n_letter_words and a personal (publicly available) package

There’s a little R function that I wrote and packaged up to generate a vector or data frame of words of a given length. I find it useful in a wide variety of contexts and thought other might too. To kick off my new blog, here’s a post about it.

The function, n_letter_words, came about because I wanted to be able to generate row and column names for a large matrix - didn’t matter what they were, as long as they were unique. Since I was in the habit of using the built-in LETTERS vector to do this for small matrices, I naturally thought of using combinations of letters to do this in a larger case. In figuring out how to do this, as is so often the case, it was stackoverflow to the rescue. There, I learnt about expand.grid and could then use some tidyverse tools to get the vector I was after:

library(tidyverse)
out <- expand.grid(LETTERS, LETTERS) %>%
as_data_frame() %>%
unite(word, 1:2, sep = "") %>%
pull()
c(head(out), tail(out))
##  [1] "AA" "BA" "CA" "DA" "EA" "FA" "UZ" "VZ" "WZ" "XZ" "YZ" "ZZ"

Sorted! At least I thought so, until, a couple of months later, when I wanted to generate names for a 1000*1000 matrix, and realised both that I’d forgotten the expand.grid trick, and once I’d re-found the stackoverflow post, that it didn’t give me enough words. That was enough to make it worth writing a function, taking n as an argument, that gives all ‘words’ of length $n$.

Writing functions always makes me think of what other arguments might be useful. What if we want something between the 676 two-letter words and 17,576 three-letter words (or the 456,976 four-letter words, etc)? Hence the argument num_letters, which can be set between 1 and 26, and results in a total of $\text{num_letters}^n$ words. By default, the function returns a tibble, but setting as_vector = TRUE does what you’d expect. And I threw in a case argument too.

Now that I had my function, what to do with it? I remembered articles I’d read about the usefulness of making and sharing a personal package. Now seemed like the time to do that myself.

So, here is my personal package, EMK. If you think that n_letter_words might be of use to you, then feel free to install!

devtools::install_github("EllaKaye/EMK")
library(EMK)

Some examples of n_letter_words:

n_letter_words(2)
## # A tibble: 676 x 1
##    word
##    <chr>
##  1 AA
##  2 BA
##  3 CA
##  4 DA
##  5 EA
##  6 FA
##  7 GA
##  8 HA
##  9 IA
## 10 JA
## # ... with 666 more rows
some_three_letter_words <- n_letter_words(3, num_letters = 10, case = "lower", as_vector = TRUE)
c(head(some_three_letter_words), tail(some_three_letter_words))
##  [1] "aaa" "baa" "caa" "daa" "eaa" "faa" "ejj" "fjj" "gjj" "hjj" "ijj"
## [12] "jjj"
length(some_three_letter_words)
## [1] 1000

For now, my personal package has only this one function, but watch this space! No doubt I’ll be adding more that I find useful. Perhaps, you’ll find them useful too.

Incidentally, none of the above would have happened if I’d just thought, for my test matrix A, to set dimnames(A) <- list(1:nrow(A), 1:ncol(A))!