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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 computationTue, 17 May 2011 13:36:30 +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/2011/May/17/t1305639255a34ft213p2ediov.htm/, Retrieved Fri, 10 May 2024 05:49:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=121724, Retrieved Fri, 10 May 2024 05:49:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact121

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] [] [2011-05-17 13:36:30] [7ec7c2b78d31d17737f91280a6e28d4a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
90
51
47
59
54
79
59
80
46
62
55
77
72
72
71
50
66
78
59
52
71
98
70
84
90
98
98
78
59
0
58
55
62
80
91
86
61
49
61
56
73
85
82
32
39
30
51
48
57
59
32
56
54
74
62
78
72
48
59
61
80
69
58
63
27
23
34
45
51
51
73
37
35
66
54
30
66
61
37
55
64
53
63
70
72
52
53
50
60
73
66
78

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'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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=121724&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=121724&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=121724&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.018.3220078541197416.3291982287369
0.0218.00161242871579.24744709423247
0.0324.45215713944475.08006694928741
0.0427.98730218773773.29908578406903
0.0530.02528912246172.70247614909289
0.0631.46700560520032.67808206775135
0.0732.72520522489912.94999167725835
0.0833.97729460037773.37516071455042
0.0935.29830049924143.86810973269887
0.136.71184366028064.35481513099062
0.1138.20887287816694.75594048635021
0.1239.75634334891934.99673804452435
0.1341.30517527273835.02882052705489
0.1442.80043723472124.84691291260993
0.1544.192462227524.48907093373933
0.1645.44576272179564.02157717048146
0.1746.54327485636183.51715699595711
0.1847.48552107453673.03623142016721
0.1948.28619646670152.61701725938305
0.248.96648056160712.27588328339022
0.2149.55000222905222.0133911516808
0.2250.05941124818671.8222103558361
0.2350.51458740850171.69250158776063
0.2450.93201208107271.61396578168346
0.2551.32475668088641.57584671300864
0.2651.70272210539381.56727555790752
0.2752.07298280505191.57770181645194
0.2852.44022188753381.59820166120389
0.2952.80726575862421.62281532185533
0.353.17568102970541.64850077638698
0.3153.54634284327121.67495873929191
0.3253.91986490406651.70336339966508
0.3354.29680980539191.73477842388093
0.3454.67766086464241.76911767272091
0.3555.06260814687591.80414715308502
0.3655.45125616735361.8356852660353
0.3755.84238188838271.85823393478253
0.3856.23385401799131.86652883724352
0.3956.62277483749471.85646606001255
0.457.00583904693531.82675966987016
0.4157.37983981673941.77931007291669
0.4257.74220873238521.71881774847275
0.4358.09146591091281.6524939489195
0.4458.427481837361.58846653285491
0.4558.75150526832711.53443546952957
0.4659.06597528016761.49613452411746
0.4759.3741903288771.47685974241066
0.4859.67993639541341.47735175471411
0.4959.98717205744681.49675995122842
0.560.29983410898271.53363813470093
