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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 09 Aug 2008 06:02:45 -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/2008/Aug/09/t1218283444yew7q5s09pf5ak9.htm/, Retrieved Tue, 14 May 2024 03:15:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=13921, Retrieved Tue, 14 May 2024 03:15:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact266

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] [Decielen huur won...] [2008-08-09 12:02:45] [0d1085ed835696cdd537ad5fa07600ec] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
81.6
113.8
97.6
120.1
101.9
97.6
150
143.8
103.7
115.3
87.4
97.6
84
96.1
88
120.6
121.1
109.7
149.2
156.5
109.3
102
90
85.9
88.4
88.4
100
120.6
103.3
107.1
168.1
172.1
104.9
112.8
88.8
109
89.5
90.2
91.2
116.9
106.1
106.1
170.4
163.9
108
118.6
94.7
101.4
94.86
101.61
96.04
115.96
123.87
115.59
178.58
184.31
115.59
117.91
95.22
113.49
97.84
97.84
98.82
142.58
122.57
122.29
167.48
176.09
121.78
122.6
107.8
116.77
99.56
103.41
107.77
139.17
130.56
125.18
181.69
194.7
125.18
123.54
112.25
123.21
109.02
115.97
118.71
126.4
129.39
128.97
192.64
188.1
128.03
132.42
114.73
123.82

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=13921&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=13921&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13921&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
0.0182.76570419833492.18167864770329
0.0284.39752206154491.99284795720057
0.0385.82022036491671.71935062967128
0.0486.88416799806321.38888486118836
0.0587.65938677326811.14478412474294
0.0688.25904635465971.08708183409941
0.0788.78935812868361.22542915353441
0.0889.33181781657631.50384353263378
0.0989.93667945598571.85013930832150
0.190.62365036463742.19408516981166
0.1191.38659455846212.47172908776152
0.1292.2006605321522.63714253805384
0.1393.03114437675462.67274597387427
0.1493.84280019347842.59199286837902
0.1594.6075886784272.43163870022989
0.1695.30916412384922.23732654389991
0.1795.94363632539762.0513371461941
0.1896.5174254755331.90456988927373
0.1997.04364176371451.81461924083491
0.297.5382903469111.78588613389672
0.2198.01710188933951.81193600338736
0.2298.49331712980241.87860124872001
0.2398.97647605576371.96868803543641
0.2499.47213145165672.06583929715372
0.2599.98231847242852.15815986688197
0.26100.5065211183382.23930017890002
0.27101.0428109336622.30761679977228
0.28101.5888418565762.36587196932988
0.29102.1424844796942.4167856773262
0.3102.7020408018952.46287193766044
0.31103.2661355580922.50411879551822
0.32103.8334755555552.53883022314270
0.33104.4026769058802.56492348279501
0.34104.9722907683962.58148816471521
0.35105.5410471179722.58983643526739
0.36106.1082282697092.59417750501675
0.37106.6740170541732.60038921332651
0.38107.2396580482642.61554944756020
0.39107.8073223021472.64452097374872
0.4108.3796569902022.68926513309542
0.41108.9591016636812.74617575969706
0.42109.5471316818862.80778936889845
0.43110.1436238742412.86333586877618
0.44110.7465198751392.90168416157682
0.45111.3518946365132.91271618839586
0.46111.9544402939122.89080018535547
