FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 10 Mar 2017 09:12:52 +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/2017/Mar/10/t1489137203oog40ytrzm0dk8h.htm/, Retrieved Wed, 15 May 2024 13:17:09 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 15 May 2024 13:17:09 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
79.92
80.26
80.69
84.5
85.45
85.87
85.98
86.06
86.19
86.37
86.4
86.43
86.43
86.73
86.84
90.99
92.61
93.27
93.47
93.83
94.01
94.2
94.3
94.53
94.59
94.67
94.69
96.55
97.14
97.32
97.97
98.49
98.76
99.09
99.11
99.17
99.17
99.2
99.54
99.59
99.61
99.68
99.68
99.96
100
100.12
100.38
100.39
100.39
100.75
100.79
100.99
101.03
101.22
101.37
101.38
101.45
101.52
101.84
101.99
104.05
104.49
104.5
104.59
104.61
104.61
104.71
104.8
104.81
104.83
105.06
105.4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0180.14510167091980.63644508472755
0.0280.64289737821961.2835543240967
0.0381.3908839670081.9022626631842
0.0482.29279408891722.20164203065018
0.0583.21686219560862.12678605551303
0.0684.048263680131.79904849883846
0.0784.72303295153211.38561338702675
0.0885.23055039125771.01039018000916
0.0985.59591219650790.733238243021345
0.185.85914189020550.569436672289524
0.1186.0609962603360.516516664998365
0.1286.2367735415580.565746286395641
0.1386.41533174146530.70548246177688
0.1486.62005229500950.923112530295314
0.1586.86965820863721.20577242571243
0.1687.17812779074571.53476499135158
0.1787.55385752444431.88389224515108
0.1887.99865875455882.22119893632536
0.1988.50722715375352.51310946497462
0.289.06752919695672.73025788118435
0.2189.66223095249462.85220656034563
0.2290.27096996845342.87111110766935
0.2390.87303828979992.79216932177757
0.2491.44995915782112.63232456964117
0.2591.98750433885832.41613741019712
0.2692.47687013553792.17196066960057
0.2792.91494088939311.92732603391239
0.2893.30375462458381.70627387420458
0.2993.64940439563221.52720766329104
0.393.9606490108881.40126386919424
0.3194.2474817140961.3321026093065
0.3294.51984227620251.31560378644358
0.3394.78658467171131.34202128964857
0.3495.05474887498421.39744558140807
0.3595.32913997970781.46780156371676
0.3695.61219026960531.53933814729166
0.3795.90406466315841.60077622346758
0.3896.20296124005611.64315285554455
0.3996.50555265756711.66018091136717
0.496.80751034485051.64858272025807
0.4197.10405251819071.60820071804955
0.4297.39046080791421.54109183067764
0.4397.66251930382231.45173623666501
0.4497.91684338953561.34543981261895
0.4598.15108191212611.22871159126321
0.4698.3639925135791.10789251177621
0.4798.55540398313760.988586914206825
0.4898.7260896103790.875819754633779
0.4998.8775809687560.773174957434655
0.599.01195242623560.683679957069061
0.5199.1316036866810.608195157175152
0.5299.23906192279390.547293870815254
0.5399.33681784645930.500214401417429
0.5499.42720264008460.465873591157468
0.5599.51230613726090.44242667722078
0.5699.59393177538540.428244412191475
0.5799.67358101372120.42121567365092
0.5899.75245904023890.419707171924957
0.5999.8314942319810.422242054952118
