FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 09 Aug 2016 23:05:08 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Aug/09/t1470780330p8ti0gdfk0jzsc5.htm/, Retrieved Sat, 18 May 2024 14:51:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296160, Retrieved Sat, 18 May 2024 14:51:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72

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] [] [2016-08-09 22:05:08] [3e69b53d94b342798d3f1a806941de01] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
29054.50
28543.50
28032.00
27009.50
37356.00
36844.50
29054.50
23881.50
24392.50
24392.50
24904.00
25982.00
22859.00
19731.00
17169.50
17169.50
27009.50
28032.00
20242.00
11429.50
16091.50
16091.50
19731.00
21831.50
21320.00
16091.50
18708.50
17681.00
26493.50
24392.50
16091.50
9891.00
15580.00
17169.50
18708.50
20753.50
16602.50
13019.00
14558.00
15069.00
28543.50
28543.50
20753.50
19731.00
22859.00
21320.00
25471.00
30644.00
31671.50
24392.50
22342.50
20242.00
34283.50
35311.00
32694.00
35311.00
34794.50
30644.00
35311.00
40484.00
42584.50
36333.50
32182.50
35311.00
48785.00
52936.00
51913.50
53958.00
53447.00
48274.00
57086.50
59187.00
62259.50
52936.00
49296.50
53447.00
63337.50
72150.00
70049.50
70049.50
71077.00
67488.00
76817.00
76817.00
75227.50
66410.00
67999.50
69027.00
75789.50
84602.00
78350.50
81479.00
78862.00
77328.00
89269.00
86652.00
83012.50
77839.50
83012.50
85629.50
88752.50
92903.00
88752.50
91314.00
88190.50
87679.50
100642.50
101720.50
97570.00
90291.50
96492.00
99104.00
102232.00
106894.00
102232.00
105871.50
104282.00
98592.50
110533.00
110533.00

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296160&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296160&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296160&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0111010.06486057351604.38726661685
0.0212568.57593203921655.33640483349
0.0313872.66380155481403.17470720657
0.0414800.19317939461052.79432818964
0.0515423.5423982841780.513638114858
0.0615853.5458811936638.961514467628
0.0716187.7434316405629.416097063967
0.0816495.7521975358716.191725162456
0.0916818.9796761256849.221181722604
0.117175.5105966044991.269700252899
0.1117567.04271702241117.50347950207
0.1217985.34740125111209.67136980688
0.1318417.27350848521257.52272700974
0.1418848.94090796171263.20563772499
0.1519269.51420797541241.96078713341
0.1619673.85555617281216.31470489688
0.1720063.1414375551207.23405093254
0.1820443.36370399681226.64043470386
0.1920822.58418804731274.80205963062
0.221208.14586928981342.99706903209
0.2121604.74920170491418.41781432969
0.2222013.76054059161488.66293772821
0.2322433.65344429431545.31027266679
0.2422861.20073627211585.47328499812
0.2523292.91582741721612.07826931727
0.2623726.25667054451631.83443956207
0.2724160.24645889131652.45009739922
0.2824595.40677904011679.36343278916
0.2925033.16788188641713.94725321433
0.325475.1121358141753.91806643821
0.3125922.43841473161795.60902371871
0.3226375.8962191171836.7971060819
0.3326836.1972272751878.99384984609
0.3427304.68107880341927.51561176313
0.3527783.89252035431990.15624518781
0.3628277.76473198772074.21549595633
