Function for accessing regression output

I just wrote this function for personal use only while working on a specific data project. I would be grateful for any feedback!

get.coef1 <- function(x) {
  x <- as.character(x)
  m.names <- paste("fit", x, letters[1:3], sep="")
  models3 <- matrix(numeric(12L), 3, 4)
  for (i in 1:3) {
    models3[i, ] <- summary(get(m.names[i]))$coefficients[2,]
  }
  return(models3)
}

Data to reproduce function above:

x <- rnorm(100)
y <- x^2/4
z <- rnorm(100)+y/100
w <- rnorm(100)

Edit1:
And three fitted regressions:

fit3a <- lm(y ~ x)
fit3b <- lm(y ~ x + z)
fit3c <- lm(y ~ x + z + w)

Whose coefficients on x I want to access viaget.coef1(3).

Your function has several problematic assumptions for the object names in the environment (get()) and the number of objects (fixed length in the for loop).

In base R it would be more idiomatic and flexible to use some function from the *apply family, which operate on a list of objects, e.g.

do.call(rbind, lapply(list(fit3a, fit3b, fit3c),
                      function(x) summary(x)$coefficients["x", ]))
     Estimate Std. Error t value Pr(>|t|)
[1,]  0.01512    0.02927  0.5164   0.6067
[2,]  0.01530    0.02985  0.5127   0.6093
[3,]  0.01732    0.02899  0.5975   0.5516

t(sapply(list(fit3a, fit3b, fit3c),
         function(x) summary(x)$coefficients["x", ]))
     Estimate Std. Error t value Pr(>|t|)
[1,]  0.01512    0.02927  0.5164   0.6067
[2,]  0.01530    0.02985  0.5127   0.6093
[3,]  0.01732    0.02899  0.5975   0.5516

Output of get.coef1(3) (with set.seed(1)):

[,1]    [,2]   [,3]   [,4]
[1,] 0.01512 0.02927 0.5164 0.6067
[2,] 0.01530 0.02985 0.5127 0.6093
[3,] 0.01732 0.02899 0.5975 0.5516

StackExchange Code Review Q#138303, answer score: 3