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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 19 Nov 2010 09:11:15 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/19/t1290157962tzy04uc0k79b067.htm/, Retrieved Fri, 03 May 2024 22:44:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=97857, Retrieved Fri, 03 May 2024 22:44:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact144

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [] [2010-10-20 18:18:38] [b98453cac15ba1066b407e146608df68]
- RMP   [Harrell-Davis Quantiles] [] [2010-11-04 21:27:04] [b98453cac15ba1066b407e146608df68]
-   PD    [Harrell-Davis Quantiles] [] [2010-11-19 08:48:34] [fc9068db680cd880760a7c0fccd81a61]
-    D        [Harrell-Davis Quantiles] [tec buy] [2010-11-19 09:11:15] [a8abc7260f3c847aeac0a796e7895a2e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 5 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97857&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97857&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97857&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 time5 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.90.004768382012708550.000621315552496029
0.9010.004806184926234140.000595974710407661
0.9020.004842526692352890.000570845515694821
0.9030.004877417649472960.000545977718137468
0.9040.004910871426796590.000521421172069095
0.9050.004942904987593130.000497244007910017
0.9060.004973538609607040.00047348703879572
0.9070.005002795801823910.000450219562751411
0.9080.005030703159128320.000427491464067004
0.9090.005057290158636070.000405340820955487
0.910.005082588903581030.000383826403885038
0.9110.005106633822504290.000362984630252484
0.9120.005129461333054950.000342847924613528
0.9130.005151109480906230.000323444745671656
0.9140.005171617565069990.000304798219115514
0.9150.005191025761225490.000286919371832946
0.9160.005209374754553280.000269814639276092
0.9170.005226705392989890.000253484734442001
0.9180.005243058370822740.000237919576440314
0.9190.00525847395117470.000223108430278054
0.920.005272991734251780.000209028058135169
0.9210.005286650476327750.000195656559072838
0.9220.005299487962412270.000182971454342174
0.9230.005311540933499990.000170944582319542
0.9240.005322845067337140.000159540541961131
0.9250.005333435009882160.000148738736927767
0.9260.005343344453183660.000138501831121921
0.9270.005352606254352580.000128812797002589
0.9280.005361252589750410.000119642936266697
0.9290.005369315138518270.000110971189031583
0.930.005376825290178070.000102781956525032
0.9310.005383814372263889.50604806348737e-05
0.9320.005390313895776768.77955881681164e-05
0.9330.005396355818653048.09835232338856e-05
0.9340.005401972830309757.46209781486117e-05
0.9350.005407198663556646.87075961706224e-05
0.9360.005412068443573816.32474249310747e-05
0.9370.005416619087034135.8253179435377e-05
0.9380.00542088976754145.37365729194855e-05
0.9390.00542492246605684.97165760594101e-05
0.940.005428762626556184.62203167289062e-05
0.9410.005432459937428194.32868209653696e-05
0.9420.00543606925770184.09629610220826e-05
0.9430.005439651703701873.93127544516687e-05
