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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, 12 Aug 2016 09:24:51 +0100
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/Aug/12/t1470990315fcmlbca90gmvfay.htm/, Retrieved Sun, 05 May 2024 15:07:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296401, Retrieved Sun, 05 May 2024 15:07:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact105

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] [Reeks B stap 7] [2016-08-12 08:24:51] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1410
1425
1380
1395
1395
1350
1410
1260
1335
1275
1245
1410
1440
1350
1410
1380
1395
1455
1395
1170
1215
1305
1080
1320
1380
1380
1425
1425
1335
1440
1170
1170
1140
1290
1110
1530
1335
1560
1380
1350
1425
1485
1260
1110
1260
1440
1185
1515
1350
1455
1380
1470
1335
1500
1320
1110
1290
1410
1140
1515
1305
1470
1380
1425
1320
1470
1365
1095
1320
1230
1035
1485
1200
1440
1365
1425
1410
1515
1335
990
1290
1260
1110
1470
1230
1620
1395
1455
1395
1515
1320
1110
1290
1215
1125
1335
1185
1500
1335
1455
1350
1485
1365
1095
1275
1260
1245
1425

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296401&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296401&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296401&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011016.0720538766641.4052578664023
0.021049.9554237769234.3879878550826
0.031075.2654290590824.0440637208498
0.041090.8904224982315.8641607023598
0.051100.3742768755111.6962362057756
0.061106.8779215540510.7974448556606
0.071112.4509681140312.5768795224378
0.081118.3287597981516.1756580422022
0.091125.1613336982820.3813862588015
0.11133.1148660745824.1400732125608
0.111141.9981749895926.8420773992935
0.121151.447579210128.3999399916701
0.131161.1029587823329.1088120421023
0.141170.7108152956529.3810549971268
0.151180.1413839960629.5202863498519
0.161189.3488347124429.6177729638029
0.171198.3160800091829.5942546063367
0.181207.0148959267229.3116515713448
0.191215.3927664855228.6717994653032
0.21223.382127922827.6586622040266
0.211230.9205176833626.3519445936632
0.221237.9704306077524.8967755520941
0.231244.5316974097523.4625647882078
0.241250.6436718207622.2193993090101
0.251256.3779404521821.2915968021583
0.261261.8244550772820.729152703641
0.271267.0750854823820.5073574590653
0.281272.2086349185920.534414835486
0.291277.2803877151720.685559733684
0.31282.3175921312920.839735816804
0.311287.3205365451420.8973988299337
0.321292.2676687541720.7850127176952
0.331297.1228238983820.465175856467
0.341301.8429280219319.9264508233719
0.351306.3851396931219.1837649804933
0.361310.7129127792618.2777873192415
0.371314.8007448612217.2642389724082
0.381318.6374593244616.2175347223142
0.391322.227885268515.2105288706022
0.41325.5928487831214.3196543724049
0.411328.7674977378813.609188364603
0.421331.7981247158813.1280332115655
0.431334.7377951778312.9031324227258
0.441337.6412093966912.9288301637003
0.451340.5593161453513.1801199411613
0.461343.5342441838413.5951261742171
0.471346.5951165122814.1048338068385
0.481349.7552599900114.6278659417954
