Nothing
colnameClean <- function(data) {
names <- colnames(data) %>%
stringr::str_trim() %>%
stringr::str_to_lower() %>%
stringr::str_replace_all("[.]", " ") %>%
stringr::str_replace_all("[ ]", "_") %>%
stringr::str_replace_all("__", "_")
names <- colnameSynonym(names, "petiole_metric", c("pwa", "pw^2/a"))
names <- colnameSynonym(names, "leaf_area", c("la"))
names <- colnameSynonym(names, "petiole_width", c("pw"))
names <- colnameSynonym(names, "internal_raw_blade_area", c("raw_internal_blade_area"))
names <- colnameSynonym(names, "internal_raw_blade_perimeter", c("raw_internal_blade_perimeter"))
names <- colnameSynonym(names, "no_of_primary_teeth", c("no_primary_teeth", "number_primary_teeth", "number_of_primary_teeth", "#primary_teeth", "#_of_primary_teeth"))
names <- colnameSynonym(names, "no_of_subsidiary_teeth", c(
"no_subsidiary_teeth", "number_subsidiary_teeth", "number_of_subsidiary_teeth", "#subsidiary_teeth", "#_of_subsidiary_teeth",
"no_secondary_teeth", "number_secondary_teeth", "number_of_secondary_teeth", "#secondary_teeth", "#_of_secondary_teeth",
"no_of_secondary_teeth"
))
names <- colnameSynonym(names, "feret", c("feret_diameter"))
names <- colnameSynonym(names, "margin", c("Margin (0 - Toothed; 1 - Untoothed)"))
return(names)
}
colnameSynonym <- function(data, name, synonyms) {
for (i in 1:length(synonyms)) {
index <- which(data == tolower(synonyms[i]))
data[index] <- name
}
return(data)
}
grab_regression <- function(name, type) {
if (type == "temp") {
index <- which(names(temp_regressions) == name)
if (length(index) == 0) {
stop(paste("Regression ", name, "does not exist. Check for typos or provide parameters manually"))
} else {
return(temp_regressions[[index]])
}
}
if (type == "precip") {
index <- which(names(precip_regressions) == name)
if (length(index) == 0) {
stop(paste("Regression ", name, "does not exist. Check for typos or provide parameters manually"))
} else {
return(precip_regressions[[index]])
}
}
if (type == "dilp") {
index <- which(names(dilp_parameters) == name)
if (length(index) == 0) {
stop(paste("DiLP parameter set ", name, "does not exist. Check for typos or provide parameters manually"))
} else {
return(dilp_parameters[[index]])
}
}
}
#' View preloaded regressions
#'
#' @param type Must be either "dilp", "lma", temp", or "precip".
#'
#' @return A data frame containing the parameters for each available regression of the selected type.
#' @export
#'
#' @examples
#' view_regressions("dilp")
view_regressions <- function(type) {
if (type == "temp") {
list <- temp_regressions
}
if (type == "precip") {
list <- precip_regressions
}
if (type == "dilp") {
list <- dilp_parameters
}
if (type == "lma") {
list <- lma_regressions
}
regressions <- data.frame()
for (i in list) {
regressions <- regressions %>%
dplyr::bind_rows(as.data.frame(i))
}
regressions <- regressions %>%
dplyr::mutate("Name" = names(list), .before = 1)
return(regressions)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.