⭐ 欢迎来到虫虫下载站! | 📦 资源下载 📁 资源专辑 ℹ️ 关于我们
⭐ 虫虫下载站

📄 datas11.m

📁 一个非常实用的统计工具箱
💻 M
字号:
function x = datas11%*********************** Demographic Data *********************** %%Source:      Gunst, R. F., and Mason, R. L. (1980), Regression Analysis and%             Its Application: A Data-Oriented Approach, New York: Marcel%             Dekker, p. 358.%%Taken From:  Source%%Dimension:   49 observations on 7 variables%%Description: As described in Gunst and Mason, the data set is a subset of%             larger data set. The variables are demographic characteristics%             of the following 49 countries:%%         1 Australia            2 Austria                 3 Barbados%         4 Belgium              5 British Guiana          6 Bulgaria%         7 Canada               8 Chile                   9 Costa Rica%        10 Cyprus              11 Czechoslovakia         12 Denmark%        13 El Salvador         14 Finland                15 France%        16 Guatemala           17 Hong Kong              18 Hungary%        19 Iceland             20 India                  21 Ireland%        22 Italy               23 Jamaica                24 Japan%        25 Luxembourg          26 Malaya                 27 Malta%        28 Mauritius           29 Mexico                 30 Netherlands%        31 New Zealand         32 Nicaragua              33 Norway%        34 Panama              35 Poland                 36 Portugal%        37 Puerto Rico         38 Romania                39 Singapore%        40 Spain               41 Sweden                 42 Switzerland%        43 Taiwan              44 Trinidad               45 United Kingdom%        46 United States       47 USSR                   48 West Germany%        49 Yugoslavia%%Column   Description%%  1      infant death per 1,000 live births%  2      # of inhabitants per physician%  3      population per square kilometer%  4      population per 1,000 hectars of agricultural land%  5      percentage literate of population aged 15 years and over%  6      # of students enrolled in higher education per 100,000 population%  7      gross national product per capita (1957 U.S. dollars)x = [    19.5     860         1        21        98.5     856      1316     37.5     695        84      1720        98.5     546       670     60.4    3000       548      7121        91.1      24       200     35.4     819       301      5257        96.7     536      1196     67.1    3900         3       192        74        27       235     45.1     740        72      1380        85       456       365     27.3     900         2       257        97.5     645      1947    127.9    1700        11      1164        80.1     257       379     78.9    2600        24       948        79.4     326       357     29.9    1400        62      1042        60.5      78       467     31       620       108      1821        97.5     398       680     23.7     830       107      1434        98.5     570      1057     76.3    5400       127      1497        39.4      89       219     21      1600        13      1512        98.5     529       794     27.4    1014        83      1288        96.4     667       943     91.9    6400        36      1365        29.4     135       189     41.5    3300      3082     98143        57.5     176       272     47.6     650       108      1370        97.5     258       490     22.4     840         2        79        98.5     445       572    225      5200       138      2279        19.3     220        73     30.5    1000        40       598        98.5     362       550     48.7     746       164      2323        87.5     362       516     58.7    4300       143      3410        77        42       316     37.7     930       254      7563        98       750       306     31.5     910       123      2286        96.5      36      1388     68.9    6400        54      2980        38.4     475       356     38.3     980      1041      8050        57.6     142       377     69.5    4500       352      4711        51.8      14       225     77.7    1700        18       296        50       258       262     16.5     900       346      4855        98.5     923       836     22.8     700         9       170        98.5     839      1310     71.7    2800        10       824        38.4     110       160     20.2     946        11      3420        98.5     258      1130     54.8    3200        15       838        65.7     371       329     74.7    1100        96      1411        95       351       475     77.5    1394       100      1087        55.9     272       224     52.4    2200       271      4030        81      1192       563     75.7     788        78      1248        89       226       360     32.3    2400      2904    108214        50       437       400     43.5    1000        61      1347        87       258       293     16.6    1089        17      1705        98.5     401      1380     21.1     765       133      2320        98.5     398      1428     30.5    1500       305     10446        54       329       161     45.4    2300       168      4383        73.8      61       423     24.1     935       217      2677        98.5     460      1189     26.4     780        20       399        98      1983      2577     35       578        10       339        95       539       600     33.8     798       217      3631        98.5     528       927    100      1637        73      1215        77       524       265];

⌨️ 快捷键说明

复制代码 Ctrl + C
搜索代码 Ctrl + F
全屏模式 F11
切换主题 Ctrl + Shift + D
显示快捷键 ?
增大字号 Ctrl + =
减小字号 Ctrl + -