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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, 03 Aug 2011 09:22:28 -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/Aug/03/t1312377961akk9zhqr09s9ga4.htm/, Retrieved Tue, 14 May 2024 06:15:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=123333, Retrieved Tue, 14 May 2024 06:15:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVan Laer Axel
Estimated Impact140

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] [Cijferreeks B, St...] [2011-08-03 13:22:28] [3bbb4c38423daa916cf90d93c467bd86] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1220
1250
1350
1380
1310
1350
1360
1230
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1170
1420
1250
1390
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1390
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1310
1540
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1080
1370
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1380
1260
1400
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1200
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1500
1060
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1150
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1000
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1330
1180
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1540
1180
1280
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960
1420
1370
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1260

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123333&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123333&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123333&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01988.13686708614147.5447332908596
0.021032.129328411656.7359826191291
0.031075.6360309239758.4633883249871
0.041112.8392502810753.4823297607045
0.051142.3197163611644.0448069244362
0.061164.3744989494134.0998400960987
0.071180.3872373617126.4552595691977
0.081192.0802933925921.2863676470863
0.091200.8634483764117.5539736491871
0.11207.6573136922914.5779764345858
0.111213.0456719070912.2872066509041
0.121217.4614547862410.8463922019377
0.131221.269565756410.2844240787994
0.141224.763816082710.3763642948899
0.151228.14056717610.7608057212496
0.161231.4905389478111.1095443066664
0.171234.817728519411.230218652086
0.181238.0747400705311.0563774411143
0.191241.1991404559510.6305487304355
0.21244.1399321685510.0467457720024
0.211246.870542733399.40860002379434
0.221249.390570499738.81069918169957
0.231251.721148381328.31325560800763
0.241253.898464850097.9619074381397
0.251255.968046953597.78726338210324
0.261257.980328126337.8111168298653
0.271259.986791821548.04245581370665
0.281262.035892191838.46550902285373
0.291264.168664358299.03693736716094
0.31266.414781663319.69481153371022
0.311268.7901971196910.371555009294
0.321271.2971885727811.0119879400775
0.331273.9268071657511.5764711992227
0.341276.6628576608412.0519113008531
0.351279.4860491921912.4410164271432
0.361282.3770451621812.7547131705163
0.371285.3177195788312.9976097127153
0.381288.2907027605413.1737655744445
0.391291.2779416650713.2682622147378
