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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 computationFri, 27 Jul 2012 04:12:46 -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/2012/Jul/27/t1343376790cqjnovouc5d3uat.htm/, Retrieved Fri, 03 May 2024 03:53:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=168881, Retrieved Fri, 03 May 2024 03:53:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsBlij Arnaud
Estimated Impact208

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] [2012-07-27 08:12:46] [50083fea611f0183deb36cab794727ad] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1160
1220
1100
1030
1110
1160
1170
1090
1160
1210
1250
1200
1180
1210
950
1070
1120
1220
1170
1120
1180
1250
1240
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1120
1330
990
1110
1090
1210
1220
1220
1100
1200
1320
1180
1110
1300
1060
1130
1160
1260
1210
1190
1130
1170
1370
1170
1040
1340
1050
1130
1150
1220
1210
1150
1130
1150
1440
1160
1130
1350
1050
1150
1120
1170
1100
1120
1210
1170
1370
1170
1110
1320
1060
1150
1160
1230
1140
1100
1270
1160
1380
1150
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1080
1160
1230
1210
1130
1110
1250
1210
1370
1080
1220
1360
1120
1150
1180
1250
1040
1180
1250
1120
1430
1150

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=168881&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=168881&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168881&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
0.01972.97188500094836.3732868985593
0.021002.4537041689529.3755537993413
0.031024.0764094061820.0617817825331
0.041037.3903624520913.8654425858527
0.051045.97234943612.0459772753616
0.061052.6280954900112.5322051358502
0.071058.7425366849613.6314638231252
0.081064.7746663064114.5737498674911
0.091070.7495488673815.0206346826076
0.11076.5346340493814.8761749152115
0.111081.9730166686714.2169631893658
0.121086.9467360226713.2169988356453
0.131091.4004333849412.0730086505305
0.141095.3390010183610.9504664850499
0.151098.810828285759.95907080654913
0.161101.886814206939.1491808252418
0.171104.642039431258.51450171369932
0.181107.143485410488.02362290869226
0.191109.444470894797.63478809269612
0.21111.584733231447.31498007541361
0.211113.594223725477.04762303413927
0.221115.49848719526.8405686813772
0.231117.323693139736.71680418034958
0.241119.099839370346.710984544072
0.251120.86133119496.85194481827225
0.261122.64495816077.14814193037536
0.271124.486005418237.58494812296292
0.281126.413601443818.12205677477777
0.291128.446369998298.70865055349137
0.31130.589201761389.27775796698944
0.311132.831718425929.76331737496381
0.321135.148840633810.1015722131132
0.331137.5036709745610.2421977197866
0.341139.8525104145710.1671880267095
0.351142.151248905379.88621095234134
0.361144.361834970239.44177743977637
0.371146.45734645458.9007180460847
0.381148.424533155388.33106544561342
0.391150.263485509677.79761779901186
0.41151.984969333037.33902984563295
0.411153.606571524916.97543992927613
0.421155.148900901876.70661008700677
0.431156.632720283776.52204923276371
0.441158.077301717596.41277943793547
