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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, 09 Aug 2011 07:56:29 -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/Aug/09/t13128910805270qo7w3baoavg.htm/, Retrieved Tue, 14 May 2024 13:27:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=123476, Retrieved Tue, 14 May 2024 13:27:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsNick Verbeke
Estimated Impact189

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] [TIJDREEKS B - STAP 7] [2011-08-09 11:56:29] [af5734c86e7bdbdfefb37d9aed9dbb03] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
240
150
290
210
240
240
310
310
190
230
260
320
270
250
240
250
230
230
240
300
190
270
300
330
230
260
300
330
190
260
240
270
170
230
270
320
190
300
310
360
170
280
270
260
280
300
320
370
210
310
290
450
190
290
280
310
340
220
390
410
250
310
280
450
210
390
300
310
370
250
440
360
290
300
340
600
220
410
360
250
410
290
470
350
330
250
270
580
260
450
320
240
420
380
400
370
300
310
280
560
280
480
320
170
420
310
470
420

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123476&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123476&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123476&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01158.51206814797112.6020851186143
0.02167.8383780906127.96164028665921
0.03174.7036593984758.81580189067214
0.04180.4200803146549.5803148687606
0.05185.6168013040339.18311193180194
0.06190.3403716412539.15869823731666
0.07194.81496759025810.1851888722399
0.08199.34301227641211.559894320376
0.09204.03695378377812.5021032531262
0.1208.78697702948412.7199569375957
0.11213.38786711775812.3005189058446
0.12217.66101826501911.4730073312247
0.13221.50637966229910.4565747911851
0.14224.9000023189519.41764785543219
0.15227.8706026762628.47172362737966
0.16230.4752902994857.68273385730424
0.17232.7811566652527.06573693674897
0.18234.853843716736.60592821139976
0.19236.7525029199026.28771232618813
0.2238.529192176416.10776221555378
0.21240.2298330843376.0678165646458
0.22241.8944103950216.15710394723045
0.23243.5558447740296.34574913739223
0.24245.2385274029596.59400831718878
0.25246.9578368501366.86707426147701
0.26248.7211674955097.14202453370133
0.27250.5299633152877.40737616693543
0.28252.3817724811227.65623186804065
0.29254.2716032241487.88113979963134
0.3256.192502391698.07195764273301
0.31258.1357889801688.21799996292372
0.32260.091478105848.3130553310945
0.33262.0491755678938.35656693927574
0.34263.99935043248.35593877003044
0.35265.9346364176818.32533313186734
0.36267.8507748565448.28073216419961
0.37269.7469553956398.23964652785543
0.38271.6255227004598.21427186510427
0.39273.4911873079818.21316486022336
0.4275.3499478278758.23822389652178
0.41277.2079066529598.28756464026802
0.42279.0700952463828.35391118395219
0.43280.9393803897058.42570062196453
0.44282.8155345405838.48674594580586
0.45284.69460995588.51847883503554
0.46286.5688064863978.50138055824455
0.47288.4270064158348.42045691296062
0.48290.2560324672238.26747446581031
