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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 computationTue, 01 Mar 2016 22:55:13 +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/2016/Mar/01/t1456873012mfez4ni9m5bn3td.htm/, Retrieved Sat, 18 May 2024 12:49:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293261, Retrieved Sat, 18 May 2024 12:49:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact84

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Quartiles] [] [2016-03-01 14:56:47] [1a32794f6d0828a41bce1c25d1e3e5ae]
- RMPD    [Harrell-Davis Quantiles] [] [2016-03-01 22:55:13] [3d038f408b3fdbe799ace9817e748893] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
90.4
89.5
88.9
88.4
87.6
87.1
86.5
85.7
85.3
84.9
84.5
84.4
84.3
84.2
84.1
83.8
83.5
83.2
82.8
82.2
81.5
80.8
80.3
79.8
79.2
78.8
78.1
77.8
77.3
76.7
76.2
76.1
76.3
76.2
76.2
76.6
75.5
75.4
75.5
75.5
75.2
74.9
74.6
74.4
74
73.3
72.7
72
71.2
70.9
70.4
70
69.7
69.2
68.7
68.6
68.4
67.9
67.4
66.5
65.6
64.6
63.8
63
62.1
61.7
61.4
61.1
61.1
61
60.5
60.2
59.9
59.4
59.6
59.5
59.3
59.3
59.1
58.8

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293261&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293261&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293261&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0158.90536153556010.256519309278952
0.0259.05196386533090.207448212777318
0.0359.18539447255670.176390870275471
0.0459.29576919297940.181310455681063
0.0559.39671942466920.225962538546509
0.0659.5042727483210.29883362725767
0.0759.6291124729540.386291257692986
0.0859.77588450909230.476459468504149
0.0959.94463108678610.560285456554232
0.160.13268913491080.633198247804085
0.1160.33664136057310.696816602907909
0.1260.5540785939480.759079295934173
0.1360.78486605423910.832167328813257
0.1461.03164200017870.928877363708363
0.1561.29945771838441.05761149141793
0.1661.5947016562241.21972845256353
0.1761.92362999120661.40899017173722
0.1862.29089076320991.61357904333941
0.1962.69837800993741.81828139706946
0.263.14462617186282.00728172847316
0.2163.62480649554342.16623128341073
0.2264.13125968334892.28432546799598
0.2364.65441545504112.35524153918886
0.2465.18391316722662.37767847831788
0.2565.7097393355182.35527705774415
0.2666.22322535252732.29585951575315
0.2766.71779101304422.21014502580541
0.2867.18936867590582.11092475676511
0.2967.636492901052.01031897322329
0.368.06008562748571.91979544607651
0.3168.46300210928631.84783603687002
0.3268.84942381564071.79966543913766
0.3369.22418977302611.77703416662024
0.3469.59214907403131.77787979203893
0.3569.95759896117291.79763069513283
0.3670.32385071998991.82977705304185
0.3770.69294464191061.86699755961257
0.3871.06551854535451.90151739512498
0.3971.44082232982331.92626857360928
0.471.81686254560581.93557449421814
0.4172.19065420435961.92470774845764
0.4272.55855088685951.8913106198709
0.4372.91661873663211.8351139398274
0.4473.26101639925621.75754554174431
0.4573.58834302689911.66193794086218
0.4673.89592128853971.5530482536813
0.4774.18199193944581.43627860243326
0.4874.44580960675481.31740814604371