0.9440.005443275905825433.84199968830754e-05
0.9450.005447019436536423.83803670569674e-05
0.9460.005450970399230813.93070167584261e-05
0.9470.005455229153332474.13199384663833e-05
0.9480.005459910134059624.45539702692437e-05
0.9490.005465143706233924.91369846601405e-05
0.950.005471077971065795.52171790743891e-05
0.9510.005477880424135166.29389414346459e-05
0.9520.005485739343192737.24640752834925e-05
0.9530.005494864767584478.39597768130243e-05
0.9540.005505488918862099.7585346116745e-05
0.9550.005517865906318470.000113508646501501
0.9560.005532270563450870.000131871056114465
0.9570.005548996273010040.000152793697524495
0.9580.005568351660062260.000176349190743798
0.9590.005590656064328210.000202566376147108
0.960.00561623374404610.00023141807061029
0.9610.00564540681193730.000262784705300306
0.9620.005678486957014820.00029648317328968
0.9630.005715766061076610.000332230853009411
0.9640.005757505873018690.000369657993142162
0.9650.005803926955660880.000408299321738373
0.9660.005855197168237380.000447605901190284
0.9670.005911419994977170.000486938967314476
0.9680.005972623080992770.000525595667642368
0.9690.006038747398698640.000562809556607506
0.970.006109637551579010.00059777245908405
0.9710.006185033839584190.000629648995615177
0.9720.006264566874550390.000657588049979236
0.9730.006347755756427290.000680761307776742
0.9740.006434011110338390.00069836912453828
0.9750.006522644644529810.000709683103345483
0.9760.006612887318430140.000714076581526293
0.9770.006703918701325670.00071107879706497
0.9780.00679491064506910.000700421927691097
0.9790.006885088978877420.000682124439952689
0.980.006973817557349830.000656564130872786
0.9810.007060709663577770.00062458386189484
0.9820.007145772507615990.000587614185831166
0.9830.007229591368842780.000547840206542671
0.9840.007313560698096470.000508489126320982
0.9850.007400169767310150.000474283195075332
0.9860.00749334897079780.000452113555351379
0.9870.007598876805320510.000451544182943588
0.9880.007724831432178650.000483998465082404
0.9890.007882035591060340.000560153486998232
0.990.008084377390200870.00068803715371007
0.9910.008348780716843930.000873925911801041
0.9920.00869444740504540.00112405794846823
0.9930.009140829725831890.00144481277312584
0.9940.009703706885127560.001841118662531
0.9950.01038890923346620.00231316513707023
0.9960.01118391295074780.00285139139651607
0.9970.01204895434156090.00343036571541671
0.9980.01291147009215090.00400402597127264
0.9990.01366989479467140.00450681595093051

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.9 & 0.00476838201270855 & 0.000621315552496029 \tabularnewline
0.901 & 0.00480618492623414 & 0.000595974710407661 \tabularnewline
0.902 & 0.00484252669235289 & 0.000570845515694821 \tabularnewline
0.903 & 0.00487741764947296 & 0.000545977718137468 \tabularnewline
0.904 & 0.00491087142679659 & 0.000521421172069095 \tabularnewline
0.905 & 0.00494290498759313 & 0.000497244007910017 \tabularnewline
0.906 & 0.00497353860960704 & 0.00047348703879572 \tabularnewline
0.907 & 0.00500279580182391 & 0.000450219562751411 \tabularnewline
0.908 & 0.00503070315912832 & 0.000427491464067004 \tabularnewline