0.47112.5482751412542.83547322165062
0.48113.1279100086502.75111596579751
0.49113.6891685389292.64744530797815
0.5114.2298705883882.53663397601097
0.51114.7501435011762.43186519548986
0.52115.2523087259872.34458010358391
0.53115.7403806355452.28269923498017
0.54116.2192904483252.2489728359158
0.55116.6939957577032.24068048672382
0.56117.1686478835172.25076529424607
0.57117.6459659563802.26942039579421
0.58118.1269165467972.28694403833715
0.59118.6107339420862.29406319197305
0.6119.0952537057602.28490795883713
0.61119.5774838603492.25713739690936
0.62120.0543118880032.21203021605476
0.63120.5232431521812.15415073895638
0.64120.9830826144342.0909680829715
0.65121.4344985508422.03252709391992
0.66121.8804361023171.99002714066813
0.67122.3263749402921.97535321651691
0.68122.7804485247012.00067634933403
0.69123.2534642143972.07701729531147
0.7123.7588834549082.21417588550693
0.71124.3128318985732.42064562947297
0.72124.9341949489302.70459534573055
0.73125.6447977222703.07426464784599
0.74126.4695660244533.53912488962278
0.75127.4364431723294.10754147262799
0.76128.5757586578204.78432369738921
0.77129.9187860758175.56565289683857
0.78131.4954311577016.43501760712484
0.79133.3313037370227.36167876060388
0.8135.4446850713368.3034747502381
0.81137.8438983633499.21272061588853
0.82140.52524221901910.0418217430855
0.83143.47115778822010.7448296910907
0.84146.64815982984511.2736798068110
0.85150.00474624282211.5740461170334
0.86153.47095286006411.5879894886162
0.87156.96248711968311.2724782289191
0.88160.3919140901610.6297338484226
0.89163.6862202928359.73280386011925
0.9166.8052769858448.72399059580457
0.91169.7525934511617.77389292542591
0.92172.5720044155267.01009737226167
0.93175.3320866027276.45988528619438
0.94178.1088012049036.06421649868622
0.95180.9762538028215.75413856103316
0.96183.9982809853775.49138797586256
0.97187.1878915079295.17467585821374
0.98190.3986088360564.47379812198210
0.99193.1652594851983.11748960953697

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 82.7657041983349 & 2.18167864770329 \tabularnewline
0.02 & 84.3975220615449 & 1.99284795720057 \tabularnewline
0.03 & 85.8202203649167 & 1.71935062967128 \tabularnewline
0.04 & 86.8841679980632 & 1.38888486118836 \tabularnewline
0.05 & 87.6593867732681 & 1.14478412474294 \tabularnewline
0.06 & 88.2590463546597 & 1.08708183409941 \tabularnewline
0.07 & 88.7893581286836 & 1.22542915353441 \tabularnewline
0.08 & 89.3318178165763 & 1.50384353263378 \tabularnewline
0.09 & 89.9366794559857 & 1.85013930832150 \tabularnewline
0.1 & 90.6236503646374 & 2.19408516981166 \tabularnewline
0.11 & 91.3865945584621 & 2.47172908776152 \tabularnewline
0.12 & 92.200660532152 & 2.63714253805384 \tabularnewline
0.13 & 93.0311443767546 & 2.67274597387427 \tabularnewline
0.14 & 93.8428001934784 & 2.59199286837902 \tabularnewline
0.15 & 94.607588678427 & 2.43163870022989 \tabularnewline
0.16 & 95.3091641238492 & 2.23732654389991 \tabularnewline
0.17 & 95.9436363253976 & 2.0513371461941 \tabularnewline
0.18 & 96.517425475533 & 1.90456988927373 \tabularnewline
