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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, 26 Jul 2011 08:07:51 -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/Jul/26/t1311682115li5fprdneju7eeq.htm/, Retrieved Sat, 18 May 2024 18:02:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=123138, Retrieved Sat, 18 May 2024 18:02:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsThomas Schroeven
Estimated Impact212

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 2 - Stap 7] [2011-07-26 12:07:51] [1757923712b2aedbf315e1364d6f70a4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1070
1240
1200
1280
1180
1190
1190
1230
1470
1190
1190
1400
1130
1260
1260
1260
1130
1220
1180
1280
1140
1160
1170
1410
1100
1280
1330
1260
1070
1260
1270
1410
1160
1130
1160
1300
1080
1380
1260
1250
990
1180
1240
1500
1650
1110
1080
1270
1050
1490
1280
1230
960
1100
1270
1530
1290
1120
1100
1310
1020
1510
1260
1160
970
1020
1210
1530
1350
1070
1140
1250
930
1510
1230
1180
960
960
1240
1640
1350
1100
1120
1290
890
1560
1250
1170
900
860
1310
1610
1440
1130
1220
1400
930
1490
1250
1160
910
880
1300
1550
1460
1120
1270
1410

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123138&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123138&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123138&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01870.57682062166316.4839021925058
0.02884.82415162397615.934240470267
0.03898.10400009194718.6776035205245
0.04910.7849722218921.9087502107492
0.05923.42857027190624.329935422739
0.06936.01977293888226.0566410523152
0.07948.5191771765727.9477592874279
0.08961.11705194519430.7750927812517
0.09974.12656810657634.4853468715191
0.1987.74245042879638.1842230772637
0.111001.8693120397240.751753828996
0.121016.1190474761541.4558252216441
0.131029.9514854056140.1927187945558
0.141042.8595425559737.3985463251018
0.151054.5056083895733.7842330586903
0.161064.7683302800430.0542142785091
0.171073.7115133252626.7129520470079
0.181081.5132839115523.9996914198524
0.191088.3932582368421.9287554895065
0.21094.5604048350320.3935981914039
0.211100.1874208620219.2604631996359
0.221105.4062629560918.4163892758028
0.231110.3155147168217.7936077589614
0.241114.9913074258717.3606701664886
0.251119.4964676506817.1096683855201
0.261123.8854457786417.0369370461146
0.271128.2047690761417.122075833736
0.281132.4903229009417.3153610093868
0.291136.7637125615817.5452801507985
0.31141.0301147878417.7280717968339
0.311145.2792964443317.7993394730007
0.321149.4901258423517.7227883527808
0.331153.6375194712117.5041363002145
0.341157.6999521157117.1877746492372
0.351161.6656809108316.8340750254822
0.361165.5365197296116.5187291119313
0.371169.3288890306816.3088040885645
0.381173.0725105072916.2571043333158
0.391176.8073221252716.4071287453888
0.41180.5790691911316.777229942695
0.411184.4338628123517.3599231946497
0.421188.4120296883918.1135973755815
0.431192.541854932918.9667694668454
0.441196.834181986119.8161036759469
0.451201.279020665220.5580461548473
0.461205.8451256246421.08528927774
0.471210.4829200365621.3211988377575
