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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 computationWed, 10 Aug 2016 17:19:14 +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/10/t1470845983k1gq526747fu9mh.htm/, Retrieved Tue, 30 Apr 2024 04:42:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296226, Retrieved Tue, 30 Apr 2024 04:42:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact97

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 A Stap 12] [2016-08-10 16:19:14] [efea2b8bc7c91838390b884e612c3e3f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
40927
40856
40778
40635
42103
42032
40927
40194
40265
40265
40336
40486
40856
40414
40856
40486
41661
42181
39973
39381
39894
39823
39381
39453
40336
40194
40336
40336
41298
41440
38790
38790
39823
39310
38427
38790
39674
39232
39161
38206
39602
39894
37023
36952
38427
37615
36218
36810
37465
37615
37173
36290
38128
38128
34893
34673
35556
33939
32314
32835
33939
33055
32464
31210
32906
32977
29743
29664
30256
28418
26430
27235
28339
27164
27093
25910
27826
28197
24585
23780
24293
22305
20246
20909
22156
20688
20909
20026
21864
22084
17668
17375
18180
16050
14134
14797
16414
14504
14355
12880
14504
15017
10451
10451
11113
9347
7359
8392
10230
8242
9055
7950
9717
10308
5592
5229
5963
4196
2800
3384

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=296226&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=296226&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296226&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
0.013305.56029527015782.696834988891
0.024132.575955617991050.10643528299
0.035000.970291120271184.21035182678
0.045825.5579319881277.33578266425
0.056595.201494360091326.88856543234
0.067302.598558325381296.92273943022
0.077937.276775152241220.43016187861
0.088500.960322310171158.44027513474
0.099011.726883742091147.53770109536
0.19496.331537914741199.45684237609
0.119982.03616699121316.23399528084
0.1210491.62680814451487.37763204195
0.1311039.68028951791682.86333596343
0.1411629.64991902871861.19277841588
0.1512253.80507367811988.26903305847
0.1612897.34160275782053.59819503704
0.1713545.16699907712073.95682676923
0.1814187.94930950842082.846122963
0.1914824.5515174852111.99018704979
0.215460.24661762782175.46581639127
0.2116102.34616246982265.60542471925
0.2216755.77814961012360.94498751722
0.2317420.58581598042438.23253102947
0.2418092.0019257212481.89785527572
0.2518762.53020256192488.65398173618
0.2619424.82297907172467.04744584374
0.2720074.13300109592433.44452034878
0.2820709.53179010552406.08356541904
0.2921333.66304041542398.40396646079
0.321951.32300693242414.96553129122
0.3122567.49495629142450.5075807046
0.3223185.55277089272492.7989578366
0.3323806.20277641182527.52595057053
0.3424427.42712154282543.26741561725
0.3525045.33865289792534.83547098892
0.3625655.57132332952504.56686872609
0.3726254.69482657292460.85306275855
0.3826841.1852549922415.08498261169
0.3927415.67391799972377.9128658078
0.427980.45890949342355.46772550488
0.4128538.50728745752347.61706597659
0.4229092.32271443932348.63611423063
0.4329643.06433380582349.48817905658
