univariate analyse Roebels

*The author of this computation has been verified*

R Software Module: /rwasp_centraltendency.wasp (opens new window with default values)

Title produced by software: Central Tendency

Date of computation: Mon, 06 Dec 2010 20:55:30 +0000

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Dec/06/t12916690616ghlhv7l54tsw2m.htm/, Retrieved Mon, 06 Dec 2010 21:57:42 +0100

BibTeX entries for LaTeX users:

@Manual{KEY, author = {{YOUR NAME}}, publisher = {Office for Research Development and Education}, title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/Dec/06/t12916690616ghlhv7l54tsw2m.htm/}, year = {2010}, } @Manual{R, title = {R: A Language and Environment for Statistical Computing}, author = {{R Development Core Team}}, organization = {R Foundation for Statistical Computing}, address = {Vienna, Austria}, year = {2010}, note = {{ISBN} 3-900051-07-0}, url = {http://www.R-project.org}, }

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords:

Dataseries X:

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40,9545 41,1575 41,539 41,651 41,813 42,304 42,4125 42,463 42,391 42,3173 42,3215 42,1962 42,17 41,922 42,28 42,7017 42,815 43,31 43,43 43,1885 43,1555 42,8993 42,7523 42,55 42,3172 42,2875 42,4705 42,4507 43,0028 42,695 42,29 42,3575 42,565 42,3188 42,0055 41,68 41,575 41,593 41,5745 41,36 41,64 41,8045 41,8 41,6923 41,3725 41,15 41,2235 41,374 41,3557 41,456 40,7955 40,55 40,485 40,5875 40,1 39,557 39,3325 39,282 39,2763 39,2301 39,2537 39,4398 39,382 39,388 39,3572 39,1038 39,0046 39,07 39,089 39,029 38,9655 38,913 38,9199 39,0908 39,1614 39,1144 39,1325 39,1183 39,1906 39,3685 39,4723 39,64 39,35 39,301 39,3261 39,384 39,4305 39,4173 39,4514 39,297 39,355 39,185 39,143 39,1355 39,0437 39,2795 39,5095 39,4907 39,1644 38,849 38,691 38,7665 39,0275 39,14 39,1503 39,1015 39,0387 39,0801 38,581 38,282 38,13 38,2615 38,31 38,235 38,0524 38,0075 38,1375 38,384 38,214 38,35 38,48 38,431 38,091 etc...

Output produced by software:

Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 4 seconds R Server 'RServer@AstonUniversity' @ vre.aston.ac.uk Central Tendency - Ungrouped Data Measure Value S.E. Value/S.E. Arithmetic Mean 42.2608735234216 0.108218055794613 390.515919114538 Geometric Mean 42.191995378499 Harmonic Mean 42.1222044154264 Quadratic Mean 42.3287123981656 Winsorized Mean ( 1 / 163 ) 42.2606912423625 0.108194952126351 390.597624120301 Winsorized Mean ( 2 / 163 ) 42.2607727087576 0.108137336272207 390.80648891126 Winsorized Mean ( 3 / 163 ) 42.2607299389002 0.108121228188139 390.864316352042 Winsorized Mean ( 4 / 163 ) 42.260450509165 0.108082135375811 391.003104835243 Winsorized Mean ( 5 / 163 ) 42.2603038696538 0.108012179509197 391.254986814292 Winsorized Mean ( 6 / 163 ) 42.2575201629328 0.107770447709948 392.106751534189 Winsorized Mean ( 7 / 163 ) 42.258183095723 0.107539657253715 392.954414909697 Winsorized Mean ( 8 / 163 ) 42.2578490835031 0.107392601761178 393.489387448466 Winsorized Mean ( 9 / 163 ) 42.256250712831 0.107241289457664 394.029677622561 Winsorized Mean ( 10 / 163 ) 42.2561427698574 0.107159573809906 394.329141741616 Winsorized Mean ( 11 / 163 ) 42.2541488798371 0.107021485964592 394.819306599957 Winsorized Mean ( 12 / 163 ) 42.2538898167006 0.106930878697134 395.151431761618 Winsorized Mean ( 13 / 163 ) 42.2539057026477 0.106926859327399 395.166434031983 Winsorized Mean ( 14 / 163 ) 42.2537488798371 0.106895309299338 395.281599883062 Winsorized Mean ( 15 / 163 ) 42.2542285132383 0.106844591200378 395.473725328724 Winsorized Mean ( 16 / 163 ) 42.2536615071283 0.106763245673015 395.769735556177 Winsorized Mean ( 17 / 163 ) 42.2525951120163 0.106685090769102 396.049671115372 Winsorized Mean ( 18 / 163 ) 42.2519535641548 0.106493745045548 396.755260565615 Winsorized Mean ( 19 / 163 ) 42.2491248472505 0.106310095770265 397.414041828639 Winsorized Mean ( 20 / 163 ) 42.2503101832994 0.10615920016378 397.990095235426 Winsorized Mean ( 21 / 163 ) 42.2505411405295 0.106128082408363 398.108965899869 Winsorized Mean ( 22 / 163 ) 42.25323401222 0.105812218755986 399.32282404606 Winsorized Mean ( 23 / 163 ) 42.2535150712831 0.105691135574498 399.782960430964 Winsorized Mean ( 24 / 163 ) 42.2529871690428 0.105475867690529 400.59388080139 Winsorized Mean ( 25 / 163 ) 42.2537407331976 0.105377206887208 400.976093230718 Winsorized Mean ( 26 / 163 ) 42.253449490835 0.105310954041139 401.225588311822 Winsorized Mean ( 27 / 163 ) 42.2537794297352 0.105167092045728 401.777577070997 Winsorized Mean ( 28 / 163 ) 42.2549484725051 0.104924037414499 402.719429348474 Winsorized Mean ( 29 / 163 ) 42.2550075356415 0.104651512062768 403.768724433698 Winsorized Mean ( 30 / 163 ) 42.2549464358452 0.10464775096226 403.782652252928 Winsorized Mean ( 31 / 163 ) 42.2572509164969 0.104383981018921 404.82505556899 Winsorized Mean ( 32 / 163 ) 42.2584892057026 0.104291522103091 405.19582372123 Winsorized Mean ( 33 / 163 ) 42.2600820773931 0.10411566705408 405.895512876482 Winsorized Mean ( 34 / 163 ) 42.2616678207739 0.103978775697099 406.445137841269 Winsorized Mean ( 35 / 163 ) 42.2619458248472 0.10393806223856 406.607020706689 Winsorized Mean ( 36 / 163 ) 42.2626057026477 0.103691996245164 407.578282153274 Winsorized Mean ( 37 / 163 ) 42.2622741344196 0.10347970783204 408.411223995881 Winsorized Mean ( 38 / 163 ) 42.26346598778 0.103324555253261 409.036031020769 Winsorized Mean ( 39 / 163 ) 42.261917107943 0.10287204028023 410.820248075364 Winsorized Mean ( 40 / 163 ) 42.2673753564155 0.102383378262104 412.834349421545 Winsorized Mean ( 41 / 163 ) 42.2701894093686 0.101823990535268 415.129962862024 Winsorized Mean ( 42 / 163 ) 42.2688464358452 0.101646473463102 415.841740453384 Winsorized Mean ( 43 / 163 ) 42.2684085539715 0.101580863579122 416.106017065394 Winsorized Mean ( 44 / 163 ) 42.2682741344195 0.101457077820377 416.612374833551 Winsorized Mean ( 45 / 163 ) 42.2685949083503 0.10135772062138 417.023929200655 Winsorized Mean ( 46 / 163 ) 42.2710307535642 0.101133343805763 417.97323378084 Winsorized Mean ( 47 / 163 ) 42.2718922606925 0.100956747643127 418.712896834987 Winsorized Mean ( 48 / 163 ) 42.2696437881874 0.100700087374304 419.757766754166 Winsorized Mean ( 49 / 163 ) 42.2690949083503 0.100538393224824 420.427396465627 Winsorized Mean ( 50 / 163 ) 42.2690032586558 0.100404858888457 420.985634824843 Winsorized Mean ( 51 / 163 ) 42.2691902240326 0.100194295392001 421.87222394906 Winsorized Mean ( 52 / 163 ) 42.2699951120163 0.100078564361371 422.368120303812 Winsorized Mean ( 53 / 163 ) 42.2710205702648 0.099933125323793 422.993080955915 Winsorized Mean ( 54 / 163 ) 42.2690299389002 0.0997230137539583 423.864345327434 Winsorized Mean ( 55 / 163 ) 42.2690411405295 0.0996025037984078 424.377295033473 Winsorized Mean ( 56 / 163 ) 42.272633808554 0.0992787480608477 425.797410163202 Winsorized Mean ( 57 / 163 ) 42.2730981670061 0.099029549478575 426.873578538816 Winsorized Mean ( 58 / 163 ) 42.2744093686354 0.0988083187545123 427.84261387612 Winsorized Mean ( 59 / 163 ) 42.2737364562118 0.0984283480236086 429.487411960549 Winsorized Mean ( 60 / 163 ) 42.2731621181263 0.0983731617226907 429.722511484304 Winsorized Mean ( 61 / 163 ) 42.2728018329939 0.0982037691800925 430.460074862007 Winsorized Mean ( 62 / 163 ) 42.2704910386965 0.0979959936927795 431.349175061338 Winsorized Mean ( 63 / 163 ) 42.2694389002037 0.0979023389587506 