0.49292.0424839584868.0455872045466
0.5293.7747890241017.76804747580354
0.51295.4449728878527.45742114026073
0.52297.049665268527.14029125941161
0.53298.590081470816.84105654329907
0.54300.0710593302446.57564720820264
0.55301.499593007446.34974503702125
0.56302.8835209709336.15999338444562
0.57304.2309854961035.99977603558296
0.58305.5509736717655.87041761503161
0.59306.8547891396715.78387430909114
0.6308.1578884929765.76644299701312
0.61309.4813394870535.85080676293352
0.62310.8523078471956.07012063371213
0.63312.3033843796296.4441364249591
0.64313.8710209439496.97989494545311
0.65315.5936173282817.67264512919262
0.66317.5097487754618.51191520560588
0.67319.6566794209279.4856686555857
0.68322.06887399011510.5782598590309
0.69324.7759762584811.7658456215136
0.7327.79987671732313.0096793300076
0.71331.15106228596114.2521336833681
0.72334.82521369644215.4201811061908
0.73338.80160508810816.4367238114775
0.74343.04485751980117.239289624771
0.75347.51076944373517.7985680175914
0.76352.15540279325618.1327890247507
0.77356.94485990956418.3070411603912
0.78361.86205176641518.4135566238207
0.79366.90702509064518.535864657491
0.8372.08945415793218.7095547536863
0.81377.41532000650818.8968903566366
0.82382.87337104557719.0000776696519
0.83388.42892899839918.902307411156
0.84394.0313166603318.5355235518933
0.85399.63589573037417.9360005163984
0.86405.23343081977417.2630181204329
0.87410.87169805305616.7596827253327
0.88416.65271743596816.630266438439
0.89422.6995476558116.8900244771499
0.9429.10993777928117.3104170434814
0.91435.94119517981517.5837924126108
0.92443.2866574616517.6516197733301
0.93451.49902459235218.0636771070022
0.94461.56400793773920.2873645820504
0.95475.42116973756326.4899784176652
0.96495.57162226032937.0523220872005
0.97523.1488478086446.4106629176918
0.98555.18220489796144.157888404382
0.99584.05259197737428.9281634873382

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 158.512068147971 & 12.6020851186143 \tabularnewline
0.02 & 167.838378090612 & 7.96164028665921 \tabularnewline
0.03 & 174.703659398475 & 8.81580189067214 \tabularnewline
0.04 & 180.420080314654 & 9.5803148687606 \tabularnewline
0.05 & 185.616801304033 & 9.18311193180194 \tabularnewline
0.06 & 190.340371641253 & 9.15869823731666 \tabularnewline
0.07 & 194.814967590258 & 10.1851888722399 \tabularnewline
0.08 & 199.343012276412 & 11.559894320376 \tabularnewline
0.09 & 204.036953783778 & 12.5021032531262 \tabularnewline
0.1 & 208.786977029484 & 12.7199569375957 \tabularnewline
0.11 & 213.387867117758 & 12.3005189058446 \tabularnewline
0.12 & 217.661018265019 & 11.4730073312247 \tabularnewline
0.13 & 221.506379662299 & 10.4565747911851 \tabularnewline
0.14 & 224.900002318951 & 9.41764785543219 \tabularnewline
0.15 & 227.870602676262 & 8.47172362737966 \tabularnewline
0.16 & 230.475290299485 & 7.68273385730424 \tabularnewline
0.17 & 232.781156665252 & 7.06573693674897 \tabularnewline
0.18 & 234.85384371673 & 6.60592821139976 \tabularnewline
0.19 & 236.752502919902 & 6.28771232618813 \tabularnewline
0.2 & 238.52919217641 & 6.10776221555378 \tabularnewline