0.481215.1303274893521.2279784930448
0.491219.7203306252520.8032188064467
0.51224.1886738598920.0859179432512
0.511228.4802101488219.1334759544956
0.521232.552910166618.0215840608906
0.531236.3793007475316.821507198276
0.541239.9458070554115.5923265511377
0.551243.2509113220114.3845392909714
0.561246.3031022251313.2317877935782
0.571249.1193089643112.167084355257
0.581251.7240427484411.2207039665823
0.591254.1490063674810.4238258022192
0.61256.432659181829.80731072384734
0.611258.619238842189.4033866517706
0.621260.757028307069.22531528336444
0.631262.896095889139.27365523951273
0.641265.086142475939.53548514969567
0.651267.375286717499.98824863273837
0.661269.8105079307610.6128095023145
0.671272.4400679771911.4154744371351
0.681275.3176703568412.418234301719
0.691278.5075480218813.6704553271543
0.71282.0892217243515.2386047710391
0.711286.1603793410417.196820442654
0.721290.8361895927919.605844844627
0.731296.2434283452922.48907181713
0.741302.5082513189525.8067554885885
0.751309.7376066239529.4356931240696
0.761317.996381553333.1591378473671
0.771327.2852281591136.6706629707938
0.781337.5266578317939.6338401968479
0.791348.5677170993841.7525808479733
0.81360.204485090242.8613827395583
0.811372.2260155656643.0083946685422
0.821384.4649797159242.4660513567181
0.831396.8340181420241.6493079754042
0.841409.3270586749640.9364162198616
0.851421.9776037358840.4639879104672
0.861434.7884223800940.0109629948128
0.871447.668148034839.1184421147409
0.881460.4154135950937.3573074671673
0.891472.7722756291834.6082109978181
0.91484.5332763456631.1857421576607
0.911495.6674809716327.7508512859135
0.921506.4135132741625.0773626318145
0.931517.3474529663723.8399330135795
0.941529.4610064939224.6144056776814
0.951544.2228800613127.9971801806753
0.961563.3294178201733.8845188681575
0.971587.5622553326639.2474726249088
0.981614.6782685525337.1511703937401
0.991638.1549119143823.1668309898899

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 870.576820621663 & 16.4839021925058 \tabularnewline
0.02 & 884.824151623976 & 15.934240470267 \tabularnewline
0.03 & 898.104000091947 & 18.6776035205245 \tabularnewline
0.04 & 910.78497222189 & 21.9087502107492 \tabularnewline
0.05 & 923.428570271906 & 24.329935422739 \tabularnewline
0.06 & 936.019772938882 & 26.0566410523152 \tabularnewline
0.07 & 948.51917717657 & 27.9477592874279 \tabularnewline
0.08 & 961.117051945194 & 30.7750927812517 \tabularnewline
0.09 & 974.126568106576 & 34.4853468715191 \tabularnewline
0.1 & 987.742450428796 & 38.1842230772637 \tabularnewline
0.11 & 1001.86931203972 & 40.751753828996 \tabularnewline
0.12 & 1016.11904747615 & 41.4558252216441 \tabularnewline
0.13 & 1029.95148540561 & 40.1927187945558 \tabularnewline
0.14 & 1042.85954255597 & 37.3985463251018 \tabularnewline
0.15 & 1054.50560838957 & 33.7842330586903 \tabularnewline
0.16 & 1064.76833028004 & 30.0542142785091 \tabularnewline
0.17 & 1073.71151332526 & 26.7129520470079 \tabularnewline
0.18 & 1081.51328391155 & 23.9996914198524 \tabularnewline
0.19 & 1088.39325823684 & 21.9287554895065 \tabularnewline
