202
1.2271
1.277
1.265
1.2684
1.2811
1.2727
1.2611
1.2881
1.3213
1.2999
1.3074
1.3242
1.3516
1.3511
1.3419
1.3716
1.3622
1.3896

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7311&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7311&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7311&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.8564272175442710.00767680019730072
0.020.8614416760919480.008042343617592
0.030.8665854154994190.007921349480403
0.040.8711475041223040.00758383932179219
0.050.8750890510348850.0074677623537571
0.060.8785893910666540.00760442670130933
0.070.8818276992606710.00787427213985379
0.080.8849330686015520.00826195169435004
0.090.888000744970850.00883943414734144
0.10.8911155934908960.00967650386056595
0.110.8943628869792870.0108049973020587
0.120.8978291219953030.0122367480983308
0.130.901600547096210.0139992942290239
0.140.9057624953524280.0161311902179448
0.150.9103977927564590.0186542575656197
0.160.9155817218192410.0215315431662575
0.170.9213735254328290.0246617668176698
0.180.927807462065990.0278945886237967
0.190.9348876629923930.0310710061722917
0.20.9425897873864870.0340735080680524
0.210.9508695423141560.0368506989364933
0.220.9596751249702230.0394309773153810
0.230.9689590031051570.0418888602638133
0.240.9786848257030050.0443107541282089
0.250.9888273235779110.0467392838561276
0.260.9993658022366770.0491521716168872
0.271.010274077771170.0514522826606909
0.281.021510652751150.053498834154552
0.291.033012402452190.055141222562847
0.31.044693471832990.0562539165508478
0.311.056449222265940.0567563142503765
0.321.068163630508900.0566226966133515
0.331.079717938697060.0558739153973117
0.341.090998590396590.0545614111714678
0.351.101903259250300.052755020270267
0.361.112344660626960.0505291028049647
0.371.122252487115490.0479645197671902
0.381.131574072270170.0451395648893929
0.391.140274310002180.0421367704084822
0.41.148335108484660.0390399604574236
0.411.155754421900220.0359285747115295
0.421.162544796469040.0328836209888414
0.431.168731404690610.0299678128043809
0.441.174349661228550.0272368566091217
0.451.179442626340210.024722355543434
0.461.184058443218900.0224481646051088
0.471.188248010284340.0204236441503551
0.481.192062992318760.0186530472912395
0.491.195554181357390.0171266824607183
0.51.198770175397090.0158394589996654
0.511.201756363967480.0147723016596417
0.521.204554271472710.0139069616074974
0.531.207201365307120.0132189905412521
0.541.209731438126710.0126880899098008
0.551.212175594820400.0122958477901749
0.561.214563720652360.0120391178526377
0.571.216926117883020.0119236011725625
0.581.219294837407030.0119688807475145
0.591.221704167793590.0121959497345513
0.61.224189828020810.0126204606967157
0.611.226786657379980.0132346922813896
0.621.229524973096730.0140085241743926
0.631.232426190535940.0148741689798352
0.641.235498655035380.0157454052907175
0.651.238734795847110.0165227787818561
0.661.242110592459530.0171129691421680
0.671.245587923390950.0174419441270982
0.681.249119719947140.0174732918654092
0.691.252657128064410.0172193499094169
