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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 computationMon, 10 Oct 2011 04:32:41 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/10/t1318235665cqjx0aorg99cdu4.htm/, Retrieved Wed, 15 May 2024 17:52:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=127522, Retrieved Wed, 15 May 2024 17:52:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact153

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] [percentielen gemi...] [2011-10-10 08:32:41] [aabde7cbc80ed24cfac72ae6c5491463] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
236.77
239.23
240.23
240.33
240.33
240.34
240.34
240.27
240.29
240.29
240.29
240.29
240.31
239.95
242.33
242.11
241.53
241.53
241.53
241.41
241.41
241.66
241.8
241.99
246.24
247.57
247.84
248.27
248.3
248.31
248.31
248.38
248.37
248.41
248.68
248.75
248.75
247.95
248.13
247.86
246.23
245.98
245.98
246.27
246.31
246.3
246.67
246.78
246.78
247.91
247.99
248.6
248.68
248.75
248.75
249.03
249.05
249.57
249.35
249.46
249.46
250.82
254.19
255.18
256.68
256.73
256.73
257.39
257.78
258.67
258.71
258.91
258.91
261.38
262.42
262.77
263.24
262.83
262.83
263.09
263.6
265.68
266.08
266.28

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' @ 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127522&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' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127522&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127522&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' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01237.5927280078741.87434991957335
0.02238.6197308427851.1977140612125
0.03239.3822856636120.704500088519468
0.04239.8273942643750.404952344840812
0.05240.0614597511840.228882645175221
0.06240.1809952895960.127760279164371
0.07240.2432037712540.0753581278073304
0.08240.2790637798240.0593160399266402
0.09240.3060243926490.0737451680595343
0.1240.3348783924430.111060494589292
0.11240.3730184430510.16695611904705
0.12240.4257458685320.237695134920623
0.13240.4965346621480.317385028283758
0.14240.5868925316230.398300181768856
0.15240.6963308430690.47257269529233
0.16240.8227656140390.535351913520411
0.17240.963410830430.586328693142185
0.18241.1159672712590.631626330041898
0.19241.2797458110140.68362361551454
0.2241.456348379850.755337704129725
0.21241.6496554202480.857722626188946
0.22241.8650777365950.994849226714494
0.23242.1082457462541.16082668087617
0.24242.3834648170141.34297027272821
0.25242.6923247778881.52241874289459
0.26243.0328085748191.67984145746372
0.27243.3991178535421.79690626437064
0.28243.7822575034781.86043206925313
0.29244.171241647641.86447979073635
0.3244.5546448903991.81157896613802
0.31244.9221584784771.71119743529293
0.32245.2658342939221.57792143710679
0.33245.5807983628351.42885869071329
0.34245.8653572926891.2801245835157
0.35246.1205639082061.1447804587513
0.36246.3494150662611.03062543358469
0.37246.5559033564830.940396014257847
0.38246.7441329285060.871166917916677
0.39246.9176525288430.81771844605663
0.4247.0790795696460.77298698018905
0.41247.2300116892390.731197391950732
0.42247.3711645601930.688583258207412