0.5160.62177638924361.58737343916323
0.5260.95680481914461.65807146166416
0.5361.30873954272671.7465166091849
0.5461.68142942297571.85354090814882
0.5562.07866391665761.97880639529711
0.5662.5039629389642.12023471049352
0.5762.9602630257432.27386239964327
0.5863.4495458129182.43349469139996
0.5963.97246659654012.59144382943174
0.664.52803812970072.7389323439615
0.6165.11341500624962.86678011674768
0.6265.72381509876322.96605103819573
0.6366.3526108303293.02825206155284
0.6466.9916223505593.04683748880274
0.6567.63163925305723.01796166419381
0.6668.26317836988222.94151478157189
0.6768.87744756778022.82236087030452
0.6869.46743227394572.67030826760978
0.6970.02896351626522.50047201471377
0.770.56157923869732.3320413007541
0.7171.06897077468782.18613198180946
0.7271.55882726177882.08303790274517
0.7372.04196190316822.03797494593055
0.7472.53072856554152.05638605204833
0.7573.0369071110492.13055044453583
0.7673.5694233903262.24033407536293
0.7774.13242222943352.35722505237729
0.7874.7242584016862.45127403342915
0.7975.33784958646142.49773976956384
0.875.96253356570332.48374265263302
0.8176.58715583343972.4119519413159
0.8277.20372169739082.3013141296414
0.8377.81073104211392.18383659516039
0.8478.41535851772542.09789924597291
0.8579.03391527299632.07942473625873
0.8679.6904117118352.15186330194492
0.8780.41341440414782.31908901691444
0.8881.23170268835282.56353707703526
0.8982.16951529806622.85102734685154
0.983.24257696748823.1385315281003
0.9184.45685005888953.38343064763031
0.9285.81286775569673.55622069006746
0.9387.31734003394423.66314724581071
0.9488.99537684054653.76991074149369
0.9590.87951853504223.95570803561342
0.9692.94476943187964.1070105406668
0.9795.00582786247153.77607048028318
0.9896.69873437774122.58362951254973
0.9997.69039307808680.95817678466008

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 8.32200785411974 & 16.3291982287369 \tabularnewline
0.02 & 18.0016124287157 & 9.24744709423247 \tabularnewline
0.03 & 24.4521571394447 & 5.08006694928741 \tabularnewline
0.04 & 27.9873021877377 & 3.29908578406903 \tabularnewline
0.05 & 30.0252891224617 & 2.70247614909289 \tabularnewline
0.06 & 31.4670056052003 & 2.67808206775135 \tabularnewline
0.07 & 32.7252052248991 & 2.94999167725835 \tabularnewline
0.08 & 33.9772946003777 & 3.37516071455042 \tabularnewline
0.09 & 35.2983004992414 & 3.86810973269887 \tabularnewline
0.1 & 36.7118436602806 & 4.35481513099062 \tabularnewline
0.11 & 38.2088728781669 & 4.75594048635021 \tabularnewline
0.12 & 39.7563433489193 & 4.99673804452435 \tabularnewline
0.13 & 41.3051752727383 & 5.02882052705489 \tabularnewline
0.14 & 42.8004372347212 & 4.84691291260993 \tabularnewline
0.15 & 44.19246222752 & 4.48907093373933 \tabularnewline
0.16 & 45.4457627217956 & 4.02157717048146 \tabularnewline
0.17 & 46.5432748563618 & 3.51715699595711 \tabularnewline
0.18 & 47.4855210745367 & 3.03623142016721 \tabularnewline
0.19 & 48.2861964667015 & 2.61701725938305 \tabularnewline
0.2 & 48.9664805616071 & 2.27588328339022 \tabularnewline
0.21 & 49.5500022290522 & 2.0133911516808 \tabularnewline