0.41294.2592820537213.2635714387271
0.411297.211947293413.1381221981428
0.421300.1113499496412.8880499908958
0.431302.9331294851312.5158620537247
0.441305.6558694543612.0426952144819
0.451308.2637478495811.5022046280171
0.461310.7484450097910.9368700984998
0.471313.1099059232310.3846898475658
0.481315.355902310749.88522631356635
0.491317.500637065029.46372677161541
0.51319.562793816459.13478063538243
0.511321.563433704628.90629010035809
0.521323.524013716968.77275504102169
0.531325.464618604398.72361893340088
0.541327.402346702998.74469762854167
0.551329.349740175668.81062236693834
0.561331.313234378228.89418989009564
0.571333.291795515198.95649861789506
0.581335.276140986628.95806244421568
0.591337.249080491388.86286329601522
0.61339.187474729018.64272516891865
0.611341.066034039288.29474982343881
0.621342.862708096977.83808939767884
0.631344.564870808257.32672704796161
0.641346.175053920076.83815502741215
0.651347.714796881016.4712685321198
0.661349.225366394346.32799581161006
0.671350.76466262086.48374467129436
0.681352.40046403246.96925705920547
0.691354.20107397647.75022367964801
0.71356.225181495448.74382125312258
0.711358.513115326269.83787488451318
0.721361.0815033440110.9146387904828
0.731363.9226180922511.8747210001309
0.741367.0085134275312.6441107690803
0.751370.2987257430613.1918427175709
0.761373.7492473747813.5309235779384
0.771377.3201207347913.7022062703782
0.781380.9796150343613.7531393158273
0.791384.7044235912713.7222032591733
0.81388.4771132761213.6256163314089
0.811392.2833818417713.4625524025443
0.821396.1119109235413.2304466710479
0.831399.9586550674612.9525904944536
0.841403.8357763493212.6856112498148
0.851407.7838733913712.5261037812419
0.861411.885288239512.6060736541625
0.871416.2765237762613.0755121656255
0.881421.1593823235714.0843740989965
0.891426.8124252291815.7632874545869
0.91433.6024628501418.2349881914464
0.911441.9819767042721.5983247187957
0.921452.429831447825.7821156795887
0.931465.2723466362230.1884821380815
0.941480.3671348393733.3811327965799
0.951496.7830637230533.3935188018352
0.961512.7878166161928.9250482454002
0.971526.4677066106420.7209333895008
0.981536.9449246697111.9856352875991
0.991544.920514954868.05515184489511

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 988.136867086141 & 47.5447332908596 \tabularnewline
0.02 & 1032.1293284116 & 56.7359826191291 \tabularnewline
0.03 & 1075.63603092397 & 58.4633883249871 \tabularnewline
0.04 & 1112.83925028107 & 53.4823297607045 \tabularnewline
0.05 & 1142.31971636116 & 44.0448069244362 \tabularnewline
0.06 & 1164.37449894941 & 34.0998400960987 \tabularnewline
0.07 & 1180.38723736171 & 26.4552595691977 \tabularnewline
0.08 & 1192.08029339259 & 21.2863676470863 \tabularnewline
0.09 & 1200.86344837641 & 17.5539736491871 \tabularnewline
0.1 & 1207.65731369229 & 14.5779764345858 \tabularnewline
0.11 & 1213.04567190709 & 12.2872066509041 \tabularnewline
0.12 & 1217.46145478624 & 10.8463922019377 \tabularnewline
0.13 & 1221.2695657564 & 10.2844240787994 \tabularnewline
0.14 & 1224.7638160827 & 10.3763642948899 \tabularnewline
0.15 & 1228.140567176 & 10.7608057212496 \tabularnewline
