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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 computationThu, 06 Oct 2016 21:18:21 +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/Oct/06/t1475785217dl6rl0urdkke3x3.htm/, Retrieved Sat, 04 May 2024 19:30:33 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 19:30:33 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1859
1869
1858
1859
1878
1876
1869
1888
1874
1872
1885
1878
1868
1879
1873
1863
1880
1886
1880
1901
1900
1901
1922
1917
1918
1927
1926
1926
1945
1940
1934
1945
1940
1935
1945
1937
1932
1947
1943
1941
1951
1951
1944
1962
1968
1969
1972
1954
1959
1971
1963
1964
1986
1972
1975
1993
1983
1997
2000
1995
1991
2001
1993
1995
2010
2005
2008
2028
2015
2023
2031
2027

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011858.396699195021.11019919743658
0.021859.1771089471.83466787363271
0.031860.321226804942.91039200082044
0.041861.777369542343.81514471882646
0.051863.43134695874.27319735577627
0.061865.134848161184.29950065868139
0.071866.763731674524.0765504966117
0.081868.252653394993.80943595276072
0.091869.592733286793.61900440352448
0.11870.808777629723.53537170815402
0.111871.935824956253.53196965712377
0.121873.005133608033.57158916603441
0.131874.040307366653.64113043072321
0.141875.05975080843.74678081663092
0.151876.081237009383.91774541673043
0.161877.125773129184.19308232654914
0.171878.219510952994.60921667309637
0.181879.393521493295.19458509095747
0.191880.681816351465.95907653086096
0.21882.118232928086.88829510400549
0.211883.732855167987.95150703116587
0.221885.548591393079.10538419464982
0.231887.5784102690610.2927811328452
0.241889.8235728865611.454423176036
0.251892.2730244296812.5314788190045
0.261894.9039507623513.4625641195644
0.271897.6833797377714.2062115880397
0.281900.5706171330714.7254955623505
0.291903.5202474799915.0056757581053
0.31906.4853943488815.0371583501498
0.311909.4209209105414.8411585575198
0.321912.2862634229614.4433614533096
0.331915.0476335637313.8818938110562
0.341917.6794030293213.201168474711
0.351920.1645904234912.451987799148
0.361922.4944915439211.6738648015242
0.371924.6676082813710.9028494356996
0.381926.688116096210.1659957953211
0.391928.564149030759.47982859400756
0.41930.306169042478.8504602062578
0.411931.925629960528.27815210908209
0.421933.434061955227.75681898739827
0.431934.842610506737.28317750850233
0.441936.161983022316.85488082868033
0.451937.402698781276.47382711887588
0.461938.575508227836.14366799748001
0.471939.691843476355.86768371925229
0.481940.764177001945.66052081048179
0.491941.806192806775.52744160702105
0.51942.832708229685.47876910253976
0.511943.859321515735.52190190382723
0.521944.90179836585.65743753890542
0.531945.975248312245.87521536248282
0.541947.093176376726.16554398824523
0.551948.266523161646.50782333935
0.561949.50282254566.87730323301543
0.571950.805606134487.24812789656982
0.581952.174165087917.59776078742496
0.591953.603743429637.89927812070112