0.699.91136534051830.427490227828971
0.6199.99253212078640.434205450013064
0.62100.0752666953540.441501904853264
0.63100.1596842419020.448562072022463
0.64100.2457727764190.454892205830908
0.65100.3334231675230.460023782515958
0.66100.4224622627360.463665084850237
0.67100.5126940626980.465676486960793
0.68100.6039557753090.466283901748208
0.69100.6961964358990.465774442811857
0.7100.7895843920810.46523605372982
0.71100.8846450293380.466370384400561
0.72100.9824206570920.471882245457
0.73101.0846303731990.485107252700274
0.74101.1937905217540.510705062164276
0.75101.3132400047020.553200110336621
0.76101.4470058434970.616180170811038
0.77101.5994515249750.700679209607877
0.78101.7746816872110.803945578619936
0.79101.975734660720.918838398556118
0.8102.2036726876551.03422582902825
0.81102.4567589810351.13568199086359
0.82102.7299608036721.2075260551302
0.83103.0150056303491.2360131421189
0.84103.3011225466291.21231520627231
0.85103.576430314311.13490660357547
0.86103.8297295676341.01089439409624
0.87104.0522902458250.854860123167805
0.88104.2391715827830.685814655025584
0.89104.3897167110260.52308877522444
0.9104.5071170214090.38216454844716
0.91104.5972694890820.272014580763493
0.92104.6674340349940.194468504241257
0.93104.7253080708010.145928772441048
0.94104.7789736502950.121335431816508
0.95104.8376945952250.119345847796223
0.96104.9126862262550.141430745901839
0.97105.0155324846060.184213248251383
0.98105.1501532831150.239113402956551
0.99105.2963444345210.295403195155699

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 80.1451016709198 & 0.63644508472755 \tabularnewline
0.02 & 80.6428973782196 & 1.2835543240967 \tabularnewline
0.03 & 81.390883967008 & 1.9022626631842 \tabularnewline
0.04 & 82.2927940889172 & 2.20164203065018 \tabularnewline
0.05 & 83.2168621956086 & 2.12678605551303 \tabularnewline
0.06 & 84.04826368013 & 1.79904849883846 \tabularnewline
0.07 & 84.7230329515321 & 1.38561338702675 \tabularnewline
0.08 & 85.2305503912577 & 1.01039018000916 \tabularnewline
0.09 & 85.5959121965079 & 0.733238243021345 \tabularnewline
0.1 & 85.8591418902055 & 0.569436672289524 \tabularnewline
0.11 & 86.060996260336 & 0.516516664998365 \tabularnewline
0.12 & 86.236773541558 & 0.565746286395641 \tabularnewline
0.13 & 86.4153317414653 & 0.70548246177688 \tabularnewline
0.14 & 86.6200522950095 & 0.923112530295314 \tabularnewline
0.15 & 86.8696582086372 & 1.20577242571243 \tabularnewline
0.16 & 87.1781277907457 & 1.53476499135158 \tabularnewline
0.17 & 87.5538575244443 & 1.88389224515108 \tabularnewline
0.18 & 87.9986587545588 & 2.22119893632536 \tabularnewline
0.19 & 88.5072271537535 & 2.51310946497462 \tabularnewline
0.2 & 89.0675291969567 & 2.73025788118435 \tabularnewline
0.21 & 89.6622309524946 & 2.85220656034563 \tabularnewline
0.22 & 90.2709699684534 & 2.87111110766935 \tabularnewline
0.23 & 90.8730382897999 & 2.79216932177757 \tabularnewline
0.24 & 91.4499591578211 & 2.63232456964117 \tabularnewline
0.25 & 91.9875043388583 & 2.41613741019712 \tabularnewline
