如何在R编程的数据帧中使用_for_ [英] How to use _for_ in the dataframes in R programming

问题描述

我正在尝试使用 for 循环在R中拟合多个模型.

I'm trying to fit several models in R using the for loop.

我要拟合的数据是R预构建包中的经典 Auto 数据. 让我们发现此数据框的列名称:

The data I want to fit is the classical Auto data in a R pre-build package. Let's discover the names of the columns of this dataframe:

names(Auto)

---

"mpg"          "cylinders"    "displacement" "horsepower"   "weight"       "acceleration" "year"        
"origin"       "name"   

我想将所有这些预测变量与目标"mpg"一一对应.

I want to fit the all these predictors one by one with the target 'mpg'.

代替:

autotest1 = lm(mpg〜气缸，data = Auto)

autotest1 = lm(mpg~cylinders, data=Auto)

autotest2 = lm(mpg〜displacement，data = Auto)

autotest2 = lm(mpg~displacement, data=Auto)

autotest3 = lm(mpg〜马力，数据=自动)

autotest3 = lm(mpg~horsepower, data=Auto)

autotest4 = lm(mpg〜weight，data = Auto)

autotest4 = lm(mpg~weight, data=Auto)

autotest5 = lm(mpg〜acceleration，data = Auto)

autotest5 = lm(mpg~acceleration, data=Auto)

autotest6 = lm(mpg〜year，data = Auto)

autotest6 = lm(mpg~year, data=Auto)

autotest7 = lm(mpg〜origin，data = Auto)

autotest7 = lm(mpg~origin, data=Auto)

我正在尝试使用 for 循环:

for (var in names(Auto))
{

  cat(lm(mpg~var, data=Auto))

}

Error in model.frame.default(formula = mpg ~ var, data = Auto, drop.unused.levels = TRUE) : 
  variable lengths differ (found for 'var')

我也在尝试将索引i用作 Auto 数据帧的列的Auto [i]，但没有成功.有人可以帮助我吗?

I'm also trying Auto[i] with the index i being the columns of Auto dataframe without any success. Anyone could help me?

推荐答案

我们可以使用paste

for(var in names(Auto)) print(lm(paste('mpg ~', var), data = Auto))

或使用reformulate

for(var in names(Auto)) print(lm(reformulate(var, 'mpg'), data = Auto))

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