0.61955.086186265338.13690582546206
0.611956.611007837938.29880782925775
0.621958.166785533798.38519800968462
0.631959.74273384178.40198457155186
0.641961.330272404648.36508706014491
0.651962.924378742838.30090150604805
0.661964.524512513948.23551837960908
0.671966.134918637698.20075325181238
0.681967.764166797838.22053830694054
0.691969.423869974618.31216409908658
0.71971.126645791748.48027326506885
0.711972.883533165838.70988566928899
0.721974.701230915818.97158603402814
0.731976.579648664099.21921375965387
0.741978.510310022239.40237947391317
0.751980.476085430599.47381178945372
0.761982.452540264449.39715225808896
0.771984.41088112799.1551207855159
0.781986.322127260258.75376502864707
0.791988.161812376588.22399309420552
0.81989.914330113377.62043781584537
0.811991.576046149017.00677691604779
0.821993.156535699966.45302450934639
0.831994.677728481846.01797456091563
0.841996.171260526315.74011521843535
0.851997.674813387765.63105588689663
0.861999.228520862725.67320046973313
0.872000.872492392745.83902525297723
0.882002.645999664176.09565435559872
0.892004.587816745516.42428839951126
0.92006.735719904656.81621928395069
0.912009.121824551617.25767215994329
0.922011.760510544117.69567712335164
0.932014.6288612178.00736371915012
0.942017.646805278047.99642804412916
0.952020.673256720617.46296965416747
0.962023.536497390726.33122437805992
0.972026.095422747574.79674781302811
0.982028.275157037383.40273288462871
0.992029.988818433652.8297296303684

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1858.39669919502 & 1.11019919743658 \tabularnewline
0.02 & 1859.177108947 & 1.83466787363271 \tabularnewline
0.03 & 1860.32122680494 & 2.91039200082044 \tabularnewline
0.04 & 1861.77736954234 & 3.81514471882646 \tabularnewline
0.05 & 1863.4313469587 & 4.27319735577627 \tabularnewline
0.06 & 1865.13484816118 & 4.29950065868139 \tabularnewline
0.07 & 1866.76373167452 & 4.0765504966117 \tabularnewline
0.08 & 1868.25265339499 & 3.80943595276072 \tabularnewline
0.09 & 1869.59273328679 & 3.61900440352448 \tabularnewline
0.1 & 1870.80877762972 & 3.53537170815402 \tabularnewline
0.11 & 1871.93582495625 & 3.53196965712377 \tabularnewline
0.12 & 1873.00513360803 & 3.57158916603441 \tabularnewline
0.13 & 1874.04030736665 & 3.64113043072321 \tabularnewline
0.14 & 1875.0597508084 & 3.74678081663092 \tabularnewline
0.15 & 1876.08123700938 & 3.91774541673043 \tabularnewline
0.16 & 1877.12577312918 & 4.19308232654914 \tabularnewline
0.17 & 1878.21951095299 & 4.60921667309637 \tabularnewline
0.18 & 1879.39352149329 & 5.19458509095747 \tabularnewline
0.19 & 1880.68181635146 & 5.95907653086096 \tabularnewline
0.2 & 1882.11823292808 & 6.88829510400549 \tabularnewline
0.21 & 1883.73285516798 & 7.95150703116587 \tabularnewline
0.22 & 1885.54859139307 & 9.10538419464982 \tabularnewline
0.23 & 1887.57841026906 & 10.2927811328452 \tabularnewline
0.24 & 1889.82357288656 & 11.454423176036 \tabularnewline
0.25 & 1892.27302442968 & 12.5314788190045 \tabularnewline
