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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 07 Dec 2015 15:00:02 +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/2015/Dec/07/t1449500430b8qn6q8qpebfcm2.htm/, Retrieved Sat, 18 May 2024 16:04:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285408, Retrieved Sat, 18 May 2024 16:04:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80

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] [Harrel-Davis Quan...] [2015-12-07 15:00:02] [9d441e5437781f0cd4d5053adc3d2c6c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
287224
279998
283495
285775
282329
277799
271980
266730
262433
285378
286692
282917
277686
274371
277466
290604
290770
283654
278601
274405
272817
294292
300562
298982
296917
295008
297295
305671
303853
300708
298194
292254
290646
314707
317009
317706
313312
311048
315917
326174
322116
317092
310468
302438
298493
320124
321873
321676
316696
312612
313307
320883
318749
315126
304600
295245
293619
309700
310597
307416
301126

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285408&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285408&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285408&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01263646.6914849524227.23150673037
0.02265533.9282738174195.2167763387
0.03267591.3739023063976.88016679591
0.04269477.7016132323547.92275387717
0.05271062.3746645873056.23044069358
0.06272350.3496174692660.53486828
0.07273403.4567468632424.72540874633
0.08274292.1794129272321.68982278015
0.09275074.1937089692293.3754771767
0.1275789.345793572296.70538058575
0.11276462.5710428272314.43327811335
0.12277109.0781326062346.39581506017
0.13277738.7076891452397.24496476077
0.14278358.4344805082466.9020366388
0.15278973.2709313582548.66551059271
0.16279586.3413606632630.38384163114
0.17280198.8492700552701.24582401129
0.18280810.343999842754.26307787856
0.19281419.3480075962788.11394174757
0.2282024.1724255872807.94773158291
0.21282623.668780522821.90948099549
0.22283217.711268192839.18646270232
0.23283807.3166141392867.48017771348
0.24284394.4271377242911.32198491504
0.25284981.4666531282970.0109497623
0.26285570.8129172783040.33372604133
0.27286164.3194395053116.69057169227
0.28286762.9796449033191.67299120043
0.29287366.7759202693258.89288901152
0.3287974.7096921293312.67870419916
0.31288584.9751883473349.49062359305
0.32289195.2219830183367.60873615823
0.33289802.8486449913367.09526952157
0.34290405.2781722813349.74597147665
0.35291000.1808271323318.06745843786
0.36291585.6270659223275.15979399353
0.37292160.1688973813224.81375751853
0.38292722.8598195973169.13124388202
0.39293273.2304033373111.51953896867
0.4293811.2386987113052.98028830009
0.41294337.2128886752996.33732211982
0.42294851.7993790852942.65609640842
0.43295355.9242190282893.40303541496
0.44295850.7705425572850.0193095805
0.45296337.7703626012814.2702805079
0.46296818.6058742422787.10968605268
0.47297295.2134769442770.43947002678
0.48297769.7828708752766.13923397704
0.49298244.743632922775.55333491742
0.5298722.7324655872800.6604075995
