Nothing
OLE <-
function(sightingdata, alpha){
##some warnings
##data frame warnings
if(missing(sightingdata)) stop('no data present', call.=FALSE)
if(!is.numeric(sightingdata[,1]))
stop('sighting data must be a data.frame of real numbers', call.=FALSE)
if(!is.numeric(sightingdata[,2]))
stop('sighting data must be a dataframe of real numbers', call.=FALSE)
if(ncol(sightingdata)<2)
stop('some data missing', call.=FALSE)
if(max(sightingdata[,2])>max(sightingdata[,1]))
warning("Check column values are correct, values for number of sighting events appear to be larger than the years at which sightings occur", call.=FALSE)
if(ncol(sightingdata)>2)
warning("data passed to the function is larger than 2 columns, extinction is being estimated from the values in the first two columns only", call.=FALSE)
if(min(sightingdata[,2])<0)
stop('sightingdata cannot contain negative values', call.=FALSE)
if(min(sightingdata[,1])<0)
stop('sightingdata cannot contain negative values', call.=FALSE)
if(min(diff(sightingdata[,1]))==0)
stop('multiple identical year values entered', call.=FALSE)
if(min(diff(sightingdata[,1]))<0)
warning("sightingdata has been ordered by the time column", call.=FALSE)
if(min(diff(sightingdata[,1]))<0)
sightingdata<-sightingdata[order(sightingdata[,1]),]
##missing value warnings
if(missing(alpha))
stop('no alpha value specified', call.=FALSE)
if(alpha>1)
stop('alpha value must be less than 1', call.=FALSE)
if(alpha<0)
stop('alpha value must be a positive number', call.=FALSE)
OLE.fun(sightingdata, alpha)
}
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