0.26 & 1894.90395076235 & 13.4625641195644 \tabularnewline
0.27 & 1897.68337973777 & 14.2062115880397 \tabularnewline
0.28 & 1900.57061713307 & 14.7254955623505 \tabularnewline
0.29 & 1903.52024747999 & 15.0056757581053 \tabularnewline
0.3 & 1906.48539434888 & 15.0371583501498 \tabularnewline
0.31 & 1909.42092091054 & 14.8411585575198 \tabularnewline
0.32 & 1912.28626342296 & 14.4433614533096 \tabularnewline
0.33 & 1915.04763356373 & 13.8818938110562 \tabularnewline
0.34 & 1917.67940302932 & 13.201168474711 \tabularnewline
0.35 & 1920.16459042349 & 12.451987799148 \tabularnewline
0.36 & 1922.49449154392 & 11.6738648015242 \tabularnewline
0.37 & 1924.66760828137 & 10.9028494356996 \tabularnewline
0.38 & 1926.6881160962 & 10.1659957953211 \tabularnewline
0.39 & 1928.56414903075 & 9.47982859400756 \tabularnewline
0.4 & 1930.30616904247 & 8.8504602062578 \tabularnewline
0.41 & 1931.92562996052 & 8.27815210908209 \tabularnewline
0.42 & 1933.43406195522 & 7.75681898739827 \tabularnewline
0.43 & 1934.84261050673 & 7.28317750850233 \tabularnewline
0.44 & 1936.16198302231 & 6.85488082868033 \tabularnewline
0.45 & 1937.40269878127 & 6.47382711887588 \tabularnewline
0.46 & 1938.57550822783 & 6.14366799748001 \tabularnewline
0.47 & 1939.69184347635 & 5.86768371925229 \tabularnewline
0.48 & 1940.76417700194 & 5.66052081048179 \tabularnewline
0.49 & 1941.80619280677 & 5.52744160702105 \tabularnewline
0.5 & 1942.83270822968 & 5.47876910253976 \tabularnewline
0.51 & 1943.85932151573 & 5.52190190382723 \tabularnewline
0.52 & 1944.9017983658 & 5.65743753890542 \tabularnewline
0.53 & 1945.97524831224 & 5.87521536248282 \tabularnewline
0.54 & 1947.09317637672 & 6.16554398824523 \tabularnewline
0.55 & 1948.26652316164 & 6.50782333935 \tabularnewline
0.56 & 1949.5028225456 & 6.87730323301543 \tabularnewline
0.57 & 1950.80560613448 & 7.24812789656982 \tabularnewline
0.58 & 1952.17416508791 & 7.59776078742496 \tabularnewline
0.59 & 1953.60374342963 & 7.89927812070112 \tabularnewline
0.6 & 1955.08618626533 & 8.13690582546206 \tabularnewline
0.61 & 1956.61100783793 & 8.29880782925775 \tabularnewline
0.62 & 1958.16678553379 & 8.38519800968462 \tabularnewline
0.63 & 1959.7427338417 & 8.40198457155186 \tabularnewline
0.64 & 1961.33027240464 & 8.36508706014491 \tabularnewline
0.65 & 1962.92437874283 & 8.30090150604805 \tabularnewline
0.66 & 1964.52451251394 & 8.23551837960908 \tabularnewline
0.67 & 1966.13491863769 & 8.20075325181238 \tabularnewline
0.68 & 1967.76416679783 & 8.22053830694054 \tabularnewline
0.69 & 1969.42386997461 & 8.31216409908658 \tabularnewline
0.7 & 1971.12664579174 & 8.48027326506885 \tabularnewline
0.71 & 1972.88353316583 & 8.70988566928899 \tabularnewline
0.72 & 1974.70123091581 & 8.97158603402814 \tabularnewline
0.73 & 1976.57964866409 & 9.21921375965387 \tabularnewline
0.74 & 1978.51031002223 & 9.40237947391317 \tabularnewline
0.75 & 1980.47608543059 & 9.47381178945372 \tabularnewline
0.76 & 1982.45254026444 & 9.39715225808896 \tabularnewline
