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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 computationSun, 11 Jul 2010 13:21:13 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Jul/11/t12788546086u2mstcp8qi32p9.htm/, Retrieved Fri, 03 May 2024 12:08:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=77988, Retrieved Fri, 03 May 2024 12:08:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsFebiri Lordina
Estimated Impact217

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] [Percentielen Omze...] [2010-07-11 13:21:13] [ee335b92128d1ec04d3c346475765c6a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
213
212
211
209
229
228
213
203
204
204
205
207
205
208
201
201
220
218
203
185
179
182
182
185
183
192
177
172
188
182
162
150
141
135
139
148
142
156
143
134
146
142
117
106
104
99
105
106
96
104
96
85
91
98
73
70
62
60
70
82
72
73
68
53
61
73
46
50
52
45
58
73
58
49
44
35
46
61
29
33
37
31
44
57
42
34
27
22
30
47
12
13
18
11
26
41
21
24
30
34
48
64
35
44
55
53
73
94
73
78
87
87
91
104
73
84
103
111
131
155

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77988&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]3 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=77988&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77988&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0112.08730821736061.93874495505618
0.0214.35898897485043.61924528963171
0.0317.24854936688354.35092882935597
0.0420.11359754535664.20661587604428
0.0522.61130972130473.87931336724532
0.0624.71999623380573.63565967996244
0.0726.53030338898953.44513880806966
0.0828.12333142059563.28797875945463
0.0929.55972363642423.20072138809108
0.130.89526790807423.22279786627655
0.1132.18503298639353.36685869807927
0.1233.47776136581423.61749517435591
0.1334.80816182814863.93139122856581
0.1436.19069175999844.23959438776948
0.1537.61705773948374.46507284934831
0.1639.05972456266134.55325218700110
0.1740.48178682750014.49553562334359
0.1841.85005225504974.33323648350867
0.1943.14606370249574.13998044483097
0.244.37083773184723.99288910093146
0.2145.5424031281883.94478955163507
0.2246.6884377252044.01116058804629
0.2347.83770654686764.17398469773207
0.2449.0134270628144.39790424095191
0.2550.23005457386084.64623855540495
0.2651.49336707129054.89088529020361
0.2752.80273965844245.11688719444403
0.2854.15420478442275.32094664687581
0.2955.54308384297635.50810276469156
0.356.96541017715075.68488096987753
0.3158.41789056217765.85376622287537
0.3259.89668256652446.00801348623252
0.3361.3957077964036.13188779720592
0.3462.90545515304166.20480701451964
0.3564.41314082092156.21024210428539
0.3665.90465298874526.14484495739583
0.3767.36802908998166.02474006587907
0.3868.79752961271785.88779904513074
0.3970.1969645485255.78727759452128
0.471.58099328861025.77915079865083
0.4172.9736731822095.90555188964193
0.4274.40439248314626.17957298916797
0.4375.90217559258536.57982265363089
0.4477.48987629731627.05821686385462
0.4579.17979127321527.55266722495616
0.4680.97174829038668.00430575780122
0.4782.85395761916888.36692842478389