0.16 & 1231.49053894781 & 11.1095443066664 \tabularnewline
0.17 & 1234.8177285194 & 11.230218652086 \tabularnewline
0.18 & 1238.07474007053 & 11.0563774411143 \tabularnewline
0.19 & 1241.19914045595 & 10.6305487304355 \tabularnewline
0.2 & 1244.13993216855 & 10.0467457720024 \tabularnewline
0.21 & 1246.87054273339 & 9.40860002379434 \tabularnewline
0.22 & 1249.39057049973 & 8.81069918169957 \tabularnewline
0.23 & 1251.72114838132 & 8.31325560800763 \tabularnewline
0.24 & 1253.89846485009 & 7.9619074381397 \tabularnewline
0.25 & 1255.96804695359 & 7.78726338210324 \tabularnewline
0.26 & 1257.98032812633 & 7.8111168298653 \tabularnewline
0.27 & 1259.98679182154 & 8.04245581370665 \tabularnewline
0.28 & 1262.03589219183 & 8.46550902285373 \tabularnewline
0.29 & 1264.16866435829 & 9.03693736716094 \tabularnewline
0.3 & 1266.41478166331 & 9.69481153371022 \tabularnewline
0.31 & 1268.79019711969 & 10.371555009294 \tabularnewline
0.32 & 1271.29718857278 & 11.0119879400775 \tabularnewline
0.33 & 1273.92680716575 & 11.5764711992227 \tabularnewline
0.34 & 1276.66285766084 & 12.0519113008531 \tabularnewline
0.35 & 1279.48604919219 & 12.4410164271432 \tabularnewline
0.36 & 1282.37704516218 & 12.7547131705163 \tabularnewline
0.37 & 1285.31771957883 & 12.9976097127153 \tabularnewline
0.38 & 1288.29070276054 & 13.1737655744445 \tabularnewline
0.39 & 1291.27794166507 & 13.2682622147378 \tabularnewline
0.4 & 1294.25928205372 & 13.2635714387271 \tabularnewline
0.41 & 1297.2119472934 & 13.1381221981428 \tabularnewline
0.42 & 1300.11134994964 & 12.8880499908958 \tabularnewline
0.43 & 1302.93312948513 & 12.5158620537247 \tabularnewline
0.44 & 1305.65586945436 & 12.0426952144819 \tabularnewline
0.45 & 1308.26374784958 & 11.5022046280171 \tabularnewline
0.46 & 1310.74844500979 & 10.9368700984998 \tabularnewline
0.47 & 1313.10990592323 & 10.3846898475658 \tabularnewline
0.48 & 1315.35590231074 & 9.88522631356635 \tabularnewline
0.49 & 1317.50063706502 & 9.46372677161541 \tabularnewline
0.5 & 1319.56279381645 & 9.13478063538243 \tabularnewline
0.51 & 1321.56343370462 & 8.90629010035809 \tabularnewline
0.52 & 1323.52401371696 & 8.77275504102169 \tabularnewline
0.53 & 1325.46461860439 & 8.72361893340088 \tabularnewline
0.54 & 1327.40234670299 & 8.74469762854167 \tabularnewline
0.55 & 1329.34974017566 & 8.81062236693834 \tabularnewline
0.56 & 1331.31323437822 & 8.89418989009564 \tabularnewline
0.57 & 1333.29179551519 & 8.95649861789506 \tabularnewline
0.58 & 1335.27614098662 & 8.95806244421568 \tabularnewline
0.59 & 1337.24908049138 & 8.86286329601522 \tabularnewline
0.6 & 1339.18747472901 & 8.64272516891865 \tabularnewline
0.61 & 1341.06603403928 & 8.29474982343881 \tabularnewline
0.62 & 1342.86270809697 & 7.83808939767884 \tabularnewline
0.63 & 1344.56487080825 & 7.32672704796161 \tabularnewline
0.64 & 1346.17505392007 & 6.83815502741215 \tabularnewline
0.65 & 1347.71479688101 & 6.4712685321198 \tabularnewline
0.66 & 1349.22536639434 & 6.32799581161006 \tabularnewline
0.67 & 1350.7646626208 & 6.48374467129436 \tabularnewline
0.68 & 1352.4004640324 & 6.96925705920547 \tabularnewline