0.21 & 240.229833084337 & 6.0678165646458 \tabularnewline
0.22 & 241.894410395021 & 6.15710394723045 \tabularnewline
0.23 & 243.555844774029 & 6.34574913739223 \tabularnewline
0.24 & 245.238527402959 & 6.59400831718878 \tabularnewline
0.25 & 246.957836850136 & 6.86707426147701 \tabularnewline
0.26 & 248.721167495509 & 7.14202453370133 \tabularnewline
0.27 & 250.529963315287 & 7.40737616693543 \tabularnewline
0.28 & 252.381772481122 & 7.65623186804065 \tabularnewline
0.29 & 254.271603224148 & 7.88113979963134 \tabularnewline
0.3 & 256.19250239169 & 8.07195764273301 \tabularnewline
0.31 & 258.135788980168 & 8.21799996292372 \tabularnewline
0.32 & 260.09147810584 & 8.3130553310945 \tabularnewline
0.33 & 262.049175567893 & 8.35656693927574 \tabularnewline
0.34 & 263.9993504324 & 8.35593877003044 \tabularnewline
0.35 & 265.934636417681 & 8.32533313186734 \tabularnewline
0.36 & 267.850774856544 & 8.28073216419961 \tabularnewline
0.37 & 269.746955395639 & 8.23964652785543 \tabularnewline
0.38 & 271.625522700459 & 8.21427186510427 \tabularnewline
0.39 & 273.491187307981 & 8.21316486022336 \tabularnewline
0.4 & 275.349947827875 & 8.23822389652178 \tabularnewline
0.41 & 277.207906652959 & 8.28756464026802 \tabularnewline
0.42 & 279.070095246382 & 8.35391118395219 \tabularnewline
0.43 & 280.939380389705 & 8.42570062196453 \tabularnewline
0.44 & 282.815534540583 & 8.48674594580586 \tabularnewline
0.45 & 284.6946099558 & 8.51847883503554 \tabularnewline
0.46 & 286.568806486397 & 8.50138055824455 \tabularnewline
0.47 & 288.427006415834 & 8.42045691296062 \tabularnewline
0.48 & 290.256032467223 & 8.26747446581031 \tabularnewline
0.49 & 292.042483958486 & 8.0455872045466 \tabularnewline
0.5 & 293.774789024101 & 7.76804747580354 \tabularnewline
0.51 & 295.444972887852 & 7.45742114026073 \tabularnewline
0.52 & 297.04966526852 & 7.14029125941161 \tabularnewline
0.53 & 298.59008147081 & 6.84105654329907 \tabularnewline
0.54 & 300.071059330244 & 6.57564720820264 \tabularnewline
0.55 & 301.49959300744 & 6.34974503702125 \tabularnewline
0.56 & 302.883520970933 & 6.15999338444562 \tabularnewline
0.57 & 304.230985496103 & 5.99977603558296 \tabularnewline
0.58 & 305.550973671765 & 5.87041761503161 \tabularnewline
0.59 & 306.854789139671 & 5.78387430909114 \tabularnewline
0.6 & 308.157888492976 & 5.76644299701312 \tabularnewline
0.61 & 309.481339487053 & 5.85080676293352 \tabularnewline
0.62 & 310.852307847195 & 6.07012063371213 \tabularnewline
0.63 & 312.303384379629 & 6.4441364249591 \tabularnewline
0.64 & 313.871020943949 & 6.97989494545311 \tabularnewline
0.65 & 315.593617328281 & 7.67264512919262 \tabularnewline
0.66 & 317.509748775461 & 8.51191520560588 \tabularnewline
0.67 & 319.656679420927 & 9.4856686555857 \tabularnewline
0.68 & 322.068873990115 & 10.5782598590309 \tabularnewline
0.69 & 324.77597625848 & 11.7658456215136 \tabularnewline
0.7 & 327.799876717323 & 13.0096793300076 \tabularnewline
0.71 & 331.151062285961 & 14.2521336833681 \tabularnewline
0.72 & 334.825213696442 & 15.4201811061908 \tabularnewline