0.4430190.18472412532341.07727200915
0.4530731.65659785932317.3555001291
0.4631264.65150509252276.88350252213
0.4731786.38994120022222.63489745859
0.4832294.8467622342160.64506271222
0.4932789.07445535272097.30953980252
0.533269.06437481952036.95737090738
0.5133735.2404752091980.329396053
0.5234187.80666732321924.28277401804
0.5334626.2050656751863.69304260066
0.5435048.8825223291792.90195910701
0.5535453.43781120281708.46936419711
0.5635837.08378548141609.6915963841
0.5736197.25894140991499.32831878675
0.5836532.19174367391382.35354531666
0.5936841.25990017431265.13937415176
0.637125.07089327771153.34939156678
0.6137385.2826053581051.4516956081
0.6237624.2509397857961.600616827076
0.6337844.617942863884.01163810943
0.6438048.9411695676817.563717304764
0.6538239.4286316621759.998814296199
0.6638417.8028521843708.897759148146
0.6738585.2858981078662.161187674017
0.6838742.6788256343618.042025549897
0.6938890.5005890879575.55406600442
0.739029.1484262289534.523827136911
0.7139159.0423218446495.326542310207
0.7239280.7219525848458.711173938781
0.7339394.8769880656425.389469744225
0.7439502.3086001323395.796210461038
0.7539603.835954342369.798581068056
0.7639700.1716637873346.855034602708
0.7739791.7951913278325.802074079766
0.7839878.8578413581305.328246426783
0.7939961.1597523834283.998821921554
0.840038.241550296260.885437902256
0.8140109.6166847956236.011134435692
0.8240175.1243863286210.644085396918
0.8340235.3145457401187.601282347461
0.8440291.712591489170.608838449557
0.8540346.7928001971163.060925284078
0.8640403.5444184199166.076590166316
0.8740464.6621771018177.068815084433
0.8840531.6229680414190.189479728875
0.8940604.1647799476198.779416139411
0.940680.8039404135198.84202839133
0.9140760.749327824193.030217537293
0.9240846.702804865192.666308333167
0.9340946.8503295195213.411697156862
0.9441073.8793983475260.279257139225
0.9541240.1071797321319.090667950322
0.9641449.7015493404364.297235224983
0.9741689.3184320883364.550173763266
0.9841921.8890089291286.357661766982
0.9942097.9880167043147.734685373033

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3305.56029527015 & 782.696834988891 \tabularnewline
0.02 & 4132.57595561799 & 1050.10643528299 \tabularnewline
0.03 & 5000.97029112027 & 1184.21035182678 \tabularnewline
0.04 & 5825.557931988 & 1277.33578266425 \tabularnewline
0.05 & 6595.20149436009 & 1326.88856543234 \tabularnewline
0.06 & 7302.59855832538 & 1296.92273943022 \tabularnewline
0.07 & 7937.27677515224 & 1220.43016187861 \tabularnewline
0.08 & 8500.96032231017 & 1158.44027513474 \tabularnewline
0.09 & 9011.72688374209 & 1147.53770109536 \tabularnewline
0.1 & 9496.33153791474 & 1199.45684237609 \tabularnewline
0.11 & 9982.0361669912 & 1316.23399528084 \tabularnewline
0.12 & 10491.6268081445 & 1487.37763204195 \tabularnewline
0.13 & 11039.6802895179 & 1682.86333596343 \tabularnewline
0.14 & 11629.6499190287 & 1861.19277841588 \tabularnewline
0.15 & 12253.8050736781 & 1988.26903305847 \tabularnewline
0.16 & 12897.3416027578 & 2053.59819503704 \tabularnewline
0.17 & 13545.1669990771 & 2073.95682676923 \tabularnewline