431.751062842463 Winsorized Mean ( 64 / 163 ) 42.271133401222 0.0976108696156712 433.057645809924 Winsorized Mean ( 65 / 163 ) 42.2718350305499 0.0974860141229078 433.619482865047 Winsorized Mean ( 66 / 163 ) 42.2725474541752 0.0973791642810683 434.102590284742 Winsorized Mean ( 67 / 163 ) 42.2721926680244 0.0973293373681427 434.321180140498 Winsorized Mean ( 68 / 163 ) 42.2720264765784 0.0971389246315007 435.170830199516 Winsorized Mean ( 69 / 163 ) 42.2707054989817 0.0970262171377757 435.662718241998 Winsorized Mean ( 70 / 163 ) 42.2709478615071 0.0968554249726265 436.433456086263 Winsorized Mean ( 71 / 163 ) 42.2710346232179 0.0967915546052464 436.722344171613 Winsorized Mean ( 72 / 163 ) 42.2713132382892 0.096553741201669 437.800883862163 Winsorized Mean ( 73 / 163 ) 42.2709712830957 0.0964807476652244 438.128562495914 Winsorized Mean ( 74 / 163 ) 42.2681529531568 0.0962437820638193 439.178012820909 Winsorized Mean ( 75 / 163 ) 42.2673128309572 0.0961423605616408 439.632567622031 Winsorized Mean ( 76 / 163 ) 42.2659971486762 0.0960611730133718 439.990433416763 Winsorized Mean ( 77 / 163 ) 42.2659187372709 0.0959280716781988 440.60010795439 Winsorized Mean ( 78 / 163 ) 42.2638376782077 0.095602433175708 442.079100649362 Winsorized Mean ( 79 / 163 ) 42.2642399185336 0.0955661152421004 442.251312732179 Winsorized Mean ( 80 / 163 ) 42.2642073319756 0.0953722951536658 443.149735086889 Winsorized Mean ( 81 / 163 ) 42.2644217922607 0.0951699007436255 444.094419160057 Winsorized Mean ( 82 / 163 ) 42.2633028513238 0.0949974237573685 444.8889367702 Winsorized Mean ( 83 / 163 ) 42.2645030549898 0.0948210753057953 445.728999789214 Winsorized Mean ( 84 / 163 ) 42.268899796334 0.0944930397322306 447.322891888264 Winsorized Mean ( 85 / 163 ) 42.2701808553971 0.0940785789539658 449.307178375649 Winsorized Mean ( 86 / 163 ) 42.2667128309572 0.0938885470779593 450.179645402985 Winsorized Mean ( 87 / 163 ) 42.2691580448065 0.0937285691092023 450.974110098268 Winsorized Mean ( 88 / 163 ) 42.2532427698574 0.0927590302321237 455.516219435685 Winsorized Mean ( 89 / 163 ) 42.2494725050917 0.092502518975811 456.738616125034 Winsorized Mean ( 90 / 163 ) 42.2490509164969 0.0924116183508918 457.183324677586 Winsorized Mean ( 91 / 163 ) 42.2403586558045 0.0919081649534717 459.593102279744 Winsorized Mean ( 92 / 163 ) 42.2403211812627 0.0916213993049082 461.031172867056 Winsorized Mean ( 93 / 163 ) 42.2407 0.0915965502159978 461.160381044814 Winsorized Mean ( 94 / 163 ) 42.2376368635438 0.0913506233889188 462.368348420788 Winsorized Mean ( 95 / 163 ) 42.2397845213849 0.090894491924055 464.712257335433 Winsorized Mean ( 96 / 163 ) 42.2402146639511 0.090827708378623 465.058685482509 Winsorized Mean ( 97 / 163 ) 42.2398590631364 0.0907522198323204 465.44160728169 Winsorized Mean ( 98 / 163 ) 42.2391604887984 0.0903114240516779 467.705618999301 Winsorized Mean ( 99 / 163 ) 42.2336156822811 0.089915173961102 469.705098947499 Winsorized Mean ( 100 / 163 ) 42.2326380855397 0.0898143506347407 470.221493414705 Winsorized Mean ( 101 / 163 ) 42.2282771894094 0.0893284736832802 472.730311492083 Winsorized Mean ( 102 / 163 ) 42.2240185336049 0.0887950472229603 475.522226229378 Winsorized Mean ( 103 / 163 ) 42.2219207739308 0.0886434866682302 476.311597849897 Winsorized Mean ( 104 / 163 ) 42.2144437881874 0.088180132797743 478.729646336707 Winsorized Mean ( 105 / 163 ) 42.2039651731161 0.0875118883694507 482.265506544011 Winsorized Mean ( 106 / 163 ) 42.20733299389 0.0871175130529635 484.487349498026 Winsorized Mean ( 107 / 163 ) 42.2010568228106 0.0864918379988538 487.919528584533 Winsorized Mean ( 108 / 163 ) 42.197383503055 0.0860869484988455 490.1716722323 Winsorized Mean ( 109 / 163 ) 42.1976720977597 0.0858107270157667 491.752879450682 Winsorized Mean ( 110 / 163 ) 42.1973136456212 0.0852679726659007 494.878819401041 Winsorized Mean ( 111 / 163 ) 42.1959572301426 0.0848954531556705 497.034360047163 Winsorized Mean ( 112 / 163 ) 42.1965731160896 0.0847659955505975 497.800714095337 Winsorized Mean ( 113 / 163 ) 42.1966421588595 0.0844656865463008 499.571410406152 Winsorized Mean ( 114 / 163 ) 42.1952490835031 0.0842194906916296 501.015248809819 Winsorized Mean ( 115 / 163 ) 42.1984109979633 0.083961642814264 502.591535652925 Winsorized Mean ( 116 / 163 ) 42.2023091649694 0.0837085502222437 504.157688228067 Winsorized Mean ( 117 / 163 ) 42.2037389002037 0.0833638915259702 506.259222400336 Winsorized Mean ( 118 / 163 ) 42.2116696537678 0.0828108304458308 509.736098847358 Winsorized Mean ( 119 / 163 ) 42.2121543788187 0.0826449693330355 510.764959071083 Winsorized Mean ( 120 / 163 ) 42.2127653767821 0.0820906673129391 514.221247780361 Winsorized Mean ( 121 / 163 ) 42.2146136456212 0.0816307348832942 517.141168776375 Winsorized Mean ( 122 / 163 ) 42.2175953156823 0.0810136436782572 521.117103229525 Winsorized Mean ( 123 / 163 ) 42.2152154786151 0.0806970905524795 523.131815404935 Winsorized Mean ( 124 / 163 ) 42.210417107943 0.0799227001981754 528.140528326477 Winsorized Mean ( 125 / 163 ) 42.2380393075356 0.0778515350128074 542.546005041353 Winsorized Mean ( 126 / 163 ) 42.255566395112 0.0767417730323558 550.620147612386 Winsorized Mean ( 127 / 163 ) 42.2617741344196 0.0763505380822801 553.522937701835 Winsorized Mean ( 128 / 163 ) 42.2710808553971 0.0755532098904594 559.487557400721 Winsorized Mean ( 129 / 163 ) 42.2710808553971 0.0754390505605311 