data_lim: Truncate variables in a numeric matrix to specified limits

In nikolaifish/bamExtras: Functions and Data in Support of Stock Assessments with the Beaufort Assessment Model (BAM)

Truncate variables in a numeric matrix to specified limits

Description

Truncate variables in a numeric matrix data to specified limits. This function was designed to be used after running bamExtras::data_polate, to limit life history variables to realistic values after linear extrapolation.

Usage

data_lim(data, xname = NULL, xlim = c(-Inf, Inf))

Arguments

data	a numeric matrix or data frame that can be coerced to a numeric matrix
xname	column names of variables to truncate
xlim	numeric vector of length 2 with upper and lower limits to trim xname variables to.

Author(s)

Nikolai Klibansky

Examples

## Not run: 
rdat <- standardize_rdat(rdat_RedGrouper)
mydata <- rdat$a.series
 mydata2 <- data_polate(mydata,xout=0:max(mydata$age))
 mydata3 <- data_lim(mydata2,xlim=c(0,Inf))
 out <-     data_lim(mydata3,xname=c("prop.female","prop.male","mat.female","mat.male"),xlim=c(0,1))

 par(mfrow=c(1,1))
for(i in colnames(out[,-1])){
 x <- mydata[,1]
 xout <- out[,1]
 yout_i <- out[,i]
 plot(xout,yout_i,ylab=i)
 points(x,mydata[,i],col="red",pch=16)
 readline(prompt="Press [enter] to continue")
}

## End(Not run)

nikolaifish/bamExtras documentation built on July 21, 2023, 8:26 a.m.