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How do you calculate weighted average in R?
Weighted mean is the average which is determined by finding the sum of the products of weights and the values then dividing this sum by the sum of total weights. If the weights are in proportion then the total sum of the weights should be 1.
How do you calculate monthly weighted average?
The formula for finding the weighted average is the sum of all the variables multiplied by their weight, then divided by the sum of the weights. The weighted average of the time you spent working out for the month is 20.9 minutes.
How do you do a rolling average in R?
Calculating rolling averages To calculate a simple moving average (over 7 days), we can use the rollmean() function from the zoo package. This function takes a k , which is an ‘integer width of the rolling window. The code below calculates a 3, 5, 7, 15, and 21-day rolling average for the deaths from COVID in the US.
How do I calculate a rolling average?
Add the monthly data for the next consecutive 12-month period, and divide your result by 12 to calculate the third rolling average. Repeat the same calculation for each subsequent 12-month period to calculate the remaining rolling averages.
How to calculate a weighted mean in R?
The weighted average is (10 * 1 + 2 * 3) / 4 = 4. Seems like you already know how to calculate this, just need a nudge in the right direction to implement it. Since R is vectorized, this is pretty simple: Or use the built in function weighted.mean () as you also pointed out.
How to use aggregate to compute monthly weighted average?
With aggregate () it is not possible, because your weight vector is not partitionated during aggregate (). You can use by () or split () plus sapply () or additional package data.table or function ddply () from package plyr or functions from the package dplyr
How to find the weighted mean of a subgroup?
Often we are only interested to know the weighted mean for a subgroup of our data. Consider the following example data: Table 1: Example Data with Numeric Column, Weights & Group Indicator. To compute the weighted mean by group we can use the functions of the dplyr package.