560.334210747781 Winsorized Mean ( 130 / 163 ) 42.3073537678208 0.0729234622294682 580.161068528154 Winsorized Mean ( 131 / 163 ) 42.3133568228106 0.0724235272264261 584.248771680527 Winsorized Mean ( 132 / 163 ) 42.3419881873727 0.0703377371503526 601.981097243195 Winsorized Mean ( 133 / 163 ) 42.3418527494908 0.0701571126020935 603.52901051728 Winsorized Mean ( 134 / 163 ) 42.3450185336049 0.0697600265282592 607.009782550058 Winsorized Mean ( 135 / 163 ) 42.3482904276986 0.0695615007372961 608.789200618743 Winsorized Mean ( 136 / 163 ) 42.3521682281059 0.0690303766670788 613.529438385696 Winsorized Mean ( 137 / 163 ) 42.3758572301426 0.0673630089918106 629.067167045556 Winsorized Mean ( 138 / 163 ) 42.3968242362525 0.0657576332567174 644.743767932395 Winsorized Mean ( 139 / 163 ) 42.4033354378819 0.0651770563543747 650.586844660955 Winsorized Mean ( 140 / 163 ) 42.4048751527495 0.0650226914615828 652.155027722952 Winsorized Mean ( 141 / 163 ) 42.411250305499 0.0645584555570552 656.943384713052 Winsorized Mean ( 142 / 163 ) 42.4116551934827 0.0644887819574468 657.659423951722 Winsorized Mean ( 143 / 163 ) 42.4209458248472 0.0637704578376023 665.213129453709 Winsorized Mean ( 144 / 163 ) 42.4230281059063 0.063635967512452 666.651734297984 Winsorized Mean ( 145 / 163 ) 42.4268967413442 0.06314816406299 671.862711622519 Winsorized Mean ( 146 / 163 ) 42.4295431771894 0.0627557714683682 676.105833526018 Winsorized Mean ( 147 / 163 ) 42.4460095723014 0.0617339196186086 687.563819607314 Winsorized Mean ( 148 / 163 ) 42.447516700611 0.0614884385095263 690.333300528272 Winsorized Mean ( 149 / 163 ) 42.443116496945 0.0612828398935954 692.577507351788 Winsorized Mean ( 150 / 163 ) 42.4506012219959 0.0606572674672443 699.84361304966 Winsorized Mean ( 151 / 163 ) 42.4644095723014 0.0596515157867264 711.87477823909 Winsorized Mean ( 152 / 163 ) 42.4652454175153 0.0593000385651445 716.108225981417 Winsorized Mean ( 153 / 163 ) 42.4624097759674 0.0591191716051437 718.251095593379 Winsorized Mean ( 154 / 163 ) 42.4695922606925 0.0586868050165307 723.665093861043 Winsorized Mean ( 155 / 163 ) 42.4789048879837 0.0578415506351238 734.401211958324 Winsorized Mean ( 156 / 163 ) 42.5061016293279 0.0559349624751337 759.920088410255 Winsorized Mean ( 157 / 163 ) 42.5480535641548 0.0535029515705859 795.246847419652 Winsorized Mean ( 158 / 163 ) 42.5634030549898 0.0526077888044359 809.070368139116 Winsorized Mean ( 159 / 163 ) 42.5645364562118 0.0522291287605908 814.957811211445 Winsorized Mean ( 160 / 163 ) 42.5585405295316 0.0516954261011227 823.255435525026 Winsorized Mean ( 161 / 163 ) 42.5561468431772 0.0515425930433995 825.650095006752 Winsorized Mean ( 162 / 163 ) 42.5626796334012 0.0509624037895554 835.178022786365 Winsorized Mean ( 163 / 163 ) 42.5732696537678 0.0501558393230995 848.819803004681 Trimmed Mean ( 1 / 163 ) 42.2608735234216 0.107857497005754 391.821381884721 Trimmed Mean ( 2 / 163 ) 42.2612932515337 0.107511548710596 393.086080131676 Trimmed Mean ( 3 / 163 ) 42.2624709278351 0.107186675756168 394.288475033737 Trimmed Mean ( 4 / 163 ) 42.2624709278351 0.106859142028689 395.497007794511 Trimmed Mean ( 5 / 163 ) 42.263727027027 0.106533566182355 396.717471699799 Trimmed Mean ( 6 / 163 ) 42.2644288100209 0.106214579134026 397.915513619742 Trimmed Mean ( 7 / 163 ) 42.2656140461216 0.105930770523749 398.992793473979 Trimmed Mean ( 8 / 163 ) 42.2656140461216 0.105675373851197 399.957080877105 Trimmed Mean ( 9 / 163 ) 42.2678613107822 0.105433261967338 400.896837696973 Trimmed Mean ( 10 / 163 ) 42.2692061571125 0.105203103394248 401.786684929903 Trimmed Mean ( 11 / 163 ) 42.2705737739872 0.104975665342171 402.67021538949 Trimmed Mean ( 12 / 163 ) 42.2721436830835 0.104755953538284 403.529749434572 Trimmed Mean ( 13 / 163 ) 42.2737498924731 0.104538576744761 404.384211157646 Trimmed Mean ( 14 / 163 ) 42.2753686825054 0.10431530260538 405.265264315355 Trimmed Mean ( 15 / 163 ) 42.2770134490239 0.104088234195592 406.16515186127 Trimmed Mean ( 16 / 163 ) 42.2770134490239 0.103858634047917 407.063060636043 Trimmed Mean ( 17 / 163 ) 42.280315536105 0.103628444141083 407.999134663676 Trimmed Mean ( 18 / 163 ) 42.2820751648352 0.103397071786545 408.929135363942 Trimmed Mean ( 19 / 163 ) 42.2838889624724 0.10317184521735 409.839417656957 Trimmed Mean ( 20 / 163 ) 42.2858809312639 0.102951705012575 410.735120181824 Trimmed Mean ( 21 / 163 ) 42.2878258351893 0.102734382590794 411.622913076997 Trimmed Mean ( 22 / 163 ) 42.2897760626398 0.102512388104364 412.533322505239 Trimmed Mean ( 23 / 163 ) 42.2916087640449 0.102301950059168 413.399830008956 Trimmed Mean ( 24 / 163 ) 42.293444469526 0.10209178757907 414.268820954573 Trimmed Mean ( 25 / 163 ) 42.2953213151927 0.101886662745178 415.12127471458 Trimmed Mean ( 26 / 163 ) 42.2971815489749 0.101680302334019 415.982059239251 Trimmed Mean ( 27 / 163 ) 42.299071395881 0.101470820352317 416.859460177955 Trimmed Mean ( 28 / 163 ) 42.3009648275862 0.101261853255775 417.73840264151 Trimmed Mean ( 29 / 163 ) 42.3028284064665 0.101057964112687 418.599649991918 Trimmed Mean ( 30 / 163 ) 42.3047069605568 0.10086025575708 419.438822983425 Trimmed Mean ( 31 / 163 ) 42.3066053613054 0.100656322931806 420.307479242688 Trimmed Mean ( 32 / 163 ) 42.3066053613054 0.100457631547239 421.138789653935 Trimmed Mean ( 33 / 163 ) 42.3102392941177 0.1002565284484 422.019792116518 Trimmed Mean ( 