0.451159.499801407166.36981179444294
0.461160.915239789526.38920735960192
0.471162.336752368786.4605247326429
0.481163.776003133636.57695775106295
0.491165.243836971026.73352200238813
0.51166.751270097296.93164371935845
0.511168.310774509367.18262596787151
0.521169.937592161437.50529483168688
0.531171.650630986087.91813390569712
0.541173.472429366748.44272108316227
0.551175.427758467479.08854605025068
0.561177.540658651979.84481291667419
0.571179.8300588859510.6782025206342
0.581182.3045707760411.5299348903401
0.591184.9575010162312.3139560848212
0.61187.7634421875312.9368704426604
0.611190.6777988538813.3075544570967
0.621193.6401461147613.3604280729332
0.631196.5814145188913.0699156921411
0.641199.4337728715712.4637482599757
0.651202.1411318089211.6174715361987
0.661204.6678259521410.6424062011072
0.671207.003478190739.6694746326165
0.681209.163204774128.81585532466979
0.691211.183752789478.17517259829921
0.71213.117278546267.79311464430706
0.711215.02479606817.68955942191298
0.721216.970737165587.84992691336688
0.731219.018923769358.25894312602415
0.741221.229252816448.88864481138924
0.751223.654237707049.69778602116773
0.761226.3355524803510.626168047979
0.771229.3025137528811.5994392252233
0.781232.5759228451212.5604640965695
0.791236.1804129211413.5098428489795
0.81240.1652894840414.5527404136177
0.811244.6280056056515.8992156135226
0.821249.7281213137417.82303448673
0.831255.6770099993420.5021584895279
0.841262.6940004996723.8645560776016
0.851270.9342632923127.5154229196232
0.861280.4124275030130.8102994888927
0.871290.9572074984333.0635441188648
0.881302.2243094529833.7937062583858
0.891313.7655711067332.8982909196678
0.91325.1172825939230.6336605019702
0.911335.8587288812727.401611358652
0.921345.6258413875123.5002924867399
0.931354.1383871526219.1069085475585
0.941361.370033743114.632704374112
0.951367.9824016097611.3957162932581
0.961375.9065673927112.5168842772736
0.971388.2519663715419.9722732189588
0.981406.897553844727.9143004329232
0.991427.7150686802423.4275607797967

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 972.971885000948 & 36.3732868985593 \tabularnewline
0.02 & 1002.45370416895 & 29.3755537993413 \tabularnewline
0.03 & 1024.07640940618 & 20.0617817825331 \tabularnewline
0.04 & 1037.39036245209 & 13.8654425858527 \tabularnewline
0.05 & 1045.972349436 & 12.0459772753616 \tabularnewline
0.06 & 1052.62809549001 & 12.5322051358502 \tabularnewline
0.07 & 1058.74253668496 & 13.6314638231252 \tabularnewline
0.08 & 1064.77466630641 & 14.5737498674911 \tabularnewline
0.09 & 1070.74954886738 & 15.0206346826076 \tabularnewline
0.1 & 1076.53463404938 & 14.8761749152115 \tabularnewline
0.11 & 1081.97301666867 & 14.2169631893658 \tabularnewline
0.12 & 1086.94673602267 & 13.2169988356453 \tabularnewline
0.13 & 1091.40043338494 & 12.0730086505305 \tabularnewline
0.14 & 1095.33900101836 & 10.9504664850499 \tabularnewline
0.15 & 1098.81082828575 & 9.95907080654913 \tabularnewline
0.16 & 1101.88681420693 & 9.1491808252418 \tabularnewline
0.17 & 1104.64203943125 & 8.51450171369932 \tabularnewline
0.18 & 1107.14348541048 & 8.02362290869226 \tabularnewline
