The lm function is used to fit linear models in R. It can be used to carry out regression, single stratum analysis of variance and analysis of covariance.
I am trying to run a boxcox transformation with the following code: urban1 <- subset(ski,urban <= 4,na.…
r eval lmI have a simple polynomial regression which I do as follows attach(mtcars) fit <- lm(mpg ~ hp + I(…
r plot lmWe got a lm object from and want to extract the standard error lm_aaa<- lm(aaa~x+…
r regression lm standard-errorI'm a beginner in R. Here is a very simple code where I'm trying to save the residual term: # Create …
r regression lmI want to calculate a linear regression using the lm() function in R. Additionally I want to get the slope …
r regression linear-regression lmPlease me out! I appreciate any helps ! Thanks! I have trouble on repeat doing re-sampling for 1000 times. I tried using …
r lm statistics-bootstrapI'm using lm on a time series, which works quite well actually, and it's super super fast. Let's say my …
r lmMy apologies for the dumb question...but I can't seem to find a simple solution I want to extract the …
r regression lm beta standardizedI was trying to automate a piece of my code so that programming become less tedious. Basically I was trying …
r paste lm