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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 computationWed, 22 Feb 2012 02:22:43 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/22/t132989545053zq8h5nm4ro872.htm/, Retrieved Tue, 07 May 2024 00:57:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162997, Retrieved Tue, 07 May 2024 00:57:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact65

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] [Kleding en kledin...] [2012-02-22 07:22:43] [675223405f94cd8491f4a89fc80aa26c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
219.20
232.50
235.60
171.00
165.90
187.60
218.20
249.80
256.50
224.90
200.00
182.50
230.30
252.80
270.60
196.90
184.70
202.50
258.20
283.10
268.50
283.80
231.10
212.10
238.50
262.80
245.50
198.20
167.20
184.20
254.90
246.40
264.50
242.40
186.70
254.70
230.10
253.60
228.00
183.80
150.00
178.50
228.40
228.70
236.70
218.20
173.50
189.10
194.60
213.70
216.30
173.90
156.90
182.90
216.40
234.00
257.30
225.70
201.70
189.20

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162997&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162997&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162997&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01151.9486951056236.89629995228866
0.02155.0189829827987.03297485385692
0.03158.446056660126.90095489262722
0.04161.6905733380436.42716886935261
0.05164.5277681220435.83421227884748
0.06166.943018829115.36402275987991
0.07169.014739769575.1088810047935
0.08170.8397214983235.03081355078622
0.09172.497894049275.04635614261436
0.1174.0417458546365.07851769486369
0.11175.4983427937455.07142044424997
0.12176.8763767606434.99163799297085
0.13178.1741615699474.82974713058839
0.14179.3866709841974.59885721818334
0.15180.5108242238494.33071954623412
0.16181.5487362453464.06668590125278
0.17182.5089624191033.84945886357283
0.18183.4060432026643.71456408471463
0.19184.2588717119853.68288080951705
0.2185.0884974312753.76061283273554
0.21185.9159225571183.93874149881493
0.22186.7602856461054.20007269425554
0.23187.6376307920684.52465292753629
0.24188.5602900727034.89120092373114
0.25189.5367932965445.28209546215512
0.26190.5721638620025.68143072185067
0.27191.66844759296.07802878575684
0.28192.8253341441186.46265222664211
0.29194.0407546546086.83003546615979
0.3195.3113689129967.17726298523263
0.31196.6328894913147.50122340775291
0.32198.0002289004417.79873410248729
0.33199.4074960563328.06535673979302
0.34200.8479039964928.29332452693436
0.35202.3136737635568.4744334517319
0.36203.7960227606538.59948197544419
0.37205.2853069550938.66018128887216
0.38206.7713482241638.65184083017732
0.39208.2439296386028.57400085832311
0.4209.6933946676978.4315015115675
0.41211.1112532723638.23383056808476
0.42212.4906873473317.99481678202907
0.43213.8268629249597.72997995152044
0.44215.1169934235257.45477612183826
0.45216.3601480799067.18214702046733
0.46217.55685069376.92080186868286
0.47218.7085542377826.67449158556568
0.48219.81709808336.44285191605048
0.49220.8842527707626.22089357390493