0.69 & 1354.2010739764 & 7.75022367964801 \tabularnewline
0.7 & 1356.22518149544 & 8.74382125312258 \tabularnewline
0.71 & 1358.51311532626 & 9.83787488451318 \tabularnewline
0.72 & 1361.08150334401 & 10.9146387904828 \tabularnewline
0.73 & 1363.92261809225 & 11.8747210001309 \tabularnewline
0.74 & 1367.00851342753 & 12.6441107690803 \tabularnewline
0.75 & 1370.29872574306 & 13.1918427175709 \tabularnewline
0.76 & 1373.74924737478 & 13.5309235779384 \tabularnewline
0.77 & 1377.32012073479 & 13.7022062703782 \tabularnewline
0.78 & 1380.97961503436 & 13.7531393158273 \tabularnewline
0.79 & 1384.70442359127 & 13.7222032591733 \tabularnewline
0.8 & 1388.47711327612 & 13.6256163314089 \tabularnewline
0.81 & 1392.28338184177 & 13.4625524025443 \tabularnewline
0.82 & 1396.11191092354 & 13.2304466710479 \tabularnewline
0.83 & 1399.95865506746 & 12.9525904944536 \tabularnewline
0.84 & 1403.83577634932 & 12.6856112498148 \tabularnewline
0.85 & 1407.78387339137 & 12.5261037812419 \tabularnewline
0.86 & 1411.8852882395 & 12.6060736541625 \tabularnewline
0.87 & 1416.27652377626 & 13.0755121656255 \tabularnewline
0.88 & 1421.15938232357 & 14.0843740989965 \tabularnewline
0.89 & 1426.81242522918 & 15.7632874545869 \tabularnewline
0.9 & 1433.60246285014 & 18.2349881914464 \tabularnewline
0.91 & 1441.98197670427 & 21.5983247187957 \tabularnewline
0.92 & 1452.4298314478 & 25.7821156795887 \tabularnewline
0.93 & 1465.27234663622 & 30.1884821380815 \tabularnewline
0.94 & 1480.36713483937 & 33.3811327965799 \tabularnewline
0.95 & 1496.78306372305 & 33.3935188018352 \tabularnewline
0.96 & 1512.78781661619 & 28.9250482454002 \tabularnewline
0.97 & 1526.46770661064 & 20.7209333895008 \tabularnewline
0.98 & 1536.94492466971 & 11.9856352875991 \tabularnewline
0.99 & 1544.92051495486 & 8.05515184489511 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123333&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]988.136867086141[/C][C]47.5447332908596[/C][/ROW]
[ROW][C]0.02[/C][C]1032.1293284116[/C][C]56.7359826191291[/C][/ROW]
[ROW][C]0.03[/C][C]1075.63603092397[/C][C]58.4633883249871[/C][/ROW]
[ROW][C]0.04[/C][C]1112.83925028107[/C][C]53.4823297607045[/C][/ROW]
[ROW][C]0.05[/C][C]1142.31971636116[/C][C]44.0448069244362[/C][/ROW]
[ROW][C]0.06[/C][C]1164.37449894941[/C][C]34.0998400960987[/C][/ROW]
[ROW][C]0.07[/C][C]1180.38723736171[/C][C]26.4552595691977[/C][/ROW]
[ROW][C]0.08[/C][C]1192.08029339259[/C][C]21.2863676470863[/C][/ROW]
[ROW][C]0.09[/C][C]1200.86344837641[/C][C]17.5539736491871[/C][/ROW]
[ROW][C]0.1[/C][C]1207.65731369229[/C][C]14.5779764345858[/C][/ROW]
[ROW][C]0.11[/C][C]1213.04567190709[/C][C]12.2872066509041[/C][/ROW]
[ROW][C]0.12[/C][C]1217.46145478624[/C][C]10.8463922019377[/C][/ROW]
[ROW][C]0.13[/C][C]1221.2695657564[/C][C]10.2844240787994[/C][/ROW]
[ROW][C]0.14[/C][C]1224.7638160827[/C][C]10.3763642948899[/C][/ROW]
[ROW][C]0.15[/C][C]1228.140567176[/C][C]10.7608057212496[/C][/ROW]
[ROW][C]0.16[/C][C]1231.49053894781[/C][C]11.1095443066664[/C][/ROW]
[ROW][C]0.17[/C][C]1234.8177285194[/C][C]11.230218652086[/C][/ROW]
[ROW][C]0.18[/C][C]1238.07474007053[/C][C]11.0563774411143[/C][/ROW]