0.51299206.535723142841.813723874
0.52299699.0037982052899.79866640148
0.53300202.9364839912973.48207669211
0.54300720.9415061483061.83587533136
0.55301255.2719971123162.29583862815
0.56301807.6526128323270.88357029024
0.57302379.1079429323382.42869209686
0.58302969.8102999333491.82925683648
0.59303578.9661449193592.33306602967
0.6304204.7604606143677.6498151262
0.61304844.3755458233741.98209647092
0.62305494.0945480863779.46770419449
0.63306149.490753413786.37373661967
0.64306805.6921749093760.6600423406
0.65307457.6990593563703.059126954
0.66308100.7218120773615.02630961168
0.67308730.5008138973501.55323013262
0.68309343.5694008233368.37422067025
0.69309937.427545223222.43899028657
0.7310510.6058089893070.75025484502
0.71311062.6149843222919.9200911991
0.72311593.7937880552774.39810991009
0.73312105.0822635082637.86426685132
0.74312597.759982672511.09815571863
0.75313073.1944505482394.12435965441
0.76313532.6457878212284.82072630253
0.77313977.1685903532180.92131652894
0.78314407.6403680632080.2522397573
0.79314824.9272848081981.69549236453
0.8315230.1713768391885.29325433058
0.81315625.1499023191794.40867021408
0.82316012.6211491711713.16561751338
0.83316396.5405902241648.25116581856
0.84316782.0194652551606.6461753999
0.85317174.9185134551592.6787018854
0.86317581.0322175041606.27090728404
0.87318004.922842811639.48731131769
0.88318448.5949903271678.21205120701
0.89318910.3388229821702.95097700264
0.9319384.201485691694.38094202828
0.91319860.6933941551636.69845599732
0.92320329.5574872561523.18165823019
0.93320785.7145213641361.38987078354
0.94321239.3916113821180.25129207494
0.95321729.3388908321048.57127270491
0.96322330.9224801451107.58040390637
0.97323137.4884796531519.77412388312
0.98324185.2254640972299.63864926081
0.99325326.5253782883254.37356282768

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 263646.691484952 & 4227.23150673037 \tabularnewline
0.02 & 265533.928273817 & 4195.2167763387 \tabularnewline
0.03 & 267591.373902306 & 3976.88016679591 \tabularnewline
0.04 & 269477.701613232 & 3547.92275387717 \tabularnewline
0.05 & 271062.374664587 & 3056.23044069358 \tabularnewline
0.06 & 272350.349617469 & 2660.53486828 \tabularnewline
0.07 & 273403.456746863 & 2424.72540874633 \tabularnewline
0.08 & 274292.179412927 & 2321.68982278015 \tabularnewline
0.09 & 275074.193708969 & 2293.3754771767 \tabularnewline
0.1 & 275789.34579357 & 2296.70538058575 \tabularnewline
0.11 & 276462.571042827 & 2314.43327811335 \tabularnewline
0.12 & 277109.078132606 & 2346.39581506017 \tabularnewline
0.13 & 277738.707689145 & 2397.24496476077 \tabularnewline
0.14 & 278358.434480508 & 2466.9020366388 \tabularnewline
0.15 & 278973.270931358 & 2548.66551059271 \tabularnewline
0.16 & 279586.341360663 & 2630.38384163114 \tabularnewline
0.17 & 280198.849270055 & 2701.24582401129 \tabularnewline
0.18 & 280810.34399984 & 2754.26307787856 \tabularnewline
0.19 & 281419.348007596 & 2788.11394174757 \tabularnewline
0.2 & 282024.172425587 & 2807.94773158291 \tabularnewline
0.21 & 282623.66878052 & 2821.90948099549 \tabularnewline