0.19 & 97.0436417637145 & 1.81461924083491 \tabularnewline
0.2 & 97.538290346911 & 1.78588613389672 \tabularnewline
0.21 & 98.0171018893395 & 1.81193600338736 \tabularnewline
0.22 & 98.4933171298024 & 1.87860124872001 \tabularnewline
0.23 & 98.9764760557637 & 1.96868803543641 \tabularnewline
0.24 & 99.4721314516567 & 2.06583929715372 \tabularnewline
0.25 & 99.9823184724285 & 2.15815986688197 \tabularnewline
0.26 & 100.506521118338 & 2.23930017890002 \tabularnewline
0.27 & 101.042810933662 & 2.30761679977228 \tabularnewline
0.28 & 101.588841856576 & 2.36587196932988 \tabularnewline
0.29 & 102.142484479694 & 2.4167856773262 \tabularnewline
0.3 & 102.702040801895 & 2.46287193766044 \tabularnewline
0.31 & 103.266135558092 & 2.50411879551822 \tabularnewline
0.32 & 103.833475555555 & 2.53883022314270 \tabularnewline
0.33 & 104.402676905880 & 2.56492348279501 \tabularnewline
0.34 & 104.972290768396 & 2.58148816471521 \tabularnewline
0.35 & 105.541047117972 & 2.58983643526739 \tabularnewline
0.36 & 106.108228269709 & 2.59417750501675 \tabularnewline
0.37 & 106.674017054173 & 2.60038921332651 \tabularnewline
0.38 & 107.239658048264 & 2.61554944756020 \tabularnewline
0.39 & 107.807322302147 & 2.64452097374872 \tabularnewline
0.4 & 108.379656990202 & 2.68926513309542 \tabularnewline
0.41 & 108.959101663681 & 2.74617575969706 \tabularnewline
0.42 & 109.547131681886 & 2.80778936889845 \tabularnewline
0.43 & 110.143623874241 & 2.86333586877618 \tabularnewline
0.44 & 110.746519875139 & 2.90168416157682 \tabularnewline
0.45 & 111.351894636513 & 2.91271618839586 \tabularnewline
0.46 & 111.954440293912 & 2.89080018535547 \tabularnewline
0.47 & 112.548275141254 & 2.83547322165062 \tabularnewline
0.48 & 113.127910008650 & 2.75111596579751 \tabularnewline
0.49 & 113.689168538929 & 2.64744530797815 \tabularnewline
0.5 & 114.229870588388 & 2.53663397601097 \tabularnewline
0.51 & 114.750143501176 & 2.43186519548986 \tabularnewline
0.52 & 115.252308725987 & 2.34458010358391 \tabularnewline
0.53 & 115.740380635545 & 2.28269923498017 \tabularnewline
0.54 & 116.219290448325 & 2.2489728359158 \tabularnewline
0.55 & 116.693995757703 & 2.24068048672382 \tabularnewline
0.56 & 117.168647883517 & 2.25076529424607 \tabularnewline
0.57 & 117.645965956380 & 2.26942039579421 \tabularnewline
0.58 & 118.126916546797 & 2.28694403833715 \tabularnewline
0.59 & 118.610733942086 & 2.29406319197305 \tabularnewline
0.6 & 119.095253705760 & 2.28490795883713 \tabularnewline
0.61 & 119.577483860349 & 2.25713739690936 \tabularnewline
0.62 & 120.054311888003 & 2.21203021605476 \tabularnewline
0.63 & 120.523243152181 & 2.15415073895638 \tabularnewline
0.64 & 120.983082614434 & 2.0909680829715 \tabularnewline
0.65 & 121.434498550842 & 2.03252709391992 \tabularnewline
0.66 & 121.880436102317 & 1.99002714066813 \tabularnewline
0.67 & 122.326374940292 & 1.97535321651691 \tabularnewline
0.68 & 122.780448524701 & 2.00067634933403 \tabularnewline
0.69 & 123.253464214397 & 2.07701729531147 \tabularnewline
0.7 & 123.758883454908 & 2.21417588550693 \tabularnewline
0.71 & 124.312831898573 & 2.42064562947297 \tabularnewline
