FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 08 Jul 2010 13:55:40 +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/2010/Jul/08/t12785973372m35je4xahinm99.htm/, Retrieved Thu, 09 May 2024 18:08:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=77963, Retrieved Thu, 09 May 2024 18:08:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact218

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] [Kelly Janbroers -...] [2010-07-08 13:55:40] [413e0fefcf22560c5655fbc122c1a3c2] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
268
267
266
264
262
261
262
264
265
265
266
268
260
264
265
262
258
265
273
273
270
263
260
257
248
248
237
228
225
231
243
250
246
240
236
235
225
230
225
221
231
234
249
257
253
252
245
239
229
232
222
218
223
221
230
234
237
226
215
211
203
202
187
179
181
172
182
180
175
163
160
151
145
140
125
122
124
108
115
116
104
98
101
91

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=77963&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=77963&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77963&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
0.0193.59028900617495.85921662416437
0.0297.28749083539745.15423038318602
0.03100.9190358997365.5170261008647
0.04104.3315575609136.4640565758811
0.05107.7086255966057.476893287418
0.06111.1683526714498.40336793163922
0.07114.7499189175579.3488114832939
0.08118.48460674983410.4846433992704
0.09122.42280598571911.8810644971000
0.1126.61706402889213.4493941773534
0.11131.09208367948914.9953420259516
0.12135.82515739463216.3080296444605
0.13140.74558075467117.2307750228291
0.14145.74991160846317.6926464436189
0.15150.72462911512717.7100256694759
0.16155.56795273610217.3657327013076
0.17160.20565598076616.7851630246661
0.18164.59907120875216.1118020894272
0.19168.74571329412615.4881373861288
0.2172.67391297868615.0343019921950
0.21176.43311507442414.8272565428060
0.22180.08164163777214.8810523153091
0.23183.67394300123315.1433304914000
0.24187.24949460605515.5082660489298
0.25190.82527564198515.8447558878452
0.26194.39306727252516.0265617651586
0.27197.92176204187115.9572873958392
0.28201.36378808759515.5839026095741
0.29204.66395025773314.9013671832172
0.3207.76868331251813.9473428323904
0.31210.63392320027512.7905463597950
0.32213.23039140227411.5163858645005
0.33215.54583135467910.2125259851801
0.34217.5844181088718.95689582611559
0.35219.3640363843637.80991599281992
0.36220.9123352259746.81138091067345
0.37222.2624469255615.97977803745435
0.38223.4490778895215.31530660689106
0.39224.5054254747574.80432690158411
0.4225.461119396094.42471504806566
0.41226.3411756519824.15016006672652
0.42227.1658061111823.95592694314518
0.43227.9508498930813.82201074360419
0.44228.7085739183443.73308681745004
0.45229.4486145304443.6803750951712
0.46230.1788832105503.65889265442916
0.47230.9063209129843.66722306421238
0.48231.6374434458523.70586551926282
0.49232.3786647298493.77552756474268
0.5233.1364115830763.87698200535787
0.51233.9170551181784.00975545831283
0.52234.7266870874624.17255297863102
0.53235.5707734761114.360914744061