0.491353.0112199438715.0841809661583
0.51356.343829598415.4044178918649
0.511359.7213517944615.5396161488223
0.521363.104397446515.4622138042219
0.531366.4519626186115.1806479426002
0.541369.7276041504914.729878968557
0.551372.9046230138914.1699436475341
0.561375.9692556364913.5733416815659
0.571378.9213050915413.008845363875
0.581381.7722673120612.5290006443338
0.591384.541616968312.1613622712552
0.61387.2523010858811.9077504074516
0.611389.9265259448811.7498991346659
0.621392.5826386597311.6595661363325
0.631395.2334448767311.6073078733955
0.641397.8858571091411.5645353079697
0.651400.5414828422811.5119504918642
0.661403.1977004762111.4325698529145
0.671405.8489119375111.3184541452164
0.681408.487917605711.1650221505774
0.691411.1076030923810.9743494583974
0.71413.7032093783910.7564073185486
0.711416.2752606544310.534419406878
0.721418.8327477168910.3449514351872
0.731421.3955948951710.2392564884494
0.741423.9951179511210.2727955960215
0.751426.671440353810.4809645925375
0.761429.4677579128310.8630362748377
0.771432.4226175520311.3741286978718
0.781435.56240071711.941724593454
0.791438.8964040734512.4797010904102
0.81442.4161186850312.9160151899397
0.811446.0989019402513.2053084306197
0.821449.9149334870613.3370034207182
0.831453.8357458344613.3330241919956
0.841457.8427933609213.2359063952745
0.851461.9349854603113.1105797743479
0.861466.1342237138913.0307917728423
0.871470.4874316640213.0717803664162
0.881475.0624061666213.2840178167724
0.891479.9333078343913.6616356429921
0.91485.1509620943114.1096860977758
0.911490.6978230702214.4057692126866
0.921496.4459815605714.2161226799852
0.931502.1741332493413.2378396112159
0.941507.7392883736511.5641975341067
0.951513.4900196278410.2420058316675
0.961520.904929910811.7348593425551
0.971533.2839040902618.207919795345
0.981555.7382154758529.6024101923247
0.991590.246931569145.2979513151264

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1016.07205387666 & 41.4052578664023 \tabularnewline
0.02 & 1049.95542377692 & 34.3879878550826 \tabularnewline
0.03 & 1075.26542905908 & 24.0440637208498 \tabularnewline
0.04 & 1090.89042249823 & 15.8641607023598 \tabularnewline
0.05 & 1100.37427687551 & 11.6962362057756 \tabularnewline
0.06 & 1106.87792155405 & 10.7974448556606 \tabularnewline
0.07 & 1112.45096811403 & 12.5768795224378 \tabularnewline
0.08 & 1118.32875979815 & 16.1756580422022 \tabularnewline
0.09 & 1125.16133369828 & 20.3813862588015 \tabularnewline
0.1 & 1133.11486607458 & 24.1400732125608 \tabularnewline
0.11 & 1141.99817498959 & 26.8420773992935 \tabularnewline
0.12 & 1151.4475792101 & 28.3999399916701 \tabularnewline
0.13 & 1161.10295878233 & 29.1088120421023 \tabularnewline
0.14 & 1170.71081529565 & 29.3810549971268 \tabularnewline
0.15 & 1180.14138399606 & 29.5202863498519 \tabularnewline
0.16 & 1189.34883471244 & 29.6177729638029 \tabularnewline
0.17 & 1198.31608000918 & 29.5942546063367 \tabularnewline
0.18 & 1207.01489592672 & 29.3116515713448 \tabularnewline
0.19 & 1215.39276648552 & 28.6717994653032 \tabularnewline
0.2 & 1223.3821279228 & 27.6586622040266 \tabularnewline