0.77 & 1984.4108811279 & 9.1551207855159 \tabularnewline
0.78 & 1986.32212726025 & 8.75376502864707 \tabularnewline
0.79 & 1988.16181237658 & 8.22399309420552 \tabularnewline
0.8 & 1989.91433011337 & 7.62043781584537 \tabularnewline
0.81 & 1991.57604614901 & 7.00677691604779 \tabularnewline
0.82 & 1993.15653569996 & 6.45302450934639 \tabularnewline
0.83 & 1994.67772848184 & 6.01797456091563 \tabularnewline
0.84 & 1996.17126052631 & 5.74011521843535 \tabularnewline
0.85 & 1997.67481338776 & 5.63105588689663 \tabularnewline
0.86 & 1999.22852086272 & 5.67320046973313 \tabularnewline
0.87 & 2000.87249239274 & 5.83902525297723 \tabularnewline
0.88 & 2002.64599966417 & 6.09565435559872 \tabularnewline
0.89 & 2004.58781674551 & 6.42428839951126 \tabularnewline
0.9 & 2006.73571990465 & 6.81621928395069 \tabularnewline
0.91 & 2009.12182455161 & 7.25767215994329 \tabularnewline
0.92 & 2011.76051054411 & 7.69567712335164 \tabularnewline
0.93 & 2014.628861217 & 8.00736371915012 \tabularnewline
0.94 & 2017.64680527804 & 7.99642804412916 \tabularnewline
0.95 & 2020.67325672061 & 7.46296965416747 \tabularnewline
0.96 & 2023.53649739072 & 6.33122437805992 \tabularnewline
0.97 & 2026.09542274757 & 4.79674781302811 \tabularnewline
0.98 & 2028.27515703738 & 3.40273288462871 \tabularnewline
0.99 & 2029.98881843365 & 2.8297296303684 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]1858.39669919502[/C][C]1.11019919743658[/C][/ROW]
[ROW][C]0.02[/C][C]1859.177108947[/C][C]1.83466787363271[/C][/ROW]
[ROW][C]0.03[/C][C]1860.32122680494[/C][C]2.91039200082044[/C][/ROW]
[ROW][C]0.04[/C][C]1861.77736954234[/C][C]3.81514471882646[/C][/ROW]
[ROW][C]0.05[/C][C]1863.4313469587[/C][C]4.27319735577627[/C][/ROW]
[ROW][C]0.06[/C][C]1865.13484816118[/C][C]4.29950065868139[/C][/ROW]
[ROW][C]0.07[/C][C]1866.76373167452[/C][C]4.0765504966117[/C][/ROW]
[ROW][C]0.08[/C][C]1868.25265339499[/C][C]3.80943595276072[/C][/ROW]
[ROW][C]0.09[/C][C]1869.59273328679[/C][C]3.61900440352448[/C][/ROW]
[ROW][C]0.1[/C][C]1870.80877762972[/C][C]3.53537170815402[/C][/ROW]
[ROW][C]0.11[/C][C]1871.93582495625[/C][C]3.53196965712377[/C][/ROW]
[ROW][C]0.12[/C][C]1873.00513360803[/C][C]3.57158916603441[/C][/ROW]
[ROW][C]0.13[/C][C]1874.04030736665[/C][C]3.64113043072321[/C][/ROW]
[ROW][C]0.14[/C][C]1875.0597508084[/C][C]3.74678081663092[/C][/ROW]
[ROW][C]0.15[/C][C]1876.08123700938[/C][C]3.91774541673043[/C][/ROW]
[ROW][C]0.16[/C][C]1877.12577312918[/C][C]4.19308232654914[/C][/ROW]
[ROW][C]0.17[/C][C]1878.21951095299[/C][C]4.60921667309637[/C][/ROW]
[ROW][C]0.18[/C][C]1879.39352149329[/C][C]5.19458509095747[/C][/ROW]
[ROW][C]0.19[/C][C]1880.68181635146[/C][C]5.95907653086096[/C][/ROW]
[ROW][C]0.2[/C][C]1882.11823292808[/C][C]6.88829510400549[/C][/ROW]
[ROW][C]0.21[/C][C]1883.73285516798[/C][C]7.95150703116587[/C][/ROW]
[ROW][C]0.22[/C][C]1885.54859139307[/C][C]9.10538419464982[/C][/ROW]
[ROW][C]0.23[/C][C]1887.57841026906[/C][C]10.2927811328452[/C][/ROW]