0.909 & 0.00505729015863607 & 0.000405340820955487 \tabularnewline
0.91 & 0.00508258890358103 & 0.000383826403885038 \tabularnewline
0.911 & 0.00510663382250429 & 0.000362984630252484 \tabularnewline
0.912 & 0.00512946133305495 & 0.000342847924613528 \tabularnewline
0.913 & 0.00515110948090623 & 0.000323444745671656 \tabularnewline
0.914 & 0.00517161756506999 & 0.000304798219115514 \tabularnewline
0.915 & 0.00519102576122549 & 0.000286919371832946 \tabularnewline
0.916 & 0.00520937475455328 & 0.000269814639276092 \tabularnewline
0.917 & 0.00522670539298989 & 0.000253484734442001 \tabularnewline
0.918 & 0.00524305837082274 & 0.000237919576440314 \tabularnewline
0.919 & 0.0052584739511747 & 0.000223108430278054 \tabularnewline
0.92 & 0.00527299173425178 & 0.000209028058135169 \tabularnewline
0.921 & 0.00528665047632775 & 0.000195656559072838 \tabularnewline
0.922 & 0.00529948796241227 & 0.000182971454342174 \tabularnewline
0.923 & 0.00531154093349999 & 0.000170944582319542 \tabularnewline
0.924 & 0.00532284506733714 & 0.000159540541961131 \tabularnewline
0.925 & 0.00533343500988216 & 0.000148738736927767 \tabularnewline
0.926 & 0.00534334445318366 & 0.000138501831121921 \tabularnewline
0.927 & 0.00535260625435258 & 0.000128812797002589 \tabularnewline
0.928 & 0.00536125258975041 & 0.000119642936266697 \tabularnewline
0.929 & 0.00536931513851827 & 0.000110971189031583 \tabularnewline
0.93 & 0.00537682529017807 & 0.000102781956525032 \tabularnewline
0.931 & 0.00538381437226388 & 9.50604806348737e-05 \tabularnewline
0.932 & 0.00539031389577676 & 8.77955881681164e-05 \tabularnewline
0.933 & 0.00539635581865304 & 8.09835232338856e-05 \tabularnewline
0.934 & 0.00540197283030975 & 7.46209781486117e-05 \tabularnewline
0.935 & 0.00540719866355664 & 6.87075961706224e-05 \tabularnewline
0.936 & 0.00541206844357381 & 6.32474249310747e-05 \tabularnewline
0.937 & 0.00541661908703413 & 5.8253179435377e-05 \tabularnewline
0.938 & 0.0054208897675414 & 5.37365729194855e-05 \tabularnewline
0.939 & 0.0054249224660568 & 4.97165760594101e-05 \tabularnewline
0.94 & 0.00542876262655618 & 4.62203167289062e-05 \tabularnewline
0.941 & 0.00543245993742819 & 4.32868209653696e-05 \tabularnewline
0.942 & 0.0054360692577018 & 4.09629610220826e-05 \tabularnewline
0.943 & 0.00543965170370187 & 3.93127544516687e-05 \tabularnewline
0.944 & 0.00544327590582543 & 3.84199968830754e-05 \tabularnewline
0.945 & 0.00544701943653642 & 3.83803670569674e-05 \tabularnewline
0.946 & 0.00545097039923081 & 3.93070167584261e-05 \tabularnewline
0.947 & 0.00545522915333247 & 4.13199384663833e-05 \tabularnewline
0.948 & 0.00545991013405962 & 4.45539702692437e-05 \tabularnewline
0.949 & 0.00546514370623392 & 4.91369846601405e-05 \tabularnewline
0.95 & 0.00547107797106579 & 5.52171790743891e-05 \tabularnewline
0.951 & 0.00547788042413516 & 6.29389414346459e-05 \tabularnewline
0.952 & 0.00548573934319273 & 7.24640752834925e-05 \tabularnewline
0.953 & 0.00549486476758447 & 8.39597768130243e-05 \tabularnewline
0.954 & 0.00550548891886209 & 9.7585346116745e-05 \tabularnewline
0.955 & 0.00551786590631847 & 0.000113508646501501 \tabularnewline