0.5221.9114340976846.00275764931895
0.51222.8996300718485.78322221622203
0.52223.8495400666595.55879594315142
0.53224.7618848590665.33004583347078
0.54225.637816982775.10066523709498
0.55226.4793475980984.87824714248651
0.56227.2897095940114.67289034141164
0.57228.0735940624194.49606568569861
0.58228.8372232959784.35958921578895
0.59229.5882517395044.27356472503535
0.6230.3355110829964.24491172508112
0.61231.088632864734.27753121576746
0.62231.8575898820434.37078584574953
0.63232.6521971094644.52103994541828
0.64233.481606272574.72052072664349
0.65234.3538192245444.96011583155801
0.66235.2752372236415.22780614880501
0.67236.250258543975.51055124090872
0.68237.280936522685.79342609156736
0.69238.3667135892846.06119476248651
0.7239.5042523285696.2979750025677
0.71240.687389960276.48882162271282
0.72241.9072456264496.6197766113723
0.73243.1525089066576.67885546851492
0.74244.4099319887346.65777346034028
0.75245.6650363875166.55237916547312
0.76246.9030279231986.36341762348061
0.77248.1098912355416.09747851156101
0.78249.2736085676245.76658854893043
0.79250.3854190867225.38921602510502
0.8251.4410078719484.98852724475584
0.81252.4414919358144.5924286772129
0.82253.3940588903464.23172328822805
0.83254.3121178926343.93741289835984
0.84255.214851088643.73764035685472
0.85256.1261213214713.65281637237181
0.86257.0728192998023.68910590239884
0.87258.082942152513.83598272961389
0.88259.1839857119214.06756337994245
0.89260.4025355497054.35036667280917
0.9261.7660348143514.65500431601785
0.91263.307129311874.97072287562146
0.92265.0690850875885.32020120923292
0.93267.1071523641095.76290096191376
0.94269.4764814951716.35654384405106
0.95272.1964036390977.04625187249992
0.96275.1907447501857.52507768963421
0.97278.2292547976357.22854705475909
0.98280.9267167336055.65009632834749
0.99282.8602753349742.9844595403031

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 151.948695105623 & 6.89629995228866 \tabularnewline
0.02 & 155.018982982798 & 7.03297485385692 \tabularnewline
0.03 & 158.44605666012 & 6.90095489262722 \tabularnewline
0.04 & 161.690573338043 & 6.42716886935261 \tabularnewline
0.05 & 164.527768122043 & 5.83421227884748 \tabularnewline
0.06 & 166.94301882911 & 5.36402275987991 \tabularnewline
0.07 & 169.01473976957 & 5.1088810047935 \tabularnewline
0.08 & 170.839721498323 & 5.03081355078622 \tabularnewline
0.09 & 172.49789404927 & 5.04635614261436 \tabularnewline
0.1 & 174.041745854636 & 5.07851769486369 \tabularnewline
0.11 & 175.498342793745 & 5.07142044424997 \tabularnewline
0.12 & 176.876376760643 & 4.99163799297085 \tabularnewline
0.13 & 178.174161569947 & 4.82974713058839 \tabularnewline
0.14 & 179.386670984197 & 4.59885721818334 \tabularnewline
0.15 & 180.510824223849 & 4.33071954623412 \tabularnewline
0.16 & 181.548736245346 & 4.06668590125278 \tabularnewline
0.17 & 182.508962419103 & 3.84945886357283 \tabularnewline
0.18 & 183.406043202664 & 3.71456408471463 \tabularnewline
0.19 & 184.258871711985 & 3.68288080951705 \tabularnewline
0.2 & 185.088497431275 & 3.76061283273554 \tabularnewline