0.71.256157290350260.0167286843868372
0.711.259590082728830.0160923850481285
0.721.262942284432300.0154206040870573
0.731.266218218807980.0148088307935295
0.741.269436747206540.0143400148345029
0.751.272625412958770.0140450871651477
0.761.275813271389590.0139079016350406
0.771.279024294727860.0138756733384081
0.781.282273089233300.0138762941488766
0.791.285564017675430.0138463135231791
0.81.288893840280080.0137454631062475
0.811.292256954592920.0135706354306807
0.821.295651571060250.0133496631559228
0.831.299084981682650.0131370671298535
0.841.30257651899580.0129896803576921
0.851.306157601061210.0129504161267083
0.861.309868921907590.0130384595607158
0.871.313754978519560.0132490741390210
0.881.317855873196770.0135500527353029
0.891.322196593470610.0138752870931899
0.91.326775921927080.0141102922684429
0.911.331560939712890.0141107539114495
0.921.336496567728390.0137603882032946
0.931.341538321133750.0130614095724139
0.941.346707348946030.0122088745390510
0.951.352154225716330.011561176117664
0.961.358209743529650.0114391577906346
0.971.365366751483380.0119260678706581
0.981.373964645957050.0131407406117499
0.991.383139455963820.0154228516873521

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.856427217544271 & 0.00767680019730072 \tabularnewline
0.02 & 0.861441676091948 & 0.008042343617592 \tabularnewline
0.03 & 0.866585415499419 & 0.007921349480403 \tabularnewline
0.04 & 0.871147504122304 & 0.00758383932179219 \tabularnewline
0.05 & 0.875089051034885 & 0.0074677623537571 \tabularnewline
0.06 & 0.878589391066654 & 0.00760442670130933 \tabularnewline
0.07 & 0.881827699260671 & 0.00787427213985379 \tabularnewline
0.08 & 0.884933068601552 & 0.00826195169435004 \tabularnewline
0.09 & 0.88800074497085 & 0.00883943414734144 \tabularnewline
0.1 & 0.891115593490896 & 0.00967650386056595 \tabularnewline
0.11 & 0.894362886979287 & 0.0108049973020587 \tabularnewline
0.12 & 0.897829121995303 & 0.0122367480983308 \tabularnewline
0.13 & 0.90160054709621 & 0.0139992942290239 \tabularnewline
0.14 & 0.905762495352428 & 0.0161311902179448 \tabularnewline
0.15 & 0.910397792756459 & 0.0186542575656197 \tabularnewline
0.16 & 0.915581721819241 & 0.0215315431662575 \tabularnewline
0.17 & 0.921373525432829 & 0.0246617668176698 \tabularnewline
0.18 & 0.92780746206599 & 0.0278945886237967 \tabularnewline
0.19 & 0.934887662992393 & 0.0310710061722917 \tabularnewline
0.2 & 0.942589787386487 & 0.0340735080680524 \tabularnewline
0.21 & 0.950869542314156 & 0.0368506989364933 \tabularnewline
0.22 & 0.959675124970223 & 0.0394309773153810 \tabularnewline
0.23 & 0.968959003105157 & 0.0418888602638133 \tabularnewline
0.24 & 0.978684825703005 & 0.0443107541282089 \tabularnewline
0.25 & 0.988827323577911 & 0.0467392838561276 \tabularnewline
0.26 & 0.999365802236677 & 0.0491521716168872 \tabularnewline
0.27 & 1.01027407777117 & 0.0514522826606909 \tabularnewline
0.28 & 1.02151065275115 & 0.053498834154552 \tabularnewline
0.29 & 1.03301240245219 & 0.055141222562847 \tabularnewline
0.3 & 1.04469347183299 & 0.0562539165508478 \tabularnewline