0.3728791.27672521052183.48689989239
0.3829329.68756356412316.52033063709
0.3929897.65421950832467.18857313331
0.430498.63470482342627.39485179597
0.4131134.92278817372791.29530498358
0.4231808.4620984832959.07351073765
0.4332522.29878336323139.87886811527
0.4433282.24054605763351.98885255226
0.4534098.09700276333618.62903067765
0.4634983.86894869913961.46275402605
0.4735956.47397018414390.68322992421
0.4837033.01331234074898.77610878365
0.4938227.09133408715457.47483411324
0.539545.12764118256022.38919920606
0.5140983.78004636326541.68775466203
0.5242529.41253475826967.76143859708
0.5344160.00474612897268.45983498274
0.5445849.15472391027435.24234189857
0.5547571.12236964817485.18981115331
0.5649305.45952079187455.57576731524
0.5751039.84711415367392.79416341625
0.5852770.31635227397337.51088911002
0.5954498.89106049227311.64304363103
0.656229.54825201077312.71516900904
0.6157963.93635790317316.63413853677
0.6259698.31159504627288.97734506334
0.6361422.64757726897198.36933721748
0.6463122.04387045847026.85673936181
0.6564779.73744956386775.30541655559
0.6666380.53174494156460.80832565409
0.6767913.47998301416110.35013259722
0.6869373.14527594575751.49753262242
0.6970759.45486316755406.5014487822
0.772076.72666396965089.00096755226
0.7173332.6085322754807.13889427533
0.7274537.38620291884567.73849109467
0.7375703.5836831384378.64773529076
0.7476845.34176038814247.07150467583
0.7577977.00935074594173.49002870356
0.7679110.78797410264145.8808781624
0.7780253.92895543464138.63308991754
0.7881406.53613509054118.30833787021
0.7982561.16452215544054.33722515498
0.883705.02876409393929.53525088336
0.8184824.863817233747.82961317854
0.8285913.52654818393538.622521282
0.8386976.48380038273352.84868155511
0.8488035.60801632693252.82757082762
0.8589127.57829562023288.66122527535
0.8690295.25517176633466.80941113077
0.8791573.07520200843731.65938378017
0.8892971.2324944163977.93416055243
0.8994466.10960242094091.47707433227
0.996003.41275732333997.37612495863
0.9197515.07706817313692.8857108394
0.9298944.52528769793248.49238657808
0.93100271.9372408592781.40842723649
0.94101531.7344712882424.11424567763
0.95102814.9348484442280.67444343304
0.96104252.5763529982348.7965933465
0.97105972.9861283722530.10437350434
0.98107957.4745950392587.12791201751
0.99109735.17458021704.2364000551

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 11010.0648605735 & 1604.38726661685 \tabularnewline
0.02 & 12568.5759320392 & 1655.33640483349 \tabularnewline
0.03 & 13872.6638015548 & 1403.17470720657 \tabularnewline
0.04 & 14800.1931793946 & 1052.79432818964 \tabularnewline
0.05 & 15423.5423982841 & 780.513638114858 \tabularnewline
0.06 & 15853.5458811936 & 638.961514467628 \tabularnewline
0.07 & 16187.7434316405 & 629.416097063967 \tabularnewline
0.08 & 16495.7521975358 & 716.191725162456 \tabularnewline
0.09 & 16818.9796761256 & 849.221181722604 \tabularnewline
0.1 & 17175.5105966044 & 991.269700252899 \tabularnewline
0.11 & 17567.0427170224 & 1117.50347950207 \tabularnewline
0.12 & 17985.3474012511 & 1209.67136980688 \tabularnewline
0.13 & 18417.2735084852 & 1257.52272700974 \tabularnewline