0.21 & 185.915922557118 & 3.93874149881493 \tabularnewline
0.22 & 186.760285646105 & 4.20007269425554 \tabularnewline
0.23 & 187.637630792068 & 4.52465292753629 \tabularnewline
0.24 & 188.560290072703 & 4.89120092373114 \tabularnewline
0.25 & 189.536793296544 & 5.28209546215512 \tabularnewline
0.26 & 190.572163862002 & 5.68143072185067 \tabularnewline
0.27 & 191.6684475929 & 6.07802878575684 \tabularnewline
0.28 & 192.825334144118 & 6.46265222664211 \tabularnewline
0.29 & 194.040754654608 & 6.83003546615979 \tabularnewline
0.3 & 195.311368912996 & 7.17726298523263 \tabularnewline
0.31 & 196.632889491314 & 7.50122340775291 \tabularnewline
0.32 & 198.000228900441 & 7.79873410248729 \tabularnewline
0.33 & 199.407496056332 & 8.06535673979302 \tabularnewline
0.34 & 200.847903996492 & 8.29332452693436 \tabularnewline
0.35 & 202.313673763556 & 8.4744334517319 \tabularnewline
0.36 & 203.796022760653 & 8.59948197544419 \tabularnewline
0.37 & 205.285306955093 & 8.66018128887216 \tabularnewline
0.38 & 206.771348224163 & 8.65184083017732 \tabularnewline
0.39 & 208.243929638602 & 8.57400085832311 \tabularnewline
0.4 & 209.693394667697 & 8.4315015115675 \tabularnewline
0.41 & 211.111253272363 & 8.23383056808476 \tabularnewline
0.42 & 212.490687347331 & 7.99481678202907 \tabularnewline
0.43 & 213.826862924959 & 7.72997995152044 \tabularnewline
0.44 & 215.116993423525 & 7.45477612183826 \tabularnewline
0.45 & 216.360148079906 & 7.18214702046733 \tabularnewline
0.46 & 217.5568506937 & 6.92080186868286 \tabularnewline
0.47 & 218.708554237782 & 6.67449158556568 \tabularnewline
0.48 & 219.8170980833 & 6.44285191605048 \tabularnewline
0.49 & 220.884252770762 & 6.22089357390493 \tabularnewline
0.5 & 221.911434097684 & 6.00275764931895 \tabularnewline
0.51 & 222.899630071848 & 5.78322221622203 \tabularnewline
0.52 & 223.849540066659 & 5.55879594315142 \tabularnewline
0.53 & 224.761884859066 & 5.33004583347078 \tabularnewline
0.54 & 225.63781698277 & 5.10066523709498 \tabularnewline
0.55 & 226.479347598098 & 4.87824714248651 \tabularnewline
0.56 & 227.289709594011 & 4.67289034141164 \tabularnewline
0.57 & 228.073594062419 & 4.49606568569861 \tabularnewline
0.58 & 228.837223295978 & 4.35958921578895 \tabularnewline
0.59 & 229.588251739504 & 4.27356472503535 \tabularnewline
0.6 & 230.335511082996 & 4.24491172508112 \tabularnewline
0.61 & 231.08863286473 & 4.27753121576746 \tabularnewline
0.62 & 231.857589882043 & 4.37078584574953 \tabularnewline
0.63 & 232.652197109464 & 4.52103994541828 \tabularnewline
0.64 & 233.48160627257 & 4.72052072664349 \tabularnewline
0.65 & 234.353819224544 & 4.96011583155801 \tabularnewline
0.66 & 235.275237223641 & 5.22780614880501 \tabularnewline
0.67 & 236.25025854397 & 5.51055124090872 \tabularnewline
0.68 & 237.28093652268 & 5.79342609156736 \tabularnewline
0.69 & 238.366713589284 & 6.06119476248651 \tabularnewline
0.7 & 239.504252328569 & 6.2979750025677 \tabularnewline
0.71 & 240.68738996027 & 6.48882162271282 \tabularnewline
0.72 & 241.907245626449 & 6.6197766113723 \tabularnewline
0.73 & 243.152508906657 & 6.67885546851492 \tabularnewline
