# private functions
# the following functions are used by our package to check the input given by the user
# but users can not change their parameters.
######.checkRank#####
#.checkRank
#
#checks if the chosen rank is correct and if column with this rank exists
#
#@keywords internal
#@param rank string with the rank of interest
#@param df data frame of fossil data
#@return boolean if the rank is possible to be chosen
#@examples
#\dontrun{
#rank <- "species"
#.checkRank(rank)
#}
.checkRank <- function(rank, df){
coln <- colnames(df)
possible_ranks <- c("species", "genus", "family", "order", "class", "phylum")
return(rank %in% possible_ranks && rank %in% coln)
}
#####.checkLatLng#####
#.checkLatLng
#
#checks if the input data frame has
#paleolatitude, paleolongitude and recon_age as columns
#
#@keywords internal
#@param data a data frame with fossil occurences
#@return boolean if paleolat and paleolng are columns of the data frame
#@examples
#\dontrun{
#data <- getdata(base_name="Canis", interval="Quaternary")
#.checkLatLng(data)
#}
.checkLatLng <- function(data){
coln <- base::colnames(data)
return("paleolat" %in% coln && "paleolng" %in% coln && "recon_age" %in% coln)
}
######.checkDataRank#####
#.checkDataRank
#
#checks if the column corresponding to the rank is inside the data frame
#
#
#@param data a data frame with fossil occurences
#@param rank a string defning the rank of interest
#@return boolean of correct columns are inside the data frame
#@examples
#\dontrun{
#data <- getdata(base_name="Canis", interval="Quaternary")
#rank <- "species"
#.checkDataRank(data, rank)
#}
.checkDataRank <- function(data, rank){
coln <- base::colnames(data)
return(rank %in% coln)
}
######.checkShape#####
#.checkShape
#
#checks if the input shape is a SpatialPolygonsDataFrame
#
#@keywords internal
#@param shape a SpatialPolygonsDataFrame
#@return a boolean if the shape is a SpatialPolygonsDataFrame
#@examples
#\dontrun{
#shape <- getmap(interval="Quaternary", model="GPlates")
#.checkShape(shape)
#}
.checkShape <- function(shape){
if(class(shape)=="list"){
shapebool <- TRUE
for(i in 1:length(shape)){
if(! base::class(shape[[i]])=="SpatialPolygonsDataFrame"){
shapebool <- FALSE
}
return(shapebool)
}
}else{
return(base::class(shape)=="SpatialPolygonsDataFrame")
}
}
######.checkRange#####
#.checkRange
#
#checks if paleolat and paleolng are in range
#
#@param df data frame including at leat paleolat and paleolng
#@return boolean if lat and lng are in range
#@examples
#\dontrun{
#.checkRange(df)
#}
.checkRange <- function(df){
lat <- df$paleolat
lng <- df$paleolng
return(base::min(lat, na.rm=TRUE) >= -90 && base::max(lat, na.rm=TRUE) <= 90 && base::min(lng, na.rm=TRUE) >= -180 && base::max(lng, na.rm=TRUE) <= 180)
}
######.checkSaveAs#####
#.checkSaveAs
#
# check if the input for save.as is correct
#
#@param save.as
#@return boolean if format is implemented to be saved
#@examples
#\dontrun{
#.checkSaveAs(save.as)
#}
.checkSaveAS <- function(save.as){
formats <- c("pdf", "tiff", "jpeg", "png")
if(!is.null(save.as)){
return(save.as %in% formats)
}else{
return(TRUE)
}
}
######.checkUnity#####
#.checkUnity
#
# check if unity is fossilsite or cell
#
#@param unity
#@return boolean if unity is fossilsite or cell
#@examples
#\dontrun{
#.checkUnity(unity)
#}
.checkUnity <- function(unity){
unities <- c("fossilsite", "cell")
return( unity %in% unities)
}
######.checkPaleocoords#####
#.checkPaleocoords
#
# check data frame for paleocoords
#
#@param df
#@return boolean if needed columns are in df
#@examples
#\dontrun{
#.checkPaleocoords(df)
#}
.checkPaleocoords <- function(df){
dfcols <- colnames(df)
columns <- c("recon_age", "lat", "lng", "early_age", "late_age", "avg_age")
colbool <- TRUE
for(i in 1:base::length(dfcols)){
colbool <- colbool && (columns[i] %in% dfcols)
}
return(colbool)
}
######.checkFormat#####
#.checkFormat
#
# check if columns needed are inside the df
#
#@param df
#@return boolean if all columns needed are inside the df
#@examples
#\dontrun{
#.checkFormat(df)
#}
.checkFormat <- function(df){
columns <- c("early_age", "late_age", "matched_rank")
cols <- colnames(df)
colbool <- TRUE
for (i in 1:base::length(columns)){
colbool <- colbool && (columns[i] %in% cols)
}
return(colbool)
}
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