0.43247.502645062850.642649326842083
0.44247.6242667533650.593552416331069
0.45247.7358328018210.542112922638308
0.46247.837340363970.490900166258916
0.47247.9290901368890.441551134654139
0.48248.0117086802270.396154664346064
0.49248.0861055772170.356194301366253
0.5248.153392664470.32222337703638
0.51248.2147907381890.294933701497275
0.52248.2715436695950.274207874016203
0.53248.3248537285990.25962258404325
0.54248.3758469774780.250292771448063
0.55248.4255743921050.246134293925566
0.56248.4750524646380.246318314180998
0.57248.5253456207510.251426468475635
0.58248.5776911147380.262266703445222
0.59248.6336646237380.280907446700019
0.6248.6953810067290.310563093784202
0.61248.7657187474250.355497507955336
0.62248.8485472456030.421132699430193
0.63248.9489224556610.513852500399291
0.64249.0731991392410.639779307262595
0.65249.2289911233830.80450469321091
0.66249.4249023014581.01139756273058
0.67249.6699613691541.26069981778585
0.68249.9727323149231.54759251377502
0.69250.3401438479471.86053119147947
0.7250.7761754504042.18174463121741
0.71251.2806321648852.48867398478457
0.72251.8483002957082.75522920670575
0.73252.4687677178322.95703962242029
0.74253.1270966985513.07443668416394
0.75253.8053640553223.09785509933865
0.76254.4848752219133.02886878212849
0.77255.1486779413252.88177985160101
0.78255.7839062624812.68022549875937
0.79256.3835037466842.45509479499894
0.8256.9469893391782.23769471951605
0.81257.4800903924782.0569540894674
0.82257.9932263509461.93260717972871
0.83258.4989731157831.87183451076004
0.84259.0088082519961.86476912011174
0.85259.5296747270871.88593583076336
0.86260.0611847189651.8989199931212
0.87260.5944785251291.86702534850668
0.88261.1136427116161.76446694519939
0.89261.6000305742021.58566465462854
0.9262.0389042289211.35009493054725
0.91262.4268570919761.1007173752497
0.92262.7777666002210.897098827514987
0.93263.1244643688080.806287411811772
0.94263.5126209992390.869935449608296
0.95263.9834730855041.04466101033846
0.96264.5464981910511.2001752552532
0.97265.1550545329351.17261966584058
0.98265.7096810022150.87699715134559
0.99266.1026916874140.443718249614464

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 237.592728007874 & 1.87434991957335 \tabularnewline
0.02 & 238.619730842785 & 1.1977140612125 \tabularnewline
0.03 & 239.382285663612 & 0.704500088519468 \tabularnewline
0.04 & 239.827394264375 & 0.404952344840812 \tabularnewline
0.05 & 240.061459751184 & 0.228882645175221 \tabularnewline
0.06 & 240.180995289596 & 0.127760279164371 \tabularnewline
0.07 & 240.243203771254 & 0.0753581278073304 \tabularnewline
0.08 & 240.279063779824 & 0.0593160399266402 \tabularnewline
0.09 & 240.306024392649 & 0.0737451680595343 \tabularnewline
0.1 & 240.334878392443 & 0.111060494589292 \tabularnewline
0.11 & 240.373018443051 & 0.16695611904705 \tabularnewline
0.12 & 240.425745868532 & 0.237695134920623 \tabularnewline
0.13 & 240.496534662148 & 0.317385028283758 \tabularnewline
0.14 & 240.586892531623 & 0.398300181768856 \tabularnewline
0.15 & 240.696330843069 & 0.47257269529233 \tabularnewline
0.16 & 240.822765614039 & 0.535351913520411 \tabularnewline