0.54236.4537287739874.56864707768333
0.55237.3784732126454.78618300561315
0.56238.3460554069605.00207426138559
0.57239.3554329198515.20359824034283
0.58240.4034916896035.37919836936869
0.59241.4853459488645.51965813907831
0.6242.5948970498635.61959271389452
0.61243.7255571825025.67882372201443
0.62244.8709844609675.70172799905365
0.63246.0256517203345.69625253304069
0.64247.1850969052035.67053485721501
0.65248.3457775970625.63130842713799
0.66249.5045586337065.58096663689076
0.67250.6579698181075.5165279103414
0.68251.8014468719225.43004289071409
0.69252.9287875159365.31100839305272
0.7254.0320075299855.14967881575224
0.71255.1016811181674.93898583909389
0.72256.1277247209144.67757230025791
0.73257.1004691423664.37088848083474
0.74258.0117921050104.02909300640679
0.75258.8560688670693.66760727148689
0.76259.6307422504793.30280301245356
0.77260.336401285562.95111863705736
0.78260.9763678629262.6248948493651
0.79261.5558997349372.33228779171436
0.8262.0812045541162.07562155256674
0.81262.5585062765621.85245057203371
0.82262.9934010227991.65698076033684
0.83263.3906809306191.48249442522687
0.84263.7546971370271.32548284446310
0.85264.0901912635731.18537747635862
0.86264.4033723171411.06723755750520
0.87264.7028881700620.980207991788204
0.88265.0002903608520.935094488826424
0.89265.3096936324250.938979051819147
0.9265.6466836736010.989636277451154
0.91266.0271969496771.07528248309717
0.92266.4679399848251.18017472617914
0.93266.9901463444481.29924077497646
0.94267.6262088599411.45355609614988
0.95268.4216997774701.68641558884639
0.96269.4151523620981.99459218802840
0.97270.5790428858442.20562594892127
0.98271.7457892352391.95597619337453
0.99272.6224219012411.02849321532540

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 93.5902890061749 & 5.85921662416437 \tabularnewline
0.02 & 97.2874908353974 & 5.15423038318602 \tabularnewline
0.03 & 100.919035899736 & 5.5170261008647 \tabularnewline
0.04 & 104.331557560913 & 6.4640565758811 \tabularnewline
0.05 & 107.708625596605 & 7.476893287418 \tabularnewline
0.06 & 111.168352671449 & 8.40336793163922 \tabularnewline
0.07 & 114.749918917557 & 9.3488114832939 \tabularnewline
0.08 & 118.484606749834 & 10.4846433992704 \tabularnewline
0.09 & 122.422805985719 & 11.8810644971000 \tabularnewline
0.1 & 126.617064028892 & 13.4493941773534 \tabularnewline
0.11 & 131.092083679489 & 14.9953420259516 \tabularnewline
0.12 & 135.825157394632 & 16.3080296444605 \tabularnewline
0.13 & 140.745580754671 & 17.2307750228291 \tabularnewline
0.14 & 145.749911608463 & 17.6926464436189 \tabularnewline
0.15 & 150.724629115127 & 17.7100256694759 \tabularnewline
0.16 & 155.567952736102 & 17.3657327013076 \tabularnewline
0.17 & 160.205655980766 & 16.7851630246661 \tabularnewline
0.18 & 164.599071208752 & 16.1118020894272 \tabularnewline
0.19 & 168.745713294126 & 15.4881373861288 \tabularnewline
0.2 & 172.673912978686 & 15.0343019921950 \tabularnewline
0.21 & 176.433115074424 & 14.8272565428060 \tabularnewline
0.22 & 180.081641637772 & 14.8810523153091 \tabularnewline