0.31 & 1.05644922226594 & 0.0567563142503765 \tabularnewline
0.32 & 1.06816363050890 & 0.0566226966133515 \tabularnewline
0.33 & 1.07971793869706 & 0.0558739153973117 \tabularnewline
0.34 & 1.09099859039659 & 0.0545614111714678 \tabularnewline
0.35 & 1.10190325925030 & 0.052755020270267 \tabularnewline
0.36 & 1.11234466062696 & 0.0505291028049647 \tabularnewline
0.37 & 1.12225248711549 & 0.0479645197671902 \tabularnewline
0.38 & 1.13157407227017 & 0.0451395648893929 \tabularnewline
0.39 & 1.14027431000218 & 0.0421367704084822 \tabularnewline
0.4 & 1.14833510848466 & 0.0390399604574236 \tabularnewline
0.41 & 1.15575442190022 & 0.0359285747115295 \tabularnewline
0.42 & 1.16254479646904 & 0.0328836209888414 \tabularnewline
0.43 & 1.16873140469061 & 0.0299678128043809 \tabularnewline
0.44 & 1.17434966122855 & 0.0272368566091217 \tabularnewline
0.45 & 1.17944262634021 & 0.024722355543434 \tabularnewline
0.46 & 1.18405844321890 & 0.0224481646051088 \tabularnewline
0.47 & 1.18824801028434 & 0.0204236441503551 \tabularnewline
0.48 & 1.19206299231876 & 0.0186530472912395 \tabularnewline
0.49 & 1.19555418135739 & 0.0171266824607183 \tabularnewline
0.5 & 1.19877017539709 & 0.0158394589996654 \tabularnewline
0.51 & 1.20175636396748 & 0.0147723016596417 \tabularnewline
0.52 & 1.20455427147271 & 0.0139069616074974 \tabularnewline
0.53 & 1.20720136530712 & 0.0132189905412521 \tabularnewline
0.54 & 1.20973143812671 & 0.0126880899098008 \tabularnewline
0.55 & 1.21217559482040 & 0.0122958477901749 \tabularnewline
0.56 & 1.21456372065236 & 0.0120391178526377 \tabularnewline
0.57 & 1.21692611788302 & 0.0119236011725625 \tabularnewline
0.58 & 1.21929483740703 & 0.0119688807475145 \tabularnewline
0.59 & 1.22170416779359 & 0.0121959497345513 \tabularnewline
0.6 & 1.22418982802081 & 0.0126204606967157 \tabularnewline
0.61 & 1.22678665737998 & 0.0132346922813896 \tabularnewline
0.62 & 1.22952497309673 & 0.0140085241743926 \tabularnewline
0.63 & 1.23242619053594 & 0.0148741689798352 \tabularnewline
0.64 & 1.23549865503538 & 0.0157454052907175 \tabularnewline
0.65 & 1.23873479584711 & 0.0165227787818561 \tabularnewline
0.66 & 1.24211059245953 & 0.0171129691421680 \tabularnewline
0.67 & 1.24558792339095 & 0.0174419441270982 \tabularnewline
0.68 & 1.24911971994714 & 0.0174732918654092 \tabularnewline
0.69 & 1.25265712806441 & 0.0172193499094169 \tabularnewline
0.7 & 1.25615729035026 & 0.0167286843868372 \tabularnewline
0.71 & 1.25959008272883 & 0.0160923850481285 \tabularnewline
0.72 & 1.26294228443230 & 0.0154206040870573 \tabularnewline
0.73 & 1.26621821880798 & 0.0148088307935295 \tabularnewline
0.74 & 1.26943674720654 & 0.0143400148345029 \tabularnewline
0.75 & 1.27262541295877 & 0.0140450871651477 \tabularnewline
0.76 & 1.27581327138959 & 0.0139079016350406 \tabularnewline
0.77 & 1.27902429472786 & 0.0138756733384081 \tabularnewline
0.78 & 1.28227308923330 & 0.0138762941488766 \tabularnewline
0.79 & 1.28556401767543 & 0.0138463135231791 \tabularnewline
0.8 & 1.28889384028008 & 0.0137454631062475 \tabularnewline
0.81 & 1.29225695459292 & 0.0135706354306807 \tabularnewline
