I'm creating a custom function in R that takes as input a few different variables and creates a data.frame, a plot, and some summary stats, all stored in a list. I'd like to only print out the summary stats when calling the function, but have the plot and data.frame available when called explicitly.
I think what I want is similar to how lm()
operates but I'm not sure how it is acheiving that.
When I print the object returned by lm
I only get a printout of $call
and $coefficients
:
lm(mtcars$mpg ~ mtcars$cyl)
Call:
lm(formula = mtcars$mpg ~ mtcars$cyl)
Coefficients:
(Intercept) mtcars$cyl
37.885 -2.876
But clearly behind the scenes there is much more available in the function call to lm
.
lm(mtcars$mpg[1:3] ~ mtcars$cyl[1:3])$residuals
1 2 3
-1.280530e-15 1.280530e-15 8.365277e-31
> unclass(lm(mtcars$mpg[1:3] ~ mtcars$cyl[1:3])
Call:
lm(formula = mtcars$mpg[1:3] ~ mtcars$cyl[1:3])
Coefficients:
(Intercept) mtcars$cyl[1:3]
26.4 -0.9
> unclass(lm(mtcars$mpg[1:3] ~ mtcars$cyl[1:3]))
$coefficients
(Intercept) mtcars$cyl[1:3]
26.4 -0.9
$residuals
1 2 3
-1.280530e-15 1.280530e-15 8.365277e-31
$effects
(Intercept) mtcars$cyl[1:3]
-3.741230e+01 1.469694e+00 1.810943e-15
....
$call
lm(formula = mtcars$mpg[1:3] ~ mtcars$cyl[1:3])
$model
mtcars$mpg[1:3] mtcars$cyl[1:3]
1 21.0 6
2 21.0 6
3 22.8 4
I looked at the code for lm but it's not very clear to me what is going on.