Free Statistics

of Irreproducible Research!

Author's title

Q9: Compute a confidence interval for the random component of the model in ...

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 13:57:57 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/27/t1225137503ftyb52wezbed2n5.htm/, Retrieved Sun, 19 May 2024 13:34:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19532, Retrieved Sun, 19 May 2024 13:34:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact162
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F    D  [Harrell-Davis Quantiles] [Q9 Compute a conf...] [2008-10-24 11:54:48] [1e1d8320a8a1170c475bf6e4ce119de6]
-   PD      [Harrell-Davis Quantiles] [Q9: Compute a con...] [2008-10-27 19:57:57] [5d823194959040fa9b19b8c8302177e6] [Current]
Feedback Forum

Post a new message
Dataseries X:
0.235959125
0.22267528
0.226566648
0.224108357
0.221293642
0.229368512
0.221911915
0.199303399
0.225174565
0.223661518
0.207738845
0.240995181
0.23223163
0.223605127
0.235570911
0.216018024
0.213804114
0.223913472
0.218488755
0.216065976
0.223311578
0.217826524
0.211307943
0.232344276
0.232242592
0.226725049
0.232183695
0.222278627
0.230992666
0.217968767
0.220454166
0.204800094
0.214035843
0.226786456
0.226908584
0.250578899
0.24250205
0.225600507
0.228506081
0.227468159
0.221578997
0.210562715
0.223394976
0.20187749
0.208504111
0.214003964
0.218668502
0.223369112
0.217737707
0.215527754
0.215411922
0.222442251
0.212942929
0.21682768
0.221494528
0.197761255
0.217225268
0.219507616
0.22664709
0.233467864




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19532&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19532&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19532&T=0

As an alternative you can also use a 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'George Udny Yule' @ 72.249.76.132







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.1982910722765490.00178931813876767
0.020.1992270037650000.00232657723814738
0.030.2004334737948730.00289996106677523
0.040.2017779966319770.00332099125370043
0.050.2031605615827340.00353616912142687
0.060.2045115824127620.00357124889874869
0.070.2057862111257020.00348059072902493
0.080.2069600870857870.00332057904590831
0.090.2080248371142320.00313375387915586
0.10.2089828170760360.00294447705906798
0.110.2098420740970370.00276135004589619
0.120.210612566493190.00258398731863520
0.130.2113040145953670.00241053503758758
0.140.2119251314973360.00224092731845182
0.150.2124836880620090.0020779847945592
0.160.2129868767657590.00192648225999770
0.170.2134416166451590.00179154893754343
0.180.2138546523290670.00167599873718984
0.190.2142324597733070.00158121588239659
0.20.2145810511022390.00150581945426801
0.210.214905781313790.00144698448176749
0.220.2152112286074310.00140153660857912
0.230.2155011763418540.00136648628457042
0.240.2157786878391400.00133951180061239
0.250.2160462439684780.00131928292483568
0.260.2163059073354110.00130512932372461
0.270.2165594809584080.00129697044230004
0.280.2168086377712380.00129547989862011
0.290.2170550060982060.00130151026875826
0.30.2173002037783050.00131548257202161
0.310.2175458200314670.00133822263179376
0.320.2177933502549950.00136906273910616
0.330.2180440950962790.00140724297005634
0.340.2182990408865650.00145014583143505
0.350.2185587426412850.00149451104236936
0.360.2188232319736900.00153678794730602
0.370.2190919695423830.00157268106671942