0.82 & 1.29565157106025 & 0.0133496631559228 \tabularnewline
0.83 & 1.29908498168265 & 0.0131370671298535 \tabularnewline
0.84 & 1.3025765189958 & 0.0129896803576921 \tabularnewline
0.85 & 1.30615760106121 & 0.0129504161267083 \tabularnewline
0.86 & 1.30986892190759 & 0.0130384595607158 \tabularnewline
0.87 & 1.31375497851956 & 0.0132490741390210 \tabularnewline
0.88 & 1.31785587319677 & 0.0135500527353029 \tabularnewline
0.89 & 1.32219659347061 & 0.0138752870931899 \tabularnewline
0.9 & 1.32677592192708 & 0.0141102922684429 \tabularnewline
0.91 & 1.33156093971289 & 0.0141107539114495 \tabularnewline
0.92 & 1.33649656772839 & 0.0137603882032946 \tabularnewline
0.93 & 1.34153832113375 & 0.0130614095724139 \tabularnewline
0.94 & 1.34670734894603 & 0.0122088745390510 \tabularnewline
0.95 & 1.35215422571633 & 0.011561176117664 \tabularnewline
0.96 & 1.35820974352965 & 0.0114391577906346 \tabularnewline
0.97 & 1.36536675148338 & 0.0119260678706581 \tabularnewline
0.98 & 1.37396464595705 & 0.0131407406117499 \tabularnewline
0.99 & 1.38313945596382 & 0.0154228516873521 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7311&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]0.856427217544271[/C][C]0.00767680019730072[/C][/ROW]
[ROW][C]0.02[/C][C]0.861441676091948[/C][C]0.008042343617592[/C][/ROW]
[ROW][C]0.03[/C][C]0.866585415499419[/C][C]0.007921349480403[/C][/ROW]
[ROW][C]0.04[/C][C]0.871147504122304[/C][C]0.00758383932179219[/C][/ROW]
[ROW][C]0.05[/C][C]0.875089051034885[/C][C]0.0074677623537571[/C][/ROW]
[ROW][C]0.06[/C][C]0.878589391066654[/C][C]0.00760442670130933[/C][/ROW]
[ROW][C]0.07[/C][C]0.881827699260671[/C][C]0.00787427213985379[/C][/ROW]
[ROW][C]0.08[/C][C]0.884933068601552[/C][C]0.00826195169435004[/C][/ROW]
[ROW][C]0.09[/C][C]0.88800074497085[/C][C]0.00883943414734144[/C][/ROW]
[ROW][C]0.1[/C][C]0.891115593490896[/C][C]0.00967650386056595[/C][/ROW]
[ROW][C]0.11[/C][C]0.894362886979287[/C][C]0.0108049973020587[/C][/ROW]
[ROW][C]0.12[/C][C]0.897829121995303[/C][C]0.0122367480983308[/C][/ROW]
[ROW][C]0.13[/C][C]0.90160054709621[/C][C]0.0139992942290239[/C][/ROW]
[ROW][C]0.14[/C][C]0.905762495352428[/C][C]0.0161311902179448[/C][/ROW]
[ROW][C]0.15[/C][C]0.910397792756459[/C][C]0.0186542575656197[/C][/ROW]
[ROW][C]0.16[/C][C]0.915581721819241[/C][C]0.0215315431662575[/C][/ROW]
[ROW][C]0.17[/C][C]0.921373525432829[/C][C]0.0246617668176698[/C][/ROW]
[ROW][C]0.18[/C][C]0.92780746206599[/C][C]0.0278945886237967[/C][/ROW]
[ROW][C]0.19[/C][C]0.934887662992393[/C][C]0.0310710061722917[/C][/ROW]
[ROW][C]0.2[/C][C]0.942589787386487[/C][C]0.0340735080680524[/C][/ROW]
[ROW][C]0.21[/C][C]0.950869542314156[/C][C]0.0368506989364933[/C][/ROW]
[ROW][C]0.22[/C][C]0.959675124970223[/C][C]0.0394309773153810[/C][/ROW]
[ROW][C]0.23[/C][C]0.968959003105157[/C][C]0.0418888602638133[/C][/ROW]
[ROW][C]0.24[/C][C]0.978684825703005[/C][C]0.0443107541282089[/C][/ROW]
[ROW][C]0.25[/C][C]0.988827323577911[/C][C]0.0467392838561276[/C][/ROW]
[ROW][C]0.26[/C][C]0.999365802236677[/C][C]0.0491521716168872[/C][/ROW]