0.4884.80616202622028.61525346683528
0.4986.8041446295368.7457024706686
0.588.82457389887898.77487129272762
0.5190.84941745646258.73571332777341
0.5292.86953996964968.67272374848993
0.5394.88738166930338.64021703327917
0.5496.91864225991038.69950785944666
0.5598.99267949058558.91343832894614
0.56101.1510468097129.33696803184966
0.57103.44350674386210.0013973683321
0.58105.92119488981610.8965386814286
0.59108.62742724095411.9625650489528
0.6111.58773656125213.0913551226459
0.61114.80165879561314.1452503554787
0.62118.23906468653514.9840437781714
0.63121.84310784152315.4980774216769
0.64125.54017496285915.6377775308321
0.65129.25504567440415.4293189918202
0.66132.92755279955114.9753717900161
0.67136.52611809212614.4311789856068
0.68140.05403552391813.9680581001579
0.69143.54620344989613.7246995940396
0.7147.05664504548013.7622234332904
0.71150.63985098938614.0414180397961
0.72154.33099016431614.4338785096605
0.73158.13079741711714.760630852893
0.74162.00013951844114.848144120149
0.75165.86685714225814.5779442698805
0.76169.64385876434313.9241083314202
0.77173.25347972699312.9666631790064
0.78176.65013740324611.8710324706082
0.79179.83272407583510.8411009384357
0.8182.84087037422410.0459749464251
0.81185.734901438849.54686814354498
0.82188.5662259878479.26187208074924
0.83191.3501231809459.00269463865579
0.84194.053464316498.56999129175064
0.85196.6044692965387.84494030886131
0.86198.9217659557116.84166787433202
0.87200.9503389003235.69767022606312
0.88202.6877933263434.61672563839581
0.89204.1885821748013.78545336571374
0.9205.5446138510993.29398903606458
0.91206.8525451432363.0942836784757
0.92208.1859697221003.04509141583365
0.93209.5924625355753.02315578612965
0.94211.1289186756133.02887253581929
0.95212.9284304558063.23450516897968
0.96215.2571540331063.84970328207353
0.97218.4661433378714.83485332410476
0.98222.6350482174795.53852908983459
0.99226.8088348699274.09770032652359

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 12.0873082173606 & 1.93874495505618 \tabularnewline
0.02 & 14.3589889748504 & 3.61924528963171 \tabularnewline
0.03 & 17.2485493668835 & 4.35092882935597 \tabularnewline
0.04 & 20.1135975453566 & 4.20661587604428 \tabularnewline
0.05 & 22.6113097213047 & 3.87931336724532 \tabularnewline
0.06 & 24.7199962338057 & 3.63565967996244 \tabularnewline
0.07 & 26.5303033889895 & 3.44513880806966 \tabularnewline
0.08 & 28.1233314205956 & 3.28797875945463 \tabularnewline
0.09 & 29.5597236364242 & 3.20072138809108 \tabularnewline
0.1 & 30.8952679080742 & 3.22279786627655 \tabularnewline
0.11 & 32.1850329863935 & 3.36685869807927 \tabularnewline
0.12 & 33.4777613658142 & 3.61749517435591 \tabularnewline
0.13 & 34.8081618281486 & 3.93139122856581 \tabularnewline
0.14 & 36.1906917599984 & 4.23959438776948 \tabularnewline
0.15 & 37.6170577394837 & 4.46507284934831 \tabularnewline
0.16 & 39.0597245626613 & 4.55325218700110 \tabularnewline
0.17 & 40.4817868275001 & 4.49553562334359 \tabularnewline
0.18 & 41.8500522550497 & 4.33323648350867 \tabularnewline
0.19 & 43.1460637024957 & 4.13998044483097 \tabularnewline