0.14 & 18848.9409079617 & 1263.20563772499 \tabularnewline
0.15 & 19269.5142079754 & 1241.96078713341 \tabularnewline
0.16 & 19673.8555561728 & 1216.31470489688 \tabularnewline
0.17 & 20063.141437555 & 1207.23405093254 \tabularnewline
0.18 & 20443.3637039968 & 1226.64043470386 \tabularnewline
0.19 & 20822.5841880473 & 1274.80205963062 \tabularnewline
0.2 & 21208.1458692898 & 1342.99706903209 \tabularnewline
0.21 & 21604.7492017049 & 1418.41781432969 \tabularnewline
0.22 & 22013.7605405916 & 1488.66293772821 \tabularnewline
0.23 & 22433.6534442943 & 1545.31027266679 \tabularnewline
0.24 & 22861.2007362721 & 1585.47328499812 \tabularnewline
0.25 & 23292.9158274172 & 1612.07826931727 \tabularnewline
0.26 & 23726.2566705445 & 1631.83443956207 \tabularnewline
0.27 & 24160.2464588913 & 1652.45009739922 \tabularnewline
0.28 & 24595.4067790401 & 1679.36343278916 \tabularnewline
0.29 & 25033.1678818864 & 1713.94725321433 \tabularnewline
0.3 & 25475.112135814 & 1753.91806643821 \tabularnewline
0.31 & 25922.4384147316 & 1795.60902371871 \tabularnewline
0.32 & 26375.896219117 & 1836.7971060819 \tabularnewline
0.33 & 26836.197227275 & 1878.99384984609 \tabularnewline
0.34 & 27304.6810788034 & 1927.51561176313 \tabularnewline
0.35 & 27783.8925203543 & 1990.15624518781 \tabularnewline
0.36 & 28277.7647319877 & 2074.21549595633 \tabularnewline
0.37 & 28791.2767252105 & 2183.48689989239 \tabularnewline
0.38 & 29329.6875635641 & 2316.52033063709 \tabularnewline
0.39 & 29897.6542195083 & 2467.18857313331 \tabularnewline
0.4 & 30498.6347048234 & 2627.39485179597 \tabularnewline
0.41 & 31134.9227881737 & 2791.29530498358 \tabularnewline
0.42 & 31808.462098483 & 2959.07351073765 \tabularnewline
0.43 & 32522.2987833632 & 3139.87886811527 \tabularnewline
0.44 & 33282.2405460576 & 3351.98885255226 \tabularnewline
0.45 & 34098.0970027633 & 3618.62903067765 \tabularnewline
0.46 & 34983.8689486991 & 3961.46275402605 \tabularnewline
0.47 & 35956.4739701841 & 4390.68322992421 \tabularnewline
0.48 & 37033.0133123407 & 4898.77610878365 \tabularnewline
0.49 & 38227.0913340871 & 5457.47483411324 \tabularnewline
0.5 & 39545.1276411825 & 6022.38919920606 \tabularnewline
0.51 & 40983.7800463632 & 6541.68775466203 \tabularnewline
0.52 & 42529.4125347582 & 6967.76143859708 \tabularnewline
0.53 & 44160.0047461289 & 7268.45983498274 \tabularnewline
0.54 & 45849.1547239102 & 7435.24234189857 \tabularnewline
0.55 & 47571.1223696481 & 7485.18981115331 \tabularnewline
0.56 & 49305.4595207918 & 7455.57576731524 \tabularnewline
0.57 & 51039.8471141536 & 7392.79416341625 \tabularnewline
0.58 & 52770.3163522739 & 7337.51088911002 \tabularnewline
0.59 & 54498.8910604922 & 7311.64304363103 \tabularnewline
0.6 & 56229.5482520107 & 7312.71516900904 \tabularnewline
0.61 & 57963.9363579031 & 7316.63413853677 \tabularnewline
0.62 & 59698.3115950462 & 7288.97734506334 \tabularnewline
0.63 & 61422.6475772689 & 7198.36933721748 \tabularnewline
0.64 & 63122.0438704584 & 7026.85673936181 \tabularnewline
0.65 & 64779.7374495638 & 6775.30541655559 \tabularnewline
0.66 & 66380.5317449415 & 6460.80832565409 \tabularnewline
0.67 & 67913.4799830141 & 6110.35013259722 \tabularnewline