0.17 & 240.96341083043 & 0.586328693142185 \tabularnewline
0.18 & 241.115967271259 & 0.631626330041898 \tabularnewline
0.19 & 241.279745811014 & 0.68362361551454 \tabularnewline
0.2 & 241.45634837985 & 0.755337704129725 \tabularnewline
0.21 & 241.649655420248 & 0.857722626188946 \tabularnewline
0.22 & 241.865077736595 & 0.994849226714494 \tabularnewline
0.23 & 242.108245746254 & 1.16082668087617 \tabularnewline
0.24 & 242.383464817014 & 1.34297027272821 \tabularnewline
0.25 & 242.692324777888 & 1.52241874289459 \tabularnewline
0.26 & 243.032808574819 & 1.67984145746372 \tabularnewline
0.27 & 243.399117853542 & 1.79690626437064 \tabularnewline
0.28 & 243.782257503478 & 1.86043206925313 \tabularnewline
0.29 & 244.17124164764 & 1.86447979073635 \tabularnewline
0.3 & 244.554644890399 & 1.81157896613802 \tabularnewline
0.31 & 244.922158478477 & 1.71119743529293 \tabularnewline
0.32 & 245.265834293922 & 1.57792143710679 \tabularnewline
0.33 & 245.580798362835 & 1.42885869071329 \tabularnewline
0.34 & 245.865357292689 & 1.2801245835157 \tabularnewline
0.35 & 246.120563908206 & 1.1447804587513 \tabularnewline
0.36 & 246.349415066261 & 1.03062543358469 \tabularnewline
0.37 & 246.555903356483 & 0.940396014257847 \tabularnewline
0.38 & 246.744132928506 & 0.871166917916677 \tabularnewline
0.39 & 246.917652528843 & 0.81771844605663 \tabularnewline
0.4 & 247.079079569646 & 0.77298698018905 \tabularnewline
0.41 & 247.230011689239 & 0.731197391950732 \tabularnewline
0.42 & 247.371164560193 & 0.688583258207412 \tabularnewline
0.43 & 247.50264506285 & 0.642649326842083 \tabularnewline
0.44 & 247.624266753365 & 0.593552416331069 \tabularnewline
0.45 & 247.735832801821 & 0.542112922638308 \tabularnewline
0.46 & 247.83734036397 & 0.490900166258916 \tabularnewline
0.47 & 247.929090136889 & 0.441551134654139 \tabularnewline
0.48 & 248.011708680227 & 0.396154664346064 \tabularnewline
0.49 & 248.086105577217 & 0.356194301366253 \tabularnewline
0.5 & 248.15339266447 & 0.32222337703638 \tabularnewline
0.51 & 248.214790738189 & 0.294933701497275 \tabularnewline
0.52 & 248.271543669595 & 0.274207874016203 \tabularnewline
0.53 & 248.324853728599 & 0.25962258404325 \tabularnewline
0.54 & 248.375846977478 & 0.250292771448063 \tabularnewline
0.55 & 248.425574392105 & 0.246134293925566 \tabularnewline
0.56 & 248.475052464638 & 0.246318314180998 \tabularnewline
0.57 & 248.525345620751 & 0.251426468475635 \tabularnewline
0.58 & 248.577691114738 & 0.262266703445222 \tabularnewline
0.59 & 248.633664623738 & 0.280907446700019 \tabularnewline
0.6 & 248.695381006729 & 0.310563093784202 \tabularnewline
0.61 & 248.765718747425 & 0.355497507955336 \tabularnewline
0.62 & 248.848547245603 & 0.421132699430193 \tabularnewline
0.63 & 248.948922455661 & 0.513852500399291 \tabularnewline
0.64 & 249.073199139241 & 0.639779307262595 \tabularnewline
0.65 & 249.228991123383 & 0.80450469321091 \tabularnewline
0.66 & 249.424902301458 & 1.01139756273058 \tabularnewline
0.67 & 249.669961369154 & 1.26069981778585 \tabularnewline
0.68 & 249.972732314923 & 1.54759251377502 \tabularnewline
0.69 & 250.340143847947 & 1.86053119147947 \tabularnewline
