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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, 01 Mar 2016 17:54:13 +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/2016/Mar/01/t1456854895af4j489k6t37efz.htm/, Retrieved Tue, 07 May 2024 10:42:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293203, Retrieved Tue, 07 May 2024 10:42:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82

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] [] [2016-03-01 17:54:13] [dce1b7f6243247e331d0750a8103b593] [Current]
- R P     [Harrell-Davis Quantiles] [] [2016-03-12 17:02:17] [a134250e9068373a091df7e7ff2776c7]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10670,5
11129
13474,5
12317,8
11990,1
13478,3
11762,4
11149,1
13597,2
13367,9
13304,2
12407,2
13008,3
13379,5
15696
13529,6
14857
14375,1
12958,4
12612,8
14405,2
13655,8
13783,1
12336,1
13366,7
14042,4
15412
13566,5
13981,5
14042
13131
12771,2
13600,1
14886,9
13813,1
11551
13750,5
13415,4
15040,9
14349,5
13900,2
13956,6
13951
11802,1
14219,1
14914,5
14098,2
12773,6
14225
13513
14754,4
14447,7
13777,8
14328,6
14106,1
12157
15425,1
15448,8
13604,5
12269,3

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=293203&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=293203&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293203&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
0.0110771.3893983868384.698403347971
0.0210918.6082597329315.425529843389
0.0311073.973351538286.010353844469
0.0411219.5221122979294.730512332251
0.0511352.7700683508312.237208120984
0.0611475.9542405788320.293561430428
0.0711590.5850996867316.666119328605
0.0811696.8907193409306.195516979946
0.0911794.820329503294.052016575505
0.111884.716574282282.988818925588
0.1111967.3773706604273.613866122595
0.1212043.8428642625265.759520061029
0.1312115.2010557691259.525664695504
0.1412182.5031226818255.517709993271
0.1512246.7513437555254.539868883241
0.1612308.8966647481257.044977033658
0.1712369.8111085095262.878392066655
0.1812430.2355504545271.231998140854
0.1912490.7231071227280.900845634188
0.212551.5999573443290.564003942
0.2112612.9559468855299.047275254866
0.2212674.6653396134305.48968026849
0.2312736.4293490829309.3151454473
0.2412797.8287272745310.225566483328
0.2512858.3759960224308.087130016459
0.2612917.5607820215302.957672096508
0.2712974.8859429513294.953411469195
0.2813029.8952179924284.298245089512
0.2913082.1944224663271.323470673371
0.313131.4679712974256.40694140548
0.3113177.4914578349240.068821277337
0.3213220.1399045717222.871212041356
0.3313259.3906966655205.430981812749
0.3413295.3203194598188.371552329534
0.3513328.0947349308172.237066138748
0.3613357.9542324849157.463848411854
0.3713385.1945092113144.397099170493
0.3813410.14628518133.22148712723
0.3913433.1558055792123.995431506308
0.413454.5681521409116.673823396401
0.4113474.7145347273111.139459147081
0.4213493.9038727578107.238952725523
0.4313512.4182106728104.79642628293
0.4413530.5109901258103.677136435204
0.4513548.4069908009103.708001318616
0.4613566.3028373251104.786708333378
0.4713584.3672753425106.733470674122