0.23 & 183.673943001233 & 15.1433304914000 \tabularnewline
0.24 & 187.249494606055 & 15.5082660489298 \tabularnewline
0.25 & 190.825275641985 & 15.8447558878452 \tabularnewline
0.26 & 194.393067272525 & 16.0265617651586 \tabularnewline
0.27 & 197.921762041871 & 15.9572873958392 \tabularnewline
0.28 & 201.363788087595 & 15.5839026095741 \tabularnewline
0.29 & 204.663950257733 & 14.9013671832172 \tabularnewline
0.3 & 207.768683312518 & 13.9473428323904 \tabularnewline
0.31 & 210.633923200275 & 12.7905463597950 \tabularnewline
0.32 & 213.230391402274 & 11.5163858645005 \tabularnewline
0.33 & 215.545831354679 & 10.2125259851801 \tabularnewline
0.34 & 217.584418108871 & 8.95689582611559 \tabularnewline
0.35 & 219.364036384363 & 7.80991599281992 \tabularnewline
0.36 & 220.912335225974 & 6.81138091067345 \tabularnewline
0.37 & 222.262446925561 & 5.97977803745435 \tabularnewline
0.38 & 223.449077889521 & 5.31530660689106 \tabularnewline
0.39 & 224.505425474757 & 4.80432690158411 \tabularnewline
0.4 & 225.46111939609 & 4.42471504806566 \tabularnewline
0.41 & 226.341175651982 & 4.15016006672652 \tabularnewline
0.42 & 227.165806111182 & 3.95592694314518 \tabularnewline
0.43 & 227.950849893081 & 3.82201074360419 \tabularnewline
0.44 & 228.708573918344 & 3.73308681745004 \tabularnewline
0.45 & 229.448614530444 & 3.6803750951712 \tabularnewline
0.46 & 230.178883210550 & 3.65889265442916 \tabularnewline
0.47 & 230.906320912984 & 3.66722306421238 \tabularnewline
0.48 & 231.637443445852 & 3.70586551926282 \tabularnewline
0.49 & 232.378664729849 & 3.77552756474268 \tabularnewline
0.5 & 233.136411583076 & 3.87698200535787 \tabularnewline
0.51 & 233.917055118178 & 4.00975545831283 \tabularnewline
0.52 & 234.726687087462 & 4.17255297863102 \tabularnewline
0.53 & 235.570773476111 & 4.360914744061 \tabularnewline
0.54 & 236.453728773987 & 4.56864707768333 \tabularnewline
0.55 & 237.378473212645 & 4.78618300561315 \tabularnewline
0.56 & 238.346055406960 & 5.00207426138559 \tabularnewline
0.57 & 239.355432919851 & 5.20359824034283 \tabularnewline
0.58 & 240.403491689603 & 5.37919836936869 \tabularnewline
0.59 & 241.485345948864 & 5.51965813907831 \tabularnewline
0.6 & 242.594897049863 & 5.61959271389452 \tabularnewline
0.61 & 243.725557182502 & 5.67882372201443 \tabularnewline
0.62 & 244.870984460967 & 5.70172799905365 \tabularnewline
0.63 & 246.025651720334 & 5.69625253304069 \tabularnewline
0.64 & 247.185096905203 & 5.67053485721501 \tabularnewline
0.65 & 248.345777597062 & 5.63130842713799 \tabularnewline
0.66 & 249.504558633706 & 5.58096663689076 \tabularnewline
0.67 & 250.657969818107 & 5.5165279103414 \tabularnewline
0.68 & 251.801446871922 & 5.43004289071409 \tabularnewline
0.69 & 252.928787515936 & 5.31100839305272 \tabularnewline
0.7 & 254.032007529985 & 5.14967881575224 \tabularnewline
0.71 & 255.101681118167 & 4.93898583909389 \tabularnewline
0.72 & 256.127724720914 & 4.67757230025791 \tabularnewline
0.73 & 257.100469142366 & 4.37088848083474 \tabularnewline
0.74 & 258.011792105010 & 4.02909300640679 \tabularnewline