0.68 & 69373.1452759457 & 5751.49753262242 \tabularnewline
0.69 & 70759.4548631675 & 5406.5014487822 \tabularnewline
0.7 & 72076.7266639696 & 5089.00096755226 \tabularnewline
0.71 & 73332.608532275 & 4807.13889427533 \tabularnewline
0.72 & 74537.3862029188 & 4567.73849109467 \tabularnewline
0.73 & 75703.583683138 & 4378.64773529076 \tabularnewline
0.74 & 76845.3417603881 & 4247.07150467583 \tabularnewline
0.75 & 77977.0093507459 & 4173.49002870356 \tabularnewline
0.76 & 79110.7879741026 & 4145.8808781624 \tabularnewline
0.77 & 80253.9289554346 & 4138.63308991754 \tabularnewline
0.78 & 81406.5361350905 & 4118.30833787021 \tabularnewline
0.79 & 82561.1645221554 & 4054.33722515498 \tabularnewline
0.8 & 83705.0287640939 & 3929.53525088336 \tabularnewline
0.81 & 84824.86381723 & 3747.82961317854 \tabularnewline
0.82 & 85913.5265481839 & 3538.622521282 \tabularnewline
0.83 & 86976.4838003827 & 3352.84868155511 \tabularnewline
0.84 & 88035.6080163269 & 3252.82757082762 \tabularnewline
0.85 & 89127.5782956202 & 3288.66122527535 \tabularnewline
0.86 & 90295.2551717663 & 3466.80941113077 \tabularnewline
0.87 & 91573.0752020084 & 3731.65938378017 \tabularnewline
0.88 & 92971.232494416 & 3977.93416055243 \tabularnewline
0.89 & 94466.1096024209 & 4091.47707433227 \tabularnewline
0.9 & 96003.4127573233 & 3997.37612495863 \tabularnewline
0.91 & 97515.0770681731 & 3692.8857108394 \tabularnewline
0.92 & 98944.5252876979 & 3248.49238657808 \tabularnewline
0.93 & 100271.937240859 & 2781.40842723649 \tabularnewline
0.94 & 101531.734471288 & 2424.11424567763 \tabularnewline
0.95 & 102814.934848444 & 2280.67444343304 \tabularnewline
0.96 & 104252.576352998 & 2348.7965933465 \tabularnewline
0.97 & 105972.986128372 & 2530.10437350434 \tabularnewline
0.98 & 107957.474595039 & 2587.12791201751 \tabularnewline
0.99 & 109735.1745802 & 1704.2364000551 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296160&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]11010.0648605735[/C][C]1604.38726661685[/C][/ROW]
[ROW][C]0.02[/C][C]12568.5759320392[/C][C]1655.33640483349[/C][/ROW]
[ROW][C]0.03[/C][C]13872.6638015548[/C][C]1403.17470720657[/C][/ROW]
[ROW][C]0.04[/C][C]14800.1931793946[/C][C]1052.79432818964[/C][/ROW]
[ROW][C]0.05[/C][C]15423.5423982841[/C][C]780.513638114858[/C][/ROW]
[ROW][C]0.06[/C][C]15853.5458811936[/C][C]638.961514467628[/C][/ROW]
[ROW][C]0.07[/C][C]16187.7434316405[/C][C]629.416097063967[/C][/ROW]
[ROW][C]0.08[/C][C]16495.7521975358[/C][C]716.191725162456[/C][/ROW]
[ROW][C]0.09[/C][C]16818.9796761256[/C][C]849.221181722604[/C][/ROW]
[ROW][C]0.1[/C][C]17175.5105966044[/C][C]991.269700252899[/C][/ROW]
[ROW][C]0.11[/C][C]17567.0427170224[/C][C]1117.50347950207[/C][/ROW]
[ROW][C]0.12[/C][C]17985.3474012511[/C][C]1209.67136980688[/C][/ROW]
[ROW][C]0.13[/C][C]18417.2735084852[/C][C]1257.52272700974[/C][/ROW]
[ROW][C]0.14[/C][C]18848.9409079617[/C][C]1263.20563772499[/C][/ROW]
[ROW][C]0.15[/C][C]19269.5142079754[/C][C]1241.96078713341[/C][/ROW]
[ROW][C]0.16[/C][C]19673.8555561728[/C][C]1216.31470489688[/C][/ROW]
[ROW][C]0.17[/C][C]20063.141437555[/C][C]1207.23405093254[/C][/ROW]