0.2 & 1094.56040483503 & 20.3935981914039 \tabularnewline
0.21 & 1100.18742086202 & 19.2604631996359 \tabularnewline
0.22 & 1105.40626295609 & 18.4163892758028 \tabularnewline
0.23 & 1110.31551471682 & 17.7936077589614 \tabularnewline
0.24 & 1114.99130742587 & 17.3606701664886 \tabularnewline
0.25 & 1119.49646765068 & 17.1096683855201 \tabularnewline
0.26 & 1123.88544577864 & 17.0369370461146 \tabularnewline
0.27 & 1128.20476907614 & 17.122075833736 \tabularnewline
0.28 & 1132.49032290094 & 17.3153610093868 \tabularnewline
0.29 & 1136.76371256158 & 17.5452801507985 \tabularnewline
0.3 & 1141.03011478784 & 17.7280717968339 \tabularnewline
0.31 & 1145.27929644433 & 17.7993394730007 \tabularnewline
0.32 & 1149.49012584235 & 17.7227883527808 \tabularnewline
0.33 & 1153.63751947121 & 17.5041363002145 \tabularnewline
0.34 & 1157.69995211571 & 17.1877746492372 \tabularnewline
0.35 & 1161.66568091083 & 16.8340750254822 \tabularnewline
0.36 & 1165.53651972961 & 16.5187291119313 \tabularnewline
0.37 & 1169.32888903068 & 16.3088040885645 \tabularnewline
0.38 & 1173.07251050729 & 16.2571043333158 \tabularnewline
0.39 & 1176.80732212527 & 16.4071287453888 \tabularnewline
0.4 & 1180.57906919113 & 16.777229942695 \tabularnewline
0.41 & 1184.43386281235 & 17.3599231946497 \tabularnewline
0.42 & 1188.41202968839 & 18.1135973755815 \tabularnewline
0.43 & 1192.5418549329 & 18.9667694668454 \tabularnewline
0.44 & 1196.8341819861 & 19.8161036759469 \tabularnewline
0.45 & 1201.2790206652 & 20.5580461548473 \tabularnewline
0.46 & 1205.84512562464 & 21.08528927774 \tabularnewline
0.47 & 1210.48292003656 & 21.3211988377575 \tabularnewline
0.48 & 1215.13032748935 & 21.2279784930448 \tabularnewline
0.49 & 1219.72033062525 & 20.8032188064467 \tabularnewline
0.5 & 1224.18867385989 & 20.0859179432512 \tabularnewline
0.51 & 1228.48021014882 & 19.1334759544956 \tabularnewline
0.52 & 1232.5529101666 & 18.0215840608906 \tabularnewline
0.53 & 1236.37930074753 & 16.821507198276 \tabularnewline
0.54 & 1239.94580705541 & 15.5923265511377 \tabularnewline
0.55 & 1243.25091132201 & 14.3845392909714 \tabularnewline
0.56 & 1246.30310222513 & 13.2317877935782 \tabularnewline
0.57 & 1249.11930896431 & 12.167084355257 \tabularnewline
0.58 & 1251.72404274844 & 11.2207039665823 \tabularnewline
0.59 & 1254.14900636748 & 10.4238258022192 \tabularnewline
0.6 & 1256.43265918182 & 9.80731072384734 \tabularnewline
0.61 & 1258.61923884218 & 9.4033866517706 \tabularnewline
0.62 & 1260.75702830706 & 9.22531528336444 \tabularnewline
0.63 & 1262.89609588913 & 9.27365523951273 \tabularnewline
0.64 & 1265.08614247593 & 9.53548514969567 \tabularnewline
0.65 & 1267.37528671749 & 9.98824863273837 \tabularnewline
0.66 & 1269.81050793076 & 10.6128095023145 \tabularnewline
0.67 & 1272.44006797719 & 11.4154744371351 \tabularnewline
0.68 & 1275.31767035684 & 12.418234301719 \tabularnewline
0.69 & 1278.50754802188 & 13.6704553271543 \tabularnewline
0.7 & 1282.08922172435 & 15.2386047710391 \tabularnewline
0.71 & 1286.16037934104 & 17.196820442654 \tabularnewline
0.72 & 1290.83618959279 & 19.605844844627 \tabularnewline