0.26 & 92.4768701355379 & 2.17196066960057 \tabularnewline
0.27 & 92.9149408893931 & 1.92732603391239 \tabularnewline
0.28 & 93.3037546245838 & 1.70627387420458 \tabularnewline
0.29 & 93.6494043956322 & 1.52720766329104 \tabularnewline
0.3 & 93.960649010888 & 1.40126386919424 \tabularnewline
0.31 & 94.247481714096 & 1.3321026093065 \tabularnewline
0.32 & 94.5198422762025 & 1.31560378644358 \tabularnewline
0.33 & 94.7865846717113 & 1.34202128964857 \tabularnewline
0.34 & 95.0547488749842 & 1.39744558140807 \tabularnewline
0.35 & 95.3291399797078 & 1.46780156371676 \tabularnewline
0.36 & 95.6121902696053 & 1.53933814729166 \tabularnewline
0.37 & 95.9040646631584 & 1.60077622346758 \tabularnewline
0.38 & 96.2029612400561 & 1.64315285554455 \tabularnewline
0.39 & 96.5055526575671 & 1.66018091136717 \tabularnewline
0.4 & 96.8075103448505 & 1.64858272025807 \tabularnewline
0.41 & 97.1040525181907 & 1.60820071804955 \tabularnewline
0.42 & 97.3904608079142 & 1.54109183067764 \tabularnewline
0.43 & 97.6625193038223 & 1.45173623666501 \tabularnewline
0.44 & 97.9168433895356 & 1.34543981261895 \tabularnewline
0.45 & 98.1510819121261 & 1.22871159126321 \tabularnewline
0.46 & 98.363992513579 & 1.10789251177621 \tabularnewline
0.47 & 98.5554039831376 & 0.988586914206825 \tabularnewline
0.48 & 98.726089610379 & 0.875819754633779 \tabularnewline
0.49 & 98.877580968756 & 0.773174957434655 \tabularnewline
0.5 & 99.0119524262356 & 0.683679957069061 \tabularnewline
0.51 & 99.131603686681 & 0.608195157175152 \tabularnewline
0.52 & 99.2390619227939 & 0.547293870815254 \tabularnewline
0.53 & 99.3368178464593 & 0.500214401417429 \tabularnewline
0.54 & 99.4272026400846 & 0.465873591157468 \tabularnewline
0.55 & 99.5123061372609 & 0.44242667722078 \tabularnewline
0.56 & 99.5939317753854 & 0.428244412191475 \tabularnewline
0.57 & 99.6735810137212 & 0.42121567365092 \tabularnewline
0.58 & 99.7524590402389 & 0.419707171924957 \tabularnewline
0.59 & 99.831494231981 & 0.422242054952118 \tabularnewline
0.6 & 99.9113653405183 & 0.427490227828971 \tabularnewline
0.61 & 99.9925321207864 & 0.434205450013064 \tabularnewline
0.62 & 100.075266695354 & 0.441501904853264 \tabularnewline
0.63 & 100.159684241902 & 0.448562072022463 \tabularnewline
0.64 & 100.245772776419 & 0.454892205830908 \tabularnewline
0.65 & 100.333423167523 & 0.460023782515958 \tabularnewline
0.66 & 100.422462262736 & 0.463665084850237 \tabularnewline
0.67 & 100.512694062698 & 0.465676486960793 \tabularnewline
0.68 & 100.603955775309 & 0.466283901748208 \tabularnewline
0.69 & 100.696196435899 & 0.465774442811857 \tabularnewline
0.7 & 100.789584392081 & 0.46523605372982 \tabularnewline
0.71 & 100.884645029338 & 0.466370384400561 \tabularnewline
0.72 & 100.982420657092 & 0.471882245457 \tabularnewline
0.73 & 101.084630373199 & 0.485107252700274 \tabularnewline
0.74 & 101.193790521754 & 0.510705062164276 \tabularnewline
0.75 & 101.313240004702 & 0.553200110336621 \tabularnewline