0.73 & 338.801605088108 & 16.4367238114775 \tabularnewline
0.74 & 343.044857519801 & 17.239289624771 \tabularnewline
0.75 & 347.510769443735 & 17.7985680175914 \tabularnewline
0.76 & 352.155402793256 & 18.1327890247507 \tabularnewline
0.77 & 356.944859909564 & 18.3070411603912 \tabularnewline
0.78 & 361.862051766415 & 18.4135566238207 \tabularnewline
0.79 & 366.907025090645 & 18.535864657491 \tabularnewline
0.8 & 372.089454157932 & 18.7095547536863 \tabularnewline
0.81 & 377.415320006508 & 18.8968903566366 \tabularnewline
0.82 & 382.873371045577 & 19.0000776696519 \tabularnewline
0.83 & 388.428928998399 & 18.902307411156 \tabularnewline
0.84 & 394.03131666033 & 18.5355235518933 \tabularnewline
0.85 & 399.635895730374 & 17.9360005163984 \tabularnewline
0.86 & 405.233430819774 & 17.2630181204329 \tabularnewline
0.87 & 410.871698053056 & 16.7596827253327 \tabularnewline
0.88 & 416.652717435968 & 16.630266438439 \tabularnewline
0.89 & 422.69954765581 & 16.8900244771499 \tabularnewline
0.9 & 429.109937779281 & 17.3104170434814 \tabularnewline
0.91 & 435.941195179815 & 17.5837924126108 \tabularnewline
0.92 & 443.28665746165 & 17.6516197733301 \tabularnewline
0.93 & 451.499024592352 & 18.0636771070022 \tabularnewline
0.94 & 461.564007937739 & 20.2873645820504 \tabularnewline
0.95 & 475.421169737563 & 26.4899784176652 \tabularnewline
0.96 & 495.571622260329 & 37.0523220872005 \tabularnewline
0.97 & 523.14884780864 & 46.4106629176918 \tabularnewline
0.98 & 555.182204897961 & 44.157888404382 \tabularnewline
0.99 & 584.052591977374 & 28.9281634873382 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123476&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]158.512068147971[/C][C]12.6020851186143[/C][/ROW]
[ROW][C]0.02[/C][C]167.838378090612[/C][C]7.96164028665921[/C][/ROW]
[ROW][C]0.03[/C][C]174.703659398475[/C][C]8.81580189067214[/C][/ROW]
[ROW][C]0.04[/C][C]180.420080314654[/C][C]9.5803148687606[/C][/ROW]
[ROW][C]0.05[/C][C]185.616801304033[/C][C]9.18311193180194[/C][/ROW]
[ROW][C]0.06[/C][C]190.340371641253[/C][C]9.15869823731666[/C][/ROW]
[ROW][C]0.07[/C][C]194.814967590258[/C][C]10.1851888722399[/C][/ROW]
[ROW][C]0.08[/C][C]199.343012276412[/C][C]11.559894320376[/C][/ROW]
[ROW][C]0.09[/C][C]204.036953783778[/C][C]12.5021032531262[/C][/ROW]
[ROW][C]0.1[/C][C]208.786977029484[/C][C]12.7199569375957[/C][/ROW]
[ROW][C]0.11[/C][C]213.387867117758[/C][C]12.3005189058446[/C][/ROW]
[ROW][C]0.12[/C][C]217.661018265019[/C][C]11.4730073312247[/C][/ROW]
[ROW][C]0.13[/C][C]221.506379662299[/C][C]10.4565747911851[/C][/ROW]
[ROW][C]0.14[/C][C]224.900002318951[/C][C]9.41764785543219[/C][/ROW]
[ROW][C]0.15[/C][C]227.870602676262[/C][C]8.47172362737966[/C][/ROW]
[ROW][C]0.16[/C][C]230.475290299485[/C][C]7.68273385730424[/C][/ROW]
[ROW][C]0.17[/C][C]232.781156665252[/C][C]7.06573693674897[/C][/ROW]
[ROW][C]0.18[/C][C]234.85384371673[/C][C]6.60592821139976[/C][/ROW]
[ROW][C]0.19[/C][C]236.752502919902[/C][C]6.28771232618813[/C][/ROW]
[ROW][C]0.2[/C][C]238.52919217641[/C][C]6.10776221555378[/C][/ROW]
[ROW][C]0.21[/C][C]240.229833084337[/C][C]6.0678165646458[/C][/ROW]