0.7 & 250.776175450404 & 2.18174463121741 \tabularnewline
0.71 & 251.280632164885 & 2.48867398478457 \tabularnewline
0.72 & 251.848300295708 & 2.75522920670575 \tabularnewline
0.73 & 252.468767717832 & 2.95703962242029 \tabularnewline
0.74 & 253.127096698551 & 3.07443668416394 \tabularnewline
0.75 & 253.805364055322 & 3.09785509933865 \tabularnewline
0.76 & 254.484875221913 & 3.02886878212849 \tabularnewline
0.77 & 255.148677941325 & 2.88177985160101 \tabularnewline
0.78 & 255.783906262481 & 2.68022549875937 \tabularnewline
0.79 & 256.383503746684 & 2.45509479499894 \tabularnewline
0.8 & 256.946989339178 & 2.23769471951605 \tabularnewline
0.81 & 257.480090392478 & 2.0569540894674 \tabularnewline
0.82 & 257.993226350946 & 1.93260717972871 \tabularnewline
0.83 & 258.498973115783 & 1.87183451076004 \tabularnewline
0.84 & 259.008808251996 & 1.86476912011174 \tabularnewline
0.85 & 259.529674727087 & 1.88593583076336 \tabularnewline
0.86 & 260.061184718965 & 1.8989199931212 \tabularnewline
0.87 & 260.594478525129 & 1.86702534850668 \tabularnewline
0.88 & 261.113642711616 & 1.76446694519939 \tabularnewline
0.89 & 261.600030574202 & 1.58566465462854 \tabularnewline
0.9 & 262.038904228921 & 1.35009493054725 \tabularnewline
0.91 & 262.426857091976 & 1.1007173752497 \tabularnewline
0.92 & 262.777766600221 & 0.897098827514987 \tabularnewline
0.93 & 263.124464368808 & 0.806287411811772 \tabularnewline
0.94 & 263.512620999239 & 0.869935449608296 \tabularnewline
0.95 & 263.983473085504 & 1.04466101033846 \tabularnewline
0.96 & 264.546498191051 & 1.2001752552532 \tabularnewline
0.97 & 265.155054532935 & 1.17261966584058 \tabularnewline
0.98 & 265.709681002215 & 0.87699715134559 \tabularnewline
0.99 & 266.102691687414 & 0.443718249614464 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127522&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]237.592728007874[/C][C]1.87434991957335[/C][/ROW]
[ROW][C]0.02[/C][C]238.619730842785[/C][C]1.1977140612125[/C][/ROW]
[ROW][C]0.03[/C][C]239.382285663612[/C][C]0.704500088519468[/C][/ROW]
[ROW][C]0.04[/C][C]239.827394264375[/C][C]0.404952344840812[/C][/ROW]
[ROW][C]0.05[/C][C]240.061459751184[/C][C]0.228882645175221[/C][/ROW]
[ROW][C]0.06[/C][C]240.180995289596[/C][C]0.127760279164371[/C][/ROW]
[ROW][C]0.07[/C][C]240.243203771254[/C][C]0.0753581278073304[/C][/ROW]
[ROW][C]0.08[/C][C]240.279063779824[/C][C]0.0593160399266402[/C][/ROW]
[ROW][C]0.09[/C][C]240.306024392649[/C][C]0.0737451680595343[/C][/ROW]
[ROW][C]0.1[/C][C]240.334878392443[/C][C]0.111060494589292[/C][/ROW]
[ROW][C]0.11[/C][C]240.373018443051[/C][C]0.16695611904705[/C][/ROW]
[ROW][C]0.12[/C][C]240.425745868532[/C][C]0.237695134920623[/C][/ROW]
[ROW][C]0.13[/C][C]240.496534662148[/C][C]0.317385028283758[/C][/ROW]
[ROW][C]0.14[/C][C]240.586892531623[/C][C]0.398300181768856[/C][/ROW]
[ROW][C]0.15[/C][C]240.696330843069[/C][C]0.47257269529233[/C][/ROW]
[ROW][C]0.16[/C][C]240.822765614039[/C][C]0.535351913520411[/C][/ROW]
[ROW][C]0.17[/C][C]240.96341083043[/C][C]0.586328693142185[/C][/ROW]
[ROW][C]0.18[/C][C]241.115967271259[/C][C]0.631626330041898[/C][/ROW]
[ROW][C]0.19[/C][C]241.279745811014[/C][C]0.68362361551454[/C][/ROW]