0.18 & 14187.9493095084 & 2082.846122963 \tabularnewline
0.19 & 14824.551517485 & 2111.99018704979 \tabularnewline
0.2 & 15460.2466176278 & 2175.46581639127 \tabularnewline
0.21 & 16102.3461624698 & 2265.60542471925 \tabularnewline
0.22 & 16755.7781496101 & 2360.94498751722 \tabularnewline
0.23 & 17420.5858159804 & 2438.23253102947 \tabularnewline
0.24 & 18092.001925721 & 2481.89785527572 \tabularnewline
0.25 & 18762.5302025619 & 2488.65398173618 \tabularnewline
0.26 & 19424.8229790717 & 2467.04744584374 \tabularnewline
0.27 & 20074.1330010959 & 2433.44452034878 \tabularnewline
0.28 & 20709.5317901055 & 2406.08356541904 \tabularnewline
0.29 & 21333.6630404154 & 2398.40396646079 \tabularnewline
0.3 & 21951.3230069324 & 2414.96553129122 \tabularnewline
0.31 & 22567.4949562914 & 2450.5075807046 \tabularnewline
0.32 & 23185.5527708927 & 2492.7989578366 \tabularnewline
0.33 & 23806.2027764118 & 2527.52595057053 \tabularnewline
0.34 & 24427.4271215428 & 2543.26741561725 \tabularnewline
0.35 & 25045.3386528979 & 2534.83547098892 \tabularnewline
0.36 & 25655.5713233295 & 2504.56686872609 \tabularnewline
0.37 & 26254.6948265729 & 2460.85306275855 \tabularnewline
0.38 & 26841.185254992 & 2415.08498261169 \tabularnewline
0.39 & 27415.6739179997 & 2377.9128658078 \tabularnewline
0.4 & 27980.4589094934 & 2355.46772550488 \tabularnewline
0.41 & 28538.5072874575 & 2347.61706597659 \tabularnewline
0.42 & 29092.3227144393 & 2348.63611423063 \tabularnewline
0.43 & 29643.0643338058 & 2349.48817905658 \tabularnewline
0.44 & 30190.1847241253 & 2341.07727200915 \tabularnewline
0.45 & 30731.6565978593 & 2317.3555001291 \tabularnewline
0.46 & 31264.6515050925 & 2276.88350252213 \tabularnewline
0.47 & 31786.3899412002 & 2222.63489745859 \tabularnewline
0.48 & 32294.846762234 & 2160.64506271222 \tabularnewline
0.49 & 32789.0744553527 & 2097.30953980252 \tabularnewline
0.5 & 33269.0643748195 & 2036.95737090738 \tabularnewline
0.51 & 33735.240475209 & 1980.329396053 \tabularnewline
0.52 & 34187.8066673232 & 1924.28277401804 \tabularnewline
0.53 & 34626.205065675 & 1863.69304260066 \tabularnewline
0.54 & 35048.882522329 & 1792.90195910701 \tabularnewline
0.55 & 35453.4378112028 & 1708.46936419711 \tabularnewline
0.56 & 35837.0837854814 & 1609.6915963841 \tabularnewline
0.57 & 36197.2589414099 & 1499.32831878675 \tabularnewline
0.58 & 36532.1917436739 & 1382.35354531666 \tabularnewline
0.59 & 36841.2599001743 & 1265.13937415176 \tabularnewline
0.6 & 37125.0708932777 & 1153.34939156678 \tabularnewline
0.61 & 37385.282605358 & 1051.4516956081 \tabularnewline
0.62 & 37624.2509397857 & 961.600616827076 \tabularnewline
0.63 & 37844.617942863 & 884.01163810943 \tabularnewline
0.64 & 38048.9411695676 & 817.563717304764 \tabularnewline
0.65 & 38239.4286316621 & 759.998814296199 \tabularnewline
0.66 & 38417.8028521843 & 708.897759148146 \tabularnewline
0.67 & 38585.2858981078 & 662.161187674017 \tabularnewline
0.68 & 38742.6788256343 & 618.042025549897 \tabularnewline
0.69 & 38890.5005890879 & 575.55406600442 \tabularnewline
0.7 & 39029.1484262289 & 534.523827136911 \tabularnewline