0.956 & 0.00553227056345087 & 0.000131871056114465 \tabularnewline
0.957 & 0.00554899627301004 & 0.000152793697524495 \tabularnewline
0.958 & 0.00556835166006226 & 0.000176349190743798 \tabularnewline
0.959 & 0.00559065606432821 & 0.000202566376147108 \tabularnewline
0.96 & 0.0056162337440461 & 0.00023141807061029 \tabularnewline
0.961 & 0.0056454068119373 & 0.000262784705300306 \tabularnewline
0.962 & 0.00567848695701482 & 0.00029648317328968 \tabularnewline
0.963 & 0.00571576606107661 & 0.000332230853009411 \tabularnewline
0.964 & 0.00575750587301869 & 0.000369657993142162 \tabularnewline
0.965 & 0.00580392695566088 & 0.000408299321738373 \tabularnewline
0.966 & 0.00585519716823738 & 0.000447605901190284 \tabularnewline
0.967 & 0.00591141999497717 & 0.000486938967314476 \tabularnewline
0.968 & 0.00597262308099277 & 0.000525595667642368 \tabularnewline
0.969 & 0.00603874739869864 & 0.000562809556607506 \tabularnewline
0.97 & 0.00610963755157901 & 0.00059777245908405 \tabularnewline
0.971 & 0.00618503383958419 & 0.000629648995615177 \tabularnewline
0.972 & 0.00626456687455039 & 0.000657588049979236 \tabularnewline
0.973 & 0.00634775575642729 & 0.000680761307776742 \tabularnewline
0.974 & 0.00643401111033839 & 0.00069836912453828 \tabularnewline
0.975 & 0.00652264464452981 & 0.000709683103345483 \tabularnewline
0.976 & 0.00661288731843014 & 0.000714076581526293 \tabularnewline
0.977 & 0.00670391870132567 & 0.00071107879706497 \tabularnewline
0.978 & 0.0067949106450691 & 0.000700421927691097 \tabularnewline
0.979 & 0.00688508897887742 & 0.000682124439952689 \tabularnewline
0.98 & 0.00697381755734983 & 0.000656564130872786 \tabularnewline
0.981 & 0.00706070966357777 & 0.00062458386189484 \tabularnewline
0.982 & 0.00714577250761599 & 0.000587614185831166 \tabularnewline
0.983 & 0.00722959136884278 & 0.000547840206542671 \tabularnewline
0.984 & 0.00731356069809647 & 0.000508489126320982 \tabularnewline
0.985 & 0.00740016976731015 & 0.000474283195075332 \tabularnewline
0.986 & 0.0074933489707978 & 0.000452113555351379 \tabularnewline
0.987 & 0.00759887680532051 & 0.000451544182943588 \tabularnewline
0.988 & 0.00772483143217865 & 0.000483998465082404 \tabularnewline
0.989 & 0.00788203559106034 & 0.000560153486998232 \tabularnewline
0.99 & 0.00808437739020087 & 0.00068803715371007 \tabularnewline
0.991 & 0.00834878071684393 & 0.000873925911801041 \tabularnewline
0.992 & 0.0086944474050454 & 0.00112405794846823 \tabularnewline
0.993 & 0.00914082972583189 & 0.00144481277312584 \tabularnewline
0.994 & 0.00970370688512756 & 0.001841118662531 \tabularnewline
0.995 & 0.0103889092334662 & 0.00231316513707023 \tabularnewline
0.996 & 0.0111839129507478 & 0.00285139139651607 \tabularnewline
0.997 & 0.0120489543415609 & 0.00343036571541671 \tabularnewline
0.998 & 0.0129114700921509 & 0.00400402597127264 \tabularnewline
0.999 & 0.0136698947946714 & 0.00450681595093051 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97857&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.9[/C][C]0.00476838201270855[/C][C]0.000621315552496029[/C][/ROW]
