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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 16 Dec 2007 07:32:19 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/16/t1197814559uxz0kdcnc0wur5j.htm/, Retrieved Thu, 02 May 2024 03:12:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4185, Retrieved Thu, 02 May 2024 03:12:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact178

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] [Percentiles - Duu...] [2007-12-16 14:32:19] [014bfc073eb4f6c1ae65a07cc44c50c0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
106,7
100,6
101,2
93,1
84,2
85,8
91,8
92,4
80,3
79,7
62,5
57,1
100,8
100,7
86,2
83,2
71,7
77,5
89,8
80,3
78,7
93,8
57,6
60,6
91
85,3
77,4
77,3
68,3
69,9
81,7
75,1
69,9
84
54,3
60
89,9
77
85,3
77,6
69,2
75,5
85,7
72,2
79,9
85,3
52,2
61,2
82,4
85,4
78,2
70,2
70,2
69,3
77,5
66,1
69
75,3
58,2
59,7

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4185&T=0

[TABLE]
[ROW][C]Summary of compuational 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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4185&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4185&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0152.79666641181332.10858774191082
0.0253.73816218590932.16052635426188
0.0354.79013589985042.12265615098416
0.0455.7867862804041.97497940726682
0.0556.65993699833241.79687594793796
0.0657.40808762164491.67523708765208
0.0758.06057769230641.64721958302532
0.0858.65438391787131.70745171223472
0.0959.22308478241721.84039672663064
0.159.79331232067062.03540853118665
0.1160.38451124698782.28189948668754
0.1261.00939966463772.56178259595801
0.1361.67410574602722.84754681190157
0.1462.37806414520163.10620064092600
0.1563.11420977723433.30601655065035
0.1663.86992053545323.42238418694974
0.1764.62881006310073.44226057668622
0.1865.3731173097323.36621270475714
0.1966.08623350175663.20715640176996
0.266.75488637474432.98750586281637
0.2167.37062498587012.73558240281229
0.2267.93044217075432.48081081104348
0.2368.43656423656932.25074012264386
0.2468.89558003982572.06760823389948
0.2569.3171542380081.94691566371675
0.2669.71257679650091.89442781810033
0.2770.09336211369991.90702216471159
0.2870.47004998850961.9732348469042
0.2970.85129699013922.07707923091889
0.371.24329288948992.20118057129507
0.3171.64949721975862.32856911793897
0.3272.0706648170222.44463479046014
0.3372.50511294964912.53697144270824
0.3472.94917298022252.59672234960641
0.3573.3977643132922.61848705521343
0.3673.84502700039192.60041957512432
0.3774.28495197734332.54414788779125
0.3874.71195472845212.45435958744336
0.3975.12134891647822.33805396182996
0.475.50969019309452.20367454862506
0.4175.87497549398492.06051659022477
0.4276.2166979460881.9181383805271
0.4376.53577058770211.78504683590781
0.4476.83434235750751.66872333886211
0.4577.11553664492421.57522233982371
0.4677.3831459053651.50796291344978
0.4777.64131551044851.46848568509662
0.4877.89424642224951.45575770165452
0.4978.14593996120741.46698419467683
0.578.39999963766941.49825047015267