0.380.2193638550891220.00159835459704048
0.390.2196372987693030.00161150976638916
0.40.2199103471600660.00160994885280641
0.410.2201808481776990.00159257223338212
0.420.2204466330291940.00156064762840065
0.430.2207056914406610.00151589643113515
0.440.2209563189657840.00146086376162993
0.450.2211972214319020.0013985708048376
0.460.2214275700350760.00133259556879165
0.470.2216470093843810.00126588226214946
0.480.2218556281135750.00120111132794543
0.490.2220539061574390.00114012309822159
0.50.2222426537546910.00108502876009043
0.510.2224229547927040.00103667209030510
0.520.2225961220564470.000996349699298094
0.530.2227636655841490.000964681780535272
0.540.2229272691757540.000942762280953034
0.550.2230887655715780.00093169574567205
0.560.2232500989943480.00093278112414612
0.570.2234132651684410.000946324926306704
0.580.2235802235037270.00097232243421628
0.590.2237527831353970.00100917143133285
0.60.2239324726885710.00105499049962757
0.610.2241204113749960.00110634582316133
0.620.2243172046075150.00115905557652234
0.630.2245228891942220.00120939195847732
0.640.2247369502815710.00125303765752656
0.650.2249584242219440.00128693229268946
0.660.2251860890182460.00130950298177517
0.670.2254187284576880.00132096586399529
0.680.2256554398081170.00132339587061131
0.690.2258959408421450.00132166675885244
0.70.2261408228897450.00132155562645646
0.710.2263916951132040.00133069313761946
0.720.2266511729158390.00135593311515317
0.730.2269226808189030.00140287934665564
0.740.2272100663780510.00147346341118766
0.750.2275170544476090.00156574203733427
0.760.2278466066313980.00167306172514011
0.770.2282002840464720.00178524747100350
0.780.2285777363206570.00188993038106189
0.790.2289764489143810.00197403734042822
0.80.2293918672457010.00202596338303438
0.810.2298179742643510.00203761945295604
0.820.2302483271481680.00200691343063458
0.830.230677465776010.00193843407224631
0.840.2311025084610700.0018451282540773
0.850.2315246772756920.00174781462215665
0.860.2319504774101640.00167287141398149
0.870.2323923110412100.00164862991090705
0.880.2328684225954910.00169798724387640
0.890.2334021968078780.00183194128492692
0.90.2340209093589110.00204908975504881
0.910.2347541076332620.00233878424512654
0.920.2356321335387130.00268274723240786
0.930.2366862392974040.00304990893560694
0.940.2379529101592230.00339647102389189
0.950.2394835528617690.00369060264207661
0.960.2413503781351150.00398304147527493
0.970.2436163214540530.00448643401436198
0.980.2462206684346570.00546196360374388
0.990.2487894479106790.00681621608140263

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.198291072276549 & 0.00178931813876767 \tabularnewline
0.02 & 0.199227003765000 & 0.00232657723814738 \tabularnewline
0.03 & 0.200433473794873 & 0.00289996106677523 \tabularnewline
0.04 & 0.201777996631977 & 0.00332099125370043 \tabularnewline
0.05 & 0.203160561582734 & 0.00353616912142687 \tabularnewline
0.06 & 0.204511582412762 & 0.00357124889874869 \tabularnewline
0.07 & 0.205786211125702 & 0.00348059072902493 \tabularnewline
0.08 & 0.206960087085787 & 0.00332057904590831 \tabularnewline
0.09 & 0.208024837114232 & 0.00313375387915586 \tabularnewline
0.1 & 0.208982817076036 & 0.00294447705906798 \tabularnewline
0.11 & 0.209842074097037 & 0.00276135004589619 \tabularnewline
0.12 & 0.21061256649319 & 0.00258398731863520 \tabularnewline
0.13 & 0.211304014595367 & 0.00241053503758758 \tabularnewline
