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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 19 Aug 2010 15:44:14 +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/Aug/19/t1282232809axy95znglksimgf.htm/, Retrieved Fri, 03 May 2024 04:02:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79322, Retrieved Fri, 03 May 2024 04:02:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsellen aerts
Estimated Impact118

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] ["Tijdreeks A stap...] [2010-08-19 15:44:14] [6e43eada780a1520be8ab5bc59456d41] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
25
24
23
21
41
40
25
15
16
16
17
19
18
19
20
21
46
47
30
16
15
18
30
31
32
36
30
31
61
57
45
33
31
36
46
49
34
40
41
48
75
77
71
54
50
56
66
66
48
63
71
70
88
92
91
80
81
81
98
106
85
93
96
92
115
109
119
107
107
106
132
143
120
123
132
136
158
151
155
138
143
139
168
182
154
158
167
170
197
190
196
174
180
171
200
215
184
186
197
186
211
205
218
199
213
207
236
248
211
220
235
223
245
236
253
246
255
248
274
288

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79322&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79322&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79322&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0115.19595598316660.414536125858450
0.0215.62535384333710.62860737436635
0.0316.14490524063780.790276789088495
0.0416.71827727034631.05766908920643
0.0517.36549760078461.30610612332480
0.0618.08206444361371.51901614417452
0.0718.85919929793311.76894448607345
0.0819.70816260804872.10164768615334
0.0920.65169407723642.50419271234048
0.121.70504036585072.92800073135328
0.1122.86448209609823.31172968787053
0.1224.10569485337883.597270646231
0.1325.38933869995483.74660597458207
0.1426.67152629631913.75784433883045
0.1527.91633115590193.67271222774349
0.1629.10621616128863.56710256408166
0.1730.24636839387543.5256271865956
0.1831.36128139624553.60777117631792
0.1932.48530475125123.82429272877962
0.233.6512566870974.13986045204726
0.2134.88138688504734.49617587773187
0.2236.18329331037054.83640269030138
0.2337.55108407683065.12061078806191
0.2438.97031656515805.33351093699562
0.2540.42454159504025.48419679709471
0.2641.90145861516805.60243731355335
0.2743.39728927316365.73088190518061
0.2844.91862886283025.91511632297879
0.2946.48160004294566.19217885090146
0.348.10863456154626.57987215166813
0.3149.82367479706067.0704716317847
0.3251.64695168834387.63277670067638
0.3353.59061999214118.22009658164947
0.3455.65630883822178.7817596903999
0.3557.8350989568279.27524797552721
0.3660.10973987930319.67317972094064
0.3762.45831777251879.96725868618644
0.3864.858283265987310.1660628389368
0.3967.289824148626910.2901262652104
0.469.737945509574710.3638298556173
0.4172.193124241700810.4107199004708
0.4274.650843100458510.4489152261370
0.4377.1105473746110.4906389160550
0.4479.574567300525710.5440952238165
0.4582.047366159317910.6154440819235
0.4684.535216441029510.7121240927265
0.4787.046187248410610.8427700780781
0.4889.590217573209111.0162785082319
0.4992.17906154554411.2410257952125