0.4974.68764370338131.20177356408685
0.574.90870103928361.09434846893667
0.5175.11099530700490.99919701935002
0.5275.29719162239440.919167617243123
0.5375.47045139507230.856948952840362
0.5475.63429499632020.81377174306544
0.5575.79248909929970.790746701443419
0.5675.94895495038550.788710469986123
0.5776.10768596252840.80777268963861
0.5876.27265997550190.847303010903752
0.5976.44773407481930.90636528571685
0.676.63651716317760.98288582773178
0.6176.84222522987391.07373389040726
0.6277.06753330612861.17534124313315
0.6377.31444336373361.28352128918424
0.6477.58418694008861.39362297315909
0.6577.87717489255851.50141463973482
0.6678.1929962154931.60284008062991
0.6778.53045661639981.69431813239598
0.6878.88763936933831.7727649164186
0.6979.26196892838181.83577902750731
0.779.65026313064241.88095491874731
0.7180.04877134331861.90636669711959
0.7280.45321013286671.9098676056826
0.7380.85882017438361.88985662864572
0.7481.2604736453361.84503471310687
0.7581.65285762434971.77539129646874
0.7682.03074638664891.68204643966705
0.7782.38935724903091.56789851281866
0.7882.7247657299061.43768002218916
0.7983.03434080150591.29796692374795
0.883.31715219654791.15661582819482
0.8183.57429853196761.02255028798389
0.8283.80910523778160.90495375284638
0.8384.02714343574720.812999158233314
0.8484.23602614078860.754647895737976
0.8584.44495040083130.735231859942334
0.8684.66397827970380.755311553208577
0.8784.90308962796470.809545703576724
0.8885.1710953655530.887833236529762
0.8985.47456398250070.976899034235314
0.985.81696470130431.06214821239194
0.9186.19823132193541.1298226534055
0.9286.61487281888631.16885678931287
0.9387.06064470978611.17269504842297
0.9487.52782664787231.13923208750224
0.9588.00951832634691.07028292229883
0.9688.50357261569620.97371396190101
0.9789.01597789006040.870173816098183
0.9889.5506109422790.801578856075735
0.9990.06211309284040.818369570171929

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 58.9053615355601 & 0.256519309278952 \tabularnewline
0.02 & 59.0519638653309 & 0.207448212777318 \tabularnewline
0.03 & 59.1853944725567 & 0.176390870275471 \tabularnewline
0.04 & 59.2957691929794 & 0.181310455681063 \tabularnewline
0.05 & 59.3967194246692 & 0.225962538546509 \tabularnewline
0.06 & 59.504272748321 & 0.29883362725767 \tabularnewline
0.07 & 59.629112472954 & 0.386291257692986 \tabularnewline
0.08 & 59.7758845090923 & 0.476459468504149 \tabularnewline
0.09 & 59.9446310867861 & 0.560285456554232 \tabularnewline
0.1 & 60.1326891349108 & 0.633198247804085 \tabularnewline
0.11 & 60.3366413605731 & 0.696816602907909 \tabularnewline
0.12 & 60.554078593948 & 0.759079295934173 \tabularnewline
0.13 & 60.7848660542391 & 0.832167328813257 \tabularnewline
0.14 & 61.0316420001787 & 0.928877363708363 \tabularnewline
0.15 & 61.2994577183844 & 1.05761149141793 \tabularnewline
0.16 & 61.594701656224 & 1.21972845256353 \tabularnewline
0.17 & 61.9236299912066 & 1.40899017173722 \tabularnewline
0.18 & 62.2908907632099 & 1.61357904333941 \tabularnewline
0.19 & 62.6983780099374 & 1.81828139706946 \tabularnewline