0.4813602.7408358237109.389741906224
0.4913621.5349203475112.589966673143
0.513640.8306603991116.112505183249
0.5113660.6780772961119.753809253713
0.5213681.0960855052123.335153006886
0.5313702.0737677449126.6523158431
0.5413723.5731566976129.563634931324
0.5513745.5335437352131.921959027337
0.5613767.8771483053133.670685152685
0.5713790.5158493342134.765139860957
0.5813813.3586036298135.210924954343
0.5913836.3191371552135.039157610529
0.613859.3234665077134.367609259126
0.6113882.3167697976133.313483136092
0.6213905.2690766453132.031315577754
0.6313928.1792080212130.736571656783
0.6413951.0764099526129.600712128858
0.6513974.019240981128.824432892656
0.6613997.0915339367128.565249398443
0.6714020.3956745857128.932805975206
0.6814044.0439984199129.950347951875
0.6914068.1497263577131.586086683203
0.714092.8194103036133.698922262578
0.7114118.1491637054136.15564421714
0.7214144.2268094813138.790858969837
0.7314171.1413049596141.518873561793
0.7414198.9993013933144.359852477977
0.7514227.9465339323147.488318078767
0.7614258.1892438617151.254704295756
0.7714290.0086485645156.130984651043
0.7814323.7605186049162.65965120219
0.7914359.853226424171.190327367592
0.814398.701983465181.775611296961
0.8114440.664416975193.926467022485
0.8214485.9719025565206.658161368158
0.8314534.6792994369218.618952872101
0.8414586.6586614623228.389474006005
0.8514641.6554938997234.912018659555
0.8614699.4062690837237.93474032701
0.8714759.7848039693238.253457226945
0.8814822.9116387893237.699016041526
0.8914889.1420412847238.489439463652
0.914958.8675561277241.905973815813
0.9115032.1424477404246.820652987419
0.9215108.2793915845249.221942770482
0.9315185.7059570842243.487244924085
0.9415262.4282752139225.308786232432
0.9515337.2326380494195.204151446886
0.9615411.0790843139161.921769702054
0.9715487.0618349565144.479730416055
0.9815566.7466930078161.508803968946
0.9915642.9449336141204.403850602887

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10771.3893983868 & 384.698403347971 \tabularnewline
0.02 & 10918.6082597329 & 315.425529843389 \tabularnewline
0.03 & 11073.973351538 & 286.010353844469 \tabularnewline
0.04 & 11219.5221122979 & 294.730512332251 \tabularnewline
0.05 & 11352.7700683508 & 312.237208120984 \tabularnewline
0.06 & 11475.9542405788 & 320.293561430428 \tabularnewline
0.07 & 11590.5850996867 & 316.666119328605 \tabularnewline
0.08 & 11696.8907193409 & 306.195516979946 \tabularnewline
0.09 & 11794.820329503 & 294.052016575505 \tabularnewline
0.1 & 11884.716574282 & 282.988818925588 \tabularnewline
0.11 & 11967.3773706604 & 273.613866122595 \tabularnewline
0.12 & 12043.8428642625 & 265.759520061029 \tabularnewline
0.13 & 12115.2010557691 & 259.525664695504 \tabularnewline
0.14 & 12182.5031226818 & 255.517709993271 \tabularnewline
0.15 & 12246.7513437555 & 254.539868883241 \tabularnewline
0.16 & 12308.8966647481 & 257.044977033658 \tabularnewline
0.17 & 12369.8111085095 & 262.878392066655 \tabularnewline
0.18 & 12430.2355504545 & 271.231998140854 \tabularnewline
0.19 & 12490.7231071227 & 280.900845634188 \tabularnewline