[ROW][C]0.18[/C][C]20443.3637039968[/C][C]1226.64043470386[/C][/ROW]
[ROW][C]0.19[/C][C]20822.5841880473[/C][C]1274.80205963062[/C][/ROW]
[ROW][C]0.2[/C][C]21208.1458692898[/C][C]1342.99706903209[/C][/ROW]
[ROW][C]0.21[/C][C]21604.7492017049[/C][C]1418.41781432969[/C][/ROW]
[ROW][C]0.22[/C][C]22013.7605405916[/C][C]1488.66293772821[/C][/ROW]
[ROW][C]0.23[/C][C]22433.6534442943[/C][C]1545.31027266679[/C][/ROW]
[ROW][C]0.24[/C][C]22861.2007362721[/C][C]1585.47328499812[/C][/ROW]
[ROW][C]0.25[/C][C]23292.9158274172[/C][C]1612.07826931727[/C][/ROW]
[ROW][C]0.26[/C][C]23726.2566705445[/C][C]1631.83443956207[/C][/ROW]
[ROW][C]0.27[/C][C]24160.2464588913[/C][C]1652.45009739922[/C][/ROW]
[ROW][C]0.28[/C][C]24595.4067790401[/C][C]1679.36343278916[/C][/ROW]
[ROW][C]0.29[/C][C]25033.1678818864[/C][C]1713.94725321433[/C][/ROW]
[ROW][C]0.3[/C][C]25475.112135814[/C][C]1753.91806643821[/C][/ROW]
[ROW][C]0.31[/C][C]25922.4384147316[/C][C]1795.60902371871[/C][/ROW]
[ROW][C]0.32[/C][C]26375.896219117[/C][C]1836.7971060819[/C][/ROW]
[ROW][C]0.33[/C][C]26836.197227275[/C][C]1878.99384984609[/C][/ROW]
[ROW][C]0.34[/C][C]27304.6810788034[/C][C]1927.51561176313[/C][/ROW]
[ROW][C]0.35[/C][C]27783.8925203543[/C][C]1990.15624518781[/C][/ROW]
[ROW][C]0.36[/C][C]28277.7647319877[/C][C]2074.21549595633[/C][/ROW]
[ROW][C]0.37[/C][C]28791.2767252105[/C][C]2183.48689989239[/C][/ROW]
[ROW][C]0.38[/C][C]29329.6875635641[/C][C]2316.52033063709[/C][/ROW]
[ROW][C]0.39[/C][C]29897.6542195083[/C][C]2467.18857313331[/C][/ROW]
[ROW][C]0.4[/C][C]30498.6347048234[/C][C]2627.39485179597[/C][/ROW]
[ROW][C]0.41[/C][C]31134.9227881737[/C][C]2791.29530498358[/C][/ROW]
[ROW][C]0.42[/C][C]31808.462098483[/C][C]2959.07351073765[/C][/ROW]
[ROW][C]0.43[/C][C]32522.2987833632[/C][C]3139.87886811527[/C][/ROW]
[ROW][C]0.44[/C][C]33282.2405460576[/C][C]3351.98885255226[/C][/ROW]
[ROW][C]0.45[/C][C]34098.0970027633[/C][C]3618.62903067765[/C][/ROW]
[ROW][C]0.46[/C][C]34983.8689486991[/C][C]3961.46275402605[/C][/ROW]
[ROW][C]0.47[/C][C]35956.4739701841[/C][C]4390.68322992421[/C][/ROW]
[ROW][C]0.48[/C][C]37033.0133123407[/C][C]4898.77610878365[/C][/ROW]
[ROW][C]0.49[/C][C]38227.0913340871[/C][C]5457.47483411324[/C][/ROW]
[ROW][C]0.5[/C][C]39545.1276411825[/C][C]6022.38919920606[/C][/ROW]
[ROW][C]0.51[/C][C]40983.7800463632[/C][C]6541.68775466203[/C][/ROW]
[ROW][C]0.52[/C][C]42529.4125347582[/C][C]6967.76143859708[/C][/ROW]
[ROW][C]0.53[/C][C]44160.0047461289[/C][C]7268.45983498274[/C][/ROW]
[ROW][C]0.54[/C][C]45849.1547239102[/C][C]7435.24234189857[/C][/ROW]
[ROW][C]0.55[/C][C]47571.1223696481[/C][C]7485.18981115331[/C][/ROW]
[ROW][C]0.56[/C][C]49305.4595207918[/C][C]7455.57576731524[/C][/ROW]
[ROW][C]0.57[/C][C]51039.8471141536[/C][C]7392.79416341625[/C][/ROW]
[ROW][C]0.58[/C][C]52770.3163522739[/C][C]7337.51088911002[/C][/ROW]
[ROW][C]0.59[/C][C]54498.8910604922[/C][C]7311.64304363103[/C][/ROW]
[ROW][C]0.6[/C][C]56229.5482520107[/C][C]7312.71516900904[/C][/ROW]
[ROW][C]0.61[/C][C]57963.9363579031[/C][C]7316.63413853677[/C][/ROW]
[ROW][C]0.62[/C][C]59698.3115950462[/C][C]7288.97734506334[/C][/ROW]
[ROW][C]0.63[/C][C]61422.6475772689[/C][C]7198.36933721748[/C][/ROW]