0.2 & 63.1446261718628 & 2.00728172847316 \tabularnewline
0.21 & 63.6248064955434 & 2.16623128341073 \tabularnewline
0.22 & 64.1312596833489 & 2.28432546799598 \tabularnewline
0.23 & 64.6544154550411 & 2.35524153918886 \tabularnewline
0.24 & 65.1839131672266 & 2.37767847831788 \tabularnewline
0.25 & 65.709739335518 & 2.35527705774415 \tabularnewline
0.26 & 66.2232253525273 & 2.29585951575315 \tabularnewline
0.27 & 66.7177910130442 & 2.21014502580541 \tabularnewline
0.28 & 67.1893686759058 & 2.11092475676511 \tabularnewline
0.29 & 67.63649290105 & 2.01031897322329 \tabularnewline
0.3 & 68.0600856274857 & 1.91979544607651 \tabularnewline
0.31 & 68.4630021092863 & 1.84783603687002 \tabularnewline
0.32 & 68.8494238156407 & 1.79966543913766 \tabularnewline
0.33 & 69.2241897730261 & 1.77703416662024 \tabularnewline
0.34 & 69.5921490740313 & 1.77787979203893 \tabularnewline
0.35 & 69.9575989611729 & 1.79763069513283 \tabularnewline
0.36 & 70.3238507199899 & 1.82977705304185 \tabularnewline
0.37 & 70.6929446419106 & 1.86699755961257 \tabularnewline
0.38 & 71.0655185453545 & 1.90151739512498 \tabularnewline
0.39 & 71.4408223298233 & 1.92626857360928 \tabularnewline
0.4 & 71.8168625456058 & 1.93557449421814 \tabularnewline
0.41 & 72.1906542043596 & 1.92470774845764 \tabularnewline
0.42 & 72.5585508868595 & 1.8913106198709 \tabularnewline
0.43 & 72.9166187366321 & 1.8351139398274 \tabularnewline
0.44 & 73.2610163992562 & 1.75754554174431 \tabularnewline
0.45 & 73.5883430268991 & 1.66193794086218 \tabularnewline
0.46 & 73.8959212885397 & 1.5530482536813 \tabularnewline
0.47 & 74.1819919394458 & 1.43627860243326 \tabularnewline
0.48 & 74.4458096067548 & 1.31740814604371 \tabularnewline
0.49 & 74.6876437033813 & 1.20177356408685 \tabularnewline
0.5 & 74.9087010392836 & 1.09434846893667 \tabularnewline
0.51 & 75.1109953070049 & 0.99919701935002 \tabularnewline
0.52 & 75.2971916223944 & 0.919167617243123 \tabularnewline
0.53 & 75.4704513950723 & 0.856948952840362 \tabularnewline
0.54 & 75.6342949963202 & 0.81377174306544 \tabularnewline
0.55 & 75.7924890992997 & 0.790746701443419 \tabularnewline
0.56 & 75.9489549503855 & 0.788710469986123 \tabularnewline
0.57 & 76.1076859625284 & 0.80777268963861 \tabularnewline
0.58 & 76.2726599755019 & 0.847303010903752 \tabularnewline
0.59 & 76.4477340748193 & 0.90636528571685 \tabularnewline
0.6 & 76.6365171631776 & 0.98288582773178 \tabularnewline
0.61 & 76.8422252298739 & 1.07373389040726 \tabularnewline
0.62 & 77.0675333061286 & 1.17534124313315 \tabularnewline
0.63 & 77.3144433637336 & 1.28352128918424 \tabularnewline
0.64 & 77.5841869400886 & 1.39362297315909 \tabularnewline
0.65 & 77.8771748925585 & 1.50141463973482 \tabularnewline
0.66 & 78.192996215493 & 1.60284008062991 \tabularnewline
0.67 & 78.5304566163998 & 1.69431813239598 \tabularnewline
0.68 & 78.8876393693383 & 1.7727649164186 \tabularnewline
0.69 & 79.2619689283818 & 1.83577902750731 \tabularnewline
0.7 & 79.6502631306424 & 1.88095491874731 \tabularnewline
0.71 & 80.0487713433186 & 1.90636669711959 \tabularnewline
0.72 & 80.4532101328667 & 1.9098676056826 \tabularnewline
