r - 如何在R数据帧中用零替换NA值？(How do I replace NA values with zeros in an R dataframe?)

Question

I have a data frame and some columns have NA values.

(我有一个数据框，有些列有NA值。)

How do I replace these NA values with zeroes?

(如何用零代替这些NA值？)

  ask by Renato Dinhani translate from so

Answer 1

See my comment in @gsk3 answer.

(在@ gsk3答案中查看我的评论。)

A simple example:

(一个简单的例子：)

> m <- matrix(sample(c(NA, 1:10), 100, replace = TRUE), 10)
> d <- as.data.frame(m)
   V1 V2 V3 V4 V5 V6 V7 V8 V9 V10
1   4  3 NA  3  7  6  6 10  6   5
2   9  8  9  5 10 NA  2  1  7   2
3   1  1  6  3  6 NA  1  4  1   6
4  NA  4 NA  7 10  2 NA  4  1   8
5   1  2  4 NA  2  6  2  6  7   4
6  NA  3 NA NA 10  2  1 10  8   4
7   4  4  9 10  9  8  9  4 10  NA
8   5  8  3  2  1  4  5  9  4   7
9   3  9 10  1  9  9 10  5  3   3
10  4  2  2  5 NA  9  7  2  5   5

> d[is.na(d)] <- 0

> d
   V1 V2 V3 V4 V5 V6 V7 V8 V9 V10
1   4  3  0  3  7  6  6 10  6   5
2   9  8  9  5 10  0  2  1  7   2
3   1  1  6  3  6  0  1  4  1   6
4   0  4  0  7 10  2  0  4  1   8
5   1  2  4  0  2  6  2  6  7   4
6   0  3  0  0 10  2  1 10  8   4
7   4  4  9 10  9  8  9  4 10   0
8   5  8  3  2  1  4  5  9  4   7
9   3  9 10  1  9  9 10  5  3   3
10  4  2  2  5  0  9  7  2  5   5

There's no need to apply apply .

(无需申请apply 。)

=)

(=）)

EDIT

(编辑)

You should also take a look at norm package.

(您还应该看一看norm包。)

It has a lot of nice features for missing data analysis.

(它具有许多出色的功能，可用于丢失数据分析。)

=)

(=）)