0.2 & 12551.5999573443 & 290.564003942 \tabularnewline
0.21 & 12612.9559468855 & 299.047275254866 \tabularnewline
0.22 & 12674.6653396134 & 305.48968026849 \tabularnewline
0.23 & 12736.4293490829 & 309.3151454473 \tabularnewline
0.24 & 12797.8287272745 & 310.225566483328 \tabularnewline
0.25 & 12858.3759960224 & 308.087130016459 \tabularnewline
0.26 & 12917.5607820215 & 302.957672096508 \tabularnewline
0.27 & 12974.8859429513 & 294.953411469195 \tabularnewline
0.28 & 13029.8952179924 & 284.298245089512 \tabularnewline
0.29 & 13082.1944224663 & 271.323470673371 \tabularnewline
0.3 & 13131.4679712974 & 256.40694140548 \tabularnewline
0.31 & 13177.4914578349 & 240.068821277337 \tabularnewline
0.32 & 13220.1399045717 & 222.871212041356 \tabularnewline
0.33 & 13259.3906966655 & 205.430981812749 \tabularnewline
0.34 & 13295.3203194598 & 188.371552329534 \tabularnewline
0.35 & 13328.0947349308 & 172.237066138748 \tabularnewline
0.36 & 13357.9542324849 & 157.463848411854 \tabularnewline
0.37 & 13385.1945092113 & 144.397099170493 \tabularnewline
0.38 & 13410.14628518 & 133.22148712723 \tabularnewline
0.39 & 13433.1558055792 & 123.995431506308 \tabularnewline
0.4 & 13454.5681521409 & 116.673823396401 \tabularnewline
0.41 & 13474.7145347273 & 111.139459147081 \tabularnewline
0.42 & 13493.9038727578 & 107.238952725523 \tabularnewline
0.43 & 13512.4182106728 & 104.79642628293 \tabularnewline
0.44 & 13530.5109901258 & 103.677136435204 \tabularnewline
0.45 & 13548.4069908009 & 103.708001318616 \tabularnewline
0.46 & 13566.3028373251 & 104.786708333378 \tabularnewline
0.47 & 13584.3672753425 & 106.733470674122 \tabularnewline
0.48 & 13602.7408358237 & 109.389741906224 \tabularnewline
0.49 & 13621.5349203475 & 112.589966673143 \tabularnewline
0.5 & 13640.8306603991 & 116.112505183249 \tabularnewline
0.51 & 13660.6780772961 & 119.753809253713 \tabularnewline
0.52 & 13681.0960855052 & 123.335153006886 \tabularnewline
0.53 & 13702.0737677449 & 126.6523158431 \tabularnewline
0.54 & 13723.5731566976 & 129.563634931324 \tabularnewline
0.55 & 13745.5335437352 & 131.921959027337 \tabularnewline
0.56 & 13767.8771483053 & 133.670685152685 \tabularnewline
0.57 & 13790.5158493342 & 134.765139860957 \tabularnewline
0.58 & 13813.3586036298 & 135.210924954343 \tabularnewline
0.59 & 13836.3191371552 & 135.039157610529 \tabularnewline
0.6 & 13859.3234665077 & 134.367609259126 \tabularnewline
0.61 & 13882.3167697976 & 133.313483136092 \tabularnewline
0.62 & 13905.2690766453 & 132.031315577754 \tabularnewline
0.63 & 13928.1792080212 & 130.736571656783 \tabularnewline
0.64 & 13951.0764099526 & 129.600712128858 \tabularnewline
0.65 & 13974.019240981 & 128.824432892656 \tabularnewline
0.66 & 13997.0915339367 & 128.565249398443 \tabularnewline
0.67 & 14020.3956745857 & 128.932805975206 \tabularnewline
0.68 & 14044.0439984199 & 129.950347951875 \tabularnewline
0.69 & 14068.1497263577 & 131.586086683203 \tabularnewline
0.7 & 14092.8194103036 & 133.698922262578 \tabularnewline
0.71 & 14118.1491637054 & 136.15564421714 \tabularnewline
0.72 & 14144.2268094813 & 138.790858969837 \tabularnewline