[ROW][C]0.64[/C][C]63122.0438704584[/C][C]7026.85673936181[/C][/ROW]
[ROW][C]0.65[/C][C]64779.7374495638[/C][C]6775.30541655559[/C][/ROW]
[ROW][C]0.66[/C][C]66380.5317449415[/C][C]6460.80832565409[/C][/ROW]
[ROW][C]0.67[/C][C]67913.4799830141[/C][C]6110.35013259722[/C][/ROW]
[ROW][C]0.68[/C][C]69373.1452759457[/C][C]5751.49753262242[/C][/ROW]
[ROW][C]0.69[/C][C]70759.4548631675[/C][C]5406.5014487822[/C][/ROW]
[ROW][C]0.7[/C][C]72076.7266639696[/C][C]5089.00096755226[/C][/ROW]
[ROW][C]0.71[/C][C]73332.608532275[/C][C]4807.13889427533[/C][/ROW]
[ROW][C]0.72[/C][C]74537.3862029188[/C][C]4567.73849109467[/C][/ROW]
[ROW][C]0.73[/C][C]75703.583683138[/C][C]4378.64773529076[/C][/ROW]
[ROW][C]0.74[/C][C]76845.3417603881[/C][C]4247.07150467583[/C][/ROW]
[ROW][C]0.75[/C][C]77977.0093507459[/C][C]4173.49002870356[/C][/ROW]
[ROW][C]0.76[/C][C]79110.7879741026[/C][C]4145.8808781624[/C][/ROW]
[ROW][C]0.77[/C][C]80253.9289554346[/C][C]4138.63308991754[/C][/ROW]
[ROW][C]0.78[/C][C]81406.5361350905[/C][C]4118.30833787021[/C][/ROW]
[ROW][C]0.79[/C][C]82561.1645221554[/C][C]4054.33722515498[/C][/ROW]
[ROW][C]0.8[/C][C]83705.0287640939[/C][C]3929.53525088336[/C][/ROW]
[ROW][C]0.81[/C][C]84824.86381723[/C][C]3747.82961317854[/C][/ROW]
[ROW][C]0.82[/C][C]85913.5265481839[/C][C]3538.622521282[/C][/ROW]
[ROW][C]0.83[/C][C]86976.4838003827[/C][C]3352.84868155511[/C][/ROW]
[ROW][C]0.84[/C][C]88035.6080163269[/C][C]3252.82757082762[/C][/ROW]
[ROW][C]0.85[/C][C]89127.5782956202[/C][C]3288.66122527535[/C][/ROW]
[ROW][C]0.86[/C][C]90295.2551717663[/C][C]3466.80941113077[/C][/ROW]
[ROW][C]0.87[/C][C]91573.0752020084[/C][C]3731.65938378017[/C][/ROW]
[ROW][C]0.88[/C][C]92971.232494416[/C][C]3977.93416055243[/C][/ROW]
[ROW][C]0.89[/C][C]94466.1096024209[/C][C]4091.47707433227[/C][/ROW]
[ROW][C]0.9[/C][C]96003.4127573233[/C][C]3997.37612495863[/C][/ROW]
[ROW][C]0.91[/C][C]97515.0770681731[/C][C]3692.8857108394[/C][/ROW]
[ROW][C]0.92[/C][C]98944.5252876979[/C][C]3248.49238657808[/C][/ROW]
[ROW][C]0.93[/C][C]100271.937240859[/C][C]2781.40842723649[/C][/ROW]
[ROW][C]0.94[/C][C]101531.734471288[/C][C]2424.11424567763[/C][/ROW]
[ROW][C]0.95[/C][C]102814.934848444[/C][C]2280.67444343304[/C][/ROW]
[ROW][C]0.96[/C][C]104252.576352998[/C][C]2348.7965933465[/C][/ROW]
[ROW][C]0.97[/C][C]105972.986128372[/C][C]2530.10437350434[/C][/ROW]
[ROW][C]0.98[/C][C]107957.474595039[/C][C]2587.12791201751[/C][/ROW]
[ROW][C]0.99[/C][C]109735.1745802[/C][C]1704.2364000551[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296160&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296160&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
0.0111010.06486057351604.38726661685
0.0212568.57593203921655.33640483349
0.0313872.66380155481403.17470720657
0.0414800.19317939461052.79432818964
0.0515423.5423982841780.513638114858
0.0615853.5458811936638.961514467628
0.0716187.7434316405629.416097063967
0.0816495.7521975358716.191725162456
0.0916818.9796761256849.221181722604
0.117175.5105966044991.269700252899
0.1117567.04271702241117.50347950207
0.1217985.34740125111209.67136980688
0.1318417.27350848521257.52272700974
0.1418848.94090796171263.20563772499
0.1519269.51420797541241.96078713341