0.75 & 258.856068867069 & 3.66760727148689 \tabularnewline
0.76 & 259.630742250479 & 3.30280301245356 \tabularnewline
0.77 & 260.33640128556 & 2.95111863705736 \tabularnewline
0.78 & 260.976367862926 & 2.6248948493651 \tabularnewline
0.79 & 261.555899734937 & 2.33228779171436 \tabularnewline
0.8 & 262.081204554116 & 2.07562155256674 \tabularnewline
0.81 & 262.558506276562 & 1.85245057203371 \tabularnewline
0.82 & 262.993401022799 & 1.65698076033684 \tabularnewline
0.83 & 263.390680930619 & 1.48249442522687 \tabularnewline
0.84 & 263.754697137027 & 1.32548284446310 \tabularnewline
0.85 & 264.090191263573 & 1.18537747635862 \tabularnewline
0.86 & 264.403372317141 & 1.06723755750520 \tabularnewline
0.87 & 264.702888170062 & 0.980207991788204 \tabularnewline
0.88 & 265.000290360852 & 0.935094488826424 \tabularnewline
0.89 & 265.309693632425 & 0.938979051819147 \tabularnewline
0.9 & 265.646683673601 & 0.989636277451154 \tabularnewline
0.91 & 266.027196949677 & 1.07528248309717 \tabularnewline
0.92 & 266.467939984825 & 1.18017472617914 \tabularnewline
0.93 & 266.990146344448 & 1.29924077497646 \tabularnewline
0.94 & 267.626208859941 & 1.45355609614988 \tabularnewline
0.95 & 268.421699777470 & 1.68641558884639 \tabularnewline
0.96 & 269.415152362098 & 1.99459218802840 \tabularnewline
0.97 & 270.579042885844 & 2.20562594892127 \tabularnewline
0.98 & 271.745789235239 & 1.95597619337453 \tabularnewline
0.99 & 272.622421901241 & 1.02849321532540 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77963&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]93.5902890061749[/C][C]5.85921662416437[/C][/ROW]
[ROW][C]0.02[/C][C]97.2874908353974[/C][C]5.15423038318602[/C][/ROW]
[ROW][C]0.03[/C][C]100.919035899736[/C][C]5.5170261008647[/C][/ROW]
[ROW][C]0.04[/C][C]104.331557560913[/C][C]6.4640565758811[/C][/ROW]
[ROW][C]0.05[/C][C]107.708625596605[/C][C]7.476893287418[/C][/ROW]
[ROW][C]0.06[/C][C]111.168352671449[/C][C]8.40336793163922[/C][/ROW]
[ROW][C]0.07[/C][C]114.749918917557[/C][C]9.3488114832939[/C][/ROW]
[ROW][C]0.08[/C][C]118.484606749834[/C][C]10.4846433992704[/C][/ROW]
[ROW][C]0.09[/C][C]122.422805985719[/C][C]11.8810644971000[/C][/ROW]
[ROW][C]0.1[/C][C]126.617064028892[/C][C]13.4493941773534[/C][/ROW]
[ROW][C]0.11[/C][C]131.092083679489[/C][C]14.9953420259516[/C][/ROW]
[ROW][C]0.12[/C][C]135.825157394632[/C][C]16.3080296444605[/C][/ROW]
[ROW][C]0.13[/C][C]140.745580754671[/C][C]17.2307750228291[/C][/ROW]
[ROW][C]0.14[/C][C]145.749911608463[/C][C]17.6926464436189[/C][/ROW]
[ROW][C]0.15[/C][C]150.724629115127[/C][C]17.7100256694759[/C][/ROW]
[ROW][C]0.16[/C][C]155.567952736102[/C][C]17.3657327013076[/C][/ROW]
[ROW][C]0.17[/C][C]160.205655980766[/C][C]16.7851630246661[/C][/ROW]
[ROW][C]0.18[/C][C]164.599071208752[/C][C]16.1118020894272[/C][/ROW]
[ROW][C]0.19[/C][C]168.745713294126[/C][C]15.4881373861288[/C][/ROW]
[ROW][C]0.2[/C][C]172.673912978686[/C][C]15.0343019921950[/C][/ROW]
[ROW][C]0.21[/C][C]176.433115074424[/C][C]14.8272565428060[/C][/ROW]
[ROW][C]0.22[/C][C]180.081641637772[/C][C]14.8810523153091[/C][/ROW]