[ROW][C]0.22[/C][C]241.894410395021[/C][C]6.15710394723045[/C][/ROW]
[ROW][C]0.23[/C][C]243.555844774029[/C][C]6.34574913739223[/C][/ROW]
[ROW][C]0.24[/C][C]245.238527402959[/C][C]6.59400831718878[/C][/ROW]
[ROW][C]0.25[/C][C]246.957836850136[/C][C]6.86707426147701[/C][/ROW]
[ROW][C]0.26[/C][C]248.721167495509[/C][C]7.14202453370133[/C][/ROW]
[ROW][C]0.27[/C][C]250.529963315287[/C][C]7.40737616693543[/C][/ROW]
[ROW][C]0.28[/C][C]252.381772481122[/C][C]7.65623186804065[/C][/ROW]
[ROW][C]0.29[/C][C]254.271603224148[/C][C]7.88113979963134[/C][/ROW]
[ROW][C]0.3[/C][C]256.19250239169[/C][C]8.07195764273301[/C][/ROW]
[ROW][C]0.31[/C][C]258.135788980168[/C][C]8.21799996292372[/C][/ROW]
[ROW][C]0.32[/C][C]260.09147810584[/C][C]8.3130553310945[/C][/ROW]
[ROW][C]0.33[/C][C]262.049175567893[/C][C]8.35656693927574[/C][/ROW]
[ROW][C]0.34[/C][C]263.9993504324[/C][C]8.35593877003044[/C][/ROW]
[ROW][C]0.35[/C][C]265.934636417681[/C][C]8.32533313186734[/C][/ROW]
[ROW][C]0.36[/C][C]267.850774856544[/C][C]8.28073216419961[/C][/ROW]
[ROW][C]0.37[/C][C]269.746955395639[/C][C]8.23964652785543[/C][/ROW]
[ROW][C]0.38[/C][C]271.625522700459[/C][C]8.21427186510427[/C][/ROW]
[ROW][C]0.39[/C][C]273.491187307981[/C][C]8.21316486022336[/C][/ROW]
[ROW][C]0.4[/C][C]275.349947827875[/C][C]8.23822389652178[/C][/ROW]
[ROW][C]0.41[/C][C]277.207906652959[/C][C]8.28756464026802[/C][/ROW]
[ROW][C]0.42[/C][C]279.070095246382[/C][C]8.35391118395219[/C][/ROW]
[ROW][C]0.43[/C][C]280.939380389705[/C][C]8.42570062196453[/C][/ROW]
[ROW][C]0.44[/C][C]282.815534540583[/C][C]8.48674594580586[/C][/ROW]
[ROW][C]0.45[/C][C]284.6946099558[/C][C]8.51847883503554[/C][/ROW]
[ROW][C]0.46[/C][C]286.568806486397[/C][C]8.50138055824455[/C][/ROW]
[ROW][C]0.47[/C][C]288.427006415834[/C][C]8.42045691296062[/C][/ROW]
[ROW][C]0.48[/C][C]290.256032467223[/C][C]8.26747446581031[/C][/ROW]
[ROW][C]0.49[/C][C]292.042483958486[/C][C]8.0455872045466[/C][/ROW]
[ROW][C]0.5[/C][C]293.774789024101[/C][C]7.76804747580354[/C][/ROW]
[ROW][C]0.51[/C][C]295.444972887852[/C][C]7.45742114026073[/C][/ROW]
[ROW][C]0.52[/C][C]297.04966526852[/C][C]7.14029125941161[/C][/ROW]
[ROW][C]0.53[/C][C]298.59008147081[/C][C]6.84105654329907[/C][/ROW]
[ROW][C]0.54[/C][C]300.071059330244[/C][C]6.57564720820264[/C][/ROW]
[ROW][C]0.55[/C][C]301.49959300744[/C][C]6.34974503702125[/C][/ROW]
[ROW][C]0.56[/C][C]302.883520970933[/C][C]6.15999338444562[/C][/ROW]
[ROW][C]0.57[/C][C]304.230985496103[/C][C]5.99977603558296[/C][/ROW]
[ROW][C]0.58[/C][C]305.550973671765[/C][C]5.87041761503161[/C][/ROW]
[ROW][C]0.59[/C][C]306.854789139671[/C][C]5.78387430909114[/C][/ROW]
[ROW][C]0.6[/C][C]308.157888492976[/C][C]5.76644299701312[/C][/ROW]
[ROW][C]0.61[/C][C]309.481339487053[/C][C]5.85080676293352[/C][/ROW]
[ROW][C]0.62[/C][C]310.852307847195[/C][C]6.07012063371213[/C][/ROW]
[ROW][C]0.63[/C][C]312.303384379629[/C][C]6.4441364249591[/C][/ROW]
[ROW][C]0.64[/C][C]313.871020943949[/C][C]6.97989494545311[/C][/ROW]
[ROW][C]0.65[/C][C]315.593617328281[/C][C]7.67264512919262[/C][/ROW]
[ROW][C]0.66[/C][C]317.509748775461[/C][C]8.51191520560588[/C][/ROW]