[ROW][C]0.24[/C][C]1889.82357288656[/C][C]11.454423176036[/C][/ROW]
[ROW][C]0.25[/C][C]1892.27302442968[/C][C]12.5314788190045[/C][/ROW]
[ROW][C]0.26[/C][C]1894.90395076235[/C][C]13.4625641195644[/C][/ROW]
[ROW][C]0.27[/C][C]1897.68337973777[/C][C]14.2062115880397[/C][/ROW]
[ROW][C]0.28[/C][C]1900.57061713307[/C][C]14.7254955623505[/C][/ROW]
[ROW][C]0.29[/C][C]1903.52024747999[/C][C]15.0056757581053[/C][/ROW]
[ROW][C]0.3[/C][C]1906.48539434888[/C][C]15.0371583501498[/C][/ROW]
[ROW][C]0.31[/C][C]1909.42092091054[/C][C]14.8411585575198[/C][/ROW]
[ROW][C]0.32[/C][C]1912.28626342296[/C][C]14.4433614533096[/C][/ROW]
[ROW][C]0.33[/C][C]1915.04763356373[/C][C]13.8818938110562[/C][/ROW]
[ROW][C]0.34[/C][C]1917.67940302932[/C][C]13.201168474711[/C][/ROW]
[ROW][C]0.35[/C][C]1920.16459042349[/C][C]12.451987799148[/C][/ROW]
[ROW][C]0.36[/C][C]1922.49449154392[/C][C]11.6738648015242[/C][/ROW]
[ROW][C]0.37[/C][C]1924.66760828137[/C][C]10.9028494356996[/C][/ROW]
[ROW][C]0.38[/C][C]1926.6881160962[/C][C]10.1659957953211[/C][/ROW]
[ROW][C]0.39[/C][C]1928.56414903075[/C][C]9.47982859400756[/C][/ROW]
[ROW][C]0.4[/C][C]1930.30616904247[/C][C]8.8504602062578[/C][/ROW]
[ROW][C]0.41[/C][C]1931.92562996052[/C][C]8.27815210908209[/C][/ROW]
[ROW][C]0.42[/C][C]1933.43406195522[/C][C]7.75681898739827[/C][/ROW]
[ROW][C]0.43[/C][C]1934.84261050673[/C][C]7.28317750850233[/C][/ROW]
[ROW][C]0.44[/C][C]1936.16198302231[/C][C]6.85488082868033[/C][/ROW]
[ROW][C]0.45[/C][C]1937.40269878127[/C][C]6.47382711887588[/C][/ROW]
[ROW][C]0.46[/C][C]1938.57550822783[/C][C]6.14366799748001[/C][/ROW]
[ROW][C]0.47[/C][C]1939.69184347635[/C][C]5.86768371925229[/C][/ROW]
[ROW][C]0.48[/C][C]1940.76417700194[/C][C]5.66052081048179[/C][/ROW]
[ROW][C]0.49[/C][C]1941.80619280677[/C][C]5.52744160702105[/C][/ROW]
[ROW][C]0.5[/C][C]1942.83270822968[/C][C]5.47876910253976[/C][/ROW]
[ROW][C]0.51[/C][C]1943.85932151573[/C][C]5.52190190382723[/C][/ROW]
[ROW][C]0.52[/C][C]1944.9017983658[/C][C]5.65743753890542[/C][/ROW]
[ROW][C]0.53[/C][C]1945.97524831224[/C][C]5.87521536248282[/C][/ROW]
[ROW][C]0.54[/C][C]1947.09317637672[/C][C]6.16554398824523[/C][/ROW]
[ROW][C]0.55[/C][C]1948.26652316164[/C][C]6.50782333935[/C][/ROW]
[ROW][C]0.56[/C][C]1949.5028225456[/C][C]6.87730323301543[/C][/ROW]
[ROW][C]0.57[/C][C]1950.80560613448[/C][C]7.24812789656982[/C][/ROW]
[ROW][C]0.58[/C][C]1952.17416508791[/C][C]7.59776078742496[/C][/ROW]
[ROW][C]0.59[/C][C]1953.60374342963[/C][C]7.89927812070112[/C][/ROW]
[ROW][C]0.6[/C][C]1955.08618626533[/C][C]8.13690582546206[/C][/ROW]
[ROW][C]0.61[/C][C]1956.61100783793[/C][C]8.29880782925775[/C][/ROW]
[ROW][C]0.62[/C][C]1958.16678553379[/C][C]8.38519800968462[/C][/ROW]
[ROW][C]0.63[/C][C]1959.7427338417[/C][C]8.40198457155186[/C][/ROW]
[ROW][C]0.64[/C][C]1961.33027240464[/C][C]8.36508706014491[/C][/ROW]
[ROW][C]0.65[/C][C]1962.92437874283[/C][C]8.30090150604805[/C][/ROW]
[ROW][C]0.66[/C][C]1964.52451251394[/C][C]8.23551837960908[/C][/ROW]
[ROW][C]0.67[/C][C]1966.13491863769[/C][C]8.20075325181238[/C][/ROW]