0.14 & 0.211925131497336 & 0.00224092731845182 \tabularnewline
0.15 & 0.212483688062009 & 0.0020779847945592 \tabularnewline
0.16 & 0.212986876765759 & 0.00192648225999770 \tabularnewline
0.17 & 0.213441616645159 & 0.00179154893754343 \tabularnewline
0.18 & 0.213854652329067 & 0.00167599873718984 \tabularnewline
0.19 & 0.214232459773307 & 0.00158121588239659 \tabularnewline
0.2 & 0.214581051102239 & 0.00150581945426801 \tabularnewline
0.21 & 0.21490578131379 & 0.00144698448176749 \tabularnewline
0.22 & 0.215211228607431 & 0.00140153660857912 \tabularnewline
0.23 & 0.215501176341854 & 0.00136648628457042 \tabularnewline
0.24 & 0.215778687839140 & 0.00133951180061239 \tabularnewline
0.25 & 0.216046243968478 & 0.00131928292483568 \tabularnewline
0.26 & 0.216305907335411 & 0.00130512932372461 \tabularnewline
0.27 & 0.216559480958408 & 0.00129697044230004 \tabularnewline
0.28 & 0.216808637771238 & 0.00129547989862011 \tabularnewline
0.29 & 0.217055006098206 & 0.00130151026875826 \tabularnewline
0.3 & 0.217300203778305 & 0.00131548257202161 \tabularnewline
0.31 & 0.217545820031467 & 0.00133822263179376 \tabularnewline
0.32 & 0.217793350254995 & 0.00136906273910616 \tabularnewline
0.33 & 0.218044095096279 & 0.00140724297005634 \tabularnewline
0.34 & 0.218299040886565 & 0.00145014583143505 \tabularnewline
0.35 & 0.218558742641285 & 0.00149451104236936 \tabularnewline
0.36 & 0.218823231973690 & 0.00153678794730602 \tabularnewline
0.37 & 0.219091969542383 & 0.00157268106671942 \tabularnewline
0.38 & 0.219363855089122 & 0.00159835459704048 \tabularnewline
0.39 & 0.219637298769303 & 0.00161150976638916 \tabularnewline
0.4 & 0.219910347160066 & 0.00160994885280641 \tabularnewline
0.41 & 0.220180848177699 & 0.00159257223338212 \tabularnewline
0.42 & 0.220446633029194 & 0.00156064762840065 \tabularnewline
0.43 & 0.220705691440661 & 0.00151589643113515 \tabularnewline
0.44 & 0.220956318965784 & 0.00146086376162993 \tabularnewline
0.45 & 0.221197221431902 & 0.0013985708048376 \tabularnewline
0.46 & 0.221427570035076 & 0.00133259556879165 \tabularnewline
0.47 & 0.221647009384381 & 0.00126588226214946 \tabularnewline
0.48 & 0.221855628113575 & 0.00120111132794543 \tabularnewline
0.49 & 0.222053906157439 & 0.00114012309822159 \tabularnewline
0.5 & 0.222242653754691 & 0.00108502876009043 \tabularnewline
0.51 & 0.222422954792704 & 0.00103667209030510 \tabularnewline
0.52 & 0.222596122056447 & 0.000996349699298094 \tabularnewline
0.53 & 0.222763665584149 & 0.000964681780535272 \tabularnewline
0.54 & 0.222927269175754 & 0.000942762280953034 \tabularnewline
0.55 & 0.223088765571578 & 0.00093169574567205 \tabularnewline
0.56 & 0.223250098994348 & 0.00093278112414612 \tabularnewline
0.57 & 0.223413265168441 & 0.000946324926306704 \tabularnewline
0.58 & 0.223580223503727 & 0.00097232243421628 \tabularnewline
0.59 & 0.223752783135397 & 0.00100917143133285 \tabularnewline
0.6 & 0.223932472688571 & 0.00105499049962757 \tabularnewline
0.61 & 0.224120411374996 & 0.00110634582316133 \tabularnewline
0.62 & 0.224317204607515 & 0.00115905557652234 \tabularnewline
0.63 & 0.224522889194222 & 0.00120939195847732 \tabularnewline
0.64 & 0.224736950281571 & 0.00125303765752656 \tabularnewline
0.65 & 0.224958424221944 & 0.00128693229268946 \tabularnewline
0.66 & 0.225186089018246 & 0.00130950298177517 \tabularnewline
0.67 & 0.225418728457688 & 0.00132096586399529 \tabularnewline