0.73 & 1296.24342834529 & 22.48907181713 \tabularnewline
0.74 & 1302.50825131895 & 25.8067554885885 \tabularnewline
0.75 & 1309.73760662395 & 29.4356931240696 \tabularnewline
0.76 & 1317.9963815533 & 33.1591378473671 \tabularnewline
0.77 & 1327.28522815911 & 36.6706629707938 \tabularnewline
0.78 & 1337.52665783179 & 39.6338401968479 \tabularnewline
0.79 & 1348.56771709938 & 41.7525808479733 \tabularnewline
0.8 & 1360.2044850902 & 42.8613827395583 \tabularnewline
0.81 & 1372.22601556566 & 43.0083946685422 \tabularnewline
0.82 & 1384.46497971592 & 42.4660513567181 \tabularnewline
0.83 & 1396.83401814202 & 41.6493079754042 \tabularnewline
0.84 & 1409.32705867496 & 40.9364162198616 \tabularnewline
0.85 & 1421.97760373588 & 40.4639879104672 \tabularnewline
0.86 & 1434.78842238009 & 40.0109629948128 \tabularnewline
0.87 & 1447.6681480348 & 39.1184421147409 \tabularnewline
0.88 & 1460.41541359509 & 37.3573074671673 \tabularnewline
0.89 & 1472.77227562918 & 34.6082109978181 \tabularnewline
0.9 & 1484.53327634566 & 31.1857421576607 \tabularnewline
0.91 & 1495.66748097163 & 27.7508512859135 \tabularnewline
0.92 & 1506.41351327416 & 25.0773626318145 \tabularnewline
0.93 & 1517.34745296637 & 23.8399330135795 \tabularnewline
0.94 & 1529.46100649392 & 24.6144056776814 \tabularnewline
0.95 & 1544.22288006131 & 27.9971801806753 \tabularnewline
0.96 & 1563.32941782017 & 33.8845188681575 \tabularnewline
0.97 & 1587.56225533266 & 39.2474726249088 \tabularnewline
0.98 & 1614.67826855253 & 37.1511703937401 \tabularnewline
0.99 & 1638.15491191438 & 23.1668309898899 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123138&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]870.576820621663[/C][C]16.4839021925058[/C][/ROW]
[ROW][C]0.02[/C][C]884.824151623976[/C][C]15.934240470267[/C][/ROW]
[ROW][C]0.03[/C][C]898.104000091947[/C][C]18.6776035205245[/C][/ROW]
[ROW][C]0.04[/C][C]910.78497222189[/C][C]21.9087502107492[/C][/ROW]
[ROW][C]0.05[/C][C]923.428570271906[/C][C]24.329935422739[/C][/ROW]
[ROW][C]0.06[/C][C]936.019772938882[/C][C]26.0566410523152[/C][/ROW]
[ROW][C]0.07[/C][C]948.51917717657[/C][C]27.9477592874279[/C][/ROW]
[ROW][C]0.08[/C][C]961.117051945194[/C][C]30.7750927812517[/C][/ROW]
[ROW][C]0.09[/C][C]974.126568106576[/C][C]34.4853468715191[/C][/ROW]
[ROW][C]0.1[/C][C]987.742450428796[/C][C]38.1842230772637[/C][/ROW]
[ROW][C]0.11[/C][C]1001.86931203972[/C][C]40.751753828996[/C][/ROW]
[ROW][C]0.12[/C][C]1016.11904747615[/C][C]41.4558252216441[/C][/ROW]
[ROW][C]0.13[/C][C]1029.95148540561[/C][C]40.1927187945558[/C][/ROW]
[ROW][C]0.14[/C][C]1042.85954255597[/C][C]37.3985463251018[/C][/ROW]
[ROW][C]0.15[/C][C]1054.50560838957[/C][C]33.7842330586903[/C][/ROW]
[ROW][C]0.16[/C][C]1064.76833028004[/C][C]30.0542142785091[/C][/ROW]
[ROW][C]0.17[/C][C]1073.71151332526[/C][C]26.7129520470079[/C][/ROW]
[ROW][C]0.18[/C][C]1081.51328391155[/C][C]23.9996914198524[/C][/ROW]
[ROW][C]0.19[/C][C]1088.39325823684[/C][C]21.9287554895065[/C][/ROW]
[ROW][C]0.2[/C][C]1094.56040483503[/C][C]20.3935981914039[/C][/ROW]