0.71 & 39159.0423218446 & 495.326542310207 \tabularnewline
0.72 & 39280.7219525848 & 458.711173938781 \tabularnewline
0.73 & 39394.8769880656 & 425.389469744225 \tabularnewline
0.74 & 39502.3086001323 & 395.796210461038 \tabularnewline
0.75 & 39603.835954342 & 369.798581068056 \tabularnewline
0.76 & 39700.1716637873 & 346.855034602708 \tabularnewline
0.77 & 39791.7951913278 & 325.802074079766 \tabularnewline
0.78 & 39878.8578413581 & 305.328246426783 \tabularnewline
0.79 & 39961.1597523834 & 283.998821921554 \tabularnewline
0.8 & 40038.241550296 & 260.885437902256 \tabularnewline
0.81 & 40109.6166847956 & 236.011134435692 \tabularnewline
0.82 & 40175.1243863286 & 210.644085396918 \tabularnewline
0.83 & 40235.3145457401 & 187.601282347461 \tabularnewline
0.84 & 40291.712591489 & 170.608838449557 \tabularnewline
0.85 & 40346.7928001971 & 163.060925284078 \tabularnewline
0.86 & 40403.5444184199 & 166.076590166316 \tabularnewline
0.87 & 40464.6621771018 & 177.068815084433 \tabularnewline
0.88 & 40531.6229680414 & 190.189479728875 \tabularnewline
0.89 & 40604.1647799476 & 198.779416139411 \tabularnewline
0.9 & 40680.8039404135 & 198.84202839133 \tabularnewline
0.91 & 40760.749327824 & 193.030217537293 \tabularnewline
0.92 & 40846.702804865 & 192.666308333167 \tabularnewline
0.93 & 40946.8503295195 & 213.411697156862 \tabularnewline
0.94 & 41073.8793983475 & 260.279257139225 \tabularnewline
0.95 & 41240.1071797321 & 319.090667950322 \tabularnewline
0.96 & 41449.7015493404 & 364.297235224983 \tabularnewline
0.97 & 41689.3184320883 & 364.550173763266 \tabularnewline
0.98 & 41921.8890089291 & 286.357661766982 \tabularnewline
0.99 & 42097.9880167043 & 147.734685373033 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296226&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]3305.56029527015[/C][C]782.696834988891[/C][/ROW]
[ROW][C]0.02[/C][C]4132.57595561799[/C][C]1050.10643528299[/C][/ROW]
[ROW][C]0.03[/C][C]5000.97029112027[/C][C]1184.21035182678[/C][/ROW]
[ROW][C]0.04[/C][C]5825.557931988[/C][C]1277.33578266425[/C][/ROW]
[ROW][C]0.05[/C][C]6595.20149436009[/C][C]1326.88856543234[/C][/ROW]
[ROW][C]0.06[/C][C]7302.59855832538[/C][C]1296.92273943022[/C][/ROW]
[ROW][C]0.07[/C][C]7937.27677515224[/C][C]1220.43016187861[/C][/ROW]
[ROW][C]0.08[/C][C]8500.96032231017[/C][C]1158.44027513474[/C][/ROW]
[ROW][C]0.09[/C][C]9011.72688374209[/C][C]1147.53770109536[/C][/ROW]
[ROW][C]0.1[/C][C]9496.33153791474[/C][C]1199.45684237609[/C][/ROW]
[ROW][C]0.11[/C][C]9982.0361669912[/C][C]1316.23399528084[/C][/ROW]
[ROW][C]0.12[/C][C]10491.6268081445[/C][C]1487.37763204195[/C][/ROW]
[ROW][C]0.13[/C][C]11039.6802895179[/C][C]1682.86333596343[/C][/ROW]
[ROW][C]0.14[/C][C]11629.6499190287[/C][C]1861.19277841588[/C][/ROW]
[ROW][C]0.15[/C][C]12253.8050736781[/C][C]1988.26903305847[/C][/ROW]
[ROW][C]0.16[/C][C]12897.3416027578[/C][C]2053.59819503704[/C][/ROW]
[ROW][C]0.17[/C][C]13545.1669990771[/C][C]2073.95682676923[/C][/ROW]
[ROW][C]0.18[/C][C]14187.9493095084[/C][C]2082.846122963[/C][/ROW]
[ROW][C]0.19[/C][C]14824.551517485[/C][C]2111.99018704979[/C][/ROW]
[ROW][C]0.2[/C][C]15460.2466176278[/C][C]2175.46581639127[/C][/ROW]
