Difference between revisions of "OpasnetUtils/Update"

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(Alternative: new version)
(code replaced with link to code)
 
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==Code==
 
==Code==
<rcode
 
name="setmethod.update"
 
label="Initiate functions"
 
graphics="1"
 
showcode="1"
 
>
 
# SETMETHOD UPDATE ########## update updates the output of an ovariable based on data and function.
 
####### The function assumes that object@data is always available, but object@dependencies may be empty.
 
temp <- setMethod(
 
f = "update",
 
signature = "ovariable",
 
definition = function(object) {
 
dat  <- data.frame(Source = "Data", interpret(object@data))
 
if(ncol(object@dependencies) == 0 & nrow(object@dependencies) == 0) {
 
object@output <- dat
 
} else {
 
form <- object@formula(object@dependencies)
 
if(is.vector(form)) {form <- data.frame(Result = form)}
 
if(class(form) == "ovariable") {form <- form@output}
 
form <- data.frame(Source = "Formula", form)
 
object@output <- orbind(dat, form)
 
}
 
colnames(object@output)[colnames(object@output) == "Source"] <- paste("Source", object@name, sep = ".")
 
object@marginal <- c(TRUE, object@marginal) # This alone is not enough; orbind must operate with marginals as well.
 
return(object)
 
}
 
)
 
  
 
+
https://www.opasnet.org/svn/opasnet_utils/trunk/R/Update.r
#### This code was taken out of update. It is still needed somewhere but not here.
 
# dep <- object@dependencies
 
# for(i in 1:length(dep)) {
 
# if(class(dep[[i]]) == "ovariable") {
 
# dep[[i]] <- dep[[i]]@output
 
# } else {
 
# if(length(grep("Op_(en|fi)", dep[[i]])) > 0) {
 
# dep[[i]] <- op_baseGetData("opasnet_base", dep[[i]])}
 
# else {
 
# if(class(dep[[i]]) != "data.frame" & !is.numeric(dep[[i]])) {
 
# dep[[i]] <- get(dep[[i]])
 
# }
 
# }
 
# }
 
# }
 
</rcode>
 
 
 
=== Alternative ===
 
{{comment|# |To be able to control, when variables are evaluated we need functions EvalOutput and CheckMargins. Which determine the values of the output and margin of an ovariable. |--[[User:Teemu R|Teemu R]] 13:06, 15 June 2012 (EEST)}}
 
 
 
<rcode
 
name="setmethod.update"
 
label="Initiate functions"
 
graphics="1"
 
showcode="1"
 
>
 
# EvalOutput #################### evaluates the output slot of ovariables
 
##### Marginals should be also checked and updated here or elsewhere
 
 
 
EvalOutput <- function(variable, ...) { # ... for e.g na.rm
 
if (nrow(variable@data) > 0) {
 
rescol <- ifelse(
 
"Result" %in% colnames(variable@data),
 
"Result",
 
paste(variable@name, "Result", sep = ":")
 
)
 
if (!is.numeric(variable@data[[rescol]])) {
 
a <- interpret(variable@data, rescol = rescol, ...)
 
} else a <- variable@data
 
} else a <- variable@data
 
b <- variable@formula(variable@dependencies)
 
if (is.numeric(b) & nrow(variable@data) == 0) {
 
stop(paste("No proper data nor formula defined for ", variable@name, "!\n", sep = ""))
 
}
 
if (is.numeric(b)) {
 
a[,paste(variable@name, "Source", sep = ":")] <- "Data"
 
variable@output <- a
 
return(variable)
 
}
 
if (nrow(variable@data) == 0) {
 
b[,paste(variable@name, "Source", sep = ":")] <- "Formula"
 
variable@output <- b
 
return(variable)
 
}
 
colnames(a)[colnames(a) == rescol] <- "FromData"
 
colnames(b)[colnames(b) %in% c(paste(variable@name, "Result", sep = ":"), "Result")] <- "FromFormula" # *
 
# <variablename>: prefix not necessitated for "Result" column of formula output
 
temp <- melt(
 
merge(a, b, all = TRUE, ...), # Will cause problems if dependencies contain non-marginal indices that match with -
 
# marginal indeces in data. Or maybe not.
 
measure.vars = c("FromData", "FromFormula"),
 
variable.name = paste(variable@name, "Source", sep = ":"),
 
value.name = paste(variable@name, "Result", sep = ":"),
 
...
 
)
 
levels(
 
temp[[paste(variable@name, "Source", sep = ":")]]
 
) <- gsub("^From", "",
 
levels(
 
temp[[paste(variable@name, "Source", sep = ":")]]
 
)
 
)
 
variable@output <- temp
 
return(variable)
 
}
 
</rcode>
 
  
 
==See also==
 
==See also==

Latest revision as of 14:04, 16 August 2012



Description

Updates the output of an ovariable based on data and function. The function assumes that object@data is always available, but object@dependencies may be empty.

Code

https://www.opasnet.org/svn/opasnet_utils/trunk/R/Update.r

See also