View source: R/sbtab_utilities.R
update_from_table | R Documentation |
This function can be used in the circumstance that you already have a default vector and want to update some of its entries from a data.frame with more specific values. The table describes the circumstamces of these more specific values and has columns named like the vector elements. The function returns a matrix with one column per scenario, updated using the table. This is used while parsing SBtab tables.
update_from_table(v, Table, prefix = ">", v.strip = "_ConservedConst$")
v |
the vector to update |
Table |
a table with column names partially matching those in v |
prefix |
in the Table, the columns are named "paste(suffix,names(v))" |
The returned value M has several copies of vector v with some values changed accoring to a table (Qantity Matrix) If the table has columns that name members of v (also named) they will be used. The M will have as many columns as the table has rows.
When the columns in the Table have a prefix, this can be compensated: say, the names(v) are c("a", "b", "c") but in the Table we have names(Table) as c(">a",">b",">abc",">d") then setting prefix to ">" will match a and b correctly and none of the others.
Whenever one of the items in v has a name ending in _ConservedConst it is assumed to be the result of conservation law analysis and matching is done disregarding the _ConservedConst suffix.
a matrix with various versions of v (columns) one per setting described in data.frame Table. The names can have a ">" prefix in the names (see SBtab rules)
> v<-c(1,2,3)
> names(v)<-c('a','b','c')
> data<-data.frame(row.names=c('low','med','high'),
b=c(0.5,2.5,5.5),
comment=c('b < 1','close to default','b > 2×default'))
b comment
low 0.5 b < 1
med 2.5 close to default
high 5.5 b > 2×default
> update_from_table(v,data,prefix="")
low med high
a 1.0 1.0 1.0
b 0.5 2.5 5.5
c 3.0 3.0 3.0
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