[ROW][C]0.2[/C][C]241.45634837985[/C][C]0.755337704129725[/C][/ROW]
[ROW][C]0.21[/C][C]241.649655420248[/C][C]0.857722626188946[/C][/ROW]
[ROW][C]0.22[/C][C]241.865077736595[/C][C]0.994849226714494[/C][/ROW]
[ROW][C]0.23[/C][C]242.108245746254[/C][C]1.16082668087617[/C][/ROW]
[ROW][C]0.24[/C][C]242.383464817014[/C][C]1.34297027272821[/C][/ROW]
[ROW][C]0.25[/C][C]242.692324777888[/C][C]1.52241874289459[/C][/ROW]
[ROW][C]0.26[/C][C]243.032808574819[/C][C]1.67984145746372[/C][/ROW]
[ROW][C]0.27[/C][C]243.399117853542[/C][C]1.79690626437064[/C][/ROW]
[ROW][C]0.28[/C][C]243.782257503478[/C][C]1.86043206925313[/C][/ROW]
[ROW][C]0.29[/C][C]244.17124164764[/C][C]1.86447979073635[/C][/ROW]
[ROW][C]0.3[/C][C]244.554644890399[/C][C]1.81157896613802[/C][/ROW]
[ROW][C]0.31[/C][C]244.922158478477[/C][C]1.71119743529293[/C][/ROW]
[ROW][C]0.32[/C][C]245.265834293922[/C][C]1.57792143710679[/C][/ROW]
[ROW][C]0.33[/C][C]245.580798362835[/C][C]1.42885869071329[/C][/ROW]
[ROW][C]0.34[/C][C]245.865357292689[/C][C]1.2801245835157[/C][/ROW]
[ROW][C]0.35[/C][C]246.120563908206[/C][C]1.1447804587513[/C][/ROW]
[ROW][C]0.36[/C][C]246.349415066261[/C][C]1.03062543358469[/C][/ROW]
[ROW][C]0.37[/C][C]246.555903356483[/C][C]0.940396014257847[/C][/ROW]
[ROW][C]0.38[/C][C]246.744132928506[/C][C]0.871166917916677[/C][/ROW]
[ROW][C]0.39[/C][C]246.917652528843[/C][C]0.81771844605663[/C][/ROW]
[ROW][C]0.4[/C][C]247.079079569646[/C][C]0.77298698018905[/C][/ROW]
[ROW][C]0.41[/C][C]247.230011689239[/C][C]0.731197391950732[/C][/ROW]
[ROW][C]0.42[/C][C]247.371164560193[/C][C]0.688583258207412[/C][/ROW]
[ROW][C]0.43[/C][C]247.50264506285[/C][C]0.642649326842083[/C][/ROW]
[ROW][C]0.44[/C][C]247.624266753365[/C][C]0.593552416331069[/C][/ROW]
[ROW][C]0.45[/C][C]247.735832801821[/C][C]0.542112922638308[/C][/ROW]
[ROW][C]0.46[/C][C]247.83734036397[/C][C]0.490900166258916[/C][/ROW]
[ROW][C]0.47[/C][C]247.929090136889[/C][C]0.441551134654139[/C][/ROW]
[ROW][C]0.48[/C][C]248.011708680227[/C][C]0.396154664346064[/C][/ROW]
[ROW][C]0.49[/C][C]248.086105577217[/C][C]0.356194301366253[/C][/ROW]
[ROW][C]0.5[/C][C]248.15339266447[/C][C]0.32222337703638[/C][/ROW]
[ROW][C]0.51[/C][C]248.214790738189[/C][C]0.294933701497275[/C][/ROW]
[ROW][C]0.52[/C][C]248.271543669595[/C][C]0.274207874016203[/C][/ROW]
[ROW][C]0.53[/C][C]248.324853728599[/C][C]0.25962258404325[/C][/ROW]
[ROW][C]0.54[/C][C]248.375846977478[/C][C]0.250292771448063[/C][/ROW]
[ROW][C]0.55[/C][C]248.425574392105[/C][C]0.246134293925566[/C][/ROW]
[ROW][C]0.56[/C][C]248.475052464638[/C][C]0.246318314180998[/C][/ROW]
[ROW][C]0.57[/C][C]248.525345620751[/C][C]0.251426468475635[/C][/ROW]
[ROW][C]0.58[/C][C]248.577691114738[/C][C]0.262266703445222[/C][/ROW]
[ROW][C]0.59[/C][C]248.633664623738[/C][C]0.280907446700019[/C][/ROW]
[ROW][C]0.6[/C][C]248.695381006729[/C][C]0.310563093784202[/C][/ROW]
[ROW][C]0.61[/C][C]248.765718747425[/C][C]0.355497507955336[/C][/ROW]
[ROW][C]0.62[/C][C]248.848547245603[/C][C]0.421132699430193[/C][/ROW]
[ROW][C]0.63[/C][C]248.948922455661[/C][C]0.513852500399291[/C][/ROW]
[ROW][C]0.64[/C][C]249.073199139241[/C][C]0.639779307262595[/C][/ROW]