[ROW][C]0.27[/C][C]1.01027407777117[/C][C]0.0514522826606909[/C][/ROW]
[ROW][C]0.28[/C][C]1.02151065275115[/C][C]0.053498834154552[/C][/ROW]
[ROW][C]0.29[/C][C]1.03301240245219[/C][C]0.055141222562847[/C][/ROW]
[ROW][C]0.3[/C][C]1.04469347183299[/C][C]0.0562539165508478[/C][/ROW]
[ROW][C]0.31[/C][C]1.05644922226594[/C][C]0.0567563142503765[/C][/ROW]
[ROW][C]0.32[/C][C]1.06816363050890[/C][C]0.0566226966133515[/C][/ROW]
[ROW][C]0.33[/C][C]1.07971793869706[/C][C]0.0558739153973117[/C][/ROW]
[ROW][C]0.34[/C][C]1.09099859039659[/C][C]0.0545614111714678[/C][/ROW]
[ROW][C]0.35[/C][C]1.10190325925030[/C][C]0.052755020270267[/C][/ROW]
[ROW][C]0.36[/C][C]1.11234466062696[/C][C]0.0505291028049647[/C][/ROW]
[ROW][C]0.37[/C][C]1.12225248711549[/C][C]0.0479645197671902[/C][/ROW]
[ROW][C]0.38[/C][C]1.13157407227017[/C][C]0.0451395648893929[/C][/ROW]
[ROW][C]0.39[/C][C]1.14027431000218[/C][C]0.0421367704084822[/C][/ROW]
[ROW][C]0.4[/C][C]1.14833510848466[/C][C]0.0390399604574236[/C][/ROW]
[ROW][C]0.41[/C][C]1.15575442190022[/C][C]0.0359285747115295[/C][/ROW]
[ROW][C]0.42[/C][C]1.16254479646904[/C][C]0.0328836209888414[/C][/ROW]
[ROW][C]0.43[/C][C]1.16873140469061[/C][C]0.0299678128043809[/C][/ROW]
[ROW][C]0.44[/C][C]1.17434966122855[/C][C]0.0272368566091217[/C][/ROW]
[ROW][C]0.45[/C][C]1.17944262634021[/C][C]0.024722355543434[/C][/ROW]
[ROW][C]0.46[/C][C]1.18405844321890[/C][C]0.0224481646051088[/C][/ROW]
[ROW][C]0.47[/C][C]1.18824801028434[/C][C]0.0204236441503551[/C][/ROW]
[ROW][C]0.48[/C][C]1.19206299231876[/C][C]0.0186530472912395[/C][/ROW]
[ROW][C]0.49[/C][C]1.19555418135739[/C][C]0.0171266824607183[/C][/ROW]
[ROW][C]0.5[/C][C]1.19877017539709[/C][C]0.0158394589996654[/C][/ROW]
[ROW][C]0.51[/C][C]1.20175636396748[/C][C]0.0147723016596417[/C][/ROW]
[ROW][C]0.52[/C][C]1.20455427147271[/C][C]0.0139069616074974[/C][/ROW]
[ROW][C]0.53[/C][C]1.20720136530712[/C][C]0.0132189905412521[/C][/ROW]
[ROW][C]0.54[/C][C]1.20973143812671[/C][C]0.0126880899098008[/C][/ROW]
[ROW][C]0.55[/C][C]1.21217559482040[/C][C]0.0122958477901749[/C][/ROW]
[ROW][C]0.56[/C][C]1.21456372065236[/C][C]0.0120391178526377[/C][/ROW]
[ROW][C]0.57[/C][C]1.21692611788302[/C][C]0.0119236011725625[/C][/ROW]
[ROW][C]0.58[/C][C]1.21929483740703[/C][C]0.0119688807475145[/C][/ROW]
[ROW][C]0.59[/C][C]1.22170416779359[/C][C]0.0121959497345513[/C][/ROW]
[ROW][C]0.6[/C][C]1.22418982802081[/C][C]0.0126204606967157[/C][/ROW]
[ROW][C]0.61[/C][C]1.22678665737998[/C][C]0.0132346922813896[/C][/ROW]
[ROW][C]0.62[/C][C]1.22952497309673[/C][C]0.0140085241743926[/C][/ROW]
[ROW][C]0.63[/C][C]1.23242619053594[/C][C]0.0148741689798352[/C][/ROW]
[ROW][C]0.64[/C][C]1.23549865503538[/C][C]0.0157454052907175[/C][/ROW]
[ROW][C]0.65[/C][C]1.23873479584711[/C][C]0.0165227787818561[/C][/ROW]
[ROW][C]0.66[/C][C]1.24211059245953[/C][C]0.0171129691421680[/C][/ROW]
[ROW][C]0.67[/C][C]1.24558792339095[/C][C]0.0174419441270982[/C][/ROW]
[ROW][C]0.68[/C][C]1.24911971994714[/C][C]0.0174732918654092[/C][/ROW]
[ROW][C]0.69[/C][C]1.25265712806441[/C][C]0.0172193499094169[/C][/ROW]
[ROW][C]0.7[/C][C]1.25615729035026[/C][C]0.0167286843868372[/C][/ROW]