[ROW][C]0.19[/C][C]1241.19914045595[/C][C]10.6305487304355[/C][/ROW]
[ROW][C]0.2[/C][C]1244.13993216855[/C][C]10.0467457720024[/C][/ROW]
[ROW][C]0.21[/C][C]1246.87054273339[/C][C]9.40860002379434[/C][/ROW]
[ROW][C]0.22[/C][C]1249.39057049973[/C][C]8.81069918169957[/C][/ROW]
[ROW][C]0.23[/C][C]1251.72114838132[/C][C]8.31325560800763[/C][/ROW]
[ROW][C]0.24[/C][C]1253.89846485009[/C][C]7.9619074381397[/C][/ROW]
[ROW][C]0.25[/C][C]1255.96804695359[/C][C]7.78726338210324[/C][/ROW]
[ROW][C]0.26[/C][C]1257.98032812633[/C][C]7.8111168298653[/C][/ROW]
[ROW][C]0.27[/C][C]1259.98679182154[/C][C]8.04245581370665[/C][/ROW]
[ROW][C]0.28[/C][C]1262.03589219183[/C][C]8.46550902285373[/C][/ROW]
[ROW][C]0.29[/C][C]1264.16866435829[/C][C]9.03693736716094[/C][/ROW]
[ROW][C]0.3[/C][C]1266.41478166331[/C][C]9.69481153371022[/C][/ROW]
[ROW][C]0.31[/C][C]1268.79019711969[/C][C]10.371555009294[/C][/ROW]
[ROW][C]0.32[/C][C]1271.29718857278[/C][C]11.0119879400775[/C][/ROW]
[ROW][C]0.33[/C][C]1273.92680716575[/C][C]11.5764711992227[/C][/ROW]
[ROW][C]0.34[/C][C]1276.66285766084[/C][C]12.0519113008531[/C][/ROW]
[ROW][C]0.35[/C][C]1279.48604919219[/C][C]12.4410164271432[/C][/ROW]
[ROW][C]0.36[/C][C]1282.37704516218[/C][C]12.7547131705163[/C][/ROW]
[ROW][C]0.37[/C][C]1285.31771957883[/C][C]12.9976097127153[/C][/ROW]
[ROW][C]0.38[/C][C]1288.29070276054[/C][C]13.1737655744445[/C][/ROW]
[ROW][C]0.39[/C][C]1291.27794166507[/C][C]13.2682622147378[/C][/ROW]
[ROW][C]0.4[/C][C]1294.25928205372[/C][C]13.2635714387271[/C][/ROW]
[ROW][C]0.41[/C][C]1297.2119472934[/C][C]13.1381221981428[/C][/ROW]
[ROW][C]0.42[/C][C]1300.11134994964[/C][C]12.8880499908958[/C][/ROW]
[ROW][C]0.43[/C][C]1302.93312948513[/C][C]12.5158620537247[/C][/ROW]
[ROW][C]0.44[/C][C]1305.65586945436[/C][C]12.0426952144819[/C][/ROW]
[ROW][C]0.45[/C][C]1308.26374784958[/C][C]11.5022046280171[/C][/ROW]
[ROW][C]0.46[/C][C]1310.74844500979[/C][C]10.9368700984998[/C][/ROW]
[ROW][C]0.47[/C][C]1313.10990592323[/C][C]10.3846898475658[/C][/ROW]
[ROW][C]0.48[/C][C]1315.35590231074[/C][C]9.88522631356635[/C][/ROW]
[ROW][C]0.49[/C][C]1317.50063706502[/C][C]9.46372677161541[/C][/ROW]
[ROW][C]0.5[/C][C]1319.56279381645[/C][C]9.13478063538243[/C][/ROW]
[ROW][C]0.51[/C][C]1321.56343370462[/C][C]8.90629010035809[/C][/ROW]
[ROW][C]0.52[/C][C]1323.52401371696[/C][C]8.77275504102169[/C][/ROW]
[ROW][C]0.53[/C][C]1325.46461860439[/C][C]8.72361893340088[/C][/ROW]
[ROW][C]0.54[/C][C]1327.40234670299[/C][C]8.74469762854167[/C][/ROW]
[ROW][C]0.55[/C][C]1329.34974017566[/C][C]8.81062236693834[/C][/ROW]
[ROW][C]0.56[/C][C]1331.31323437822[/C][C]8.89418989009564[/C][/ROW]
[ROW][C]0.57[/C][C]1333.29179551519[/C][C]8.95649861789506[/C][/ROW]
[ROW][C]0.58[/C][C]1335.27614098662[/C][C]8.95806244421568[/C][/ROW]
[ROW][C]0.59[/C][C]1337.24908049138[/C][C]8.86286329601522[/C][/ROW]
[ROW][C]0.6[/C][C]1339.18747472901[/C][C]8.64272516891865[/C][/ROW]
[ROW][C]0.61[/C][C]1341.06603403928[/C][C]8.29474982343881[/C][/ROW]
[ROW][C]0.62[/C][C]1342.86270809697[/C][C]7.83808939767884[/C][/ROW]
[ROW][C]0.63[/C][C]1344.56487080825[/C][C]7.32672704796161[/C][/ROW]
[ROW][C]0.64[/C][C]1346.17505392007[/C][C]6.83815502741215[/C][/ROW]
