Combine a table schema and a set of values into some type of Table object depending on what type of values are given.

Table(schema, values)

Arguments

schema

a table Schema object, or the ID of a Table

values

an object that holds the content of the tables:
- a data frame
- a RowSet
- a string holding the path to a CSV file

Details

Value

a Table object suitable for storing

References

Note

See also

Examples

# NOT RUN {
# Define the table's column schema
cols <- list(
    Column(name = 'Name', columnType = 'STRING', maximumSize = 20),
    Column(name = 'Chromosome', columnType = 'STRING', maximumSize = 20),
    Column(name = 'Start', columnType = 'INTEGER'),
    Column(name = 'End', columnType = 'INTEGER'),
    Column(name = 'Strand', columnType = 'STRING', enumValues = list('+', '-'), maximumSize = 1),
    Column(name = 'TranscriptionFactor', columnType = 'BOOLEAN'))

# create the schema
schema <- Schema(name = 'My Favorite Genes', columns = cols, parent = project)

# define the data to be added to the table
genes <- data.frame(
        Name = c("foo", "arg", "zap", "bah", "bnk", "xyz"),
        Chromosome = c(1,2,2,1,1,1),
        Start = c(12345,20001,30033,40444,51234,61234),
        End = c(126000,20200,30999,41444,54567,68686),
        Strand = c('+', '+', '-', '-', '+', '+'),
        TranscriptionFactor = c(F,F,F,F,T,F))

# now add the data to the table and save
table <- Table(schema, genes)
table <- synStore(table)

# after the Table is created, it can be updated using its ID
table_id <- table$tableId
table <- synStore(Table(table_id, genes))
# }