[ROW][C]0.67[/C][C]319.656679420927[/C][C]9.4856686555857[/C][/ROW]
[ROW][C]0.68[/C][C]322.068873990115[/C][C]10.5782598590309[/C][/ROW]
[ROW][C]0.69[/C][C]324.77597625848[/C][C]11.7658456215136[/C][/ROW]
[ROW][C]0.7[/C][C]327.799876717323[/C][C]13.0096793300076[/C][/ROW]
[ROW][C]0.71[/C][C]331.151062285961[/C][C]14.2521336833681[/C][/ROW]
[ROW][C]0.72[/C][C]334.825213696442[/C][C]15.4201811061908[/C][/ROW]
[ROW][C]0.73[/C][C]338.801605088108[/C][C]16.4367238114775[/C][/ROW]
[ROW][C]0.74[/C][C]343.044857519801[/C][C]17.239289624771[/C][/ROW]
[ROW][C]0.75[/C][C]347.510769443735[/C][C]17.7985680175914[/C][/ROW]
[ROW][C]0.76[/C][C]352.155402793256[/C][C]18.1327890247507[/C][/ROW]
[ROW][C]0.77[/C][C]356.944859909564[/C][C]18.3070411603912[/C][/ROW]
[ROW][C]0.78[/C][C]361.862051766415[/C][C]18.4135566238207[/C][/ROW]
[ROW][C]0.79[/C][C]366.907025090645[/C][C]18.535864657491[/C][/ROW]
[ROW][C]0.8[/C][C]372.089454157932[/C][C]18.7095547536863[/C][/ROW]
[ROW][C]0.81[/C][C]377.415320006508[/C][C]18.8968903566366[/C][/ROW]
[ROW][C]0.82[/C][C]382.873371045577[/C][C]19.0000776696519[/C][/ROW]
[ROW][C]0.83[/C][C]388.428928998399[/C][C]18.902307411156[/C][/ROW]
[ROW][C]0.84[/C][C]394.03131666033[/C][C]18.5355235518933[/C][/ROW]
[ROW][C]0.85[/C][C]399.635895730374[/C][C]17.9360005163984[/C][/ROW]
[ROW][C]0.86[/C][C]405.233430819774[/C][C]17.2630181204329[/C][/ROW]
[ROW][C]0.87[/C][C]410.871698053056[/C][C]16.7596827253327[/C][/ROW]
[ROW][C]0.88[/C][C]416.652717435968[/C][C]16.630266438439[/C][/ROW]
[ROW][C]0.89[/C][C]422.69954765581[/C][C]16.8900244771499[/C][/ROW]
[ROW][C]0.9[/C][C]429.109937779281[/C][C]17.3104170434814[/C][/ROW]
[ROW][C]0.91[/C][C]435.941195179815[/C][C]17.5837924126108[/C][/ROW]
[ROW][C]0.92[/C][C]443.28665746165[/C][C]17.6516197733301[/C][/ROW]
[ROW][C]0.93[/C][C]451.499024592352[/C][C]18.0636771070022[/C][/ROW]
[ROW][C]0.94[/C][C]461.564007937739[/C][C]20.2873645820504[/C][/ROW]
[ROW][C]0.95[/C][C]475.421169737563[/C][C]26.4899784176652[/C][/ROW]
[ROW][C]0.96[/C][C]495.571622260329[/C][C]37.0523220872005[/C][/ROW]
[ROW][C]0.97[/C][C]523.14884780864[/C][C]46.4106629176918[/C][/ROW]
[ROW][C]0.98[/C][C]555.182204897961[/C][C]44.157888404382[/C][/ROW]
[ROW][C]0.99[/C][C]584.052591977374[/C][C]28.9281634873382[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123476&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123476&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
0.01158.51206814797112.6020851186143
0.02167.8383780906127.96164028665921
0.03174.7036593984758.81580189067214
0.04180.4200803146549.5803148687606
0.05185.6168013040339.18311193180194
0.06190.3403716412539.15869823731666
0.07194.81496759025810.1851888722399
0.08199.34301227641211.559894320376
0.09204.03695378377812.5021032531262
0.1208.78697702948412.7199569375957
0.11213.38786711775812.3005189058446
0.12217.66101826501911.4730073312247
0.13221.50637966229910.4565747911851
0.14224.9000023189519.41764785543219
0.15227.8706026762628.47172362737966
0.16230.4752902994857.68273385730424
0.17232.7811566652527.06573693674897