0.21 & 1230.92051768336 & 26.3519445936632 \tabularnewline
0.22 & 1237.97043060775 & 24.8967755520941 \tabularnewline
0.23 & 1244.53169740975 & 23.4625647882078 \tabularnewline
0.24 & 1250.64367182076 & 22.2193993090101 \tabularnewline
0.25 & 1256.37794045218 & 21.2915968021583 \tabularnewline
0.26 & 1261.82445507728 & 20.729152703641 \tabularnewline
0.27 & 1267.07508548238 & 20.5073574590653 \tabularnewline
0.28 & 1272.20863491859 & 20.534414835486 \tabularnewline
0.29 & 1277.28038771517 & 20.685559733684 \tabularnewline
0.3 & 1282.31759213129 & 20.839735816804 \tabularnewline
0.31 & 1287.32053654514 & 20.8973988299337 \tabularnewline
0.32 & 1292.26766875417 & 20.7850127176952 \tabularnewline
0.33 & 1297.12282389838 & 20.465175856467 \tabularnewline
0.34 & 1301.84292802193 & 19.9264508233719 \tabularnewline
0.35 & 1306.38513969312 & 19.1837649804933 \tabularnewline
0.36 & 1310.71291277926 & 18.2777873192415 \tabularnewline
0.37 & 1314.80074486122 & 17.2642389724082 \tabularnewline
0.38 & 1318.63745932446 & 16.2175347223142 \tabularnewline
0.39 & 1322.2278852685 & 15.2105288706022 \tabularnewline
0.4 & 1325.59284878312 & 14.3196543724049 \tabularnewline
0.41 & 1328.76749773788 & 13.609188364603 \tabularnewline
0.42 & 1331.79812471588 & 13.1280332115655 \tabularnewline
0.43 & 1334.73779517783 & 12.9031324227258 \tabularnewline
0.44 & 1337.64120939669 & 12.9288301637003 \tabularnewline
0.45 & 1340.55931614535 & 13.1801199411613 \tabularnewline
0.46 & 1343.53424418384 & 13.5951261742171 \tabularnewline
0.47 & 1346.59511651228 & 14.1048338068385 \tabularnewline
0.48 & 1349.75525999001 & 14.6278659417954 \tabularnewline
0.49 & 1353.01121994387 & 15.0841809661583 \tabularnewline
0.5 & 1356.3438295984 & 15.4044178918649 \tabularnewline
0.51 & 1359.72135179446 & 15.5396161488223 \tabularnewline
0.52 & 1363.1043974465 & 15.4622138042219 \tabularnewline
0.53 & 1366.45196261861 & 15.1806479426002 \tabularnewline
0.54 & 1369.72760415049 & 14.729878968557 \tabularnewline
0.55 & 1372.90462301389 & 14.1699436475341 \tabularnewline
0.56 & 1375.96925563649 & 13.5733416815659 \tabularnewline
0.57 & 1378.92130509154 & 13.008845363875 \tabularnewline
0.58 & 1381.77226731206 & 12.5290006443338 \tabularnewline
0.59 & 1384.5416169683 & 12.1613622712552 \tabularnewline
0.6 & 1387.25230108588 & 11.9077504074516 \tabularnewline
0.61 & 1389.92652594488 & 11.7498991346659 \tabularnewline
0.62 & 1392.58263865973 & 11.6595661363325 \tabularnewline
0.63 & 1395.23344487673 & 11.6073078733955 \tabularnewline
0.64 & 1397.88585710914 & 11.5645353079697 \tabularnewline
0.65 & 1400.54148284228 & 11.5119504918642 \tabularnewline
0.66 & 1403.19770047621 & 11.4325698529145 \tabularnewline
0.67 & 1405.84891193751 & 11.3184541452164 \tabularnewline
0.68 & 1408.4879176057 & 11.1650221505774 \tabularnewline
0.69 & 1411.10760309238 & 10.9743494583974 \tabularnewline
0.7 & 1413.70320937839 & 10.7564073185486 \tabularnewline
0.71 & 1416.27526065443 & 10.534419406878 \tabularnewline
0.72 & 1418.83274771689 & 10.3449514351872 \tabularnewline
0.73 & 1421.39559489517 & 10.2392564884494 \tabularnewline
