initModel | R Documentation |
Allows definition of a model of class "dat" to be used in analysis. The arguments specify the model.
initModel(...)
... |
specify the model class via the character string
e.g., |
For examples, see the help files for dat-class
and
fitModel
an object of class dat
with the sub-class given by the value of
the mod_type
input.
Katharine M. Mullen, Ivo H. M. van Stokkum
dat-class
, kin-class
,
spec-class
,
fitModel
############################## ## READ IN PSI 1 ############################## data(denS4) ############################## ## PREPROCESS PSI 1 ############################## denS4<-preProcess(data = denS4, scalx2 = c(3.78, 643.5)) ############################## ## READ IN PSI 2 ############################## data(denS5) ############################## ## PREPROCESS PSI 2 ############################## denS5<-preProcess(data = denS5, scalx2 = c(3.78, 643.5)) ############################## ## DEFINE INITIAL MODEL ############################## model1<- initModel(mod_type = "kin", kinpar= c(7.9, 1.08, 0.129, .0225, .00156) , irfpar=c( -.1018, 0.0434), disptau=FALSE, dispmu=TRUE, parmu = list(c(.230)), lambdac = 650, seqmod=TRUE, positivepar=c("kinpar"), title="S4", cohspec = list( type = "irf")) ############################## ## FIT INITIAL MODEL ############################## denRes1 <- fitModel(data=list(denS4, denS5), list(model1), opt=kinopt(iter=5, divdrel = TRUE, linrange = .2, makeps = "den1", selectedtraces = c(1,5,10), plotkinspec =TRUE, output="pdf", xlab = "time (ps)", ylab = "wavelength")) ############################## ## REFINE INITIAL MODEL, RE-FIT ## adding some per-dataset parameters ############################## denRes2 <- fitModel(data = list(denS4, denS5), modspec = list(model1), modeldiffs = list(dscal = list(list(to=2,from=1,value=.457)), free = list( list(what = "irfpar", ind = 1, dataset = 2, start=-.1932), list(what = "kinpar", ind = 5, dataset = 2, start=.0004), list(what = "kinpar", ind = 4, dataset = 2, start= .0159) )), opt=kinopt(iter=5, divdrel = TRUE, linrange = .2, xlab = "time (ps)", ylab = "wavelength", output="pdf", makeps = "den2", selectedtraces = c(1,5,10))) ############################## ## REFINE MODEL FURTHER AS NEW MODEL OBJECT ############################## model2 <- initModel(mod_type = "kin", kinpar= c(7.9, 1.08, 0.129, .0225, .00156), irfpar=c( -.1018, 0.0434), parmu = list(c(.230)), lambdac = 650, positivepar=c("kinpar", "coh"), cohspec = list( type = "seq", start = c(8000, 1800))) ############################## ## FIT NEW MODEL OBJECT ############################## denRes3 <- fitModel(data = list(denS4, denS5), list(model2), modeldiffs = list(dscal = list(list(to=2,from=1,value=.457)), free = list( list(what = "irfpar", ind = 1, dataset = 2, start=-.1932), list(what = "kinpar", ind = 5, dataset = 2, start=.0004), list(what = "kinpar", ind = 4, dataset = 2, start= .0159) )), opt=kinopt(iter=5, divdrel = TRUE, linrange = .2, makeps = "den3", selectedtraces = c(1,5,10), plotkinspec =TRUE, stderrclp = TRUE, kinspecerr=TRUE, output="pdf", xlab = "time (ps)", ylab = "wavelength", breakdown = list(plot=c(643.50, 658.62, 677.5)))) # end donttest ############################## ## CLEANUP GENERATED FILES ############################## # This removes the files that were generated in this example # (do not run this code if you wish to inspect the output) file_list_cleanup = c('den1_paramEst.txt', 'den2_paramEst.txt', 'den3_paramEst.txt', Sys.glob("*paramEst.txt"), Sys.glob("*.ps"), Sys.glob("Rplots*.pdf")) # Iterate over the files and delete them if they exist for (f in file_list_cleanup) { if (file.exists(f)) { unlink(f) } }
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