0.68 & 0.225655439808117 & 0.00132339587061131 \tabularnewline
0.69 & 0.225895940842145 & 0.00132166675885244 \tabularnewline
0.7 & 0.226140822889745 & 0.00132155562645646 \tabularnewline
0.71 & 0.226391695113204 & 0.00133069313761946 \tabularnewline
0.72 & 0.226651172915839 & 0.00135593311515317 \tabularnewline
0.73 & 0.226922680818903 & 0.00140287934665564 \tabularnewline
0.74 & 0.227210066378051 & 0.00147346341118766 \tabularnewline
0.75 & 0.227517054447609 & 0.00156574203733427 \tabularnewline
0.76 & 0.227846606631398 & 0.00167306172514011 \tabularnewline
0.77 & 0.228200284046472 & 0.00178524747100350 \tabularnewline
0.78 & 0.228577736320657 & 0.00188993038106189 \tabularnewline
0.79 & 0.228976448914381 & 0.00197403734042822 \tabularnewline
0.8 & 0.229391867245701 & 0.00202596338303438 \tabularnewline
0.81 & 0.229817974264351 & 0.00203761945295604 \tabularnewline
0.82 & 0.230248327148168 & 0.00200691343063458 \tabularnewline
0.83 & 0.23067746577601 & 0.00193843407224631 \tabularnewline
0.84 & 0.231102508461070 & 0.0018451282540773 \tabularnewline
0.85 & 0.231524677275692 & 0.00174781462215665 \tabularnewline
0.86 & 0.231950477410164 & 0.00167287141398149 \tabularnewline
0.87 & 0.232392311041210 & 0.00164862991090705 \tabularnewline
0.88 & 0.232868422595491 & 0.00169798724387640 \tabularnewline
0.89 & 0.233402196807878 & 0.00183194128492692 \tabularnewline
0.9 & 0.234020909358911 & 0.00204908975504881 \tabularnewline
0.91 & 0.234754107633262 & 0.00233878424512654 \tabularnewline
0.92 & 0.235632133538713 & 0.00268274723240786 \tabularnewline
0.93 & 0.236686239297404 & 0.00304990893560694 \tabularnewline
0.94 & 0.237952910159223 & 0.00339647102389189 \tabularnewline
0.95 & 0.239483552861769 & 0.00369060264207661 \tabularnewline
0.96 & 0.241350378135115 & 0.00398304147527493 \tabularnewline
0.97 & 0.243616321454053 & 0.00448643401436198 \tabularnewline
0.98 & 0.246220668434657 & 0.00546196360374388 \tabularnewline
0.99 & 0.248789447910679 & 0.00681621608140263 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19532&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]0.198291072276549[/C][C]0.00178931813876767[/C][/ROW]
[ROW][C]0.02[/C][C]0.199227003765000[/C][C]0.00232657723814738[/C][/ROW]
[ROW][C]0.03[/C][C]0.200433473794873[/C][C]0.00289996106677523[/C][/ROW]
[ROW][C]0.04[/C][C]0.201777996631977[/C][C]0.00332099125370043[/C][/ROW]
[ROW][C]0.05[/C][C]0.203160561582734[/C][C]0.00353616912142687[/C][/ROW]
[ROW][C]0.06[/C][C]0.204511582412762[/C][C]0.00357124889874869[/C][/ROW]
[ROW][C]0.07[/C][C]0.205786211125702[/C][C]0.00348059072902493[/C][/ROW]
[ROW][C]0.08[/C][C]0.206960087085787[/C][C]0.00332057904590831[/C][/ROW]
[ROW][C]0.09[/C][C]0.208024837114232[/C][C]0.00313375387915586[/C][/ROW]
[ROW][C]0.1[/C][C]0.208982817076036[/C][C]0.00294447705906798[/C][/ROW]
[ROW][C]0.11[/C][C]0.209842074097037[/C][C]0.00276135004589619[/C][/ROW]
[ROW][C]0.12[/C][C]0.21061256649319[/C][C]0.00258398731863520[/C][/ROW]
[ROW][C]0.13[/C][C]0.211304014595367[/C][C]0.00241053503758758[/C][/ROW]
[ROW][C]0.14[/C][C]0.211925131497336[/C][C]0.00224092731845182[/C][/ROW]
[ROW][C]0.15[/C][C]0.212483688062009[/C][C]0.0020779847945592[/C][/ROW]
[ROW][C]0.16[/C][C]0.212986876765759[/C][C]0.00192648225999770[/C][/ROW]
[ROW][C]0.17[/C][C]0.213441616645159[/C][C]0.00179154893754343[/C][/ROW]
[ROW][C]0.18[/C][C]0.213854652329067[/C][C]0.00167599873718984[/C][/ROW]