0.74 & 1423.99511795112 & 10.2727955960215 \tabularnewline
0.75 & 1426.6714403538 & 10.4809645925375 \tabularnewline
0.76 & 1429.46775791283 & 10.8630362748377 \tabularnewline
0.77 & 1432.42261755203 & 11.3741286978718 \tabularnewline
0.78 & 1435.562400717 & 11.941724593454 \tabularnewline
0.79 & 1438.89640407345 & 12.4797010904102 \tabularnewline
0.8 & 1442.41611868503 & 12.9160151899397 \tabularnewline
0.81 & 1446.09890194025 & 13.2053084306197 \tabularnewline
0.82 & 1449.91493348706 & 13.3370034207182 \tabularnewline
0.83 & 1453.83574583446 & 13.3330241919956 \tabularnewline
0.84 & 1457.84279336092 & 13.2359063952745 \tabularnewline
0.85 & 1461.93498546031 & 13.1105797743479 \tabularnewline
0.86 & 1466.13422371389 & 13.0307917728423 \tabularnewline
0.87 & 1470.48743166402 & 13.0717803664162 \tabularnewline
0.88 & 1475.06240616662 & 13.2840178167724 \tabularnewline
0.89 & 1479.93330783439 & 13.6616356429921 \tabularnewline
0.9 & 1485.15096209431 & 14.1096860977758 \tabularnewline
0.91 & 1490.69782307022 & 14.4057692126866 \tabularnewline
0.92 & 1496.44598156057 & 14.2161226799852 \tabularnewline
0.93 & 1502.17413324934 & 13.2378396112159 \tabularnewline
0.94 & 1507.73928837365 & 11.5641975341067 \tabularnewline
0.95 & 1513.49001962784 & 10.2420058316675 \tabularnewline
0.96 & 1520.9049299108 & 11.7348593425551 \tabularnewline
0.97 & 1533.28390409026 & 18.207919795345 \tabularnewline
0.98 & 1555.73821547585 & 29.6024101923247 \tabularnewline
0.99 & 1590.2469315691 & 45.2979513151264 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296401&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]1016.07205387666[/C][C]41.4052578664023[/C][/ROW]
[ROW][C]0.02[/C][C]1049.95542377692[/C][C]34.3879878550826[/C][/ROW]
[ROW][C]0.03[/C][C]1075.26542905908[/C][C]24.0440637208498[/C][/ROW]
[ROW][C]0.04[/C][C]1090.89042249823[/C][C]15.8641607023598[/C][/ROW]
[ROW][C]0.05[/C][C]1100.37427687551[/C][C]11.6962362057756[/C][/ROW]
[ROW][C]0.06[/C][C]1106.87792155405[/C][C]10.7974448556606[/C][/ROW]
[ROW][C]0.07[/C][C]1112.45096811403[/C][C]12.5768795224378[/C][/ROW]
[ROW][C]0.08[/C][C]1118.32875979815[/C][C]16.1756580422022[/C][/ROW]
[ROW][C]0.09[/C][C]1125.16133369828[/C][C]20.3813862588015[/C][/ROW]
[ROW][C]0.1[/C][C]1133.11486607458[/C][C]24.1400732125608[/C][/ROW]
[ROW][C]0.11[/C][C]1141.99817498959[/C][C]26.8420773992935[/C][/ROW]
[ROW][C]0.12[/C][C]1151.4475792101[/C][C]28.3999399916701[/C][/ROW]
[ROW][C]0.13[/C][C]1161.10295878233[/C][C]29.1088120421023[/C][/ROW]
[ROW][C]0.14[/C][C]1170.71081529565[/C][C]29.3810549971268[/C][/ROW]
[ROW][C]0.15[/C][C]1180.14138399606[/C][C]29.5202863498519[/C][/ROW]
[ROW][C]0.16[/C][C]1189.34883471244[/C][C]29.6177729638029[/C][/ROW]
[ROW][C]0.17[/C][C]1198.31608000918[/C][C]29.5942546063367[/C][/ROW]
[ROW][C]0.18[/C][C]1207.01489592672[/C][C]29.3116515713448[/C][/ROW]
[ROW][C]0.19[/C][C]1215.39276648552[/C][C]28.6717994653032[/C][/ROW]
[ROW][C]0.2[/C][C]1223.3821279228[/C][C]27.6586622040266[/C][/ROW]
[ROW][C]0.21[/C][C]1230.92051768336[/C][C]26.3519445936632[/C][/ROW]