[ROW][C]0.65[/C][C]1347.71479688101[/C][C]6.4712685321198[/C][/ROW]
[ROW][C]0.66[/C][C]1349.22536639434[/C][C]6.32799581161006[/C][/ROW]
[ROW][C]0.67[/C][C]1350.7646626208[/C][C]6.48374467129436[/C][/ROW]
[ROW][C]0.68[/C][C]1352.4004640324[/C][C]6.96925705920547[/C][/ROW]
[ROW][C]0.69[/C][C]1354.2010739764[/C][C]7.75022367964801[/C][/ROW]
[ROW][C]0.7[/C][C]1356.22518149544[/C][C]8.74382125312258[/C][/ROW]
[ROW][C]0.71[/C][C]1358.51311532626[/C][C]9.83787488451318[/C][/ROW]
[ROW][C]0.72[/C][C]1361.08150334401[/C][C]10.9146387904828[/C][/ROW]
[ROW][C]0.73[/C][C]1363.92261809225[/C][C]11.8747210001309[/C][/ROW]
[ROW][C]0.74[/C][C]1367.00851342753[/C][C]12.6441107690803[/C][/ROW]
[ROW][C]0.75[/C][C]1370.29872574306[/C][C]13.1918427175709[/C][/ROW]
[ROW][C]0.76[/C][C]1373.74924737478[/C][C]13.5309235779384[/C][/ROW]
[ROW][C]0.77[/C][C]1377.32012073479[/C][C]13.7022062703782[/C][/ROW]
[ROW][C]0.78[/C][C]1380.97961503436[/C][C]13.7531393158273[/C][/ROW]
[ROW][C]0.79[/C][C]1384.70442359127[/C][C]13.7222032591733[/C][/ROW]
[ROW][C]0.8[/C][C]1388.47711327612[/C][C]13.6256163314089[/C][/ROW]
[ROW][C]0.81[/C][C]1392.28338184177[/C][C]13.4625524025443[/C][/ROW]
[ROW][C]0.82[/C][C]1396.11191092354[/C][C]13.2304466710479[/C][/ROW]
[ROW][C]0.83[/C][C]1399.95865506746[/C][C]12.9525904944536[/C][/ROW]
[ROW][C]0.84[/C][C]1403.83577634932[/C][C]12.6856112498148[/C][/ROW]
[ROW][C]0.85[/C][C]1407.78387339137[/C][C]12.5261037812419[/C][/ROW]
[ROW][C]0.86[/C][C]1411.8852882395[/C][C]12.6060736541625[/C][/ROW]
[ROW][C]0.87[/C][C]1416.27652377626[/C][C]13.0755121656255[/C][/ROW]
[ROW][C]0.88[/C][C]1421.15938232357[/C][C]14.0843740989965[/C][/ROW]
[ROW][C]0.89[/C][C]1426.81242522918[/C][C]15.7632874545869[/C][/ROW]
[ROW][C]0.9[/C][C]1433.60246285014[/C][C]18.2349881914464[/C][/ROW]
[ROW][C]0.91[/C][C]1441.98197670427[/C][C]21.5983247187957[/C][/ROW]
[ROW][C]0.92[/C][C]1452.4298314478[/C][C]25.7821156795887[/C][/ROW]
[ROW][C]0.93[/C][C]1465.27234663622[/C][C]30.1884821380815[/C][/ROW]
[ROW][C]0.94[/C][C]1480.36713483937[/C][C]33.3811327965799[/C][/ROW]
[ROW][C]0.95[/C][C]1496.78306372305[/C][C]33.3935188018352[/C][/ROW]
[ROW][C]0.96[/C][C]1512.78781661619[/C][C]28.9250482454002[/C][/ROW]
[ROW][C]0.97[/C][C]1526.46770661064[/C][C]20.7209333895008[/C][/ROW]
[ROW][C]0.98[/C][C]1536.94492466971[/C][C]11.9856352875991[/C][/ROW]
[ROW][C]0.99[/C][C]1544.92051495486[/C][C]8.05515184489511[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123333&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123333&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
0.01988.13686708614147.5447332908596
0.021032.129328411656.7359826191291
0.031075.6360309239758.4633883249871
0.041112.8392502810753.4823297607045
0.051142.3197163611644.0448069244362
0.061164.3744989494134.0998400960987
0.071180.3872373617126.4552595691977
0.081192.0802933925921.2863676470863
0.091200.8634483764117.5539736491871
0.11207.6573136922914.5779764345858
0.111213.0456719070912.2872066509041
0.121217.4614547862410.8463922019377
0.131221.269565756410.2844240787994
0.141224.763816082710.3763642948899
0.151228.14056717610.7608057212496