0.5178.65949576670581.54512319711867
0.5278.9268896341161.60302477607813
0.5379.20400664414941.66805535295472
0.5479.49204330119031.73655958226568
0.5579.79159177205741.80559895921938
0.5680.1026682241551.87197841043154
0.5780.42473651909791.93302089107554
0.5880.7567259441441.9857885180895
0.5981.0970489210122.0273693913855
0.681.44363047144692.05482817106354
0.6181.79396439023552.06558136289176
0.6282.14521087883822.05773761045568
0.6382.49434675085142.03008662004763
0.6482.83837270132071.98297376212351
0.6583.17457336024771.91819255560641
0.6683.5008159086361.83917976213016
0.6783.81586293668521.75155367193812
0.6884.11966601407681.66241041239263
0.6984.41359931653991.58047757601649
0.784.70058910481611.51589829343127
0.7184.98509672210421.47885172606213
0.7285.27292205337961.47846763094404
0.7385.57081268596811.52051376017953
0.7485.88589174257461.60552386631076
0.7586.22495284776291.72809569659068
0.7686.59370952110711.87766402518334
0.7786.9961212965772.03988806463589
0.7887.43394095016562.19908453443097
0.7987.90662688200482.34025741488452
0.888.4117338028982.45155726426291
0.8188.94582799260442.52683363649248
0.8289.50586867901642.56772577842248
0.8390.09085759525492.58520011203761
0.8490.70339639729392.59956160893966
0.8591.35063546007712.63813854765327
0.8692.04400527986272.72867991221480
0.8792.79718561912752.88813312445923
0.8893.62209993903433.10958699008747
0.8994.52340541755863.35450503162151
0.995.49294988234353.55636115102335
0.9196.50676017498663.63589689694348
0.9297.52786947157813.52607096196989
0.9398.51805460663673.20269418984545
0.9499.45943176074932.71219998545684
0.95100.3812656958152.19512304817643
0.96101.3760464328151.92302113610943
0.97102.5727793725382.24432240530761
0.98104.0308747253523.1996008340078
0.99105.5700318153784.44086188131485

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 52.7966664118133 & 2.10858774191082 \tabularnewline
0.02 & 53.7381621859093 & 2.16052635426188 \tabularnewline
0.03 & 54.7901358998504 & 2.12265615098416 \tabularnewline
0.04 & 55.786786280404 & 1.97497940726682 \tabularnewline
0.05 & 56.6599369983324 & 1.79687594793796 \tabularnewline
0.06 & 57.4080876216449 & 1.67523708765208 \tabularnewline
0.07 & 58.0605776923064 & 1.64721958302532 \tabularnewline
0.08 & 58.6543839178713 & 1.70745171223472 \tabularnewline
0.09 & 59.2230847824172 & 1.84039672663064 \tabularnewline
0.1 & 59.7933123206706 & 2.03540853118665 \tabularnewline
0.11 & 60.3845112469878 & 2.28189948668754 \tabularnewline
0.12 & 61.0093996646377 & 2.56178259595801 \tabularnewline
0.13 & 61.6741057460272 & 2.84754681190157 \tabularnewline
0.14 & 62.3780641452016 & 3.10620064092600 \tabularnewline
0.15 & 63.1142097772343 & 3.30601655065035 \tabularnewline
0.16 & 63.8699205354532 & 3.42238418694974 \tabularnewline
0.17 & 64.6288100631007 & 3.44226057668622 \tabularnewline
0.18 & 65.373117309732 & 3.36621270475714 \tabularnewline
0.19 & 66.0862335017566 & 3.20715640176996 \tabularnewline
0.2 & 66.7548863747443 & 2.98750586281637 \tabularnewline
0.21 & 67.3706249858701 & 2.73558240281229 \tabularnewline