[ROW][C]0.65[/C][C]249.228991123383[/C][C]0.80450469321091[/C][/ROW]
[ROW][C]0.66[/C][C]249.424902301458[/C][C]1.01139756273058[/C][/ROW]
[ROW][C]0.67[/C][C]249.669961369154[/C][C]1.26069981778585[/C][/ROW]
[ROW][C]0.68[/C][C]249.972732314923[/C][C]1.54759251377502[/C][/ROW]
[ROW][C]0.69[/C][C]250.340143847947[/C][C]1.86053119147947[/C][/ROW]
[ROW][C]0.7[/C][C]250.776175450404[/C][C]2.18174463121741[/C][/ROW]
[ROW][C]0.71[/C][C]251.280632164885[/C][C]2.48867398478457[/C][/ROW]
[ROW][C]0.72[/C][C]251.848300295708[/C][C]2.75522920670575[/C][/ROW]
[ROW][C]0.73[/C][C]252.468767717832[/C][C]2.95703962242029[/C][/ROW]
[ROW][C]0.74[/C][C]253.127096698551[/C][C]3.07443668416394[/C][/ROW]
[ROW][C]0.75[/C][C]253.805364055322[/C][C]3.09785509933865[/C][/ROW]
[ROW][C]0.76[/C][C]254.484875221913[/C][C]3.02886878212849[/C][/ROW]
[ROW][C]0.77[/C][C]255.148677941325[/C][C]2.88177985160101[/C][/ROW]
[ROW][C]0.78[/C][C]255.783906262481[/C][C]2.68022549875937[/C][/ROW]
[ROW][C]0.79[/C][C]256.383503746684[/C][C]2.45509479499894[/C][/ROW]
[ROW][C]0.8[/C][C]256.946989339178[/C][C]2.23769471951605[/C][/ROW]
[ROW][C]0.81[/C][C]257.480090392478[/C][C]2.0569540894674[/C][/ROW]
[ROW][C]0.82[/C][C]257.993226350946[/C][C]1.93260717972871[/C][/ROW]
[ROW][C]0.83[/C][C]258.498973115783[/C][C]1.87183451076004[/C][/ROW]
[ROW][C]0.84[/C][C]259.008808251996[/C][C]1.86476912011174[/C][/ROW]
[ROW][C]0.85[/C][C]259.529674727087[/C][C]1.88593583076336[/C][/ROW]
[ROW][C]0.86[/C][C]260.061184718965[/C][C]1.8989199931212[/C][/ROW]
[ROW][C]0.87[/C][C]260.594478525129[/C][C]1.86702534850668[/C][/ROW]
[ROW][C]0.88[/C][C]261.113642711616[/C][C]1.76446694519939[/C][/ROW]
[ROW][C]0.89[/C][C]261.600030574202[/C][C]1.58566465462854[/C][/ROW]
[ROW][C]0.9[/C][C]262.038904228921[/C][C]1.35009493054725[/C][/ROW]
[ROW][C]0.91[/C][C]262.426857091976[/C][C]1.1007173752497[/C][/ROW]
[ROW][C]0.92[/C][C]262.777766600221[/C][C]0.897098827514987[/C][/ROW]
[ROW][C]0.93[/C][C]263.124464368808[/C][C]0.806287411811772[/C][/ROW]
[ROW][C]0.94[/C][C]263.512620999239[/C][C]0.869935449608296[/C][/ROW]
[ROW][C]0.95[/C][C]263.983473085504[/C][C]1.04466101033846[/C][/ROW]
[ROW][C]0.96[/C][C]264.546498191051[/C][C]1.2001752552532[/C][/ROW]
[ROW][C]0.97[/C][C]265.155054532935[/C][C]1.17261966584058[/C][/ROW]
[ROW][C]0.98[/C][C]265.709681002215[/C][C]0.87699715134559[/C][/ROW]
[ROW][C]0.99[/C][C]266.102691687414[/C][C]0.443718249614464[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127522&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127522&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
0.01237.5927280078741.87434991957335
0.02238.6197308427851.1977140612125
0.03239.3822856636120.704500088519468
0.04239.8273942643750.404952344840812
0.05240.0614597511840.228882645175221
0.06240.1809952895960.127760279164371
0.07240.2432037712540.0753581278073304
0.08240.2790637798240.0593160399266402
0.09240.3060243926490.0737451680595343
0.1240.3348783924430.111060494589292
0.11240.3730184430510.16695611904705
0.12240.4257458685320.237695134920623
0.13240.4965346621480.317385028283758
0.14240.5868925316230.398300181768856
0.15240.6963308430690.47257269529233
0.16240.8227656140390.535351913520411