0.22 & 50.0594112481867 & 1.8222103558361 \tabularnewline
0.23 & 50.5145874085017 & 1.69250158776063 \tabularnewline
0.24 & 50.9320120810727 & 1.61396578168346 \tabularnewline
0.25 & 51.3247566808864 & 1.57584671300864 \tabularnewline
0.26 & 51.7027221053938 & 1.56727555790752 \tabularnewline
0.27 & 52.0729828050519 & 1.57770181645194 \tabularnewline
0.28 & 52.4402218875338 & 1.59820166120389 \tabularnewline
0.29 & 52.8072657586242 & 1.62281532185533 \tabularnewline
0.3 & 53.1756810297054 & 1.64850077638698 \tabularnewline
0.31 & 53.5463428432712 & 1.67495873929191 \tabularnewline
0.32 & 53.9198649040665 & 1.70336339966508 \tabularnewline
0.33 & 54.2968098053919 & 1.73477842388093 \tabularnewline
0.34 & 54.6776608646424 & 1.76911767272091 \tabularnewline
0.35 & 55.0626081468759 & 1.80414715308502 \tabularnewline
0.36 & 55.4512561673536 & 1.8356852660353 \tabularnewline
0.37 & 55.8423818883827 & 1.85823393478253 \tabularnewline
0.38 & 56.2338540179913 & 1.86652883724352 \tabularnewline
0.39 & 56.6227748374947 & 1.85646606001255 \tabularnewline
0.4 & 57.0058390469353 & 1.82675966987016 \tabularnewline
0.41 & 57.3798398167394 & 1.77931007291669 \tabularnewline
0.42 & 57.7422087323852 & 1.71881774847275 \tabularnewline
0.43 & 58.0914659109128 & 1.6524939489195 \tabularnewline
0.44 & 58.42748183736 & 1.58846653285491 \tabularnewline
0.45 & 58.7515052683271 & 1.53443546952957 \tabularnewline
0.46 & 59.0659752801676 & 1.49613452411746 \tabularnewline
0.47 & 59.374190328877 & 1.47685974241066 \tabularnewline
0.48 & 59.6799363954134 & 1.47735175471411 \tabularnewline
0.49 & 59.9871720574468 & 1.49675995122842 \tabularnewline
0.5 & 60.2998341089827 & 1.53363813470093 \tabularnewline
0.51 & 60.6217763892436 & 1.58737343916323 \tabularnewline
0.52 & 60.9568048191446 & 1.65807146166416 \tabularnewline
0.53 & 61.3087395427267 & 1.7465166091849 \tabularnewline
0.54 & 61.6814294229757 & 1.85354090814882 \tabularnewline
0.55 & 62.0786639166576 & 1.97880639529711 \tabularnewline
0.56 & 62.503962938964 & 2.12023471049352 \tabularnewline
0.57 & 62.960263025743 & 2.27386239964327 \tabularnewline
0.58 & 63.449545812918 & 2.43349469139996 \tabularnewline
0.59 & 63.9724665965401 & 2.59144382943174 \tabularnewline
0.6 & 64.5280381297007 & 2.7389323439615 \tabularnewline
0.61 & 65.1134150062496 & 2.86678011674768 \tabularnewline
0.62 & 65.7238150987632 & 2.96605103819573 \tabularnewline
0.63 & 66.352610830329 & 3.02825206155284 \tabularnewline
0.64 & 66.991622350559 & 3.04683748880274 \tabularnewline
0.65 & 67.6316392530572 & 3.01796166419381 \tabularnewline
0.66 & 68.2631783698822 & 2.94151478157189 \tabularnewline
0.67 & 68.8774475677802 & 2.82236087030452 \tabularnewline
0.68 & 69.4674322739457 & 2.67030826760978 \tabularnewline
0.69 & 70.0289635162652 & 2.50047201471377 \tabularnewline
0.7 & 70.5615792386973 & 2.3320413007541 \tabularnewline
0.71 & 71.0689707746878 & 2.18613198180946 \tabularnewline
0.72 & 71.5588272617788 & 2.08303790274517 \tabularnewline
0.73 & 72.0419619031682 & 2.03797494593055 \tabularnewline