0.161231.4905389478111.1095443066664
0.171234.817728519411.230218652086
0.181238.0747400705311.0563774411143
0.191241.1991404559510.6305487304355
0.21244.1399321685510.0467457720024
0.211246.870542733399.40860002379434
0.221249.390570499738.81069918169957
0.231251.721148381328.31325560800763
0.241253.898464850097.9619074381397
0.251255.968046953597.78726338210324
0.261257.980328126337.8111168298653
0.271259.986791821548.04245581370665
0.281262.035892191838.46550902285373
0.291264.168664358299.03693736716094
0.31266.414781663319.69481153371022
0.311268.7901971196910.371555009294
0.321271.2971885727811.0119879400775
0.331273.9268071657511.5764711992227
0.341276.6628576608412.0519113008531
0.351279.4860491921912.4410164271432
0.361282.3770451621812.7547131705163
0.371285.3177195788312.9976097127153
0.381288.2907027605413.1737655744445
0.391291.2779416650713.2682622147378
0.41294.2592820537213.2635714387271
0.411297.211947293413.1381221981428
0.421300.1113499496412.8880499908958
0.431302.9331294851312.5158620537247
0.441305.6558694543612.0426952144819
0.451308.2637478495811.5022046280171
0.461310.7484450097910.9368700984998
0.471313.1099059232310.3846898475658
0.481315.355902310749.88522631356635
0.491317.500637065029.46372677161541
0.51319.562793816459.13478063538243
0.511321.563433704628.90629010035809
0.521323.524013716968.77275504102169
0.531325.464618604398.72361893340088
0.541327.402346702998.74469762854167
0.551329.349740175668.81062236693834
0.561331.313234378228.89418989009564
0.571333.291795515198.95649861789506
0.581335.276140986628.95806244421568
0.591337.249080491388.86286329601522
0.61339.187474729018.64272516891865
0.611341.066034039288.29474982343881
0.621342.862708096977.83808939767884
0.631344.564870808257.32672704796161
0.641346.175053920076.83815502741215
0.651347.714796881016.4712685321198
0.661349.225366394346.32799581161006
0.671350.76466262086.48374467129436
0.681352.40046403246.96925705920547
0.691354.20107397647.75022367964801
0.71356.225181495448.74382125312258
0.711358.513115326269.83787488451318
0.721361.0815033440110.9146387904828
0.731363.9226180922511.8747210001309
0.741367.0085134275312.6441107690803
0.751370.2987257430613.1918427175709
0.761373.7492473747813.5309235779384
0.771377.3201207347913.7022062703782
0.781380.9796150343613.7531393158273
0.791384.7044235912713.7222032591733
0.81388.4771132761213.6256163314089
0.811392.2833818417713.4625524025443
0.821396.1119109235413.2304466710479
0.831399.9586550674612.9525904944536
0.841403.8357763493212.6856112498148
0.851407.7838733913712.5261037812419
0.861411.885288239512.6060736541625
0.871416.2765237762613.0755121656255
0.881421.1593823235714.0843740989965
0.891426.8124252291815.7632874545869
0.91433.6024628501418.2349881914464
0.911441.9819767042721.5983247187957
0.921452.429831447825.7821156795887
0.931465.2723466362230.1884821380815
0.941480.3671348393733.3811327965799
0.951496.7830637230533.3935188018352
0.961512.7878166161928.9250482454002
0.971526.4677066106420.7209333895008
0.981536.9449246697111.9856352875991
0.991544.920514954868.05515184489511


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')