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| ==Code== | | ==Code== |
− | <rcode
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− | name="setmethod.update"
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− | label="Initiate functions"
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− | graphics="1"
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− | showcode="1"
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− | >
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− | # SETMETHOD UPDATE ########## update updates the output of an ovariable based on data and function.
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− | ####### The function assumes that object@data is always available, but object@dependencies may be empty.
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− | temp <- setMethod(
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− | f = "update",
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− | signature = "ovariable",
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− | definition = function(object) {
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− | dat <- data.frame(Source = "Data", interpret(object@data))
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− | if(ncol(object@dependencies) == 0 & nrow(object@dependencies) == 0) {
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− | object@output <- dat
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− | } else {
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− | form <- object@formula(object@dependencies)
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− | if(is.vector(form)) {form <- data.frame(Result = form)}
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− | if(class(form) == "ovariable") {form <- form@output}
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− | form <- data.frame(Source = "Formula", form)
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− | object@output <- orbind(dat, form)
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− | }
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− | colnames(object@output)[colnames(object@output) == "Source"] <- paste("Source", object@name, sep = ".")
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− | object@marginal <- c(TRUE, object@marginal) # This alone is not enough; orbind must operate with marginals as well.
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− | return(object)
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− | }
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− | )
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− | | + | 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.
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− | # dep <- object@dependencies
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− | # for(i in 1:length(dep)) {
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− | # if(class(dep[[i]]) == "ovariable") {
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− | # dep[[i]] <- dep[[i]]@output
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− | # } else {
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− | # if(length(grep("Op_(en|fi)", dep[[i]])) > 0) {
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− | # dep[[i]] <- op_baseGetData("opasnet_base", dep[[i]])}
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− | # else {
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− | # if(class(dep[[i]]) != "data.frame" & !is.numeric(dep[[i]])) {
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− | # dep[[i]] <- get(dep[[i]])
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− | # }
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− | # }
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− | # }
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− | # }
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− | </rcode>
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− | | |
− | === Alternative ===
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− | {{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)}}
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− | | |
− | <rcode
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− | name="setmethod.update"
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− | label="Initiate functions"
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− | graphics="1"
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− | showcode="1"
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− | >
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− | # EvalOutput #################### evaluates the output slot of ovariables
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− | ##### Marginals should be also checked and updated here or elsewhere
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− | | |
− | EvalOutput <- function(variable, ...) {
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− | #if (nrow(variable@data) > 0) { # if interpret can handle zero rows, no problem
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− | a <- interpret(variable@data, ...)
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− | #}
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− | b <- variable@formula(variable@dependencies)
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− | if (b == 0 & nrow(variable@data) == 0) {
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− | stop(paste("No proper data nor formula defined for ", variable@name, "!\n", sep = ""))
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− | }
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− | if (b == 0) {
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− | a$Source <- "Data"
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− | return(a)
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− | }
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− | if (nrow(variable@data) == 0) {
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− | b$Source <- "Formula"
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− | return(b)
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− | }
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− | colnames(a)[colnames(a) == "Result"] <- "Data"
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− | colnames(b)[colnames(b) == "Result"] <- "Formula"
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− | return(
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− | melt(
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− | merge(a, b, all = TRUE, ...),
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− | measure.vars = c("Data", "Formula"),
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− | variable.name = "Source",
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− | value.name = "Result",
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− | ...
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− | )
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− | )
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− | }
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− | </rcode>
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| ==See also== | | ==See also== |
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.