0.18234.853843716736.60592821139976
0.19236.7525029199026.28771232618813
0.2238.529192176416.10776221555378
0.21240.2298330843376.0678165646458
0.22241.8944103950216.15710394723045
0.23243.5558447740296.34574913739223
0.24245.2385274029596.59400831718878
0.25246.9578368501366.86707426147701
0.26248.7211674955097.14202453370133
0.27250.5299633152877.40737616693543
0.28252.3817724811227.65623186804065
0.29254.2716032241487.88113979963134
0.3256.192502391698.07195764273301
0.31258.1357889801688.21799996292372
0.32260.091478105848.3130553310945
0.33262.0491755678938.35656693927574
0.34263.99935043248.35593877003044
0.35265.9346364176818.32533313186734
0.36267.8507748565448.28073216419961
0.37269.7469553956398.23964652785543
0.38271.6255227004598.21427186510427
0.39273.4911873079818.21316486022336
0.4275.3499478278758.23822389652178
0.41277.2079066529598.28756464026802
0.42279.0700952463828.35391118395219
0.43280.9393803897058.42570062196453
0.44282.8155345405838.48674594580586
0.45284.69460995588.51847883503554
0.46286.5688064863978.50138055824455
0.47288.4270064158348.42045691296062
0.48290.2560324672238.26747446581031
0.49292.0424839584868.0455872045466
0.5293.7747890241017.76804747580354
0.51295.4449728878527.45742114026073
0.52297.049665268527.14029125941161
0.53298.590081470816.84105654329907
0.54300.0710593302446.57564720820264
0.55301.499593007446.34974503702125
0.56302.8835209709336.15999338444562
0.57304.2309854961035.99977603558296
0.58305.5509736717655.87041761503161
0.59306.8547891396715.78387430909114
0.6308.1578884929765.76644299701312
0.61309.4813394870535.85080676293352
0.62310.8523078471956.07012063371213
0.63312.3033843796296.4441364249591
0.64313.8710209439496.97989494545311
0.65315.5936173282817.67264512919262
0.66317.5097487754618.51191520560588
0.67319.6566794209279.4856686555857
0.68322.06887399011510.5782598590309
0.69324.7759762584811.7658456215136
0.7327.79987671732313.0096793300076
0.71331.15106228596114.2521336833681
0.72334.82521369644215.4201811061908
0.73338.80160508810816.4367238114775
0.74343.04485751980117.239289624771
0.75347.51076944373517.7985680175914
0.76352.15540279325618.1327890247507
0.77356.94485990956418.3070411603912
0.78361.86205176641518.4135566238207
0.79366.90702509064518.535864657491
0.8372.08945415793218.7095547536863
0.81377.41532000650818.8968903566366
0.82382.87337104557719.0000776696519
0.83388.42892899839918.902307411156
0.84394.0313166603318.5355235518933
0.85399.63589573037417.9360005163984
0.86405.23343081977417.2630181204329
0.87410.87169805305616.7596827253327
0.88416.65271743596816.630266438439
0.89422.6995476558116.8900244771499
0.9429.10993777928117.3104170434814
0.91435.94119517981517.5837924126108
0.92443.2866574616517.6516197733301
0.93451.49902459235218.0636771070022
0.94461.56400793773920.2873645820504
0.95475.42116973756326.4899784176652
0.96495.57162226032937.0523220872005
0.97523.1488478086446.4106629176918
0.98555.18220489796144.157888404382
0.99584.05259197737428.9281634873382


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')