Misra1a {NISTnls} | R Documentation |
The Misra1a
data frame has 14 rows and 2 columns.
This data frame contains the following columns:
These data are the result of a NIST study regarding dental research in monomolecular adsorption. The response variable is volume, and the predictor variable is pressure.
Misra, D., NIST (1978). Dental Research Monomolecular Adsorption Study.
Try <- function(expr) if (!inherits(val <- try(expr), "try-error")) val plot(y ~ x, data = Misra1a) Try(fm1 <- nls(y ~ b1*(1-exp(-b2*x)), data = Misra1a, trace = TRUE, start = c(b1 = 500, b2 = 0.0001) )) Try(fm1a <- nls(y ~ b1*(1-exp(-b2*x)), data = Misra1a, trace = TRUE, alg = "port", start = c(b1 = 500, b2 = 0.0001) )) Try(fm2 <- nls(y ~ b1*(1-exp(-b2*x)), data = Misra1a, trace = TRUE, start = c(b1 = 250, b2 = 0.0005) )) Try(fm2a <- nls(y ~ b1*(1-exp(-b2*x)), data = Misra1a, trace = TRUE, alg = "port", start = c(b1 = 250, b2 = 0.0005) )) Try(fm3 <- nls(y ~ 1-exp(-b2*x), data = Misra1a, trace = TRUE, start = c(b2 = 0.0001), algorithm = "plinear" )) Try(fm4 <- nls(y ~ 1-exp(-b2*x), data = Misra1a, trace = TRUE, start = c(b2 = 0.0005), algorithm = "plinear" )) ## Using a self-starting model Try(fm5 <- nls(y ~ SSasympOrig(x, Asym, lrc), data = Misra1a))