0.72 & 124.934194948930 & 2.70459534573055 \tabularnewline
0.73 & 125.644797722270 & 3.07426464784599 \tabularnewline
0.74 & 126.469566024453 & 3.53912488962278 \tabularnewline
0.75 & 127.436443172329 & 4.10754147262799 \tabularnewline
0.76 & 128.575758657820 & 4.78432369738921 \tabularnewline
0.77 & 129.918786075817 & 5.56565289683857 \tabularnewline
0.78 & 131.495431157701 & 6.43501760712484 \tabularnewline
0.79 & 133.331303737022 & 7.36167876060388 \tabularnewline
0.8 & 135.444685071336 & 8.3034747502381 \tabularnewline
0.81 & 137.843898363349 & 9.21272061588853 \tabularnewline
0.82 & 140.525242219019 & 10.0418217430855 \tabularnewline
0.83 & 143.471157788220 & 10.7448296910907 \tabularnewline
0.84 & 146.648159829845 & 11.2736798068110 \tabularnewline
0.85 & 150.004746242822 & 11.5740461170334 \tabularnewline
0.86 & 153.470952860064 & 11.5879894886162 \tabularnewline
0.87 & 156.962487119683 & 11.2724782289191 \tabularnewline
0.88 & 160.39191409016 & 10.6297338484226 \tabularnewline
0.89 & 163.686220292835 & 9.73280386011925 \tabularnewline
0.9 & 166.805276985844 & 8.72399059580457 \tabularnewline
0.91 & 169.752593451161 & 7.77389292542591 \tabularnewline
0.92 & 172.572004415526 & 7.01009737226167 \tabularnewline
0.93 & 175.332086602727 & 6.45988528619438 \tabularnewline
0.94 & 178.108801204903 & 6.06421649868622 \tabularnewline
0.95 & 180.976253802821 & 5.75413856103316 \tabularnewline
0.96 & 183.998280985377 & 5.49138797586256 \tabularnewline
0.97 & 187.187891507929 & 5.17467585821374 \tabularnewline
0.98 & 190.398608836056 & 4.47379812198210 \tabularnewline
0.99 & 193.165259485198 & 3.11748960953697 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13921&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]82.7657041983349[/C][C]2.18167864770329[/C][/ROW]
[ROW][C]0.02[/C][C]84.3975220615449[/C][C]1.99284795720057[/C][/ROW]
[ROW][C]0.03[/C][C]85.8202203649167[/C][C]1.71935062967128[/C][/ROW]
[ROW][C]0.04[/C][C]86.8841679980632[/C][C]1.38888486118836[/C][/ROW]
[ROW][C]0.05[/C][C]87.6593867732681[/C][C]1.14478412474294[/C][/ROW]
[ROW][C]0.06[/C][C]88.2590463546597[/C][C]1.08708183409941[/C][/ROW]
[ROW][C]0.07[/C][C]88.7893581286836[/C][C]1.22542915353441[/C][/ROW]
[ROW][C]0.08[/C][C]89.3318178165763[/C][C]1.50384353263378[/C][/ROW]
[ROW][C]0.09[/C][C]89.9366794559857[/C][C]1.85013930832150[/C][/ROW]
[ROW][C]0.1[/C][C]90.6236503646374[/C][C]2.19408516981166[/C][/ROW]
[ROW][C]0.11[/C][C]91.3865945584621[/C][C]2.47172908776152[/C][/ROW]
[ROW][C]0.12[/C][C]92.200660532152[/C][C]2.63714253805384[/C][/ROW]
[ROW][C]0.13[/C][C]93.0311443767546[/C][C]2.67274597387427[/C][/ROW]
[ROW][C]0.14[/C][C]93.8428001934784[/C][C]2.59199286837902[/C][/ROW]
[ROW][C]0.15[/C][C]94.607588678427[/C][C]2.43163870022989[/C][/ROW]
[ROW][C]0.16[/C][C]95.3091641238492[/C][C]2.23732654389991[/C][/ROW]
[ROW][C]0.17[/C][C]95.9436363253976[/C][C]2.0513371461941[/C][/ROW]
[ROW][C]0.18[/C][C]96.517425475533[/C][C]1.90456988927373[/C][/ROW]
[ROW][C]0.19[/C][C]97.0436417637145[/C][C]1.81461924083491[/C][/ROW]
[ROW][C]0.2[/C][C]97.538290346911[/C][C]1.78588613389672[/C][/ROW]