[ROW][C]0.21[/C][C]1100.18742086202[/C][C]19.2604631996359[/C][/ROW]
[ROW][C]0.22[/C][C]1105.40626295609[/C][C]18.4163892758028[/C][/ROW]
[ROW][C]0.23[/C][C]1110.31551471682[/C][C]17.7936077589614[/C][/ROW]
[ROW][C]0.24[/C][C]1114.99130742587[/C][C]17.3606701664886[/C][/ROW]
[ROW][C]0.25[/C][C]1119.49646765068[/C][C]17.1096683855201[/C][/ROW]
[ROW][C]0.26[/C][C]1123.88544577864[/C][C]17.0369370461146[/C][/ROW]
[ROW][C]0.27[/C][C]1128.20476907614[/C][C]17.122075833736[/C][/ROW]
[ROW][C]0.28[/C][C]1132.49032290094[/C][C]17.3153610093868[/C][/ROW]
[ROW][C]0.29[/C][C]1136.76371256158[/C][C]17.5452801507985[/C][/ROW]
[ROW][C]0.3[/C][C]1141.03011478784[/C][C]17.7280717968339[/C][/ROW]
[ROW][C]0.31[/C][C]1145.27929644433[/C][C]17.7993394730007[/C][/ROW]
[ROW][C]0.32[/C][C]1149.49012584235[/C][C]17.7227883527808[/C][/ROW]
[ROW][C]0.33[/C][C]1153.63751947121[/C][C]17.5041363002145[/C][/ROW]
[ROW][C]0.34[/C][C]1157.69995211571[/C][C]17.1877746492372[/C][/ROW]
[ROW][C]0.35[/C][C]1161.66568091083[/C][C]16.8340750254822[/C][/ROW]
[ROW][C]0.36[/C][C]1165.53651972961[/C][C]16.5187291119313[/C][/ROW]
[ROW][C]0.37[/C][C]1169.32888903068[/C][C]16.3088040885645[/C][/ROW]
[ROW][C]0.38[/C][C]1173.07251050729[/C][C]16.2571043333158[/C][/ROW]
[ROW][C]0.39[/C][C]1176.80732212527[/C][C]16.4071287453888[/C][/ROW]
[ROW][C]0.4[/C][C]1180.57906919113[/C][C]16.777229942695[/C][/ROW]
[ROW][C]0.41[/C][C]1184.43386281235[/C][C]17.3599231946497[/C][/ROW]
[ROW][C]0.42[/C][C]1188.41202968839[/C][C]18.1135973755815[/C][/ROW]
[ROW][C]0.43[/C][C]1192.5418549329[/C][C]18.9667694668454[/C][/ROW]
[ROW][C]0.44[/C][C]1196.8341819861[/C][C]19.8161036759469[/C][/ROW]
[ROW][C]0.45[/C][C]1201.2790206652[/C][C]20.5580461548473[/C][/ROW]
[ROW][C]0.46[/C][C]1205.84512562464[/C][C]21.08528927774[/C][/ROW]
[ROW][C]0.47[/C][C]1210.48292003656[/C][C]21.3211988377575[/C][/ROW]
[ROW][C]0.48[/C][C]1215.13032748935[/C][C]21.2279784930448[/C][/ROW]
[ROW][C]0.49[/C][C]1219.72033062525[/C][C]20.8032188064467[/C][/ROW]
[ROW][C]0.5[/C][C]1224.18867385989[/C][C]20.0859179432512[/C][/ROW]
[ROW][C]0.51[/C][C]1228.48021014882[/C][C]19.1334759544956[/C][/ROW]
[ROW][C]0.52[/C][C]1232.5529101666[/C][C]18.0215840608906[/C][/ROW]
[ROW][C]0.53[/C][C]1236.37930074753[/C][C]16.821507198276[/C][/ROW]
[ROW][C]0.54[/C][C]1239.94580705541[/C][C]15.5923265511377[/C][/ROW]
[ROW][C]0.55[/C][C]1243.25091132201[/C][C]14.3845392909714[/C][/ROW]
[ROW][C]0.56[/C][C]1246.30310222513[/C][C]13.2317877935782[/C][/ROW]
[ROW][C]0.57[/C][C]1249.11930896431[/C][C]12.167084355257[/C][/ROW]
[ROW][C]0.58[/C][C]1251.72404274844[/C][C]11.2207039665823[/C][/ROW]
[ROW][C]0.59[/C][C]1254.14900636748[/C][C]10.4238258022192[/C][/ROW]
[ROW][C]0.6[/C][C]1256.43265918182[/C][C]9.80731072384734[/C][/ROW]
[ROW][C]0.61[/C][C]1258.61923884218[/C][C]9.4033866517706[/C][/ROW]
[ROW][C]0.62[/C][C]1260.75702830706[/C][C]9.22531528336444[/C][/ROW]
[ROW][C]0.63[/C][C]1262.89609588913[/C][C]9.27365523951273[/C][/ROW]
[ROW][C]0.64[/C][C]1265.08614247593[/C][C]9.53548514969567[/C][/ROW]
[ROW][C]0.65[/C][C]1267.37528671749[/C][C]9.98824863273837[/C][/ROW]
