How can I calculated the weighted mean in the qwraps2 library in R?

I am using the qwraps2 library to produce a summary table. When writing my list of summary statistics, I have:

summary1 <-
  list("Wage" =
         list("min"       = ~ min(WAGE),
              "max"       = ~ max(WAGE),
              "mean (sd)" = ~ qwraps2::mean_sd(WAGE)))

which is the standard set-up from the manual. However, I would like to calculate the weighted mean and then the standard deviation. Is there a way to do this is qwraps2 or with another command/ library?

EDIT

Suppose following dataframe of 5 people, their hourly wage, and their weight in the dataset (for sampling purposes, since I am working with CPS data).

library(qwraps2)

person <- c(1, 2, 3, 4, 5)
wage <- c(20, 25, 30, 35, 40)
weight <- c(1, 1.5, 2, 2.5, 3)

dfa <- as.data.frame(cbind(person, wage, weight))
dfa

The arithmetic mean (calculated in qwraps2) is 30: arithmetic mean

The weighted mean (which is what I want to calculate in summary1 is 32.5: weighted mean

summary1 <-
  list("Wage" =
         list("min"       = ~ min(wage),
              "max"       = ~ max(wage),
              "mean (sd)" = ~ qwraps2::mean_sd(wage)))

output <-summary_table(dfa, summary1)
output

Here, the output for the mean is 30 (using qwraps2), which is the arithmetic mean. However, I want the output to be the weighted mean of 32. I hope this helps!

Solution

There is a base R weighted.mean which does give the output as expected

summary1 <-
  list("Wage" =
         list("min"       = ~ min(WAGE),
              "max"       = ~ max(WAGE),
             "mean (sd)" = ~ weighted.mean(WAGE, weight)))
output <- summary_table(dfa, summary1)
output

\begin{tabular}{l|l}
\hline
 & dfa (N = 5)\\
\hline
\bf{Wage} & ~\\
\hline
~~ min & 20\\
\hline
~~ max & 40\\
\hline
~~ mean (sd) & 32.5\\
\hline
\end{tabular}