0.22 & 283217.71126819 & 2839.18646270232 \tabularnewline
0.23 & 283807.316614139 & 2867.48017771348 \tabularnewline
0.24 & 284394.427137724 & 2911.32198491504 \tabularnewline
0.25 & 284981.466653128 & 2970.0109497623 \tabularnewline
0.26 & 285570.812917278 & 3040.33372604133 \tabularnewline
0.27 & 286164.319439505 & 3116.69057169227 \tabularnewline
0.28 & 286762.979644903 & 3191.67299120043 \tabularnewline
0.29 & 287366.775920269 & 3258.89288901152 \tabularnewline
0.3 & 287974.709692129 & 3312.67870419916 \tabularnewline
0.31 & 288584.975188347 & 3349.49062359305 \tabularnewline
0.32 & 289195.221983018 & 3367.60873615823 \tabularnewline
0.33 & 289802.848644991 & 3367.09526952157 \tabularnewline
0.34 & 290405.278172281 & 3349.74597147665 \tabularnewline
0.35 & 291000.180827132 & 3318.06745843786 \tabularnewline
0.36 & 291585.627065922 & 3275.15979399353 \tabularnewline
0.37 & 292160.168897381 & 3224.81375751853 \tabularnewline
0.38 & 292722.859819597 & 3169.13124388202 \tabularnewline
0.39 & 293273.230403337 & 3111.51953896867 \tabularnewline
0.4 & 293811.238698711 & 3052.98028830009 \tabularnewline
0.41 & 294337.212888675 & 2996.33732211982 \tabularnewline
0.42 & 294851.799379085 & 2942.65609640842 \tabularnewline
0.43 & 295355.924219028 & 2893.40303541496 \tabularnewline
0.44 & 295850.770542557 & 2850.0193095805 \tabularnewline
0.45 & 296337.770362601 & 2814.2702805079 \tabularnewline
0.46 & 296818.605874242 & 2787.10968605268 \tabularnewline
0.47 & 297295.213476944 & 2770.43947002678 \tabularnewline
0.48 & 297769.782870875 & 2766.13923397704 \tabularnewline
0.49 & 298244.74363292 & 2775.55333491742 \tabularnewline
0.5 & 298722.732465587 & 2800.6604075995 \tabularnewline
0.51 & 299206.53572314 & 2841.813723874 \tabularnewline
0.52 & 299699.003798205 & 2899.79866640148 \tabularnewline
0.53 & 300202.936483991 & 2973.48207669211 \tabularnewline
0.54 & 300720.941506148 & 3061.83587533136 \tabularnewline
0.55 & 301255.271997112 & 3162.29583862815 \tabularnewline
0.56 & 301807.652612832 & 3270.88357029024 \tabularnewline
0.57 & 302379.107942932 & 3382.42869209686 \tabularnewline
0.58 & 302969.810299933 & 3491.82925683648 \tabularnewline
0.59 & 303578.966144919 & 3592.33306602967 \tabularnewline
0.6 & 304204.760460614 & 3677.6498151262 \tabularnewline
0.61 & 304844.375545823 & 3741.98209647092 \tabularnewline
0.62 & 305494.094548086 & 3779.46770419449 \tabularnewline
0.63 & 306149.49075341 & 3786.37373661967 \tabularnewline
0.64 & 306805.692174909 & 3760.6600423406 \tabularnewline
0.65 & 307457.699059356 & 3703.059126954 \tabularnewline
0.66 & 308100.721812077 & 3615.02630961168 \tabularnewline
0.67 & 308730.500813897 & 3501.55323013262 \tabularnewline
0.68 & 309343.569400823 & 3368.37422067025 \tabularnewline
0.69 & 309937.42754522 & 3222.43899028657 \tabularnewline
0.7 & 310510.605808989 & 3070.75025484502 \tabularnewline
0.71 & 311062.614984322 & 2919.9200911991 \tabularnewline
0.72 & 311593.793788055 & 2774.39810991009 \tabularnewline
0.73 & 312105.082263508 & 2637.86426685132 \tabularnewline
