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tarpuy_plotdesign.R
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tarpuy_plotdesign.R
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#' Fieldbook plot experimental designs
#'
#' Plot fieldbook sketch designs based in experimental design
#'
#' @param data Experimental design data frame with the factors and level. See
#' examples.
#' @param factor Vector with the name of the columns with the factors.
#' @param fill Value for fill the experimental units (default = "plots").
#' @param xlab Title for x axis.
#' @param ylab Title for y axis.
#' @param glab Title for group axis.
#'
#' @details The function allows to plot the experimental design according the
#' field experiment design.
#'
#' @return plot
#'
#' @import dplyr
#' @importFrom purrr pluck as_vector
#' @importFrom stringr str_detect
#' @importFrom tibble tibble
#' @importFrom utils tail
#' @importFrom purrr discard
#'
#' @export
#'
#' @examples
#'
#' \dontrun{
#'
#' library(inti)
#' library(gsheet)
#'
#' url <- paste0("https://docs.google.com/spreadsheets/d/"
#' , "1_BVzChX_-lzXhB7HAm6FeSrwq9iKfZ39_Sl8NFC6k7U/edit#gid=1834109539")
#' # browseURL(url)
#'
#' fb <- gsheet2tbl(url)
#'
#' dsg <- fb %>% tarpuy_design()
#'
#' dsg
#'
#' dsg %>% str()
#'
#' dsg %>%
#' tarpuy_plotdesign()
#'
#' }
tarpuy_plotdesign <- function(data
, factor = NA
, fill = "plots"
, xlab = NULL
, ylab = NULL
, glab = NULL
) {
# -------------------------------------------------------------------------
# data <- fb dsg <- sketch
# factor <- "rows"
# data <- fb
# xlab <- ylab <- glab <- NULL
# factor <- "geno"
# -------------------------------------------------------------------------
if( is.data.frame(data) ) {
design <- data %>% list() %>% purrr::pluck(1)
param <- NULL
factor <- if(is.na(factor) | is.null(factor)) { names(design)[3] } else {factor}
lengthfactor <- nlevels(as.factor(design[[factor]]))
nrow <- design$rows %>% unique() %>% length()
ncol <- design$cols %>% unique() %>% length()
} else if ( length(data) > 1 ) {
design <- data %>% purrr::pluck(1)
param <- data %>% purrr::pluck(2)
factor <- if(is.na(factor) | is.null(factor)) { param$factornames[1] }
lengthfactor <- length(param$factors[[factor]])
nrow <- param$dim[1]
ncol <- param$dim[2]
}
# plot --------------------------------------------------------------------
color_grps <- colorRampPalette(
c("#86CD80" # green
, "#F4CB8C" # orange
, "#F3BB00" # yellow
, "#0198CD" # blue
, "#FE6673" # red
))(lengthfactor)
# -------------------------------------------------------------------------
if (is.null(xlab)) { xlab <- "columns" }
if (is.null(ylab)) { ylab <- "row" }
if (is.null(glab)) { glab <- factor }
# -------------------------------------------------------------------------
legend <- if(nlevels(as.factor(design[[factor]])) > 20) "none" else "top"
plot <- design %>%
arrange(.data$rows, .data$cols) %>%
ggplot(aes(x = .data$cols, y = .data$rows, fill = as.factor(.data[[factor]]))) +
geom_tile(color = "black", linewidth = 0.5) +
geom_text(aes(label = .data[[fill]])) +
scale_y_continuous(expand = c(0, 0), trans = 'reverse', breaks = 1:nrow) +
scale_x_continuous(expand = c(0, 0), breaks = 1:ncol) +
scale_fill_manual(values = color_grps) +
labs(x = xlab, y = ylab, fill = glab) +
theme_bw() +
theme(legend.position = legend)
return(plot)
}