0.73 & 14171.1413049596 & 141.518873561793 \tabularnewline
0.74 & 14198.9993013933 & 144.359852477977 \tabularnewline
0.75 & 14227.9465339323 & 147.488318078767 \tabularnewline
0.76 & 14258.1892438617 & 151.254704295756 \tabularnewline
0.77 & 14290.0086485645 & 156.130984651043 \tabularnewline
0.78 & 14323.7605186049 & 162.65965120219 \tabularnewline
0.79 & 14359.853226424 & 171.190327367592 \tabularnewline
0.8 & 14398.701983465 & 181.775611296961 \tabularnewline
0.81 & 14440.664416975 & 193.926467022485 \tabularnewline
0.82 & 14485.9719025565 & 206.658161368158 \tabularnewline
0.83 & 14534.6792994369 & 218.618952872101 \tabularnewline
0.84 & 14586.6586614623 & 228.389474006005 \tabularnewline
0.85 & 14641.6554938997 & 234.912018659555 \tabularnewline
0.86 & 14699.4062690837 & 237.93474032701 \tabularnewline
0.87 & 14759.7848039693 & 238.253457226945 \tabularnewline
0.88 & 14822.9116387893 & 237.699016041526 \tabularnewline
0.89 & 14889.1420412847 & 238.489439463652 \tabularnewline
0.9 & 14958.8675561277 & 241.905973815813 \tabularnewline
0.91 & 15032.1424477404 & 246.820652987419 \tabularnewline
0.92 & 15108.2793915845 & 249.221942770482 \tabularnewline
0.93 & 15185.7059570842 & 243.487244924085 \tabularnewline
0.94 & 15262.4282752139 & 225.308786232432 \tabularnewline
0.95 & 15337.2326380494 & 195.204151446886 \tabularnewline
0.96 & 15411.0790843139 & 161.921769702054 \tabularnewline
0.97 & 15487.0618349565 & 144.479730416055 \tabularnewline
0.98 & 15566.7466930078 & 161.508803968946 \tabularnewline
0.99 & 15642.9449336141 & 204.403850602887 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293203&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]10771.3893983868[/C][C]384.698403347971[/C][/ROW]
[ROW][C]0.02[/C][C]10918.6082597329[/C][C]315.425529843389[/C][/ROW]
[ROW][C]0.03[/C][C]11073.973351538[/C][C]286.010353844469[/C][/ROW]
[ROW][C]0.04[/C][C]11219.5221122979[/C][C]294.730512332251[/C][/ROW]
[ROW][C]0.05[/C][C]11352.7700683508[/C][C]312.237208120984[/C][/ROW]
[ROW][C]0.06[/C][C]11475.9542405788[/C][C]320.293561430428[/C][/ROW]
[ROW][C]0.07[/C][C]11590.5850996867[/C][C]316.666119328605[/C][/ROW]
[ROW][C]0.08[/C][C]11696.8907193409[/C][C]306.195516979946[/C][/ROW]
[ROW][C]0.09[/C][C]11794.820329503[/C][C]294.052016575505[/C][/ROW]
[ROW][C]0.1[/C][C]11884.716574282[/C][C]282.988818925588[/C][/ROW]
[ROW][C]0.11[/C][C]11967.3773706604[/C][C]273.613866122595[/C][/ROW]
[ROW][C]0.12[/C][C]12043.8428642625[/C][C]265.759520061029[/C][/ROW]
[ROW][C]0.13[/C][C]12115.2010557691[/C][C]259.525664695504[/C][/ROW]
[ROW][C]0.14[/C][C]12182.5031226818[/C][C]255.517709993271[/C][/ROW]
[ROW][C]0.15[/C][C]12246.7513437555[/C][C]254.539868883241[/C][/ROW]
[ROW][C]0.16[/C][C]12308.8966647481[/C][C]257.044977033658[/C][/ROW]
[ROW][C]0.17[/C][C]12369.8111085095[/C][C]262.878392066655[/C][/ROW]
[ROW][C]0.18[/C][C]12430.2355504545[/C][C]271.231998140854[/C][/ROW]
[ROW][C]0.19[/C][C]12490.7231071227[/C][C]280.900845634188[/C][/ROW]
[ROW][C]0.2[/C][C]12551.5999573443[/C][C]290.564003942[/C][/ROW]
