how to append an element to a list without keeping track of the index?

There is a function called append:

ans <- list()
for (i in 1992:1994){
n <- 1 #whatever the function is
ans <- append(ans, n)
}

  ans
## [[1]]
## [1] 1
## 
## [[2]]
## [1] 1
## 
## [[3]]
## [1] 1
## 

Note: Using apply functions instead of a for loop is better (not necessarily faster) but it depends on the actual purpose of your loop.

Answering OP's comment: About using ggplot2 and saving plots to a list, something like this would be more efficient:

plotlist <- lapply(seq(2,4), function(i) {
            require(ggplot2)
            dat <- mtcars[mtcars$cyl == 2 * i,]
            ggplot() + geom_point(data = dat ,aes(x=cyl,y=mpg))
})

Thanks to @Wen for sharing Comparison of c() and append() functions:

Concatenation (c) is pretty fast, but append is even faster and therefor preferable when concatenating just two vectors.

mylist <- list()
for (i in 1:100){
  n <- 1
  mylist[[(length(mylist) +1)]] <- n
}

This seems to me the faster solution.

x <- 1:1000

aa <- microbenchmark({xx <- list(); for(i in x) {xx <- append(xx, values = i)} }) 
bb <- microbenchmark({xx <- list(); for(i in x) {xx <- c(xx, i)} } )
cc <- microbenchmark({xx <- list(); for(i in x) {xx[(length(xx) + 1)] <- i} } )

sapply(list(aa, bb, cc), (function(i){ median(i[["time"]]) / 10e5 }))
#{append}=4.466634 #{c}=3.185096 #{this.one}=2.925718

mylist <- list()
for (i in 1:100) {
     df <- 1
     mylist <- c(mylist, df)
}

There is: mylist <- c(mylist, df) but that's usually not the recommended way in R. Depending on what you're trying to achieve, lapply() is often a better option.