Adapted from Hadley Whickam's 'Advanced R' and this Stack Overflow question
As more Grattan staff make the noble switch from STATA to R, our work is more rigorously scrutinised, and we do more QC-ing of other's R code it is worth adapting a single style.
As Hadley says, "Good style is important because while your code only has one author, it'll usually have multiple readers. This is especially true when you're writing code with others. In that case, it's a good idea to agree on a common style up-front. Since no style is strictly better than another, working with others may mean that you'll need to sacrifice some preferred aspects of your style."
The formatr package, by Yihui Xie, makes it easier to clean up poorly formatted code. It can't do everything, but it can quickly get your code from terrible to pretty good. Make sure to read the notes on the wiki before using it.
File names should be meaningful and end in .R
.
# Good
fit-models.R
utility-functions.R
# Bad
foo.r
stuff.r
If files need to be run in sequence, prefix them with numbers:
1-load.R
2-clean.R
3-do.R
Variable and function names should be lowercase. Use an underscore (_
) to separate words within a name. Generally, variable names should be nouns and function names should be verbs. Strive for names that are concise and meaningful (this is not easy!).
# Good
day_one
day_1
# Bad
first_day_of_the_month
DayOne
dayone
djm1
Where possible, avoid using names of existing functions and variables. This will cause confusion for the readers of your code.
# Bad
T <- FALSE
c <- 10
mean <- function(x) sum(x)
Place spaces around all infix operators (=
, +
, -
, <-
, etc.). The same rule applies when using =
in function calls. Always put a space after a comma, and never before (just like in regular English).
# Good
average <- mean(feet / 12 + inches, na.rm = TRUE)
# Bad
average<-mean(feet/12+inches,na.rm=TRUE)
There's a small exception to this rule: :
, ::
and :::
don't need spaces around them.
# Good
x <- 1:10
base::get
# Bad
x <- 1 : 10
base :: get
Place a space before left parentheses, except in a function call.
# Good
if (debug) do(x)
plot(x, y)
# Bad
if(debug)do(x)
plot (x, y)
Extra spacing (i.e., more than one space in a row) is ok if it improves alignment of equal signs or assignments (<-
).
list(
total = a + b + c,
mean = (a + b + c) / n
)
Do not place spaces around code in parentheses or square brackets (unless there's a comma, in which case see above).
# Good
if (debug) do(x)
diamonds[5, ]
# Bad
if ( debug ) do(x) # No spaces around debug
x[1,] # Needs a space after the comma
x[1 ,] # Space goes after comma not before
An opening curly brace should never go on its own line and should always be followed by a new line. A closing curly brace should always go on its own line, unless it's followed by else
.
Always indent the code inside curly braces.
# Good
if (y < 0 && debug) {
message("Y is negative")
}
if (y == 0) {
log(x)
} else {
y ^ x
}
# Bad
if (y < 0 && debug)
message("Y is negative")
if (y == 0) {
log(x)
}
else {
y ^ x
}
It's OK to leave very short statements on the same line:
if (y < 0 && debug) message("Y is negative")
Strive to limit your code to 80 characters per line. This fits comfortably on a printed page with a reasonably sized font. If you find yourself running out of room, this is a good indication that you should encapsulate some of the work in a separate function. If you are sharing your code you should not use the automatic 'line wrapper'.
When indenting your code, use two spaces. Never use tabs or mix tabs and spaces.
The only exception is if a function definition runs over multiple lines. In that case, indent the second line to where the definition starts:
long_function_name <- function(a = "a long argument",
b = "another argument",
c = "another long argument") {
# As usual code is indented by two spaces.
}
Use <-
, not =
, for assignment.
# Good
x <- 5
# Bad
x = 5
Comment your code. Each line of a comment should begin with the comment symbol and a single space: #
. Comments should explain the why, not the what.
Use commented lines of -
and =
to break up your file into easily readable chunks.
# Load data ---------------------------
# Plot data ---------------------------