[ROW][C]0.21[/C][C]12612.9559468855[/C][C]299.047275254866[/C][/ROW]
[ROW][C]0.22[/C][C]12674.6653396134[/C][C]305.48968026849[/C][/ROW]
[ROW][C]0.23[/C][C]12736.4293490829[/C][C]309.3151454473[/C][/ROW]
[ROW][C]0.24[/C][C]12797.8287272745[/C][C]310.225566483328[/C][/ROW]
[ROW][C]0.25[/C][C]12858.3759960224[/C][C]308.087130016459[/C][/ROW]
[ROW][C]0.26[/C][C]12917.5607820215[/C][C]302.957672096508[/C][/ROW]
[ROW][C]0.27[/C][C]12974.8859429513[/C][C]294.953411469195[/C][/ROW]
[ROW][C]0.28[/C][C]13029.8952179924[/C][C]284.298245089512[/C][/ROW]
[ROW][C]0.29[/C][C]13082.1944224663[/C][C]271.323470673371[/C][/ROW]
[ROW][C]0.3[/C][C]13131.4679712974[/C][C]256.40694140548[/C][/ROW]
[ROW][C]0.31[/C][C]13177.4914578349[/C][C]240.068821277337[/C][/ROW]
[ROW][C]0.32[/C][C]13220.1399045717[/C][C]222.871212041356[/C][/ROW]
[ROW][C]0.33[/C][C]13259.3906966655[/C][C]205.430981812749[/C][/ROW]
[ROW][C]0.34[/C][C]13295.3203194598[/C][C]188.371552329534[/C][/ROW]
[ROW][C]0.35[/C][C]13328.0947349308[/C][C]172.237066138748[/C][/ROW]
[ROW][C]0.36[/C][C]13357.9542324849[/C][C]157.463848411854[/C][/ROW]
[ROW][C]0.37[/C][C]13385.1945092113[/C][C]144.397099170493[/C][/ROW]
[ROW][C]0.38[/C][C]13410.14628518[/C][C]133.22148712723[/C][/ROW]
[ROW][C]0.39[/C][C]13433.1558055792[/C][C]123.995431506308[/C][/ROW]
[ROW][C]0.4[/C][C]13454.5681521409[/C][C]116.673823396401[/C][/ROW]
[ROW][C]0.41[/C][C]13474.7145347273[/C][C]111.139459147081[/C][/ROW]
[ROW][C]0.42[/C][C]13493.9038727578[/C][C]107.238952725523[/C][/ROW]
[ROW][C]0.43[/C][C]13512.4182106728[/C][C]104.79642628293[/C][/ROW]
[ROW][C]0.44[/C][C]13530.5109901258[/C][C]103.677136435204[/C][/ROW]
[ROW][C]0.45[/C][C]13548.4069908009[/C][C]103.708001318616[/C][/ROW]
[ROW][C]0.46[/C][C]13566.3028373251[/C][C]104.786708333378[/C][/ROW]
[ROW][C]0.47[/C][C]13584.3672753425[/C][C]106.733470674122[/C][/ROW]
[ROW][C]0.48[/C][C]13602.7408358237[/C][C]109.389741906224[/C][/ROW]
[ROW][C]0.49[/C][C]13621.5349203475[/C][C]112.589966673143[/C][/ROW]
[ROW][C]0.5[/C][C]13640.8306603991[/C][C]116.112505183249[/C][/ROW]
[ROW][C]0.51[/C][C]13660.6780772961[/C][C]119.753809253713[/C][/ROW]
[ROW][C]0.52[/C][C]13681.0960855052[/C][C]123.335153006886[/C][/ROW]
[ROW][C]0.53[/C][C]13702.0737677449[/C][C]126.6523158431[/C][/ROW]
[ROW][C]0.54[/C][C]13723.5731566976[/C][C]129.563634931324[/C][/ROW]
[ROW][C]0.55[/C][C]13745.5335437352[/C][C]131.921959027337[/C][/ROW]
[ROW][C]0.56[/C][C]13767.8771483053[/C][C]133.670685152685[/C][/ROW]
[ROW][C]0.57[/C][C]13790.5158493342[/C][C]134.765139860957[/C][/ROW]
[ROW][C]0.58[/C][C]13813.3586036298[/C][C]135.210924954343[/C][/ROW]
[ROW][C]0.59[/C][C]13836.3191371552[/C][C]135.039157610529[/C][/ROW]
[ROW][C]0.6[/C][C]13859.3234665077[/C][C]134.367609259126[/C][/ROW]
[ROW][C]0.61[/C][C]13882.3167697976[/C][C]133.313483136092[/C][/ROW]
[ROW][C]0.62[/C][C]13905.2690766453[/C][C]132.031315577754[/C][/ROW]
[ROW][C]0.63[/C][C]13928.1792080212[/C][C]130.736571656783[/C][/ROW]
[ROW][C]0.64[/C][C]13951.0764099526[/C][C]129.600712128858[/C][/ROW]
[ROW][C]0.65[/C][C]13974.019240981[/C][C]128.824432892656[/C][/ROW]