0.74 & 72.5307285655415 & 2.05638605204833 \tabularnewline
0.75 & 73.036907111049 & 2.13055044453583 \tabularnewline
0.76 & 73.569423390326 & 2.24033407536293 \tabularnewline
0.77 & 74.1324222294335 & 2.35722505237729 \tabularnewline
0.78 & 74.724258401686 & 2.45127403342915 \tabularnewline
0.79 & 75.3378495864614 & 2.49773976956384 \tabularnewline
0.8 & 75.9625335657033 & 2.48374265263302 \tabularnewline
0.81 & 76.5871558334397 & 2.4119519413159 \tabularnewline
0.82 & 77.2037216973908 & 2.3013141296414 \tabularnewline
0.83 & 77.8107310421139 & 2.18383659516039 \tabularnewline
0.84 & 78.4153585177254 & 2.09789924597291 \tabularnewline
0.85 & 79.0339152729963 & 2.07942473625873 \tabularnewline
0.86 & 79.690411711835 & 2.15186330194492 \tabularnewline
0.87 & 80.4134144041478 & 2.31908901691444 \tabularnewline
0.88 & 81.2317026883528 & 2.56353707703526 \tabularnewline
0.89 & 82.1695152980662 & 2.85102734685154 \tabularnewline
0.9 & 83.2425769674882 & 3.1385315281003 \tabularnewline
0.91 & 84.4568500588895 & 3.38343064763031 \tabularnewline
0.92 & 85.8128677556967 & 3.55622069006746 \tabularnewline
0.93 & 87.3173400339442 & 3.66314724581071 \tabularnewline
0.94 & 88.9953768405465 & 3.76991074149369 \tabularnewline
0.95 & 90.8795185350422 & 3.95570803561342 \tabularnewline
0.96 & 92.9447694318796 & 4.1070105406668 \tabularnewline
0.97 & 95.0058278624715 & 3.77607048028318 \tabularnewline
0.98 & 96.6987343777412 & 2.58362951254973 \tabularnewline
0.99 & 97.6903930780868 & 0.95817678466008 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=121724&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]8.32200785411974[/C][C]16.3291982287369[/C][/ROW]
[ROW][C]0.02[/C][C]18.0016124287157[/C][C]9.24744709423247[/C][/ROW]
[ROW][C]0.03[/C][C]24.4521571394447[/C][C]5.08006694928741[/C][/ROW]
[ROW][C]0.04[/C][C]27.9873021877377[/C][C]3.29908578406903[/C][/ROW]
[ROW][C]0.05[/C][C]30.0252891224617[/C][C]2.70247614909289[/C][/ROW]
[ROW][C]0.06[/C][C]31.4670056052003[/C][C]2.67808206775135[/C][/ROW]
[ROW][C]0.07[/C][C]32.7252052248991[/C][C]2.94999167725835[/C][/ROW]
[ROW][C]0.08[/C][C]33.9772946003777[/C][C]3.37516071455042[/C][/ROW]
[ROW][C]0.09[/C][C]35.2983004992414[/C][C]3.86810973269887[/C][/ROW]
[ROW][C]0.1[/C][C]36.7118436602806[/C][C]4.35481513099062[/C][/ROW]
[ROW][C]0.11[/C][C]38.2088728781669[/C][C]4.75594048635021[/C][/ROW]
[ROW][C]0.12[/C][C]39.7563433489193[/C][C]4.99673804452435[/C][/ROW]
[ROW][C]0.13[/C][C]41.3051752727383[/C][C]5.02882052705489[/C][/ROW]
[ROW][C]0.14[/C][C]42.8004372347212[/C][C]4.84691291260993[/C][/ROW]
[ROW][C]0.15[/C][C]44.19246222752[/C][C]4.48907093373933[/C][/ROW]
[ROW][C]0.16[/C][C]45.4457627217956[/C][C]4.02157717048146[/C][/ROW]
[ROW][C]0.17[/C][C]46.5432748563618[/C][C]3.51715699595711[/C][/ROW]
[ROW][C]0.18[/C][C]47.4855210745367[/C][C]3.03623142016721[/C][/ROW]
[ROW][C]0.19[/C][C]48.2861964667015[/C][C]2.61701725938305[/C][/ROW]
[ROW][C]0.2[/C][C]48.9664805616071[/C][C]2.27588328339022[/C][/ROW]
[ROW][C]0.21[/C][C]49.5500022290522[/C][C]2.0133911516808[/C][/ROW]