0.74 & 244.409931988734 & 6.65777346034028 \tabularnewline
0.75 & 245.665036387516 & 6.55237916547312 \tabularnewline
0.76 & 246.903027923198 & 6.36341762348061 \tabularnewline
0.77 & 248.109891235541 & 6.09747851156101 \tabularnewline
0.78 & 249.273608567624 & 5.76658854893043 \tabularnewline
0.79 & 250.385419086722 & 5.38921602510502 \tabularnewline
0.8 & 251.441007871948 & 4.98852724475584 \tabularnewline
0.81 & 252.441491935814 & 4.5924286772129 \tabularnewline
0.82 & 253.394058890346 & 4.23172328822805 \tabularnewline
0.83 & 254.312117892634 & 3.93741289835984 \tabularnewline
0.84 & 255.21485108864 & 3.73764035685472 \tabularnewline
0.85 & 256.126121321471 & 3.65281637237181 \tabularnewline
0.86 & 257.072819299802 & 3.68910590239884 \tabularnewline
0.87 & 258.08294215251 & 3.83598272961389 \tabularnewline
0.88 & 259.183985711921 & 4.06756337994245 \tabularnewline
0.89 & 260.402535549705 & 4.35036667280917 \tabularnewline
0.9 & 261.766034814351 & 4.65500431601785 \tabularnewline
0.91 & 263.30712931187 & 4.97072287562146 \tabularnewline
0.92 & 265.069085087588 & 5.32020120923292 \tabularnewline
0.93 & 267.107152364109 & 5.76290096191376 \tabularnewline
0.94 & 269.476481495171 & 6.35654384405106 \tabularnewline
0.95 & 272.196403639097 & 7.04625187249992 \tabularnewline
0.96 & 275.190744750185 & 7.52507768963421 \tabularnewline
0.97 & 278.229254797635 & 7.22854705475909 \tabularnewline
0.98 & 280.926716733605 & 5.65009632834749 \tabularnewline
0.99 & 282.860275334974 & 2.9844595403031 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162997&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]151.948695105623[/C][C]6.89629995228866[/C][/ROW]
[ROW][C]0.02[/C][C]155.018982982798[/C][C]7.03297485385692[/C][/ROW]
[ROW][C]0.03[/C][C]158.44605666012[/C][C]6.90095489262722[/C][/ROW]
[ROW][C]0.04[/C][C]161.690573338043[/C][C]6.42716886935261[/C][/ROW]
[ROW][C]0.05[/C][C]164.527768122043[/C][C]5.83421227884748[/C][/ROW]
[ROW][C]0.06[/C][C]166.94301882911[/C][C]5.36402275987991[/C][/ROW]
[ROW][C]0.07[/C][C]169.01473976957[/C][C]5.1088810047935[/C][/ROW]
[ROW][C]0.08[/C][C]170.839721498323[/C][C]5.03081355078622[/C][/ROW]
[ROW][C]0.09[/C][C]172.49789404927[/C][C]5.04635614261436[/C][/ROW]
[ROW][C]0.1[/C][C]174.041745854636[/C][C]5.07851769486369[/C][/ROW]
[ROW][C]0.11[/C][C]175.498342793745[/C][C]5.07142044424997[/C][/ROW]
[ROW][C]0.12[/C][C]176.876376760643[/C][C]4.99163799297085[/C][/ROW]
[ROW][C]0.13[/C][C]178.174161569947[/C][C]4.82974713058839[/C][/ROW]
[ROW][C]0.14[/C][C]179.386670984197[/C][C]4.59885721818334[/C][/ROW]
[ROW][C]0.15[/C][C]180.510824223849[/C][C]4.33071954623412[/C][/ROW]
[ROW][C]0.16[/C][C]181.548736245346[/C][C]4.06668590125278[/C][/ROW]
[ROW][C]0.17[/C][C]182.508962419103[/C][C]3.84945886357283[/C][/ROW]
[ROW][C]0.18[/C][C]183.406043202664[/C][C]3.71456408471463[/C][/ROW]
[ROW][C]0.19[/C][C]184.258871711985[/C][C]3.68288080951705[/C][/ROW]
[ROW][C]0.2[/C][C]185.088497431275[/C][C]3.76061283273554[/C][/ROW]
[ROW][C]0.21[/C][C]185.915922557118[/C][C]3.93874149881493[/C][/ROW]
