Nothing
################################################################################
# Validity methods:
# This function is from package biom https://github.com/joey711/biom, authored by Paul J. McMurdie
# These are delicate, because they are effectively at the S4 infrastructure
# level, in between "new" and the constructor. Some of the issues that might
# otherwise go here can be also be dealt with in the constructors, if needed.
################################################################################
validbiom = function(object){
# All the required top-level keys are present
biomreqdkeys = c("id", "format", "format_url", "type", "generated_by", "date",
"rows", "columns", "matrix_type", "matrix_element_type", "shape", "data")
if( !all(biomreqdkeys %in% names(object)) ){
missingkeysmessage = paste("",
"Not all required top-level keys are present in biom-object.",
"Required keys are:", paste0(biomreqdkeys, collapse="\n"),
sep="\n")
return(missingkeysmessage)
}
met = matrix_element_type(object)
if(!identical(length(met), 1L)){
return("biom matrix_element_type field should have only 1 element")
}
if( !met %in% c("int", "float", "unicode") ){
return("biom matrix_element_type value is unsupported.")
}
# Basic biom_shape value validity.
bshape = biom_shape(object)
if(!inherits(bshape, "integer")){
return("problem with biom shape value type")
}
if(!identical(length(bshape), 2L)){
return("problem with biom shape value length")
}
if(any(bshape < 0)){
return("problem with biom shape value: negative value")
}
# Matrix shape and number of row/col elements matches
if( ncol(object) > length(object$columns) ){
return("shape field specifies more cols than are present in metadata")
}
if( nrow(object) > length(object$rows) ){
return("shape field specifies more rows than are present in metadata")
}
if( ncol(object) < length(object$columns) ){
return("more metadata cols than specified by shape field")
}
if( nrow(object) < length(object$rows) ){
return("more metadata rows than specified by shape field")
}
# The type field has an acceptable value
biomtypevals = c("OTU table",
"Pathway table",
"Function table",
"Ortholog table",
"Gene table",
"Metabolite table",
"Taxon table"
)
if( !object$type %in% biomtypevals ){
return("type field has unsupported value")
}
# The matrix_type has an acceptable value
biommatrixtypes = c("sparse", "dense")
if( !object$matrix_type %in% biommatrixtypes ){
return("matrix_type field has unsupported value")
}
# The matrix_element_type has an acceptable value
biommatrixelemtypes = c("int", "float", "unicode")
if( !object$matrix_element_type %in% biommatrixelemtypes ){
return("matrix_element_type field has unsupported value")
}
# If sparse, all data fields should have length of 3 (row, col, val)
if( identical(object$matrix_type, "sparse") ){
if( !all(sapply(object$data, length)==3L) ){
return("Some data fields for this sparse biom format do not have 3 elements")
}
}
# If dense, data fields should have length equal to ncol
if( identical(object$matrix_type, "dense") ){
if( !all(sapply(object$data, length)==ncol(object)) ){
return(paste("Some data fields for this dense biom format",
"do not have the expected number columns:", ncol(object), sep=" "))
}
}
# metadata ids -- rownames and colnames -- must be unique
dupr = duplicated(rownames(object))
dupc = duplicated(colnames(object))
if( any(dupr) ){
return(paste("The following row ids were duplicated: \n",
paste0(rownames(object)[dupr], collapse="\n"), sep=""))
}
if( any(dupc) ){
return(paste("The following col ids were duplicated: \n",
paste0(colnames(object)[dupc], collapse="\n"), sep=""))
}
# If we get all the way here without returning a string,
# then consider it a valid object.
# In which case should return TRUE.
return(TRUE)
}
################################################################################
## assign the function as the validity method for the biom-class
setValidity("biom", validbiom)
################################################################################
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