[ROW][C]0.22[/C][C]50.0594112481867[/C][C]1.8222103558361[/C][/ROW]
[ROW][C]0.23[/C][C]50.5145874085017[/C][C]1.69250158776063[/C][/ROW]
[ROW][C]0.24[/C][C]50.9320120810727[/C][C]1.61396578168346[/C][/ROW]
[ROW][C]0.25[/C][C]51.3247566808864[/C][C]1.57584671300864[/C][/ROW]
[ROW][C]0.26[/C][C]51.7027221053938[/C][C]1.56727555790752[/C][/ROW]
[ROW][C]0.27[/C][C]52.0729828050519[/C][C]1.57770181645194[/C][/ROW]
[ROW][C]0.28[/C][C]52.4402218875338[/C][C]1.59820166120389[/C][/ROW]
[ROW][C]0.29[/C][C]52.8072657586242[/C][C]1.62281532185533[/C][/ROW]
[ROW][C]0.3[/C][C]53.1756810297054[/C][C]1.64850077638698[/C][/ROW]
[ROW][C]0.31[/C][C]53.5463428432712[/C][C]1.67495873929191[/C][/ROW]
[ROW][C]0.32[/C][C]53.9198649040665[/C][C]1.70336339966508[/C][/ROW]
[ROW][C]0.33[/C][C]54.2968098053919[/C][C]1.73477842388093[/C][/ROW]
[ROW][C]0.34[/C][C]54.6776608646424[/C][C]1.76911767272091[/C][/ROW]
[ROW][C]0.35[/C][C]55.0626081468759[/C][C]1.80414715308502[/C][/ROW]
[ROW][C]0.36[/C][C]55.4512561673536[/C][C]1.8356852660353[/C][/ROW]
[ROW][C]0.37[/C][C]55.8423818883827[/C][C]1.85823393478253[/C][/ROW]
[ROW][C]0.38[/C][C]56.2338540179913[/C][C]1.86652883724352[/C][/ROW]
[ROW][C]0.39[/C][C]56.6227748374947[/C][C]1.85646606001255[/C][/ROW]
[ROW][C]0.4[/C][C]57.0058390469353[/C][C]1.82675966987016[/C][/ROW]
[ROW][C]0.41[/C][C]57.3798398167394[/C][C]1.77931007291669[/C][/ROW]
[ROW][C]0.42[/C][C]57.7422087323852[/C][C]1.71881774847275[/C][/ROW]
[ROW][C]0.43[/C][C]58.0914659109128[/C][C]1.6524939489195[/C][/ROW]
[ROW][C]0.44[/C][C]58.42748183736[/C][C]1.58846653285491[/C][/ROW]
[ROW][C]0.45[/C][C]58.7515052683271[/C][C]1.53443546952957[/C][/ROW]
[ROW][C]0.46[/C][C]59.0659752801676[/C][C]1.49613452411746[/C][/ROW]
[ROW][C]0.47[/C][C]59.374190328877[/C][C]1.47685974241066[/C][/ROW]
[ROW][C]0.48[/C][C]59.6799363954134[/C][C]1.47735175471411[/C][/ROW]
[ROW][C]0.49[/C][C]59.9871720574468[/C][C]1.49675995122842[/C][/ROW]
[ROW][C]0.5[/C][C]60.2998341089827[/C][C]1.53363813470093[/C][/ROW]
[ROW][C]0.51[/C][C]60.6217763892436[/C][C]1.58737343916323[/C][/ROW]
[ROW][C]0.52[/C][C]60.9568048191446[/C][C]1.65807146166416[/C][/ROW]
[ROW][C]0.53[/C][C]61.3087395427267[/C][C]1.7465166091849[/C][/ROW]
[ROW][C]0.54[/C][C]61.6814294229757[/C][C]1.85354090814882[/C][/ROW]
[ROW][C]0.55[/C][C]62.0786639166576[/C][C]1.97880639529711[/C][/ROW]
[ROW][C]0.56[/C][C]62.503962938964[/C][C]2.12023471049352[/C][/ROW]
[ROW][C]0.57[/C][C]62.960263025743[/C][C]2.27386239964327[/C][/ROW]
[ROW][C]0.58[/C][C]63.449545812918[/C][C]2.43349469139996[/C][/ROW]
[ROW][C]0.59[/C][C]63.9724665965401[/C][C]2.59144382943174[/C][/ROW]
[ROW][C]0.6[/C][C]64.5280381297007[/C][C]2.7389323439615[/C][/ROW]
[ROW][C]0.61[/C][C]65.1134150062496[/C][C]2.86678011674768[/C][/ROW]
[ROW][C]0.62[/C][C]65.7238150987632[/C][C]2.96605103819573[/C][/ROW]
[ROW][C]0.63[/C][C]66.352610830329[/C][C]3.02825206155284[/C][/ROW]
[ROW][C]0.64[/C][C]66.991622350559[/C][C]3.04683748880274[/C][/ROW]
[ROW][C]0.65[/C][C]67.6316392530572[/C][C]3.01796166419381[/C][/ROW]
[ROW][C]0.66[/C][C]68.2631783698822[/C][C]2.94151478157189[/C][/ROW]