[ROW][C]0.66[/C][C]13997.0915339367[/C][C]128.565249398443[/C][/ROW]
[ROW][C]0.67[/C][C]14020.3956745857[/C][C]128.932805975206[/C][/ROW]
[ROW][C]0.68[/C][C]14044.0439984199[/C][C]129.950347951875[/C][/ROW]
[ROW][C]0.69[/C][C]14068.1497263577[/C][C]131.586086683203[/C][/ROW]
[ROW][C]0.7[/C][C]14092.8194103036[/C][C]133.698922262578[/C][/ROW]
[ROW][C]0.71[/C][C]14118.1491637054[/C][C]136.15564421714[/C][/ROW]
[ROW][C]0.72[/C][C]14144.2268094813[/C][C]138.790858969837[/C][/ROW]
[ROW][C]0.73[/C][C]14171.1413049596[/C][C]141.518873561793[/C][/ROW]
[ROW][C]0.74[/C][C]14198.9993013933[/C][C]144.359852477977[/C][/ROW]
[ROW][C]0.75[/C][C]14227.9465339323[/C][C]147.488318078767[/C][/ROW]
[ROW][C]0.76[/C][C]14258.1892438617[/C][C]151.254704295756[/C][/ROW]
[ROW][C]0.77[/C][C]14290.0086485645[/C][C]156.130984651043[/C][/ROW]
[ROW][C]0.78[/C][C]14323.7605186049[/C][C]162.65965120219[/C][/ROW]
[ROW][C]0.79[/C][C]14359.853226424[/C][C]171.190327367592[/C][/ROW]
[ROW][C]0.8[/C][C]14398.701983465[/C][C]181.775611296961[/C][/ROW]
[ROW][C]0.81[/C][C]14440.664416975[/C][C]193.926467022485[/C][/ROW]
[ROW][C]0.82[/C][C]14485.9719025565[/C][C]206.658161368158[/C][/ROW]
[ROW][C]0.83[/C][C]14534.6792994369[/C][C]218.618952872101[/C][/ROW]
[ROW][C]0.84[/C][C]14586.6586614623[/C][C]228.389474006005[/C][/ROW]
[ROW][C]0.85[/C][C]14641.6554938997[/C][C]234.912018659555[/C][/ROW]
[ROW][C]0.86[/C][C]14699.4062690837[/C][C]237.93474032701[/C][/ROW]
[ROW][C]0.87[/C][C]14759.7848039693[/C][C]238.253457226945[/C][/ROW]
[ROW][C]0.88[/C][C]14822.9116387893[/C][C]237.699016041526[/C][/ROW]
[ROW][C]0.89[/C][C]14889.1420412847[/C][C]238.489439463652[/C][/ROW]
[ROW][C]0.9[/C][C]14958.8675561277[/C][C]241.905973815813[/C][/ROW]
[ROW][C]0.91[/C][C]15032.1424477404[/C][C]246.820652987419[/C][/ROW]
[ROW][C]0.92[/C][C]15108.2793915845[/C][C]249.221942770482[/C][/ROW]
[ROW][C]0.93[/C][C]15185.7059570842[/C][C]243.487244924085[/C][/ROW]
[ROW][C]0.94[/C][C]15262.4282752139[/C][C]225.308786232432[/C][/ROW]
[ROW][C]0.95[/C][C]15337.2326380494[/C][C]195.204151446886[/C][/ROW]
[ROW][C]0.96[/C][C]15411.0790843139[/C][C]161.921769702054[/C][/ROW]
[ROW][C]0.97[/C][C]15487.0618349565[/C][C]144.479730416055[/C][/ROW]
[ROW][C]0.98[/C][C]15566.7466930078[/C][C]161.508803968946[/C][/ROW]
[ROW][C]0.99[/C][C]15642.9449336141[/C][C]204.403850602887[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293203&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293203&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
0.0110771.3893983868384.698403347971
0.0210918.6082597329315.425529843389
0.0311073.973351538286.010353844469
0.0411219.5221122979294.730512332251
0.0511352.7700683508312.237208120984
0.0611475.9542405788320.293561430428
0.0711590.5850996867316.666119328605
0.0811696.8907193409306.195516979946
0.0911794.820329503294.052016575505
0.111884.716574282282.988818925588
0.1111967.3773706604273.613866122595
0.1212043.8428642625265.759520061029
0.1312115.2010557691259.525664695504
0.1412182.5031226818255.517709993271
0.1512246.7513437555254.539868883241
0.1612308.8966647481257.044977033658