0.2 & 44.3708377318472 & 3.99288910093146 \tabularnewline
0.21 & 45.542403128188 & 3.94478955163507 \tabularnewline
0.22 & 46.688437725204 & 4.01116058804629 \tabularnewline
0.23 & 47.8377065468676 & 4.17398469773207 \tabularnewline
0.24 & 49.013427062814 & 4.39790424095191 \tabularnewline
0.25 & 50.2300545738608 & 4.64623855540495 \tabularnewline
0.26 & 51.4933670712905 & 4.89088529020361 \tabularnewline
0.27 & 52.8027396584424 & 5.11688719444403 \tabularnewline
0.28 & 54.1542047844227 & 5.32094664687581 \tabularnewline
0.29 & 55.5430838429763 & 5.50810276469156 \tabularnewline
0.3 & 56.9654101771507 & 5.68488096987753 \tabularnewline
0.31 & 58.4178905621776 & 5.85376622287537 \tabularnewline
0.32 & 59.8966825665244 & 6.00801348623252 \tabularnewline
0.33 & 61.395707796403 & 6.13188779720592 \tabularnewline
0.34 & 62.9054551530416 & 6.20480701451964 \tabularnewline
0.35 & 64.4131408209215 & 6.21024210428539 \tabularnewline
0.36 & 65.9046529887452 & 6.14484495739583 \tabularnewline
0.37 & 67.3680290899816 & 6.02474006587907 \tabularnewline
0.38 & 68.7975296127178 & 5.88779904513074 \tabularnewline
0.39 & 70.196964548525 & 5.78727759452128 \tabularnewline
0.4 & 71.5809932886102 & 5.77915079865083 \tabularnewline
0.41 & 72.973673182209 & 5.90555188964193 \tabularnewline
0.42 & 74.4043924831462 & 6.17957298916797 \tabularnewline
0.43 & 75.9021755925853 & 6.57982265363089 \tabularnewline
0.44 & 77.4898762973162 & 7.05821686385462 \tabularnewline
0.45 & 79.1797912732152 & 7.55266722495616 \tabularnewline
0.46 & 80.9717482903866 & 8.00430575780122 \tabularnewline
0.47 & 82.8539576191688 & 8.36692842478389 \tabularnewline
0.48 & 84.8061620262202 & 8.61525346683528 \tabularnewline
0.49 & 86.804144629536 & 8.7457024706686 \tabularnewline
0.5 & 88.8245738988789 & 8.77487129272762 \tabularnewline
0.51 & 90.8494174564625 & 8.73571332777341 \tabularnewline
0.52 & 92.8695399696496 & 8.67272374848993 \tabularnewline
0.53 & 94.8873816693033 & 8.64021703327917 \tabularnewline
0.54 & 96.9186422599103 & 8.69950785944666 \tabularnewline
0.55 & 98.9926794905855 & 8.91343832894614 \tabularnewline
0.56 & 101.151046809712 & 9.33696803184966 \tabularnewline
0.57 & 103.443506743862 & 10.0013973683321 \tabularnewline
0.58 & 105.921194889816 & 10.8965386814286 \tabularnewline
0.59 & 108.627427240954 & 11.9625650489528 \tabularnewline
0.6 & 111.587736561252 & 13.0913551226459 \tabularnewline
0.61 & 114.801658795613 & 14.1452503554787 \tabularnewline
0.62 & 118.239064686535 & 14.9840437781714 \tabularnewline
0.63 & 121.843107841523 & 15.4980774216769 \tabularnewline
0.64 & 125.540174962859 & 15.6377775308321 \tabularnewline
0.65 & 129.255045674404 & 15.4293189918202 \tabularnewline
0.66 & 132.927552799551 & 14.9753717900161 \tabularnewline
0.67 & 136.526118092126 & 14.4311789856068 \tabularnewline
0.68 & 140.054035523918 & 13.9680581001579 \tabularnewline
0.69 & 143.546203449896 & 13.7246995940396 \tabularnewline
0.7 & 147.056645045480 & 13.7622234332904 \tabularnewline
0.71 & 150.639850989386 & 14.0414180397961 \tabularnewline
0.72 & 154.330990164316 & 14.4338785096605 \tabularnewline