0.19 & 1109.44447089479 & 7.63478809269612 \tabularnewline
0.2 & 1111.58473323144 & 7.31498007541361 \tabularnewline
0.21 & 1113.59422372547 & 7.04762303413927 \tabularnewline
0.22 & 1115.4984871952 & 6.8405686813772 \tabularnewline
0.23 & 1117.32369313973 & 6.71680418034958 \tabularnewline
0.24 & 1119.09983937034 & 6.710984544072 \tabularnewline
0.25 & 1120.8613311949 & 6.85194481827225 \tabularnewline
0.26 & 1122.6449581607 & 7.14814193037536 \tabularnewline
0.27 & 1124.48600541823 & 7.58494812296292 \tabularnewline
0.28 & 1126.41360144381 & 8.12205677477777 \tabularnewline
0.29 & 1128.44636999829 & 8.70865055349137 \tabularnewline
0.3 & 1130.58920176138 & 9.27775796698944 \tabularnewline
0.31 & 1132.83171842592 & 9.76331737496381 \tabularnewline
0.32 & 1135.1488406338 & 10.1015722131132 \tabularnewline
0.33 & 1137.50367097456 & 10.2421977197866 \tabularnewline
0.34 & 1139.85251041457 & 10.1671880267095 \tabularnewline
0.35 & 1142.15124890537 & 9.88621095234134 \tabularnewline
0.36 & 1144.36183497023 & 9.44177743977637 \tabularnewline
0.37 & 1146.4573464545 & 8.9007180460847 \tabularnewline
0.38 & 1148.42453315538 & 8.33106544561342 \tabularnewline
0.39 & 1150.26348550967 & 7.79761779901186 \tabularnewline
0.4 & 1151.98496933303 & 7.33902984563295 \tabularnewline
0.41 & 1153.60657152491 & 6.97543992927613 \tabularnewline
0.42 & 1155.14890090187 & 6.70661008700677 \tabularnewline
0.43 & 1156.63272028377 & 6.52204923276371 \tabularnewline
0.44 & 1158.07730171759 & 6.41277943793547 \tabularnewline
0.45 & 1159.49980140716 & 6.36981179444294 \tabularnewline
0.46 & 1160.91523978952 & 6.38920735960192 \tabularnewline
0.47 & 1162.33675236878 & 6.4605247326429 \tabularnewline
0.48 & 1163.77600313363 & 6.57695775106295 \tabularnewline
0.49 & 1165.24383697102 & 6.73352200238813 \tabularnewline
0.5 & 1166.75127009729 & 6.93164371935845 \tabularnewline
0.51 & 1168.31077450936 & 7.18262596787151 \tabularnewline
0.52 & 1169.93759216143 & 7.50529483168688 \tabularnewline
0.53 & 1171.65063098608 & 7.91813390569712 \tabularnewline
0.54 & 1173.47242936674 & 8.44272108316227 \tabularnewline
0.55 & 1175.42775846747 & 9.08854605025068 \tabularnewline
0.56 & 1177.54065865197 & 9.84481291667419 \tabularnewline
0.57 & 1179.83005888595 & 10.6782025206342 \tabularnewline
0.58 & 1182.30457077604 & 11.5299348903401 \tabularnewline
0.59 & 1184.95750101623 & 12.3139560848212 \tabularnewline
0.6 & 1187.76344218753 & 12.9368704426604 \tabularnewline
0.61 & 1190.67779885388 & 13.3075544570967 \tabularnewline
0.62 & 1193.64014611476 & 13.3604280729332 \tabularnewline
0.63 & 1196.58141451889 & 13.0699156921411 \tabularnewline
0.64 & 1199.43377287157 & 12.4637482599757 \tabularnewline
0.65 & 1202.14113180892 & 11.6174715361987 \tabularnewline
0.66 & 1204.66782595214 & 10.6424062011072 \tabularnewline
0.67 & 1207.00347819073 & 9.6694746326165 \tabularnewline
0.68 & 1209.16320477412 & 8.81585532466979 \tabularnewline
0.69 & 1211.18375278947 & 8.17517259829921 \tabularnewline
0.7 & 1213.11727854626 & 7.79311464430706 \tabularnewline