[ROW][C]0.67[/C][C]68.8774475677802[/C][C]2.82236087030452[/C][/ROW]
[ROW][C]0.68[/C][C]69.4674322739457[/C][C]2.67030826760978[/C][/ROW]
[ROW][C]0.69[/C][C]70.0289635162652[/C][C]2.50047201471377[/C][/ROW]
[ROW][C]0.7[/C][C]70.5615792386973[/C][C]2.3320413007541[/C][/ROW]
[ROW][C]0.71[/C][C]71.0689707746878[/C][C]2.18613198180946[/C][/ROW]
[ROW][C]0.72[/C][C]71.5588272617788[/C][C]2.08303790274517[/C][/ROW]
[ROW][C]0.73[/C][C]72.0419619031682[/C][C]2.03797494593055[/C][/ROW]
[ROW][C]0.74[/C][C]72.5307285655415[/C][C]2.05638605204833[/C][/ROW]
[ROW][C]0.75[/C][C]73.036907111049[/C][C]2.13055044453583[/C][/ROW]
[ROW][C]0.76[/C][C]73.569423390326[/C][C]2.24033407536293[/C][/ROW]
[ROW][C]0.77[/C][C]74.1324222294335[/C][C]2.35722505237729[/C][/ROW]
[ROW][C]0.78[/C][C]74.724258401686[/C][C]2.45127403342915[/C][/ROW]
[ROW][C]0.79[/C][C]75.3378495864614[/C][C]2.49773976956384[/C][/ROW]
[ROW][C]0.8[/C][C]75.9625335657033[/C][C]2.48374265263302[/C][/ROW]
[ROW][C]0.81[/C][C]76.5871558334397[/C][C]2.4119519413159[/C][/ROW]
[ROW][C]0.82[/C][C]77.2037216973908[/C][C]2.3013141296414[/C][/ROW]
[ROW][C]0.83[/C][C]77.8107310421139[/C][C]2.18383659516039[/C][/ROW]
[ROW][C]0.84[/C][C]78.4153585177254[/C][C]2.09789924597291[/C][/ROW]
[ROW][C]0.85[/C][C]79.0339152729963[/C][C]2.07942473625873[/C][/ROW]
[ROW][C]0.86[/C][C]79.690411711835[/C][C]2.15186330194492[/C][/ROW]
[ROW][C]0.87[/C][C]80.4134144041478[/C][C]2.31908901691444[/C][/ROW]
[ROW][C]0.88[/C][C]81.2317026883528[/C][C]2.56353707703526[/C][/ROW]
[ROW][C]0.89[/C][C]82.1695152980662[/C][C]2.85102734685154[/C][/ROW]
[ROW][C]0.9[/C][C]83.2425769674882[/C][C]3.1385315281003[/C][/ROW]
[ROW][C]0.91[/C][C]84.4568500588895[/C][C]3.38343064763031[/C][/ROW]
[ROW][C]0.92[/C][C]85.8128677556967[/C][C]3.55622069006746[/C][/ROW]
[ROW][C]0.93[/C][C]87.3173400339442[/C][C]3.66314724581071[/C][/ROW]
[ROW][C]0.94[/C][C]88.9953768405465[/C][C]3.76991074149369[/C][/ROW]
[ROW][C]0.95[/C][C]90.8795185350422[/C][C]3.95570803561342[/C][/ROW]
[ROW][C]0.96[/C][C]92.9447694318796[/C][C]4.1070105406668[/C][/ROW]
[ROW][C]0.97[/C][C]95.0058278624715[/C][C]3.77607048028318[/C][/ROW]
[ROW][C]0.98[/C][C]96.6987343777412[/C][C]2.58362951254973[/C][/ROW]
[ROW][C]0.99[/C][C]97.6903930780868[/C][C]0.95817678466008[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=121724&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=121724&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
0.018.3220078541197416.3291982287369
0.0218.00161242871579.24744709423247
0.0324.45215713944475.08006694928741
0.0427.98730218773773.29908578406903
0.0530.02528912246172.70247614909289
0.0631.46700560520032.67808206775135
0.0732.72520522489912.94999167725835
0.0833.97729460037773.37516071455042
0.0935.29830049924143.86810973269887
0.136.71184366028064.35481513099062
0.1138.20887287816694.75594048635021
0.1239.75634334891934.99673804452435
0.1341.30517527273835.02882052705489
0.1442.80043723472124.84691291260993
0.1544.192462227524.48907093373933
0.1645.44576272179564.02157717048146
0.1746.54327485636183.51715699595711
