您可以使用 colMeans ：

  ###样本数据
 set.seed（1）
m<  -  data.frame（matrix（sample（100，20 ，replace = TRUE），ncol = 4））

 ###您的错误
意味着（m）
＃[1] NA 
＃警告消息：
＃在mean.default（m）中：参数不是数字或逻辑：返回NA 

 ###使用`colMeans'
 colMeans（m）
 ＃X1 X2 X3 X4 
＃47.0 64.4 44.8 67.8 
 

I am working on R in R studio. I need to calculate the mean for each column of a data frame.

 cluster1  // 5 by 4 data frame
 mean(cluster1) // 

I got :

  Warning message:
  In mean.default(cluster1) :
  argument is not numeric or logical: returning NA

But I can use

  mean(cluster1[[1]])

to get the mean of the first column.

How to get means for all columns ?

Any help would be appreciated.

You can use colMeans:

### Sample data
set.seed(1)
m <- data.frame(matrix(sample(100, 20, replace = TRUE), ncol = 4))

### Your error
mean(m)
# [1] NA
# Warning message:
# In mean.default(m) : argument is not numeric or logical: returning NA

### The result using `colMeans`
colMeans(m)
#   X1   X2   X3   X4 
# 47.0 64.4 44.8 67.8