34 / 163 ) 42.3120035460993 0.100056404615287 422.88151077172 Trimmed Mean ( 35 / 163 ) 42.3137301662708 0.0998554762427034 423.749720680569 Trimmed Mean ( 36 / 163 ) 42.3154639618138 0.0996495928425085 424.642617744474 Trimmed Mean ( 37 / 163 ) 42.3171928057554 0.0994468461491664 425.525740075068 Trimmed Mean ( 38 / 163 ) 42.3189489156627 0.0992457187386533 426.405788113666 Trimmed Mean ( 39 / 163 ) 42.3206847457627 0.0990439168173976 427.292115514649 Trimmed Mean ( 40 / 163 ) 42.3224849148419 0.0988525164402313 428.137658391641 Trimmed Mean ( 41 / 163 ) 42.3241388753056 0.0986730744777873 428.933010340459 Trimmed Mean ( 42 / 163 ) 42.3257262899263 0.0985079946614315 429.667931373472 Trimmed Mean ( 43 / 163 ) 42.3273681481481 0.098343244664031 430.404429839088 Trimmed Mean ( 44 / 163 ) 42.3290387096774 0.0981747437340616 431.160165025126 Trimmed Mean ( 45 / 163 ) 42.3307296758105 0.0980044021085213 431.926819255907 Trimmed Mean ( 46 / 163 ) 42.3324288220551 0.0978312523125129 432.70864699583 Trimmed Mean ( 47 / 163 ) 42.3340795969773 0.097659553418729 433.486311528213 Trimmed Mean ( 48 / 163 ) 42.3357243037975 0.097487515495488 434.268163350177 Trimmed Mean ( 49 / 163 ) 42.3374442748092 0.0973175817670943 435.044146248244 Trimmed Mean ( 50 / 163 ) 42.3391959079284 0.0971465723883827 435.827995440337 Trimmed Mean ( 51 / 163 ) 42.3409678663239 0.0969734567785938 436.624301874638 Trimmed Mean ( 52 / 163 ) 42.3427534883721 0.0968006325684069 437.422280876619 Trimmed Mean ( 53 / 163 ) 42.3445379220779 0.0966249572106927 438.236032847547 Trimmed Mean ( 54 / 163 ) 42.3463161879896 0.0964472539481622 439.061916793915 Trimmed Mean ( 55 / 163 ) 42.3481606299213 0.0962693024428176 439.892671447114 Trimmed Mean ( 56 / 163 ) 42.3500242744063 0.096088258714181 440.74088594298 Trimmed Mean ( 57 / 163 ) 42.351824137931 0.0959105421973703 441.576318594644 Trimmed Mean ( 58 / 163 ) 42.3536325333333 0.0957336279022335 442.41123481277 Trimmed Mean ( 59 / 163 ) 42.3554305630027 0.0955566119640831 443.24960557332 Trimmed Mean ( 60 / 163 ) 42.3572630727763 0.095384166361981 444.070171059956 Trimmed Mean ( 61 / 163 ) 42.3591281842818 0.0952063748359645 444.919032546553 Trimmed Mean ( 62 / 163 ) 42.3610215258856 0.0950265200327592 445.781046294047 Trimmed Mean ( 63 / 163 ) 42.3629857534247 0.094845515964564 446.652488761327 Trimmed Mean ( 64 / 163 ) 42.3629857534247 0.094659884055689 447.528392581827 Trimmed Mean ( 65 / 163 ) 42.3669889196676 0.0944755194341807 448.444096136289 Trimmed Mean ( 66 / 163 ) 42.368991086351 0.0942873417151104 449.360331043896 Trimmed Mean ( 67 / 163 ) 42.3710008403361 0.0940946502757034 450.301911067062 Trimmed Mean ( 68 / 163 ) 42.3730405633803 0.0938955059605883 451.278686129728 Trimmed Mean ( 69 / 163 ) 42.3751067988669 0.0936938371932288 452.272081796318 Trimmed Mean ( 70 / 163 ) 42.3772233618234 0.0934871342275723 453.294709608555 Trimmed Mean ( 71 / 163 ) 42.3793593123209 0.0932769981281014 454.338799090849 Trimmed Mean ( 72 / 163 ) 42.3815181556196 0.0930601137204759 455.420872178608 Trimmed Mean ( 73 / 163 ) 42.3836965217391 0.0928413382366561 456.517509621646 Trimmed Mean ( 74 / 163 ) 42.3859069970845 0.0926156746258138 457.65370892489 Trimmed Mean ( 75 / 163 ) 42.3881982404692 0.0923874694504744 458.808954207713 Trimmed Mean ( 76 / 163 ) 42.3905327433628 0.0921527486392177 460.002912222659 Trimmed Mean ( 77 / 163 ) 42.3929201780415 0.09191061987942 461.24071661858 Trimmed Mean ( 78 / 163 ) 42.3953376119403 0.091662404870176 462.516095579055 Trimmed Mean ( 79 / 163 ) 42.3978234234234 0.0914133072999893 463.803626361393 Trimmed Mean ( 80 / 163 ) 42.4003317220544 0.0911549677250708 465.145595245412 Trimmed Mean ( 81 / 163 ) 42.4028711246201 0.0908916041696776 466.521319675047 Trimmed Mean ( 82 / 163 ) 42.4054376146789 0.0906232587901446 467.931060754246 Trimmed Mean ( 83 / 163 ) 42.4080563076923 0.0903487041064182 469.382009704771 Trimmed Mean ( 84 / 163 ) 42.4106854489164 0.0900679918676107 470.874109320158 Trimmed Mean ( 85 / 163 ) 42.4132672897196 0.0897856062475392 472.383815873406 Trimmed Mean ( 86 / 163 ) 42.41585830721 0.0895036699359053 473.900772310058 Trimmed Mean ( 87 / 163 ) 42.4185444794953 0.0892150670589952 475.463908483588 Trimmed Mean ( 88 / 163 ) 42.421220952381 0.0889191792164758 477.076164289658 Trimmed Mean ( 89 / 163 ) 42.4242153354633 0.0886376097793462 478.625443996897 Trimmed Mean ( 90 / 163 ) 42.4273151125402 0.0883508944736196 480.213758619143 Trimmed Mean ( 91 / 163 ) 42.4304624595469 0.0880542696097625 481.867178588722 Trimmed Mean ( 92 / 163 ) 42.4338035830619 0.087758476061087 483.529403513394 Trimmed Mean ( 93 / 163 ) 42.4371891803279 0.0874580741509447 485.228946467368 Trimmed Mean ( 94 / 163 ) 42.4406128712871 0.0871451057627105 487.010859644255 Trimmed Mean ( 95 / 163 ) 42.4441352159468 0.0868251681266979 488.845989379613 Trimmed Mean ( 96 / 163 ) 42.4476675585284 0.0865049215763435 490.69656136347 Trimmed Mean ( 97 / 163 ) 42.4512400673401 0.0861723554886077 492.631770672118 Trimmed Mean ( 98 / 163 ) 42.4548671186441 0.0858270773698998 494.655864089033 Trimmed Mean ( 99 / 163 ) 42.4585556313993 0.0854795629857904 496.710022236044 Trimmed Mean ( 100 / 163 ) 42.462389347079 0.0851275179040398 498.809202858996 Trimmed Mean ( 101 / 163 ) 42.466292733564 0.0847623269872982 501.004328726459 Trimmed Mean ( 102 / 163 ) 42.4703243902439 0.0843946587243767 503.23474295864 