how to compute weighted average in r in r

To compute a weighted average in R, you can use the weighted.mean() function, which takes two arguments: x for the values you want to compute the weighted average for, and w for the weights of each value.

Here is an example of how to use weighted.mean():

main.r
# create two vectors for example values and weights
values <- c(2, 4, 6, 8, 10)
weights <- c(1, 2, 3, 4, 5)

# compute the weighted average using the weighted.mean() function
weighted.mean(values, weights)
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This will return the weighted average of the values vector using the weights vector, which is 6.9.

You can also specify the na.rm argument to remove any NA values before computing the weighted average:

main.r
# add an NA value to the values vector
values <- c(2, 4, 6, 8, NA, 10)

# compute the weighted average without removing NAs (returns NA)
weighted.mean(values, weights)

# compute the weighted average with NA values removed
weighted.mean(values, weights, na.rm = TRUE)
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