0.594.825976469611.5225901957908
0.5197.545113115627711.8625828422192
0.52100.35061270442412.2586437586236
0.53103.25542015191112.7026110518609
0.54106.26983829773213.1806753730940
0.55109.39992718346313.6710079205592
0.56112.64600168953714.1444585847755
0.57116.00163203142814.5679143348946
0.58119.45359094462814.9095739820035
0.59122.98303059403415.1462316858032
0.6126.56782009854915.2689449203561
0.61130.18555751672215.2846080365860
0.62133.81647944554115.2142519904295
0.63137.44548141959215.0852961723253
0.64141.06275974881214.9238250478538
0.65144.66306646078514.7478167759796
0.66148.24402129200414.5648068349235
0.67151.80415886522314.3729126024576
0.68155.34133425036614.1648191420653
0.69158.85183823986013.9319182589148
0.7162.33024540563913.6683014077816
0.71165.76978603545013.3703204001759
0.72169.16296521736613.0371949544891
0.73172.50221753940812.6711109069590
0.74175.78050246237312.2756186851892
0.75178.99184768311111.8568689568397
0.76182.13191313101111.4218126628493
0.77185.19866581506810.9803030386821
0.78188.19318645684210.5434408988135
0.79191.12043971383110.1256000874305
0.8193.9896247831489.74164791122706
0.81196.8137727386069.40423623328882
0.82199.6088746121919.11969178185216
0.83202.3938814693838.88771834630957
0.84205.1935199056328.71450349352832
0.85208.0446917239078.63161978996911
0.86211.0037221128978.70257649093194
0.87214.1474719643358.99481914931418
0.88217.5601665134259.51354358837648
0.89221.30336849889710.1401832190913
0.9225.37801273890610.6383875997951
0.91229.69744201822310.7421565063641
0.92234.09061312162910.2749455630707
0.93238.3468030367089.23051623395792
0.94242.3103176792507.80979746262007
0.95246.0440225061896.48724897250986
0.96250.0880449640816.16032354018669
0.97255.7534626971078.05103346971074
0.98264.93485665807211.978944462600
0.99277.87111251054214.2981637235321

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 15.1959559831666 & 0.414536125858450 \tabularnewline
0.02 & 15.6253538433371 & 0.62860737436635 \tabularnewline
0.03 & 16.1449052406378 & 0.790276789088495 \tabularnewline
0.04 & 16.7182772703463 & 1.05766908920643 \tabularnewline
0.05 & 17.3654976007846 & 1.30610612332480 \tabularnewline
0.06 & 18.0820644436137 & 1.51901614417452 \tabularnewline
0.07 & 18.8591992979331 & 1.76894448607345 \tabularnewline
0.08 & 19.7081626080487 & 2.10164768615334 \tabularnewline
0.09 & 20.6516940772364 & 2.50419271234048 \tabularnewline
0.1 & 21.7050403658507 & 2.92800073135328 \tabularnewline
0.11 & 22.8644820960982 & 3.31172968787053 \tabularnewline
0.12 & 24.1056948533788 & 3.597270646231 \tabularnewline
0.13 & 25.3893386999548 & 3.74660597458207 \tabularnewline
0.14 & 26.6715262963191 & 3.75784433883045 \tabularnewline
0.15 & 27.9163311559019 & 3.67271222774349 \tabularnewline
0.16 & 29.1062161612886 & 3.56710256408166 \tabularnewline
0.17 & 30.2463683938754 & 3.5256271865956 \tabularnewline
0.18 & 31.3612813962455 & 3.60777117631792 \tabularnewline
0.19 & 32.4853047512512 & 3.82429272877962 \tabularnewline
0.2 & 33.651256687097 & 4.13986045204726 \tabularnewline