[ROW][C]0.21[/C][C]98.0171018893395[/C][C]1.81193600338736[/C][/ROW]
[ROW][C]0.22[/C][C]98.4933171298024[/C][C]1.87860124872001[/C][/ROW]
[ROW][C]0.23[/C][C]98.9764760557637[/C][C]1.96868803543641[/C][/ROW]
[ROW][C]0.24[/C][C]99.4721314516567[/C][C]2.06583929715372[/C][/ROW]
[ROW][C]0.25[/C][C]99.9823184724285[/C][C]2.15815986688197[/C][/ROW]
[ROW][C]0.26[/C][C]100.506521118338[/C][C]2.23930017890002[/C][/ROW]
[ROW][C]0.27[/C][C]101.042810933662[/C][C]2.30761679977228[/C][/ROW]
[ROW][C]0.28[/C][C]101.588841856576[/C][C]2.36587196932988[/C][/ROW]
[ROW][C]0.29[/C][C]102.142484479694[/C][C]2.4167856773262[/C][/ROW]
[ROW][C]0.3[/C][C]102.702040801895[/C][C]2.46287193766044[/C][/ROW]
[ROW][C]0.31[/C][C]103.266135558092[/C][C]2.50411879551822[/C][/ROW]
[ROW][C]0.32[/C][C]103.833475555555[/C][C]2.53883022314270[/C][/ROW]
[ROW][C]0.33[/C][C]104.402676905880[/C][C]2.56492348279501[/C][/ROW]
[ROW][C]0.34[/C][C]104.972290768396[/C][C]2.58148816471521[/C][/ROW]
[ROW][C]0.35[/C][C]105.541047117972[/C][C]2.58983643526739[/C][/ROW]
[ROW][C]0.36[/C][C]106.108228269709[/C][C]2.59417750501675[/C][/ROW]
[ROW][C]0.37[/C][C]106.674017054173[/C][C]2.60038921332651[/C][/ROW]
[ROW][C]0.38[/C][C]107.239658048264[/C][C]2.61554944756020[/C][/ROW]
[ROW][C]0.39[/C][C]107.807322302147[/C][C]2.64452097374872[/C][/ROW]
[ROW][C]0.4[/C][C]108.379656990202[/C][C]2.68926513309542[/C][/ROW]
[ROW][C]0.41[/C][C]108.959101663681[/C][C]2.74617575969706[/C][/ROW]
[ROW][C]0.42[/C][C]109.547131681886[/C][C]2.80778936889845[/C][/ROW]
[ROW][C]0.43[/C][C]110.143623874241[/C][C]2.86333586877618[/C][/ROW]
[ROW][C]0.44[/C][C]110.746519875139[/C][C]2.90168416157682[/C][/ROW]
[ROW][C]0.45[/C][C]111.351894636513[/C][C]2.91271618839586[/C][/ROW]
[ROW][C]0.46[/C][C]111.954440293912[/C][C]2.89080018535547[/C][/ROW]
[ROW][C]0.47[/C][C]112.548275141254[/C][C]2.83547322165062[/C][/ROW]
[ROW][C]0.48[/C][C]113.127910008650[/C][C]2.75111596579751[/C][/ROW]
[ROW][C]0.49[/C][C]113.689168538929[/C][C]2.64744530797815[/C][/ROW]
[ROW][C]0.5[/C][C]114.229870588388[/C][C]2.53663397601097[/C][/ROW]
[ROW][C]0.51[/C][C]114.750143501176[/C][C]2.43186519548986[/C][/ROW]
[ROW][C]0.52[/C][C]115.252308725987[/C][C]2.34458010358391[/C][/ROW]
[ROW][C]0.53[/C][C]115.740380635545[/C][C]2.28269923498017[/C][/ROW]
[ROW][C]0.54[/C][C]116.219290448325[/C][C]2.2489728359158[/C][/ROW]
[ROW][C]0.55[/C][C]116.693995757703[/C][C]2.24068048672382[/C][/ROW]
[ROW][C]0.56[/C][C]117.168647883517[/C][C]2.25076529424607[/C][/ROW]
[ROW][C]0.57[/C][C]117.645965956380[/C][C]2.26942039579421[/C][/ROW]
[ROW][C]0.58[/C][C]118.126916546797[/C][C]2.28694403833715[/C][/ROW]
[ROW][C]0.59[/C][C]118.610733942086[/C][C]2.29406319197305[/C][/ROW]
[ROW][C]0.6[/C][C]119.095253705760[/C][C]2.28490795883713[/C][/ROW]
[ROW][C]0.61[/C][C]119.577483860349[/C][C]2.25713739690936[/C][/ROW]
[ROW][C]0.62[/C][C]120.054311888003[/C][C]2.21203021605476[/C][/ROW]
[ROW][C]0.63[/C][C]120.523243152181[/C][C]2.15415073895638[/C][/ROW]
[ROW][C]0.64[/C][C]120.983082614434[/C][C]2.0909680829715[/C][/ROW]
[ROW][C]0.65[/C][C]121.434498550842[/C][C]2.03252709391992[/C][/ROW]
