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#' Rename and reorder columns (I)
#' @description This function reorders columns and appends numeric suffixes. Don“t run it. It is an internal function.
#' @usage get_renamed0_df (df)
#' @param df internal data frame derived from [get_real_depths()] function
#' @return No return value. The function is called for side effects.
#' @examples
#' library(dplyr)
#' # get_renamed0_df function reorders columns and appends numeric suffixes
#' @importFrom dplyr select_if group_by summarise summarize mutate arrange rename rename_with filter slice slice_tail ungroup distinct
#' across matches row_number all_of vars
#' @importFrom stringr str_extract str_match str_detect
#' @export
get_renamed0_df <- function(df) {
df1 <- df %>%
dplyr::select_if(~!all(is.na(.) | . == 0))
# Exclude columns with prefixes: last_, max_, treeID
cols_to_exclude <- grep("^(last_|max_|treeID)", names(df1), value = TRUE)
df1 <- df1[ , !(names(df1) %in% cols_to_exclude)]
# Extract unique prefixes
prefixes <- unique(gsub("([a-zA-Z]+).*", "\\1", names(df1)))
# Rename the columns based on the extracted prefixes
for (prefix in prefixes) {
# Identify columns with the current prefix
cols <- grep(paste0("^", prefix), names(df1))
# Generate new column names with consecutive suffixes
new_names <- paste0(prefix, 1:length(cols))
# Assign new names to the columns
names(df1)[cols] <- new_names
}
# Select columns with prefixes: last_, max_, treeID
cols_to_append <- grep("^(last_|max_|treeID)", names(df1), value = TRUE)
append_df <- df1[ , cols_to_append]
# Append the columns to df1
df1 <- cbind(df1, append_df)
return(df1)
}
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