0.22 & 67.9304421707543 & 2.48081081104348 \tabularnewline
0.23 & 68.4365642365693 & 2.25074012264386 \tabularnewline
0.24 & 68.8955800398257 & 2.06760823389948 \tabularnewline
0.25 & 69.317154238008 & 1.94691566371675 \tabularnewline
0.26 & 69.7125767965009 & 1.89442781810033 \tabularnewline
0.27 & 70.0933621136999 & 1.90702216471159 \tabularnewline
0.28 & 70.4700499885096 & 1.9732348469042 \tabularnewline
0.29 & 70.8512969901392 & 2.07707923091889 \tabularnewline
0.3 & 71.2432928894899 & 2.20118057129507 \tabularnewline
0.31 & 71.6494972197586 & 2.32856911793897 \tabularnewline
0.32 & 72.070664817022 & 2.44463479046014 \tabularnewline
0.33 & 72.5051129496491 & 2.53697144270824 \tabularnewline
0.34 & 72.9491729802225 & 2.59672234960641 \tabularnewline
0.35 & 73.397764313292 & 2.61848705521343 \tabularnewline
0.36 & 73.8450270003919 & 2.60041957512432 \tabularnewline
0.37 & 74.2849519773433 & 2.54414788779125 \tabularnewline
0.38 & 74.7119547284521 & 2.45435958744336 \tabularnewline
0.39 & 75.1213489164782 & 2.33805396182996 \tabularnewline
0.4 & 75.5096901930945 & 2.20367454862506 \tabularnewline
0.41 & 75.8749754939849 & 2.06051659022477 \tabularnewline
0.42 & 76.216697946088 & 1.9181383805271 \tabularnewline
0.43 & 76.5357705877021 & 1.78504683590781 \tabularnewline
0.44 & 76.8343423575075 & 1.66872333886211 \tabularnewline
0.45 & 77.1155366449242 & 1.57522233982371 \tabularnewline
0.46 & 77.383145905365 & 1.50796291344978 \tabularnewline
0.47 & 77.6413155104485 & 1.46848568509662 \tabularnewline
0.48 & 77.8942464222495 & 1.45575770165452 \tabularnewline
0.49 & 78.1459399612074 & 1.46698419467683 \tabularnewline
0.5 & 78.3999996376694 & 1.49825047015267 \tabularnewline
0.51 & 78.6594957667058 & 1.54512319711867 \tabularnewline
0.52 & 78.926889634116 & 1.60302477607813 \tabularnewline
0.53 & 79.2040066441494 & 1.66805535295472 \tabularnewline
0.54 & 79.4920433011903 & 1.73655958226568 \tabularnewline
0.55 & 79.7915917720574 & 1.80559895921938 \tabularnewline
0.56 & 80.102668224155 & 1.87197841043154 \tabularnewline
0.57 & 80.4247365190979 & 1.93302089107554 \tabularnewline
0.58 & 80.756725944144 & 1.9857885180895 \tabularnewline
0.59 & 81.097048921012 & 2.0273693913855 \tabularnewline
0.6 & 81.4436304714469 & 2.05482817106354 \tabularnewline
0.61 & 81.7939643902355 & 2.06558136289176 \tabularnewline
0.62 & 82.1452108788382 & 2.05773761045568 \tabularnewline
0.63 & 82.4943467508514 & 2.03008662004763 \tabularnewline
0.64 & 82.8383727013207 & 1.98297376212351 \tabularnewline
0.65 & 83.1745733602477 & 1.91819255560641 \tabularnewline
0.66 & 83.500815908636 & 1.83917976213016 \tabularnewline
0.67 & 83.8158629366852 & 1.75155367193812 \tabularnewline
0.68 & 84.1196660140768 & 1.66241041239263 \tabularnewline
0.69 & 84.4135993165399 & 1.58047757601649 \tabularnewline
0.7 & 84.7005891048161 & 1.51589829343127 \tabularnewline
0.71 & 84.9850967221042 & 1.47885172606213 \tabularnewline
0.72 & 85.2729220533796 & 1.47846763094404 \tabularnewline
0.73 & 85.5708126859681 & 1.52051376017953 \tabularnewline