0.21 & 34.8813868850473 & 4.49617587773187 \tabularnewline
0.22 & 36.1832933103705 & 4.83640269030138 \tabularnewline
0.23 & 37.5510840768306 & 5.12061078806191 \tabularnewline
0.24 & 38.9703165651580 & 5.33351093699562 \tabularnewline
0.25 & 40.4245415950402 & 5.48419679709471 \tabularnewline
0.26 & 41.9014586151680 & 5.60243731355335 \tabularnewline
0.27 & 43.3972892731636 & 5.73088190518061 \tabularnewline
0.28 & 44.9186288628302 & 5.91511632297879 \tabularnewline
0.29 & 46.4816000429456 & 6.19217885090146 \tabularnewline
0.3 & 48.1086345615462 & 6.57987215166813 \tabularnewline
0.31 & 49.8236747970606 & 7.0704716317847 \tabularnewline
0.32 & 51.6469516883438 & 7.63277670067638 \tabularnewline
0.33 & 53.5906199921411 & 8.22009658164947 \tabularnewline
0.34 & 55.6563088382217 & 8.7817596903999 \tabularnewline
0.35 & 57.835098956827 & 9.27524797552721 \tabularnewline
0.36 & 60.1097398793031 & 9.67317972094064 \tabularnewline
0.37 & 62.4583177725187 & 9.96725868618644 \tabularnewline
0.38 & 64.8582832659873 & 10.1660628389368 \tabularnewline
0.39 & 67.2898241486269 & 10.2901262652104 \tabularnewline
0.4 & 69.7379455095747 & 10.3638298556173 \tabularnewline
0.41 & 72.1931242417008 & 10.4107199004708 \tabularnewline
0.42 & 74.6508431004585 & 10.4489152261370 \tabularnewline
0.43 & 77.11054737461 & 10.4906389160550 \tabularnewline
0.44 & 79.5745673005257 & 10.5440952238165 \tabularnewline
0.45 & 82.0473661593179 & 10.6154440819235 \tabularnewline
0.46 & 84.5352164410295 & 10.7121240927265 \tabularnewline
0.47 & 87.0461872484106 & 10.8427700780781 \tabularnewline
0.48 & 89.5902175732091 & 11.0162785082319 \tabularnewline
0.49 & 92.179061545544 & 11.2410257952125 \tabularnewline
0.5 & 94.8259764696 & 11.5225901957908 \tabularnewline
0.51 & 97.5451131156277 & 11.8625828422192 \tabularnewline
0.52 & 100.350612704424 & 12.2586437586236 \tabularnewline
0.53 & 103.255420151911 & 12.7026110518609 \tabularnewline
0.54 & 106.269838297732 & 13.1806753730940 \tabularnewline
0.55 & 109.399927183463 & 13.6710079205592 \tabularnewline
0.56 & 112.646001689537 & 14.1444585847755 \tabularnewline
0.57 & 116.001632031428 & 14.5679143348946 \tabularnewline
0.58 & 119.453590944628 & 14.9095739820035 \tabularnewline
0.59 & 122.983030594034 & 15.1462316858032 \tabularnewline
0.6 & 126.567820098549 & 15.2689449203561 \tabularnewline
0.61 & 130.185557516722 & 15.2846080365860 \tabularnewline
0.62 & 133.816479445541 & 15.2142519904295 \tabularnewline
0.63 & 137.445481419592 & 15.0852961723253 \tabularnewline
0.64 & 141.062759748812 & 14.9238250478538 \tabularnewline
0.65 & 144.663066460785 & 14.7478167759796 \tabularnewline
0.66 & 148.244021292004 & 14.5648068349235 \tabularnewline
0.67 & 151.804158865223 & 14.3729126024576 \tabularnewline
0.68 & 155.341334250366 & 14.1648191420653 \tabularnewline
0.69 & 158.851838239860 & 13.9319182589148 \tabularnewline
0.7 & 162.330245405639 & 13.6683014077816 \tabularnewline
0.71 & 165.769786035450 & 13.3703204001759 \tabularnewline
0.72 & 169.162965217366 & 13.0371949544891 \tabularnewline
0.73 & 172.502217539408 & 12.6711109069590 \tabularnewline