0.73 & 158.130797417117 & 14.760630852893 \tabularnewline
0.74 & 162.000139518441 & 14.848144120149 \tabularnewline
0.75 & 165.866857142258 & 14.5779442698805 \tabularnewline
0.76 & 169.643858764343 & 13.9241083314202 \tabularnewline
0.77 & 173.253479726993 & 12.9666631790064 \tabularnewline
0.78 & 176.650137403246 & 11.8710324706082 \tabularnewline
0.79 & 179.832724075835 & 10.8411009384357 \tabularnewline
0.8 & 182.840870374224 & 10.0459749464251 \tabularnewline
0.81 & 185.73490143884 & 9.54686814354498 \tabularnewline
0.82 & 188.566225987847 & 9.26187208074924 \tabularnewline
0.83 & 191.350123180945 & 9.00269463865579 \tabularnewline
0.84 & 194.05346431649 & 8.56999129175064 \tabularnewline
0.85 & 196.604469296538 & 7.84494030886131 \tabularnewline
0.86 & 198.921765955711 & 6.84166787433202 \tabularnewline
0.87 & 200.950338900323 & 5.69767022606312 \tabularnewline
0.88 & 202.687793326343 & 4.61672563839581 \tabularnewline
0.89 & 204.188582174801 & 3.78545336571374 \tabularnewline
0.9 & 205.544613851099 & 3.29398903606458 \tabularnewline
0.91 & 206.852545143236 & 3.0942836784757 \tabularnewline
0.92 & 208.185969722100 & 3.04509141583365 \tabularnewline
0.93 & 209.592462535575 & 3.02315578612965 \tabularnewline
0.94 & 211.128918675613 & 3.02887253581929 \tabularnewline
0.95 & 212.928430455806 & 3.23450516897968 \tabularnewline
0.96 & 215.257154033106 & 3.84970328207353 \tabularnewline
0.97 & 218.466143337871 & 4.83485332410476 \tabularnewline
0.98 & 222.635048217479 & 5.53852908983459 \tabularnewline
0.99 & 226.808834869927 & 4.09770032652359 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77988&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]12.0873082173606[/C][C]1.93874495505618[/C][/ROW]
[ROW][C]0.02[/C][C]14.3589889748504[/C][C]3.61924528963171[/C][/ROW]
[ROW][C]0.03[/C][C]17.2485493668835[/C][C]4.35092882935597[/C][/ROW]
[ROW][C]0.04[/C][C]20.1135975453566[/C][C]4.20661587604428[/C][/ROW]
[ROW][C]0.05[/C][C]22.6113097213047[/C][C]3.87931336724532[/C][/ROW]
[ROW][C]0.06[/C][C]24.7199962338057[/C][C]3.63565967996244[/C][/ROW]
[ROW][C]0.07[/C][C]26.5303033889895[/C][C]3.44513880806966[/C][/ROW]
[ROW][C]0.08[/C][C]28.1233314205956[/C][C]3.28797875945463[/C][/ROW]
[ROW][C]0.09[/C][C]29.5597236364242[/C][C]3.20072138809108[/C][/ROW]
[ROW][C]0.1[/C][C]30.8952679080742[/C][C]3.22279786627655[/C][/ROW]
[ROW][C]0.11[/C][C]32.1850329863935[/C][C]3.36685869807927[/C][/ROW]
[ROW][C]0.12[/C][C]33.4777613658142[/C][C]3.61749517435591[/C][/ROW]
[ROW][C]0.13[/C][C]34.8081618281486[/C][C]3.93139122856581[/C][/ROW]
[ROW][C]0.14[/C][C]36.1906917599984[/C][C]4.23959438776948[/C][/ROW]
[ROW][C]0.15[/C][C]37.6170577394837[/C][C]4.46507284934831[/C][/ROW]
[ROW][C]0.16[/C][C]39.0597245626613[/C][C]4.55325218700110[/C][/ROW]
[ROW][C]0.17[/C][C]40.4817868275001[/C][C]4.49553562334359[/C][/ROW]
[ROW][C]0.18[/C][C]41.8500522550497[/C][C]4.33323648350867[/C][/ROW]
[ROW][C]0.19[/C][C]43.1460637024957[/C][C]4.13998044483097[/C][/ROW]
[ROW][C]0.2[/C][C]44.3708377318472[/C][C]3.99288910093146[/C][/ROW]
[ROW][C]0.21[/C][C]45.542403128188[/C][C]3.94478955163507[/C][/ROW]
