Description Usage Arguments Details Value Author(s) Examples
The Check functions are used to introduce common model specific alterations to variables without changing their definition directly.
1 2 3 4 5 | CheckCollapse(variable, indent = 0, verbose = TRUE, ...)
CheckDecisions(variable, indent = 0, verbose = TRUE, ...)
CheckInput(variable, substitute = FALSE, indent = 0, verbose = TRUE, ...)
CheckMarginals(variable, deps = list(), dep_margs = list(), dep_nomargs = list(),
priormarg = TRUE, indent = 0, verbose = TRUE, ...)
|
variable |
an ovariable to run Check on. |
deps |
the dependency list of a latent ovariable, used by CheckMarginals to keep track of index columns. Ignored if length 0. |
dep_margs |
list of marginals, main use is in ovarible merge method. Ignored if length 0. |
dep_nomargs |
list of non-marginals, main use is in ovarible merge method. Ignored if length 0. |
priormarg |
flag determining whether columns are assumed to be indices by default when checking marginals. |
substitute |
flag determining whether model inputs should replace or append to current variable values. |
indent |
used by verbose to structure status messages by using indentation. |
verbose |
flag status message printing. |
... |
excess arguments are ignored. |
The Check functions are mainly used internally. They check for external instructions (model specific changes);
specifically objects in .GlobalEnv
with prefixes ("Col", "Dec", "Inp"). they are automated in the normal
ovariable
evaluation routine (EvalOutput
).
CheckCollapse
uses CollapseMarginal
which collapses marginals by applying sums, means or
samples. Also loses all non-marginal columns except the relevant "Result". It is mainly used to streamline models
by reducing rows in data.
CheckDecisions
checks for and applies decisions on variables. The function makes use of the odecision-class
,
which specifies the target cells as well as the effect. Odecisions are most often produced by DecisionTableParser
.
CheckInput
checks and uses outside input (run specific user inputs in models). Input should be in ovariable
format.
CheckMarginals
fills the marginal slot of an ovariable
using information from variable data and upstream variable marginals.
Assumes that all depended upon variables are loaded, as should be the case.
See also: http://en.opasnet.org/
Original ovariable
with possible adjustments.
T. Rintala teemu.rintala.a@gmail.com
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | #library(OpasnetUtils)
#
Deca <- new(
"odecision",
dectable = data.frame(
Decision = "Dec1",
Option = c("do it", "BAU"),
Cell = c("",""),
Change = c("Multiply", "Identity"),
Result = c("2", "1")
)
)
openv.setN(10)
a <- Ovariable("a", data = data.frame(A = c("A", "B"), Result = c("1-2","2-4")))
b <- Ovariable("b", formula = function(...){2*a}, dependencies = data.frame(Name = "a"))
b <- EvalOutput(b)
b
oapply(a, a@output[c("A", "Dec1")], mean)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.