0.1847.48552107453673.03623142016721
0.1948.28619646670152.61701725938305
0.248.96648056160712.27588328339022
0.2149.55000222905222.0133911516808
0.2250.05941124818671.8222103558361
0.2350.51458740850171.69250158776063
0.2450.93201208107271.61396578168346
0.2551.32475668088641.57584671300864
0.2651.70272210539381.56727555790752
0.2752.07298280505191.57770181645194
0.2852.44022188753381.59820166120389
0.2952.80726575862421.62281532185533
0.353.17568102970541.64850077638698
0.3153.54634284327121.67495873929191
0.3253.91986490406651.70336339966508
0.3354.29680980539191.73477842388093
0.3454.67766086464241.76911767272091
0.3555.06260814687591.80414715308502
0.3655.45125616735361.8356852660353
0.3755.84238188838271.85823393478253
0.3856.23385401799131.86652883724352
0.3956.62277483749471.85646606001255
0.457.00583904693531.82675966987016
0.4157.37983981673941.77931007291669
0.4257.74220873238521.71881774847275
0.4358.09146591091281.6524939489195
0.4458.427481837361.58846653285491
0.4558.75150526832711.53443546952957
0.4659.06597528016761.49613452411746
0.4759.3741903288771.47685974241066
0.4859.67993639541341.47735175471411
0.4959.98717205744681.49675995122842
0.560.29983410898271.53363813470093
0.5160.62177638924361.58737343916323
0.5260.95680481914461.65807146166416
0.5361.30873954272671.7465166091849
0.5461.68142942297571.85354090814882
0.5562.07866391665761.97880639529711
0.5662.5039629389642.12023471049352
0.5762.9602630257432.27386239964327
0.5863.4495458129182.43349469139996
0.5963.97246659654012.59144382943174
0.664.52803812970072.7389323439615
0.6165.11341500624962.86678011674768
0.6265.72381509876322.96605103819573
0.6366.3526108303293.02825206155284
0.6466.9916223505593.04683748880274
0.6567.63163925305723.01796166419381
0.6668.26317836988222.94151478157189
0.6768.87744756778022.82236087030452
0.6869.46743227394572.67030826760978
0.6970.02896351626522.50047201471377
0.770.56157923869732.3320413007541
0.7171.06897077468782.18613198180946
0.7271.55882726177882.08303790274517
0.7372.04196190316822.03797494593055
0.7472.53072856554152.05638605204833
0.7573.0369071110492.13055044453583
0.7673.5694233903262.24033407536293
0.7774.13242222943352.35722505237729
0.7874.7242584016862.45127403342915
0.7975.33784958646142.49773976956384
0.875.96253356570332.48374265263302
0.8176.58715583343972.4119519413159
0.8277.20372169739082.3013141296414
0.8377.81073104211392.18383659516039
0.8478.41535851772542.09789924597291
0.8579.03391527299632.07942473625873
0.8679.6904117118352.15186330194492
0.8780.41341440414782.31908901691444
0.8881.23170268835282.56353707703526
0.8982.16951529806622.85102734685154
0.983.24257696748823.1385315281003
0.9184.45685005888953.38343064763031
0.9285.81286775569673.55622069006746
0.9387.31734003394423.66314724581071
0.9488.99537684054653.76991074149369
0.9590.87951853504223.95570803561342
0.9692.94476943187964.1070105406668
0.9795.00582786247153.77607048028318
0.9896.69873437774122.58362951254973
0.9997.69039307808680.95817678466008


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')