[ROW][C]0.71[/C][C]1.25959008272883[/C][C]0.0160923850481285[/C][/ROW]
[ROW][C]0.72[/C][C]1.26294228443230[/C][C]0.0154206040870573[/C][/ROW]
[ROW][C]0.73[/C][C]1.26621821880798[/C][C]0.0148088307935295[/C][/ROW]
[ROW][C]0.74[/C][C]1.26943674720654[/C][C]0.0143400148345029[/C][/ROW]
[ROW][C]0.75[/C][C]1.27262541295877[/C][C]0.0140450871651477[/C][/ROW]
[ROW][C]0.76[/C][C]1.27581327138959[/C][C]0.0139079016350406[/C][/ROW]
[ROW][C]0.77[/C][C]1.27902429472786[/C][C]0.0138756733384081[/C][/ROW]
[ROW][C]0.78[/C][C]1.28227308923330[/C][C]0.0138762941488766[/C][/ROW]
[ROW][C]0.79[/C][C]1.28556401767543[/C][C]0.0138463135231791[/C][/ROW]
[ROW][C]0.8[/C][C]1.28889384028008[/C][C]0.0137454631062475[/C][/ROW]
[ROW][C]0.81[/C][C]1.29225695459292[/C][C]0.0135706354306807[/C][/ROW]
[ROW][C]0.82[/C][C]1.29565157106025[/C][C]0.0133496631559228[/C][/ROW]
[ROW][C]0.83[/C][C]1.29908498168265[/C][C]0.0131370671298535[/C][/ROW]
[ROW][C]0.84[/C][C]1.3025765189958[/C][C]0.0129896803576921[/C][/ROW]
[ROW][C]0.85[/C][C]1.30615760106121[/C][C]0.0129504161267083[/C][/ROW]
[ROW][C]0.86[/C][C]1.30986892190759[/C][C]0.0130384595607158[/C][/ROW]
[ROW][C]0.87[/C][C]1.31375497851956[/C][C]0.0132490741390210[/C][/ROW]
[ROW][C]0.88[/C][C]1.31785587319677[/C][C]0.0135500527353029[/C][/ROW]
[ROW][C]0.89[/C][C]1.32219659347061[/C][C]0.0138752870931899[/C][/ROW]
[ROW][C]0.9[/C][C]1.32677592192708[/C][C]0.0141102922684429[/C][/ROW]
[ROW][C]0.91[/C][C]1.33156093971289[/C][C]0.0141107539114495[/C][/ROW]
[ROW][C]0.92[/C][C]1.33649656772839[/C][C]0.0137603882032946[/C][/ROW]
[ROW][C]0.93[/C][C]1.34153832113375[/C][C]0.0130614095724139[/C][/ROW]
[ROW][C]0.94[/C][C]1.34670734894603[/C][C]0.0122088745390510[/C][/ROW]
[ROW][C]0.95[/C][C]1.35215422571633[/C][C]0.011561176117664[/C][/ROW]
[ROW][C]0.96[/C][C]1.35820974352965[/C][C]0.0114391577906346[/C][/ROW]
[ROW][C]0.97[/C][C]1.36536675148338[/C][C]0.0119260678706581[/C][/ROW]
[ROW][C]0.98[/C][C]1.37396464595705[/C][C]0.0131407406117499[/C][/ROW]
[ROW][C]0.99[/C][C]1.38313945596382[/C][C]0.0154228516873521[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7311&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7311&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
0.010.8564272175442710.00767680019730072
0.020.8614416760919480.008042343617592
0.030.8665854154994190.007921349480403
0.040.8711475041223040.00758383932179219
0.050.8750890510348850.0074677623537571
0.060.8785893910666540.00760442670130933
0.070.8818276992606710.00787427213985379
0.080.8849330686015520.00826195169435004
0.090.888000744970850.00883943414734144
0.10.8911155934908960.00967650386056595
0.110.8943628869792870.0108049973020587
0.120.8978291219953030.0122367480983308
0.130.901600547096210.0139992942290239
0.140.9057624953524280.0161311902179448
0.150.9103977927564590.0186542575656197
0.160.9155817218192410.0215315431662575
0.170.9213735254328290.0246617668176698
0.180.927807462065990.0278945886237967
0.190.9348876629923930.0310710061722917
0.20.9425897873864870.0340735080680524
0.210.9508695423141560.0368506989364933