0.74 & 175.780502462373 & 12.2756186851892 \tabularnewline
0.75 & 178.991847683111 & 11.8568689568397 \tabularnewline
0.76 & 182.131913131011 & 11.4218126628493 \tabularnewline
0.77 & 185.198665815068 & 10.9803030386821 \tabularnewline
0.78 & 188.193186456842 & 10.5434408988135 \tabularnewline
0.79 & 191.120439713831 & 10.1256000874305 \tabularnewline
0.8 & 193.989624783148 & 9.74164791122706 \tabularnewline
0.81 & 196.813772738606 & 9.40423623328882 \tabularnewline
0.82 & 199.608874612191 & 9.11969178185216 \tabularnewline
0.83 & 202.393881469383 & 8.88771834630957 \tabularnewline
0.84 & 205.193519905632 & 8.71450349352832 \tabularnewline
0.85 & 208.044691723907 & 8.63161978996911 \tabularnewline
0.86 & 211.003722112897 & 8.70257649093194 \tabularnewline
0.87 & 214.147471964335 & 8.99481914931418 \tabularnewline
0.88 & 217.560166513425 & 9.51354358837648 \tabularnewline
0.89 & 221.303368498897 & 10.1401832190913 \tabularnewline
0.9 & 225.378012738906 & 10.6383875997951 \tabularnewline
0.91 & 229.697442018223 & 10.7421565063641 \tabularnewline
0.92 & 234.090613121629 & 10.2749455630707 \tabularnewline
0.93 & 238.346803036708 & 9.23051623395792 \tabularnewline
0.94 & 242.310317679250 & 7.80979746262007 \tabularnewline
0.95 & 246.044022506189 & 6.48724897250986 \tabularnewline
0.96 & 250.088044964081 & 6.16032354018669 \tabularnewline
0.97 & 255.753462697107 & 8.05103346971074 \tabularnewline
0.98 & 264.934856658072 & 11.978944462600 \tabularnewline
0.99 & 277.871112510542 & 14.2981637235321 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79322&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]15.1959559831666[/C][C]0.414536125858450[/C][/ROW]
[ROW][C]0.02[/C][C]15.6253538433371[/C][C]0.62860737436635[/C][/ROW]
[ROW][C]0.03[/C][C]16.1449052406378[/C][C]0.790276789088495[/C][/ROW]
[ROW][C]0.04[/C][C]16.7182772703463[/C][C]1.05766908920643[/C][/ROW]
[ROW][C]0.05[/C][C]17.3654976007846[/C][C]1.30610612332480[/C][/ROW]
[ROW][C]0.06[/C][C]18.0820644436137[/C][C]1.51901614417452[/C][/ROW]
[ROW][C]0.07[/C][C]18.8591992979331[/C][C]1.76894448607345[/C][/ROW]
[ROW][C]0.08[/C][C]19.7081626080487[/C][C]2.10164768615334[/C][/ROW]
[ROW][C]0.09[/C][C]20.6516940772364[/C][C]2.50419271234048[/C][/ROW]
[ROW][C]0.1[/C][C]21.7050403658507[/C][C]2.92800073135328[/C][/ROW]
[ROW][C]0.11[/C][C]22.8644820960982[/C][C]3.31172968787053[/C][/ROW]
[ROW][C]0.12[/C][C]24.1056948533788[/C][C]3.597270646231[/C][/ROW]
[ROW][C]0.13[/C][C]25.3893386999548[/C][C]3.74660597458207[/C][/ROW]
[ROW][C]0.14[/C][C]26.6715262963191[/C][C]3.75784433883045[/C][/ROW]
[ROW][C]0.15[/C][C]27.9163311559019[/C][C]3.67271222774349[/C][/ROW]
[ROW][C]0.16[/C][C]29.1062161612886[/C][C]3.56710256408166[/C][/ROW]
[ROW][C]0.17[/C][C]30.2463683938754[/C][C]3.5256271865956[/C][/ROW]
[ROW][C]0.18[/C][C]31.3612813962455[/C][C]3.60777117631792[/C][/ROW]
[ROW][C]0.19[/C][C]32.4853047512512[/C][C]3.82429272877962[/C][/ROW]
[ROW][C]0.2[/C][C]33.651256687097[/C][C]4.13986045204726[/C][/ROW]
[ROW][C]0.21[/C][C]34.8813868850473[/C][C]4.49617587773187[/C][/ROW]