[ROW][C]0.22[/C][C]1237.97043060775[/C][C]24.8967755520941[/C][/ROW]
[ROW][C]0.23[/C][C]1244.53169740975[/C][C]23.4625647882078[/C][/ROW]
[ROW][C]0.24[/C][C]1250.64367182076[/C][C]22.2193993090101[/C][/ROW]
[ROW][C]0.25[/C][C]1256.37794045218[/C][C]21.2915968021583[/C][/ROW]
[ROW][C]0.26[/C][C]1261.82445507728[/C][C]20.729152703641[/C][/ROW]
[ROW][C]0.27[/C][C]1267.07508548238[/C][C]20.5073574590653[/C][/ROW]
[ROW][C]0.28[/C][C]1272.20863491859[/C][C]20.534414835486[/C][/ROW]
[ROW][C]0.29[/C][C]1277.28038771517[/C][C]20.685559733684[/C][/ROW]
[ROW][C]0.3[/C][C]1282.31759213129[/C][C]20.839735816804[/C][/ROW]
[ROW][C]0.31[/C][C]1287.32053654514[/C][C]20.8973988299337[/C][/ROW]
[ROW][C]0.32[/C][C]1292.26766875417[/C][C]20.7850127176952[/C][/ROW]
[ROW][C]0.33[/C][C]1297.12282389838[/C][C]20.465175856467[/C][/ROW]
[ROW][C]0.34[/C][C]1301.84292802193[/C][C]19.9264508233719[/C][/ROW]
[ROW][C]0.35[/C][C]1306.38513969312[/C][C]19.1837649804933[/C][/ROW]
[ROW][C]0.36[/C][C]1310.71291277926[/C][C]18.2777873192415[/C][/ROW]
[ROW][C]0.37[/C][C]1314.80074486122[/C][C]17.2642389724082[/C][/ROW]
[ROW][C]0.38[/C][C]1318.63745932446[/C][C]16.2175347223142[/C][/ROW]
[ROW][C]0.39[/C][C]1322.2278852685[/C][C]15.2105288706022[/C][/ROW]
[ROW][C]0.4[/C][C]1325.59284878312[/C][C]14.3196543724049[/C][/ROW]
[ROW][C]0.41[/C][C]1328.76749773788[/C][C]13.609188364603[/C][/ROW]
[ROW][C]0.42[/C][C]1331.79812471588[/C][C]13.1280332115655[/C][/ROW]
[ROW][C]0.43[/C][C]1334.73779517783[/C][C]12.9031324227258[/C][/ROW]
[ROW][C]0.44[/C][C]1337.64120939669[/C][C]12.9288301637003[/C][/ROW]
[ROW][C]0.45[/C][C]1340.55931614535[/C][C]13.1801199411613[/C][/ROW]
[ROW][C]0.46[/C][C]1343.53424418384[/C][C]13.5951261742171[/C][/ROW]
[ROW][C]0.47[/C][C]1346.59511651228[/C][C]14.1048338068385[/C][/ROW]
[ROW][C]0.48[/C][C]1349.75525999001[/C][C]14.6278659417954[/C][/ROW]
[ROW][C]0.49[/C][C]1353.01121994387[/C][C]15.0841809661583[/C][/ROW]
[ROW][C]0.5[/C][C]1356.3438295984[/C][C]15.4044178918649[/C][/ROW]
[ROW][C]0.51[/C][C]1359.72135179446[/C][C]15.5396161488223[/C][/ROW]
[ROW][C]0.52[/C][C]1363.1043974465[/C][C]15.4622138042219[/C][/ROW]
[ROW][C]0.53[/C][C]1366.45196261861[/C][C]15.1806479426002[/C][/ROW]
[ROW][C]0.54[/C][C]1369.72760415049[/C][C]14.729878968557[/C][/ROW]
[ROW][C]0.55[/C][C]1372.90462301389[/C][C]14.1699436475341[/C][/ROW]
[ROW][C]0.56[/C][C]1375.96925563649[/C][C]13.5733416815659[/C][/ROW]
[ROW][C]0.57[/C][C]1378.92130509154[/C][C]13.008845363875[/C][/ROW]
[ROW][C]0.58[/C][C]1381.77226731206[/C][C]12.5290006443338[/C][/ROW]
[ROW][C]0.59[/C][C]1384.5416169683[/C][C]12.1613622712552[/C][/ROW]
[ROW][C]0.6[/C][C]1387.25230108588[/C][C]11.9077504074516[/C][/ROW]
[ROW][C]0.61[/C][C]1389.92652594488[/C][C]11.7498991346659[/C][/ROW]
[ROW][C]0.62[/C][C]1392.58263865973[/C][C]11.6595661363325[/C][/ROW]
[ROW][C]0.63[/C][C]1395.23344487673[/C][C]11.6073078733955[/C][/ROW]
[ROW][C]0.64[/C][C]1397.88585710914[/C][C]11.5645353079697[/C][/ROW]
[ROW][C]0.65[/C][C]1400.54148284228[/C][C]11.5119504918642[/C][/ROW]
[ROW][C]0.66[/C][C]1403.19770047621[/C][C]11.4325698529145[/C][/ROW]
