i have a series of data in form of time and temperature value. I want to generate a trendline and find the subsequent equation. This could be done in excel. but, how could i find equation of the trendline in R.
abline function can be used to generate a trendline but where is the underlying equation?? I saw a link where they have used the following code to illustrate the issue
x <- sample(1:100, 100, replace = TRUE)
y <- x + rnorm(100, sd = 4)
mydf <- data.frame(x = x, y = y)
plot(y ~ x, data = mydf)
model <- lm(y ~ x, data = mydf)
abline(model, col = "red")
summary(model)
if you execute it, can make some sense of the result and see the equation, please let me know. else help me to get equation of trendlines with R
Thanks!
Answer
but where is the underlying equation?
In the “Coefficients”:
> coef(model)
(Intercept) x
1.2093273 0.9786051
Where “(Intercept)” is, well, the y-intercept, and “x” is the slope. In other words, you can retrieve the equation like this:
paste('y =', coef(model)[[2]], '* x', '+', coef(model)[[1]])