#'
#' @title LSA + Dynamics measures for Bat wings.
#'
#' @description Calculate the LSA and Dynamics measures for a Bat wing using different wings measures.
#'
#' @return The function return four LSA calculations and four Dynamics measures.
#'
#' @param x is the input matrix. This matrix is very specific, check the example.
#'
#' @param scale if you want to transform milimeters and grames to meters and kilograms
#' for the LSA and Dynamics measures calculate.
#'
#' @return The function returns a S3 object with two list objects. First one
#' is the LSA and Dynamics measures, and second one is the Statistics.
#'
#' @examples
#' library(BatWing)
#' data(wing)
#'
#' BatWingAll(x = wing, scale=FALSE)
#'
#'@seealso \url{https://github.com/oleon12/BatWing/tree/master/README.Rmd}
#'
#'@author Leon-Alvarado Omar Daniel.
#'
#'@keyword Bat LSA, Bat Aspect Ratio, Bat Wing Loading
#'
#'@export
BatWingAll <- function(x, scale=F){
if(scale==T){
Area.r <- BatWingArea(x,scale=T)
}else{
Area.r <- BatWingArea(x,scale=T)
}
out.list <- list()
stat.l <- list()
if(scale==F){
warning("scaleArea is FALSE, remember, for the Dynamic formulas the LSA or Area must be in squared meters")
}
for (i in 1:length(colnames(Area.r[[1]]))){
r1 <- data.frame(x[,1],x[,6],x[,7],Area.r[[1]][,i])
colnames(r1)[2:4] <- c("Mass","Wingspan","Area")
if(scale==T){
Dyn.r <- BatWingDynamics(r1,scale=T)
stat.l[[i]] <- Dyn.r[[2]]
Dyn.r <- cbind(Area=Area.r[[1]][,i],Dyn.r[[1]])
out.list[[i]] <- Dyn.r
}else{
Dyn.r <- BatWingDynamics(r1,scale=F)
stat.l[[i]] <- Dyn.r[[2]]
Dyn.r <- cbind(Area=Area.r[[1]][,i],Dyn.r[[1]])
out.list[[i]] <- Dyn.r
}
}
names(out.list) <- c("BloodMcFarlane","Aldrige","SmithStarrett","Pirlot")
names(stat.l) <- c("BloodMcFarlane","Aldrige","SmithStarrett","Pirlot")
out <- list(out.list,stat.l)
names(out) <-c("Dynamics","Stats")
return(out)
}
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