0.71 & 1215.0247960681 & 7.68955942191298 \tabularnewline
0.72 & 1216.97073716558 & 7.84992691336688 \tabularnewline
0.73 & 1219.01892376935 & 8.25894312602415 \tabularnewline
0.74 & 1221.22925281644 & 8.88864481138924 \tabularnewline
0.75 & 1223.65423770704 & 9.69778602116773 \tabularnewline
0.76 & 1226.33555248035 & 10.626168047979 \tabularnewline
0.77 & 1229.30251375288 & 11.5994392252233 \tabularnewline
0.78 & 1232.57592284512 & 12.5604640965695 \tabularnewline
0.79 & 1236.18041292114 & 13.5098428489795 \tabularnewline
0.8 & 1240.16528948404 & 14.5527404136177 \tabularnewline
0.81 & 1244.62800560565 & 15.8992156135226 \tabularnewline
0.82 & 1249.72812131374 & 17.82303448673 \tabularnewline
0.83 & 1255.67700999934 & 20.5021584895279 \tabularnewline
0.84 & 1262.69400049967 & 23.8645560776016 \tabularnewline
0.85 & 1270.93426329231 & 27.5154229196232 \tabularnewline
0.86 & 1280.41242750301 & 30.8102994888927 \tabularnewline
0.87 & 1290.95720749843 & 33.0635441188648 \tabularnewline
0.88 & 1302.22430945298 & 33.7937062583858 \tabularnewline
0.89 & 1313.76557110673 & 32.8982909196678 \tabularnewline
0.9 & 1325.11728259392 & 30.6336605019702 \tabularnewline
0.91 & 1335.85872888127 & 27.401611358652 \tabularnewline
0.92 & 1345.62584138751 & 23.5002924867399 \tabularnewline
0.93 & 1354.13838715262 & 19.1069085475585 \tabularnewline
0.94 & 1361.3700337431 & 14.632704374112 \tabularnewline
0.95 & 1367.98240160976 & 11.3957162932581 \tabularnewline
0.96 & 1375.90656739271 & 12.5168842772736 \tabularnewline
0.97 & 1388.25196637154 & 19.9722732189588 \tabularnewline
0.98 & 1406.8975538447 & 27.9143004329232 \tabularnewline
0.99 & 1427.71506868024 & 23.4275607797967 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168881&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]972.971885000948[/C][C]36.3732868985593[/C][/ROW]
[ROW][C]0.02[/C][C]1002.45370416895[/C][C]29.3755537993413[/C][/ROW]
[ROW][C]0.03[/C][C]1024.07640940618[/C][C]20.0617817825331[/C][/ROW]
[ROW][C]0.04[/C][C]1037.39036245209[/C][C]13.8654425858527[/C][/ROW]
[ROW][C]0.05[/C][C]1045.972349436[/C][C]12.0459772753616[/C][/ROW]
[ROW][C]0.06[/C][C]1052.62809549001[/C][C]12.5322051358502[/C][/ROW]
[ROW][C]0.07[/C][C]1058.74253668496[/C][C]13.6314638231252[/C][/ROW]
[ROW][C]0.08[/C][C]1064.77466630641[/C][C]14.5737498674911[/C][/ROW]
[ROW][C]0.09[/C][C]1070.74954886738[/C][C]15.0206346826076[/C][/ROW]
[ROW][C]0.1[/C][C]1076.53463404938[/C][C]14.8761749152115[/C][/ROW]
[ROW][C]0.11[/C][C]1081.97301666867[/C][C]14.2169631893658[/C][/ROW]
[ROW][C]0.12[/C][C]1086.94673602267[/C][C]13.2169988356453[/C][/ROW]
[ROW][C]0.13[/C][C]1091.40043338494[/C][C]12.0730086505305[/C][/ROW]
[ROW][C]0.14[/C][C]1095.33900101836[/C][C]10.9504664850499[/C][/ROW]
[ROW][C]0.15[/C][C]1098.81082828575[/C][C]9.95907080654913[/C][/ROW]
[ROW][C]0.16[/C][C]1101.88681420693[/C][C]9.1491808252418[/C][/ROW]
[ROW][C]0.17[/C][C]1104.64203943125[/C][C]8.51450171369932[/C][/ROW]
[ROW][C]0.18[/C][C]1107.14348541048[/C][C]8.02362290869226[/C][/ROW]
[ROW][C]0.19[/C][C]1109.44447089479[/C][C]7.63478809269612[/C][/ROW]
[ROW][C]0.2[/C][C]1111.58473323144[/C][C]7.31498007541361[/C][/ROW]