0.73 & 80.8588201743836 & 1.88985662864572 \tabularnewline
0.74 & 81.260473645336 & 1.84503471310687 \tabularnewline
0.75 & 81.6528576243497 & 1.77539129646874 \tabularnewline
0.76 & 82.0307463866489 & 1.68204643966705 \tabularnewline
0.77 & 82.3893572490309 & 1.56789851281866 \tabularnewline
0.78 & 82.724765729906 & 1.43768002218916 \tabularnewline
0.79 & 83.0343408015059 & 1.29796692374795 \tabularnewline
0.8 & 83.3171521965479 & 1.15661582819482 \tabularnewline
0.81 & 83.5742985319676 & 1.02255028798389 \tabularnewline
0.82 & 83.8091052377816 & 0.90495375284638 \tabularnewline
0.83 & 84.0271434357472 & 0.812999158233314 \tabularnewline
0.84 & 84.2360261407886 & 0.754647895737976 \tabularnewline
0.85 & 84.4449504008313 & 0.735231859942334 \tabularnewline
0.86 & 84.6639782797038 & 0.755311553208577 \tabularnewline
0.87 & 84.9030896279647 & 0.809545703576724 \tabularnewline
0.88 & 85.171095365553 & 0.887833236529762 \tabularnewline
0.89 & 85.4745639825007 & 0.976899034235314 \tabularnewline
0.9 & 85.8169647013043 & 1.06214821239194 \tabularnewline
0.91 & 86.1982313219354 & 1.1298226534055 \tabularnewline
0.92 & 86.6148728188863 & 1.16885678931287 \tabularnewline
0.93 & 87.0606447097861 & 1.17269504842297 \tabularnewline
0.94 & 87.5278266478723 & 1.13923208750224 \tabularnewline
0.95 & 88.0095183263469 & 1.07028292229883 \tabularnewline
0.96 & 88.5035726156962 & 0.97371396190101 \tabularnewline
0.97 & 89.0159778900604 & 0.870173816098183 \tabularnewline
0.98 & 89.550610942279 & 0.801578856075735 \tabularnewline
0.99 & 90.0621130928404 & 0.818369570171929 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293261&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]58.9053615355601[/C][C]0.256519309278952[/C][/ROW]
[ROW][C]0.02[/C][C]59.0519638653309[/C][C]0.207448212777318[/C][/ROW]
[ROW][C]0.03[/C][C]59.1853944725567[/C][C]0.176390870275471[/C][/ROW]
[ROW][C]0.04[/C][C]59.2957691929794[/C][C]0.181310455681063[/C][/ROW]
[ROW][C]0.05[/C][C]59.3967194246692[/C][C]0.225962538546509[/C][/ROW]
[ROW][C]0.06[/C][C]59.504272748321[/C][C]0.29883362725767[/C][/ROW]
[ROW][C]0.07[/C][C]59.629112472954[/C][C]0.386291257692986[/C][/ROW]
[ROW][C]0.08[/C][C]59.7758845090923[/C][C]0.476459468504149[/C][/ROW]
[ROW][C]0.09[/C][C]59.9446310867861[/C][C]0.560285456554232[/C][/ROW]
[ROW][C]0.1[/C][C]60.1326891349108[/C][C]0.633198247804085[/C][/ROW]
[ROW][C]0.11[/C][C]60.3366413605731[/C][C]0.696816602907909[/C][/ROW]
[ROW][C]0.12[/C][C]60.554078593948[/C][C]0.759079295934173[/C][/ROW]
[ROW][C]0.13[/C][C]60.7848660542391[/C][C]0.832167328813257[/C][/ROW]
[ROW][C]0.14[/C][C]61.0316420001787[/C][C]0.928877363708363[/C][/ROW]
[ROW][C]0.15[/C][C]61.2994577183844[/C][C]1.05761149141793[/C][/ROW]
[ROW][C]0.16[/C][C]61.594701656224[/C][C]1.21972845256353[/C][/ROW]
[ROW][C]0.17[/C][C]61.9236299912066[/C][C]1.40899017173722[/C][/ROW]
[ROW][C]0.18[/C][C]62.2908907632099[/C][C]1.61357904333941[/C][/ROW]
[ROW][C]0.19[/C][C]62.6983780099374[/C][C]1.81828139706946[/C][/ROW]
[ROW][C]0.2[/C][C]63.1446261718628[/C][C]2.00728172847316[/C][/ROW]
[ROW][C]0.21[/C][C]63.6248064955434[/C][C]2.16623128341073[/C][/ROW]