0.220.9596751249702230.0394309773153810
0.230.9689590031051570.0418888602638133
0.240.9786848257030050.0443107541282089
0.250.9888273235779110.0467392838561276
0.260.9993658022366770.0491521716168872
0.271.010274077771170.0514522826606909
0.281.021510652751150.053498834154552
0.291.033012402452190.055141222562847
0.31.044693471832990.0562539165508478
0.311.056449222265940.0567563142503765
0.321.068163630508900.0566226966133515
0.331.079717938697060.0558739153973117
0.341.090998590396590.0545614111714678
0.351.101903259250300.052755020270267
0.361.112344660626960.0505291028049647
0.371.122252487115490.0479645197671902
0.381.131574072270170.0451395648893929
0.391.140274310002180.0421367704084822
0.41.148335108484660.0390399604574236
0.411.155754421900220.0359285747115295
0.421.162544796469040.0328836209888414
0.431.168731404690610.0299678128043809
0.441.174349661228550.0272368566091217
0.451.179442626340210.024722355543434
0.461.184058443218900.0224481646051088
0.471.188248010284340.0204236441503551
0.481.192062992318760.0186530472912395
0.491.195554181357390.0171266824607183
0.51.198770175397090.0158394589996654
0.511.201756363967480.0147723016596417
0.521.204554271472710.0139069616074974
0.531.207201365307120.0132189905412521
0.541.209731438126710.0126880899098008
0.551.212175594820400.0122958477901749
0.561.214563720652360.0120391178526377
0.571.216926117883020.0119236011725625
0.581.219294837407030.0119688807475145
0.591.221704167793590.0121959497345513
0.61.224189828020810.0126204606967157
0.611.226786657379980.0132346922813896
0.621.229524973096730.0140085241743926
0.631.232426190535940.0148741689798352
0.641.235498655035380.0157454052907175
0.651.238734795847110.0165227787818561
0.661.242110592459530.0171129691421680
0.671.245587923390950.0174419441270982
0.681.249119719947140.0174732918654092
0.691.252657128064410.0172193499094169
0.71.256157290350260.0167286843868372
0.711.259590082728830.0160923850481285
0.721.262942284432300.0154206040870573
0.731.266218218807980.0148088307935295
0.741.269436747206540.0143400148345029
0.751.272625412958770.0140450871651477
0.761.275813271389590.0139079016350406
0.771.279024294727860.0138756733384081
0.781.282273089233300.0138762941488766
0.791.285564017675430.0138463135231791
0.81.288893840280080.0137454631062475
0.811.292256954592920.0135706354306807
0.821.295651571060250.0133496631559228
0.831.299084981682650.0131370671298535
0.841.30257651899580.0129896803576921
0.851.306157601061210.0129504161267083
0.861.309868921907590.0130384595607158
0.871.313754978519560.0132490741390210
0.881.317855873196770.0135500527353029
0.891.322196593470610.0138752870931899
0.91.326775921927080.0141102922684429
0.911.331560939712890.0141107539114495
0.921.336496567728390.0137603882032946
0.931.341538321133750.0130614095724139
0.941.346707348946030.0122088745390510
0.951.352154225716330.011561176117664
0.961.358209743529650.0114391577906346
0.971.365366751483380.0119260678706581
0.981.373964645957050.0131407406117499
0.991.383139455963820.0154228516873521


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')