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#' Thennarasu's stability statistics
#' @description
#' `r badge('stable')`
#'
#' Performs a stability analysis based on Thennarasu (1995) statistics.
#'
#' @param .data The dataset containing the columns related to Environments,
#' Genotypes, replication/block and response variable(s).
#' @param env The name of the column that contains the levels of the
#' environments.
#' @param gen The name of the column that contains the levels of the genotypes.
#' @param resp The response variable(s). To analyze multiple variables in a
#' single procedure use, for example, `resp = c(var1, var2, var3)`.
#' @param verbose Logical argument. If `verbose = FALSE` the code will run
#' silently.
#' @return An object of class `Thennarasu`, which is a list containing the results
#' for each variable used in the argument `resp`. For each variable, a
#' tibble with the columns GEN, N1, N2, N3 and N4 is returned.
#' @md
#' @author Tiago Olivoto \email{tiagoolivoto@@gmail.com}
#' @references Thennarasu, K. 1995. On certain nonparametric procedures for
#' studying genotype x environment interactions and yield stability. Ph.D.
#' thesis. P.J. School, IARI, New Delhi, India.
#' @export
#' @examples
#' \donttest{
#' library(metan)
#' out <- Thennarasu(data_ge, ENV, GEN, GY)
#' print(out)
#' }
#'
Thennarasu <- function(.data, env, gen, resp, verbose = TRUE) {
factors <-
.data %>%
select({{env}}, {{gen}}) %>%
mutate(across(everything(), as.factor))
vars <-
.data %>%
select({{resp}}, -names(factors)) %>%
select_numeric_cols()
factors %<>% set_names("ENV", "GEN")
listres <- list()
nvar <- ncol(vars)
if (verbose == TRUE) {
pb <- progress(max = nvar, style = 4)
}
for (var in 1:nvar) {
data <- factors %>%
mutate(Y = vars[[var]])
if(has_na(data)){
data <- remove_rows_na(data)
has_text_in_num(data)
}
data %<>% make_mat(GEN, ENV, Y)
nr <- nrow(data)
nc <- ncol(data)
data_m <- as.matrix(data)
N4.1 <- matrix(NA, nr, nc)
N4 <- numeric()
k <- 2
data_r <- sweep(data_m, 1, rowMeans(data_m, na.rm = TRUE), FUN = "-")
ranks <- apply(-data_r, 2, rank)
ranks_y <- apply(-data_m, 2, rank)
r_means <- rowMeans(ranks, na.rm = TRUE)
r_means_y <- rowMeans(ranks_y, na.rm = TRUE)
N1 <- round(rowMeans(abs(sweep(ranks, 1, apply(ranks, 1, median, na.rm = TRUE))), na.rm = TRUE), 4)
N2 <- rowMeans(sweep(abs(sweep(ranks, 1, apply(ranks, 1, median, na.rm = TRUE))), 1, apply(ranks_y, 1, median, na.rm = TRUE), FUN = "/"))
N3 <- round(sqrt(rowSums((sweep(ranks, 1, apply(ranks, 1, mean, na.rm = TRUE))^2) / nc)) / (rowMeans(ranks_y, na.rm = TRUE)), digits = 4)
for (i in 1:nrow(data)) {
for (j in 1:(nc - 1)) {
N4.1[i, j] <- abs(ranks[i, j] - ranks[i, k])
while (k < nc) k <- k + 1
}
N4[i] <- round((2/(nc * (nc - 1))) * (sum((N4.1[i, j])/(mean(ranks_y[i, ])))), digits = 4)
}
temp <- tibble(GEN = rownames(data),
Y = apply(data, 1, mean, na.rm = TRUE),
Y_R = rank(-Y),
N1 = N1,
N1_R = rank(N1),
N2 = N2,
N2_R = rank(N2),
N3 = N3,
N3_R = rank(N3),
N4 = N4,
N4_R = rank(N4))
if (verbose == TRUE) {
run_progress(pb,
actual = var,
text = paste("Evaluating trait", names(vars[var])))
}
listres[[paste(names(vars[var]))]] <- temp
}
return(structure(listres, class = "Thennarasu"))
}
#' Print an object ofclass `Thennarasu`
#'
#' Print the `Thennarasu` object in two ways. By default, the results are
#' shown in the R console. The results can also be exported to the directory
#' into a *.txt file.
#'
#'
#' @param x An object of class `Thennarasu`.
#' @param export A logical argument. If `TRUE`, a *.txt file is exported to
#' the working directory.
#' @param file.name The name of the file if `export = TRUE`
#' @param digits The significant digits to be shown.
#' @param ... Options used by the tibble package to format the output. See
#' [`tibble::print()`][tibble::formatting] for more details.
#' @author Tiago Olivoto \email{tiagoolivoto@@gmail.com}
#' @method print Thennarasu
#' @export
#' @examples
#' \donttest{
#' library(metan)
#' model <- Thennarasu(data_ge2, ENV, GEN, PH)
#' print(model)
#' }
print.Thennarasu <- function(x, export = FALSE, file.name = NULL, digits = 3, ...) {
if (export == TRUE) {
file.name <- ifelse(is.null(file.name) == TRUE, "Thennarasu summary", file.name)
sink(paste0(file.name, ".txt"))
}
opar <- options(pillar.sigfig = digits)
on.exit(options(opar))
for (i in 1:length(x)) {
var <- x[[i]]
cat("Variable", names(x)[i], "\n")
cat("---------------------------------------------------------------------------\n")
cat("Thennarasu's stability indexes\n")
cat("---------------------------------------------------------------------------\n")
print(var)
cat("---------------------------------------------------------------------------\n")
cat("\n\n")
}
if (export == TRUE) {
sink()
}
}
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