0.76 & 101.447005843497 & 0.616180170811038 \tabularnewline
0.77 & 101.599451524975 & 0.700679209607877 \tabularnewline
0.78 & 101.774681687211 & 0.803945578619936 \tabularnewline
0.79 & 101.97573466072 & 0.918838398556118 \tabularnewline
0.8 & 102.203672687655 & 1.03422582902825 \tabularnewline
0.81 & 102.456758981035 & 1.13568199086359 \tabularnewline
0.82 & 102.729960803672 & 1.2075260551302 \tabularnewline
0.83 & 103.015005630349 & 1.2360131421189 \tabularnewline
0.84 & 103.301122546629 & 1.21231520627231 \tabularnewline
0.85 & 103.57643031431 & 1.13490660357547 \tabularnewline
0.86 & 103.829729567634 & 1.01089439409624 \tabularnewline
0.87 & 104.052290245825 & 0.854860123167805 \tabularnewline
0.88 & 104.239171582783 & 0.685814655025584 \tabularnewline
0.89 & 104.389716711026 & 0.52308877522444 \tabularnewline
0.9 & 104.507117021409 & 0.38216454844716 \tabularnewline
0.91 & 104.597269489082 & 0.272014580763493 \tabularnewline
0.92 & 104.667434034994 & 0.194468504241257 \tabularnewline
0.93 & 104.725308070801 & 0.145928772441048 \tabularnewline
0.94 & 104.778973650295 & 0.121335431816508 \tabularnewline
0.95 & 104.837694595225 & 0.119345847796223 \tabularnewline
0.96 & 104.912686226255 & 0.141430745901839 \tabularnewline
0.97 & 105.015532484606 & 0.184213248251383 \tabularnewline
0.98 & 105.150153283115 & 0.239113402956551 \tabularnewline
0.99 & 105.296344434521 & 0.295403195155699 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]80.1451016709198[/C][C]0.63644508472755[/C][/ROW]
[ROW][C]0.02[/C][C]80.6428973782196[/C][C]1.2835543240967[/C][/ROW]
[ROW][C]0.03[/C][C]81.390883967008[/C][C]1.9022626631842[/C][/ROW]
[ROW][C]0.04[/C][C]82.2927940889172[/C][C]2.20164203065018[/C][/ROW]
[ROW][C]0.05[/C][C]83.2168621956086[/C][C]2.12678605551303[/C][/ROW]
[ROW][C]0.06[/C][C]84.04826368013[/C][C]1.79904849883846[/C][/ROW]
[ROW][C]0.07[/C][C]84.7230329515321[/C][C]1.38561338702675[/C][/ROW]
[ROW][C]0.08[/C][C]85.2305503912577[/C][C]1.01039018000916[/C][/ROW]
[ROW][C]0.09[/C][C]85.5959121965079[/C][C]0.733238243021345[/C][/ROW]
[ROW][C]0.1[/C][C]85.8591418902055[/C][C]0.569436672289524[/C][/ROW]
[ROW][C]0.11[/C][C]86.060996260336[/C][C]0.516516664998365[/C][/ROW]
[ROW][C]0.12[/C][C]86.236773541558[/C][C]0.565746286395641[/C][/ROW]
[ROW][C]0.13[/C][C]86.4153317414653[/C][C]0.70548246177688[/C][/ROW]
[ROW][C]0.14[/C][C]86.6200522950095[/C][C]0.923112530295314[/C][/ROW]
[ROW][C]0.15[/C][C]86.8696582086372[/C][C]1.20577242571243[/C][/ROW]
[ROW][C]0.16[/C][C]87.1781277907457[/C][C]1.53476499135158[/C][/ROW]
[ROW][C]0.17[/C][C]87.5538575244443[/C][C]1.88389224515108[/C][/ROW]
[ROW][C]0.18[/C][C]87.9986587545588[/C][C]2.22119893632536[/C][/ROW]
[ROW][C]0.19[/C][C]88.5072271537535[/C][C]2.51310946497462[/C][/ROW]
[ROW][C]0.2[/C][C]89.0675291969567[/C][C]2.73025788118435[/C][/ROW]
[ROW][C]0.21[/C][C]89.6622309524946[/C][C]2.85220656034563[/C][/ROW]
[ROW][C]0.22[/C][C]90.2709699684534[/C][C]2.87111110766935[/C][/ROW]
[ROW][C]0.23[/C][C]90.8730382897999[/C][C]2.79216932177757[/C][/ROW]