[ROW][C]0.66[/C][C]1269.81050793076[/C][C]10.6128095023145[/C][/ROW]
[ROW][C]0.67[/C][C]1272.44006797719[/C][C]11.4154744371351[/C][/ROW]
[ROW][C]0.68[/C][C]1275.31767035684[/C][C]12.418234301719[/C][/ROW]
[ROW][C]0.69[/C][C]1278.50754802188[/C][C]13.6704553271543[/C][/ROW]
[ROW][C]0.7[/C][C]1282.08922172435[/C][C]15.2386047710391[/C][/ROW]
[ROW][C]0.71[/C][C]1286.16037934104[/C][C]17.196820442654[/C][/ROW]
[ROW][C]0.72[/C][C]1290.83618959279[/C][C]19.605844844627[/C][/ROW]
[ROW][C]0.73[/C][C]1296.24342834529[/C][C]22.48907181713[/C][/ROW]
[ROW][C]0.74[/C][C]1302.50825131895[/C][C]25.8067554885885[/C][/ROW]
[ROW][C]0.75[/C][C]1309.73760662395[/C][C]29.4356931240696[/C][/ROW]
[ROW][C]0.76[/C][C]1317.9963815533[/C][C]33.1591378473671[/C][/ROW]
[ROW][C]0.77[/C][C]1327.28522815911[/C][C]36.6706629707938[/C][/ROW]
[ROW][C]0.78[/C][C]1337.52665783179[/C][C]39.6338401968479[/C][/ROW]
[ROW][C]0.79[/C][C]1348.56771709938[/C][C]41.7525808479733[/C][/ROW]
[ROW][C]0.8[/C][C]1360.2044850902[/C][C]42.8613827395583[/C][/ROW]
[ROW][C]0.81[/C][C]1372.22601556566[/C][C]43.0083946685422[/C][/ROW]
[ROW][C]0.82[/C][C]1384.46497971592[/C][C]42.4660513567181[/C][/ROW]
[ROW][C]0.83[/C][C]1396.83401814202[/C][C]41.6493079754042[/C][/ROW]
[ROW][C]0.84[/C][C]1409.32705867496[/C][C]40.9364162198616[/C][/ROW]
[ROW][C]0.85[/C][C]1421.97760373588[/C][C]40.4639879104672[/C][/ROW]
[ROW][C]0.86[/C][C]1434.78842238009[/C][C]40.0109629948128[/C][/ROW]
[ROW][C]0.87[/C][C]1447.6681480348[/C][C]39.1184421147409[/C][/ROW]
[ROW][C]0.88[/C][C]1460.41541359509[/C][C]37.3573074671673[/C][/ROW]
[ROW][C]0.89[/C][C]1472.77227562918[/C][C]34.6082109978181[/C][/ROW]
[ROW][C]0.9[/C][C]1484.53327634566[/C][C]31.1857421576607[/C][/ROW]
[ROW][C]0.91[/C][C]1495.66748097163[/C][C]27.7508512859135[/C][/ROW]
[ROW][C]0.92[/C][C]1506.41351327416[/C][C]25.0773626318145[/C][/ROW]
[ROW][C]0.93[/C][C]1517.34745296637[/C][C]23.8399330135795[/C][/ROW]
[ROW][C]0.94[/C][C]1529.46100649392[/C][C]24.6144056776814[/C][/ROW]
[ROW][C]0.95[/C][C]1544.22288006131[/C][C]27.9971801806753[/C][/ROW]
[ROW][C]0.96[/C][C]1563.32941782017[/C][C]33.8845188681575[/C][/ROW]
[ROW][C]0.97[/C][C]1587.56225533266[/C][C]39.2474726249088[/C][/ROW]
[ROW][C]0.98[/C][C]1614.67826855253[/C][C]37.1511703937401[/C][/ROW]
[ROW][C]0.99[/C][C]1638.15491191438[/C][C]23.1668309898899[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123138&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123138&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
0.01870.57682062166316.4839021925058
0.02884.82415162397615.934240470267
0.03898.10400009194718.6776035205245
0.04910.7849722218921.9087502107492
0.05923.42857027190624.329935422739
0.06936.01977293888226.0566410523152
0.07948.5191771765727.9477592874279
0.08961.11705194519430.7750927812517
0.09974.12656810657634.4853468715191
0.1987.74245042879638.1842230772637
0.111001.8693120397240.751753828996
0.121016.1190474761541.4558252216441
0.131029.9514854056140.1927187945558
0.141042.8595425559737.3985463251018
0.151054.5056083895733.7842330586903
0.161064.7683302800430.0542142785091