[ROW][C]0.21[/C][C]1113.59422372547[/C][C]7.04762303413927[/C][/ROW]
[ROW][C]0.22[/C][C]1115.4984871952[/C][C]6.8405686813772[/C][/ROW]
[ROW][C]0.23[/C][C]1117.32369313973[/C][C]6.71680418034958[/C][/ROW]
[ROW][C]0.24[/C][C]1119.09983937034[/C][C]6.710984544072[/C][/ROW]
[ROW][C]0.25[/C][C]1120.8613311949[/C][C]6.85194481827225[/C][/ROW]
[ROW][C]0.26[/C][C]1122.6449581607[/C][C]7.14814193037536[/C][/ROW]
[ROW][C]0.27[/C][C]1124.48600541823[/C][C]7.58494812296292[/C][/ROW]
[ROW][C]0.28[/C][C]1126.41360144381[/C][C]8.12205677477777[/C][/ROW]
[ROW][C]0.29[/C][C]1128.44636999829[/C][C]8.70865055349137[/C][/ROW]
[ROW][C]0.3[/C][C]1130.58920176138[/C][C]9.27775796698944[/C][/ROW]
[ROW][C]0.31[/C][C]1132.83171842592[/C][C]9.76331737496381[/C][/ROW]
[ROW][C]0.32[/C][C]1135.1488406338[/C][C]10.1015722131132[/C][/ROW]
[ROW][C]0.33[/C][C]1137.50367097456[/C][C]10.2421977197866[/C][/ROW]
[ROW][C]0.34[/C][C]1139.85251041457[/C][C]10.1671880267095[/C][/ROW]
[ROW][C]0.35[/C][C]1142.15124890537[/C][C]9.88621095234134[/C][/ROW]
[ROW][C]0.36[/C][C]1144.36183497023[/C][C]9.44177743977637[/C][/ROW]
[ROW][C]0.37[/C][C]1146.4573464545[/C][C]8.9007180460847[/C][/ROW]
[ROW][C]0.38[/C][C]1148.42453315538[/C][C]8.33106544561342[/C][/ROW]
[ROW][C]0.39[/C][C]1150.26348550967[/C][C]7.79761779901186[/C][/ROW]
[ROW][C]0.4[/C][C]1151.98496933303[/C][C]7.33902984563295[/C][/ROW]
[ROW][C]0.41[/C][C]1153.60657152491[/C][C]6.97543992927613[/C][/ROW]
[ROW][C]0.42[/C][C]1155.14890090187[/C][C]6.70661008700677[/C][/ROW]
[ROW][C]0.43[/C][C]1156.63272028377[/C][C]6.52204923276371[/C][/ROW]
[ROW][C]0.44[/C][C]1158.07730171759[/C][C]6.41277943793547[/C][/ROW]
[ROW][C]0.45[/C][C]1159.49980140716[/C][C]6.36981179444294[/C][/ROW]
[ROW][C]0.46[/C][C]1160.91523978952[/C][C]6.38920735960192[/C][/ROW]
[ROW][C]0.47[/C][C]1162.33675236878[/C][C]6.4605247326429[/C][/ROW]
[ROW][C]0.48[/C][C]1163.77600313363[/C][C]6.57695775106295[/C][/ROW]
[ROW][C]0.49[/C][C]1165.24383697102[/C][C]6.73352200238813[/C][/ROW]
[ROW][C]0.5[/C][C]1166.75127009729[/C][C]6.93164371935845[/C][/ROW]
[ROW][C]0.51[/C][C]1168.31077450936[/C][C]7.18262596787151[/C][/ROW]
[ROW][C]0.52[/C][C]1169.93759216143[/C][C]7.50529483168688[/C][/ROW]
[ROW][C]0.53[/C][C]1171.65063098608[/C][C]7.91813390569712[/C][/ROW]
[ROW][C]0.54[/C][C]1173.47242936674[/C][C]8.44272108316227[/C][/ROW]
[ROW][C]0.55[/C][C]1175.42775846747[/C][C]9.08854605025068[/C][/ROW]
[ROW][C]0.56[/C][C]1177.54065865197[/C][C]9.84481291667419[/C][/ROW]
[ROW][C]0.57[/C][C]1179.83005888595[/C][C]10.6782025206342[/C][/ROW]
[ROW][C]0.58[/C][C]1182.30457077604[/C][C]11.5299348903401[/C][/ROW]
[ROW][C]0.59[/C][C]1184.95750101623[/C][C]12.3139560848212[/C][/ROW]
[ROW][C]0.6[/C][C]1187.76344218753[/C][C]12.9368704426604[/C][/ROW]
[ROW][C]0.61[/C][C]1190.67779885388[/C][C]13.3075544570967[/C][/ROW]
[ROW][C]0.62[/C][C]1193.64014611476[/C][C]13.3604280729332[/C][/ROW]
[ROW][C]0.63[/C][C]1196.58141451889[/C][C]13.0699156921411[/C][/ROW]
[ROW][C]0.64[/C][C]1199.43377287157[/C][C]12.4637482599757[/C][/ROW]
[ROW][C]0.65[/C][C]1202.14113180892[/C][C]11.6174715361987[/C][/ROW]