[ROW][C]0.67[/C][C]1405.84891193751[/C][C]11.3184541452164[/C][/ROW]
[ROW][C]0.68[/C][C]1408.4879176057[/C][C]11.1650221505774[/C][/ROW]
[ROW][C]0.69[/C][C]1411.10760309238[/C][C]10.9743494583974[/C][/ROW]
[ROW][C]0.7[/C][C]1413.70320937839[/C][C]10.7564073185486[/C][/ROW]
[ROW][C]0.71[/C][C]1416.27526065443[/C][C]10.534419406878[/C][/ROW]
[ROW][C]0.72[/C][C]1418.83274771689[/C][C]10.3449514351872[/C][/ROW]
[ROW][C]0.73[/C][C]1421.39559489517[/C][C]10.2392564884494[/C][/ROW]
[ROW][C]0.74[/C][C]1423.99511795112[/C][C]10.2727955960215[/C][/ROW]
[ROW][C]0.75[/C][C]1426.6714403538[/C][C]10.4809645925375[/C][/ROW]
[ROW][C]0.76[/C][C]1429.46775791283[/C][C]10.8630362748377[/C][/ROW]
[ROW][C]0.77[/C][C]1432.42261755203[/C][C]11.3741286978718[/C][/ROW]
[ROW][C]0.78[/C][C]1435.562400717[/C][C]11.941724593454[/C][/ROW]
[ROW][C]0.79[/C][C]1438.89640407345[/C][C]12.4797010904102[/C][/ROW]
[ROW][C]0.8[/C][C]1442.41611868503[/C][C]12.9160151899397[/C][/ROW]
[ROW][C]0.81[/C][C]1446.09890194025[/C][C]13.2053084306197[/C][/ROW]
[ROW][C]0.82[/C][C]1449.91493348706[/C][C]13.3370034207182[/C][/ROW]
[ROW][C]0.83[/C][C]1453.83574583446[/C][C]13.3330241919956[/C][/ROW]
[ROW][C]0.84[/C][C]1457.84279336092[/C][C]13.2359063952745[/C][/ROW]
[ROW][C]0.85[/C][C]1461.93498546031[/C][C]13.1105797743479[/C][/ROW]
[ROW][C]0.86[/C][C]1466.13422371389[/C][C]13.0307917728423[/C][/ROW]
[ROW][C]0.87[/C][C]1470.48743166402[/C][C]13.0717803664162[/C][/ROW]
[ROW][C]0.88[/C][C]1475.06240616662[/C][C]13.2840178167724[/C][/ROW]
[ROW][C]0.89[/C][C]1479.93330783439[/C][C]13.6616356429921[/C][/ROW]
[ROW][C]0.9[/C][C]1485.15096209431[/C][C]14.1096860977758[/C][/ROW]
[ROW][C]0.91[/C][C]1490.69782307022[/C][C]14.4057692126866[/C][/ROW]
[ROW][C]0.92[/C][C]1496.44598156057[/C][C]14.2161226799852[/C][/ROW]
[ROW][C]0.93[/C][C]1502.17413324934[/C][C]13.2378396112159[/C][/ROW]
[ROW][C]0.94[/C][C]1507.73928837365[/C][C]11.5641975341067[/C][/ROW]
[ROW][C]0.95[/C][C]1513.49001962784[/C][C]10.2420058316675[/C][/ROW]
[ROW][C]0.96[/C][C]1520.9049299108[/C][C]11.7348593425551[/C][/ROW]
[ROW][C]0.97[/C][C]1533.28390409026[/C][C]18.207919795345[/C][/ROW]
[ROW][C]0.98[/C][C]1555.73821547585[/C][C]29.6024101923247[/C][/ROW]
[ROW][C]0.99[/C][C]1590.2469315691[/C][C]45.2979513151264[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296401&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296401&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
0.011016.0720538766641.4052578664023
0.021049.9554237769234.3879878550826
0.031075.2654290590824.0440637208498
0.041090.8904224982315.8641607023598
0.051100.3742768755111.6962362057756
0.061106.8779215540510.7974448556606
0.071112.4509681140312.5768795224378
0.081118.3287597981516.1756580422022
0.091125.1613336982820.3813862588015
0.11133.1148660745824.1400732125608
0.111141.9981749895926.8420773992935
0.121151.447579210128.3999399916701
0.131161.1029587823329.1088120421023
0.141170.7108152956529.3810549971268
0.151180.1413839960629.5202863498519
0.161189.3488347124429.6177729638029
0.171198.3160800091829.5942546063367
0.181207.0148959267229.3116515713448
0.191215.3927664855228.6717994653032
