#' Plot sample records by depth of collection
#'
#' @description
#' This function produces a barplot of FORCIS sample records by depth.
#'
#' @param data a `data.frame`, i.e. a FORCIS dataset.
#'
#' @return A `ggplot` object.
#'
#' @export
#'
#' @examples
#' # Attach the package ----
#' library("forcis")
#'
#' # Import example dataset ----
#' file_name <- system.file(file.path("extdata", "FORCIS_net_sample.csv"),
#' package = "forcis")
#'
#' net_data <- read.table(file_name, dec = ".", sep = ";")
#'
#' # Add 'data_type' column ----
#' net_data$"data_type" <- "Net"
#'
#' # Plot data by year (example dataset) ----
#' plot_record_by_depth(net_data)
plot_record_by_depth <- function(data) {
## Check data object ----
check_if_df(data)
if (get_data_type(data) != "Net") {
stop("This function is designed to work only with Net data", call. = FALSE)
}
check_field_in_data(data, "sample_id")
check_field_in_data(data, "sample_min_depth")
check_field_in_data(data, "sample_max_depth")
## Prepare data ----
data <- data %>%
select(.data$sample_id, .data$sample_min_depth, .data$sample_max_depth) %>%
mutate(sampling_interval = ifelse(
is.na(.data$sample_min_depth), 'Unknown',
ifelse(.data$sample_min_depth <=5, 'from Surface',
ifelse(.data$sample_min_depth <= 100, 'from first 100m',
ifelse(.data$sample_min_depth > 100 &
.data$sample_min_depth <= 300, 'from 100m-300m',
ifelse(.data$sample_min_depth > 300 &
.data$sample_min_depth <= 500, 'from 300m-500m',
ifelse(.data$sample_min_depth >= 500, 'from below 500m', NA))))))) %>%
select(-c(.data$sample_min_depth, .data$sample_max_depth)) %>%
distinct() %>%
group_by(.data$sampling_interval) %>%
count() %>%
ungroup()
data$"sampling_interval" <- factor(data$"sampling_interval",
levels = c('Unknown',
'from below 500m',
'from 300m-500m',
'from 100m-300m',
'from first 100m',
'from Surface'))
ggplot(data,
aes(.data$sampling_interval, .data$n)) +
geom_col(width = 0.7, col = "black") +
xlab("Sampling interval") +
ylab("Number of FORCIS samples") +
coord_flip() +
theme_classic()
}
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