Trimmed Mean ( 103 / 163 ) 42.4744845614035 0.084025745405396 505.493695491524 Trimmed Mean ( 104 / 163 ) 42.478738869258 0.0836439555964862 507.851865282211 Trimmed Mean ( 105 / 163 ) 42.4831793594306 0.0832573468425298 510.263429842196 Trimmed Mean ( 106 / 163 ) 42.4878591397849 0.08287128566366 512.69699509943 Trimmed Mean ( 107 / 163 ) 42.4925501805054 0.0824798521471086 515.187031430621 Trimmed Mean ( 108 / 163 ) 42.4974141818182 0.082087957968631 517.705827181839 Trimmed Mean ( 109 / 163 ) 42.5024106227106 0.0816889743622947 520.295559523251 Trimmed Mean ( 110 / 163 ) 42.5074760147602 0.0812792845331469 522.980440328864 Trimmed Mean ( 111 / 163 ) 42.5126226765799 0.0808667157911683 525.712244656569 Trimmed Mean ( 112 / 163 ) 42.5178689138577 0.0804452989599135 528.531430221232 Trimmed Mean ( 113 / 163 ) 42.5231841509434 0.0800071324841343 531.492416121474 Trimmed Mean ( 114 / 163 ) 42.5285790874525 0.0795568152865997 534.568646749436 Trimmed Mean ( 115 / 163 ) 42.5340796934866 0.079091500260985 537.783194820344 Trimmed Mean ( 116 / 163 ) 42.5396131274131 0.0786120153713918 541.133730339319 Trimmed Mean ( 117 / 163 ) 42.5451684824903 0.0781176687683451 544.629264458164 Trimmed Mean ( 118 / 163 ) 42.5507874509804 0.0776100950587167 548.263565697067 Trimmed Mean ( 119 / 163 ) 42.5563648221344 0.0770976464343505 551.980077087977 Trimmed Mean ( 120 / 163 ) 42.5620231075697 0.076564411202103 555.898261859822 Trimmed Mean ( 121 / 163 ) 42.567762248996 0.0760229013206943 559.933408347946 Trimmed Mean ( 122 / 163 ) 42.5735639676113 0.075469651425279 564.11502058894 Trimmed Mean ( 123 / 163 ) 42.5735639676113 0.0749099601875217 568.329817036842 Trimmed Mean ( 124 / 163 ) 42.5853942386831 0.0743307940542304 572.917251598491 Trimmed Mean ( 125 / 163 ) 42.591555186722 0.0737467715771347 577.537894552764 Trimmed Mean ( 126 / 163 ) 42.5973652719665 0.0732159144641927 581.804728981421 Trimmed Mean ( 127 / 163 ) 42.6029852320675 0.0727018543968322 585.995853689309 Trimmed Mean ( 128 / 163 ) 42.6029852320675 0.0721754207297234 590.269994983523 Trimmed Mean ( 129 / 163 ) 42.6141553648069 0.0716519183611689 594.738512791881 Trimmed Mean ( 130 / 163 ) 42.6198082251082 0.0711029117397107 599.410167351912 Trimmed Mean ( 131 / 163 ) 42.6249615720524 0.0706286978005126 603.507680297952 Trimmed Mean ( 132 / 163 ) 42.6301066079295 0.0701474849141567 607.721098769233 Trimmed Mean ( 133 / 163 ) 42.6348697777778 0.0697247071645078 611.474346922469 Trimmed Mean ( 134 / 163 ) 42.6397206278027 0.0692833337638722 615.439793545806 Trimmed Mean ( 135 / 163 ) 42.6446067873303 0.0688314281788355 619.551386853873 Trimmed Mean ( 136 / 163 ) 42.6495278538813 0.0683608736004897 623.887987493123 Trimmed Mean ( 137 / 163 ) 42.6544751152074 0.0678835541440612 628.347700014157 Trimmed Mean ( 138 / 163 ) 42.6591195348837 0.0674494650919167 632.460457273457 Trimmed Mean ( 139 / 163 ) 42.6635009389671 0.0670567174357654 636.230083583127 Trimmed Mean ( 140 / 163 ) 42.6678563981043 0.0666633121959375 640.050051409004 Trimmed Mean ( 141 / 163 ) 42.6722693779904 0.0662511044699324 644.098988528666 Trimmed Mean ( 142 / 163 ) 42.6766603864734 0.0658327137549892 648.259170133923 Trimmed Mean ( 143 / 163 ) 42.6811302439024 0.0653900542765488 652.715932355625 Trimmed Mean ( 144 / 163 ) 42.6855310344828 0.0649508732547734 657.197184509689 Trimmed Mean ( 145 / 163 ) 42.689984079602 0.0644890197158154 661.972910547012 Trimmed Mean ( 146 / 163 ) 42.6944608040201 0.0640183610585153 666.909619335548 Trimmed Mean ( 147 / 163 ) 42.698983248731 0.0635338753498224 672.066405734376 Trimmed Mean ( 148 / 163 ) 42.7033164102564 0.0630665779073377 677.114849532496 Trimmed Mean ( 149 / 163 ) 42.7077134715026 0.062578638844593 682.464723746427 Trimmed Mean ( 150 / 163 ) 42.7122785340314 0.0620645934738554 688.190740377988 Trimmed Mean ( 151 / 163 ) 42.7168105820106 0.0615460241802098 694.062876538274 Trimmed Mean ( 152 / 163 ) 42.7211994652406 0.0610422643706936 699.862626422343 Trimmed Mean ( 153 / 163 ) 42.7256686486487 0.060519333592571 705.983792489965 Trimmed Mean ( 154 / 163 ) 42.7302852459016 0.0599663528001228 712.57102109125 Trimmed Mean ( 155 / 163 ) 42.7348773480663 0.0593973425287875 719.474567862265 Trimmed Mean ( 156 / 163 ) 42.7394072625698 0.0588320128875251 726.465153321864 Trimmed Mean ( 157 / 163 ) 42.7435559322034 0.0583291835332217 732.798804013065 Trimmed Mean ( 158 / 163 ) 42.7470497142857 0.0579210190449725 738.02309453663 Trimmed Mean ( 159 / 163 ) 42.7503485549133 0.0575291709823618 743.107328419879 Trimmed Mean ( 160 / 163 ) 42.7537040935673 0.0571251930561637 748.421174726415 Trimmed Mean ( 161 / 163 ) 42.7572479289941 0.0567130517567747 753.922538190453 Trimmed Mean ( 162 / 163 ) 42.7609203592814 0.0562745924343603 759.861928971917 Trimmed Mean ( 163 / 163 ) 42.7645618181818 0.0558328599364784 765.93894467945 Median 42.9278 Midrange 42.15825 Midmean - Weighted Average at Xnp 42.5675743902439 Midmean - Weighted Average at X(n+1)p 42.5735639676114 Midmean - Empirical Distribution Function 42.5735639676114 Midmean - Empirical Distribution Function - Averaging 42.5735639676114 Midmean - Empirical Distribution Function - Interpolation 42.5794114285715 Midmean - Closest Observation 42.5675743902439 Midmean - True Basic - Statistics Graphics Toolkit 42.5735639676114 Midmean - MS Excel (old versions) 42.5735639676114 Number of observations 491