[ROW][C]0.21[/C][C]16102.3461624698[/C][C]2265.60542471925[/C][/ROW]
[ROW][C]0.22[/C][C]16755.7781496101[/C][C]2360.94498751722[/C][/ROW]
[ROW][C]0.23[/C][C]17420.5858159804[/C][C]2438.23253102947[/C][/ROW]
[ROW][C]0.24[/C][C]18092.001925721[/C][C]2481.89785527572[/C][/ROW]
[ROW][C]0.25[/C][C]18762.5302025619[/C][C]2488.65398173618[/C][/ROW]
[ROW][C]0.26[/C][C]19424.8229790717[/C][C]2467.04744584374[/C][/ROW]
[ROW][C]0.27[/C][C]20074.1330010959[/C][C]2433.44452034878[/C][/ROW]
[ROW][C]0.28[/C][C]20709.5317901055[/C][C]2406.08356541904[/C][/ROW]
[ROW][C]0.29[/C][C]21333.6630404154[/C][C]2398.40396646079[/C][/ROW]
[ROW][C]0.3[/C][C]21951.3230069324[/C][C]2414.96553129122[/C][/ROW]
[ROW][C]0.31[/C][C]22567.4949562914[/C][C]2450.5075807046[/C][/ROW]
[ROW][C]0.32[/C][C]23185.5527708927[/C][C]2492.7989578366[/C][/ROW]
[ROW][C]0.33[/C][C]23806.2027764118[/C][C]2527.52595057053[/C][/ROW]
[ROW][C]0.34[/C][C]24427.4271215428[/C][C]2543.26741561725[/C][/ROW]
[ROW][C]0.35[/C][C]25045.3386528979[/C][C]2534.83547098892[/C][/ROW]
[ROW][C]0.36[/C][C]25655.5713233295[/C][C]2504.56686872609[/C][/ROW]
[ROW][C]0.37[/C][C]26254.6948265729[/C][C]2460.85306275855[/C][/ROW]
[ROW][C]0.38[/C][C]26841.185254992[/C][C]2415.08498261169[/C][/ROW]
[ROW][C]0.39[/C][C]27415.6739179997[/C][C]2377.9128658078[/C][/ROW]
[ROW][C]0.4[/C][C]27980.4589094934[/C][C]2355.46772550488[/C][/ROW]
[ROW][C]0.41[/C][C]28538.5072874575[/C][C]2347.61706597659[/C][/ROW]
[ROW][C]0.42[/C][C]29092.3227144393[/C][C]2348.63611423063[/C][/ROW]
[ROW][C]0.43[/C][C]29643.0643338058[/C][C]2349.48817905658[/C][/ROW]
[ROW][C]0.44[/C][C]30190.1847241253[/C][C]2341.07727200915[/C][/ROW]
[ROW][C]0.45[/C][C]30731.6565978593[/C][C]2317.3555001291[/C][/ROW]
[ROW][C]0.46[/C][C]31264.6515050925[/C][C]2276.88350252213[/C][/ROW]
[ROW][C]0.47[/C][C]31786.3899412002[/C][C]2222.63489745859[/C][/ROW]
[ROW][C]0.48[/C][C]32294.846762234[/C][C]2160.64506271222[/C][/ROW]
[ROW][C]0.49[/C][C]32789.0744553527[/C][C]2097.30953980252[/C][/ROW]
[ROW][C]0.5[/C][C]33269.0643748195[/C][C]2036.95737090738[/C][/ROW]
[ROW][C]0.51[/C][C]33735.240475209[/C][C]1980.329396053[/C][/ROW]
[ROW][C]0.52[/C][C]34187.8066673232[/C][C]1924.28277401804[/C][/ROW]
[ROW][C]0.53[/C][C]34626.205065675[/C][C]1863.69304260066[/C][/ROW]
[ROW][C]0.54[/C][C]35048.882522329[/C][C]1792.90195910701[/C][/ROW]
[ROW][C]0.55[/C][C]35453.4378112028[/C][C]1708.46936419711[/C][/ROW]
[ROW][C]0.56[/C][C]35837.0837854814[/C][C]1609.6915963841[/C][/ROW]
[ROW][C]0.57[/C][C]36197.2589414099[/C][C]1499.32831878675[/C][/ROW]
[ROW][C]0.58[/C][C]36532.1917436739[/C][C]1382.35354531666[/C][/ROW]
[ROW][C]0.59[/C][C]36841.2599001743[/C][C]1265.13937415176[/C][/ROW]
[ROW][C]0.6[/C][C]37125.0708932777[/C][C]1153.34939156678[/C][/ROW]
[ROW][C]0.61[/C][C]37385.282605358[/C][C]1051.4516956081[/C][/ROW]
[ROW][C]0.62[/C][C]37624.2509397857[/C][C]961.600616827076[/C][/ROW]
[ROW][C]0.63[/C][C]37844.617942863[/C][C]884.01163810943[/C][/ROW]
[ROW][C]0.64[/C][C]38048.9411695676[/C][C]817.563717304764[/C][/ROW]
[ROW][C]0.65[/C][C]38239.4286316621[/C][C]759.998814296199[/C][/ROW]