0.1712369.8111085095262.878392066655
0.1812430.2355504545271.231998140854
0.1912490.7231071227280.900845634188
0.212551.5999573443290.564003942
0.2112612.9559468855299.047275254866
0.2212674.6653396134305.48968026849
0.2312736.4293490829309.3151454473
0.2412797.8287272745310.225566483328
0.2512858.3759960224308.087130016459
0.2612917.5607820215302.957672096508
0.2712974.8859429513294.953411469195
0.2813029.8952179924284.298245089512
0.2913082.1944224663271.323470673371
0.313131.4679712974256.40694140548
0.3113177.4914578349240.068821277337
0.3213220.1399045717222.871212041356
0.3313259.3906966655205.430981812749
0.3413295.3203194598188.371552329534
0.3513328.0947349308172.237066138748
0.3613357.9542324849157.463848411854
0.3713385.1945092113144.397099170493
0.3813410.14628518133.22148712723
0.3913433.1558055792123.995431506308
0.413454.5681521409116.673823396401
0.4113474.7145347273111.139459147081
0.4213493.9038727578107.238952725523
0.4313512.4182106728104.79642628293
0.4413530.5109901258103.677136435204
0.4513548.4069908009103.708001318616
0.4613566.3028373251104.786708333378
0.4713584.3672753425106.733470674122
0.4813602.7408358237109.389741906224
0.4913621.5349203475112.589966673143
0.513640.8306603991116.112505183249
0.5113660.6780772961119.753809253713
0.5213681.0960855052123.335153006886
0.5313702.0737677449126.6523158431
0.5413723.5731566976129.563634931324
0.5513745.5335437352131.921959027337
0.5613767.8771483053133.670685152685
0.5713790.5158493342134.765139860957
0.5813813.3586036298135.210924954343
0.5913836.3191371552135.039157610529
0.613859.3234665077134.367609259126
0.6113882.3167697976133.313483136092
0.6213905.2690766453132.031315577754
0.6313928.1792080212130.736571656783
0.6413951.0764099526129.600712128858
0.6513974.019240981128.824432892656
0.6613997.0915339367128.565249398443
0.6714020.3956745857128.932805975206
0.6814044.0439984199129.950347951875
0.6914068.1497263577131.586086683203
0.714092.8194103036133.698922262578
0.7114118.1491637054136.15564421714
0.7214144.2268094813138.790858969837
0.7314171.1413049596141.518873561793
0.7414198.9993013933144.359852477977
0.7514227.9465339323147.488318078767
0.7614258.1892438617151.254704295756
0.7714290.0086485645156.130984651043
0.7814323.7605186049162.65965120219
0.7914359.853226424171.190327367592
0.814398.701983465181.775611296961
0.8114440.664416975193.926467022485
0.8214485.9719025565206.658161368158
0.8314534.6792994369218.618952872101
0.8414586.6586614623228.389474006005
0.8514641.6554938997234.912018659555
0.8614699.4062690837237.93474032701
0.8714759.7848039693238.253457226945
0.8814822.9116387893237.699016041526
0.8914889.1420412847238.489439463652
0.914958.8675561277241.905973815813
0.9115032.1424477404246.820652987419
0.9215108.2793915845249.221942770482
0.9315185.7059570842243.487244924085
0.9415262.4282752139225.308786232432
0.9515337.2326380494195.204151446886
0.9615411.0790843139161.921769702054
0.9715487.0618349565144.479730416055
0.9815566.7466930078161.508803968946
0.9915642.9449336141204.403850602887


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')