[ROW][C]0.22[/C][C]36.1832933103705[/C][C]4.83640269030138[/C][/ROW]
[ROW][C]0.23[/C][C]37.5510840768306[/C][C]5.12061078806191[/C][/ROW]
[ROW][C]0.24[/C][C]38.9703165651580[/C][C]5.33351093699562[/C][/ROW]
[ROW][C]0.25[/C][C]40.4245415950402[/C][C]5.48419679709471[/C][/ROW]
[ROW][C]0.26[/C][C]41.9014586151680[/C][C]5.60243731355335[/C][/ROW]
[ROW][C]0.27[/C][C]43.3972892731636[/C][C]5.73088190518061[/C][/ROW]
[ROW][C]0.28[/C][C]44.9186288628302[/C][C]5.91511632297879[/C][/ROW]
[ROW][C]0.29[/C][C]46.4816000429456[/C][C]6.19217885090146[/C][/ROW]
[ROW][C]0.3[/C][C]48.1086345615462[/C][C]6.57987215166813[/C][/ROW]
[ROW][C]0.31[/C][C]49.8236747970606[/C][C]7.0704716317847[/C][/ROW]
[ROW][C]0.32[/C][C]51.6469516883438[/C][C]7.63277670067638[/C][/ROW]
[ROW][C]0.33[/C][C]53.5906199921411[/C][C]8.22009658164947[/C][/ROW]
[ROW][C]0.34[/C][C]55.6563088382217[/C][C]8.7817596903999[/C][/ROW]
[ROW][C]0.35[/C][C]57.835098956827[/C][C]9.27524797552721[/C][/ROW]
[ROW][C]0.36[/C][C]60.1097398793031[/C][C]9.67317972094064[/C][/ROW]
[ROW][C]0.37[/C][C]62.4583177725187[/C][C]9.96725868618644[/C][/ROW]
[ROW][C]0.38[/C][C]64.8582832659873[/C][C]10.1660628389368[/C][/ROW]
[ROW][C]0.39[/C][C]67.2898241486269[/C][C]10.2901262652104[/C][/ROW]
[ROW][C]0.4[/C][C]69.7379455095747[/C][C]10.3638298556173[/C][/ROW]
[ROW][C]0.41[/C][C]72.1931242417008[/C][C]10.4107199004708[/C][/ROW]
[ROW][C]0.42[/C][C]74.6508431004585[/C][C]10.4489152261370[/C][/ROW]
[ROW][C]0.43[/C][C]77.11054737461[/C][C]10.4906389160550[/C][/ROW]
[ROW][C]0.44[/C][C]79.5745673005257[/C][C]10.5440952238165[/C][/ROW]
[ROW][C]0.45[/C][C]82.0473661593179[/C][C]10.6154440819235[/C][/ROW]
[ROW][C]0.46[/C][C]84.5352164410295[/C][C]10.7121240927265[/C][/ROW]
[ROW][C]0.47[/C][C]87.0461872484106[/C][C]10.8427700780781[/C][/ROW]
[ROW][C]0.48[/C][C]89.5902175732091[/C][C]11.0162785082319[/C][/ROW]
[ROW][C]0.49[/C][C]92.179061545544[/C][C]11.2410257952125[/C][/ROW]
[ROW][C]0.5[/C][C]94.8259764696[/C][C]11.5225901957908[/C][/ROW]
[ROW][C]0.51[/C][C]97.5451131156277[/C][C]11.8625828422192[/C][/ROW]
[ROW][C]0.52[/C][C]100.350612704424[/C][C]12.2586437586236[/C][/ROW]
[ROW][C]0.53[/C][C]103.255420151911[/C][C]12.7026110518609[/C][/ROW]
[ROW][C]0.54[/C][C]106.269838297732[/C][C]13.1806753730940[/C][/ROW]
[ROW][C]0.55[/C][C]109.399927183463[/C][C]13.6710079205592[/C][/ROW]
[ROW][C]0.56[/C][C]112.646001689537[/C][C]14.1444585847755[/C][/ROW]
[ROW][C]0.57[/C][C]116.001632031428[/C][C]14.5679143348946[/C][/ROW]
[ROW][C]0.58[/C][C]119.453590944628[/C][C]14.9095739820035[/C][/ROW]
[ROW][C]0.59[/C][C]122.983030594034[/C][C]15.1462316858032[/C][/ROW]
[ROW][C]0.6[/C][C]126.567820098549[/C][C]15.2689449203561[/C][/ROW]
[ROW][C]0.61[/C][C]130.185557516722[/C][C]15.2846080365860[/C][/ROW]
[ROW][C]0.62[/C][C]133.816479445541[/C][C]15.2142519904295[/C][/ROW]
[ROW][C]0.63[/C][C]137.445481419592[/C][C]15.0852961723253[/C][/ROW]
[ROW][C]0.64[/C][C]141.062759748812[/C][C]14.9238250478538[/C][/ROW]
[ROW][C]0.65[/C][C]144.663066460785[/C][C]14.7478167759796[/C][/ROW]
[ROW][C]0.66[/C][C]148.244021292004[/C][C]14.5648068349235[/C][/ROW]