0.74 & 312597.75998267 & 2511.09815571863 \tabularnewline
0.75 & 313073.194450548 & 2394.12435965441 \tabularnewline
0.76 & 313532.645787821 & 2284.82072630253 \tabularnewline
0.77 & 313977.168590353 & 2180.92131652894 \tabularnewline
0.78 & 314407.640368063 & 2080.2522397573 \tabularnewline
0.79 & 314824.927284808 & 1981.69549236453 \tabularnewline
0.8 & 315230.171376839 & 1885.29325433058 \tabularnewline
0.81 & 315625.149902319 & 1794.40867021408 \tabularnewline
0.82 & 316012.621149171 & 1713.16561751338 \tabularnewline
0.83 & 316396.540590224 & 1648.25116581856 \tabularnewline
0.84 & 316782.019465255 & 1606.6461753999 \tabularnewline
0.85 & 317174.918513455 & 1592.6787018854 \tabularnewline
0.86 & 317581.032217504 & 1606.27090728404 \tabularnewline
0.87 & 318004.92284281 & 1639.48731131769 \tabularnewline
0.88 & 318448.594990327 & 1678.21205120701 \tabularnewline
0.89 & 318910.338822982 & 1702.95097700264 \tabularnewline
0.9 & 319384.20148569 & 1694.38094202828 \tabularnewline
0.91 & 319860.693394155 & 1636.69845599732 \tabularnewline
0.92 & 320329.557487256 & 1523.18165823019 \tabularnewline
0.93 & 320785.714521364 & 1361.38987078354 \tabularnewline
0.94 & 321239.391611382 & 1180.25129207494 \tabularnewline
0.95 & 321729.338890832 & 1048.57127270491 \tabularnewline
0.96 & 322330.922480145 & 1107.58040390637 \tabularnewline
0.97 & 323137.488479653 & 1519.77412388312 \tabularnewline
0.98 & 324185.225464097 & 2299.63864926081 \tabularnewline
0.99 & 325326.525378288 & 3254.37356282768 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285408&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]263646.691484952[/C][C]4227.23150673037[/C][/ROW]
[ROW][C]0.02[/C][C]265533.928273817[/C][C]4195.2167763387[/C][/ROW]
[ROW][C]0.03[/C][C]267591.373902306[/C][C]3976.88016679591[/C][/ROW]
[ROW][C]0.04[/C][C]269477.701613232[/C][C]3547.92275387717[/C][/ROW]
[ROW][C]0.05[/C][C]271062.374664587[/C][C]3056.23044069358[/C][/ROW]
[ROW][C]0.06[/C][C]272350.349617469[/C][C]2660.53486828[/C][/ROW]
[ROW][C]0.07[/C][C]273403.456746863[/C][C]2424.72540874633[/C][/ROW]
[ROW][C]0.08[/C][C]274292.179412927[/C][C]2321.68982278015[/C][/ROW]
[ROW][C]0.09[/C][C]275074.193708969[/C][C]2293.3754771767[/C][/ROW]
[ROW][C]0.1[/C][C]275789.34579357[/C][C]2296.70538058575[/C][/ROW]
[ROW][C]0.11[/C][C]276462.571042827[/C][C]2314.43327811335[/C][/ROW]
[ROW][C]0.12[/C][C]277109.078132606[/C][C]2346.39581506017[/C][/ROW]
[ROW][C]0.13[/C][C]277738.707689145[/C][C]2397.24496476077[/C][/ROW]
[ROW][C]0.14[/C][C]278358.434480508[/C][C]2466.9020366388[/C][/ROW]
[ROW][C]0.15[/C][C]278973.270931358[/C][C]2548.66551059271[/C][/ROW]
[ROW][C]0.16[/C][C]279586.341360663[/C][C]2630.38384163114[/C][/ROW]
[ROW][C]0.17[/C][C]280198.849270055[/C][C]2701.24582401129[/C][/ROW]
[ROW][C]0.18[/C][C]280810.34399984[/C][C]2754.26307787856[/C][/ROW]
[ROW][C]0.19[/C][C]281419.348007596[/C][C]2788.11394174757[/C][/ROW]
[ROW][C]0.2[/C][C]282024.172425587[/C][C]2807.94773158291[/C][/ROW]
[ROW][C]0.21[/C][C]282623.66878052[/C][C]2821.90948099549[/C][/ROW]
[ROW][C]0.22[/C][C]283217.71126819[/C][C]2839.18646270232[/C][/ROW]
