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2009 Jan 28
1
gls prediction using the correlation structure in nlme
...0,0), ar = 0.7), n = 100)
y <-x + arima.sim(list(order = c(1,0,0), ar = 0.7), n = 100)
x <- c(x)
y <- c(y)
lm1 <- lm(y~x)
ar(residuals(lm1)) # indicates an ar1 model
cs1 <- corARMA(p=1)
fm1 <- gls(y~x,corr=cs1)
summary(fm1)
# get fits
fits <- predict(fm1)
# use coef to get fits
fits2 <- coef(fm1)[1] + (coef(fm1)[2] * x)
plot(fits,fits2)
2009 Jan 28
2
t.test in a loop
Hi All,
I've been having a little trouble with creating a loop that will run a a
series of t.tests for inspection,
Below is the code i've tried, and some checks i've looked at.
I've used the get(paste()) idea as i was told previously that the use of the
eval should try and be avoided.
I've run a single syntax to check that my systax is correct and works
without any problems