Charts produced by software:

http://www.freestatistics.org/blog/date/2010/Dec/06/t12916690616ghlhv7l54tsw2m/1vg0e1291668922.png (open in new window) http://www.freestatistics.org/blog/date/2010/Dec/06/t12916690616ghlhv7l54tsw2m/1vg0e1291668922.ps (open in new window) http://www.freestatistics.org/blog/date/2010/Dec/06/t12916690616ghlhv7l54tsw2m/2vg0e1291668922.png (open in new window) http://www.freestatistics.org/blog/date/2010/Dec/06/t12916690616ghlhv7l54tsw2m/2vg0e1291668922.ps (open in new window)

Parameters (Session):

Parameters (R input):

R code (references can be found in the software module):

geomean <- function(x) { return(exp(mean(log(x)))) } harmean <- function(x) { return(1/mean(1/x)) } quamean <- function(x) { return(sqrt(mean(x*x))) } winmean <- function(x) { x <-sort(x[!is.na(x)]) n<-length(x) denom <- 3 nodenom <- n/denom if (nodenom>40) denom <- n/40 sqrtn = sqrt(n) roundnodenom = floor(nodenom) win <- array(NA,dim=c(roundnodenom,2)) for (j in 1:roundnodenom) { win[j,1] <- (j*x[j+1]+sum(x[(j+1):(n-j)])+j*x[n-j])/n win[j,2] <- sd(c(rep(x[j+1],j),x[(j+1):(n-j)],rep(x[n-j],j)))/sqrtn } return(win) } trimean <- function(x) { x <-sort(x[!is.na(x)]) n<-length(x) denom <- 3 nodenom <- n/denom if (nodenom>40) denom <- n/40 sqrtn = sqrt(n) roundnodenom = floor(nodenom) tri <- array(NA,dim=c(roundnodenom,2)) for (j in 1:roundnodenom) { tri[j,1] <- mean(x,trim=j/n) tri[j,2] <- sd(x[(j+1):(n-j)]) / sqrt(n-j*2) } return(tri) } midrange <- function(x) { return((max(x)+min(x))/2) } q1 <- function(data,n,p,i,f) { np <- n*p; i <<- floor(np) f <<- np - i qvalue <- (1-f)*data[i] + f*data[i+1] } q2 <- function(data,n,p,i,f) { np <- (n+1)*p i <<- floor(np) f <<- np - i qvalue <- (1-f)*data[i] + f*data[i+1] } q3 <- function(data,n,p,i,f) { np <- n*p i <<- floor(np) f <<- np - i if (f==0) { qvalue <- data[i] } else { qvalue <- data[i+1] } } q4 <- function(data,n,p,i,f) { np <- n*p i <<- floor(np) f <<- np - i if (f==0) { qvalue <- (data[i]+data[i+1])/2 } else { qvalue <- data[i+1] } } q5 <- function(data,n,p,i,f) { np <- (n-1)*p i <<- floor(np) f <<- np - i if (f==0) { qvalue <- data[i+1] } else { qvalue <- data[i+1] + f*(data[i+2]-data[i+1]) } } q6 <- function(data,n,p,i,f) { np <- n*p+0.5 i <<- floor(np) f <<- np - i qvalue <- data[i] } q7 <- function(data,n,p,i,f) { np <- (n+1)*p i <<- floor(np) f <<- np - i if (f==0) { qvalue <- data[i] } else { qvalue <- f*data[i] + (1-f)*data[i+1] } } q8 <- function(data,n,p,i,f) { np <- (n+1)*p i <<- floor(np) f <<- np - i if (f==0) { qvalue <- data[i] } else { if (f == 0.5) { qvalue <- (data[i]+data[i+1])/2 } else { if (f < 0.5) { qvalue <- data[i] } else { qvalue <- data[i+1] } } } } midmean <- function(x,def) { x <-sort(x[!is.na(x)]) n<-length(x) if (def==1) { qvalue1 <- q1(x,n,0.25,i,f) qvalue3 <- q1(x,n,0.75,i,f) } if (def==2) { qvalue1 <- q2(x,n,0.25,i,f) qvalue3 <- q2(x,n,0.75,i,f) } if (def==3) { qvalue1 <- q3(x,n,0.25,i,f) qvalue3 <- q3(x,n,0.75,i,f) } if (def==4) { qvalue1 <- q4(x,n,0.25,i,f) qvalue3 <- q4(x,n,0.75,i,f) } if (def==5) { qvalue1 <- q5(x,n,0.25,i,f) qvalue3 <- q5(x,n,0.75,i,f) } if (def==6) { qvalue1 <- q6(x,n,0.25,i,f) qvalue3 <- q6(x,n,0.75,i,f) } if (def==7) { qvalue1 <- q7(x,n,0.25,i,f) qvalue3 <- q7(x,n,0.75,i,f) } if (def==8) { qvalue1 <- q8(x,n,0.25,i,f) qvalue3 <- q8(x,n,0.75,i,f) } midm <- 0 myn <- 0 roundno4 <- round(n/4) round3no4 <- round(3*n/4) for (i in 1:n) { if ((x[i]>=qvalue1) & (x[i]<=qvalue3)){ midm = midm + x[i] myn = myn + 1 } } midm = midm / myn return(midm) } (arm <- mean(x)) sqrtn <- sqrt(length(x)) (armse <- sd(x) / sqrtn) (armose <- arm / armse) (geo <- geomean(x)) (har <- harmean(x)) (qua <- quamean(x)) (win <- winmean(x)) (tri <- trimean(x)) (midr <- midrange(x)) midm <- array(NA,dim=8) for (j in 1:8) midm[j] <- midmean(x,j) midm bitmap(file='test1.png') lb <- win[,1] - 2*win[,2] ub <- win[,1] + 2*win[,2] if ((ylimmin == '') | (ylimmax == '')) plot(win[,1],type='b',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(win[,1],type='l',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(ylimmin,ylimmax)) lines(ub,lty=3) lines(lb,lty=3) grid() dev.off() bitmap(file='test2.png') lb <- tri[,1] - 2*tri[,2] ub <- tri[,1] + 2*tri[,2] if ((ylimmin == '') | (ylimmax == '')) plot(tri[,1],type='b',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(tri[,1],type='l',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(ylimmin,ylimmax)) lines(ub,lty=3) lines(lb,lty=3) grid() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Central Tendency - Ungrouped Data',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Measure',header=TRUE) a<-table.element(a,'Value',header=TRUE) a<-table.element(a,'S.E.',header=TRUE) a<-table.element(a,'Value/S.E.',header=TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm', 'Arithmetic Mean', 'click to view the definition of the Arithmetic Mean'),header=TRUE) a<-table.element(a,arm) a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean_standard_error.htm', armse, 'click to view the definition of the