R equivalent for df.values-CodePudding

I have a numeric dataframe read from a csv file in this way:

df <- read.csv(path, sep=",", row.names = 1, header=TRUE)

So the first line is used as header and the first column is the index. I want to do something like the python function df.values, namely returns a matrix with only the numeric values.

I have tried

X = matrix(df)
X = data.matrix(df)

But none of them returns what I want i.e for instance I am not able to get the first numeric value by calling X[1,1].

To clarify, I have created a data frame as follows:

Firstly, I have created the matrix with

X = matrix(data=c(1,2,3,4,5,6), nrow=3, ncol=2)

Then the data.frame by using

df_dummy = data.frame(X, row.names = c("A","B","C"))

And what I get with the two mentioned method is:

> X = matrix(df_dummy)
> X[1,1]
[[1]]
[1] 1 2 3

And

> X = data.matrix(df_dummy)
> X[1,1]
[1] 1
> X
  X1 X2
A  1  4
B  2  5
C  3  6

So X is not only numerics, it still has the labels.

What I would like to have is what I built at the beginning, namely:

X
     [,1] [,2]
[1,]    1    4
[2,]    2    5
[3,]    3    6

A walk around would be to create an empty matrix and fill in with a for loop, but it would be great to avoid this and find something more efficient.

Thank you for any answer, I am trying to learn R from scratch using my knowledge in python!

CodePudding user response：

Do you mean by?

data.matrix(sapply(df, as.numeric))

Without column names:

unname(data.matrix(sapply(df, as.numeric)))