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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.
959
Calculate the mean of rows of a data frame in R To create a data frame in R, use the data. frame() function. To calculate the mean of rows of the data frame, use the rowMeans() function.
To calculate the average of a data frame column in R, use the mean() function. The mean() function takes the column name as an argument and calculates the mean value of that column.
Often you may want to calculate the mean of multiple columns in R. Fortunately you can easily do this by using the colMeans() function.
Often you may want to calculate the mean of multiple columns in R. Fortunately you can easily do this by using the colMeans () function. The following examples show how to use this function in practice. The following code shows how to use the colMeans () function to find the mean of every column in a data frame:
colMeans () function in R Language is used to compute the mean of each column of a matrix or array. dims: integer value, which dimensions are regarded as ‘columns’ to sum over.
Matrices are two-dimensional, homogeneous data-structures in R. They have rows and columns and they can store data of only a single type. In this tutorial, we learned about matrices and matrix functions in R.
The mean () function returns the mean of all the elements of the matrix. For example: Matrices are two-dimensional, homogeneous data-structures in R. They have rows and columns and they can store data of only a single type. In this tutorial, we learned about matrices and matrix functions in R.
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 If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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