[ROW][C]0.66[/C][C]38417.8028521843[/C][C]708.897759148146[/C][/ROW]
[ROW][C]0.67[/C][C]38585.2858981078[/C][C]662.161187674017[/C][/ROW]
[ROW][C]0.68[/C][C]38742.6788256343[/C][C]618.042025549897[/C][/ROW]
[ROW][C]0.69[/C][C]38890.5005890879[/C][C]575.55406600442[/C][/ROW]
[ROW][C]0.7[/C][C]39029.1484262289[/C][C]534.523827136911[/C][/ROW]
[ROW][C]0.71[/C][C]39159.0423218446[/C][C]495.326542310207[/C][/ROW]
[ROW][C]0.72[/C][C]39280.7219525848[/C][C]458.711173938781[/C][/ROW]
[ROW][C]0.73[/C][C]39394.8769880656[/C][C]425.389469744225[/C][/ROW]
[ROW][C]0.74[/C][C]39502.3086001323[/C][C]395.796210461038[/C][/ROW]
[ROW][C]0.75[/C][C]39603.835954342[/C][C]369.798581068056[/C][/ROW]
[ROW][C]0.76[/C][C]39700.1716637873[/C][C]346.855034602708[/C][/ROW]
[ROW][C]0.77[/C][C]39791.7951913278[/C][C]325.802074079766[/C][/ROW]
[ROW][C]0.78[/C][C]39878.8578413581[/C][C]305.328246426783[/C][/ROW]
[ROW][C]0.79[/C][C]39961.1597523834[/C][C]283.998821921554[/C][/ROW]
[ROW][C]0.8[/C][C]40038.241550296[/C][C]260.885437902256[/C][/ROW]
[ROW][C]0.81[/C][C]40109.6166847956[/C][C]236.011134435692[/C][/ROW]
[ROW][C]0.82[/C][C]40175.1243863286[/C][C]210.644085396918[/C][/ROW]
[ROW][C]0.83[/C][C]40235.3145457401[/C][C]187.601282347461[/C][/ROW]
[ROW][C]0.84[/C][C]40291.712591489[/C][C]170.608838449557[/C][/ROW]
[ROW][C]0.85[/C][C]40346.7928001971[/C][C]163.060925284078[/C][/ROW]
[ROW][C]0.86[/C][C]40403.5444184199[/C][C]166.076590166316[/C][/ROW]
[ROW][C]0.87[/C][C]40464.6621771018[/C][C]177.068815084433[/C][/ROW]
[ROW][C]0.88[/C][C]40531.6229680414[/C][C]190.189479728875[/C][/ROW]
[ROW][C]0.89[/C][C]40604.1647799476[/C][C]198.779416139411[/C][/ROW]
[ROW][C]0.9[/C][C]40680.8039404135[/C][C]198.84202839133[/C][/ROW]
[ROW][C]0.91[/C][C]40760.749327824[/C][C]193.030217537293[/C][/ROW]
[ROW][C]0.92[/C][C]40846.702804865[/C][C]192.666308333167[/C][/ROW]
[ROW][C]0.93[/C][C]40946.8503295195[/C][C]213.411697156862[/C][/ROW]
[ROW][C]0.94[/C][C]41073.8793983475[/C][C]260.279257139225[/C][/ROW]
[ROW][C]0.95[/C][C]41240.1071797321[/C][C]319.090667950322[/C][/ROW]
[ROW][C]0.96[/C][C]41449.7015493404[/C][C]364.297235224983[/C][/ROW]
[ROW][C]0.97[/C][C]41689.3184320883[/C][C]364.550173763266[/C][/ROW]
[ROW][C]0.98[/C][C]41921.8890089291[/C][C]286.357661766982[/C][/ROW]
[ROW][C]0.99[/C][C]42097.9880167043[/C][C]147.734685373033[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296226&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296226&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
0.013305.56029527015782.696834988891
0.024132.575955617991050.10643528299
0.035000.970291120271184.21035182678
0.045825.5579319881277.33578266425
0.056595.201494360091326.88856543234
0.067302.598558325381296.92273943022
0.077937.276775152241220.43016187861
0.088500.960322310171158.44027513474
0.099011.726883742091147.53770109536
0.19496.331537914741199.45684237609
0.119982.03616699121316.23399528084
0.1210491.62680814451487.37763204195
0.1311039.68028951791682.86333596343
0.1411629.64991902871861.19277841588
0.1512253.80507367811988.26903305847
0.1612897.34160275782053.59819503704
0.1713545.16699907712073.95682676923