Standard Error of the Arithmetic Mean')) a<-table.element(a,armose) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/geometric_mean.htm', 'Geometric Mean', 'click to view the definition of the Geometric Mean'),header=TRUE) a<-table.element(a,geo) a<-table.element(a,'') a<-table.element(a,'') a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/harmonic_mean.htm', 'Harmonic Mean', 'click to view the definition of the Harmonic Mean'),header=TRUE) a<-table.element(a,har) a<-table.element(a,'') a<-table.element(a,'') a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/quadratic_mean.htm', 'Quadratic Mean', 'click to view the definition of the Quadratic Mean'),header=TRUE) a<-table.element(a,qua) a<-table.element(a,'') a<-table.element(a,'') a<-table.row.end(a) for (j in 1:length(win[,1])) { a<-table.row.start(a) mylabel <- paste('Winsorized Mean (',j) mylabel <- paste(mylabel,'/') mylabel <- paste(mylabel,length(win[,1])) mylabel <- paste(mylabel,')') a<-table.element(a,hyperlink('http://www.xycoon.com/winsorized_mean.htm', mylabel, 'click to view the definition of the Winsorized Mean'),header=TRUE) a<-table.element(a,win[j,1]) a<-table.element(a,win[j,2]) a<-table.element(a,win[j,1]/win[j,2]) a<-table.row.end(a) } for (j in 1:length(tri[,1])) { a<-table.row.start(a) mylabel <- paste('Trimmed Mean (',j) mylabel <- paste(mylabel,'/') mylabel <- paste(mylabel,length(tri[,1])) mylabel <- paste(mylabel,')') a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm', mylabel, 'click to view the definition of the Trimmed Mean'),header=TRUE) a<-table.element(a,tri[j,1]) a<-table.element(a,tri[j,2]) a<-table.element(a,tri[j,1]/tri[j,2]) a<-table.row.end(a) } a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/median_1.htm', 'Median', 'click to view the definition of the Median'),header=TRUE) a<-table.element(a,median(x)) a<-table.element(a,'') a<-table.element(a,'') a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/midrange.htm', 'Midrange', 'click to view the definition of the Midrange'),header=TRUE) a<-table.element(a,midr) a<-table.element(a,'') a<-table.element(a,'') a<-table.row.end(a) a<-table.row.start(a) mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean') mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_1.htm','Weighted Average at Xnp',''),sep=' - ') a<-table.element(a,mylabel,header=TRUE) a<-table.element(a,midm[1]) a<-table.element(a,'') a<-table.element(a,'') a<-table.row.end(a) a<-table.row.start(a) mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean') mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_2.htm','Weighted Average at X(n+1)p',''),sep=' - ') a<-table.element(a,mylabel,header=TRUE) a<-table.element(a,midm[2]) a<-table.element(a,'') a<-table.element(a,'') a<-table.row.end(a) a<-table.row.start(a) mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean') mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_3.htm','Empirical Distribution Function',''),sep=' - ') a<-table.element(a,mylabel,header=TRUE) a<-table.element(a,midm[3]) a<-table.element(a,'') a<-table.element(a,'') a<-table.row.end(a) a<-table.row.start(a) mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean') mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_4.htm','Empirical Distribution Function - Averaging',''),sep=' - ') a<-table.element(a,mylabel,header=TRUE) a<-table.element(a,midm[4]) a<-table.element(a,'') a<-table.element(a,'') a<-table.row.end(a) a<-table.row.start(a) mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean') mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_5.htm','Empirical Distribution Function - Interpolation',''),sep=' - ') a<-table.element(a,mylabel,header=TRUE) a<-table.element(a,midm[5]) a<-table.element(a,'') a<-table.element(a,'') a<-table.row.end(a) a<-table.row.start(a) mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean') mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_6.htm','Closest Observation',''),sep=' - ') a<-table.element(a,mylabel,header=TRUE) a<-table.element(a,midm[6]) a<-table.element(a,'') a<-table.element(a,'') a<-table.row.end(a) a<-table.row.start(a) mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean') mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_7.htm','True Basic - Statistics Graphics Toolkit',''),sep=' - ') a<-table.element(a,mylabel,header=TRUE) a<-table.element(a,midm[7]) a<-table.element(a,'') a<-table.element(a,'') a<-table.row.end(a) a<-table.row.start(a) mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean') mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_8.htm','MS Excel (old versions)',''),sep=' - ') a<-table.element(a,mylabel,header=TRUE) a<-table.element(a,midm[8]) a<-table.element(a,'') a<-table.element(a,'') a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Number of observations',header=TRUE) a<-table.element(a,length(x)) a<-table.element(a,'') a<-table.element(a,'') a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')

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