[ROW][C]0.68[/C][C]1967.76416679783[/C][C]8.22053830694054[/C][/ROW]
[ROW][C]0.69[/C][C]1969.42386997461[/C][C]8.31216409908658[/C][/ROW]
[ROW][C]0.7[/C][C]1971.12664579174[/C][C]8.48027326506885[/C][/ROW]
[ROW][C]0.71[/C][C]1972.88353316583[/C][C]8.70988566928899[/C][/ROW]
[ROW][C]0.72[/C][C]1974.70123091581[/C][C]8.97158603402814[/C][/ROW]
[ROW][C]0.73[/C][C]1976.57964866409[/C][C]9.21921375965387[/C][/ROW]
[ROW][C]0.74[/C][C]1978.51031002223[/C][C]9.40237947391317[/C][/ROW]
[ROW][C]0.75[/C][C]1980.47608543059[/C][C]9.47381178945372[/C][/ROW]
[ROW][C]0.76[/C][C]1982.45254026444[/C][C]9.39715225808896[/C][/ROW]
[ROW][C]0.77[/C][C]1984.4108811279[/C][C]9.1551207855159[/C][/ROW]
[ROW][C]0.78[/C][C]1986.32212726025[/C][C]8.75376502864707[/C][/ROW]
[ROW][C]0.79[/C][C]1988.16181237658[/C][C]8.22399309420552[/C][/ROW]
[ROW][C]0.8[/C][C]1989.91433011337[/C][C]7.62043781584537[/C][/ROW]
[ROW][C]0.81[/C][C]1991.57604614901[/C][C]7.00677691604779[/C][/ROW]
[ROW][C]0.82[/C][C]1993.15653569996[/C][C]6.45302450934639[/C][/ROW]
[ROW][C]0.83[/C][C]1994.67772848184[/C][C]6.01797456091563[/C][/ROW]
[ROW][C]0.84[/C][C]1996.17126052631[/C][C]5.74011521843535[/C][/ROW]
[ROW][C]0.85[/C][C]1997.67481338776[/C][C]5.63105588689663[/C][/ROW]
[ROW][C]0.86[/C][C]1999.22852086272[/C][C]5.67320046973313[/C][/ROW]
[ROW][C]0.87[/C][C]2000.87249239274[/C][C]5.83902525297723[/C][/ROW]
[ROW][C]0.88[/C][C]2002.64599966417[/C][C]6.09565435559872[/C][/ROW]
[ROW][C]0.89[/C][C]2004.58781674551[/C][C]6.42428839951126[/C][/ROW]
[ROW][C]0.9[/C][C]2006.73571990465[/C][C]6.81621928395069[/C][/ROW]
[ROW][C]0.91[/C][C]2009.12182455161[/C][C]7.25767215994329[/C][/ROW]
[ROW][C]0.92[/C][C]2011.76051054411[/C][C]7.69567712335164[/C][/ROW]
[ROW][C]0.93[/C][C]2014.628861217[/C][C]8.00736371915012[/C][/ROW]
[ROW][C]0.94[/C][C]2017.64680527804[/C][C]7.99642804412916[/C][/ROW]
[ROW][C]0.95[/C][C]2020.67325672061[/C][C]7.46296965416747[/C][/ROW]
[ROW][C]0.96[/C][C]2023.53649739072[/C][C]6.33122437805992[/C][/ROW]
[ROW][C]0.97[/C][C]2026.09542274757[/C][C]4.79674781302811[/C][/ROW]
[ROW][C]0.98[/C][C]2028.27515703738[/C][C]3.40273288462871[/C][/ROW]
[ROW][C]0.99[/C][C]2029.98881843365[/C][C]2.8297296303684[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.011858.396699195021.11019919743658
0.021859.1771089471.83466787363271
0.031860.321226804942.91039200082044
0.041861.777369542343.81514471882646
0.051863.43134695874.27319735577627
0.061865.134848161184.29950065868139
0.071866.763731674524.0765504966117
0.081868.252653394993.80943595276072
0.091869.592733286793.61900440352448
0.11870.808777629723.53537170815402
0.111871.935824956253.53196965712377
0.121873.005133608033.57158916603441
0.131874.040307366653.64113043072321
0.141875.05975080843.74678081663092
0.151876.081237009383.91774541673043
0.161877.125773129184.19308232654914
0.171878.219510952994.60921667309637
0.181879.393521493295.19458509095747
0.191880.681816351465.95907653086096