[ROW][C]0.23[/C][C]283807.316614139[/C][C]2867.48017771348[/C][/ROW]
[ROW][C]0.24[/C][C]284394.427137724[/C][C]2911.32198491504[/C][/ROW]
[ROW][C]0.25[/C][C]284981.466653128[/C][C]2970.0109497623[/C][/ROW]
[ROW][C]0.26[/C][C]285570.812917278[/C][C]3040.33372604133[/C][/ROW]
[ROW][C]0.27[/C][C]286164.319439505[/C][C]3116.69057169227[/C][/ROW]
[ROW][C]0.28[/C][C]286762.979644903[/C][C]3191.67299120043[/C][/ROW]
[ROW][C]0.29[/C][C]287366.775920269[/C][C]3258.89288901152[/C][/ROW]
[ROW][C]0.3[/C][C]287974.709692129[/C][C]3312.67870419916[/C][/ROW]
[ROW][C]0.31[/C][C]288584.975188347[/C][C]3349.49062359305[/C][/ROW]
[ROW][C]0.32[/C][C]289195.221983018[/C][C]3367.60873615823[/C][/ROW]
[ROW][C]0.33[/C][C]289802.848644991[/C][C]3367.09526952157[/C][/ROW]
[ROW][C]0.34[/C][C]290405.278172281[/C][C]3349.74597147665[/C][/ROW]
[ROW][C]0.35[/C][C]291000.180827132[/C][C]3318.06745843786[/C][/ROW]
[ROW][C]0.36[/C][C]291585.627065922[/C][C]3275.15979399353[/C][/ROW]
[ROW][C]0.37[/C][C]292160.168897381[/C][C]3224.81375751853[/C][/ROW]
[ROW][C]0.38[/C][C]292722.859819597[/C][C]3169.13124388202[/C][/ROW]
[ROW][C]0.39[/C][C]293273.230403337[/C][C]3111.51953896867[/C][/ROW]
[ROW][C]0.4[/C][C]293811.238698711[/C][C]3052.98028830009[/C][/ROW]
[ROW][C]0.41[/C][C]294337.212888675[/C][C]2996.33732211982[/C][/ROW]
[ROW][C]0.42[/C][C]294851.799379085[/C][C]2942.65609640842[/C][/ROW]
[ROW][C]0.43[/C][C]295355.924219028[/C][C]2893.40303541496[/C][/ROW]
[ROW][C]0.44[/C][C]295850.770542557[/C][C]2850.0193095805[/C][/ROW]
[ROW][C]0.45[/C][C]296337.770362601[/C][C]2814.2702805079[/C][/ROW]
[ROW][C]0.46[/C][C]296818.605874242[/C][C]2787.10968605268[/C][/ROW]
[ROW][C]0.47[/C][C]297295.213476944[/C][C]2770.43947002678[/C][/ROW]
[ROW][C]0.48[/C][C]297769.782870875[/C][C]2766.13923397704[/C][/ROW]
[ROW][C]0.49[/C][C]298244.74363292[/C][C]2775.55333491742[/C][/ROW]
[ROW][C]0.5[/C][C]298722.732465587[/C][C]2800.6604075995[/C][/ROW]
[ROW][C]0.51[/C][C]299206.53572314[/C][C]2841.813723874[/C][/ROW]
[ROW][C]0.52[/C][C]299699.003798205[/C][C]2899.79866640148[/C][/ROW]
[ROW][C]0.53[/C][C]300202.936483991[/C][C]2973.48207669211[/C][/ROW]
[ROW][C]0.54[/C][C]300720.941506148[/C][C]3061.83587533136[/C][/ROW]
[ROW][C]0.55[/C][C]301255.271997112[/C][C]3162.29583862815[/C][/ROW]
[ROW][C]0.56[/C][C]301807.652612832[/C][C]3270.88357029024[/C][/ROW]
[ROW][C]0.57[/C][C]302379.107942932[/C][C]3382.42869209686[/C][/ROW]
[ROW][C]0.58[/C][C]302969.810299933[/C][C]3491.82925683648[/C][/ROW]
[ROW][C]0.59[/C][C]303578.966144919[/C][C]3592.33306602967[/C][/ROW]
[ROW][C]0.6[/C][C]304204.760460614[/C][C]3677.6498151262[/C][/ROW]
[ROW][C]0.61[/C][C]304844.375545823[/C][C]3741.98209647092[/C][/ROW]
[ROW][C]0.62[/C][C]305494.094548086[/C][C]3779.46770419449[/C][/ROW]
[ROW][C]0.63[/C][C]306149.49075341[/C][C]3786.37373661967[/C][/ROW]
[ROW][C]0.64[/C][C]306805.692174909[/C][C]3760.6600423406[/C][/ROW]
[ROW][C]0.65[/C][C]307457.699059356[/C][C]3703.059126954[/C][/ROW]
[ROW][C]0.66[/C][C]308100.721812077[/C][C]3615.02630961168[/C][/ROW]