0.74 & 85.8858917425746 & 1.60552386631076 \tabularnewline
0.75 & 86.2249528477629 & 1.72809569659068 \tabularnewline
0.76 & 86.5937095211071 & 1.87766402518334 \tabularnewline
0.77 & 86.996121296577 & 2.03988806463589 \tabularnewline
0.78 & 87.4339409501656 & 2.19908453443097 \tabularnewline
0.79 & 87.9066268820048 & 2.34025741488452 \tabularnewline
0.8 & 88.411733802898 & 2.45155726426291 \tabularnewline
0.81 & 88.9458279926044 & 2.52683363649248 \tabularnewline
0.82 & 89.5058686790164 & 2.56772577842248 \tabularnewline
0.83 & 90.0908575952549 & 2.58520011203761 \tabularnewline
0.84 & 90.7033963972939 & 2.59956160893966 \tabularnewline
0.85 & 91.3506354600771 & 2.63813854765327 \tabularnewline
0.86 & 92.0440052798627 & 2.72867991221480 \tabularnewline
0.87 & 92.7971856191275 & 2.88813312445923 \tabularnewline
0.88 & 93.6220999390343 & 3.10958699008747 \tabularnewline
0.89 & 94.5234054175586 & 3.35450503162151 \tabularnewline
0.9 & 95.4929498823435 & 3.55636115102335 \tabularnewline
0.91 & 96.5067601749866 & 3.63589689694348 \tabularnewline
0.92 & 97.5278694715781 & 3.52607096196989 \tabularnewline
0.93 & 98.5180546066367 & 3.20269418984545 \tabularnewline
0.94 & 99.4594317607493 & 2.71219998545684 \tabularnewline
0.95 & 100.381265695815 & 2.19512304817643 \tabularnewline
0.96 & 101.376046432815 & 1.92302113610943 \tabularnewline
0.97 & 102.572779372538 & 2.24432240530761 \tabularnewline
0.98 & 104.030874725352 & 3.1996008340078 \tabularnewline
0.99 & 105.570031815378 & 4.44086188131485 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4185&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]52.7966664118133[/C][C]2.10858774191082[/C][/ROW]
[ROW][C]0.02[/C][C]53.7381621859093[/C][C]2.16052635426188[/C][/ROW]
[ROW][C]0.03[/C][C]54.7901358998504[/C][C]2.12265615098416[/C][/ROW]
[ROW][C]0.04[/C][C]55.786786280404[/C][C]1.97497940726682[/C][/ROW]
[ROW][C]0.05[/C][C]56.6599369983324[/C][C]1.79687594793796[/C][/ROW]
[ROW][C]0.06[/C][C]57.4080876216449[/C][C]1.67523708765208[/C][/ROW]
[ROW][C]0.07[/C][C]58.0605776923064[/C][C]1.64721958302532[/C][/ROW]
[ROW][C]0.08[/C][C]58.6543839178713[/C][C]1.70745171223472[/C][/ROW]
[ROW][C]0.09[/C][C]59.2230847824172[/C][C]1.84039672663064[/C][/ROW]
[ROW][C]0.1[/C][C]59.7933123206706[/C][C]2.03540853118665[/C][/ROW]
[ROW][C]0.11[/C][C]60.3845112469878[/C][C]2.28189948668754[/C][/ROW]
[ROW][C]0.12[/C][C]61.0093996646377[/C][C]2.56178259595801[/C][/ROW]
[ROW][C]0.13[/C][C]61.6741057460272[/C][C]2.84754681190157[/C][/ROW]
[ROW][C]0.14[/C][C]62.3780641452016[/C][C]3.10620064092600[/C][/ROW]
[ROW][C]0.15[/C][C]63.1142097772343[/C][C]3.30601655065035[/C][/ROW]
[ROW][C]0.16[/C][C]63.8699205354532[/C][C]3.42238418694974[/C][/ROW]
[ROW][C]0.17[/C][C]64.6288100631007[/C][C]3.44226057668622[/C][/ROW]
[ROW][C]0.18[/C][C]65.373117309732[/C][C]3.36621270475714[/C][/ROW]
[ROW][C]0.19[/C][C]66.0862335017566[/C][C]3.20715640176996[/C][/ROW]
[ROW][C]0.2[/C][C]66.7548863747443[/C][C]2.98750586281637[/C][/ROW]
[ROW][C]0.21[/C][C]67.3706249858701[/C][C]2.73558240281229[/C][/ROW]