[ROW][C]0.24[/C][C]91.4499591578211[/C][C]2.63232456964117[/C][/ROW]
[ROW][C]0.25[/C][C]91.9875043388583[/C][C]2.41613741019712[/C][/ROW]
[ROW][C]0.26[/C][C]92.4768701355379[/C][C]2.17196066960057[/C][/ROW]
[ROW][C]0.27[/C][C]92.9149408893931[/C][C]1.92732603391239[/C][/ROW]
[ROW][C]0.28[/C][C]93.3037546245838[/C][C]1.70627387420458[/C][/ROW]
[ROW][C]0.29[/C][C]93.6494043956322[/C][C]1.52720766329104[/C][/ROW]
[ROW][C]0.3[/C][C]93.960649010888[/C][C]1.40126386919424[/C][/ROW]
[ROW][C]0.31[/C][C]94.247481714096[/C][C]1.3321026093065[/C][/ROW]
[ROW][C]0.32[/C][C]94.5198422762025[/C][C]1.31560378644358[/C][/ROW]
[ROW][C]0.33[/C][C]94.7865846717113[/C][C]1.34202128964857[/C][/ROW]
[ROW][C]0.34[/C][C]95.0547488749842[/C][C]1.39744558140807[/C][/ROW]
[ROW][C]0.35[/C][C]95.3291399797078[/C][C]1.46780156371676[/C][/ROW]
[ROW][C]0.36[/C][C]95.6121902696053[/C][C]1.53933814729166[/C][/ROW]
[ROW][C]0.37[/C][C]95.9040646631584[/C][C]1.60077622346758[/C][/ROW]
[ROW][C]0.38[/C][C]96.2029612400561[/C][C]1.64315285554455[/C][/ROW]
[ROW][C]0.39[/C][C]96.5055526575671[/C][C]1.66018091136717[/C][/ROW]
[ROW][C]0.4[/C][C]96.8075103448505[/C][C]1.64858272025807[/C][/ROW]
[ROW][C]0.41[/C][C]97.1040525181907[/C][C]1.60820071804955[/C][/ROW]
[ROW][C]0.42[/C][C]97.3904608079142[/C][C]1.54109183067764[/C][/ROW]
[ROW][C]0.43[/C][C]97.6625193038223[/C][C]1.45173623666501[/C][/ROW]
[ROW][C]0.44[/C][C]97.9168433895356[/C][C]1.34543981261895[/C][/ROW]
[ROW][C]0.45[/C][C]98.1510819121261[/C][C]1.22871159126321[/C][/ROW]
[ROW][C]0.46[/C][C]98.363992513579[/C][C]1.10789251177621[/C][/ROW]
[ROW][C]0.47[/C][C]98.5554039831376[/C][C]0.988586914206825[/C][/ROW]
[ROW][C]0.48[/C][C]98.726089610379[/C][C]0.875819754633779[/C][/ROW]
[ROW][C]0.49[/C][C]98.877580968756[/C][C]0.773174957434655[/C][/ROW]
[ROW][C]0.5[/C][C]99.0119524262356[/C][C]0.683679957069061[/C][/ROW]
[ROW][C]0.51[/C][C]99.131603686681[/C][C]0.608195157175152[/C][/ROW]
[ROW][C]0.52[/C][C]99.2390619227939[/C][C]0.547293870815254[/C][/ROW]
[ROW][C]0.53[/C][C]99.3368178464593[/C][C]0.500214401417429[/C][/ROW]
[ROW][C]0.54[/C][C]99.4272026400846[/C][C]0.465873591157468[/C][/ROW]
[ROW][C]0.55[/C][C]99.5123061372609[/C][C]0.44242667722078[/C][/ROW]
[ROW][C]0.56[/C][C]99.5939317753854[/C][C]0.428244412191475[/C][/ROW]
[ROW][C]0.57[/C][C]99.6735810137212[/C][C]0.42121567365092[/C][/ROW]
[ROW][C]0.58[/C][C]99.7524590402389[/C][C]0.419707171924957[/C][/ROW]
[ROW][C]0.59[/C][C]99.831494231981[/C][C]0.422242054952118[/C][/ROW]
[ROW][C]0.6[/C][C]99.9113653405183[/C][C]0.427490227828971[/C][/ROW]
[ROW][C]0.61[/C][C]99.9925321207864[/C][C]0.434205450013064[/C][/ROW]
[ROW][C]0.62[/C][C]100.075266695354[/C][C]0.441501904853264[/C][/ROW]
[ROW][C]0.63[/C][C]100.159684241902[/C][C]0.448562072022463[/C][/ROW]
[ROW][C]0.64[/C][C]100.245772776419[/C][C]0.454892205830908[/C][/ROW]
[ROW][C]0.65[/C][C]100.333423167523[/C][C]0.460023782515958[/C][/ROW]
[ROW][C]0.66[/C][C]100.422462262736[/C][C]0.463665084850237[/C][/ROW]
[ROW][C]0.67[/C][C]100.512694062698[/C][C]0.465676486960793[/C][/ROW]