0.1814187.94930950842082.846122963
0.1914824.5515174852111.99018704979
0.215460.24661762782175.46581639127
0.2116102.34616246982265.60542471925
0.2216755.77814961012360.94498751722
0.2317420.58581598042438.23253102947
0.2418092.0019257212481.89785527572
0.2518762.53020256192488.65398173618
0.2619424.82297907172467.04744584374
0.2720074.13300109592433.44452034878
0.2820709.53179010552406.08356541904
0.2921333.66304041542398.40396646079
0.321951.32300693242414.96553129122
0.3122567.49495629142450.5075807046
0.3223185.55277089272492.7989578366
0.3323806.20277641182527.52595057053
0.3424427.42712154282543.26741561725
0.3525045.33865289792534.83547098892
0.3625655.57132332952504.56686872609
0.3726254.69482657292460.85306275855
0.3826841.1852549922415.08498261169
0.3927415.67391799972377.9128658078
0.427980.45890949342355.46772550488
0.4128538.50728745752347.61706597659
0.4229092.32271443932348.63611423063
0.4329643.06433380582349.48817905658
0.4430190.18472412532341.07727200915
0.4530731.65659785932317.3555001291
0.4631264.65150509252276.88350252213
0.4731786.38994120022222.63489745859
0.4832294.8467622342160.64506271222
0.4932789.07445535272097.30953980252
0.533269.06437481952036.95737090738
0.5133735.2404752091980.329396053
0.5234187.80666732321924.28277401804
0.5334626.2050656751863.69304260066
0.5435048.8825223291792.90195910701
0.5535453.43781120281708.46936419711
0.5635837.08378548141609.6915963841
0.5736197.25894140991499.32831878675
0.5836532.19174367391382.35354531666
0.5936841.25990017431265.13937415176
0.637125.07089327771153.34939156678
0.6137385.2826053581051.4516956081
0.6237624.2509397857961.600616827076
0.6337844.617942863884.01163810943
0.6438048.9411695676817.563717304764
0.6538239.4286316621759.998814296199
0.6638417.8028521843708.897759148146
0.6738585.2858981078662.161187674017
0.6838742.6788256343618.042025549897
0.6938890.5005890879575.55406600442
0.739029.1484262289534.523827136911
0.7139159.0423218446495.326542310207
0.7239280.7219525848458.711173938781
0.7339394.8769880656425.389469744225
0.7439502.3086001323395.796210461038
0.7539603.835954342369.798581068056
0.7639700.1716637873346.855034602708
0.7739791.7951913278325.802074079766
0.7839878.8578413581305.328246426783
0.7939961.1597523834283.998821921554
0.840038.241550296260.885437902256
0.8140109.6166847956236.011134435692
0.8240175.1243863286210.644085396918
0.8340235.3145457401187.601282347461
0.8440291.712591489170.608838449557
0.8540346.7928001971163.060925284078
0.8640403.5444184199166.076590166316
0.8740464.6621771018177.068815084433
0.8840531.6229680414190.189479728875
0.8940604.1647799476198.779416139411
0.940680.8039404135198.84202839133
0.9140760.749327824193.030217537293
0.9240846.702804865192.666308333167
0.9340946.8503295195213.411697156862
0.9441073.8793983475260.279257139225
0.9541240.1071797321319.090667950322
0.9641449.7015493404364.297235224983
0.9741689.3184320883364.550173763266
0.9841921.8890089291286.357661766982
0.9942097.9880167043147.734685373033


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 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')