[ROW][C]0.22[/C][C]67.9304421707543[/C][C]2.48081081104348[/C][/ROW]
[ROW][C]0.23[/C][C]68.4365642365693[/C][C]2.25074012264386[/C][/ROW]
[ROW][C]0.24[/C][C]68.8955800398257[/C][C]2.06760823389948[/C][/ROW]
[ROW][C]0.25[/C][C]69.317154238008[/C][C]1.94691566371675[/C][/ROW]
[ROW][C]0.26[/C][C]69.7125767965009[/C][C]1.89442781810033[/C][/ROW]
[ROW][C]0.27[/C][C]70.0933621136999[/C][C]1.90702216471159[/C][/ROW]
[ROW][C]0.28[/C][C]70.4700499885096[/C][C]1.9732348469042[/C][/ROW]
[ROW][C]0.29[/C][C]70.8512969901392[/C][C]2.07707923091889[/C][/ROW]
[ROW][C]0.3[/C][C]71.2432928894899[/C][C]2.20118057129507[/C][/ROW]
[ROW][C]0.31[/C][C]71.6494972197586[/C][C]2.32856911793897[/C][/ROW]
[ROW][C]0.32[/C][C]72.070664817022[/C][C]2.44463479046014[/C][/ROW]
[ROW][C]0.33[/C][C]72.5051129496491[/C][C]2.53697144270824[/C][/ROW]
[ROW][C]0.34[/C][C]72.9491729802225[/C][C]2.59672234960641[/C][/ROW]
[ROW][C]0.35[/C][C]73.397764313292[/C][C]2.61848705521343[/C][/ROW]
[ROW][C]0.36[/C][C]73.8450270003919[/C][C]2.60041957512432[/C][/ROW]
[ROW][C]0.37[/C][C]74.2849519773433[/C][C]2.54414788779125[/C][/ROW]
[ROW][C]0.38[/C][C]74.7119547284521[/C][C]2.45435958744336[/C][/ROW]
[ROW][C]0.39[/C][C]75.1213489164782[/C][C]2.33805396182996[/C][/ROW]
[ROW][C]0.4[/C][C]75.5096901930945[/C][C]2.20367454862506[/C][/ROW]
[ROW][C]0.41[/C][C]75.8749754939849[/C][C]2.06051659022477[/C][/ROW]
[ROW][C]0.42[/C][C]76.216697946088[/C][C]1.9181383805271[/C][/ROW]
[ROW][C]0.43[/C][C]76.5357705877021[/C][C]1.78504683590781[/C][/ROW]
[ROW][C]0.44[/C][C]76.8343423575075[/C][C]1.66872333886211[/C][/ROW]
[ROW][C]0.45[/C][C]77.1155366449242[/C][C]1.57522233982371[/C][/ROW]
[ROW][C]0.46[/C][C]77.383145905365[/C][C]1.50796291344978[/C][/ROW]
[ROW][C]0.47[/C][C]77.6413155104485[/C][C]1.46848568509662[/C][/ROW]
[ROW][C]0.48[/C][C]77.8942464222495[/C][C]1.45575770165452[/C][/ROW]
[ROW][C]0.49[/C][C]78.1459399612074[/C][C]1.46698419467683[/C][/ROW]
[ROW][C]0.5[/C][C]78.3999996376694[/C][C]1.49825047015267[/C][/ROW]
[ROW][C]0.51[/C][C]78.6594957667058[/C][C]1.54512319711867[/C][/ROW]
[ROW][C]0.52[/C][C]78.926889634116[/C][C]1.60302477607813[/C][/ROW]
[ROW][C]0.53[/C][C]79.2040066441494[/C][C]1.66805535295472[/C][/ROW]
[ROW][C]0.54[/C][C]79.4920433011903[/C][C]1.73655958226568[/C][/ROW]
[ROW][C]0.55[/C][C]79.7915917720574[/C][C]1.80559895921938[/C][/ROW]
[ROW][C]0.56[/C][C]80.102668224155[/C][C]1.87197841043154[/C][/ROW]
[ROW][C]0.57[/C][C]80.4247365190979[/C][C]1.93302089107554[/C][/ROW]
[ROW][C]0.58[/C][C]80.756725944144[/C][C]1.9857885180895[/C][/ROW]
[ROW][C]0.59[/C][C]81.097048921012[/C][C]2.0273693913855[/C][/ROW]
[ROW][C]0.6[/C][C]81.4436304714469[/C][C]2.05482817106354[/C][/ROW]
[ROW][C]0.61[/C][C]81.7939643902355[/C][C]2.06558136289176[/C][/ROW]
[ROW][C]0.62[/C][C]82.1452108788382[/C][C]2.05773761045568[/C][/ROW]
[ROW][C]0.63[/C][C]82.4943467508514[/C][C]2.03008662004763[/C][/ROW]
[ROW][C]0.64[/C][C]82.8383727013207[/C][C]1.98297376212351[/C][/ROW]
[ROW][C]0.65[/C][C]83.1745733602477[/C][C]1.91819255560641[/C][/ROW]
[ROW][C]0.66[/C][C]83.500815908636[/C][C]1.83917976213016[/C][/ROW]