[ROW][C]0.22[/C][C]186.760285646105[/C][C]4.20007269425554[/C][/ROW]
[ROW][C]0.23[/C][C]187.637630792068[/C][C]4.52465292753629[/C][/ROW]
[ROW][C]0.24[/C][C]188.560290072703[/C][C]4.89120092373114[/C][/ROW]
[ROW][C]0.25[/C][C]189.536793296544[/C][C]5.28209546215512[/C][/ROW]
[ROW][C]0.26[/C][C]190.572163862002[/C][C]5.68143072185067[/C][/ROW]
[ROW][C]0.27[/C][C]191.6684475929[/C][C]6.07802878575684[/C][/ROW]
[ROW][C]0.28[/C][C]192.825334144118[/C][C]6.46265222664211[/C][/ROW]
[ROW][C]0.29[/C][C]194.040754654608[/C][C]6.83003546615979[/C][/ROW]
[ROW][C]0.3[/C][C]195.311368912996[/C][C]7.17726298523263[/C][/ROW]
[ROW][C]0.31[/C][C]196.632889491314[/C][C]7.50122340775291[/C][/ROW]
[ROW][C]0.32[/C][C]198.000228900441[/C][C]7.79873410248729[/C][/ROW]
[ROW][C]0.33[/C][C]199.407496056332[/C][C]8.06535673979302[/C][/ROW]
[ROW][C]0.34[/C][C]200.847903996492[/C][C]8.29332452693436[/C][/ROW]
[ROW][C]0.35[/C][C]202.313673763556[/C][C]8.4744334517319[/C][/ROW]
[ROW][C]0.36[/C][C]203.796022760653[/C][C]8.59948197544419[/C][/ROW]
[ROW][C]0.37[/C][C]205.285306955093[/C][C]8.66018128887216[/C][/ROW]
[ROW][C]0.38[/C][C]206.771348224163[/C][C]8.65184083017732[/C][/ROW]
[ROW][C]0.39[/C][C]208.243929638602[/C][C]8.57400085832311[/C][/ROW]
[ROW][C]0.4[/C][C]209.693394667697[/C][C]8.4315015115675[/C][/ROW]
[ROW][C]0.41[/C][C]211.111253272363[/C][C]8.23383056808476[/C][/ROW]
[ROW][C]0.42[/C][C]212.490687347331[/C][C]7.99481678202907[/C][/ROW]
[ROW][C]0.43[/C][C]213.826862924959[/C][C]7.72997995152044[/C][/ROW]
[ROW][C]0.44[/C][C]215.116993423525[/C][C]7.45477612183826[/C][/ROW]
[ROW][C]0.45[/C][C]216.360148079906[/C][C]7.18214702046733[/C][/ROW]
[ROW][C]0.46[/C][C]217.5568506937[/C][C]6.92080186868286[/C][/ROW]
[ROW][C]0.47[/C][C]218.708554237782[/C][C]6.67449158556568[/C][/ROW]
[ROW][C]0.48[/C][C]219.8170980833[/C][C]6.44285191605048[/C][/ROW]
[ROW][C]0.49[/C][C]220.884252770762[/C][C]6.22089357390493[/C][/ROW]
[ROW][C]0.5[/C][C]221.911434097684[/C][C]6.00275764931895[/C][/ROW]
[ROW][C]0.51[/C][C]222.899630071848[/C][C]5.78322221622203[/C][/ROW]
[ROW][C]0.52[/C][C]223.849540066659[/C][C]5.55879594315142[/C][/ROW]
[ROW][C]0.53[/C][C]224.761884859066[/C][C]5.33004583347078[/C][/ROW]
[ROW][C]0.54[/C][C]225.63781698277[/C][C]5.10066523709498[/C][/ROW]
[ROW][C]0.55[/C][C]226.479347598098[/C][C]4.87824714248651[/C][/ROW]
[ROW][C]0.56[/C][C]227.289709594011[/C][C]4.67289034141164[/C][/ROW]
[ROW][C]0.57[/C][C]228.073594062419[/C][C]4.49606568569861[/C][/ROW]
[ROW][C]0.58[/C][C]228.837223295978[/C][C]4.35958921578895[/C][/ROW]
[ROW][C]0.59[/C][C]229.588251739504[/C][C]4.27356472503535[/C][/ROW]
[ROW][C]0.6[/C][C]230.335511082996[/C][C]4.24491172508112[/C][/ROW]
[ROW][C]0.61[/C][C]231.08863286473[/C][C]4.27753121576746[/C][/ROW]
[ROW][C]0.62[/C][C]231.857589882043[/C][C]4.37078584574953[/C][/ROW]
[ROW][C]0.63[/C][C]232.652197109464[/C][C]4.52103994541828[/C][/ROW]
[ROW][C]0.64[/C][C]233.48160627257[/C][C]4.72052072664349[/C][/ROW]
[ROW][C]0.65[/C][C]234.353819224544[/C][C]4.96011583155801[/C][/ROW]
[ROW][C]0.66[/C][C]235.275237223641[/C][C]5.22780614880501[/C][/ROW]