[ROW][C]0.66[/C][C]1204.66782595214[/C][C]10.6424062011072[/C][/ROW]
[ROW][C]0.67[/C][C]1207.00347819073[/C][C]9.6694746326165[/C][/ROW]
[ROW][C]0.68[/C][C]1209.16320477412[/C][C]8.81585532466979[/C][/ROW]
[ROW][C]0.69[/C][C]1211.18375278947[/C][C]8.17517259829921[/C][/ROW]
[ROW][C]0.7[/C][C]1213.11727854626[/C][C]7.79311464430706[/C][/ROW]
[ROW][C]0.71[/C][C]1215.0247960681[/C][C]7.68955942191298[/C][/ROW]
[ROW][C]0.72[/C][C]1216.97073716558[/C][C]7.84992691336688[/C][/ROW]
[ROW][C]0.73[/C][C]1219.01892376935[/C][C]8.25894312602415[/C][/ROW]
[ROW][C]0.74[/C][C]1221.22925281644[/C][C]8.88864481138924[/C][/ROW]
[ROW][C]0.75[/C][C]1223.65423770704[/C][C]9.69778602116773[/C][/ROW]
[ROW][C]0.76[/C][C]1226.33555248035[/C][C]10.626168047979[/C][/ROW]
[ROW][C]0.77[/C][C]1229.30251375288[/C][C]11.5994392252233[/C][/ROW]
[ROW][C]0.78[/C][C]1232.57592284512[/C][C]12.5604640965695[/C][/ROW]
[ROW][C]0.79[/C][C]1236.18041292114[/C][C]13.5098428489795[/C][/ROW]
[ROW][C]0.8[/C][C]1240.16528948404[/C][C]14.5527404136177[/C][/ROW]
[ROW][C]0.81[/C][C]1244.62800560565[/C][C]15.8992156135226[/C][/ROW]
[ROW][C]0.82[/C][C]1249.72812131374[/C][C]17.82303448673[/C][/ROW]
[ROW][C]0.83[/C][C]1255.67700999934[/C][C]20.5021584895279[/C][/ROW]
[ROW][C]0.84[/C][C]1262.69400049967[/C][C]23.8645560776016[/C][/ROW]
[ROW][C]0.85[/C][C]1270.93426329231[/C][C]27.5154229196232[/C][/ROW]
[ROW][C]0.86[/C][C]1280.41242750301[/C][C]30.8102994888927[/C][/ROW]
[ROW][C]0.87[/C][C]1290.95720749843[/C][C]33.0635441188648[/C][/ROW]
[ROW][C]0.88[/C][C]1302.22430945298[/C][C]33.7937062583858[/C][/ROW]
[ROW][C]0.89[/C][C]1313.76557110673[/C][C]32.8982909196678[/C][/ROW]
[ROW][C]0.9[/C][C]1325.11728259392[/C][C]30.6336605019702[/C][/ROW]
[ROW][C]0.91[/C][C]1335.85872888127[/C][C]27.401611358652[/C][/ROW]
[ROW][C]0.92[/C][C]1345.62584138751[/C][C]23.5002924867399[/C][/ROW]
[ROW][C]0.93[/C][C]1354.13838715262[/C][C]19.1069085475585[/C][/ROW]
[ROW][C]0.94[/C][C]1361.3700337431[/C][C]14.632704374112[/C][/ROW]
[ROW][C]0.95[/C][C]1367.98240160976[/C][C]11.3957162932581[/C][/ROW]
[ROW][C]0.96[/C][C]1375.90656739271[/C][C]12.5168842772736[/C][/ROW]
[ROW][C]0.97[/C][C]1388.25196637154[/C][C]19.9722732189588[/C][/ROW]
[ROW][C]0.98[/C][C]1406.8975538447[/C][C]27.9143004329232[/C][/ROW]
[ROW][C]0.99[/C][C]1427.71506868024[/C][C]23.4275607797967[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168881&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168881&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
0.01972.97188500094836.3732868985593
0.021002.4537041689529.3755537993413
0.031024.0764094061820.0617817825331
0.041037.3903624520913.8654425858527
0.051045.97234943612.0459772753616
0.061052.6280954900112.5322051358502
0.071058.7425366849613.6314638231252
0.081064.7746663064114.5737498674911
0.091070.7495488673815.0206346826076
0.11076.5346340493814.8761749152115
0.111081.9730166686714.2169631893658
0.121086.9467360226713.2169988356453
0.131091.4004333849412.0730086505305
0.141095.3390010183610.9504664850499
0.151098.810828285759.95907080654913
0.161101.886814206939.1491808252418