[ROW][C]0.67[/C][C]83.8158629366852[/C][C]1.75155367193812[/C][/ROW]
[ROW][C]0.68[/C][C]84.1196660140768[/C][C]1.66241041239263[/C][/ROW]
[ROW][C]0.69[/C][C]84.4135993165399[/C][C]1.58047757601649[/C][/ROW]
[ROW][C]0.7[/C][C]84.7005891048161[/C][C]1.51589829343127[/C][/ROW]
[ROW][C]0.71[/C][C]84.9850967221042[/C][C]1.47885172606213[/C][/ROW]
[ROW][C]0.72[/C][C]85.2729220533796[/C][C]1.47846763094404[/C][/ROW]
[ROW][C]0.73[/C][C]85.5708126859681[/C][C]1.52051376017953[/C][/ROW]
[ROW][C]0.74[/C][C]85.8858917425746[/C][C]1.60552386631076[/C][/ROW]
[ROW][C]0.75[/C][C]86.2249528477629[/C][C]1.72809569659068[/C][/ROW]
[ROW][C]0.76[/C][C]86.5937095211071[/C][C]1.87766402518334[/C][/ROW]
[ROW][C]0.77[/C][C]86.996121296577[/C][C]2.03988806463589[/C][/ROW]
[ROW][C]0.78[/C][C]87.4339409501656[/C][C]2.19908453443097[/C][/ROW]
[ROW][C]0.79[/C][C]87.9066268820048[/C][C]2.34025741488452[/C][/ROW]
[ROW][C]0.8[/C][C]88.411733802898[/C][C]2.45155726426291[/C][/ROW]
[ROW][C]0.81[/C][C]88.9458279926044[/C][C]2.52683363649248[/C][/ROW]
[ROW][C]0.82[/C][C]89.5058686790164[/C][C]2.56772577842248[/C][/ROW]
[ROW][C]0.83[/C][C]90.0908575952549[/C][C]2.58520011203761[/C][/ROW]
[ROW][C]0.84[/C][C]90.7033963972939[/C][C]2.59956160893966[/C][/ROW]
[ROW][C]0.85[/C][C]91.3506354600771[/C][C]2.63813854765327[/C][/ROW]
[ROW][C]0.86[/C][C]92.0440052798627[/C][C]2.72867991221480[/C][/ROW]
[ROW][C]0.87[/C][C]92.7971856191275[/C][C]2.88813312445923[/C][/ROW]
[ROW][C]0.88[/C][C]93.6220999390343[/C][C]3.10958699008747[/C][/ROW]
[ROW][C]0.89[/C][C]94.5234054175586[/C][C]3.35450503162151[/C][/ROW]
[ROW][C]0.9[/C][C]95.4929498823435[/C][C]3.55636115102335[/C][/ROW]
[ROW][C]0.91[/C][C]96.5067601749866[/C][C]3.63589689694348[/C][/ROW]
[ROW][C]0.92[/C][C]97.5278694715781[/C][C]3.52607096196989[/C][/ROW]
[ROW][C]0.93[/C][C]98.5180546066367[/C][C]3.20269418984545[/C][/ROW]
[ROW][C]0.94[/C][C]99.4594317607493[/C][C]2.71219998545684[/C][/ROW]
[ROW][C]0.95[/C][C]100.381265695815[/C][C]2.19512304817643[/C][/ROW]
[ROW][C]0.96[/C][C]101.376046432815[/C][C]1.92302113610943[/C][/ROW]
[ROW][C]0.97[/C][C]102.572779372538[/C][C]2.24432240530761[/C][/ROW]
[ROW][C]0.98[/C][C]104.030874725352[/C][C]3.1996008340078[/C][/ROW]
[ROW][C]0.99[/C][C]105.570031815378[/C][C]4.44086188131485[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4185&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4185&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
0.0152.79666641181332.10858774191082
0.0253.73816218590932.16052635426188
0.0354.79013589985042.12265615098416
0.0455.7867862804041.97497940726682
0.0556.65993699833241.79687594793796
0.0657.40808762164491.67523708765208
0.0758.06057769230641.64721958302532
0.0858.65438391787131.70745171223472
0.0959.22308478241721.84039672663064
0.159.79331232067062.03540853118665
0.1160.38451124698782.28189948668754
0.1261.00939966463772.56178259595801
0.1361.67410574602722.84754681190157
0.1462.37806414520163.10620064092600
0.1563.11420977723433.30601655065035
0.1663.86992053545323.42238418694974
0.1764.62881006310073.44226057668622
