Save the elisa_batch data
Serialize elisa_batch data to disk.
saveDB(batches, db)
batches |
list of elisa batch data to be serialized. |
db |
character the file name specifying name of the db. |
We serialize elisa_batch data by wrapping the saveRds() function call. The serialized elisa_batch data are assumed to have been correctly analyzed. We will print a summary for what has been saved.
#R code to run 5-parameter logistic regression on ELISA data #load the library library(ELISAtools) #get file folder dir_file<-system.file("extdata", package="ELISAtools") batches<-loadData(file.path(dir_file,"design.txt")) #make a guess for the parameters, the other two parameters a and d #will be estimated based on data. model<-"5pl" pars<-c(7.2,0.5, 0.015) #5pl inits names(pars)<-c("xmid", "scal", "g") #do fitting. model will be written into data set. batches<-runFit(pars=pars, batches=batches, refBatch.ID=1, model=model ) #now call to do predications based on the model. batches<-predictAll(batches); #now saving the data. saveDB(batches, file.path(tempdir(),"elisa_tool1.rds"));
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