[ROW][C]0.67[/C][C]151.804158865223[/C][C]14.3729126024576[/C][/ROW]
[ROW][C]0.68[/C][C]155.341334250366[/C][C]14.1648191420653[/C][/ROW]
[ROW][C]0.69[/C][C]158.851838239860[/C][C]13.9319182589148[/C][/ROW]
[ROW][C]0.7[/C][C]162.330245405639[/C][C]13.6683014077816[/C][/ROW]
[ROW][C]0.71[/C][C]165.769786035450[/C][C]13.3703204001759[/C][/ROW]
[ROW][C]0.72[/C][C]169.162965217366[/C][C]13.0371949544891[/C][/ROW]
[ROW][C]0.73[/C][C]172.502217539408[/C][C]12.6711109069590[/C][/ROW]
[ROW][C]0.74[/C][C]175.780502462373[/C][C]12.2756186851892[/C][/ROW]
[ROW][C]0.75[/C][C]178.991847683111[/C][C]11.8568689568397[/C][/ROW]
[ROW][C]0.76[/C][C]182.131913131011[/C][C]11.4218126628493[/C][/ROW]
[ROW][C]0.77[/C][C]185.198665815068[/C][C]10.9803030386821[/C][/ROW]
[ROW][C]0.78[/C][C]188.193186456842[/C][C]10.5434408988135[/C][/ROW]
[ROW][C]0.79[/C][C]191.120439713831[/C][C]10.1256000874305[/C][/ROW]
[ROW][C]0.8[/C][C]193.989624783148[/C][C]9.74164791122706[/C][/ROW]
[ROW][C]0.81[/C][C]196.813772738606[/C][C]9.40423623328882[/C][/ROW]
[ROW][C]0.82[/C][C]199.608874612191[/C][C]9.11969178185216[/C][/ROW]
[ROW][C]0.83[/C][C]202.393881469383[/C][C]8.88771834630957[/C][/ROW]
[ROW][C]0.84[/C][C]205.193519905632[/C][C]8.71450349352832[/C][/ROW]
[ROW][C]0.85[/C][C]208.044691723907[/C][C]8.63161978996911[/C][/ROW]
[ROW][C]0.86[/C][C]211.003722112897[/C][C]8.70257649093194[/C][/ROW]
[ROW][C]0.87[/C][C]214.147471964335[/C][C]8.99481914931418[/C][/ROW]
[ROW][C]0.88[/C][C]217.560166513425[/C][C]9.51354358837648[/C][/ROW]
[ROW][C]0.89[/C][C]221.303368498897[/C][C]10.1401832190913[/C][/ROW]
[ROW][C]0.9[/C][C]225.378012738906[/C][C]10.6383875997951[/C][/ROW]
[ROW][C]0.91[/C][C]229.697442018223[/C][C]10.7421565063641[/C][/ROW]
[ROW][C]0.92[/C][C]234.090613121629[/C][C]10.2749455630707[/C][/ROW]
[ROW][C]0.93[/C][C]238.346803036708[/C][C]9.23051623395792[/C][/ROW]
[ROW][C]0.94[/C][C]242.310317679250[/C][C]7.80979746262007[/C][/ROW]
[ROW][C]0.95[/C][C]246.044022506189[/C][C]6.48724897250986[/C][/ROW]
[ROW][C]0.96[/C][C]250.088044964081[/C][C]6.16032354018669[/C][/ROW]
[ROW][C]0.97[/C][C]255.753462697107[/C][C]8.05103346971074[/C][/ROW]
[ROW][C]0.98[/C][C]264.934856658072[/C][C]11.978944462600[/C][/ROW]
[ROW][C]0.99[/C][C]277.871112510542[/C][C]14.2981637235321[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79322&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79322&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
0.0115.19595598316660.414536125858450
0.0215.62535384333710.62860737436635
0.0316.14490524063780.790276789088495
0.0416.71827727034631.05766908920643
0.0517.36549760078461.30610612332480
0.0618.08206444361371.51901614417452
0.0718.85919929793311.76894448607345
0.0819.70816260804872.10164768615334
0.0920.65169407723642.50419271234048
0.121.70504036585072.92800073135328
0.1122.86448209609823.31172968787053
0.1224.10569485337883.597270646231
0.1325.38933869995483.74660597458207
0.1426.67152629631913.75784433883045
0.1527.91633115590193.67271222774349
0.1629.10621616128863.56710256408166
0.1730.24636839387543.5256271865956