[ROW][C]0.67[/C][C]236.25025854397[/C][C]5.51055124090872[/C][/ROW]
[ROW][C]0.68[/C][C]237.28093652268[/C][C]5.79342609156736[/C][/ROW]
[ROW][C]0.69[/C][C]238.366713589284[/C][C]6.06119476248651[/C][/ROW]
[ROW][C]0.7[/C][C]239.504252328569[/C][C]6.2979750025677[/C][/ROW]
[ROW][C]0.71[/C][C]240.68738996027[/C][C]6.48882162271282[/C][/ROW]
[ROW][C]0.72[/C][C]241.907245626449[/C][C]6.6197766113723[/C][/ROW]
[ROW][C]0.73[/C][C]243.152508906657[/C][C]6.67885546851492[/C][/ROW]
[ROW][C]0.74[/C][C]244.409931988734[/C][C]6.65777346034028[/C][/ROW]
[ROW][C]0.75[/C][C]245.665036387516[/C][C]6.55237916547312[/C][/ROW]
[ROW][C]0.76[/C][C]246.903027923198[/C][C]6.36341762348061[/C][/ROW]
[ROW][C]0.77[/C][C]248.109891235541[/C][C]6.09747851156101[/C][/ROW]
[ROW][C]0.78[/C][C]249.273608567624[/C][C]5.76658854893043[/C][/ROW]
[ROW][C]0.79[/C][C]250.385419086722[/C][C]5.38921602510502[/C][/ROW]
[ROW][C]0.8[/C][C]251.441007871948[/C][C]4.98852724475584[/C][/ROW]
[ROW][C]0.81[/C][C]252.441491935814[/C][C]4.5924286772129[/C][/ROW]
[ROW][C]0.82[/C][C]253.394058890346[/C][C]4.23172328822805[/C][/ROW]
[ROW][C]0.83[/C][C]254.312117892634[/C][C]3.93741289835984[/C][/ROW]
[ROW][C]0.84[/C][C]255.21485108864[/C][C]3.73764035685472[/C][/ROW]
[ROW][C]0.85[/C][C]256.126121321471[/C][C]3.65281637237181[/C][/ROW]
[ROW][C]0.86[/C][C]257.072819299802[/C][C]3.68910590239884[/C][/ROW]
[ROW][C]0.87[/C][C]258.08294215251[/C][C]3.83598272961389[/C][/ROW]
[ROW][C]0.88[/C][C]259.183985711921[/C][C]4.06756337994245[/C][/ROW]
[ROW][C]0.89[/C][C]260.402535549705[/C][C]4.35036667280917[/C][/ROW]
[ROW][C]0.9[/C][C]261.766034814351[/C][C]4.65500431601785[/C][/ROW]
[ROW][C]0.91[/C][C]263.30712931187[/C][C]4.97072287562146[/C][/ROW]
[ROW][C]0.92[/C][C]265.069085087588[/C][C]5.32020120923292[/C][/ROW]
[ROW][C]0.93[/C][C]267.107152364109[/C][C]5.76290096191376[/C][/ROW]
[ROW][C]0.94[/C][C]269.476481495171[/C][C]6.35654384405106[/C][/ROW]
[ROW][C]0.95[/C][C]272.196403639097[/C][C]7.04625187249992[/C][/ROW]
[ROW][C]0.96[/C][C]275.190744750185[/C][C]7.52507768963421[/C][/ROW]
[ROW][C]0.97[/C][C]278.229254797635[/C][C]7.22854705475909[/C][/ROW]
[ROW][C]0.98[/C][C]280.926716733605[/C][C]5.65009632834749[/C][/ROW]
[ROW][C]0.99[/C][C]282.860275334974[/C][C]2.9844595403031[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162997&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162997&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
0.01151.9486951056236.89629995228866
0.02155.0189829827987.03297485385692
0.03158.446056660126.90095489262722
0.04161.6905733380436.42716886935261
0.05164.5277681220435.83421227884748
0.06166.943018829115.36402275987991
0.07169.014739769575.1088810047935
0.08170.8397214983235.03081355078622
0.09172.497894049275.04635614261436
0.1174.0417458546365.07851769486369
0.11175.4983427937455.07142044424997
0.12176.8763767606434.99163799297085
0.13178.1741615699474.82974713058839
0.14179.3866709841974.59885721818334
0.15180.5108242238494.33071954623412
0.16181.5487362453464.06668590125278
0.17182.5089624191033.84945886357283