[ROW][C]0.19[/C][C]0.214232459773307[/C][C]0.00158121588239659[/C][/ROW]
[ROW][C]0.2[/C][C]0.214581051102239[/C][C]0.00150581945426801[/C][/ROW]
[ROW][C]0.21[/C][C]0.21490578131379[/C][C]0.00144698448176749[/C][/ROW]
[ROW][C]0.22[/C][C]0.215211228607431[/C][C]0.00140153660857912[/C][/ROW]
[ROW][C]0.23[/C][C]0.215501176341854[/C][C]0.00136648628457042[/C][/ROW]
[ROW][C]0.24[/C][C]0.215778687839140[/C][C]0.00133951180061239[/C][/ROW]
[ROW][C]0.25[/C][C]0.216046243968478[/C][C]0.00131928292483568[/C][/ROW]
[ROW][C]0.26[/C][C]0.216305907335411[/C][C]0.00130512932372461[/C][/ROW]
[ROW][C]0.27[/C][C]0.216559480958408[/C][C]0.00129697044230004[/C][/ROW]
[ROW][C]0.28[/C][C]0.216808637771238[/C][C]0.00129547989862011[/C][/ROW]
[ROW][C]0.29[/C][C]0.217055006098206[/C][C]0.00130151026875826[/C][/ROW]
[ROW][C]0.3[/C][C]0.217300203778305[/C][C]0.00131548257202161[/C][/ROW]
[ROW][C]0.31[/C][C]0.217545820031467[/C][C]0.00133822263179376[/C][/ROW]
[ROW][C]0.32[/C][C]0.217793350254995[/C][C]0.00136906273910616[/C][/ROW]
[ROW][C]0.33[/C][C]0.218044095096279[/C][C]0.00140724297005634[/C][/ROW]
[ROW][C]0.34[/C][C]0.218299040886565[/C][C]0.00145014583143505[/C][/ROW]
[ROW][C]0.35[/C][C]0.218558742641285[/C][C]0.00149451104236936[/C][/ROW]
[ROW][C]0.36[/C][C]0.218823231973690[/C][C]0.00153678794730602[/C][/ROW]
[ROW][C]0.37[/C][C]0.219091969542383[/C][C]0.00157268106671942[/C][/ROW]
[ROW][C]0.38[/C][C]0.219363855089122[/C][C]0.00159835459704048[/C][/ROW]
[ROW][C]0.39[/C][C]0.219637298769303[/C][C]0.00161150976638916[/C][/ROW]
[ROW][C]0.4[/C][C]0.219910347160066[/C][C]0.00160994885280641[/C][/ROW]
[ROW][C]0.41[/C][C]0.220180848177699[/C][C]0.00159257223338212[/C][/ROW]
[ROW][C]0.42[/C][C]0.220446633029194[/C][C]0.00156064762840065[/C][/ROW]
[ROW][C]0.43[/C][C]0.220705691440661[/C][C]0.00151589643113515[/C][/ROW]
[ROW][C]0.44[/C][C]0.220956318965784[/C][C]0.00146086376162993[/C][/ROW]
[ROW][C]0.45[/C][C]0.221197221431902[/C][C]0.0013985708048376[/C][/ROW]
[ROW][C]0.46[/C][C]0.221427570035076[/C][C]0.00133259556879165[/C][/ROW]
[ROW][C]0.47[/C][C]0.221647009384381[/C][C]0.00126588226214946[/C][/ROW]
[ROW][C]0.48[/C][C]0.221855628113575[/C][C]0.00120111132794543[/C][/ROW]
[ROW][C]0.49[/C][C]0.222053906157439[/C][C]0.00114012309822159[/C][/ROW]
[ROW][C]0.5[/C][C]0.222242653754691[/C][C]0.00108502876009043[/C][/ROW]
[ROW][C]0.51[/C][C]0.222422954792704[/C][C]0.00103667209030510[/C][/ROW]
[ROW][C]0.52[/C][C]0.222596122056447[/C][C]0.000996349699298094[/C][/ROW]
[ROW][C]0.53[/C][C]0.222763665584149[/C][C]0.000964681780535272[/C][/ROW]
[ROW][C]0.54[/C][C]0.222927269175754[/C][C]0.000942762280953034[/C][/ROW]
[ROW][C]0.55[/C][C]0.223088765571578[/C][C]0.00093169574567205[/C][/ROW]
[ROW][C]0.56[/C][C]0.223250098994348[/C][C]0.00093278112414612[/C][/ROW]
[ROW][C]0.57[/C][C]0.223413265168441[/C][C]0.000946324926306704[/C][/ROW]
[ROW][C]0.58[/C][C]0.223580223503727[/C][C]0.00097232243421628[/C][/ROW]
[ROW][C]0.59[/C][C]0.223752783135397[/C][C]0.00100917143133285[/C][/ROW]
[ROW][C]0.6[/C][C]0.223932472688571[/C][C]0.00105499049962757[/C][/ROW]
[ROW][C]0.61[/C][C]0.224120411374996[/C][C]0.00110634582316133[/C][/ROW]
[ROW][C]0.62[/C][C]0.224317204607515[/C][C]0.00115905557652234[/C][/ROW]
[ROW][C]0.63[/C][C]0.224522889194222[/C][C]0.00120939195847732[/C][/ROW]
[ROW][C]0.64[/C][C]0.224736950281571[/C][C]0.00125303765752656[/C][/ROW]