[ROW][C]0.23[/C][C]183.673943001233[/C][C]15.1433304914000[/C][/ROW]
[ROW][C]0.24[/C][C]187.249494606055[/C][C]15.5082660489298[/C][/ROW]
[ROW][C]0.25[/C][C]190.825275641985[/C][C]15.8447558878452[/C][/ROW]
[ROW][C]0.26[/C][C]194.393067272525[/C][C]16.0265617651586[/C][/ROW]
[ROW][C]0.27[/C][C]197.921762041871[/C][C]15.9572873958392[/C][/ROW]
[ROW][C]0.28[/C][C]201.363788087595[/C][C]15.5839026095741[/C][/ROW]
[ROW][C]0.29[/C][C]204.663950257733[/C][C]14.9013671832172[/C][/ROW]
[ROW][C]0.3[/C][C]207.768683312518[/C][C]13.9473428323904[/C][/ROW]
[ROW][C]0.31[/C][C]210.633923200275[/C][C]12.7905463597950[/C][/ROW]
[ROW][C]0.32[/C][C]213.230391402274[/C][C]11.5163858645005[/C][/ROW]
[ROW][C]0.33[/C][C]215.545831354679[/C][C]10.2125259851801[/C][/ROW]
[ROW][C]0.34[/C][C]217.584418108871[/C][C]8.95689582611559[/C][/ROW]
[ROW][C]0.35[/C][C]219.364036384363[/C][C]7.80991599281992[/C][/ROW]
[ROW][C]0.36[/C][C]220.912335225974[/C][C]6.81138091067345[/C][/ROW]
[ROW][C]0.37[/C][C]222.262446925561[/C][C]5.97977803745435[/C][/ROW]
[ROW][C]0.38[/C][C]223.449077889521[/C][C]5.31530660689106[/C][/ROW]
[ROW][C]0.39[/C][C]224.505425474757[/C][C]4.80432690158411[/C][/ROW]
[ROW][C]0.4[/C][C]225.46111939609[/C][C]4.42471504806566[/C][/ROW]
[ROW][C]0.41[/C][C]226.341175651982[/C][C]4.15016006672652[/C][/ROW]
[ROW][C]0.42[/C][C]227.165806111182[/C][C]3.95592694314518[/C][/ROW]
[ROW][C]0.43[/C][C]227.950849893081[/C][C]3.82201074360419[/C][/ROW]
[ROW][C]0.44[/C][C]228.708573918344[/C][C]3.73308681745004[/C][/ROW]
[ROW][C]0.45[/C][C]229.448614530444[/C][C]3.6803750951712[/C][/ROW]
[ROW][C]0.46[/C][C]230.178883210550[/C][C]3.65889265442916[/C][/ROW]
[ROW][C]0.47[/C][C]230.906320912984[/C][C]3.66722306421238[/C][/ROW]
[ROW][C]0.48[/C][C]231.637443445852[/C][C]3.70586551926282[/C][/ROW]
[ROW][C]0.49[/C][C]232.378664729849[/C][C]3.77552756474268[/C][/ROW]
[ROW][C]0.5[/C][C]233.136411583076[/C][C]3.87698200535787[/C][/ROW]
[ROW][C]0.51[/C][C]233.917055118178[/C][C]4.00975545831283[/C][/ROW]
[ROW][C]0.52[/C][C]234.726687087462[/C][C]4.17255297863102[/C][/ROW]
[ROW][C]0.53[/C][C]235.570773476111[/C][C]4.360914744061[/C][/ROW]
[ROW][C]0.54[/C][C]236.453728773987[/C][C]4.56864707768333[/C][/ROW]
[ROW][C]0.55[/C][C]237.378473212645[/C][C]4.78618300561315[/C][/ROW]
[ROW][C]0.56[/C][C]238.346055406960[/C][C]5.00207426138559[/C][/ROW]
[ROW][C]0.57[/C][C]239.355432919851[/C][C]5.20359824034283[/C][/ROW]
[ROW][C]0.58[/C][C]240.403491689603[/C][C]5.37919836936869[/C][/ROW]
[ROW][C]0.59[/C][C]241.485345948864[/C][C]5.51965813907831[/C][/ROW]
[ROW][C]0.6[/C][C]242.594897049863[/C][C]5.61959271389452[/C][/ROW]
[ROW][C]0.61[/C][C]243.725557182502[/C][C]5.67882372201443[/C][/ROW]
[ROW][C]0.62[/C][C]244.870984460967[/C][C]5.70172799905365[/C][/ROW]
[ROW][C]0.63[/C][C]246.025651720334[/C][C]5.69625253304069[/C][/ROW]
[ROW][C]0.64[/C][C]247.185096905203[/C][C]5.67053485721501[/C][/ROW]
[ROW][C]0.65[/C][C]248.345777597062[/C][C]5.63130842713799[/C][/ROW]
[ROW][C]0.66[/C][C]249.504558633706[/C][C]5.58096663689076[/C][/ROW]