[ROW][C]0.22[/C][C]64.1312596833489[/C][C]2.28432546799598[/C][/ROW]
[ROW][C]0.23[/C][C]64.6544154550411[/C][C]2.35524153918886[/C][/ROW]
[ROW][C]0.24[/C][C]65.1839131672266[/C][C]2.37767847831788[/C][/ROW]
[ROW][C]0.25[/C][C]65.709739335518[/C][C]2.35527705774415[/C][/ROW]
[ROW][C]0.26[/C][C]66.2232253525273[/C][C]2.29585951575315[/C][/ROW]
[ROW][C]0.27[/C][C]66.7177910130442[/C][C]2.21014502580541[/C][/ROW]
[ROW][C]0.28[/C][C]67.1893686759058[/C][C]2.11092475676511[/C][/ROW]
[ROW][C]0.29[/C][C]67.63649290105[/C][C]2.01031897322329[/C][/ROW]
[ROW][C]0.3[/C][C]68.0600856274857[/C][C]1.91979544607651[/C][/ROW]
[ROW][C]0.31[/C][C]68.4630021092863[/C][C]1.84783603687002[/C][/ROW]
[ROW][C]0.32[/C][C]68.8494238156407[/C][C]1.79966543913766[/C][/ROW]
[ROW][C]0.33[/C][C]69.2241897730261[/C][C]1.77703416662024[/C][/ROW]
[ROW][C]0.34[/C][C]69.5921490740313[/C][C]1.77787979203893[/C][/ROW]
[ROW][C]0.35[/C][C]69.9575989611729[/C][C]1.79763069513283[/C][/ROW]
[ROW][C]0.36[/C][C]70.3238507199899[/C][C]1.82977705304185[/C][/ROW]
[ROW][C]0.37[/C][C]70.6929446419106[/C][C]1.86699755961257[/C][/ROW]
[ROW][C]0.38[/C][C]71.0655185453545[/C][C]1.90151739512498[/C][/ROW]
[ROW][C]0.39[/C][C]71.4408223298233[/C][C]1.92626857360928[/C][/ROW]
[ROW][C]0.4[/C][C]71.8168625456058[/C][C]1.93557449421814[/C][/ROW]
[ROW][C]0.41[/C][C]72.1906542043596[/C][C]1.92470774845764[/C][/ROW]
[ROW][C]0.42[/C][C]72.5585508868595[/C][C]1.8913106198709[/C][/ROW]
[ROW][C]0.43[/C][C]72.9166187366321[/C][C]1.8351139398274[/C][/ROW]
[ROW][C]0.44[/C][C]73.2610163992562[/C][C]1.75754554174431[/C][/ROW]
[ROW][C]0.45[/C][C]73.5883430268991[/C][C]1.66193794086218[/C][/ROW]
[ROW][C]0.46[/C][C]73.8959212885397[/C][C]1.5530482536813[/C][/ROW]
[ROW][C]0.47[/C][C]74.1819919394458[/C][C]1.43627860243326[/C][/ROW]
[ROW][C]0.48[/C][C]74.4458096067548[/C][C]1.31740814604371[/C][/ROW]
[ROW][C]0.49[/C][C]74.6876437033813[/C][C]1.20177356408685[/C][/ROW]
[ROW][C]0.5[/C][C]74.9087010392836[/C][C]1.09434846893667[/C][/ROW]
[ROW][C]0.51[/C][C]75.1109953070049[/C][C]0.99919701935002[/C][/ROW]
[ROW][C]0.52[/C][C]75.2971916223944[/C][C]0.919167617243123[/C][/ROW]
[ROW][C]0.53[/C][C]75.4704513950723[/C][C]0.856948952840362[/C][/ROW]
[ROW][C]0.54[/C][C]75.6342949963202[/C][C]0.81377174306544[/C][/ROW]
[ROW][C]0.55[/C][C]75.7924890992997[/C][C]0.790746701443419[/C][/ROW]
[ROW][C]0.56[/C][C]75.9489549503855[/C][C]0.788710469986123[/C][/ROW]
[ROW][C]0.57[/C][C]76.1076859625284[/C][C]0.80777268963861[/C][/ROW]
[ROW][C]0.58[/C][C]76.2726599755019[/C][C]0.847303010903752[/C][/ROW]
[ROW][C]0.59[/C][C]76.4477340748193[/C][C]0.90636528571685[/C][/ROW]
[ROW][C]0.6[/C][C]76.6365171631776[/C][C]0.98288582773178[/C][/ROW]
[ROW][C]0.61[/C][C]76.8422252298739[/C][C]1.07373389040726[/C][/ROW]
[ROW][C]0.62[/C][C]77.0675333061286[/C][C]1.17534124313315[/C][/ROW]
[ROW][C]0.63[/C][C]77.3144433637336[/C][C]1.28352128918424[/C][/ROW]
[ROW][C]0.64[/C][C]77.5841869400886[/C][C]1.39362297315909[/C][/ROW]
[ROW][C]0.65[/C][C]77.8771748925585[/C][C]1.50141463973482[/C][/ROW]
[ROW][C]0.66[/C][C]78.192996215493[/C][C]1.60284008062991[/C][/ROW]
