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1.1335086e+00 1:1.0653587e+00 2:8.4250325e-01 3:7.0782984e-01 4:1.0178784e+00 5:1.2476827e+00 6:9.0000000e-011.1645714e+00 1:1.1355961e+00 2:5.5885374e-01 3:7.9370192e-01 4:1.0346794e+00 5:1.0067861e+00 6:9.0000000e-011.0315895e+00 1:1.1533842e+00 2:4.2572016e-01 3:1.0558440e+00 4:1.1640420e+00 5:7.1297054e-01 6:9.0000000e-017.9058261e-01 1:1.0678134e+00 2:7.5043060e-01 3:1.2000510e+00 4:1.0670009e+00 5:5.0349420e-01 6:9.4136145e-016.3878936e-01 1:8.1349649e-01 2:9.7291951e-01 3:1.2998549e+00 4:1.0026658e+00 5:5.8392542e-01 6:1.1188041e+006.4385427e-01 1:6.6246660e-01 2:9.3785503e-01 3:1.1857500e+00 4:7.7000347e-01 5:9.4327347e-01 6:1.2161867e+009.7290237e-01 1:6.2210481e-01 2:1.0653587e+00 3:8.4250325e-01 4:7.0782984e-01 5:1.0178784e+00 6:1.2476827e+001.1330941e+00 1:9.3890430e-01 2:1.1355961e+00 3:5.5885374e-01 4:7.9370192e-01 5:1.0346794e+00 6:1.0067861e+001.1738960e+00 1:1.1287058e+00 2:1.1533842e+00 3:4.2572016e-01 4:1.0558440e+00 5:1.1640420e+00 6:7.1297054e-011.2210669e+00 1:1.1699535e+00 2:1.0678134e+00 3:7.5043060e-01 4:1.2000510e+00 5:1.0670009e+00 6:5.0349420e-019.4813374e-01 1:1.2412759e+00 2:8.1349649e-01 3:9.7291951e-01 4:1.2998549e+00 5:1.0026658e+00 6:5.8392542e-017.1548595e-01 1:9.8090748e-01 2:6.6246660e-01 3:9.3785503e-01 4:1.1857500e+00 5:7.7000347e-01 6:9.4327347e-015.2046031e-01 1:7.3311051e-01 2:6.2210481e-01 3:1.0653587e+00 4:8.4250325e-01 5:7.0782984e-01 6:1.0178784e+006.8100333e-01 1:5.2596003e-01 2:9.3890430e-01 3:1.1355961e+00 4:5.5885374e-01 5:7.9370192e-01 6:1.0346794e+001.0072944e+00 1:6.3134850e-01 2:1.1287058e+00 3:1.1533842e+00 4:4.2572016e-01 5:1.0558440e+00 6:1.1640420e+001.0641199e+00 1:9.7849655e-01 2:1.1699535e+00 3:1.0678134e+00 4:7.5043060e-01 5:1.2000510e+00 6:1.0670009e+001.1194312e+00 1:1.0578901e+00 2:1.2412759e+00 3:8.1349649e-01 4:9.7291951e-01 5:1.2998549e+00 6:1.0026658e+001.1522817e+00 1:1.0888001e+00 2:9.8090748e-01 3:6.6246660e-01 4:9.3785503e-01 5:1.1857500e+00 6:7.7000347e-019.7118023e-01 1:1.1681297e+00 2:7.3311051e-01 3:6.2210481e-01 4:1.0653587e+00 5:8.4250325e-01 6:7.0782984e-01这是需要用的数据，第一列为因变量，后六列是自变量，但是自变量之前有标注，很烦人，请问这样的数据该怎么处理然后进行下一步的分析？

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关键词：怎么处理 自变量 因变量 下一步 程序

1. > a <- c("1:1.0653587e+00", "2:8.4250325e-01")
   
2. > a
   
3. [1] "1:1.0653587e+00" "2:8.4250325e-01"
   
4. > strsplit(a, split = ":")
   
5. [[1]]
   
6. [1] "1"             "1.0653587e+00"
   
7. 
   
8. [[2]]
   
9. [1] "2"             "8.4250325e-01"

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或者有excel的分列。还有就是，有的算法还真需要你原始的格式。

1. text <- "1.1335086e+00 1:1.0653587e+00 2:8.4250325e-01 3:7.0782984e-01 4:1.0178784e+00 5:1.2476827e+00  2:5.5885374e-01"
   
2. 
   
3. vec <- scan(what = character(), text = text)
   
4. 
   
5. vec <- as.numeric(gsub("^[[:digit:]]+:", "", vec))

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