[ROW][C]0.67[/C][C]250.657969818107[/C][C]5.5165279103414[/C][/ROW]
[ROW][C]0.68[/C][C]251.801446871922[/C][C]5.43004289071409[/C][/ROW]
[ROW][C]0.69[/C][C]252.928787515936[/C][C]5.31100839305272[/C][/ROW]
[ROW][C]0.7[/C][C]254.032007529985[/C][C]5.14967881575224[/C][/ROW]
[ROW][C]0.71[/C][C]255.101681118167[/C][C]4.93898583909389[/C][/ROW]
[ROW][C]0.72[/C][C]256.127724720914[/C][C]4.67757230025791[/C][/ROW]
[ROW][C]0.73[/C][C]257.100469142366[/C][C]4.37088848083474[/C][/ROW]
[ROW][C]0.74[/C][C]258.011792105010[/C][C]4.02909300640679[/C][/ROW]
[ROW][C]0.75[/C][C]258.856068867069[/C][C]3.66760727148689[/C][/ROW]
[ROW][C]0.76[/C][C]259.630742250479[/C][C]3.30280301245356[/C][/ROW]
[ROW][C]0.77[/C][C]260.33640128556[/C][C]2.95111863705736[/C][/ROW]
[ROW][C]0.78[/C][C]260.976367862926[/C][C]2.6248948493651[/C][/ROW]
[ROW][C]0.79[/C][C]261.555899734937[/C][C]2.33228779171436[/C][/ROW]
[ROW][C]0.8[/C][C]262.081204554116[/C][C]2.07562155256674[/C][/ROW]
[ROW][C]0.81[/C][C]262.558506276562[/C][C]1.85245057203371[/C][/ROW]
[ROW][C]0.82[/C][C]262.993401022799[/C][C]1.65698076033684[/C][/ROW]
[ROW][C]0.83[/C][C]263.390680930619[/C][C]1.48249442522687[/C][/ROW]
[ROW][C]0.84[/C][C]263.754697137027[/C][C]1.32548284446310[/C][/ROW]
[ROW][C]0.85[/C][C]264.090191263573[/C][C]1.18537747635862[/C][/ROW]
[ROW][C]0.86[/C][C]264.403372317141[/C][C]1.06723755750520[/C][/ROW]
[ROW][C]0.87[/C][C]264.702888170062[/C][C]0.980207991788204[/C][/ROW]
[ROW][C]0.88[/C][C]265.000290360852[/C][C]0.935094488826424[/C][/ROW]
[ROW][C]0.89[/C][C]265.309693632425[/C][C]0.938979051819147[/C][/ROW]
[ROW][C]0.9[/C][C]265.646683673601[/C][C]0.989636277451154[/C][/ROW]
[ROW][C]0.91[/C][C]266.027196949677[/C][C]1.07528248309717[/C][/ROW]
[ROW][C]0.92[/C][C]266.467939984825[/C][C]1.18017472617914[/C][/ROW]
[ROW][C]0.93[/C][C]266.990146344448[/C][C]1.29924077497646[/C][/ROW]
[ROW][C]0.94[/C][C]267.626208859941[/C][C]1.45355609614988[/C][/ROW]
[ROW][C]0.95[/C][C]268.421699777470[/C][C]1.68641558884639[/C][/ROW]
[ROW][C]0.96[/C][C]269.415152362098[/C][C]1.99459218802840[/C][/ROW]
[ROW][C]0.97[/C][C]270.579042885844[/C][C]2.20562594892127[/C][/ROW]
[ROW][C]0.98[/C][C]271.745789235239[/C][C]1.95597619337453[/C][/ROW]
[ROW][C]0.99[/C][C]272.622421901241[/C][C]1.02849321532540[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77963&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77963&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
0.0193.59028900617495.85921662416437
0.0297.28749083539745.15423038318602
0.03100.9190358997365.5170261008647
0.04104.3315575609136.4640565758811
0.05107.7086255966057.476893287418
0.06111.1683526714498.40336793163922
0.07114.7499189175579.3488114832939
0.08118.48460674983410.4846433992704
0.09122.42280598571911.8810644971000
0.1126.61706402889213.4493941773534
0.11131.09208367948914.9953420259516
0.12135.82515739463216.3080296444605
0.13140.74558075467117.2307750228291
0.14145.74991160846317.6926464436189
0.15150.72462911512717.7100256694759
0.16155.56795273610217.3657327013076
0.17160.20565598076616.7851630246661
0.18164.59907120875216.1118020894272