0.17240.963410830430.586328693142185
0.18241.1159672712590.631626330041898
0.19241.2797458110140.68362361551454
0.2241.456348379850.755337704129725
0.21241.6496554202480.857722626188946
0.22241.8650777365950.994849226714494
0.23242.1082457462541.16082668087617
0.24242.3834648170141.34297027272821
0.25242.6923247778881.52241874289459
0.26243.0328085748191.67984145746372
0.27243.3991178535421.79690626437064
0.28243.7822575034781.86043206925313
0.29244.171241647641.86447979073635
0.3244.5546448903991.81157896613802
0.31244.9221584784771.71119743529293
0.32245.2658342939221.57792143710679
0.33245.5807983628351.42885869071329
0.34245.8653572926891.2801245835157
0.35246.1205639082061.1447804587513
0.36246.3494150662611.03062543358469
0.37246.5559033564830.940396014257847
0.38246.7441329285060.871166917916677
0.39246.9176525288430.81771844605663
0.4247.0790795696460.77298698018905
0.41247.2300116892390.731197391950732
0.42247.3711645601930.688583258207412
0.43247.502645062850.642649326842083
0.44247.6242667533650.593552416331069
0.45247.7358328018210.542112922638308
0.46247.837340363970.490900166258916
0.47247.9290901368890.441551134654139
0.48248.0117086802270.396154664346064
0.49248.0861055772170.356194301366253
0.5248.153392664470.32222337703638
0.51248.2147907381890.294933701497275
0.52248.2715436695950.274207874016203
0.53248.3248537285990.25962258404325
0.54248.3758469774780.250292771448063
0.55248.4255743921050.246134293925566
0.56248.4750524646380.246318314180998
0.57248.5253456207510.251426468475635
0.58248.5776911147380.262266703445222
0.59248.6336646237380.280907446700019
0.6248.6953810067290.310563093784202
0.61248.7657187474250.355497507955336
0.62248.8485472456030.421132699430193
0.63248.9489224556610.513852500399291
0.64249.0731991392410.639779307262595
0.65249.2289911233830.80450469321091
0.66249.4249023014581.01139756273058
0.67249.6699613691541.26069981778585
0.68249.9727323149231.54759251377502
0.69250.3401438479471.86053119147947
0.7250.7761754504042.18174463121741
0.71251.2806321648852.48867398478457
0.72251.8483002957082.75522920670575
0.73252.4687677178322.95703962242029
0.74253.1270966985513.07443668416394
0.75253.8053640553223.09785509933865
0.76254.4848752219133.02886878212849
0.77255.1486779413252.88177985160101
0.78255.7839062624812.68022549875937
0.79256.3835037466842.45509479499894
0.8256.9469893391782.23769471951605
0.81257.4800903924782.0569540894674
0.82257.9932263509461.93260717972871
0.83258.4989731157831.87183451076004
0.84259.0088082519961.86476912011174
0.85259.5296747270871.88593583076336
0.86260.0611847189651.8989199931212
0.87260.5944785251291.86702534850668
0.88261.1136427116161.76446694519939
0.89261.6000305742021.58566465462854
0.9262.0389042289211.35009493054725
0.91262.4268570919761.1007173752497
0.92262.7777666002210.897098827514987
0.93263.1244643688080.806287411811772
0.94263.5126209992390.869935449608296
0.95263.9834730855041.04466101033846
0.96264.5464981910511.2001752552532
0.97265.1550545329351.17261966584058
0.98265.7096810022150.87699715134559
0.99266.1026916874140.443718249614464


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')