0.21223.382127922827.6586622040266
0.211230.9205176833626.3519445936632
0.221237.9704306077524.8967755520941
0.231244.5316974097523.4625647882078
0.241250.6436718207622.2193993090101
0.251256.3779404521821.2915968021583
0.261261.8244550772820.729152703641
0.271267.0750854823820.5073574590653
0.281272.2086349185920.534414835486
0.291277.2803877151720.685559733684
0.31282.3175921312920.839735816804
0.311287.3205365451420.8973988299337
0.321292.2676687541720.7850127176952
0.331297.1228238983820.465175856467
0.341301.8429280219319.9264508233719
0.351306.3851396931219.1837649804933
0.361310.7129127792618.2777873192415
0.371314.8007448612217.2642389724082
0.381318.6374593244616.2175347223142
0.391322.227885268515.2105288706022
0.41325.5928487831214.3196543724049
0.411328.7674977378813.609188364603
0.421331.7981247158813.1280332115655
0.431334.7377951778312.9031324227258
0.441337.6412093966912.9288301637003
0.451340.5593161453513.1801199411613
0.461343.5342441838413.5951261742171
0.471346.5951165122814.1048338068385
0.481349.7552599900114.6278659417954
0.491353.0112199438715.0841809661583
0.51356.343829598415.4044178918649
0.511359.7213517944615.5396161488223
0.521363.104397446515.4622138042219
0.531366.4519626186115.1806479426002
0.541369.7276041504914.729878968557
0.551372.9046230138914.1699436475341
0.561375.9692556364913.5733416815659
0.571378.9213050915413.008845363875
0.581381.7722673120612.5290006443338
0.591384.541616968312.1613622712552
0.61387.2523010858811.9077504074516
0.611389.9265259448811.7498991346659
0.621392.5826386597311.6595661363325
0.631395.2334448767311.6073078733955
0.641397.8858571091411.5645353079697
0.651400.5414828422811.5119504918642
0.661403.1977004762111.4325698529145
0.671405.8489119375111.3184541452164
0.681408.487917605711.1650221505774
0.691411.1076030923810.9743494583974
0.71413.7032093783910.7564073185486
0.711416.2752606544310.534419406878
0.721418.8327477168910.3449514351872
0.731421.3955948951710.2392564884494
0.741423.9951179511210.2727955960215
0.751426.671440353810.4809645925375
0.761429.4677579128310.8630362748377
0.771432.4226175520311.3741286978718
0.781435.56240071711.941724593454
0.791438.8964040734512.4797010904102
0.81442.4161186850312.9160151899397
0.811446.0989019402513.2053084306197
0.821449.9149334870613.3370034207182
0.831453.8357458344613.3330241919956
0.841457.8427933609213.2359063952745
0.851461.9349854603113.1105797743479
0.861466.1342237138913.0307917728423
0.871470.4874316640213.0717803664162
0.881475.0624061666213.2840178167724
0.891479.9333078343913.6616356429921
0.91485.1509620943114.1096860977758
0.911490.6978230702214.4057692126866
0.921496.4459815605714.2161226799852
0.931502.1741332493413.2378396112159
0.941507.7392883736511.5641975341067
0.951513.4900196278410.2420058316675
0.961520.904929910811.7348593425551
0.971533.2839040902618.207919795345
0.981555.7382154758529.6024101923247
0.991590.246931569145.2979513151264


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):
par3 <- '0.10'
par2 <- '0.90'
par1 <- '0.10'
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')