0.19168.74571329412615.4881373861288
0.2172.67391297868615.0343019921950
0.21176.43311507442414.8272565428060
0.22180.08164163777214.8810523153091
0.23183.67394300123315.1433304914000
0.24187.24949460605515.5082660489298
0.25190.82527564198515.8447558878452
0.26194.39306727252516.0265617651586
0.27197.92176204187115.9572873958392
0.28201.36378808759515.5839026095741
0.29204.66395025773314.9013671832172
0.3207.76868331251813.9473428323904
0.31210.63392320027512.7905463597950
0.32213.23039140227411.5163858645005
0.33215.54583135467910.2125259851801
0.34217.5844181088718.95689582611559
0.35219.3640363843637.80991599281992
0.36220.9123352259746.81138091067345
0.37222.2624469255615.97977803745435
0.38223.4490778895215.31530660689106
0.39224.5054254747574.80432690158411
0.4225.461119396094.42471504806566
0.41226.3411756519824.15016006672652
0.42227.1658061111823.95592694314518
0.43227.9508498930813.82201074360419
0.44228.7085739183443.73308681745004
0.45229.4486145304443.6803750951712
0.46230.1788832105503.65889265442916
0.47230.9063209129843.66722306421238
0.48231.6374434458523.70586551926282
0.49232.3786647298493.77552756474268
0.5233.1364115830763.87698200535787
0.51233.9170551181784.00975545831283
0.52234.7266870874624.17255297863102
0.53235.5707734761114.360914744061
0.54236.4537287739874.56864707768333
0.55237.3784732126454.78618300561315
0.56238.3460554069605.00207426138559
0.57239.3554329198515.20359824034283
0.58240.4034916896035.37919836936869
0.59241.4853459488645.51965813907831
0.6242.5948970498635.61959271389452
0.61243.7255571825025.67882372201443
0.62244.8709844609675.70172799905365
0.63246.0256517203345.69625253304069
0.64247.1850969052035.67053485721501
0.65248.3457775970625.63130842713799
0.66249.5045586337065.58096663689076
0.67250.6579698181075.5165279103414
0.68251.8014468719225.43004289071409
0.69252.9287875159365.31100839305272
0.7254.0320075299855.14967881575224
0.71255.1016811181674.93898583909389
0.72256.1277247209144.67757230025791
0.73257.1004691423664.37088848083474
0.74258.0117921050104.02909300640679
0.75258.8560688670693.66760727148689
0.76259.6307422504793.30280301245356
0.77260.336401285562.95111863705736
0.78260.9763678629262.6248948493651
0.79261.5558997349372.33228779171436
0.8262.0812045541162.07562155256674
0.81262.5585062765621.85245057203371
0.82262.9934010227991.65698076033684
0.83263.3906809306191.48249442522687
0.84263.7546971370271.32548284446310
0.85264.0901912635731.18537747635862
0.86264.4033723171411.06723755750520
0.87264.7028881700620.980207991788204
0.88265.0002903608520.935094488826424
0.89265.3096936324250.938979051819147
0.9265.6466836736010.989636277451154
0.91266.0271969496771.07528248309717
0.92266.4679399848251.18017472617914
0.93266.9901463444481.29924077497646
0.94267.6262088599411.45355609614988
0.95268.4216997774701.68641558884639
0.96269.4151523620981.99459218802840
0.97270.5790428858442.20562594892127
0.98271.7457892352391.95597619337453
0.99272.6224219012411.02849321532540


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')