0.171073.7115133252626.7129520470079
0.181081.5132839115523.9996914198524
0.191088.3932582368421.9287554895065
0.21094.5604048350320.3935981914039
0.211100.1874208620219.2604631996359
0.221105.4062629560918.4163892758028
0.231110.3155147168217.7936077589614
0.241114.9913074258717.3606701664886
0.251119.4964676506817.1096683855201
0.261123.8854457786417.0369370461146
0.271128.2047690761417.122075833736
0.281132.4903229009417.3153610093868
0.291136.7637125615817.5452801507985
0.31141.0301147878417.7280717968339
0.311145.2792964443317.7993394730007
0.321149.4901258423517.7227883527808
0.331153.6375194712117.5041363002145
0.341157.6999521157117.1877746492372
0.351161.6656809108316.8340750254822
0.361165.5365197296116.5187291119313
0.371169.3288890306816.3088040885645
0.381173.0725105072916.2571043333158
0.391176.8073221252716.4071287453888
0.41180.5790691911316.777229942695
0.411184.4338628123517.3599231946497
0.421188.4120296883918.1135973755815
0.431192.541854932918.9667694668454
0.441196.834181986119.8161036759469
0.451201.279020665220.5580461548473
0.461205.8451256246421.08528927774
0.471210.4829200365621.3211988377575
0.481215.1303274893521.2279784930448
0.491219.7203306252520.8032188064467
0.51224.1886738598920.0859179432512
0.511228.4802101488219.1334759544956
0.521232.552910166618.0215840608906
0.531236.3793007475316.821507198276
0.541239.9458070554115.5923265511377
0.551243.2509113220114.3845392909714
0.561246.3031022251313.2317877935782
0.571249.1193089643112.167084355257
0.581251.7240427484411.2207039665823
0.591254.1490063674810.4238258022192
0.61256.432659181829.80731072384734
0.611258.619238842189.4033866517706
0.621260.757028307069.22531528336444
0.631262.896095889139.27365523951273
0.641265.086142475939.53548514969567
0.651267.375286717499.98824863273837
0.661269.8105079307610.6128095023145
0.671272.4400679771911.4154744371351
0.681275.3176703568412.418234301719
0.691278.5075480218813.6704553271543
0.71282.0892217243515.2386047710391
0.711286.1603793410417.196820442654
0.721290.8361895927919.605844844627
0.731296.2434283452922.48907181713
0.741302.5082513189525.8067554885885
0.751309.7376066239529.4356931240696
0.761317.996381553333.1591378473671
0.771327.2852281591136.6706629707938
0.781337.5266578317939.6338401968479
0.791348.5677170993841.7525808479733
0.81360.204485090242.8613827395583
0.811372.2260155656643.0083946685422
0.821384.4649797159242.4660513567181
0.831396.8340181420241.6493079754042
0.841409.3270586749640.9364162198616
0.851421.9776037358840.4639879104672
0.861434.7884223800940.0109629948128
0.871447.668148034839.1184421147409
0.881460.4154135950937.3573074671673
0.891472.7722756291834.6082109978181
0.91484.5332763456631.1857421576607
0.911495.6674809716327.7508512859135
0.921506.4135132741625.0773626318145
0.931517.3474529663723.8399330135795
0.941529.4610064939224.6144056776814
0.951544.2228800613127.9971801806753
0.961563.3294178201733.8845188681575
0.971587.5622553326639.2474726249088
0.981614.6782685525337.1511703937401
0.991638.1549119143823.1668309898899


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')