[ROW][C]0.67[/C][C]308730.500813897[/C][C]3501.55323013262[/C][/ROW]
[ROW][C]0.68[/C][C]309343.569400823[/C][C]3368.37422067025[/C][/ROW]
[ROW][C]0.69[/C][C]309937.42754522[/C][C]3222.43899028657[/C][/ROW]
[ROW][C]0.7[/C][C]310510.605808989[/C][C]3070.75025484502[/C][/ROW]
[ROW][C]0.71[/C][C]311062.614984322[/C][C]2919.9200911991[/C][/ROW]
[ROW][C]0.72[/C][C]311593.793788055[/C][C]2774.39810991009[/C][/ROW]
[ROW][C]0.73[/C][C]312105.082263508[/C][C]2637.86426685132[/C][/ROW]
[ROW][C]0.74[/C][C]312597.75998267[/C][C]2511.09815571863[/C][/ROW]
[ROW][C]0.75[/C][C]313073.194450548[/C][C]2394.12435965441[/C][/ROW]
[ROW][C]0.76[/C][C]313532.645787821[/C][C]2284.82072630253[/C][/ROW]
[ROW][C]0.77[/C][C]313977.168590353[/C][C]2180.92131652894[/C][/ROW]
[ROW][C]0.78[/C][C]314407.640368063[/C][C]2080.2522397573[/C][/ROW]
[ROW][C]0.79[/C][C]314824.927284808[/C][C]1981.69549236453[/C][/ROW]
[ROW][C]0.8[/C][C]315230.171376839[/C][C]1885.29325433058[/C][/ROW]
[ROW][C]0.81[/C][C]315625.149902319[/C][C]1794.40867021408[/C][/ROW]
[ROW][C]0.82[/C][C]316012.621149171[/C][C]1713.16561751338[/C][/ROW]
[ROW][C]0.83[/C][C]316396.540590224[/C][C]1648.25116581856[/C][/ROW]
[ROW][C]0.84[/C][C]316782.019465255[/C][C]1606.6461753999[/C][/ROW]
[ROW][C]0.85[/C][C]317174.918513455[/C][C]1592.6787018854[/C][/ROW]
[ROW][C]0.86[/C][C]317581.032217504[/C][C]1606.27090728404[/C][/ROW]
[ROW][C]0.87[/C][C]318004.92284281[/C][C]1639.48731131769[/C][/ROW]
[ROW][C]0.88[/C][C]318448.594990327[/C][C]1678.21205120701[/C][/ROW]
[ROW][C]0.89[/C][C]318910.338822982[/C][C]1702.95097700264[/C][/ROW]
[ROW][C]0.9[/C][C]319384.20148569[/C][C]1694.38094202828[/C][/ROW]
[ROW][C]0.91[/C][C]319860.693394155[/C][C]1636.69845599732[/C][/ROW]
[ROW][C]0.92[/C][C]320329.557487256[/C][C]1523.18165823019[/C][/ROW]
[ROW][C]0.93[/C][C]320785.714521364[/C][C]1361.38987078354[/C][/ROW]
[ROW][C]0.94[/C][C]321239.391611382[/C][C]1180.25129207494[/C][/ROW]
[ROW][C]0.95[/C][C]321729.338890832[/C][C]1048.57127270491[/C][/ROW]
[ROW][C]0.96[/C][C]322330.922480145[/C][C]1107.58040390637[/C][/ROW]
[ROW][C]0.97[/C][C]323137.488479653[/C][C]1519.77412388312[/C][/ROW]
[ROW][C]0.98[/C][C]324185.225464097[/C][C]2299.63864926081[/C][/ROW]
[ROW][C]0.99[/C][C]325326.525378288[/C][C]3254.37356282768[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285408&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285408&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
0.01263646.6914849524227.23150673037
0.02265533.9282738174195.2167763387
0.03267591.3739023063976.88016679591
0.04269477.7016132323547.92275387717
0.05271062.3746645873056.23044069358
0.06272350.3496174692660.53486828
0.07273403.4567468632424.72540874633
0.08274292.1794129272321.68982278015
0.09275074.1937089692293.3754771767
0.1275789.345793572296.70538058575
0.11276462.5710428272314.43327811335
0.12277109.0781326062346.39581506017
0.13277738.7076891452397.24496476077
0.14278358.4344805082466.9020366388
0.15278973.2709313582548.66551059271
0.16279586.3413606632630.38384163114
0.17280198.8492700552701.24582401129
0.18280810.343999842754.26307787856