0.1831.36128139624553.60777117631792
0.1932.48530475125123.82429272877962
0.233.6512566870974.13986045204726
0.2134.88138688504734.49617587773187
0.2236.18329331037054.83640269030138
0.2337.55108407683065.12061078806191
0.2438.97031656515805.33351093699562
0.2540.42454159504025.48419679709471
0.2641.90145861516805.60243731355335
0.2743.39728927316365.73088190518061
0.2844.91862886283025.91511632297879
0.2946.48160004294566.19217885090146
0.348.10863456154626.57987215166813
0.3149.82367479706067.0704716317847
0.3251.64695168834387.63277670067638
0.3353.59061999214118.22009658164947
0.3455.65630883822178.7817596903999
0.3557.8350989568279.27524797552721
0.3660.10973987930319.67317972094064
0.3762.45831777251879.96725868618644
0.3864.858283265987310.1660628389368
0.3967.289824148626910.2901262652104
0.469.737945509574710.3638298556173
0.4172.193124241700810.4107199004708
0.4274.650843100458510.4489152261370
0.4377.1105473746110.4906389160550
0.4479.574567300525710.5440952238165
0.4582.047366159317910.6154440819235
0.4684.535216441029510.7121240927265
0.4787.046187248410610.8427700780781
0.4889.590217573209111.0162785082319
0.4992.17906154554411.2410257952125
0.594.825976469611.5225901957908
0.5197.545113115627711.8625828422192
0.52100.35061270442412.2586437586236
0.53103.25542015191112.7026110518609
0.54106.26983829773213.1806753730940
0.55109.39992718346313.6710079205592
0.56112.64600168953714.1444585847755
0.57116.00163203142814.5679143348946
0.58119.45359094462814.9095739820035
0.59122.98303059403415.1462316858032
0.6126.56782009854915.2689449203561
0.61130.18555751672215.2846080365860
0.62133.81647944554115.2142519904295
0.63137.44548141959215.0852961723253
0.64141.06275974881214.9238250478538
0.65144.66306646078514.7478167759796
0.66148.24402129200414.5648068349235
0.67151.80415886522314.3729126024576
0.68155.34133425036614.1648191420653
0.69158.85183823986013.9319182589148
0.7162.33024540563913.6683014077816
0.71165.76978603545013.3703204001759
0.72169.16296521736613.0371949544891
0.73172.50221753940812.6711109069590
0.74175.78050246237312.2756186851892
0.75178.99184768311111.8568689568397
0.76182.13191313101111.4218126628493
0.77185.19866581506810.9803030386821
0.78188.19318645684210.5434408988135
0.79191.12043971383110.1256000874305
0.8193.9896247831489.74164791122706
0.81196.8137727386069.40423623328882
0.82199.6088746121919.11969178185216
0.83202.3938814693838.88771834630957
0.84205.1935199056328.71450349352832
0.85208.0446917239078.63161978996911
0.86211.0037221128978.70257649093194
0.87214.1474719643358.99481914931418
0.88217.5601665134259.51354358837648
0.89221.30336849889710.1401832190913
0.9225.37801273890610.6383875997951
0.91229.69744201822310.7421565063641
0.92234.09061312162910.2749455630707
0.93238.3468030367089.23051623395792
0.94242.3103176792507.80979746262007
0.95246.0440225061896.48724897250986
0.96250.0880449640816.16032354018669
0.97255.7534626971078.05103346971074
0.98264.93485665807211.978944462600
0.99277.87111251054214.2981637235321


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')