[ROW][C]0.22[/C][C]46.688437725204[/C][C]4.01116058804629[/C][/ROW]
[ROW][C]0.23[/C][C]47.8377065468676[/C][C]4.17398469773207[/C][/ROW]
[ROW][C]0.24[/C][C]49.013427062814[/C][C]4.39790424095191[/C][/ROW]
[ROW][C]0.25[/C][C]50.2300545738608[/C][C]4.64623855540495[/C][/ROW]
[ROW][C]0.26[/C][C]51.4933670712905[/C][C]4.89088529020361[/C][/ROW]
[ROW][C]0.27[/C][C]52.8027396584424[/C][C]5.11688719444403[/C][/ROW]
[ROW][C]0.28[/C][C]54.1542047844227[/C][C]5.32094664687581[/C][/ROW]
[ROW][C]0.29[/C][C]55.5430838429763[/C][C]5.50810276469156[/C][/ROW]
[ROW][C]0.3[/C][C]56.9654101771507[/C][C]5.68488096987753[/C][/ROW]
[ROW][C]0.31[/C][C]58.4178905621776[/C][C]5.85376622287537[/C][/ROW]
[ROW][C]0.32[/C][C]59.8966825665244[/C][C]6.00801348623252[/C][/ROW]
[ROW][C]0.33[/C][C]61.395707796403[/C][C]6.13188779720592[/C][/ROW]
[ROW][C]0.34[/C][C]62.9054551530416[/C][C]6.20480701451964[/C][/ROW]
[ROW][C]0.35[/C][C]64.4131408209215[/C][C]6.21024210428539[/C][/ROW]
[ROW][C]0.36[/C][C]65.9046529887452[/C][C]6.14484495739583[/C][/ROW]
[ROW][C]0.37[/C][C]67.3680290899816[/C][C]6.02474006587907[/C][/ROW]
[ROW][C]0.38[/C][C]68.7975296127178[/C][C]5.88779904513074[/C][/ROW]
[ROW][C]0.39[/C][C]70.196964548525[/C][C]5.78727759452128[/C][/ROW]
[ROW][C]0.4[/C][C]71.5809932886102[/C][C]5.77915079865083[/C][/ROW]
[ROW][C]0.41[/C][C]72.973673182209[/C][C]5.90555188964193[/C][/ROW]
[ROW][C]0.42[/C][C]74.4043924831462[/C][C]6.17957298916797[/C][/ROW]
[ROW][C]0.43[/C][C]75.9021755925853[/C][C]6.57982265363089[/C][/ROW]
[ROW][C]0.44[/C][C]77.4898762973162[/C][C]7.05821686385462[/C][/ROW]
[ROW][C]0.45[/C][C]79.1797912732152[/C][C]7.55266722495616[/C][/ROW]
[ROW][C]0.46[/C][C]80.9717482903866[/C][C]8.00430575780122[/C][/ROW]
[ROW][C]0.47[/C][C]82.8539576191688[/C][C]8.36692842478389[/C][/ROW]
[ROW][C]0.48[/C][C]84.8061620262202[/C][C]8.61525346683528[/C][/ROW]
[ROW][C]0.49[/C][C]86.804144629536[/C][C]8.7457024706686[/C][/ROW]
[ROW][C]0.5[/C][C]88.8245738988789[/C][C]8.77487129272762[/C][/ROW]
[ROW][C]0.51[/C][C]90.8494174564625[/C][C]8.73571332777341[/C][/ROW]
[ROW][C]0.52[/C][C]92.8695399696496[/C][C]8.67272374848993[/C][/ROW]
[ROW][C]0.53[/C][C]94.8873816693033[/C][C]8.64021703327917[/C][/ROW]
[ROW][C]0.54[/C][C]96.9186422599103[/C][C]8.69950785944666[/C][/ROW]
[ROW][C]0.55[/C][C]98.9926794905855[/C][C]8.91343832894614[/C][/ROW]
[ROW][C]0.56[/C][C]101.151046809712[/C][C]9.33696803184966[/C][/ROW]
[ROW][C]0.57[/C][C]103.443506743862[/C][C]10.0013973683321[/C][/ROW]
[ROW][C]0.58[/C][C]105.921194889816[/C][C]10.8965386814286[/C][/ROW]
[ROW][C]0.59[/C][C]108.627427240954[/C][C]11.9625650489528[/C][/ROW]
[ROW][C]0.6[/C][C]111.587736561252[/C][C]13.0913551226459[/C][/ROW]
[ROW][C]0.61[/C][C]114.801658795613[/C][C]14.1452503554787[/C][/ROW]
[ROW][C]0.62[/C][C]118.239064686535[/C][C]14.9840437781714[/C][/ROW]
[ROW][C]0.63[/C][C]121.843107841523[/C][C]15.4980774216769[/C][/ROW]
[ROW][C]0.64[/C][C]125.540174962859[/C][C]15.6377775308321[/C][/ROW]
[ROW][C]0.65[/C][C]129.255045674404[/C][C]15.4293189918202[/C][/ROW]