[ROW][C]0.901[/C][C]0.00480618492623414[/C][C]0.000595974710407661[/C][/ROW]
[ROW][C]0.902[/C][C]0.00484252669235289[/C][C]0.000570845515694821[/C][/ROW]
[ROW][C]0.903[/C][C]0.00487741764947296[/C][C]0.000545977718137468[/C][/ROW]
[ROW][C]0.904[/C][C]0.00491087142679659[/C][C]0.000521421172069095[/C][/ROW]
[ROW][C]0.905[/C][C]0.00494290498759313[/C][C]0.000497244007910017[/C][/ROW]
[ROW][C]0.906[/C][C]0.00497353860960704[/C][C]0.00047348703879572[/C][/ROW]
[ROW][C]0.907[/C][C]0.00500279580182391[/C][C]0.000450219562751411[/C][/ROW]
[ROW][C]0.908[/C][C]0.00503070315912832[/C][C]0.000427491464067004[/C][/ROW]
[ROW][C]0.909[/C][C]0.00505729015863607[/C][C]0.000405340820955487[/C][/ROW]
[ROW][C]0.91[/C][C]0.00508258890358103[/C][C]0.000383826403885038[/C][/ROW]
[ROW][C]0.911[/C][C]0.00510663382250429[/C][C]0.000362984630252484[/C][/ROW]
[ROW][C]0.912[/C][C]0.00512946133305495[/C][C]0.000342847924613528[/C][/ROW]
[ROW][C]0.913[/C][C]0.00515110948090623[/C][C]0.000323444745671656[/C][/ROW]
[ROW][C]0.914[/C][C]0.00517161756506999[/C][C]0.000304798219115514[/C][/ROW]
[ROW][C]0.915[/C][C]0.00519102576122549[/C][C]0.000286919371832946[/C][/ROW]
[ROW][C]0.916[/C][C]0.00520937475455328[/C][C]0.000269814639276092[/C][/ROW]
[ROW][C]0.917[/C][C]0.00522670539298989[/C][C]0.000253484734442001[/C][/ROW]
[ROW][C]0.918[/C][C]0.00524305837082274[/C][C]0.000237919576440314[/C][/ROW]
[ROW][C]0.919[/C][C]0.0052584739511747[/C][C]0.000223108430278054[/C][/ROW]
[ROW][C]0.92[/C][C]0.00527299173425178[/C][C]0.000209028058135169[/C][/ROW]
[ROW][C]0.921[/C][C]0.00528665047632775[/C][C]0.000195656559072838[/C][/ROW]
[ROW][C]0.922[/C][C]0.00529948796241227[/C][C]0.000182971454342174[/C][/ROW]
[ROW][C]0.923[/C][C]0.00531154093349999[/C][C]0.000170944582319542[/C][/ROW]
[ROW][C]0.924[/C][C]0.00532284506733714[/C][C]0.000159540541961131[/C][/ROW]
[ROW][C]0.925[/C][C]0.00533343500988216[/C][C]0.000148738736927767[/C][/ROW]
[ROW][C]0.926[/C][C]0.00534334445318366[/C][C]0.000138501831121921[/C][/ROW]
[ROW][C]0.927[/C][C]0.00535260625435258[/C][C]0.000128812797002589[/C][/ROW]
[ROW][C]0.928[/C][C]0.00536125258975041[/C][C]0.000119642936266697[/C][/ROW]
[ROW][C]0.929[/C][C]0.00536931513851827[/C][C]0.000110971189031583[/C][/ROW]
[ROW][C]0.93[/C][C]0.00537682529017807[/C][C]0.000102781956525032[/C][/ROW]
[ROW][C]0.931[/C][C]0.00538381437226388[/C][C]9.50604806348737e-05[/C][/ROW]
[ROW][C]0.932[/C][C]0.00539031389577676[/C][C]8.77955881681164e-05[/C][/ROW]
[ROW][C]0.933[/C][C]0.00539635581865304[/C][C]8.09835232338856e-05[/C][/ROW]
[ROW][C]0.934[/C][C]0.00540197283030975[/C][C]7.46209781486117e-05[/C][/ROW]
[ROW][C]0.935[/C][C]0.00540719866355664[/C][C]6.87075961706224e-05[/C][/ROW]
[ROW][C]0.936[/C][C]0.00541206844357381[/C][C]6.32474249310747e-05[/C][/ROW]
[ROW][C]0.937[/C][C]0.00541661908703413[/C][C]5.8253179435377e-05[/C][/ROW]
[ROW][C]0.938[/C][C]0.0054208897675414[/C][C]5.37365729194855e-05[/C][/ROW]
[ROW][C]0.939[/C][C]0.0054249224660568[/C][C]4.97165760594101e-05[/C][/ROW]
[ROW][C]0.94[/C][C]0.00542876262655618[/C][C]4.62203167289062e-05[/C][/ROW]
[ROW][C]0.941[/C][C]0.00543245993742819[/C][C]4.32868209653696e-05[/C][/ROW]
