Looking to add a new blueprint inspired theme.

Just some quick thoughts/ideas

Need to see if I can add a default color or texture to bars and lines.

Should the grid go above the plot?

What's a good title font that can be bundled?
Something like https://www.fontspace.com/architect-font-f6113 for labels?

Hi, I've just updated R to the newest version (4.0.3)

I am not abel to install the delabj package anymore. Are there issues witht he new version that prevent me to do so, or am I such a noob?

That is the error I am getting:

``* installing source package 'delabj' ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
Error : (contertito da avviso) C:/Users/Filippo/AppData/Local/Temp/RtmpYjpHth/R.INSTALL35a453877eb3/delabj/man/operators.Rd: \name should not contain !, | or @
ERROR: installing Rd objects failed for package 'delabj'

• removing 'C:/Users/Filippo/Documents/R/win-library/4.0/delabj'
  Errore: Failed to install 'delabj' from GitHub:
  (contertito da avviso) installation of package ‘C:/Users/Filippo/AppData/Local/Temp/RtmpwJRmsZ/file431cd3e5cbd/delabj_0.1.0.tar.gz’ had non-zero exit status``

Hi there,

I saw your post for #TidyTuesday and I was trying to re-run your code from Month 6 I'm curious on how I would go about installing some of your custom functions such as delabj::scale_color_delabj()

When I try running

install_github("delabj/delabj")

I keep getting errors. Sorry for the noob level question. Just really interested in your work.

Cheers

Had an idea for a function that wraps dplyr::filter()

This would take a conditional argument to determine if a filter should be applied.

something like this:

cyls_below_8 <- TRUE
filter_if(.data = mtcars, .test = cyls_below_8, cyl < 8)

code would likely look something like this with a check if .test is a logical value

filter_if <- function(.data, .test, ...){
    if(test == FALSE){return(.data)}
    dplyr::filter(.data, ...)
}

Not sure of the name/argument conventions but I don't love that dplyr::na_if() doesn't support multiple values. So a function like this might be helpful

na_if_mulitple <- function(.x, .to_na){
    replace(.x, .x %in% .to_na, NA)
}