[ROW][C]0.66[/C][C]121.880436102317[/C][C]1.99002714066813[/C][/ROW]
[ROW][C]0.67[/C][C]122.326374940292[/C][C]1.97535321651691[/C][/ROW]
[ROW][C]0.68[/C][C]122.780448524701[/C][C]2.00067634933403[/C][/ROW]
[ROW][C]0.69[/C][C]123.253464214397[/C][C]2.07701729531147[/C][/ROW]
[ROW][C]0.7[/C][C]123.758883454908[/C][C]2.21417588550693[/C][/ROW]
[ROW][C]0.71[/C][C]124.312831898573[/C][C]2.42064562947297[/C][/ROW]
[ROW][C]0.72[/C][C]124.934194948930[/C][C]2.70459534573055[/C][/ROW]
[ROW][C]0.73[/C][C]125.644797722270[/C][C]3.07426464784599[/C][/ROW]
[ROW][C]0.74[/C][C]126.469566024453[/C][C]3.53912488962278[/C][/ROW]
[ROW][C]0.75[/C][C]127.436443172329[/C][C]4.10754147262799[/C][/ROW]
[ROW][C]0.76[/C][C]128.575758657820[/C][C]4.78432369738921[/C][/ROW]
[ROW][C]0.77[/C][C]129.918786075817[/C][C]5.56565289683857[/C][/ROW]
[ROW][C]0.78[/C][C]131.495431157701[/C][C]6.43501760712484[/C][/ROW]
[ROW][C]0.79[/C][C]133.331303737022[/C][C]7.36167876060388[/C][/ROW]
[ROW][C]0.8[/C][C]135.444685071336[/C][C]8.3034747502381[/C][/ROW]
[ROW][C]0.81[/C][C]137.843898363349[/C][C]9.21272061588853[/C][/ROW]
[ROW][C]0.82[/C][C]140.525242219019[/C][C]10.0418217430855[/C][/ROW]
[ROW][C]0.83[/C][C]143.471157788220[/C][C]10.7448296910907[/C][/ROW]
[ROW][C]0.84[/C][C]146.648159829845[/C][C]11.2736798068110[/C][/ROW]
[ROW][C]0.85[/C][C]150.004746242822[/C][C]11.5740461170334[/C][/ROW]
[ROW][C]0.86[/C][C]153.470952860064[/C][C]11.5879894886162[/C][/ROW]
[ROW][C]0.87[/C][C]156.962487119683[/C][C]11.2724782289191[/C][/ROW]
[ROW][C]0.88[/C][C]160.39191409016[/C][C]10.6297338484226[/C][/ROW]
[ROW][C]0.89[/C][C]163.686220292835[/C][C]9.73280386011925[/C][/ROW]
[ROW][C]0.9[/C][C]166.805276985844[/C][C]8.72399059580457[/C][/ROW]
[ROW][C]0.91[/C][C]169.752593451161[/C][C]7.77389292542591[/C][/ROW]
[ROW][C]0.92[/C][C]172.572004415526[/C][C]7.01009737226167[/C][/ROW]
[ROW][C]0.93[/C][C]175.332086602727[/C][C]6.45988528619438[/C][/ROW]
[ROW][C]0.94[/C][C]178.108801204903[/C][C]6.06421649868622[/C][/ROW]
[ROW][C]0.95[/C][C]180.976253802821[/C][C]5.75413856103316[/C][/ROW]
[ROW][C]0.96[/C][C]183.998280985377[/C][C]5.49138797586256[/C][/ROW]
[ROW][C]0.97[/C][C]187.187891507929[/C][C]5.17467585821374[/C][/ROW]
[ROW][C]0.98[/C][C]190.398608836056[/C][C]4.47379812198210[/C][/ROW]
[ROW][C]0.99[/C][C]193.165259485198[/C][C]3.11748960953697[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13921&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13921&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
0.0182.76570419833492.18167864770329
0.0284.39752206154491.99284795720057
0.0385.82022036491671.71935062967128
0.0486.88416799806321.38888486118836
0.0587.65938677326811.14478412474294
0.0688.25904635465971.08708183409941
0.0788.78935812868361.22542915353441
0.0889.33181781657631.50384353263378
0.0989.93667945598571.85013930832150
0.190.62365036463742.19408516981166
0.1191.38659455846212.47172908776152
0.1292.2006605321522.63714253805384
0.1393.03114437675462.67274597387427
0.1493.84280019347842.59199286837902
0.1594.6075886784272.43163870022989
0.1695.30916412384922.23732654389991