[ROW][C]0.66[/C][C]132.927552799551[/C][C]14.9753717900161[/C][/ROW]
[ROW][C]0.67[/C][C]136.526118092126[/C][C]14.4311789856068[/C][/ROW]
[ROW][C]0.68[/C][C]140.054035523918[/C][C]13.9680581001579[/C][/ROW]
[ROW][C]0.69[/C][C]143.546203449896[/C][C]13.7246995940396[/C][/ROW]
[ROW][C]0.7[/C][C]147.056645045480[/C][C]13.7622234332904[/C][/ROW]
[ROW][C]0.71[/C][C]150.639850989386[/C][C]14.0414180397961[/C][/ROW]
[ROW][C]0.72[/C][C]154.330990164316[/C][C]14.4338785096605[/C][/ROW]
[ROW][C]0.73[/C][C]158.130797417117[/C][C]14.760630852893[/C][/ROW]
[ROW][C]0.74[/C][C]162.000139518441[/C][C]14.848144120149[/C][/ROW]
[ROW][C]0.75[/C][C]165.866857142258[/C][C]14.5779442698805[/C][/ROW]
[ROW][C]0.76[/C][C]169.643858764343[/C][C]13.9241083314202[/C][/ROW]
[ROW][C]0.77[/C][C]173.253479726993[/C][C]12.9666631790064[/C][/ROW]
[ROW][C]0.78[/C][C]176.650137403246[/C][C]11.8710324706082[/C][/ROW]
[ROW][C]0.79[/C][C]179.832724075835[/C][C]10.8411009384357[/C][/ROW]
[ROW][C]0.8[/C][C]182.840870374224[/C][C]10.0459749464251[/C][/ROW]
[ROW][C]0.81[/C][C]185.73490143884[/C][C]9.54686814354498[/C][/ROW]
[ROW][C]0.82[/C][C]188.566225987847[/C][C]9.26187208074924[/C][/ROW]
[ROW][C]0.83[/C][C]191.350123180945[/C][C]9.00269463865579[/C][/ROW]
[ROW][C]0.84[/C][C]194.05346431649[/C][C]8.56999129175064[/C][/ROW]
[ROW][C]0.85[/C][C]196.604469296538[/C][C]7.84494030886131[/C][/ROW]
[ROW][C]0.86[/C][C]198.921765955711[/C][C]6.84166787433202[/C][/ROW]
[ROW][C]0.87[/C][C]200.950338900323[/C][C]5.69767022606312[/C][/ROW]
[ROW][C]0.88[/C][C]202.687793326343[/C][C]4.61672563839581[/C][/ROW]
[ROW][C]0.89[/C][C]204.188582174801[/C][C]3.78545336571374[/C][/ROW]
[ROW][C]0.9[/C][C]205.544613851099[/C][C]3.29398903606458[/C][/ROW]
[ROW][C]0.91[/C][C]206.852545143236[/C][C]3.0942836784757[/C][/ROW]
[ROW][C]0.92[/C][C]208.185969722100[/C][C]3.04509141583365[/C][/ROW]
[ROW][C]0.93[/C][C]209.592462535575[/C][C]3.02315578612965[/C][/ROW]
[ROW][C]0.94[/C][C]211.128918675613[/C][C]3.02887253581929[/C][/ROW]
[ROW][C]0.95[/C][C]212.928430455806[/C][C]3.23450516897968[/C][/ROW]
[ROW][C]0.96[/C][C]215.257154033106[/C][C]3.84970328207353[/C][/ROW]
[ROW][C]0.97[/C][C]218.466143337871[/C][C]4.83485332410476[/C][/ROW]
[ROW][C]0.98[/C][C]222.635048217479[/C][C]5.53852908983459[/C][/ROW]
[ROW][C]0.99[/C][C]226.808834869927[/C][C]4.09770032652359[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77988&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77988&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
0.0112.08730821736061.93874495505618
0.0214.35898897485043.61924528963171
0.0317.24854936688354.35092882935597
0.0420.11359754535664.20661587604428
0.0522.61130972130473.87931336724532
0.0624.71999623380573.63565967996244
0.0726.53030338898953.44513880806966
0.0828.12333142059563.28797875945463
0.0929.55972363642423.20072138809108
0.130.89526790807423.22279786627655
0.1132.18503298639353.36685869807927
0.1233.47776136581423.61749517435591
0.1334.80816182814863.93139122856581
0.1436.19069175999844.23959438776948
0.1537.61705773948374.46507284934831
0.1639.05972456266134.55325218700110
0.1740.48178682750014.49553562334359