0.1619673.85555617281216.31470489688
0.1720063.1414375551207.23405093254
0.1820443.36370399681226.64043470386
0.1920822.58418804731274.80205963062
0.221208.14586928981342.99706903209
0.2121604.74920170491418.41781432969
0.2222013.76054059161488.66293772821
0.2322433.65344429431545.31027266679
0.2422861.20073627211585.47328499812
0.2523292.91582741721612.07826931727
0.2623726.25667054451631.83443956207
0.2724160.24645889131652.45009739922
0.2824595.40677904011679.36343278916
0.2925033.16788188641713.94725321433
0.325475.1121358141753.91806643821
0.3125922.43841473161795.60902371871
0.3226375.8962191171836.7971060819
0.3326836.1972272751878.99384984609
0.3427304.68107880341927.51561176313
0.3527783.89252035431990.15624518781
0.3628277.76473198772074.21549595633
0.3728791.27672521052183.48689989239
0.3829329.68756356412316.52033063709
0.3929897.65421950832467.18857313331
0.430498.63470482342627.39485179597
0.4131134.92278817372791.29530498358
0.4231808.4620984832959.07351073765
0.4332522.29878336323139.87886811527
0.4433282.24054605763351.98885255226
0.4534098.09700276333618.62903067765
0.4634983.86894869913961.46275402605
0.4735956.47397018414390.68322992421
0.4837033.01331234074898.77610878365
0.4938227.09133408715457.47483411324
0.539545.12764118256022.38919920606
0.5140983.78004636326541.68775466203
0.5242529.41253475826967.76143859708
0.5344160.00474612897268.45983498274
0.5445849.15472391027435.24234189857
0.5547571.12236964817485.18981115331
0.5649305.45952079187455.57576731524
0.5751039.84711415367392.79416341625
0.5852770.31635227397337.51088911002
0.5954498.89106049227311.64304363103
0.656229.54825201077312.71516900904
0.6157963.93635790317316.63413853677
0.6259698.31159504627288.97734506334
0.6361422.64757726897198.36933721748
0.6463122.04387045847026.85673936181
0.6564779.73744956386775.30541655559
0.6666380.53174494156460.80832565409
0.6767913.47998301416110.35013259722
0.6869373.14527594575751.49753262242
0.6970759.45486316755406.5014487822
0.772076.72666396965089.00096755226
0.7173332.6085322754807.13889427533
0.7274537.38620291884567.73849109467
0.7375703.5836831384378.64773529076
0.7476845.34176038814247.07150467583
0.7577977.00935074594173.49002870356
0.7679110.78797410264145.8808781624
0.7780253.92895543464138.63308991754
0.7881406.53613509054118.30833787021
0.7982561.16452215544054.33722515498
0.883705.02876409393929.53525088336
0.8184824.863817233747.82961317854
0.8285913.52654818393538.622521282
0.8386976.48380038273352.84868155511
0.8488035.60801632693252.82757082762
0.8589127.57829562023288.66122527535
0.8690295.25517176633466.80941113077
0.8791573.07520200843731.65938378017
0.8892971.2324944163977.93416055243
0.8994466.10960242094091.47707433227
0.996003.41275732333997.37612495863
0.9197515.07706817313692.8857108394
0.9298944.52528769793248.49238657808
0.93100271.9372408592781.40842723649
0.94101531.7344712882424.11424567763
0.95102814.9348484442280.67444343304
0.96104252.5763529982348.7965933465
0.97105972.9861283722530.10437350434
0.98107957.4745950392587.12791201751
0.99109735.17458021704.2364000551


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')