0.21882.118232928086.88829510400549
0.211883.732855167987.95150703116587
0.221885.548591393079.10538419464982
0.231887.5784102690610.2927811328452
0.241889.8235728865611.454423176036
0.251892.2730244296812.5314788190045
0.261894.9039507623513.4625641195644
0.271897.6833797377714.2062115880397
0.281900.5706171330714.7254955623505
0.291903.5202474799915.0056757581053
0.31906.4853943488815.0371583501498
0.311909.4209209105414.8411585575198
0.321912.2862634229614.4433614533096
0.331915.0476335637313.8818938110562
0.341917.6794030293213.201168474711
0.351920.1645904234912.451987799148
0.361922.4944915439211.6738648015242
0.371924.6676082813710.9028494356996
0.381926.688116096210.1659957953211
0.391928.564149030759.47982859400756
0.41930.306169042478.8504602062578
0.411931.925629960528.27815210908209
0.421933.434061955227.75681898739827
0.431934.842610506737.28317750850233
0.441936.161983022316.85488082868033
0.451937.402698781276.47382711887588
0.461938.575508227836.14366799748001
0.471939.691843476355.86768371925229
0.481940.764177001945.66052081048179
0.491941.806192806775.52744160702105
0.51942.832708229685.47876910253976
0.511943.859321515735.52190190382723
0.521944.90179836585.65743753890542
0.531945.975248312245.87521536248282
0.541947.093176376726.16554398824523
0.551948.266523161646.50782333935
0.561949.50282254566.87730323301543
0.571950.805606134487.24812789656982
0.581952.174165087917.59776078742496
0.591953.603743429637.89927812070112
0.61955.086186265338.13690582546206
0.611956.611007837938.29880782925775
0.621958.166785533798.38519800968462
0.631959.74273384178.40198457155186
0.641961.330272404648.36508706014491
0.651962.924378742838.30090150604805
0.661964.524512513948.23551837960908
0.671966.134918637698.20075325181238
0.681967.764166797838.22053830694054
0.691969.423869974618.31216409908658
0.71971.126645791748.48027326506885
0.711972.883533165838.70988566928899
0.721974.701230915818.97158603402814
0.731976.579648664099.21921375965387
0.741978.510310022239.40237947391317
0.751980.476085430599.47381178945372
0.761982.452540264449.39715225808896
0.771984.41088112799.1551207855159
0.781986.322127260258.75376502864707
0.791988.161812376588.22399309420552
0.81989.914330113377.62043781584537
0.811991.576046149017.00677691604779
0.821993.156535699966.45302450934639
0.831994.677728481846.01797456091563
0.841996.171260526315.74011521843535
0.851997.674813387765.63105588689663
0.861999.228520862725.67320046973313
0.872000.872492392745.83902525297723
0.882002.645999664176.09565435559872
0.892004.587816745516.42428839951126
0.92006.735719904656.81621928395069
0.912009.121824551617.25767215994329
0.922011.760510544117.69567712335164
0.932014.6288612178.00736371915012
0.942017.646805278047.99642804412916
0.952020.673256720617.46296965416747
0.962023.536497390726.33122437805992
0.972026.095422747574.79674781302811
0.982028.275157037383.40273288462871
0.992029.988818433652.8297296303684


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')