0.1841.85005225504974.33323648350867
0.1943.14606370249574.13998044483097
0.244.37083773184723.99288910093146
0.2145.5424031281883.94478955163507
0.2246.6884377252044.01116058804629
0.2347.83770654686764.17398469773207
0.2449.0134270628144.39790424095191
0.2550.23005457386084.64623855540495
0.2651.49336707129054.89088529020361
0.2752.80273965844245.11688719444403
0.2854.15420478442275.32094664687581
0.2955.54308384297635.50810276469156
0.356.96541017715075.68488096987753
0.3158.41789056217765.85376622287537
0.3259.89668256652446.00801348623252
0.3361.3957077964036.13188779720592
0.3462.90545515304166.20480701451964
0.3564.41314082092156.21024210428539
0.3665.90465298874526.14484495739583
0.3767.36802908998166.02474006587907
0.3868.79752961271785.88779904513074
0.3970.1969645485255.78727759452128
0.471.58099328861025.77915079865083
0.4172.9736731822095.90555188964193
0.4274.40439248314626.17957298916797
0.4375.90217559258536.57982265363089
0.4477.48987629731627.05821686385462
0.4579.17979127321527.55266722495616
0.4680.97174829038668.00430575780122
0.4782.85395761916888.36692842478389
0.4884.80616202622028.61525346683528
0.4986.8041446295368.7457024706686
0.588.82457389887898.77487129272762
0.5190.84941745646258.73571332777341
0.5292.86953996964968.67272374848993
0.5394.88738166930338.64021703327917
0.5496.91864225991038.69950785944666
0.5598.99267949058558.91343832894614
0.56101.1510468097129.33696803184966
0.57103.44350674386210.0013973683321
0.58105.92119488981610.8965386814286
0.59108.62742724095411.9625650489528
0.6111.58773656125213.0913551226459
0.61114.80165879561314.1452503554787
0.62118.23906468653514.9840437781714
0.63121.84310784152315.4980774216769
0.64125.54017496285915.6377775308321
0.65129.25504567440415.4293189918202
0.66132.92755279955114.9753717900161
0.67136.52611809212614.4311789856068
0.68140.05403552391813.9680581001579
0.69143.54620344989613.7246995940396
0.7147.05664504548013.7622234332904
0.71150.63985098938614.0414180397961
0.72154.33099016431614.4338785096605
0.73158.13079741711714.760630852893
0.74162.00013951844114.848144120149
0.75165.86685714225814.5779442698805
0.76169.64385876434313.9241083314202
0.77173.25347972699312.9666631790064
0.78176.65013740324611.8710324706082
0.79179.83272407583510.8411009384357
0.8182.84087037422410.0459749464251
0.81185.734901438849.54686814354498
0.82188.5662259878479.26187208074924
0.83191.3501231809459.00269463865579
0.84194.053464316498.56999129175064
0.85196.6044692965387.84494030886131
0.86198.9217659557116.84166787433202
0.87200.9503389003235.69767022606312
0.88202.6877933263434.61672563839581
0.89204.1885821748013.78545336571374
0.9205.5446138510993.29398903606458
0.91206.8525451432363.0942836784757
0.92208.1859697221003.04509141583365
0.93209.5924625355753.02315578612965
0.94211.1289186756133.02887253581929
0.95212.9284304558063.23450516897968
0.96215.2571540331063.84970328207353
0.97218.4661433378714.83485332410476
0.98222.6350482174795.53852908983459
0.99226.8088348699274.09770032652359


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')