#' Trans field map to row and column: row, col, cultivar
#'
#' @param fild_map pedigree
#' @example
#' dat = data.frame(V1 = paste0("a",1:10), V2 = paste0("b",1:10), V3 = paste0("c",1:10))
#' dat
#' dat1 = field_map_2_row_column(dat)
#' dat1
#' row_column_2_field_map(dat1)
row_column_2_field_map = function(row_col_cul){
# 函数说明
## field_map, 是田间种植图
## test
## 把行号,变为正序
require(tidyverse)
dat2 = row_col_cul
names(dat2) = c("row","col","value")
# 找到矩阵的维度
n_rows <- max(dat2$row) # 确定行数
n_cols <- max(dat2$col) # 确定列数
# 初始化一个零矩阵
matrix_data <- matrix(0, nrow = n_rows, ncol = n_cols)
# 将三元组填充到矩阵中
for (i in 1:nrow(dat2)) {
matrix_data[dat2$row[i], dat2$col[i]] <- dat2$value[i]
}
re_mat = matrix_data[nrow(matrix_data):1,] %>% as.data.frame()
return(re_mat)
}
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