[ROW][C]0.65[/C][C]0.224958424221944[/C][C]0.00128693229268946[/C][/ROW]
[ROW][C]0.66[/C][C]0.225186089018246[/C][C]0.00130950298177517[/C][/ROW]
[ROW][C]0.67[/C][C]0.225418728457688[/C][C]0.00132096586399529[/C][/ROW]
[ROW][C]0.68[/C][C]0.225655439808117[/C][C]0.00132339587061131[/C][/ROW]
[ROW][C]0.69[/C][C]0.225895940842145[/C][C]0.00132166675885244[/C][/ROW]
[ROW][C]0.7[/C][C]0.226140822889745[/C][C]0.00132155562645646[/C][/ROW]
[ROW][C]0.71[/C][C]0.226391695113204[/C][C]0.00133069313761946[/C][/ROW]
[ROW][C]0.72[/C][C]0.226651172915839[/C][C]0.00135593311515317[/C][/ROW]
[ROW][C]0.73[/C][C]0.226922680818903[/C][C]0.00140287934665564[/C][/ROW]
[ROW][C]0.74[/C][C]0.227210066378051[/C][C]0.00147346341118766[/C][/ROW]
[ROW][C]0.75[/C][C]0.227517054447609[/C][C]0.00156574203733427[/C][/ROW]
[ROW][C]0.76[/C][C]0.227846606631398[/C][C]0.00167306172514011[/C][/ROW]
[ROW][C]0.77[/C][C]0.228200284046472[/C][C]0.00178524747100350[/C][/ROW]
[ROW][C]0.78[/C][C]0.228577736320657[/C][C]0.00188993038106189[/C][/ROW]
[ROW][C]0.79[/C][C]0.228976448914381[/C][C]0.00197403734042822[/C][/ROW]
[ROW][C]0.8[/C][C]0.229391867245701[/C][C]0.00202596338303438[/C][/ROW]
[ROW][C]0.81[/C][C]0.229817974264351[/C][C]0.00203761945295604[/C][/ROW]
[ROW][C]0.82[/C][C]0.230248327148168[/C][C]0.00200691343063458[/C][/ROW]
[ROW][C]0.83[/C][C]0.23067746577601[/C][C]0.00193843407224631[/C][/ROW]
[ROW][C]0.84[/C][C]0.231102508461070[/C][C]0.0018451282540773[/C][/ROW]
[ROW][C]0.85[/C][C]0.231524677275692[/C][C]0.00174781462215665[/C][/ROW]
[ROW][C]0.86[/C][C]0.231950477410164[/C][C]0.00167287141398149[/C][/ROW]
[ROW][C]0.87[/C][C]0.232392311041210[/C][C]0.00164862991090705[/C][/ROW]
[ROW][C]0.88[/C][C]0.232868422595491[/C][C]0.00169798724387640[/C][/ROW]
[ROW][C]0.89[/C][C]0.233402196807878[/C][C]0.00183194128492692[/C][/ROW]
[ROW][C]0.9[/C][C]0.234020909358911[/C][C]0.00204908975504881[/C][/ROW]
[ROW][C]0.91[/C][C]0.234754107633262[/C][C]0.00233878424512654[/C][/ROW]
[ROW][C]0.92[/C][C]0.235632133538713[/C][C]0.00268274723240786[/C][/ROW]
[ROW][C]0.93[/C][C]0.236686239297404[/C][C]0.00304990893560694[/C][/ROW]
[ROW][C]0.94[/C][C]0.237952910159223[/C][C]0.00339647102389189[/C][/ROW]
[ROW][C]0.95[/C][C]0.239483552861769[/C][C]0.00369060264207661[/C][/ROW]
[ROW][C]0.96[/C][C]0.241350378135115[/C][C]0.00398304147527493[/C][/ROW]
[ROW][C]0.97[/C][C]0.243616321454053[/C][C]0.00448643401436198[/C][/ROW]
[ROW][C]0.98[/C][C]0.246220668434657[/C][C]0.00546196360374388[/C][/ROW]
[ROW][C]0.99[/C][C]0.248789447910679[/C][C]0.00681621608140263[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19532&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19532&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.1982910722765490.00178931813876767
0.020.1992270037650000.00232657723814738
0.030.2004334737948730.00289996106677523
0.040.2017779966319770.00332099125370043
0.050.2031605615827340.00353616912142687
0.060.2045115824127620.00357124889874869
0.070.2057862111257020.00348059072902493
0.080.2069600870857870.00332057904590831
0.090.2080248371142320.00313375387915586
0.10.2089828170760360.00294447705906798
0.110.2098420740970370.00276135004589619
0.120.210612566493190.00258398731863520
0.130.2113040145953670.00241053503758758
0.140.2119251314973360.00224092731845182
0.150.2124836880620090.0020779847945592
0.160.2129868767657590.00192648225999770
0.170.2134416166451590.00179154893754343