[ROW][C]0.67[/C][C]78.5304566163998[/C][C]1.69431813239598[/C][/ROW]
[ROW][C]0.68[/C][C]78.8876393693383[/C][C]1.7727649164186[/C][/ROW]
[ROW][C]0.69[/C][C]79.2619689283818[/C][C]1.83577902750731[/C][/ROW]
[ROW][C]0.7[/C][C]79.6502631306424[/C][C]1.88095491874731[/C][/ROW]
[ROW][C]0.71[/C][C]80.0487713433186[/C][C]1.90636669711959[/C][/ROW]
[ROW][C]0.72[/C][C]80.4532101328667[/C][C]1.9098676056826[/C][/ROW]
[ROW][C]0.73[/C][C]80.8588201743836[/C][C]1.88985662864572[/C][/ROW]
[ROW][C]0.74[/C][C]81.260473645336[/C][C]1.84503471310687[/C][/ROW]
[ROW][C]0.75[/C][C]81.6528576243497[/C][C]1.77539129646874[/C][/ROW]
[ROW][C]0.76[/C][C]82.0307463866489[/C][C]1.68204643966705[/C][/ROW]
[ROW][C]0.77[/C][C]82.3893572490309[/C][C]1.56789851281866[/C][/ROW]
[ROW][C]0.78[/C][C]82.724765729906[/C][C]1.43768002218916[/C][/ROW]
[ROW][C]0.79[/C][C]83.0343408015059[/C][C]1.29796692374795[/C][/ROW]
[ROW][C]0.8[/C][C]83.3171521965479[/C][C]1.15661582819482[/C][/ROW]
[ROW][C]0.81[/C][C]83.5742985319676[/C][C]1.02255028798389[/C][/ROW]
[ROW][C]0.82[/C][C]83.8091052377816[/C][C]0.90495375284638[/C][/ROW]
[ROW][C]0.83[/C][C]84.0271434357472[/C][C]0.812999158233314[/C][/ROW]
[ROW][C]0.84[/C][C]84.2360261407886[/C][C]0.754647895737976[/C][/ROW]
[ROW][C]0.85[/C][C]84.4449504008313[/C][C]0.735231859942334[/C][/ROW]
[ROW][C]0.86[/C][C]84.6639782797038[/C][C]0.755311553208577[/C][/ROW]
[ROW][C]0.87[/C][C]84.9030896279647[/C][C]0.809545703576724[/C][/ROW]
[ROW][C]0.88[/C][C]85.171095365553[/C][C]0.887833236529762[/C][/ROW]
[ROW][C]0.89[/C][C]85.4745639825007[/C][C]0.976899034235314[/C][/ROW]
[ROW][C]0.9[/C][C]85.8169647013043[/C][C]1.06214821239194[/C][/ROW]
[ROW][C]0.91[/C][C]86.1982313219354[/C][C]1.1298226534055[/C][/ROW]
[ROW][C]0.92[/C][C]86.6148728188863[/C][C]1.16885678931287[/C][/ROW]
[ROW][C]0.93[/C][C]87.0606447097861[/C][C]1.17269504842297[/C][/ROW]
[ROW][C]0.94[/C][C]87.5278266478723[/C][C]1.13923208750224[/C][/ROW]
[ROW][C]0.95[/C][C]88.0095183263469[/C][C]1.07028292229883[/C][/ROW]
[ROW][C]0.96[/C][C]88.5035726156962[/C][C]0.97371396190101[/C][/ROW]
[ROW][C]0.97[/C][C]89.0159778900604[/C][C]0.870173816098183[/C][/ROW]
[ROW][C]0.98[/C][C]89.550610942279[/C][C]0.801578856075735[/C][/ROW]
[ROW][C]0.99[/C][C]90.0621130928404[/C][C]0.818369570171929[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293261&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293261&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
0.0158.90536153556010.256519309278952
0.0259.05196386533090.207448212777318
0.0359.18539447255670.176390870275471
0.0459.29576919297940.181310455681063
0.0559.39671942466920.225962538546509
0.0659.5042727483210.29883362725767
0.0759.6291124729540.386291257692986
0.0859.77588450909230.476459468504149
0.0959.94463108678610.560285456554232
0.160.13268913491080.633198247804085
0.1160.33664136057310.696816602907909
0.1260.5540785939480.759079295934173
0.1360.78486605423910.832167328813257
0.1461.03164200017870.928877363708363
0.1561.29945771838441.05761149141793
0.1661.5947016562241.21972845256353
0.1761.92362999120661.40899017173722