0.18183.4060432026643.71456408471463
0.19184.2588717119853.68288080951705
0.2185.0884974312753.76061283273554
0.21185.9159225571183.93874149881493
0.22186.7602856461054.20007269425554
0.23187.6376307920684.52465292753629
0.24188.5602900727034.89120092373114
0.25189.5367932965445.28209546215512
0.26190.5721638620025.68143072185067
0.27191.66844759296.07802878575684
0.28192.8253341441186.46265222664211
0.29194.0407546546086.83003546615979
0.3195.3113689129967.17726298523263
0.31196.6328894913147.50122340775291
0.32198.0002289004417.79873410248729
0.33199.4074960563328.06535673979302
0.34200.8479039964928.29332452693436
0.35202.3136737635568.4744334517319
0.36203.7960227606538.59948197544419
0.37205.2853069550938.66018128887216
0.38206.7713482241638.65184083017732
0.39208.2439296386028.57400085832311
0.4209.6933946676978.4315015115675
0.41211.1112532723638.23383056808476
0.42212.4906873473317.99481678202907
0.43213.8268629249597.72997995152044
0.44215.1169934235257.45477612183826
0.45216.3601480799067.18214702046733
0.46217.55685069376.92080186868286
0.47218.7085542377826.67449158556568
0.48219.81709808336.44285191605048
0.49220.8842527707626.22089357390493
0.5221.9114340976846.00275764931895
0.51222.8996300718485.78322221622203
0.52223.8495400666595.55879594315142
0.53224.7618848590665.33004583347078
0.54225.637816982775.10066523709498
0.55226.4793475980984.87824714248651
0.56227.2897095940114.67289034141164
0.57228.0735940624194.49606568569861
0.58228.8372232959784.35958921578895
0.59229.5882517395044.27356472503535
0.6230.3355110829964.24491172508112
0.61231.088632864734.27753121576746
0.62231.8575898820434.37078584574953
0.63232.6521971094644.52103994541828
0.64233.481606272574.72052072664349
0.65234.3538192245444.96011583155801
0.66235.2752372236415.22780614880501
0.67236.250258543975.51055124090872
0.68237.280936522685.79342609156736
0.69238.3667135892846.06119476248651
0.7239.5042523285696.2979750025677
0.71240.687389960276.48882162271282
0.72241.9072456264496.6197766113723
0.73243.1525089066576.67885546851492
0.74244.4099319887346.65777346034028
0.75245.6650363875166.55237916547312
0.76246.9030279231986.36341762348061
0.77248.1098912355416.09747851156101
0.78249.2736085676245.76658854893043
0.79250.3854190867225.38921602510502
0.8251.4410078719484.98852724475584
0.81252.4414919358144.5924286772129
0.82253.3940588903464.23172328822805
0.83254.3121178926343.93741289835984
0.84255.214851088643.73764035685472
0.85256.1261213214713.65281637237181
0.86257.0728192998023.68910590239884
0.87258.082942152513.83598272961389
0.88259.1839857119214.06756337994245
0.89260.4025355497054.35036667280917
0.9261.7660348143514.65500431601785
0.91263.307129311874.97072287562146
0.92265.0690850875885.32020120923292
0.93267.1071523641095.76290096191376
0.94269.4764814951716.35654384405106
0.95272.1964036390977.04625187249992
0.96275.1907447501857.52507768963421
0.97278.2292547976357.22854705475909
0.98280.9267167336055.65009632834749
0.99282.8602753349742.9844595403031


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')