# colors =======================================================================
light_grey <- "grey85"
dark_grey <- "grey75"
pal_cc <- RColorBrewer::brewer.pal(9, "YlOrRd")[-1]
pal_age <- RColorBrewer::brewer.pal(9, "BuPu")[-(1:2)]
pal_4 <- RColorBrewer::brewer.pal(4, "Set2") %>% purrr::set_names(c("dominant_species", "crown_cover", "age_class", "full"))
# plot =========================================================================
theme_pub <- function(base_size = 14, base_family = "", ...){
axis_line_size = 1
axis_line_colour = "#222222"
modifyList(theme_bw(base_size = base_size, base_family = base_family),
list(
# remove background grid
panel.grid.major = element_line(colour = NA),
panel.grid.minor = element_line(colour = NA),
strip.background = element_rect(colour = NA),
# remove facet label background
legend.key = element_rect(colour = NA),
# axis.text.x=theme_text(size = base_size),
# axis.text.y=theme_text(size = base_size),
# axis.title.x=theme_text(size = base_size),
# axis.title.y=theme_text(size = base_size, angle = 90),
# plot.margin = unit(0.1 * c(-1, 1, 1, -1), "lines")
#axis.line = element_blank(),
# panel.background = theme_rect(size = axis_line_size, colour = NA),
# axis.ticks = element_line(colour = axis_line_colour) #,
# plot.title = theme_text(size = base_size + 4, hjust = 0.01, vjust = -2, face = 'bold')
# avoid accidental coma
NULL
))
}
# move title :
# + opts(title = 'Graph Title', plot.title = theme_text(colour = 'red', angle = 45, size = 10,hjust = 0.5, vjust = 0.5, face = 'bold'))
# renamer ======================================================================
dm_apply <- function(x, dm, as.factor. = FALSE){
if(! all(as.character(x) %in% names(unlist(dm)))) {
missing_values <- unique(x[which(!as.character(x) %in% names(unlist(dm)))])
stop(paste("Missing values in domain: ", paste(missing_values, collapse = ", ")))
}
y <- sapply(as.character(x), function(xx) dm[[xx]])
if(as.factor.) y <- as.factor(y)
return(y)
}
# species domain
dm_sp <- {
# this list was adapted from MRN documentation (data/mrn/essence_naipf)
l <- list()
l["BJ"] = "yellow birch" # betula aleghaniensis
l["BP"] = "paper birch" # betula papyrifera
l["EB"] = "white spruce" # picea glauca
l["EN"] = "black spruce" # picea mariana
l["EP"] = "spruce" # spruce spp.
l["ER"] = "maple" # acer spp.
l["ES"] = "sugar maple" # acer saccharum
l["EO"] = "red maple" # acer rubrum
l["EV"] = "picea abies" # picea abies
l["FI"] = "shade intolerant deciduous"
l["FN"] = "non commercial deciduous"
l["FX"] = "unidentified deciduous"
l["FZ"] = "unidentified planted deciduous"
l["ML"] = "tamarack larch" # larix laricina
l["MH"] = "hybrid larch" # larix laricina
l["PE"] = "aspen" # Populus spp.
l["PG"] = "Jack pine" # pinus Banksiana
l["PR"] = "red pine" # pinus resinosa
l["RX"] = "unidentified conifer"
l["RZ"] = "planted unidentified conifer"
l["SB"] = "balsam fir" # abies balsamea
l["SE"] = "white spruce and balsam fir group"
l["TO"] = "thuya occidentalis"
l[" "] = NA
l
}
# fda generate
get_type <- function(data, type, id = c("pee_no_acq")){
f <- grep(type, names(data), value = TRUE)
x <- data[, c(id, f)]
}
wrapper <- function(x, ...) {
paste(strwrap(x, ...), collapse = "\n")
}
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