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 posted earlier today about an error I was getting with using the predict function. I was able to get …
r lm predictI have a regression model for some time series data investigating drug utilisation. The purpose is to fit a spline …
r regression lmI'm trying to predict a value in R using the predict() function, by passing along variables into the model. I …
r lm predictThis R code throws a warning # Fit regression model to each cluster y <- list() length(y) <- …
r statistics linear-regression lmHere are all the variables I'm working with: str(ad.train) $ Date : Factor w/ 427 levels "2012-03-24","2012-03-29",..: 4 7 12 14 19 21 24 29 31 34 ... $ Team : …
r regression lm glm r-faqI know that using summary will help me to do this manually, however, I will have to calculted tons of …
r lmI want to do a linear regression in R using the lm() function. My data is an annual time series …
r regression linear-regression lmI found peculiarity while using predict and lm function in R. I got different results for data frame and vector …
r prediction lm