muscle | R Documentation |
The purpose of this experiment was to assess the influence of calcium in solution on the contraction of heart muscle in rats. The left auricle of 21 rat hearts was isolated and on several occasions a constant-length strip of tissue was electrically stimulated and dipped into various concentrations of calcium chloride solution, after which the shortening of the strip was accurately measured as the response.
muscle
This data frame contains the following columns:
Strip
which heart muscle strip was used?
Conc
concentration of calcium chloride solution, in multiples of 2.2 mM.
Length
the change in length (shortening) of the strip, (allegedly) in mm.
Linder, A., Chakravarti, I. M. and Vuagnat, P. (1964) Fitting asymptotic regression curves with different asymptotes. In Contributions to Statistics. Presented to Professor P. C. Mahalanobis on the occasion of his 70th birthday, ed. C. R. Rao, pp. 221–228. Oxford: Pergamon Press.
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth Edition. Springer.
## IGNORE_RDIFF_BEGIN
A <- model.matrix(~ Strip - 1, data=muscle)
rats.nls1 <- nls(log(Length) ~ cbind(A, rho^Conc),
data = muscle, start = c(rho=0.1), algorithm="plinear")
(B <- coef(rats.nls1))
st <- list(alpha = B[2:22], beta = B[23], rho = B[1])
(rats.nls2 <- nls(log(Length) ~ alpha[Strip] + beta*rho^Conc,
data = muscle, start = st))
## IGNORE_RDIFF_END
Muscle <- with(muscle, {
Muscle <- expand.grid(Conc = sort(unique(Conc)), Strip = levels(Strip))
Muscle$Yhat <- predict(rats.nls2, Muscle)
Muscle <- cbind(Muscle, logLength = rep(as.numeric(NA), 126))
ind <- match(paste(Strip, Conc),
paste(Muscle$Strip, Muscle$Conc))
Muscle$logLength[ind] <- log(Length)
Muscle})
lattice::xyplot(Yhat ~ Conc | Strip, Muscle, as.table = TRUE,
ylim = range(c(Muscle$Yhat, Muscle$logLength), na.rm = TRUE),
subscripts = TRUE, xlab = "Calcium Chloride concentration (mM)",
ylab = "log(Length in mm)", panel =
function(x, y, subscripts, ...) {
panel.xyplot(x, Muscle$logLength[subscripts], ...)
llines(spline(x, y))
})
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