0.180.2138546523290670.00167599873718984
0.190.2142324597733070.00158121588239659
0.20.2145810511022390.00150581945426801
0.210.214905781313790.00144698448176749
0.220.2152112286074310.00140153660857912
0.230.2155011763418540.00136648628457042
0.240.2157786878391400.00133951180061239
0.250.2160462439684780.00131928292483568
0.260.2163059073354110.00130512932372461
0.270.2165594809584080.00129697044230004
0.280.2168086377712380.00129547989862011
0.290.2170550060982060.00130151026875826
0.30.2173002037783050.00131548257202161
0.310.2175458200314670.00133822263179376
0.320.2177933502549950.00136906273910616
0.330.2180440950962790.00140724297005634
0.340.2182990408865650.00145014583143505
0.350.2185587426412850.00149451104236936
0.360.2188232319736900.00153678794730602
0.370.2190919695423830.00157268106671942
0.380.2193638550891220.00159835459704048
0.390.2196372987693030.00161150976638916
0.40.2199103471600660.00160994885280641
0.410.2201808481776990.00159257223338212
0.420.2204466330291940.00156064762840065
0.430.2207056914406610.00151589643113515
0.440.2209563189657840.00146086376162993
0.450.2211972214319020.0013985708048376
0.460.2214275700350760.00133259556879165
0.470.2216470093843810.00126588226214946
0.480.2218556281135750.00120111132794543
0.490.2220539061574390.00114012309822159
0.50.2222426537546910.00108502876009043
0.510.2224229547927040.00103667209030510
0.520.2225961220564470.000996349699298094
0.530.2227636655841490.000964681780535272
0.540.2229272691757540.000942762280953034
0.550.2230887655715780.00093169574567205
0.560.2232500989943480.00093278112414612
0.570.2234132651684410.000946324926306704
0.580.2235802235037270.00097232243421628
0.590.2237527831353970.00100917143133285
0.60.2239324726885710.00105499049962757
0.610.2241204113749960.00110634582316133
0.620.2243172046075150.00115905557652234
0.630.2245228891942220.00120939195847732
0.640.2247369502815710.00125303765752656
0.650.2249584242219440.00128693229268946
0.660.2251860890182460.00130950298177517
0.670.2254187284576880.00132096586399529
0.680.2256554398081170.00132339587061131
0.690.2258959408421450.00132166675885244
0.70.2261408228897450.00132155562645646
0.710.2263916951132040.00133069313761946
0.720.2266511729158390.00135593311515317
0.730.2269226808189030.00140287934665564
0.740.2272100663780510.00147346341118766
0.750.2275170544476090.00156574203733427
0.760.2278466066313980.00167306172514011
0.770.2282002840464720.00178524747100350
0.780.2285777363206570.00188993038106189
0.790.2289764489143810.00197403734042822
0.80.2293918672457010.00202596338303438
0.810.2298179742643510.00203761945295604
0.820.2302483271481680.00200691343063458
0.830.230677465776010.00193843407224631
0.840.2311025084610700.0018451282540773
0.850.2315246772756920.00174781462215665
0.860.2319504774101640.00167287141398149
0.870.2323923110412100.00164862991090705
0.880.2328684225954910.00169798724387640
0.890.2334021968078780.00183194128492692
0.90.2340209093589110.00204908975504881
0.910.2347541076332620.00233878424512654
0.920.2356321335387130.00268274723240786
0.930.2366862392974040.00304990893560694
0.940.2379529101592230.00339647102389189
0.950.2394835528617690.00369060264207661
0.960.2413503781351150.00398304147527493
0.970.2436163214540530.00448643401436198
0.980.2462206684346570.00546196360374388
0.990.2487894479106790.00681621608140263



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')