0.1795.94363632539762.0513371461941
0.1896.5174254755331.90456988927373
0.1997.04364176371451.81461924083491
0.297.5382903469111.78588613389672
0.2198.01710188933951.81193600338736
0.2298.49331712980241.87860124872001
0.2398.97647605576371.96868803543641
0.2499.47213145165672.06583929715372
0.2599.98231847242852.15815986688197
0.26100.5065211183382.23930017890002
0.27101.0428109336622.30761679977228
0.28101.5888418565762.36587196932988
0.29102.1424844796942.4167856773262
0.3102.7020408018952.46287193766044
0.31103.2661355580922.50411879551822
0.32103.8334755555552.53883022314270
0.33104.4026769058802.56492348279501
0.34104.9722907683962.58148816471521
0.35105.5410471179722.58983643526739
0.36106.1082282697092.59417750501675
0.37106.6740170541732.60038921332651
0.38107.2396580482642.61554944756020
0.39107.8073223021472.64452097374872
0.4108.3796569902022.68926513309542
0.41108.9591016636812.74617575969706
0.42109.5471316818862.80778936889845
0.43110.1436238742412.86333586877618
0.44110.7465198751392.90168416157682
0.45111.3518946365132.91271618839586
0.46111.9544402939122.89080018535547
0.47112.5482751412542.83547322165062
0.48113.1279100086502.75111596579751
0.49113.6891685389292.64744530797815
0.5114.2298705883882.53663397601097
0.51114.7501435011762.43186519548986
0.52115.2523087259872.34458010358391
0.53115.7403806355452.28269923498017
0.54116.2192904483252.2489728359158
0.55116.6939957577032.24068048672382
0.56117.1686478835172.25076529424607
0.57117.6459659563802.26942039579421
0.58118.1269165467972.28694403833715
0.59118.6107339420862.29406319197305
0.6119.0952537057602.28490795883713
0.61119.5774838603492.25713739690936
0.62120.0543118880032.21203021605476
0.63120.5232431521812.15415073895638
0.64120.9830826144342.0909680829715
0.65121.4344985508422.03252709391992
0.66121.8804361023171.99002714066813
0.67122.3263749402921.97535321651691
0.68122.7804485247012.00067634933403
0.69123.2534642143972.07701729531147
0.7123.7588834549082.21417588550693
0.71124.3128318985732.42064562947297
0.72124.9341949489302.70459534573055
0.73125.6447977222703.07426464784599
0.74126.4695660244533.53912488962278
0.75127.4364431723294.10754147262799
0.76128.5757586578204.78432369738921
0.77129.9187860758175.56565289683857
0.78131.4954311577016.43501760712484
0.79133.3313037370227.36167876060388
0.8135.4446850713368.3034747502381
0.81137.8438983633499.21272061588853
0.82140.52524221901910.0418217430855
0.83143.47115778822010.7448296910907
0.84146.64815982984511.2736798068110
0.85150.00474624282211.5740461170334
0.86153.47095286006411.5879894886162
0.87156.96248711968311.2724782289191
0.88160.3919140901610.6297338484226
0.89163.6862202928359.73280386011925
0.9166.8052769858448.72399059580457
0.91169.7525934511617.77389292542591
0.92172.5720044155267.01009737226167
0.93175.3320866027276.45988528619438
0.94178.1088012049036.06421649868622
0.95180.9762538028215.75413856103316
0.96183.9982809853775.49138797586256
0.97187.1878915079295.17467585821374
0.98190.3986088360564.47379812198210
0.99193.1652594851983.11748960953697


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')