Let's say I were to execute a regression model in R:
library(data.table)
mtcars = as.data.table(mtcars)
dt = colSums(mtcars)
> dt
     mpg      cyl     disp       hp     drat       wt     qsec       vs 
 642.900  198.000 7383.100 4694.000  115.090  102.952  571.160   14.000 
      am     gear     carb 
  13.000  118.000   90.000 
model = lm(formula=mpg~cyl, data=dt)
The way I would plot the coefficients of this model would be to use the following function, from Extract regression coefficient values
:
plot_coeffs <- function(mlr_model) {
  coeffs <- coefficients(mlr_model)
  mp <- barplot(coeffs, col="#3F97D0", xaxt='n', main="Regression Coefficients")
  lablist <- names(coeffs)
  text(mp, par("usr")[3], labels = lablist, srt = 45, adj = c(1.1,1.1), xpd = TRUE, cex=0.6)
}
plot_coeffs(model)
However, this plot will not plot the coefficients in a sorted manner, e.g. greatest to least in descending order.
I have tried using order(coeffs) in the above function, but this doesn't seem to work. How does one easily plot the coefficients in decreasing order? 
 
     
    