0.171104.642039431258.51450171369932
0.181107.143485410488.02362290869226
0.191109.444470894797.63478809269612
0.21111.584733231447.31498007541361
0.211113.594223725477.04762303413927
0.221115.49848719526.8405686813772
0.231117.323693139736.71680418034958
0.241119.099839370346.710984544072
0.251120.86133119496.85194481827225
0.261122.64495816077.14814193037536
0.271124.486005418237.58494812296292
0.281126.413601443818.12205677477777
0.291128.446369998298.70865055349137
0.31130.589201761389.27775796698944
0.311132.831718425929.76331737496381
0.321135.148840633810.1015722131132
0.331137.5036709745610.2421977197866
0.341139.8525104145710.1671880267095
0.351142.151248905379.88621095234134
0.361144.361834970239.44177743977637
0.371146.45734645458.9007180460847
0.381148.424533155388.33106544561342
0.391150.263485509677.79761779901186
0.41151.984969333037.33902984563295
0.411153.606571524916.97543992927613
0.421155.148900901876.70661008700677
0.431156.632720283776.52204923276371
0.441158.077301717596.41277943793547
0.451159.499801407166.36981179444294
0.461160.915239789526.38920735960192
0.471162.336752368786.4605247326429
0.481163.776003133636.57695775106295
0.491165.243836971026.73352200238813
0.51166.751270097296.93164371935845
0.511168.310774509367.18262596787151
0.521169.937592161437.50529483168688
0.531171.650630986087.91813390569712
0.541173.472429366748.44272108316227
0.551175.427758467479.08854605025068
0.561177.540658651979.84481291667419
0.571179.8300588859510.6782025206342
0.581182.3045707760411.5299348903401
0.591184.9575010162312.3139560848212
0.61187.7634421875312.9368704426604
0.611190.6777988538813.3075544570967
0.621193.6401461147613.3604280729332
0.631196.5814145188913.0699156921411
0.641199.4337728715712.4637482599757
0.651202.1411318089211.6174715361987
0.661204.6678259521410.6424062011072
0.671207.003478190739.6694746326165
0.681209.163204774128.81585532466979
0.691211.183752789478.17517259829921
0.71213.117278546267.79311464430706
0.711215.02479606817.68955942191298
0.721216.970737165587.84992691336688
0.731219.018923769358.25894312602415
0.741221.229252816448.88864481138924
0.751223.654237707049.69778602116773
0.761226.3355524803510.626168047979
0.771229.3025137528811.5994392252233
0.781232.5759228451212.5604640965695
0.791236.1804129211413.5098428489795
0.81240.1652894840414.5527404136177
0.811244.6280056056515.8992156135226
0.821249.7281213137417.82303448673
0.831255.6770099993420.5021584895279
0.841262.6940004996723.8645560776016
0.851270.9342632923127.5154229196232
0.861280.4124275030130.8102994888927
0.871290.9572074984333.0635441188648
0.881302.2243094529833.7937062583858
0.891313.7655711067332.8982909196678
0.91325.1172825939230.6336605019702
0.911335.8587288812727.401611358652
0.921345.6258413875123.5002924867399
0.931354.1383871526219.1069085475585
0.941361.370033743114.632704374112
0.951367.9824016097611.3957162932581
0.961375.9065673927112.5168842772736
0.971388.2519663715419.9722732189588
0.981406.897553844727.9143004329232
0.991427.7150686802423.4275607797967


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')