Nothing
.sb_invert <- function(hex_color, dark_color="black", light_color="white",
na_color="white") {
hex_color <- gsub("#", "", hex_color)
R <- suppressWarnings(as.integer(paste("0x", substr(hex_color,1,2), sep="")))
G <- suppressWarnings(as.integer(paste("0x", substr(hex_color,3,4), sep="")))
B <- suppressWarnings(as.integer(paste("0x", substr(hex_color,5,6), sep="")))
YIQ <- ((R*299) + (G*587) + (B*114)) / 1000
return(
ifelse(is.na(YIQ), na_color,
ifelse(
YIQ >= 128, dark_color, light_color)
)
)
}
# Merge user data with grid data
mergeGridAndData <- function(facet_data, grid_data, facet_col, merge_grid) {
names(grid_data)[names(grid_data) == "row"] <- "y"
names(grid_data)[names(grid_data) == "col"] <- "x"
# Determine merge.grid based on merge_grid argument
if (merge_grid %in% colnames(grid_data)) {
merge.grid <- merge_grid
} else {
stop("Specified merge_grid column not found in grid_data.")
}
merged_data <- merge(grid_data, facet_data,
by.x = merge.grid, by.y = facet_col, all.x = TRUE, all.y = FALSE, sort = TRUE)
merged_data
}
# sanity checks for facet values
validate_facets <- function(facet_data, grid_data, facet_col, merge.grid, ignore_dups=FALSE) {
good_facets <- facet_data[,facet_col] %in% grid_data[,merge.grid]
if (any(!good_facets)) {
message("Data contains facets that are not in the grid. Consider checking dataset.")
}
if (!ignore_dups) {
dups <- duplicated(facet_data[,facet_col])
if (any(dups)) {
facet_data <- facet_data[which(!dups),]
message("Removing duplicate facet rows.")
}
}
return(facet_data)
}
"%||%" <- function(a, b) { if (!is.null(a)) a else b }
.pt <- 2.84527559055118
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