0.1865.3731173097323.36621270475714
0.1966.08623350175663.20715640176996
0.266.75488637474432.98750586281637
0.2167.37062498587012.73558240281229
0.2267.93044217075432.48081081104348
0.2368.43656423656932.25074012264386
0.2468.89558003982572.06760823389948
0.2569.3171542380081.94691566371675
0.2669.71257679650091.89442781810033
0.2770.09336211369991.90702216471159
0.2870.47004998850961.9732348469042
0.2970.85129699013922.07707923091889
0.371.24329288948992.20118057129507
0.3171.64949721975862.32856911793897
0.3272.0706648170222.44463479046014
0.3372.50511294964912.53697144270824
0.3472.94917298022252.59672234960641
0.3573.3977643132922.61848705521343
0.3673.84502700039192.60041957512432
0.3774.28495197734332.54414788779125
0.3874.71195472845212.45435958744336
0.3975.12134891647822.33805396182996
0.475.50969019309452.20367454862506
0.4175.87497549398492.06051659022477
0.4276.2166979460881.9181383805271
0.4376.53577058770211.78504683590781
0.4476.83434235750751.66872333886211
0.4577.11553664492421.57522233982371
0.4677.3831459053651.50796291344978
0.4777.64131551044851.46848568509662
0.4877.89424642224951.45575770165452
0.4978.14593996120741.46698419467683
0.578.39999963766941.49825047015267
0.5178.65949576670581.54512319711867
0.5278.9268896341161.60302477607813
0.5379.20400664414941.66805535295472
0.5479.49204330119031.73655958226568
0.5579.79159177205741.80559895921938
0.5680.1026682241551.87197841043154
0.5780.42473651909791.93302089107554
0.5880.7567259441441.9857885180895
0.5981.0970489210122.0273693913855
0.681.44363047144692.05482817106354
0.6181.79396439023552.06558136289176
0.6282.14521087883822.05773761045568
0.6382.49434675085142.03008662004763
0.6482.83837270132071.98297376212351
0.6583.17457336024771.91819255560641
0.6683.5008159086361.83917976213016
0.6783.81586293668521.75155367193812
0.6884.11966601407681.66241041239263
0.6984.41359931653991.58047757601649
0.784.70058910481611.51589829343127
0.7184.98509672210421.47885172606213
0.7285.27292205337961.47846763094404
0.7385.57081268596811.52051376017953
0.7485.88589174257461.60552386631076
0.7586.22495284776291.72809569659068
0.7686.59370952110711.87766402518334
0.7786.9961212965772.03988806463589
0.7887.43394095016562.19908453443097
0.7987.90662688200482.34025741488452
0.888.4117338028982.45155726426291
0.8188.94582799260442.52683363649248
0.8289.50586867901642.56772577842248
0.8390.09085759525492.58520011203761
0.8490.70339639729392.59956160893966
0.8591.35063546007712.63813854765327
0.8692.04400527986272.72867991221480
0.8792.79718561912752.88813312445923
0.8893.62209993903433.10958699008747
0.8994.52340541755863.35450503162151
0.995.49294988234353.55636115102335
0.9196.50676017498663.63589689694348
0.9297.52786947157813.52607096196989
0.9398.51805460663673.20269418984545
0.9499.45943176074932.71219998545684
0.95100.3812656958152.19512304817643
0.96101.3760464328151.92302113610943
0.97102.5727793725382.24432240530761
0.98104.0308747253523.1996008340078
0.99105.5700318153784.44086188131485


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')