[ROW][C]0.942[/C][C]0.0054360692577018[/C][C]4.09629610220826e-05[/C][/ROW]
[ROW][C]0.943[/C][C]0.00543965170370187[/C][C]3.93127544516687e-05[/C][/ROW]
[ROW][C]0.944[/C][C]0.00544327590582543[/C][C]3.84199968830754e-05[/C][/ROW]
[ROW][C]0.945[/C][C]0.00544701943653642[/C][C]3.83803670569674e-05[/C][/ROW]
[ROW][C]0.946[/C][C]0.00545097039923081[/C][C]3.93070167584261e-05[/C][/ROW]
[ROW][C]0.947[/C][C]0.00545522915333247[/C][C]4.13199384663833e-05[/C][/ROW]
[ROW][C]0.948[/C][C]0.00545991013405962[/C][C]4.45539702692437e-05[/C][/ROW]
[ROW][C]0.949[/C][C]0.00546514370623392[/C][C]4.91369846601405e-05[/C][/ROW]
[ROW][C]0.95[/C][C]0.00547107797106579[/C][C]5.52171790743891e-05[/C][/ROW]
[ROW][C]0.951[/C][C]0.00547788042413516[/C][C]6.29389414346459e-05[/C][/ROW]
[ROW][C]0.952[/C][C]0.00548573934319273[/C][C]7.24640752834925e-05[/C][/ROW]
[ROW][C]0.953[/C][C]0.00549486476758447[/C][C]8.39597768130243e-05[/C][/ROW]
[ROW][C]0.954[/C][C]0.00550548891886209[/C][C]9.7585346116745e-05[/C][/ROW]
[ROW][C]0.955[/C][C]0.00551786590631847[/C][C]0.000113508646501501[/C][/ROW]
[ROW][C]0.956[/C][C]0.00553227056345087[/C][C]0.000131871056114465[/C][/ROW]
[ROW][C]0.957[/C][C]0.00554899627301004[/C][C]0.000152793697524495[/C][/ROW]
[ROW][C]0.958[/C][C]0.00556835166006226[/C][C]0.000176349190743798[/C][/ROW]
[ROW][C]0.959[/C][C]0.00559065606432821[/C][C]0.000202566376147108[/C][/ROW]
[ROW][C]0.96[/C][C]0.0056162337440461[/C][C]0.00023141807061029[/C][/ROW]
[ROW][C]0.961[/C][C]0.0056454068119373[/C][C]0.000262784705300306[/C][/ROW]
[ROW][C]0.962[/C][C]0.00567848695701482[/C][C]0.00029648317328968[/C][/ROW]
[ROW][C]0.963[/C][C]0.00571576606107661[/C][C]0.000332230853009411[/C][/ROW]
[ROW][C]0.964[/C][C]0.00575750587301869[/C][C]0.000369657993142162[/C][/ROW]
[ROW][C]0.965[/C][C]0.00580392695566088[/C][C]0.000408299321738373[/C][/ROW]
[ROW][C]0.966[/C][C]0.00585519716823738[/C][C]0.000447605901190284[/C][/ROW]
[ROW][C]0.967[/C][C]0.00591141999497717[/C][C]0.000486938967314476[/C][/ROW]
[ROW][C]0.968[/C][C]0.00597262308099277[/C][C]0.000525595667642368[/C][/ROW]
[ROW][C]0.969[/C][C]0.00603874739869864[/C][C]0.000562809556607506[/C][/ROW]
[ROW][C]0.97[/C][C]0.00610963755157901[/C][C]0.00059777245908405[/C][/ROW]
[ROW][C]0.971[/C][C]0.00618503383958419[/C][C]0.000629648995615177[/C][/ROW]
[ROW][C]0.972[/C][C]0.00626456687455039[/C][C]0.000657588049979236[/C][/ROW]
[ROW][C]0.973[/C][C]0.00634775575642729[/C][C]0.000680761307776742[/C][/ROW]
[ROW][C]0.974[/C][C]0.00643401111033839[/C][C]0.00069836912453828[/C][/ROW]
[ROW][C]0.975[/C][C]0.00652264464452981[/C][C]0.000709683103345483[/C][/ROW]
[ROW][C]0.976[/C][C]0.00661288731843014[/C][C]0.000714076581526293[/C][/ROW]
[ROW][C]0.977[/C][C]0.00670391870132567[/C][C]0.00071107879706497[/C][/ROW]
[ROW][C]0.978[/C][C]0.0067949106450691[/C][C]0.000700421927691097[/C][/ROW]
[ROW][C]0.979[/C][C]0.00688508897887742[/C][C]0.000682124439952689[/C][/ROW]
[ROW][C]0.98[/C][C]0.00697381755734983[/C][C]0.000656564130872786[/C][/ROW]
[ROW][C]0.981[/C][C]0.00706070966357777[/C][C]0.00062458386189484[/C][/ROW]
[ROW][C]0.982[/C][C]0.00714577250761599[/C][C]0.000587614185831166[/C][/ROW]