0.19281419.3480075962788.11394174757
0.2282024.1724255872807.94773158291
0.21282623.668780522821.90948099549
0.22283217.711268192839.18646270232
0.23283807.3166141392867.48017771348
0.24284394.4271377242911.32198491504
0.25284981.4666531282970.0109497623
0.26285570.8129172783040.33372604133
0.27286164.3194395053116.69057169227
0.28286762.9796449033191.67299120043
0.29287366.7759202693258.89288901152
0.3287974.7096921293312.67870419916
0.31288584.9751883473349.49062359305
0.32289195.2219830183367.60873615823
0.33289802.8486449913367.09526952157
0.34290405.2781722813349.74597147665
0.35291000.1808271323318.06745843786
0.36291585.6270659223275.15979399353
0.37292160.1688973813224.81375751853
0.38292722.8598195973169.13124388202
0.39293273.2304033373111.51953896867
0.4293811.2386987113052.98028830009
0.41294337.2128886752996.33732211982
0.42294851.7993790852942.65609640842
0.43295355.9242190282893.40303541496
0.44295850.7705425572850.0193095805
0.45296337.7703626012814.2702805079
0.46296818.6058742422787.10968605268
0.47297295.2134769442770.43947002678
0.48297769.7828708752766.13923397704
0.49298244.743632922775.55333491742
0.5298722.7324655872800.6604075995
0.51299206.535723142841.813723874
0.52299699.0037982052899.79866640148
0.53300202.9364839912973.48207669211
0.54300720.9415061483061.83587533136
0.55301255.2719971123162.29583862815
0.56301807.6526128323270.88357029024
0.57302379.1079429323382.42869209686
0.58302969.8102999333491.82925683648
0.59303578.9661449193592.33306602967
0.6304204.7604606143677.6498151262
0.61304844.3755458233741.98209647092
0.62305494.0945480863779.46770419449
0.63306149.490753413786.37373661967
0.64306805.6921749093760.6600423406
0.65307457.6990593563703.059126954
0.66308100.7218120773615.02630961168
0.67308730.5008138973501.55323013262
0.68309343.5694008233368.37422067025
0.69309937.427545223222.43899028657
0.7310510.6058089893070.75025484502
0.71311062.6149843222919.9200911991
0.72311593.7937880552774.39810991009
0.73312105.0822635082637.86426685132
0.74312597.759982672511.09815571863
0.75313073.1944505482394.12435965441
0.76313532.6457878212284.82072630253
0.77313977.1685903532180.92131652894
0.78314407.6403680632080.2522397573
0.79314824.9272848081981.69549236453
0.8315230.1713768391885.29325433058
0.81315625.1499023191794.40867021408
0.82316012.6211491711713.16561751338
0.83316396.5405902241648.25116581856
0.84316782.0194652551606.6461753999
0.85317174.9185134551592.6787018854
0.86317581.0322175041606.27090728404
0.87318004.922842811639.48731131769
0.88318448.5949903271678.21205120701
0.89318910.3388229821702.95097700264
0.9319384.201485691694.38094202828
0.91319860.6933941551636.69845599732
0.92320329.5574872561523.18165823019
0.93320785.7145213641361.38987078354
0.94321239.3916113821180.25129207494
0.95321729.3388908321048.57127270491
0.96322330.9224801451107.58040390637
0.97323137.4884796531519.77412388312
0.98324185.2254640972299.63864926081
0.99325326.5253782883254.37356282768


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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')