[ROW][C]0.68[/C][C]100.603955775309[/C][C]0.466283901748208[/C][/ROW]
[ROW][C]0.69[/C][C]100.696196435899[/C][C]0.465774442811857[/C][/ROW]
[ROW][C]0.7[/C][C]100.789584392081[/C][C]0.46523605372982[/C][/ROW]
[ROW][C]0.71[/C][C]100.884645029338[/C][C]0.466370384400561[/C][/ROW]
[ROW][C]0.72[/C][C]100.982420657092[/C][C]0.471882245457[/C][/ROW]
[ROW][C]0.73[/C][C]101.084630373199[/C][C]0.485107252700274[/C][/ROW]
[ROW][C]0.74[/C][C]101.193790521754[/C][C]0.510705062164276[/C][/ROW]
[ROW][C]0.75[/C][C]101.313240004702[/C][C]0.553200110336621[/C][/ROW]
[ROW][C]0.76[/C][C]101.447005843497[/C][C]0.616180170811038[/C][/ROW]
[ROW][C]0.77[/C][C]101.599451524975[/C][C]0.700679209607877[/C][/ROW]
[ROW][C]0.78[/C][C]101.774681687211[/C][C]0.803945578619936[/C][/ROW]
[ROW][C]0.79[/C][C]101.97573466072[/C][C]0.918838398556118[/C][/ROW]
[ROW][C]0.8[/C][C]102.203672687655[/C][C]1.03422582902825[/C][/ROW]
[ROW][C]0.81[/C][C]102.456758981035[/C][C]1.13568199086359[/C][/ROW]
[ROW][C]0.82[/C][C]102.729960803672[/C][C]1.2075260551302[/C][/ROW]
[ROW][C]0.83[/C][C]103.015005630349[/C][C]1.2360131421189[/C][/ROW]
[ROW][C]0.84[/C][C]103.301122546629[/C][C]1.21231520627231[/C][/ROW]
[ROW][C]0.85[/C][C]103.57643031431[/C][C]1.13490660357547[/C][/ROW]
[ROW][C]0.86[/C][C]103.829729567634[/C][C]1.01089439409624[/C][/ROW]
[ROW][C]0.87[/C][C]104.052290245825[/C][C]0.854860123167805[/C][/ROW]
[ROW][C]0.88[/C][C]104.239171582783[/C][C]0.685814655025584[/C][/ROW]
[ROW][C]0.89[/C][C]104.389716711026[/C][C]0.52308877522444[/C][/ROW]
[ROW][C]0.9[/C][C]104.507117021409[/C][C]0.38216454844716[/C][/ROW]
[ROW][C]0.91[/C][C]104.597269489082[/C][C]0.272014580763493[/C][/ROW]
[ROW][C]0.92[/C][C]104.667434034994[/C][C]0.194468504241257[/C][/ROW]
[ROW][C]0.93[/C][C]104.725308070801[/C][C]0.145928772441048[/C][/ROW]
[ROW][C]0.94[/C][C]104.778973650295[/C][C]0.121335431816508[/C][/ROW]
[ROW][C]0.95[/C][C]104.837694595225[/C][C]0.119345847796223[/C][/ROW]
[ROW][C]0.96[/C][C]104.912686226255[/C][C]0.141430745901839[/C][/ROW]
[ROW][C]0.97[/C][C]105.015532484606[/C][C]0.184213248251383[/C][/ROW]
[ROW][C]0.98[/C][C]105.150153283115[/C][C]0.239113402956551[/C][/ROW]
[ROW][C]0.99[/C][C]105.296344434521[/C][C]0.295403195155699[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0180.14510167091980.63644508472755
0.0280.64289737821961.2835543240967
0.0381.3908839670081.9022626631842
0.0482.29279408891722.20164203065018
0.0583.21686219560862.12678605551303
0.0684.048263680131.79904849883846
0.0784.72303295153211.38561338702675
0.0885.23055039125771.01039018000916
0.0985.59591219650790.733238243021345
0.185.85914189020550.569436672289524
0.1186.0609962603360.516516664998365
0.1286.2367735415580.565746286395641
0.1386.41533174146530.70548246177688
0.1486.62005229500950.923112530295314
0.1586.86965820863721.20577242571243
0.1687.17812779074571.53476499135158
0.1787.55385752444431.88389224515108
0.1887.99865875455882.22119893632536
0.1988.50722715375352.51310946497462
0.289.06752919695672.73025788118435
