Nothing
# Function to calculate the sensitivity matrix
#
#' @export
sensitivity <- function(parm_s)
{
# Read the file with information about the Inverse Problem.
nn <- length(.GlobalEnv$file_name)
#
# reading each file_name information
readRfiles(.GlobalEnv$folder_name,.GlobalEnv$file_name)
#
change_parm(.GlobalEnv$folder_name,.GlobalEnv$file_name,.GlobalEnv$parm_name,.GlobalEnv$line_number,.GlobalEnv$parm_type,.GlobalEnv$parm_vector,parm_s,.GlobalEnv$attrib_str,.GlobalEnv$isitR)
#
# running the command
if(.GlobalEnv$command_folder!='wd')
{
if (.GlobalEnv$isitR==TRUE)
{my<-eval(parse(text=paste(".GlobalEnv$my",.GlobalEnv$command,sep='')))
eval(parse(text=my))
resultado1 <- .GlobalEnv$results
}else{system(paste(.GlobalEnv$command_folder,'/',.GlobalEnv$command,sep=''))}
}else{
if (.GlobalEnv$isitR==TRUE)
{my<-eval(parse(text=paste(".GlobalEnv$my",.GlobalEnv$command,sep='')))
eval(parse(text=my))
resultado1 <- .GlobalEnv$results
}else{system(.GlobalEnv$command)}
}
#
# reading the results after running the command
# only needed if the function is not a R routine
if (.GlobalEnv$isitR==FALSE)
{if(.GlobalEnv$result_folder!='wd')
{resultado1 <- unlist(strsplit(readLines(paste(.GlobalEnv$result_folder,'/',.GlobalEnv$result,sep='')),' '))
}else{resultado1 <- unlist(strsplit(readLines(.GlobalEnv$result),' '))}
}
mm <- length(resultado1)
sensitivity <- matrix(ncol=nn,nrow=mm)
parm_dif <- .GlobalEnv$parm_max - .GlobalEnv$parm_min
parm_max1 <- parm_s + (.GlobalEnv$ppdif / 100) * parm_dif
parm_min1 <- parm_s - (.GlobalEnv$ppdif / 100) * parm_dif
i_sn <- 1
while(i_sn<=nn)
{
auxi<-parm_s
# change all parameters and auxi[i_sn] to parm_max1[i_sn]
auxi[i_sn] <- parm_max1[i_sn]
change_parm(.GlobalEnv$folder_name,.GlobalEnv$file_name,.GlobalEnv$parm_name,.GlobalEnv$line_number,.GlobalEnv$parm_type,.GlobalEnv$parm_vector,auxi,.GlobalEnv$attrib_str,.GlobalEnv$isitR)
# running the command
if(.GlobalEnv$command_folder!='wd')
{
if (.GlobalEnv$isitR==TRUE)
{my<-eval(parse(text=paste(".GlobalEnv$my",.GlobalEnv$command,sep='')))
eval(parse(text=my))
resultado1 <- .GlobalEnv$results
}else{system(paste(.GlobalEnv$command_folder,'/',.GlobalEnv$command,sep=''))}
}else{
if (.GlobalEnv$isitR==TRUE)
{my<-eval(parse(text=paste(".GlobalEnv$my",.GlobalEnv$command,sep='')))
eval(parse(text=my))
resultado1 <- .GlobalEnv$results
}else{system(.GlobalEnv$command)}
}
#
# reading the results after running the command
# only needed if the function is not a R routine
if (.GlobalEnv$isitR==FALSE)
{if(.GlobalEnv$result_folder!='wd')
{resultado1 <- unlist(strsplit(readLines(paste(.GlobalEnv$result_folder,'/',.GlobalEnv$result,sep='')),' '))
}else{resultado1 <- unlist(strsplit(readLines(.GlobalEnv$result),' '))}
}
# change all parameters and auxi[i_sn] to parm_min[i_sn]
auxi[i_sn] <- parm_min1[i_sn]
change_parm(.GlobalEnv$folder_name,.GlobalEnv$file_name,.GlobalEnv$parm_name,.GlobalEnv$line_number,.GlobalEnv$parm_type,.GlobalEnv$parm_vector,auxi,.GlobalEnv$attrib_str,.GlobalEnv$isitR)
# running the command
if(.GlobalEnv$command_folder!='wd')
{
if (.GlobalEnv$isitR==TRUE)
{my<-eval(parse(text=paste(".GlobalEnv$my",.GlobalEnv$command,sep='')))
eval(parse(text=my))
resultado2 <- .GlobalEnv$results
}else{system(paste(.GlobalEnv$command_folder,'/',.GlobalEnv$command,sep=''))}
}else{
if (.GlobalEnv$isitR==TRUE)
{my<-eval(parse(text=paste(".GlobalEnv$my",.GlobalEnv$command,sep='')))
eval(parse(text=my))
resultado2 <- .GlobalEnv$results
}else{system(.GlobalEnv$command)}
}
#
# reading the results after running the command
# only needed if the function is not a R routine
if (.GlobalEnv$isitR==FALSE)
{if(.GlobalEnv$result_folder!='wd')
{resultado2 <- unlist(strsplit(readLines(paste(.GlobalEnv$result_folder,'/',.GlobalEnv$result,sep='')),' '))
}else{resultado2 <- unlist(strsplit(readLines(.GlobalEnv$result),' '))}
}
#
# change everything back to original value (parm[i_sn])
change_parm(.GlobalEnv$folder_name,.GlobalEnv$file_name,.GlobalEnv$parm_name,.GlobalEnv$line_number,.GlobalEnv$parm_type,.GlobalEnv$parm_vector,parm_s,.GlobalEnv$attrib_str,.GlobalEnv$isitR)
j_sn <- 1
while(j_sn<=mm)
{
sensitivity[j_sn,i_sn] <- (as.numeric(resultado1[j_sn])-as.numeric(resultado2[j_sn]))/(.GlobalEnv$parm_max[i_sn]-.GlobalEnv$parm_min[i_sn])
j_sn <- j_sn+1
}
i_sn <- i_sn+1
}
return(sensitivity)
}
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