[ROW][C]0.983[/C][C]0.00722959136884278[/C][C]0.000547840206542671[/C][/ROW]
[ROW][C]0.984[/C][C]0.00731356069809647[/C][C]0.000508489126320982[/C][/ROW]
[ROW][C]0.985[/C][C]0.00740016976731015[/C][C]0.000474283195075332[/C][/ROW]
[ROW][C]0.986[/C][C]0.0074933489707978[/C][C]0.000452113555351379[/C][/ROW]
[ROW][C]0.987[/C][C]0.00759887680532051[/C][C]0.000451544182943588[/C][/ROW]
[ROW][C]0.988[/C][C]0.00772483143217865[/C][C]0.000483998465082404[/C][/ROW]
[ROW][C]0.989[/C][C]0.00788203559106034[/C][C]0.000560153486998232[/C][/ROW]
[ROW][C]0.99[/C][C]0.00808437739020087[/C][C]0.00068803715371007[/C][/ROW]
[ROW][C]0.991[/C][C]0.00834878071684393[/C][C]0.000873925911801041[/C][/ROW]
[ROW][C]0.992[/C][C]0.0086944474050454[/C][C]0.00112405794846823[/C][/ROW]
[ROW][C]0.993[/C][C]0.00914082972583189[/C][C]0.00144481277312584[/C][/ROW]
[ROW][C]0.994[/C][C]0.00970370688512756[/C][C]0.001841118662531[/C][/ROW]
[ROW][C]0.995[/C][C]0.0103889092334662[/C][C]0.00231316513707023[/C][/ROW]
[ROW][C]0.996[/C][C]0.0111839129507478[/C][C]0.00285139139651607[/C][/ROW]
[ROW][C]0.997[/C][C]0.0120489543415609[/C][C]0.00343036571541671[/C][/ROW]
[ROW][C]0.998[/C][C]0.0129114700921509[/C][C]0.00400402597127264[/C][/ROW]
[ROW][C]0.999[/C][C]0.0136698947946714[/C][C]0.00450681595093051[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97857&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97857&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
0.90.004768382012708550.000621315552496029
0.9010.004806184926234140.000595974710407661
0.9020.004842526692352890.000570845515694821
0.9030.004877417649472960.000545977718137468
0.9040.004910871426796590.000521421172069095
0.9050.004942904987593130.000497244007910017
0.9060.004973538609607040.00047348703879572
0.9070.005002795801823910.000450219562751411
0.9080.005030703159128320.000427491464067004
0.9090.005057290158636070.000405340820955487
0.910.005082588903581030.000383826403885038
0.9110.005106633822504290.000362984630252484
0.9120.005129461333054950.000342847924613528
0.9130.005151109480906230.000323444745671656
0.9140.005171617565069990.000304798219115514
0.9150.005191025761225490.000286919371832946
0.9160.005209374754553280.000269814639276092
0.9170.005226705392989890.000253484734442001
0.9180.005243058370822740.000237919576440314
0.9190.00525847395117470.000223108430278054
0.920.005272991734251780.000209028058135169
0.9210.005286650476327750.000195656559072838
0.9220.005299487962412270.000182971454342174
0.9230.005311540933499990.000170944582319542
0.9240.005322845067337140.000159540541961131
0.9250.005333435009882160.000148738736927767
0.9260.005343344453183660.000138501831121921
0.9270.005352606254352580.000128812797002589
0.9280.005361252589750410.000119642936266697
0.9290.005369315138518270.000110971189031583
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0.9990.01366989479467140.00450681595093051


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.90 ; par2 = 0.999 ; par3 = 0.001 ;
Parameters (R input):
par1 = 0.90 ; par2 = 0.999 ; par3 = 0.001 ;
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')