0.2189.66223095249462.85220656034563
0.2290.27096996845342.87111110766935
0.2390.87303828979992.79216932177757
0.2491.44995915782112.63232456964117
0.2591.98750433885832.41613741019712
0.2692.47687013553792.17196066960057
0.2792.91494088939311.92732603391239
0.2893.30375462458381.70627387420458
0.2993.64940439563221.52720766329104
0.393.9606490108881.40126386919424
0.3194.2474817140961.3321026093065
0.3294.51984227620251.31560378644358
0.3394.78658467171131.34202128964857
0.3495.05474887498421.39744558140807
0.3595.32913997970781.46780156371676
0.3695.61219026960531.53933814729166
0.3795.90406466315841.60077622346758
0.3896.20296124005611.64315285554455
0.3996.50555265756711.66018091136717
0.496.80751034485051.64858272025807
0.4197.10405251819071.60820071804955
0.4297.39046080791421.54109183067764
0.4397.66251930382231.45173623666501
0.4497.91684338953561.34543981261895
0.4598.15108191212611.22871159126321
0.4698.3639925135791.10789251177621
0.4798.55540398313760.988586914206825
0.4898.7260896103790.875819754633779
0.4998.8775809687560.773174957434655
0.599.01195242623560.683679957069061
0.5199.1316036866810.608195157175152
0.5299.23906192279390.547293870815254
0.5399.33681784645930.500214401417429
0.5499.42720264008460.465873591157468
0.5599.51230613726090.44242667722078
0.5699.59393177538540.428244412191475
0.5799.67358101372120.42121567365092
0.5899.75245904023890.419707171924957
0.5999.8314942319810.422242054952118
0.699.91136534051830.427490227828971
0.6199.99253212078640.434205450013064
0.62100.0752666953540.441501904853264
0.63100.1596842419020.448562072022463
0.64100.2457727764190.454892205830908
0.65100.3334231675230.460023782515958
0.66100.4224622627360.463665084850237
0.67100.5126940626980.465676486960793
0.68100.6039557753090.466283901748208
0.69100.6961964358990.465774442811857
0.7100.7895843920810.46523605372982
0.71100.8846450293380.466370384400561
0.72100.9824206570920.471882245457
0.73101.0846303731990.485107252700274
0.74101.1937905217540.510705062164276
0.75101.3132400047020.553200110336621
0.76101.4470058434970.616180170811038
0.77101.5994515249750.700679209607877
0.78101.7746816872110.803945578619936
0.79101.975734660720.918838398556118
0.8102.2036726876551.03422582902825
0.81102.4567589810351.13568199086359
0.82102.7299608036721.2075260551302
0.83103.0150056303491.2360131421189
0.84103.3011225466291.21231520627231
0.85103.576430314311.13490660357547
0.86103.8297295676341.01089439409624
0.87104.0522902458250.854860123167805
0.88104.2391715827830.685814655025584
0.89104.3897167110260.52308877522444
0.9104.5071170214090.38216454844716
0.91104.5972694890820.272014580763493
0.92104.6674340349940.194468504241257
0.93104.7253080708010.145928772441048
0.94104.7789736502950.121335431816508
0.95104.8376945952250.119345847796223
0.96104.9126862262550.141430745901839
0.97105.0155324846060.184213248251383
0.98105.1501532831150.239113402956551
0.99105.2963444345210.295403195155699


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')