0.1862.29089076320991.61357904333941
0.1962.69837800993741.81828139706946
0.263.14462617186282.00728172847316
0.2163.62480649554342.16623128341073
0.2264.13125968334892.28432546799598
0.2364.65441545504112.35524153918886
0.2465.18391316722662.37767847831788
0.2565.7097393355182.35527705774415
0.2666.22322535252732.29585951575315
0.2766.71779101304422.21014502580541
0.2867.18936867590582.11092475676511
0.2967.636492901052.01031897322329
0.368.06008562748571.91979544607651
0.3168.46300210928631.84783603687002
0.3268.84942381564071.79966543913766
0.3369.22418977302611.77703416662024
0.3469.59214907403131.77787979203893
0.3569.95759896117291.79763069513283
0.3670.32385071998991.82977705304185
0.3770.69294464191061.86699755961257
0.3871.06551854535451.90151739512498
0.3971.44082232982331.92626857360928
0.471.81686254560581.93557449421814
0.4172.19065420435961.92470774845764
0.4272.55855088685951.8913106198709
0.4372.91661873663211.8351139398274
0.4473.26101639925621.75754554174431
0.4573.58834302689911.66193794086218
0.4673.89592128853971.5530482536813
0.4774.18199193944581.43627860243326
0.4874.44580960675481.31740814604371
0.4974.68764370338131.20177356408685
0.574.90870103928361.09434846893667
0.5175.11099530700490.99919701935002
0.5275.29719162239440.919167617243123
0.5375.47045139507230.856948952840362
0.5475.63429499632020.81377174306544
0.5575.79248909929970.790746701443419
0.5675.94895495038550.788710469986123
0.5776.10768596252840.80777268963861
0.5876.27265997550190.847303010903752
0.5976.44773407481930.90636528571685
0.676.63651716317760.98288582773178
0.6176.84222522987391.07373389040726
0.6277.06753330612861.17534124313315
0.6377.31444336373361.28352128918424
0.6477.58418694008861.39362297315909
0.6577.87717489255851.50141463973482
0.6678.1929962154931.60284008062991
0.6778.53045661639981.69431813239598
0.6878.88763936933831.7727649164186
0.6979.26196892838181.83577902750731
0.779.65026313064241.88095491874731
0.7180.04877134331861.90636669711959
0.7280.45321013286671.9098676056826
0.7380.85882017438361.88985662864572
0.7481.2604736453361.84503471310687
0.7581.65285762434971.77539129646874
0.7682.03074638664891.68204643966705
0.7782.38935724903091.56789851281866
0.7882.7247657299061.43768002218916
0.7983.03434080150591.29796692374795
0.883.31715219654791.15661582819482
0.8183.57429853196761.02255028798389
0.8283.80910523778160.90495375284638
0.8384.02714343574720.812999158233314
0.8484.23602614078860.754647895737976
0.8584.44495040083130.735231859942334
0.8684.66397827970380.755311553208577
0.8784.90308962796470.809545703576724
0.8885.1710953655530.887833236529762
0.8985.47456398250070.976899034235314
0.985.81696470130431.06214821239194
0.9186.19823132193541.1298226534055
0.9286.61487281888631.16885678931287
0.9387.06064470978611.17269504842297
0.9487.52782664787231.13923208750224
0.9588.00951832634691.07028292229883
0.9688.50357261569620.97371396190101
0.9789.01597789006040.870173816098183
0.9889.5506109422790.801578856075735
0.9990.06211309284040.818369570171929


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')