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##' count unique values in every columns for data.frame
##'
##' in geo analysis,this function can help you simplify pdata, delete columns with unique values,which can't be used as group vector
##' @param x A data.frame.
##' @return The simple data.frame of columns unique values count in \code{x}
##' @importFrom dplyr arrange
##' @importFrom dplyr desc
##' @importFrom tibble tibble
##' @export
##' @examples
##' dumd(iris)
##' data(ToothGrowth)
##' x = ToothGrowth
##' dumd(ToothGrowth)
dumd <- function(x){
colname <- vector("character")
count <- vector("integer")
for(i in 1:ncol(x)){
colname[i] = colnames(x)[[i]]
count[i]=nrow(x[!duplicated(x[,i]),])
}
df <- tibble(colname,count) |>
arrange(desc(count))
return(df)
}
##' intersect_all
##'
##' calculate intersect set for two or more elements
##'
##' @param ... some vectors or a list with some vectors
##' @export
##' @return vector
##' @author Xiaojie Sun
##' @examples
##' x1 = letters[1:4]
##' x2 = letters[3:6]
##' x3 = letters[3:4]
##' re =intersect_all(x1,x2,x3)
##' re2 = intersect_all(list(x1,x2,x3))
##' re3 = union_all(x1,x2,x3)
##' @seealso
##' \code{\link{union_all}}
intersect_all <- function(...){
li = list(...)
if(length(li)==1 & is.list(li[[1]])) li = li[[1]]
result = li[[1]]
for(k in 1:length(li)){
result = intersect(result,li[[k]])
}
return(result)
}
##' union_all
##'
##' calculate union set for two or more elements
##'
##' @param ... some vectors or a list with some vectors
##' @export
##' @return vector
##' @author Xiaojie Sun
##' @examples
##' x1 = letters[1:4]
##' x2 = letters[3:6]
##' x3 = letters[3:4]
##' re =intersect_all(x1,x2,x3)
##' re2 = intersect_all(list(x1,x2,x3))
##' re3 = union_all(x1,x2,x3)
##' @seealso
##' \code{\link{intersect_all}}
union_all <- function(...){
li = list(...)
if(length(li)==1 & is.list(li[[1]])) li = li[[1]]
result = li[[1]]
for(k in 1:length(li)){
result = union(result,li[[k]])
}
return(result)
}
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